COVID-19 Infection among Patients Attending the Fever Clinic of a Tertiary Care Centre: A Descriptive Cross-sectional

Manisha Shrestha1, Palzum Sherpa1, Shiva Raj Kc1

  • 1Department of Pathology, Patan Academy of Health Sciences, Lagankhel, Lalitpur, Nepal.

Insights

This study found a COVID-19 prevalence of 19.31% among fever clinic patients. Hematological findings like low hematocrit and anemia were common in COVID-19 cases.

Area of Science:

  • Infectious Diseases
  • Hematology
  • Epidemiology

Background:

  • COVID-19, a viral illness, is characterized by lymphopenia, thrombocytopenia, and elevated inflammatory markers.
  • Understanding the prevalence of COVID-19 in clinical settings is crucial for public health management.

Purpose of the Study:

  • To determine the prevalence of COVID-19 infection among patients presenting to a tertiary care fever clinic.
  • To investigate hematological parameters in COVID-19 patients.

Main Methods:

  • A descriptive cross-sectional study was conducted involving 1431 patients at a tertiary care fever clinic.
  • COVID-19 infection was diagnosed using reverse transcriptase polymerase chain reaction (RT-PCR) testing.
  • Data analysis included calculating prevalence, confidence intervals, and descriptive statistics for demographic and hematological parameters.

Main Results:

  • The prevalence of COVID-19 was 19.31% (95% CI: 17.26-21.36) among the 1431 patients studied.
  • The majority of infected patients were in the 20-29 age group, with a higher proportion of males (59.21%) than females (40.79%).
  • Hematological analysis revealed that most COVID-19 cases presented with low hematocrit and anemia, alongside variable total leukocyte, neutrophil, and lymphocyte counts.

Conclusions:

  • The study identified a significant prevalence of COVID-19 in the studied fever clinic population.
  • Hematological abnormalities, including anemia and low hematocrit, are notable in COVID-19 patients.
  • The findings highlight the importance of considering hematological parameters in the clinical assessment of COVID-19.
Abstract

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