The incidence of initial CS-MRSA events increased more than 6-fold in a 4-year period. The associations between CA-MRSA infection and HIV severity indicators merit examination in other cohorts.

These data suggest that the reproducibility of key screening measures is moderate at best but of similar magnitude to that of other studies of anal and cervical dysplasia screening. As candidate interventions to treat or prevent precursor lesions enter clinical development, standardization and improvement of measurement methods are essential.

The objectives of this research were to assess prevalence and predictors of early antiretroviral therapy adherence using multiple indicators and to estimate effects of early adherence on subsequent HIV viral load and CD4+ lymphocyte responses. Study subjects were adults with HIV infection referred to an antiretroviral therapy-monitoring clinic for initiation or change in therapy between March 1998 and June 1999. The design was a prospective observational cohort involving baseline interview followed by 30 days of electronic adherence monitoring (MEMS), 30-day interview, and follow-up viral load at 1, 3, and 6 months. Adherence indicators included MEMS therapeutic coverage, observed/expected cap openings, and self-reported adherence assessed at 30 days. Of 235 consenting patients, 60 (26%) failed to complete 30 days of electronic monitoring (noncompleters). At 6 months, mean change from baseline plasma viral load was inferior among noncompleters (0.5 log vs. 1.7 log). Predictors of adherence, varying by adherence metric, included: gender, race, prior antiretroviral therapy experience, substance abuse, prior adherence behavior, health beliefs, and pharmacist prediction of adherence. Self-reported adherence was more sensitive in predicting viral load responses than MEMS-based measures and identified poor adherence at earlier time points. Approximately a quarter of consenting patients were unable to complete 30 days of MEMS monitoring, and early drop out was a poor prognostic sign. Predictors of adherence varied depending upon how adherence was measured. Differences in virologic response between patients with optimal or poor adherence may not emerge until several months after regimen change or initiation. Structured assessment of self-reported adherence is an inexpensive and useful tool to assist clinicians in monitoring adherence.

BackgroundPrimary objective was to describe the proportion of children newly diagnosed with cancer enrolled on a therapeutic clinical trial. Secondary objectives were to describe reasons for non-enrollment and factors associated with enrollment on trials.MethodsIn this retrospective cohort study, we included children newly diagnosed with cancer between 0 and 14 years of age and diagnosed from 2001 to 2012. We used data from the Cancer in Young People in Canada (CYP-C) national pediatric cancer population-based database. CYP-C captures all cases of pediatric cancer (0–14 years) diagnosed and treated at one of the 17 tertiary pediatric oncology centers in Canada. Non-enrollment was evaluated using univariate and multiple logistic regression analysis.ResultsThere were 9204 children with cancer included, of whom 2533 (27.5%) were enrolled on a clinical trial. The most common reasons cited for non-enrollment were lack of an available trial (52.2%) and physician choice (11.2%). In multiple regression, Asian and Arab/west Asian race were associated with lower enrollment (P = 0.006 and P = 0.032 respectively). All cancer diagnoses were more likely to be enrolled compared to astrocytoma and children with acute lymphoblastic leukemia had an almost 18-fold increased odds of enrollment compared to astrocytoma (P < 0.0001). Greater distance from the tertiary care center was independently associated with non-enrollment (P < 0.0001).ConclusionsIn Canada, 27.5% of children with cancer are enrolled onto therapeutic clinical trials and lack of an available trial is the most common reason contributing to non-enrollment. Future research should better understand reasons for lack of trial availability and physician preferences to not offer trials.

Access to hematopoietic stem cell transplantation (HSCT) in pediatric acute lymphoblastic leukemia (ALL) primarily depends on disease-related factors but may be influenced by social and economic determinants. We included all children aged < 15 years with newly diagnosed ALL in Canada between 2001 and 2018 using the Cancer in Young People in Canada national registry. We examined factors potentially associated with the likelihood of receiving HSCT using univariate and multivariable logistic regression models. A total of 3992 patients with newly diagnosed ALL were included. Three hundred twenty-five (8.1%) received an HSCT and formed the transplant cohort. In multivariable analysis factors independently associated with an increased odds of receiving HSCT were male sex (odds ratio [OR], 1.42; 95% confidence interval [CI], 1.05 to 1.93), initial WBC 50,000 £ 10 9 /L (OR, 1.58; 95% CI, 1.09 to 2.28), mixed phenotype acute leukemia relative to B-precursor ALL (OR, 34.32; 95% CI, 16.64 to 70.79), T cell relative to B-precursor ALL (OR, 1.77; 95% CI, 1.07 to 2.91), unfavorable relative to standard cytogenetics (OR, 3.96; 95% CI, 2.56 to 6.12), and relapse before HSCT (OR, 32.77; 95%, 23.89 to 44.96). No association was found between race, neighborhood income quintile or region at diagnosis, and receipt of HSCT. Diagnosis at an HSCT treating center (OR, 1.51; 95% CI, 1.09 to 2.09) and residential distance from the ALL treating center (OR, 1.84 for 300 km compared with <100 km; 95% CI, 1.17 to 2.91) were associated with higher odds of receiving HSCT. In a publically funded healthcare system, children with ALL had equitable access to HSCT, which was largely governed by biologic disease-related factors. Patients diagnosed at an HSCT performing center and patients who live farthest away from their treatment center had higher odds of receiving HSCT, although the effect was small, possibly suggesting preferential referral to HSCT for some patients.