Assessing the Prognostic Value of Lung Ultrasound in Detecting Pulmonary Congestion in Acute Heart Failure Patients

preprint OA: closed
Full text JSON View at publisher
Full text 125,513 characters · extracted from preprint-html · click to expand
Assessing the Prognostic Value of Lung Ultrasound... | F1000Research "use strict";function _typeof(t){return(_typeof="function"==typeof Symbol&&"symbol"==typeof Symbol.iterator?function(t){return typeof t}:function(t){return t&&"function"==typeof Symbol&&t.constructor===Symbol&&t!==Symbol.prototype?"symbol":typeof t})(t)}!function(){var t=function(){var t,e,o=[],n=window,r=n;for(;r;){try{if(r.frames.__tcfapiLocator){t=r;break}}catch(t){}if(r===n.top)break;r=r.parent}t||(!function t(){var e=n.document,o=!!n.frames.__tcfapiLocator;if(!o)if(e.body){var r=e.createElement("iframe");r.style.cssText="display:none",r.name="__tcfapiLocator",e.body.appendChild(r)}else setTimeout(t,5);return!o}(),n.__tcfapi=function(){for(var t=arguments.length,n=new Array(t),r=0;r 3&&2===parseInt(n[1],10)&&"boolean"==typeof n[3]&&(e=n[3],"function"==typeof n[2]&&n[2]("set",!0)):"ping"===n[0]?"function"==typeof n[2]&&n[2]({gdprApplies:e,cmpLoaded:!1,cmpStatus:"stub"}):o.push(n)},n.addEventListener("message",(function(t){var e="string"==typeof t.data,o={};if(e)try{o=JSON.parse(t.data)}catch(t){}else o=t.data;var n="object"===_typeof(o)&&null!==o?o.__tcfapiCall:null;n&&window.__tcfapi(n.command,n.version,(function(o,r){var a={__tcfapiReturn:{returnValue:o,success:r,callId:n.callId}};t&&t.source&&t.source.postMessage&&t.source.postMessage(e?JSON.stringify(a):a,"*")}),n.parameter)}),!1))};"undefined"!=typeof module?module.exports=t:t()}(); dataLayer = dataLayer || []; // Standard GTM initialization - Google Consent Mode handles consent automatically (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start': new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0], j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src= 'https://www.googletagmanager.com/gtm.js?id='+i+dl+ '>m_auth=hzk0Vc3qFsQYhCrIoHz68A>m_preview=env-1>m_cookies_win=x';f.parentNode.insertBefore(j,f); })(window,document,'script','dataLayer','GTM-MWFK8L5J'); ;window.NREUM||(NREUM={});NREUM.init={distributed_tracing:{enabled:true},privacy:{cookies_enabled:true},ajax:{deny_list:["bam.nr-data.net"]}}; ;NREUM.loader_config={accountID:"438030",trustKey:"438030",agentID:"772317073",licenseKey:"97f8f67f26",applicationID:"772317073"} ;NREUM.info={beacon:"bam.nr-data.net",errorBeacon:"bam.nr-data.net",licenseKey:"97f8f67f26",applicationID:"772317073",sa:1} ;/*! For license information please see nr-loader-spa-1.236.0.min.js.LICENSE.txt */ (()=>{"use strict";var e,t,r={5763:(e,t,r)=>{r.d(t,{P_:()=>l,Mt:()=>g,C5:()=>s,DL:()=>v,OP:()=>T,lF:()=>D,Yu:()=>y,Dg:()=>h,CX:()=>c,GE:()=>b,sU:()=>_});var n=r(8632),i=r(9567);const o={beacon:n.ce.beacon,errorBeacon:n.ce.errorBeacon,licenseKey:void 0,applicationID:void 0,sa:void 0,queueTime:void 0,applicationTime:void 0,ttGuid:void 0,user:void 0,account:void 0,product:void 0,extra:void 0,jsAttributes:{},userAttributes:void 0,atts:void 0,transactionName:void 0,tNamePlain:void 0},a={};function s(e){if(!e)throw new Error("All info objects require an agent identifier!");if(!a[e])throw new Error("Info for ".concat(e," was never set"));return a[e]}function c(e,t){if(!e)throw new Error("All info objects require an agent identifier!");a[e]=(0,i.D)(t,o),(0,n.Qy)(e,a[e],"info")}var u=r(7056);const d=()=>{const e={blockSelector:"[data-nr-block]",maskInputOptions:{password:!0}};return{allow_bfcache:!0,privacy:{cookies_enabled:!0},ajax:{deny_list:void 0,enabled:!0,harvestTimeSeconds:10},distributed_tracing:{enabled:void 0,exclude_newrelic_header:void 0,cors_use_newrelic_header:void 0,cors_use_tracecontext_headers:void 0,allowed_origins:void 0},session:{domain:void 0,expiresMs:u.oD,inactiveMs:u.Hb},ssl:void 0,obfuscate:void 0,jserrors:{enabled:!0,harvestTimeSeconds:10},metrics:{enabled:!0},page_action:{enabled:!0,harvestTimeSeconds:30},page_view_event:{enabled:!0},page_view_timing:{enabled:!0,harvestTimeSeconds:30,long_task:!1},session_trace:{enabled:!0,harvestTimeSeconds:10},harvest:{tooManyRequestsDelay:60},session_replay:{enabled:!1,harvestTimeSeconds:60,sampleRate:.1,errorSampleRate:.1,maskTextSelector:"*",maskAllInputs:!0,get blockClass(){return"nr-block"},get ignoreClass(){return"nr-ignore"},get maskTextClass(){return"nr-mask"},get blockSelector(){return e.blockSelector},set blockSelector(t){e.blockSelector+=",".concat(t)},get maskInputOptions(){return e.maskInputOptions},set maskInputOptions(t){e.maskInputOptions={...t,password:!0}}},spa:{enabled:!0,harvestTimeSeconds:10}}},f={};function l(e){if(!e)throw new Error("All configuration objects require an agent identifier!");if(!f[e])throw new Error("Configuration for ".concat(e," was never set"));return f[e]}function h(e,t){if(!e)throw new Error("All configuration objects require an agent identifier!");f[e]=(0,i.D)(t,d()),(0,n.Qy)(e,f[e],"config")}function g(e,t){if(!e)throw new Error("All configuration objects require an agent identifier!");var r=l(e);if(r){for(var n=t.split("."),i=0;i {r.d(t,{D:()=>i});var n=r(50);function i(e,t){try{if(!e||"object"!=typeof e)return(0,n.Z)("Setting a Configurable requires an object as input");if(!t||"object"!=typeof t)return(0,n.Z)("Setting a Configurable requires a model to set its initial properties");const r=Object.create(Object.getPrototypeOf(t),Object.getOwnPropertyDescriptors(t)),o=0===Object.keys(r).length?e:r;for(let a in o)if(void 0!==e[a])try{"object"==typeof e[a]&&"object"==typeof t[a]?r[a]=i(e[a],t[a]):r[a]=e[a]}catch(e){(0,n.Z)("An error occurred while setting a property of a Configurable",e)}return r}catch(e){(0,n.Z)("An error occured while setting a Configurable",e)}}},6818:(e,t,r)=>{r.d(t,{Re:()=>i,gF:()=>o,q4:()=>n});const n="1.236.0",i="PROD",o="CDN"},385:(e,t,r)=>{r.d(t,{FN:()=>a,IF:()=>u,Nk:()=>f,Tt:()=>s,_A:()=>o,il:()=>n,pL:()=>c,v6:()=>i,w1:()=>d});const n="undefined"!=typeof window&&!!window.document,i="undefined"!=typeof WorkerGlobalScope&&("undefined"!=typeof self&&self instanceof WorkerGlobalScope&&self.navigator instanceof WorkerNavigator||"undefined"!=typeof globalThis&&globalThis instanceof WorkerGlobalScope&&globalThis.navigator instanceof WorkerNavigator),o=n?window:"undefined"!=typeof WorkerGlobalScope&&("undefined"!=typeof self&&self instanceof WorkerGlobalScope&&self||"undefined"!=typeof globalThis&&globalThis instanceof WorkerGlobalScope&&globalThis),a=""+o?.location,s=/iPad|iPhone|iPod/.test(navigator.userAgent),c=s&&"undefined"==typeof SharedWorker,u=(()=>{const e=navigator.userAgent.match(/Firefox[/\s](\d+\.\d+)/);return Array.isArray(e)&&e.length>=2?+e[1]:0})(),d=Boolean(n&&window.document.documentMode),f=!!navigator.sendBeacon},1117:(e,t,r)=>{r.d(t,{w:()=>o});var n=r(50);const i={agentIdentifier:"",ee:void 0};class o{constructor(e){try{if("object"!=typeof e)return(0,n.Z)("shared context requires an object as input");this.sharedContext={},Object.assign(this.sharedContext,i),Object.entries(e).forEach((e=>{let[t,r]=e;Object.keys(i).includes(t)&&(this.sharedContext[t]=r)}))}catch(e){(0,n.Z)("An error occured while setting SharedContext",e)}}}},8e3:(e,t,r)=>{r.d(t,{L:()=>d,R:()=>c});var n=r(2177),i=r(1284),o=r(4322),a=r(3325);const s={};function c(e,t){const r={staged:!1,priority:a.p[t]||0};u(e),s[e].get(t)||s[e].set(t,r)}function u(e){e&&(s[e]||(s[e]=new Map))}function d(){let e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:"",t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:"feature";if(u(e),!e||!s[e].get(t))return a(t);s[e].get(t).staged=!0;const r=[...s[e]];function a(t){const r=e?n.ee.get(e):n.ee,a=o.X.handlers;if(r.backlog&&a){var s=r.backlog[t],c=a[t];if(c){for(var u=0;s&&u {let[t,r]=e;return r.staged}))&&(r.sort(((e,t)=>e[1].priority-t[1].priority)),r.forEach((e=>{let[t]=e;a(t)})))}function f(e,t){var r=e[1];(0,i.D)(t[r],(function(t,r){var n=e[0];if(r[0]===n){var i=r[1],o=e[3],a=e[2];i.apply(o,a)}}))}},2177:(e,t,r)=>{r.d(t,{c:()=>f,ee:()=>u});var n=r(8632),i=r(2210),o=r(1284),a=r(5763),s="nr@context";let c=(0,n.fP)();var u;function d(){}function f(e){return(0,i.X)(e,s,l)}function l(){return new d}function h(){u.aborted=!0,u.backlog={}}c.ee?u=c.ee:(u=function e(t,r){var n={},c={},f={},g=!1;try{g=16===r.length&&(0,a.OP)(r).isolatedBacklog}catch(e){}var p={on:b,addEventListener:b,removeEventListener:y,emit:v,get:x,listeners:w,context:m,buffer:A,abort:h,aborted:!1,isBuffering:E,debugId:r,backlog:g?{}:t&&"object"==typeof t.backlog?t.backlog:{}};return p;function m(e){return e&&e instanceof d?e:e?(0,i.X)(e,s,l):l()}function v(e,r,n,i,o){if(!1!==o&&(o=!0),!u.aborted||i){t&&o&&t.emit(e,r,n);for(var a=m(n),s=w(e),d=s.length,f=0;fn,p:()=>i});var n=r(2177).ee.get("handle");function i(e,t,r,i,o){o?(o.buffer([e],i),o.emit(e,t,r)):(n.buffer([e],i),n.emit(e,t,r))}},4322:(e,t,r)=>{r.d(t,{X:()=>o});var n=r(5546);o.on=a;var i=o.handlers={};function o(e,t,r,o){a(o||n.E,i,e,t,r)}function a(e,t,r,i,o){o||(o="feature"),e||(e=n.E);var a=t[o]=t[o]||{};(a[r]=a[r]||[]).push([e,i])}},3239:(e,t,r)=>{r.d(t,{bP:()=>s,iz:()=>c,m$:()=>a});var n=r(385);let i=!1,o=!1;try{const e={get passive(){return i=!0,!1},get signal(){return o=!0,!1}};n._A.addEventListener("test",null,e),n._A.removeEventListener("test",null,e)}catch(e){}function a(e,t){return i||o?{capture:!!e,passive:i,signal:t}:!!e}function s(e,t){let r=arguments.length>2&&void 0!==arguments[2]&&arguments[2],n=arguments.length>3?arguments[3]:void 0;window.addEventListener(e,t,a(r,n))}function c(e,t){let r=arguments.length>2&&void 0!==arguments[2]&&arguments[2],n=arguments.length>3?arguments[3]:void 0;document.addEventListener(e,t,a(r,n))}},4402:(e,t,r)=>{r.d(t,{Ht:()=>u,M:()=>c,Rl:()=>a,ky:()=>s});var n=r(385);const i="xxxxxxxx-xxxx-4xxx-yxxx-xxxxxxxxxxxx";function o(e,t){return e?15&e[t]:16*Math.random()|0}function a(){const e=n._A?.crypto||n._A?.msCrypto;let t,r=0;return e&&e.getRandomValues&&(t=e.getRandomValues(new Uint8Array(31))),i.split("").map((e=>"x"===e?o(t,++r).toString(16):"y"===e?(3&o()|8).toString(16):e)).join("")}function s(e){const t=n._A?.crypto||n._A?.msCrypto;let r,i=0;t&&t.getRandomValues&&(r=t.getRandomValues(new Uint8Array(31)));const a=[];for(var s=0;s {r.d(t,{Bq:()=>n,Hb:()=>o,oD:()=>i});const n="NRBA",i=144e5,o=18e5},7894:(e,t,r)=>{function n(){return Math.round(performance.now())}r.d(t,{z:()=>n})},7243:(e,t,r)=>{r.d(t,{e:()=>o});var n=r(385),i={};function o(e){if(e in i)return i[e];if(0===(e||"").indexOf("data:"))return{protocol:"data"};let t;var r=n._A?.location,o={};if(n.il)t=document.createElement("a"),t.href=e;else try{t=new URL(e,r.href)}catch(e){return o}o.port=t.port;var a=t.href.split("://");!o.port&&a[1]&&(o.port=a[1].split("/")[0].split("@").pop().split(":")[1]),o.port&&"0"!==o.port||(o.port="https"===a[0]?"443":"80"),o.hostname=t.hostname||r.hostname,o.pathname=t.pathname,o.protocol=a[0],"/"!==o.pathname.charAt(0)&&(o.pathname="/"+o.pathname);var s=!t.protocol||":"===t.protocol||t.protocol===r.protocol,c=t.hostname===r.hostname&&t.port===r.port;return o.sameOrigin=s&&(!t.hostname||c),"/"===o.pathname&&(i[e]=o),o}},50:(e,t,r)=>{function n(e,t){"function"==typeof console.warn&&(console.warn("New Relic: ".concat(e)),t&&console.warn(t))}r.d(t,{Z:()=>n})},2587:(e,t,r)=>{r.d(t,{N:()=>c,T:()=>u});var n=r(2177),i=r(5546),o=r(8e3),a=r(3325);const s={stn:[a.D.sessionTrace],err:[a.D.jserrors,a.D.metrics],ins:[a.D.pageAction],spa:[a.D.spa],sr:[a.D.sessionReplay,a.D.sessionTrace]};function c(e,t){const r=n.ee.get(t);e&&"object"==typeof e&&(Object.entries(e).forEach((e=>{let[t,n]=e;void 0===u[t]&&(s[t]?s[t].forEach((e=>{n?(0,i.p)("feat-"+t,[],void 0,e,r):(0,i.p)("block-"+t,[],void 0,e,r),(0,i.p)("rumresp-"+t,[Boolean(n)],void 0,e,r)})):n&&(0,i.p)("feat-"+t,[],void 0,void 0,r),u[t]=Boolean(n))})),Object.keys(s).forEach((e=>{void 0===u[e]&&(s[e]?.forEach((t=>(0,i.p)("rumresp-"+e,[!1],void 0,t,r))),u[e]=!1)})),(0,o.L)(t,a.D.pageViewEvent))}const u={}},2210:(e,t,r)=>{r.d(t,{X:()=>i});var n=Object.prototype.hasOwnProperty;function i(e,t,r){if(n.call(e,t))return e[t];var i=r();if(Object.defineProperty&&Object.keys)try{return Object.defineProperty(e,t,{value:i,writable:!0,enumerable:!1}),i}catch(e){}return e[t]=i,i}},1284:(e,t,r)=>{r.d(t,{D:()=>n});const n=(e,t)=>Object.entries(e||{}).map((e=>{let[r,n]=e;return t(r,n)}))},4351:(e,t,r)=>{r.d(t,{P:()=>o});var n=r(2177);const i=()=>{const e=new WeakSet;return(t,r)=>{if("object"==typeof r&&null!==r){if(e.has(r))return;e.add(r)}return r}};function o(e){try{return JSON.stringify(e,i())}catch(e){try{n.ee.emit("internal-error",[e])}catch(e){}}}},3960:(e,t,r)=>{r.d(t,{K:()=>a,b:()=>o});var n=r(3239);function i(){return"undefined"==typeof document||"complete"===document.readyState}function o(e,t){if(i())return e();(0,n.bP)("load",e,t)}function a(e){if(i())return e();(0,n.iz)("DOMContentLoaded",e)}},8632:(e,t,r)=>{r.d(t,{EZ:()=>u,Qy:()=>c,ce:()=>o,fP:()=>a,gG:()=>d,mF:()=>s});var n=r(7894),i=r(385);const o={beacon:"bam.nr-data.net",errorBeacon:"bam.nr-data.net"};function a(){return i._A.NREUM||(i._A.NREUM={}),void 0===i._A.newrelic&&(i._A.newrelic=i._A.NREUM),i._A.NREUM}function s(){let e=a();return e.o||(e.o={ST:i._A.setTimeout,SI:i._A.setImmediate,CT:i._A.clearTimeout,XHR:i._A.XMLHttpRequest,REQ:i._A.Request,EV:i._A.Event,PR:i._A.Promise,MO:i._A.MutationObserver,FETCH:i._A.fetch}),e}function c(e,t,r){let i=a();const o=i.initializedAgents||{},s=o[e]||{};return Object.keys(s).length||(s.initializedAt={ms:(0,n.z)(),date:new Date}),i.initializedAgents={...o,[e]:{...s,[r]:t}},i}function u(e,t){a()[e]=t}function d(){return function(){let e=a();const t=e.info||{};e.info={beacon:o.beacon,errorBeacon:o.errorBeacon,...t}}(),function(){let e=a();const t=e.init||{};e.init={...t}}(),s(),function(){let e=a();const t=e.loader_config||{};e.loader_config={...t}}(),a()}},7956:(e,t,r)=>{r.d(t,{N:()=>i});var n=r(3239);function i(e){let t=arguments.length>1&&void 0!==arguments[1]&&arguments[1],r=arguments.length>2?arguments[2]:void 0,i=arguments.length>3?arguments[3]:void 0;return void(0,n.iz)("visibilitychange",(function(){if(t)return void("hidden"==document.visibilityState&&e());e(document.visibilityState)}),r,i)}},1214:(e,t,r)=>{r.d(t,{em:()=>v,u5:()=>N,QU:()=>S,_L:()=>I,Gm:()=>L,Lg:()=>M,gy:()=>U,BV:()=>Q,Kf:()=>ee});var n=r(2177);const i="nr@original";var o=Object.prototype.hasOwnProperty,a=!1;function s(e,t){return e||(e=n.ee),r.inPlace=function(e,t,n,i,o){n||(n="");var a,s,c,u="-"===n.charAt(0);for(c=0;c 2?n-2:0),o=2;o {r(A[T],e,w),r(E[T],e,w)})),r(l._A,"fetch",y),t.on(y+"end",(function(e,r){var n=this;if(r){var i=r.headers.get("content-length");null!==i&&(n.rxSize=i),t.emit(y+"done",[null,r],n)}else t.emit(y+"done",[e],n)})),t}const O={},j=["pushState","replaceState"];function S(e){const t=function(e){return(e||n.ee).get("history")}(e);return!l.il||O[t.debugId]++||(O[t.debugId]=1,s(t).inPlace(window.history,j,"-")),t}var P=r(3239);const C={},R=["appendChild","insertBefore","replaceChild"];function I(e){const t=function(e){return(e||n.ee).get("jsonp")}(e);if(!l.il||C[t.debugId])return t;C[t.debugId]=!0;var r=s(t),i=/[?&](?:callback|cb)=([^&#]+)/,o=/(.*)\.([^.]+)/,a=/^(\w+)(\.|$)(.*)$/;function c(e,t){var r=e.match(a),n=r[1],i=r[3];return i?c(i,t[n]):t[n]}return r.inPlace(Node.prototype,R,"dom-"),t.on("dom-start",(function(e){!function(e){if(!e||"string"!=typeof e.nodeName||"script"!==e.nodeName.toLowerCase())return;if("function"!