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Published on: December 19, 2020
Clinical and laboratory features of COVID-19: Predictors of severe prognosis
Aliye Bastug1, Hurrem Bodur1, Serpil Erdogan2
1Department of Infectious Diseases and Clinical Microbiology, Health Science University Turkey, Ankara City Hospital, 06800 Ankara, Turkey.
Insights
Laboratory markers like D-dimer, neutrophil-lymphocyte ratio (NLR), and C-reactive protein (CRP) can predict severe COVID-19 outcomes. A decrease in large unstained cells (%LUC) also indicates a worse prognosis in patients with coronavirus disease 2019.
Area of Science:
- Medical Research
- Infectious Diseases
- Hematology
Background:
- Coronavirus disease 2019 (COVID-19) rapidly spread globally.
- Understanding clinical and laboratory data is crucial for managing COVID-19 patients.
Purpose of the Study:
- To identify clinical and laboratory predictors of severe prognosis in hospitalized COVID-19 patients.
- To compare prognostic factors between critically ill (ICU) and non-critically ill patients.
Main Methods:
- Retrospective analysis of 191 COVID-19 patients hospitalized between March and April 2020.
- Comparison of admission variables between patients requiring intensive care unit (ICU) support and those who did not.
- Logistic regression and ROC analysis to determine the predictive power of various parameters.
Main Results:
- ICU patients were older with more comorbidities, exhibiting lower lymphocytes, hemoglobin, and albumin.
- ICU patients showed higher leucocytes, neutrophils, neutrophil-lymphocyte ratio (NLR), monocyte-lymphocyte ratio (MLR), platelet-lymphocytes ratio (PLR), urea, creatinine, AST, LDH, and D-dimer.
- Decreased percentage of large unstained cells (%LUC) and increased D-dimer were strong predictors of severe prognosis, with D-dimer, CRP, and NLR showing the highest AUC in ROC analysis.
Conclusions:
- Clinical and laboratory parameters at admission are vital for predicting severe COVID-19 prognosis.
- Decreased %LUC and increased D-dimer, NLR, and CRP are powerful laboratory indicators of severe disease.
- Identifying these predictors aids in patient follow-up and understanding COVID-19 pathophysiology.
Background:
Coronavirus disease 2019 (COVID-19) emerged first in December 2019 in Wuhan, China and quickly spread throughout the world. Clinical and laboratory data are of importance to increase the success in the management of COVID-19 patients.
Methods:
Data were obtained retrospectively from medical records of 191 hospitalized patients diagnosed with COVID-19 from a tertiary single-center hospital between March and April 2020. Prognostic effects of variables on admission among patients who received intensive care unit (ICU) support and those who didn't require ICU care were compared.
Results:
Patients required ICU care (n = 46) were older (median, 71 vs. 43 years), with more underlying comorbidities (76.1% vs. 33.1%). ICU patients had lower lymphocytes, percentage of large unstained cell (%LUC), hemoglobin, total protein, and albumin, but higher leucocytes, neutrophils, neutrophil-lymphocyte ratio (NLR), monocyte-lymphocyte ratio (MLR), platelet-lymphocytes ratio (PLR), urea, creatinine, aspartate amino transferase (AST), lactate dehydrogenase (LDH), and D-dimer when compared with non-critically ill patients (p < 0.001). A logistic regression model was created to include ferritin, %LUC, NLR, and D-dimer. %LUC decrease and D-dimer increase had the highest odds ratios (0.093 vs 5.597, respectively) to predict severe prognosis. D-dimer, CRP, and NLR had the highest AUC in the ROC analysis (0.896, 0.874, 0.861, respectively).
Conclusions:
The comprehensive analysis of clinical and admission laboratory parameters to identify patients with severe prognosis is important not only for the follow-up of the patients but also to identify the pathophysiology of the disease. %LUC decrease and D-dimer, NLR, and CRP increases seem to be the most powerful laboratory predictors of severe prognosis.
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