Intermittent treatment interruption and its effect on multidrug resistant tuberculosis treatment outcome in Ethiopia

Integrating narrative and bibliometric approaches to examine factors and impacts of tuberculosis treatment non-compliance

BACKGROUND

Tuberculosis (TB) treatment non-compliance remains a significant global public health issue, undermining disease control efforts and leading to adverse clinical and epidemiological outcomes. While considerable research has explored this issue, gaps remain in understanding the multifactorial influences on non-compliance, particularly its key factors and impacts, as well as the interconnections that exacerbate these challenges. This study integrates narrative and bibliometric approaches to critically synthesize and visualize factors contributing to TB treatment non-compliance and its impacts. By addressing research gaps, this study aims to provide a comprehensive framework for understanding the multifactorial challenges and proposing evidence-informed strategies to address clinical and epidemiological issues.

METHODS

A systematic search of Scopus, EBSCO (Medline), ScienceDirect, and PubMed databases identified empirical studies published up to December 2024. Thematic synthesis categorized factors into overarching themes, while bibliometric analysis using VOSviewer software visualized factors and their interconnections.

RESULTS

The review identified key factors such as poor tuberculosis knowledge, stigma, side effects, and economic constraints, interacting with demographic, psychological, and systemic barriers. Network visualization highlighted the interconnections among these factors, illustrating how they compound to exacerbate non-compliance. Clinical and epidemiological impacts include MDR/XDR-TB, prolonged treatment, and community transmission.

CONCLUSIONS

TB treatment non-compliance arises from a complex interplay of individual, socio-economic, and healthcare-related factors. This review emphasizes the importance of integrated narrative and bibliometric approaches to develop context-specific strategies for improving adherence, reducing the global TB burden, and guiding future research and policy.

Impact of HIV coinfection on tuberculosis treatment outcomes in Ethiopia: a systematic review and meta-analysis

OBJECTIVES

Despite the implementation of a short-term direct observation treatment programme, HIV coinfection is one of the main determinants of tuberculosis (TB) treatment success. This meta-analysis was conducted to report the impact of HIV on TB treatment outcomes using inconsistent and variable study findings.

DESIGN

Systematic review and meta-analysis was performed.

DATA SOURCES

The PubMed/Medline, Web of Science and Google Scholar databases were used to access the articles. The Joanna Briggs Institute (JBI) Meta-Analysis of Statistics Assessment and Review Instrument was used for the critical appraisal.

ELIGIBILITY CRITERIA

All observational studies conducted in Ethiopia and reporting TB treatment outcomes in relation to HIV coinfection were included in the final analysis.

DATA EXTRACTION AND SYNTHESIS

Two independent reviewers extracted the data using a standardised data extraction format. The JBI critical appraisal tool was used to assess the quality of primary studies. Stata V.14 was used for the data analysis. Cochran's Q statistic with inverse variance (I2) and funnel plot are used to assess the presence of heterogeneity (I2=94.4%, p<0.001) and publication bias, respectively. A random effect model was used to estimate TB treatment outcomes with a 95% CI.

RESULTS

The overall success rate of TB treatment was 69.9% (95% CI 64% to 75%). The cure rate of TB among patients living with HIV was 19.3%. Furthermore, the odds of unsuccessful treatment among TB-HIV coinfected patients were 2.6 times greater than those among HIV nonreactive patients (OR 2.65; 95% CI 2.1 to 3.3).

CONCLUSION

The success of TB treatment among patients living with HIV in Ethiopia was lower than the WHO standard threshold (85%). HIV coinfection hurts TB treatment success. Therefore, collaborative measurements and management, such as early treatment initiation, follow-up and the management of complications, are important.

Survival status and risk factors for mortality among multidrug-resistant tuberculosis patients in Addis Ababa, Ethiopia: A retrospective follow-up study

Background

Tuberculosis continues to be a major health concern around the world. It kills an estimated 1.6 million people each year. The World Health Organization (WHO) removed Ethiopia from its list of thirty countries having a high prevalence of MDR/RR-TB in 2021. As a result, the aim of this study was to assess the current context of survival status and risk factors of multidrug-resistant tuberculosis patients in Addis Ababa, Ethiopia, in 2022.

