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Author: search.filters.author.Mphande-Nyasulu, Fingani AnnieSubject: search.filters.subject.Diabetes

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    Prevalence of tuberculosis (TB), including multi-drug-resistant and extensively-drug-resistant TB, and association with occupation in adults at Sirindhorn Hospital, Bangkok
    (2022-03-01)
    Mphande-Nyasulu, Fingani Annie
    ;
    Puengpipattrakul, Paisal
    ;
    Praipruksaphan, Mathuwadee
    ;
    Keeree, Arada
    ;
    Ruanngean, Karakade
    Background: Tuberculosis (TB) affects both child and adult populations worldwide. Objectives: This retrospective study was conducted to survey the prevalence of TB and its association with patient occupation in an adult population diagnosed with TB at Sirindhorn Hospital in 2018. Methods: Data were extracted from the medical records of 186 patients with TB, and prevalence and odds ratios were calculated. Results: Pulmonary (83.3%) and extrapulmonary TB (17.7%) were observed among the cases. Overall, 70.4% of cases were male and 29.6% were female. Mono-drug-resistant TB, multi-drug-resistant TB and extensively-drug-resistant TB were observed in 2.72%, 4.1% and 0.68% of cases, respectively. Although not statistically significant, individuals with comorbidities had a 2.16-fold [95% confidence interval (CI) 0.33–13.98] higher risk of TB compared with those without comorbidities. Unemployed patients with TB were 4-fold (95% CI 0.82–19.42) more likely to have hypertension than employed patients or traders. The risk of TB among patients with human immunodeficiency virus (HIV) infection was 2.22-fold (95% CI 0.93–5.31) higher among females compared with males, and relapsed patients had a 0.92-fold (95% CI 0.19–4.47) lower risk of HIV infection as a comorbidity compared with new TB cases. Conclusion: Patient occupation could play a role in the prevalence of TB among communities. The highest prevalence of TB was observed among unemployed subjects, and unemployed patients with TB were more likely to have hypertension as a comorbidity. Mapping the zones/areas of residence for patients with TB could assist in identifying TB hot spots, and could improve understanding of the drivers of the high TB burden and associated socio-economic factors. More studies are required to further understand the drivers that are leading to the high TB burden and the risks posed by occupations.