Cargando…

Frailty index based on laboratory tests improves prediction of short-and long-term mortality in patients with critical acute myocardial infarction

BACKGROUND: Previous studies have shown that the frailty index based on laboratory tests (FI-Lab) can identify older adults at increased risk of adverse health outcomes. This study aimed to determine whether the FI-Lab is associated with mortality risk and can provide incremental improvements in ris...

Descripción completa

Detalles Bibliográficos
Autores principales: Bai, Weimin, Hao, Benchuan, Xu, Lijun, Qin, Ji, Xu, Weihao, Qin, Lijie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9763273/
https://www.ncbi.nlm.nih.gov/pubmed/36561712
http://dx.doi.org/10.3389/fmed.2022.1070951
_version_ 1784853019575189504
author Bai, Weimin
Hao, Benchuan
Xu, Lijun
Qin, Ji
Xu, Weihao
Qin, Lijie
author_facet Bai, Weimin
Hao, Benchuan
Xu, Lijun
Qin, Ji
Xu, Weihao
Qin, Lijie
author_sort Bai, Weimin
collection PubMed
description BACKGROUND: Previous studies have shown that the frailty index based on laboratory tests (FI-Lab) can identify older adults at increased risk of adverse health outcomes. This study aimed to determine whether the FI-Lab is associated with mortality risk and can provide incremental improvements in risk stratification of patients with critical acute myocardial infarction (AMI). MATERIALS AND METHODS: We conducted a secondary analysis of data from the Medical Information Mart for Intensive Care (MIMIC)-IV database. A 33-item FI-Lab was constructed. Outcomes of interest were in-hospital and 1-year mortality. Logistic regression models were used to investigate the association between the FI-Lab and outcomes. For the assessment of the incremental predictive value, the FI-Lab was added to several risk stratification scoring systems for critically ill patients, and the following indices were calculated: Δ C-statistic, integrated discrimination improvement (IDI), and net reclassification improvement (NRI). RESULTS: Out of 2,159 patients, 477 died in hospital (22.1%), and 898 died during the 1-year follow-up period. After adjustment for confounders, the FI-Lab was associated with increased in-hospital mortality [odds ratio (OR) = 1.06, 95% confidence interval (CI): 1.05–1.07] and 1-year mortality (OR = 1.05, 95% CI: 1.04–1.06) when assessed as a continuous variable (per 0.01-score increase). When assessed as a categorical variable, the FI-Lab was associated with in-hospital mortality (2nd Quartile: OR = 1.89, 95% CI: 1.18–3.03; 3rd Quartile: OR = 3.46, 95% CI: 2.20–5.46; and 4th Quartile: OR = 5.79, 95% CI: 3.61–9.28 compared to 1st Quartile) as well as 1-year mortality (2nd Quartile: OR = 1.66, 95% CI: 1.23–2.24; 3rd Quartile: OR = 2.40, 95% CI: 1.76–3.26; and 4th Quartile: OR = 3.76, 95% CI: 2.66–5.30 compared to 1st Quartile) after adjustment for confounders. The addition of the FI-Lab to all disease severity scores improved discrimination and significantly reclassified in-hospital and 1-year mortality risk. CONCLUSION: The FI-Lab was a strong predictor of short- and long-term mortality in patients with critical AMI. The FI-Lab improved the ability to predict mortality in patients with critical AMI and therefore might be useful in the clinical decision-making process.
format Online
Article
Text
id pubmed-9763273
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-97632732022-12-21 Frailty index based on laboratory tests improves prediction of short-and long-term mortality in patients with critical acute myocardial infarction Bai, Weimin Hao, Benchuan Xu, Lijun Qin, Ji Xu, Weihao Qin, Lijie Front Med (Lausanne) Medicine BACKGROUND: Previous studies have shown that the frailty index based on laboratory tests (FI-Lab) can identify older adults at increased risk of adverse health outcomes. This study aimed to determine whether the FI-Lab is associated with mortality risk and can provide incremental improvements in risk stratification of patients with critical acute myocardial infarction (AMI). MATERIALS AND METHODS: We conducted a secondary analysis of data from the Medical Information Mart for Intensive Care (MIMIC)-IV database. A 33-item FI-Lab