Predictive value of the haptoglobin-to-lactate ratio for mortality in patients with sepsis-associated myocardial injury: a retrospective cohort study | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (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;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Article Predictive value of the haptoglobin-to-lactate ratio for mortality in patients with sepsis-associated myocardial injury: a retrospective cohort study Chaoyue Yu, Shaobo Cui, Dongrong Li, Yinghui Li, Jun Jin, Qi Ding, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-9010547/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Background Sepsis-induced myocardial injury (SIMI) is a frequent and life-threatening complication among critically ill patients with sepsis. While lactate is a classic marker of tissue hypoperfusion and metabolic stress, haptoglobin (Hp) serves as a vital scavenger of toxic cell-free hemoglobin, reflecting the host's antioxidative defense capacity. Consequently, the haptoglobin-to-lactate ratio (HLR) may represent a novel composite index capturing the balance between physiological reserve and pathological insult. However, the prognostic value of HLR has not been systematically evaluated in the high-risk population of patients with SIMI.This study aimed to examine the association between the HLR and both short- and long-term all-cause mortality in patients with SIMI, and to assess its prognostic value in this high-risk population. Methods This retrospective cohort study was conducted using the Medical Information Mart for Intensive Care IV (MIMIC-IV, version 3.1) database. Adult patients who met Sepsis-3 criteria and were admitted to the intensive care unit (ICU) were included. SIMI was defined as an elevated serum troponin T (> 0.01 ng/mL) within the first 24 hours of ICU admission in the absence of acute coronary syndrome or other non-septic causes. The HLR was calculated as Hp (mg/dL) divided by serum lactate (mmol/L) on the first ICU day and analyzed both as a continuous variable and in quartiles. Baseline characteristics were compared across HLR quartiles. Survival differences were estimated using Kaplan–Meier curves. Cox proportional hazards regression models were applied to assess the independent association between HLR and 28-day and 90-day all-cause mortality. Non-linear relationships were explored using restricted cubic splines (RCS). Subgroup analyses were performed to test the consistency of associations across clinical strata. Results A total of 609 patients with SIMI were included. Patients in higher HLR quartiles had lower SOFA scores and significantly lower lactate levels compared with those in lower quartiles. Kaplan–Meier analysis demonstrated significantly improved survival with increasing HLR quartiles (log-rank P < 0.001). In multivariable Cox regression models, a higher HLR was independently associated with reduced 28-day all-cause mortality (Q4 vs. Q1: adjusted hazard ratio [HR] 0.63, 95% confidence interval [CI] 0.43–0.95, P = 0.025) and 90-day all-cause mortality (Q4 vs. Q1: adjusted HR 0.67, 95% CI 0.46–0.96, P = 0.027). RCS analysis revealed an L-shaped non-linear relationship between HLR and mortality risk, with optimal breakpoints identified at 7.864 for 28-day mortality and 2.125 for 90-day mortality. Subgroup analysis indicated that the prognostic value of HLR was particularly pronounced in elderly patients aged ≥ 65 years ( P for interaction = 0.035). Conclusions The HLR is a novel and reliable biomarker for predicting short- and long-term mortality in septic patients with myocardial injury. This simple, inflammation–metabolism–based index may serve as a convenient tool for risk stratification and prognostic assessment in critical care settings. Health sciences/Biomarkers Health sciences/Cardiology Health sciences/Diseases Health sciences/Medical research Health sciences/Risk factors sepsis myocardial injury haptoglobin lactate biomarker prognosis MIMIC-IV SIMI HLR Figures Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 Figure 6 Introduction Sepsis remains a leading cause of morbidity and mortality in intensive care units (ICUs) worldwide and is defined as life-threatening organ dysfunction caused by a dysregulated host response to infection [ 1 ][ 2 ] . Among the multiple organ dysfunctions associated with sepsis, sepsis-induced myocardial injury (SIMI) is particularly concerning. SIMI is characterized by reversible myocardial depression and elevated cardiac biomarkers, such as troponin, in the absence of acute coronary syndrome [ 3 ][ 4 ] . It has been reported that SIMI occurs in 30–50% of patients with sepsis and is independently associated with a significantly increased risk of death [ 5 ][ 6 ] . Therefore, early and accurate risk stratification in this population is essential to guide clinical decision-making. Haptoglobin (Hp) is an acute-phase plasma protein that binds free hemoglobin (Hb), thereby reducing Hb-induced oxidative damage. Clinical data have shown that higher serum Hp levels are associated with lower 28-day mortality in patients with septic shock, suggesting a potential protective role [ 7 ] . Recent studies have further demonstrated that terminal fucosylation of Hp (Fu-Hp) at Asn207 and Asn211 is significantly elevated in the plasma of patients with sepsis. Fu-Hp can interact with macrophage C-type lectin receptors such as Mincle (CLEC4E), activating the NF-κB and MAPK pathways and inducing the release of pro-inflammatory cytokines (e.g., IL-1β, IL-6, TNF-α), as well as activating the NLRP3 inflammasome [ 8 ] .Hp is synthesized and degraded primarily in the liver, its expression is regulated by inflammation, and its plasma levels have been used as a biomarker for tissue damage and infection [ 9 ] . Lactate is a sensitive indicator of metabolic stress and circulatory decompensation. In sepsis, pro-inflammatory cytokines such as IL-1β promote lactate production by inducing a shift toward aerobic glycolysis; elevated lactate levels therefore are not solely due to tissue hypoxia [ 10 ] .Moreover, lactate itself may modulate immune responses by acting via lactate transporters and epigenetic mechanisms to influence immune cell function [ 11 ] . Thus, lactate integrates both hemodynamic and immunometabolic derangements in sepsis. To date, no study has systematically investigated the prognostic value of the haptoglobin-to-lactate ratio (HLR) in patients with SIMI. We hypothesized that the HLR, which combines an index of antioxidative and hemoglobin-scavenging capacity (Hp) with a marker of metabolic stress (lactate), may provide superior prognostic information compared with either parameter alone. Using data from the large, publicly available MIMIC-IV database, this study aimed to evaluate whether the HLR is associated with short- and long-term mortality and to determine its potential role in risk stratification among patients with sepsis-induced myocardial injury. Methods Data Source This retrospective cohort study was conducted using data from the Medical Information Mart for Intensive Care IV (MIMIC-IV, version 3.1) database. MIMIC-IV contains comprehensive, de-identified health-related data for patients admitted to the ICUs of Beth Israel Deaconess Medical Center in Boston, USA [ 12 ] .The use of MIMIC-IV has been approved by the institutional review boards of the Massachusetts Institute of Technology and Beth Israel Deaconess Medical Center, and the requirement for individual informed consent was waived because all data are de-identified. The authors completed the required training and obtained access to the database prior to data extraction(record number:72371138). Study Population We initially identified all adult patients (aged ≥ 18 years) who were admitted to the ICU and met the Sepsis-3 criteria (suspected or documented infection plus an acute increase in SOFA score ≥ 2) in the MIMIC-IV database. A total of 41,295 ICU admissions with sepsis were screened. The patient selection process was as follows: (1) patients younger than 18 years were excluded; (2) patients with an ICU length of stay less than 24 hours were excluded; (3) patients with missing measurements of either serum lactate or haptoglobin on the first day of ICU admission were excluded; (4) non-first ICU admissions for the same patient were excluded; and (5) patients with a history of heart failure, myocardial infarction, chronic obstructive pulmonary disease, or acute myocarditis were excluded. After these exclusions, 1,272 adult patients with sepsis and complete Hp and lactate data were included in the cohort. Definition of Sepsis-Induced Myocardial Injury Sepsis-induced myocardial injury (SIMI) was defined as an elevated serum troponin T concentration > 0.01 ng/mL within the first 24 hours of ICU admission, in the absence of acute coronary syndrome or other non-septic causes of myocardial injury [ 13 ] . According to troponin T measurements and values, patients were categorized as follows: (1) troponin T not measured (n = 644); (2) troponin T ≤ 0.01 ng/mL (n = 19); and (3) troponin T > 0.01 ng/mL, fulfilling the definition of SIMI (n = 609). The primary analytical sample for this study consisted of the 609 patients with SIMI. Exposure: Haptoglobin-to-Lactate Ratio The primary exposure of interest was the haptoglobin-to-lactate ratio (HLR). Haptoglobin (Hp) and serum lactate were both measured