Geriatric nutritional risk index as a predictor of 28-day and 365-day mortality in patients with heart failure complicated by sepsis: A retrospective cohort study using the MIMIC-Ⅳ database

Yameng Wang , Maosheng Wang , Ling Wang , Qi Tang , Yuanping Wang , Xiangyun Teng , Lili Jin

›› 2026, Vol. 15 ›› Issue (1) : 4

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›› 2026, Vol. 15 ›› Issue (1) :4 DOI: 10.4103/jad.jad_149_25
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Geriatric nutritional risk index as a predictor of 28-day and 365-day mortality in patients with heart failure complicated by sepsis: A retrospective cohort study using the MIMIC-Ⅳ database
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Abstract

Objective: To evaluate the association between the Geriatric Nutritional Risk Index (GNRI) at ICU admission and mortality in patients with heart failure complicated by sepsis, a high-risk population in which the prognostic value of this validated malnutrition risk assessment tool remains underexplored. Methods: Patients with heart failure and sepsis were identified from the Medical Information Mart for Intensive Care (MIMIC-Ⅳ) database and stratified into four GNRI groups. The primary endpoints were 28-day and 365-day all-cause mortality. Survival analysis used Kaplan-Meier curves and Cox proportional hazards models. Linearity was assessed using restricted cubic splines (RCS), while GNRI’s predictive performance was evaluated using receiver operating characteristic (ROC) curves. Results: Altogether, 1 713 patients with heart failure complicated by sepsis were identified in the present study. Kaplan-Meier analysis revealed 28-day mortality rates of 40.44% (high-risk) vs. 25.27% (no-risk) (P<.001), with a similar trend for 365-day mortality (63.75% vs. 43.96%, P<.001). RCS confirmed a linear inverse relationship between GNRI and mortality. Cox regression demonstrated that each unit GNRI increase reduced 28-day (hazard ratio [HR], 0.99; 95% confidence interval [ CI] 0.98–1.00) and 365-day mortality risk (HR, 0.98; 95% CI 0.98–0.99). ROC analysis indicated a moderate predictive value of GNRI for 28-day all-cause mortality (AUC=0.58, sensitivity=66.61%, specificity=45.62%, P<.001) and 365-day all-cause mortality (AUC=0.60, sensitivity=66.52%, specificity=51.28%, P<.001). Furthermore, the addition of GNRI significantly enhanced the predictive performance of the SAPSⅡ (AUC increased from 0.69 to 0.70, P=.02), SOFA (AUC increased from 0.73 to 0.74, P=.02), and LODS (AUC increased from 0.67 to 0.68, P=.03) scores, with these improvements achieving statistical significance. Conclusions: Admission GNRI is an independent risk factor for in-hospital mortality in ICU patients with heart failure complicated by sepsis. GNRI scores serve as a valuable prognostic indicator for assessing mortality risk in this patient population.

Keywords

Geriatric nutritional risk index / MIMIC-Ⅳ database / Heart failure / Sepsis

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Yameng Wang, Maosheng Wang, Ling Wang, Qi Tang, Yuanping Wang, Xiangyun Teng, Lili Jin. Geriatric nutritional risk index as a predictor of 28-day and 365-day mortality in patients with heart failure complicated by sepsis: A retrospective cohort study using the MIMIC-Ⅳ database. , 2026, 15 (1) : 4 DOI:10.4103/jad.jad_149_25

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Conflict of interest statement

The authors report no conflict of interest.

Funding

This work was supported by the Guangdong Provincial Second Hospital of Traditional Chinese Medicine Scientific Research Innovation Foundation (SEZYY2023B18); the University-Institute Joint Science and Technology Innovation Fund of Guangzhou University of Chinese Medicine (GZYSE2024G04); the Chinese Traditional Medicine Foundation of Guangdong (20251464); Medical Scientific Research Foundation of Guangdong (B2025323, A2024635); the Science and Technology Innovation Project of Maoming Municipality (2023SZY002; 2023SZY022); Sanming Project of Medicine in Shenzhen (No.SZZYSM202411012), and the Open Fund of the Key Laboratory of Traditional Chinese Medicine Research and Development of Guangdong Province (KFKT25001).

Data availability statement

The data supporting this bibliometric analysis are publicly available from the Web of Science Core Collection. Any additional details can be obtained from the corresponding authors upon reasonable request.

Authors’ contributions

WYM: Data curation, Formal analysis, Writing and original draft. WMS: Methodology, Software, Writing and original draft. WL: Resources, Software, Methodology and original draft. TQ: Conceptualization, Data curation, Writing and original draft. WYP: Supervision, Project administration, Writing and original draft. TYX: Investigation, Supervision, Writing and review. JLL: Conceptualization, Supervision, Writing review and editing.

Publisher’s note

The Publisher of the Journal remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

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