CLUSTER-ANALYSIS TO DETERMINE HEADACHE TYPES
CLUSTER-ANALYSIS TO DETERMINE HEADACHE TYPES
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DOI：
10.1016/0021-9681(82)90014-5
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发表时间：
1982-01-01
期刊：
影响因子：
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通讯作者：
TOMPKINS, RK
中科院分区：
文献类型：
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作者：
DIEHR, P;DIEHR, G;TOMPKINS, RK
使用聚类分析将 726 名头痛患者分为具有相似症状的患者组。这样做是为了回答两个问题。可以找到哪些自然发生的患者群体，以及这些群体如何与传统的头痛类型相对应？当只需要 2 个簇时，最好的 2 个簇是紧张和偏头痛样。但也能区分出8个簇，偏头痛组就变得很小了。通过让 12 名医生为这些集群命名并开具治疗处方，测试了这些集群的临床可解释性。建议的治疗与 .apprx 中患者实际接受的治疗类似。 2/3 的情况，但其余情况则相当不同。与不同治疗相关的结果似乎因集群而异。目前对头痛进行分类和治疗的方法可能不是最佳的。
Cluster analysis was used to separate 726 headache patients into clusters of patients with similar symptoms. This was done to answer two questions. What naturally occurring groups of patients can be found, and how do these groups correspond to traditional headache types?. When only 2 clusters were required, the best 2 clusters were tension and migraine-like. However, 8 clusters could also be distinguished, and the migraine group then became very small. The clusters were tested for clinical interpretability by having 12 physicians name and prescribe treatment for the clusters. The suggested treatment was similar to what patients had actually received in .apprx. 2/3 of the cases but was rather different for remainder. The outcomes associated with different treatments appeared to vary by cluster. The current method for classifying and treating headaches may not be optimal.