Introducing a Bariatric Surgery Program at a Large Urban Safety Net Medical Center Serving a Primarily Hispanic Patient Population.

BACKGROUND: Few bariatric surgery programs exist at safety net hospitals which often serve patients of diverse racial and socioeconomic backgrounds. A bariatric surgery program was developed at a large urban safety net medical center serving a primarily Hispanic population. The purpose of this study was to evaluate safety, feasibility, and first-year outcomes to pave the way for other safety net bariatric programs. METHODS: The bariatric surgery program was started at a safety net hospital located in a neighborhood with over twice the national poverty rate. A retrospective review was performed for patient demographics, comorbidities, preoperative diet and exercise habits, perioperative outcomes, and 1-year outcomes including percent total weight lost (%TWL) and comorbidity reduction. RESULTS: A total of 153 patients underwent laparoscopic sleeve gastrectomy from May 2017 through December 2019. The average preoperative BMI was 47.9kg/m2, and 54% of patients had diabetes. The 1-year follow-up rate was 94%. There were no mortalities and low complication rates. The average 1-year %TWL was 22.8%. Hypertension and diabetes medications decreased in 52% and 55% of patients, respectively. The proportion of diabetic patients with postoperative HbA1c <6.0% was 49%. CONCLUSION: This is one of the first reports on the outcomes of a bariatric surgery program at a safety net hospital. This analysis demonstrates feasibility and safety, with no mortalities, low complication rates, and acceptable %TWL and comorbidity improvement. More work is needed to investigate the impacts of race, culture, and socioeconomic factors on bariatric outcomes in this population.

Updated hazard rate equations for dual safeguard systems.

A previous paper by this author [M.J. Rothschild, Updated hazard rate equation for single safeguards, J. Hazard. Mater. 130 (1-2) (2006) 15-20] showed that commonly used analytical methods for quantifying failure rates overestimates the risk in some circumstances. This can lead the analyst to mistakenly believe that a given operation presents an unacceptable risk. For a single safeguard system, a formula was presented in that paper that accurately evaluates the risk over a wide range of conditions. This paper expands on that analysis by evaluating the failure rate for dual safeguard systems. The safeguards can be activated at the same time or at staggered times, and the safeguard may provide an indication whether it was successful upon a challenge, or its status may go undetected. These combinations were evaluated using a Monte Carlo simulation. Empirical formulas for evaluating the hazard rate were developed from this analysis. It is shown that having the safeguards activate at the same time while providing positive feedback of their individual actions is the most effective arrangement in reducing the hazard rate. The hazard rate can also be reduced by staggering the testing schedules of the safeguards.

Updated hazard rate equation for single safeguards.

Commonly used equations have been developed which allow application of failure rate data for safeguards. While these equations often give reasonable results, they can significantly over predict the risk for some conditions. This can lead the analyst to believe that a given operation presents an unacceptable risk, requiring additional safety measures when, in fact, the operation may actually meet the risk criteria. This paper shows the limitations of the commonly used equations by comparing those equations with hazard rates generated from Monte Carlo simulations. A little-known equation is then presented, which is shown to precisely match the Monte Carlo simulations. It is suggested that this equation be used when accuracy is required.