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

IF 0.6 Q3 MEDICINE, GENERAL & INTERNAL
Akshatha Savith, Ameena Meah, Ramya Shapur Sridhar Murthy, Nidhi Bharat Phal
{"title":"Long-term Health Implications of Coronavirus Disease 2019: A Prospective Study on Post-coronavirus Disease 2019 Symptoms.","authors":"Akshatha Savith, Ameena Meah, Ramya Shapur Sridhar Murthy, Nidhi Bharat Phal","doi":"10.4103/aam.aam_199_23","DOIUrl":null,"url":null,"abstract":"<p><strong>Context: </strong>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.</p><p><strong>Aims: </strong>(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.</p><p><strong>Settings and design: </strong>The study design was a cross-sectional study.</p><p><strong>Subjects and methods: </strong>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.</p><p><strong>Statistical analysis used: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusions: </strong>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.</p>","PeriodicalId":7938,"journal":{"name":"Annals of African Medicine","volume":" ","pages":""},"PeriodicalIF":0.6000,"publicationDate":"2024-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annals of African Medicine","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4103/aam.aam_199_23","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MEDICINE, GENERAL & INTERNAL","Score":null,"Total":0}
引用次数: 0

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.

2019冠状病毒病的长期健康影响:2019冠状病毒病后症状的前瞻性研究
背景:2019冠状病毒病(COVID-19)感染后恢复期患者持续出现一些症状或出现新症状,导致急性期后日常活动能力受损。目前的研究是为了了解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和炎症标志物的相关性。目的:(1)估计出院后1个月、3个月和12个月后covid后症状的发生率;(2)将covid后症状与住院时感染严重程度和炎症标志物相关联。设置和设计:研究设计为横断面研究。对象和方法:对维德希医学科学研究中心出院的150例18岁及以上的COVID-19逆转录聚合酶链反应阳性急性感染恢复期患者进行前瞻性观察研究。所有患者随访1年,随访期间对患者进行电话访谈,系统询问患者新冠肺炎后症状。使用的统计分析:数据在MS Excel中输入,在SPSS V25中分析。根据数据的性质,描述性统计用百分比、平均值和标准差或中位数和四分位数范围表示。采用柯尔莫哥洛夫-斯米尔诺夫检验来寻找正态性。根据正态性计算卡方检验、独立t检验或Mann-Whitney u检验;P < 0.05为差异有统计学意义。结果:共纳入150例新冠肺炎阳性出院患者。67%的患者在1个月时出现症状,39%的患者在3个月时出现症状,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、炎症标志物和其他变量有统计学意义的相关性。结论:大约三分之一的急性COVID-19感染后康复的患者在感染后1年可能继续出现COVID-19后症状。疲劳是covid -19后最常见的症状。无论感染的严重程度如何,COVID-19后症状都可能影响COVID-19幸存者。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Annals of African Medicine
Annals of African Medicine MEDICINE, GENERAL & INTERNAL-
CiteScore
0.90
自引率
0.00%
发文量
31
期刊介绍: The Annals of African Medicine is published by the Usmanu Danfodiyo University Teaching Hospital, Sokoto, Nigeria and the Annals of African Medicine Society. The Journal is intended to serve as a medium for the publication of research findings in the broad field of Medicine in Africa and other developing countries, and elsewhere which have relevance to Africa. It will serve as a source of information on the state of the art of Medicine in Africa, for continuing education for doctors in Africa and other developing countries, and also for the publication of meetings and conferences. The journal will publish articles I any field of Medicine and other fields which have relevance or implications for Medicine.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信