Methods

An institutional-based retrospective cohort study with 245 patients was undertaken using multidrug-resistant tuberculosis patients who were recruited from January 1st, 2018 to December 30th, 2021, in St. Peter's specialized hospital. To find independent predictors of survival status, Cox regression analysis was used. An adjusted hazard ratio with a 95% confidence interval and a p-value of < 0.05 was used to establish association and statistical significance.

Results

The result of the study revealed that the incidence of mortality in this study was 13.1% (95% CI: 10.3-16.5). Moreover, being male (AOR = 3.7: 95% CI = 1.2, 11.4), old age (AOR = 14: 95% CI = 3.0, 60.4), site of TB (AOR = 0.2: 95% CI = 0.03, 0.6), and presence of comorbidity (AOR = 9.2: 95% CI = 2.4, 35.3), were independent predictors of time to death.

Conclusion

Generally, the death rate among research participants was high. Moreover, male gender, old age, site of tuberculosis, and presence of other comorbidity were predictors of mortality among MDR-TB patients.

M. tuberculosis Transcription Machinery: A Review on the Mycobacterial RNA Polymerase and Drug Discovery Efforts

Mycobacterium tuberculosis (MTB) is the main source of tuberculosis (TB), one of the oldest known diseases in the human population. Despite the drug discovery efforts of past decades, TB is still one of the leading causes of mortality and claimed more than 1.5 million lives worldwide in 2020. Due to the emergence of drug-resistant strains and patient non-compliance during treatments, there is a pressing need to find alternative therapeutic agents for TB. One of the important areas for developing new treatments is in the inhibition of the transcription step of gene expression; it is the first step to synthesize a copy of the genetic material in the form of mRNA. This further translates to functional protein synthesis, which is crucial for the bacteria living processes. MTB contains a bacterial DNA-dependent RNA polymerase (RNAP), which is the key enzyme for the transcription process. MTB RNAP has been targeted for designing and developing antitubercular agents because gene transcription is essential for the mycobacteria survival. Initiation, elongation, and termination are the three important sequential steps in the transcription process. Each step is complex and highly regulated, involving multiple transcription factors. This review is focused on the MTB transcription machinery, especially in the nature of MTB RNAP as the main enzyme that is regulated by transcription factors. The mechanism and conformational dynamics that occur during transcription are discussed and summarized. Finally, the current progress on MTB transcription inhibition and possible drug target in mycobacterial RNAP are also described to provide insight for future antitubercular drug design and development.

Factors affecting the treatment outcome of injection based shorter MDR-TB regimen at a referral centre in India

Rifampicin-resistant/multidrug-resistant tuberculosis (RR/MDR-TB) is a significant burden on global tuberculosis (TB) prevention and eradication efforts. MDR-TB can be treated, but it is expensive, takes a long time (typically two years), and contains potentially toxic drugs. Under certain conditions, the WHO recommends standard regimens lasting 9 to 11 months rather than individual regimens lasting at least 18-20 months. The current study sought to identify factors associated with treatment outcome in RR/MDR-TB patients receiving an injection-based regimen for 9-11 months. This ambispective (prospective and retrospective) observational study was conducted at a tertiary tuberculosis institute in New Delhi, India. Between February 2021 and March 2022, patients with RR/MDR-pulmonary TB who received an injection-based shorter regimen were enrolled. Factors related to treatment outcome were investigated and compared in patients who had a successful outcome versus those who did not. A total of 55 patients were enrolled, with 50.91% being successful (cured/treatment completed) and 49.09% failing (including failure, lost to follow up, death, and regimen changed). The following factors were significantly associated with the unsuccessful outcome, according to univariate analysis: BMI (18.5 kg/m2), anaemia, previous anti-TB treatment, bilateral chest X-ray involvement, and far advanced disease on chest X-ray BMI (18.5 kg/m2), anaemia, and far advanced disease on chest X-ray were all significantly associated with mortality. Anaemia was associated with an unsuccessful outcome (p=0.049) and mortality (p=0.048) in the multiple logistic regression analysis. Early treatment initiation, improved nutrition and anaemia, and regular monitoring can all improve RR/MDR-TB patients' outcomes and prognoses.

Impact of COVID-19 restrictive measures on income and health service utilization of tuberculosis patients in India

BACKGROUND

The nationwide lockdown (March 25 to June 8, 2020) to curb the spread of coronavirus infection had significant health and economic impacts on the Indian economy. There is limited empirical evidence on how COVID-19 restrictive measures may impact the economic welfare of specific groups of patients, e.g., tuberculosis patients. We provide the first such evidence for India.

