Risk indices predicting the mortality rate of elderly patients under clinical follow-up.

INTRODUCTION Mortality in the elderly population tends to be higher than in other age groups, but risk factor indices predicting mortality are not fully known.This large-scale clinical study aimed to identify risk factors affecting mortality, with particular focus on age and hospitalisation, and to demonstrate their effectiveness. MATERIAL AND METHODS Patients with a clinical follow-up at 29 Mayis State Hospital from July 2015 to January 2020 were retrospectively analysed. The missing or ambiguous records excluded. Age, gender, hospital length of stay, co-morbidity, consultation request and infectious diseases were investigated for their effectiveness on mortality. Through with the binary logistic regression analysis final results were obtained. Primary outcomes were factors affecting overall hospital mortality in elderly population. RESULTS A total of 11430 patients,39.9% of whom were aged?65years. Risk factors for hospital mortality were identified in the elderly population; Consultation request and hospital length of stay of?4days showed the following findings:Adjusted odds ratio(AOR)[95% confidence limit(CI)]of[1.95(1.53,2.49)(P<0.001) and 2.49(1.90,3.26)(P<0.001)],respectively. CONCLUSION Among the predictive indices determined for mortality, the most important predictive risk factor in the elderly group is the duration of hospital stay, whereas compared to the young age group, being age of 65years old stands out in terms of risk.