Evidence map›Paper›PMID 41580639›Full record

ArticleBMC infectious diseases2026

Association between Lok index and all-cause mortality among sepsis patients in critical care: insights from the MIMIC-IV database.

Qin Qin, Wentao Ye, Tianyang He, Lisha Xiang

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Article in BMC infectious diseases, 2026. 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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5 · Who and what money

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4 authors.

Qin QinDepartment of Emergency, West China Hospital of Sichuan University, Chengdu, 610041, China.
Wentao YeWest China College of Clinical Medicine, Sichuan University, Chengdu, 610041, China.
Tianyang HeWest China College of Clinical Medicine, Sichuan University, Chengdu, 610041, China.
Lisha XiangDepartment of Emergency, West China Hospital of Sichuan University, Chengdu, 610041, China. lishaxiang@foxmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSepsis is a multiple organ dysfunction syndrome, and the liver plays a significant role in the inflammatory response of sepsis. The Lok index is a common indicator of liver health, but relationship between the Lok index and sepsis prognosis is not yet clear. This study aimed to explore the association between the Lok index and clinical outcomes in patients with severe sepsis.

methodWe extracted data on patients with sepsis from the Medical Information Database for Intensive Care IV (MIMIC-IV). Cox proportional hazards models were constructed to evaluate the relationship between Lok index and all-cause mortality at 30 days, 90 days, and 1 year. Kaplan-Meier survival curves showed the differences in mortality outcomes between different Lok index groups. Restricted cubic splines (RCS) were used to examine the dose-response relationship between Lok index and all-cause mortality risk.

resultsA total of 6,404 patients were included in this study and the median age of participants is 72 years, including 3,684 males (57.52%). All-cause mortality at 30, 90, and 365 days was the primary outcome, and patients were stratified into quartiles based on the Lok index. Kaplan-Meier survival curves show that a higher Lok index is associated with a higher risk of all-cause mortality at 30, 90, and 365 days (log-rank P < 0.010). Cox proportional hazards regression analysis shows that the highest quartile of Lok index had a significantly higher risk of death (HR for the fully adjusted model [HR for 30 days: 1.011 (95% CI 1.005–1.017), P < 0.001; for 90 days: 1.011 (95% CI 1.006–1.016), P < 0.001; for 1 year: 1.011 (95% CI 1.007–1.016), P < 0.001). RCS analysis reveals a significant nonlinear correlation between Lok index and all-cause mortality (P nonlinear = 0.003). In the subgroup analysis, the hazard ratio (HR) of 30-day all-cause mortality was significantly different in the atrial fibrillation (AF) and hypertension subgroup.

conclusionAmong patients with severe sepsis, elevated Lok index values predicted an increased likelihood of death at 30, 90, and 365 days. These findings suggest that the Lok index may serve as a novel and readily available prognostic tool for risk stratification in sepsis. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

Critical CareSepsisAgedAged, 80 and overDatabases, FactualFemaleHumansIntensive Care UnitsKaplan-Meier EstimateMaleMiddle AgedPrognosisProportional Hazards ModelsAll-cause mortalityLok indexMIMIC-IV databasePrognosisSepsis

Identifiers

PMID41580639
PMCPMC12911129

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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.