A 5-year characterization of trends and outcomes in elderly patients undergoing elective bariatric surgery.

BACKGROUND: The North American population with severe obesity is aging and with that so will the number of elderly patients (≥ 65 years) meeting indications for metabolic surgery. Trends in bariatric delivery in this population are poorly characterized and outcomes remain conflicting, limiting potential uptake and delivery. METHODS: The MBSAQIP database was used to identify elderly patients (≥ 65 years) undergoing elective bariatric surgery from 2015 to 2019. Our objectives were to analyze their unique characteristics, surgical operative trends, and outcomes by comparing to a non-elderly cohort. Multivariable logistic regression identified independent predictors of serious complications and 30-day mortality. RESULTS: There was a total of 751,607 patients, 5.3% (n = 39,854) were elderly. Mean ages were 43 ± 11 years (non-elderly) versus 68 ± 3 years (elderly). Elderly patients were less likely to be female (70.7% elderly; 80.1% non-elderly) and had lower BMI (43.17 ± 6.64 kg/m2 elderly; 45.42 ± 7.87 kg/m2 non-elderly). They had higher American Society of Anesthesiologists classification, lower functional status, more insulin dependent diabetes, and hypertension, among other comorbidities. There were no clinically significant differences between the most frequently performed bariatric surgery. Sleeve gastrectomy remained the most common (73.7% non-elderly; 72.3% elderly); however, operative time was longer among the elderly. Functional status was most predictive for both serious complications (OR 1.72; CI 1.53-1.94) and mortality (OR 2.92; CI 1.98-4.31). Surgery among elderly patients was associated with poorer 30-day postoperative outcomes across all categories and was independently associated with serious complications (OR 1.23; CI 1.17-1.30, p < 0.001; AR 4.64%) and 30-day mortality (OR 2.49; CI 2.00-3.11, p < 0.001; AR 0.27%), after adjusting for comorbidities. CONCLUSIONS: After adjusting for comorbidities, functional status remains the most predictive factor for poor outcomes; however, elderly patients have increased 30-day odds of serious complications and 30-day mortality, suggesting a need to tailor our approach to these individuals that carry a unique operative risk.

A Longitudinal Analysis of Wait Times for Bariatric Surgery in a Publicly Funded, Regionalized Bariatric Care System.

BACKGROUND: Bariatric surgery is proven to be the most effective strategy for management of obesity and its related comorbidities. However, in Canada, patients awaiting bariatric surgery can be subjected to prolonged wait times, thereby subjecting them to increased morbidity and mortality, as well as decreased psychosocial well-being. OBJECTIVE: To assess the factors associated with prolonged wait times for bariatric surgery within a publicly funded, provincial bariatric network. METHODS: This was a retrospective population-based study of all patients aged > 18 years who were referred for bariatric surgery from April 2009 to May 2015 using linked administrative databases to capture patient demographic data, socioeconomic variables, healthcare utilization, and institutional factors. The main outcome of interest was a wait time greater than 18 months. Multivariate logistic regression modeling was used to estimate odds ratios (OR) and 95% confidence intervals (CI). RESULTS: A total of 18,854 patients underwent bariatric surgery from April 2009 to December 2016, of which 2407 patients experienced wait times of > 18 months. On average, yearly wait times have increased for patients receiving surgery with wait times of 10.98 months (SD 5.48) in 2010 and 13.09 (SD 6.69) in 2016 (p < 0.001). Increasing age (OR 1.12, 95% CI 1.05-1.19, p = 0.0004), BMI (OR 1.08, 95% CI 1.04-1.11, p < 0.001), and male gender (OR 1.47, 95% CI 1.28-1.70, p < 0.001) were significantly associated with increased bariatric surgery wait times. Additionally, smoking status (OR 1.46, 95% CI 1.09-1.97, p = 0.0118) and obesity-related comorbidities particularly diabetes (OR 1.29, 95% CI 1.14-1.44, p < 0.001) and heart failure (OR 1.72, 95% CI 1.43-2.07, p < 0.001) were correlated with prolonged wait times for surgery. Socioeconomic variables including disability (OR 1.64, 95% CI 1.38-1.92, p < 0.001) and immigration status (OR 1.35, 95% 1.11-1.64, p = 0.003) were correlated with increased odds of longer wait times, as were regions with regionalized assessment and treatment centres (RATC) when referenced against centers of excellence (COEs) in number of days added with 20.45 (95% CI 13.20-27.70, p < 0.001). CONCLUSION: Wait times for bariatric surgery in a publicly funded, regionalized bariatric program are influenced by certain patient characteristics, socioeconomic variables, and institutional factors. This warrants further intervention and study to help improve these inequities when encountering potentially vulnerable populations awaiting bariatric surgery.