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A Retrospective Analysis of the Coagulation Dysfunction in COVID-19 Patients
Xu Chen1, Qinghua Wang2, Min Xu3
1Department of 1/Laboratory Medicine, Jingzhou Central Hospital, The Second Clinical Medical College, Yangtze University, Jingzhou, Hubei, China.
Insights
D-dimer levels can help identify severe COVID-19 cases. This study found D-dimer, prothrombin time, and thrombin time were higher in severe patients, with D-dimer showing the best predictive value.
Area of Science:
- * Internal Medicine
- * Hematology
- * Infectious Diseases
Background:
- * COVID-19 is associated with coagulation dysfunction, impacting disease severity.
- * Identifying reliable biomarkers is crucial for managing COVID-19 patients.
- * Distinguishing between mild and severe cases aids in timely and appropriate medical intervention.
Purpose of the Study:
- * To investigate coagulation abnormalities in COVID-19 patients.
- * To identify potential biomarkers for differentiating severe from mild COVID-19 cases.
- * To evaluate the predictive value of coagulation parameters in COVID-19 severity.
Main Methods:
- * Retrospective analysis of 88 COVID-19 patients.
- * Comparison of coagulation function tests between severe and mild COVID-19 patient groups.
- * Statistical analysis including Area Under the Curve (AUC) for biomarker evaluation.
Main Results:
- * Prothrombin time (PT), thrombin time (TT), and D-dimer were significantly elevated in severe COVID-19 patients (P < 0.05).
- * D-dimer demonstrated the highest predictive value with an AUC of 0.91.
- * PT and TT showed AUCs of 0.80 and 0.61, respectively.
Conclusions:
- * D-dimer is a valuable biomarker for predicting severe COVID-19 progression.
- * Elevated D-dimer levels (84.4% sensitivity, 88.8% specificity) effectively distinguish severe from mild cases.
- * Coagulation parameters, particularly D-dimer, play a significant role in COVID-19 severity assessment.
Abstract:
To discuss the coagulation dysfunction in COVID-19 patients and to find new biomarkers to separate severe COVID-19 patients from mild ones. We use a retrospective analysis of 88 COVID-19 patients, and compare the coagulation function between severe and mild groups. We found the prothrombin time (PT), thrombin time (TT), D-dimer were significantly higher in the severe group (P < 0.05), and the highest area under the curve (AUC) is 0.91 for D-dimer, while the AUC of PT and TT were 0.80 and 0.61 respectively. We identified that D-dimer has a better value in predicting patients who are likely to develop into severe cases, with the sensitivity and specificity were 84.4% and 88.8%, respectively. D-dimer may be a good biomarker to separate the severe COVID-19 patients from the mild ones.
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