HATCH Score for Predicting Mortality in COVID-19 Patients
Iranian Journal of Public Health, cilt.51, sa.12, ss.2717-2723, 2022 (SCI-Expanded, SSCI, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 51 Sayı: 12
- Basım Tarihi: 2022
- Dergi Adı: Iranian Journal of Public Health
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Social Sciences Citation Index (SSCI), Scopus, CAB Abstracts, CINAHL, Veterinary Science Database, Directory of Open Access Journals
- Sayfa Sayıları: ss.2717-2723
- Anahtar Kelimeler: SARS-CoV-2, Score, Mortality
- Sağlık Bilimleri Üniversitesi Adresli: Evet
Özet
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.