METHODS

A total of 291 tuberculosis patients from the general population and from a high-risk group, patients from tea garden areas, were interviewed at different time points to understand household income loss during the complete lockdown, three and eight months after the complete lockdown was lifted. Income loss was estimated by comparing net monthly household income during and after lockdown with prelockdown income. Tuberculosis service utilization patterns before and during the lockdown period also were examined. Household income loss, travel and other expenses related to tuberculosis drug pickup were presented in 2020 US dollars (1 US$ = INR 74.132).

RESULTS

26% of households with tuberculosis patients in tea garden areas and 51% of households in the general population had zero monthly income during the complete lockdown months (April-May 2020). Overall income loss slowly recovered during July-August compared to April-May 2020. Approximately 7% of patients in the general population and 4% in tea garden areas discontinued their tuberculosis medicines because of the complete lockdown.

CONCLUSION

Discontinuation of medicine will have an additional burden on the tuberculosis elimination program in terms of additional cases, including multidrug resistant tuberculosis cases. Income loss for households and poor restoration of income after the lockdown will likely have an impact on the nutrition of tuberculosis patients and families. Tuberculosis patients working in the informal sector were the worst affected group during the nationwide lockdown. This emphasizes that a policy priority must continue to protect those working in informal sectors from the economic consequences of such restrictive measures, including paid sick leave, additional food support, and direct benefit transfers. Alongside ensuring widespread access to COVID-19 vaccines, these policy actions remain pivotal in ensuring the well-being of those who are unfortunate enough to be living with tuberculosis.

A modeling-based proposal for safe and efficacious reintroduction of bedaquiline after dose interruption: A population pharmacokinetics study

Bedaquiline (BDQ) is recommended for treatment of multidrug-resistant tuberculosis (MDR-TB) for the majority of patients. Given its long terminal half-life and safety concerns, such as QTc-prolongation, re-introducing BDQ after multiple dose interruption is not intuitive and there are currently no existing guidelines. In this simulation-based study, we investigated different loading dose strategies for BDQ re-introduction, taking safety and efficacy into account. Multiple scenarios of time and length of interruption as well as BDQ re-introduction, including no loading dose, 1- and 2-week loading doses (200 mg and 400 mg once daily), were simulated from a previously published population pharmacokinetic (PK) model describing BDQ and its main metabolite M2 PK in patients with MDR-TB. The efficacy target was defined as 95.0% of the average BDQ concentration without dose interruption during standard treatment. Because M2 is the main driver for QTc-prolongation, the safety limit was set to be below the maximal average M2 metabolite concentration in a standard treatment. Simulations suggest that dose interruptions between treatment weeks 3 and 72 (interruption length: 1 to 6 weeks) require a 2-week loading dose of 200 mg once daily in the typical patient. If treatment was interrupted for longer than 8 weeks, a 2-week loading dose (400 mg once daily) was needed to reach the proposed efficacy target, slightly exceeding the safety limit. In conclusion, we here propose a strategy for BDQ re-introduction providing guidance to clinicians for safe and efficacious BDQ dosing.

Optimized loading dose strategies for bedaquiline when restarting interrupted drug-resistant tuberculosis treatment

Interruption of treatment is common in drug-resistant tuberculosis patients. Bedaquiline has a long terminal half-life therefore, restarting after an interruption without a loading dose could increase the risk of suboptimal treatment outcome and resistance development. We aimed to identify the most suitable loading dose strategies for bedaquiline restart after an interruption. A model-based simulation study was performed. Pharmacokinetic profiles of bedaquiline and its metabolite M2 (associated with QT-prolongation) were simulated for 5000 virtual patients for different durations and starting points of treatment interruption. Weekly bedaquiline area under the concentration-time curve (AUC) and M2 maximum concentration (Cmax) deviation before interruption and after reloading were assessed to evaluate the efficacy and safety respectively of the reloading strategies. Bedaquiline weekly AUC and M2 Cmax deviation were mainly driven by the duration of interruption and only marginally by the starting point of interruption. For interruptions with a duration shorter than two weeks, no new loading dose is needed. For interruptions with durations between two weeks and one month, one month and one year, and longer than one year, reloading periods of three days, one week, and two weeks, respectively, are recommended. This reloading strategy results in an average bedaquiline AUC deviation of 1.88% to 5.98% compared with -16.4% to -59.8% without reloading for interruptions of two weeks and one year respectively, without increasing M2 Cmax. This study presents easy-to-implement reloading strategies for restarting a patient on bedaquiline treatment after an interruption.

