Can serious postoperative complications in patients with Crohn’s disease be predicted using machine learning?  

作　　者：Andrew Paul Zbar 

机构地区：[1]Department of Neuroscience and Anatomy,University of Melbourne,Melbourne 3010,Victoria,Australia

出　　处：《World Journal of Gastrointestinal Surgery》2024年第10期3358-3362,共5页世界胃肠外科杂志（英文）

摘　　要：The routine introduction of novel anti-inflammatory therapies into the mana-gement algorithms of patients with Crohn’s disease over the last 2 decades has not substantially changed the likelihood of ultimate surgery.Rather it has delayed the operative need and altered the presentation phenotype.The prospect of complic-ations continues to remain high in this modern era but depending upon the cohort assessed,it remains difficult to make strict comparisons between individual spe-cialist centres.Those patients who present rather late after their diagnosis with a septic complication like an intra-abdominal abscess and a penetrating/fistulizing pattern of disease are more likely to have a complicated course particularly if they have clinical features such as difficult percutaneous access to the collection or multilocularity both of which can make preoperative drainage unsuccessful.Eq-ually,those cases with extensive adhesions where an initial laparoscopic approach needs open conversion and where there is an extended operative time,unsur-prisingly will suffer more significant complications that impact their length of hospital stay.The need for a protective stoma also introduces its own derivative costs,utilizing a range of health resources as well as resulting in important alte-rations in quality of life outcomes.Having established the parameters of the pro-blem can the statistical analysis of the available data identify high-risk cases,promote the notion of centralization of specialist services or improve the allo-cation of disease-specific health expenditure?

关 键 词：Crohn’s disease Postoperative complications Clavien-Dindo Machine learning OUTCOME 

分 类 号：R574.62[医药卫生—消化系统] TP181[医药卫生—内科学]