=typeof e.addEventListener)return;var n=(a=e.src,s=a.match(i),s?s[1]:null);var a,s;if(!n)return;var u=function(e){var t=e.match(o);if(t&&t.length>=3)return{key:t[2],parent:c(t[1],window)};return{key:e,parent:window}}(n);if("function"!=typeof u.parent[u.key])return;var d={};function f(){t.emit("jsonp-end",[],d),e.removeEventListener("load",f,(0,P.m$)(!1)),e.removeEventListener("error",l,(0,P.m$)(!1))}function l(){t.emit("jsonp-error",[],d),t.emit("jsonp-end",[],d),e.removeEventListener("load",f,(0,P.m$)(!1)),e.removeEventListener("error",l,(0,P.m$)(!1))}r.inPlace(u.parent,[u.key],"cb-",d),e.addEventListener("load",f,(0,P.m$)(!1)),e.addEventListener("error",l,(0,P.m$)(!1)),t.emit("new-jsonp",[e.src],d)}(e[0])})),t}var k=r(5763);const H={};function L(e){const t=function(e){return(e||n.ee).get("mutation")}(e);if(!l.il||H[t.debugId])return t;H[t.debugId]=!0;var r=s(t),i=k.Yu.MO;return i&&(window.MutationObserver=function(e){return this instanceof i?new i(r(e,"fn-")):i.apply(this,arguments)},MutationObserver.prototype=i.prototype),t}const z={};function M(e){const t=function(e){return(e||n.ee).get("promise")}(e);if(z[t.debugId])return t;z[t.debugId]=!0;var r=n.c,o=s(t),a=k.Yu.PR;return a&&function(){function e(r){var n=t.context(),i=o(r,"executor-",n,null,!1);const s=Reflect.construct(a,[i],e);return t.context(s).getCtx=function(){return n},s}l._A.Promise=e,Object.defineProperty(e,"name",{value:"Promise"}),e.toString=function(){return a.toString()},Object.setPrototypeOf(e,a),["all","race"].forEach((function(r){const n=a[r];e[r]=function(e){let i=!1;[...e||[]].forEach((e=>{this.resolve(e).then(a("all"===r),a(!1))}));const o=n.apply(this,arguments);return o;function a(e){return function(){t.emit("propagate",[null,!i],o,!1,!1),i=i||!e}}}})),["resolve","reject"].forEach((function(r){const n=a[r];e[r]=function(e){const r=n.apply(this,arguments);return e!==r&&t.emit("propagate",[e,!0],r,!1,!1),r}})),e.prototype=a.prototype;const n=a.prototype.then;a.prototype.then=function(){var e=this,i=r(e);i.promise=e;for(var a=arguments.length,s=new Array(a),c=0;c e())),t};function m(e,t){i.inPlace(t,["onreadystatechange"],"fn-",E)}function b(){var e=this,t=r.context(e);e.readyState>3&&!t.resolved&&(t.resolved=!0,r.emit("xhr-resolved",[],e)),i.inPlace(e,f,"fn-",E)}if(function(e,t){for(var r in e)t[r]=e[r]}(o,p),p.prototype=o.prototype,i.inPlace(p.prototype,J,"-xhr-",E),r.on("send-xhr-start",(function(e,t){m(e,t),function(e){h.push(e),a&&(y?y.then(A):u?u(A):(w=-w,x.data=w))}(t)})),r.on("open-xhr-start",m),a){var y=c&&c.resolve();if(!u&&!c){var w=1,x=document.createTextNode(w);new a(A).observe(x,{characterData:!0})}}else t.on("fn-end",(function(e){e[0]&&e[0].type===d||A()}));function A(){for(var e=0;e {r.d(t,{t:()=>n});const n=r(3325).D.ajax},6660:(e,t,r)=>{r.d(t,{A:()=>i,t:()=>n});const n=r(3325).D.jserrors,i="nr@seenError"},3081:(e,t,r)=>{r.d(t,{gF:()=>o,mY:()=>i,t9:()=>n,vz:()=>s,xS:()=>a});const n=r(3325).D.metrics,i="sm",o="cm",a="storeSupportabilityMetrics",s="storeEventMetrics"},4649:(e,t,r)=>{r.d(t,{t:()=>n});const n=r(3325).D.pageAction},7633:(e,t,r)=>{r.d(t,{Dz:()=>i,OJ:()=>a,qw:()=>o,t9:()=>n});const n=r(3325).D.pageViewEvent,i="firstbyte",o="domcontent",a="windowload"},9251:(e,t,r)=>{r.d(t,{t:()=>n});const n=r(3325).D.pageViewTiming},3614:(e,t,r)=>{r.d(t,{BST_RESOURCE:()=>i,END:()=>s,FEATURE_NAME:()=>n,FN_END:()=>u,FN_START:()=>c,PUSH_STATE:()=>d,RESOURCE:()=>o,START:()=>a});const n=r(3325).D.sessionTrace,i="bstResource",o="resource",a="-start",s="-end",c="fn"+a,u="fn"+s,d="pushState"},7836:(e,t,r)=>{r.d(t,{BODY:()=>A,CB_END:()=>E,CB_START:()=>u,END:()=>x,FEATURE_NAME:()=>i,FETCH:()=>_,FETCH_BODY:()=>v,FETCH_DONE:()=>m,FETCH_START:()=>p,FN_END:()=>c,FN_START:()=>s,INTERACTION:()=>l,INTERACTION_API:()=>d,INTERACTION_EVENTS:()=>o,JSONP_END:()=>b,JSONP_NODE:()=>g,JS_TIME:()=>T,MAX_TIMER_BUDGET:()=>a,REMAINING:()=>f,SPA_NODE:()=>h,START:()=>w,originalSetTimeout:()=>y});var n=r(5763);const i=r(3325).D.spa,o=["click","submit","keypress","keydown","keyup","change"],a=999,s="fn-start",c="fn-end",u="cb-start",d="api-ixn-",f="remaining",l="interaction",h="spaNode",g="jsonpNode",p="fetch-start",m="fetch-done",v="fetch-body-",b="jsonp-end",y=n.Yu.ST,w="-start",x="-end",A="-body",E="cb"+x,T="jsTime",_="fetch"},5938:(e,t,r)=>{r.d(t,{W:()=>o});var n=r(5763),i=r(2177);class o{constructor(e,t,r){this.agentIdentifier=e,this.aggregator=t,this.ee=i.ee.get(e,(0,n.OP)(this.agentIdentifier).isolatedBacklog),this.featureName=r,this.blocked=!1}}},9144:(e,t,r)=>{r.d(t,{j:()=>m});var n=r(3325),i=r(5763),o=r(5546),a=r(2177),s=r(7894),c=r(8e3),u=r(3960),d=r(385),f=r(50),l=r(3081),h=r(8632);function g(){const e=(0,h.gG)();["setErrorHandler","finished","addToTrace","inlineHit","addRelease","addPageAction","setCurrentRouteName","setPageViewName","setCustomAttribute","interaction","noticeError","setUserId"].forEach((t=>{e[t]=function(){for(var r=arguments.length,n=new Array(r),i=0;i 1?r-1:0),i=1;i {e.exposed&&e.api[t]&&o.push(e.api[t](...n))})),o.length>1?o:o[0]}(t,...n)}}))}var p=r(2587);function m(e){let t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:{},m=arguments.length>2?arguments[2]:void 0,v=arguments.length>3?arguments[3]:void 0,{init:b,info:y,loader_config:w,runtime:x={loaderType:m},exposed:A=!0}=t;const E=(0,h.gG)();y||(b=E.init,y=E.info,w=E.loader_config),(0,i.Dg)(e,b||{}),(0,i.GE)(e,w||{}),(0,i.sU)(e,x),y.jsAttributes??={},d.v6&&(y.jsAttributes.isWorker=!0),(0,i.CX)(e,y),g();const T=function(e,t){t||(0,c.R)(e,"api");const h={};var g=a.ee.get(e),p=g.get("tracer"),m="api-",v=m+"ixn-";function b(t,r,n,o){const a=(0,i.C5)(e);return null===r?delete a.jsAttributes[t]:(0,i.CX)(e,{...a,jsAttributes:{...a.jsAttributes,[t]:r}}),x(m,n,!0,o||null===r?"session":void 0)(t,r)}function y(){}["setErrorHandler","finished","addToTrace","inlineHit","addRelease"].forEach((e=>h[e]=x(m,e,!0,"api"))),h.addPageAction=x(m,"addPageAction",!0,n.D.pageAction),h.setCurrentRouteName=x(m,"routeName",!0,n.D.spa),h.setPageViewName=function(t,r){if("string"==typeof t)return"/"!==t.charAt(0)&&(t="/"+t),(0,i.OP)(e).customTransaction=(r||"http://custom.transaction")+t,x(m,"setPageViewName",!0)()},h.setCustomAttribute=function(e,t){let r=arguments.length>2&&void 0!==arguments[2]&&arguments[2];if("string"==typeof e){if(["string","number"].includes(typeof t)||null===t)return b(e,t,"setCustomAttribute",r);(0,f.Z)("Failed to execute setCustomAttribute.\nNon-null value must be a string or number type, but a type of was provided."))}else(0,f.Z)("Failed to execute setCustomAttribute.\nName must be a string type, but a type of was provided."))},h.setUserId=function(e){if("string"==typeof e||null===e)return b("enduser.id",e,"setUserId",!0);(0,f.Z)("Failed to execute setUserId.\nNon-null value must be a string type, but a type of was provided."))},h.interaction=function(){return(new y).get()};var w=y.prototype={createTracer:function(e,t){var r={},i=this,a="function"==typeof t;return(0,o.p)(v+"tracer",[(0,s.z)(),e,r],i,n.D.spa,g),function(){if(p.emit((a?"":"no-")+"fn-start",[(0,s.z)(),i,a],r),a)try{return t.apply(this,arguments)}catch(e){throw p.emit("fn-err",[arguments,this,"string"==typeof e?new Error(e):e],r),e}finally{p.emit("fn-end",[(0,s.z)()],r)}}}};function x(e,t,r,i){return function(){return(0,o.p)(l.xS,["API/"+t+"/called"],void 0,n.D.metrics,g),i&&(0,o.p)(e+t,[(0,s.z)(),...arguments],r?null:this,i,g),r?void 0:this}}function A(){r.e(439).then(r.bind(r,7438)).then((t=>{let{setAPI:r}=t;r(e),(0,c.L)(e,"api")})).catch((()=>(0,f.Z)("Downloading runtime APIs failed...")))}return["actionText","setName","setAttribute","save","ignore","onEnd","getContext","end","get"].forEach((e=>{w[e]=x(v,e,void 0,n.D.spa)})),h.noticeError=function(e,t){"string"==typeof e&&(e=new Error(e)),(0,o.p)(l.xS,["API/noticeError/called"],void 0,n.D.metrics,g),(0,o.p)("err",[e,(0,s.z)(),!1,t],void 0,n.D.jserrors,g)},d.il?(0,u.b)((()=>A()),!0):A(),h}(e,v);return(0,h.Qy)(e,T,"api"),(0,h.Qy)(e,A,"exposed"),(0,h.EZ)("activatedFeatures",p.T),T}},3325:(e,t,r)=>{r.d(t,{D:()=>n,p:()=>i});const n={ajax:"ajax",jserrors:"jserrors",metrics:"metrics",pageAction:"page_action",pageViewEvent:"page_view_event",pageViewTiming:"page_view_timing",sessionReplay:"session_replay",sessionTrace:"session_trace",spa:"spa"},i={[n.pageViewEvent]:1,[n.pageViewTiming]:2,[n.metrics]:3,[n.jserrors]:4,[n.ajax]:5,[n.sessionTrace]:6,[n.pageAction]:7,[n.spa]:8,[n.sessionReplay]:9}}},n={};function i(e){var t=n[e];if(void 0!==t)return t.exports;var o=n[e]={exports:{}};return r[e](o,o.exports,i),o.exports}i.m=r,i.d=(e,t)=>{for(var r in t)i.o(t,r)&&!i.o(e,r)&&Object.defineProperty(e,r,{enumerable:!0,get:t[r]})},i.f={},i.e=e=>Promise.all(Object.keys(i.f).reduce(((t,r)=>(i.f[r](e,t),t)),[])),i.u=e=>(({78:"page_action-aggregate",147:"metrics-aggregate",242:"session-manager",317:"jserrors-aggregate",348:"page_view_timing-aggregate",412:"lazy-feature-loader",439:"async-api",538:"recorder",590:"session_replay-aggregate",675:"compressor",733:"session_trace-aggregate",786:"page_view_event-aggregate",873:"spa-aggregate",898:"ajax-aggregate"}[e]||e)+"."+{78:"ac76d497",147:"3dc53903",148:"1a20d5fe",242:"2a64278a",317:"49e41428",348:"bd6de33a",412:"2f55ce66",439:"30bd804e",538:"1b18459f",590:"cf0efb30",675:"ae9f91a8",733:"83105561",786:"06482edd",860:"03a8b7a5",873:"e6b09d52",898:"998ef92b"}[e]+"-1.236.0.min.js"),i.o=(e,t)=>Object.prototype.hasOwnProperty.call(e,t),e={},t="NRBA:",i.l=(r,n,o,a)=>{if(e[r])e[r].push(n);else{var s,c;if(void 0!==o)for(var u=document.getElementsByTagName("script"),d=0;d {s.onerror=s.onload=null,clearTimeout(h);var i=e[r];if(delete e[r],s.parentNode&&s.parentNode.removeChild(s),i&&i.forEach((e=>e(n))),t)return t(n)},h=setTimeout(l.bind(null,void 0,{type:"timeout",target:s}),12e4);s.onerror=l.bind(null,s.onerror),s.onload=l.bind(null,s.onload),c&&document.head.appendChild(s)}},i.r=e=>{"undefined"!=typeof Symbol&&Symbol.toStringTag&&Object.defineProperty(e,Symbol.toStringTag,{value:"Module"}),Object.defineProperty(e,"__esModule",{value:!0})},i.j=364,i.p="https://js-agent.newrelic.com/",(()=>{var e={364:0,953:0};i.f.j=(t,r)=>{var n=i.o(e,t)?e[t]:void 0;if(0!==n)if(n)r.push(n[2]);else{var o=new Promise(((r,i)=>n=e[t]=[r,i]));r.push(n[2]=o);var a=i.p+i.u(t),s=new Error;i.l(a,(r=>{if(i.o(e,t)&&(0!==(n=e[t])&&(e[t]=void 0),n)){var o=r&&("load"===r.type?"missing":r.type),a=r&&r.target&&r.target.src;s.message="Loading chunk "+t+" failed.\n("+o+": "+a+")",s.name="ChunkLoadError",s.type=o,s.request=a,n[1](s)}}),"chunk-"+t,t)}};var t=(t,r)=>{var n,o,[a,s,c]=r,u=0;if(a.some((t=>0!==e[t]))){for(n in s)i.o(s,n)&&(i.m[n]=s[n]);if(c)c(i)}for(t&&t(r);u {i.r(o);var e=i(3325),t=i(5763);const r=Object.values(e.D);function n(e){const n={};return r.forEach((r=>{n[r]=function(e,r){return!1!==(0,t.Mt)(r,"".concat(e,".enabled"))}(r,e)})),n}var a=i(9144);var s=i(5546),c=i(385),u=i(8e3),d=i(5938),f=i(3960),l=i(50);class h extends d.W{constructor(e,t,r){let n=!(arguments.length>3&&void 0!==arguments[3])||arguments[3];super(e,t,r),this.auto=n,this.abortHandler,this.featAggregate,this.onAggregateImported,n&&(0,u.R)(e,r)}importAggregator(){let e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:{};if(this.featAggregate||!this.auto)return;const r=c.il&&!0===(0,t.Mt)(this.agentIdentifier,"privacy.cookies_enabled");let n;this.onAggregateImported=new Promise((e=>{n=e}));const o=async()=>{let t;try{if(r){const{setupAgentSession:e}=await Promise.all([i.e(860),i.e(242)]).then(i.bind(i,3228));t=e(this.agentIdentifier)}}catch(e){(0,l.Z)("A problem occurred when starting up session manager. This page will not start or extend any session.",e)}try{if(!this.shouldImportAgg(this.featureName,t))return void(0,u.L)(this.agentIdentifier,this.featureName);const{lazyFeatureLoader:r}=await i.e(412).then(i.bind(i,8582)),{Aggregate:o}=await r(this.featureName,"aggregate");this.featAggregate=new o(this.agentIdentifier,this.aggregator,e),n(!0)}catch(e){(0,l.Z)("Downloading and initializing ".concat(this.featureName," failed..."),e),this.abortHandler?.(),n(!1)}};c.il?(0,f.b)((()=>o()),!0):o()}shouldImportAgg(r,n){return r!==e.D.sessionReplay||!1!==(0,t.Mt)(this.agentIdentifier,"session_trace.enabled")&&(!!n?.isNew||!!n?.state.sessionReplay)}}var g=i(7633),p=i(7894);class m extends h{static featureName=g.t9;constructor(r,n){let i=!(arguments.length>2&&void 0!==arguments[2])||arguments[2];if(super(r,n,g.t9,i),("undefined"==typeof PerformanceNavigationTiming||c.Tt)&&"undefined"!=typeof PerformanceTiming){const n=(0,t.OP)(r);n[g.Dz]=Math.max(Date.now()-n.offset,0),(0,f.K)((()=>n[g.qw]=Math.max((0,p.z)()-n[g.Dz],0))),(0,f.b)((()=>{const t=(0,p.z)();n[g.OJ]=Math.max(t-n[g.Dz],0),(0,s.p)("timing",["load",t],void 0,e.D.pageViewTiming,this.ee)}))}this.importAggregator()}}var v=i(1117),b=i(1284);class y extends v.w{constructor(e){super(e),this.aggregatedData={}}store(e,t,r,n,i){var o=this.getBucket(e,t,r,i);return o.metrics=function(e,t){t||(t={count:0});return t.count+=1,(0,b.D)(e,(function(e,r){t[e]=w(r,t[e])})),t}(n,o.metrics),o}merge(e,t,r,n,i){var o=this.getBucket(e,t,n,i);if(o.metrics){var a=o.metrics;a.count+=r.count,(0,b.D)(r,(function(e,t){if("count"!==e){var n=a[e],i=r[e];i&&!i.c?a[e]=w(i.t,n):a[e]=function(e,t){if(!t)return e;t.c||(t=x(t.t));return t.min=Math.min(e.min,t.min),t.max=Math.max(e.max,t.max),t.t+=e.t,t.sos+=e.sos,t.c+=e.c,t}(i,a[e])}}))}else o.metrics=r}storeMetric(e,t,r,n){var i=this.getBucket(e,t,r);return i.stats=w(n,i.stats),i}getBucket(e,t,r,n){this.aggregatedData[e]||(this.aggregatedData[e]={});var i=this.aggregatedData[e][t];return i||(i=this.aggregatedData[e][t]={params:r||{}},n&&(i.custom=n)),i}get(e,t){return t?this.aggregatedData[e]&&this.aggregatedData[e][t]:this.aggregatedData[e]}take(e){for(var t={},r="",n=!1,i=0;i t.max&&(t.max=e),e 2&&void 0!==arguments[2])||arguments[2];super(e,r,j.t,n),c.il&&((0,t.OP)(e).initHidden=Boolean("hidden"===document.visibilityState),(0,N.N)((()=>(0,s.p)("docHidden",[(0,p.z)()],void 0,j.t,this.ee)),!0),(0,O.bP)("pagehide",(()=>(0,s.p)("winPagehide",[(0,p.z)()],void 0,j.t,this.ee))),this.importAggregator())}}var P=i(3081);class C extends h{static featureName=P.t9;constructor(e,t){let r=!(arguments.length>2&&void 0!==arguments[2])||arguments[2];super(e,t,P.t9,r),this.importAggregator()}}var R,I=i(2210),k=i(1214),H=i(2177),L={};try{R=localStorage.getItem("__nr_flags").split(","),console&&"function"==typeof console.log&&(L.console=!0,-1!==R.indexOf("dev")&&(L.dev=!0),-1!==R.indexOf("nr_dev")&&(L.nrDev=!0))}catch(e){}function z(e){try{L.console&&z(e)}catch(e){}}L.nrDev&&H.ee.on("internal-error",(function(e){z(e.stack)})),L.dev&&H.ee.on("fn-err",(function(e,t,r){z(r.stack)})),L.dev&&(z("NR AGENT IN DEVELOPMENT MODE"),z("flags: "+(0,b.D)(L,(function(e,t){return e})).join(", ")));var M=i(6660);class B extends h{static featureName=M.t;constructor(r,n){let i=!(arguments.length>2&&void 0!==arguments[2])||arguments[2];super(r,n,M.t,i),this.skipNext=0;try{this.removeOnAbort=new AbortController}catch(e){}const o=this;o.ee.on("fn-start",(function(e,t,r){o.abortHandler&&(o.skipNext+=1)})),o.ee.on("fn-err",(function(t,r,n){o.abortHandler&&!n[M.A]&&((0,I.X)(n,M.A,(function(){return!0})),this.thrown=!0,(0,s.p)("err",[n,(0,p.z)()],void 0,e.D.jserrors,o.ee))})),o.ee.on("fn-end",(function(){o.abortHandler&&!this.thrown&&o.skipNext>0&&(o.skipNext-=1)})),o.ee.on("internal-error",(function(t){(0,s.p)("ierr",[t,(0,p.z)(),!0],void 0,e.D.jserrors,o.ee)})),this.origOnerror=c._A.onerror,c._A.onerror=this.onerrorHandler.bind(this),c._A.addEventListener("unhandledrejection",(t=>{const r=function(e){let t="Unhandled Promise Rejection: ";if(e instanceof Error)try{return e.message=t+e.message,e}catch(t){return e}if(void 0===e)return new Error(t);try{return new Error(t+(0,D.P)(e))}catch(e){return new Error(t)}}(t.reason);(0,s.p)("err",[r,(0,p.z)(),!1,{unhandledPromiseRejection:1}],void 0,e.D.jserrors,this.ee)}),(0,O.m$)(!1,this.removeOnAbort?.signal)),(0,k.gy)(this.ee),(0,k.BV)(this.ee),(0,k.em)(this.ee),(0,t.OP)(r).xhrWrappable&&(0,k.Kf)(this.ee),this.abortHandler=this.