Treatment default amongst patients with tuberculosis in urban Morocco: predicting and explaining default and post-default sputum smear and drug susceptibility results

Impact of pyrazinamide usage on serious adverse events in elderly tuberculosis patients: A multicenter cohort study

BACKGROUND

Pyrazinamide (PZA) usage has been associated with adverse drug reactions, prompting its avoidance in treating elderly tuberculosis (TB) patients. This study aims to examine whether the administration of PZA is associated with poor outcomes during TB treatment among elderly individuals.

METHODS

A retrospective analysis was undertaken on data collected from a prospective cohort conducted between July 2019 and June 2023, which involved tuberculosis patients from 18 institutions across the Republic of Korea. The study aimed to assess the impact of PZA on the incidence of serious adverse events (SAEs), medication interruptions, and becoming loss to follow-up (LTFU) during standard short courses of TB treatment in elderly (≥65 years old) patients.

RESULTS

PZA was administered to 356 of 390 elderly patients (91.3%), and 98 of the 390 (25.1%) experienced SAEs. Treatment success was significantly lower in patients not treated with PZA compared to those who received PZA (64.7% vs 89.9%, p < 0.001). The incidence of SAEs, medication interruption, or LTFU was higher in patients not given PZA compared those who received PZA (52.9% vs. 27.2%, p = 0.002). A multivariate logistic regression analysis, factoring in covariates such as age, comorbidities, and baseline laboratory data, revealed that PZA was not a risk factor for SAEs, medication interruption, or LTFU in TB treatment (odds ratio [OR] 0.457, 95% confidence interval [CI] 0.201-1.041).

CONCLUSION

Treating elderly TB patients with PZA did not increase the incidence of SAEs, medication interruptions, or LTFU during the standard short course of TB treatment. Therefore, considering its potential advantages, incorporating PZA into the treatment regimen for elderly TB patients may be advisable.

Assessment of Non-Adherence to Anti-TB Drugs and Associated Factors Among Patients Attending TB Treatment Centers During COVID-19 Pandemic in Mogadishu, Somalia: A Cross-Sectional Study

Background

The COVID-19 pandemic's first wave and subsequent lockdowns disrupted global healthcare systems, significantly impacting essential services including tuberculosis (TB) care. Non-adherence to anti-TB drugs is a critical concern, leading to treatment failure, drug resistance, and increased morbidity and mortality. This study assessed the rate and determinants of non-adherence to TB treatment among patients at TB centers during the first wave of the pandemic.

Material and Methods

A cross-sectional study was conducted from June 15 to July 30, 2020, involving 255 TB patients at three centers in Mogadishu. Data were gathered using the Morisky Medication Adherence Scale-8 (MMAS-8) through structured interviews and analyzed using descriptive statistics and binary logistic regression.

Results

The study found a 34.5% non-adherence rate during the pandemic. Key reasons for non-adherence included forgetting to take medication (33%), feeling well (29%), experiencing side effects (18%), and fear of contracting COVID-19 (16%). Significant factors associated with non-adherence were age groups 25-34 years (OR = 2.96, p = 0.024) and 35-44 years (OR = 4.55, p = 0.005), unemployment (OR = 2.57, p = 0.037), smoking (OR = 3.49, p = 0.029), tobacco use (OR = 4.15, p = 0.034), proximity to a health facility (OR = 0.44, p = 0.033), perception of healthcare providers as very friendly (OR = 0.24, p = 0.031) or friendly (OR = 0.45, p = 0.023), being in the continuous treatment phase (OR = 3.2, p < 0.001), and experiencing adverse treatment effects (OR = 2.42, p = 0.003).

Conclusion

Non-adherence to anti-tuberculosis treatment was notably high in Mogadishu during the first wave of the pandemic, necessitating targeted interventions to improve adherence.

Adherence to treatment in pulmonary tuberculosis: Rodgers' evolutionary concept analysis

Background

Adherence to treatment is essential for the management of pulmonary tuberculosis. Nurses and healthcare professionals play a significant role in promoting adherence behavior among this population. Nevertheless, defining adherence to treatment within this particular population remains complex.

Objective

This study aimed to explore and clarify the concept of adherence to treatment among individuals with pulmonary tuberculosis.

Methods

Rodgers' evolutionary concept analysis was employed in this study. A literature search was conducted in the PubMed and Scopus databases to identify relevant studies published between July 2013 and July 2023.

Results

The attributes of adherence to treatment in pulmonary tuberculosis consist of multiple components: biological, individual, social, health service, and policy-making processes. Antecedents include various patient-related factors as well as factors associated with clinical conditions and patient-health professional engagement. Three consequences of the concept have emerged: enhanced treatment efficacy, increased commitment to tuberculosis treatment adherence, and improved health service quality.

Conclusion

This study provides a comprehensive operational definition of adherence to tuberculosis treatment, including its attributes, antecedents, and consequences. This framework will assist nurses in evaluating adherence more effectively. However, further research into the experiences of individuals adhering to tuberculosis treatment is needed to confirm and enhance these strategies.

Effect of smoking cessation interventions on abstinence and tuberculosis treatment outcomes among newly diagnosed patients: a randomized controlled trial

The study evaluates the effectiveness of smoking cessation interventions [Behavioral Change Communication (BCC) and Behavioral Change Communication plus bupropion (BCC+)] compared to conventional Directly Observed Therapy Short Course (DOT) treatment in improving pulmonary tuberculosis treatment outcomes and abstinence among newly diagnosed pulmonary tuberculosis (PTB) patients, highlighting the scarcity of robust experimental studies. The current randomized controlled trial, conducted at Ojha Institute of Chest Diseases between October 2017 and June 2019, randomized 292 patients who were current smokers with newly diagnosed pulmonary tuberculosis into three arms: control (n = 97), BCC (n = 97), and BCC+ (n = 98) arms. The outcomes of the interventions were compared in terms of favorable treatment outcomes and abstinence achieved at the end of 6 months. Baseline characteristics were compared between groups. Cox regression quantified the effect size of interventions for both outcome variables and reported as (crude and adjusted) hazard ratios with 95% confidence intervals (CI). No statistically significant difference was observed in baseline characteristics in each arm. Both BCC+ and BCC showed a statistically significant effect in achieving favorable PTB outcomes at 6 months (aHR 2.37, 95% CI 1.52-3.70 and aHR 2.34, 95% CI 1.51-3.60), as well as for abstinence from smoking at 6 months (BCC+: aHR 4.03, 95% CI 2.18-7.44 and BCC: aHR 3.87, 95% CI 2.12-7.05) compared to the control arm. Both BCC and BCC+ aided by pharmacologic agents such as bupropion when incorporated with conventional DOTs were found to be significantly effective in attaining favorable tuberculosis treatment outcomes as well as in attaining smoking abstinence at the end of the 6-month treatment.