Between Curing and Torturing: Burden of Adverse Reaction in Drug-Resistant Tuberculosis Therapy

Drug-resistant tuberculosis (DR-TB) requires prolonged and complex therapy which is associated with several adverse drug reactions (ADR). The burden of ADR can affect the quality of life (QoL) of patients that consists of physical, mental, and social well-being, and influences the beliefs and behaviors of patient related to treatment. This article reviews the burden of ADR and its association with QoL and adherence. We used PubMed to retrieve the relevant original research articles written in English from 2011 to 2021. We combined the following keywords: "tuberculosis," "Drug-resistant tuberculosis," "Side Effect," "Adverse Drug Reactions," "Adverse Event," "Quality of Life," "Adherence," "Non-adherence," "Default," and "Loss to follow-up." Article selection process was unsystematic. We included 12 relevant main articles and summarized into two main topics, namely, 1) ADR and QoL (3 articles), and 2) ADR and therapy adherence (9 articles). The result showed that patients with ADR tend to have low QoL, even in the end of treatment. Although it was torturing, the presence of ADR does not always result in non-adherence. It is probably because the perception about the benefit of the treatment dominates the perceived barrier. In conclusion, burden of ADR generally tends to degrade QoL of patients and potentially influence the adherence. A comprehensive support from family, community, and healthcare provider is required to help patients in coping with the burden of ADR. Nevertheless, the regimen safety and efficacy improvement are highly needed.

Does optimized adherence support improve treatment outcomes in RR / MDR-TB patients on 18-20 months regimen in Tbilisi, Georgia?

INTRODUCTION

Adherence to second-line antituberculosis drug is challenging. A combination of strategies needs to be implemented to achieve adherence. In Georgia an optimized adherence support (OAS) - a package of education, psychosocial support and adherence counselling - was added to the already existing package of adherence support (supervised treatment, adherence incentives, transport cost reimbursement) to improve adherence and increase treatment success. We assessed the additive benefits of OAS on adherence and treatment outcomes.

METHODOLOGY

This was a before and after cohort study using routine programme data in the National Center for Tuberculosis and Lung Diseases in Tbilisi. All adult rifampicin- and multidrug-resistant tuberculosis (RR/MDR-TB) patients enrolled for treatment under directly observed therapy in the NCTLD during the period before (June 2015 - January 2016) and after (June 2017 - January 2018) were included in the study. Primary outcomes were: i) adequate adherence defined as ≥ 85% of days covered by TB medication during the whole treatment period; ii) final treatment outcomes.

RESULTS

Of 221 RR/MDR-TB, most patients were male (76%, N = 167) with a mean age of 41 ± 14 years. Adherence data was available for 111 patients in the 'before' and 97 patients in the 'after' cohort. Adequate adherence was achieved by 62% (69/111) in the 'before' and 70% (68/97) in the 'after' cohort (p = 0.290). Overall treatment success was 64% (73/114) and 63% (67/107) in the 'before' and 'after' cohorts respectively (p = 0.937).

CONCLUSIONS

Implementation of OAS had modest effect on adherence and had no additive benefits on treatment outcomes among RR/MDR-TB patients on 18-20 months regimen.

Prediction of potential drug interactions between repurposed COVID-19 and antitubercular drugs: an integrational approach of drug information software and computational techniques data

Introduction:

Tuberculosis is a major respiratory disease globally with a higher prevalence in Asian and African countries than rest of the world. With a larger population of tuberculosis patients anticipated to be co-infected with COVID-19 infection, an ongoing pandemic, identifying, preventing and managing drug–drug interactions is inevitable for maximizing patient benefits for the current repurposed COVID-19 and antitubercular drugs.

Methods:

We assessed the potential drug–drug interactions between repurposed COVID-19 drugs and antitubercular drugs using the drug interaction checker of IBM Micromedex®. Extensive computational studies were performed at a molecular level to validate and understand the drug–drug interactions found from the Micromedex drug interaction checker database at a molecular level. The integrated knowledge derived from Micromedex and computational data was collated and curated for predicting potential drug–drug interactions between repurposed COVID-19 and antitubercular drugs.