#e,this.importAggregator()}#e(){this.removeOnAbort?.abort(),this.abortHandler=void 0}onerrorHandler(t,r,n,i,o){"function"==typeof this.origOnerror&&this.origOnerror(...arguments);try{this.skipNext?this.skipNext-=1:(0,s.p)("err",[o||new F(t,r,n),(0,p.z)()],void 0,e.D.jserrors,this.ee)}catch(t){try{(0,s.p)("ierr",[t,(0,p.z)(),!0],void 0,e.D.jserrors,this.ee)}catch(e){}}return!1}}function F(e,t,r){this.message=e||"Uncaught error with no additional information",this.sourceURL=t,this.line=r}let U=1;const q="nr@id";function G(e){const t=typeof e;return!e||"object"!==t&&"function"!==t?-1:e===c._A?0:(0,I.X)(e,q,(function(){return U++}))}function V(e){if("string"==typeof e&&e.length)return e.length;if("object"==typeof e){if("undefined"!=typeof ArrayBuffer&&e instanceof ArrayBuffer&&e.byteLength)return e.byteLength;if("undefined"!=typeof Blob&&e instanceof Blob&&e.size)return e.size;if(!("undefined"!=typeof FormData&&e instanceof FormData))try{return(0,D.P)(e).length}catch(e){return}}}var X=i(7243);class W{constructor(e){this.agentIdentifier=e,this.generateTracePayload=this.generateTracePayload.bind(this),this.shouldGenerateTrace=this.shouldGenerateTrace.bind(this)}generateTracePayload(e){if(!this.shouldGenerateTrace(e))return null;var r=(0,t.DL)(this.agentIdentifier);if(!r)return null;var n=(r.accountID||"").toString()||null,i=(r.agentID||"").toString()||null,o=(r.trustKey||"").toString()||null;if(!n||!i)return null;var a=(0,_.M)(),s=(0,_.Ht)(),c=Date.now(),u={spanId:a,traceId:s,timestamp:c};return(e.sameOrigin||this.isAllowedOrigin(e)&&this.useTraceContextHeadersForCors())&&(u.traceContextParentHeader=this.generateTraceContextParentHeader(a,s),u.traceContextStateHeader=this.generateTraceContextStateHeader(a,c,n,i,o)),(e.sameOrigin&&!this.excludeNewrelicHeader()||!e.sameOrigin&&this.isAllowedOrigin(e)&&this.useNewrelicHeaderForCors())&&(u.newrelicHeader=this.generateTraceHeader(a,s,c,n,i,o)),u}generateTraceContextParentHeader(e,t){return"00-"+t+"-"+e+"-01"}generateTraceContextStateHeader(e,t,r,n,i){return i+"@nr=0-1-"+r+"-"+n+"-"+e+"----"+t}generateTraceHeader(e,t,r,n,i,o){if(!("function"==typeof c._A?.btoa))return null;var a={v:[0,1],d:{ty:"Browser",ac:n,ap:i,id:e,tr:t,ti:r}};return o&&n!==o&&(a.d.tk=o),btoa((0,D.P)(a))}shouldGenerateTrace(e){return this.isDtEnabled()&&this.isAllowedOrigin(e)}isAllowedOrigin(e){var r=!1,n={};if((0,t.Mt)(this.agentIdentifier,"distributed_tracing")&&(n=(0,t.P_)(this.agentIdentifier).distributed_tracing),e.sameOrigin)r=!0;else if(n.allowed_origins instanceof Array)for(var i=0;i 2&&void 0!==arguments[2])||arguments[2];super(r,n,Z.t,i),(0,t.OP)(r).xhrWrappable&&(this.dt=new W(r),this.handler=(e,t,r,n)=>(0,s.p)(e,t,r,n,this.ee),(0,k.u5)(this.ee),(0,k.Kf)(this.ee),function(r,n,i,o){function a(e){var t=this;t.totalCbs=0,t.called=0,t.cbTime=0,t.end=E,t.ended=!1,t.xhrGuids={},t.lastSize=null,t.loadCaptureCalled=!1,t.params=this.params||{},t.metrics=this.metrics||{},e.addEventListener("load",(function(r){_(t,e)}),(0,O.m$)(!1)),c.IF||e.addEventListener("progress",(function(e){t.lastSize=e.loaded}),(0,O.m$)(!1))}function s(e){this.params={method:e[0]},T(this,e[1]),this.metrics={}}function u(e,n){var i=(0,t.DL)(r);i.xpid&&this.sameOrigin&&n.setRequestHeader("X-NewRelic-ID",i.xpid);var a=o.generateTracePayload(this.parsedOrigin);if(a){var s=!1;a.newrelicHeader&&(n.setRequestHeader("newrelic",a.newrelicHeader),s=!0),a.traceContextParentHeader&&(n.setRequestHeader("traceparent",a.traceContextParentHeader),a.traceContextStateHeader&&n.setRequestHeader("tracestate",a.traceContextStateHeader),s=!0),s&&(this.dt=a)}}function d(e,t){var r=this.metrics,i=e[0],o=this;if(r&&i){var a=V(i);a&&(r.txSize=a)}this.startTime=(0,p.z)(),this.listener=function(e){try{"abort"!==e.type||o.loadCaptureCalled||(o.params.aborted=!0),("load"!==e.type||o.called===o.totalCbs&&(o.onloadCalled||"function"!=typeof t.onload)&&"function"==typeof o.end)&&o.end(t)}catch(e){try{n.emit("internal-error",[e])}catch(e){}}};for(var s=0;s 1?e[1]=i:e.push(i)}else e[0]&&e[0].headers&&s(e[0].headers,n)&&(this.dt=n);function s(e,t){var r=!1;return t.newrelicHeader&&(e.set("newrelic",t.newrelicHeader),r=!0),t.traceContextParentHeader&&(e.set("traceparent",t.traceContextParentHeader),t.traceContextStateHeader&&e.set("tracestate",t.traceContextStateHeader),r=!0),r}}function x(e,t){this.params={},this.metrics={},this.startTime=(0,p.z)(),this.dt=t,e.length>=1&&(this.target=e[0]),e.length>=2&&(this.opts=e[1]);var r,n=this.opts||{},i=this.target;"string"==typeof i?r=i:"object"==typeof i&&i instanceof Y?r=i.url:c._A?.URL&&"object"==typeof i&&i instanceof URL&&(r=i.href),T(this,r);var o=(""+(i&&i instanceof Y&&i.method||n.method||"GET")).toUpperCase();this.params.method=o,this.txSize=V(n.body)||0}function A(t,r){var n;this.endTime=(0,p.z)(),this.params||(this.params={}),this.params.status=r?r.status:0,"string"==typeof this.rxSize&&this.rxSize.length>0&&(n=+this.rxSize);var o={txSize:this.txSize,rxSize:n,duration:(0,p.z)()-this.startTime};i("xhr",[this.params,o,this.startTime,this.endTime,"fetch"],this,e.D.ajax)}function E(t){var r=this.params,n=this.metrics;if(!this.ended){this.ended=!0;for(var o=0;o 2&&void 0!==arguments[2])||arguments[2];super(e,t,we.t,r),this.importAggregator()}}new class{constructor(e){let t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:(0,_.ky)(16);c._A?(this.agentIdentifier=t,this.sharedAggregator=new y({agentIdentifier:this.agentIdentifier}),this.features={},this.desiredFeatures=new Set(e.features||[]),this.desiredFeatures.add(m),Object.assign(this,(0,a.j)(this.agentIdentifier,e,e.loaderType||"agent")),this.start()):(0,l.Z)("Failed to initial the agent. Could not determine the runtime environment.")}get config(){return{info:(0,t.C5)(this.agentIdentifier),init:(0,t.P_)(this.agentIdentifier),loader_config:(0,t.DL)(this.agentIdentifier),runtime:(0,t.OP)(this.agentIdentifier)}}start(){const t="features";try{const r=n(this.agentIdentifier),i=[...this.desiredFeatures];i.sort(((t,r)=>e.p[t.featureName]-e.p[r.featureName])),i.forEach((t=>{if(r[t.featureName]||t.featureName===e.D.pageViewEvent){const n=function(t){switch(t){case e.D.ajax:return[e.D.jserrors];case e.D.sessionTrace:return[e.D.ajax,e.D.pageViewEvent];case e.D.sessionReplay:return[e.D.sessionTrace];case e.D.pageViewTiming:return[e.D.pageViewEvent];default:return[]}}(t.featureName);n.every((e=>r[e]))||(0,l.Z)("".concat(t.featureName," is enabled but one or more dependent features has been disabled (").concat((0,D.P)(n),"). This may cause unintended consequences or missing data...")),this.features[t.featureName]=new t(this.agentIdentifier,this.sharedAggregator)}})),(0,T.Qy)(this.agentIdentifier,this.features,t)}catch(e){(0,l.Z)("Failed to initialize all enabled instrument classes (agent aborted) -",e);for(const e in this.features)this.features[e].abortHandler?.();const r=(0,T.fP)();return delete r.initializedAgents[this.agentIdentifier]?.api,delete r.initializedAgents[this.agentIdentifier]?.[t],delete this.sharedAggregator,r.ee?.abort(),delete r.ee?.get(this.agentIdentifier),!1}}}({features:[J,m,S,class extends h{static featureName=oe;constructor(t,r){if(super(t,r,oe,!(arguments.length>2&&void 0!==arguments[2])||arguments[2]),!c.il)return;const n=this.ee;let i;(0,k.QU)(n),this.eventsEE=(0,k.em)(n),this.eventsEE.on(se,(function(e,t){this.bstStart=(0,p.z)()})),this.eventsEE.on(ae,(function(t,r){(0,s.p)("bst",[t[0],r,this.bstStart,(0,p.z)()],void 0,e.D.sessionTrace,n)})),n.on(ce+ne,(function(e){this.time=(0,p.z)(),this.startPath=location.pathname+location.hash})),n.on(ce+ie,(function(t){(0,s.p)("bstHist",[location.pathname+location.hash,this.startPath,this.time],void 0,e.D.sessionTrace,n)}));try{i=new PerformanceObserver((t=>{const r=t.getEntries();(0,s.p)(te,[r],void 0,e.D.sessionTrace,n)})),i.observe({type:re,buffered:!0})}catch(e){}this.importAggregator({resourceObserver:i})}},C,xe,B,class extends h{static featureName=de;constructor(e,r){if(super(e,r,de,!(arguments.length>2&&void 0!==arguments[2])||arguments[2]),!c.il)return;if(!(0,t.OP)(e).xhrWrappable)return;try{this.removeOnAbort=new AbortController}catch(e){}let n,i=0;const o=this.ee.get("tracer"),a=(0,k._L)(this.ee),s=(0,k.Lg)(this.ee),u=(0,k.BV)(this.ee),d=(0,k.Kf)(this.ee),f=this.ee.get("events"),l=(0,k.u5)(this.ee),h=(0,k.QU)(this.ee),g=(0,k.Gm)(this.ee);function m(e,t){h.emit("newURL",[""+window.location,t])}function v(){i++,n=window.location.hash,this[ve]=(0,p.z)()}function b(){i--,window.location.hash!==n&&m(0,!0);var e=(0,p.z)();this[pe]=~~this[pe]+e-this[ve],this[ye]=e}function y(e,t){e.on(t,(function(){this[t]=(0,p.z)()}))}this.ee.on(ve,v),s.on(be,v),a.on(be,v),this.ee.on(ye,b),s.on(ge,b),a.on(ge,b),this.ee.buffer([ve,ye,"xhr-resolved"],this.featureName),f.buffer([ve],this.featureName),u.buffer(["setTimeout"+le,"clearTimeout"+fe,ve],this.featureName),d.buffer([ve,"new-xhr","send-xhr"+fe],this.featureName),l.buffer([me+fe,me+"-done",me+he+fe,me+he+le],this.featureName),h.buffer(["newURL"],this.featureName),g.buffer([ve],this.featureName),s.buffer(["propagate",be,ge,"executor-err","resolve"+fe],this.featureName),o.buffer([ve,"no-"+ve],this.featureName),a.buffer(["new-jsonp","cb-start","jsonp-error","jsonp-end"],this.featureName),y(l,me+fe),y(l,me+"-done"),y(a,"new-jsonp"),y(a,"jsonp-end"),y(a,"cb-start"),h.on("pushState-end",m),h.on("replaceState-end",m),window.addEventListener("hashchange",m,(0,O.m$)(!0,this.removeOnAbort?.signal)),window.addEventListener("load",m,(0,O.m$)(!0,this.removeOnAbort?.signal)),window.addEventListener("popstate",(function(){m(0,i>1)}),(0,O.m$)(!0,this.removeOnAbort?.signal)),this.abortHandler=this.#e,this.importAggregator()}#e(){this.removeOnAbort?.abort(),this.abortHandler=void 0}}],loaderType:"spa"})})(),window.NRBA=o})(); window.jQuery || document.write(' ') CKEDITOR_BASEPATH='https://f1000research.com/js/vendor/ckeditor/' window.reactTheme = 'research'; window.MathJax = { CommonHTML: { linebreaks: { automatic: true } }, 'HTML-CSS': { linebreaks: { automatic: true } }, SVG: { linebreaks: { automatic: true } }, AuthorInit: function() { MathJax.Hub.Register.MessageHook('End Process', function () { let timeout = false; // holder for timeout id const delay = 250; // delay after event is "complete" to run callback const reflowMath = function() { const dispFormulas = document.querySelectorAll('.disp-formula.panel'); if (!dispFormulas) { return; } for (const dispFormula of dispFormulas) { const child = dispFormula.querySelector('.MathJax_Preview').nextSibling.firstChild; const isMultiline = MathJax.Hub.getAllJax(dispFormula)[0].root.isMultiline; if (dispFormula.offsetWidth < child.offsetWidth || isMultiline) { MathJax.Hub.Queue(['Rerender', MathJax.Hub, dispFormula]); } } }; window.addEventListener('resize', function() { clearTimeout(timeout); // clear the timeout timeout = setTimeout(reflowMath, delay); // start timing for event "completion" }); }); }, }; if (window.location.hash == '#_=_'){ window.location = window.location.href.split('#')[0] } !function(f,b,e,v,n,t,s){if(f.fbq)return;n=f.fbq=function() {n.callMethod? n.callMethod.apply(n,arguments):n.queue.push(arguments)} ;if(!f._fbq)f._fbq=n; n.push=n;n.loaded=!0;n.version='2.0';n.queue=[];t=b.createElement(e);t.async=!0; t.src=v;s=b.getElementsByTagName(e)[0];s.parentNode.insertBefore(t,s)}(window, document,'script','https://connect.facebook.net/en_US/fbevents.js'); fbq('init', '1641728616063202'); fbq('track', "PixelInitialized", {}); (function(h,o,t,j,a,r){ h.hj=h.hj||function(){(h.hj.q=h.hj.q||[]).push(arguments)}; h._hjSettings={hjid:2318163,hjsv:6}; a=o.getElementsByTagName('head')[0]; r=o.createElement('script');r.async=1; r.src=t+h._hjSettings.hjid+j+h._hjSettings.hjsv; a.appendChild(r); })(window,document,'https://static.hotjar.com/c/hotjar-','.js?sv='); search file_upload Submit your research search menu close search Browse Gateways & Collections How to Publish Submit your Research My Submissions Article Guidelines Article Guidelines (New Versions) Open Data, Software and Code Guidelines Open Data and Accessible Source Materials Guidelines (HSS) Open Data, Software and Code Guidelines (PSE) Prepublication Checks Production Process Posters and Slides Guidelines Document Guidelines Article Processing Charges Peer Review Finding Article Reviewers About How it Works For Reviewers Our Advisors Policies Glossary FAQs For Developers Newsroom Contact My Research Submissions Content and Tracking Alerts My Details Sign In file_upload Submit your research { "@context": "https://schema.org", "@type": "ScholarlyArticle", "mainEntityOfPage": { "@type": "WebPage", "@id": "https://f1000research.com/articles/14-1050" }, "headline": "Assessing the Prognostic Value of Lung Ultrasound in Detecting Pulmonary Congestion in Acute Heart Failure...", "datePublished": "2025-10-07T14:49:55", "dateModified": "2025-10-07T14:49:55", "author": [ { "@type": "Person", "name": "Mariem Jabeur" }, { "@type": "Person", "name": "Selim Hammami" }, { "@type": "Person", "name": "Selma Charfeddine" }, { "@type": "Person", "name": "Amine Bahloul" }, { "@type": "Person", "name": "Hela Bouzidi" }, { "@type": "Person", "name": "Ihsen Zairi" }, { "@type": "Person", "name": "Sofiene Kammoun" }, { "@type": "Person", "name": "Rania Gargouri" }, { "@type": "Person", "name": "Sondes Kraiem" }, { "@type": "Person", "name": "Leila Abid" } ], "publisher": { "@type": "Organization", "name": "F1000Research", "logo": { "@type": "ImageObject", "url": "https://f1000research.com/img/AMP/F1000Research_image.png", "height": 480, "width": 60 } }, "image": { "@type": "ImageObject", "url": "https://f1000research.com/img/AMP/F1000Research_image.png", "height": 1200, "width": 150 }, "description": " Background Pulmonary congestion, as opposed to low cardiac output, is the predominant cause of hospitalizations for heart failure and is associated with elevated mortality rates. Persisting congestion symptoms at discharge and during outpatient follow-ups are critical predictors of adverse outcomes. Lung ultrasound (LUS) has emerged as a simple, non-invasive tool for assessing pulmonary congestion. Objectives This study aims to evaluate the prognostic significance of pulmonary congestion detected via LUS in predicting short-term adverse events in patients hospitalized for acute heart failure (AHF). Methods We conducted a bi-centric prospective observational study involving consecutive patients admitted for AHF at two hospitals in Tunisia. Each participant underwent a thorough clinical assessment, biological evaluation, chest X-ray, LUS, and echocardiography. LUS operators were blinded to clinical data and examined eight thoracic zones. The primary outcomes included a composite of urgent care visits, rehospitalization due to acute heart failure decompensation, or cardiac death within a six-month follow-up. Results A total of 116 patients (median age: 69 years; 53% male; mean ejection fraction: 40%) were included. At discharge, the mean number of B-lines observed was 6.6 ± 3.3. During the follow-up period, we recorded 72 adverse events, with 52 patients experiencing severe heart failure symptoms requiring hospitalization and 20 dying from cardiac