心血管风险与 COVID-19 大流行:基于人群的病例对照研究。

IF 3.2 2区 医学 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Małgorzata Chlabicz, Jacek Jamiołkowski, Marlena Dubatówka, Sebastian Sołomacha, Magdalena Chlabicz, Natalia Zieleniewska, Paweł Sowa, Anna Szpakowicz, Anna M Moniuszko-Malinowska, Robert Flisiak, Marcin Moniuszko, Karol A Kamiński
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引用次数: 0

摘要

背景:2019 年冠状病毒病(COVID-19)大流行与全世界发病率和死亡率的增加有关。SARS-CoV-2如何导致心血管(CV)并发症的机制正在研究中。本研究旨在评估 COVID-19 大流行对心血管疾病风险的影响:这些研究是以比亚尔斯托克 PLUS(波兰)为单中心的人群和病例对照研究。调查时间为 2018 年至 2022 年,调查对象为欧洲中部一个大城市的居民样本(n = 1507)和感染 COVID-19 后 6-9 个月的患者样本(n = 126)。研究采用了系统性冠状动脉风险估计 2(SCORE2)、系统性冠状动脉风险估计 2-老年人(SCORE2-OP)、心血管疾病弗雷明汉心脏研究(Cardiovascular Disease Framingham Heart Study)和用于明显健康人群心血管疾病预防策略个体化的生命时间前瞻模型(LIFE-CVD)。随后,根据 2021 年ESC《临床实践中心血管疾病预防指南》将研究人群划分为心血管疾病风险等级:研究人群由 4 组组成:COVID-19 流行前(I,n = 691)和流行期间(II,n = 816)接受检查的普通人群;COVID-19 感染后的 126 名患者(III);以及从 COVID-19 流行前挑选的匹配受试者组成的对照组(IV)。第二组的血压、低密度脂蛋白胆固醇(LDL-c)和高密度脂蛋白胆固醇(HDL-c)值均低于第一组。在一般人群中,CV 风险没有受到影响,但在感染 COVID-19 后的人群中,使用 FS-血脂、FS-BMI 和 LIFE-CVD 10 年风险评分,CV 风险低于流行前人群。在所分析的所有亚组中,冠心病风险等级的频率没有发现有统计学意义的差异:结论:COVID-19 大流行并没有增加初级预防所计算的心血管疾病风险。结论:COVID-19 大流行并没有增加一级预防计算出的心血管疾病风险,相反,它促使人们关注自己的健康状况,一些心血管疾病风险因素得到了更好的控制。由于 COVID-19 大流行引起了人们对健康的关注,因此值得利用这一机会,通过设计广泛的宣传活动来提高公众的健康知识。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cardiovascular risk and the COVID-19 pandemic: a population-based and case‒control studies.

Background: The coronavirus disease 2019 (COVID-19) pandemic is associated with increases in morbidity and mortality worldwide. The mechanisms of how SARS-CoV-2 may cause cardiovascular (CV) complications are under investigation. The aim of the study was to assess the impact of the COVID-19 pandemic on CV risk.

Methods: These are single-centre Bialystok PLUS (Poland) population-based and case‒control studies. The survey was conducted between 2018 and 2022 on a sample of residents (n = 1507) of a large city in central Europe and patients 6-9 months post-COVID-19 infection (n = 126). The Systematic Coronary Risk Estimation 2 (SCORE2), the Systematic Coronary Risk Estimation 2-Older Persons (SCORE2-OP), the Cardiovascular Disease Framingham Heart Study and the LIFEtime-perspective model for individualizing CardioVascular Disease prevention strategies in apparently healthy people (LIFE-CVD) were used. Subsequently, the study populations were divided into CV risk classes according to the 2021 ESC Guidelines on cardiovascular disease prevention in clinical practice.

Results: The study population consisted of 4 groups: a general population examined before (I, n = 691) and during the COVID-19 pandemic (II, n = 816); a group of 126 patients post-COVID-19 infection (III); and a control group matched subjects chosen from the pre-COVID-19 pandemic (IV). Group II was characterized by lower blood pressure, low-density lipoprotein cholesterol (LDL-c) and high-density lipoprotein cholesterol (HDL-c) values than group I. Group III differed from the control group in terms of lower LDL-c level. There was no effect on CV risk in the general population, but in the population post-COVID-19 infection, CV risk was lower using FS-lipids, FS-BMI and LIFE-CVD 10-year risk scores compared to the prepandemic population. In all subgroups analysed, no statistically significant difference was found in the frequency of CV risk classes.

Conclusions: The COVID-19 pandemic did not increase the CV risk calculated for primary prevention. Instead, it prompted people to pay attention to their health status, as evidenced by better control of some CV risk factors. As the COVID-19 pandemic has drawn people's attention to health, it is worth exploiting this opportunity to improve public health knowledge through the design of wide-ranging information campaigns.

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来源期刊
Population Health Metrics
Population Health Metrics PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH-
CiteScore
6.50
自引率
0.00%
发文量
21
审稿时长
29 weeks
期刊介绍: Population Health Metrics aims to advance the science of population health assessment, and welcomes papers relating to concepts, methods, ethics, applications, and summary measures of population health. The journal provides a unique platform for population health researchers to share their findings with the global community. We seek research that addresses the communication of population health measures and policy implications to stakeholders; this includes papers related to burden estimation and risk assessment, and research addressing population health across the full range of development. Population Health Metrics covers a broad range of topics encompassing health state measurement and valuation, summary measures of population health, descriptive epidemiology at the population level, burden of disease and injury analysis, disease and risk factor modeling for populations, and comparative assessment of risks to health at the population level. The journal is also interested in how to use and communicate indicators of population health to reduce disease burden, and the approaches for translating from indicators of population health to health-advancing actions. As a cross-cutting topic of importance, we are particularly interested in inequalities in population health and their measurement.
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