Results:

A total of 91 potential drug–drug interactions along with their severity and level of documentation were identified from Micromedex between repurposed COVID-19 drugs and antitubercular drugs. We identified 47 pharmacodynamic, 42 pharmacokinetic and 2 unknown DDIs. The majority of our molecular modelling results were in line with drug–drug interaction data obtained from the drug information software. QT prolongation was identified as the most common type of pharmacodynamic drug–drug interaction, whereas drug–drug interactions associated with cytochrome P450 3A4 (CYP3A4) and P-glycoprotein (P-gp) inhibition and induction were identified as the frequent pharmacokinetic drug–drug interactions. The results suggest antitubercular drugs, particularly rifampin and second-line agents, warrant high alert and monitoring while prescribing with the repurposed COVID-19 drugs.

Conclusion:

Predicting these potential drug–drug interactions, particularly related to CYP3A4, P-gp and the human Ether-à-go-go-Related Gene proteins, could be used in clinical settings for screening and management of drug–drug interactions for delivering safer chemotherapeutic tuberculosis and COVID-19 care. The current study provides an initial propulsion for further well-designed pharmacokinetic-pharmacodynamic-based drug–drug interaction studies.

Plain Language Summary

National treatment outcome and predictors of death and treatment failure in multidrug-resistant tuberculosis in Ethiopia: a 10-year retrospective cohort study

OBJECTIVES

Treatment success rate in patients treated for multidrug-resistant tuberculosis (MDR-TB) is low, but predictors of treatment failure and death have been under-reported. Thus, we aimed to determine the national proportion of treatment success rate in the past 10 years and factors that predict treatment failure and death in patients with MDR-TB in Ethiopia.

SETTING

A retrospective cohort study with a 10-years follow-up period was conducted in 42 MDR-TB treatment-initiating centres in Ethiopia.

PARTICIPANTS

A total of 3395 adult patients with MDR-TB who had final treatment outcome and who were treated under national TB programme were included. Data were collected from clinical charts, registration books and laboratory reports. Competing risk survival analysis model with robust standard errors (SE) was used to determine the predictors of treatment failure and death.

PRIMARY AND SECONDARY OUTCOMES

Treatment outcome was a primary outcome whereas predictors of treatment failure and death were a secondary outcome.

RESULTS

The proportion of treatment success was 75.7%, death rate was 12.8%, treatment failure was 1.7% and lost to follow-up was 9.7%. The significant predictors of death were older age (adjusted hazard ratio (AHR)=1.03; 95% CI 1.03 to 1.05; p<0.001), HIV infection (AHR=2.0; 95% CI 1.6 to 2.4; p<0.001) and presence of any grade of anaemia (AHR=1.7; 95% CI 1.4 to 2.0; p<0.001). Unlike the predictors of death, all variables included into multivariable model were not significantly associated with treatment failure.

CONCLUSION

In the past 10 years, although MDR-TB treatment success in Ethiopia has been consistently favourable, the proportion of patients who died is still considerable. Death could be attributed to advanced age, HIV infection and anaemia. Prospective cohort studies are necessary to further explore the potentially modifiable predictors of treatment failure.

Treatment outcomes among multidrug-resistant TB patients in Bahawal Victoria Hospital, Bahawalpur, Pakistan: a retrospective record review

BACKGROUND

This study aims to evaluate the treatment outcomes and factors associated with unsuccessful treatment outcomes among multidrug-resistant TB (MDR-TB) patients.

METHOD

This was a retrospective observational study conducted at the Bahawal Victoria Hospital, Bahawalpur, Pakistan. The sociodemographic, clinical and treatment-related data of MDR-TB patients registered at the study site between June 2014 and December 2016 were retrospectively collected. Patients' treatment outcomes were categorized on the basis of WHO-recommended criteria. Multivariate binary logistic regression analysis was used to find the independent factors associated with unsuccessful treatment outcomes.

RESULTS

Out of 179 MDR-TB patients, 106 (59.2%) completed their treatment successfully. The remaining 73 patients (40.8%) had unsuccessful treatment outcomes, among whom 45 (25.1%) died, while 18 (10.1%) were lost to follow-up. Factors associated with unsuccessful treatment outcomes included age ≥40 y (AOR 4.310; p = 0.006), unsuccessful interim treatment outcomes (AOR 5.810; p = 0.032), occurrence of adverse events (AOR 0.290; p = 0.029) and ofloxacin resistance (AOR 2.952; p = 0.042).

