Long COVID following Omicron wave in Eastern India-A retrospective cohort study

Abstract

Long coronavirus disease (COVID) or postacute sequelae of coronavirus disease of 2019 (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. The cohort of COVID-19 patients included were adults (≥18 years) diagnosed as severe acute respiratory syndrome coronavirus 2 positive with Reverse Transcription Polymerase Chain Reaction. 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. The median follow-up of participants was 73 days (Interquartile range; 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). The proportion of self-reported long COVID is considerably low among COVID-19 patients diagnosed during the Omicron wave in Eastern India when compared with estimates during Delta wave in the same setting.

Keywords: COVID-19; Omicron; long COVID; postacute COVID-19 syndrome.

Figure 1

Flow chart showing the selection of study participants. ICU, Intensive Care Unit; OPD, Outpatient Department; RT‐PCR, reverse transcription polymerase chain reaction.