Safe medication prescribing: training and experience of medical students and housestaff at a large teaching hospital.

PURPOSE: To assess medical students' and housestaff's knowledge, attitudes, and behaviors regarding safe prescribing. METHOD: In 2003, 214 housestaff (interns and residents) and 77 medical students in medicine and surgery at Barnes-Jewish Hospital, St. Louis, Missouri, were asked to complete an anonymous, self-administered questionnaire about safe prescribing. Questions asked about training in and attitudes about safe-prescribing and current prescribing behaviors. Fisher exact test was used to compare attitudes and behaviors among subgroups. RESULTS: Of the 175 (60%) respondents, 73 (59%) of 123 housestaff and eight (15%) of 52 students agreed that their safe-prescribing training was adequate (p < .001), and 145 (83%) total respondents agreed that prescribing errors were unacceptable. Respondents reported always doing the following: 156 (89%) checked prescribing information before prescribing new drugs, 131 (75%) checked for drug allergies, 103 (59%) double-checked dosage calculations, 98 (56%) checked for renal impairment, and 53 (30%) checked for potential drug-drug interactions. CONCLUSION: Routine use of safe medication prescribing behaviors among housestaff and medical students was poor. Contributing factors may have included inadequate training and a culture that does not support safe prescribing. Effective strategies to increase safe medication prescribing need to be identified and implemented.     

Ectodermal dysplasia,ectrodactyly and macular dystrophy (EEM syndrome) in siblings

We report a brother and sister with ectodermal dysplasia, ectrodactyly, and macular dystrophy (the EEM syndrome). Both children had abnormalities of the hands and the hair, and bilateral macular degeneration. The clinical picture in both is similar to, but less severe than, that described in the previously reported cases of this rare syndrome. Even though the parents are not related, they are both of Jewish Yemenite origin, and the possibility of a common ancestor cannot be ruled out. This would suggest autosomal recessive inheritance. The clinical picture in these patients suggests either variable expression or genetic heterogeneity in the EEM syndrome and further delineates the clinical and genetic spectrum of this condition. © 2001 Wiley‐Liss, Inc.     

Cognate CD4(+) T cell licensing of dendritic cells in CD8(+) T cell immunity

Several studies have indicated that CD8(+) T cells require CD4(+) T cell help for memory formation. Evidence suggests that such help can be antigen independent, challenging whether the 'licensing' of dendritic cells (DCs) by CD4(+) T cells is ever required for cytotoxic T lymphocyte (CTL) responses. We show here that help is essential for the generation of CTL immunity to herpes simplex virus 1 and that CD4(+) T cells mediate help in a cognate, antigen-specific way. We provide direct in vivo evidence for DC licensing by helper T cells and show that licensing is rapid and essential for the formation of effector and memory CTLs. In situations in which DCs are poorly licensed by pathogen-derived signals, our findings suggest that CTL immunity may be heavily dependent on cognate DC licensing.     

Age-related changes in cardiac autonomic control during sleep

Aging is commonly associated with decreased sleep quality and increased periodic breathing (PB) that can influence heart rate variability (HRV). Cardiac autonomic control, as inferred from HRV analysis, was determined, taking into account the sleep quality and breathing patterns. Two groups of 12 young (21.1 +/- 0.8 years) and 12 older (64.9 +/- 1.9 years) volunteers underwent electroencephalographic, cardiac, and respiratory recordings during one experimental night. Time and frequency domain indices of HRV were calculated in 5-min segments, together with electroencephalographic and respiratory power spectra. In the elderly, large R-R oscillations in the very-low frequency (VLF) range emerged, that reflected the frequency of PB observed in 18% of the sleep time. PB occurred more frequently during rapid eye movement sleep (REM) sleep and caused a significant (P < 0.02) increase in the standard deviation of normal R-R intervals (SDNN) and absolute low-frequency (LF) power. With normal respiratory patterns, SDNN, absolute VLF, LF, and high frequency (HF) power fell during each sleep stage (P < 0.01) compared with young subjects, with no significant sleep-stage dependent variations. An overall decrease (P < 0.01) in normalized HF/(LF + HF) was observed in the elderly, suggesting a predominant loss of parasympathetic activity which may be related to decreased slow-wave sleep duration. These results indicate that two distinct breathing features, implying different levels of autonomic drive to the heart, influence HRV in the elderly during sleep. The breathing pattern must be considered to correctly interpret HRV in the elderly.     

