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Readmission Following Perioperative Myocardial Injury: Clinical Predictors and Impact on Mortality
BACKGROUND: Perioperative myocardial injury (PMI) following noncardiac surgery is associated with a high risk for mortality, and readmission within 30 days of PMI increases this risk. Identifying risk factors for readmission among survivors of PMI is critical to improving outcomes in PMI. We examine...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9392591/ https://www.ncbi.nlm.nih.gov/pubmed/35996536 http://dx.doi.org/10.1155/2022/7674962 |
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author | Anzelmi, Alex Khalil, Yasser Matsumura, Martin E. |
author_facet | Anzelmi, Alex Khalil, Yasser Matsumura, Martin E. |
author_sort | Anzelmi, Alex |
collection | PubMed |
description | BACKGROUND: Perioperative myocardial injury (PMI) following noncardiac surgery is associated with a high risk for mortality, and readmission within 30 days of PMI increases this risk. Identifying risk factors for readmission among survivors of PMI is critical to improving outcomes in PMI. We examined risk factors for readmission following discharge after surgery complicated by PMI and the effect of readmission on 1-year mortality. METHODS: The study is a retropective cohort analysis of patients diagnosed with PMI in a single health system over a 10-year period. Univariate predictors of readmission were used to construct a multivariable logistic regression model. Mortality was assessed using Kaplan–Meyer survival analysis. RESULTS: Of the 207,729 surgical patients, 5159 (2.5%) had PMI. By 30 days following PMI, 1254 patients (24.3%) died, 1142 (22.2%) were readmitted but alive at 30 days, and 2763 patients (53.5%) were alive and had not been readmitted. Readmitted patients were older, had higher peak troponin levels, and were more likely to have prior coronary, neoplastic, lung, and kidney disease. Multivariable logistic regression revealed increasing age and peak troponin, prior cancer diagnosis, and chronic lung and kidney disease as independent predictors of readmission. Readmitted patients had higher 1-year mortality than those not readmitted (33.9% vs. 22.2%, p < 0.001). CONCLUSIONS: Readmission following PMI is associated with increased mortality in the following year. Patients suffering from PMI who are at risk of readmission are older, have a greater extent of myocardial injury, and are more likely to have chronic comorbidities. Identification of patients at risk of readmission following PMI is critical to improving both outcomes and utilization of hospital resources. |
format | Online Article Text |
id | pubmed-9392591 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-93925912022-08-21 Readmission Following Perioperative Myocardial Injury: Clinical Predictors and Impact on Mortality Anzelmi, Alex Khalil, Yasser Matsumura, Martin E. Crit Care Res Pract Research Article BACKGROUND: Perioperative myocardial injury (PMI) following noncardiac surgery is associated with a high risk for mortality, and readmission within 30 days of PMI increases this risk. Identifying risk factors for readmission among survivors of PMI is critical to improving outcomes in PMI. We examined risk factors for readmission following discharge after surgery complicated by PMI and the effect of readmission on 1-year mortality. METHODS: The study is a retropective cohort analysis of patients diagnosed with PMI in a single health system over a 10-year period. Univariate predictors of readmission were used to construct a multivariable logistic regression model. Mortality was assessed using Kaplan–Meyer survival analysis. RESULTS: Of the 207,729 surgical patients, 5159 (2.5%) had PMI. By 30 days following PMI, 1254 patients (24.3%) died, 1142 (22.2%) were readmitted but alive at 30 days, and 2763 patients (53.5%) were alive and had not been readmitted. Readmitted patients were older, had higher peak troponin levels, and were more likely to have prior coronary, neoplastic, lung, and kidney disease. Multivariable logistic regression revealed increasing age and peak troponin, prior cancer diagnosis, and chronic lung and kidney disease as independent predictors of readmission. Readmitted patients had higher 1-year mortality than those not readmitted (33.9% vs. 22.2%, p < 0.001). CONCLUSIONS: Readmission following PMI is associated with increased mortality in the following year. Patients suffering from PMI who are at risk of readmission are older, have a greater extent of myocardial injury, and are more likely to have chronic comorbidities. Identification of patients at risk of readmission following PMI is critical to improving both outcomes and utilization of hospital resources. Hindawi 2022-08-13 /pmc/articles/PMC9392591/ /pubmed/35996536 http://dx.doi.org/10.1155/2022/7674962 Text en Copyright © 2022 Alex Anzelmi et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Anzelmi, Alex Khalil, Yasser Matsumura, Martin E. Readmission Following Perioperative Myocardial Injury: Clinical Predictors and Impact on Mortality |
title | Readmission Following Perioperative Myocardial Injury: Clinical Predictors and Impact on Mortality |
title_full | Readmission Following Perioperative Myocardial Injury: Clinical Predictors and Impact on Mortality |
title_fullStr | Readmission Following Perioperative Myocardial Injury: Clinical Predictors and Impact on Mortality |
title_full_unstemmed | Readmission Following Perioperative Myocardial Injury: Clinical Predictors and Impact on Mortality |
title_short | Readmission Following Perioperative Myocardial Injury: Clinical Predictors and Impact on Mortality |
title_sort | readmission following perioperative myocardial injury: clinical predictors and impact on mortality |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9392591/ https://www.ncbi.nlm.nih.gov/pubmed/35996536 http://dx.doi.org/10.1155/2022/7674962 |
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