Literature DB >> 12527345

Selecting the optimal patient for LAP-BAND placement.

John B Dixon1, Paul E O'Brien.   

Abstract

Optimal patient selection for laparoscopic adjustable gastric banding with the LAP-BAND (INAMED Health, Santa Barbara, CA) enables maximization of results for patients most suited to the procedure and avoidance of unsatisfactory outcomes for inappropriate candidates. We have investigated potential predictors of outcomes in our patients to look for associations with weight loss. We have also reviewed published data for additional predictors. This analysis has revealed a number of conditions associated with a significantly lower percent excess weight loss (%EWL) than experienced in the overall group. These include increasing age, increasing body mass index (BMI), hyperinsulinemia, insulin resistance, type 2 diabetes, and polycystic ovary syndrome. There was also less weight loss if the SF-36 quality-of-life measure showed a poor physical activity score, high pain score, or poor general health score. However, in all these conditions, the effect was small in comparison with the benefits achieved by these patients, and was judged insufficient to preclude this approach to treatment of their obesity. A number of conditions were found to have no relation to weight loss after LAP-BAND placement. These included sex, presence of mental illness, most comorbidities except those linked to insulin resistance, previous bariatric surgery, and sweet-eating behavior. The value of psychologic assessment to predict outcomes could not be established. The superobese (BMI >50) achieved a lower %EWL at 1 year after LAP-BAND placement compared with those with BMI <50, but there were no differences at the 2-, 3-, and 4-year follow-ups.

Entities:  

Mesh:

Year:  2002        PMID: 12527345     DOI: 10.1016/s0002-9610(02)01174-1

Source DB:  PubMed          Journal:  Am J Surg        ISSN: 0002-9610            Impact factor:   2.565


  18 in total

1.  Predictors of short-term diabetes remission after laparoscopic Roux-en-Y gastric bypass.

Authors:  Gianluca Iacobellis; Chengyu Xu; Rafael E Campo; Nestor F De La Cruz-Munoz
Journal:  Obes Surg       Date:  2015-05       Impact factor: 4.129

2.  Letter to "Predictive Factors of Type 2 Diabetes Mellitus Remission Following Bariatric Surgery: a Meta-analysis".

Authors:  Yue-Lin Fang; Abdullah M Almulaifi; Wei-Jei Lee
Journal:  Obes Surg       Date:  2015-12       Impact factor: 4.129

Review 3.  Systematic review of obesity surgery mortality risk score--preoperative risk stratification in bariatric surgery.

Authors:  Harun Thomas; Sanjay Agrawal
Journal:  Obes Surg       Date:  2012-07       Impact factor: 4.129

4.  Outcomes of Roux-en-Y gastric bypass and laparoscopic adjustable gastric banding.

Authors:  Nam Q Nguyen; Philip Game; Justin Bessell; Tamara L Debreceni; Melissa Neo; Carly M Burgstad; Pennie Taylor; Gary A Wittert
Journal:  World J Gastroenterol       Date:  2013-09-28       Impact factor: 5.742

5.  Sweet eating: a definition and the development of the Dutch Sweet Eating Questionnaire.

Authors:  Margot van den Heuvel; Rogier Hörchner; Anneke Wijtsma; Noufissa Bourhim; Dascha Willemsen; Elisabeth M H Mathus-Vliegen
Journal:  Obes Surg       Date:  2010-03-05       Impact factor: 4.129

6.  Predictors of long-term diabetes remission after metabolic surgery.

Authors:  Ming Hsien Lee; Wei-Jei Lee; Keong Chong; Jung-Chien Chen; Kong-Han Ser; Yi-Chih Lee; Shu-Chun Chen
Journal:  J Gastrointest Surg       Date:  2015-04-04       Impact factor: 3.452

7.  Impact of lap-band size on weight loss: does gender matter?

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

8.  Do Male Patients Benefit from Laparoscopic Adjustable Gastric Banding More than Female Patients? A Retrospective Cohort Study.

Authors:  Maor Lewis; Uri Netz; Solly Mizrahi; Eliezer Avinoah; Doron Gal; Zvi H Perry
Journal:  Obes Surg       Date:  2018-03       Impact factor: 4.129

9.  Obesity treatment in elderly outpatients: predictors of efficacy and drop-out.

Authors:  L Busetto; M Mazza; S Salvalaio; F De Stefano; M Marangon; E Calò; S Sampietro; G Enzi
Journal:  Eat Weight Disord       Date:  2009 Jun-Sep       Impact factor: 4.652

10.  Post-surgery adherence to scheduled visits and compliance, more than personality disorders, predict outcome of bariatric restrictive surgery in morbidly obese patients.

Authors:  Antonio E Pontiroli; Andrea Fossati; Paola Vedani; Monica Fiorilli; Franco Folli; Michele Paganelli; Monica Marchi; Cesare Maffei
Journal:  Obes Surg       Date:  2007-11       Impact factor: 4.129

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