CONCLUSION

The treatment success rate among the selected cohort of MDR-TB patients was less than the target of ≥75% set by the WHO in the End TB Strategy. The lower treatment success rate at the study site requires urgent attention from clinicians and program managers.

Lost to follow-up and associated factors among patients with drug resistant tuberculosis in Ethiopia: A systematic review and meta-analysis

BACKGROUND

One third of global antmicrobial resistance deaths are attributed to drug resistant tuberculosis. Lost to follow-up is one of the causes of the development of acquired drug resistant tuberculosis. There is a gap in nationally representative reliable information on lost to follow-up among patients with drug-resistant tuberculosis in Ethiopia.

OBJECTIVE

To estimate the pooled prevalence and associated factors of lost to follow-up among patients with drug resistant tuberculosis in Ethiopia.

METHODS

Observational studies searched from PubMed, HINARI and CINAHL were screened for eligibility. After assessing the quality of studies, data were extracted using a checklist. Heterogeneity was assessed using forest plot, Q and I2. The random effects meta-analysis model was employed to pull the prevalence of lost to follow-up. Sub-group analysis and meta regression were performed to identify the sources of heterogeneity. Publication bias was assessed using funnel plots with Egger's and Begg's tests. Sensitivity analysis was performed to assess the influence of individual studies on the overall estimate. The odds ratios were used to measure associations.

RESULTS

The review was performed among 11 studies of which 9 were cohort studies. The sample sizes ranged from 90 to 612 and comprised a total of 3,510 participants. The pooled prevalence of lost to follow-up was 8.66% (95% CI, 5.01-13.14) with a high heterogeneity (I2 = 93.49%, p<0.001). Pulmonary multi-drug resistant tuberculosis patients were 50% less likely to loss from follow-up compared to extra pulmonary tuberculosis patients.

CONCLUSION

There was a high prevalence of lost to follow-up among multi-drug resistant tuberculosis patients in Ethiopia. Anatomical site of tuberculosis was a significant factor affecting lost to follow-up. Strengthening the health care system and patient education should be given a due emphasis.

REGISTRATION NUMBER

CRD42020153326; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=153326.

Utility of Point of Care and Rapid Diagnostics in Humanitarian Emergencies

Background

In 2019, there were 70.8 million forcibly displaced people worldwide. Among the top causes of morbidity and mortality were measles, diarrhea, respiratory illness, and malaria. Availability of accurate diagnostics that are of low complexity, affordable, and produce timely results on site without the need for expensive laboratory equipment, extensive training, or distant transport of samples, are essential tools in the response to humanitarian emergencies (HE). Early detection of infectious diseases with epidemic potential and coordinated outbreak response, can result in significant decrease in morbidity and mortality.

Content

This review explores the utility of point of care and rapid diagnostic tests (POCT/RDTs) in HE and presents a review and analysis of the low complexity, availability, and ease of use of these diagnostic modalities that make them helpful tools in these settings, despite the generally lower test performance metrics associated with them over conventional laboratory-based assays. We review the literature to understand how POCT/RDTs have been used in HE response to produce lifesaving information without the need for a robust system for transporting test samples to more sophisticated laboratories, as this is often prohibitive in areas affected by conflict or natural disasters.

Summary

We propose that POCT/RDTs be considered essential healthcare tools provided to countries following a HE and suggest that UN agencies and vulnerable countries include effective RDTs in their essential diagnostics as part of their national preparedness and response plans.

Survival status and its predictors among multi-drug resistance tuberculosis treated patients in Ethiopia: Multicenter observational study

BACKGROUND

Although substantial progress has been made in combating the crisis of multi-drug resistance tuberculosis (MDR-TB), it remained the major public health threat globally.

OBJECTIVE

To assess patients' survival and its predictors among patients receiving multi-drug resistance tuberculosis treatment at MDR-TB treatment centers of southern and southwestern Ethiopia.

