Predictive value of D-Dimer and thromboplastin time as coagulation indicators for COVID-19 patients

Authors

  • Marwan Alshipli Medical Imaging and Radiography Department, Aqaba University of Technology, Aqaba, Jordan https://orcid.org/0000-0001-9982-2407
  • Thamer A Altaim Department of Physical Therapy, Faculty of Allied Medical Sciences, Al-Ahliyya Amman University, Jordan
  • Ammar A Oglat Department of Medical Imaging, Faculty of Applied Medical Sciences, The Hashemite University, Zarqa, Jordan https://orcid.org/0000-0002-7907-6889
  • Samira Ahmed Alsenany Department of Community Health Nursing, College of Nursing, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia https://orcid.org/0009-0002-2811-0458
  • Osama Khodrog Department of Radiology, the Second Hospital of Jilin University, Changchun, China https://orcid.org/0000-0003-4356-1388
  • Hanan Hasan Department of Pathology, Microbiology and Forensic Medicine, School of Medicine, The University of Jordan, Amman, Jordan https://orcid.org/0000-0002-6875-2458
  • Sally Mohammed Farghaly Abdelaliem Department of Nursing Management and Education, College of Nursing, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia https://orcid.org/0000-0001-6497-0952
  • A Matrieh Department of Radiography, Princess Aisha Bint Al-Hussein College of Nursing and Health Sciences, Al-Hussein Bin Talal University, Ma'an, Jordan https://orcid.org/0000-0002-8585-2012
  • Bassam Z Shakhreet Medical Radiologic Technologies Department, Faculty of Allied Medical Sciences, Zarqa University, Zarqa, Jordan
  • Riziq Allah Gaowgzeh Department of Physical Therapy, Faculty of Medical Rehabilitation Sciences, King Abdulaziz University, Jeddah, Saudi Arabia https://orcid.org/0000-0003-4199-2600

DOI:

https://doi.org/10.3855/jidc.18593

Keywords:

COVID-19 disease, D-dimer, partial thromboplastin time, coagulation disorder, COVID-19 severity

Abstract

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.

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Published

2024-05-30

How to Cite

1.
Alshipli M, Altaim TA, Oglat AA, Ahmed Alsenany S, Khodrog O, Hasan H, Mohammed Farghaly Abdelaliem S, Matrieh A, Shakhreet BZ, Gaowgzeh RA (2024) Predictive value of D-Dimer and thromboplastin time as coagulation indicators for COVID-19 patients. J Infect Dev Ctries 18:666–671. doi: 10.3855/jidc.18593

Issue

Vol. 18 No. 05: May 2024

Section

Coronavirus Pandemic

License

Copyright (c) 2024 Marwan Alshipli, Thamer A Altaim, Ammar A Oglat, Samira Ahmed Alsenany, Osama Khodrog, Hanan Hasan, Sally Mohammed Farghaly Abdelaliem, A Matrieh, Bassam Z. Shakhreet, Riziq Allah Gaowgzeh

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