Affiliation:
1. Department of Biochemistry, Shri MP Shah Government Medical College, Jamnagar, Gujarat, India
2. Department of Internal Medicine, Trinity Health Livonia Hospital, Michigan, USA
3. Department of Community Medicine, Shri MP Shah Government Medical College, Jamnagar, Gujarat, India
4. Department of Medicine, Shri MP Shah Government Medical College, Jamnagar, Gujarat, India
Abstract
ABSTRACT
Background:
Laboratory markers like lymphopenia, thrombocytopenia, elevated D-dimer, and C-reactive protein (CRP) predict worse outcomes in coronavirus disease 2019 (COVID-19). However, a comprehensive analysis of hematologic and coagulation parameter alterations based on fever status is lacking.
Methods:
This retrospective study analyzed 300 COVID-19 patients hospitalized from March to December 2020. Demographic, clinical, and laboratory data were extracted from electronic medical records. Patients were stratified into fever (n = 200) and no fever (n = 100) groups. Hematologic, coagulation, and inflammatory markers were compared between groups using appropriate statistical tests. Multivariate regression identified independent predictors of fever.
Results:
Fever was associated with leukocytosis, neutrophilia, lymphopenia, thrombocytopenia, elevated CRP, D-dimer, procalcitonin, interleukin-6, neutrophil to lymphocyte ratio (NLR), and ferritin compared to no fever (all P < 0.05). D-dimer (r = 0.42), CRP (r = 0.52), NLR (r = 0.48), and interleukin-6 (r = 0.46) demonstrated the strongest correlation with fever (P < 0.001). High D-dimer >1000 ng/mL (adjusted odds ratio 2.7), CRP >100 mg/L (3.1), lymphopenia <1.0 × 109/L (2.8), NLR >4 (2.9), and thrombocytopenia <150 × 109/L (2.7) were significant independent predictors of fever status (P < 0.005). These parameters had moderate sensitivity (40–60%) and high specificity (74–88%) for discriminating febrile patients with AUC of 0.85.
Conclusions:
Marked alterations in hematologic, coagulation, and inflammatory markers occur in COVID-19 based on fever. Routine laboratory parameters can facilitate diagnosis and risk stratification.