Evidence map›Paper›PMID 41366266›Full record

ArticleScientific reports2025

Prognostic nutritional indices predict 60 day mortality in ICU patients with sepsis.

Jinyan Fang, Yuanhan Lin, Linjun Zhao, Xue Zhao, Jinyu Huang

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Jinyan FangThe Fourth School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou First People's Hospital, No.261, Huansha Road, Hangzhou, 310053, Zhejiang Province, China.
Yuanhan LinThe Fourth School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou First People's Hospital, No.261, Huansha Road, Hangzhou, 310053, Zhejiang Province, China.
Linjun ZhaoThe Fourth School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou First People's Hospital, No.261, Huansha Road, Hangzhou, 310053, Zhejiang Province, China.
Xue ZhaoThe Fourth School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou First People's Hospital, No.261, Huansha Road, Hangzhou, 310053, Zhejiang Province, China.
Jinyu HuangThe Fourth School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou First People's Hospital, No.261, Huansha Road, Hangzhou, 310053, Zhejiang Province, China. hjyuo@163.com.

Funding

the Key Project of Hangzhou Health Science and Technology Plan ZD20230017the Zhejiang Provincial Medical and Health Science and Technology Project 2022KY241the Zhejiang Provincial Medical and Health Technology Project 2023RC226the Zhejiang Provincial Traditional Chinese Medicine Science and Technology Project 2023ZR121
6 · The paper itself

Abstract

Sepsis is frequently accompanied by severe metabolic disturbances and malnutrition, with nutritional status being an important modifiable factor affecting patient outcomes. The Prognostic Nutritional Index (PNI) and the Geriatric Nutritional Risk Index (GNRI) are multidimensional tools for assessing nutritional status. However, the association between PNI/GNRI and 60-day mortality in patients with sepsis remain inadequately elucidated. This study aimed to evaluate the value of PNI and GNRI for predicting the mortality risk in sepsis based on analysis of data from the MIMIC-IV database. A total of 1649 patients with sepsis were enrolled and stratified into tertiles of PNI and GNRI. We performed Kaplan-Meier survival analysis, multivariate Cox regression analysis, restricted cubic spline (RCS) analysis, complemented by subgroup analyses stratified by age, comorbidities, and treatments. Patients in the PNI- and GNRI-Q3 groups (high-score groups) demonstrated a 53% reduction in 60-day mortality risk relative to those in the PNI- and GNRI-Q1 groups (low-score groups) [hazard ratio (HR) = 0.47, 95% confidence interval (CI): 0.30-0.73]. RCS analysis revealed a nonlinear inverse correlation between PNI and mortality risk, with elevated mortality risk (HR > 1) observed at low scores of PNI (< 20). Subgroup analyses indicated that PNI exhibited more pronounced protective effects in patients aged ≤ 65 years (HR = 0.33) and those treated with β-lactam antibiotics (HR = 0.38). In contrast, GNRI showed better predictive value in elderly patients (> 65 years, HR = 0.61) and those with diabetes (HR = 0.37). Both PNI and GNRI are independent predictors of 60-day mortality in patients with sepsis. By integrating nutritional and immunological parameters, they provide valuable prognostic value beyond conventional measures. Incorporating PNI and GNRI into risk evaluation frameworks may help identify patients who may benefit from early nutritional interventions.

Indexed as

Intensive Care UnitsNutritional StatusNutrition AssessmentSepsisAgedAged, 80 and overFemaleHumansKaplan-Meier EstimateMaleMiddle AgedPrognosisProportional Hazards ModelsRisk FactorsGeriatric nutritional risk indexMIMIC-IVMortalityPrognostic nutritional indexSepsis

Identifiers

PMID41366266
PMCPMC12753698

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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.