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Factors Associated with the Treatment Costs within the First Year after Pacemaker Implantation or Pulse Generator
Lucas Bassoli de Oliveira Alves1, Katia Regina Silva1, Jacson Venancio Barros2
1Instituto do Coração do Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, São Paulo, SP - Brasil.
Hospital readmissions and complications after pacemaker surgery significantly increase annual treatment costs for the Unified Health System (SUS). Factors like age and comorbidities also impact overall healthcare expenses.
Area of Science:
- Cardiology
- Health Economics
- Public Health
Background:
- The increasing elderly population drives a steady rise in artificial cardiac pacemaker usage.
- Understanding the economic implications of pacemaker procedures is crucial for healthcare system management.
Purpose of the Study:
- To evaluate hospital readmission and complication rates following pacemaker implantation or pulse generator replacement.
- To assess the financial impact of these events on annual treatment costs within the Unified Health System (SUS).
Main Methods:
- A prospective registry collected clinical practice data during initial hospitalization and the first year post-procedure.
- Costs were estimated based on SUS reimbursement values and analyzed at the patient level.
- Generalized linear models identified factors influencing total annual treatment costs (significance level: 5%).
Main Results:
- 1,223 patients (634 initial implants, 589 replacements) were analyzed.
- Complications occurred in 5.1% of patients (70 episodes).
- One-year hospital readmission rates were 16.4% for initial implants and 10.6% for replacements.
- Chronic kidney disease, stroke history, prolonged hospital stays, intensive care needs, complications, and readmissions significantly impacted annual costs.
Conclusions:
- Age, comorbidities, postoperative complications, and hospital readmissions are key drivers of increased annual treatment costs for pacemaker patients.
- These findings underscore the importance of managing patient factors to optimize healthcare resource allocation for pacemaker care.
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