causes. Multivariate analysis indicated that the presence of ≥3 B-lines bilaterally significantly predicted the combined endpoint of rehospitalization or cardiac death at the six-month mark (HR: 11.024; 95% CI: 5.542-21.926; P < 0.001). Additionally, the number of B-lines decreased from 31.9 ± 12.7 upon admission to 6.6 ± 3.1 at discharge (P < 0.001). Conclusions The application of an 8-zone LUS protocol is effective in assessing the severity and monitoring the resolution of pulmonary congestion in heart failure patients. Persistent pulmonary congestion at discharge, as evaluated by LUS, correlates with a poorer prognosis. " } { "@context": "http://schema.org", "@type": "BreadcrumbList", "itemListElement": [ { "@type": "ListItem", "position": "1", "item": { "@id": "https://f1000research.com/", "name": "Home" } }, { "@type": "ListItem", "position": "2", "item": { "@id": "https://f1000research.com/browse/articles", "name": "Browse" } }, { "@type": "ListItem", "position": "3", "item": { "@id": "https://f1000research.com/articles/14-1050", "name": "Assessing the Prognostic Value of Lung Ultrasound in Detecting Pulmonary..." } } ] } Home Browse Assessing the Prognostic Value of Lung Ultrasound in Detecting Pulmonary... ALL Metrics - Views Downloads Get PDF Get XML Cite How to cite this article Jabeur M, Hammami S, Charfeddine S et al. Assessing the Prognostic Value of Lung Ultrasound in Detecting Pulmonary Congestion in Acute Heart Failure Patients [version 1; peer review: 1 approved, 2 not approved] . F1000Research 2025, 14 :1050 ( https://doi.org/10.12688/f1000research.167897.1 ) NOTE: If applicable, it is important to ensure the information in square brackets after the title is included in all citations of this article. Close Copy Citation Details Export Export Citation Sciwheel EndNote Ref. Manager Bibtex ProCite Sente EXPORT Select a format first Track Share ▬ ✚ Research Article Assessing the Prognostic Value of Lung Ultrasound in Detecting Pulmonary Congestion in Acute Heart Failure Patients [version 1; peer review: 1 approved, 2 not approved] Mariem Jabeur https://orcid.org/0009-0005-4522-1426 1 , Selim Hammami https://orcid.org/0009-0006-7833-1602 1 , Selma Charfeddine 1 , [...] Amine Bahloul 1 , Hela Bouzidi https://orcid.org/0009-0001-9427-6096 2 , Ihsen Zairi 2 , Sofiene Kammoun 2 , Rania Gargouri https://orcid.org/0000-0002-0550-5898 1 , Sondes Kraiem 2 , Leila Abid 1 Mariem Jabeur https://orcid.org/0009-0005-4522-1426 1 , Selim Hammami https://orcid.org/0009-0006-7833-1602 1 , [...] Selma Charfeddine 1 , Amine Bahloul 1 , Hela Bouzidi https://orcid.org/0009-0001-9427-6096 2 , Ihsen Zairi 2 , Sofiene Kammoun 2 , Rania Gargouri https://orcid.org/0000-0002-0550-5898 1 , Sondes Kraiem 2 , Leila Abid 1 PUBLISHED 07 Oct 2025 Author details Author details 1 Cardiology, Hedi Chaker University Hospital, Sfax, Sfax, Tunisia 2 Cardiology, Habib Thameur Hospital, Tunis, Tunis, Tunisia Mariem Jabeur Roles: Conceptualization, Formal Analysis, Methodology, Supervision Selim Hammami Roles: Data Curation, Formal Analysis, Funding Acquisition, Writing – Original Draft Preparation Selma Charfeddine Roles: Investigation Amine Bahloul Roles: Investigation Hela Bouzidi Roles: Data Curation, Investigation, Supervision Ihsen Zairi Roles: Investigation Sofiene Kammoun Roles: Investigation Rania Gargouri Roles: Investigation Sondes Kraiem Roles: Supervision, Validation Leila Abid Roles: Supervision, Validation OPEN PEER REVIEW DETAILS REVIEWER STATUS Abstract Background Pulmonary congestion, as opposed to low cardiac output, is the predominant cause of hospitalizations for heart failure and is associated with elevated mortality rates. Persisting congestion symptoms at discharge and during outpatient follow-ups are critical predictors of adverse outcomes. Lung ultrasound (LUS) has emerged as a simple, non-invasive tool for assessing pulmonary congestion. Objectives This study aims to evaluate the prognostic significance of pulmonary congestion detected via LUS in predicting short-term adverse events in patients hospitalized for acute heart failure (AHF). Methods We conducted a bi-centric prospective observational study involving consecutive patients admitted for AHF at two hospitals in Tunisia. Each participant underwent a thorough clinical assessment, biological evaluation, chest X-ray, LUS, and echocardiography. LUS operators were blinded to clinical data and examined eight thoracic zones. The primary outcomes included a composite of urgent care visits, rehospitalization due to acute heart failure decompensation, or cardiac death within a six-month follow-up. Results A total of 116 patients (median age: 69 years; 53% male; mean ejection fraction: 40%) were included. At discharge, the mean number of B-lines observed was 6.6 ± 3.3. During the follow-up period, we recorded 72 adverse events, with 52 patients experiencing severe heart failure symptoms requiring hospitalization and 20 dying from cardiac causes. Multivariate analysis indicated that the presence of ≥3 B-lines bilaterally significantly predicted the combined endpoint of rehospitalization or cardiac death at the six-month mark (HR: 11.024; 95% CI: 5.542-21.926; P < 0.001). Additionally, the number of B-lines decreased from 31.9 ± 12.7 upon admission to 6.6 ± 3.1 at discharge (P < 0.001). Conclusions The application of an 8-zone LUS protocol is effective in assessing the severity and monitoring the resolution of pulmonary congestion in heart failure patients. Persistent pulmonary congestion at discharge, as evaluated by LUS, correlates with a poorer prognosis. READ ALL READ LESS Keywords Acute heart failure, lung ultrasound, prognosis Corresponding Author(s) Mariem Jabeur ( [email protected] ) Close Corresponding author: Mariem Jabeur Competing interests: No competing interests were disclosed. Grant information: The author(s) declared that no grants were involved in supporting this work. Copyright: © 2025 Jabeur M et al . This is an open access article distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. How to cite: Jabeur M, Hammami S, Charfeddine S et al. Assessing the Prognostic Value of Lung Ultrasound in Detecting Pulmonary Congestion in Acute Heart Failure Patients [version 1; peer review: 1 approved, 2 not approved] . F1000Research 2025, 14 :1050 ( https://doi.org/10.12688/f1000research.167897.1 ) First published: 07 Oct 2025, 14 :1050 ( https://doi.org/10.12688/f1000research.167897.1 ) Latest published: 07 Oct 2025, 14 :1050 ( https://doi.org/10.12688/f1000research.167897.1 ) Introduction Heart failure (HF) is a prevalent and serious condition, characterized by the heart’s inability to pump effectively, leading to significant morbidity and mortality. Hospitalizations due to acute heart failure (AHF) have risen dramatically, with pulmonary congestion emerging as a predominant factor contributing to these admissions. Unlike low cardiac output, clinical congestion, manifested by symptoms such as dyspnea and edema, serves as the most frequent cause of hospitalization for heart failure and is a strong predictor of adverse outcomes, including increased mortality. 1 , 2 Despite advancements in the management of heart failure, patients often experience residual congestion at the time of discharge, which is not adequately addressed by conventional diagnostic methods. Traditional assessments such as clinical evaluations and chest X-rays have limitations in sensitivity and specificity for detecting elevated cardiac filling pressures. 3 Moreover, other biomarkers, like natriuretic peptides, can be influenced by various factors unrelated to cardiac dysfunction—such as renal function and body mass index—while patients are often on stable diuretic regimens. 4 Lung ultrasound (LUS) has emerged as a promising, non-invasive, and semi-quantitative tool for evaluating pulmonary congestion. This technique involves detecting vertical echogenic lines known as B-lines, which represent extravascular lung water and signify pulmonary congestion. Recent studies have suggested that the quantity of B-lines correlates with patient outcomes, identifying those at higher risk for adverse events after discharge. 5 , 6 The objective of this study is to assess the prognostic significance of pulmonary congestion as assessed by LUS in patients hospitalized for AHF. Specifically, we aim to evaluate how the presence of B-lines at the time of discharge correlates with short-term outcomes, including rehospitalization and cardiac mortality. Furthermore, we will describe the dynamic changes in LUS findings throughout the patient’s hospital stay. Through this investigation, we aim to establish LUS as an integral aspect of routine clinical evaluation in heart failure management, ultimately improving patient stratification and outcomes. Patients and methods Study design: This bi-centric prospective observational study was conducted at the Cardiology Departments of Hedi Chaker Hospital in Sfax and Habib Thameur Hospital in Tunis from July 1, 2022, to September 30, 2023. The study aimed to evaluate the prevalence and prognostic importance of pulmonary congestion assessed by lung ultrasound (LUS) in patients hospitalized for acute heart failure (AHF). Study population: We enrolled consecutive adult patients (≥18 years) admitted for AHF, regardless of the etiology and systolic function. All patients were required to meet the European Society of Cardiology criteria for heart failure diagnosis. Patients were excluded based on the following criteria: age 40, history of pneumothorax, lobectomy, or lung cancer, severe interstitial lung disease preventing adequate ultrasonography interpretation, and refusal to consent. Assessment methods: Upon hospital admission, each patient underwent a comprehensive evaluation, which included: 1. Clinical Examination: A detailed clinical assessment was performed to document symptoms, signs, and medical history. 2. Biological Evaluation: Blood tests were conducted to assess renal function, electrolytes, hemoglobin, and natriuretic peptides (NT-proBNP). 3. Chest X-ray: Standard chest imaging was performed to identify pulmonary congestion and other cardiopulmonary conditions. 4. Lung Ultrasound (LUS): LUS was performed within 2 hours of admission using an ultrasound device: • General Electric 6S-D sector array probe with a frequency range of 3 to 8 MHz at Hedi Chaker Hospital. • Sonosite M-Turbo 2D Echo sector array probe with a frequency of 7.5 MHz at Habib Thameur Hospital. Acute interstitial pulmonary syndrome was defined, according to the International Consensus Conference on LUS, by the presence of two or more positive regions in each hemithorax. 7 A positive region was defined by the presence of three or more B-lines in transverse intercostal plane. 8 , 9 The examination involved assessment of eight distinct thoracic zones to identify B-lines—vertical, echogenic lines extending from the pleura, indicative of pulmonary congestion. Operators performing LUS were blinded to the patients’ clinical data to prevent bias. 5. Echocardiography: Transthoracic echocardiography was conducted, as recommended by the American Society of Echocardiography. 10 , 11 To evaluate cardiac structure and function, including ejection fraction and other relevant parameters. Data analysis: Following discharge, patients were closely monitored for 180 days to document the occurrence of adverse outcomes, defined as a composite of urgent care visits, rehospitalization due to acute decompensation of heart failure, or cardiac death. Continuous variables were analyzed using appropriate statistical tests (e.g., Student’s t-test for normally distributed data and Mann-Whitney U test for non-normally distributed data). Categorical variables were evaluated using the Chi-squared test or Fisher’s exact test where applicable. Prognostic factors were assessed using univariate and multivariate Cox regression analyses to derive hazard ratios (HR) and confidence intervals (CI). Event-free survival was calculated using Kaplan-Meier curves, with differences between groups assessed using the log-rank test. A significance level of p < 0.05 was established. Ethics approval The study was approved by the Habib Thameur Hospital Ethics committee, Habib Thameur Teaching Hospital, Tunis, Tunisia, under approval/reference number HTHEC-2023-11. Results Study population: A total of 116 patients were included in the analysis, with a median age of 69 years (interquartile range: 62-75), and 62 patients (53%) were male. The mean left ventricular ejection fraction (LVEF) was 40% ± 10%. Patient demographics and clinical characteristics at baseline are summarized in Table I . Table I. Patient mean characteristics. All ( n = 116) B-Lines ≥3 N = 61 (52.6%) B-Lines <3 N = 55 (47.4%) P value Age (years) 68.99+/- 12.06 71.49 +/-10 66.15 +/-13.5 0.019 Male 62(53.4%) 31(50.8%) 31(56.4%) 0.580 Age CRF 101(87,1%) 57(93,4%) 44(80%) 0.029 Diabetes mellitus 48 (41.4%) 25(41%) 23(41.8%) 1 Dyslipidemia 47 (40.5%) 28(45.9%) 19(34.5%) 0.257 Hypertension 68(58.6%) 33(54.1%) 35(63.6%) 0.347 Smoking 27(23.3%) 14(23%) 13(23.6%) 1 CAD 28(24.1%) 14(23%) 14(25.5%) 0.829 HF 55(47.4%) 36(59%) 19(34.5%) 0.010 Arrhythmia 53(45.7%) 31(50.8%) 21(38.2%) 0.184 VHD 41(35.3%) 29(47.5%) 12(21.8%) 0.006 CRF 31(26.7%) 23(37.7%) 8(14.5%) 0.006 Baseline characteristics: Of the enrolled patients, key clinical characteristics included a history of hypertension in 67 patients (57.8%), diabetes in 45 patients (38.8%), and chronic kidney disease in 32 patients (27.6%). The mean plasma NT-proBNP level at admission was 1500 pg/mL (range: 500-4500 pg/mL). Table II presents a detailed overview of these clinical characteristics. Table II. Comparison of clinical parameters between the two groups. All ( n = 116) B-Lines ≥3 N = 61 (52.6%) B-Lines <3 N = 55 (47.4%) P value SBP (mmHg) 131.17+/-28.9 130.05+/-27.38 132.3+/-30.7 0.668 DBP (mmHg) 75.03+/-14.7 74.2 +/- 14.8 75.9+/-14.6 0.532 HR (per min) 91.98+/-25.65 90.5+/- 23 93.6+/-28 0.520 SpO2 (%) 92.68+/-5.1 92.4+/-5.2 92.8+/-5.18 0.690 RR (per min) 23.56 +/- 5.61 24.19+/-5.8 22.8+/-5.3 0.690 Lung ultrasound findings: At the time of discharge, the mean number of B-lines detected was 6.6 ± 3.3. Notably, during the hospital stay, the number of B-lines significantly decreased from a mean of 31.9 ± 12.7 upon admission to 6.6 ± 3.1 at discharge (p < 0.001). This decline demonstrates effective pulmonary decongestion among patients during their hospitalization. The distribution of B-lines was assessed bilaterally across the eight zones, with ≥3 B-lines recorded in 45 patients (38.8%) at discharge. Adverse clinical outcomes: During a mean follow-up period of six months, a total of 72 adverse events were documented. These included: • 52 patients (44.8%) were readmitted due to severe heart failure symptoms. • 20 patients (17.2%) experienced cardiac-related mortality. In-hospital mortality was recorded at 4.3%. The follow-up events for heart failure hospitalization or death were significantly associated with the number of B-lines detected at discharge. Statistical analysis of outcomes: Multivariate Cox regression analysis identified that the presence of ≥3 B-lines bilaterally at discharge was a strong predictor of adverse clinical outcomes, with a hazard ratio (HR) of 11.024 (95% CI: 5.542-21.926, p < 0.001) ( Table III ). • Patients with ≥3 B-lines had a significantly higher composite endpoint rate of rehospitalization or cardiac death compared to those with <3 B-lines (p < 