Peer Reviewed Article
Published:
February 26, 2014

Use of Bariatric Outcomes Longitudinal Database (BOLD) to Study Variability in Patient Success After Bariatric Surgery

Stephen Benoit, Tiffany Hunter, Desiree Francis, Nestor de la Cruz-Muñoz

Use of Bariatric Outcomes Longitudinal Database (BOLD) to Study Variability in Patient Success After Bariatric Surgery — Obesity Surgery, 2014
Key Takeaways
  • The choice of operation was the single strongest predictor of weight loss.
  • Starting weight was the second most important factor.
  • Age, race and diabetes had only small effects on weight loss.
  • About one-third of the difference between patients could not be explained, pointing to behavioral, metabolic and biological factors still being studied.
Abstract/Summary

Using the national Bariatric Outcomes Longitudinal Database (BOLD), this study examined why weight loss varies so widely between patients after bariatric surgery. It included 31,443 adjustable gastric band, 40,352 Roux-en-Y gastric bypass and 2,194 sleeve gastrectomy patients operated on from 2007 to 2010. The type of operation explained 44.8% and starting weight 18.5% of the variation in absolute weight loss at 12 months, while age, race and diabetes each explained less than 1%. About a third of the variation remained unexplained.

In-Depth Review

Why This Study Was Needed

Two patients can have the same operation and lose very different amounts of weight. Understanding why helps surgeons choose the right operation and set realistic expectations. This study used one of the largest bariatric databases ever assembled to find out which factors matter most.

How the Study Was Done

The team analyzed the Bariatric Outcomes Longitudinal Database (BOLD), a national registry maintained by the Surgical Review Corporation. It included adults having a first operation between 2007 and 2010: 31,443 adjustable gastric band patients, 40,352 gastric bypass patients and 2,194 sleeve gastrectomy patients. Statistical models examined how procedure, demographics, comorbidities and surgical history related to weight and BMI loss at 12, 18 and 24 months.

What the Study Found

  • The models explained 52% to 65% of the variation in absolute weight loss.
  • At 12 months, the type of operation accounted for 44.8% of the variation and starting weight for 18.5%.
  • Age, race and diabetes were statistically significant but each explained less than 1%.
  • About 34% of the variation remained unexplained.

What This Means for Patients

The most important decision you make is choosing the right operation for you. Read which bariatric surgery is best for you and realistic results after surgery. The large unexplained portion is a reminder that individual biology matters too, which we discuss in why weight loss is not fair.

Clinical Pearls

  • Procedure type is the dominant driver of one-year weight loss.
  • Demographic factors such as race have very small effects on weight loss in national data.
  • One-third of weight loss variability is not explained by routinely collected clinical data.

Strengths and Limitations

The sample of more than 74,000 patients gives the study great statistical power. It reflects an era when gastric banding was common and sleeve gastrectomy was new, and the registry did not capture behavior, diet, activity or genetics.

Expert Commentary

Patients often ask me how much weight they will lose. This study showed that the operation itself is the biggest factor, which is why I spend so much time helping each patient choose the right one. It also showed how much we still do not understand about why people respond differently.

— Dr. Nestor de la Cruz-Muñoz

Benoit S, Hunter T, Francis D, de la Cruz-Muñoz N. Use of Bariatric Outcomes Longitudinal Database (BOLD) to Study Variability in Patient Success After Bariatric Surgery. Obesity Surgery. 2014;24(6):936-943. doi:10.1007/s11695-014-1197-y.

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