Total Knee Arthroplasty among Medicare Beneficiaries with Hemophilia A and B Is Associated with Increased Complications and Higher Costs.
Samuel RosasLeonard T BullerJohannes PlateCarlos HigueraWael K BarsoumCynthia EmoryPublished in: The journal of knee surgery (2019)
Operations on patients with hemophilia A and B are complex. Studies evaluating postoperative outcomes and costs following total knee arthroplasty (TKA) in patients with hemophilia are limited. A retrospective review of the entire Medicare dataset from 2005 to 2014 was performed. International Classification of Disease 9th revision codes were used to identify patients with hemophilia A and B and they were matched to controls using a 1:1 random matching process based on age, gender, Charlson Comorbidity Index (CCI), and select comorbidity burden. The 90-day preoperative period was evaluated for comorbidities and the 90-day postoperative period was analyzed for outcomes and reimbursements. Logistic regression models were generated to compare outcomes between cases and controls. A total of 4,034 patients with hemophilia were identified as having undergone TKA. About 44.8% were between the ages of 65 and 74 and 62.4% were female. Although the CCI was identical in both cohorts, individual comorbidities not controlled for varied significantly. Medical complications were more frequent among the patients with hemophilia: postoperative bleeding (odds ratio [OR]: 1.7; 95% confidence interval [CI]: 1.2-2.3), deep venous thrombosis (OR: 2.3; 95% CI: 1.8-2.8), pulmonary embolism (OR: 2.9; 95% CI: 2.1-3.9), and blood transfusions (OR: 1.8; 95% CI: 1.6-1.9). Hemophilia was associated with higher odds of periprosthetic infection (1.78 vs. 0.98%, OR: 1.8 95% CI: 1.2-2.7). The 90-day reimbursements were higher for patients with hemophilia (mean: $22,249 vs. $13,017, p < 0.001). Medicare beneficiaries with a diagnosis of hemophilia experience more frequent postoperative complications and incur greater 90-day costs than matched controls following TKA. Surgeons should consider this when optimizing patients for TKA and payors should consider this for risk-adjusting payment models.
Keyphrases
- total knee arthroplasty
- total hip
- pulmonary embolism
- patients undergoing
- healthcare
- end stage renal disease
- newly diagnosed
- risk factors
- ejection fraction
- machine learning
- atrial fibrillation
- deep learning
- metabolic syndrome
- chronic kidney disease
- quality improvement
- health insurance
- inferior vena cava
- skeletal muscle
- peritoneal dialysis
- patient reported outcomes
- spinal cord