0.001). • Event-free survival analysis showed that patients categorized with <3 B-lines exhibited a 76.4% event-free survival rate at six months (adjusted p < 0.001), whereas those with ≥3 B-lines had notably poorer outcomes. Table III. Predictors for combined endpoint of heart failure hospitalization or decompensation or cardiac death at 180-day follow-up by multivariable Cox regression analysis. Combined Endpoint HR 95% CI P value Positive Zone Bilaterally >=1 at discharge 11.024 5.542-21.926 0.000 Diuretics 0.424 0.227-0.791 0.007 Heart Failure 1.589 0.981-2.573 0.060 Natremia = 45 mmHg 2.049 0.596-7.042 0.255 Age CRF 0.565 0.204-1.561 0.271 Blines at discharge 1.034 0.806-1.328 0.790 Kaplan-Meier survival curves : Figure 1 illustrates the Kaplan-Meier event-free survival curves. The differences in survival between patients with ≥3 B-lines versus <3 B-lines were statistically significant (log-rank test, p < 0.001), further reinforcing the prognostic importance of LUS findings in this cohort. Figure 1. Event-free survival curves for both death and HF hospitalization regarding the number of B-lines. Summary of key findings • Patient Cohort: 116 patients, median age 69 years. • B-lines: Mean of 6.6 ± 3.3 at discharge; significant decrease from 31.9 ± 12.7 at admission (p < 0.001). • Adverse Events: 72 events; 52 readmissions (44.8%) and 20 cardiac deaths (17.2%). • Predictive Value of B-lines: ≥3 B-lines at discharge associated with higher risk of adverse outcomes (HR 11.024, p < 0.001). • Event-Free Survival: 76.4% in <3 B-lines group at six months. Discussion Previous studies have demonstrated the value of LUS as a diagnostic tool for acute heart failure (AHF). LUS showed a sensitivity of 94.2% and specificity of 77.5% for diagnosing AHF. 12 This study aimed to assess the prognostic significance of pulmonary congestion evaluated by lung ultrasound (LUS) in patients hospitalized for acute heart failure (HF). Our findings provide compelling evidence that residual pulmonary congestion, quantified through the number of B-lines at discharge, serves as a crucial predictor of adverse short-term outcomes, including rehospitalization and cardiac mortality. Prognostic significance of B-Lines: The multivariate analysis revealed that having ≥3 B-lines bilaterally at discharge is an independent predictor for the combined endpoint of heart failure hospitalization or cardiac death at the 180-day follow-up, with a hazard ratio of 11.024 (95% CI 5.542-21.926, P < 0.001). This finding corroborates earlier studies which have illustrated that persistent pulmonary congestion correlates with significantly higher risks of rehospitalization and mortality, underscoring the importance of monitoring B-lines as an integral part of patient assessment. 1 , 2 , 13 – 15 The identification of this threshold within our study supports the clinical utility of LUS as a non-invasive and effective method for risk stratification. Dynamic monitoring of lung congestion: Furthermore, the significant decrease in the number of B-lines from admission (31.9 ± 12.7) to discharge (6.6 ± 3.3, P < 0.001) illustrates the effective therapeutic interventions aimed at alleviating congestion. This dynamic monitoring capability of LUS not only enhances clinicians’ understanding of fluid status but also allows for timely adjustments in treatment strategies. 16 , 17 The potential to visualize and quantify the resolution of pulmonary congestion can significantly refine patient management, promoting better clinical outcomes in the follow-up phase. Of note, data on the concomitant decline of B-line counts and natriuretic peptides are conflicting. 18 – 20 Natriuretic peptide clearance in an acute setting appears to exhibit slower kinetics when compared with B-line variations to therapy, especially in the presence of renal failure. Divergent results have also been reported for E/e’, 18 , 19 although definitive conclusions cannot be drawn given the small size of these studies. Event-free survival correlation: Our study further indicates that patients with <3 B-lines at discharge exhibit a markedly improved event-free survival rate of 76.4% over six months. This finding suggests that LUS may be instrumental in identifying low-risk patients, enabling medical teams to tailor follow-up and preventive strategies more effectively. The integration of LUS into routine assessment alongside traditional clinical indicators can enhance the overall management of heart failure. Multidimensional approach to management: Complementing LUS with traditional assessments and biomarkers, such as natriuretic peptides, represents a significant advancement in the multidimensional management of heart failure. Although NT-proBNP is valuable, its levels can be influenced by various factors unrelated to cardiac function. 1 In contrast, LUS provides a direct evaluation of pulmonary congestion, thereby offering a more reliable prognostic tool. 4 Longitudinal studies and theoretical framework: Longitudinal studies have shown that the presence of pulmonary congestion, as indicated by B-lines, remains a stronger predictor of adverse outcomes than other biomarkers measured at discharge. Volpicelli et al. 20 documented a correlation between B-line clearance and symptomatic relief, demonstrating that rapid resolution of pulmonary edema could significantly improve clinical outcomes. This relationship underscores the importance of LUS not only in initial assessments but also in monitoring treatment efficacy over time. Limitations and areas for future research: However, this study does have limitations. The lack of routine NT-proBNP assessments at discharge restricts our ability to correlate these findings with changes in neurohormonal status, an important facet of heart failure management. Moreover, while our study focuses on a diverse patient population representative of real-world clinical settings, this diversity could contribute to variability in the prognostic implications of the B-line count. Future studies should aim to validate the prognostic value of LUS in larger, homogenous cohorts, and explore long-term outcomes associated with persistent pulmonary congestion. Additionally, the relative short follow-up duration may limit our understanding of the full impact of persistent pulmonary congestion on long-term outcomes. Extending follow-up periods in future studies could yield insights into the chronic implications of post-discharge congestion assessments. In summary, our research emphasizes the critical role of LUS in the management of acute heart failure, showcasing its potential to improve patient outcomes through effective monitoring and intervention. By integrating LUS into routine clinical practice, healthcare providers can better identify high-risk patients, facilitate timely treatment adjustments, and ultimately enhance the overall care provided to individuals suffering from heart failure. Conclusion In conclusion, this study demonstrates that lung ultrasound (LUS) is a valuable, non-invasive tool for assessing pulmonary congestion in patients with acute heart failure (HF). The quantification of B-lines, particularly at discharge, has shown to be a significant predictor of adverse outcomes, such as rehospitalization and cardiac mortality, within a six-month follow-up period. Specifically, the identification of three or more B-lines serves as a critical indicator of patients at heightened risk for exacerbations, reinforcing the necessity for enhanced monitoring and targeted interventions. Patient consent Informed consent was obtained in writing from all participants prior to their inclusion in the study Data availability statement All datasets generated and analyzed during the current study are available in the Zenodo repository Zenodo. Assessing the Prognostic Value of Lung Ultrasound in Detecting Pulmonary Congestion in Acute Heart Failure Patients . 21 This project contains the following underlying data: • Data.docx Data are available under the terms of the Creative Commons Attribution 4.0 International license (CC-BY 4.0). The dataset can be accessed at: https://doi.org/10.5281/zenodo.17113545 . 21 References 1. Coiro S, Rossignol P, Ambrosio G, et al. : Prognostic value of residual pulmonary congestion at discharge assessed by lung ultrasound imaging in heart failure. Eur. J. Heart Fail. 2015; 17 (11): 1172–1181. PubMed Abstract | Publisher Full Text 2. Gargani L, Pang PS, Frassi F, et al. : Persistent pulmonary congestion before discharge predicts rehospitalization in heart failure: A lung ultrasound study. Cardiovasc. Ultrasound. 2015; 13 (1): 40. PubMed Abstract | Publisher Full Text | Free Full Text 3. Wang CS, FitzGerald JM, Schulzer M, et al. : Does this dyspneic patient in the emergency department have congestive heart failure? JAMA. 2005; 294 (15): 1944–1956. PubMed Abstract 4. Logeart D, Thabut G, Jourdain P, et al. : Predischarge B-type natriuretic peptide assay for identifying patients at high risk of re-admission after decompensated heart failure. J. Am. Coll. Cardiol. 2004; 43 (4): 635–641. PubMed Abstract | Publisher Full Text 5. Lichtenstein D, Mézière G, Biderman P, et al. : The comet-tail artifact: An ultrasound sign of alveolar-interstitial syndrome. Am. J. Respir. Crit. Care Med. 1997; 156 (5): 1640–1646. Publisher Full Text 6. Picano E, Gargani L: Ultrasound lung comets: The shape of lung water. Eur. J. Heart Fail. 2012; 14 : 1194–1196. PubMed Abstract | Publisher Full Text 7. Volpicelli G, Elbarbary M, Blaivas M, et al. : International evidence-based recommendations for point-of-care lung ultrasound. Intensive Care Med. 2012; 38 : 577–591. PubMed Abstract | Publisher Full Text 8. Picano E, Frassi F, Agricola E, et al. : Ultrasound lung comets: A clinically useful sign of extravascular lung water. J. Am. Soc. Echocardiogr. 2006; 19 : 356–363. PubMed Abstract 9. Soldati G, Copetti R, Sher S: Sonographic interstitial syndrome the sound of lung water. J. Ultrasound Med. 2009; 28 (2): 163–174. Publisher Full Text 10. Lang RM, Badano LP, Mor-Avi V, et al. : Recommendations for cardiac chamber quantification by echocardiography in adults: An update from the American society of echocardiography and the European association of cardiovascular imaging. Eur. Heart J. Cardiovasc. Imaging. 2015; 16 (3): 233–271. PubMed Abstract | Publisher Full Text 11. Lancellotti P, Galderisi M, Edvardsen T, et al. : Echo-Doppler estimation of left ventricular filling pressure: Results of themulticentre EACVI Euro-Filling study. Eur. Heart J. Cardiovasc. Imaging. 2017; 18 (9): 961–968. PubMed Abstract | Publisher Full Text 12. Bouzidi H, et al. : ROLE OF PULMONARY ULTRASONOGRAPHY IN DIAGNOSIS OFACUTE HEART FAILURE. Curr. Probl. Cardiol. Oct. 01, 2024; 50 : p. 102910. Elsevier BV. PubMed Abstract | Publisher Full Text 13. Palazzuoli A, Ruocco G, Beltrami M, et al. : Combined use of lung ultrasound, B-type natriuretic peptide, and echocardiography for outcome prediction in patients with acute HFrEF and HFpEF. Clin. Res. Cardiol. 2018; 107 (7): 586–596. PubMed Abstract | Publisher Full Text 14. Platz E, Campbell RT, Claggett B, et al. : Lung Ultrasound in Acute Heart Failure: Prevalence of Pulmonary Congestion and Short- and Long-Term Outcomes. JACC Hear Fail. 2019; 7 (10). 15. Volpicelli G, Mussa A, Garofalo G, et al. : Bedside lung ultrasound in the assessment of alveolar-interstitial syndrome. Am. J. Emerg. Med. 2006; 24 (6): 689–696. PubMed Abstract | Publisher Full Text 16. Gargani L, Frassi F, Soldati G, et al. : Ultrasound lung comets for the differential diagnosis of acute cardiogenic dyspnoea: A comparison with natriuretic peptides. Eur. J. Heart Fail. 2008; 10 (1): 70–77. PubMed Abstract | Publisher Full Text 17. Frassi F, Gargani L, Gligorova S, et al. : Clinical and echocardiographic determinants of ultrasound lung comets. Eur. J. Echocardiogr. 2007; 8 (6): 474–479. PubMed Abstract | Publisher Full Text 18. Facchini C, Malfatto G, Giglio A, et al. : Lung ultrasound and transthoracic impedance for noninvasive evaluation of pulmonary congestion in heart failure. J. Cardiovasc. Med. 2016; 17 (7): 510–517. PubMed Abstract | Publisher Full Text 19. Öhman J, Harjola VP, Karjalainen P, et al. : Assessment of early treatment response by rapid cardiothoracic ultrasound in acute heart failure: Cardiac filling pressures, pulmonary congestion and mortality. Eur Hear journal Acute Cardiovasc care. 2018; 7 (4): 311–320. Publisher Full Text 20. Volpicelli G, Caramello V, Cardinale L, et al. : Bedside ultrasound of the lung for the monitoring of acute decompensated heart failure. Am. J. Emerg. Med. 2008; 26 (5): 585–591. Publisher Full Text 21. Jabeur M: Assessing the Prognostic Value of Lung Ultrasound in Detecting Pulmonary Congestion in Acute Heart Failure Patients. Zenodo. 5 septembre 2025. Publisher Full Text Comments on this article Comments (0) Version 1 VERSION 1 PUBLISHED 07 Oct 2025 ADD YOUR COMMENT Comment Author details Author details 1 Cardiology, Hedi Chaker University Hospital, Sfax, Sfax, Tunisia 2 Cardiology, Habib Thameur Hospital, Tunis, Tunis, Tunisia Mariem Jabeur Roles: Conceptualization, Formal Analysis, Methodology, Supervision Selim Hammami Roles: Data Curation, Formal Analysis, Funding Acquisition, Writing – Original Draft Preparation Selma Charfeddine Roles: Investigation Amine Bahloul Roles: Investigation Hela Bouzidi Roles: Data Curation, Investigation, Supervision Ihsen Zairi Roles: Investigation Sofiene Kammoun Roles: Investigation Rania Gargouri Roles: Investigation Sondes Kraiem Roles: Supervision, Validation Leila Abid Roles: Supervision, Validation Competing interests No competing interests were disclosed. Grant information The author(s) declared that no grants were involved in supporting this work. Article Versions (1) version 1 Published: 07 Oct 2025, 14:1050 https://doi.org/10.12688/f1000research.167897.1 Copyright © 2025 Jabeur M et al . This is an open access article distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Download Export To Sciwheel Bibtex EndNote ProCite Ref. Manager (RIS) Sente metrics Views Downloads F1000Research - - PubMed Central info_outline Data from PMC are received and updated monthly. - - Citations open_in_new 0 open_in_new 0 open_in_new SEE MORE DETAILS CITE how to cite this article Jabeur M, Hammami S, Charfeddine S et al. Assessing the Prognostic Value of Lung Ultrasound in Detecting Pulmonary Congestion in Acute Heart Failure Patients [version 1; peer review: 1 approved, 2 not approved] . F1000Research 2025, 14 :1050 ( https://doi.org/10.12688/f1000research.167897.1 ) NOTE: If applicable, it is important to ensure the information in square brackets after the title is included in all citations of this article. COPY CITATION DETAILS track receive updates on this article Track an article to receive email alerts on any updates to this article. TRACK THIS ARTICLE Share Open Peer Review Current Reviewer Status: ? Key to Reviewer Statuses VIEW HIDE Approved The paper is scientifically sound in its current form and only minor, if any, improvements are suggested Approved with reservations A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit. Not approved Fundamental flaws in the paper seriously undermine the findings and conclusions Version 1 VERSION 1 PUBLISHED 07 Oct 2025 Views 0 Cite How to cite this report: Lubis AC. Reviewer Report For: Assessing the Prognostic Value of Lung Ultrasound in Detecting Pulmonary Congestion in Acute Heart Failure Patients [version 