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Determinants of mortality after hip fracture surgery in Sweden: a registry-based retrospective cohort study.


ABSTRACT: Surgery for hip fractures is associated with high mortality and morbidity. The causes of poor outcome are not fully understood and may be related to other factors than the surgery itself. The relative contributions of patient, surgical, anaesthetic and structural factors have seldom been studied together. This study, a retrospective registry-based cohort study of 14 932 patients undergoing hip fracture surgery in Sweden from 1st of January 2014 to 31st of December 2016, aimed to identify important predictors of mortality post-surgery. The independent predictive power of our included variables was examined using Cox proportional hazards modeling with all-cause mortality at longest follow-up as the outcome. Twelve independent variables were considered as interrelated 'exposures' and their individual adjusted effect within a single model were evaluated. Kaplan-Meier curves were also generated. Crude mortality rates were 8.2% at 30 days (95% CI 7.7-8.6%) and 23.6% at 365 days (95% CI 22.9-24.2%). Of the 12 factors entered into the Cox regression analysis, age (aHR1.06, p?

SUBMITTER: Ahman R 

PROVIDER: S-EPMC6200788 | biostudies-literature | 2018 Oct

REPOSITORIES: biostudies-literature

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Determinants of mortality after hip fracture surgery in Sweden: a registry-based retrospective cohort study.

Åhman Rasmus R   Siverhall Pontus Forsberg PF   Snygg Johan J   Fredrikson Mats M   Enlund Gunnar G   Björnström Karin K   Chew Michelle S MS  

Scientific reports 20181024 1


Surgery for hip fractures is associated with high mortality and morbidity. The causes of poor outcome are not fully understood and may be related to other factors than the surgery itself. The relative contributions of patient, surgical, anaesthetic and structural factors have seldom been studied together. This study, a retrospective registry-based cohort study of 14 932 patients undergoing hip fracture surgery in Sweden from 1st of January 2014 to 31st of December 2016, aimed to identify importa  ...[more]

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