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Baseline Presence of NAFLD Predicts Weight Loss after Gastric Bypass Surgery for Morbid Obesity

Authors: Karl P. Rheinwalt; Uta Drebber; Robert Schierwagen; Sabine D. Klein; Ulf P. Neumann; Tom Florian Ulmer; Andreas Plamper; +7 Authors

Baseline Presence of NAFLD Predicts Weight Loss after Gastric Bypass Surgery for Morbid Obesity

Abstract

weight loss. Data about the influence of Non-alcoholic fatty liver disease (NAFLD) on early postoperative weight loss are scarce. Methods. This prospective, single-center cohort study included 143 patients receiving laparoscopic gastric bypass surgery (One Anastomosis-Mini Gastric Bypass (OAGB-MGB) or Roux-en-Y Gastric Bypass (RYGB)). Liver biopsies were acquired at surgery. NAFLD activity score (NAS) assigned patients to &ldquo

. Follow up data were collected at 3, 6 and 12 months. Results. In total, 49.7% of patients had NASH, while 41.3% had NAFL. Compared with the No NAFLD group, NAFL and NASH showed higher body-mass-index (BMI) at follow-up (6 months: 31.0 kg/m2 vs. 36.8 kg/m2 and 36.1 kg/m2, 12 months: 27.0 kg/m2 vs. 34.4 and 32.8 kg/m2) and lower percentage of total body weight loss (%TBWL): (6 months: 27.1% vs. 23.3% and 24.4%

12 months: 38.5% vs. 30.1 and 32.6%). Linear regression of NAS points significantly predicts percentage of excessive weight loss (%EWL) after 6 months (Cologne-weight-loss-prediction-score). Conclusions. Histopathological presence of NAFLD might lead to inferior postoperative weight reduction after gastric bypass surgery. The mechanisms underlying this observation should be further studied.

Background. Bariatric surgery is a widely used treatment for morbid obesity. Prediction of postoperative weight loss currently relies on prediction models, which mostly overestimate patients&rsquo

No NAFLD&rdquo

NAFL&rdquo

NASH&rdquo

or &ldquo

, &ldquo

Countries
Germany, Germany, Netherlands
Subjects by Vocabulary

Microsoft Academic Graph classification: medicine.medical_specialty Gastric bypass medicine.disease_cause Gastroenterology Morbid obesity Weight loss Internal medicine medicine Gastric bypass surgery business.industry Fatty liver Total body medicine.disease medicine.symptom business Excessive weight loss Cohort study

Library of Congress Subject Headings: lcsh:Medicine lcsh:R

Dewey Decimal Classification: ddc:610

Keywords

SCORING SYSTEM, Roux-en-Y gastric bypass, VALIDATION, Article, NAFLD, one anastomosis gastric bypass, SIMPLE NONINVASIVE INDEX, BARIATRIC SURGERY, SIGNIFICANT FIBROSIS, SLEEVE GASTRECTOMY, R, NASH, General Medicine, Medicine, weight loss, mini gastric bypass

2017, 19, 25. [CrossRef] [PubMed] 24. Caiazzo, R.; Lassailly, G.; Leteurtre, E.; Baud, G.; Verkindt, H.; Raverdy, V.; Buob, D.; Pigeyre, M.; Mathurin, P.; Pattou, F. Roux-En-Y Gastric Bypass versus Adjustable Gastric Banding to Reduce Nonalcoholic Fatty Liver Disease: A 5-Year Controlled Longitudinal Study. Ann. Surg. 2014, 260, 893-898, discussion 898-899.

[CrossRef] [PubMed] 25. Gras-Miralles, B.; Haya, J.R.; Moros, J.M.R.; Goday Arnó, A.; Torra Alsina, S.; Ilzarbe Sánchez, L.; Muñoz Galitó, J.; Ibáñez Zafón, I.-A.; Alonso Romera, M.C.; Parri Bonet, A.; et al. Caloric Intake Capacity as Measured by a Standard Nutrient Drink Test Helps to Predict Weight Loss after Bariatric Surgery. Obes. Surg.

2014, 24, 2138-2144. [CrossRef] 26. Vassilev, G.; Hasenberg, T.; Krammer, J.; Kienle, P.; Ronellenfitsch, U.; Otto, M. The Phase Angle of the Bioelectrical Impedance Analysis as Predictor of Post-Bariatric Weight Loss Outcome. Obes. Surg. 2017, 27, 665-669. [CrossRef] 27. Jain, D.; Sill, A.; Averbach, A. Do Patients with Higher Baseline BMI Have Improved Weight Loss with Roux-En-Y Gastric Bypass versus Sleeve Gastrectomy? Surg. Obes. Relat. Dis. 2018, 14, 1304-1309. [CrossRef] 28. European Association for the Study of the Liver (EASL); European Association for the Study of Diabetes (EASD); European Association for the Study of Obesity (EASO). EASL-EASD-EASO Clinical Practice Guidelines for the Management of Non-Alcoholic Fatty Liver Disease. J. Hepatol. 2016, 64, 1388-1402.

[CrossRef] 29. Katsareli, E.A.; Amerikanou, C.; Rouskas, K.; Dimopoulos, A.; Diamantis, T.; Alexandrou, A.; Griniatsos, J.; Bourgeois, S.; Dermitzakis, E.; Ragoussis, J.; et al. A Genetic Risk Score for the Estimation of Weight Loss after Bariatric Surgery. Obes. Surg. 2020, 30, 1482-1490. [CrossRef] 30. Steinert, R.E.; Feinle-Bisset, C.; Asarian, L.; Horowitz, M.; Beglinger, C.; Geary, N. Ghrelin, CCK, GLP-1, and PYY(3-36): Secretory Controls and Physiological Roles in Eating and Glycemia in Health, Obesity, and After RYGB. Physiol. Rev. 2017, 97, 411-463. [CrossRef] 31. Svane, M.S.; Bojsen-Møller, K.N.; Madsbad, S.; Holst, J.J. Updates in Weight Loss Surgery and Gastrointestinal Peptides. Curr. Opin. Endocrinol. Diabetes Obes. 2015, 22, 21-28. [CrossRef] 32. Alizai, P.H.; Wendl, J.; Roeth, A.A.; Klink, C.D.; Luedde, T.; Steinho , I.; Neumann, U.P.; Schmeding, M.; Ulmer, F. Functional Liver Recovery After Bariatric Surgery-a Prospective Cohort Study with the LiMAx Test. Obes. Surg. 2015, 25, 2047-2053. [CrossRef] [PubMed] 33. Alizai, P.H.; Lurje, I.; Kroh, A.; Schmitz, S.; Luedde, T.; Andruszkow, J.; Neumann, U.P.; Ulmer, F. Noninvasive Evaluation of Liver Function in Morbidly Obese Patients. Gastroenterol. Res. Pract. 2019, 2019, 4307462.

[CrossRef] 34. Murphy, R.; Tsai, P.; Jüllig, M.; Liu, A.; Plank, L.; Booth, M. Di erential Changes in Gut Microbiota after Gastric Bypass and Sleeve Gastrectomy Bariatric Surgery Vary According to Diabetes Remission. Obes. Surg.

2017, 27, 917-925. [CrossRef] [PubMed]

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
13
Top 10%
Average
Top 10%
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gold