Citations

AbstractBackgroundThere is limited information about the potential associations of multiple sclerosis (MS) and commonly used household chemicals.MethodsWe performed a case‐control study of exposures to common household chemicals during childhood in children with MS and healthy pediatric controls. Exposures to household products were collected from a comprehensive questionnaire (http://www.usnpmsc.org/Documents/EnvironmentalAssessment.pdf) completed by parents at the time of enrollment in the study. Cases included children diagnosed with MS or clinically isolated syndrome with at least two silent T2 bright lesions on MRI, recruited within 4 years of disease onset from 16 pediatric MS clinics in the USA. Multivariate analyses using logistic regression were adjusted for possible confounders including age, sex, race, ethnicity, mother's highest level of education, and urban versus rural living.ResultsQuestionnaire responses to household chemicals were available for 312 eligible cases (median age 15.7 years, 63% girls) and 490 healthy controls (median age 15.0, 57% girls). Exposure to rodenticides (odds ratio [OR] 2.10, 95% confidence interval [CI] 1.35–3.26, P ≤ 0.001), weed control agents (OR 1.99, 95% CI 1.36–2.92, P ≤ 0.001) and products for plant/tree disease control (OR 2.72, 95% CI 1.54–4.82, P ≤ 0.001) anytime during childhood were associated with an increased risk for pediatric‐onset MS in adjusted and multiple comparisons analyses.ConclusionsOur findings suggest that exposure to specific household chemicals during early childhood is associated with the risk of developing pediatric‐onset MS. Future studies are needed to elucidate a causal relationship and the exact agents involved.

AbstractBackgroundWe previously identified air quality as a risk factor of interest for pediatric multiple sclerosis. The purpose of this study is to more closely examine the association between the six criteria air pollutants and pediatric MS as well as identify specific areas of toxic release using data from the Toxic Release Inventory.MethodsPediatric MS cases (N = 290) and healthy controls (N = 442) were included as part of an ongoing case–control study. We used the National Emissions Inventory system to estimate particulate exposure by county of residence for each participant. Proximity to Toxic Release Inventory (TRI) sites was also assessed using ArcGIS mapping tools. Risk‐Screening Environmental Indicators (RSEI) classified counties at risk to exposure of environmental toxic releases.ResultsFine particulate matter (PM2.5), carbon monoxide (CO), sulfur dioxide (SO2), and lead air emissions were associated with increased odds for pediatric MS (P < 0.01) for those residing within 20 miles of an MS center. Most study participants (75%) resided within 5 miles of at least one TRI site; however, the mean total pounds of stack air releases was higher for sites near MS cases (81,000 tons) compared to those near healthy controls (35,000 tons, P = 0.002). Average RSEI scores did not differ significantly between cases and controls.ConclusionOut of several air pollutants examined, we show that fine particulate matter and three other criteria pollutants (SO2, CO, and lead) were statistically associated with higher odds for pediatric MS.

AbstractBackgroundFluconazole is the most commonly used antifungal treatment for various forms of coccidioidomycosis. Although we had anecdotally observed a high proportion of patients reporting cutaneous adverse effects associated with fluconazole treatment, this observation was not well described in the medical literature, and we were unsure of the additional effect of the arid desert environment of Arizona.MethodsWe performed a one‐time, voluntary survey of patients with coccidioidomycosis and compared the responses of patients treated with fluconazole with those of untreated patients.ResultsFrom January 1, 2015, to August 22, 2017, 62 fluconazole‐treated and 35 untreated patients with coccidioidomycosis provided consent and were enrolled in the study; demographics were similar between the two groups. Among the 62 fluconazole‐treated patients, daily dosages ranged from 200 mg to 800 mg. However, most (44/62, 71%) took 400 mg daily, the typical dose for the treatment of coccidioidomycosis. The median fluconazole treatment duration at the time of study participation was 6 months. When compared with untreated patients, those taking fluconazole had more moderate to severe dry lips (74.2% [46/62] vs. 23.5% [8/34]; P < 0.001), dry skin (45.8% [27/59] vs. 22.9% [8/35]; P = 0.03), and alopecia (31.1% [19/61] vs. 11.4% [4/35]; P = 0.004).ConclusionsFor the treatment of coccidioidomycosis, patients receiving fluconazole reported significantly more severe cutaneous effects, including dry lips, dry skin, and alopecia, than untreated patients. Our findings identify an association but do not prove causality.

