胃癌胃切除术后长期体重恢复的预测模型:对网络计算器的介绍
Chul-Hyo Jeon1, Ki Bum Park2, Sojung Kim3
1Department of Surgery, Division of Gastrointestinal Surgery, Uijeongbu St. Mary's Hospital, College of Medicine, The Catholic University of Korea, 271, Cheonbo-ro, Uijeongbu-si, Gyeonggi-do, 11765, Republic of Korea.
BMC cancer
|June 23, 2023
概括
在胃癌手术后预测体重变化对于患者的结果至关重要. 一个新的在线工具使用患者数据来预测体重恢复,帮助识别需要额外支持的人.
科学领域:
- 在瘤学瘤学.
- 外科胃肠道外科手术
- 医疗信息学 医疗信息学
背景情况:
- 胃切除术后的体重变化显著影响胃癌患者的生活质量,预后和生存率.
- 在胃切除术后准确预测个体体重变化仍然是一个临床挑战.
- 临床病理学变量为开发预测模型提供了潜力.
研究的目的:
- 开发一种易于使用的工具,用于预测胃癌患者手术后体重变化.
- 确定影响治愈性胃切除术后体重恢复的关键因素.
- 为管理这些患者的临床医生提供实用资源.
主要方法:
- 从984名接受治疗性胃切除术 (2009-2013) 的患者的临床数据的回顾性分析.
- 多变量逻辑回归用于确定术后体重变化的预测变量.
- 使用引导重新抽样开发和验证一个名ogram.
主要成果:
- 年龄,性别,表现状况,BMI,切除程度和病理阶段是重量恢复的重要预测因素.
- 手术后的血红蛋白,白蛋白,费里丁和总铁结合能力水平是显著的共变量.
- 经过适当校准,开发的名图表显示出良好的预测性能 (一致性指数 = 0.637).
结论:
- 一个新的,基于Web的计算器是基于预测名ogram创建的.
- 这种工具可以快速探索胃切除术后患者的体重模式.
- 该模型识别了高风险患者的显著体重减轻,需要多学科医疗干预.
相关概念视频
Gastric Emptying
969
Gastric emptying occurs when the stomach gradually releases chyme into the duodenum. When the stomach is distended, it triggers the release of gastrin, a hormone that promotes gastric acid secretion to aid in digestion. Additionally, stomach distension contributes to peristaltic waves that propel gastric contents toward the pyloric region. The gastroenteric reflex, on the other hand, primarily stimulates peristalsis in the intestines, facilitating the movement of contents further along the...
969
Assessment of the Gastrointestinal System II: Health Perception Pattern
145
Assessing the gastrointestinal (GI) system is a complex process that begins with collecting subjective data. This data, collected through patient interviews, provides crucial insights into the patient's health history, perception patterns, and lifestyle habits, all contributing significantly to GI health.
Health Perception Patterns
Health perception patterns offer valuable insights into a patient's lifestyle habits and how they may impact their GI health. These patterns include:
Health Perception Patterns
Health perception patterns offer valuable insights into a patient's lifestyle habits and how they may impact their GI health. These patterns include:
145
Cancer Survival Analysis
402
Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
402