METHODS

A multicenter retrospective observational study was conducted from April 14 to May 14, 2019, among patients receiving MDR-TB treatment at three MDR-TB treatment centers, Butajira, Arbaminch and Shenengibe Hospitals, located in south and southwestern Ethiopia. A total of 200 records were reviewed using a check list adopted from the national MDR-TB treatment charts and other relevant documents. Data were entered into Epi-Data version 4.2.0 for cleaning and exported to STATA-13 for analysis. Descriptive analysis was carried out and results were presented by text, tables, and charts. Kaplan-Meier (log-rank test) and Cox regression were used to compare baseline survival experience and to determine predictors of patients' survival (death), respectively. The adjusted hazard ratio (AHR) was used to measure the strength of association and a p-value of <0.05 was considered to declare statistical significance.

RESULTS

Of 200 patients, 108 (54%) of them were males. The mean (+ standard deviation) age of the study population was 32.9±9.5years. During follow-up, 22 (11%) deaths were reported. The overall incidence density of death was 11.99, 95% CI [7.89-18.21] per 100,000person-years. The median (interquartile range (IQR)) survival time was 375(249-457) days. Comorbidity (AHR = 23.68, 95% CI [4.85-115.46]), alcohol consumption (AHR = 4.53, 95% CI [1.21-16.97]), and history of poor adherence (AHR = 12.27, 95% CI [2.83-53.21]) were independently associated with patients' survival (death).

CONCLUSION

In this study, the incidence density of mortality was very high. Alcohol consumption, poor adherence, and the presence of comorbidity were independently associated with death. Hence, alcohol users, patients with comorbidity and poor adherence should be given due attention during therapy.

All nonadherence is equal but is some more equal than others? Tuberculosis in the digital era

Adherence to treatment for tuberculosis (TB) has been a concern for many decades, resulting in the World Health Organization's recommendation of the direct observation of treatment in the 1990s. Recent advances in digital adherence technologies (DATs) have renewed discussion on how to best address nonadherence, as well as offering important information on dose-by-dose adherence patterns and their variability between countries and settings. Previous studies have largely focussed on percentage thresholds to delineate sufficient adherence, but this is misleading and limited, given the complex and dynamic nature of adherence over the treatment course. Instead, we apply a standardised taxonomy - as adopted by the international adherence community - to dose-by-dose medication-taking data, which divides missed doses into 1) late/noninitiation (starting treatment later than expected/not starting), 2) discontinuation (ending treatment early), and 3) suboptimal implementation (intermittent missed doses). Using this taxonomy, we can consider the implications of different forms of nonadherence for intervention and regimen design. For example, can treatment regimens be adapted to increase the "forgiveness" of common patterns of suboptimal implementation to protect against treatment failure and the development of drug resistance? Is it reasonable to treat all missed doses of treatment as equally problematic and equally common when deploying DATs? Can DAT data be used to indicate the patients that need enhanced levels of support during their treatment course? Critically, we pinpoint key areas where knowledge regarding treatment adherence is sparse and impeding scientific progress.

Treatment interruption patterns and adverse events among patients on bedaquiline containing regimen under programmatic conditions in India

BACKGROUND

The study aimed to analyze frequency and severity of adverse events (AEs) and other reasons for interruption of treatment and loss to follow up (LTFU) during first six months of treatment among tuberculosis patients on bedaquiline containing regimens.

METHODS

This pilot exploratory observational study included 275 patients enrolled consecutively over two years who received bedaquiline containing regimen under programmatic conditions in India.

RESULTS

Among 275 patients with median age of 25 years, 86 (31.3%) patients had at least one interruption with 122 total episodes of interruption. Among these 70 were temporary, 35 were permanent interruptions and 17 were LTFU. The AEs due to drugs were the commonest reason for interruption observed in 81.4% of temporary interruption group and 97.1% of permanent interruption group. Among a total 192 adverse event episodes, (49.5%) were minor (grade 1-2) and (50.5%) were serious (grade 3-5). Personal factors were the commonest reason for interruption observed in LTFU (94.1%) group. The most common temporarily interrupted drug was bedaquiline in 8.7% and permanently stopped drug was linezolid in 5% of patients.

CONCLUSIONS

Our study observed that drug related AEs are important risk factors associated with treatment interruptions in bedaquiline containing regimens. Bedaquiline is the most common temporarily interrupted drug due to AEs.

Tuberculosis Treatment Facilitated by Lipid Nanocarriers: Can Inhalation Improve the Regimen?

