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. 2016 Nov;14(11):1619-1628.
doi: 10.1016/j.cgh.2015.10.010. Epub 2015 Oct 20.

Nonalcoholic Steatohepatitis Is Associated With Increased Mortality in Obese Patients Undergoing Bariatric Surgery

Affiliations

Nonalcoholic Steatohepatitis Is Associated With Increased Mortality in Obese Patients Undergoing Bariatric Surgery

Nicolas Goossens et al. Clin Gastroenterol Hepatol. 2016 Nov.

Abstract

Background & aims: Bariatric surgery is associated with improved outcomes in subjects with severe obesity. We investigated the prognostic relevance of nonalcoholic steatohepatitis (NASH) and liver gene expression patterns in patients undergoing bariatric surgery.

Methods: We performed a retrospective analysis of 492 subjects who underwent gastric bypass bariatric surgery at a single center in Switzerland from January 1997 through December 2004; routine perioperative liver biopsies were collected, analyzed histologically, and RNA was isolated. We collected data on overall survival and clinical and biochemical parameters and compared these with data from propensity score-matched subjects participating in the third National Health and Nutrition Examination Survey (NHANES III). We used liver biopsies to identify bariatric surgery patients with NASH; NHANES III participants with NASH were identified based on a hyperechogenic liver at ultrasound and increased alanine transaminase levels. We analyzed a 32-gene signature associated with NAFLD severity in the liver tissues collected from 47 bariatric surgery patients with NASH, and assessed its prognostic features using nearest template prediction and survival analysis.

Results: At baseline, the median body mass index of patients who underwent bariatric surgery was 43.6 kg/m2; based on histologic findings, 12% had NASH and 16% had fibrosis. During a median follow-up of 10.2 years after the surgery, 4.2% of the subjects died. In multivariable Cox regression, the presence of NASH (hazard ratio [HR], 2.9; P = .02) and arterial hypertension (HR, 3.9; P = .02) were associated with overall mortality. When bariatric surgery patients were matched with NHANES III participants, bariatric surgery reduced the risk of death during the follow-up period (HR, 0.54; P = .04). However, bariatric surgery patients with NASH did not have a reduced risk of death compared with NHANES III participants with NASH (HR, 0.90; P = .85). We identified an expression pattern of 32 genes in liver tissues from patients with NASH that was associated with increased risk of death in multivariable analysis (HR, 7.7; P = .045).

Conclusions: Histologically proven NASH is associated with increased risk of death within a median follow-up of 10.2 years after bariatric surgery, compared with patients who undergo bariatric surgery without NASH. The survival benefit of bariatric surgery in subjects with NASH may be reduced. A 32-gene expression pattern identified patients with NASH who underwent bariatric surgery and had shorter survival times.

Keywords: Biomarker; Fatty Liver Disease; NHANES III; Postoperative Complication; Treatment.

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Conflict of interest statement

The authors disclose no conflicts

Figures

Figure 1
Figure 1
Flowchart of patient inclusion in the Geneva cohort (left) and matching with the NHANES III cohort (right). A subset of 47 patients with histologically documented NASH was assessed for a liver-based gene signature.
Figure 2
Figure 2
A–D, Survival of the Geneva bariatric surgery cohort stratified by NASH, fibrosis, NAS score and fibrosis score. E-F, Survival comparison of propensity-score matched Geneva and NHANES III cohorts (n=335 in each cohort). F, Survival comparison of NASH subjects in the propensity-score matched Geneva and NHANES III cohorts (n=41 in each cohort).
Figure 3
Figure 3
Gene expression signature prediction of overall survival in 47 NASH patients in the Geneva bariatric surgery cohort. A, 32-gene signature expression pattern, red and blue colors in the heatmap indicate high and low expression respectively. Each patient is represented as a column, individual genes are represented as rows. B, Survival of subjects based on their 32-gene prediction group. C, Gene regulatory network in NASH tissues. Each gene sub-module in the network is indicated by a different color and number. Enriched molecular pathways associated to 4 specific modules are highlighted. EGF, epidermal growth factor; mTOR, mechanistic target of rapamycin

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