Eastern Analytical (United States)

Patients with cancer are increasingly prescribed oral therapies, bearing greater responsibility for self-management of treatment adherence and adverse events. We conducted a randomized trial to test the use of a smartphone mobile app to improve symptoms and adherence to oral cancer therapy. From February 18, 2015, through December 31, 2016, 181 patients with diverse cancers who were prescribed oral therapy were randomized to receive either the smartphone mobile app or standard care. The mobile app included a medication plan with reminders, a symptom-reporting module, and patient education. Primary outcomes were adherence (per electronic pill caps), symptom burden (per MD Anderson Symptom Inventory), and quality of life (per the Functional Assessment of Cancer Therapy-General). Participants also completed self-report measures of medication adherence, anxiety and depression symptoms, social support, quality of care, and healthcare utilization. Linear regression was used to assess intervention effects on adherence and change in self-report outcomes from baseline to week 12, controlling for baseline scores and social support. Study groups did not differ across any outcome measure, with an overall mean adherence of 78.81% (SD, 26.66%) per electronic pill caps. However, moderation analyses showed that intervention effects on the primary adherence measure varied by baseline self-reported adherence and anxiety symptoms. Specifically, adherence rates per electronic pill caps were higher in patients randomized to the mobile app versus standard care within the subsamples of patients who reported baseline adherence problems (mean difference, -22.30%; 95% CI, -42.82 to -1.78; P=.034) and elevated anxiety (mean difference, -16.08%; 95% CI, -31.74 to -0.41; P=.044). Although the mobile app may not improve outcomes for all patients prescribed oral cancer therapy, the intervention may be beneficial for those with certain risk factors, such as difficulties with adherence or anxiety.

This chapter contains sections titled: Introduction Ion Sources that can Require a Discrete Interface Between Chromatograph and Source Ion Sources not Requiring a Discrete Interface Source–Analyzer Interfaces Based on Ion Mobility Summary of Key Concepts Appendix 5.1: Methods of Sample Preparation for Analysis by MALDI

This chapter contains sections titled: Introduction The Analyte and the Matrix Extraction and Clean-Up: Sample Preparation Methods Chromatographic Practicalities Summary of Key Concepts Appendix 4.1 Responses of Chromatographic Detectors: Concentration vs Mass–Flux Dependence

Polychlorinated dibenzo-p-dioxins and dibenzofurans (PCDD/Fs) were analyzed in storm water collected from 15 outfalls in San Francisco Bay, California, considered representative of areas located adjacent to petroleum refineries and mixed urban/commercial/residential land uses. Storm water sampling was conducted hourly over a 12-h period at two outfalls located near the city of Oakland and the suburban community of Benicia, which represent urban and mixed urban/light industrial land uses, respectively. Sampling was conducted hourly to determine temporal changes in the concentrations and distributions of PCDD/Fs during the first major rainstorm event of the 1995/96 winter season. In addition, storm water sampling was conducted in December 1995 and February/April 1996 at six publicly owned treatment work (POTW) outfalls located adjacent to developed, undeveloped, mixed residential/commercial, and industrial lands. Storm water sampling also was conducted at five outfalls located adjacent to petroleum refineries. The sampling results were used to examine changes in PCDD/F loadings to San Francisco Bay at the onset and midway through the winter rainy season and to characterize differences in PCDD/F concentrations, if any, between refinery and nonrefinery areas. The concentrations of tetra- through octa-chlorinated homologues and 2,3,7,8-substituted congeners were assayed in filtered storm water samples according to US EPA Method 1613A. Principal components analysis (PCA) was used as an exploratory technique to examine the similarities and differences in the distributions of PCDD/Fs in storm water from different outfalls. The sampling results showed few significant differences between storm water discharged from outfalls located in mixed urban/commercial/residential areas and outfalls located adjacent to petroleum refineries. The concentrations of 2,3,7,8-TCDD were below the analytical limits of detection in all storm water samples, with the exception of samples collected after the sixth hour of sampling at the Oakland outfall. Fingerprint patterns were generally dominated by the higher chlorinated PCDD/F congeners including OCDD, OCDF, and 1,2,3,4,6,7,8-HpCDD. Total TEQs were generally below US EPA ambient water quality criteria and aquatic ecotoxicology guideline values. The results of this study strongly suggest that discrete sampling of storm water outfalls is insufficient to characterize the concentrations and distributions of persistent hydrophobic contaminants such as PCDD/Fs. In addition to surface water runoff from the city of Oakland, other nonindustrialized urban locations may represent important sources of PCDD/Fs to San Francisco Bay.http://link.springer-ny.com/link/service/journals/00244/bibs/37n3p290.html