within the first 24 hours of ICU admission. The HLR was calculated as Hp (mg/dL) divided by lactate (mmol/L). Patients with SIMI were further stratified into quartiles according to HLR values: Q1 (0.18 ≤ HLR ≤ 19.71, n = 153), Q2 (20.00 ≤ HLR ≤ 57.32, n = 152), Q3 (60.00 ≤ HLR ≤ 136.25, n = 152), and Q4 (136.36 ≤ HLR ≤ 716.00, n = 152). Outcomes The primary outcomes were 28-day and 90-day all-cause mortality after ICU admission. Mortality status and dates of death were obtained from in-hospital records and linked long-term follow-up data in MIMIC-IV. Covariates Baseline variables extracted from the database included demographics (Age, Gender), vital signs, comorbidities (e.g., Diabetes, Chronic Kidney Disease (CKD)), laboratory parameters (Albumin, Creatinine, Glucose, Hemoglobin, Platelet count, activated partial thromboplastin time (APTT), white blood cell count(WBC), peak troponin T, and severity scores (SOFA). Therapeutic interventions recorded during the first 24 hours included the use of Mechanical Ventilation, Vasopressors, and continuous renal replacement therapy (CRRT). Handling of Missing Data Prior to analysis, the extent of missing data for all baseline variables was evaluated. Variables with more than 20% missingness were excluded to ensure data quality. For variables with less than 20% missingness, missing values were assumed to be missing at random. Multiple imputation by chained equations (MICE) was performed using the mice package in R. Five imputed datasets were generated using predictive mean matching for continuous variables to preserve the original data distribution. Regression analyses were conducted separately in each imputed dataset, and results were pooled according to Rubin’s rules. Multicollinearity among covariates was assessed using the variance inflation factor (VIF), and variables with VIF > 5 were removed from the final models. Statistical Analysis Continuous variables were expressed as mean ± standard deviation (SD) or median (interquartile range [IQR]), as appropriate, and compared across HLR quartiles using one-way analysis of variance (ANOVA) or the Kruskal–Wallis test. Categorical variables were presented as counts (percentages) and compared using the chi-square test. Kaplan–Meier survival curves were constructed for 28-day and 90-day mortality according to HLR quartiles, and differences were assessed using the log-rank test. Cox proportional hazards regression models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for the association between HLR and mortality. Three models were constructed: Model 1 was unadjusted; Model 2 was adjusted for age; and Model 3 was further adjusted for age, sex, CKD, SOFA score, CRRT, hemoglobin, platelet count, APTT, glucose, and vasopressor use. HLR was analyzed both as a categorical variable (quartiles) and as a continuous variable. Restricted cubic spline (RCS) functions with four knots at the 5th, 35th, 65th, and 95th percentiles of the HLR distribution were used to evaluate potential non-linear relationships between HLR and mortality risk. Subgroup analyses were performed according to age, sex, and CKD status, and multiplicative interactions were tested by including product terms in the Cox models. A two-sided P -value < 0.05 was considered statistically significant. Results Baseline Characteristics A total of 609 patients with sepsis-induced myocardial injury were included in the final analysis. The flowchart of patient selection from the MIMIC-IV database is shown in Fig. 1 . Baseline demographic characteristics, comorbidities, laboratory findings, and clinical outcomes stratified by HLR quartiles are summarized in Table 1. Among the included patients, 357 (58.6%) were male, 95 (15.6%) had diabetes mellitus, and 222 (36.4%) had CKD. Vasopressors were administered to 479 (78.7%) patients, and 570 (93.6%) required mechanical ventilation. Patients were categorized into four HLR quartiles: Q1 (0.18 ≤ HLR ≤ 19.71, n = 153), Q2 (20.00 ≤ HLR ≤ 57.32, n = 152), Q3 (60.00 ≤ HLR ≤ 136.25, n = 152), and Q4 (136.36 ≤ HLR ≤ 716.00, n = 152). Compared with patients in the highest quartile (Q4), those in lower quartiles (Q1–Q3) generally had higher SOFA scores, higher lactate levels, increased white blood cell counts, prolonged APTT, and higher peak troponin T levels. In contrast, platelet counts and Hp concentrations were higher in the Q4 group. Both 28-day and 90-day mortality rates were significantly lower in Q4 than in the lower quartiles, particularly Q1 ( P < 0.05). Association Between HLR and Mortality Kaplan–Meier survival curves revealed a clear gradient of risk across HLR quartiles for both 28-day and 90-day mortality, with patients in Q4 exhibiting the highest survival probability and those in Q1 the lowest (log-rank P < 0.001 for both endpoints). In Cox regression analyses, using Q1 as the reference category, higher HLR quartiles were associated with progressively lower mortality. In the fully adjusted Model 3, patients in Q4 had a significantly reduced risk of 28-day mortality compared with Q1 (adjusted HR 0.63, 95% CI 0.43–0.95, P = 0.025). Similarly, for 90-day mortality, Q4 was independently associated with improved survival (adjusted HR 0.67, 95% CI 0.46–0.96, P = 0.027). Q2 and Q3 also demonstrated trends toward lower mortality, although the protective effect was greatest in Q4. Crudemodel:Unadjusted;Model1:AdjustedAge;Model2:AdjustedAge,Gender,CKD,Sofa,CRRT,Hemoglobin,Platelet,APTT,Glucose,Vasopressor. Non-linear Relationship Between HLR and Mortality To visually assess the non-linear dose-response relationship between the HLR and the risk of mortality, we utilized restricted cubic spline (RCS) models based on logistic regression. The model was fitted using the rms package in R. We placed 4 knots at the 5th, 35th, 65th, and 95th percentiles of the HLR distribution to effectively capture the potential non-linear shape. The reference value was set at the median (or the first quartile) of the HLR. A test for non-linearity was performed by assessing the significance of the non-linear terms ( P for non-linearity). Furthermore, we calculated the optimal cutoff value (breakpoint) where the protective association significantly plateaued or changed trajectory, based on the shape of the spline curve. 28-day Mortality: The risk of death decreased sharply as the HLR increased, plateauing after a breakpoint of 7.864 (95% CI: 2–8.114). 90-day Mortality: A similar L-shaped curve was observed, with a best breakpoint calculated at 2.125 (95% CI: 2–8.114). This suggests that maintaining an HLR above these thresholds is critical for survival. Subgroup Analyses Subgroup analyses for 90-day mortality showed that the inverse association between higher HLR and mortality was generally consistent across sex and CKD subgroups ( P for interaction > 0.05 for both). However, a significant interaction was observed for age (P for interaction = 0.035). In patients aged ≥ 65 years, the protective effect of higher HLR was particularly pronounced; in this group, Q4 was associated with a substantially reduced risk of death (HR 0.35, 95% CI 0.23–0.54). Forest plots of subgroup analyses for 28-day and 90-day mortality are presented in Figs. 5 and 6 . Discussion In this large, retrospective cohort study based on the MIMIC-IV database, we demonstrated for the first time that the haptoglobin-to-lactate ratio is a strong and independent predictor of both short- and long-term mortality in patients with sepsis-induced myocardial injury. Lower HLR values were associated with substantially higher 28-day and 90-day mortality, and RCS analysis revealed a distinct L-shaped relationship, indicating that mortality risk increases steeply below specific HLR thresholds. The L-shaped relationship identified in our RCS analysis merits specific clinical consideration. This curve implies a "threshold effect" rather than a linear dose-response. The steep escalation in mortality risk below the inflection point (HLR < 7.864 for 28-day mortality) likely signifies the complete saturation of the reticuloendothelial system's scavenging capacity [47]. Above this threshold, sufficient physiological reserve exists to neutralize cell-free hemoglobin, resulting in a plateau of risk. This distinct breakpoint offers a concrete warning threshold for clinicians: patients dropping below this critical ratio have likely exhausted their compensatory mechanisms and entered a phase of unmitigated metabolic and cytotoxic stress [ 14 ] . Mechanistically, a low HLR likely reflects the convergence of two detrimental processes: impaired antioxidative and hemoglobin-scavenging capacity (low Hp) and heightened metabolic stress (high lactate). In sepsis, hyperlactatemia is a composite marker of tissue hypoperfusion, mitochondrial dysfunction, and adrenergic stimulation, and is closely linked to adverse outcomes and myocardial dysfunction [ 15 ][ 16 ] . Concurrently, sepsis is frequently accompanied by intravascular hemolysis, leading to the release of cell-free hemoglobin (CFH) and heme, which promote oxidative stress, vasoconstriction, endothelial injury, and organ dysfunction [ 17 ][ 18 ][ 19 ][ 20 ][ 21 ] . Biologically, the poor prognosis associated with a low HLR may stem from the direct cardiotoxicity of intravascular hemolysis. As haptoglobin reserves fail, accumulating cell-free hemoglobin scavenges nitric oxide (NO) within the vasculature, triggering