Demographics and socioeconomic status as predictors of weight loss after laparoscopic sleeve gastrectomy: A prospective cohort study.

BACKGROUND

Prior studies have established that race and socioeconomic factors may influence weight loss after bariatric surgery. Few studies have focused on laparoscopic sleeve gastrectomy (LSG). The objective of this study is to determine if demographic factors may predict postoperative weight loss following LSG.

METHODS

Prospectively collected data on 713 consecutive primary LSG operations performed with the same technique between February 2010 and May 2016 by a single surgeon (PG) were analyzed. Multiple regression analysis was done to determine if gender, race, or socioeconomic factors such as insurance and employment status correlated with postoperative weight loss. The presence of chronic comorbidities affecting quality of life such as Type II Diabetes and Obstructive Sleep Apnea (OSA) were also recorded and analyzed.

RESULTS

All studied groups had similar preoperative body mass index (BMI) (mean 46 kg/m). Race was not significantly associated with weight loss at any postoperative interval. Male gender was associated with increased weight loss through the first three months (48.2 ± 12.5 lbs vs. 40.5 ± 11 lbs; p = 0.0001). Patients with diabetes had significantly less weight loss at the 6 through 18 month intervals (50.4 ± 17.9 lbs vs. 59.6 ± 15.6 lbs at six months; p = 0.00032; 53.3 ± 25.4lbs vs. 80.5 ± 31.3lbs at 18 months; p = 0.008). Patients with obstructive sleep apnea had significantly less weight loss at the two-year interval (57.5 ± 29.2 lbs) vs. those without obstructive sleep apnea (69.6 ± 23.5 lbs; p = 0.047). Those with Medicare compared to Medicaid or commercial insurance had decreased weight loss through the first year (52.8 ± 20.8 lbs vs. 71.4 ± 26.4 lbs vs. 68.6 ± 24.7 lbs; p = 0.0496). Notably, a higher percentage of patients in the Medicare insurance group were also diabetic and had OSA (65% vs. 34% vs. 36%; p = 0.002; 80% vs. 55% vs. 57%; p = 0.01). Finally, those patients who were students had the greatest weight loss at two years postoperatively with the least weight loss seen in retired patients followed by those on disability (108.0 ± 21.5 lbs vs. 26.0 lbs vs. 46.0 ± 19.7 lbs; p = 0.04).

CONCLUSIONS

Several demographic factors including comorbidities, insurance status, and employment may significantly affect weight loss patterns following LSG. Further studies are needed to evaluate whether demographic differences impact long term weight loss. Differences in outcomes based on patient demographics may be beneficial in the planning of the allocation of healthcare resources.