Transcription Factor PU.1 Promotes Conventional Dendritic Cell Identity and Function via Induction of Transcriptional Regulator DC-SCRIPT

1. Download high-res image (168KB)
2. Download full-size image

     

BEAUTY and the breast: is adjuvant chemotherapy the right time for a beauty boost? Lessons learned from a large randomized controlled trial

Quality of Life Research - Beauty care (BTC) is offered at many cancer hospitals having a great uptake among patients. Nevertheless, its benefits in the Quality of life (QoL) of cancer survivors...     

The Role of Diet in the Pathogenesis and Management of Inflammatory Bowel Disease: A Review

Inflammatory bowel diseases, which include ulcerative colitis and Crohn’s disease, are chronic relapsing and remitting inflammatory diseases of the gastrointestinal tract that are increasing in prevalence and incidence globally. They are associated with significant morbidity, reduced quality of life to individual sufferers and are an increasing burden on society through direct and indirect costs. Current treatment strategies rely on immunosuppression, which, while effective, is associated with adverse events. Epidemiological evidence suggests that diet impacts the risk of developing IBD and modulates disease activity. Using diet as a therapeutic option is attractive to patients and clinicians alike due to its availability, low cost and few side effects. Diet may influence IBD risk and disease behaviour through several mechanisms. Firstly, some components of the diet influence microbiota structure and function with downstream effects on immune activity. Secondly, dietary components act to alter the structure and permeability of the mucosal barrier, and lastly dietary elements may have direct interactions with components of the immune response. This review will summarise the mechanisms of diet–microbial–immune system interaction, outline key studies examining associations between diet and IBD and evidence demonstrating the impact of diet on disease control. Finally, this review will outline current prescribed dietary therapies for active CD.     

Decision-making in pediatric blunt solid organ injury: A deep learning approach to predict massive transfusion,need for operative management,and mortality risk

BackgroundThe principal triggers for intervention in the setting of pediatric blunt solid organ injury (BSOI) are declining hemoglobin values and hemodynamic instability. The clinical management of BSOI is, however, complex. We therefore hypothesized that state-of-art machine learning (computer-based) algorithms could be leveraged to discover new combinations of clinical variables that might herald the need for an escalation in care. We developed algorithms to predict the need for massive transfusion (MT), failure of non-operative management (NOM), mortality, and successful non-operative management without intervention, all within 4 hours of emergency department (ED) presentation.MethodsChildren (≤ 18 years) who sustained a BSOI (liver, spleen, and/or kidney) between 2009 and 2018 were identified in the trauma registry at a pediatric level 1 trauma center. Deep learning models were developed using clinical values [vital signs, shock index-pediatric adjusted (SIPA), organ injured, and blood products received], laboratory results [hemoglobin, base deficit, INR, lactate, thromboelastography (TEG)], and imaging findings [focused assessment with sonography in trauma (FAST) and grade of injury on computed tomography scan] from pre-hospital to ED settings for prediction of MT, failure of NOM, mortality, and successful NOM without intervention. Sensitivity, specificity, accuracy, and area under the receiver operating characteristic curve (AUC) were used to evaluate each model's performance.ResultsA total of 477 patients were included, of which 5.7% required MT (27/477), 7.2% failed NOM (34/477), 4.4% died (21/477), and 89.1% had successful NOM (425/477). The accuracy of the models in the validation set was as follows: MT (90.5%), failure of NOM (83.8%), mortality (91.9%), and successful NOM without intervention (90.3%). Serial vital signs, the grade of organ injury, hemoglobin, and positive FAST had low correlations with outcomes.ConclusionDeep learning-based models using a combination of clinical, laboratory and radiographic features can predict the need for emergent intervention (MT, angioembolization, or operative management) and mortality with high accuracy and sensitivity using data available in the first 4 hours of admission. Further research is needed to externally validate and determine the feasibility of prospectively applying this framework to improve care and outcomes.Level of EvidenceIIIStudy TypeRetrospective comparative study (Prognosis/Care Management).