severe systemic and coronary vasoconstriction [ 22 ] . This loss of NO compromises microcirculatory flow and increases cardiac afterload, potentially worsening myocardial ischemia even without overt shock [ 23 ] . Beyond the hemodynamic sequelae of nitric oxide scavenging, haptoglobin depletion may directly precipitate myocardial cellular injury via ferroptosis [ 24 ] . When haptoglobin reserves are exhausted, free heme accumulates and translocates into cardiomyocytes. Heme acts as a potent pro-oxidant, catalyzing the Fenton reaction to generate hydroxyl radicals and drive lipid peroxidation of mitochondrial membranes [ 25 ] . Recent evidence suggests the heart is uniquely susceptible to this heme-driven ferroptosis during sepsis, as cardiomyocytes possess lower intrinsic antioxidative capacity compared to hepatocytes [ 26 ] . Thus, a suppressed HLR not only reflects systemic ischemia but serves as a circulating proxy for the specific risk of myocardial iron toxicity and mitochondrial collapse.Parallel to this, the lactate component of HLR signals mitochondrial distress. In septic cardiomyopathy, cardiomyocytes undergo profound metabolic reprogramming and mitochondrial suppression, which can blunt contractility regardless of oxygen supply [ 27 ] . Hp is the principal intravascular scavenger of CFH, forming Hp–Hb complexes that facilitate clearance via CD163-expressing macrophages and mitigate hemoglobin-mediated toxicity [ 21 ][ 28 ][ 29 ] .Low Hp concentrations in this context indicate an overwhelmed scavenger system and are associated with greater CFH burden and worse clinical outcomes [ 19 ][ 18 ][ 30 ] .Therefore, a low HLR signals a “double hit” of severe metabolic derangement and inadequate antioxidative defense, which may be particularly deleterious for myocardial tissue. Our findings also resonate with the growing interest in composite biomarker ratios in sepsis. Ratios such as the lactate/albumin ratio (LAR) have been shown to outperform lactate alone for mortality prediction in sepsis and septic shock, likely because they integrate multiple pathophysiological domains into a single index [ 31 ][ 32 ] .The HLR follows a similar conceptual framework. Compared with albumin, Hp is more specifically linked to the hemolysis and oxidative stress pathway, whereas albumin is a general negative acute-phase reactant influenced by inflammation, capillary leak, hepatic function, and nutritional status [ 33 ][ 34 ][ 35 ] . Although cardiac troponin remains the diagnostic cornerstone for myocardial injury, its prognostic precision in sepsis is frequently clouded by issues like reduced renal clearance or non-ischemic leakage. HLR offers a different perspective by integrating two upstream drivers of injury: hemolytic oxidative stress and metabolic failure. Rather than merely reflecting established cellular damage, this ratio captures the ongoing systemic toxicity burden, potentially providing a more dynamic gauge of physiological reserve than static biomarkers alone [ 36 ] .In our cohort, HLR remained significantly associated with mortality after adjustment for SOFA score and other confounders, suggesting that it captures unique information not fully reflected in conventional organ failure scores. From a translational perspective, the clinical utility of HLR lies in its pragmatic accessibility. While novel biomarkers for sepsis, such as mid-regional pro-adrenomedullin (MR-proADM) or soluble urokinase plasminogen activator receptor (suPAR), show promise, their high cost and limited availability restrict routine implementation in resource-limited settings [ 37 ][ 38 ] . In contrast, haptoglobin and lactate are standard components of admission panels in most intensive care units. The robust prognostic signal of HLR suggests it could function as a rapid "bedside triage" tool. Identifying patients with a disproportionately low HLR upon admission could trigger earlier, more aggressive hemodynamic monitoring or adjunctive therapies aimed at mitigating hemolysis [ 39 ] . The observed interaction between age and HLR provides additional mechanistic insight. With advancing age, red blood cells accumulate oxidative damage and exhibit impaired antioxidant enzyme activity and increased membrane fragility, which may promote subclinical hemolysis and greater fluctuations in circulating CFH [ 40 ][ 41 ][ 42 ] .Haptoglobin plays a central protective role in hemolytic and septic states, and an increased hemolytic burden or diminished Hp reserve in older individuals may amplify the prognostic signal carried by HLR [ 43 ][ 44 ] .Aging is also associated with reduced liver mass and blood flow and diminished hepatic functional reserve, potentially impairing both Hp synthesis and lactate clearance [ 45 ] . Consistent with this framework, previous studies in elderly or metabolically fragile critically ill populations have shown that lactate and lactate-based indices, such as the lactate/albumin ratio, carry strong prognostic information, especially in the setting of hepatic or renal dysfunction [ 46 ][ 47 ] . These mechanisms may help explain why the association between HLR and mortality was more prominent in older patients in our study, although this interaction remains exploratory and should be confirmed in external cohorts. This study has several strengths. First, we leveraged a large, high-quality, publicly available critical care database with detailed clinical and laboratory data. Second, we performed comprehensive adjustment for potential confounders and used advanced statistical techniques, including multiple imputation for missing data and RCS modelling to explore non-linear relationships. Third, we conducted subgroup and interaction analyses to examine the robustness and generalizability of the findings across clinically relevant strata. Several limitations should also be acknowledged. Due to the retrospective observational design, residual confounding cannot be fully excluded despite extensive adjustment. External validation in independent datasets is lacking, and our findings may not be generalizable to populations or settings where Hp and lactate are not routinely measured. Additionally, the requirement for concurrent measurements of Hp and lactate on ICU admission may have introduced selection bias. Finally, there is no universally accepted diagnostic standard for sepsis-induced myocardial injury; troponin T is highly sensitive but not specific for SIMI, and some degree of misclassification is possible. Implications and Future Directions Our findings suggest that the HLR is a promising, readily available biomarker for risk stratification in patients with sepsis-induced myocardial injury. Because Hp and lactate are routinely measured in many ICUs, the HLR can be calculated at minimal additional cost and may complement existing severity scores such as SOFA. Future studies should aim to (i) validate the prognostic value and optimal thresholds of HLR in independent multicenter cohorts; (ii) evaluate its incremental predictive performance over established risk models; (iii) characterize dynamic changes in HLR during the ICU stay; and (iv) explore whether therapeutic interventions targeting hemolysis, oxidative stress, or tissue perfusion can favorably modify HLR and improve clinical outcomes. Conclusions The haptoglobin-to-lactate ratio is a robust, independent prognostic biomarker for 28-day and 90-day mortality in patients with sepsis-induced myocardial injury. Lower HLR values are associated with significantly worse survival, whereas higher ratios confer a protective effect. By integrating information on metabolic stress and host defense against hemoglobin-mediated toxicity, HLR offers a simple and potentially valuable tool for refined risk stratification in the ICU. Declarations Clinical trial number: not applicable. Ethics approval and consent to participate The data used in this study were obtained from the MIMIC-IV database. The establishment of this database was approved by the Institutional Review Boards (IRB) of the Massachusetts Institute of Technology (MIT) and Beth Israel Deaconess Medical Center (BIDMC). All participants in the database were de-identified to protect their privacy, and the requirement for informed consent was waived by the IRB. The study was conducted in accordance with the Declaration of Helsinki. Consent for publication Not applicable. Funding information: Key Discipline Project of Suzhou (szxk202503), and the Fundamental Research Program of Shanxi Province(202303021221249). Author Contribution Chaoyue Yu performed the data analysis and prepared the figures. Chaoyue Yu and Shaobo Cui wrote the manuscript. Dongrong Li, Yinghui Li, Jun Jin, Qi Ding, and Xinjing Yang reviewed the manuscript. All authors read and approved the final manuscript.These authors have contributed equally to this work. Data Availability The data that support the findings of this study are available from the MIMIC-IV database (https://physionet.org/content/mimiciv/). Access to the database requires user certification. Acknowledgements We thank the team of the MIMIC-IV database for their work. References Singer, M. et al. The Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3). JAMA 315 (8), 801–810 (2016). Rudd, K. E. et al. Global, regional, and national sepsis incidence and mortality, 1990–2017: analysis for the Global Burden of Disease Study. Lancet 395 (10219), 200–211 (2020). Beesley, S. J. et al. Septic Cardiomyopathy. Crit. Care Med. 46 (4), 625–634 (2018). Merx, M. W. & Weber, C. Sepsis and the heart. Circulation 116 (7), 793–802 (2007). Frencken, J. F. et al. Myocardial Injury in Patients With Sepsis and Its Association With Long-Term Outcome. Circ. Cardiovasc. 