Senility has been identified among the strongest risk predictors for unfavorable COVID-19-outcome. However, even in the elderly population, the clinical course of infection in individual patients remains unpredictable. Hence, there is an urgent need for developing a simple tool predicting adverse COVID-19-outcomes. We assumed that the C2HEST-score could predict unfavorable clinical outcomes in the elderly subjects with COVID-19-subjects. Methods: We retrospectively analyzed 1047 medical records of patients at age > 65 years, hospitalized at the medical university center due to COVID-19. Subsequently, patients were divided into three categories depending on their C2HEST-score result. Results: We noticed significant differences in the in-hospital and 3- month and 6- month mortality-which was the highest in high – risk -C2HEST-stratum reaching 35.7%, 54.4%, and 65.9%, respectively. The medium-risk -stratum mortalities reached 24.1% 43.4%, and 57.6% and for low-risk -stratum 14.4%, 25.8%, and 39.2% respectively. In the C2HEST-score model, a change from the low to the medium category increased the probability of death intensity approximately two-times. Subsequently, transfer from the low-risk to the high-risk -stratum raised all-cause-death-intensity 2.7-times. Analysis of the secondary outcomes revealed that the C2HEST-score has predictive value for acute kidney injury, acute heart failure, and cardiogenic shock. Conclusions: C2HEST-score analysis on admission to the hospital may predict the mortality, acute kidney injury, and acute heart failure in elderly subjects with COVID-19.
【저자키워드】 COVID-19, SARS-CoV2, Mortality, elderly, Predictive value, outcomes, C2HEST-score, risk-score, senility, 【초록키워드】 Hospitalized, hospital, Infection, risk, Acute kidney injury, Clinical outcome, Probability, Acute heart failure, Shock, Clinical course, Patient, death, age, predictor, Admission, predict, Analysis, Predictive, medical record, In-hospital, intensity, significant difference, subject, medium, transfer, secondary outcome, highest, analyzed, raised, reached, category, assumed, with COVID-19, 【제목키워드】 score, value,