Citations

AbstractObjectiveThe aim of this randomized controlled trial for patients with advanced cancer receiving radiation therapy was to determine the effect of a multidisciplinary intervention on spiritual quality of life (QOL) at the end of the intervention (week 4) and at two follow‐up time points (weeks 26 and 52).MethodsOne hundred thirty‐one persons were randomized to either the intervention or control (forms only) groups. The intervention included six 90‐min in‐person sessions based on the physical, emotion, social, and spiritual domains of QOL. Three sessions included the spiritual component. Caregivers were present for four sessions, one which included a spiritual component. Ten follow‐up phone calls were made to the patients in the intervention group during the 6‐month follow‐up period. Patients completed the Functional Assessment of Cancer Therapy: General Scale, the Linear Analog Self‐Assessment which includes an assessment of spiritual QOL, and the Functional Assessment of Chronic Illness Therapy‐Spiritual Well‐Being (FACIT‐Sp) at enrollment, and weeks 4, 27, and 52.ResultsFollowing the intervention, the intervention group demonstrated improved spiritual QOL on the FACIT‐Sp, whereas the spiritual QOL of the control group decreased, resulting in significant mean changes between groups (total score: 1.7 vs. −2.9; p < 0.01; meaning/peace subscale: 1.0 vs. −3.5; p < 0.01; faith subscale: 3.1 vs. −1.7; p = 0.04).ConclusionsThe results indicate that a multidisciplinary intervention which includes a spiritual component can maintain the spiritual QOL of patients with advanced cancer during radiation therapy. Copyright © 2013 John Wiley & Sons, Ltd.

Recent advances in the burgeoning field of genome engineering are accelerating the realization of personalized therapeutics for cardiovascular disease. In the postgenomic era, sequence-specific gene-editing tools enable the functional analysis of genetic alterations implicated in disease. In partnership with high-throughput model systems, efficient gene manipulation provides an increasingly powerful toolkit to study phenotypes associated with patient-specific genetic defects. Herein, this review emphasizes the latest developments in genome engineering and how applications within the field are transforming our understanding of personalized medicine with an emphasis on cardiovascular diseases.

Significance We describe a genomic disorder that causes obesity, intellectual disability, and seizures. Children with this syndrome carry an unbalanced chromosome translocation that results in the duplication of over 100 genes, including G protein β3 ( GNB3 ). Although GNB3 polymorphisms have been associated with obesity, hypertension, and diabetes, the mechanism of GNB3 pathogenesis is unknown. We created a transgenic mouse model that carries a duplication of GNB3 , weighs significantly more than wild-type mice, and has excess abdominal fat. GNB3 is highly expressed in the brain and may be important for signaling related to satiety and/or metabolism.

Epileptic encephalopathy syndromes are disorders in which the epileptiform abnormalities are thought to contribute to a progressive cerebral dysfunction. Characteristic electroencephalogram findings have an important diagnostic value in classification of epileptic encephalopathy syndromes. In this paper, we focus on electroencephalogram findings of childhood epileptic encephalopathy syndromes and provide sample illustrations.

AbstractBackgroundSputum eosinophilia has been shown to be a predictor of response to anti‐eosinophil therapies in patients with airway diseases. However, quantitative cell counts and differentials of sputum are labor intensive. The objective of this study was to validate a novel ELISA‐based assay of eosinophil peroxidase (EPX) in sputum as a rapid and reliable marker of airway eosinophils.MethodsThe utility of EPX‐based ELISA as an eosinophil‐specific assay was achieved through comparisons with sputum eosinophil differential counts in freshly prepared and archived patient samples from a variety of clinical settings.ResultsEPX levels in sputum correlated with eosinophil percentage (rs = 0.84) in asthma patients with varying degrees of airway eosinophilia. Significantly, unlike assays of other eosinophil granule proteins (e.g., ECP and EDN), which often detect the presence of these proteins even in asthma patients with neutrophilic bronchitis, EPX‐based ELISA levels are not increased in this subset of asthma patients or in COPD patients lacking evidence of an airway eosinophilia. Moreover, sputum EPX was a surrogate marker of airway eosinophilia in other patient studies (e.g., allergen inhalation and treatment trials the anti‐(IL‐5) therapeutic Mepolizumab™). Finally, EPX levels in cytocentrifuged prepared sputum supernatants correlated with those from rapidly prepared noncentrifuged filtrates of sputum (rs = 0.94).Conclusion and clinical implicationEPX‐based ELISA is a valid, reliable, repeatable, and specific surrogate marker of eosinophils and/or eosinophil degranulation in the sputum of respiratory patients. The novel EPX assay is a valid and reproducible eosinophil‐specific assay that can potentially be developed into a point‐of‐care assessment of eosinophil activity in airway secretions.

AbstractBackgroundVirtual microscopy is increasingly being used in dermatopathology educational settings.ObjectiveThe objective is to evaluate diagnostic accuracy and attitudes between virtual microscopy and traditional glass slide microscopy among dermatology residents.MethodsA 48‐question dermatopathology examination was administered to 35 dermatology residents at three different dermatology residency training sites during the 2011–2012 academic year with half (n = 24) of the questions using the gold standard of glass slide microscopy and half (n = 24) using whole, scanned virtual slides. Correct number of questions using glass slides and virtual slides was evaluated. Participants were surveyed regarding previous experience with digital slide imaging; quality, ease of use, and speed of slide review; and overall microscopy preferences.ResultsOverall, diagnostic accuracy was better with glass slides than virtual slides (p = 0.01). However, no statistically significant difference was found in diagnostic accuracy of first‐year trainees (p > 0.99) or trainees with exposure to virtual microscopy greater than two times per month (p = 0.27). There was no overall personal preference for glass slide vs. virtual microscopy.LimitationsDifferent cases and questions were used for glass slides and virtual microscopy.ConclusionsDiagnostic accuracy with virtual microscopy is dependent on year of residency training and prior experience with virtual microscopy.