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Biomarkers for sepsis: more than just fever and leukocytosis-a narrative review. Crit. Care . 26 (1), 14 (2022). Valenzuela-Sánchez, F., Valenzuela-Méndez, B., Rodríguez-Gutiérrez, J. F., Estella-García, Á. & González-García, M. Á. New role of biomarkers: mid-regional pro-adrenomedullin, the biomarker of organ failure. Ann. Transl Med. 4 (17), 329 (2016). Ahuja, N., Mishra, A., Gupta, R. & Ray, S. Biomarkers in sepsis-looking for the Holy Grail or chasing a mirage! World J. Crit. Care Med. 12 (4), 188–203 (2023). Schaer, D. J., Vinchi, F., Ingoglia, G., Tolosano, E. & Buehler, P. W. Haptoglobin, hemopexin, and related defense pathways-basic science, clinical perspectives, and drug development. Front. Physiol. 5 , 415 (2014). Maurya, P. K., Kumar, P., Siddiqui, N., Tripathi, P. & Rizvi, S. I. Age-associated changes in erythrocyte glutathione peroxidase activity: correlation with total antioxidant potential. Indian J. Biochem. Biophys. 47 (5), 319–321 (2010). Cecerska-Heryć, E. et al. Activity of erythrocyte antioxidant enzymes in healthy women depends on age, BMI, physical activity, and diet. J. Health Popul. Nutr. 41 (1), 35 (2022). Yadav, S. & Deepika, Maurya, P. K. A Systematic Review of Red Blood Cells Biomarkers in Human Aging. J. Gerontol. Biol. Sci. Med. Sci. 79 (4), glae004 (2024). Vallelian, F., Buehler, P. W. & Schaer, D. J. Hemolysis, free hemoglobin toxicity, and scavenger protein therapeutics. Blood 140 (17), 1837–1844 (2022). Vats, S. et al. Hemoglobin homeostasis in abdominal aortic aneurysm: diagnostic and prognostic potential of hemoglobin/heme and scavenger molecules. BMC Cardiovasc. Disord . 24 (1), 452 (2024). Tajiri, K. & Shimizu, Y. Liver physiology and liver diseases in the elderly. World J. Gastroenterol. 19 (46), 8459–8467 (2013). He, L., Yang, D., Ding, Q., Su, Y. & Ding, N. Association Between Lactate and 28-Day Mortality in Elderly Patients with Sepsis: Results from MIMIC-IV Database. Infect. Dis. Ther. 12 (2), 459–472 (2023). Gharipour, A., Razavi, R., Gharipour, M. & Mukasa, D. Lactate/albumin ratio: An early prognostic marker in critically ill patients. Am. J. Emerg. Med. 38 (10), 2088–2095 (2020). Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-9010547","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":612025818,"identity":"0d6562ca-4dbf-4db8-a393-8b45a8a8d047","order_by":0,"name":"Chaoyue Yu","email":"","orcid":"","institution":"The First Affiliated Hospital of Soochow University","correspondingAuthor":false,"prefix":"","firstName":"Chaoyue","middleName":"","lastName":"Yu","suffix":""},{"id":612025820,"identity":"f70682f7-8ced-4a6c-9a93-099f238a3197","order_by":1,"name":"Shaobo Cui","email":"","orcid":"","institution":"Jincheng General Hospital","correspondingAuthor":false,"prefix":"","firstName":"Shaobo","middleName":"","lastName":"Cui","suffix":""},{"id":612025821,"identity":"35e8e1d9-06d1-4528-bfc1-2c6dc5e2b451","order_by":2,"name":"Dongrong Li","email":"","orcid":"","institution":"The First Affiliated Hospital of Soochow University","correspondingAuthor":false,"prefix":"","firstName":"Dongrong","middleName":"","lastName":"Li","suffix":""},{"id":612025823,"identity":"6891aa21-6086-4a3a-a179-f956a8e41449","order_by":3,"name":"Yinghui Li","email":"","orcid":"","institution":"The First Affiliated Hospital of Soochow University","correspondingAuthor":false,"prefix":"","firstName":"Yinghui","middleName":"","lastName":"Li","suffix":""},{"id":612025825,"identity":"d022c7a7-39bc-47c9-91fe-995d41049c33","order_by":4,"name":"Jun Jin","email":"","orcid":"","institution":"The First Affiliated Hospital of Soochow University","correspondingAuthor":false,"prefix":"","firstName":"Jun","middleName":"","lastName":"Jin","suffix":""},{"id":612025829,"identity":"f1bfb421-1c8c-4dc8-b016-e597b7daff8c","order_by":5,"name":"Qi Ding","email":"","orcid":"","institution":"The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital","correspondingAuthor":false,"prefix":"","firstName":"Qi","middleName":"","lastName":"Ding","suffix":""},{"id":612025830,"identity":"e6b42b56-6405-4f8b-aad8-6af2722a37ea","order_by":6,"name":"Xinjing Yang","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA8ElEQVRIiWNgGAWjYNACAwZmNjCjQkJOnkQtZyyMDRtIso2xrSKR4QAh84+fPfyap+AOO590++WPP+dJJDA2MD98dAOfljN5aZYzDJ4xs8mcKZOQ3CaRx87AZmycg0/LgRwzgw8Gh5nZJHLSGAy3SRQzNvCwSePVcv6NmUECREvyh8Q5EokNBwhpuZFj/ABiS/oBiYMNRGiRvPHGjHEGxBY2yYZjEsaGzQT8wnc+x/gzz5/DyfIz0h9//FFTJyfP3vzwMT4tCgcY2CSAdDIDA48BRIgZj3IQkG9gYP4ApO0YGNgfEFA7CkbBKBgFIxUAADsASrBdkLqTAAAAAElFTkSuQmCC","orcid":"","institution":"The First Affiliated Hospital of Soochow University","correspondingAuthor":true,"prefix":"","firstName":"Xinjing","middleName":"","lastName":"Yang","suffix":""}],"badges":[],"createdAt":"2026-03-02 13:09:57","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-9010547/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-9010547/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":105538955,"identity":"8f0d65e5-1050-4c55-bead-f026849b2a4f","added_by":"auto","created_at":"2026-03-27 07:48:22","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":72394,"visible":true,"origin":"","legend":"\u003cp\u003eSelection of the study population from the MIMIC-IV database\u003c/p\u003e","description":"","filename":"1.png","url":"https://assets-eu.researchsquare.com/files/rs-9010547/v1/c4338dc5f9be1aec2a5a297b.png"},{"id":105538956,"identity":"230b0143-713b-4c77-88af-b98fb2cf22e9","added_by":"auto","created_at":"2026-03-27 07:48:22","extension":"png","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":142357,"visible":true,"origin":"","legend":"\u003cp\u003eLegend not included with this version.\u003c/p\u003e","description":"","filename":"2.png","url":"https://assets-eu.researchsquare.com/files/rs-9010547/v1/d53a9aee23a0aa670e1038fd.png"},{"id":105538957,"identity":"0bf6bb65-c156-42de-8903-e8c72a5d293d","added_by":"auto","created_at":"2026-03-27 07:48:22","extension":"png","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":114596,"visible":true,"origin":"","legend":"\u003cp\u003eLegend not included with this version.\u003c/p\u003e","description":"","filename":"3.png","url":"https://assets-eu.researchsquare.com/files/rs-9010547/v1/82d143a9a967fb9529b6a31b.png"},{"id":105566987,"identity":"e568b8fc-0adb-4e9b-8027-6e44847da336","added_by":"auto","created_at":"2026-03-27 12:57:56","extension":"png","order_by":4,"title":"Figure 4","display":"","copyAsset":false,"role":"figure","size":247983,"visible":true,"origin":"","legend":"\u003cp\u003eLegend not included with this version.\u003c/p\u003e","description":"","filename":"4.png","url":"https://assets-eu.researchsquare.com/files/rs-9010547/v1/48d18d47be9071297bbf5c27.png"},{"id":105566833,"identity":"4f09363c-47bc-4908-a877-6f2f2f8f0690","added_by":"auto","created_at":"2026-03-27 12:57:29","extension":"png","order_by":5,"title":"Figure 5","display":"","copyAsset":false,"role":"figure","size":312993,"visible":true,"origin":"","legend":"\u003cp\u003eSubgroup forest plots for 28-day all-cause mortality. Adjusted for age, gender, CKD,Diabetes,.HLR: the Quartile1 (0.18 ≤ HLR ≤ 19.71, N=153), the Quartile2 (20.00 ≤ HLR ≤ 57.32, N=152), the Quartile3 (60.00 ≤ HLR ≤ 136.25, N=152), and the Quartile4 (136.36 ≤ HLR ≤ 716.00, N=152)..HR hazard rati o, CI confidence interval\u003c/p\u003e","description":"","filename":"5.png","url":"https://assets-eu.researchsquare.com/files/rs-9010547/v1/f24447803fb5da3b89d54e2c.png"},{"id":105538960,"identity":"b7120f1d-3afd-4739-a6b9-834a055e2fdb","added_by":"auto","created_at":"2026-03-27 07:48:22","extension":"png","order_by":6,"title":"Figure 6","display":"","copyAsset":false,"role":"figure","size":269700,"visible":true,"origin":"","legend":"\u003cp\u003eSubgroup forest plots for 90-day all-cause mortality. Adjusted for age, gender, CKD,Diabetes,.HLR: the Quartile1 (0.18 ≤ Hp/LA ≤ 19.71, N=153), the Quartile2 (20.00 ≤ Hp/LA ≤ 57.32, N=152), the Quartile3 (60.00 ≤ Hp/LA ≤ 136.25, N=152), and the Quartile4 (136.36 ≤ Hp/LA ≤ 716.00, N=152)..HR hazard rati o, CI confidence interval\u003c/p\u003e","description":"","filename":"6.png","url":"https://assets-eu.researchsquare.com/files/rs-9010547/v1/848ced584a7e94260cf406f7.png"},{"id":106492678,"identity":"d6dd6cfc-a288-44f1-be98-def6a8afbf44","added_by":"auto","created_at":"2026-04-09 07:42:50","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":2089002,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-9010547/v1/ffaf71d7-fb0e-401e-9fb2-9a12f9bbd9b4.