Evidence map›Paper›PMID 42143371›Full record

ArticleNutrition & metabolism2026

Dynamic prognostic nutritional index and 28-day mortality in sepsis: a joint modeling analysis.

Feng Xu, Jinjiang Li, Wei Zhao, Shijing Ding, Jing Cao

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In one paragraph

Article in Nutrition & metabolism, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

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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

5 authors.

Feng XuDepartment of Critical Care Medicine, First Hospital of Shanxi Medical University, Taiyuan, China.
Jinjiang LiDepartment of Critical Care Medicine, First Hospital of Shanxi Medical University, Taiyuan, China.
Wei ZhaoDepartment of Critical Care Medicine, First Hospital of Shanxi Medical University, Taiyuan, China.
Shijing DingDepartment of Critical Care Medicine, First Hospital of Shanxi Medical University, Taiyuan, China.
Jing CaoDepartment of Critical Care Medicine, First Hospital of Shanxi Medical University, Taiyuan, China. cj681473@sxmu.edu.cn.

Funding

Fundamental Research Program of Shanxi Province 202403021221291
6 · The paper itself

Abstract

backgroundAlthough the Prognostic Nutritional Index (PNI) is associated with sepsis outcomes, admission values may primarily reflect acute illness severity. We examined whether longitudinal PNI provides prognostic value beyond baseline risk.

methodsIn this retrospective cohort study of 492 adults with sepsis, baseline PNI was assessed using Kaplan-Meier analysis and adjusted restricted cubic splines. A joint model was used to link repeated PNI measurements from days 1 to 7 with time to 28-day mortality while accounting for informative dropout due to death or discharge. Time-dependent Cox models were further used to compare dynamic PNI with albumin and total lymphocyte count.

resultsBaseline PNI showed a non-significant trend toward survival separation (log-rank p = 0.063) and was not independently associated with 28-day mortality after multivariable adjustment (p = 0.122). By contrast, dynamic PNI was independently associated with mortality in time-dependent analyses (HR 0.730, p = 0.032), whereas albumin and total lymphocyte count were not. Joint modeling likewise demonstrated a significant independent association between longitudinal PNI and mortality (HR 0.831, p < 0.001).

conclusionBaseline PNI showed limited independent prognostic value, whereas longitudinal PNI provided additional prognostic information and showed modestly better predictive performance than its individual components.

Indexed as

Dynamic assessmentJoint modelingMortalityPrognostic Nutritional IndexSepsis

Identifiers

PMID42143371
PMCPMC13361467

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