Unsuccessful Tuberculosis Treatment Outcomes Research Articles

Determinants of unsuccessful tuberculosis treatment outcome in Southwest Ethiopia regional state public hospitals, 2022: a multi-center case control study.

Tuberculosis is the major cause of morbidity, and it is one of the top ten causes of death globally. In Africa, the overall pooled estimate of unsuccessful tuberculosis treatment outcome was reported to be 21.1%, which is above the World Health Organization defined threshold of 15%. Unsuccessful treatment outcomes result in drug resistance, prolonged periods of infection, and increased morbidity and mortality. Therefore, this study aimed to assess determinants of unsuccessful treatment outcomes among tuberculosis patients in Southwest Ethiopia regional state public hospitals, in 2022. A retrospective unmatched case-control study was employed by recruiting 570 study units (190 cases and 380 controls) in three randomly selected public hospitals from 1 August 2022 to 21 August 2022. Data were collected by using a data extraction checklist adapted from tuberculosis registration logbook. Bivariate and multivariate logistic regression models were employed. A predictor variable with a p-value of less than 0.05 in the multivariate logistic regression model was taken as statistically significant. The odds ratio and 95% confidence level were used to measure the strength of the association. A total of 561 records (187 cases and 374 controls) were included from tuberculosis registers. In this study, the factors independently associated with unsuccessful tuberculosis treatment outcome were older age (AOR = 1.68, 95% CI: 1.142, 2.472), rural residence (AOR = 1.548, 95% CI: 1.055, 2.272), retreatment category (AOR = 2.12, 95% CI: 1.339, 3.357), underweight (BMI < 18.5 kg/m2) (AOR = 1.952, 95% CI: 1.240, 3.071), being HIV positive (AOR = 2.144, 95% CI: 1.372, 3.349) and having no treatment adherence support (AOR = 2.016, 95% CI: 1.270, 3.201). In this study, socio-demographic, clinical, and treatment-related factors contributed to the risk of unsuccessful treatment outcomes. Targeted interventions should be taken into consideration to diminish poor tuberculosis treatment outcomes among high-risk groups throughout the whole tuberculosis treatment course.

Predictors of unsuccessful tuberculosis treatment outcomes in Brazil: an analysis of 259,484 patient records.

Tuberculosis (TB) causes over 1million deaths annually. Providing effective treatment is a key strategy for reducing TB deaths. In this study, we identified factors associated with unsuccessful treatment outcomes among individuals treated for TB in Brazil. We obtained data on individuals treated for TB between 2015 and 2018 from Brazil's National Disease Notification System (SINAN). We excluded patients with a history of prior TB disease or with diagnosed TB drug resistance. We extracted information on patient-level factors potentially associated with unsuccessful treatment, including demographic and social factors, comorbid health conditions, health-related behaviors, health system level at which care was provided, use of directly observed therapy (DOT), and clinical examination results. We categorized treatment outcomes as successful (cure, completed) or unsuccessful (death, regimen failure, loss to follow-up). We fit multivariate logistic regression models to identify factors associated with unsuccessful treatment. Among 259,484 individuals treated for drug susceptible TB, 19.7% experienced an unsuccessful treatment outcome (death during treatment 7.8%, regimen failure 0.1%, loss to follow-up 11.9%). The odds of unsuccessful treatment were higher with older age (adjusted odds ratio (aOR) 2.90 [95% confidence interval: 2.62-3.21] for 85-100-year-olds vs. 25-34-year-olds), male sex (aOR 1.28 [1.25-1.32], vs. female sex), Black race (aOR 1.23 [1.19-1.28], vs. White race), no education (aOR 2.03 [1.91-2.17], vs. complete high school education), HIV infection (aOR 2.72 [2.63-2.81], vs. no HIV infection), illicit drug use (aOR 1.95 [1.88-2.01], vs. no illicit drug use), alcohol consumption (aOR 1.46 [1.41-1.50], vs. no alcohol consumption), smoking (aOR 1.20 [1.16-1.23], vs. non-smoking), homelessness (aOR 3.12 [2.95-3.31], vs. no homelessness), and immigrant status (aOR 1.27 [1.11-1.45], vs. non-immigrants). Treatment was more likely to be unsuccessful for individuals treated in tertiary care (aOR 2.20 [2.14-2.27], vs. primary care), and for patients not receiving DOT (aOR 2.35 [2.29-2.41], vs. receiving DOT). The risk of unsuccessful TB treatment varied systematically according to individual and service-related factors. Concentrating clinical attention on individuals with a high risk of poor treatment outcomes could improve the overall effectiveness of TB treatment in Brazil.

