Revista do Instituto de Medicina Tropical de São Paulo (Jun 2021)

Relationship between acute phase reactants and prognosis in patients with or without COVID-19 pneumonia

  • Asli Tanrivermis Sayit,
  • Muzaffer Elmali,
  • Aydın Deveci,
  • Omer Gedikli

DOI
https://doi.org/10.1590/s1678-9946202163051
Journal volume & issue
Vol. 63

Abstract

Read online

ABSTRACT In December 2019, several cases of pneumonia of unknown origin were reported in the city of Wuhan, province of Hubei, China. The pathogen was named as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and the disease was named coronavirus disease 2019 (COVID-19). Acute phase reactans (APRs) are critical in the early diagnosis, treatment, and for monitoring the progression of COVID-19. Seventy two patients were included in the study and infections confirmed by real-time reverse transcription polymerase chain reaction. Clinical parameters, the level of APFs and D-dimer were assessed and results were retrived from the patients’ medical records. Chest computed tomography (CT) findings were described for each patient and they were divided into two groups, with or without COVID-19 pneumonia. The correlation between APRs and CT findings and the patients’ prognosis were evaluated. Twenty eight (38.8%) of the 72 patients were female and 44 (61.2%) were male. The most common symptom was cough (43%) and the most common associated chronic disease was hypertension (12.5%). Thirty (41.6%) patients had completely normal chest CT, while 42 (58.4%) patients had typical findings in terms of COVID-19 pneumonia. C reactive protein (CRP), lactate dehydrogenase (LDH), erythrocyte sedimentation rate (ESR), ferritin, procalcitonin and D-Dimer levels were statistically significantly higher in patients with pneumonia than in those without pneumonia and these parameters were also statistically significantly higher in patients with severe illness. In conclusion, CRP, LDH, ESR, ferritin, and D-Dimer were associated with severe COVID-19 pneumonia. These biomarkers can be used to evaluate the prognosis to predict the clinical course of disease, allowing a proper management and treatment of the patients.

Keywords