Research Article

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

Volume: 39 Number: 1 January 1, 2022
EN

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

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

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

References

  1. 1. Rai P, Kumar BK, Deekshit VK, Karunasagar I, Karunasagar I. Detection technologies and recent developments in the diagnosis of COVID-19 infection. Appl Microbiol Biotechnol. 2021;105(2):441-455. doi:10.1007/s00253-020-11061-5
  2. 2. World Health Organization. Statement on the second meeting of the International Health Regulations (2005) Emergency Committee regarding the outbreak of novel coronavirus (2019-nCoV). Jan 30, 2020. https://bit.ly/2zc56Vk (accessed May 2020).
  3. 3. Wu Z, McGoogan JM. Characteristics of and Important Lessons From the Coronavirus Disease 2019 (COVID-19) Outbreak in China: Summary of a Report of 72314 Cases From the Chinese Center for Disease Control and Prevention. JAMA. 2020; 323(13):1239-1242. doi: 10.1001/jama.2020.2648.
  4. 4. Du Y, Tu L, Zhu P, Mu M, Wang R, Yang P, et al. Clinical features of 85 fatal cases of COVID-19 from Wuhan: a retrospective observational study. Am J Respir Crit Care Med. 2020; 201(11):1372-1379. doi: 10.1164/rccm.202003-0543OC.
  5. 5. Xiong Y, Liu Y, Cao L, Wang D, Guo M, Jiang A, et al. Transcriptomic characteristics of bronchoalveolar lavage fluid and peripheral blood mononuclear cells in COVID-19 patients. Emerg Microbes Infect. 2020; 9(1):761-770. doi: 10.1080/22221751.2020.1747363.
  6. 6. Tian S, Hu W, Niu L, Liu H, Xu H, Xiao SY. Pulmonary pathology of early phase 2019 novel coronavirus (COVID-19) pneumonia in two patients with lung cancer. J Thorac Oncol. 2020; 15(5):700-704. doi: 10.1016/j.jtho.2020.02.010.
  7. 7. Ding YQ, Bian XW. Analysis of coronavirus disease-19 (covid-19) based on SARS autopsy. Chin J Pathol. 2020; 49(4):291-293. doi: 10.3760/cma.j.cn112151-20200211-00114.
  8. 8. Barton LM, Duval EJ, Stroberg E, Ghosh S, Mukhopadhyay S. COVID-19 Autopsies, Oklahoma, USA. Am J Clin Pathol. 2020; 5;153(6):725-733. doi: 10.1093/ajcp/aqaa062.

Details

Primary Language

English

Subjects

Health Care Administration

Journal Section

Research Article

Publication Date

January 1, 2022

Submission Date

August 3, 2021

Acceptance Date

December 29, 2021

Published in Issue

Year 2022 Volume: 39 Number: 1

APA
Şener, G. (2022). The effectiveness of coagulation parameters in classifying patients and predicting mortality in Covid-19. Deneysel Ve Klinik Tıp Dergisi, 39(1), 232-236. https://izlik.org/JA48CW89JX
AMA
1.Şener G. The effectiveness of coagulation parameters in classifying patients and predicting mortality in Covid-19. J. Exp. Clin. Med. 2022;39(1):232-236. https://izlik.org/JA48CW89JX
Chicago
Şener, Gülsen. 2022. “The Effectiveness of Coagulation Parameters in Classifying Patients and Predicting Mortality in Covid-19”. Deneysel Ve Klinik Tıp Dergisi 39 (1): 232-36. https://izlik.org/JA48CW89JX.
EndNote
Şener G (January 1, 2022) The effectiveness of coagulation parameters in classifying patients and predicting mortality in Covid-19. Deneysel ve Klinik Tıp Dergisi 39 1 232–236.
IEEE
[1]G. Şener, “The effectiveness of coagulation parameters in classifying patients and predicting mortality in Covid-19”, J. Exp. Clin. Med., vol. 39, no. 1, pp. 232–236, Jan. 2022, [Online]. Available: https://izlik.org/JA48CW89JX
ISNAD
Şener, Gülsen. “The Effectiveness of Coagulation Parameters in Classifying Patients and Predicting Mortality in Covid-19”. Deneysel ve Klinik Tıp Dergisi 39/1 (January 1, 2022): 232-236. https://izlik.org/JA48CW89JX.
JAMA
1.Şener G. The effectiveness of coagulation parameters in classifying patients and predicting mortality in Covid-19. J. Exp. Clin. Med. 2022;39:232–236.
MLA
Şener, Gülsen. “The Effectiveness of Coagulation Parameters in Classifying Patients and Predicting Mortality in Covid-19”. Deneysel Ve Klinik Tıp Dergisi, vol. 39, no. 1, Jan. 2022, pp. 232-6, https://izlik.org/JA48CW89JX.
Vancouver
1.Gülsen Şener. The effectiveness of coagulation parameters in classifying patients and predicting mortality in Covid-19. J. Exp. Clin. Med. [Internet]. 2022 Jan. 1;39(1):232-6. Available from: https://izlik.org/JA48CW89JX