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Published on: August 4, 2023
Coagulation parameters abnormalities and their relation to clinical outcomes in hospitalized and severe COVID-19
Hend M Esmaeel1, Heba A Ahmed2, Mahmoud I Elbadry3
1Department of Chest Disease and Tuberculosis, Faculty of Medicine, Sohag University, Sohag, 82524, Egypt. hendomr@gmail.com.
Insights
Coagulation abnormalities, including D-dimer and Anti-Thrombin III, effectively predict COVID-19 severity and poor outcomes. Monitoring these markers aids in early risk assessment and patient management.
Area of Science:
- Hematology
- Virology
- Clinical Medicine
Background:
- Growing attention on coagulation parameter abnormalities in predicting COVID-19 severity.
- Coagulation disorders are increasingly recognized as a significant factor in COVID-19 prognosis.
Purpose of the Study:
- To investigate the predictive role of coagulation parameters (Prothrombin concentration, aPTT, D-Dimer, ATIII, fibrinogen) in COVID-19 severity.
- To assess the relationship between coagulation, hematological, and biochemical parameters and clinical outcomes in hospitalized and severe COVID-19 patients.
Main Methods:
- Prospective study of 267 newly diagnosed COVID-19 patients.
- Patients categorized into hospitalized/non-hospitalized and severe/non-severe groups.
- Clinical evaluation, measurement of coagulation, hematological, and biochemical parameters, and outcome data collection.
Main Results:
- Hospitalized and severe COVID-19 patients were older and presented more frequently with dyspnea.
- Significant differences in coagulation and inflammatory markers were observed between severity groups.
- D-dimer, AT-III, and LDH demonstrated excellent independent prediction of severity risk (D-dimer: 76% sensitivity, 93% specificity at >2.0 ng/L).
- Patients with coagulation abnormalities had significantly worse survival rates (p=0.002).
Conclusions:
- Coagulation parameters, particularly D-dimer and AT-III, are valuable predictors of COVID-19 severity.
- Early assessment and monitoring of coagulation status can aid in predicting COVID-19 severity and mortality risk.
Abstract:
There has been growing attention toward the predictive value of the coagulation parameters abnormalities in COVID-19. The aim of the study was to investigate the role of coagulation parameters namely Prothrombin concentration (PC), activated Partial thromboplastin Time (aPTT), D-Dimer (DD), Anti Thrombin III (ATIII) and fibrinogen (Fg) together with hematological, and biochemical parameters in predicting the severity of COVID-19 patients and estimating their relation to clinical outcomes in hospitalized and severe COVID-19 Patients. In a prospective study, a total of 267 newly diagnosed COVID-19 patients were enrolled. They were divided into two groups; hospitalized group which included 144 patients and non-hospitalized group that included 123 patients. According to severity, the patients were divided into severe group which included 71 patients and non-severe group that included 196 patients who were admitted to ward or not hospitalized. Clinical evaluation, measurement of coagulation parameters, biochemical indices, outcome and survival data were recorded. Hospitalized and severe patients were older and commonly presented with dyspnea (P ≤ 0.001). Differences in coagulation parameters were highly significant in hospitalized and severe groups in almost all parameters, same for inflammatory markers. D-dimer, AT-III and LDH showed excellent independently prediction of severity risk. With a cut-off of > 2.0 ng/L, the sensitivity and specificity of D dimer in predicting severity were 76% and 93%, respectively. Patients with coagulation abnormalities showed worse survival than those without (p = 0.002). Early assessment and dynamic monitoring of coagulation parameters may be a benchmark in the prediction of COVID-19 severity and death.
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