This study shows that adding smoking cessation programs (with or without extra drugs like bupropion) to standard Directly Observed Treatment Short Course (DOTs) treatment for people who have recently been diagnosed with pulmonary tuberculosis has a great positive impact on how well the overall antituberculosis treatment works. Our trial shows very promising results for such a combined therapy (DOTs and smoking cessation) in a country where the burden of both tuberculosis and smoking is very high.

Is Tobacco Use Associated With Risk of Recurrence and Mortality Among People With TB?: A Systematic Review and Meta-Analysis

BACKGROUND

Associations between tobacco use and poor TB treatment outcomes are well documented. However, for important outcomes such as TB recurrence or relapse and mortality during treatment, as well as for associations with smokeless tobacco (ST), the evidence is not summarized systematically.

RESEARCH QUESTION

Is tobacco use associated with risk of poor treatment outcomes among people with TB?

STUDY DESIGN AND METHODS

The MEDLINE, Embase, and Cumulative Index of Nursing and Allied Health Literature databases were searched on November 22, 2021. Epidemiologic studies reporting associations between tobacco use and at least one TB treatment outcome were eligible. Independent double-screening, extractions, and quality assessments were undertaken. Random effects meta-analyses were conducted for the two primary review outcomes (TB recurrence or relapse and mortality during treatment), and heterogeneity was explored using subgroups. Other outcomes were synthesized narratively.

RESULTS

Our searches identified 1,249 records, of which 28 were included in the meta-analyses. Based on 15 studies, higher risk of TB recurrence or relapse was found with ever using tobacco vs never using tobacco (risk ratio [RR], 1.78; 95% CI, 1.31-2.43; I2 = 85%), current tobacco use vs no tobacco use (RR, 1.95; 95% CI, 1.59-2.40; I2 = 72%), and former tobacco use vs never using tobacco (RR, 1.84; 95% CI, 1.21-2.80; I2 = 4%); heterogeneity arose from differences in study quality, design, and participant characteristics. Thirty-eight studies were identified for mortality, of which 13 reported mortality during treatment. Ever tobacco use (RR, 1.55; 95% CI, 1.32-1.81; I2 = 0%) and current tobacco use (RR, 1.51; 95% CI, 1.09-2.10; I2 = 87%) significantly increased the likelihood of mortality during treatment among people with TB compared with never using tobacco and not currently using tobacco, respectively; heterogeneity was explained largely by differences in study design. Almost all studies in the meta-analyses scored high or moderate on quality assessments. Narrative synthesis showed that tobacco use was a risk factor for other unfavorable TB treatment outcomes, as previously documented. Evidence on ST was limited, but identified studies suggested an increased risk for poor outcomes with its use compared with not using it.

INTERPRETATION

Tobacco use significantly increases the risk of TB recurrence or relapse and mortality during treatment among people with TB, highlighting the need to address tobacco use to improve TB outcomes.

TRIAL REGISTRY

PROSPERO; No.: CRD42017060821; URL: https://www.crd.york.ac.uk/prospero/.

A qualitative exploration of tuberculosis patients who were lost to follow-up in Malaysia

BACKGROUND

Loss to follow-up (LTFU) is an unsuccessful treatment outcome for tuberculosis (TB) patients. In Malaysia, LTFU affects around 1 in 20 TB patients. Integration of qualitative research methods and evidence will provide a better understanding of LTFU and its underlying issues. In this study, we qualitatively explored TB patients' experiences in receiving treatment and their reasons for leaving TB care.

METHOD

In-depth interviews of 15 patients with a history of LTFU were conducted from January to September 2020. Interview guides were developed to explore TB patients' experiences while receiving treatment, including challenges faced and reasons for treatment interruption. Data were thematically analysed using the framework method.

RESULTS

We identified 11 emerging themes that occurred at four levels of interaction with TB patients. First, at the patient personal level, TB beliefs referring to patients' perception of illness and wellness, patients' perceived role of traditional and complementary medicine, and substance abuse were important. Second, the healthcare system and treatment factors that were highlighted included the organisation of care and treatment, interaction with healthcare professionals, particularly in communication and counselling, and TB medications' side effects. Third, structural factors including financial burden, logistical and transportation issues and work-related factors were identified to be barriers to treatment continuation. Fourth, the interpersonal level interaction of patients should not be neglected; this includes family relationships and support as well as peer influence.

CONCLUSION

Study findings put forth issues and challenges faced by TB patients while receiving treatment and underscore areas where actions can be taken. This will contribute to informing the development and implementation of future TB control strategies that are responsive to TB patients' needs and concerns, to effectively address LTFU and ensure better treatment completion rates among TB patients in Malaysia.

Pulmonary tuberculosis case notification and burden of drug resistance among children under 15 years of age in Ethiopia: sub-analysis from third-round drug resistance tuberculosis survey

INTRODUCTION

Data on the burden of bacteriologically confirmed childhood Tuberculosis (PTB) and drug-resistant TB in Ethiopia is limited due to difficulties related to its diagnosis in this population. Therefore, this study aimed to assess bacteriologically confirmed childhood PTB Case Notification Rates (CNRs) and the burden of Drug Resistant-Tuberculosis among children in Ethiopia.

METHOD

Retrospective secondary clinical and laboratory data were obtained from 3rd round national DR-TB survey which was conducted between August 2017 and January 2019. We used IBM SPSS 24 for sub-analysis of 3rd round Drug Resistant-Tuberculosis data. Descriptive statistics were used in computing the association between the sociodemographic characteristics and PTB CNRs, and the strength of the associations was determined using binary logistic regression with Odds ratios (OR) with a 95% confidence interval (CI).

