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Post COVID-19 sequelae: A prospective observational study from Northern India
Preprint
in English
| medRxiv
| ID: ppmedrxiv-21259658
ABSTRACT
BackgroundLong COVID, or post-COVID-19 sequelae, is being seen in a growing number of patients reporting a constellation of symptoms, both pulmonary and extrapulmonary. Studies on COVID-19 recovered patients are scarce. Thus, there is a need to add granularity to our existing knowledge about the course and long-term effects of the infection. AimTo describe the clinical details and risk factors of post-COVID sequelae in the North Indian population. MethodThis prospective observational study was conducted at a tertiary healthcare centre in Northern India between October 2020 to February 2021. Patients aged >18 years with a confirmed COVID-19 disease were recruited after at least two weeks of diagnosis and interviewed for any post-COVID-19 symptoms. ResultsOf 1234 patients recruited, who were followed up for a median duration of 91 days (IQR 45-181 days), 495 (40.11%) patients had symptoms. In 223 (18.1%) patients, the symptoms resolved within four weeks, 150 (12.1%) patients had symptoms till twelve weeks, and 122 (9.9%) patients had symptoms beyond twelve weeks of diagnosis of COVID-19. Most common long COVID-19 symptoms included myalgia (10.9%), fatigue (5.5%), shortness of breath (6.1%), cough (2.1%), disturbed sleep (1.4%), mood disturbances (0.48%) and anxiety (0.6%). The major determinants of developing post-COVID-19 symptoms in the patients were hypothyroidism and the severity of the disease. ConclusionMost often, patients complain of myalgias, fatigue, dyspnoea, cough and disturbed sleep. Patients who are hypothyroid or have recovered from moderate to severe COVID-19 are at higher risk of developing post-COVID sequelae. Therefore, a multidisciplinary approach is required to diagnose and manage COVID-19 recovered patients.
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Full text:
Available
Collection:
Preprints
Database:
medRxiv
Type of study:
Observational study
/
Prognostic study
Language:
English
Year:
2021
Document type:
Preprint