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Reducing Unnecessary Preoperative Cardiology Referral and Cost in Patients Undergoing Bariatric Surgery
Andrew Deak1, Lauren E Tragesser1, Kaitlyn D Ibrahim2
1Lewis Katz School of Medicine at Temple University, Philadelphia, Pennsylvania; Department of Internal Medicine, Temple University Hospital, Philadelphia, Pennsylvania.
Insights
A new algorithm using cardiac risk factors can reduce unnecessary cardiology referrals for bariatric surgery patients, saving costs and resources without impacting patient safety.
Area of Science:
- Cardiology
- Bariatric Surgery
- Healthcare Management
Background:
- Metabolic and bariatric surgery (MBS) candidates have high cardiovascular disease (CVD) risk.
- Current guidelines lack clear criteria for preoperative cardiac risk stratification in MBS patients.
- This increases surgical risk and potentially leads to unnecessary healthcare utilization.
Purpose of the Study:
- To develop and test a novel referral algorithm for preoperative cardiac risk stratification in MBS candidates.
- To assess the algorithm's impact on reducing unnecessary cardiology referrals and associated costs.
- To evaluate the algorithm's effect on patient safety and postoperative cardiac complications.
Main Methods:
- Retrospective analysis of 1,528 MBS patients (2014-2023).
- Calculation of Revised Cardiac Risk Index (RCRI) scores.
- Development of a novel referral algorithm incorporating RCRI, smoking history, age, and METS.
- Simulation of referral patterns and cost savings based on the algorithm.
Main Results:
- 56% of MBS patients were referred to cardiology preoperatively.
- A standardized algorithm could have reduced referrals by 30% (255 patients), identifying low-risk individuals.
- Estimated cost savings of approximately $28,000 from reduced unnecessary consultations and testing.
- No postoperative cardiac complications were observed in the study cohort.
Conclusions:
- A novel referral algorithm, integrating RCRI and other CVD risk factors, can optimize preoperative cardiac risk stratification for MBS candidates.
- Implementation may significantly decrease unnecessary cardiology referrals, leading to reduced resource utilization and cost savings.
- The proposed algorithm shows potential for improving healthcare efficiency without compromising patient safety in the context of bariatric surgery.
Abstract:
Candidates for metabolic and bariatric surgery (MBS) are at increased risk for cardiovascular disease (CVD), which may increase surgical risk. Currently, there are no society guidelines indicating which patients are appropriate for preoperative cardiac risk stratification. We hypothesized that applying a standardized surgical risk calculator with a novel referral algorithm to stratify patients for preoperative cardiac risk stratification would decrease unnecessary referrals and cost to patients and the healthcare system. All patients undergoing MBS at our institution between 2014 and 2023 were identified. Baseline patient characteristics, referrals to cardiology, subsequent cardiac testing ordered, and surgical outcomes were measured. Revised Cardiac Risk Index (RCRI) score was retrospectively calculated for each patient and grouped as low versus increased risk (RCRI score of 0 vs ≥1). Deriving a novel scoring system (RCRI score, ever smoker, age ≥65, and/or METS ≤4) and imputing this retrospective referral algorithm using this score to guide cardiology referral, we calculated how the referral pattern would be affected and the resultant change in costs. Postoperative cardiac complications were assessed as defined by myocardial infarctions, cardiac arrests, stroke, or cardiovascular death. A total of 1,528 patients underwent MBS during the study period, of which 56% (n = 852) were referred to cardiology preoperatively. Those referred were older, had more hypertension, hyperlipidemia, and diabetes, were ever smokers, had heart failure and atrial fibrillation, and were more likely to have BMI >50 kg/m2. Of those patients with an RCRI score of 0, 45% (n = 435) underwent further cardiac testing. Strictly applying our standardized referral algorithm, of the 852 patients referred to cardiology, 30% (n = 255) were referred despite being low risk. Based on Medicare reimbursement for Level 4 outpatient consults and unnecessary testing, this would have resulted in a savings of approximately $28,000. There were no postoperative cardiac complications. In conclusion, among candidates for bariatric surgery, a novel referral algorithm based on RCRI and other CVD risk factors may reduce unnecessary preoperative cardiology referrals, with resultant reduction in resource utilization and overall cost savings.
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