scholarly journals Risk factors of Multidrug Resistant Tuberculosis in central Nepal: A pilot study

2012 ◽  
Vol 8 (4) ◽  
pp. 392-397 ◽  
Author(s):  
S B Marahatta ◽  
J Kaewkungwal ◽  
P Ramasoota ◽  
P Singhasivanon
Keyword(s):  
Risk Factors ◽  
Social Stigma ◽  
Smoking Habit ◽  
Drug Resistant ◽  
Drug Resistant Tuberculosis ◽  
Resistant Tuberculosis ◽  
Multi Drug Resistant Tuberculosis ◽  
National Tuberculosis ◽  
Mdr Tb ◽  
History Of

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

scholarly journals An Epidemiological Study to Find out Risk Factors of Multi Drugs Resistance Tuberculosis in Nepal

2018 ◽  
Vol 14 (2) ◽  
pp. 31-38
Author(s):  
R. P. Bichha ◽  
K. K. Jha ◽  
V. S. Salhotra ◽  
A. P. Weerakoon ◽  
K. B. Karki ◽  
...  
Keyword(s):  
Risk Factors ◽  
Nuclear Family ◽  
Previous History ◽  
Case Control ◽  
Drug Resistant ◽  
Tuberculosis Control ◽  
Drug Resistant Tuberculosis ◽  
Resistant Tuberculosis ◽  
Mdr Tb ◽  
History Of

Introduction: Drug resistant tuberculosis is a threat to tuberculosis control worldwide. Previous anti- tuberculosis treatment is a widely reported risk factor for multi drug resistant tuberculosis (MDR-TB), whereas other risk factors are less well described. In Nepal National Tuberculosis Control Programme initiated DOTSPLUS Pilot project from September 2005 using standardized treatment regimen.Objective: To explore the risk factors for MDR-TB in Nepal.Methodology: Institution based matched case control study with a case: control ratio of 1:2 was carried out in three regions of Nepal. Fifty five cases and 110 controls were selected. Current MDR-TB patients on treatment from DOTS–Plus clinic were enrolled as cases. Controls were age, sex matched cured TB patients and who had completed treatment either from the same centre or any DOTS Centre adjacent to that DOTS Plus Centre. Data was collected by a trained research assistant using interviewer administered structured questionnaire. Matched analysis was done using SPSS 16 version. Confounding effects were controlled by using matching, matched analysis and regression analysis.Results: In matched analysis following were the significant risk factors for MDR-TB in Nepal.(1) HIV Sero positivity (OR 15.9, CI 1.9- 133.0) (2) Travel cost more than 50 NRs per day (OR 6.5, CI 2.4- 9.8) (3) Contact history of TB (OR 3.8, CI 2.2- 6.6) (4) Living in a nuclear family (OR 6.0, CI 2.6- 13.9)(5) Non adherence to DOTS (OR 18.6, CI 2.27- 151.0) (6) Distance to treatment centre more than 5 Km ( OR 3.9, CI 1.5- 10.) (7) Previous history of TB ( OR 12.0, CI 5.4 -26.5)(8) Living in a rural area (OR 4, CI 2.1- 8.5) (9) Unmarried (Crude OR 3.3,CI 1.6- 6.8) (10) Un-employment (OR 3.4,CI 1.6-7.6)(11) Living in a rented house (OR 3.5, CI 1.77- 3.67) (12) Single bed room (OR 2.8, CI 1.13- 6.9).  Using muti-variate analysis except living in a rented house and single bed room other variables were positive significant predictors for MDR –TB in Nepal.Conclusions: Many risk factors were related to the DOTS. Strengthening of DOTS programme to tackle the identified risk factors can reduce the MDR –TB burden in Nepal.SAARC Journal of Tuberculosis, Lung Diseases and HIV/AIDS, Vol. 14, No. 2, 2017, Page: 31-38

scholarly journals Prevalence and factors associated with non-adherence to multi-drug resistant tuberculosis (MDR-TB) treatment at Mulago National Referral Hospital, Kampala, Uganda

