Georgian medical news · 2025
FACTORS AFFECTING MORTALITY IN PATIENTS WITH HIP FRACTURES AND SHAH HIP FRACTURE MORTALITY SCORE: A RISK QUANTIFICATION TOOL.
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Shah F, Clough R, Saleh F, Poustie M, Balanos I, Najjar A
Аннотация
OBJECTIVE: Hip fractures are serious injuries of elderly associated with 6.2% mortality in first 30-days and 22% mortality in first year. We aim to identify the key risk factors affecting mortality and to produce a score to predict 30 and 365-day mortality risk in patients with hip fracture.
METHODS: 689 hip fractures managed at our hospital between 2016 and 2019 were analysed. Mortality at 30 and 365-days was obtained for factors like age, gender, American Society of Anaesthesiologists physical status classification (ASA grade), residence, pre-fracture ambulatory status, Abbreviated Mental Test Score (AMTS), fracture classification, treatment method, time to surgery and anaesthesia used. This data was analysed using univariate and then multivariate regression analysis and a 7-point (5 Factor) score was devised to predict mortality in the first month and first year following hip fracture.
RESULTS: 6.7% and 25.3% of the 689 patients died within 30 and 365-days of suffering a hip fracture. Older age, Male sex, ASA Class IV/V, Non-operative management, and housebound/bedbound status, were all found to be associated with increased mortality at 30 and 365-days post-fracture.
CONCLUSIONS: This study identified Age, Sex, ambulation, ASA grade and non-operative management as key factors influencing 30 and 365-day mortality. Patients with the non-operative management and ASA grade 4/5 had the worst mortality risk. We devised a scoring system to predicts the 30-day and 365-day mortality which shows an almost linear relationship between the score and mortality rates.
METHODS: 689 hip fractures managed at our hospital between 2016 and 2019 were analysed. Mortality at 30 and 365-days was obtained for factors like age, gender, American Society of Anaesthesiologists physical status classification (ASA grade), residence, pre-fracture ambulatory status, Abbreviated Mental Test Score (AMTS), fracture classification, treatment method, time to surgery and anaesthesia used. This data was analysed using univariate and then multivariate regression analysis and a 7-point (5 Factor) score was devised to predict mortality in the first month and first year following hip fracture.
RESULTS: 6.7% and 25.3% of the 689 patients died within 30 and 365-days of suffering a hip fracture. Older age, Male sex, ASA Class IV/V, Non-operative management, and housebound/bedbound status, were all found to be associated with increased mortality at 30 and 365-days post-fracture.
CONCLUSIONS: This study identified Age, Sex, ambulation, ASA grade and non-operative management as key factors influencing 30 and 365-day mortality. Patients with the non-operative management and ASA grade 4/5 had the worst mortality risk. We devised a scoring system to predicts the 30-day and 365-day mortality which shows an almost linear relationship between the score and mortality rates.