Comorbidity Patterns in Older Patients Undergoing Hip Fracture Surgery: A Comorbidity Network Analysis Study

Area of Science:

• Geriatric Medicine
• Network Science
• Health Informatics

Background:

• Hip fractures are a significant health issue in older adults, often associated with multiple comorbidities.
• Understanding comorbidity patterns is crucial for effective patient management and improving surgical outcomes.

Purpose of the Study:

• To apply Comorbidity Network Analysis (CNA) to identify and characterize comorbidity patterns in elderly patients undergoing hip fracture surgery.
• To determine central and interconnected diseases within this patient cohort to inform clinical practice.

Main Methods:

• Retrospective observational cohort study using electronic health records (EHR) from 1,171 patients (≥65 years) with hip fractures.
• Comorbidity Network Analysis (CNA) was performed on 17 Charlson Comorbidity Index diagnoses, quantifying associations using Observed-to-Expected Ratio (OER).
• Network centrality measures and cluster detection algorithms were employed to analyze disease interconnections and identify comorbidity clusters.

Main Results:

• Twelve diseases showed significant interconnections (OER > 1, p < .05).
• Strongest associations included metastatic carcinoma/mild liver disease, myocardial infarction/congestive heart failure, and hemi/paraplegia/cerebrovascular disease (OER > 2.5).
• Cerebrovascular disease, congestive heart failure, and myocardial infarction emerged as central nodes. Two clusters were identified, with the largest containing 10 diseases, predominantly cardiometabolic and cognitive disorders.

Conclusions:

• CNA effectively identified significant comorbidity patterns in older hip fracture patients.
• Central diseases and distinct comorbidity clusters were highlighted, offering insights for targeted clinical assessment and interventions.
• Findings can guide management strategies to improve outcomes for elderly patients with hip fractures and complex comorbidities.