OBJECTIVES: Estimate the causes and risk of death, specifically seizure related, in children followed from onset of epilepsy and to contrast the risk of seizure-related death with other common causes of death in the population. METHODS: Mortality experiences from 4 pediatric cohorts of newly diagnosed patients were combined. Causes of death were classified as seizure related (including sudden unexpected death [SUDEP]), natural causes, nonnatural causes, and unknown. RESULTS: Of 2239 subjects followed up for &gt;30 000 person-years, 79 died. Ten subjects with lethal neurometabolic conditions were ultimately excluded. The overall death rate (per 100 000 person-years) was 228; 743 in complicated epilepsy (with associated neurodisability or underlying brain condition) and 36 in uncomplicated epilepsy. Thirteen deaths were seizure-related (10 SUDEP, 3 other), accounting for 19% of all deaths. Seizure-related death rates were 43 overall, 122 for complicated epilepsy, and 14 for uncomplicated epilepsy. Death rates from other natural causes were 159, 561, and 9, respectively. Of 48 deaths from other natural causes, 37 were due to pneumonia or other respiratory complications. CONCLUSIONS: Most excess death in young people with epilepsy is not seizure-related. Mortality is significantly higher compared with the general population in children with complicated epilepsy but not uncomplicated epilepsy. The SUDEP rate was similar to or higher than sudden infant death syndrome rates. In uncomplicated epilepsy, sudden and seizure-related death rates were similar to or higher than rates for other common causes of death in young people (eg, accidents, suicides, homicides). Relating the risk of death in epilepsy to familiar risks may facilitate discussions of seizure-related mortality with patients and families.

ObjectiveTo identify genetic determinants of granulomatosis with polyangiitis (Wegener's) (GPA).MethodsWe carried out a genome‐wide association study (GWAS) of 492 GPA cases and 1,506 healthy controls (white subjects of European descent), followed by replication analysis of the most strongly associated signals in an independent cohort of 528 GPA cases and 1,228 controls.ResultsGenome‐wide significant associations were identified in 32 single‐nucleotide polymorphic (SNP) markers across the HLA region, the majority of which were located in the HLA–DPB1 and HLA–DPA1 genes encoding the class II major histocompatibility complex (MHC) DPβ chain 1 and DPα chain 1 proteins, respectively. Peak association signals in these 2 genes, emanating from SNPs rs9277554 (for DPβ chain 1) and rs9277341 (DPα chain 1) were strongly replicated in an independent cohort (in the combined analysis of the initial cohort and the replication cohort, P = 1.92 × 10−50 and 2.18 × 10−39, respectively). Imputation of classic HLA alleles and conditional analyses revealed that the SNP association signal was fully accounted for by the classic HLA–DPB1*04 allele. An independent single SNP, rs26595, near SEMA6A (the gene for semaphorin 6A) on chromosome 5, was also associated with GPA, reaching genome‐wide significance in a combined analysis of the GWAS and replication cohorts (P = 2.09 × 10−8).ConclusionWe identified the SEMA6A and HLA–DP loci as significant contributors to risk for GPA, with the HLA–DPB1*04 allele almost completely accounting for the MHC association. These two associations confirm the critical role of immunogenetic factors in the development of GPA.

Background Tools for the prediction of atrial fibrillation ( AF ) may identify high‐risk individuals more likely to benefit from preventive interventions and serve as a benchmark to test novel putative risk factors. Methods and Results Individual‐level data from 3 large cohorts in the U nited S tates (Atherosclerosis Risk in Communities [ ARIC ] study, the Cardiovascular Health Study [ CHS ], and the Framingham Heart Study [ FHS ]), including 18 556 men and women aged 46 to 94 years (19% A frican A mericans, 81% whites) were pooled to derive predictive models for AF using clinical variables. Validation of the derived models was performed in 7672 participants from the Age, Gene and Environment—Reykjavik study ( AGES ) and the Rotterdam Study ( RS ). The analysis included 1186 incident AF cases in the derivation cohorts and 585 in the validation cohorts. A simple 5‐year predictive model including the variables age, race, height, weight, systolic and diastolic blood pressure, current smoking, use of antihypertensive medication, diabetes, and history of myocardial infarction and heart failure had good discrimination (C‐statistic, 0.765; 95% CI , 0.748 to 0.781). Addition of variables from the electrocardiogram did not improve the overall model discrimination (C‐statistic, 0.767; 95% CI , 0.750 to 0.783; categorical net reclassification improvement, −0.0032; 95% CI , −0.0178 to 0.0113). In the validation cohorts, discrimination was acceptable ( AGES C‐statistic, 0.664; 95% CI , 0.632 to 0.697 and RS C‐statistic, 0.705; 95% CI , 0.664 to 0.747) and calibration was adequate. Conclusion A risk model including variables readily available in primary care settings adequately predicted AF in diverse populations from the U nited S tates and E urope.