Effect of acupotomy combined with electroacupuncture on knee function of patients with knee osteoarthritis. / åˆƒé’ˆç»“åˆç”µé’ˆæ²»ç–—å¯¹è†å ³èŠ‚éª¨å ³èŠ‚ç‚Žæ‚£è€ è†å ³èŠ‚åŠŸèƒ½çš„å½±å“.

OBJECTIVES: To compare the clinical effect of combined therapy of acupotomy and electroacupuncture (EA) with the simple application of EA on knee osteoarthritis (KOA), and their influence on knee function. METHODS: Sixty-eight KOA patients were randomly divided into 2 groups, an acupotomy group and an EA group. In the acupotomy group, the combined therapy of acupotomy and EA was adopted. In the EA group, EA was simply used, delivered once every two days, 3 treatments a week；and the duration of treatment was 4 weeks. In the acupotomy group, besides the treatment as the EA group, acupotomy was combined once weekly, and the duration of treatment was 4 weeks. Separately, before and after treatment, and in 4 and 12 weeks after treatment completion (1-month and 3-month follow-up), the results of the timed up and go test (TUG), the 9-step stair climb test (9-SCT) and the knee function (Western Ontario and McMaster University osteoarthritis index visualization scale ［WOMAC］) were measured in the two groups. RESULTS: By the intention-to-treat analysis, the results of TUG, 9-SCT and WOMAC scores were reduced after treatment and in 1-month and 3-month follow-up when compared with those before treatment in the patients of the two groups (P<0.05). Compared with the EA group at the same time point, TUG results were decreased after treatment and in 1-month follow-up, and WOMAC score was reduced after treatment in the acupotomy group. WOMAC score in 1-month follow-up was reduced when compared with that before treatment within the acupotomy group (P<0.05). CONCLUSIONS: Either the simple application of EA or the combined therapy of acupotomy and EA can improve knee function, but the combined therapy obviously increases the walking speed and relieves the symptoms such as joint pain and morning stiffness. The treatment with acupotomy and EA is safe and effective on KOA and the long-term effect is satisfactory.

Genomic characteristics of Mycobacterium tuberculosis isolates of cutaneous tuberculosis.

Objectives: Cutaneous tuberculosis with various manifestations can be divided into several clinical types according to the host's immune status and infective route. However, the etiological factors of this disease remain unclear. The objective of this study is to investigate the pathogens associated with the occurrence and different types of cutaneous tuberculosis. Methods: 58 Mycobacterium tuberculosis strains isolated from cutaneous tuberculosis over the last 20 years were sequenced and analyzed for genomic characteristics including lineage distribution, drug-resistance mutations, and mutations potentially associated with different sites of infection. Results: The M. tuberculosis strains from four major types of cutaneous tuberculosis and pulmonary tuberculosis shared similar genotypes and genomic composition. The strains isolated from cutaneous tuberculosis had a lower rate of drug resistance. Phylogenic analysis showed cutaneous tuberculosis and pulmonary tuberculosis isolates scattered on the three. Several SNPs in metabolism related genes exhibited a strong correlation with different infection sites. Conclusions: The different infection sites of TB may barely be affected by large genomic changes in M. tuberculosis isolates, but the significant difference in SNPs of drug resistance gene and metabolism-related genes still deserves more attention.

Predictive nomogram for leprosy using genetic and epidemiological risk factors in Southwestern China: Case-control and prospective analyses.

BACKGROUND: There is a high incidence of leprosy among house-contacts compared with the general population. We aimed to establish a predictive model using these genetic factors along with epidemiological factors to predict leprosy risk of leprosy household contacts (HHCs). METHODS: Weighted genetic risk score (wGRS) encompassing genome wide association studies (GWAS) variants and five non-genetic factors were examined in a case-control design associated with leprosy risk including 589 cases and 647 controls from leprosy HHCs. We constructed a risk prediction nomogram and evaluated its performance by concordance index (C-index) and calibration curve. The results were validated using bootstrap resampling with 1000 resamples and a prospective design including 1100 HHCs of leprosy patients. FINDING: The C-index for the risk model was 0·792 (95% confidence interval [CI] 0·768-0·817), and was confirmed to be 0·780 through bootstrapping validation. The calibration curve for the probability of leprosy showed good agreement between the prediction of the nomogram and actual observation. HHCs were then divided into the low-risk group (nomogram score ≤ 81) and the high-risk group (nomogram score > 81). In prospective analysis, 12 of 1100 participants had leprosy during 63 months' follow-up. We generated the nomogram for leprosy in the validation cohort (C-index 0·773 [95%CI 0·658-0·888], sensitivity75·0%, specificity 66·8%). Interpretation The nomogram achieved an effective prediction of leprosy in HHCs. Using the model, the risk of an individual contact developing leprosy can be determined, which can lead to a rational preventive choice for tracing higher-risk leprosy contacts. FUNDING: The ministry of health of China, ministry of science and technology of China, Chinese academy of medical sciences, Jiangsu provincial department of science and technology, Nanjing municipal science and technology bureau.