METHODS: Articles published from 2012 to 2021 were searched through seven databases. Studies that established the relationship for risk factors of TB treatment interruption among adult Asian were included. Relevant articles were screened, extracted and appraised using Joanna Briggs Institute's checklists for cohort, case-control and cross-sectional study designs by three reviewers. Meta-analysis was performed using the random effect model in Review Manager software. The pooled prevalence and predictors of treatment interruption were expressed in ORs with 95% CIs; heterogeneity was assessed using the I2 statistic. The publication bias was visually inspected using the funnel plot.
RESULTS: Fifty eligible studies (658 304 participants) from 17 Asian countries were included. The overall pooled prevalence of treatment interruption was 17% (95% CI 16% to 18%), the highest in Southern Asia (22% (95% CI 16% to 29%)), followed by Eastern Asia (18% (95% CI 16% to 20%)) and South East Asia (16% (95% CI 4% to 28%)). Seven predictors were identified to increase the risk of treatment interruption, namely, male gender (OR 1.38 (95% CI 1.26 to 1.51)), employment (OR 1.43 (95% CI 1.11 to 1.84)), alcohol intake (OR 2.24 (95% CI 1.58 to 3.18)), smoking (OR 2.74 (95% CI 1.98 to 3.78)), HIV-positive (OR 1.50 (95% CI 1.15 to 1.96)), adverse drug reactions (OR 2.01 (95% CI 1.20 to 3.34)) and previously treated cases (OR 1.77 (95% CI 1.39 to 2.26)). All predictors demonstrated substantial heterogeneity except employment and HIV status with no publication bias.
CONCLUSION: The identification of predictors for TB treatment interruption enables strategised planning and collective intervention to be targeted at the high-risk groups to strengthen TB care and control in the Asia region.
METHODS: A prospective multicentre cohort study was conducted on paediatric general medical wards in five European and non-European hospitals. ADRs were identified by intensive chart review. Multivariable logistic regression was used to investigate risk factors associated with ADRs. For the risk factor analysis, prescribed drugs were divided into high-risk and low-risk drug groups. Analgesics, anti-epileptics, antibacterials and antimycotics for systemic use, corticosteroids for systemic use and immunosuppressant agents were considered as high-risk groups whereas the remaining drug classes were defined as low-risk drug groups.
RESULTS: A total of 1,253 paediatric patients were identified [Australia (n = 145), Germany (n = 372), Hong Kong (n = 138), Malaysia (n = 291), UK (n = 307)]. A total of 328 ADRs were observed in 16.7% of patients (186/1,115). Use of five or more low-risk drugs per patient or three or more high-risk drugs was a strong predictor for ADRs (OR 4.7, 95% CI 2.4-9.3; OR 6.5, 95% CI 2.7-16.0 respectively; p < 0.001). Older children were more likely to experience ADRs; gender was not significantly associated.
CONCLUSION: To reduce the risk of ADRs in children, clinicians and pharmacists should aim to minimise polypharmacy and be aware of higher ADR risks associated with some drug groups.