Department of Digestive Diseases, Huashan Hospital, Fudan University, Shanghai 200040, China.
Department of Radiology, Huashan Hospital, Fudan University, Shanghai 200040, China.
Int J Environ Res Public Health. 2022 Dec 30;20(1):656. doi: 10.3390/ijerph20010656.
Sarcopenia is associated with increased morbidity and mortality in Crohn's disease. The present study is aimed at investigating the different diagnostic performance of different machine learning models in identifying sarcopenia in Crohn's disease. Patients diagnosed with Crohn's disease at our center provided clinical, anthropometric, and radiological data. The cross-sectional CT slice at L3 was used for segmentation and the calculation of body composition. The prevalence of sarcopenia was calculated, and the clinical parameters were compared. A total of 167 patients were included in the present study, of which 127 (76.0%) were male and 40 (24.0%) were female, with an average age of 36.1 ± 14.3 years old. Based on the previously defined cut-off value of sarcopenia, 118 (70.7%) patients had sarcopenia. Seven machine learning models were trained with the randomly allocated training cohort (80%) then evaluated on the validation cohort (20%). A comprehensive comparison showed that LightGBM was the most ideal diagnostic model, with an AUC of 0.933, AUCPR of 0.970, sensitivity of 72.7%, and specificity of 87.0%. The LightGBM model may facilitate a population management strategy with early identification of sarcopenia in Crohn's disease, while providing guidance for nutritional support and an alternative surveillance modality for long-term patient follow-up.
肌少症与克罗恩病的发病率和死亡率增加有关。本研究旨在探讨不同机器学习模型在识别克罗恩病肌少症方面的不同诊断性能。在我们中心诊断为克罗恩病的患者提供了临床、人体测量和影像学数据。使用 L3 处的横断面 CT 切片进行分割和身体成分计算。计算肌少症的患病率，并比较临床参数。本研究共纳入 167 例患者，其中 127 例（76.0%）为男性，40 例（24.0%）为女性，平均年龄为 36.1 ± 14.3 岁。根据先前定义的肌少症截断值，118 例（70.7%）患者存在肌少症。使用随机分配的训练队列（80%）训练了 7 种机器学习模型，然后在验证队列（20%）上进行评估。综合比较表明，LightGBM 是最理想的诊断模型，AUC 为 0.933、AUCPR 为 0.970、敏感性为 72.7%、特异性为 87.0%。LightGBM 模型可以帮助制定一种人群管理策略，早期识别克罗恩病中的肌少症，同时为营养支持提供指导，并为长期患者随访提供替代监测方式。
