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Assessment of Vascular Function in Patients With Chronic Kidney Disease
Published on: June 16, 2014
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在试验样本中初步验证一种修改后的查工具,用于早期检测慢性病
Lorna Kwai Ping Suen1, Margaret Wai Yan Wong1, Mark Cheuk Man Tsang2
1School of Nursing, Tung Wah College, Hong Kong SAR, China.
Healthcare (Basel, Switzerland)
|March 14, 2026
概括
一个修改后的查工具 (SCORED-M) 显示了早期慢性病 (CKD) 检测的提高准确性. 这种简洁的工具提高了CKD查性能,有助于及时诊断和干预.
科学领域:
- 腎臟病學 (nephrology) 是一種醫學.
- 公共卫生 公共卫生
- 医学诊断 医学诊断 医学诊断
背景情况:
- 早期发现慢性病 (CKD) 对疾病管理和预防并发症至关重要.
- 原来的"隐藏性脏病查" (SCORED) 工具被广泛使用,但在某些情况下可能会耗时且不太实用.
- 一个经过修改的版本,SCORED-M,是为了提高CKD查的实用性和预测性能而开发的.
研究的目的:
- 为了验证修改后的SCORED-M工具用于早期CKD检测的诊断性能.
- 为了评估SCORED-M与原始SCORED工具相比的准确性.
- 通过使用SCORED-M.确定用于大规模CKD查的最佳值得分.
主要方法:
- 对116名参与者进行了一项跨部门试点研究.
- 用接收器操作特征分析,灵敏度,特异性,正预测值和负预测值 (NPV) 来评估诊断性能.
- 根据统计学意义,赔率比率和临床相关性选择/排除项目;重新校准年龄评分和值.
主要成果:
- 具有六个项目的SCORED-M工具,与原来的九个项目的工具相比,显示出更高的选性能.
- SCORED-M实现了更高的曲线下面积 (0.89对0.79),灵敏度 (0.97),和NPV (0.97).
- 确定了≥4的最佳值得分,平衡了资源效率大规模查的灵敏度和特异性.
结论:
- SCORED-M工具为CKD查和诊断提供了一个更简洁,更准确的方法.
- 初步证据表明,SCORED-M在识别患有CKD的个人的能力有所提高.
- 建议在更大,更多样化的群体中进行进一步验证,以确认其通用性并完善其临床应用.
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