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Investigation of the relationship between coagulation parameters and mortality in COVID-19 infection
1Department of Emergency Medicine, Beyhekim Training and Research Hospital, Selcuklu, Konya, Turkey.
Insights
Coagulation markers like d-dimer and fibrinogen are linked to higher mortality in COVID-19 patients. Monitoring these, along with clinical data, improves predicting patient survival outcomes.
Area of Science:
- Medical Research
- Hematology
- Infectious Diseases
Background:
- Coronavirus disease 2019 (COVID-19) poses significant mortality risks.
- Coagulation abnormalities are frequently observed in severe COVID-19 cases.
- Understanding predictors of mortality is crucial for patient management.
Purpose of the Study:
- To investigate the association between specific coagulation parameters and mortality in COVID-19 patients.
- To evaluate the predictive value of coagulation markers for COVID-19 outcomes.
Main Methods:
- Retrospective analysis of adult COVID-19 patients admitted to the emergency department.
- Evaluation of demographic, clinical, vital, and coagulation parameters (d-dimer, PT, aPTT, INR, fibrinogen, platelet).
- Statistical analysis including Receiver Operating Characteristic (ROC) and regression models.
Main Results:
- Elevated d-dimer, fibrinogen, INR, and PT were observed in elderly patients.
- Higher d-dimer levels correlated with longer hospitalization.
- Increased d-dimer and fibrinogen, and decreased platelet and aPTT, were associated with increased mortality.
- ROC analysis showed significant diagnostic potential for d-dimer and fibrinogen.
Conclusions:
- Coagulation parameters including d-dimer, fibrinogen, aPTT, and platelet count are significantly associated with COVID-19 mortality.
- Combining coagulation markers with clinical, vital, and demographic data enhances mortality prediction accuracy.
Abstract:
This study, which included patients over the age of 18 who were diagnosed with coronavirus disease 2019 (COVID-19) in the emergency clinic, aims to determine the relationship between coagulation parameters and mortality. Epidemiologic data such as age, gender, medical history, vital parameters at emergency department admission, clinical findings, coagulation parameters such as d-dimer, prothrombin time (PT), active partial thromboplastin time (aPTT), international normalized ration (INR), fibrinogen, and platelet were evaluated. Patients with positive computerized tomography (CT) findings and positive polymerase chain reaction (PCR) together were included in the study. It was revealed that d-dimer, fibrinogen, INR, and PT values were higher in the elderly group. It was shown that there was a significant relationship between hospitalization days (ward or intensive care unit) and d-dimer levels. It was observed that d-dimer, fibrinogen elevation was significantly associated with prognosis by increasing mortality, and that platelet and aPTT values were also associated with prognosis and were lower in the mortality group. On the other hand, in receiver operating characteristic (ROC) analysis, the sensitivity and specificity data were 80.3%/80.0% for d-dimer, 70.5%/72.2% for fibrinogen, 58.2%/59.4% for aPTT, and 59.7%/59.2% for platelet, respectively. The overall classification success was 88.6% and mortality prediction success was 37.7% in the regression model of some coagulation parameters (d-dimer, fibrinogen, aPTT, and platelet) which were effective on prognosis. In conclusion, it was determined that d-dimer, fibrinogen, aPTT, and platelet parameters were directly associated with mortality and when these coagulation parameters were used together with the clinical, vital, and demographic data of the patients, the success of mortality prediction increased significantly.
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