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HATCH Score for Predicting Mortality in COVID-19 Patients
Gökhan Alıcı1, Ömer Genç2, Hazar Harbalıoğlu3
1Department of Cardiology, Adana City Training and Research Hospital, University of Health Sciences, Adana, Turkey.
Iranian Journal of Public Health
|February 6, 2023
Summary
The HATCH score effectively predicts in-hospital mortality in COVID-19 patients. Higher HATCH scores were observed in non-survivors, indicating its utility in risk stratification for severe COVID-19 outcomes.
Area of Science:
- Medical Science
- Epidemiology
- Critical Care Medicine
Background:
- COVID-19 poses a significant global health threat, necessitating tools for risk stratification.
- Identifying predictors of in-hospital mortality is crucial for managing COVID-19 patients.
Purpose of the Study:
- To evaluate the association between the HATCH score and in-hospital mortality in COVID-19 patients.
- To determine if the HATCH score can serve as a predictive tool for COVID-19 mortality.
Main Methods:
- A multicenter retrospective study included 572 COVID-19 patients hospitalized in Turkey.
- The HATCH score was calculated for each patient, and mortality was followed for 50 days.
- Patients were categorized into mortality (n=267) and non-mortality (n=305) groups.
Main Results:
- HATCH scores were significantly higher in COVID-19 non-survivors compared to survivors (P<0.001).
- The HATCH score was identified as an independent predictor of in-hospital mortality (OR: 1.253, P=0.047).
- Platelet count, C-reactive protein, and eGFR were also independent predictors of mortality.
Conclusions:
- The HATCH score demonstrates utility in predicting in-hospital mortality among COVID-19 patients.
- This score can aid clinicians in identifying high-risk individuals requiring closer monitoring and intervention.
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