1; peer review: 1 approved, 2 not approved] . F1000Research 2025, 14 :1050 ( https://doi.org/10.5256/f1000research.185042.r425319 ) The direct URL for this report is: https://f1000research.com/articles/14-1050/v1#referee-response-425319 NOTE: it is important to ensure the information in square brackets after the title is included in this citation. Close Copy Citation Details Reviewer Report 05 Jan 2026 Anggia Chairuddin Lubis , Universitas Sumatera Utara, Medan, Indonesia Not Approved VIEWS 0 https://doi.org/10.5256/f1000research.185042.r425319 Dear all authors, thank you for presenting an interesting 180-day cohort from two centers evaluating the prognostic role of lung ultrasound (LUS) in patients with acute heart failure, irrespective of the systolic function. The authors found that LUS is an ... Continue reading READ ALL Dear all authors, thank you for presenting an interesting 180-day cohort from two centers evaluating the prognostic role of lung ultrasound (LUS) in patients with acute heart failure, irrespective of the systolic function. The authors found that LUS is an effective and simple tool for assessing pulmonary congestion severity, monitoring congestion resolution, and predicting a poorer prognosis. Moreover, several comments and questions were raised from this manuscript. Firstly, the terminology was not precise. The definitions of arrhythmia, valvular heart disease, chronic renal failure, and operator criteria were not mentioned. On the other hand, echocardiography was clearly mentioned; however, no result reflected the echocardiographic findings. Secondly, it would be helpful if the authors could provide the medication information patients received, as it is closely related to decongestion response and patients' prognosis. Thirdly, a significant reduction in B-lines was observed as a measure of decongestion effectiveness; however, substantial residual congestion remained. This underlines the need for better clarification of ≥ 3 B-lines threshold used in this cohort. Finally, this cohort limitation was a limited sample size and a short follow-up duration. The conclusion should also address that this finding was limited to a brief observation period. Best regards. Is the work clearly and accurately presented and does it cite the current literature? Yes Is the study design appropriate and is the work technically sound? Yes Are sufficient details of methods and analysis provided to allow replication by others? Partly If applicable, is the statistical analysis and its interpretation appropriate? Yes Are all the source data underlying the results available to ensure full reproducibility? Partly Are the conclusions drawn adequately supported by the results? Partly Competing Interests: No competing interests were disclosed. I confirm that I have read this submission and believe that I have an appropriate level of expertise to state that I do not consider it to be of an acceptable scientific standard, for reasons outlined above. Close READ LESS CITE CITE HOW TO CITE THIS REPORT Lubis AC. Reviewer Report For: Assessing the Prognostic Value of Lung Ultrasound in Detecting Pulmonary Congestion in Acute Heart Failure Patients [version 1; peer review: 1 approved, 2 not approved] . F1000Research 2025, 14 :1050 ( https://doi.org/10.5256/f1000research.185042.r425319 ) The direct URL for this report is: https://f1000research.com/articles/14-1050/v1#referee-response-425319 NOTE: it is important to ensure the information in square brackets after the title is included in all citations of this article. COPY CITATION DETAILS Report a concern Respond or Comment COMMENT ON THIS REPORT Views 0 Cite How to cite this report: Nugent K. Reviewer Report For: Assessing the Prognostic Value of Lung Ultrasound in Detecting Pulmonary Congestion in Acute Heart Failure Patients [version 1; peer review: 1 approved, 2 not approved] . F1000Research 2025, 14 :1050 ( https://doi.org/10.5256/f1000research.185042.r425318 ) The direct URL for this report is: https://f1000research.com/articles/14-1050/v1#referee-response-425318 NOTE: it is important to ensure the information in square brackets after the title is included in this citation. Close Copy Citation Details Reviewer Report 21 Nov 2025 Kenneth Nugent , Department of Internal Medicine, Texas Tech University Health Sciences Center, Lubbock, Texas, USA Approved VIEWS 0 https://doi.org/10.5256/f1000research.185042.r425318 Jabeur and co- authors have evaluated a cohort of patients hospitalized with acute heart failure to determine the value of lungs ultrasound in predicting prognosis. This study included 116 patients with a mean age of 69 and a mean ejection ... Continue reading READ ALL Jabeur and co- authors have evaluated a cohort of patients hospitalized with acute heart failure to determine the value of lungs ultrasound in predicting prognosis. This study included 116 patients with a mean age of 69 and a mean ejection fraction of 40%. The mean number of B-lines of 6.6±3.3 at discharge. During the follow-up. There were 72 adverse events with patients having increasing heart failure symptoms or dying from cardiac causes. Their analysis indicated that having 3 or more B-lines bilaterally predicted the combined end point of hospitalization or cardiac death at the 6-month mark. Consequently, this study would suggest that measuring the number of B-lines in patients during their hospitalization and at discharge can help with evaluation and help predict prognosis. In my view, these results are quite clear, and the manuscript is well-written. It might be useful if the authors included an example of an ultrasound with 3 or more B-lines so that the reader can understand what you are talking about better. Also, the authors might suggest the maximum number of B-lines present at discharge which is associated with better prognosis. Is the work clearly and accurately presented and does it cite the current literature? Yes Is the study design appropriate and is the work technically sound? Yes Are sufficient details of methods and analysis provided to allow replication by others? Yes If applicable, is the statistical analysis and its interpretation appropriate? Yes Are all the source data underlying the results available to ensure full reproducibility? Yes Are the conclusions drawn adequately supported by the results? Yes Competing Interests: No competing interests were disclosed. Reviewer Expertise: Pulmonary medicine and critical care I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard. Close READ LESS CITE CITE HOW TO CITE THIS REPORT Nugent K. Reviewer Report For: Assessing the Prognostic Value of Lung Ultrasound in Detecting Pulmonary Congestion in Acute Heart Failure Patients [version 1; peer review: 1 approved, 2 not approved] . F1000Research 2025, 14 :1050 ( https://doi.org/10.5256/f1000research.185042.r425318 ) The direct URL for this report is: https://f1000research.com/articles/14-1050/v1#referee-response-425318 NOTE: it is important to ensure the information in square brackets after the title is included in all citations of this article. COPY CITATION DETAILS Report a concern Respond or Comment COMMENT ON THIS REPORT Views 0 Cite How to cite this report: Salamanca J. Reviewer Report For: Assessing the Prognostic Value of Lung Ultrasound in Detecting Pulmonary Congestion in Acute Heart Failure Patients [version 1; peer review: 1 approved, 2 not approved] . F1000Research 2025, 14 :1050 ( https://doi.org/10.5256/f1000research.185042.r425313 ) The direct URL for this report is: https://f1000research.com/articles/14-1050/v1#referee-response-425313 NOTE: it is important to ensure the information in square brackets after the title is included in this citation. Close Copy Citation Details Reviewer Report 27 Oct 2025 Jorge Salamanca , Cardiology Department, Hospital Universitario de La Princesa. Instituto de Investigación Sanitaria Princesa (IIS-IP), Madrid, Spain Not Approved VIEWS 0 https://doi.org/10.5256/f1000research.185042.r425313 This prospective bi-centric observational study from Tunisia assessed the prognostic value of pulmonary congestion evaluated by lung ultrasound (LUS) in 116 patients hospitalized for acute heart failure (AHF). Using an eight-zone protocol, congestion was defined as ≥ 3 B-lines bilaterally ... Continue reading READ ALL This prospective bi-centric observational study from Tunisia assessed the prognostic value of pulmonary congestion evaluated by lung ultrasound (LUS) in 116 patients hospitalized for acute heart failure (AHF). Using an eight-zone protocol, congestion was defined as ≥ 3 B-lines bilaterally at discharge. Over a six-month follow-up, 72 adverse events occurred (52 readmissions and 20 cardiac deaths). Persistent congestion independently predicted the composite endpoint of HF rehospitalization or cardiac death (HR 11.0, 95 % CI 5.5–21.9, p < 0.001). The mean B-line count declined from 31.9 ± 12.7 at admission to 6.6 ± 3.3 at discharge (p < 0.001). The authors conclude that residual congestion detected by LUS at discharge identifies patients at higher short-term risk and supports its role as a simple, non-invasive prognostic tool. Major comments: -The topic is clinically relevant, but the study’s novelty is limited since the prognostic role of discharge LUS findings has already been demonstrated in multiple cohorts (PMID: 26417699, 31667987, 36769421). The authors should clarify what differentiates their dataset—such as regional characteristics, protocol standardization, or follow-up approach. -Please, include a patient-flow diagram summarizing inclusion and exclusion. -Clarify whether all patients had both admission and discharge LUS, and whether inter-observer reproducibility was assessed between centers. -Provide more detailed echocardiographic variables (E/e’, left atrial volume, pulmonary pressures, IVC diameter) to relate pulmonary and systemic congestion. -The chosen threshold of “≥ 3 B-lines bilaterally” requires justification. Current consensus statements (PMID: 31218825; 37450604) standardize the technique—using 6–8 scanning zones, clips ≥ 6 seconds per zone, and defining a positive zone as ≥ 3 B-lines. For pre-discharge risk stratification, these same documents indicate that ≥ 2 positive zones in an 8-zone protocol identify patients at higher short-term risk of adverse outcomes. -Please clarify how your protocol aligns with or diverges from these standardized recommendations, and justify why a binary criterion of “≥ 3 B-lines bilaterally” was selected instead of the zone-based approach endorsed by current international guidelines. -Consider ROC analysis to determine the optimal B-line threshold instead of fixed dichotomization. -Define clearly the components and adjudication of the composite endpoint. -Kaplan–Meier curves should include risk tables and p-values. -The discussion should move beyond confirming known associations to address mechanisms and practical implications (e.g., follow-up intensity, guided therapy). -Expand the discussion to explicitly contrast methodology, thresholds, and follow-up results with the main prior studies [Reference 1, Reference 2, Reference 3] to contextualize the findings. Minor comments: -Confirm whether both centers obtained separate ethics approvals. -Describe management of missing data. -Indicate operator training and inter-observer agreement (ICC or κ). -Ensure consistent terminology (“B-lines”, “HF”, “LUS”). Is the work clearly and accurately presented and does it cite the current literature? Partly Is the study design appropriate and is the work technically sound? Yes Are sufficient details of methods and analysis provided to allow replication by others? Yes If applicable, is the statistical analysis and its interpretation appropriate? Yes Are all the source data underlying the results available to ensure full reproducibility? Yes Are the conclusions drawn adequately supported by the results? Partly References 1. Coiro S, Rossignol P, Ambrosio G, Carluccio E, et al.: Prognostic value of residual pulmonary congestion at discharge assessed by lung ultrasound imaging in heart failure. European Journal of Heart Failure . 2015; 17 (11): 1172-1181 Publisher Full Text 2. Rivas‐Lasarte M, Álvarez‐García J, Fernández‐Martínez J, Maestro A, et al.: Lung ultrasound‐guided treatment in ambulatory patients with heart failure: a randomized controlled clinical trial (LUS‐HF study). European Journal of Heart Failure . 2019; 21 (12): 1605-1613 Publisher Full Text 3. Pugliese N, Mazzola M, Bandini G, Barbieri G, et al.: Prognostic Role of Sonographic Decongestion in Patients with Acute Heart Failure with Reduced and Preserved Ejection Fraction: A Multicentre Study. Journal of Clinical Medicine . 2023; 12 (3). Publisher Full Text Competing Interests: No competing interests were disclosed. Reviewer Expertise: Heart failure I confirm that I have read this submission and believe that I have an appropriate level of expertise to state that I do not consider it to be of an acceptable scientific standard, for reasons outlined above. Close READ LESS CITE CITE HOW TO CITE THIS REPORT Salamanca J. Reviewer Report For: Assessing the Prognostic Value of Lung Ultrasound in Detecting Pulmonary Congestion in Acute Heart Failure Patients [version 1; peer review: 1 approved, 2 not approved] . F1000Research 2025, 14 :1050 ( https://doi.org/10.5256/f1000research.185042.r425313 ) The direct URL for this report is: https://f1000research.com/articles/14-1050/v1#referee-response-425313 NOTE: it is important to ensure the information in square brackets after the title is included in all citations of this article. COPY CITATION DETAILS Report a concern Respond or Comment COMMENT ON THIS REPORT Comments on this article Comments (0) Version 1 VERSION 1 PUBLISHED 07 Oct 2025 ADD YOUR COMMENT Comment keyboard_arrow_left keyboard_arrow_right Open Peer Review Reviewer Status info_outline Alongside their report, reviewers assign a status to the article: Approved The paper is scientifically sound in its current form and only minor, if any, improvements are suggested Approved with reservations A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit. Not approved Fundamental flaws in the paper seriously undermine the findings and conclusions Reviewer Reports Invited Reviewers 1 2 3 Version 1 07 Oct 25 read read read Jorge Salamanca , Hospital Universitario de La Princesa. Instituto de Investigación Sanitaria Princesa (IIS-IP), Madrid, Spain Kenneth Nugent , Texas Tech University Health Sciences Center, Lubbock, USA Anggia Chairuddin Lubis , Universitas Sumatera Utara, Medan, Indonesia Comments on this article All Comments (0) Add a comment Sign up for content alerts Sign Up You are now signed up to receive this alert Browse by related subjects keyboard_arrow_left Back to all reports Reviewer Report 0 Views copyright © 2026 Lubis A. This is an open access peer review report distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 05 Jan 2026 | for Version 1 Anggia Chairuddin Lubis , Universitas Sumatera Utara, Medan, Indonesia 0 Views copyright © 2026 Lubis A. This is an open access peer review report distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. format_quote Cite this report speaker_notes Responses (0) Not Approved info_outline Alongside their report, reviewers assign a status to the article: Approved The paper is scientifically sound in its current form and only minor, if any, improvements are suggested Approved with reservations A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit. Not