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有 COVID-19 既往诊断史的绝经后女性发生长新冠综合征的风险因素。

Risk factors for long COVID syndrome in postmenopausal women with previously reported diagnosis of COVID-19.

机构信息

Cancer Prevention Program, Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, United States.

Department of Epidemiology and Biostatistics, Mel and Enid Zuckerman College of Public Health, University of AZ, Tucson, AZ, United States.

出版信息

Ann Epidemiol. 2024 Oct;98:36-43. doi: 10.1016/j.annepidem.2024.08.003. Epub 2024 Aug 12.

Abstract

PURPOSE

Long COVID-19 syndrome occurs in 10-20 % of people after a confirmed/probable SARS-COV-2 infection; new symptoms begin within three months of COVID-19 diagnosis and last > 8 weeks. Little is known about risk factors for long COVID, particularly in older people who are at greater risk of COVID complications.

METHODS

Data are from Women's Health Initiative (WHI) postmenopausal women who completed COVID surveys that included questions on whether they had ever been diagnosed with COVID and length and nature of symptoms. Long COVID was classified using standard consensus criteria. Using WHI demographic and health data collected at study enrollment (1993-98) through the present day, machine learning identified the top 20 risk factors for long COVID. These variables were tested in logistic regression models.

RESULTS

Of n = 37,280 survey respondents, 1237 (mean age = 83 years) reported a positive COVID-19 test and 425 (30 %) reported long COVID. Symptoms included an array of neurological, cardio-pulmonary, musculoskeletal, and general fatigue, and malaise symptoms. Long COVID risk factors included weight loss, physical and mobility limitations, and specific heath conditions (e.g., history of heart valve procedure, rheumatoid arthritis).

CONCLUSIONS

Knowledge of risk factors for long COVID may be the first step in understanding the etiology of this complex disease.

摘要

目的

在确诊/疑似 SARS-CoV-2 感染后,10-20%的人会出现长新冠综合征;新症状在 COVID-19 诊断后 3 个月内出现,持续>8 周。人们对长新冠的风险因素知之甚少,特别是在感染 COVID 并发症风险较高的老年人中。

方法

数据来自参加妇女健康倡议(WHI)的绝经后妇女,她们完成了 COVID 调查,其中包括是否曾被诊断出 COVID 以及症状的持续时间和性质。长新冠的分类使用了标准共识标准。利用 WHI 在研究入组时(1993-98 年)至今日收集的人口统计学和健康数据,机器学习确定了长新冠的前 20 个风险因素。这些变量在逻辑回归模型中进行了测试。

结果

在 n=37280 名调查受访者中,有 1237 名(平均年龄 83 岁)报告 COVID-19 检测呈阳性,425 名(30%)报告患有长新冠。症状包括一系列神经、心肺、肌肉骨骼和全身疲劳以及不适症状。长新冠的风险因素包括体重减轻、身体和行动能力受限以及特定的健康状况(例如,心脏瓣膜手术史、类风湿关节炎)。

结论

了解长新冠的风险因素可能是理解这种复杂疾病病因的第一步。

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