Sociodemographic and health profile of TB/HIV co-infection in Brazil: a systematic review

[Temporal trend in the evaluation of adequate management for diagnosis and treatment of tuberculosis in primary health care in Brazil (2012-2018)]

This study aimed to analyze the presence of infrastructure and adequate work processes in primary health care (PHC) for the diagnosis, monitoring, and treatment of tuberculosis (TB) in Brazil from 2012 to 2018. This is a temporal trend study carried out with data from basic health units (BHU) evaluated in the cycles I (2012), II (2014), and III (2018) of the Brazilian National Program for Improvement of Access and Quality of Basic Care (PMAQ-AB). Variance-weighted least-squares regression was used to estimate annual changes, in percentage points, of the infrastructure and adequate work process of TB in relation to the macroregion, municipality size, Municipal Human Development Index, and Family Health Strategy coverage. The sample consisted of 13,842 BHU and 17,202 health teams in cycle I; 24,055 BHU and 29,778 teams in cycle II; and 28,939 BHU and 37,350 teams in cycle III. There was a gradual improvement in the proportion of infrastructure and work process for TB care over the three cycles of the PMAQ-AB, but none of the sites is fully adequate. The greatest trend of adequate infrastructure was observed in the South Region, and in 2018, 76.5% of the UBS had all the instruments for TB care. The greatest trend of adequate work process was in the North Region, and in 2018, 50.8% of the teams had all the items for TB care. The Brazilian National Program for Tuberculosis Control and the PMAQ-AB have contributed to these advances, but there is still a need to promote public policies that ensure the continuous improvement of TB care in PHC, the effectiveness of TB control and prevention measures.

Host-Pathogen Interaction: Biology and Public Health

Interactions between host and pathogenic microorganisms are common in nature and have a significant impact on host health, often leading to several types of infections. These interactions have evolved as a result of the ongoing battle between the host's defense mechanisms and the pathogens' invasion strategies. In this chapter, we will explore the evolution of host-pathogen interactions, explore their molecular mechanisms, examine the different stages of interaction, and discuss the development of pharmacological treatments. Understanding these interactions is crucial for improving public health, as it enables us to develop effective strategies to prevent and control infectious diseases. By gaining insights into the intricate dynamics between pathogens and their hosts, we can work towards reducing the burden of such diseases on society.

Factors Associated with the Effectiveness of Regimens for the Treatment of Tuberculosis in Patients Coinfected with HIV/AIDS: Cohort 2015 to 2019

(1) Background: Infection with the Human Immunodeficiency Virus (HIV) is a significant challenge for tuberculosis (TB) control, with increasing mortality rates worldwide. Moreover, the loss to follow-up is very high, with low adherence to treatment, resulting in unfavorable endpoints. This study aimed to analyze the effectiveness of TB treatment in patients coinfected with HIV/AIDS and its associated factors. (2) Methods: Patients coinfected with TB and HIV/AIDS at a Reference Hospital for infectious diseases were followed up for a maximum of one year from the start of TB treatment until cure or censorship (death, abandonment, and transfer) from 2015 to 2019. The Cox proportional model was used to identify risk factors for effectiveness. (3) Results: Of the 244 patients included in the cohort, 58.2% (142/244) had no treatment effectiveness, 12.3% (30/244) died, and 11.1% (27/244) abandoned treatment. Viral suppression at the onset of TB treatment (HR = 1.961, CI = 1.123-3.422), previous use of Antiretroviral Therapy (HR = 1.676, CI = 1.060-2.651), new cases (HR = 2.407, CI = 1.197-3.501), not using illicit drugs (HR = 1.763, CI = 1.141-2.723), and using the basic TB regimen (HR = 1.864, CI = 1.084-3.205) were significant variables per the multivariate Cox regression analysis. (4) Conclusion: TB treatment for most TB patients coinfected with HIV/AIDS was not effective. This study identified that an undetectable viral load at the beginning of the disease, previous use of ART, not using illicit drugs and not having previously taken anti-TB treatment are factors associated with successful TB treatment.

Risk Stratification and Factors Associated with Abandonment of Tuberculosis Treatment in a Secondary Referral Unit

PURPOSE

To study the factors associated with the risk of discontinuing active tuberculosis treatment among patients in an outpatient referral unit and to analyze the association between patients' abandonment risk score and their odds of discontinuing the treatment.

PATIENTS AND METHODS

In this cohort study, tuberculosis patients were prospectively followed up from June 2012 through July 2019 at a secondary tuberculosis referral unit in Mato Grosso do Sul, Brazil. At initial consultation, patients were interviewed using a standardized questionnaire and were assigned a score for the risk of treatment abandonment by the nurse. Univariate and multivariate analyses were performed using logistic regression.

RESULTS

One hundred and forty-eight patients were included in the study, of which 65.0% (96/148) were male. Their mean age was 43.3 ± 14.8 years (range: 18-89 years). Smoking, drug use, repeated admissions, and a high abandonment risk score were the variables associated with the highest risk of discontinuing the treatment. The rate of tuberculosis and human immunodeficiency virus coinfection was 37.2%. The overall rate of global treatment abandonment was 10.8% (95% confidence interval [CI]: 6.1-16.2). Upon stratification of patients that abandoned by the risk score, 22.9% (8/35) of the ones that abandoned had a high risk, 10.9% (6/55) had an intermediate risk, and 3.5% (2/58) had a low risk of treatment abandonment. In multivariate analysis, the factors associated with abandoning the treatment were smoking [adjusted odds ratio (aOR) = 4.91 (95% CI: 1.08, 22.32)] and undergoing retreatment (aOR) = 3.66 (95% CI: 1.04, 12 88).

CONCLUSION

Smoking and undergoing retreatment were independent risk factors for tuberculosis treatment abandonment in this center. Risk stratification can help prioritize the strengthening of treatment adherence among patients at higher risk of abandoning treatment in referral units.

Occupational Tuberculosis Among Laboratory Workers in South Africa: Applying a Surveillance System to Strengthen Prevention and Control

Background: Tuberculosis (TB) is recognized as an important health risk for health workers, however, the absence of occupational health surveillance has created knowledge gaps regarding occupational infection rates and contributing factors. This study aimed to determine the rates and contributing factors of active TB cases in laboratory healthcare employees at the National Health Laboratory Service (NHLS) in South Africa, as identified from an occupational surveillance system. Methods: TB cases were reported on the Occupational Health and Safety Information System (OHASIS), which recorded data on occupation type and activities and factors leading to confirmed TB. Data collected from 2012 to 2019 were used to calculate and compare TB risks within NHLS occupational groups. Results: During the study period, there were 92 cases of TB identified in the OHASIS database. General workers, rather than skilled and unskilled laboratory workers and medical staff, had the highest incidence rate (422 per 100,000 person-years). OHASIS data revealed subgroups that seemed to be well protected, while pointing to exposure situations that beckoned policy development, as well as identified subgroups of workers for whom better training is warranted. Conclusions: Functional occupational health surveillance systems can identify subgroups most at risk as well as areas of programme success and areas where increased support is needed, helping to target and monitor policy and procedure modification and training needs.