2021 ◽  
Vol 21 (1) ◽  
pp. 238-47
Author(s):  
Charles Batte ◽  
Martha S Namusobya ◽  
Racheal Kirabo ◽  
John Mukisa ◽  
Susan Adakun ◽  
...  
Keyword(s):  
Mulago Hospital ◽  
Drug Resistant ◽  
Drug Resistant Tuberculosis ◽  
Factors Associated ◽  
Tb Treatment ◽  
Resistant Tuberculosis ◽  
Multi Drug Resistant Tuberculosis ◽  
Mdr Tb ◽  
History Of ◽  
Previously Treated

Background: In Uganda, 12% of previously treated TB cases and 1.6% of new cases have MDR-TB and require specialized treatment and care. Adherence is crucial for improving MDR-TB treatment outcomes. There is paucity of information on the extent to which these patients adhere to treatment and what the drivers of non-adherence are. Methods: We conducted a cohort study using retrospectively collected routine program data for patients treated for MDR- TB between January 2012 – May 2016 at Mulago Hospital. We extracted anonymized data on non-adherence (missing 10% or more of DOT), socio-economic, demographic, and treatment characteristics of the patients. All participants were sen- sitive to MDR-TB drugs after second line Drug Susceptible Testing (DST) at entry into the study. Factors associated with non-adherence to MDR-TB treatment were determined using generalized linear models for the binomial family with log link and robust standard errors. We considered a p- value less than 0.05 as statistically significant. Results: The records of 227 MDR- TB patients met the inclusion criteria, 39.4% of whom were female, 32.6% aged be- tween 25 – 34 years, and 54.6% living with HIV/AIDS. About 11.9% of the patients were non-adherent. The main driver for non-adherence was history of previous DR-TB treatment; previously treated DR-TB patients were 3.46 (Adjusted prev- alence ratio: 3.46, 95 % CI: 1.68 - 7.14) times more likely to be non-adherent. Conclusion: One in 10 MDR-TB patients treated at Mulago hospital is non-adherent to treatment. History of previous DR- TB treatment was significantly associated with non-adherence in this study. MDR-TB program should strengthen adherence counselling, strengthen DST surveillance, and close monitoring for previously treated DR-TB patients. Keywords: Non-adherence; multi-drug resistant tuberculosis; treatment.

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

2017 ◽  
Vol 45 (6) ◽  
pp. 1779-1786 ◽  
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.

scholarly journals Risk factors associated with drug-resistant tuberculosis in Ethiopia: A systematic review and meta-analysis

2021 ◽  
Author(s):  
Ayinalem Alemu ◽  
Zebenay Workneh Bitew ◽  
Getu Diriba ◽  
Balako Gumi
Keyword(s):  
Risk Factors ◽  
Meta Analysis ◽  
Drug Resistant ◽  
Drug Resistant Tuberculosis ◽  
Pulmonary Tb ◽  
Factors Associated ◽  
Tb Treatment ◽  
Resistant Tuberculosis ◽  
Mdr Tb ◽  
History Of