Unsuccessful tuberculosis treatment outcomes across Brazil's geographical landscape before and during the COVID-19 pandemic: are we truly advancing toward the sustainable development/end TB goal?

BackgroundTuberculosis is one of the most significant infectious diseases for global public health. The reallocation of healthcare resources and the restrictions imposed by the COVID-19 pandemic have hindered access to TB diagnosis and treatment. Increases in unfavorable outcomes of the disease have been observed in Brazil. The objective of this study was to analyze the spatial distribution of unfavorable TB treatment outcomes in Brazil before and during the pandemic.MethodsAn ecological study with spatial analysis was conducted with all 5569 municipalities in Brazil. All reported cases of tuberculosis between January 2010 and December 2021, as well as reported cases of COVID-19 from February 2020 to December 2021, were included. The outcomes studied encompass loss to follow-up, drug-resistant tuberculosis, and death. The Getis Ord GI* technique was employed to assess spatial association, and the Kernel density estimator was used to identify areas with concentrated increases or decreases in outcomes. Bivariate Local Moran's I was used to examine the spatial association between outcomes and COVID-19 incidence. The study was approved by the Research Ethics Committee of Ribeirão Preto Nursing School, University of São Paulo.ResultsThere were 134,394 cases of loss to follow-up, 10,270 cases of drug resistance, and 37,863 deaths. Clusters of high and low values were identified for all three outcomes, indicating significant changes in the spatial distribution patterns. Increases in concentrations were observed for lost to follow-up cases in the Southeast, while reductions occurred in the Northeast, South, and Midwest. Drug-resistant tuberculosis experienced an increase in the Southern and Southeastern regions and a decrease in the Northeast and South. TB-related deaths showed notable concentrations in the Midwest, Northeast, South, and Southeast. There was an increase in high occurrence clusters for deaths after 2020 and 2021 in the Northeast.ConclusionsThe pandemic has brought additional challenges, emphasizing the importance of enhancing efforts and disease control strategies, prioritizing early identification, treatment adherence, and follow-up. This commitment is vital for achieving the goal of tuberculosis elimination.

Factors associated with unsuccessful tuberculosis treatment in Manaus, Amazonas, from 2011 to 2021.

To identify vulnerability factors associated with unsuccessful tuberculosis treatment outcomes between 2011 and 2021 in Manaus, Amazonas. Ecological study using tuberculosis case notification data from the Notifiable Diseases Information System, from 2011 to 2021, of residents in Manaus. The variables refer to treatment outcomes and patient vulnerability, according to the theoretical model: individual, programmatic and social. The analysis tested the association between vulnerability and tuberculosis treatment non-success, measured by the occurrence of death, loss to follow-up or treatment default. The Odds Ratio estimate with confidence interval was obtained by logistic regression, according to a hierarchical model. The following factors were more likely to lead to unsuccessful tuberculosis treatment: individual vulnerability (age group 20 to 29 years and over 60 years, indigenous race, HIV+, drug use); programmatic vulnerability (not having an HIV test), social vulnerability (special population). Individual vulnerability was more strongly associated with non-success. Intervention is needed to explore the points of greatest individual vulnerability, enabling effective action to prevent unsuccessful tuberculosis treatment.

Determinants of Unsuccessful TB Treatment Outcomes Among Patients on Directly Observed Treatment Short Course in Jimma Town Health Facilities, Southwest Ethiopia: A Case-Control Study.

Even though Ethiopia's Federal Ministry of Health has been implementing several programs aimed at reducing the burden of tuberculosis (TB), It does not demonstrate adequate progress. As a result, identifying the determinants of unsuccessful outcomes of directly observed treatment, short-course (DOTS) is critical. This study aimed to assess the determinants of unsuccessful TB treatment outcomes among patients with DOTS in Jimma town, southwest Ethiopia. An unmatched case-control study using secondary data was conducted among 118 cases and 472 controls from April 1 to June 1, 2021. Cases were TB cases with unsuccessful treatment courses whereas controls were those of successful treatment. Data were collected using a standardized tool. Statistical analysis was done using SPSS version 23 software. A binary logistic regression model was used to identify the determinants. We found that the determinants including age > 35 years (AOR=1.9, 95% CI: 1.14-3.2), lack of contact person (AOR= 27, 95% CI: 15.8-46.3), being HIV positive (AOR=7.3, 95% CI: 3.7-14.2)), and being malnourished (AOR=4.5, 95% CI: 1.5-12.9) were significantly associated with unsuccessful tuberculosis treatment outcome. In this study, advanced age, being HIV positive, lack of contact person, and being malnourished were determinant factors for unsuccessful TB treatment outcomes. Hence, careful monitoring, screening, and management of risk factors are recommended.

