Cargando…

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

BACKGROUND: Malnutrition 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 mor...

Descripción completa

Detalles Bibliográficos
Autores principales: Huang, Yuekang, Zhang, Qunhui, Li, Pengfei, Chen, Meixiang, Wang, Ruixin, Hu, Jiaman, Chi, Jianing, Cai, Hua, Wu, Ningxia, Xu, Lin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10318819/
https://www.ncbi.nlm.nih.gov/pubmed/37403066
http://dx.doi.org/10.1186/s12872-023-03350-4
_version_ 1785068123011940352
author Huang, Yuekang
Zhang, Qunhui
Li, Pengfei
Chen, Meixiang
Wang, Ruixin
Hu, Jiaman
Chi, Jianing
Cai, Hua
Wu, Ningxia
Xu, Lin
author_facet Huang, Yuekang
Zhang, Qunhui
Li, Pengfei
Chen, Meixiang
Wang, Ruixin
Hu, Jiaman
Chi, Jianing
Cai, Hua
Wu, Ningxia
Xu, Lin
author_sort Huang, Yuekang
collection PubMed
description BACKGROUND: Malnutrition 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. METHODS: The 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). RESULTS: Multivariate 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. CONCLUSION: PNI 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12872-023-03350-4.
format Online
Article
Text
id pubmed-10318819
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-103188192023-07-05 The prognostic nutritional index predicts all-cause mortality in critically ill patients with acute myocardial infarction Huang, Yuekang Zhang, Qunhui Li, Pengfei Chen, Meixiang Wang, Ruixin Hu, Jiaman Chi, Jianing Cai, Hua Wu, Ningxia Xu, Lin BMC Cardiovasc Disord Research BACKGROUND: Malnutrition 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. METHODS: The 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). RESULTS: Multivariate 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. CONCLUSION: PNI 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12872-023-03350-4. BioMed Central 2023-07-04 /pmc/articles/PMC10318819/ /pubmed/37403066 http://dx.doi.org/10.1186/s12872-023-03350-4 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Huang, Yuekang
Zhang, Qunhui
Li, Pengfei
Chen, Meixiang
Wang, Ruixin
Hu, Jiaman
Chi, Jianing
Cai, Hua
Wu, Ningxia
Xu, Lin
The prognostic nutritional index predicts all-cause mortality in critically ill patients with acute myocardial infarction
title The prognostic nutritional index predicts all-cause mortality in critically ill patients with acute myocardial infarction
title_full The prognostic nutritional index predicts all-cause mortality in critically ill patients with acute myocardial infarction
title_fullStr The prognostic nutritional index predicts all-cause mortality in critically ill patients with acute myocardial infarction
title_full_unstemmed The prognostic nutritional index predicts all-cause mortality in critically ill patients with acute myocardial infarction
title_short The prognostic nutritional index predicts all-cause mortality in critically ill patients with acute myocardial infarction
title_sort prognostic nutritional index predicts all-cause mortality in critically ill patients with acute myocardial infarction
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10318819/
https://www.ncbi.nlm.nih.gov/pubmed/37403066
http://dx.doi.org/10.1186/s12872-023-03350-4
work_keys_str_mv AT huangyuekang theprognosticnutritionalindexpredictsallcausemortalityincriticallyillpatientswithacutemyocardialinfarction
AT zhangqunhui theprognosticnutritionalindexpredictsallcausemortalityincriticallyillpatientswithacutemyocardialinfarction
AT lipengfei theprognosticnutritionalindexpredictsallcausemortalityincriticallyillpatientswithacutemyocardialinfarction
AT chenmeixiang theprognosticnutritionalindexpredictsallcausemortalityincriticallyillpatientswithacutemyocardialinfarction
AT wangruixin theprognosticnutritionalindexpredictsallcausemortalityincriticallyillpatientswithacutemyocardialinfarction
AT hujiaman theprognosticnutritionalindexpredictsallcausemortalityincriticallyillpatientswithacutemyocardialinfarction
AT chijianing theprognosticnutritionalindexpredictsallcausemortalityincriticallyillpatientswithacutemyocardialinfarction
AT caihua theprognosticnutritionalindexpredictsallcausemortalityincriticallyillpatientswithacutemyocardialinfarction
AT wuningxia theprognosticnutritionalindexpredictsallcausemortalityincriticallyillpatientswithacutemyocardialinfarction
AT xulin theprognosticnutritionalindexpredictsallcausemortalityincriticallyillpatientswithacutemyocardialinfarction
AT huangyuekang prognosticnutritionalindexpredictsallcausemortalityincriticallyillpatientswithacutemyocardialinfarction
AT zhangqunhui prognosticnutritionalindexpredictsallcausemortalityincriticallyillpatientswithacutemyocardialinfarction
AT lipengfei prognosticnutritionalindexpredictsallcausemortalityincriticallyillpatientswithacutemyocardialinfarction
AT chenmeixiang prognosticnutritionalindexpredictsallcausemortalityincriticallyillpatientswithacutemyocardialinfarction
AT wangruixin prognosticnutritionalindexpredictsallcausemortalityincriticallyillpatientswithacutemyocardialinfarction
AT hujiaman prognosticnutritionalindexpredictsallcausemortalityincriticallyillpatientswithacutemyocardialinfarction
AT chijianing prognosticnutritionalindexpredictsallcausemortalityincriticallyillpatientswithacutemyocardialinfarction
AT caihua prognosticnutritionalindexpredictsallcausemortalityincriticallyillpatientswithacutemyocardialinfarction
AT wuningxia prognosticnutritionalindexpredictsallcausemortalityincriticallyillpatientswithacutemyocardialinfarction
AT xulin prognosticnutritionalindexpredictsallcausemortalityincriticallyillpatientswithacutemyocardialinfarction