RESULT

Overall, 102 bacteriologically confirmed childhood PTB cases were identified with a median age of 12 (range 1-14) years. Of these, 54 (52.9%) were females and 81 (79.4%) lived in rural areas. HIV-TB co-infection cases were 5/102 (4.3%) and the majority (98%) of cases were newly diagnosed children. Nationally, the incidence of bacteriologically confirmed childhood PTB was calculated to be 5.1 per 100,000 children. The burden of Drug Resistant-Tuberculosis to at least one of the five first-line anti-TB drugs tested was five (6.5%) cases and one (1.3%) was found to be a Multi-drug resistant tuberculosis case. Drug-resistant tuberculosis was significantly associated with the age group 10-14 years (P = 0.002; [AOR] 29.76; [95% CI, 3.51-252.64]) and children living in urban areas (P = 0.027; [AOR] 5.76; 95% CI, 1.22-27.09).

CONCLUSION

Bacteriologically confirmed childhood PTB cases increased as the age of the children increased. Most of the bacteriologically confirmed childhood PTB and the identified drug Resistant-Tuberculosis cases were new cases. Also, rural children were more affected by TB than their urban, counterparts Drug Resistant-Tuberculosis was higher in urban resident children.

A machine learning approach to explore individual risk factors for tuberculosis treatment non-adherence in Mukono district

Despite the availability and implementation of well-known efficacious interventions for tuberculosis treatment by the Ministry of Health, Uganda (MoH), treatment non-adherence persists. Moreover, identifying a specific tuberculosis patient at risk of treatment non-adherence is still a challenge. Thus, this retrospective study, based on a record review of 838 tuberculosis patients enrolled in six health facilities, presents, and discusses a machine learning approach to explore the individual risk factors predictive of tuberculosis treatment non-adherence in the Mukono district, Uganda. Five classification machine learning algorithms, logistic regression (LR), artificial neural networks (ANN), support vector machines (SVM), random forest (RF), and AdaBoost were trained, and evaluated by computing their accuracy, F1 score, precision, recall, and the area under the receiver operating curve (AUC) through the aid of a confusion matrix. Of the five developed and evaluated algorithms, SVM (91.28%) had the highest accuracy (AdaBoost, 91.05% performed better than SVM when AUC is considered as evaluation parameter). Looking at all five evaluation parameters globally, AdaBoost is quite on par with SVM. Individual risk factors predictive of non-adherence included tuberculosis type, GeneXpert results, sub-country, antiretroviral status, contacts below 5 years, health facility ownership, sputum test results at 2 months, treatment supporter, cotrimoxazole preventive therapy (CPT) dapsone status, risk group, patient age, gender, middle and upper arm circumference, referral, positive sputum test at 5 and 6 months. Therefore, machine learning techniques, specifically classification types, can identify patient factors predictive of treatment non-adherence and accurately differentiate between adherent and non-adherent patients. Thus, tuberculosis program management should consider adopting the classification machine learning techniques evaluated in this study as a screening tool for identifying and targeting suited interventions to these patients.

Factors Associated with the Abandonment of Tuberculosis Treatment in Brazil: A Systematic Review

BACKGROUND

Tuberculosis (TB) is a chronic infectious disease caused by Mycobacterium tuberculosis. In Brazil, TB is a public health problem, and the treatment dropout rate contributes to it.

METHODS

This systematic review investigated the factors associated with TB treatment dropout in Brazil using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) method. The databases used were Bireme, Scopus, PubMed, Medline, Pan-American Health Organization (PAHO), and Latin-American and Caribbean Literature on Health Sciences (LILACS). The search was conducted on May 16, 2021. Nine articles were reviewed, and all were published within the last 5 years in English, Spanish, or Portuguese.

RESULTS

The sample sizes in the studies ranged from 148 to 77,212 individuals, and the studies enrolled only adult patients (aged 18-59 years) in Brazil. Evidence suggests that the significant risk factors associated with TB treatment dropout are male sex, black race/ethnicity, age between 19 and 49 years, human immunodeficiency virus (HIV) co-infection, low education (<8 years), use of alcohol and illicit drugs, and unsupervised treatment. This study's limitations were the small number of articles published on this topic with stronger study designs, use of secondary data sources in most articles, and a moderate to high risk of bias in most papers.

CONCLUSIONS

There was a significant association between abandonment of TB treatment and HIV/acquired immunodeficiency syndrome co-infection; socioeconomic factors (low education and homelessness); use of alcohol, tobacco, and illicit drugs; and failure to use directly observed treatment. These results can guide more efficient measures to prevent dropout.

FACTORS CONTRIBUTING TO PULMONARY TB TREATMENT LOST TO FOLLOW-UP IN DEVELOPING COUNTRIES: AN OVERVIEW

Background

Despite the available treatment options, pulmonary tuberculosis (TB) remains a leading cause of disease-related deaths worldwide. Treatment non-adherence/lost to follow-up (LTFU), particularly in developing countries, is a continuous concern. LTFU prolongs TB infectiousness and contributes to TB treatment failure, relapse, and death. Furthermore, LTFU also delays global TB eradication by promoting TB spread and drug-resistant TB strain development.[1] The purpose of this paper is to give an overview of the commonly observed risk factors associated with TB treatment LTFU in developing countries.

Materials and Methods

A literature survey was done of studies published in the past decade, which evaluated the risk factors for LTFU in TB patients, specifically in developing countries. Furthermore, some prospective TB treatment adherence initiatives and the feasibility of these initiatives within developing countries were assessed.[3].

Results

Several variables, including socio-demographic, patient-related, TB disease and other health-related-factors, healthcare and system determinants, as well as treatment-related factors, were identified to increase the risk of TB treatment LTFU. More recently applied adherence interventions in developing countries, show potential for implementation on a larger scale.

Conclusion

Successful TB treatment is contingent on treatment adherence, and by addressing these persisting LTFU risk factors, treatment adherence in developing countries may be improved.

Tuberculosis control at a South African correctional centre: Diagnosis, treatment and strain characterisation

Background

Correctional centres provide ideal conditions for tuberculosis (TB) transmission and disease progression. Despite the high TB incidence and incarceration rate in South Africa, data from South African correctional centres are scarce. Thus, the study evaluated TB diagnosis, treatment initiation and completion, and identified prevalent Mycobacterium tuberculosis strains among detainees entering a South African correctional centre.