approved Fundamental flaws in the paper seriously undermine the findings and conclusions Dear all authors, thank you for presenting an interesting 180-day cohort from two centers evaluating the prognostic role of lung ultrasound (LUS) in patients with acute heart failure, irrespective of the systolic function. The authors found that LUS is an effective and simple tool for assessing pulmonary congestion severity, monitoring congestion resolution, and predicting a poorer prognosis. Moreover, several comments and questions were raised from this manuscript. Firstly, the terminology was not precise. The definitions of arrhythmia, valvular heart disease, chronic renal failure, and operator criteria were not mentioned. On the other hand, echocardiography was clearly mentioned; however, no result reflected the echocardiographic findings. Secondly, it would be helpful if the authors could provide the medication information patients received, as it is closely related to decongestion response and patients' prognosis. Thirdly, a significant reduction in B-lines was observed as a measure of decongestion effectiveness; however, substantial residual congestion remained. This underlines the need for better clarification of ≥ 3 B-lines threshold used in this cohort. Finally, this cohort limitation was a limited sample size and a short follow-up duration. The conclusion should also address that this finding was limited to a brief observation period. Best regards. Is the work clearly and accurately presented and does it cite the current literature? Yes Is the study design appropriate and is the work technically sound? Yes Are sufficient details of methods and analysis provided to allow replication by others? Partly If applicable, is the statistical analysis and its interpretation appropriate? Yes Are all the source data underlying the results available to ensure full reproducibility? Partly Are the conclusions drawn adequately supported by the results? Partly Competing Interests No competing interests were disclosed. I confirm that I have read this submission and believe that I have an appropriate level of expertise to state that I do not consider it to be of an acceptable scientific standard, for reasons outlined above. reply Respond to this report Responses (0) Lubis AC. Peer Review Report For: Assessing the Prognostic Value of Lung Ultrasound in Detecting Pulmonary Congestion in Acute Heart Failure Patients [version 1; peer review: 1 approved, 2 not approved] . F1000Research 2025, 14 :1050 ( https://doi.org/10.5256/f1000research.185042.r425319) NOTE: it is important to ensure the information in square brackets after the title is included in this citation. The direct URL for this report is: https://f1000research.com/articles/14-1050/v1#referee-response-425319 keyboard_arrow_left Back to all reports Reviewer Report 0 Views copyright © 2025 Nugent K. This is an open access peer review report distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 21 Nov 2025 | for Version 1 Kenneth Nugent , Department of Internal Medicine, Texas Tech University Health Sciences Center, Lubbock, Texas, USA 0 Views copyright © 2025 Nugent K. This is an open access peer review report distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. format_quote Cite this report speaker_notes Responses (0) Approved info_outline Alongside their report, reviewers assign a status to the article: Approved The paper is scientifically sound in its current form and only minor, if any, improvements are suggested Approved with reservations A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit. Not approved Fundamental flaws in the paper seriously undermine the findings and conclusions Jabeur and co- authors have evaluated a cohort of patients hospitalized with acute heart failure to determine the value of lungs ultrasound in predicting prognosis. This study included 116 patients with a mean age of 69 and a mean ejection fraction of 40%. The mean number of B-lines of 6.6±3.3 at discharge. During the follow-up. There were 72 adverse events with patients having increasing heart failure symptoms or dying from cardiac causes. Their analysis indicated that having 3 or more B-lines bilaterally predicted the combined end point of hospitalization or cardiac death at the 6-month mark. Consequently, this study would suggest that measuring the number of B-lines in patients during their hospitalization and at discharge can help with evaluation and help predict prognosis. In my view, these results are quite clear, and the manuscript is well-written. It might be useful if the authors included an example of an ultrasound with 3 or more B-lines so that the reader can understand what you are talking about better. Also, the authors might suggest the maximum number of B-lines present at discharge which is associated with better prognosis. Is the work clearly and accurately presented and does it cite the current literature? Yes Is the study design appropriate and is the work technically sound? Yes Are sufficient details of methods and analysis provided to allow replication by others? Yes If applicable, is the statistical analysis and its interpretation appropriate? Yes Are all the source data underlying the results available to ensure full reproducibility? Yes Are the conclusions drawn adequately supported by the results? Yes Competing Interests No competing interests were disclosed. Reviewer Expertise Pulmonary medicine and critical care I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard. reply Respond to this report Responses (0) Nugent K. Peer Review Report For: Assessing the Prognostic Value of Lung Ultrasound in Detecting Pulmonary Congestion in Acute Heart Failure Patients [version 1; peer review: 1 approved, 2 not approved] . F1000Research 2025, 14 :1050 ( https://doi.org/10.5256/f1000research.185042.r425318) NOTE: it is important to ensure the information in square brackets after the title is included in this citation. The direct URL for this report is: https://f1000research.com/articles/14-1050/v1#referee-response-425318 keyboard_arrow_left Back to all reports Reviewer Report 0 Views copyright © 2025 Salamanca J. This is an open access peer review report distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 27 Oct 2025 | for Version 1 Jorge Salamanca , Cardiology Department, Hospital Universitario de La Princesa. Instituto de Investigación Sanitaria Princesa (IIS-IP), Madrid, Spain 0 Views copyright © 2025 Salamanca J. This is an open access peer review report distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. format_quote Cite this report speaker_notes Responses (0) Not Approved info_outline Alongside their report, reviewers assign a status to the article: Approved The paper is scientifically sound in its current form and only minor, if any, improvements are suggested Approved with reservations A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit. Not approved Fundamental flaws in the paper seriously undermine the findings and conclusions This prospective bi-centric observational study from Tunisia assessed the prognostic value of pulmonary congestion evaluated by lung ultrasound (LUS) in 116 patients hospitalized for acute heart failure (AHF). Using an eight-zone protocol, congestion was defined as ≥ 3 B-lines bilaterally at discharge. Over a six-month follow-up, 72 adverse events occurred (52 readmissions and 20 cardiac deaths). Persistent congestion independently predicted the composite endpoint of HF rehospitalization or cardiac death (HR 11.0, 95 % CI 5.5–21.9, p < 0.001). The mean B-line count declined from 31.9 ± 12.7 at admission to 6.6 ± 3.3 at discharge (p < 0.001). The authors conclude that residual congestion detected by LUS at discharge identifies patients at higher short-term risk and supports its role as a simple, non-invasive prognostic tool. Major comments: -The topic is clinically relevant, but the study’s novelty is limited since the prognostic role of discharge LUS findings has already been demonstrated in multiple cohorts (PMID: 26417699, 31667987, 36769421). The authors should clarify what differentiates their dataset—such as regional characteristics, protocol standardization, or follow-up approach. -Please, include a patient-flow diagram summarizing inclusion and exclusion. -Clarify whether all patients had both admission and discharge LUS, and whether inter-observer reproducibility was assessed between centers. -Provide more detailed echocardiographic variables (E/e’, left atrial volume, pulmonary pressures, IVC diameter) to relate pulmonary and systemic congestion. -The chosen threshold of “≥ 3 B-lines bilaterally” requires justification. Current consensus statements (PMID: 31218825; 37450604) standardize the technique—using 6–8 scanning zones, clips ≥ 6 seconds per zone, and defining a positive zone as ≥ 3 B-lines. For pre-discharge risk stratification, these same documents indicate that ≥ 2 positive zones in an 8-zone protocol identify patients at higher short-term risk of adverse outcomes. -Please clarify how your protocol aligns with or diverges from these standardized recommendations, and justify why a binary criterion of “≥ 3 B-lines bilaterally” was selected instead of the zone-based approach endorsed by current international guidelines. -Consider ROC analysis to determine the optimal B-line threshold instead of fixed dichotomization. -Define clearly the components and adjudication of the composite endpoint. -Kaplan–Meier curves should include risk tables and p-values. -The discussion should move beyond confirming known associations to address mechanisms and practical implications (e.g., follow-up intensity, guided therapy). -Expand the discussion to explicitly contrast methodology, thresholds, and follow-up results with the main prior studies [Reference 1, Reference 2, Reference 3] to contextualize the findings. Minor comments: -Confirm whether both centers obtained separate ethics approvals. -Describe management of missing data. -Indicate operator training and inter-observer agreement (ICC or κ). -Ensure consistent terminology (“B-lines”, “HF”, “LUS”). Is the work clearly and accurately presented and does it cite the current literature? Partly Is the study design appropriate and is the work technically sound? Yes Are sufficient details of methods and analysis provided to allow replication by others? Yes If applicable, is the statistical analysis and its interpretation appropriate? Yes Are all the source data underlying the results available to ensure full reproducibility? Yes Are the conclusions drawn adequately supported by the results? Partly References 1. Coiro S, Rossignol P, Ambrosio G, Carluccio E, et al.: Prognostic value of residual pulmonary congestion at discharge assessed by lung ultrasound imaging in heart failure. European Journal of Heart Failure . 2015; 17 (11): 1172-1181 Publisher Full Text 2. Rivas‐Lasarte M, Álvarez‐García J, Fernández‐Martínez J, Maestro A, et al.: Lung ultrasound‐guided treatment in ambulatory patients with heart failure: a randomized controlled clinical trial (LUS‐HF study). European Journal of Heart Failure . 2019; 21 (12): 1605-1613 Publisher Full Text 3. Pugliese N, Mazzola M, Bandini G, Barbieri G, et al.: Prognostic Role of Sonographic Decongestion in Patients with Acute Heart Failure with Reduced and Preserved Ejection Fraction: A Multicentre Study. Journal of Clinical Medicine . 2023; 12 (3). Publisher Full Text Competing Interests No competing interests were disclosed. Reviewer Expertise Heart failure I confirm that I have read this submission and believe that I have an appropriate level of expertise to state that I do not consider it to be of an acceptable scientific standard, for reasons outlined above. reply Respond to this report Responses (0) Salamanca J. Peer Review Report For: Assessing the Prognostic Value of Lung Ultrasound in Detecting Pulmonary Congestion in Acute Heart Failure Patients [version 1; peer review: 1 approved, 2 not approved] . F1000Research 2025, 14 :1050 ( https://doi.org/10.5256/f1000research.185042.r425313) NOTE: it is important to ensure the information in square brackets after the title is included in this citation. The direct URL for this report is: https://f1000research.com/articles/14-1050/v1#referee-response-425313 Alongside their report, reviewers assign a status to the article: Approved - the paper is scientifically sound in its current form and only minor, if any, improvements are suggested Approved with reservations - A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit. Not approved - fundamental flaws in the paper seriously undermine the findings and conclusions Adjust parameters to alter display View on desktop for interactive features Includes Interactive Elements View on desktop for interactive features Competing Interests Policy Provide sufficient details of any financial or non-financial competing interests to enable users to assess whether your comments might lead a reasonable person to question your impartiality. Consider the following examples, but note that this is not an exhaustive list: Examples of 'Non-Financial Competing Interests' Within the past 4 years, you have held joint grants, published or collaborated with any of the authors of the selected paper. You have a close personal relationship (e.g. parent, spouse, sibling, or domestic partner) with any of the authors. You are a close professional associate of any of the authors (e.g. scientific mentor, recent student). You work at the same institute as any of the authors. You hope/expect to benefit (e.g. favour or employment) as a result of your submission. You are an Editor for the journal in which the article is published. Examples of 'Financial Competing Interests' You expect to receive, or in the past 4 years have received, any of the following from any commercial organisation that may gain financially from your submission: a salary, fees, funding, reimbursements. You expect to receive, or in the past 4 years have received, shared grant support or other funding with any of the authors. You hold, or are currently applying for, any patents or significant stocks/shares relating to the subject matter of the paper you are commenting on. Stay Updated Sign up for content alerts and receive a weekly or monthly email with all newly published articles Register with F1000Research Already registered? Sign in Not now, thanks close PLEASE NOTE If you are an AUTHOR of this article, please check that you signed in with the account associated with this article otherwise we cannot automatically identify your role as an author and your comment will be labelled as a “User Comment”. If you are a REVIEWER of this article, please check that you have signed in with the account associated with this article and then go to your account to submit your report, please do not post your review here. If you do not have access to your original account, please contact us . All commenters must hold a formal affiliation as per our Policies . The information that you give us will be displayed next to your comment. User comments must be in English, comprehensible and relevant to the article under discussion. We reserve the right to remove any comments that we consider to be inappropriate, offensive or otherwise in breach of the User Comment Terms and Conditions . Commenters must not use a comment for personal attacks. When criticisms of the article are based on unpublished data, the data should be