Evidence map›Paper›PMID 40050711›Full record

ArticleBMC cardiovascular disorders2025

Prognostic value of the Geriatric Nutritional Risk Index in mortality prediction among critically ill acute myocardial infarction patients.

Shanshan Tang, Chengcheng Wu, Yanbin Su, Yongle Li

Abstract read
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Article in BMC cardiovascular disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–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.

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2 · The registry

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

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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

4 authors.

Shanshan Tang *Department of Cardiology, Tianjin Medical University General Hospital, Tianjin Medical University, 154, Anshan Road, Heping District, Tianjin, China.
Chengcheng Wu *Department of Cardiology, Tianjin Medical University General Hospital, Tianjin Medical University, 154, Anshan Road, Heping District, Tianjin, China.
Yanbin Su *Department of Cardiology, Tianjin Medical University General Hospital, Tianjin Medical University, 154, Anshan Road, Heping District, Tianjin, China.
Yongle LiDepartment of Cardiology, Tianjin Medical University General Hospital, Tianjin Medical University, 154, Anshan Road, Heping District, Tianjin, China. liyongle@aliyun.com.

Funding

the Tianjin Science and Technology Bureau - Research on Intelligent 3D Quantitative Analysis Technology of Coronary Bifurcation Lesions Using Optical Coherence Tomography (OCT) 24YDTPJC00360
6 · The paper itself

Abstract

backgroundNutritional status is a key factor influencing outcomes in critically ill patients with acute myocardial infarction (AMI). This study investigated the association between the Geriatric Nutritional Risk Index (GNRI) and mortality among ICU-admitted AMI patients, as well as GNRI's potential to improve the predictive accuracy of current scoring systems.

methodsIn this retrospective cohort study, data from 5,506 ICU-admitted AMI patients were sourced from three open-access critical care databases. Based on GNRI scores, patients were grouped into two categories: GNRI ≤ 98 and GNRI > 98. Statistical tools such as logistic regression and Cox proportional hazards models assessed in-hospital and 30-day mortality. Kaplan-Meier survival curves and restricted cubic splines analyzed survival trends and dose-response relationships. Sensitivity analyses, including propensity score matching (PSM), inverse probability weighting (IPW), and dropping missing data analysis validated the robustness of findings. The receiver operating characteristic (ROC) curve compared GNRI's predictive ability with SOFA and APSIII scores. A sensitivity analysis was performed using a four-tier GNRI classification: no risk (> 98), low risk (92-98), moderate risk (82-<92), and major risk (< 82) to further explore its gradient relationship with mortality.

resultsPatients with GNRI ≤ 98 showed higher mortality rates for in-hospital (21.8% vs. 10.4%) and 30-day (22.5% vs. 10.7%) outcomes. GNRI displayed an inverse correlation with in-hospital mortality (OR 0.51, 95% CI 0.43-0.60) and 30-day mortality (HR 0.57, 95% CI 0.50-0.66), even after adjusting for confounders. Subgroup analysis emphasized GNRI's reliability as a predictive marker, particularly in patients with eGFR ≥ 90. ROC analysis confirmed GNRI's predictive performance (AUC = 0.64) and its enhancement of SOFA (AUC = 0.72) and APSIII (AUC = 0.66) scores (all p < 0.001). Sensitivity analyses reinforced GNRI's link to mortality.

conclusionGNRI serves as a robust predictor of in-hospital and 30-day mortality among critically ill AMI patients. Its integration with existing scoring systems improves risk stratification in this high-risk population.

Indexed as

Decision Support TechniquesGeriatric AssessmentMalnutritionMyocardial InfarctionNutritional StatusNutrition AssessmentAgedAged, 80 and overAge FactorsCritical IllnessDatabases, FactualFemaleHospital MortalityHumansIntensive Care UnitsMaleAcute myocardial infarctionCritical careGeriatric nutritional risk indexMortalityNutritional statusRisk prediction

Identifiers

PMID40050711
PMCPMC11883953

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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.