The emergence of drug-resistant tuberculosis (DR-TB) is becoming a challenge to the national TB control programs including Ethiopia. Different risk factors are associated with the emergence of DR-TB. Identifying these risk factors in a local setting is important to strengthen the effort to prevent and control DR-TB. Thus, this study aimed to assess the risk factors associated with drug-resistant TB in Ethiopia. The Preferred Reporting Items for Systematic Reviews and Meta-analysis checklist was followed to conduct this study. We systematically searched the articles from electronic databases and gray literature sources. We used the Joanna Briggs Institute Critical Appraisal tools to assess the quality of studies. Data were analyzed using STATA version 15. We estimated the pooled OR along with 95%CI for each risk factor. The heterogeneity of the studies was assessed using the forest plot and I heterogeneity test. Besides, we explored the presence of publication bias through visual inspection of the funnel plot and Egger’s regression test. After intense searching, we found 2238 articles, and 27 eligible studies were included in the final analysis. Based on the pooled analysis of the odds ratio, unemployment (OR; 2.71, 95% CI; 1.64, 3.78), having a history of the previous TB (OR; 4.83, 95% CI; 3.02, 6.64), having contact with a known TB patient (OR; 1.72, 95% CI; 1.05, 2.40), having contact with a known MDR-TB patient (OR; 2.54, 95% CI; 1.46, 3.63), and having pulmonary TB (OR; 1.80, 95% CI; 1.14, 2.45) were found to be the risk factors of drug-resistant TB. While older age TB patients (OR; 0.77, 95% CI; 0.60, 0.95) including age above 45 years OR; (0.76, 95% CI; 0.55, 0.97), and males (OR; 0.86, 95% CI; 0.76, 0.97) were found to had lower risk of DR-TB compared to their counterparts. A previous history of TB treatment is a major risk factor for acquiring DR-TB in Ethiopia that might be due to poor adherence during the first-line anti TB treatment. Besides, having contact with a known TB patient, having contact with a known MDR-TB patient, having pulmonary TB, and being unemployed were the risk factors of DR-TB in Ethiopia. Thus, active screening of TB contacts for DR-TB might help to detect DR-TB cases as early as possible and could help to mitigate its further transmission across the community.

scholarly journals Prevalence and factors associated with non-adherence to multi-drug resistant tuberculosis (MDR-TB) treatment at Mulago National Referral Hospital, Kampala, Uganda

2021 ◽  
Vol 21 (1) ◽  
pp. 238-47
Author(s):  
Charles Batte ◽  
Martha S Namusobya ◽  
Racheal Kirabo ◽  
John Mukisa ◽  
Susan Adakun ◽  
...  
Keyword(s):  
Mulago Hospital ◽  
Drug Resistant ◽  
Drug Resistant Tuberculosis ◽  
Factors Associated ◽  
Tb Treatment ◽  
Resistant Tuberculosis ◽  
Multi Drug Resistant Tuberculosis ◽  
Mdr Tb ◽  
History Of ◽  
Previously Treated

Background: In Uganda, 12% of previously treated TB cases and 1.6% of new cases have MDR-TB and require specialized treatment and care. Adherence is crucial for improving MDR-TB treatment outcomes. There is paucity of information on the extent to which these patients adhere to treatment and what the drivers of non-adherence are. Methods: We conducted a cohort study using retrospectively collected routine program data for patients treated for MDR- TB between January 2012 – May 2016 at Mulago Hospital. We extracted anonymized data on non-adherence (missing 10% or more of DOT), socio-economic, demographic, and treatment characteristics of the patients. All participants were sen- sitive to MDR-TB drugs after second line Drug Susceptible Testing (DST) at entry into the study. Factors associated with non-adherence to MDR-TB treatment were determined using generalized linear models for the binomial family with log link and robust standard errors. We considered a p- value less than 0.05 as statistically significant. Results: The records of 227 MDR- TB patients met the inclusion criteria, 39.4% of whom were female, 32.6% aged be- tween 25 – 34 years, and 54.6% living with HIV/AIDS. About 11.9% of the patients were non-adherent. The main driver for non-adherence was history of previous DR-TB treatment; previously treated DR-TB patients were 3.46 (Adjusted prev- alence ratio: 3.46, 95 % CI: 1.68 - 7.14) times more likely to be non-adherent. Conclusion: One in 10 MDR-TB patients treated at Mulago hospital is non-adherent to treatment. History of previous DR- TB treatment was significantly associated with non-adherence in this study. MDR-TB program should strengthen adherence counselling, strengthen DST surveillance, and close monitoring for previously treated DR-TB patients. Keywords: Non-adherence; multi-drug resistant tuberculosis; treatment.

scholarly journals P2-447 Risk factors of multi-drug resistant tuberculosis (MDR TB) in Nepal

