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1.
Trop Med Infect Dis ; 7(8)2022 Aug 19.
Artigo em Inglês | MEDLINE | ID: mdl-36006286

RESUMO

Tuberculosis (TB) is one of the oldest human diseases, and preventing treatment failure is critical. This is because TB cases pose a risk to the immediate and remote communities due to the potential for spread, particularly for multidrug-resistant (MDR) strains that have been associated with higher morbidity and mortality rates. Hence, this study looked at the factors that influence TB treatment outcomes in Southwest Nigeria. We conducted a cross-sectional study with 712 TB patients from 25 directly observed treatment short course (DOTS) centers, out of which 566 (79.49%) were new treatment cases, and 102 (14.33%) were retreatment cases. The outcome variable was computed into successful treatment where 'Yes' was assigned to TB treatment completed and cured, and 'No' was assigned to all the remaining outcomes following the standard TB definition. Independent variables included in the analysis were the patient's socio-demographic characteristics (such as age, sex, distance from the facility, marital status, family type, education, and computed socioeconomic status from modified DHS household assets), clinical and facility parameters (such as the HIV status, facility of access to healthcare, healthcare workers attitudes, services offered at the facility, appearance of the facility, number of people seeking care and waiting time at the facility). Bivariate analysis showed that HIV status (OR: 3.53, 95% CI: 1.83-6.82; p = 0.001), healthcare worker attitude (OR: 2.13, 95% CI: 1.21-3.74; p = 0.01), services offered at the facility (OR: 0.67, 95% CI: 0.49-0.92; p = 0.01), appearance of facility (OR: 0.67, 95% CI: 0.46-0.98; p = 0.04), and number of people seeking care (OR: 2.47, 95% CI: 1.72-3.55; p = 0.001) were associated with higher odds of successful treatment outcome with statistical significance. After multivariate analysis, reactive HIV status (aOR: 3.37, 95% CI: 1.67-6.80; p = 0.001), positive attitude of healthcare workers (aOR: 2.58, 95% CI: 1.36-4.89; p = 0.04), excellent services offered at the healthcare facility (aOR: 0.53, 95% CI: 0.36-0.78; p = 0.001) and few people seeking care (aOR: 2.10, 95% CI: 1.21-3.84; p = 0.001) became independent significant determinants of successful treatment outcome. The study concluded that reactive HIV status, positive attitude of healthcare workers, few people seeking healthcare, and excellent service provided were all factors that contributed to successful treatment outcomes.

2.
BMC Neurol ; 20(1): 381, 2020 Oct 21.
Artigo em Inglês | MEDLINE | ID: mdl-33087095

RESUMO

BACKGROUND: Although South Africa (SA) is facing a high prevalence of HIV infection, there is no literature from this region on a link between Bell's palsy and HIV. The aim of this study was to identify the occurrence of Bell's palsy in relation to demographics, seasons and HIV status among black South Africans. METHODS: This retrospective cohort was conducted among adult black patients, without Bell's palsy in 2003, presenting to the neurology outpatients department at Dr. George Mukhari Academic hospital, Pretoria, South Africa, between 2004 (study baseline) and 2012 (end test). Gender, age, HIV status, and seasons were potential predictors of Bell's palsy using Cox regression model and Kaplan Meier curves. RESULTS: From the baseline of 1487 patients, 20.9% (n = 311) experienced Bell's palsy onset by the end of the study. In univariate analysis, male gender (RR = 2.1 95% CI 1.7-2.5; P <  0.0001), age less than 30 years (RR = 2.9 95% CI 2.4-3.6; P <  0.0001), HIV seropositivity (RR =2.9 95% CI 2.3-4.9; P < 0.0001). The highest incidence in winter (30.3% n = 136/450) vs. incidences during other seasons with Intermediate values during Summer (25.3% n = 136/450) and Autumn (20.7% n = 64/308) and the lowest incidence in Spring (23.7% n = 16/353) P < 0.0001) were predictors of Bell's palsy. In multivariate analysis at adjusting for gender, the most significant and independent predictors of incident Bell's palsy were HIV seropositivity (HR = 6.3 95% CI 4.8-8.3; P < 0.0001), winter (HR = 1.6 95% CI 1.2-2.1; P < 0.0001) vs. other seasons, and younger age < 30 years (HR = 7.1 95% CI 5.6-9.1; P < 0.0001) vs. older age groups. CONCLUSION: Seasonality, younger age and HIV positivity are important and independent risk factors of Bell's palsy. Education and awareness programs on the possible effects of HIV and seasons on the development of Bell's palsy are necessary. This would lead to a better understanding and even a possible development of avoidance measures for this condition amongst young black South Africans.


Assuntos
Paralisia de Bell , População Negra/estatística & dados numéricos , Infecções por HIV , Adulto , Fatores Etários , Paralisia de Bell/complicações , Paralisia de Bell/epidemiologia , Feminino , Infecções por HIV/complicações , Infecções por HIV/epidemiologia , Humanos , Masculino , Estudos Retrospectivos , Estações do Ano , África do Sul/epidemiologia , Adulto Jovem
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