Predictors of unsuccessful treatment of tuberculosis in Arsi-Robe Hospital, Arsi Zone, Oromia Regional State, Central Ethiopia: a retrospective study

ABSTRACT Introduction Tuberculosis remains a major global health problem and ranks alongside the human immunodeficiency virus (HIV) as a leading cause of mortality worldwide. This study investigated the treatment outcome of tuberculosis and predictors of unsuccessful treatment outcome of tuberculosis (TB) patients enrolled in Arsi-Robe Hospital, central Ethiopia between January 2013 and December 2017. Methods An institution-based retrospective study was conducted on patients who had all forms of TB such as smear positive tuberculosis (PTB+), smear negative tuberculosis (PTB-), and extrapulmonary tuberculosis (EPTB) in the DOTS clinic. A multivariable logistic regression model was employed to identify predictors of unsuccessful treatment outcome and a P < 0.05 was considered statistically significant. Results Out of 257 registered TB patients, most were males (60%), rural residents (62.6%), new cases (69.6%), and HIV-negative (91.4%) and had pulmonary TB (80.2%). Regarding treatment outcome, 31.5% were cured, 52.5% completed their treatment, 5.1% defaulted, 5.8% died, and 5.1% had failed treatment. The overall successful treatment outcome and unsuccessful treatment outcome were 84% (87.9% males and 78.7% females) and 16% (21.1% males and 21.3% females), respectively. TB patients’ residence, age, treatment category, HIV-status and TB types were significantly associated with unsuccessful treatment outcome. TB patients from urban areas [AOR, adjusted odds ratio: 3.34, 95% CI (1.33–8.38)], within age of 45–54 years [AOR: 2.35, 95% CI (1.03–6.98)], those with failure treatment [AOR: 6.64, 95% CI (1.12–37.08)], and HIV-positive [AOR: 5.02, 95% CI (1.50–16.82)] patients had higher odds of unsuccessful TB treatment outcome. However, patients with PTB+ and EPTB had significantly lower odds of unsuccessful treatment outcome compared to patients with PTB-. Conclusion and Recommendations The treatment success rate is low as compared to the national treatment success rate. Public health facilities are advised to work on identifying factors of unsuccessful treatment outcomes through strengthened implementation of the DOTS strategy.

Diabetes mellitus is associated with an increased risk of unsuccessful treatment outcomes among drug-susceptible tuberculosis patients in Ethiopia: A prospective health facility-based study

BackgroundThe impact of diabetes mellitus on tuberculosis (TB) treatment outcomes has not been well investigated in most sub-Saharan countries including Ethiopia. The current study aimed to determine the association between diabetes mellitus and unsuccessful TB treatment outcomes among drug-susceptible TB patients treated at selected health facilities in Addis Ababa, Ethiopia. MethodsThis health facility-based prospective cohort study was conducted at six randomly selected public health centers in Addis Ababa, from August 2020 until November 2021. Clinically diagnosed adult pulmonary and extra pulmonary TB patients were recruited at the time of treatment initiation. A multivariable logistic regression analysis was used to estimate the association between diabetes and unsuccessful TB treatment outcomes. ResultsAmong the total 267 enrolled participants, 9.7% of patients with TB were identified to have diabetes comorbidity. Of patients with diabetes and TB, 9 (34.6%) were newly diagnosed based on glucose test results. Despite an overall high TB treatment success rate (94.0%), more than one-fourth (26.9%) of patients with diabetes had a poor TB treatment outcome (26.9%), which was remarkably higher compared to patients without diabetes (3.7%). In multivariable regression, the adjusted odds of poor TB treatment outcome among those with diabetes was 14.8 (95% CI 3.5 – 62.7) times the odds of poor outcome patients without diabetes. ConclusionDiabetes was significantly associated with increased odds of poor TB treatment outcomes among patients in Addis Ababa, Ethiopia.

Tuberculosis Treatment and Factors Associated with Unsuccessful Tuberculosis Treatment Outcome among TB/HIV co-infected Patients in Rwanda: A Retrospective Cohort Study

