Evidence map›Paper›PMID 40827023›Full record

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Clinical value of the lactate-to-albumin ratio in assessing prognosis in critically ill patients with sepsis-associated encephalopathy: A retrospective analysis.

Xiaojing Li, Fengzhen Huang, Jiping Yi, Tieqiao Zhou, Xiaoxiang Gong

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Article in Science progress. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Xiaojing LiDepartment of General Surgery, The Second Xiangya Hospital of Central South University, Changsha, China.
Fengzhen HuangDepartment of Neurology, The First People's Hospital of Chenzhou Affiliated to the University of South China, Chenzhou, China.
Jiping YiDepartment of Neurology, The First People's Hospital of Chenzhou Affiliated to the University of South China, Chenzhou, China.
Tieqiao ZhouDepartment of Laboratory Medicine, The First People's Hospital of Chenzhou Affiliated to the University of South China, Chenzhou, China.
Xiaoxiang GongDepartment of Pediatrics, The Second Xiangya Hospital of Central South University, Changsha, China.ORCID 0000-0003-1664-5789

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

ObjectiveSepsis-associated encephalopathy (SAE) is a critical complication of sepsis with high mortality, yet reliable prognostic biomarkers remain limited. This study aimed to investigate the association between the lactate-to-albumin ratio (LAR) and short- and long-term mortality in SAE patients.MethodsA retrospective cohort analysis was conducted using the MIMIC-IV database, including 874 adult SAE patients. LAR was calculated within 24 h of ICU admission. Participants were stratified into quartiles (Q1-Q4) based on LAR values. Cox proportional hazards models and restricted cubic spline (RCS) were employed to evaluate relationships between LAR and mortality at 30, 90, 180, and 365 days. The area under the receiver operating characteristic (ROC) curve (AUC) was employed to evaluate the predictive performance of LAR.ResultsKaplan-Meier analysis demonstrated that, the Q2,Q3,Q4 group experienced significantly lower survival rate compared to the Q1 group for 30-day, 90-day, 180-day, and 365-day, with the Q4 group had the lowest survival rate. Cox proportional hazards regression revealed LAR as a robust independent predictor, demonstrating persistent prognostic significance across all observed time points. RCS analysis revealed a nonlinear association between LAR and the mortality of SAE. The ROC curves demonstrated robust predictive ability of LAR, with AUCs of 0.753 (30-day), 0.736 (90-day), 0.733 (180-day), and 0.725 (365-day).ConclusionsLAR serves as an easily accessible, independent prognostic biomarker for predicting short- and long-term mortality in SAE patients, exhibiting a distinct nonlinear correlation with mortality risks over these periods. These results underscore its potential value in risk stratification and in guiding early clinical interventions. Additional prospective studies are needed to confirm its role in the management of SAE.

Indexed as

Lactic AcidSepsisSepsis-Associated EncephalopathySerum AlbuminAgedBiomarkersCritical IllnessFemaleHumansIntensive Care UnitsMaleMiddle AgedPrognosisProportional Hazards ModelsRetrospective StudiesROC CurveBiomarkersLactic AcidSerum Albuminlactate-to-albumin ratio (LAR)MIMIC IV databasemortalitySepsissepsis-associated encephalopathy (SAE)

Identifiers

PMID40827023
PMCPMC12365462

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.