The effectiveness of coagulation parameters in classifying patients and predicting mortality in Covid-19

Year 2022, Volume: 39 Issue: 1, 232 - 236, 01.01.2022

Gülsen Şener

Abstract

Covid-19 is a viral infection have a high pathogencitity and contagiousness that primarily targets the human respiratory system and leading to a global pandemic. Abnormal coagulation parameters are quite common in Covid-19 patients. In our study, we aimed to evaluate the relationship between coagulation function with disease severity and survival status in Covid-19 patients and the prognostic, predictive value of these parameters. Results of prothrombin time (PT), activated partial thromboplastin time (aPTT), Fibrinogen, and D-Dimer parameters at admission time of 76 Covid-19 negative healthy control with 188 confirmed Covid-19 patients, as well as death events were retrospectively analyzed. Compared with the healthy control group, higher levels of D-Dimer, PT, aPTT, fibrinogen, and CRP (p <0.001 for each) were present during admission in Covid-19 patients. The non-survivor group had higher levels of PT, D-Dimer, and CRP (p <0.001 for each) and aPTT (p =0.004), fibrinogen (p =0.019) compared to the survivor group. 28 (14.89%) of 188 Covid-19 patients lost their lives. Analysis of the ROC curve revealed that D-Dimer, Fibrinogen, PT, aPTT, and CRP had high diagnostic value in distinguishing Covid-19 patients from healthy control group, the critical group from the severe group, and non-survivors from survivors. This study shows that coagulation function is significantly impaired in patients with Covid-19 infection compared to normal patients, and as particularly marked high levels of D-Dimer, PT, aPTT, fibrinogen, and CRP are common. This condition is associated with disease severity and increased mortality. Coagulation parameters are an effective and useful marker for assessing prognosis and for the management of Covid-19 patients.

Keywords

Coagulation parameters, Prothrombin time, D‐dimer, Fibrinogen, Covid-19 severity

Thanks

ACKNOWLEDGMENTS I would like to thank Dr. Yeliz Kaşko Arıcı from the Department of Biostatistics of the Faculty of Medicine of Ordu University for her support in the field of Statistics

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