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 Determinant factors for loss to follow-up in drug-resistant tuberculosis patients: the importance of psycho-social and economic aspects

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Soedarsono Soedarsono ◽  
Ni Made Mertaniasih ◽  
Tutik Kusmiati ◽  
Ariani Permatasari ◽  
Ni Njoman Juliasih ◽  
...  
Keyword(s):  
Social Support ◽  
Health Service ◽  
Economic Status ◽  
Treatment Success ◽  
Negative Attitude ◽  
Drug Resistant ◽  
Drug Resistant Tuberculosis ◽  
Loss To Follow Up ◽  
Resistant Tuberculosis

Abstract Background Drug-resistant tuberculosis (DR-TB) is the barrier for global TB elimination efforts with a lower treatment success rate. Loss to follow-up (LTFU) in DR-TB is a serious problem, causes mortality and morbidity for patients, and leads to wide spreading of DR-TB to their family and the wider community, as well as wasting health resources. Prevention and management of LTFU is crucial to reduce mortality, prevent further spread of DR-TB, and inhibit the development and transmission of more extensively drug-resistant strains of bacteria. A study about the factors associated with loss to follow-up is needed to develop appropriate strategies to prevent DR-TB patients become loss to follow-up. This study was conducted to identify the factors correlated with loss to follow-up in DR-TB patients, using questionnaires from the point of view of patients. Methods An observational study with a cross-sectional design was conducted. Study subjects were all DR-TB patients who have declared as treatment success and loss to follow-up from DR-TB treatment. A structured questionnaire was used to collect information by interviewing the subjects as respondents. Obtained data were analyzed potential factors correlated with loss to follow-up in DR-TB patients. Results A total of 280 subjects were included in this study. Sex, working status, income, and body mass index showed a significant difference between treatment success and loss to follow-up DR-TB patients with p-value of 0.013, 0.010, 0.007, and 0.006, respectively. In regression analysis, factors correlated with increased LTFU were negative attitude towards treatment (OR = 1.2; 95% CI = 1.1–1.3), limitation of social support (OR = 1.1; 95% CI = 1.0–1.2), dissatisfaction with health service (OR = 2.1; 95% CI = 1.5–3.0)), and limitation of economic status (OR = 1.1; 95% CI = 1.0–1.2)). Conclusions Male patients, jobless, non-regular employee, lower income, and underweight BMI were found in higher proportion in LTFU patients. Negative attitude towards treatment, limitation of social support, dissatisfaction with health service, and limitation of economic status are factors correlated with increased LTFU in DR-TB patients. Non-compliance to treatment is complex, we suggest that the involvement and support from the combination of health ministry, labor and employment ministry, and social ministry may help to resolve the complex problems of LTFU in DR-TB patients.

scholarly journals Evaluation of drug-resistant tuberculosis treatment outcome in Portugal, 2000–2016

PLoS ONE ◽  
2021 ◽  
Vol 16 (4) ◽  
pp. e0250028
Author(s):  
Olena Oliveira ◽  
Rita Gaio ◽  
Margarida Correia-Neves ◽  
Teresa Rito ◽  
Raquel Duarte
Keyword(s):  
Treatment Outcome ◽  
Hiv Infection ◽  
Treatment Outcomes ◽  
Treatment Success ◽  
Case Fatality ◽  
Drug Resistant ◽  
Drug Resistant Tuberculosis ◽  
Factors Associated ◽  
Resistant Tuberculosis ◽  
Mdr Tb

Treatment of drug-resistant tuberculosis (TB), which is usually less successful than that of drug-susceptible TB, represents a challenge for TB control and elimination. We aimed to evaluate treatment outcomes and to identify the factors associated with death among patients with MDR and XDR-TB in Portugal. We assessed MDR-TB cases reported for the period 2000–2016, using the national TB Surveillance System. Treatment outcomes were defined according to WHO recommendations. We identified the factors associated with death using logistic regression. We evaluated treatment outcomes of 294 MDR- and 142 XDR-TB patients. The treatment success rate was 73.8% among MDR- and 62.7% among XDR-TB patients (p = 0.023). The case-fatality rate was 18.4% among MDR- and 23.9% among XDR-TB patients. HIV infection (OR 4.55; 95% CI 2.31–8.99; p < 0.001) and resistance to one or more second-line injectable drugs (OR 2.73; 95% CI 1.26–5.92; p = 0.011) were independently associated with death among MDR-TB patients. HIV infection, injectable drug use, past imprisonment, comorbidities, and alcohol abuse are conditions that were associated with death early on and during treatment. Early diagnosis of MDR-TB and further monitoring of these patients are necessary to improve treatment outcome.

