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Thrombo-inflammatory features predicting mortality in patients with COVID-19: The FAD-85 score
Junhong Wang1, Hua Zhang2, Rui Qiao3
1Emergency Department, Peking University Third Hospital, Beijing, China.
Insights
Inflammation and hypercoagulation markers like ferritin, tumor necrosis factor-α, D-dimer, and interleukin-6 predict COVID-19 severity and mortality. A FAD-85 score using age, ferritin, and D-dimer aids in risk assessment.
Area of Science:
- * Medical research
- * Infectious diseases
- * Critical care medicine
Background:
- * The predictive roles of inflammation and hypercoagulation in COVID-19 outcomes remain incompletely understood.
- * Understanding these factors is crucial for managing the disease's severity and prognosis.
Purpose of the Study:
- * To investigate the association between thrombo-inflammatory markers and COVID-19 severity and mortality.
- * To develop a predictive model for 28-day mortality in COVID-19 patients.
Main Methods:
- * Adult COVID-19 patients were recruited from Tongji Hospital, Wuhan.
- * Data analysis included univariate analysis and multivariable binary logistic regression.
- * A predictive score (FAD-85) and nomogram were developed using key parameters.
Main Results:
- * Elevated ferritin, tumor necrosis factor-α, D-dimer, and decreased albumin were linked to disease severity.
- * Older age, elevated ferritin, and elevated interleukin-6 predicted 28-day mortality.
- * The FAD-85 score demonstrated high sensitivity (86.4%), specificity (81.8%), and accuracy (86.4%) in predicting mortality.
Conclusions:
- * Thrombo-inflammatory markers are vital indicators of COVID-19 severity and prognosis.
- * These parameters can guide clinical treatment decisions for inflammatory and coagulation abnormalities.
Background:
The roles of inflammation and hypercoagulation in predicting outcomes of coronavirus disease 2019 (COVID-19) are unclear.
Methods:
Adult patients diagnosed with COVID-19 from 28 January 2020 to 4 March 2020 in Tongji Hospital, Wuhan were recruited. Data on related parameters were collected. Univariate analysis and multivariable binary logistic regression were used to explore predictors of critical illness and mortality.
Results:
In total, 199 and 44 patients were enrolled in the training and testing sets, respectively. Elevated ferritin, tumor necrosis factor-α and D-dimer and decreased albumin concentration were associated with disease severity. Older age, elevated ferritin and elevated interleukin-6 were associated with 28-day mortality. The FAD-85 score, defined as age + 0.01 * ferritin +D-dimer, was used to predict risk of mortality. The sensitivity, specificity and accuracy of FAD-85 were 86.4%, 81.8% and 86.4%, respectively. A nomogram was established using age, ferritin and D-dimer to predict the risk of 28-day mortality.
Conclusions:
Thrombo-inflammatory parameters provide key information on the severity and prognosis of COVID-19 and can be used as references for clinical treatment to correct inflammatory and coagulation abnormalities.
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