was constructed. Outcomes of interest were in-hospital and 1-year mortality. Logistic regression models were used to investigate the association between the FI-Lab and outcomes. For the assessment of the incremental predictive value, the FI-Lab was added to several risk stratification scoring systems for critically ill patients, and the following indices were calculated: Δ C-statistic, integrated discrimination improvement (IDI), and net reclassification improvement (NRI). RESULTS: Out of 2,159 patients, 477 died in hospital (22.1%), and 898 died during the 1-year follow-up period. After adjustment for confounders, the FI-Lab was associated with increased in-hospital mortality [odds ratio (OR) = 1.06, 95% confidence interval (CI): 1.05–1.07] and 1-year mortality (OR = 1.05, 95% CI: 1.04–1.06) when assessed as a continuous variable (per 0.01-score increase). When assessed as a categorical variable, the FI-Lab was associated with in-hospital mortality (2nd Quartile: OR = 1.89, 95% CI: 1.18–3.03; 3rd Quartile: OR = 3.46, 95% CI: 2.20–5.46; and 4th Quartile: OR = 5.79, 95% CI: 3.61–9.28 compared to 1st Quartile) as well as 1-year mortality (2nd Quartile: OR = 1.66, 95% CI: 1.23–2.24; 3rd Quartile: OR = 2.40, 95% CI: 1.76–3.26; and 4th Quartile: OR = 3.76, 95% CI: 2.66–5.30 compared to 1st Quartile) after adjustment for confounders. The addition of the FI-Lab to all disease severity scores improved discrimination and significantly reclassified in-hospital and 1-year mortality risk. CONCLUSION: The FI-Lab was a strong predictor of short- and long-term mortality in patients with critical AMI. The FI-Lab improved the ability to predict mortality in patients with critical AMI and therefore might be useful in the clinical decision-making process. Frontiers Media S.A. 2022-12-06 /pmc/articles/PMC9763273/ /pubmed/36561712 http://dx.doi.org/10.3389/fmed.2022.1070951 Text en Copyright © 2022 Bai, Hao, Xu, Qin, Xu and Qin. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Medicine
Bai, Weimin
Hao, Benchuan
Xu, Lijun
Qin, Ji
Xu, Weihao
Qin, Lijie
Frailty index based on laboratory tests improves prediction of short-and long-term mortality in patients with critical acute myocardial infarction
title Frailty index based on laboratory tests improves prediction of short-and long-term mortality in patients with critical acute myocardial infarction
title_full Frailty index based on laboratory tests improves prediction of short-and long-term mortality in patients with critical acute myocardial infarction
title_fullStr Frailty index based on laboratory tests improves prediction of short-and long-term mortality in patients with critical acute myocardial infarction
title_full_unstemmed Frailty index based on laboratory tests improves prediction of short-and long-term mortality in patients with critical acute myocardial infarction
title_short Frailty index based on laboratory tests improves prediction of short-and long-term mortality in patients with critical acute myocardial infarction
title_sort frailty index based on laboratory tests improves prediction of short-and long-term mortality in patients with critical acute myocardial infarction
topic Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9763273/
https://www.ncbi.nlm.nih.gov/pubmed/36561712
http://dx.doi.org/10.3389/fmed.2022.1070951
work_keys_str_mv AT baiweimin frailtyindexbasedonlaboratorytestsimprovespredictionofshortandlongtermmortalityinpatientswithcriticalacutemyocardialinfarction
AT haobenchuan frailtyindexbasedonlaboratorytestsimprovespredictionofshortandlongtermmortalityinpatientswithcriticalacutemyocardialinfarction
AT xulijun frailtyindexbasedonlaboratorytestsimprovespredictionofshortandlongtermmortalityinpatientswithcriticalacutemyocardialinfarction
AT qinji frailtyindexbasedonlaboratorytestsimprovespredictionofshortandlongtermmortalityinpatientswithcriticalacutemyocardialinfarction
AT xuweihao frailtyindexbasedonlaboratorytestsimprovespredictionofshortandlongtermmortalityinpatientswithcriticalacutemyocardialinfarction
AT qinlijie frailtyindexbasedonlaboratorytestsimprovespredictionofshortandlongtermmortalityinpatientswithcriticalacutemyocardialinfarction