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 Analysis of loss to follow-up in 4099 multidrug-resistant pulmonary tuberculosis patients

2019 ◽  
Vol 54 (1) ◽  
pp. 1800353 ◽  
Author(s):  
Ian F. Walker ◽  
Oumin Shi ◽  
Joseph P. Hicks ◽  
Helen Elsey ◽  
Xiaolin Wei ◽  
...  
Keyword(s):  
Risk Factors ◽  
Adverse Event ◽  
Treatment Success ◽  
Multidrug Resistant ◽  
Cox Proportional Hazards Model ◽  
Serious Adverse Event ◽  
Loss To Follow Up ◽  
Factors Associated ◽  
Mdr Tb

Loss to follow-up (LFU) of ≥2 consecutive months contributes to the poor levels of treatment success in multidrug-resistant tuberculosis (MDR-TB) reported by TB programmes. We explored the timing of when LFU occurs by month of MDR-TB treatment and identified patient-level risk factors associated with LFU.We analysed a dataset of individual MDR-TB patient data (4099 patients from 22 countries). We used Kaplan–Meier survival curves to plot time to LFU and a Cox proportional hazards model to explore the association of potential risk factors with LFU.Around one-sixth (n=702) of patients were recorded as LFU. Median (interquartile range) time to LFU was 7 (3–11) months. The majority of LFU occurred in the initial phase of treatment (75% in the first 11 months). Major risk factors associated with LFU were: age 36–50 years (HR 1.3, 95% CI 1.0–1.6; p=0.04) compared with age 0–25 years, being HIV positive (HR 1.8, 95% CI 1.2–2.7; p<0.01) compared with HIV negative, on an individualised treatment regimen (HR 0.7, 95% CI 0.6–1.0; p=0.03) compared with a standardised regimen and a recorded serious adverse event (HR 0.5, 95% CI 0.4–0.6; p<0.01) compared with no serious adverse event.Both patient- and regimen-related factors were associated with LFU, which may guide interventions to improve treatment adherence, particularly in the first 11 months.

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 Cost comparison of nine-month treatment regimens with 20-month standardized care for the treatment of rifampicin-resistant/multi-drug resistant tuberculosis in Nigeria

PLoS ONE ◽  
2020 ◽  
Vol 15 (12) ◽  
pp. e0241065
Author(s):  
Florence O. Bada ◽  
Nick Blok ◽  
Evaezi Okpokoro ◽  
Saswata Dutt ◽  
Christopher Akolo ◽  
...  
Keyword(s):  
Treatment Regimen ◽  
Treatment Success ◽  
Cost Savings ◽  
Drug Resistant ◽  
Second Line ◽  
Success Rates ◽  
Drug Resistant Tuberculosis ◽  
Treatment Regimens ◽  
Resistant Tuberculosis ◽  
Mdr Tb

Background Globally, drug resistant tuberculosis (DR-TB) continues to be a public health threat. Nigeria, which accounts for a significant proportion of the global burden of rifampicin/multi-drug resistant-TB (RR/MDR-TB) had a funding gap of $168 million dollars for TB treatment in 2018. Since 2010, Nigeria has utilized five different models of care for RR/MDR-TB (Models A-E); Models A, B and C based on a standardized WHO-approved treatment regimen of 20–24 months, were phased out between 2015 and 2019 and replaced by Models D and E. Model D is a fully ambulatory model of 9–12 months during which a shorter treatment regimen including a second-line injectable agent is utilized. Model E is identical to Model D but has patients hospitalized for the first four months of care while Model F which is to be introduced in 2020, is a fully ambulatory, oral bedaquiline-containing shorter treatment regimen of 9–12 months. Treatment models for RR/MDR-TB of 20–24 months duration have had treatment success rates of 52–66% while shorter treatment regimens have reported success rates of 85% and above. In addition, replacing the second-line injectable agent in a shorter treatment regimen with bedaquiline has been found to further improve treatment success in patients with fluoroquinolone-susceptible RR/MDR-TB. Reliable cost data for RR/MDR-TB care are limited, specifically costs of models that utilize shorter treatment regimens and which are vital to guide Nigeria through the provision of RR/MDR-TB care at scale. We therefore conducted a cost analysis of shorter treatment regimens in use and to be used in Nigeria (Models D, E and F) and compared them to three models of longer duration utilized previously in Nigeria (Models A, B and C) to identify any changes in cost from transitioning from Models A-C to Models D-F and opportunities for cost savings. Methods We obtained costs for TB diagnostic and monitoring tests, in-patient and out-patient care from a previous study, inflated these costs to 2019 NGN and then converted to 2020 USD. We obtained other costs from the average of six health facilities and drug costs from the global drug facility. We modeled treatment on strict adherence to two Nigerian National guidelines for programmatic and clinical management of drug-resistant tuberculosis. Results We estimated that the total costs of care from the health sector perspective for Models D, E and F were $4,334, $7,705 and $3,420 respectively. This is significantly lower than the costs of Models A, B and C which were $14,781, $12, 113, $7,572 respectively. Conclusion Replacing Models A–C with Models D and E reduced the costs of RR/MDR-TB care in Nigeria by approximately $5,470 (48%) per patient treated and transitioning from Models D and E to Model F would result in further cost savings of $914 to $4,285 (21 to 56%) for every patient placed on Model F. If the improved outcomes of patients managed using bedaquiline-containing shorter treatment regimens in other countries can be attained in Nigeria, Model F would be the recommended model for the scale up of RR/MDR-TB care in Nigeria.

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