Tuberculosis and diabetes: association with sociodemographic characteristics and diagnosis and treatment of tuberculosis. Brazil, 2007-2011

Geographic inequalities and factors associated with unfavorable outcomes in diabetes-tuberculosis and diabetes-covid comorbidities in Brazil

The rapid spread of COVID-19 have overwhelmed health systems, especially in the care of chronic disease such as tuberculosis and diabetes. The objective of the study was to analyze the magnitude and relevance of tuberculosis-diabetes and diabetes-COVID-19 comorbidities in spatial risk areas and their factors associated with unfavorable outcomes in the Brazilian population between 2020 and 2022. An ecological study was carried out in Brazilian municipalities. The population was composed by cases of tuberculosis-diabetes and diabetes-COVID-19 comorbidities, registered in the Influenza Epidemiological Surveillance Information System (SIVEP-GRIPE) and in DATASUS from 2020 to 2022. The Scan Statistics technique was used to identify spatial risk clusters. Binary logistic regression was then employed to understand the relationship between outcomes and comorbidities, considering clinical and sociodemographic variables. A total of 24,750 cases of tuberculosis-diabetes comorbidity were identified, which consisted of an incidence of 3.2 cases per 100,000 inhabitants. Risk clusters were identified in the Central-West and North regions. 303,210 cases of diabetes- COVID-19 comorbidity were identified, resulting in an incidence of 0.4 cases per 100,000 inhabitants. São Paulo-SP, Rio de Janeiro-RJ and Belo Horizonte-MG were the municipalities with the highest spatial risk of illness. The analysis of the spatial risk areas revealed distinct patterns in the geographic distribution of comorbidities. Based on the findings, it is concluded that comorbidities between tuberculosis and diabetes, as well as between COVID-19 and diabetes, represent significant challenges for public health in Brazil, deserving attention from health authorities and the scientific community.

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

OBJECTIVE

To identify vulnerability factors associated with unsuccessful tuberculosis treatment outcomes between 2011 and 2021 in Manaus, Amazonas.

METHOD

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.

RESULTS

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).

CONCLUSION

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.

Prevalence and Clinical Profiling of Dysglycemia and HIV Infection in Persons With Pulmonary Tuberculosis in Brazil

BACKGROUND

There are scarce data on the prevalence and disease presentation of HIV in patients with tuberculosis (TB) and dysglycemia (diabetes [DM] and prediabetes [PDM]), especially in TB-endemic countries.

METHODS

We assessed the baseline epidemiological and clinical characteristics of patients with culture-confirmed pulmonary TB, enrolled in a multicenter prospective cohort in Brazil (RePORT-Brazil) during 2015-2019. Dysglycemia was defined by elevated glycated hemoglobin and stratified as PDM or DM. Additionally, we used data from TB cases obtained through the Brazilian National Notifiable Diseases Information System (SINAN), during 2015-2019. In SINAN, diagnosis of diabetes was based on self-report. Logistic regression models were performed to test independent associations between HIV, dysglycemia status, and other baseline characteristics in both cohorts.

RESULTS

In the RePORT-Brazil cohort, the prevalence of DM and of PDM was 23.7 and 37.8%, respectively. Furthermore, the prevalence of HIV was 21.4% in the group of persons with TB-dysglycemia and 20.5% in that of patients with TBDM. In the SINAN cohort, the prevalence of DM was 9.2%, and among the TBDM group the prevalence of HIV was 4.1%. Logistic regressions demonstrated that aging was independently associated with PDM or DM in both the RePORT-Brazil and SINAN cohorts. In RePORT-Brazil, illicit drug use was associated with PDM, whereas a higher body mass index (BMI) was associated with DM occurrence. Of note, HIV was not associated with an increased risk of PDM or DM in patients with pulmonary TB in both cohorts. Moreover, in both cohorts, the TBDM-HIV group presented with a lower proportion of positive sputum smear and a higher frequency of tobacco and alcohol users.

