Predicting Surgical Resource Consumption and in-Hospital Mortality in Resource-Scarce Conflict Settings: A Retrospective Database Study

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The Red Cross Wound Score (RCWS) better predicts surgical resource consumption and in-hospital mortality than KTS and RTS in weapon-injured adults in resource-scarce conflict settings.

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This retrospective database study evaluated how the International Committee of the Red Cross Red Cross Wound Score (RCWS) compares with the Kampala Trauma Score (KTS) and revised trauma score (RTS) for predicting surgical resource consumption and in-hospital mortality among weapon-injured adults admitted to ICRC hospitals in Peshawar (2009–2012) and Goma (2012–2014). High resource consumption was defined as at least three surgical procedures, three blood transfusions, and/or amputation, and associations were assessed with logistic regression and adjusted receiver operating characteristic curves, with missing data addressed via imputation and model fit compared using AIC. RCWS showed significantly better discrimination for high resource consumption (AUC 0.76 vs 0.53 for KTS and 0.51 for RTS) and lower AIC, while for mortality RCWS had higher AUC across all patients (0.79 vs 0.71 for KTS and 0.70 for RTS), with the mortality performance difference not replicated in the complete-data subset. The paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

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Abstract Background: In armed conflicts, civilian health care struggles to cope. Being able to predict what resources are needed is therefore vital. The International Committee of the Red Cross (ICRC) implemented in the 1990s the Red Cross Wound Score (RCWS) for assessment of penetrating injuries. It is unknown to what extent RCWS or the established trauma scores Kampala trauma Score (KTS) and revised trauma score (RTS) can be used to predict surgical resource consumption and in-hospital mortality. Methods: A retrospective study of routinely collected data on weapon-injured adults admitted to ICRC’s hospitals in Peshawar, 2009–2012 and Goma, 2012–2014. High resource consumption was defined as ≥3 surgical procedures, ≥3 blood-transfusions and/or amputation. The relationship between RCWS, KTS, RTS and resource consumption, in-hospital mortality was evaluated with logistic regression and adjusted receiver operating characteristic curves (AUC). The impact of missing data was assessed with imputation. Model fit was compared with Akaike Information Criterion (AIC). Results: A total of 1564 patients were included, of these 834 patients had complete data. For high resource consumption AUC was significantly higher for RCWS (0.76) than for KTS (0.53) and RTS (0.51). Additionally, RCWS had lower AIC, indicating a better model fit. For in-hospital mortality AUC was significantly higher for RCWS (0.79) than for KTS (0.71) and RTS (0.70) for all patients, but not for patients with complete data. Conclusion: RCWS appears to predict surgical resource consumption better than KTS and RTS. RCWS may be a promising tool for planning and monitoring surgical care in resource-scarce conflict settings.
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Predicting Surgical Resource Consumption and in-Hospital Mortality in Resource-Scarce Conflict Settings: A Retrospective Database 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 Research article Predicting Surgical Resource Consumption and in-Hospital Mortality in Resource-Scarce Conflict Settings: A Retrospective Database Study Måns Muhrbeck, Zaher Osman, Johan Von Schreeb, Andreas Wladis, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-117530/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: In armed conflicts, civilian health care struggles to cope. Being able to predict what resources are needed is therefore vital. The International Committee of the Red Cross (ICRC) implemented in the 1990s the Red Cross Wound Score (RCWS) for assessment of penetrating injuries. It is unknown to what extent RCWS or the established trauma scores Kampala trauma Score (KTS) and revised trauma score (RTS) can be used to predict surgical resource consumption and in-hospital mortality. Methods: A retrospective study of routinely collected data on weapon-injured adults admitted to ICRC’s hospitals in Peshawar, 2009–2012 and Goma, 2012–2014. High resource consumption was defined as ≥3 surgical procedures, ≥3 blood-transfusions and/or amputation. The relationship between RCWS, KTS, RTS and resource consumption, in-hospital mortality was evaluated with logistic regression and adjusted receiver operating characteristic curves (AUC). The impact of missing data was assessed with imputation. Model fit was compared with Akaike Information Criterion (AIC). Results: A total of 1564 patients were included, of these 834 patients had complete data. For high resource consumption AUC was significantly higher for RCWS (0.76) than for KTS (0.53) and RTS (0.51). Additionally, RCWS had lower AIC, indicating a better model fit. For in-hospital mortality AUC was significantly higher for RCWS (0.79) than for KTS (0.71) and RTS (0.70) for all patients, but not for patients with complete data. Conclusion: RCWS appears to predict surgical resource consumption better than KTS and RTS. RCWS may be a promising tool for planning and monitoring surgical care in resource-scarce conflict settings. Surgery General Surgery Armed Conflicts Health Resources Penetrating Wounds Full Text Supplementary Files RCWCTableSupplWJES201109.pdf 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. 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