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How does HbA1c predict mortality and readmission in patients with heart failure? A protocol for systematic review and meta-analysis

BACKGROUND: Accumulating evidence suggests that HbA1c levels, a common clinical indicator of chronic glucose metabolism over the preceding 2–3 months, are independent risk factors for cardiovascular disease, including heart failure. However, conflicting evidence obscures clear cutoffs of HbA1c level...

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Autores principales: Xu, Jun-Peng, Zeng, Rui-Xiang, Mai, Xiao-Yi, Pan, Wen-Jun, Zhang, Yu-Zhuo, Zhang, Min-Zhou
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10007851/
https://www.ncbi.nlm.nih.gov/pubmed/36899409
http://dx.doi.org/10.1186/s13643-023-02179-4
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author Xu, Jun-Peng
Zeng, Rui-Xiang
Mai, Xiao-Yi
Pan, Wen-Jun
Zhang, Yu-Zhuo
Zhang, Min-Zhou
author_facet Xu, Jun-Peng
Zeng, Rui-Xiang
Mai, Xiao-Yi
Pan, Wen-Jun
Zhang, Yu-Zhuo
Zhang, Min-Zhou
author_sort Xu, Jun-Peng
collection PubMed
description BACKGROUND: Accumulating evidence suggests that HbA1c levels, a common clinical indicator of chronic glucose metabolism over the preceding 2–3 months, are independent risk factors for cardiovascular disease, including heart failure. However, conflicting evidence obscures clear cutoffs of HbA1c levels in various heart failure populations. The aim of this review is to assess the possible predictive value and optimal range of HbA1c on mortality and readmission in patients with heart failure. METHODS: A systematic and comprehensive search will be performed using PubMed, Embase, CINAHL, Scopus, and the Cochrane Library databases before December 2022 to identify relevant studies. All-cause mortality is the prespecified primary endpoint. Cardiovascular death and heart failure readmission are secondary endpoints of interest. We will only include prospective and retrospective cohort studies and place no restrictions on the language, race, region, or publication period. The ROBINS-I tool will be used to assess the quality of each included research. If there were sufficient studies, we will conduct a meta-analysis with pooled relative risks and corresponding 95% confidence intervals to evaluate the possible predictive value of HbA1c for mortality and readmission. Otherwise, we will undertake a narrative synthesis. Heterogeneity and publication bias will be assessed. If heterogeneity was significant among included studies, a sensitivity analysis or subgroup analysis will be used to explore the source of heterogeneity, such as diverse types of heart failure or patients with diabetes and non-diabetes. Additionally, we will conduct meta-regression to examine the time-effect and treatment-effect modifiers on all-cause mortality compared between different quantile of HbA1c levels. Finally, a restricted cubic spline model may be used to explore the dose-response relationship between HbA1c and adverse outcomes. DISCUSSION: This planned analysis is anticipated to identify the predictive value of HbA1c for mortality and readmission in patients with heart failure. Improved understanding of different HbA1c levels and their specific effect on diverse types of heart failure or patients with diabetes and non-diabetes is expected to be figured out. Importantly, a dose-response relationship or optimal range of HbA1c will be determined to instruct clinicians and patients. SYSTEMATIC REVIEW REGISTRATION: PROSPERO registration details: CRD42021276067 SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13643-023-02179-4.
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spelling pubmed-100078512023-03-12 How does HbA1c predict mortality and readmission in patients with heart failure? A protocol for systematic review and meta-analysis Xu, Jun-Peng Zeng, Rui-Xiang Mai, Xiao-Yi Pan, Wen-Jun Zhang, Yu-Zhuo Zhang, Min-Zhou Syst Rev Protocol BACKGROUND: Accumulating evidence suggests that HbA1c levels, a common clinical indicator of chronic glucose metabolism over the preceding 2–3 months, are independent risk factors for cardiovascular disease, including heart failure. However, conflicting evidence obscures clear cutoffs of HbA1c levels in various heart failure populations. The aim of this review is to assess the possible predictive value and optimal range of HbA1c on mortality and readmission in patients with heart failure. METHODS: A systematic and comprehensive search will be performed using PubMed, Embase, CINAHL, Scopus, and the Cochrane Library databases before December 2022 to identify relevant studies. All-cause mortality is the prespecified primary endpoint. Cardiovascular death and heart failure readmission are secondary endpoints of interest. We will only include prospective and retrospective cohort studies and place no restrictions on the language, race, region, or publication period. The ROBINS-I tool will be used to assess the quality of each included research. If there were sufficient studies, we will conduct a meta-analysis with pooled relative risks and corresponding 95% confidence intervals to evaluate the possible predictive value of HbA1c for mortality and readmission. Otherwise, we will undertake a narrative synthesis. Heterogeneity and publication bias will be assessed. If heterogeneity was significant among included studies, a sensitivity analysis or subgroup analysis will be used to explore the source of heterogeneity, such as diverse types of heart failure or patients with diabetes and non-diabetes. Additionally, we will conduct meta-regression to examine the time-effect and treatment-effect modifiers on all-cause mortality compared between different quantile of HbA1c levels. Finally, a restricted cubic spline model may be used to explore the dose-response relationship between HbA1c and adverse outcomes. DISCUSSION: This planned analysis is anticipated to identify the predictive value of HbA1c for mortality and readmission in patients with heart failure. Improved understanding of different HbA1c levels and their specific effect on diverse types of heart failure or patients with diabetes and non-diabetes is expected to be figured out. Importantly, a dose-response relationship or optimal range of HbA1c will be determined to instruct clinicians and patients. SYSTEMATIC REVIEW REGISTRATION: PROSPERO registration details: CRD42021276067 SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13643-023-02179-4. BioMed Central 2023-03-10 /pmc/articles/PMC10007851/ /pubmed/36899409 http://dx.doi.org/10.1186/s13643-023-02179-4 Text en © The Author(s) 2023 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 Protocol
Xu, Jun-Peng
Zeng, Rui-Xiang
Mai, Xiao-Yi
Pan, Wen-Jun
Zhang, Yu-Zhuo
Zhang, Min-Zhou
How does HbA1c predict mortality and readmission in patients with heart failure? A protocol for systematic review and meta-analysis
title How does HbA1c predict mortality and readmission in patients with heart failure? A protocol for systematic review and meta-analysis
title_full How does HbA1c predict mortality and readmission in patients with heart failure? A protocol for systematic review and meta-analysis
title_fullStr How does HbA1c predict mortality and readmission in patients with heart failure? A protocol for systematic review and meta-analysis
title_full_unstemmed How does HbA1c predict mortality and readmission in patients with heart failure? A protocol for systematic review and meta-analysis
title_short How does HbA1c predict mortality and readmission in patients with heart failure? A protocol for systematic review and meta-analysis
title_sort how does hba1c predict mortality and readmission in patients with heart failure? a protocol for systematic review and meta-analysis
topic Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10007851/
https://www.ncbi.nlm.nih.gov/pubmed/36899409
http://dx.doi.org/10.1186/s13643-023-02179-4
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