School of Nursing, Caritas Medical Centre, Hong Kong.
Evid Based Complement Alternat Med. 2012;2012:685094. doi: 10.1155/2012/685094. Epub 2011 Sep 13.
In view of lacking a quantifiable traditional Chinese medicine (TCM) pulse diagnostic model, a novel TCM pulse diagnostic model was introduced to quantify the pulse diagnosis. Content validation was performed with a panel of TCM doctors. Criterion validation was tested with essential hypertension. The gold standard was brachial blood pressure measured by a sphygmomanometer. Two hundred and sixty subjects were recruited (139 in the normotensive group and 121 in the hypertensive group). A TCM doctor palpated pulses at left and right cun, guan, and chi points, and quantified pulse qualities according to eight elements (depth, rate, regularity, width, length, smoothness, stiffness, and strength) on a visual analog scale. An artificial neural network was used to develop a pulse diagnostic model differentiating essential hypertension from normotension. Accuracy, specificity, and sensitivity were compared among various diagnostic models. About 80% accuracy was attained among all models. Their specificity and sensitivity varied, ranging from 70% to nearly 90%. It suggested that the novel TCM pulse diagnostic model was valid in terms of its content and diagnostic ability.
鉴于缺乏可量化的中医（TCM）脉象诊断模型，引入了一种新的 TCM 脉象诊断模型来对脉象诊断进行量化。该模型通过一组中医医生进行了内容验证。使用肱动脉血压计测量的血压作为标准进行了标准验证测试。共招募了 260 名受试者（正常血压组 139 名，高血压组 121 名）。一名中医医生在左手和右手的寸、关、尺穴位触诊脉搏，并使用视觉模拟量表根据八个要素（深度、速率、规律性、宽度、长度、平滑度、硬度和强度）对脉象质量进行量化。使用人工神经网络开发了一种区分原发性高血压和正常血压的脉象诊断模型。比较了各种诊断模型之间的准确性、特异性和敏感性。所有模型的准确率约为 80%。其特异性和敏感性有所不同，范围从 70%到近 90%。这表明新型 TCM 脉象诊断模型在内容和诊断能力方面是有效的。
