[Influence of therapeutic effect of acupoint sticking at Shenque (CV 8) for treatment of stroke patients].

OBJECTIVE: To observe the therapeutic effect of acupoint sticking therapy for treatment of stroke. METHODS: Two hundred and forty-six cases were randomly divided into a non-acupoint sticking group (control group, n=122) and an acupoint sticking group (n=124). The control group was treated with routine ward treatment of stroke (acupuncture combined with routine western medicine). The acupoint sticking group was treated with basis ward treatment of stroke (similar to the control group), and acupoint sticking therapy was applicated on Shenque (CV 8). The scores of Stroke-Specific Quality of Life (SS-QOL) and WHOQOL-100BREF were adopted to evaluate the therapeutic effects and the cysteine of patients were tested before and after treatment. RESULTS: There were significant differences in scores comparison of SS-QOL and WHOQOL-100BREF before and after treatment in both groups (both P < 0.001); there was no significant difference after treatment between two groups (P > 0.05); there was a significant difference in thinking items of SS-QOL after treatment between two groups (P < 0.05), the acupoint sticking group was superior to that of control group; SS-QOL score of patients with abnormal cysteine of acupoint sticking group was superior to that of the control group after treatment, with a significant difference between the two groups (P < 0.05). CONCLUSION: The acupoint sticking therapy can improve the thinking ability of stroke patients, and improve the life quality of high cysteine stroke patients.

Proteomic fingerprints for potential application to early diagnosis of severe acute respiratory syndrome.

BACKGROUND: Definitive early-stage diagnosis of severe acute respiratory syndrome (SARS) is important despite the number of laboratory tests that have been developed to complement clinical features and epidemiologic data in case definition. Pathologic changes in response to viral infection might be reflected in proteomic patterns in sera of SARS patients. METHODS: We developed a mass spectrometric decision tree classification algorithm using surface-enhanced laser desorption/ionization time-of-flight mass spectrometry. Serum samples were grouped into acute SARS (n = 74; <7 days after onset of fever) and non-SARS [n = 1067; fever and influenza A (n = 203), pneumonia (n = 176); lung cancer (n = 29); and healthy controls (n = 659)] cohorts. Diluted samples were applied to WCX-2 ProteinChip arrays (Ciphergen), and the bound proteins were assessed on a ProteinChip Reader (Model PBS II). Bioinformatic calculations were performed with Biomarker Wizard software 3.1.1 (Ciphergen). RESULTS: The discriminatory classifier with a panel of four biomarkers determined in the training set could precisely detect 36 of 37 (sensitivity, 97.3%) acute SARS and 987 of 993 (specificity, 99.4%) non-SARS samples. More importantly, this classifier accurately distinguished acute SARS from fever and influenza with 100% specificity (187 of 187). CONCLUSIONS: This method is suitable for preliminary assessment of SARS and could potentially serve as a useful tool for early diagnosis.