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Predictive prognostic biomarkers in patients with COVID‑19 infection
Shunsuke Fukui1, Kohei Ikeda1, Mayu Kobayashi1
1Department of General Medicine, Mie Prefectural General Medical Center, Yokkaichi, Mie 510‑8561, Japan.
Insights
C-reactive protein (CRP), presepsin (PSP), aspartate aminotransferase (AST), and lactate dehydrogenase (LDH) can predict prognosis in non-severe COVID-19 patients. No biomarkers reliably predicted outcomes in severe COVID-19 cases.
Area of Science:
- Clinical Medicine
- Infectious Diseases
- Biomarkers
Background:
- Coronavirus disease 2019 (COVID-19) poses a significant global health challenge.
- Identifying reliable biomarkers for predicting disease progression is crucial for patient management.
- Distinguishing between non-severe and severe COVID-19 cases aids in therapeutic strategies.
Purpose of the Study:
- To identify laboratory biomarkers that predict deterioration in COVID-19 patients.
- To evaluate the prognostic value of various biomarkers in different COVID-19 severity groups.
- To determine predictors of improvement versus deterioration in non-severe COVID-19.
Main Methods:
- A cohort of 201 COVID-19 patients was classified into non-severe (n=125) and severe (n=76) groups.
- Laboratory biomarker levels (including Neutrophil count, AST, LDH, CRP, KL-6, PCT, PSP, D-dimer, lymphocyte, and platelet counts) were analyzed.
- Receiver operating characteristic (ROC) analysis and multivariate analysis were employed to assess biomarker utility.
Main Results:
- Neutrophil count, AST, LDH, CRP, KL-6, PCT, PSP, and D-dimer were elevated in the non-severe group compared to the severe group.
- Lymphocyte and platelet counts were lower in the non-severe group versus the severe group.
- In non-severe cases, CRP, PSP, AST, and LDH were identified as useful predictors of prognosis via ROC analysis. CRP was a significant independent prognostic factor (OR, 41.45; P<0.001). No biomarkers predicted outcomes in severe cases.
Conclusions:
- Several blood markers significantly correlate with COVID-19 disease severity.
- CRP, PSP, LDH, and AST are reliable prognostic markers for non-severe COVID-19 patients.
- No specific blood biomarkers were found to predict outcomes in patients with severe COVID-19.
Abstract:
The present study aimed to identify useful biomarkers to predict deterioration in patients with coronavirus disease 2019 (COVID‑19). A total of 201 COVID‑19 patients were classified according to their disease severity into non‑severe (n=125) and severe (n=76) groups, and the behavior of laboratory biomarkers was examined according to the prognosis. Neutrophil count, aspartate aminotransferase (AST), alanine aminotransferase, lactate dehydrogenase (LDH), C‑reactive protein (CRP), sialylated carbohydrate antigen KL‑6 (KL‑6), procalcitonin (PCT), presepsin (PSP) and D‑dimer levels were significantly higher, and lymphocyte count and platelet count were significantly lower in the non‑severe group compared with the severe group. In the non‑severe group, ROC analysis demonstrated that only four biomarkers, CRP, PSP, AST and LDH were useful for differentiating the prognosis between improvement and deterioration subgroups. No strong correlation was revealed for any of the markers. Multivariate analysis identified CRP as a significant prognostic factor in non‑severe cases (odds ratio, 41.45; 95% confidence interval, 4.91‑349.24; P<0.001). However, there were no blood biomarkers that could predict the outcome of patients in the severe group. Overall, several blood markers changed significantly according to disease severity in the course of COVID‑19 infection. Among them, CRP, PSP, LDH and AST were the most reliable markers for predicting the patient's prognosis in non‑severe COVID‑19 cases.
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