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IntroductionIn a cohort of families of school-age children (8–12.99 years old) with type 1 diabetes, we examined the stability of parent and child diabetes-related distress (DRD) over 6 months and the associations between parent and child DRD and child glycated hemoglobin (HbA1c) over time.Research design and methodsWe recruited families from two large pediatric hospital systems in the USA and used validated measures of parent (Parent Problem Areas in Diabetes-Child, PPAID-C) and child (Problem Areas in Diabetes-Child, PAID-C) DRD and children’s HbA1c. We collected data at baseline and 6 months. We calculated minimal clinically important differences in PPAID-C and PAID-C to examine DRD stability and used a linear regression model to examine associations between PPAID-C and PAID-C scores and child HbA1c over time.ResultsWe recruited n=132 parent–child dyads (mean child age=10.23±1.5 years; 50% male, 86% non-Hispanic white). 60% of children and 55% of parents reported stable DRD levels, 20% of children and 14% of parents reported increasing DRD levels, and 20% of children and 31% of parents reported decreasing DRD levels from baseline to 6 months. In the regression model, child HbA1c and DRD scores at baseline significantly predicted child HbA1c 6 months later, β=0.013, t(157)=2.32, p=0.02.ConclusionsAcross 6 months, DRD remained stable or increased in 80% of school-aged children and 69% of parents. Only child HbA1c and DRD at baseline predicted higher child HbA1c 6 months later. Our results suggest it may be valuable to screen families of school-age children for DRD routinely and to develop treatments to help them reduce DRD.

Type 1 diabetes (T1D) is a complex autoimmune disease that currently cannot be cured, only managed. Optimal treatment the of T1D symptoms, requires a multidisciplinary care team, including endocrinologists, educators, primary care providers, health care specialists, genetic counselors, and data scientists. This review summarizes how an integrative approach to T1D drives innovation and quality improvements in health care. Specifically, we highlight how “-omics” technologies facilitate the understanding of different aspects of the disease, including prevention, pathogenesis, diagnostics, and treatment. Furthermore, we explore how biological data can be combined with personal and electronic health records to tailor medical interventions to the individual’s biology and lifestyle. We conclude that truly personalized medicine will not be limited to one data source but will emerge from the integration of multiple sources and disciplines that together will support individuals with T1D in their everyday life.

Objective Youth with type 1 diabetes (T1D) endorse high rates of depressive symptoms, which can significantly impair self‐management, glycemic control, and quality of life. Current guidelines recommend annual depression screening for all adolescents with T1D, but few models exist to implement screening procedures across clinics in this population. The primary aim of this project was to increase depression screening from 0% to 80% in four clinics, and to describe the structured quality improvement process to reach this goal. Methods All patients aged 12 to 21 years old with T1D at four participating clinics in a Midwestern hospital system were eligible to participate. Using a two‐stage process, patients were administered the Patient Health Questionnaire (PHQ‐2 plus PHQ‐9 if positive) annually. Rates of depression screening by clinic site, rates of positive depression screens, social worker documentation of follow‐up care, and associations with diabetes‐related health outcomes were analyzed. Results Over 2 years, average depression screening rates increased from 0% to 75% across all clinics, and 89% of patients with a positive screen met with a social worker for a targeted mental health assessment. At initial screening, 7.6% of patients screened positive for at‐risk depressive symptoms on the PHQ‐2 and from that group, 6.7% additionally screened positive on the PHQ‐9. Conclusions Annual depression screenings were feasibly implemented across four clinics and the use of real‐time data listening and automated processes facilitated successful implementation. Future directions include further automation, targeted training and billing mechanisms, dissemination to non‐metropolitan clinics, and further assessment of depression screening tools for adolescents with T1D.

To evaluate efficiency and impact of a novel antimicrobial stewardship program (ASP) prospective-audit-with-feedback (PAF) review process using the Cerner Multi-Patient Task List (MPTL). Retrospective cohort study. A 367-bed free-standing, pediatric academic medical center. The ASP PAF review process expanded to monitor all systemic and inhaled antibiotics through use of the MPTL on July 23, 2020. Average number of daily ASP reviews, absolute number of monthly interventions, and time to conduct ASP reviews were compared between the preimplementation period and the postimplementation period following expansion. Antibiotic days of therapy (DOT) per 1,000 patient days for overall and select antibiotics were compared between periods. ASP intervention characteristics were assessed. Average daily ASP reviews significantly increased following program expansion (9 vs 14 reviews; < .0001), and the absolute number of ASP interventions each month also increased (34 vs 52 interventions; .0001). Time to conduct daily ASP reviews increased in the postimplementation period (1.03 vs 1.32 hours). Overall antibiotic DOT per 1,000 patient days significantly decreased in the postimplementation period (457.9 vs 427.9; < .0001) as well as utilization of select, narrow-spectrum antibiotics such as ampicillin and clindamycin. Intervention type and antibiotics were similar between periods. The ASP documented 128 \"nonantibiotic interventions\" in the postimplementation period, including culture and/or susceptibility testing (32.8%), immunizations (25.8%), and additional diagnostic testing (22.7%). Implementation of an ASP PAF review process using the MPTL allowed for efficient expansion of a pre-existing ASP and a decrease in overall antibiotic utilization. ASP documentation was enhanced to fully track the impact of the program.