Methods

This study was a prospective observational study that enrolled participants between February and September 2017 from a correctional centre located in the Western Cape, South Africa. All adult male detainees who tested positive for TB during admission screening were eligible to participate in the study. Sputum samples from enrolled participants underwent smear microscopy and culture. Strain typing was performed on culture-positive samples. The time between specimen collection and diagnosis, the time between diagnosis and treatment initiation, and the proportion of detainees completing TB treatment at the correctional centre were calculated.

Results

During the study period, 130 TB cases were detected through routine admission screening (126 male, 2 female, 2 juvenile). Out of the 126 eligible male detainees, 102 were enrolled in the study (81%, 102/126). All TB cases were detected within 30 hrs of admission screening. The majority (78%, 80/102) of participants started treatment within 48 hrs of TB diagnosis. However, only 8% (9/102) of participants completed treatment at the correction centre. Sputa from 90 of the 102 participants were available for smear and culture. There was a high smear positivity, with 49% (44/90) of isolates being smear positive. The Beijing family was the most frequent lineage (55.2%) in the study.

Conclusion

The strengths of the current TB control efforts at the correctional centre include rapid detection of cases through admission screening and prompt treatment initiation. However, a high number of detainees exiting before treatment completion highlights the need to strengthen links between correctional TB services and community TB services to ensure detainees complete TB treatment after release and prevent TB transmission.

Characteristics and determinants of loss to follow-up among tuberculosis (TB) patients who smoke in an industrial state of Malaysia: a registry-based study of the years 2013-2017

Background

The increased risk of loss to follow-up among TB smokers raises concern over the secondary spread within the community. This study aimed to determine the factors associated with loss to follow-up among TB patients who smoke.

Methods

All registered TB patients who smoke in the state of Selangor between 2013 and 2017 via the Malaysian Tuberculosis Information System (MyTB) database were included for analysis. TB patients who smoke were considered those who are “current smoker” during the notification, while loss to follow-up was defined as a TB patient who had interrupted treatment for 2 months or longer. There were 3 main variable domains included for analysis: sociodemographic profiles, disease profiles, and comorbidities. Logistic regression analysis was used to identify determinants of loss to follow-up among TB patients who smoke.

Results

A total of 14.1% (N = 813) of TB patients who smoke loss to follow-up. The determinants of loss to follow-up among TB smokers were working age population aged 32-41 and 42-53 years old (AOR 1.08; 95%CI 1.23,2.08) and (AOR 1.44; 95%CI 1.11,1.87) respectively, Malaysian nationality (AOR 2.34; 95%CI 1.66,3.30), patients staying in urban area (AOR 1.55; 95% CI 1.23,1.97), income level less than RM2160 (AOR 1.59; 95% CI 1.14,2.20), un-employed (AOR 1.30; 95%CI 1.09-1.55), have low education level i.e., secondary school education, primary school education and no formal education (AOR 1.60; 95%CI 1.22,2.10), (AOR 1.73; 95%CI 1.16,2.57) and (AOR 2.29; 95% CI 1.57,3.33) respectively, previously treated TB cases (AOR 2.19; 95% CI 1.71,2.81), active TB case detection methods (AOR 2.06; 95%CI 1.40,3.02), moderate lesion x-ray (AOR 1.60; 95%CI 1.13,2.27) and HIV positive (AOR 1.36; 95%CI 1.02,1.82). All the significant factors gave rise to the final model of determinants, with a predictability of 67.2% (95% CI 65.0,69.3).

Conclusions

The high proportion of loss to follow-up among TB patients who smoke highlight the importance of providing early risk detection that examines the three main domains of risk factors such as socioeconomic, disease profiles and comorbidities. Potential integrated intervention should aim to reduce the proportion of smoking among TB patients through the stop smoking programme together with directly observed therapy (DOT).

Improving Treatment Adherence with Integrated Patient Management for TB Patients in Morocco

In Morocco, there are challenges in the management of high-risk tuberculosis (TB) patients, including paper-based management and a shortage of healthcare workers related to TB. Additionally, TB management has not been accounted for in various patient types, which affects treatment adherence. This study aims to examine the delivery model of TB management and the outcomes of an integrated patient management system that uses a patient-centered and community-based approach, along with mobile health technology. A total of 3605 TB patients were enrolled in this program in Morocco’s five prefectures (Rabat, Salé, Kénitra, Khemisset, Skhirat–Témara) from January 2018 to December 2019. Patients were managed based on demographic characteristics, socioeconomic status, areas (rural or urban), health literacy levels, and distance to primary health centers. Our mobile health intervention “smart pillbox” was interposed with high-risk TB patients, along with patient education. The rate of successful treatment was 92.2%, which was higher than the national rate (88%). The “lost to follow-up” rate was 4.1%, which was significantly lower than the existing non-adherence rate of 7.9%. Therefore, integrated patient management for TB patients in Morocco is more effective than the existing conventional programs. This comprehensive approach provides an alternative method for countries with limited resources.

Role of informal healthcare providers in tuberculosis care in low- and middle-income countries: A systematic scoping review

Achieving targets set in the End TB Strategy is still a distant goal for many Low- and Middle-Income Countries (LMICs). The importance of strengthening public-private partnership by engaging all identified providers in Tuberculosis (TB) care has long been advocated in global TB policies and strategies. However, Informal Healthcare Providers (IPs) are not yet prioritised and engaged in National Tuberculosis Programs (NTPs) globally. There exists a substantial body of evidence that confirms an important contribution of IPs in TB care. A systematic understanding of their role is necessary to ascertain their potential in improving TB care in LMICs. The purpose of this review is to scope the role of IPs in TB care. The scoping review was guided by a framework developed by the Joanna Briggs Institute. An electronic search of literature was conducted in MEDLINE, EMBASE, SCOPUS, Global Health, CINAHL, and Web of Science. Of a total 5234 records identified and retrieved, 92 full-text articles were screened, of which 13 were included in the final review. An increasing trend was observed in publication over time, with most published between 2010–2019. In 60% of the articles, NTPs were mentioned as a collaborator in the study. For detection and diagnosis, IPs were primarily involved in identifying and referring patients. Administering DOT (Directly Observed Treatment) to the patient was the major task assigned to IPs for treatment and support. There is a paucity of evidence on prevention, as only one study involved IPs to perform this role. Traditional health providers were the most commonly featured, but there was not much variation in the role by provider type. All studies reported a positive role of IPs in improving TB care outcomes. This review demonstrates that IPs can be successfully engaged in various roles in TB care with appropriate support and training. Their contribution can support countries to achieve their national and global targets if prioritized in National TB Programs.

