{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,6]],"date-time":"2026-06-06T15:11:05Z","timestamp":1780758665753,"version":"3.54.1"},"reference-count":26,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2024,8,13]],"date-time":"2024-08-13T00:00:00Z","timestamp":1723507200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100004735","name":"Natural Science Foundation of Hunan province","doi-asserted-by":"publisher","award":["2022JJ30092"],"award-info":[{"award-number":["2022JJ30092"]}],"id":[{"id":"10.13039\/501100004735","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Med."],"abstract":"<jats:sec><jats:title>Background<\/jats:title><jats:p>The lactate to hematocrit ratio (LHR) has not been assessed for predicting all-cause death in sepsis patients. This study aims to evaluate the relationship between LHR and 30-day all-cause mortality in sepsis patients.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>This retrospective study used the data from Medical information mart for intensive care IV (MIMIC-IV, version 2.0). Our study focused on adult sepsis patients who were initially hospitalized in the Intensive care unit (ICU). The prognostic significance of admission LHR for 30-day all-cause mortality was evaluated using a multivariate Cox regression model, ROC curve analysis, Kaplan\u2013Meier curves, and subgroup analyses.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>A total of 3,829 sepsis patients participated in this study. Among the cohort, 8.5% of individuals died within of 30\u2009days (<jats:italic>p<\/jats:italic> &amp;lt;\u20090.001). The area under the curve (AUC) for LHR was 74.50% (95% CI: 71.6\u201377.50%), higher than arterial blood lactate (AUC\u2009=\u200971.30%), hematocrit (AUC\u2009=\u200964.80%), and shows no significant disadvantage compared to qSOFA, SOFA, and SAPS II. We further evaluated combining LHR with qSOFA score to predict mortality in sepsis patients, which shows more clinical significance. ROC curve analysis showed that 6.538 was the optimal cutoff value for survival and non-survival groups. With LHR \u22656.538 vs. LHR &amp;lt;6.538 (<jats:italic>p<\/jats:italic> &amp;lt;\u20090.001). Subgroup analysis showed significant interactions between LHR, age, sex, and simultaneous acute respiratory failure (<jats:italic>p<\/jats:italic> =\u20090.001\u20130.005).<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>LHR is an independent predictor of all-cause mortality in sepsis patients after admission, with superior predictive ability compared to blood lactate or hematocrit alone.<\/jats:p><\/jats:sec>","DOI":"10.3389\/fmed.2024.1422883","type":"journal-article","created":{"date-parts":[[2024,8,15]],"date-time":"2024-08-15T20:34:06Z","timestamp":1723754046000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":9,"title":["Association between lactate to hematocrit ratio and 30-day all-cause mortality in patients with sepsis: a retrospective analysis of the Medical Information Mart for Intensive Care IV database"],"prefix":"10.3389","volume":"11","author":[{"given":"Wentao","family":"Duan","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Feng","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hua","family":"Ling","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qiong","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xingui","family":"Dai","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2024,8,13]]},"reference":[{"key":"ref1","doi-asserted-by":"publisher","first-page":"801","DOI":"10.1001\/jama.2016.0287","article-title":"The third international consensus definitions for sepsis and septic shock (sepsis-3)","volume":"315","author":"Singer","year":"2016","journal-title":"JAMA"},{"key":"ref2","doi-asserted-by":"publisher","first-page":"1059","DOI":"10.1164\/rccm.202207-1257ED","article-title":"Sepsis epidemiology and outcomes in Asia: advancing the needle","volume":"206","author":"Tirupakuzhi Vijayaraghavan","year":"2022","journal-title":"Am J Respir Crit Care Med"},{"key":"ref3","doi-asserted-by":"publisher","first-page":"1071","DOI":"10.1007\/s00134-018-5203-z","article-title":"Sepsis-related mortality in China: a descriptive analysis","volume":"44","author":"Weng","year":"2018","journal-title":"Intensive Care Med"},{"key":"ref4","doi-asserted-by":"publisher","first-page":"391","DOI":"10.1258\/acb.2011.011227","article-title":"Does lactate measurement performed on admission predict clinical outcome on the intensive care unit? 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