We present a unique case of a 42-year-old gentleman with newly diagnosed Graves' disease and isolated right ventricular failure. Extensive evaluation to include echocardiogram and cardiac catheterization were negative for significant pulmonary hypertension or coronary artery disease as potential etiologies. Hyperthyroid induced vasospasm is a rare but reported clinical entity that serves to be a clinical and diagnostic dilemma.

Introduction. The purpose of this study is to investigate chest pain evaluations after initial coronary computed tomography angiography (CCTA) based upon coronary artery disease (CAD) burden. Methods. CCTA results of 1,518 patients were grouped based on the CCTA results into no CAD, nonobstructive CAD (<50% maximal diameter stenosis), or obstructive CAD (≥50% stenosis). Chest pain evaluation after initial CCTA and rates of major adverse cardiovascular events (MACE) defined as the incidence of all-cause mortality, nonfatal MI, ischemic stroke, and late revascularization (>90 days following CCTA) were evaluated. Results. MACE rates were higher with obstructive CAD compared to nonobstructive CAD and no CAD (8.9% versus 0.7%, P<0.001; 8.9 versus 1.6%, P<0.001). One hundred seventy-four patients (11.5%) underwent evaluation for chest pain after index CCTA with rates significantly higher with obstructive CAD compared to both nonobstructive CAD and no CAD (7.5% versus 13.9% versus 17.8%, P<0.001). The incidence of repeat testing was more frequent in patients with obstructive CAD (no CAD 36.5% versus nonobstructive CAD 54.9% versus obstructive CAD 67.7%, P=0.015). Conclusion. Absence of obstructive disease on CCTA is associated with lower rates of subsequent evaluations for chest pain and repeat testing with low MACE event rates over a 22-month followup.

Chronic kidney disease (CKD) of unknown etiology (CKDu) mostly affects agricultural communities in Central America, South Asia, Africa, but likely also in North America and Australia. One such area with increased CKDu prevalence is the Medawachchiya District Secretariat Division of the Anuradhapura District in the North Central Province of Sri Lanka. Recent research has focused on the presence of various microbial pathogens in drinking water as potential causal or contributing factors to CKDu, yet no study to date has performed a more comprehensive microbial and water chemistry assessment of household wells used for domestic water supply in areas of high CKDu prevalence. In this study, we describe the chemical composition and total microbial content in 30 domestic household wells in the Medawachchiya District Secretariat Division. While the chemical composition in the tested wells mostly lies within standard drinking water limits, except for high levels of fluoride (F), magnesium (Mg), sodium (Na), chloride (Cl) and calcium (Ca) in some samples, we find a frequent presence of cyanotoxin-producing Microcystis , confirming earlier studies in Sri Lanka. Since the total microbial content of drinking water also directly influences the composition of the human gut microbiome, it can be considered an important determinant of health. Several bacterial phyla were previously reported in the gut microbiome of patients with CKD. Using these bacteria phyla to define operational taxonomic units, we found that these bacteria also occur in the microbiome of the sampled well water. Based on available environmental data, our study demonstrates associations between the abundances of these bacteria with geographical distribution, well water temperature and likely fertilizer use in the local surface water catchment area of the individual household wells. Our results reinforce the recommendation that household wells with stagnant or infrequently used water should be purged prior to use for drinking water, bathing and irrigation. The latter is suggested because of the reported potential accumulation of bacterial toxins by agricultural crops. The observation that bacteria previously found in chronic kidney disease patients are also present in household wells requires a more detailed systematic study of both the human gut and drinking water microbiomes in CKDu patients, in relation to disease prevalence and progression.

Characterization of the genetic landscape of Alzheimer’s disease (AD) and related dementias (ADD) provides a unique opportunity for a better understanding of the associated pathophysiological processes. We performed a two-stage genome-wide association study totaling 111,326 clinically diagnosed/‘proxy’ AD cases and 677,663 controls. We found 75 risk loci, of which 42 were new at the time of analysis. Pathway enrichment analyses confirmed the involvement of amyloid/tau pathways and highlighted microglia implication. Gene prioritization in the new loci identified 31 genes that were suggestive of new genetically associated processes, including the tumor necrosis factor alpha pathway through the linear ubiquitin chain assembly complex. We also built a new genetic risk score associated with the risk of future AD/dementia or progression from mild cognitive impairment to AD/dementia. The improvement in prediction led to a 1.6- to 1.9-fold increase in AD risk from the lowest to the highest decile, in addition to effects of age and the APOE ε4 allele. Meta-analysis of genome-wide association studies on Alzheimer’s disease and related dementias identifies new loci and enables generation of a new genetic risk score associated with the risk of future Alzheimer’s disease and dementia.

Multiplexed imaging is a powerful approach in spatial biology, although it is complex, expensive and labor-intensive. Here, we present the IBEX Knowledge-Base, a central resource for reagents, protocols and more, to enhance knowledge sharing, optimization and innovation of spatial proteomics techniques.