Development of a nomogram for predicting treatment default under facility-based directly observed therapy short-course in a region with a high tuberculosis burden

Background:

Poor adherence to tuberculosis (TB) treatment is a substantial barrier to global TB control. The aim of this study was to construct a nomogram for predicting the probability of TB treatment default.

Methods:

A total of 1185 TB patients who had received treatment between 2010 and 2011 in Peru were analyzed in this study. Patient demographics, social, and medical information were recorded. Predictors were selected by least absolute shrinkage and selection operator (LASSO) regression analysis, and a nomogram for predicting TB treatment default was constructed by using multivariable logistic regression analysis. Bootstrapping method was applied for internal validation. Calibration and clinical utility of the nomogram was also evaluated.

Results:

The incidence of TB treatment default among the study patients was 11.6% (138/1185). Six predictors (secondary education status, alcohol use, illegal drug use, body mass index, multidrug-resistant tuberculosis, and human immunodeficiency virus serostatus) were selected through the LASSO regression analysis. A nomogram was developed based on the six predictors and it yielded an area under the curve (AUC) value of 0.797 [95% confidence interval (CI), 0.755–0.839]. In the internal validation, the AUC achieved 0.805 (95% CI, 0.759–0.844). Additionally, the nomogram was well-calibrated, and it showed clinical utility in decision curve analysis.

Conclusion:

A nomogram was constructed that incorporates six characteristics of the TB patients, which provides a good reference for predicting TB treatment default.

Systematic review of prediction models for pulmonary tuberculosis treatment outcomes in adults

OBJECTIVE

To systematically review and critically evaluate prediction models developed to predict tuberculosis (TB) treatment outcomes among adults with pulmonary TB.

DESIGN

Systematic review.

DATA SOURCES

PubMed, Embase, Web of Science and Google Scholar were searched for studies published from 1 January 1995 to 9 January 2020.

STUDY SELECTION AND DATA EXTRACTION

Studies that developed a model to predict pulmonary TB treatment outcomes were included. Study screening, data extraction and quality assessment were conducted independently by two reviewers. Study quality was evaluated using the Prediction model Risk Of Bias Assessment Tool. Data were synthesised with narrative review and in tables and figures.

RESULTS

14 739 articles were identified, 536 underwent full-text review and 33 studies presenting 37 prediction models were included. Model outcomes included death (n=16, 43%), treatment failure (n=6, 16%), default (n=6, 16%) or a composite outcome (n=9, 25%). Most models (n=30, 81%) measured discrimination (median c-statistic=0.75; IQR: 0.68-0.84), and 17 (46%) reported calibration, often the Hosmer-Lemeshow test (n=13). Nineteen (51%) models were internally validated, and six (16%) were externally validated. Eighteen (54%) studies mentioned missing data, and of those, half (n=9) used complete case analysis. The most common predictors included age, sex, extrapulmonary TB, body mass index, chest X-ray results, previous TB and HIV. Risk of bias varied across studies, but all studies had high risk of bias in their analysis.

CONCLUSIONS

TB outcome prediction models are heterogeneous with disparate outcome definitions, predictors and methodology. We do not recommend applying any in clinical settings without external validation, and encourage future researchers adhere to guidelines for developing and reporting of prediction models.

TRIAL REGISTRATION

The study was registered on the international prospective register of systematic reviews PROSPERO (CRD42020155782).

'They are inconveniencing us' - exploring how gaps in patient education and patient centred approaches interfere with TB treatment adherence: perspectives from patients and clinicians in the Free State Province, South Africa

BACKGROUND

Tuberculosis (TB) treatment loss to follow up (LTFU) plays an important contributory role to the staggering TB epidemic in South Africa. Reasons for treatment interruption are poorly understood. Treatment interruption appears to be the culmination of poor health literacy of patients and inadequate health education provided by clinicians. We explored clinician and patient perspectives of the gaps in TB messaging that influence TB treatment LTFU.

METHODS

We conducted semi-structured in-depth interviews between January and May 2018 with a sample of 15 clinicians managing TB and 7 patients identified as LTFU in public clinics in the Free State Province, South Africa. Thematic analysis using a mixed deductive/inductive thematic approach was used.

RESULTS

Limited occupational opportunities, fear of disclosure and stigmatization all contributed to treatment LTFU. Patients felt that the TB messaging received was inadequate. Many of the clinicians interviewed felt that improving patient's TB knowledge would reinforce adherence to treatment and thus focused on sharing information on treatment completion, side effects and infection control. However, the inability of clinicians to establish rapport with patients or to identify social support challenged TB treatment adherence by patients. Clinicians perceived this as patients not following their instructions despite what they considered lengthy TB education. Having said this, clinicians concurred that their medical management of TB lacked the psycho-social dimension to treat a social disease of this magnitude.

CONCLUSIONS

Limited occupational opportunities, fear of disclosure and stigmatization all contributed to treatment LTFU. Clinicians concurred that poor patient understanding of TB and that biomedical management lacking a psycho-social dimension further exacerbated the poor treatment outcome. TB remains a social disease, the successful management of which hinges on patient-centred care.

Predictive factors for unfavourable treatment in MDR-TB and XDR-TB patients in Rio de Janeiro State, Brazil, 2000-2016

SETTING

The State of Rio de Janeiro stands out as having the second highest incidence and the highest mortality rate due to TB in Brazil. This study aims at identifying the factors associated with the unfavourable treatment of MDR/XDR-TB patients in that State.