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"\u003cp\u003ePredictive value of the haptoglobin-to-lactate ratio for mortality in patients with sepsis-associated myocardial injury: a retrospective cohort study\u003c/p\u003e","fulltext":[{"header":"Introduction","content":"\u003cp\u003eSepsis remains a leading cause of morbidity and mortality in intensive care units (ICUs) worldwide and is defined as life-threatening organ dysfunction caused by a dysregulated host response to infection\u003csup\u003e[\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e][\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e]\u003c/sup\u003e. Among the multiple organ dysfunctions associated with sepsis, sepsis-induced myocardial injury (SIMI) is particularly concerning. SIMI is characterized by reversible myocardial depression and elevated cardiac biomarkers, such as troponin, in the absence of acute coronary syndrome\u003csup\u003e[\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e][\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e]\u003c/sup\u003e. It has been reported that SIMI occurs in 30\u0026ndash;50% of patients with sepsis and is independently associated with a significantly increased risk of death\u003csup\u003e[\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e][\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e]\u003c/sup\u003e. Therefore, early and accurate risk stratification in this population is essential to guide clinical decision-making.\u003c/p\u003e \u003cp\u003eHaptoglobin (Hp) is an acute-phase plasma protein that binds free hemoglobin (Hb), thereby reducing Hb-induced oxidative damage. Clinical data have shown that higher serum Hp levels are associated with lower 28-day mortality in patients with septic shock, suggesting a potential protective role\u003csup\u003e[\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e]\u003c/sup\u003e. Recent studies have further demonstrated that terminal fucosylation of Hp (Fu-Hp) at Asn207 and Asn211 is significantly elevated in the plasma of patients with sepsis. Fu-Hp can interact with macrophage C-type lectin receptors such as Mincle (CLEC4E), activating the NF-κB and MAPK pathways and inducing the release of pro-inflammatory cytokines (e.g., IL-1β, IL-6, TNF-α), as well as activating the NLRP3 inflammasome\u003csup\u003e[\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e]\u003c/sup\u003e.Hp is synthesized and degraded primarily in the liver, its expression is regulated by inflammation, and its plasma levels have been used as a biomarker for tissue damage and infection\u003csup\u003e[\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e]\u003c/sup\u003e.\u003c/p\u003e \u003cp\u003eLactate is a sensitive indicator of metabolic stress and circulatory decompensation. In sepsis, pro-inflammatory cytokines such as IL-1β promote lactate production by inducing a shift toward aerobic glycolysis; elevated lactate levels therefore are not solely due to tissue hypoxia\u003csup\u003e[\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e]\u003c/sup\u003e.Moreover, lactate itself may modulate immune responses by acting via lactate transporters and epigenetic mechanisms to influence immune cell function\u003csup\u003e[\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e]\u003c/sup\u003e. Thus, lactate integrates both hemodynamic and immunometabolic derangements in sepsis.\u003c/p\u003e \u003cp\u003eTo date, no study has systematically investigated the prognostic value of the haptoglobin-to-lactate ratio (HLR) in patients with SIMI. We hypothesized that the HLR, which combines an index of antioxidative and hemoglobin-scavenging capacity (Hp) with a marker of metabolic stress (lactate), may provide superior prognostic information compared with either parameter alone. Using data from the large, publicly available MIMIC-IV database, this study aimed to evaluate whether the HLR is associated with short- and long-term mortality and to determine its potential role in risk stratification among patients with sepsis-induced myocardial injury.\u003c/p\u003e"},{"header":"Methods","content":"\u003cdiv id=\"Sec3\" class=\"Section2\"\u003e \u003ch2\u003eData Source\u003c/h2\u003e \u003cp\u003eThis retrospective cohort study was conducted using data from the Medical Information Mart for Intensive Care IV (MIMIC-IV, version 3.1) database. MIMIC-IV contains comprehensive, de-identified health-related data for patients admitted to the ICUs of Beth Israel Deaconess Medical Center in Boston, USA\u003csup\u003e[\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e]\u003c/sup\u003e.The use of MIMIC-IV has been approved by the institutional review boards of the Massachusetts Institute of Technology and Beth Israel Deaconess Medical Center, and the requirement for individual informed consent was waived because all data are de-identified. The authors completed the required training and obtained access to the database prior to data extraction(record number:72371138).\u003c/p\u003e \u003c/div\u003e\n\u003ch3\u003eStudy Population\u003c/h3\u003e\n\u003cp\u003eWe initially identified all adult patients (aged\u0026thinsp;\u0026ge;\u0026thinsp;18 years) who were admitted to the ICU and met the Sepsis-3 criteria (suspected or documented infection plus an acute increase in SOFA score\u0026thinsp;\u0026ge;\u0026thinsp;2) in the MIMIC-IV database. A total of 41,295 ICU admissions with sepsis were screened. The patient selection process was as follows: (1) patients younger than 18 years were excluded; (2) patients with an ICU length of stay less than 24 hours were excluded; (3) patients with missing measurements of either serum lactate or haptoglobin on the first day of ICU admission were excluded; (4) non-first ICU admissions for the same patient were excluded; and (5) patients with a history of heart failure, myocardial infarction, chronic obstructive pulmonary disease, or acute myocarditis were excluded. After these exclusions, 1,272 adult patients with sepsis and complete Hp and lactate data were included in the cohort.\u003c/p\u003e\n\u003ch3\u003eDefinition of Sepsis-Induced Myocardial Injury\u003c/h3\u003e\n\u003cp\u003eSepsis-induced myocardial injury (SIMI) was defined as an elevated serum troponin T concentration\u0026thinsp;\u0026gt;\u0026thinsp;0.01 ng/mL within the first 24 hours of ICU admission, in the absence of acute coronary syndrome or other non-septic causes of myocardial injury\u003csup\u003e[\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e]\u003c/sup\u003e. According to troponin T measurements and values, patients were categorized as follows: (1) troponin T not measured (n\u0026thinsp;=\u0026thinsp;644); (2) troponin T\u0026thinsp;\u0026le;\u0026thinsp;0.01 ng/mL (n\u0026thinsp;=\u0026thinsp;19); and (3) troponin T\u0026thinsp;\u0026gt;\u0026thinsp;0.01 ng/mL, fulfilling the definition of SIMI (n\u0026thinsp;=\u0026thinsp;609). The primary analytical sample for this study consisted of the 609 patients with SIMI.\u003c/p\u003e\n\u003ch3\u003eExposure: Haptoglobin-to-Lactate Ratio\u003c/h3\u003e\n\u003cp\u003eThe primary exposure of interest was the haptoglobin-to-lactate ratio (HLR). Haptoglobin (Hp) and serum lactate were both measured within the first 24 hours of ICU admission. The HLR was calculated as Hp (mg/dL) divided by lactate (mmol/L). Patients with SIMI were further stratified into quartiles according to HLR values: Q1 (0.18\u0026thinsp;\u0026le;\u0026thinsp;HLR\u0026thinsp;\u0026le;\u0026thinsp;19.71, n\u0026thinsp;=\u0026thinsp;153), Q2 (20.00\u0026thinsp;\u0026le;\u0026thinsp;HLR\u0026thinsp;\u0026le;\u0026thinsp;57.32, n\u0026thinsp;=\u0026thinsp;152), Q3 (60.00\u0026thinsp;\u0026le;\u0026thinsp;HLR\u0026thinsp;\u0026le;\u0026thinsp;136.25, n\u0026thinsp;=\u0026thinsp;152), and Q4 (136.36\u0026thinsp;\u0026le;\u0026thinsp;HLR\u0026thinsp;\u0026le;\u0026thinsp;716.00, n\u0026thinsp;=\u0026thinsp;152).\u003c/p\u003e\n\u003ch3\u003eOutcomes\u003c/h3\u003e\n\u003cp\u003eThe primary outcomes were 28-day and 90-day all-cause mortality after ICU admission. Mortality status and dates of death were obtained from in-hospital records and linked long-term follow-up data in MIMIC-IV.\u003c/p\u003e \u003cp\u003e \u003cp\u003e\u003cimg 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\" style=\"width: 506px;\"\u003e\u003c/p\u003e\n\u003c/p\u003e \u003cdiv id=\"Sec8\" class=\"Section2\"\u003e \u003ch2\u003eCovariates\u003c/h2\u003e \u003cp\u003eBaseline variables extracted from the database included demographics (Age, Gender), vital signs, comorbidities (e.g., Diabetes, Chronic Kidney Disease (CKD)), laboratory parameters (Albumin, Creatinine, Glucose, Hemoglobin, Platelet count, activated partial thromboplastin time (APTT), white blood cell count(WBC), peak troponin T, and severity scores (SOFA). Therapeutic interventions recorded during the first 24 hours included the use of Mechanical Ventilation, Vasopressors, and continuous renal replacement therapy (CRRT).\u003c/p\u003e \u003c/div\u003e\n\u003ch3\u003eHandling of Missing Data\u003c/h3\u003e\n\u003cp\u003ePrior to analysis, the extent of missing data for all baseline variables was evaluated. Variables with more than 20% missingness were excluded to ensure data quality. For variables with less than 20% missingness, missing values were assumed to be missing at random. Multiple imputation by chained equations (MICE) was performed using the mice package in R. Five imputed datasets were generated using predictive mean matching for continuous variables to preserve the original data distribution. Regression analyses were conducted separately in each imputed dataset, and results were pooled according to Rubin\u0026rsquo;s rules. Multicollinearity among covariates was assessed using the variance inflation factor (VIF), and variables with VIF\u0026thinsp;\u0026gt;\u0026thinsp;5 were removed from the final models.