CONCLUSION

There is a high prevalence of dysglycemia in patients with pulmonary TB in Brazil, regardless of the HIV status. This reinforces the idea that DM should be systematically screened in persons with TB. Presence of HIV does not substantially impact clinical presentation in persons with TBDM, although it is associated with more frequent use of recreational drugs and smear negative sputum samples during TB screening.

Tuberculosis and diabetes mellitus: sociodemographic and clinical profile in Brazilian municipalities

OBJECTIVE

To analyze the sociodemographic and clinical profile of tuberculosis cases with Diabetes Mellitus in Brazilian municipalities in the states of São Paulo, Paraná and Rio Grande do Norte.

METHOD

This is a cross-sectional study, whose population consisted of tuberculosis cases notified between 2010 and 2014. Data were collected from secondary sources. In the data analysis, descriptive analysis and multiple correspondence analysis techniques were used.

RESULTS

The prevalence of diabetes among tuberculosis cases ranged from 4.5% to 13.4% in the municipalities. Evidence of an association was observed between tuberculosis/diabetes comorbidity and female population, age of 61 years or more, low schooling, negative HIV/AIDS, longer treatment time, self-administered treatment and cure.

CONCLUSION

The study showed a greater cure outcome in the profile of people with tuberculosis/diabetes comorbidity, even among those on a self-administered regime, which could favor the development of specific guidelines for the management of tuberculosis in these people.

Trend and factors associated with Tuberculosis-Diabetes Mellitus comorbidity in a Northeastern Brazilian municipality

OBJECTIVES

to identify the trend and factors associated with Tuberculosis-Diabetes Mellitus comorbidity in Imperatriz, Maranhão.

METHODS

epidemiological temporal-series study, conducted in a Northeastern Brazilian municipality. The population consisted of Tuberculosis cases with Diabetes Mellitus-associated aggravation notified in the Notifiable Diseases Information System (SINAN) between 2009 and 2018. We determined the prevalence and trend of comorbidity using Prais-Winsten regressions and to identify associated factors employed Poisson regression.

RESULTS

prevalence ranged from 3.23% in 2014 to 19.51% in 2018, with a mean of 11.5% for the period, showing an increasing trend. Age groups 30 to 59 years and ≥ 60 years, education < 8 years, and clinical form of pulmonary Tuberculosis were risk factors for comorbidity.

CONCLUSIONS

The increasing trend of comorbidity and its associated factors alert us to the need to improve customer service at all levels of health care.

The prevalence and risks of major comorbidities among inpatients with pulmonary tuberculosis in China from a gender and age perspective: a large-scale multicenter observational study

In clinical practice, PTB patients have concurrent many types of comorbidities such as pneumonia, liver disorder, diabetes mellitus, hematological disorder, and malnutrition. Detecting and treating specific comorbidities and preventing their development are important for PTB patients. However, the prevalence of most comorbid conditions in patients with PTB is not well described. We conducted a large-scale, multicenter, observational study to elucidate and illustrate the prevalence rates of major comorbidities in inpatients at 21 hospitals in China. The 19 specific comorbidities were selected for analysis in this patient cohort, and stratified the inpatient cohort according to age and gender. A total of 355,929 PTB inpatients were included, with a male:female ratio of 1.98 and the proportion of ≥ 65 years PTB inpatients was the most. Approximately 70% of PTB inpatients had at least one defined type of comorbidity. The prevalence of 19 specific comorbidities in inpatients with PTB was analyzed, with pneumonia being the most common comorbidity. The prevalence of most comorbidities was higher in males with PTB except thyroid disorders, mental health disorders, etc. The prevalence of defined most comorbidities in patients with PTB tended to increase with increasing age, although some specific comorbidities tended to increase initially then decrease with increasing age. Our study describes multiple clinically important comorbidities among PTB inpatients, and their prevalence between different gender and age groups. The results will enhance the clinical aptitude of physicians who treat patients with PTB to recognize, diagnose, and treat PTB comorbidities early.