Journal of Family Medicine and Primary Care (Jan 2021)

Clinical profile and outcomes of COVID-19 positive patients -A cross sectional study

  • Christina Karthaka,
  • Sulakshana S Baliga,
  • Padmaja R Walvekar

DOI
https://doi.org/10.4103/jfmpc.jfmpc_301_21
Journal volume & issue
Vol. 10, no. 11
pp. 4036 – 4040

Abstract

Read online

Background: Globally 220 countries and territories are affected and cases of COVID-19 have increased by 8% resulting in 3.6 million new cases. The most common symptoms include fever, cough, loss of taste or smell, headache and mortality rate was uncertain. The objective of this study is to know the clinical profile and outcomes of COVID-19 positive patients. Methodology: A Cross-Sectional Study was conducted for 2 months (October–December 2020) among 727 COVID 19 positive patients residing in the field practice area of 4 health centers. Details regarding medical history, exposure history, underlying co-morbidities, symptoms, signs clinical features and outcomes (i.e, cured, mortality, and length of stay) were obtained. Results: The mean age of participants was 41 ± 17 years, 59.28% were males, 40.71% were females. A significant association was found between age, family history of disease, co-morbid disease, medication history, smoking habit, alcohol consumption, type of symptoms, isolation type, treatment given with outcomes (P < 0.05). Subjects with previous history of medication (HR, 2.749; 95% CI 1.0774–7.015), and those who had symptoms (HR, 3.6446; 95% CI1.0280–12.921) were associated with increased risk of death as compared to others. Conclusion: COVID-19 positive was found in 56% of patients, they were less severe and improved with medication and deaths were found in 3.85% of patients. Fever was noted in only 15.72% of patients, gastrointestinal symptoms in 1.22% and respiratory symptoms in 14.74% of patients. Participants with older age were significantly associated with complications and those with co-morbidities were significantly associated with death on multinominal logistic analysis.

Keywords