ABSTRACT
BACKGROUND AND OBJECTIVES: COVID-19 is a global pandemic. In our study, we aimed to utilize the hematological parameters in predicting the prognosis and mortality in COVID-19 patients. MATERIALS AND METHODS: A retrospective, observational study was conducted to include all the admitted patients (n = 191) having COVID-19 Polymerase chain reaction (PCR) positive, and evaluated those for prognosis and disease outcome by utilizing several biochemical and hematological markers. RESULTS: Amongst the patients admitted in the ward versus in the intensive care unit (ICU), there were significant differences in mean hemoglobin (P = 0.003), total leukocyte count (P = 0.001), absolute neutrophil and lymphocyte counts (P < 0.001), absolute monocyte count (P = 0.019), Neutrophil-to-Lymphocyte ratio (NLR) and Lymphocyte-to-Monocyte ratio (LMR) (P < 0.001), Platelet-to-Lymphocyte ratio (PLR) and Lymphocyte-to C-reactive protein ratio (LCR) (P = 0.002), and C-reactive protein (CRP) levels (P < 0.001). Amongst the deceased patients, there was significant leukocytosis (P = 0.008), neutrophilia and lymphopenia (P < 0.001), increased NLR (P = 0.001), decreased LMR (P < 0.001), increased PLR (p = 0.017), decreased LCR (p = 0.003), and elevated CRP level (P < 0.001). A receiver operating characteristic curve obtained for the above parameters showed NLR (AUC: 0.841, PPV: 83.6%) and PLR (AUC: 0.703, PPV: 81.8%) for ICU patients, while NLR (AUC: 0.860, PPV: 91.1%) and PLR (AUC: 0.677, PPV: 87.5%) for the deceased patients had significant accuracy for predicting the disease severity of COVID-19 in comparison to survivors. CONCLUSION: The inflammatory markers and hematological indices are a good guide for predicting the severity and disease outcome of coronavirus disease. NLR and PLR are elevated in severe disease while LMR and LCR are inversely correlating with disease severity.
ABSTRACT
[This corrects the article DOI: 10.7759/cureus.8712.].
ABSTRACT
Background and objective COVID-19 is a highly disseminating viral disease imparted by severe acute respiratory syndrome coronavirus 2 (SARS-COV-2), which was declared a global pandemic by the World Health Organization. In our study, we aimed to describe the clinical characteristics of the first 100 hospitalized patients of confirmed COVID-19 in a developing country. Materials and methods The study included all the admitted patients (n = 100) having COVID-19 polymerase chain reaction (PCR) positive, and evaluated clinical profiles and characteristics of the patients linking to disease severity. Results Out of the 100 patients, 67 were in the ward, 33 were in ICU, 78 of them recovered, while 22 deaths reported. The mean age was 52.58 ± 15.68, with most frequent comorbidities are diabetes and hypertension while frequent symptoms are fever and dry cough. Bilateral lower zone patchy infiltrates are frequent chest radiographic findings. Amongst the patients admitted in ICU, there were significant differences in the total leukocyte count (P = 0.001), neutrophils and lymphocytes (P =< 0.001), monocytes (P = 0.027), urea (P =< 0.001), creatinine (P = 0.002), neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) increasing with disease severity, lymphocyte-to-monocyte ratio (LMR) and lymphocyte-to-C-reactive protein ratio (LCR) decreasing with mortalities. Gamma-glutamyl transferase (GGT) followed by aspartate aminotransferase (AST) are frequent hepatic derangements, while C-reactive protein (CRP) levels predicting ICU admission with area under the curve (AUC): 0.806, positive predictive value (PPV): 85.1% and lactate dehydrogenase (LDH) predicting mortality with AUC: 0.877, PPV: 97.3%, while NLR (AUC: 0.806, PPV: 95.8%) for mortality and neutrophils (AUC: 0.773, PPV: 87.5%) for ICU patients. Conclusion A number of factors are linked with disease severity and mortality along with dynamic changes of the laboratory investigations during hospital stay affecting prognosis.