D-Dimer, ferritin, and lactate dehydrogenase (LDH) as predictors of mortality in hospitalized COVID-19 patients
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Fierna D Hanafi1, Tenri Esa2, Asvin Nurulita3
1Specialist Medical Education Program in Clinical Pathology, Faculty of Medicine, Hasanuddin University, Makassar, South Sulawesi, Indonesia.
Insights
Elevated levels of D-dimer, ferritin, and lactate dehydrogenase (LDH) predict mortality in severe COVID-19 patients. These biomarkers, particularly ferritin and LDH, demonstrate high accuracy in identifying patients at risk.
Area of Science:
- Medical Research
- Biomarker Discovery
- Infectious Diseases
Background:
- Coronavirus disease 2019 (COVID-19) poses a significant mortality risk.
- Identifying reliable predictors of COVID-19 mortality is crucial for patient management.
Purpose of the Study:
- To investigate the predictive value of D-dimer, ferritin, and lactate dehydrogenase (LDH) for mortality in severe COVID-19 patients.
- To assess the accuracy of these laboratory parameters in forecasting patient outcomes.
Main Methods:
- A retrospective cohort study analyzed data from 147 hospitalized COVID-19 patients.
- D-dimer, ferritin, and LDH levels were measured upon admission.
- Patients were grouped into survival and non-survival cohorts for comparative analysis.
Main Results:
- Non-survivors exhibited significantly higher D-dimer, ferritin, and LDH levels compared to survivors (p < 0.001).
- These markers showed moderate correlation with mortality and robust predictive accuracy.
- Ferritin alone demonstrated high sensitivity and specificity (AUC=0.906), with combined ferritin and LDH achieving superior prediction (AUC=0.959).
Conclusions:
- D-dimer, ferritin, and LDH are significantly elevated in non-survivors of severe COVID-19.
- These biomarkers possess robust sensitivity and specificity, establishing them as valuable predictors of COVID-19 mortality.
Introduction:
Several laboratory parameters may be predictors of coronavirus disease 2019 (COVID-19) mortality. This study aimed to analyze the potential of D-dimer, ferritin, and lactate dehydrogenase (LDH) to predict mortality in severe COVID-19 patients.
Methodology:
A retrospective cohort study, including 147 patients, was examined using secondary data from medical records of hospitalized COVID-19 patients. D-dimer, ferritin, and LDH levels were obtained from the patients' blood analysis on first hospitalization. Patients were then categorized into a survival group (97 patients) and a non-survival group (50 patients) based on final outcome. Proportions and means were analyzed using Chi square and Mann-Whitney tests. Further, the correlation and accuracy were analyzed using partial correlations test and receiver operating characteristic curve analysis. The combination of multiple predictors was also analyzed.
Results:
The non-survival group had significantly higher levels of D-dimer (32.11 ± 13.05 vs. 9.57 ± 16.65; p < 0.001), ferritin (1719.84 ± 539.52 vs. 808.83 ± 664.81; p < 0.001), and LDH (1782.92 ± 1537.92 vs. 622.848 ± 274.79; p < 0.001) than the survival group. These parameters also had a moderate correlation with mortality (r > 0.500) and robust sensitivity and specificity for predicting mortality, especially ferritin (AUC = 0.906; sensitivity = 92.3%; specificity = 87.5%; p < 0.001), and the combination of ferritin and LDH with or without D-dimer (AUC = 0.959; sensitivity = 100%; specificity = 87.5%; p < 0.001).
Conclusions:
The levels of these parameters are significantly higher, have robust sensitivity and specificity, and can be used as predictors of mortality.
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