IntroductionMycobacterium tuberculosis remains the main cause of death as an infectious agent of Tuberculosis in humans, particularly in resource-poor settings. Worldwide, Tuberculosis is one of the top 10 causes of mortality.Objective of the studyThis study aims to determine the outcomes of TB treatment and assess the factors associated with unsuccessful TB treatment outcome among TB/HIV co-infected patients in Rwanda.MethodsThis was a retrospective cohort study of all TB/HIV co-infected patients reported in the national electronic TB reporting system (e-TB) by all health facilities from July 2019 to June 2020. Frequencies, proportions, bivariate and multivariate logistic regression were performed to determine factors associated with unsuccessful TB treatment.ResultsThere were 1,144 people reported in the e-TB, however, only 987 were included in the study because 157 patients did not meet the inclusion criteria.The TB/HIV co-infected patients who were not given nutritional support, OR 7.3, 95%CI [1.4, 37.6] and those who were not on ART,OR15.3, 95%CI [3.6, 69.6],were more likely to have unsuccessful treatment outcome than their counterparts.ConclusionUnsuccessful TB treatment outcomes were highly observed among TB/HIV co-infected patients. The study recommended reinforcing nutritional support and early initiation of ART among TB/HIV co-infected patients.Rwanda J Med Health Sci 2023;6(1):17-26

Effectiveness of Nicotine Replacement Therapy on Smoking Cessation and Reduction Among Pulmonary Tuberculosis Patients – A Randomized Controlled Trial

Background': India is ranked second in the world in terms of tobacco use and tops the list of eight high-burden countries that account for two-thirds of the new tuberculosis (TB) cases globally. As tobacco smoking among TB patients is associated with unsuccessful TB treatment outcomes, effective smoking cessation interventions for TB patients is essential to combat this double pandemic. Aim: The study determined the effectiveness of nicotine replacement therapy (NRT) on smoking reduction and cessation among pulmonary TB patients. Settings and Design: The study included 300 pulmonary TB patients undergoing antitubercular treatment in government health care centers of Dakshina Kannada district in southern India. Materials and Methods: The participants in this two-armed, single-blinded, placebo-controlled, block-randomized trial were divided equally (n = 150) for experimental arm (brief advice + NRT) and control arm (brief advice + placebo). The total duration of treatment and follow-up was 6 months. Unadjusted relative risk (URR) and adjusted relative risk (ARR) were calculated for treatment outcomes at 95% confidence interval (CI). Generalized linear regression analysis was performed upon variables with P value less than 0.2. Results: After 6 months of intervention including follow up, there was a significant reduction in self-reported smoking (ARR = 1.08, 95% CI 1.01–1.17, P = 0.03) in the experimental arm compared with the control arm. Biochemically verified smoking abstinence was not significantly different between the two arms (ARR = 1.01, 95% CI 0.72–1.38, P = 0.97). Conclusion: The study showed statistically significant effectiveness of NRT for self-reported smoking reduction.

Treatment outcome and its associated factors among HIV-MTB co-infected patients in Sichuan, China: A retrospective study.

Human immunodeficiency virus (HIV)-Mycobacterium tuberculosis (MTB) co-infection has become a pressing global public health problem. Although tuberculosis (TB) is both treatable and curable, it has been exacerbated by the HIV/acquired immune deficiency syndrome (AIDS) epidemic. HIV-MTB co-infected patients have a variety of disease-specific, and treatment-related factors that can adversely affect their treatment outcomes. This study was conducted to assess the outcomes of TB treatment and its associated factors among HIV-MTB co-infected patients in Sichuan, Southwest China. A retrospective study was performed on HIV-MTB co-infected patients who were diagnosed and registered in TB designated hospitals in Sichuan from January 1, 2016, to December 31, 2020. Data were collected from patients' electronic medical records regarding their demographic, clinical, and social support information, and categorical data, such as sex, were reported using numbers and percentages. χ2 and t-tests were conducted to compare groups in relation to different levels of medical institutions. A binary logistic regression model was used to identify the factors associated with unsuccessful TB treatment outcomes. For logistic regression analysis performed using an α of 0.05, odds ratios (ORs) and corresponding 95% confidence intervals (CIs) were calculated for various risk factors. A total of 3677 registered HIV-MTB co-infected patients were enrolled. After adjusting for other variables, male, advanced age, receiving TB treatment at the municipal medical institution, being diagnosed with external pulmonary TB, referral or tracing, being sputum smear positive, not initiating antiretroviral therapy (ART) and not using fixed-dose combinations were the main risk factors for treatment failure of HIV-MTB co-infected patients in Sichuan province. Sex, age, hospital level, patient source, other diagnostic factors (e.g., sputum smear results, anatomical site of TB), and factors of therapeutic schemes (e.g., antiretroviral therapy, fixed-dose combinations) may serve as risk factors to estimate the likely treatment outcome of HIV-TB co-infection.

Epidemiology of Pediatric Tuberculosis and Factors Associated with Unsuccessful Treatment Outcomes in the Centre Region of Cameroon: A Three-Year Retrospective Cohort Study.