2011 ◽  
Vol 65 (Suppl 1) ◽  
pp. A344-A345
Author(s):  
S. B. Marahatta ◽  
J. Kaewkungwal ◽  
P. Ramasoota ◽  
P. Singhasivanon
Keyword(s):  
Risk Factors ◽  
Drug Resistant ◽  
Drug Resistant Tuberculosis ◽  
Resistant Tuberculosis ◽  
Multi Drug Resistant Tuberculosis ◽  
Mdr Tb

scholarly journals Trends, Characteristics and Treatment Outcomes of Patients with Drug-Resistant Tuberculosis in Uzbekistan: 2013–2018

2021 ◽  
Vol 18 (9) ◽  
pp. 4663
Author(s):  
Khasan Safaev ◽  
Nargiza Parpieva ◽  
Irina Liverko ◽  
Sharofiddin Yuldashev ◽  
Kostyantyn Dumchev ◽  
...  
Keyword(s):  
Risk Factors ◽  
Treatment Outcomes ◽  
Treatment Success ◽  
National Level ◽  
Drug Resistant ◽  
Drug Resistant Tuberculosis ◽  
Loss To Follow Up ◽  
Resistant Tuberculosis ◽  
Mdr Tb

Uzbekistan has a high burden of drug-resistant tuberculosis (TB). Although conventional treatment for multidrug-resistant TB (MDR-TB) and extensively drug-resistant TB (XDR-TB) has been available since 2013, there has been no systematic documentation about its use and effectiveness. We therefore documented at national level the trends, characteristics, and outcomes of patients with drug-resistant TB enrolled for treatment from 2013–2018 and assessed risk factors for unfavorable treatment outcomes (death, failure, loss to follow-up, treatment continuation, change to XDR-TB regimen) in patients treated in Tashkent city from 2016–2017. This was a cohort study using secondary aggregate and individual patient data. Between 2013 and 2018, MDR-TB numbers were stable between 2347 and 2653 per annum, while XDR-TB numbers increased from 33 to 433 per annum. At national level, treatment success (cured and treatment completed) for MDR-TB decreased annually from 63% to 57%, while treatment success for XDR-TB increased annually from 24% to 57%. On multivariable analysis, risk factors for unfavorable outcomes, death, and loss to follow-up in drug-resistant TB patients treated in Tashkent city included XDR-TB, male sex, increasing age, previous TB treatment, alcohol abuse, and associated comorbidities (cardiovascular and liver disease, diabetes, and HIV/AIDS). Reasons for these findings and programmatic implications are discussed.

scholarly journals SIDE EFFECTS ASSOCIATED WITH DRUGS USED IN TREATMENT OF MULTI DRUG RESISTANT TUBERCULOSIS AND TREATMENT RELATED FACTORS OF MULTI DRUG RESISTANT TUBERCULOSIS PATIENTS IN KATHMANDU VALLEY

2017 ◽  
Vol 14 (1) ◽  
pp. 1-6 ◽  
Author(s):  
Chandra Prakash Bhatt ◽  
B KC
Keyword(s):  
Health Care ◽  
Side Effects ◽  
Drug Resistant ◽  
Second Line ◽  
Related Factors ◽  
Drug Resistant Tuberculosis ◽  
Resistant Tuberculosis ◽  
Multi Drug Resistant Tuberculosis ◽  
Mdr Tb ◽  
Care Worker

