Effect of Sarcobesity Index and Body Adipose Tissue Variables on Cardiopulmonary Exercise Testing Performance in Colorectal Surgery Setting: A Retrospective Cohort Study.

IF 1 4区 医学 Q3 MEDICINE, GENERAL & INTERNAL British journal of hospital medicine Pub Date : 2024-10-30 Epub Date: 2024-10-17 DOI:10.12968/hmed.2024.0373
Emma Kirby, Winnie Tam, Iain Gilham, Adetona Obaloluwa Babs-Osibodu, William Jones, Shahin Hajibandeh, Shahab Hajibandeh, George A Rose, Damian M Bailey, Christopher Morris, Rachel Hargest, Amy Clayton, Richard G Davies
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Abstract

Aims/Background The prognostic significance of body composition variables has become a popular area of research over the recent years. This study aimed to determine whether adipose tissue variables and sarcobesity index measured by computed tomography (CT) could predict cardiopulmonary exercise testing (CPET) performance and long-term mortality in patients undergoing major colorectal surgery. Methods The Strengthening the Reporting of Cohort Studies in Surgery (STROCSS) statement standards were followed to conduct a retrospective cohort study of consecutive patients who had CPET prior to major colorectal surgery between January 2011 and January 2017. Receiver Operating Characteristic curve analysis was conducted to assess the discriminative performances of adipose tissue variables. The association between CT-derived adipose tissue variables (sarcobesity index, visceral adipose tissue, subcutaneous adipose tissue, and total adipose tissue) and CPET performance and mortality were assessed using regression analyses. Results 457 patients were included. Total adipose tissue evaluated via 2-dimensional (2D) and 3-dimensional (3D) approaches predicted oxygen uptake (O2) Rest, O2 anaerobic threshold (AT), ventilatory equivalents for carbon dioxide (E/CO2) AT, ventilatory equivalents for oxygen (E/O2) AT, O2 peak, exercise time, maximum work, peak metabolic equivalents (METS), peak respiratory rate (RER), and peak oxygen pulse. Sarcobesity index (2D and 3D) predicted O2 Rest, O2 AT, E/CO2 AT, O2 peak, maximum work, peak METS, maximum heart rate, and peak RER. Neither total adipose tissue nor sarcobesity index (2D and 3D) predicted 1-year, 3-year, or 5-year mortality. There was no difference in the discriminative performance of adipose tissue variables in predicting mortality. Conclusion The CPET performance may be predicted by radiologically measured adipose tissue variables and sarcobesity index. However, the prognostic value of the variables may not be significant in this setting.

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结直肠手术患者肥胖指数和身体脂肪组织变量对心肺运动测试成绩的影响:一项回顾性队列研究
目的/背景 近年来,身体成分变量的预后意义已成为一个热门研究领域。本研究旨在确定通过计算机断层扫描(CT)测量的脂肪组织变量和肌肉肥胖指数能否预测接受大肠直肠手术患者的心肺运动测试(CPET)表现和长期死亡率。方法 按照《加强外科队列研究报告》(STROCSS)声明标准,对 2011 年 1 月至 2017 年 1 月间接受大肠直肠手术前进行 CPET 的连续患者进行回顾性队列研究。为评估脂肪组织变量的鉴别性能,进行了接收者操作特征曲线分析。使用回归分析评估了 CT 衍生的脂肪组织变量(肌肥胖指数、内脏脂肪组织、皮下脂肪组织和总脂肪组织)与 CPET 性能和死亡率之间的关联。结果 共纳入 457 名患者。通过二维(2D)和三维(3D)方法评估的总脂肪组织可预测摄氧量(VÌO2)Rest、VÌO2无氧阈值(AT)、二氧化碳通气当量(VÌE/VÌCO2)AT、氧的通气当量(V.J.E/V.J.O2)AT、V.J.O2 峰值、运动时间、最大功、代谢当量峰值(METS)、呼吸频率峰值(RER)和氧脉搏峰值。肥胖指数(二维和三维)可预测静止时的掺氧量、掺氧量 AT、掺氧量 AT、掺氧量峰值、最大做功、METS 峰值、最大心率和 RER 峰值。总脂肪组织和肌肉肥胖指数(2D和3D)均不能预测1年、3年或5年的死亡率。脂肪组织变量在预测死亡率方面的鉴别性能没有差异。结论 CPET 性能可通过放射学测量的脂肪组织变量和肌肉肥胖指数进行预测。但是,在这种情况下,这些变量的预后价值可能并不显著。
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来源期刊
British journal of hospital medicine
British journal of hospital medicine 医学-医学:内科
CiteScore
1.50
自引率
0.00%
发文量
176
审稿时长
4-8 weeks
期刊介绍: British Journal of Hospital Medicine was established in 1966, and is still true to its origins: a monthly, peer-reviewed, multidisciplinary review journal for hospital doctors and doctors in training. The journal publishes an authoritative mix of clinical reviews, education and training updates, quality improvement projects and case reports, and book reviews from recognized leaders in the profession. The Core Training for Doctors section provides clinical information in an easily accessible format for doctors in training. British Journal of Hospital Medicine is an invaluable resource for hospital doctors at all stages of their career. The journal is indexed on Medline, CINAHL, the Sociedad Iberoamericana de Información Científica and Scopus.
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