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2019冠状病毒病的长期健康影响:一项关于2019冠状病毒病后症状的前瞻性研究

Long-term Health Implications of Coronavirus Disease 2019: A Prospective Study on Post-coronavirus Disease 2019 Symptoms.

作者信息

Savith Akshatha, Meah Ameena, Murthy Ramya Shapur Sridhar, Phal Nidhi Bharat

机构信息

Department of General Medicine, Vydehi Institute of Medical Sciences and Research Centre, Bengaluru, Karnataka, India.

出版信息

Ann Afr Med. 2024 Dec 12;24(1):167-72. doi: 10.4103/aam.aam_199_23.

Abstract

CONTEXT

Patients recovering from coronavirus disease 2019 (COVID-19) infection continue to have some persistent symptoms or develop new symptoms, resulting in impairment of everyday activities beyond the initial acute period. The current study was undertaken to understand the long term health implications of covid 19 and to analyse the correlation of post covid symptoms with the severity of infection and inflammatory markers at the time of hospitalisation.

AIMS

(1) To estimate the prevalence of post covid symptoms at the end of 1 month,3 months and 12 months after discharge, (2) To correlate post covid symptoms with the severity of infection and inflammatory markers at the time of hospitalisation.

SETTINGS AND DESIGN

The study design was a cross-sectional study.

SUBJECTS AND METHODS

A prospective observational study was done on 150 COVID-19 reverse transcription-polymerase chain reaction-positive patients aged 18 years and above recovering from acute infection discharged from Vydehi Institute of Medical Sciences and Research Centre. All the patients were followed up for 1 year, during which telephonic interviews were conducted, and a systematic enquiry was made regarding post-COVID-19 symptoms.

STATISTICAL ANALYSIS USED

Data were entered in MS Excel and analyzed in SPSS V25. Descriptive statistics are represented with percentages, mean with standard deviation, or median with interquartile range depending on the nature of the data. The Kolmogorov-Smirnov test was applied to find normality. The Chi-square test, Independent t-test, or Mann-Whitney U-test were calculated depending on normality; P < 0.05 was considered statistically significant.

RESULTS

A total of 150 COVID-19-positive patients discharged from the hospital were included in the study. Sixty-seven percent of patients had symptoms at 1 month, 39% at 3 months, and 31% of patients persisted to have symptoms at 1 year. The most common symptoms at 1 year were fatigue (5%), breathlessness (5%), and insomnia (5%). No statistically significant correlation was found with the severity of infection, inflammatory markers, and other variables.

CONCLUSIONS

Approximately one-third of patients who recover from acute COVID-19 infection may continue to have post-COVID-19 symptoms at 1 year after infection. Fatigue is the most common post-COVID-19 symptom. Post-COVID-19 symptoms can affect COVID-19 survivors regardless of the severity of the infection.

摘要

背景

2019冠状病毒病(COVID-19)感染康复后的患者仍有一些持续症状或出现新症状,导致在初始急性期之后日常活动受到影响。开展本研究是为了了解COVID-19对健康的长期影响,并分析COVID-19后症状与住院时感染严重程度及炎症标志物之间的相关性。

目的

(1)估计出院后1个月、3个月和12个月时COVID-19后症状的患病率,(2)将COVID-19后症状与住院时感染严重程度及炎症标志物进行关联分析。

设置与设计

本研究设计为横断面研究。

研究对象与方法

对从维迪希医学科学与研究中心出院的150例年龄在18岁及以上、急性感染康复的COVID-19逆转录聚合酶链反应阳性患者进行了一项前瞻性观察研究。所有患者随访1年,在此期间进行电话访谈,并就COVID-19后症状进行系统询问。

所用统计分析方法

数据录入MS Excel并在SPSS V25中进行分析。根据数据性质,描述性统计用百分比表示,均值用标准差表示,或中位数用四分位数间距表示。应用柯尔莫哥洛夫-斯米尔诺夫检验来检验数据是否呈正态分布。根据数据是否呈正态分布计算卡方检验、独立t检验或曼-惠特尼U检验;P<0.05被认为具有统计学意义。

结果

本研究共纳入150例从医院出院的COVID-19阳性患者。67%的患者在1个月时有症状,39%在3个月时有症状,31%的患者在1年时仍有症状。1年时最常见的症状是疲劳(5%)、呼吸困难(5%)和失眠(5%)。未发现与感染严重程度、炎症标志物及其他变量存在统计学显著相关性。

结论

从急性COVID-19感染中康复的患者中,约三分之一在感染后1年可能仍有COVID-19后症状。疲劳是最常见的COVID-19后症状。无论感染严重程度如何,COVID-19后症状均可影响COVID-19幸存者。

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