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糖化血红蛋白(HbA1c)如何预测心力衰竭患者的死亡率和再入院率?系统评价和荟萃分析方案。

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

机构信息

The Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, 510405, China.

The Guangzhou University of Chinese Medicine, Guangzhou, 510405, China.

出版信息

Syst Rev. 2023 Mar 10;12(1):35. doi: 10.1186/s13643-023-02179-4.

Abstract

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.

摘要

背景

越来越多的证据表明,HbA1c 水平是过去 2-3 个月内慢性葡萄糖代谢的常用临床指标,是心血管疾病(包括心力衰竭)的独立危险因素。然而,相互矛盾的证据使得各种心力衰竭人群中 HbA1c 水平的明确截断值变得模糊不清。本综述的目的是评估 HbA1c 水平对心力衰竭患者死亡率和再入院率的可能预测价值和最佳范围。

方法

我们将在 2022 年 12 月之前,通过 PubMed、Embase、CINAHL、Scopus 和 Cochrane Library 数据库进行系统全面的检索,以确定相关研究。全因死亡率是预先指定的主要终点。心血管死亡和心力衰竭再入院是感兴趣的次要终点。我们仅纳入前瞻性和回顾性队列研究,且不限制语言、种族、地区或出版时间。将使用 ROBINS-I 工具评估每个纳入研究的质量。如果有足够的研究,我们将进行荟萃分析,合并相对风险和相应的 95%置信区间,以评估 HbA1c 对死亡率和再入院的可能预测价值。否则,我们将进行叙述性综合分析。将评估异质性和发表偏倚。如果纳入研究之间存在显著异质性,将进行敏感性分析或亚组分析,以探索异质性的来源,例如不同类型的心力衰竭或糖尿病和非糖尿病患者。此外,我们将进行荟萃回归分析,以比较不同 HbA1c 水平定量之间全因死亡率的时间效应和治疗效应修饰剂。最后,可能会使用限制性立方样条模型来探索 HbA1c 与不良结局之间的剂量反应关系。

讨论

该分析预计将确定 HbA1c 对心力衰竭患者死亡率和再入院率的预测价值。预计将更好地了解不同的 HbA1c 水平及其对不同类型的心力衰竭或糖尿病和非糖尿病患者的具体影响。重要的是,将确定 HbA1c 的剂量反应关系或最佳范围,以指导临床医生和患者。

系统评价注册

PROSPERO 注册详细信息:CRD42021276067。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f13/10007851/ac99e105cf55/13643_2023_2179_Fig1_HTML.jpg

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