Literature DB >> 24120981

Algorithm for weight loss after gastric bypass surgery considering body mass index, gender, and age from the Bariatric Outcome Longitudinal Database (BOLD).

Arnold W J M van de Laar1.   

Abstract

BACKGROUND: Insight into the effects of gender and age on bariatric weight loss can be disturbed by the well-known influence of initial body mass index (BMI) on excess weight loss (%EWL). Alternative metrics can be found that eliminate this influence. Their formulas can be used to construct an algorithm in which mean weight loss becomes a constant value, describing the effectiveness of the operation independent of the initial BMI. The objective of this study was to create an algorithm describing weight loss after LRYGB in search for a better outcome metric to demonstrate unequivocally the influence of patient characteristics on bariatric results.
METHODS: Nadir weight loss results of BOLD patients, grouped by gender and age (<40 yr and ≥40 yr), with ≥2 years follow-up after LRYGB and initial BMI ≥30 and<80 kg/m(2), are expressed in 26 different metrics with formula: 100%×(initial BMI - nadir BMI)/(initial BMI - a) with "reference BMI" a = 0-25 kg/m(2). For each subgroup, the "optimal reference BMI" (a) generating the smallest deviation and without significant difference in outcome between lighter and heavier patients is used to construct an algorithm (Mann-Whitney U test; P<.0002). Mean nadir relative weight loss results (b) are compared.
RESULTS: A total of 8945 patients met inclusion criteria (mean initial BMI, 47.7 kg/m(2); median age, 48 yr; 20.0% male). Both female subgroups had optimal reference BMI: a = 10 kg/m(2); both male subgroups: a = 17 kg/m(2). LRYGB effectiveness (b) was significantly higher for younger patients and for female patients. The %EWL metric rendered different significances.
CONCLUSIONS: Both genders have age-independent metrics for which nadir relative weight loss after LRYGB is not influenced by initial BMI. The resulting algorithm nadir BMI = a + (100%-b) × (initial BMI-a) consists of an inert part (a = 10-17 kg/m(2)) on which the bariatric effectiveness (b) does not act and an alterable part (initial BMI-a) on which it does. The proposed metric percentage alterable weight loss (%AWL) reduces results to constant values for bariatric effectiveness (b), facilitating research on the precise effect of patient characteristics and surgical variables on postoperative weight loss better than %EWL, a metric able to produce false conclusions. Women and younger patients had significantly more weight loss; initial BMI had no effect.
Copyright © 2014 American Society for Bariatric Surgery. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  AWL; Age; Algorithm; BMI; BOLD; Bariatric surgery; EWL; Gastric bypass; Gender; Outcome metrics; Weight loss

Mesh:

Year:  2013        PMID: 24120981     DOI: 10.1016/j.soard.2013.05.008

Source DB:  PubMed          Journal:  Surg Obes Relat Dis        ISSN: 1550-7289            Impact factor:   4.734


  16 in total

1.  Comparability of weight loss reporting after gastric bypass and sleeve gastrectomy using BOLD data 2008-2011.

Authors:  John P Sczepaniak; Milton L Owens; Heena Shukla; John Perlegos; William Garner
Journal:  Obes Surg       Date:  2015-05       Impact factor: 4.129

2.  Reply to the Letter to Editor Entitled "The %EBMIL/%EWL Double-Booby Trap. A Comment on Studies that Compare the Effect of Bariatric Surgery Between Heavier and Lighter Patients".

Authors:  Ji Yeon Park; Yong Jin Kim
Journal:  Obes Surg       Date:  2016-03       Impact factor: 4.129

3.  The %EBMIL/%EWL Double Booby-Trap. A Comment on Studies that Compare the Effect of Bariatric Surgery Between Heavier and Lighter Patients.

Authors:  A W van de Laar
Journal:  Obes Surg       Date:  2016-03       Impact factor: 4.129

4.  Validating the alterable weight loss (AWL) metric with 2-year weight loss outcome of 500 patients after gastric bypass.

Authors:  A W van de Laar; M H Dollé; L M de Brauw; S C Bruin; Y I Acherman
Journal:  Obes Surg       Date:  2014-07       Impact factor: 4.129

5.  Gender Influence on Long-Term Weight Loss and Comorbidities After Laparoscopic Sleeve Gastrectomy and Roux-en-Y Gastric Bypass: a Prospective Study With a 5-Year Follow-up.

Authors:  Federico Perrone; Emanuela Bianciardi; Domenico Benavoli; Valeria Tognoni; Cinzia Niolu; Alberto Siracusano; Achille L Gaspari; Paolo Gentileschi
Journal:  Obes Surg       Date:  2016-02       Impact factor: 4.129

6.  Laparoscopic gastric bypass vs. sleeve gastrectomy in the super obese patient: early outcomes of an observational study.

Authors:  Carlos Zerrweck; Elisa M Sepúlveda; Hernán G Maydón; Francisco Campos; Antonio G Spaventa; Verónica Pratti; Itzel Fernández
Journal:  Obes Surg       Date:  2014-05       Impact factor: 4.129

7.  Which baseline weight should be preferred as reference for weight loss results? Insights in bariatric weight loss mechanisms by comparing primary and revision gastric bypass patients.

Authors:  Arnold W van de Laar; Marije H Dollé; L Maurits de Brauw; Sjoerd C Bruin; Yair I Acherman
Journal:  Obes Surg       Date:  2015-04       Impact factor: 4.129

8.  Validation of the Alterable Weight Loss Metric in Morbidly Obese Patients Undergoing Gastric Bypass in Korea.

Authors:  Ji Yeon Park; Yong Jin Kim
Journal:  Obes Surg       Date:  2018-06       Impact factor: 4.129

9.  Weight-Independent Percentile Chart of 2880 Gastric Bypass Patients: a New Look at Bariatric Weight Loss Results.

Authors:  Arnold W van de Laar; Maurits de Brauw; Sjoerd C Bruin; Yair I Acherman
Journal:  Obes Surg       Date:  2016-12       Impact factor: 4.129

10.  Weight loss percentile charts of large representative series: a benchmark defining sufficient weight loss challenging current criteria for success of bariatric surgery.

Authors:  Arnold W J M van de Laar; Yair I Z Acherman
Journal:  Obes Surg       Date:  2014-05       Impact factor: 4.129

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