Evidence map›Paper›PMID 41961689›Full record

ArticleMedicine2026

Prognostic factors for mortality in age-stratified elderly sepsis patients: A retrospective cohort study based on the MIMIC-IV database.

Jiao Chen, Jinfeng Lin, Hao Wang, Chunfeng Gu, Xiang Lu, Chongxiu Sun

Abstract read
In one paragraph

Article in Medicine, 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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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Jiao ChenCollaborative Innovation Center for Cardiovascular Disease Translational Medicine, Nanjing Medical University, Nanjing, China.ORCID 0009-0007-0060-1454
Jinfeng LinDepartment of Critical Care Medicine, Affiliated Nantong Hospital 3 of Nantong University, Nantong Third People`s Hospital, Nantong, China.
Hao WangCopper Ridge Health Care, West Jordan, Utah.
Chunfeng GuCtrip Infrastructure Service, Trip.com Group Ltd, Nantong, China.
Xiang LuDepartment of Geriatrics, Sir Run Run Hospital, Nanjing Medical University, Nanjing, China.
Chongxiu SunCollaborative Innovation Center for Cardiovascular Disease Translational Medicine, Nanjing Medical University, Nanjing, China.

Funding

the Senile Health Research Project of Jiangsu Provincial Health Commission LKM2023013
6 · The paper itself

Abstract

Sepsis represents a major cause of death among elderly patients; however, prognostic factors specific to different age strata within this population remain insufficiently characterized. This retrospective cohort study aimed to identify early predictors of mortality in elderly sepsis patients using the MIMIC-IV database. We included 13,461 sepsis patients aged ≥60 years, stratified into younger-old (60-74 years; n = 7618) and older-old (75-90 years; n = 5843) groups. Propensity score matching was applied to balance baseline characteristics, yielding 4657 matched patients per group. Multivariable logistic regression, receiver operating characteristic analysis, and Kaplan-Meier survival curves were employed to assess clinical and biochemical markers for 28-day mortality and to identify age-specific prognostic indicators. These findings underscore the importance of age-stratified prognostic models to guide targeted clinical interventions and potentially improve outcomes in elderly patients with sepsis. Lactate dehydrogenase (LDH) and the PaO2/FiO2 ratio emerged as key mortality predictors in the younger-old group, whereas urea nitrogen and hypoalbuminemia were predominant in the older-old group. Urine output served as a common predictor across both strata, with oliguria associated with a 2.5-fold increase in mortality risk among older patients. While a combination of predictors enhanced prognostic accuracy in younger-old patients, this was not observed in the older-old group, suggesting a greater influence of frailty and comorbidities in advanced age.

Indexed as

SepsisAgedAged, 80 and overAge FactorsBiomarkersDatabases, FactualFemaleHumansKaplan-Meier EstimateL-Lactate DehydrogenaseMaleMiddle AgedPrognosisRetrospective StudiesROC CurveBiomarkersL-Lactate Dehydrogenaseacute kidney injuryage stratificationelderlymortalityprognostic factorssepsis

Identifiers

PMID41961689
PMCPMC13593031

What OpenQuestion holds

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Registered trials

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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.