从脾肾不足痰瘀内生论治间歇期痛风

间歇期痛风临床表现不典型,但持续的高尿酸是心、脑、肾等脏器发病的独立危险因素。在痛风间歇期积极降血尿酸,不仅可减低痛风的复发频率,且可对心、脑、肾等起到一定的保护作用。基于该病临床表现及相关中医文献,认为脾肾不足是间歇期痛风的根本病机,痰瘀内生是间歇期痛风病机关键,益肾健脾、活血祛痰是间歇期痛风的有效治法。

Applied research on serum protein fingerprints for prediction of Qi deficiency syndrome and phlegm and blood stasis in patients with non-small cell lung cancer

OBJECTIVE:This study screened serum tumor biomarkers by surface enhanced laser desorption/ionization time-of-flight mass spectrometry(SELDI-TOF-MS) to establish a subset which could be used for the prediction of Qi deficiency syndrome and phlegm and blood stasis in patients with non-small cell lung cancer;and as diagnostic model of Chinese medicine.METHODS:Serum samples from 63 lung cancer patients with Qi deficiency syndrome and phlegm and blood stasis,and 28 lung cancer patients with non-Qi deficiency syndrome and phlegm and blood stasis were analyzed using SELDI-TOF-MS with a PBS II-C protein chip reader.Protein profiles were generated using immobilized metal affinity capture(IMAC3) protein chips.Differentially-expressed proteins were screened.Protein peak clustering and classification analyses were performed using Biomarker Wizard and Biomarker Pattern software packages,respectively.RESULTS:A total of 268 effective protein peaks were detected in the 1,000-10,000 Da molecular range for the 15 serum proteins screened(P<0.05).The decision tree model was M 2284.97,with a sensitivity of 96.2% and a specificity of 66.7%.CONCLUSION:SELDI-TOF-MS techniques,combined with a decision tree model,can help identify serum proteomic biomarkers related to Qi deficiency syndrome and phlegm and blood stasis in lung cancer patients;and the predictive model can be used to discriminate between Chinese medicine diagnostic models of disease.

Development of a valid and reliable seven emotions impairment questionnaire and assessment of its predictability for phlegm and blood stasis

OBJECTIVE:To develop and validate a Seven Emotions Impairment questionnaire(SEIQ),to define an optimum cut-off point for the SEIQ,and to examine whether SEI was predictive of Phlegm and Blood Stasis(BS).METHODS:Two hundred outpatients and 75 college students were asked to complete the SEIQ,the Profile of Mood States(POMS),Phlegm Pattern Questionnaire(PPQ),and BS Questionnaire(BSQ).Twelve clinicians determined whether the outpatients exhibited SEI.SEIQ data were used to examine the internal consistency and determine validity for the outpatients.SEIQ,POMS,PPQ,and BSQ data were used to examine concurrent validity and predictability of SEI for Phlegm and BS in the college students.Total SEIQ scores and the clinicians' diagnoses of the outpatients were considered to define an optimum cut-off score for the SEIQ.RESULTS:The 18-item SEIQ had satisfactory internal consistency(α = 0.905) and concurrent validity.In the construct validity test,four factors(chest-anxiety,fatigue-depression,working-family-troubles,and sleep-memory) were identified.In the receiver operator characteristic curve curve analysis,the sensitivity,specificity,and area under the curve of the SEIQ were 67.2%,72.1%,and 73%,respectively.The optimum cut-off score was defined as nine points.SEIQ scores were strongly predictive of Phlegm and BS(β = 0.862 and 0.673,respectively).CONCLUSION:Based on our results,we concluded that the SEIQ is a reliable and valid instrument for evaluating SEI,and is strongly predictive of Phlegm and BS.