METHOD

Data on 2269 MDR-TB cases reported in 2000-2016 in Rio de Janeiro State were collected from the Tuberculosis Surveillance System. Bivariate and multivariate logistic regressions were run to estimate the factors associated with unfavourable outcomes (failure, default, and death) and, specifically, default and death.

RESULTS

The proportion of unfavourable outcomes was 41.9% among MDR-TB and 81.5% among XDR-TB. Having less than 8 years of schooling, and being an Afro-Brazilian, under 40 years old and drug user were associated with unfavourable outcome and default. Bilateral disease, HIV positive, and comorbidities were associated with death. XDR-TB cases had a 4.7-fold higher odds of an unfavourable outcome, with 29.3% of such cases being not treated for multidrug resistance in the past.

CONCLUSION

About 30% of XDR-TB cases may have occurred by primary transmission. The high rates of failure and death in this category reflect the limitation of treatment options. This highlights the urgency to incorporate new drugs in the treatment.

Inhaled Antibiotics for Mycobacterial Lung Disease

Mycobacterial lung diseases are an increasing global health concern. Tuberculosis and nontuberculous mycobacteria differ in disease severity, epidemiology, and treatment strategies, but there are also a number of similarities. Pathophysiology and disease progression appear to be relatively similar between these two clinical diagnoses, and as a result these difficult to treat pulmonary infections often require similarly extensive treatment durations of multiple systemic drugs. In an effort to improve treatment outcomes for all mycobacterial lung diseases, a significant body of research has investigated the use of inhaled antibiotics. This review discusses previous research into inhaled development programs, as well as ongoing research of inhaled therapies for both nontuberculous mycobacterial lung disease, and tuberculosis. Due to the similarities between the causative agents, this review will also discuss the potential cross-fertilization of development programs between these similar-yet-different diseases. Finally, we will discuss some of the perceived difficulties in developing a clinically utilized inhaled antibiotic for mycobacterial diseases, and potential arguments in favor of the approach.

Factors associated with non-adherence during tuberculosis treatment among patients treated with DOTS strategy in Jayapura, Papua Province, Indonesia

BACKGROUND

Despite the implementation of Directly Observed Treatment Short-course (DOTS) strategy in all public health centers in Papua Province, Indonesia, since 1998, the rate of loss to follow-up (LTFU) during tuberculosis (TB) treatment remains high (above 16%).

OBJECTIVES

We aimed to identify factors associated with non-adherence during TB treatment among patients treated at public health centers (PHCs) in Jayapura, Papua.

METHOD

We conducted a case-control study including new TB patients registered at eight PHCs from 2007 to 2009. Non-adherent cases were TB patients with a history of not taking anti-TB drugs for >2 consecutive weeks or >30 days cumulatively. Controls were randomly selected from patients who completed all doses of TB drugs in time. Data were collected by face-to-face interview using a pre-structured questionnaire and analyzed with logistic regression models.

RESULTS

Data were available for 81 of 103 eligible cases and 183 of 206 eligible controls. Difficult access to healthcare (i.e. reported to have a problem with distance/travel cost and history of moving residence in the past year), lack of TB knowledge (i.e. lack of knowledge about TB transmission and the cause of TB and unawareness of the consequences of stopping TB treatment), and treatment experience (i.e. lack of TB education provided by TB nurse and the use of loose vs. fixed-dose combinations) were associated with non-adherence during TB treatment in the adjusted model, as were being aged under 35 years and having a history of TB in the family.

CONCLUSION

Our results suggest the need to improve TB treatment delivery especially to those who have difficult access to healthcare, and to routinely provide education to increase patients' knowledge about TB and TB treatment. In addition, more attention to younger patients and those with a history of TB in their family is also needed.

Female genital tuberculosis: a clinicopathological report of 13 cases

Female genital tuberculosis (FGTB) is a rare form of tuberculosis (TB) affecting women of reproductive age. The clinical presentation is often misleading. We retrospectively collected cases of female genital tuberculosis (FGTB) diagnosed from 2006 to 2016 at our pathology department. The mean age was 39.92 years (range of 18-74 years). Most patients had reproductive age, with 30.76% postmenopausal women. Seven cases (53.84%) were addressed for histopathological analysis for clinical malignant suspicion. The diagnosis was made on eight surgical specimens (61.53%). Nine patients (69.23%) had multifocal TB. The most involved genital organs were fallopian tubes (63.84%), followed by ovaries (46.15%), endometrium (38.46%) and the cervix (23.07%). The macroscopic aspects of all resected specimens did not show the classic appearance of caseous necrosis. We found that most patients with genital tuberculosis present with clinical suspicion of malignancy leading to aggressive surgical management.

Risk factors for tuberculosis: diabetes, smoking, alcohol use, and the use of other drugs

Tuberculosis continues to be a major public health problem. Although efforts to control the epidemic have reduced mortality and incidence, there are several predisposing factors that should be modified in order to reduce the burden of the disease. This review article will address some of the risk factors associated with tuberculosis infection and active tuberculosis, including diabetes, smoking, alcohol use, and the use of other drugs, all of which can also contribute to poor tuberculosis treatment results. Tuberculosis can also lead to complications in the course and management of other diseases, such as diabetes. It is therefore important to identify these comorbidities in tuberculosis patients in order to ensure adequate management of both conditions.

Feature selection and prediction of treatment failure in tuberculosis

Background

Tuberculosis is a major cause of morbidity and mortality in the developing world. Drug resistance, which is predicted to rise in many countries worldwide, threatens tuberculosis treatment and control.

Objective

To identify features associated with treatment failure and to predict which patients are at highest risk of treatment failure.

Methods

On a multi-country dataset managed by the National Institute of Allergy and Infectious Diseases we applied various machine learning techniques to identify factors statistically associated with treatment failure and to predict treatment failure based on baseline demographic and clinical characteristics alone.

Results

The complete-case analysis database consisted of 587 patients (68% males) with a median (p25-p75) age of 40 (30–51) years. Treatment failure occurred in approximately one fourth of the patients. The features most associated with treatment failure were patterns of drug sensitivity, imaging findings, findings in the microscopy Ziehl-Nielsen stain, education status, and employment status. The most predictive model was forward stepwise selection (AUC: 0.74), although most models performed at or above AUC 0.7. A sensitivity analysis using the 643 original patients filling the missing values with multiple imputation showed similar predictive features and generally increased predictive performance.

