J Med Virol. 2022 Oct 12. doi: 10.1002/jmv.28214. Online ahead of print.
ABSTRACT
BACKGROUND AND RATIONALE: Long COVID or Post-acute sequelae of COVID-19 is widely reported but the data of Long COVID after infection with the Omicron variant is limited. This study was conducted to estimate the incidence, characteristics of symptoms and predictors of Long COVID among COVID-19 patients diagnosed during the Omicron wave in Eastern India.
METHODOLOGY: The cohort of COVID-19 patients included were adults (≥18 years) diagnosed as SARS-CoV-2 positive with Reverse Transcription Polymerase Chain Reaction (RT-PCR). After 28 days of diagnosis; participants were followed up with a telephonic interview to capture data on sociodemographic, clinical history, anthropometry, substance use, COVID-19 vaccination status, acute COVID-19 symptoms, and Long COVID symptoms. The Long COVID symptoms were self-reported by the participants. Logistic regression was used to determine the predictors of Long COVID.
RESULTS: The median follow-up of participants was 73 days (Interquartile range (IQR); 67,83). The final analysis had 524 participants data; among them 8.2% (95% Confidence Interval (CI): 6%,10.9%) self-reported Long COVID symptoms. Fatigue (34.9%) was the most common reported symptom followed by cough (27.9%). In multivariable logistic regression only two predictors were statistically significant – number of acute COVID-19 symptoms ≥ five (Adjusted Odds ratio (aOR)=2.95, 95% CI:1.30,6.71) and past history of COVID-19 (aOR=2.66, 95% CI: 1.14,6.22).
CONCLUSION: The proportion of self-reported Long COVID is considerably low among COVID-19 patients diagnosed during the Omicron wave in Eastern India, when compared to estimates during Delta wave in the same setting. This article is protected by copyright. All rights reserved.
PMID:36224705 | DOI:10.1002/jmv.28214
