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目的:通过构建传染性非典型肺炎(SARS)与急性上呼吸道感染(ARI)患者中医症状统计模型,为中医临床鉴别诊断提供参考。方法:自拟临床观察表收集急诊SARS与ARI患者中医四诊信息,采用描述性分析、检验、逐步Iogistic回归。结果:46个中医四诊指标中,有19个中医四诊指标SARS与ARI患者比较,差异有显著性意义(P＜0．05);建立Iogistic回归统计模型,模型引入了8个症状学指标:鼻塞、流涕、咽痛、身酸痛、胸痛、乏力、便溏、脉滑。模型诊断符合率为94．3％。结论:将中医症状学指标建立统计模型,对临床区别SARs与ARI有一定的参考作用,可为临床从症状学指标诊断SARS与ARI提供参考。
OBJECTIVE: To provide a reference for the differential diagnosis of TCM by constructing the TCM symptom statistical model of SARS and ARI patients. Methods: The clinical observation table was collected to collect the four diagnostic information of TCM in patients with acute SARS and ARI. Descriptive analysis, test and stepwise Iogistic regression were used. Results: Of the 46 TCM diagnostic indexes, there were 19 TCM diagnostic indexes SARS and ARI patients, the difference was statistically significant (P <0.05); established Iogistic regression model, the model introduced 8 symptom indicators : Stuffy nose, runny nose, sore throat, body ache, chest pain, fatigue, loose stool, slippery pulse. The coincidence rate of model diagnosis was 94.3%. Conclusion: The establishment of a statistical model of TCM Symptom Index has certain reference value for differentiating SARs from ARI clinically, and may provide a reference for the clinical diagnosis of SARS and ARI from the index of Symptoms.