Conclusion

Machine learning can help to identify patients at higher risk of treatment failure. Closer monitoring of these patients may decrease treatment failure rates and prevent emergence of antibiotic resistance. The use of inexpensive basic demographic and clinical features makes this approach attractive in low and middle-income countries.

Emergence and selection of isoniazid and rifampin resistance in tuberculosis granulomas

Drug resistant tuberculosis is increasing world-wide. Resistance against isoniazid (INH), rifampicin (RIF), or both (multi-drug resistant TB, MDR-TB) is of particular concern, since INH and RIF form part of the standard regimen for TB disease. While it is known that suboptimal treatment can lead to resistance, it remains unclear how host immune responses and antibiotic dynamics within granulomas (sites of infection) affect emergence and selection of drug-resistant bacteria. We take a systems pharmacology approach to explore resistance dynamics within granulomas. We integrate spatio-temporal host immunity, INH and RIF dynamics, and bacterial dynamics (including fitness costs and compensatory mutations) in a computational framework. We simulate resistance emergence in the absence of treatment, as well as resistance selection during INH and/or RIF treatment. There are four main findings. First, in the absence of treatment, the percentage of granulomas containing resistant bacteria mirrors the non-monotonic bacterial dynamics within granulomas. Second, drug-resistant bacteria are less frequently found in non-replicating states in caseum, compared to drug-sensitive bacteria. Third, due to a steeper dose response curve and faster plasma clearance of INH compared to RIF, INH-resistant bacteria have a stronger influence on treatment outcomes than RIF-resistant bacteria. Finally, under combination therapy with INH and RIF, few MDR bacteria are able to significantly affect treatment outcomes. Overall, our approach allows drug-specific prediction of drug resistance emergence and selection in the complex granuloma context. Since our predictions are based on pre-clinical data, our approach can be implemented relatively early in the treatment development process, thereby enabling pro-active rather than reactive responses to emerging drug resistance for new drugs. Furthermore, this quantitative and drug-specific approach can help identify drug-specific properties that influence resistance and use this information to design treatment regimens that minimize resistance selection and expand the useful life-span of new antibiotics.

Impact of smoking on sputum culture conversion and pulmonary tuberculosis treatment outcomes in Brazil: a retrospective cohort study

OBJECTIVE

To evaluate the impact of smoking on pulmonary tuberculosis (PTB) treatment outcomes and the two-month conversion rates for Mycobacterium tuberculosis sputum cultures among patients with culture-confirmed PTB in an area with a moderate incidence of tuberculosis in Brazil.

METHODS

This was a retrospective cohort study of PTB patients diagnosed and treated at the Thoracic Diseases Institute of the Federal University of Rio de Janeiro between 2004 and 2012.

RESULTS

Of the 298 patients diagnosed with PTB during the study period, 174 were included in the outcome analysis: 97 (55.7%) were never-smokers, 31 (17.8%) were former smokers, and 46 (26.5%) were current smokers. Smoking was associated with a delay in sputum culture conversion at the end of the second month of TB treatment (relative risk = 3.58 &091;95% CI: 1.3-9.86&093;; p = 0.01), as well as with poor treatment outcomes (relative risk = 6.29 &091;95% CI: 1.57-25.21&093;; p = 0.009). The association between smoking and a positive culture in the second month of treatment was statistically significant among the current smokers (p = 0.027).

CONCLUSIONS

In our sample, the probability of a delay in sputum culture conversion was higher in current smokers than in never-smokers, as was the probability of a poor treatment outcome.

Breast tuberculosis: a report of five cases

Background

Breast tuberculosis is a rare form of extrapulmonary tuberculosis with clinical and radiological misleading presentations. We report herein a retrospective study of clinicopathological features of five cases of breast tuberculosis collected at Hassan II University Hospital of Fès, Morocco, a country where tuberculosis is endemic.

Case presentation

The mean age was 40.6 years (range of 21–59 years). Two patients presented with abscessed lesions, and three cases presented with breast lumps with a suspicion of malignancy on imaging techniques. The diagnosis has been made on histological specimens (3 biopsy specimens, 1 excisional biopsy, and 1 lumpectomy). All patients have been successfully treated after the completion of the standard antibiotherapy.

Conclusions

Our current study shows that the breast is rarely affected by tuberculosis even in endemic area. The clinical presentation is often misleading, and the histopathological analysis constitutes a valuable diagnostic tool. The prognosis of breast tuberculosis is good after treatment by a standard antibiotherapy.

Factors associated with interruption of tuberculosis treatment among patients in Nandi County, Kenya 2015

Introduction

Kenya is ranked 15th on the list of 22 high-tuberculosis (TB) burden countries with a case notification rate of 440 cases per 100,000 persons. Interruption of TB treatment is one of the major obstacles to effective TB treatment and control. Since 2009, emphasis has been on direct observation treatment short-course (DOTS) to ensure adherence. This study assessed the factors associated with interruption of treatment among patients on DOTS in Nandi County, Kenya.

Methods

we reviewed medical records and interviewed randomly selected persons from the County TB register, among those initiated on TB treatment between 1st January 2013 and 30th June 2014. Data on socio-demographics, clinical characteristics, behavioral factors, family support, health system factors, income, and lifestyle and treatment interruption (i.e., therapy discontinuation ≥ 2 weeks) were collected. We calculated odds ratios (OR) and 95% confidence intervals (CI) to evaluate factors associated with TB interruption and performed multivariable logistic regression to examine independent risk factors.

Results

from a total of 1,287 records in the TB register, we randomly selected 280 patients for interview, out of whom 252 were traced. Of the 252 participants interviewed, 149 (59.1%) were males and the mean age was 40.0 (SD ± 15.3) years. Seventy-eight (31.0%) interrupted treatment. Treatment interruption was associated with personal monthly income ≤ 10,000 Kenya shillings ($100) (AOR 4.3, CI = 2.13-8.62) compared to income > 10,000 Kenya shillings, daily alcohol consumption of > 3 days per week (AOR 3.3, CI = 1.72-6.23) compared to consumption of ≤ 3 days per week and average waiting time at the health facility ≥ 1 hour (AOR 3.5 CI = 1.86-6.78) compared to waiting time < 1 hour.

