Impact of Gastrostomy Feeding Tube Placement on the 1-Year Trajectory of Care in Patients After Stroke.

BACKGROUND: Percutaneous endoscopic gastrostomy (PEG) feeding tubes are commonly placed in acute stroke patients with a need for enteral nutrition. However, PEG tubes are associated with medical complications and a decrease in quality of life. We compared the 1-year care trajectory of stroke patients with and without PEG tube placement to enhance knowledge about the long-term impact of PEG tube placement. METHODS: We conducted a retrospective analysis of commercially insured stroke patients included in the Truven Health MarketScan Research Databases of 2011. We analyzed their index hospital stay and conducted 1-month, 3-months, 6-months, and 1-year follow-ups. We compared admissions to inpatient rehabilitation facilities, acute hospitals, skilled nursing facilities, outpatient hospital visits, and home visits for stroke patients with and without PEG tube placement using unadjusted and adjusted modelling. RESULTS: Of the 8911 included stroke patients, 148 patients (1.7%) had a PEG tube placed during their index hospital stay. After controlling for age, gender, stroke severity, comorbidities, and stroke type, PEG tube placement was an independent predictor for admissions to inpatient rehabilitation facilities and skilled nursing facilities. Furthermore, PEG tube placement was an independent predictor for all-cause, unplanned hospital readmissions in a multivariable logistic model (area under the receiver operating characteristic curve was .84). CONCLUSION: Stroke patients who receive a PEG tube can expect a significantly different care trajectory after being discharged from the acute hospital. Our findings can aide in predicting recovery and planning resources and identifying gaps and points for improvement in stroke care for patients with PEG tube placement.

Aberrant Behaviors and Co-occurring Conditions as Predictors of Psychotropic Polypharmacy among Children with Autism Spectrum Disorders.

OBJECTIVES: The purpose of this study was to identify rates and predictors of psychotropic medication polypharmacy among Medicaid-eligible children in South Carolina with autism spectrum disorder (ASD) from 2000 to 2008. METHODS: Population-based surveillance data were linked with state Medicaid records to obtain a detailed demographic, behavioral, educational, clinical, and diagnostic data set for all Medicaid-eligible 8-year-old children (n=629) who were identified and diagnosed with ASD using standardized criteria. Polypharmacy was defined as having interclass psychotropic medication claims overlapping for ≥30 consecutive days at any time during the 2-year study period. Multivariable logistic regression was used to model predictors of any polypharmacy, and for the three most common combinations. RESULTS: Overall, 60% (n=377) used any psychotropic medication, and 41% (n=153) of those had interclass polypharmacy. Common combinations were attention-deficit/hyperactivity disorder (ADHD) medications with an antidepressant (A/AD), antipsychotic (A/AP) or a mood stabilizer (A/MS). Black children had lower odds of any polypharmacy, as did those eligible for Medicaid because of income or being foster care versus those eligible because of disability. There were no significant associations between polypharmacy and social deficits in ASD for any combination, although children with communication deficits diagnostic of ASD had lower odds of any polypharmacy and A/AP polypharmacy. Children with argumentative, aggressive, hyperactive/impulsive, or self-injurious aberrant behaviors had higher odds of polypharmacy, as did children with diagnosed co-occurring ADHD, anxiety or mood disorders, or conduct/oppositional defiant disorder (ODD) in Medicaid records. CONCLUSIONS: Future research is warranted to investigate how child-level factors impact combination psychotropic medication prescribing practices and outcomes in ASD.

Rates and predictors of adherence to psychotropic medications in children with autism spectrum disorders.

Medication adherence in children is poor, particularly among those with chronic or mental health disorders. However, adherence has not been fully assessed in autism spectrum disorders (ASDs). The validated proportion of days covered method was used to quantify adherence to psychotropic medication in Medicaid-eligible children who met diagnostic criteria for ASD between 2000 and 2008 (N = 628). Among children prescribed attention deficit hyperactivity disorder (ADHD) medications, antidepressants, or antipsychotics, 44, 40 and 52 % were adherent respectively. Aggressive behaviors and abnormalities in eating, drinking, and/or sleeping, co-occurring ADHD, and the Medication Regimen Complexity Index were the most significant predictors of adherence rather than demographics or core deficits of ASD. Identifying barriers to adherence in ASD may ultimately lead to improved treatment outcomes.

Imaging the neural mechanisms of TMS neglect-like bias in healthy volunteers with the interleaved TMS/fMRI technique: preliminary evidence.

