Resiliency Groups Following Hip Fracture in Older Adults

Area of Science:

• Geriatric Medicine
• Rehabilitation Science
• Health Outcomes Research

Background:

• Defining patient recovery patterns after acute health stressors like hip fracture is crucial for both clinical practice and research.
• Understanding these patterns can inform interventions and improve patient care.

Purpose of the Study:

• To identify distinct groups of patients with similar recovery trajectories across multiple outcomes following hip fracture.
• To determine the key predictors associated with membership in these identified resiliency groups.

Main Methods:

• Secondary analysis of three prospective cohort studies involving 541 community-dwelling adults aged 65+ undergoing hip fracture repair.
• Latent profile analysis was used to identify resiliency groups based on 10 outcome measures over 12 months post-fracture.
• Logistic regression models identified predictors of group membership.

Main Results:

• Three distinct resiliency groups were identified: high (30.1%), medium (44.7%), and low (25.2%) resilience.
• Self-reported pre-fracture physical function was the strongest predictor of high resilience (AUC = .84).
• While other factors were less predictive, a multivariable model including demographics, comorbidities, and psychosocial factors achieved higher predictive power (AUC = .88).

Conclusions:

• The identified resiliency groups offer a framework for understanding physical resilience after hip fracture.
• These classifications can enhance clinical decision-making by providing a nuanced view of recovery patterns across multiple outcomes.
• Further research into mediators of physical resilience within these groups is warranted.