BACKGROUND: Weight loss is more variable after laparoscopic adjustable gastric banding (LAGB) than after gastric bypass. Subgroup analysis of patients may offer insight into this variability. The aim of our study was to identify preoperative factors that predict outcome. METHODS: Demographics, co-morbid conditions and follow-up weight were collected for our 1st 200 LapBand patients. Linear regression determined average %EWL. Logistic regression analysis identified factors that impacted %EWL. RESULT: 200 patients returned for 778 follow-up visits. Median age was 44 years (21-72) and median BMI 45 kg/m2 (31-76). 140 (80%) were women. Average %EWL was y % = 0.007 %/day (days since surgery) + 0.12% (correlation coef. 0.4823; P<0.001). %EWL at 1 year was 37%. The best-fit logistic regression model found 7 factors that significantly changed the odds of achieving average %EWL. Older patients, diabetic patients and patients with COPD had greater odds of above average %EWL. Female patients, patients with larger BMIs, asthmatic patients and patients with hypertension had increased odds of below average %EWL. CONCLUSION: Specific patient characteristics and comorbid conditions significantly altered the odds of achieving satisfactory %EWL following gastric banding.
BACKGROUND:Weight loss is more variable after laparoscopic adjustable gastric banding (LAGB) than after gastric bypass. Subgroup analysis of patients may offer insight into this variability. The aim of our study was to identify preoperative factors that predict outcome. METHODS: Demographics, co-morbid conditions and follow-up weight were collected for our 1st 200 LapBand patients. Linear regression determined average %EWL. Logistic regression analysis identified factors that impacted %EWL. RESULT: 200 patients returned for 778 follow-up visits. Median age was 44 years (21-72) and median BMI 45 kg/m2 (31-76). 140 (80%) were women. Average %EWL was y % = 0.007 %/day (days since surgery) + 0.12% (correlation coef. 0.4823; P<0.001). %EWL at 1 year was 37%. The best-fit logistic regression model found 7 factors that significantly changed the odds of achieving average %EWL. Older patients, diabeticpatients and patients with COPD had greater odds of above average %EWL. Female patients, patients with larger BMIs, asthmatic patients and patients with hypertension had increased odds of below average %EWL. CONCLUSION: Specific patient characteristics and comorbid conditions significantly altered the odds of achieving satisfactory %EWL following gastric banding.
Authors: John Saunders; Garth H Ballantyne; Scott Belsley; Daniel J Stephens; Amit Trivedi; Douglas R Ewing; Vincent A Iannace; Rafael F Capella; Annette Wasileweski; Steven Moran; Hans J Schmidt Journal: Obes Surg Date: 2008-05-02 Impact factor: 4.129
Authors: Mohamed R Ali; David S Tichansky; Shanu N Kothari; Corrigan L McBride; Adolfo Z Fernandez; Harvey J Sugerman; John M Kellum; Luke G Wolfe; Eric J DeMaria Journal: Surg Endosc Date: 2009-06-11 Impact factor: 4.584
Authors: Ali Ardestani; Ardalan Tangestanipoor; Malcolm K Robinson; David B Lautz; Ashley H Vernon; Ali Tavakkoli Journal: Obes Surg Date: 2012-09 Impact factor: 4.129
Authors: Garth H Ballantyne; Scott Belsley; Daniel Stephens; John K Saunders; Amit Trivedi; Douglas R Ewing; Vincent Iannace; Daniel Davis; Rafael F Capella; Annette Wasielewski; S Moran; Hans J Schmidt Journal: Obes Surg Date: 2008-04-03 Impact factor: 4.129
Authors: John K Saunders; Garth H Ballantyne; Scott Belsley; Daniel Stephens; Amit Trivedi; Douglas R Ewing; Vincent Iannace; Rafael F Capella; Annette Wasielewski; S Moran; Hans J Schmidt Journal: Obes Surg Date: 2007-09 Impact factor: 4.129