Background In Cameroon, there are limited data on treatment outcomes of pediatric tuberculosis (TB). We sought to identify the factors associated with unsuccessful treatment outcomes and the risk factors for mortality among children receiving TB treatment in the Centre Region of Cameroon. Methods This was a multicentre facility-based retrospective cohort study using routinely collected programmatic data. All children <15 years old treated for TB between 2018 and 2020 in 21 health facilities were included. We assessed risk factors for experiencing an unsuccessful treatment outcome and mortality through multivariable logistic regression analysis. Results Of the 610 children with TB, 307 (50.3%) were females and the median age was 6 years (IQR = 2–12). One hundred and fifty-three (25.1%) of the children were TB/HIV co-infected patients. TB treatment success (cases categorized as cured and completed treatment) was observed in 488 (80.0%) of the patients. Unsuccessful treatment outcomes were experienced by 122 (20.0%) children. Of these, 73 (12.0%) died, 4 (0.6%) had treatment failure, 25 (4.1%) were lost to follow-up, and the outcomes of 20 (3.3%) children were not evaluated. In multivariable analysis, HIV-positive status (adjusted odds ratio [AOR] = 2.43; 95% CI, 1.55–3.80, p < 0.001) and clinical method of TB diagnosis (AOR = 2.46; 95% CI, 1.55–3.91, p < 0.001] were associated with unsuccessful treatment outcomes. HIV-positive status (AOR = 4.23; 95% CI, 2.44–7.33, p < 0.001) and clinical method of TB diagnosis (AOR = 2.22; 95% CI, 1.25–3.91, p=0.006) were the risk factors for mortality among children on TB treatment. Conclusion The study found that HIV-TB co-infected children and those clinically diagnosed with TB were significantly more likely to have had unsuccessful TB treatment outcomes and mortality. Our findings underscore the need for healthcare workers to closely monitor and support HIV-TB co-infected children on TB treatment. TB/HIV collaborative activities should be strengthened by implementing TB preventive interventions among HIV-infected children.

Determinants of unsuccessful tuberculosis treatment outcome in Northern Red Sea region, Eritrea.

BackgroundEritrea has achieved the global target (90%) for tuberculosis (TB) treatment success rate. Though, events of unsuccessful TB treatment outcomes (death, treatment failure, lost to follow up and not evaluated) could lead to further TB transmission and the development of resistant strains. Hence, factors related to these events should be explored and addressed. This study aims to fill the gap in evidence by identifying the determinants of unsuccessful TB treatment outcomes in Eritrea’s Northern Red Sea region.MethodsA retrospective cohort study was conducted in Eritrea’s Northern Red Sea region. Data collected using a data extraction tool was analyzed using Stata version 13. Frequencies, proportions, median and standard deviations were used to describe the data. Furthermore, univariable and multivariable logistic regression analysis were performed to determine the risk factors for unsuccessful TB treatment outcomes. Crude odds ratio (COR) and adjusted odds ratio (AOR) with their 95% confidence interval (CI) presented and p-value < 0.05 was considered statistically significant.ResultsAmong 1227 TB patients included in this study, 9.6% had unsuccessful TB treatment outcomes. In multivariable logistic regression analysis, TB cases 55–64 years old (AOR: 2.75[CI: 1.21–6.32], p = 0.016) and those ≥ 65 years old (AOR: 4.02[CI: 1.72–9.45], p = 0.001) had 2.7 and 4 times higher likelihood of unsuccessful TB treatment outcome respectively. In addition, HIV positive TB patients (AOR: 5.13[CI: 1.87–14.06], p = 0.002) were 5 times more likely to have unsuccessful TB treatment outcome. TB treatment in Ghindae Regional Referral Hospital (AOR: 5.01[2.61–9.61], p < 0.001), Massawa Hospital (AOR: 4.35[2.28–8.30], p< 0.001) and Nakfa Hospital (AOR: 2.53[1.15–5.53], p = 0.021) was associated with 5, 4 and 2.5 higher odds of unsuccessful TB treatment outcome respectively.ConclusionIn this setting, old age, HIV co-infection and health facility were the independent predictors of unsuccessful TB treatment outcome.

Risk factors associated with unsuccessful tuberculosis treatment outcomes in Hunan Province, China.

