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Sarcopenia predicts adverse outcomes in an elderly population with coronary artery disease: a systematic review and meta-analysis

BACKGROUND: The development of sarcopenia is attributed to normal aging and factors like type 2 diabetes, obesity, inactivity, reduced testosterone levels, and malnutrition, which are factors of poor prognosis in patients with coronary artery disease (CAD). This study aimed to perform a meta-analysi...

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Autores principales: Xue, Qiqi, Wu, Jie, Ren, Yan, Hu, Jiaan, Yang, Ke, Cao, Jiumei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8439080/
https://www.ncbi.nlm.nih.gov/pubmed/34521369
http://dx.doi.org/10.1186/s12877-021-02438-w
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author Xue, Qiqi
Wu, Jie
Ren, Yan
Hu, Jiaan
Yang, Ke
Cao, Jiumei
author_facet Xue, Qiqi
Wu, Jie
Ren, Yan
Hu, Jiaan
Yang, Ke
Cao, Jiumei
author_sort Xue, Qiqi
collection PubMed
description BACKGROUND: The development of sarcopenia is attributed to normal aging and factors like type 2 diabetes, obesity, inactivity, reduced testosterone levels, and malnutrition, which are factors of poor prognosis in patients with coronary artery disease (CAD). This study aimed to perform a meta-analysis to assess whether preoperative sarcopenia can be used to predict the outcomes after cardiac surgery in elderly patients with CAD. METHODS: PubMed, Embase, the Cochrane library, and Web of Science were searched for available papers published up to December 2020. The primary outcome was major adverse cardiovascular outcomes (MACE). The secondary outcomes were mortality and heart failure (HF)-related hospitalization. The random-effects model was used. Hazard ratios (HRs) with 95% confidence intervals (95%CIs) were estimated. RESULTS: Ten studies were included, with 3707 patients followed for 6 months to 4.5 ± 2.3 years. The sarcopenia population had a higher rate of MACE compared to the non-sarcopenia population (HR = 2.27, 95%CI: 1.58–3.27, P < 0.001; I(2) = 60.0%, P(heterogeneity) = 0.02). The association between sarcopenia and MACE was significant when using the psoas muscle area index (PMI) to define sarcopenia (HR = 2.86, 95%CI: 1.84–4.46, P < 0.001; I(2) = 0%, P(heterogeneity) = 0.604). Sarcopenia was not associated with higher late mortality (HR = 2.15, 95%CI: 0.89–5.22, P = 0.090; I(2) = 91.0%, P(heterogeneity) < 0.001), all-cause mortality (HR = 1.35, 95%CI: 0.14–12.84, P = 0.792; I(2) = 90.5%, P(heterogeneity) = 0.001), and death, HF-related hospitalization (HR = 1.37, 95%CI: 0.59–3.16, P = 0.459; I(2) = 62.0%, P(heterogeneity) = 0.105). The sensitivity analysis revealed no outlying study in the analysis of the association between sarcopenia and MACE after coronary intervention. CONCLUSION: Sarcopenia is associated with poor MACE outcomes in patients with CAD. The results could help determine subpopulations of patients needing special monitoring after CAD surgery. The present study included several kinds of participants; although non-heterogeneity was found, interpretation should be cautious. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12877-021-02438-w.
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spelling pubmed-84390802021-09-14 Sarcopenia predicts adverse outcomes in an elderly population with coronary artery disease: a systematic review and meta-analysis Xue, Qiqi Wu, Jie Ren, Yan Hu, Jiaan Yang, Ke Cao, Jiumei BMC Geriatr Research BACKGROUND: The development of sarcopenia is attributed to normal aging and factors like type 2 diabetes, obesity, inactivity, reduced testosterone levels, and malnutrition, which are factors of poor prognosis in patients with coronary artery disease (CAD). This study aimed to perform a meta-analysis to assess whether preoperative sarcopenia can be used to predict the outcomes after cardiac surgery in elderly patients with CAD. METHODS: PubMed, Embase, the Cochrane library, and Web of Science were searched for available papers published up to December 2020. The primary outcome was major adverse cardiovascular outcomes (MACE). The secondary outcomes were mortality and heart failure (HF)-related hospitalization. The random-effects model was used. Hazard ratios (HRs) with 95% confidence intervals (95%CIs) were estimated. RESULTS: Ten studies were included, with 3707 patients followed for 6 months to 4.5 ± 2.3 years. The sarcopenia population had a higher rate of MACE compared to the non-sarcopenia population (HR = 2.27, 95%CI: 1.58–3.27, P < 0.001; I(2) = 60.0%, P(heterogeneity) = 0.02). The association between sarcopenia and MACE was significant when using the psoas muscle area index (PMI) to define sarcopenia (HR = 2.86, 95%CI: 1.84–4.46, P < 0.001; I(2) = 0%, P(heterogeneity) = 0.604). Sarcopenia was not associated with higher late mortality (HR = 2.15, 95%CI: 0.89–5.22, P = 0.090; I(2) = 91.0%, P(heterogeneity) < 0.001), all-cause mortality (HR = 1.35, 95%CI: 0.14–12.84, P = 0.792; I(2) = 90.5%, P(heterogeneity) = 0.001), and death, HF-related hospitalization (HR = 1.37, 95%CI: 0.59–3.16, P = 0.459; I(2) = 62.0%, P(heterogeneity) = 0.105). The sensitivity analysis revealed no outlying study in the analysis of the association between sarcopenia and MACE after coronary intervention. CONCLUSION: Sarcopenia is associated with poor MACE outcomes in patients with CAD. The results could help determine subpopulations of patients needing special monitoring after CAD surgery. The present study included several kinds of participants; although non-heterogeneity was found, interpretation should be cautious. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12877-021-02438-w. BioMed Central 2021-09-14 /pmc/articles/PMC8439080/ /pubmed/34521369 http://dx.doi.org/10.1186/s12877-021-02438-w Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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
Xue, Qiqi
Wu, Jie
Ren, Yan
Hu, Jiaan
Yang, Ke
Cao, Jiumei
Sarcopenia predicts adverse outcomes in an elderly population with coronary artery disease: a systematic review and meta-analysis
title Sarcopenia predicts adverse outcomes in an elderly population with coronary artery disease: a systematic review and meta-analysis
title_full Sarcopenia predicts adverse outcomes in an elderly population with coronary artery disease: a systematic review and meta-analysis
title_fullStr Sarcopenia predicts adverse outcomes in an elderly population with coronary artery disease: a systematic review and meta-analysis
title_full_unstemmed Sarcopenia predicts adverse outcomes in an elderly population with coronary artery disease: a systematic review and meta-analysis
title_short Sarcopenia predicts adverse outcomes in an elderly population with coronary artery disease: a systematic review and meta-analysis
title_sort sarcopenia predicts adverse outcomes in an elderly population with coronary artery disease: a systematic review and meta-analysis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8439080/
https://www.ncbi.nlm.nih.gov/pubmed/34521369
http://dx.doi.org/10.1186/s12877-021-02438-w
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