Applying a precisely timed pulse of transcranial magnetic stimulation (TMS) over the right posterior parietal cortex (PPC) can produce temporary visuo-spatial neglect-like effects. Although the TMS is applied over PPC, it is not clear what other brain regions are involved. We applied TMS within a functional magnetic resonance imaging (fMRI) scanner to investigate brain activity during TMS induction of neglect-like bias in three healthy volunteers, while they performed a line bisection judgment task (i.e., the landmark task). Single-pulse TMS at 115% of motor threshold was applied 150 ms after the visual stimulus onset. Participants completed two different TMS/fMRI sessions while performing this task: one session while single-pulse TMS was intermittently and time-locked applied to the right PPC and a control session with TMS positioned over the vertex. Perceptual rightward bias was observed when TMS was delivered over the right PPC. During neglect-like behavior, the fMRI maps showed decreased neural activity within parieto-frontal areas, which are often lesioned or dysfunctional in patients with left neglect. Vertex TMS induced behavioral effects compatible with leftward response bias and increased BOLD signal in the left caudate (a site which has been linked to response bias). These results are discussed in relation to recent findings on neural networks subserving attention in space.

High prescription drug use and associated costs among Medicaid-eligible children with autism spectrum disorders identified by a population-based surveillance network.

PURPOSE: We assessed medication use and associated costs among 8- and 15-year-old children with autism spectrum disorders (ASD) identified by the South Carolina Autism and Developmental Disabilities Monitoring (SCADDM) Network. METHODS: All Medicaid-eligible SCADDM-identified children with ASD from surveillance years 2006 and 2007 were included (n = 263). Children were classified as ASD cases when documented behaviors consistent with the DSM-IV-TR criteria for autistic disorder, Asperger disorder, or pervasive developmental disorder-not otherwise specified were present in health and education evaluation records. Medication and cost data were obtained by linking population-based and Medicaid data. RESULTS: All 263 SCADDM-identified children had Medicaid data available; 56% (n = 147) had a prescription of any type, 40% (n = 105) used psychotropic medication, and 20% (n = 52) used multiple psychotropic classes during the study period. Common combinations were (1) attention deficit hyperactivity disorder medications and an antihypertensive, antidepressant or antipsychotic; and (2) antidepressants and an antipsychotic. Multiple psychotropic classes were more common among older children. Both the overall distribution of the number of prescription claims and medication costs varied significantly by age. CONCLUSIONS: Results confirm that medication use in ASD, alone or in combination, is common, costly, and may increase with age.

Assessing drug use during follow-up: direct comparison of candidate outcome definitions in pooled analyses of addiction treatment studies.

BACKGROUND: Selection of appropriate outcome measures is important for clinical studies of drug addiction treatment. Researchers use various methods for collecting drug use outcomes and must consider substances to be included in a urine drug screen (UDS); accuracy of self-report; use of various instruments and procedures for collecting self-reported drug use; and timing of outcome assessments. OBJECTIVES: We sought to define a set of candidate measures to (1) assess their intercorrelation and (2) identify any differences in results. METHODS: Data were combined from completed protocols in the National Institute on Drug Abuse Clinical Trials Network (CTN), with a total of 1897 participants. We defined nine outcome measures based on UDS, self-report, or a combination. Multivariable, multilevel generalized estimating equation models were used to assess subgroup differences in intervention success, controlling for baseline differences and accounting for clustering by CTN protocols. RESULTS: There were high correlations among all candidate outcomes. All outcomes showed consistent overall results with no significant intervention impact on drug use during follow-up. However, with most UDS variables, but not with self-report or "corrected self-report," we observed a significant gender-ethnicity interaction with benefit shown in African American women, White women, and Hispanic men. CONCLUSION: Despite strong associations between candidate measures, we found some important differences in results. SCIENTIFIC SIGNIFICANCE: In this study, we demonstrated the potential utility and impact of combining UDS and self-report data for drug use assessment. Our results suggest possible differences in intervention efficacy by gender and ethnicity, but highlight the need to cautiously interpret observed interactions.

Postpartum screening following GDM: how well are we doing?

Once diagnosed with gestational diabetes mellitus (GDM), a woman has a sevenfold increased risk of developing type 2 diabetes relative to women who do not have diabetes during pregnancy. In addition, up to one third of women with GDM have overt diabetes, impaired fasting glucose, or impaired glucose tolerance identified during postpartum glucose screening completed within 6 to 12 weeks. Therefore, the American Diabetes Association, the World Health Organization, and the American College of Obstetricians and Gynecologists currently recommend postpartum glucose screening following GDM. However, despite this recommendation, in many settings the majority of women with GDM fail to return for postpartum glucose testing. Studies conducted to date have not comprehensively examined the health care system, the physician, or the patient determinants of successful screening. These studies are required to help develop standard clinical procedures that enable and encourage all women to return for postpartum glucose screening following GDM.