Risk factors for death during treatment in pulmonary tuberculosis patients in South India: A cohort study

Silicosis as a predictor of tuberculosis mortality and treatment failure and need for incorporation in differentiated TB care models in India

BACKGROUND

Differentiated tuberculosis (TB) care is an approach to improve treatment outcomes by tailoring TB management to the particular needs of patient groups based on their risk profile and comorbidities. In silicosis-prone areas, the coexistence of TB and silicosis may exacerbate treatment outcomes. The objective of the study was to determine predictors of TB-related mortality, treatment failure, and loss to follow-up in a silicosis-prone region of western India.

METHODS

A retrospective cohort was conducted among 2748 people with TB registered between January 2006 and February 2022 in Khambhat, a silicosis-prone block in western India. Death, treatment failure, and loss to follow up were the outcome variables. The significant predictors of each outcome variable were determined using multivariable logistic regression and reported as adjusted odds ratios (aOR) with 95% confidence intervals (CIs).

RESULTS

In the cohort of 2,748 people with TB, 5% presented with silicosis, 11% succumbed to the disease, 5% were lost to follow-up during treatment, and 2% encountered treatment failure upon completion of therapy. On multivariable logistic regression, concomitant silicosis [aOR 2.3 (95% CI 1.5-3.5)], advancing age [aOR 1.03 (95% CI 1.02-1.04)], male gender [aOR 1.4 (95% 1.1-1.9)], human immunodeficiency virus (HIV) positive [aOR 2.2 (95% 1.02-4.6)], and previous TB treatment [aOR 1.5 (95% CI 1.1-1.9)] significantly predicted mortality among people with TB. Concomitant silicosis [aOR 3 (95% CI 1.4-6.5)], previous TB treatment [aOR 3 (95% CI 2-6)], and multi-drug resistant TB [aOR 18 (95% CI 8-41)] were the significant predictors of treatment failure on adjusted analysis. Advancing age [aOR 1.012 (1.001-1.023)], diabetes [aOR 0.6 (0.4-0.8)], and multi-drug resistance [aOR 6 (95% CI 3-12)] significantly predicted loss to follow-up after adjusting for confounders.

CONCLUSIONS

Controlling silicosis might decrease TB mortality and treatment failure in silicosis-prone regions. The coexistence of HIV and silicosis may point to an increase in TB deaths in silicosis-prone areas. Silicosis should now be acknowledged as a major comorbidity of TB and should be included as one of the key risk factors in the differentiated TB care approach. Primary care physicians should have a high clinical suspicion for silicosis among individuals diagnosed with TB in silicosis-prone blocks.

A nomogram for predicting mortality of patients initially diagnosed with primary pulmonary tuberculosis in Hunan province, China: a retrospective study

Objective

According to the Global Tuberculosis Report for three consecutive years, tuberculosis (TB) is the second leading infectious killer. Primary pulmonary tuberculosis (PTB) leads to the highest mortality among TB diseases. Regretfully, no previous studies targeted the PTB of a specific type or in a specific course, so models established in previous studies cannot be accurately feasible for clinical treatments. This study aimed to construct a nomogram prognostic model to quickly recognize death-related risk factors in patients initially diagnosed with PTB to intervene and treat high-risk patients as early as possible in the clinic to reduce mortality.

Methods

We retrospectively analyzed the clinical data of 1,809 in-hospital patients initially diagnosed with primary PTB at Hunan Chest Hospital from January 1, 2019, to December 31, 2019. Binary logistic regression analysis was used to identify the risk factors. A nomogram prognostic model for mortality prediction was constructed using R software and was validated using a validation set.

Results

Univariate and multivariate logistic regression analyses revealed that drinking, hepatitis B virus (HBV), body mass index (BMI), age, albumin (ALB), and hemoglobin (Hb) were six independent predictors of death in in-hospital patients initially diagnosed with primary PTB. Based on these predictors, a nomogram prognostic model was established with high prediction accuracy, of which the area under the curve (AUC) was 0.881 (95% confidence interval [Cl]: 0.777-0.847), the sensitivity was 84.7%, and the specificity was 77.7%.Internal and external validations confirmed that the constructed model fit the real situation well.

Conclusion

The constructed nomogram prognostic model can recognize risk factors and accurately predict the mortality of patients initially diagnosed with primary PTB. This is expected to guide early clinical intervention and treatment for high-risk patients.

Anemia and anti-tuberculosis treatment outcome in persons with pulmonary tuberculosis: A multi-center prospective cohort study

BACKGROUND

Tuberculosis (TB) remains a major plague of humanity. People with TB (PWTB) are commonly anemic. Here, we assessed whether the severity of anemia in PWTB prior to anti-TB treatment (ATT) was a risk factor for an unfavorable outcome.

METHODS

Patients ≥ 18 years old with culture-confirmed drug-susceptible pulmonary TB enrolled between 2015 and 2019 in a multi-center Brazilian cohort were followed for up to 24 months and classified according to anemia severity (mild, moderate, and severe), based on hemoglobin levels. A multinomial logistic regression model was employed to assess whether anemia was associated with unfavorable outcome (death, failure, loss to follow-up, regimen modification or relapse), compared to treatment success (cure or treatment completion).

RESULTS

Among 786 participants who met inclusion criteria, 441 (56 %) were anemic at baseline. Patients with moderate/severe anemia were more HIV-seropositive, as well as more symptomatic and had higher frequencies of unfavorable outcomes compared to the other groups. Moderate/severe anemia (adjusted OR [aOR]: 7.80, 95 %CI:1.34-45.4, p = 0.022) was associated with death independent of sex, age, BMI, HIV and glycemic status.

CONCLUSION

Moderate/severe anemia prior to ATT was a significant risk factor for death. Such patients should be closely monitored given the high risk of unfavorable ATT outcomes.

The trend of tuberculosis case notification and predictors of unsuccessful treatment outcomes in Samdrup Jongkhar district, Bhutan: A fourteen-year retrospective study

Tuberculosis (TB) continues to be an important public health issue in Bhutan. This study aims to describe the trend of tuberculosis and investigate factors associated with a unsuccessful treatment outcome in Samdrup Jongkhar District in Bhutan.

A fourteen-year (2004–2017) case records in two TB centres of Dewathang and Samdrup Jongkhar Hospitals were reviewed and analyzed to examine trends in case notification and treatment outcomes. Univariable and multivariable logistic regression analysis was undertaken to identify covariates of unsuccessful TB treatment.

Of the total of 820 TB cases registered in surveillance record, 729 cases were analysed. Males made up 53.8% (397) of total cases and the median age was 29 years (range: 2–87 years). A gradual downward trend in TB case notification was noticed in the district with overall case notification rate of 139/100,000 during the study period. The annual treatment success rate was over 90% except for years 2013–2015 with overall treatment success rate for the study period at 93%. A re-treatment TB patient, sputum-positive at the second month of treatment and being of Indian nationality were significant correlates of unsuccessful treatment outcomes. The overall TB inclidence has declined and TB treatment success rate was above WHO recommended 90% in Samdrup Jongkhar District during the study period. A special attention should be paid to the poor treatment outcome predictors including re-treatment cases and failed sputum conversion at the second month of treatment.