Conclusion

we suggest expanding DOTS services to increase the number of service points for patients. This will probably reduce the waiting time by distributing the work load across many facilities. Intensifying patient counseling and education prior to initiation of treatment could also be adopted to cover effects of alcohol use during treatment and teach patients to take up some income generating activities.

Factors influencing treatment default among tuberculosis patients in a high burden province of South Africa

OBJECTIVE

To determine and describe the factors influencing treatment default of tuberculosis (TB) patients in the Free State Province of South Africa.

METHODS

A retrospective records review of pulmonary TB cases captured in the ETR.Net electronic TB register between 2003 and 2012 was performed. Subjects were >15 years of age and had a recorded pre-treatment smear result. The demographic and clinical characteristics of defaulters were described. Multivariate logistic regression analysis was used to determine factors associated with treatment default. The odds ratios (OR) together with their corresponding 95% confidence intervals (CI) were estimated. Statistical significance was considered at 0.05.

RESULTS

A total of 7980 out of 110 349 (7.2%) cases defaulted treatment. Significantly higher proportions of cases were male (8.3% vs. female: 5.8%; p<0.001), <25 years old (9.1% vs. 25-34 years: 8.7%; 35-44 years: 7.0%; 45-54 years: 5.2%; 55-64 years: 4.4%; >64 years: 3.9%; p<0.001), undergoing TB retreatment (11.0% vs. new cases: 6.3%; p<0.001), had a negative pre-treatment sputum smear result (7.8% vs. positive smear results: 7.1%; p<0.001), were in the first 2 months of treatment (95.5% vs. >2 months: 4.8%; p<0.001), and had unknown HIV status (7.8% vs. HIV-positive: 7.0% and HIV-negative: 5.7%; p<0.001). After controlling for potential confounders, multivariate analysis revealed a two-fold increased risk of defaulting treatment when being retreated compared to being treated for the first time for TB (adjusted OR (AOR) 2.0, 95% CI 1.85-2.25). Female cases were 40% less likely to default treatment compared to their male counterparts (AOR 0.6, 95% CI 0.51-0.71). Treatment default was less likely among cases >24 years old compared to younger cases (25-34 years: AOR 0.8, 95% CI 0.77-0.87; 35-44 years: AOR 0.6, 95% CI 0.50-0.64; 45-54 years: AOR 0.4, 95% CI 0.32-0.49; 55-64 years: AOR 0.3, 95% CI 0.21-0.43; >64 years: AOR 0.3, 95% CI 0.19-0.35). Co-infected cases receiving antiretroviral therapy (ART) were 40% less likely to default TB treatment relative to those whose ART status was unknown (AOR 0.6, 95% CI 0.46-0.57).

CONCLUSIONS

Salient factors influence TB patient treatment default in the Free State Province. Therefore, the strengthening of clinical and programmatic interventions for patients at high risk of treatment default is recommended. In particular, ART provision to co-infected cases facilitates TB treatment adherence and outcomes.

Predictors of Default from Treatment for Tuberculosis: a Single Center Case-Control Study in Korea

Default from tuberculosis (TB) treatment could exacerbate the disease and result in the emergence of drug resistance. This study identified the risk factors for default from TB treatment in Korea. This single-center case-control study analyzed 46 default cases and 100 controls. Default was defined as interrupting treatment for 2 or more consecutive months. The reasons for default were mainly incorrect perception or information about TB (41.3%) and experience of adverse events due to TB drugs (41.3%). In univariate analysis, low income (< 2,000 US dollars/month, 88.1% vs. 68.4%, P = 0.015), absence of TB stigma (4.3% vs. 61.3%, P < 0.001), treatment by a non-pulmonologist (74.1% vs. 25.9%, P < 0.001), history of previous treatment (37.0% vs. 19.0%, P = 0.019), former defaulter (15.2% vs. 2.0%, P = 0.005), and combined extrapulmonary TB (54.3% vs. 34.0%, P = 0.020) were significant risk factors for default. In multivariate analysis, the absence of TB stigma (adjusted odd ratio [aOR]: 46.299, 95% confidence interval [CI]: 8.078-265.365, P < 0.001), treatment by a non-pulmonologist (aOR: 14.567, 95% CI: 3.260-65.089, P < 0.001), former defaulters (aOR: 33.226, 95% CI: 2.658-415.309, P = 0.007), and low income (aOR: 5.246, 95% CI: 1.249-22.029, P = 0.024) were independent predictors of default from TB treatment. In conclusion, patients with absence of disease stigma, treated by a non-pulmonologist, who were former defaulters, and with low income should be carefully monitored during TB treatment in Korea to avoid treatment default.

Registration and management of community patients with tuberculosis in north-west China

OBJECTIVES

To describe the registration, management and characteristics of patients with tuberculosis (TB) in north-west China, and investigate whether patients with TB were diagnosed and treated in a timely manner.

STUDY DESIGN

Health-facility-based retrospective data were collected from district patient registers and case reports for all patients with TB registered from January 2009 to December 2011 in Xinjiang Uygur Autonomous Region, north-west China.

METHODS

Patient characteristics and clinical data were collected from the national TB epidemic reporting system using standardized case reporting forms for diagnosis, treatment and outcome. Data were collected and entered by trained health staff in the regional TB clinics.

RESULTS

In total, data for 20,396 patients with TB were collected; of these, 78.5% were farmers. The age peaks were 20-44 years and 60-74 years. Average health-seeking and diagnostic delays were 32 days and two days, respectively. More than half (54.7%) of the patients with smear-negative TB were diagnosed by chest x-ray. Moreover, 94.3% of patients with TB were treated successfully. From 2009 to 2011, the health-seeking delay decreased significantly (P < 0.05), and the diagnostic delay increased significantly (P < 0.05). A significant decreasing trend in smear-positive TB was observed (P < 0.05), along with an increasing trend in treatment success (P < 0.05).

CONCLUSIONS

In north-west China, there is a need to focus on key high-risk populations for prevention and control of TB, such as those aged 20-44 years and 60-74 years, males and farmers. Delays in diagnosis and treatment have a negative effect on cure rates and make it more difficult to control the propagation of TB.