The TIP-RFT assessment, along with measures of self-efficacy and stress, appear to be useful measures of overall transition readiness for youth and young adults with SCD. Future studies should evaluate whether self-management skill development and health outcomes are indeed affected by programs to improve readiness for transition from pediatric to adult care.

PURPOSE Helicobacter pylori (HP) and Epstein Barr virus (EBV) infections induce chronic gastritis (CG) and are accepted carcinogenics of gastric cancer (GC). Our objective for this study was to determine the prevalence of these agents and clinicopathological features of GC and CG associated with the infection. PATIENTS AND METHODS A single-center cohort of 375 Peruvian patients with GC and 165 control subjects with CG were analyzed. Evaluation of HP and EBV genes was performed through quantitative polymerase chain reaction. RESULTS Prevalence of HP was 62.9% in the whole population and 60.8% in the GC subset. The cagA gene was detected in 79.9%; vacAs1 and vacAm1 alleles in 41.6% and 60.7%, respectively; and concurrent expression of vacAs1 and vacAm1 in 30.4% of infected patients in the whole series. The prevalence of EBV was 14.1% in the whole population and was higher in GC ( P < .001). Coinfection of HP and EBV was found in 7.8% and was also higher in GC in univariate ( P < .001) and multivariate ( P = .011) analyses. Infection rates of HP and EBV were not associated with a geographic location in the whole series. Few clinicopathological features have been associated with infectious status. CONCLUSION Prevalence of HP infection and virulent strains are high in the Peruvian population. Infection by EBV was more frequent in patients with GC.

Our results support that the TIP-RFT is a valid and reliable tool for the assessment of transition readiness for youths with SCD. The TIP-RFT assessment can guide interventions to improve transition readiness and can provide a foundation for future research on other variables that might be associated with transition readiness.

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Key Points Question Is neighborhood socioeconomic status useful for predicting 1-year health care use rates and mortality in the general adult population? Findings In this diagnostic study of data from 2 951 588 patients, neighborhood socioeconomic status did not improve the predictive performance of models regardless of modeling strategy. Meaning Neighborhood socioeconomic status may not improve prediction models for short-term use and mortality in insured populations.