Evidence map›Paper›PMID 41573065›Full record

ArticleNorthern clinics of Istanbul2025

Prognostic nutritional index and 28-day mortality in elderly septic patients: A retrospective analysis based on the MIMIC database.

Yuewen Yang, Zhihong Zhou, Huajie Dai, Jian Zhong

Abstract read
In one paragraph

Article in Northern clinics of Istanbul, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Yuewen YangDepartment of Intensive Care, Shunde Hospital, Guangzhou University of Chinese Medicine, Foshan, China.
Zhihong ZhouDepartment of Intensive Care, Shunde Hospital, Guangzhou University of Chinese Medicine, Foshan, China.
Huajie DaiDepartment of Computer Science and Engineering, Chongqing Three Gorges University, Chongqing, China.
Jian ZhongDepartment of Intensive Care, Shunde Hospital, Guangzhou University of Chinese Medicine, Foshan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivePeripheral blood lymphocyte count and serum albumin level are crucial predictors of mortality across various diseases, including sepsis. However, previous studies have focused primarily on individual indicators (lymphocyte count or albumin) in relation to sepsis prognosis. Given the limitations of these single indicators, we investigated the relationship between the Prognostic Nutritional Index (PNI)-a composite indicator combining serum albumin level and lymphocyte count-and 28-day all-cause mortality in elderly septic patients.

methodsThis retrospective study analyzed data from elderly septic patients in the Medical Information Mart for Intensive Care (MIMIC-IV, v2.2) database from 2008 to 2019. Patients were categorized into survival and mortality groups based on 28-day outcomes, and baseline data were compared between the groups. Restricted cubic spline (RCS) analysis was used to determine PNI values at which the hazard ratio (HR) for 28-day mortality was 1. Patients were then classified into extreme (PNI<29.24 or PNI>47.77) and moderate (29.24≤PNI≤47.77) PNI groups. Kaplan-Meier survival curves were used to analyze cumulative 28-day survival rates, and Cox regression models assessed the relationship between PNI and 28-day outcomes.

resultsThe study included 2,121 patients. PNI values were significantly lower in the mortality group compared to the survival group (p<0.05). RCS analysis indicated a nonlinear relationship between PNI and 28-day all-cause mortality risk (X

conclusionTo our knowledge, this study is the first to reveal a nonlinear relationship between PNI values and 28-day all-cause mortality in elderly septic patients. Our findings associated extreme PNI values with increased mortality risk, and suggest that PNI may serve as an effective tool for prognostic risk stratification.

Indexed as

All-cause mortalityelderly sepsis patientsMIMIC-IVprognostic nutritional index

Identifiers

PMID41573065
PMCPMC12821127

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