%0 Journal Article
%T Major comorbid diseases as predictors of infection in the first month after hip fracture surgery: a population-based cohort study in 92,239 patients.
%A Gadgaard NR
%A Varnum C
%A Nelissen R
%A Vandenbroucke-Grauls C
%A Sørensen HT
%A Pedersen AB
%J Eur Geriatr Med
%V 0
%N 0
%D 2024 May 22
%M 38775876
%F 3.269
%R 10.1007/s41999-024-00989-w
%X <B>OBJECTIVE: </B>Comorbidity level is a predictor of infection in the first 30 days after hip fracture surgery. However, the roles of individual comorbid diseases as predictors of infection remain unclear. We investigated individual major comorbid diseases as predictors of infection after hip fracture surgery.<BR><B>METHODS: </B>We obtained Danish population-based medical registry data for patients undergoing hip fracture surgery (2004-2018). Information was obtained on 27 comorbidities, included in various comorbidity indices, 5 years before surgery. The primary outcome was any hospital-treated infection within 30 days after surgery. Cumulative incidence of infection was calculated by considering death as competing risk. We used logistic regression to compute mutually adjusted odds ratios with 95% confidence interval for infection.<BR><B>RESULTS: </B>Of 92,239 patients with hip fracture, 71% were women, and the median age was 83 years. The most prevalent comorbidities were hypertension (23%), heart arrhythmia (15%), and cerebrovascular disease (14%). The 30-day incidence of infection was 15% and 12% among the total cohort and among patients with no record of comorbidities, respectively. Infection incidence was highest among patients with renal disease (24%), depression/anxiety (23%), and chronic pulmonary disease (23%), and lowest among patients with metastatic solid tumor (15%). Adjusted odds ratios of infection ranged from 0.94 [0.80-1.10] for metastatic solid tumor to 1.77 [1.63-1.92] for renal disease.<BR><B>CONCLUSIONS: </B>Most comorbid diseases were predictors of infection after surgery for hip fracture. Awareness of patients' comorbidity profiles might help clinicians initiate preventive measures or inform patients of their expected risk.