Objectives: Despite substantial evidence supporting the efficacy of stimulant medication for children with attention-deficit/hyperactivity disorder (ADHD), adherence to stimulant treatment is often suboptimal. Applying social/cognitive theories to understanding and assessing parent attitudes toward initiating medication may provide insight into factors influencing parent decisions to follow ADHD treatment recommendations. This report describes results from formative research that used focus groups to obtain parent input to guide development of a provider-delivered intervention to improve adherence to stimulants. Methods: Participants were caregivers of children with ADHD who were given a stimulant treatment recommendation. Focus groups were recorded and transcribed verbatim. Data were analyzed by inductive, grounded theory methods as well as a deductive analytic strategy using an adapted version of the Unified Theory of Behavior Change to organize and understand parent accounts. Results: Five groups were conducted with 27 parents (mean child age=9.35 years; standard deviation [SD]=2.00), mean time since diagnosis=3.33 years (SD=2.47). Most parents (81.5%) had pursued stimulant treatment. Inductive analysis revealed 17 attitudes facilitating adherence and 25 barriers. Facilitators included parent beliefs that medication treatment resulted in multiple functional gains and that treatment was imperative for their children's safety. Barriers included fears of personality changes and medication side effects. Complex patterns of parent adherence to medication regimens were also identified, as well as preferences for psychiatrists who were diagnostically expert, gave psychoeducation using multiple modalities, and used a chronic illness metaphor to explain ADHD. Theory-based analyses revealed conflicting expectancies about treatment risks and benefits, significant family pressures to avoid medication, guilt and concern that their children required medication, and distorted ideas about treatment risks. Parents, however, took pride in successfully pursuing efforts to manage their child behaviorally and to avoid medication when possible. Conclusions: Focus group data identified social, cognitive, and affective influences on treatment decision making. Results support prior research comparing family/social functioning, physician characteristics, and adherence. Findings suggest that parent attitudes to psychiatric care need to be assessed comprehensively at initial evaluation to aid the development of psychoeducational messages, and a more careful consideration about how parents interpret and respond to adherence-related questioning.
Wiskott–Aldrich syndrome protein (WASPs) control actin dynamics in cellular processes, including cell motility, receptor-mediated endocytosis, bacterial invasion, and vesicular trafficking. We demonstrated that WASH, a recently identified WASP family protein, colocalizes on endosomal subdomains with the cargo-selective complex (CSC) of the retromer, where it regulates retrograde sorting from endosomes in an actin-dependent manner. However, the mechanism of WASH recruitment to these retromer-enriched endosomal subdomains is unclear. Here we show that a component of the WASH regulatory complex (SHRC), FAM21, which contains 21 copies of a novel L-F-[D/E]3-10-L-F motif, directly interacts with the retromer CSC protein VPS35. Endosomal localization of FAM21 is VPS35 dependent and relies on multivalency of FAM21 repeat elements. Using a combination of pull-down assays and isothermal calorimetry, we demonstrate that individual repeats can bind CSC, and binding affinity varies among different FAM21 repeats. A high-affinity repeat can be converted into a low-affinity one by mutation of a hydrophobic residue within the motif. These in vitro data mirror the localization of FAM21 to retromer-coated vesicles in cells. We propose that multivalency enables FAM21 to sense the density of retromer on membranes, allowing coordination of SHRC recruitment, and consequent actin polymerization, with retromer sorting domain organization/maturation.
Evaluation of the Bruker Biotyper and Vitek MS Matrix-Assisted Laser Desorption Ionization–Time of Flight Mass Spectrometry Systems for Identification of Nonfermenting Gram-Negative Bacilli Isolated from Cultures from Cystic Fibrosis Patients
ABSTRACTThe Bruker Biotyper and Vitek MS matrix-assisted laser desorption ionization–time of flight (MALDI-TOF) mass spectrometry (MS) instruments were evaluated for the identification of nonfermenting Gram-negative bacilli (NFGNB) by a blinded comparison to conventional biochemical or molecular methods. Two hundred NFGNB that were recovered from cultures from cystic fibrosis patients in the University of Iowa Health Care (UIHC) Microbiology Laboratory between 1 January 2006 and 31 October 2010 were sent to Mayo Clinic for analysis with the Bruker Biotyper (software version 3.0) and to bioMérieux for testing with Vitek MS (SARAMIS database version 3.62). If two attempts at direct colony testing failed to provide an acceptable MALDI-TOF identification, an extraction procedure was performed. The MS identifications from both of these systems were provided to UIHC for comparison to the biochemical or molecular identification that had been reported in the patient record. Isolates with discordant results were analyzed by 16S rRNA gene sequencing at UIHC. After discrepancy testing, the Bruker Biotyper result agreed with the biochemical or molecular method, with 72.5% of isolates to the species level, 5.5% to the complex level, and 19% to the genus level (3% not identified). The level of agreement for Vitek MS was 80% species, 3.5% complex, 6% genus, and 3.5% family (7% not identified). Both MS systems provided rapid (≤3 min per isolate) and reliable identifications. The agreement of combined species/complex/genus-level identification with the reference method was higher for the Bruker Biotyper (97% versus 89.5%,P= 0.004) but required an extraction step more often. Species-level agreement with the reference method was similar for both MS systems (72.5% and 80%,P= 0.099).
Predicting missing biomarker data in a longitudinal study of Alzheimer disease