Tuberculosis (TB) remains a major global health problem. Conventional treatments fail either because of poor patient compliance with the drug regimen or due to the emergence of multidrug-resistant TB. Thus, not only has the discovery of new compounds and new therapeutic strategies been the focus of many types of research but also new routes of administration. Pulmonary drug delivery possesses many advantages, including the noninvasive route of administration, low metabolic activity, and control environment for systemic absorption, and avoids first-pass metabolism. The use of lipid nanocarriers provides several advantages such as protection of the compound's degradation, increased bioavailability, and controlled drug release. In this study, we review some points related to how the use of lipid nanocarriers can improve TB treatment with inhaled nanomedicines. This review also discusses the current approaches and formulations developed to achieve optimal pulmonary drug delivery systems with nanocarriers targeting alveolar macrophages.

Treatment interruption and associated factors among patients registered on drug-resistant tuberculosis treatment in Amhara regional state, Ethiopia: 2010-2017

BACKGROUND

Drug-Resistant Tuberculosis (DR-TB) is a rising threat of the TB control program caused mainly by treatment interruption in Ethiopia. The success of the current treatment regimen for DR-TB is poor partly due to a high treatment interruption rate. Thus, this study assessed treatment interruption and associated factors among DR-TB patients.

METHODS

An institution-based cross-sectional study was conducted among 550 DR-TB patients who have initiated treatment from September 2010 to December 2017. Data were entered using Epi Data version 4.200 and exported to STATA version 14 for analysis. A bi-variable logistic regression model was first fitted, and variables having a p-value < 0.2 in the bi-variable analysis were entered into the multivariable logistic regression model. Crude and Adjusted Odds Ratios (COR and AOR) with 95% confidence interval (CI) were used to determine the strength of association between the treatment interruption and independent variables. Variables with p-value <0.05 in the multi-variable model were considered as statistically significant predictors of treatment interruption.

RESULTS

In this study, the prevalence of treatment interruption among patients registered on DR-TB treatment was 14.55% (95% CI: 11.83, 17.76). Of the interrupters, the treatment interruption during the intensive and continuation phase of treatment was reported as 45% and 71.25%, respectively. Similarly, about 15% of patients had treatment interruption both during the intensive and continuation phase of treatment. The average duration of treatment interruption was 12 (±2.03 SD) and 6 (±1.2 SD) days during the intensive and continuation phase of treatment, respectively. Patients who had no treatment supporter [AOR = 1.45; 95% CI: 1.23-3.66] and developed adverse drug events [AOR = 1.60; 95% CI: 1.22-2.85] were statistically significant predictors of treatment interruption.

CONCLUSIONS

Treatment interruption was low in the study setting. The presence of treatment supporter and absence of drug side effects was significantly associated with decreased occurrence of treatment interruption. Thus, patient linkage to treatment supporter and excellent pharmacovigilance are highly recommended in the study setting.

Poor treatment outcome and its predictors among drug-resistant tuberculosis patients in Ethiopia: A systematic review and meta-analysis

OBJECTIVE

To assess poor treatment outcomes and their predictors among drug-resistant tuberculosis patients treated in Ethiopia.

METHODS

Data were searched from both electronic databases and other sources. From the whole search, 404 articles were reviewed and 17 articles that fulfilled the inclusion criteria were included in the analysis. Preferred Reporting Items for Systematic Reviews and Meta-Analyses checklist was followed and Joanna Briggs Institute Critical Appraisal checklist was used for assessing the quality. Risk of bias was assessed using forest plot and Egger's regression test. Data were analyzed using STATA version 15 and Review Manager Software version 5.3.

RESULTS

The overall pooled proportion of poor treatment outcome and mortality was 17.86% and 15.13% respectively. The incidence density rate of poor treatment outcome and mortality was 10.41/1000 person-months and 9.28/1000 person-months respectively. Survival status and successful treatment outcomes were 76.97% and 63.82% respectively. HIV positivity, non-HIV comorbidities, clinical complications, extrapulmonary involvement, undernutrition, anemia, treatment delay, lower body weight, and older age were the predictors of poor treatment outcome.

CONCLUSION

Better survival and treatment success rates were noted in Ethiopia as compared to the global average. The majority of the poor treatment outcomes occurred within the intensive phase. Early initiation of anti-tuberculosis treatment would be important for successful treatment outcomes.