Pharmacokinetics and other risk factors for kanamycin-induced hearing loss in patients with multi-drug resistant tuberculosis

Introduction Tuberculosis is the most widespread infectious disease in Nepal and poses a serious threat to the health and development of the country. Incidences of drug resistant tuberculosis in Nepal are increasing and this tuberculosisis a major threat to successfully controlling tuberculosis . Objective The general objective of the study was to assess the risk factors of multi-drug resistant tuberculosis among the patients attending the National Tuberculosis Centre, Bhaktpur Nepal. Methods An observational study/ case-control study with a Atotal number of 55 multi-drug resistant tuberculosis cases and 55 controls. The study was conducted among the patient attending in the National Tuberculosis Centre , Bhaktpur Nepal for six months, between May–October 2010. sImulti-drug resistant tuberculosis wasThe collected data was analysed in SPSS 11.5 version. The association between categorical variables were analysed by chi-square tests, OR and their 95% CI were measured. Results The total number of patients used for the study was 110, of which among them 55 were cases and 55 were controls . Our study revealed that there were significant associations between history of prior TB MDR-TB OR =2.799 (95 % CI 1.159 to 6.667) (p=0.020); smoking habit OR =2.350 and (95%CI 1.071 to 5.159) (p=0.032); social stigma social stigma OR 2.655 (95%CI r 1.071 to 5.159) (p=0.013); knowledge on MDR-TB OR =9.643 (95% CI 3.339 to 27.846) (p < 0.001)and knowledge on DOTS Plus OR=16.714 (95% CI is ranging from 4.656 to 60.008) (p< 0.001). However, there was no association found between alcohol drinking habits and ventilation in the room. Conclusion Our study revealed that there were significant associations between history of prior tuberculosis, smoking habit social stigma social stigma, knowledge on multi-drug resistant tuberculosis and knowledge on DOTS Plus with multi-drug resistant tuberculosis However there was no association between alcohol drinking habit and ventilation in room with multi-drug resistant tuberculosis. http://dx.doi.org/10.3126/kumj.v8i4.6238 Kathmandu Univ Med J 2010;8(4):392-7

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SOCIO‐DEMOGRAPHIC AND RISK FACTORS FOR THE DEVELOPMENT OF MULTI DRUG RESISTANT TUBERCULOSIS

Respirology ◽

10.1111/resp.13706_17 ◽

2019 ◽

Vol 24 (S2) ◽

pp. 269-269

Keyword(s):

Risk Factors ◽

Drug Resistant ◽

Drug Resistant Tuberculosis ◽

Resistant Tuberculosis ◽

Multi Drug Resistant Tuberculosis

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Risk Factors of Treatment Outcomes for Multi-drug Resistant Tuberculosis in Shanghai, 2009-2012

Procedia Environmental Sciences ◽

10.1016/j.proenv.2016.09.003 ◽

2016 ◽

Vol 36 ◽

pp. 12-19 ◽

Cited By ~ 3

Author(s):

Dengkui Li ◽

Erjia Ge ◽

Xin Shen ◽

Xiaolin Wei

Keyword(s):

Risk Factors ◽

Treatment Outcomes ◽

Drug Resistant ◽

Drug Resistant Tuberculosis ◽

Resistant Tuberculosis ◽

Multi Drug Resistant Tuberculosis

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Prevalence and risk factors of multi-drug resistant tuberculosis in Dalian, China

Journal of International Medical Research ◽

10.1177/0300060516687429 ◽

2017 ◽

Vol 45 (6) ◽

pp. 1779-1786 ◽

Cited By ~ 9

Author(s):

Xin-Tong Lv ◽

Xi-Wei Lu ◽

Xiao-Yan Shi ◽

Ling Zhou

Keyword(s):

Risk Factors ◽

Population History ◽

Drug Resistant ◽

Drug Resistant Tuberculosis ◽

Tb Treatment ◽

Resistant Tuberculosis ◽

Multi Drug Resistant Tuberculosis ◽

Mdr Tb ◽

Previously Treated Patients ◽

Previously Treated

Objectives To investigate the prevalence and risk factors associated with multi-drug resistant tuberculosis (MDR–TB) in Dalian, China. Methods This was a retrospective review of data from patients attending a TB clinic in Dalian, China between 2012 and 2015. Demographic and drug susceptibility data were retrieved from TB treatment cards. Univariate logistic analysis was used to assess the association between risk factors and MDR–TB. Results Among the 3552 patients who were smear positive for Mycobacterium tuberculosis (MTB), 2918 (82.2%) had positive MTB cultures and 1106 (31.1%) had isolates that showed resistance to at least one drug. The overall prevalence of MDR–TB was 10.1% (359/3552; 131/2261 [5.8%] newly diagnosed and 228/1291 [17.7%] previously treated patients). Importantly, 75 extensively drug-resistant TB isolates were detected from 25 newly treated and 50 previously treated patients. In total, 215 (6.1%) patients were infected with a poly-resistant strain of MTB. Previously treated patients and older patients were more likely to develop MDR–TB. Conclusions The study showed a high prevalence of MDR–TB among the study population. History of previous TB treatment and older age were associated with MDR–TB.

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