The term Big Data has come to encompass a number of concepts and uses within medicine. This paper lays out the relevance and application of large collections of data in the radiation oncology community. We describe the potential importance and uses in clinical practice. The important concepts are then described and how they have been or could be implemented are discussed. Impediments to progress in the collection and use of sufficient quantities of data are also described. Finally, recommendations for how the community can move forward to achieve the potential of big data in radiation oncology are provided.

AbstractObjectiveWhile prior Epstein–Barr virus (EBV) infection has been consistently associated with subsequent risk of developing multiple sclerosis (MS), the association with other common herpesviruses has been more controversial. Our objectives were to determine whether remote infection with EBV and other common herpesviruses affect the susceptibility to pediatric MS and if there are interactions between genetic and demographic factors and viral infections.MethodsCases with pediatric‐onset MS or clinically isolated syndrome within 4 years of disease onset, and controls were recruited from 16 American pediatric MS centers. Logistic regression models adjusted for potential confounders assessed the association between case status and serological evidence for past infection with EBV, cytomegalovirus (CMV), Herpes Simplex viruses‐1 (HSV‐1) and ‐2. We determined the heterogeneity of the effect of viral infection on the risk of having MS according to race, ethnicity and HLA‐DRB1:1501 status.ResultsA total of 356 pediatric cases and 493 controls were recruited. In multivariable models, EBV‐viral capsid antigen (VCA) seropositivity was associated with increased odds of having MS by 7.4 times (95% CI: 4.5–12.0, P < 0.001). Seropositivity for HSV‐1 was also associated with increased odds of having MS (OR 1.54, 95% CI: 1.06–2.25, P = 0.025) but this increase was seen only in Whites (OR = 2.18, 95% CI 1.35–3.52, P < 0.001) and those negative for HLA‐DRB1*1501 (OR = 1.89, 95% CI 1.17–3.03, P = 0.009). The effect of remote EBV infection on the risk of pediatric MS depended on race and HLA‐DRB1*15:01 status.InterpretationEBV seropositivity is strongly associated with pediatric MS, as is HSV‐1 seropositivity in subjects negative for HLA‐DRB1*15:01. Our report of interactions between select viral exposures, and age, race and DRB1 status suggests a complex effect of environmental and genetic risk factors on MS development.

Background The 2013 American College of Cardiology/American Heart Association Guideline on the Treatment of Blood Cholesterol to Reduce Atherosclerotic Cardiovascular Risk in Adults recommended testing low‐density lipoprotein cholesterol ( LDL ‐C) to identify untreated patients with LDL ‐C ≥190 mg/dL, assess lipid‐lowering therapy adherence, and consider nonstatin therapy. We sought to determine whether clinician lipid testing practices were consistent with these guidelines. Methods and Results The PALM (Patient and Provider Assessment of Lipid Management) registry enrolled primary and secondary prevention patients from 140 US cardiology, endocrinology, and primary care offices in 2015 and captured demographic data, lipid treatment history, and the highest LDL ‐C level in the past 2 years. Core laboratory lipid levels were drawn at enrollment. Among 7627 patients, 2787 (36.5%) had no LDL ‐C levels measured in the 2 years before enrollment. Patients without chart‐documented LDL ‐C levels were more often women, nonwhite, uninsured, and non–college graduates (all P <0.01). Patients without prior lipid testing were less likely to receive statin treatment (72.6% versus 76.0%; P =0.0034), a high‐intensity statin (21.5% versus 24.3%; P =0.016), nonstatin lipid‐lowering therapy (24.8% versus 27.3%; P =0.037), and had higher core laboratory LDL ‐C levels at enrollment (median 97 versus 92 mg/dL; P <0.0001) than patients with prior LDL ‐C testing. Of 166 individuals with core laboratory LDL ‐C levels ≥190 mg/dL, 36.1% had no LDL ‐C measurement in the prior 2 years, and 57.2% were not on a statin at the time of enrollment. Conclusions In routine clinical practice, LDL ‐C testing is associated with higher‐intensity lipid‐lowering treatment and lower achieved LDL ‐C levels.

AbstractParenteral nutrition (PN) is a complex therapeutic modality provided to neonates, children, and adults for various indications. Surveys have shown that current electronic health record (EHR) systems are in need of functionality enhancement for safe and optimal delivery of PN. This is a consensus statement from the American Society for Parenteral and Enteral Nutrition, the Academy of Nutrition and Dietetics, and the American Society of Health‐System Pharmacists outlining some of the key challenges to prescribing, order review/verification, compounding, and administration of PN using EHRs today and is a call to action for clinicians and vendors to optimize their EHRs regarding the PN build and workflow.