Introduction: Treatment of multi drug resistant Mycobacterium tuberculosis (MDR-TB) with second line drugs is associated with adverse drug reactions and toxicity. Aim of this study were to determine side effects associated with drugs used in treatment of multi drug resistant tuberculosis and treatment related factors of MDR-TB patients.Methodology: A prospective study was carried out in National Tuberculosis Centre Bhaktapur Nepal. Questionnaires were used to collect data from patients.Results: Total 101 MDR TB patients were included among them majorities were male (52%) and mean age of the patients was 31.2 years. Majority of patients (87.1%) had previous history of tuberculosis treatment and 54.5% were in intensive phase of treatment. The side effect associated with drugs used in treatment of MDR-TB reported by patients were joint pain (21.2%), nausea (20.3%), hearing disturbances (11%), gastrointestinal disturbance (9.9%), depression (9.6%), itching (8.1%), hypothyroidism (6.4%), dizziness (6.4%), seizures (3.8%) and hepatitis (3.5%). Last month 25.74% patients missed one or more doses of drugs and 3.9% missed drug doses due to side effect of drugs. Majorities of the patients used vehicle to reach health centre (92.07%), time to reach the health center (59.4%) were less than 30 minutes but majorities of patients (57.4%) were not satisfied by the counseling of health care worker.Conclusion: The finding of this study shows that in MDR patients 12.8% were found new cases. Last month 3.9% patients were stopped the drugs due to side effects of drugs. Majority of patients (57.4%) were not satisfied by counseling of health care worker. Treatment of multi drug resistant tuberculosis with second line anti tubercular drugs is associated with side effects, health care worker counseling to MDR- TB patients with full attention is essential to encourage the patient’s moral and complete the treatment. Timely managing the side effects of medication is important in helping people to complete their treatment.SAARC J TUBER LUNG DIS HIV/AIDS, 2017; XIV(1), Page: 1-6

scholarly journals Intensive phase treatment outcome and associated factors among patients treated for multi drug resistant tuberculosis in Ethiopia: a retrospective cohort study

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Teklu Molie ◽  
Zelalem Teklemariam ◽  
Eveline Klinkenberg ◽  
Yadeta Dessie ◽  
Andargachew Kumsa ◽  
...  
Keyword(s):  
Treatment Outcome ◽  
Retrospective Cohort ◽  
Multinomial Logistic Regression ◽  
Drug Resistant ◽  
Contributing Factors ◽  
Drug Resistant Tuberculosis ◽  
Intensive Phase ◽  
Resistant Tuberculosis ◽  
Multi Drug Resistant Tuberculosis ◽  
Mdr Tb

Abstract Background Multi-drug resistant Tuberculosis (MDR-TB) is a strain of Mycobacterium tuberculosis that is resistant to at least Rifampicin and Isoniazid drugs. The treatment success rate for MDR-TB cases is lower than for drug susceptible TB. Globally only 55% of MDR-TB patients were successfully treated. Monitoring the early treatment outcome and better understanding of the specific reasons for early unfavorable and unknown treatment outcome is crucial for preventing the emergence of further drug-resistant tuberculosis. However, this information is scarce in Ethiopia. Therefore, this study aimed to determine the intensive phase treatment outcome and contributing factors among patients treated for MDR-TB in Ethiopia. Methods A 6 year retrospective cohort record review was conducted in fourteen TICs all over the country. The records of 751 MDR-TB patients were randomly selected using simple random sampling technique. Data were collected using a pre-tested and structured checklist. Multivariable multinomial logistic regression was undertaken to identify the contributing factors. Results At the end of the intensive phase, 17.3% of MDR-TB patients had an unfavorable treatment outcome, while 16.8% had an unknown outcome with the remaining having a favorable outcome. The median duration of the intensive phase was 9.0 months (IQR 8.04–10.54). Having an unfavorable intensive phase treatment outcome was found significantly more common among older age [ARRR = 1.047, 95% CI (1.024, 1.072)] and those with a history of hypokalemia [ARRR = 0.512, 95% CI (0.280, 0.939)]. Having an unknown intensive phase treatment outcome was found to be more common among those treated under the ambulatory care [ARRR = 3.2, 95% CI (1.6, 6.2)], rural dwellers [ARRR = 0.370, 95% CI (0.199, 0.66)], those without a treatment supporter [ARRR = 0.022, 95% CI (0.002, 0.231)], and those with resistance to a limited number of drugs. Conclusion We observed a higher rate of unfavorable and unknown treatment outcome in this study. To improve favorable treatment outcome more emphasis should be given to conducting all scheduled laboratory monitoring tests, assignment of treatment supporters for each patient and ensuring complete recording and reporting which could be enhanced by quarterly cohort review. Older aged and rural patients need special attention. Furthermore, the sample referral network should be strengthened.

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