Related Experiment Video
Updated: Jun 24, 2025
Author Spotlight: Deciphering Coagulation Disorders in Traumatic Brain Injury Patients
Published on: August 4, 2023
Predictive value of D-Dimer and thromboplastin time as coagulation indicators for COVID-19 patients
Marwan Alshipli1, Thamer A Altaim2, Ammar A Oglat3
1Medical Imaging and Radiography Department, Aqaba University of Technology, Aqaba, Jordan.
Insights
Coagulation disorders, indicated by D-dimer and APTT tests, are significantly more common in severe COVID-19 patients. These tests can help predict disease severity and guide patient management.
Area of Science:
- Medical Research
- Infectious Diseases
- Hematology
Background:
- COVID-19 presents with coagulopathy and thromboembolic risks.
- Single-parameter diagnosis of coagulopathy has limited predictive value for disease severity.
Purpose of the Study:
- To evaluate D-dimer and activated partial thromboplastin time (APTT) testing for predicting COVID-19 severity.
- To assess the utility of these tests in patient triage and management.
Main Methods:
- 214 COVID-19 patients were categorized into mild (126) and severe (88) based on respiratory symptoms.
- Collected data included age, gender, D-dimer, and APTT levels.
- Coagulation disorders were defined by abnormal D-dimer and APTT levels; statistical analysis used Chi-square tests.
Main Results:
- Coagulation disorders were significantly more prevalent in severe COVID-19 patients (77.8%) compared to mild cases (4.8%).
- A statistically significant relationship was observed between coagulation disorders and COVID-19 severity (p < 0.05).
Conclusions:
- Coagulation disorders are strongly associated with severe COVID-19.
- D-dimer and APTT tests serve as significant indicators for predicting COVID-19 severity.
- Abnormal coagulation patterns in severe COVID-19 warrant consideration in treatment protocols.
Introduction:
Coronavirus 2019 symptoms include coagulopathy and thromboembolic risk. Using one parameter to diagnose coagulopathy has little predictive value.
Objective:
This study will examine if D-dimer and APTT testing can predict COVID-19 severity and aid triage and manage patients.
Methods:
214 COVID-19 patients were enrolled and classified into two categories based on their respiratory manifestations; mild (126 cases) and severe (88 cases). Patient data regarding age, gender, D-Dimer level, and APTT level were collected. When both D-Dimer and APTT levels were abnormal, in this study, the patient was considered to have a coagulation disorder. Indicators of coagulation in the COVID-19 patients were collected and compared between the two groups. Chi-square (χ2) tests were used to determine the significant differences between coagulation disorders in the two groups.
Results:
Our findings showed that patients with coagulopathies were more likely to belong to the severe group. Within the two groups of patients, the rate of coagulation disorders was as follows: mild = 8.8 % within coagulation disorders, 4.8% within the two Groups; severe = 91.2 % within coagulation disorders, 77.8 % within the two Groups. There was a statistically significant relationship between coagulation disorder and severe COVID-19 patients compared to mild patients (p < 0.05).
Conclusions:
Coagulation disorders are more likely to occur in severe COVID-19 patients. D-Dimer and APTT tests are significant indicators for predicting COVID-19 severity. Our research found an abnormal pattern of coagulation disorders and COVID-19 severity that should be considered in the COVID-19 treatment protocol.
