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Post-COVID-19 syndrome among symptomatic COVID-19 patients: A prospective cohort study in a tertiary care center of Bangladesh

متلازمة ما بعد كوفيد-19 بين مرضى كوفيد-19 الذين يعانون من أعراض: دراسة جماعية محتملة في مركز رعاية ثالثية في بنغلاديش
Authors: Reaz Mahmud; Mujibur Rahman; Mohammad Aftab Rassel; Farhana Binte Monayem; S.K. Jakaria Been Sayeed; Shahidul Islam; Mohammed Monirul Islam;

Post-COVID-19 syndrome among symptomatic COVID-19 patients: A prospective cohort study in a tertiary care center of Bangladesh

Abstract

Background Post-coronavirus disease (COVID-19) syndrome includes persistence of symptoms beyond viral clearance and fresh development of symptoms or exaggeration of chronic diseases within a month after initial clinical and virological cure of the disease with a viral etiology. We aimed to determine the incidence, association, and risk factors associated with development of the post-COVID-19 syndrome. Methods We conducted a prospective cohort study at Dhaka Medical College Hospital between June 01, 2020 and August 10, 2020. All the enrolled patients were followed up for a month after clinical improvement, which was defined according the World Health Organization and Bangladesh guidelines as normal body temperature for successive 3 days, significant improvement in respiratory symptoms (respiratory rate <25/breath/minute with no dyspnea), and oxygen saturation >93% without assisted oxygen inhalation. Findings Among the 400 recruited patients, 355 patients were analyzed. In total, 46% patients developed post-COVID-19 symptoms, with post-viral fatigue being the most prevalent symptom in 70% cases. The post-COVID-19 syndrome was associated with female gender (relative risk [RR]: 1.2, 95% confidence interval [CI]: 1.02–1.48, p = 0.03), those who required a prolonged time for clinical improvement (p<0.001), and those showing COVID-19 positivity after 14 days (RR: 1.09, 95% CI: 1.00–1.19, p<0.001) of initial positivity. Patients with severe COVID-19 at presentation developed post-COVID-19 syndrome (p = 0.02). Patients with fever (RR: 1.5, 95% CI: 1.05–2.27, p = 0.03), cough (RR: 1.36, 95% CI: 1.02–1.81, p = 0.04), respiratory distress (RR: 1.3, 95% CI: 1.4–1.56, p = 0.001), and lethargy (RR: 1.2, 95% CI: 1.06–1.35, p = 0.003) as the presenting features were associated with the development of the more susceptible to develop post COVID-19 syndrome than the others. Logistic regression analysis revealed female sex, respiratory distress, lethargy, and long duration of the disease as risk factors. Conclusion Female sex, respiratory distress, lethargy, and long disease duration are critical risk factors for the development of post-COVID-19 syndrome.

Keywords

Adult, Male, Science, Social Sciences, Infectious disease (medical specialty), FOS: Health sciences, Pediatrics, Coronavirus Disease 2019, Tertiary Care Centers, Risk Factors, Neurological Manifestations of COVID-19 Infection, Health Sciences, Humans, Psychology, Disease, Prospective Studies, Internal medicine, Fatigue, Aged, Bangladesh, SARS-CoV-2, Incidence (geometry), Physics, Q, Post-acute COVID-19 Syndrome, Confidence interval, R, Cohort, COVID-19, Optics, Syndrome, Middle Aged, FOS: Psychology, Relative risk, Coronavirus disease 2019 (COVID-19), Clinical Psychology, Infectious Diseases, Neurology, Prospective cohort study, Impact of COVID-19 on Mental Health, Medicine, Female, Cohort study, Research Article

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
502
Top 0.1%
Top 1%
Top 0.01%
Green
gold