\u003c/p\u003e \u003cdiv id=\"Sec10\" class=\"Section2\"\u003e \u003ch2\u003eStatistical Analysis\u003c/h2\u003e \u003cp\u003eContinuous variables were expressed as mean\u0026thinsp;\u0026plusmn;\u0026thinsp;standard deviation (SD) or median (interquartile range [IQR]), as appropriate, and compared across HLR quartiles using one-way analysis of variance (ANOVA) or the Kruskal\u0026ndash;Wallis test. Categorical variables were presented as counts (percentages) and compared using the chi-square test. Kaplan\u0026ndash;Meier survival curves were constructed for 28-day and 90-day mortality according to HLR quartiles, and differences were assessed using the log-rank test.\u003c/p\u003e \u003cp\u003eCox proportional hazards regression models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for the association between HLR and mortality. Three models were constructed: Model 1 was unadjusted; Model 2 was adjusted for age; and Model 3 was further adjusted for age, sex, CKD, SOFA score, CRRT, hemoglobin, platelet count, APTT, glucose, and vasopressor use. HLR was analyzed both as a categorical variable (quartiles) and as a continuous variable. Restricted cubic spline (RCS) functions with four knots at the 5th, 35th, 65th, and 95th percentiles of the HLR distribution were used to evaluate potential non-linear relationships between HLR and mortality risk. Subgroup analyses were performed according to age, sex, and CKD status, and multiplicative interactions were tested by including product terms in the Cox models. A two-sided \u003cem\u003eP\u003c/em\u003e-value\u0026thinsp;\u0026lt;\u0026thinsp;0.05 was considered statistically significant.\u003c/p\u003e \u003c/div\u003e"},{"header":"Results","content":"\u003cdiv id=\"Sec12\" class=\"Section2\"\u003e\n \u003ch2\u003eBaseline Characteristics\u003c/h2\u003e\n \u003cp\u003eA total of 609 patients with sepsis-induced myocardial injury were included in the final analysis. The flowchart of patient selection from the MIMIC-IV database is shown in Fig.\u0026nbsp;\u003cspan class=\"InternalRef\"\u003e1\u003c/span\u003e. Baseline demographic characteristics, comorbidities, laboratory findings, and clinical outcomes stratified by HLR quartiles are summarized in Table\u0026nbsp;1. Among the included patients, 357 (58.6%) were male, 95 (15.6%) had diabetes mellitus, and 222 (36.4%) had CKD. Vasopressors were administered to 479 (78.7%) patients, and 570 (93.6%) required mechanical ventilation.\u003c/p\u003e\n \u003cp\u003ePatients were categorized into four HLR quartiles: Q1 (0.18\u0026thinsp;\u0026le;\u0026thinsp;HLR\u0026thinsp;\u0026le;\u0026thinsp;19.71, n\u0026thinsp;=\u0026thinsp;153), Q2 (20.00\u0026thinsp;\u0026le;\u0026thinsp;HLR\u0026thinsp;\u0026le;\u0026thinsp;57.32, n\u0026thinsp;=\u0026thinsp;152), Q3 (60.00\u0026thinsp;\u0026le;\u0026thinsp;HLR\u0026thinsp;\u0026le;\u0026thinsp;136.25, n\u0026thinsp;=\u0026thinsp;152), and Q4 (136.36\u0026thinsp;\u0026le;\u0026thinsp;HLR\u0026thinsp;\u0026le;\u0026thinsp;716.00, n\u0026thinsp;=\u0026thinsp;152). Compared with patients in the highest quartile (Q4), those in lower quartiles (Q1\u0026ndash;Q3) generally had higher SOFA scores, higher lactate levels, increased white blood cell counts, prolonged APTT, and higher peak troponin T levels. In contrast, platelet counts and Hp concentrations were higher in the Q4 group. Both 28-day and 90-day mortality rates were significantly lower in Q4 than in the lower quartiles, particularly Q1 (\u003cem\u003eP\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.05).\u003c/p\u003e\n \u003cp\u003e\u003cimg 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\"\u003e\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec13\" class=\"Section2\"\u003e\n \u003ch2\u003eAssociation Between HLR and Mortality\u003c/h2\u003e\n \u003cp\u003eKaplan\u0026ndash;Meier survival curves revealed a clear gradient of risk across HLR quartiles for both 28-day and 90-day mortality, with patients in Q4 exhibiting the highest survival probability and those in Q1 the lowest (log-rank \u003cem\u003eP\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.001 for both endpoints).\u003c/p\u003e\n \u003cp\u003eIn Cox regression analyses, using Q1 as the reference category, higher HLR quartiles were associated with progressively lower mortality. In the fully adjusted Model 3, patients in Q4 had a significantly reduced risk of 28-day mortality compared with Q1 (adjusted HR 0.63, 95% CI 0.43\u0026ndash;0.95, \u003cem\u003eP\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.025). Similarly, for 90-day mortality, Q4 was independently associated with improved survival (adjusted HR 0.67, 95% CI 0.46\u0026ndash;0.96, \u003cem\u003eP\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.027). Q2 and Q3 also demonstrated trends toward lower mortality, although the protective effect was greatest in Q4.\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003cimg 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\"\u003e\u003c/p\u003e\n \u003cp\u003eCrudemodel:Unadjusted;Model1:AdjustedAge;Model2:AdjustedAge,Gender,CKD,Sofa,CRRT,Hemoglobin,Platelet,APTT,Glucose,Vasopressor.\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec14\" class=\"Section2\"\u003e\n \u003ch2\u003eNon-linear Relationship Between HLR and Mortality\u003c/h2\u003e\n \u003cp\u003eTo visually assess the non-linear dose-response relationship between the HLR and the risk of mortality, we utilized restricted cubic spline (RCS) models based on logistic regression. The model was fitted using the rms package in R. We placed 4 knots at the 5th, 35th, 65th, and 95th percentiles of the HLR distribution to effectively capture the potential non-linear shape. The reference value was set at the median (or the first quartile) of the HLR. A test for non-linearity was performed by assessing the significance of the non-linear terms (\u003cem\u003eP\u003c/em\u003e for non-linearity). Furthermore, we calculated the optimal cutoff value (breakpoint) where the protective association significantly plateaued or changed trajectory, based on the shape of the spline curve.\u003c/p\u003e\n \u003cul\u003e\n \u003cli\u003e\n \u003cp\u003e28-day Mortality: The risk of death decreased sharply as the HLR increased, plateauing after a breakpoint of 7.864 (95% CI: 2\u0026ndash;8.114).\u003c/p\u003e\n \u003c/li\u003e\n \u003cli\u003e\n \u003cp\u003e90-day Mortality: A similar L-shaped curve was observed, with a best breakpoint calculated at 2.125 (95% CI: 2\u0026ndash;8.114). This suggests that maintaining an HLR above these thresholds is critical for survival.\u003c/p\u003e\n \u003c/li\u003e\n \u003c/ul\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec15\" class=\"Section2\"\u003e\n \u003ch2\u003eSubgroup Analyses\u003c/h2\u003e\n \u003cp\u003eSubgroup analyses for 90-day mortality showed that the inverse association between higher HLR and mortality was generally consistent across sex and CKD subgroups (\u003cem\u003eP\u003c/em\u003e for interaction\u0026thinsp;\u0026gt;\u0026thinsp;0.05 for both). However, a significant interaction was observed for age (P for interaction\u0026thinsp;=\u0026thinsp;0.035). In patients aged\u0026thinsp;\u0026ge;\u0026thinsp;65 years, the protective effect of higher HLR was particularly pronounced; in this group, Q4 was associated with a substantially reduced risk of death (HR 0.35, 95% CI 0.23\u0026ndash;0.54). Forest plots of subgroup analyses for 28-day and 90-day mortality are presented in Figs. \u003cspan class=\"InternalRef\"\u003e5\u003c/span\u003e and \u003cspan class=\"InternalRef\"\u003e6\u003c/span\u003e.\u003c/p\u003e\n\u003c/div\u003e"},{"header":"Discussion","content":"\u003cp\u003eIn this large, retrospective cohort study based on the MIMIC-IV database, we demonstrated for the first time that the haptoglobin-to-lactate ratio is a strong and independent predictor of both short- and long-term mortality in patients with sepsis-induced myocardial injury. Lower HLR values were associated with substantially higher 28-day and 90-day mortality, and RCS analysis revealed a distinct L-shaped relationship, indicating that mortality risk increases steeply below specific HLR thresholds.\u003c/p\u003e \u003cp\u003eThe L-shaped relationship identified in our RCS analysis merits specific clinical consideration. This curve implies a \"threshold effect\" rather than a linear dose-response. The steep escalation in mortality risk below the inflection point (HLR\u0026thinsp;\u0026lt;\u0026thinsp;7.864 for 28-day mortality) likely signifies the complete saturation of the reticuloendothelial system's scavenging capacity [47]. Above this threshold, sufficient physiological reserve exists to neutralize cell-free hemoglobin, resulting in a plateau of risk. This distinct breakpoint offers a concrete warning threshold for clinicians: patients dropping below this critical ratio have likely exhausted their compensatory mechanisms and entered a phase of unmitigated metabolic and cytotoxic stress \u003csup\u003e[\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e]\u003c/sup\u003e.