made available. I accept the User Comment Terms and Conditions Please confirm that you accept the User Comment Terms and Conditions. Affiliation ✕ refresh Please enter your institution. Note: To add your institution or organisation, start typing the name and then select the correct name from the list. Where applicable, the name will appear in both the original language and in English. Do not paste in the name. If the name does not appear in the drop-down list, we will display the information you have entered. ✕ refresh Country/Region * USA UK Canada China France Germany Afghanistan Aland Islands Albania Algeria American Samoa Andorra Angola Anguilla Antarctica Antigua and Barbuda Argentina Armenia Aruba Australia Austria Azerbaijan Bahamas Bahrain Bangladesh Barbados Belarus Belgium Belize Benin Bermuda Bhutan Bolivia Bosnia and Herzegovina Botswana Bouvet Island Brazil British Indian Ocean Territory British Virgin Islands Brunei Bulgaria Burkina Faso Burundi Cambodia Cameroon Canada Cape Verde Cayman Islands Central African Republic Chad Chile China Christmas Island Cocos (Keeling) Islands Colombia Comoros Congo Cook Islands Costa Rica Cote d'Ivoire Croatia Cuba Cyprus Czech Republic Democratic Republic of the Congo Denmark Djibouti Dominica Dominican Republic Ecuador Egypt El Salvador Equatorial Guinea Eritrea Estonia Ethiopia Falkland Islands Faroe Islands Federated States of Micronesia Fiji Finland France French Guiana French Polynesia French Southern Territories Gabon Georgia Germany Ghana Gibraltar Greece Greenland Grenada Guadeloupe Guam Guatemala Guernsey Guinea Guinea-Bissau Guyana Haiti Heard Island and Mcdonald Islands Holy See (Vatican City State) Honduras Hong Kong Hungary Iceland India Indonesia Iran Iraq Ireland Israel Italy Jamaica Japan Jersey Jordan Kazakhstan Kenya Kiribati Kosovo (Serbia and Montenegro) Kuwait Kyrgyzstan Lao People's Democratic Republic Latvia Lebanon Lesotho Liberia Libya Liechtenstein Lithuania Luxembourg Macao Madagascar Malawi Malaysia Maldives Mali Malta Marshall Islands Martinique Mauritania Mauritius Mayotte Mexico Minor Outlying Islands of the United States Moldova Monaco Mongolia Montenegro Montserrat Morocco Mozambique Myanmar Namibia Nauru Nepal Netherlands Antilles New Caledonia New Zealand Nicaragua Niger Nigeria Niue Norfolk Island North Korea North Macedonia Northern Mariana Islands Norway Oman Pakistan Palau Palestinian Territory Panama Papua New Guinea Paraguay Peru Philippines Pitcairn Poland Portugal Puerto Rico Qatar Reunion Romania Russian Federation Rwanda Saint Helena Saint Kitts and Nevis Saint Lucia Saint Pierre and Miquelon Saint Vincent and the Grenadines Samoa San Marino Sao Tome and Principe Saudi Arabia Senegal Serbia Seychelles Sierra Leone Singapore Slovakia Slovenia Solomon Islands Somalia South Africa South Georgia and the South Sandwich Is South Korea South Sudan Spain Sri Lanka Sudan Suriname Svalbard and Jan Mayen Swaziland Sweden Switzerland Syria Taiwan Tajikistan Tanzania Thailand The Gambia The Netherlands Timor-Leste Togo Tokelau Tonga Trinidad and Tobago Tunisia Turkey Turkmenistan Turks and Caicos Islands Tuvalu UK USA Uganda Ukraine United Arab Emirates United States Virgin Islands Uruguay Uzbekistan Vanuatu Venezuela Vietnam Wallis and Futuna West Bank and Gaza Strip Western Sahara Yemen Zambia Zimbabwe Please select your country/region. You must enter a comment. Competing Interests Please disclose any competing interests that might be construed to influence your judgment of the article's or peer review report's validity or importance. Competing Interests Policy Provide sufficient details of any financial or non-financial competing interests to enable users to assess whether your comments might lead a reasonable person to question your impartiality. Consider the following examples, but note that this is not an exhaustive list: Examples of 'Non-Financial Competing Interests' Within the past 4 years, you have held joint grants, published or collaborated with any of the authors of the selected paper. You have a close personal relationship (e.g. parent, spouse, sibling, or domestic partner) with any of the authors. You are a close professional associate of any of the authors (e.g. scientific mentor, recent student). You work at the same institute as any of the authors. You hope/expect to benefit (e.g. favour or employment) as a result of your submission. You are an Editor for the journal in which the article is published. Examples of 'Financial Competing Interests' You expect to receive, or in the past 4 years have received, any of the following from any commercial organisation that may gain financially from your submission: a salary, fees, funding, reimbursements. You expect to receive, or in the past 4 years have received, shared grant support or other funding with any of the authors. You hold, or are currently applying for, any patents or significant stocks/shares relating to the subject matter of the paper you are commenting on. Please state your competing interests The comment has been saved. An error has occurred. Please try again. Cancel Post var lTitle = "Assessing the Prognostic Value of Lung Ultrasound...".replace("'", ''); var linkedInUrl = "http://www.linkedin.com/shareArticle?url=https://f1000research.com/articles/14-1050/v1" + "&title=" + encodeURIComponent(lTitle) + "&summary=" + encodeURIComponent('Read the article by '); var deliciousUrl = "https://del.icio.us/post?url=https://f1000research.com/articles/14-1050/v1&title=" + encodeURIComponent(lTitle); var redditUrl = "http://reddit.com/submit?url=https://f1000research.com/articles/14-1050/v1" + "&title=" + encodeURIComponent(lTitle); linkedInUrl += encodeURIComponent('Jabeur M et al.'); var offsetTop = /chrome/i.test( navigator.userAgent ) ? 4 : -10; var addthis_config = { ui_offset_top: offsetTop, services_compact : "facebook,twitter,www.linkedin.com,www.mendeley.com,reddit.com", services_expanded : "facebook,twitter,www.linkedin.com,www.mendeley.com,reddit.com", services_custom : [ { name: "LinkedIn", url: linkedInUrl, icon:"/img/icon/at_linkedin.svg" }, { name: "Mendeley", url: "http://www.mendeley.com/import/?url=https://f1000research.com/articles/14-1050/v1/mendeley", icon:"/img/icon/at_mendeley.svg" }, { name: "Reddit", url: redditUrl, icon:"/img/icon/at_reddit.svg" }, ] }; var addthis_share = { url: "https://f1000research.com/articles/14-1050", templates : { twitter : "Assessing the Prognostic Value of Lung Ultrasound in Detecting.... Jabeur M et al., published by " + "@F1000Research" + ", https://f1000research.com/articles/14-1050/v1" } }; if (typeof(addthis) != "undefined"){ addthis.addEventListener('addthis.ready', checkCount); addthis.addEventListener('addthis.menu.share', checkCount); } $(".f1r-shares-twitter").attr("href", "https://twitter.com/intent/tweet?text=" + addthis_share.templates.twitter); $(".f1r-shares-facebook").attr("href", "https://www.facebook.com/sharer/sharer.php?u=" + addthis_share.url); $(".f1r-shares-linkedin").attr("href", addthis_config.services_custom[0].url); $(".f1r-shares-reddit").attr("href", addthis_config.services_custom[2].url); $(".f1r-shares-mendelay").attr("href", addthis_config.services_custom[1].url); function checkCount(){ setTimeout(function(){ $(".addthis_button_expanded").each(function(){ var count = $(this).text(); if (count !== "" && count != "0") $(this).removeClass("is-hidden"); else $(this).addClass("is-hidden"); }); }, 1000); } close How to cite this report {{reportCitation}} Cancel Copy Citation Details $(function(){R.ui.buttonDropdowns('.dropdown-for-downloads');}); $(function(){R.ui.toolbarDropdowns('.toolbar-dropdown-for-downloads');}); $.get("/articles/acj/167897/185042") new F1000.Clipboard(); new F1000.ThesaurusTermsDisplay("articles", "article", "185042"); $(document).ready(function() { $( "#frame1" ).on('load', function() { var mydiv = $(this).contents().find("div"); var h = mydiv.height(); console.log(h) }); var tooltipLivingFigure = jQuery(".interactive-living-figure-label .icon-more-info"), titleLivingFigure = tooltipLivingFigure.attr("title"); tooltipLivingFigure.simpletip({ fixed: true, position: ["-115", "30"], baseClass: 'small-tooltip', content:titleLivingFigure + " " }); tooltipLivingFigure.removeAttr("title"); $("body").on("click", ".cite-living-figure", function(e) { e.preventDefault(); var ref = $(this).attr("data-ref"); $(this).closest(".living-figure-list-container").find("#" + ref).fadeIn(200); }); $("body").on("click", ".close-cite-living-figure", function(e) { e.preventDefault(); $(this).closest(".popup-window-wrapper").fadeOut(200); }); $(document).on("mouseup", function(e) { var metricsContainer = $(".article-metrics-popover-wrapper"); if (!metricsContainer.is(e.target) && metricsContainer.has(e.target).length === 0) { $(".article-metrics-close-button").click(); } }); var articleId = $('#articleId').val(); if($("#main-article-count-box").attachArticleMetrics) { $("#main-article-count-box").attachArticleMetrics(articleId, { articleMetricsView: true }); } }); var figshareWidget = $(".new_figshare_widget"); if (figshareWidget.length > 0) { window.figshare.load("f1000", function(Widget) { // Select a tag/tags defined in your page. In this tag we will place the widget. _.map(figshareWidget, function(el){ var widget = new Widget({ articleId: $(el).attr("figshare_articleId") //height:300 // this is the height of the viewer part. [Default: 550] }); widget.initialize(); // initialize the widget widget.mount(el); // mount it in a tag that's on your page // this will save the widget on the global scope for later use from // your JS scripts. This line is optional. //window.widget = widget; }); }); } close Error Close Add Reset F1000.MICROSERVICES.AFFILIATION = ''; $(document).ready(function () { $('.js-affiliations-form').each((index, form) => { new AffiliationForm({ formId: form.id, institutionErrorSelector: '.comment-enter-institution', departmentErrorSelector: '.comment-enter-department', placeSelector: '.js-add-comment-place', stateSelector: '.js-add-comment-state', zipCodeSelector: '.js-add-comment-zipcode', countrySelector: '.js-add-comment-country', countryErrorSelector: '.comment-enter-country', }); }); }); $(document).ready(function () { var reportIds = { "422094": 0, "422095": 0, "422092": 0, "422093": 0, "422090": 0, "422091": 0, "422089": 0, "422098": 0, "422096": 0, "422097": 0, "425310": 0, "425311": 0, "433830": 0, "425318": 3, "433831": 0, "425319": 1, "425316": 0, "433828": 0, "425317": 0, "433829": 0, "425314": 0, "425315": 0, "425312": 0, "425313": 7, "433838": 0, "433836": 0, "433837": 0, "433834": 0, "433835": 0, "433832": 0, "433833": 0, }; $(".referee-response-container,.js-referee-report").each(function(index, el) { var reportId = $(el).attr("data-reportid"), reportCount = reportIds[reportId] || 0; $(el).find(".comments-count-container,.js-referee-report-views").html(reportCount); }); var uuidInput = $("#article_uuid"), oldUUId = uuidInput.val(), newUUId = "c2d6ead9-1e8c-4d13-a092-0a403da7add9"; uuidInput.val(newUUId); $("a[href*='article_uuid=']").each(function(index, el) { var newHref = $(el).attr("href").replace(oldUUId, newUUId); $(el).attr("href", newHref); }); }); An innovative open access publishing platform offering rapid publication and open peer review, whilst supporting data deposition and sharing. Browse Gateways Collections How it Works Contact For Developers Cookie Notice Privacy Notice RSS Submit Your Research Follow us © 2012-2026 F1000 Research Ltd. ISSN 2046-1402 | Legal | Partner of Research4Life • CrossRef • ORCID • FAIRSharing R.templateTests.simpleTemplate = R.template(' $text $text $text $text $text '); R.templateTests.runTests(); var F1000platform = new F1000.Platform({ name: "f1000research", displayName: "F1000Research", hostName: "f1000research.com", id: "1", editorialEmail: "[email protected]", infoEmail: "[email protected]", usePmcStats: true }); $(function(){R.ui.dropdowns('.dropdown-for-authors, .dropdown-for-about, .dropdown-for-myresearch');}); // $(function(){R.ui.dropdowns('.dropdown-for-referees');}); $(document).ready(function () { if ($(".cookie-warning").is(":visible")) { $(".sticky").css("margin-bottom", "35px"); $(".devices").addClass("devices-and-cookie-warning"); } $(".cookie-warning .close-button").click(function (e) { $(".devices").removeClass("devices-and-cookie-warning"); $(".sticky").css("margin-bottom", "0"); }); $("#tweeter-feed .tweet-message").each(function (i, message) { var self = $(message); self.html(linkify(self.html())); }); $(".partner").on("mouseenter mouseleave", function() { $(this).find(".gray-scale, .colour").toggleClass("is-hidden"); }); }); Sign In Remember me Forgotten your password? Sign In Cancel Email or password not correct. Please try again Please wait... $(function(){ // Note: All the setup needs to run against a name attribute and *not* the id due the clonish // nature of facebox... $("a[id=googleSignInButton]").click(function(event){ event.preventDefault(); $("input[id=oAuthSystem]").val("GOOGLE"); $("form[id=oAuthForm]").submit(); }); $("a[id=facebookSignInButton]").click(function(event){ event.preventDefault(); $("input[id=oAuthSystem]").val("FACEBOOK"); $("form[id=oAuthForm]").submit(); }); $("a[id=orcidSignInButton]").click(function(event){ event.preventDefault(); $("input[id=oAuthSystem]").val("ORCID"); $("form[id=oAuthForm]").submit(); }); }); If you've forgotten your password, please enter your email address below and we'll send you instructions on how to reset your password. The email address should be the one you originally registered with F1000. Email address not valid, please try again You registered with F1000 via Google, so we cannot reset your password. To sign in, please click here . If you still need help with your Google account password, please click here . You registered with F1000 via Facebook, so we cannot reset your password. To sign in, please click here . If you still need help with your Facebook account password, please click here . Code not correct, please try again Reset password Cancel Email us for further assistance. Server error, please try again. If your email address is registered with us, we will email you instructions to reset your password. If you think you should have received this email but it has not arrived, please check your spam filters and/or contact for further assistance. Please wait... Register $(document).ready(function () { signIn.createSignInAsRow($("#sign-in-form-gfb-popup")); $(".target-field").each(function () { var uris = $(this).val().split("/"); if (uris.pop() === "login") { $(this).val(uris.toString().replace(",","/")); } }); });

Text is read by the "Ask this paper" AI Q&A widget below. Extraction quality varies by source — PMC NXML preserves structure cleanly, OA-HTML may include some navigation residue, and OA-PDF can have broken hyphenation. The publisher copy (via DOI) is the canonical version.

My notes (saved in your browser only)

Ask this paper AI returns verbatim quotes from the full text · source: preprint-html

Answers must be backed by verbatim quotes from this paper's full text. Hallucinated quotes are dropped automatically; if no verbatim passage answers the question, we say so. How this works

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. This is a recent paper (2025) — citers typically take a year or two to land, and the OpenAlex reference graph may still be filling in.

Source provenance

europepmc
last seen: 2026-05-20T01:45:00.602351+00:00