摘要
Objective： To investigate a method for quantitative differential diagnosis of damp-heat and cold-damp impeding syndrome of rheumatoid arthritis （RA） in Chinese medicine （CM）. Methods： Laboratory parameters were collected from 306 patients with RA. The clinical symptoms and laboratory parameters were compared between patients with these two syndromes （158 with RA of damp-heat impeding syndrome, and 148 with RA of cold-damp impeding syndrome）, and a regression equation was established to facilitate discrimination of the two RA syndromes. Results： There were significant differences in disease activity score in 28 joints [DAS28 （4）], erythrocyte sedimentation rate （ESR）, white blood cell count （WBC）, C-reactive protein （CRP）, platelet count （PLT）, albumin （ALB） and globulin （GLB） between the two syndrome of RA （P〈0.05）. Logistic regression analysis showed that the parameters ESR, WBC, CRP, joint pyrexia, joint cold, thirst, sweating, aversion to wind and cold, and cold extremities were statistically useful to discriminate damp-heat from cold-damp impeding syndrome. The regression equation was as follows： P=1/{1＋exp[-（3.0-0.021X1-0.196X2-0.163X3- 1.559X4＋1.504X5-0.927X6-1.039X7＋1.070X8＋1.330X9）]}. The independent variables X1-X9 were ESR, WBC, CRP, hot joint, cold joint, thirst, sweating, aversion to wind and cold, and cold limbs. A P value 〉 0.5 signified cold-damp impeding syndrome, and a P value 〈 0.5 signified damp-heat impeding syndrome. The accuracy was 90.2%. Conclusion： The regression equation may be useful for discriminating damp-heat from cold-damp impeding syndrome of RA.
Objective： To investigate a method for quantitative differential diagnosis of damp-heat and cold-damp impeding syndrome of rheumatoid arthritis （RA） in Chinese medicine （CM）. Methods： Laboratory parameters were collected from 306 patients with RA. The clinical symptoms and laboratory parameters were compared between patients with these two syndromes （158 with RA of damp-heat impeding syndrome, and 148 with RA of cold-damp impeding syndrome）, and a regression equation was established to facilitate discrimination of the two RA syndromes. Results： There were significant differences in disease activity score in 28 joints [DAS28 （4）], erythrocyte sedimentation rate （ESR）, white blood cell count （WBC）, C-reactive protein （CRP）, platelet count （PLT）, albumin （ALB） and globulin （GLB） between the two syndrome of RA （P〈0.05）. Logistic regression analysis showed that the parameters ESR, WBC, CRP, joint pyrexia, joint cold, thirst, sweating, aversion to wind and cold, and cold extremities were statistically useful to discriminate damp-heat from cold-damp impeding syndrome. The regression equation was as follows： P=1/{1＋exp[-（3.0-0.021X1-0.196X2-0.163X3- 1.559X4＋1.504X5-0.927X6-1.039X7＋1.070X8＋1.330X9）]}. The independent variables X1-X9 were ESR, WBC, CRP, hot joint, cold joint, thirst, sweating, aversion to wind and cold, and cold limbs. A P value 〉 0.5 signified cold-damp impeding syndrome, and a P value 〈 0.5 signified damp-heat impeding syndrome. The accuracy was 90.2%. Conclusion： The regression equation may be useful for discriminating damp-heat from cold-damp impeding syndrome of RA.
基金
supported by the Scientific Program of Traditional Chinese Medicine of Chongqing Municipal Health Bureau,China (2008-1-15)
the National Natural Science Foundation of China(No.30973827)
