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This study evaluated the prognostic performance of multiple indicators in ICU sepsis patients admitted from March 15, 2023 to January 1, 2024. Among 115 patients, prognostic nutritional index (PNI) and urea-albumin ratio (UAR) showed the strongest discrimination, and combining them in logistic regression increased the AUC for mortality prediction, supporting their potential clinical utility.",{"@graph":69,"@context":122},[70,84,105],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":35,"@type":76,"position":81},"https://docshare.wps.com/document/healthcare/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/prognostic-nutritional-index-and-urea-albumin-ratio-novel-mortality-predictors-for-critically-ill-sepsis-patients/448982/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/prognostic-nutritional-index-and-urea-albumin-ratio-novel-mortality-predictors-for-critically-ill-sepsis-patients/448982.png","ImageObject",300,407,{"name":92,"@type":93},"Terk","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-11-04","2026-09-30",true,{"@type":102,"interactionType":103,"userInteractionCount":34},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"Why is early mortality prediction important in ICU sepsis patients?","Question",{"text":112,"@type":113},"Sepsis can progress unpredictably and is associated with high mortality. Early recognition of patients with high mortality risk supports timely and effective interventions.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"What were the study groups and how were data compared?",{"text":117,"@type":113},"Patients admitted to the ICU between March 15, 2023 and January 1, 2024 were divided into survivors and non-survivors. Demographic, clinical, and laboratory data were compared to assess predictive efficacy for mortality.",{"name":119,"@type":110,"acceptedAnswer":120},"Which indicators performed best for predicting mortality?",{"text":121,"@type":113},"Among 16 prognostic indicators, PNI showed the highest diagnostic power, followed by UAR. When PNI and UAR were used together, the AUC increased significantly in multiple logistic regression.","https://schema.org",{"og:url":83,"og:type":124,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":126,"canonical":83},"index,follow",{"doc_id":128,"site_id":62},448982,1790791402,{"code":4,"msg":5,"data":131},{"doc_id":128,"user_id":132,"nickname":92,"user_avatar":133,"doc_module":4,"category_id":34,"category_name":35,"doc_title":65,"doc_description":67,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":34,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":29,"language":139,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":140,"faqs":141,"seo_title":142,"seo_description":67,"update_tm":143,"read_time":144,"preview_page_count":4},1099525198933,"https://ap-avatar.wpscdn.com/davatar_155a257f0dc6eb9ab79c44ca47cae57d","ORIGINAL ARTICLE  \nPrognostic Nutritional Index and Urea-albumin Ratio: Novel  \nMortality Predictors for Critically Ill Sepsis Patients*  \nTugce Damarsoy1, Hasan T Gozdas2, Isa Yildiz3, Abdullah Demirhan4  \nReceived on: 19 September 2025; Accepted on: 02 November 2025; Published on: 19 December 2025  \nVisual Abstract  \nAbstrAct  \nBackground and aim: Sepsis is a major health problem that causes the death of the majority of those affected. Early determination of mortality is essential to provide timely and adequate interventions. We investigated the efficacy of various prognostic indicators for the prediction of mortality in intensive care unit (ICU) sepsis patients.  \nPatients and methods: Sepsis patients admitted to the ICU of our hospital between March 15, 2023 and January 01, 2024, were included in this study. These were divided into two groups: Survivors and nonsurvivors. Demographic, clinical, and laboratory data of the groups were compared and their efficacy in predicting mortality was investigated.  \nResults: Of the 115 patients in our study, 58 (50.4%) were in the nonsurvivor group and 57 (49.6%) were in the survivor group. Among the 16 different prognostic indicators investigated, the prognostic nutritional index (PNI) was found to have the highest diagnostic power (AUC = 0.704, 95% CI: 0.612–0.786; p \u003C 0.0001) followed by the urea-albumin ratio (UAR) (AUC = 0.690, 95% CI: 0.597–0.773; p \u003C 0.001). Multiple logistic regression analysis showed that the area under the curve (AUC) increased significantly in the model using PNI and UAR values together (AUC = 0.742, 95% CI: 0.653–0.819; p \u003C 0.0001) .  \nConclusion: Our study showed that PNI and UAR indicators, when used together, may be a useful tool in the assessment of mortality risk in ICU sepsis patients.  \nKeywords: Intensive care unit, Mortality, Prognostic nutritional index, Sepsis, Urea albumin ratio.  \nIndian Journal of Critical Care Medicine (2025): 10.5005/jp-journals-10071-25097  \nHigHligHts  \nSepsis is a serious clinical condition with a high mortality rate. It is important to predict mortality in sepsis patients for optimal management. Our study revealed that combined use of prognostic nutritional index (PNI) and urea-albumin ratio (UAR) is beneficial in the prediction of mortality in sepsis patients.  \nintroduction  \nSepsis represents a complex clinical syndrome characterized by life-threatening organ dysfunction triggered by an imbalanced host response to infection.1 Sepsis and septic shock continue to pose major global health threats, contributing to substantial mortality despite advances in modern medicine.2 Owing to its high incidence and lethality, early recognition and intervention remain essential to improving survival rates.3 Identification of patients with high mortality risk and accurate prediction of outcomes in the early stages of sepsis are essential for timely and effective interventions to be performed in these patients.4  \nDespite notable advances in diagnostic and therapeutic strategies, sepsis still exhibits unacceptably high mortality and unpredictable disease progression. Variability in host immune response, comorbidities, and pathophysiological mechanisms lead to diverse clinical trajectories and outcomes in sepsis. Consequently, recognizing and characterizing prognostic markers associated with mortality is fundamental for optimizing management and reducing sepsis-related deaths.4  \nPrognostic indicators used to predict disease course in sepsis patients will positively affect patient management and contribute  \n1,2Department of Infectious Diseases and Clinical Microbiology, Abant Izzet Baysal University Faculty of Medicine, Bolu, Turkey  \n3,4Department of Anesthesiology and Reanimation, Abant Izzet Baysal University Faculty of Medicine, Bolu, Turkey  \nCorresponding Author: Hasan T Gozdas, Department of Infectious Diseases and Clinical Microbiology, Abant Izzet Baysal University Faculty of Medicine, Bolu, Turkey, Phone: +903742541000, e-mail","cbCaievxdlBUB3zl","https://ap.wps.com/l/cbCaievxdlBUB3zl","pdf",517189,"English","# Abstract\n## Background and aim\n## Patients and methods\n## Results\n## Conclusion\n# Introduction\n# Key indicators and clinical relevance\n# Ethics, support, and disclosures","[{\"question\":\"Why is early mortality prediction important in ICU sepsis patients?\",\"answer\":\"Sepsis can progress unpredictably and is associated with high mortality. Early recognition of patients with high mortality risk supports timely and effective interventions.\"},{\"question\":\"What were the study groups and how were data compared?\",\"answer\":\"Patients admitted to the ICU between March 15, 2023 and January 1, 2024 were divided into survivors and non-survivors. Demographic, clinical, and laboratory data were compared to assess predictive efficacy for mortality.\"},{\"question\":\"Which indicators performed best for predicting mortality?\",\"answer\":\"Among 16 prognostic indicators, PNI showed the highest diagnostic power, followed by UAR. When PNI and UAR were used together, the AUC increased significantly in multiple logistic regression.\"}]","Prognostic Nutritional Index and Urea-albumin Ratio - Novel Mortality Predictors for Critically Ill Sepsis Patients | PDF",1790729142,15]