DNB Trainee, Department of Medicine, Sir Ganga Ram Hospital, Delhi, India, Corresponding Author.
Co-Chairman, Department of Medicine, Sir Ganga Ram Hospital, Delhi, India.
J Assoc Physicians India. 2024 Oct;72(10):19-23. doi: 10.59556/japi.72.0576.
Post-coronavirus disease (COVID) persistence of symptoms and the development of complications have become frequently encountered clinical problems due to multiple waves of the pandemic over the past 3 years across the world. Identifying risk factors would enable us to direct our limited resources toward the subgroups requiring long-term follow-up and treatment. With this prospective observational study, we aim to establish a statistical correlation between the persistence of symptoms and four of the most attributed risk factors for prolonged recovery: severity of acute illness, elderly age, presence of multiple comorbidities, and female gender in the Indian population.
Three hundred patients with positive COVID reverse transcription polymerase chain reaction (RTPCR) or antigen tests were enrolled over 10 months (from December 2020, after obtaining ethical clearance, to October 2021). Symptoms were recorded at baseline and followed up with a predesigned questionnaire to assess their persistence at 1-, 2-, and 4-month intervals post-COVID recovery. Appropriate statistical analysis [Pearson's correlation/analysis of variance (ANOVA) test] was used to establish the correlation between the persistence of symptoms and their severity with the presence of risk factors.
Severity of acute illness was the single most important determining factor of persistence of symptoms as well as their severity in our study ( < 0.001) at each follow-up interval. The correlation observed between average number or severity of persistent symptoms increased with female gender, increasing age-group and presence of multiple comorbidities was not significant statistically ( > 0.05) with exception of persistent fatigue in females at 2-month interval.
Persistent symptoms and its prevalence recorded so far represents tip of the iceberg of patients suffering with long COVID. Patients with history of severe acute illness should be followed up closely for prompt identification and rehabilitation of these cases as it had maximum bearing on the outcome of these patients.
由于过去 3 年全球范围内多次出现疫情浪潮,新冠病毒病(COVID)后症状持续存在和并发症的发生已成为常见的临床问题。确定危险因素将使我们能够将有限的资源用于需要长期随访和治疗的亚组。通过这项前瞻性观察研究,我们旨在确定症状持续存在与四个最常见的导致恢复时间延长的危险因素之间的统计学相关性:急性疾病的严重程度、年龄较大、合并多种疾病和女性。
在 10 个月的时间里(从 2020 年 12 月获得伦理批准后到 2021 年 10 月),我们招募了 300 名 COVID 逆转录聚合酶链反应(RT-PCR)或抗原检测阳性的患者。在基线时记录症状,并通过预定的问卷进行随访,以评估 COVID 康复后 1、2 和 4 个月时症状的持续存在情况。使用适当的统计分析(Pearson 相关/方差分析(ANOVA)检验)来确定症状持续存在与危险因素之间的相关性。
在我们的研究中,急性疾病的严重程度是症状持续存在及其严重程度的唯一最重要的决定因素(<0.001),在每个随访间隔都是如此。观察到的与持续存在的症状的平均数量或严重程度之间的相关性随着女性性别、年龄组的增加和合并多种疾病的存在而增加,但女性在 2 个月间隔时持续疲劳的相关性在统计学上没有显著意义(>0.05)。
迄今为止记录的持续症状及其流行率仅代表患有长期 COVID 的患者冰山一角。应密切随访有严重急性疾病病史的患者,以便及时发现和康复这些病例,因为这对这些患者的结局有最大的影响。