HATCH Score for Predicting Mortality in COVID-19 Patients

BACKGROUND: We aimed to evaluate the relationship between HATCH score [hypertension, age >75 yr, previous transient ischemic attack (TIA) or stroke (doubled), chronic obstructive pulmonary disease, heart failure (doubled)] and in-hospital mortality in COVID-19 patients. METHODS: Overall, 572 COVID-19 patients hospitalized between Mar 15 and Apr 15, 2020, were included in this multicenter retrospective study, in Turkey. The HATCH score of each patient was calculated. Mortality results were followed for 50 days. The patients were divided into 2 groups developing mortality (n=267) and non-mortality (n=305). Clinical outcomes were defined as in-hospital mortality improvement status. RESULTS: HATCH scores in non-survivors of COVID-19 were significantly higher than in survivors (P<0.001). In logistic regression analysis, HATCH score (OR: 1.253, 95% CI: 1.003–1.565; P=0.047), platelet count (OR: 0.995, 95% CI: 0.993–0.998; P<0.001), C-reactive protein level (OR: 1.010, 95% CI: 1.007–1.013, P<0.001) and estimated glomerular filtration ratio (eGFR) level (OR: 0.963, 95% CI: 0.953–0.973; P<0.001) were independent predictors of in-hospital mortality in COVID-19 patients. CONCLUSION: The HATCH score is useful in predicting in-hospital mortality in patients hospitalized with COVID-19.