Leibovitz Eyal, Ben-David Nadav, Shibanov Lea, Elias Sorin, Shimonov Mordechai
Department of Internal Medicine "A", Yoseftal Hospital, Eilat, Israel.
Department of Surgery "A", Wolfson Medical Center, Holon, Israel.
J Surg Res. 2018 May;225:15-20. doi: 10.1016/j.jss.2017.11.053. Epub 2018 Jan 12.
The aim of this study to study the effect of visceral and subcutaneous fat tissue mass on short- and long-term prognosis of patients with acute calculus cholecystitis (ACC).
Retrospective analysis of medical records. Included were all patients admitted because of ACC. Computed tomography images at the level of L3 were analyzed for body composition using designated software (Slice-O-matic; TomoVision, Montreal, Quebec, Canada). General linear model was used to analyze the effect of body composition on length of hospital stay, and Cox regression analysis was used to ascertain the effect of the different parameters on 1-y survival.
Included were 159 patients (mean age: 71.7 ± 15.8 y, 54.7% males). Fat was the most abundant tissue (401 ± 175 cm of the computed tomography slices surface area), and visceral fat was 45.8 ± 14.1% of the fat area measured. Using the general linear model, we found that American Society of Anesthesiologists score, disease severity index, and age were positively associated with higher length of stay, whereas high visceral fat was associated with lower length of stay (estimated marginal means at 7.4 ± 1.4 d compared to 12.7 ± 1.4 d among patients with lower visceral fat surface area, P = 0.010). The Cox regression model showed that 1-y survival risk was significantly reduced by age, the Charlson Comorbidity Index and high muscle mass. High visceral adiposity was associated with improved survival (odds ratio: 0.216, 95% confidence interval: 0.064-0.724, P = 0.013). Subcutaneous adiposity did not affect prognosis.
Visceral adiposity is associated with shorter length of stay and improved 1-y survival among patients hospitalized with ACC.
本研究旨在探讨内脏脂肪组织和皮下脂肪组织量对急性结石性胆囊炎(ACC)患者短期和长期预后的影响。
对病历进行回顾性分析。纳入所有因ACC入院的患者。使用指定软件(Slice-O-matic;TomoVision,加拿大魁北克省蒙特利尔)分析L3水平的计算机断层扫描图像以获取身体成分信息。采用一般线性模型分析身体成分对住院时间的影响,并采用Cox回归分析确定不同参数对1年生存率的影响。
共纳入159例患者(平均年龄:71.7±15.8岁,男性占54.7%)。脂肪是最丰富的组织(计算机断层扫描切片表面积为401±175平方厘米),所测脂肪区域中内脏脂肪占45.8±14.1%。使用一般线性模型,我们发现美国麻醉医师协会评分、疾病严重程度指数和年龄与住院时间延长呈正相关,而高内脏脂肪与住院时间缩短相关(内脏脂肪表面积较低的患者估计边际均值为7.4±1.4天,而内脏脂肪表面积较高的患者为12.7±1.4天,P = 0.010)。Cox回归模型显示,年龄、Charlson合并症指数和高肌肉量可显著降低1年生存风险。高内脏脂肪与生存率提高相关(比值比:0.216,95%置信区间:0.064 - 0.724,P = 0.013)。皮下脂肪不影响预后。
内脏肥胖与ACC住院患者住院时间缩短及1年生存率提高相关。