Evidence map›Paper›PMID 37403066›Full record

ArticleBMC cardiovascular disorders2023

The prognostic nutritional index predicts all-cause mortality in critically ill patients with acute myocardial infarction.

Yuekang Huang, Qunhui Zhang, Pengfei Li, Meixiang Chen, Ruixin Wang, Jiaman Hu, Jianing Chi, Hua Cai, Ningxia Wu, Lin Xu

Open access · goldAbstract read
In one paragraph

Article in BMC cardiovascular disorders, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 2 pooled it
7.4field-weighted citation impact, top 2% of its field
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

25 citing papers in PubMed, 2 syntheses or guidelines pooled it, 42 citations in OpenAlex.

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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

10 authors at 4 institutions in 1 country.

Yuekang Huang *Department of Geriatric Cardiology, General Hospital of the Southern Theatre Command, Guangzhou, 510000, China.
Qunhui Zhang *Department of Cardiology, The First Affiliated Hospital, University of South China, Hengyang, 421001, China.
Pengfei LiDepartment of Geriatric Cardiology, General Hospital of the Southern Theatre Command, Guangzhou, 510000, China.
Meixiang ChenThe First School of Clinical Medicine, Southern Medical University, Guangzhou, 510000, China.
Ruixin WangDepartment of Geriatric Cardiology, General Hospital of the Southern Theatre Command, Guangzhou, 510000, China.
Jiaman HuDepartment of Geriatric Cardiology, General Hospital of the Southern Theatre Command, Guangzhou, 510000, China.
Jianing ChiDepartment of Geriatric Cardiology, General Hospital of the Southern Theatre Command, Guangzhou, 510000, China.
Hua CaiDepartment of Geriatric Cardiology, General Hospital of the Southern Theatre Command, Guangzhou, 510000, China.
Ningxia WuDepartment of Geriatric Cardiology, General Hospital of the Southern Theatre Command, Guangzhou, 510000, China.
Lin XuDepartment of Geriatric Cardiology, General Hospital of the Southern Theatre Command, Guangzhou, 510000, China. xxgnk_xlin@126.com.
Chinese PLA General Hospital · CNSouthern Medical University · CNThird Affiliated Hospital of Southern Medical University · CNFirst Affiliated Hospital of University of South China · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMalnutrition is common in patients with acute myocardial infarction (AMI) and is associated with a poor prognosis. The prognostic value of the prognostic nutritional index (PNI) in patients with AMI remains controversial. We aimed to explore the relationship between PNI and all-cause mortality in critically ill patients with AMI and evaluate the incremental prognostic value of PNI to commonly used prognostic assessment tools.

methodsThe Medical Information Mart for Intensive Care-IV (MIMIC-IV) database was used to conduct a retrospective cohort analysis on 1180 critically ill patients with AMI. The primary endpoints were defined as 6-month and 1-year all-cause mortality. Cox regression analysis was used to investigate the relationship between admission PNI and all-cause mortality. The effect of adding PNI to sequential organ failure assessment (SOFA) score, or charlson comorbidity index (CCI) on its discriminative ability was assessed using C-statistic, net reclassification improvement (NRI), and integrated discrimination improvement (IDI).

resultsMultivariate cox regression analysis demonstrated that the low PNI was regarded as an independent predictor of 1-year all-cause mortality in AMI patients admitted to ICU (adjusted Hazard Ratio: 95% CI = 1.75 (1.22-2.49)). The ROC test showed that admission PNI had a moderate predictive ability to predict all-cause mortality of critically ill patients with AMI. Furthermore, the net reclassification and integrated discrimination of the CCI alone model improved significantly with PNI. [C-statistic increased from 0.669 to 0.752, p < 0.001; NRI = 0.698, p < 0.001; IDI = 0.073, p < 0.001]. When PNI was added to the SOFA score, the C-statistic significantly improved from 0.770 to 0.805 (p < 0.001), and the NRI and IDI were estimated at 0.573 (p < 0.001) and 0.041 (p < 0.001), respectively.

conclusionPNI could be a novel predictor for identifying patients at high risk of 1-year all-cause mortality in critically ill patients with AMI. The addition of PNI to the SOFA score or CCI may be useful for very early risk stratification.

Indexed as

Myocardial InfarctionNutrition AssessmentCritical IllnessHumansPrognosisRetrospective StudiesAcute myocardial infarctionAll-cause mortalityIntensive care unitPrognosisPrognostic nutritional index

Identifiers

PMID37403066
PMCPMC10318819
OpenAlexW4383068702

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Registered trials

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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.