METHODS: The HIV-CAUSAL Collaboration consisted of 12 cohorts from the United States and Europe of HIV-positive, ART-naive, AIDS-free individuals aged ≥18 years with baseline CD4 cell count and HIV RNA levels followed up from 1996 through 2007. We estimated hazard ratios (HRs) for cART versus no cART, adjusted for time-varying CD4 cell count and HIV RNA level via inverse probability weighting.
RESULTS: Of 65 121 individuals, 712 developed tuberculosis over 28 months of median follow-up (incidence, 3.0 cases per 1000 person-years). The HR for tuberculosis for cART versus no cART was 0.56 (95% confidence interval [CI], 0.44-0.72) overall, 1.04 (95% CI, 0.64-1.68) for individuals aged >50 years, and 1.46 (95% CI, 0.70-3.04) for people with a CD4 cell count of <50 cells/μL. Compared with people who had not started cART, HRs differed by time since cART initiation: 1.36 (95% CI, 0.98-1.89) for initiation <3 months ago and 0.44 (95% CI, 0.34-0.58) for initiation ≥3 months ago. Compared with people who had not initiated cART, HRs <3 months after cART initiation were 0.67 (95% CI, 0.38-1.18), 1.51 (95% CI, 0.98-2.31), and 3.20 (95% CI, 1.34-7.60) for people <35, 35-50, and >50 years old, respectively, and 2.30 (95% CI, 1.03-5.14) for people with a CD4 cell count of <50 cells/μL.
CONCLUSIONS: Tuberculosis incidence decreased after cART initiation but not among people >50 years old or with CD4 cell counts of <50 cells/μL. Despite an overall decrease in tuberculosis incidence, the increased rate during 3 months of ART suggests unmasking IRIS.
OBJECTIVE: To obtain population-based data on Mycobacterium tuberculosis drug resistance in Pakistan.
METHODS: To obtain drug resistance data, we conducted a population-based study of TB cases in all provinces of Pakistan. We performed culture and drug susceptibility testing on M. tuberculosis isolates from patients with a prior history of anti-tuberculosis treatment (retreatment cases) from all over the country.
RESULTS: Of 544 isolates from previously treated cases, 289 (53.1%) were susceptible to all first-line drugs, 255 (46.9%) were resistant to at least one anti-tuberculosis drug and 132 (24.3%) were MDR-TB. Among MDR-TB isolates, 47.0% were ofloxacin (OFX) resistant. Extensively drug-resistant TB was found in two (0.4%) isolates.
CONCLUSION: Prevalence of drug resistance in retreatment isolates was high. The alarmingly high prevalence of OFX resistance among MDR-TB isolates may threaten the success of efforts to control and treat MDR-TB.
SETTING: The study was conducted at a tertiary hospital in the northern region of Peninsular Malaysia. Methods Action research methodology was used.
MAIN OUTCOME MEASURE: Pharmaceutical care issues.
RESULTS: The prevalence of diabetes mellitus among newly diagnosed tuberculosis patients was 15% (53/352). Out of 53 patients identified, 35 participated in the study. Patients' ages ranged between 29 and 73 years (mean of 52 ± 10 years). The male: female ratio was 1.7:1. Pharmaceutical care issues identified by pharmacists were nonadherence, uncontrolled diabetes mellitus, adverse drug reactions and individual patient's medication related problems. Pharmacists were able to intervene and resolve some of the pharmaceutical care issues.
CONCLUSION: Pharmacists played an important role in integrating the provision of care for tuberculosis and diabetes mellitus by providing individualised pharmaceutical care management. There still remains a need to address logistic barriers that impinged on the ability to conduct the pharmaceutical care service to its full potential.
METHODS: A retrospective study was conducted to recognize the epidemiology facts of EPTB. Individual data for EPTB patients were collected from TB registers, laboratory TB registers, treatment cards and TB medical personal files into a standardized study questionnaire. Crude (COR) and adjusted odds ratios (AOR) and 95% confidence intervals (CI) were determined to assess the risk factors for EPTB and unsuccessful treatment outcomes.
RESULTS: There were 1222 EPTB patients presenting 13.1% of all TB cases during 2006-2008. Pleural effusion and lymph node TB were the most frequent types and accounted for 45.1% of all EPTB cases among study participants. Treatment success rate was 67.6%. The best treatment completion rates were found in children ≤15 years (0.478 [0.231-1.028]; p = 0.05). On multivariate analysis, age group 56-65 years (1.658 [1.157-2.376]; p = 0.006), relapse cases (7.078 [1.585-31.613]; p = 0.010), EPTB-DM (1.773 [1.165-2.698]; p = 0.008), patients with no formal (2.266 [1.254-4.095]; p = 0.001) and secondary level of education (1.889 [1.085-3.288]; p = 0.025) were recorded as statistically positive significant risk factors for unsuccessful treatment outcomes. Patients at the risk of EPTB were more likely to be females (1.524 [1.311-1.746]; p
METHODS: Adults living with HIV enrolled in a regional observational cohort in Asia who had initiated combination antiretroviral therapy (cART) were included in the analysis. Factors associated with new TB diagnoses after cohort entry and survival after cART initiation were analysed using Cox regression, stratified by site.
RESULTS: A total of 7355 patients from 12 countries enrolled into the cohort between 2003 and 2016 were included in the study. There were 368 reported cases of TB after cohort entry with an incidence rate of 0.99 per 100 person-years (/100 pys). Multivariate analyses adjusted for viral load (VL), CD4 count, body mass index (BMI) and cART duration showed that CTX reduced the hazard for new TB infection by 28% (HR 0.72, 95% CI l 0.56, 0.93). Mortality after cART initiation was 0.85/100 pys, with a median follow-up time of 4.63 years. Predictors of survival included age, female sex, hepatitis C co-infection, TB diagnosis, HIV VL, CD4 count and BMI.
CONCLUSIONS: CTX was associated with a reduction in the hazard for new TB infection but did not impact survival in our Asian cohort. The potential preventive effect of CTX against TB during periods of severe immunosuppression should be further explored.
METHOD: Retrospective data were collected from medical records and the patients were observed until the completion of their medication. A pharmacoeconomic evaluation was applied to calculate direct and indirect costs.
MAIN OUTCOME MEASURE: Direct and indirect costs of tuberculosis treatment in a government health institution.
RESULTS: Two hundred and one tuberculosis patients were included in the study. Different regimens with various durations of treatments were used. The direct medical and non-medical costs as well as indirect costs were calculated and were found to be as follows: US$61.44 for anti-tuberculosis drugs and supplies, US$28.63 for X-ray examinations, US$28.53 for laboratory tests, US$20.03 for healthcare staff time, US$4.28 for hospitalisation, US$43.20 for overhead costs, US$608.11 for transportation and meals and US$118.78 for time away from work. The cost to the patients constitutes approximately 80% of the total cost of the treatment.
CONCLUSION: The cost of treating the illness of tuberculosis per patient was US$916.4. The cost of anti-tuberculosis drugs constituted the highest proportion of the cost to the public health services (31.7%) while the cost to the patient constituted the major proportion of the total cost of the illness (79.4%).