Diagnostic Values of Laboratory Biomarkers in Predicting a Severe Course of COVID-19 on Hospital Admission. (7th November 2022)

• Record Type: Journal Article
• Authors: Tummala, Anusha; Ramesh, Venkat; Balakrishna, Nagalla; Koyyada, Rajeswari; Singh, Anula Divyash; Patnam, Sreekanth; Satish Kumar, M.; Varahala, Sneha; Manda, Sasidhar V.; Narreddy, Suneetha
• Other Names: dos Santos Washington L. C. Academic Editor.
• Is Part Of: BioMed research international. Volume 2022(2022)
• Publication Date: 2022-11-07
• Subjects: Medicine -- Periodicals; Biology -- Periodicals; Biotechnology -- Periodicals; Life sciences -- Periodicals; 610.5
• DOI: 10.1155/2022/5644956
• Languages: English
• ISSNs: 2314-6133

Abstract

Abstract : Objective . We intend to identify differences in the clinicodemographic and laboratory findings of COVID-19 patients to predict disease severity and outcome on admission. Methods . This single-centred retrospective study retrieved laboratory and clinical data from 350 COVID-19 patients on admission, represented as frequency tables. A multivariate regression model was used to assess the statistically significant association between the explanatory variables and COVID-19 infection outcomes, where adjusted odds ratio (AOR), p value, and 95% CI were used for testing significance. Results . Among the 350 COVID-19 patients studied, there was a significant increase in the WBC count, neutrophils, aggregate index of systemic inflammation (AISI), neutrophil-to-lymphocyte ratio (dNLR), neutrophil-to-lymphocyte and platelet ratio (NLPR), monocyte-to-lymphocyte ratio (MLR), systemic immune-inflammation index (SII), systemic inflammation response index (SIRI), D-dimer, interleukin-6 (IL-6), ferritin, lactate dehydrogenase (LDH), prothrombin time (PT), glucose, urea, urea nitrogen, creatinine, alanine phosphatase (ALP), and aspartate aminotransferase (AST) and a significant decrease in lymphocytes, eosinophils, total protein, albumin, prealbumin serum, and albumin/globulin (A/G) ratio in the severe group when compared with the mild and moderate groups. However, after adjusting their age, gender, and comorbidities, WBC count (adjusted odds ratio AOR = 6.888, 95% CI = 1.590 -29.839, p = 0.010 ), neutrophils (AOR = 5.912, 95% CI = 2.131 -16.402, p = 0.001 ), and urea (AOR = 4.843, 95% CI = 1.988 -11.755, p = 0.001 ) were strongly associated with disease severity. Interpretation and Conclusion . On admission, WBC count, neutrophils, and urea, with their cut of values, can identify at-risk COVID-19 patients who could develop severe COVID-19.