ObjectivesGlobally, China has the third highest number of tuberculosis (TB) cases despite high rates (85.6%) of effective treatment coverage. Identifying risk factors associated with unsuccessful treatment outcomes is an important component of maximising the efficacy of TB control programmes.MethodsRetrospective cohort study to evaluate the outcomes of 306,860 drug‐susceptible TB patients who underwent treatment in Hunan Province, China between 2013 and 2018. Univariable and multivariable logistic regression models were used to identify factors associated with unsuccessful TB treatment outcomes.ResultsA successful treatment outcome was recorded for 98.6% of patients, defined as the sum of patients who were cured (36.2%) and completed treatment (62.4%). An unsuccessful treatment outcome was recorded for 1.8% of patients, defined as the sum of treatment failure (1.1%), deaths (0.5%) and lost to follow up (0.2%). The odds of an unsuccessful treatment outcome showed an increasing trend in more recent years of registration (2018 adjusted odds ratio (AOR): 1.43; 95% Confidence Interval (CI) 1.31, 1.57 relative to 2013). Other significant risk factors were male sex (AOR: 1.17; 95% CI 1.10, 1.25); increasing age (AOR:1.02 per year increase; 95% CI 1.02,1.02); being severely ill (AOR: 1.50; 95% CI 1.33, 1.70); having a history of TB treatment (AOR: 2.93; 95% CI 2.69, 3.20); not being under systematic management (AOR: 16.10 (14.49, 17.88) and treatment regimens that differed from full course management.ConclusionsThe increasing likelihood of an unsuccessful treatment outcome over time necessitates the need for further research.

Impact of Protracted Displacement on Delay in the Diagnosis Associated with Treatment Outcomes: A Cross-Sectional Study in Internally Displaced Tuberculosis Patients of Pakistan.

Human displacement is on the rise globally, and the increase in the burden of tuberculosis (TB) is also attributed to migrations worldwide. A significant number of such displacements occur in regions with considerably higher areas of TB burden. Displacements may delay TB diagnosis and treatment, which will possibly lead to TB transmission among healthy individuals. In this study, we assessed the association of existing determinants after a protracted internal displacement of people with delay in TB diagnosis and treatment outcomes. A cross-sectional study was conducted on internally displaced TB patients (IDPs), registered at selected health facilities in three urban districts of Pakistan from March 2019 to February 2020. The univariate and multivariate logistic regression model was used to assess the delay in diagnosis and treatment outcomes. IDPs with delay in initiation of treatment beyond 30 days were at high possibility of unsuccessful TB treatment outcomes (adjusted odds ratio AOR, 2.60; 95% CI 1.06–6.40). Furthermore, the multivariate regression analysis showed a statistically significant association (p > 0.05) between TB patients who were aged 55 to 65 years (AOR, 2.66; 95% CI 1.00–7.07), female patients (AOR, 2.42; 95% CI 1.21–4.81), visited non-formal health provider (AOR, 8.81; 95% CI 3.99–19.46), self-medication (AOR, 2.72; 95 % CI 1.37–5.37), poor knowledge of TB (AOR, 11.39; 95% CI 3.31–39.1), and perceived stigma (AOR, 8.81; 95% CI 3.99–19.4). Prolonged delay in treatment was associated with unfavorable treatment outcomes among IDPs. Migrants and IDPs are more likely to experience an interruption in care due to overall exclusion from social and health care services. Therefore, it is imperative to understand the barriers to providing public health care services, particularly in preventing and treating TB.

Factors Associated with Unsuccessful Outcomes of Tuberculosis Treatment in 125 Municipalities in Colombia 2014 to 2016.

Our aim was to identify the risk factors associated with unsuccessful outcomes of tuberculosis (TB) treatment in patients diagnosed between 2014 and 2016 in the 125 municipalities of Antioquia, Colombia. We studied a retrospective cohort of patients with TB diagnosed between 2014 and 2016, from national routine surveillance systems, in 125 municipalities of Antioquia. Factors associated with unsuccessful tuberculosis treatment outcomes (treatment failed, lost to follow up, or death) were identified utilizing a Poisson regression with robust variance. Over 3 years, of the 6,739 drug-susceptible tuberculosis patients, 73.4% had successful treatment and 26.6% unsuccessful outcomes (17% lost to follow up, 8.9% deaths, and 0.7% treatment failures). Patients with subsidized health insurance (Relative risk [RR]: 2.4; 95% CI: 2.1-2.8) and without health insurance (RR: 2.5; 95% CI: 2.1-3.0) had a higher risk for unsuccessful tuberculosis treatment compared to those with contributive health insurance. Other risk factors included age over 15 years, male sex, homelessness, people living with HIV, previous treatment, and primary diagnosis during hospitalization. Protective factors were living in a rural area and extrapulmonary disease. It is important to generate strategies that improves tuberculosis diagnosis in primary healthcare institutions. In addition, it is imperative to initiate new research about the barriers and obstacles related to patients, healthcare workers and services, and the health system, including the analysis of urban violence, to understand why the goal of TB treatment success has not been reached.

A Clinical Prediction Model for Unsuccessful Pulmonary Tuberculosis Treatment Outcomes.

