为养老院老年人开发一个全面的营养不良预测模型
Yan Wu1, Wei Tan2, Wenlong Yi1
1Geriatric Hospital, Wuhan University of Science and Technology, Wuhan, 430081, China.
BMC geriatrics
|May 20, 2025
概括
中国养老院的营养不良风险很高 (46.37%). 使用养方法,牙状况,身体活动,巴特尔指数和贫血症的新预测模型可以识别有风险的老年人.
科学领域:
- 老年学是指老年学的学科.
- 公共卫生 公共卫生
- 营养科学 营养科学
背景情况:
- 营养不良是养老院中老年人的重要健康问题,特别是在中国这样的老龄化人口中.
- 早期识别和干预对于管理营养不良和改善这一人口群体的健康结果至关重要.
研究的目的:
- 开发和验证一种预测模型,用于识别中国老年养老院居民的营养不良风险.
- 创建一个用户友好的工具 (nomogram) 用于临床应用在营养不良风险分层.
主要方法:
- 分析了来自中国武汉26家养老院的1,023名老年居民 (≥65岁) 的队列.
- 数据被分为建模 (70%) 和内部验证 (30%) 集.
- LASSO和后勤回归确定了预测因素;使用AUC,校准曲线和决策曲线分析 (DCA) 构建和验证了一个名图.
主要成果:
- 营养不良的发生率为46.37%.
- 确定的主要预测因素是养方法,牙状况,身体不活动,巴特尔指数和贫血.
- 该模型显示出出色的预测性能 (AUC = 0.90) 和临床效用.
结论:
- 开发的诺摩图是分层分层养老院居民营养不良风险的可靠工具.
- 建议在不同人群和地区进行进一步的验证,以评估可通用性.
更多相关视频
相关概念视频
Nursing Diagnosis
2.6K
Following assessment, a nursing diagnosis is the next step in the nursing process. It begins after the nurse has collected and recorded the patient data. The purpose of diagnosing is to identify how the client responds to actual or potential health processes, identify factors that bestow or that cause health problems, the etiologies, and identify resources or strengths the individual, group, or community can draw on to prevent or resolve problems.
The nursing diagnosis focuses on evidence-based...
The nursing diagnosis focuses on evidence-based...
2.6K
Current Trends in Nursing I
1.4K
Current trends in nursing include:
1.4K
Documentation in Long-Term and Home Healthcare Setting
868
Documentation in long-term care facilities and home healthcare settings is crucial for ensuring continuous, coordinated, and comprehensive care for patients. Each setting has its specific documentation processes and tools:
Long-Term Care Facilities
Long-Term Care Facilities
868
Mechanistic Models: Compartment Models in Individual and Population Analysis
23
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
23