\u003c/p\u003e \u003cp\u003eMechanistically, a low HLR likely reflects the convergence of two detrimental processes: impaired antioxidative and hemoglobin-scavenging capacity (low Hp) and heightened metabolic stress (high lactate). In sepsis, hyperlactatemia is a composite marker of tissue hypoperfusion, mitochondrial dysfunction, and adrenergic stimulation, and is closely linked to adverse outcomes and myocardial dysfunction\u003csup\u003e[\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e][\u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e]\u003c/sup\u003e. Concurrently, sepsis is frequently accompanied by intravascular hemolysis, leading to the release of cell-free hemoglobin (CFH) and heme, which promote oxidative stress, vasoconstriction, endothelial injury, and organ dysfunction\u003csup\u003e[\u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e][\u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e][\u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e][\u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e][\u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e]\u003c/sup\u003e. Biologically, the poor prognosis associated with a low HLR may stem from the direct cardiotoxicity of intravascular hemolysis. As haptoglobin reserves fail, accumulating cell-free hemoglobin scavenges nitric oxide (NO) within the vasculature, triggering severe systemic and coronary vasoconstriction\u003csup\u003e[\u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e]\u003c/sup\u003e. This loss of NO compromises microcirculatory flow and increases cardiac afterload, potentially worsening myocardial ischemia even without overt shock\u003csup\u003e[\u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e]\u003c/sup\u003e. Beyond the hemodynamic sequelae of nitric oxide scavenging, haptoglobin depletion may directly precipitate myocardial cellular injury via ferroptosis \u003csup\u003e[\u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e24\u003c/span\u003e]\u003c/sup\u003e. When haptoglobin reserves are exhausted, free heme accumulates and translocates into cardiomyocytes. Heme acts as a potent pro-oxidant, catalyzing the Fenton reaction to generate hydroxyl radicals and drive lipid peroxidation of mitochondrial membranes\u003csup\u003e[\u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e]\u003c/sup\u003e. Recent evidence suggests the heart is uniquely susceptible to this heme-driven ferroptosis during sepsis, as cardiomyocytes possess lower intrinsic antioxidative capacity compared to hepatocytes\u003csup\u003e[\u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e26\u003c/span\u003e]\u003c/sup\u003e. Thus, a suppressed HLR not only reflects systemic ischemia but serves as a circulating proxy for the specific risk of myocardial iron toxicity and mitochondrial collapse.Parallel to this, the lactate component of HLR signals mitochondrial distress. In septic cardiomyopathy, cardiomyocytes undergo profound metabolic reprogramming and mitochondrial suppression, which can blunt contractility regardless of oxygen supply\u003csup\u003e[\u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e27\u003c/span\u003e]\u003c/sup\u003e. Hp is the principal intravascular scavenger of CFH, forming Hp\u0026ndash;Hb complexes that facilitate clearance via CD163-expressing macrophages and mitigate hemoglobin-mediated toxicity\u003csup\u003e[\u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e][\u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e28\u003c/span\u003e][\u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e29\u003c/span\u003e]\u003c/sup\u003e.Low Hp concentrations in this context indicate an overwhelmed scavenger system and are associated with greater CFH burden and worse clinical outcomes\u003csup\u003e[\u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e][\u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e][\u003cspan citationid=\"CR30\" class=\"CitationRef\"\u003e30\u003c/span\u003e]\u003c/sup\u003e.Therefore, a low HLR signals a \u0026ldquo;double hit\u0026rdquo; of severe metabolic derangement and inadequate antioxidative defense, which may be particularly deleterious for myocardial tissue.\u003c/p\u003e \u003cp\u003eOur findings also resonate with the growing interest in composite biomarker ratios in sepsis. Ratios such as the lactate/albumin ratio (LAR) have been shown to outperform lactate alone for mortality prediction in sepsis and septic shock, likely because they integrate multiple pathophysiological domains into a single index\u003csup\u003e[\u003cspan citationid=\"CR31\" class=\"CitationRef\"\u003e31\u003c/span\u003e][\u003cspan citationid=\"CR32\" class=\"CitationRef\"\u003e32\u003c/span\u003e]\u003c/sup\u003e.The HLR follows a similar conceptual framework. Compared with albumin, Hp is more specifically linked to the hemolysis and oxidative stress pathway, whereas albumin is a general negative acute-phase reactant influenced by inflammation, capillary leak, hepatic function, and nutritional status\u003csup\u003e[\u003cspan citationid=\"CR33\" class=\"CitationRef\"\u003e33\u003c/span\u003e][\u003cspan citationid=\"CR34\" class=\"CitationRef\"\u003e34\u003c/span\u003e][\u003cspan citationid=\"CR35\" class=\"CitationRef\"\u003e35\u003c/span\u003e]\u003c/sup\u003e. Although cardiac troponin remains the diagnostic cornerstone for myocardial injury, its prognostic precision in sepsis is frequently clouded by issues like reduced renal clearance or non-ischemic leakage. HLR offers a different perspective by integrating two upstream drivers of injury: hemolytic oxidative stress and metabolic failure. Rather than merely reflecting established cellular damage, this ratio captures the ongoing systemic toxicity burden, potentially providing a more dynamic gauge of physiological reserve than static biomarkers alone\u003csup\u003e[\u003cspan citationid=\"CR36\" class=\"CitationRef\"\u003e36\u003c/span\u003e]\u003c/sup\u003e.In our cohort, HLR remained significantly associated with mortality after adjustment for SOFA score and other confounders, suggesting that it captures unique information not fully reflected in conventional organ failure scores. From a translational perspective, the clinical utility of HLR lies in its pragmatic accessibility. While novel biomarkers for sepsis, such as mid-regional pro-adrenomedullin (MR-proADM) or soluble urokinase plasminogen activator receptor (suPAR), show promise, their high cost and limited availability restrict routine implementation in resource-limited settings\u003csup\u003e[\u003cspan citationid=\"CR37\" class=\"CitationRef\"\u003e37\u003c/span\u003e][\u003cspan citationid=\"CR38\" class=\"CitationRef\"\u003e38\u003c/span\u003e]\u003c/sup\u003e. In contrast, haptoglobin and lactate are standard components of admission panels in most intensive care units. The robust prognostic signal of HLR suggests it could function as a rapid \"bedside triage\" tool. Identifying patients with a disproportionately low HLR upon admission could trigger earlier, more aggressive hemodynamic monitoring or adjunctive therapies aimed at mitigating hemolysis \u003csup\u003e[\u003cspan citationid=\"CR39\" class=\"CitationRef\"\u003e39\u003c/span\u003e]\u003c/sup\u003e.\u003c/p\u003e \u003cp\u003eThe observed interaction between age and HLR provides additional mechanistic insight. With advancing age, red blood cells accumulate oxidative damage and exhibit impaired antioxidant enzyme activity and increased membrane fragility, which may promote subclinical hemolysis and greater fluctuations in circulating CFH\u003csup\u003e[\u003cspan citationid=\"CR40\" class=\"CitationRef\"\u003e40\u003c/span\u003e][\u003cspan citationid=\"CR41\" class=\"CitationRef\"\u003e41\u003c/span\u003e][\u003cspan citationid=\"CR42\" class=\"CitationRef\"\u003e42\u003c/span\u003e]\u003c/sup\u003e.Haptoglobin plays a central protective role in hemolytic and septic states, and an increased hemolytic burden or diminished Hp reserve in older individuals may amplify the prognostic signal carried by HLR\u003csup\u003e[\u003cspan citationid=\"CR43\" class=\"CitationRef\"\u003e43\u003c/span\u003e][\u003cspan citationid=\"CR44\" class=\"CitationRef\"\u003e44\u003c/span\u003e]\u003c/sup\u003e.Aging is also associated with reduced liver mass and blood flow and diminished hepatic functional reserve, potentially impairing both Hp synthesis and lactate clearance\u003csup\u003e[\u003cspan citationid=\"CR45\" class=\"CitationRef\"\u003e45\u003c/span\u003e]\u003c/sup\u003e. Consistent with this framework, previous studies in elderly or metabolically fragile critically ill populations have shown that lactate and lactate-based indices, such as the lactate/albumin ratio, carry strong prognostic information, especially in the setting of hepatic or renal dysfunction\u003csup\u003e[\u003cspan citationid=\"CR46\" class=\"CitationRef\"\u003e46\u003c/span\u003e][\u003cspan citationid=\"CR47\" class=\"CitationRef\"\u003e47\u003c/span\u003e]\u003c/sup\u003e. These mechanisms may help explain why the association between HLR and mortality was more prominent in older patients in our study, although this interaction remains exploratory and should be confirmed in external cohorts.\u003c/p\u003e \u003cp\u003eThis study has several strengths. First, we leveraged a large, high-quality, publicly available critical care database with detailed clinical and laboratory data. Second, we performed comprehensive adjustment for potential confounders and used advanced statistical techniques, including multiple imputation for missing data and RCS modelling to explore non-linear relationships. Third, we conducted subgroup and interaction analyses to examine the robustness and generalizability of the findings across clinically relevant strata.