Despite widespread availability of curative therapy, tuberculosis (TB) treatment outcomes remain suboptimal. Clinical prediction models can inform treatment strategies to improve outcomes. Using baseline clinical data, we developed a prediction model for unsuccessful TB treatment outcome and evaluated the incremental value of human immunodeficiency virus (HIV)-related severity and isoniazid acetylator status. Data originated from the Regional Prospective Observational Research for Tuberculosis Brazil cohort, which enrolled newly diagnosed TB patients in Brazil from 2015 through 2019. This analysis included participants with culture-confirmed, drug-susceptible pulmonary TB who started first-line anti-TB therapy and had ≥12 months of follow-up. The end point was unsuccessful TB treatment: composite of death, treatment failure, regimen switch, incomplete treatment, or not evaluated. Missing predictors were imputed. Predictors were chosen via bootstrapped backward selection. Discrimination and calibration were evaluated with c-statistics and calibration plots, respectively. Bootstrap internal validation estimated overfitting, and a shrinkage factor was applied to improve out-of-sample prediction. Incremental value was evaluated with likelihood ratio-based measures. Of 944 participants, 191 (20%) had unsuccessful treatment outcomes. The final model included 7 baseline predictors: hemoglobin, HIV infection, drug use, diabetes, age, education, and tobacco use. The model demonstrated good discrimination (c-statistic = 0.77; 95% confidence interval, .73-.80) and was well calibrated (optimism-corrected intercept and slope, -0.12 and 0.89, respectively). HIV-related factors and isoniazid acetylation status did not improve prediction of the final model. Using information readily available at treatment initiation, the prediction model performed well in this population. The findings may guide future work to allocate resources or inform targeted interventions for high-risk patients.

Tuberculosis Treatment Outcome in Patients with TB-HIV Coinfection in Kuala Lumpur, Malaysia.

Background Tuberculosis (TB) is a serious health threat to people living with human immunodeficiency virus (HIV). This study aimed to identify the characteristics, unsuccessful TB treatment rate, and determinants of unsuccessful TB treatment outcome among patients with TB-HIV coinfection in Kuala Lumpur. Methods This was a cross-sectional study. The data of all patients with TB-HIV in the federal territory of Kuala Lumpur from 2013 to 2017 were collected and reviewed. The data were retrieved from the national database (TB Information System) at the Kuala Lumpur Health Department from 1 March 2018 to 31 May 2018. Results Out of 235 randomly selected patients with TB-HIV, TB treatment outcome was successful in 57.9% (cured and completed treatment) and unsuccessful in 42.1% (died, failed, or lost to follow-up). Patients who did not receive DOTS (directly observed treatment, short course) (adjusted odds ratio: 21.71; 95% confidence interval: 5.36–87.94) and those who received shorter treatment duration of <6 months (aOR: 34.54; 95% CI: 5.97–199.93) had higher odds for unsuccessful TB treatment outcome. Conclusions Nearly half of the patients with TB-HIV had unsuccessful TB treatment outcome. Therefore, it is important to ensure that such patients receive DOTS and continuous TB treatment of >6 months. It is crucial to strengthen and widen the coverage of DOTS, especially among high-risk groups, in healthcare settings. Strict follow-up by healthcare providers is needed for patients with TB-HIV to gain treatment adherence and for better rates of successful TB treatment.

Diagnostic Procedures, Diagnoses, and Treatment Outcomes of Patients with Presumptive Tuberculosis Pleural Effusion in Uzbekistan.

Tuberculosis (TB) pleural effusion (TPE) is the second most common manifestation of extrapulmonary TB (EPTB), which remains a great diagnostic challenge worldwide. In Uzbekistan, there has been no formal evaluation of the actual practices of diagnosing and treating TPE. Our cohort study therefore aimed to describe the frequency and types of different diagnostic procedures of TPE during 2017–2018 and assess the association of baseline characteristics and establish diagnostic methods with TB treatment outcomes. In total, 187 patients with presumptive TPE were assessed, and 149 had a confirmed diagnosis of TPE (other diagnoses included cancer n = 8, pneumonia n = 17, and 13 cases were unspecified). TB was bacteriologically confirmed in 22 (14.8%), cytologically confirmed in 64 (43.0%), and histologically confirmed in 16 (10.7%) patients. Hepatitis was the only co-morbidity significantly associated with unsuccessful treatment outcomes (RR 4.8; 95%CI: 1.44–15.98, p value 0.011). Multivariable regression analysis showed that drug-resistant TB was independently associated with unsuccessful TB treatment outcome. (RR 3.83; 95%CI: 1.05–14.02, p value 0.04). Multidisciplinary approaches are required to maximize the diagnostic accuracy of TPE and minimize the chances of misdiagnosis. TPE patients with co-infections and those with drug resistance should be more closely monitored to try and ensure successful TB treatment outcomes.

