RESUMO
Objective To determine the genotype and clustering characteristics of multidrug-resistant (MDR) mycobacterium tuberculosis in Wuhan City. Methods A total of 149 mycobacterium tuberculosis strains from MDR tuberculosis (MDR-TB) patients were genotyped by DTM-PCR, mycobacterial interspersed repetitive unit–variable number tandem repeat typing (MIRU-VNTR) and sequencing of drug-resistant associated genes. The Hunter-Gaston discriminatory index (HGDI), clustering rate and recent minimum estimated infection rate were calculated. Results The cumulative HGDI of all MIRU loci was 0.9944. Gene locus with the highest HGDI（0.6467）was QUB11b. Combing MIRU-VNTR and DTM-PCR, 111 unique genotypes and 11 clustered genotypes（38 strains）from 149 isolates were identified. The clustering rate was 25.50%, and the recent minimum infection rate was estimated to be 18.12%. After further genotyping by sequencing of drug-resistant associated genes, the results showed that 17 (44.74%) strains in each cluster shared the same mutation sites, while the other strains had different mutation sites. Conclusion The combination of DTM-PCR, 24 locus MIRU-VNTR typing and drug resistance gene sequencing demonstrates a relatively high discriminatory power, which is suitable for the genotyping of multi drug resistant mycobacterium tuberculosis in Wuhan. The epidemic of MDR-TB in Wuhan is mainly caused by reactivation, and the recent transmission rate is not high.
RESUMO
Objective@#To understand delay in treatment student tuberculosis (TB) patients in Wuhan from 2011 to 2018, and to provide a reference for prevention and control measures of tuberculosis in schools.@*Methods@#The medical cases of students with tuberculosis in Wuhan recorded by the national tuberculosis management information system during 2011-2018 were analyzed for the delay and change trend of medical treatment of students with tuberculosis, and Logistic regression was used to analyze influencing factors.@*Results@#The median number of student TB patients seeking treatment in Wuhan was 9(3,21) days, and 51.14% of student TB patients were delayed. From 2011 to 2018, the overall delay rate of TB patients in students decreased slowly and then gradually increased, decrea sing from the highest rate (56.4%) in 2011 to the lowest one (45.6%) in 2014, and then gradually increased to 53.8% in 2018, there was no significant difference in the delay rate between the first and the second four years(χ2=2.84, P=0.09); The delay rate of different gender students was the same as that of the whole. The fluctuation of female students was slightly obvious, but the difference was not statistically significant(χ2=0.07, P>0.05); Among the students of different age groups, the delay rate of 13-18 years old was the lowest(χ2=87.23, P<0.01). The delay rate of 19-22 years old and university groups of different school levels showed a slow decline, while that of other age groups and other school level groups showed an overall upward trend. The results of multivariate logistic regression analysis showed that the main factors affecting the delay rate of medical treatment were the remote urban area(OR=1.84, 95%CI=1.56-2.16), the ethnic minorities (OR=2.73, 95%CI=1.46-5.09) and the age of 13-18(OR=0.57, 95%CI=0.33-1.00).@*Conclusion@#Delay in treatment of TB patients in Wuhan is not optimistic, with more than half of the students have delayed in treatment, the main factors that affect the high rate of TB patients’ treatment delay are the students in the far urban areas and ethnic minorities. It is very important to take targeted prevention and control measures to guide the students to actively seek medical treatment according to the time, the place and the person.