HATCH Score for Predicting Mortality in COVID-19 Patients

Background: We aimed to evaluate the relationship between HATCH score [hypertension, age >75 yr, pre-vious 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. © 2022 Alıcı et al. Published by Tehran University of Medical Sciences.

Prognostic significance of Tp-e interval and Tp-e/QTc ratio in patients with COVID-19

OBJECTIVE: Ventricular arrhythmias were the most frequent manifestations in patients with COVID-19. Both the natural course of the disease and the treatment drugs used have effects on ventricular repolarization. The objective of this study was to evaluate the effects of repolarization parameters obtained from surface electrocardiography (ECG) on prognosis. PATIENTS AND METHODS: Participants were 205 consecutive patients hospitalized with COVID-19 diagnosis. The 12-lead surface ECG was obtained from each patient on admission. The ECG results were evaluated against the patients' clinical characteristics and outcomes by experienced cardiology specialists. RESULTS: The mean age was higher in the non-survivor group compared to the survivor group (57.4 +/- 15.7 vs. 65.6 +/- 16.6;p = 0.001). The demographical characteristics were similar between the survivor and non-survivor groups. Multivariate analyses demonstrated that age (OR: 1.041;p = 0.009), D-dimer (OR: 1.002;p = 0.031), high-sensitivity troponin I (hs-TnI) (OR: 1.010;p = 0.041), pneumonia on computed tomography (CT) (OR: 4.985;p < 0.001), the peak-to-end interval of the T wave (Tp-e) (OR: 3.421;p < 0.001), and Tp-e/QTc ratio (OR: 1.978;p = 0.013) were statistically significant independent predictors in terms of determining mortality. CONCLUSIONS: Prolonged Tp-e interval and increased Tp-e/QTc ratio on admission are decent predictors and linked with mortality. ECG is a practical study to evaluate prognosis and potential arrhythmias, as well as initiating suitable treatment.