Nutritional status and TB treatment outcomes in Addis Ababa, Ethiopia: An ambi-directional cohort study

Remaining underweight during Tuberculosis (TB) treatment is associated with a higher risk of unsuccessful TB treatment outcomes and relapse. Previous studies conducted in Ethiopia found that bodyweight not adjusted for height at the start of treatment is associated with poor treatment outcomes. However, the association of body mass index (BMI) and weight change during treatment with treatment outcomes has not been studied. We aimed to investigate the association of BMI at the time of diagnosis and after two months of treatment and TB treatment outcomes. Using an ambi-directional cohort study design (retrospective and prospective), a total of 456 participants were enrolled among 30 randomly selected public health centers residing within six sub-cities of Addis Ababa, Ethiopia. Data were collected using medical chart abstraction and face to face interviews. We compared TB treatment outcomes in persons with a body mass index (BMI) <18.5kg/m2 (underweight) versus persons with BMI ≥18.5kg/m2 (normal or overweight) at treatment initiation and after two months of treatment. Treatment was classified as successful in persons who were free of symptoms and had a negative sputum smear for acid-fast bacilli at the end of the 6-month treatment course. We analysed outcomes using univariable and multivariable logistic regression with 95% CI and p value< 0.05. Of enrolled study participants, 184 (40.4%) were underweight and 272 (59.6%) were normal or overweight. Body mass index (BMI ≥18.5kg/m2) at the start and second month of treatment were independent predictors for successful treatment outcome (AOR = 2.15; 95% CI: 1.05, 4.39) and (AOR = 3.55; 95% CI: 1.29, 9.73), respectively. The probability of treatment success among patients with BMI≥18.5kg/m2 at the start and second month of treatment was 92.9% and 97.1%, respectively versus 86.5% and 91.7% in patients with BMI<18.5kg/m2. Bodyweight not adjusted for height and change in the bodyweight after the second and sixth months of treatment were not significantly associated with treatment success. In persons treated for TB disease, being underweight at baseline and after two months of treatment was a predictor for unsuccessful treatment outcomes. Nutritional assessment, counselling, and management are important components of TB treatment programs with the potential to improve treatment outcomes.

Predictors of unsuccessful tuberculosis treatment outcomes in children from a prospective cohort study in Pakistan.

BackgroundEvery year, about 239 000 children die from tuberculosis (TB), despite availability of highly effective regimens. Few studies have evaluated predictors for poor treatment outcomes in children treated for TB.MethodsWe assessed predictors of unsuccessful TB treatment outcomes in a prospective cohort of children diagnosed by an intensified TB patient-finding intervention at four facilities in Pakistan between 2014 and 2016. A case of TB disease was determined through either bacteriologic confirmation of disease or a clinical diagnosis. To estimate characteristics predictive of experiencing an unsuccessful treatment outcome, we used a multi-level model with a modified Poisson approach, accounting for clustering at the facility level. We report estimated relative risks (RR) and 95% confidence intervals (CI).ResultsDuring the study period, 1404 children less than 15 years old were initiated on treatment for drug-susceptible TB. In total, 709 (50.5%) were 0-4, 406 (28.9%) were 5-9 years, and 289 (20.6%) were 10-14 years old; 614 (43.7%) were female; and of the 1377 children assessed for malnourishment, 1161 (84.3%) were malnourished. A total of 1322 (94.2%) children experienced a successful treatment outcome, 14 (1.0%) children transferred out to a different facility, and 68 (4.8%) children experienced an unsuccessful treatment outcome: 14 (1.0%) died, 20 (1.4%) failed treatment, and 34 (2.4%) were lost to follow-up. After adjustment for age group, sex, and malnutrition status, we identified increased risk of unsuccessful treatment outcome in children presenting with fever (RR = 2.56, 95% CI = 1.02-6.44; P = 0.05) or an abdominal examination suggestive of TB disease (RR = 2.34, 95% CI = 1.20-4.58; P = 0.01), and a decreased risk in children who initiated treatment at a rural facility (RR = 0.05, 95% CI = 0.00-0.74; P = 0.03).ConclusionsMore than 94% of children experienced successful treatment outcomes. We identified individual-, facility-, and clinical-factors predictive of experiencing unsuccessful treatment outcomes. Children with fevers and abdominal findings suggestive of TB disease should be tested for TB and followed closely throughout treatment to ensure necessary support for successful completion of treatment.