LBPO.PS01 · 人群科学 · Late-Breaking
在多中心队列研究中,减重手术术式不同导致术后早期肝脏结局存在差异
Early postoperative liver outcomes differ by bariatric surgery procedure in multi-site cohort study
作者与单位 Authors & Affiliations
摘要 Abstract
中文摘要
背景:肥胖和代谢功能障碍是肝癌及其他恶性肿瘤的确定风险因素。它们可能加速肝病进展至肝硬化和肝衰竭等晚期阶段。减重手术能大幅减轻体重,但关于减重手术与肝癌及其他晚期疾病之间关联的数据尚不充分。Roux-en-Y胃旁路术(RYGB)和袖状胃切除术(SG)是两种主要的减重手术类型,对减重的影响各不相同。我们评估了这两种减重术式在发生肝癌及其他晚期疾病风险方面是否存在差异。
方法:在一项针对肥胖成人的队列研究中,纳入2009至2022年间在美国8家医院接受RYGB或SG的患者,从手术开始随访至首次肝脏相关事件、死亡或与医疗系统的最后一次接触。主要结局为至首次肝脏相关事件的时间,该事件定义为肝癌、失代偿性肝硬化、肝移植或肝衰竭的复合结局。此外还探讨了各单项肝脏终点的风险关联。采用Cox模型估计风险比(HR)及95%置信区间(CI),并对基线时的年龄、性别、合并症评分、BMI、种族、吸烟、血脂异常、高血压、2型糖尿病以及肥胖和糖尿病用药进行了校正。总体Cox模型不满足假设条件。我们以3年为切点分别进行了前后两段分析。
结果:该队列纳入29,573例患者(RYGB 14,256例;SG 15,317例),平均随访7.7年,RYGB共59,121人年,SG共49,211人年。基线时,RYGB组的平均(SD)年龄和BMI分别为43.4(11.5)岁和46.7(7.4)。SG组对应数值分别为42.1(11.8)岁和46.2(7.7)。复合结局在RYGB组中确认了30例,SG组中14例。复合肝脏结局的发病率(每100,000人年)在RYGB组为51,SG组为29。总体而言,两组发病率的差异无统计学意义。在按减重手术后时间段(<3年和3年及以上)进行的分析中,RYGB患者在<3年期间发生复合肝脏结局的校正HR为16.1(95% CI 5.33-48.9),与SG患者相比升高。在3年及以上期间未发现显著关联。
结论:在这项大型真实世界队列中,RYGB与手术后前3年内更高的肝脏相关结局风险相关(相比SG)。肝脏结局的早期分化可能反映了减重术式在短期代谢或炎症效应上的差异,这与肝病进展和肝癌发生具有生物学相关性。这凸显了术后早期监测的临床意义。我们的发现支持需要开展更多长期结局分析。
查看英文原文 English abstract
Background : Obesity and metabolic dysfunction are established risk factors for liver cancer and other malignancies. They may enhance the progression of liver disease to advanced stages such as liver cirrhosis and liver failure. Bariatric surgery greatly reduces body weight, but data on the association between bariatric surgery and liver cancer and other advanced stage diseases are sparse. Roux-en-Y gastric bypass (RYGB) and sleeve gastrectomy (SG) are two major types of bariatric surgery that have different impacts on weight loss. We evaluated if there was any difference between the two bariatric surgical procedures in risk of developing liver cancer and other advanced stage diseases.
Methods : In a cohort study of adults with obesity who underwent RYGB or SG between 2009-2022 from 8 U.S. hospital sites, patients were followed from surgery to first liver-related event, death, or last contact with the healthcare system. The primary outcome was time to first liver-related event defined as liver cancer, decompensated cirrhosis, liver transplant, or liver failure as a composite outcome. Risk associations for individual liver endpoints were also explored. Cox models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) with adjustment for age, sex, comorbidity score, BMI, race, smoking, dyslipidemia, hypertension, type 2 diabetes, and medications for obesity and diabetes at baseline. The overall Cox model did not hold for assumptions. We conducted two separate analyses before and after the cutoff point of 3 years.
Results : The cohort included 29,573 patients (14,256 RYGB; 15,317 SG) with average follow-up of 7.7 years and total 59,121 person-years for RYGB and 49,211 for SG. At baseline, the mean (SD) age and BMI were 43.4 (11.5) years and 46.7 (7.4) for RYGB, respectively. The corresponding figures for SG were 42.1 (11.8) years and 46.2 (7.7). The composite outcome was identified for 30 individuals in RYGB and 14 in SG. The incidence rates (per 100,000 person-years) of the composite liver outcomes were 51 in RYGB and 29 in SG. Overall, the difference between the two rates was statistically not significant. In analysis by time interval after bariatric surgery (<3 and 3+ years), patients with RYGB had an adjusted HR of 16.1 (95% CI 5.33-48.9) of composite liver outcomes compared with those with SG during <3 years. There was no significant association during 3+ years.
Conclusion : In this large real-world cohort, RYGB was associated with a higher risk of liver-related outcomes compared to SG during the first 3-years after surgery. The early divergence in liver outcomes may reflect different short-term metabolic or inflammatory effects of bariatric procedures, which are biologically relevant to liver disease progression and hepatocarcinogenesis. This emphasizes the clinical relevance of early post-operative monitoring. Our findings support the need for additional long-term analysis of outcomes.
利益披露 Disclosure
S. Karnam, None.
J. Behari,
Gilead ).
Pfizer ).
AstraZeneca ).
Endra Life Sciences ).
Intercept ).
Galectin ).
Exact Sciences ).
Inventiva ).
Enanta ).
Shire ).
Allergan ).
Celgene ).
Galmed ).
Rhythm ).
Genentech ).
K. Demanelis, None..
R. Wang, None..
J. Yuan, None.