\u003c/p\u003e \u003cp\u003eSeveral limitations should also be acknowledged. Due to the retrospective observational design, residual confounding cannot be fully excluded despite extensive adjustment. External validation in independent datasets is lacking, and our findings may not be generalizable to populations or settings where Hp and lactate are not routinely measured. Additionally, the requirement for concurrent measurements of Hp and lactate on ICU admission may have introduced selection bias. Finally, there is no universally accepted diagnostic standard for sepsis-induced myocardial injury; troponin T is highly sensitive but not specific for SIMI, and some degree of misclassification is possible.\u003c/p\u003e \u003cdiv id=\"Sec17\" class=\"Section2\"\u003e \u003ch2\u003eImplications and Future Directions\u003c/h2\u003e \u003cp\u003eOur findings suggest that the HLR is a promising, readily available biomarker for risk stratification in patients with sepsis-induced myocardial injury. Because Hp and lactate are routinely measured in many ICUs, the HLR can be calculated at minimal additional cost and may complement existing severity scores such as SOFA. Future studies should aim to (i) validate the prognostic value and optimal thresholds of HLR in independent multicenter cohorts; (ii) evaluate its incremental predictive performance over established risk models; (iii) characterize dynamic changes in HLR during the ICU stay; and (iv) explore whether therapeutic interventions targeting hemolysis, oxidative stress, or tissue perfusion can favorably modify HLR and improve clinical outcomes.\u003c/p\u003e \u003c/div\u003e"},{"header":"Conclusions","content":"\u003cp\u003eThe haptoglobin-to-lactate ratio is a robust, independent prognostic biomarker for 28-day and 90-day mortality in patients with sepsis-induced myocardial injury. Lower HLR values are associated with significantly worse survival, whereas higher ratios confer a protective effect. By integrating information on metabolic stress and host defense against hemoglobin-mediated toxicity, HLR offers a simple and potentially valuable tool for refined risk stratification in the ICU.\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003eClinical trial number: not applicable.\u003c/p\u003e \u003cp\u003e \u003cstrong\u003eEthics approval and consent to participate\u003c/strong\u003e \u003cp\u003eThe data used in this study were obtained from the MIMIC-IV database. The establishment of this database was approved by the Institutional Review Boards (IRB) of the Massachusetts Institute of Technology (MIT) and Beth Israel Deaconess Medical Center (BIDMC). All participants in the database were de-identified to protect their privacy, and the requirement for informed consent was waived by the IRB. The study was conducted in accordance with the Declaration of Helsinki.\u003c/p\u003e \u003c/p\u003e \u003cp\u003e \u003cstrong\u003eConsent for publication\u003c/strong\u003e \u003cp\u003eNot applicable.\u003c/p\u003e \u003c/p\u003e\u003ch2\u003eFunding information:\u003c/h2\u003e \u003cp\u003eKey Discipline Project of Suzhou (szxk202503), and the Fundamental Research Program of Shanxi Province(202303021221249).\u003c/p\u003e\u003ch2\u003eAuthor Contribution\u003c/h2\u003e\u003cp\u003eChaoyue Yu performed the data analysis and prepared the figures. Chaoyue Yu and Shaobo Cui wrote the manuscript. Dongrong Li, Yinghui Li, Jun Jin, Qi Ding, and Xinjing Yang reviewed the manuscript. All authors read and approved the final manuscript.These authors have contributed equally to this work.\u003c/p\u003e\u003ch2\u003eData Availability\u003c/h2\u003e\u003cp\u003eThe data that support the findings of this study are available from the MIMIC-IV database (https://physionet.org/content/mimiciv/). 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Hemoglobin homeostasis in abdominal aortic aneurysm: diagnostic and prognostic potential of hemoglobin/heme and scavenger molecules. \u003cem\u003eBMC Cardiovasc. Disord\u003c/em\u003e. \u003cb\u003e24\u003c/b\u003e (1), 452 (2024).\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eTajiri, K. \u0026amp; Shimizu, Y. Liver physiology and liver diseases in the elderly. \u003cem\u003eWorld J. Gastroenterol.\u003c/em\u003e \u003cb\u003e19\u003c/b\u003e (46), 8459\u0026ndash;8467 (2013).\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eHe, L., Yang, D., Ding, Q., Su, Y. \u0026amp; Ding, N. Association Between Lactate and 28-Day Mortality in Elderly Patients with Sepsis: Results from MIMIC-IV Database. \u003cem\u003eInfect. Dis. Ther.\u003c/em\u003e \u003cb\u003e12\u003c/b\u003e (2), 459\u0026ndash;472 (2023).\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eGharipour, A., Razavi, R., Gharipour, M. \u0026amp; Mukasa, D. Lactate/albumin ratio: An early prognostic marker in critically ill patients. \u003cem\u003eAm. J. Emerg. Med.\u003c/em\u003e \u003cb\u003e38\u003c/b\u003e (10), 2088\u0026ndash;2095 (2020).\u003c/span\u003e\u003c/li\u003e\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"
[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"sepsis, myocardial injury, haptoglobin, lactate, biomarker, prognosis, MIMIC-IV, SIMI, HLR","lastPublishedDoi":"10.21203/rs.3.rs-9010547/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-9010547/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003ch2\u003eBackground\u003c/h2\u003e \u003cp\u003eSepsis-induced myocardial injury (SIMI) is a frequent and life-threatening complication among critically ill patients with sepsis. While lactate is a classic marker of tissue hypoperfusion and metabolic stress, haptoglobin (Hp) serves as a vital scavenger of toxic cell-free hemoglobin, reflecting the host's antioxidative defense capacity. Consequently, the haptoglobin-to-lactate ratio (HLR) may represent a novel composite index capturing the balance between physiological reserve and pathological insult. However, the prognostic value of HLR has not been systematically evaluated in the high-risk population of patients with SIMI.This study aimed to examine the association between the HLR and both short- and long-term all-cause mortality in patients with SIMI, and to assess its prognostic value in this high-risk population.\u003c/p\u003e\u003ch2\u003eMethods\u003c/h2\u003e \u003cp\u003eThis retrospective cohort study was conducted using the Medical Information Mart for Intensive Care IV (MIMIC-IV, version 3.1) database. Adult patients who met Sepsis-3 criteria and were admitted to the intensive care unit (ICU) were included. SIMI was defined as an elevated serum troponin T (\u0026gt;\u0026thinsp;0.01 ng/mL) within the first 24 hours of ICU admission in the absence of acute coronary syndrome or other non-septic causes. The HLR was calculated as Hp (mg/dL) divided by serum lactate (mmol/L) on the first ICU day and analyzed both as a continuous variable and in quartiles. Baseline characteristics were compared across HLR quartiles. Survival differences were estimated using Kaplan\u0026ndash;Meier curves. Cox proportional hazards regression models were applied to assess the independent association between HLR and 28-day and 90-day all-cause mortality. Non-linear relationships were explored using restricted cubic splines (RCS). Subgroup analyses were performed to test the consistency of associations across clinical strata.\u003c/p\u003e\u003ch2\u003eResults\u003c/h2\u003e \u003cp\u003eA total of 609 patients with SIMI were included. Patients in higher HLR quartiles had lower SOFA scores and significantly lower lactate levels compared with those in lower quartiles. Kaplan\u0026ndash;Meier analysis demonstrated significantly improved survival with increasing HLR quartiles (log-rank \u003cem\u003eP\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.001). In multivariable Cox regression models, a higher HLR was independently associated with reduced 28-day all-cause mortality (Q4 vs. Q1: adjusted hazard ratio [HR] 0.63, 95% confidence interval [CI] 0.43\u0026ndash;0.95, \u003cem\u003eP\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.025) and 90-day all-cause mortality (Q4 vs. Q1: adjusted HR 0.67, 95% CI 0.46\u0026ndash;0.96, \u003cem\u003eP\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.027). RCS analysis revealed an L-shaped non-linear relationship between HLR and mortality risk, with optimal breakpoints identified at 7.864 for 28-day mortality and 2.125 for 90-day mortality. Subgroup analysis indicated that the prognostic value of HLR was particularly pronounced in elderly patients aged\u0026thinsp;\u0026ge;\u0026thinsp;65 years (\u003cem\u003eP\u003c/em\u003e for interaction\u0026thinsp;=\u0026thinsp;0.035).\u003c/p\u003e\u003ch2\u003eConclusions\u003c/h2\u003e \u003cp\u003eThe HLR is a novel and reliable biomarker for predicting short- and long-term mortality in septic patients with myocardial injury. This simple, inflammation\u0026ndash;metabolism\u0026ndash;based index may serve as a convenient tool for risk stratification and prognostic assessment in critical care settings.\u003c/p\u003e","manuscriptTitle":"Predictive value of the haptoglobin-to-lactate ratio for mortality in patients with sepsis-associated myocardial injury: a retrospective cohort study","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2026-03-27 07:48:18","doi":"10.21203/rs.3.rs-9010547/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"
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