31 research outputs found

    Pseudohypoaldosteronism type 1 due to novel variants of SCNN1B gene.

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    UnlabelledAutosomal recessive pseudohypoaldosteronism type 1 (PHA1) is a rare disorder characterized by sodium wasting, failure to thrive, hyperkalemia, hypovolemia and metabolic acidosis. It is due to mutations in the amiloride-sensitive epithelial sodium channel (ENaC) and is characterized by diminished response to aldosterone. Patients may present with life-threatening hyperkalemia, which must be recognized and appropriately treated. A 32-year-old female was referred to the National Institutes of Health (NIH) for evaluation of hyperkalemia and muscle pain. Her condition started in the second week of life, when she was brought to an outside hospital lethargic and unresponsive. At that time, she was hypovolemic, hyperkalemic and acidotic, and was eventually treated with sodium bicarbonate and potassium chelation. At the time of the presentation to the NIH, her laboratory evaluation revealed serum potassium 5.1 mmol/l (reference range: 3.4-5.1 mmol/l), aldosterone 2800 ng/dl (reference range: ≤21 ng/dl) and plasma renin activity 90 ng/ml/h (reference range: 0.6-4.3 ng/ml per h). Diagnosis of PHA1 was suspected. Sequencing of the SCNN1B gene, which codes for ENaC, revealed that the patient is a compound heterozygote for two novel variants (c.1288delC and c.1466+1 G>A), confirming the suspected diagnosis of PHA1. In conclusion, we report a patient with novel variants of the SCNN1B gene causing PHA1 with persistent, symptomatic hyperkalemia.Learning pointsPHA1 is a rare genetic condition, causing functional abnormalities of the amiloride-sensitive ENaC.PHA1 was caused by previously unreported SCNN1B gene mutations (c.1288delC and c.1466+1 G>A).Early recognition of this condition and adherence to symptomatic therapy is important, as the electrolyte abnormalities found may lead to severe dehydration, cardiac arrhythmias and even death.High doses of sodium polystyrene sulfonate, sodium chloride and sodium bicarbonate are required for symptomatic treatment

    Pediatric Cushing disease: disparities in disease severity and outcomes in the Hispanic and African-American populations.

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    BackgroundLittle is known about the contribution of racial and socioeconomic disparities to severity and outcomes in children with Cushing disease (CD).MethodsA total of 129 children with CD, 45 Hispanic/Latino or African-American (HI/AA) and 84 non-Hispanic White (non-HW), were included in this study. A 10-point index for rating severity (CD severity) incorporated the degree of hypercortisolemia, glucose tolerance, hypertension, anthropomorphic measurements, disease duration, and tumor characteristics. Race, ethnicity, age, gender, local obesity prevalence, estimated median income, and access to care were assessed in regression analyses of CD severity.ResultsThe mean CD severity in the HI/AA group was worse than that in the non-HW group (4.9±2.0 vs. 4.1±1.9, P=0.023); driving factors included higher cortisol levels and larger tumor size. Multiple regression models confirmed that race (P=0.027) and older age (P=0.014) were the most important predictors of worse CD severity. When followed up a median of 2.3 years after surgery, the relative risk for persistent CD combined with recurrence was 2.8 times higher in the HI/AA group compared with that in the non-HW group (95% confidence interval: 1.2-6.5).ConclusionOur data show that the driving forces for the discrepancy in severity of CD are older age and race/ethnicity. Importantly, the risk for persistent and recurrent CD was higher in minority children

    A Glycemia Risk Index (GRI) of Hypoglycemia and Hyperglycemia for Continuous Glucose Monitoring Validated by Clinician Ratings

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    BackgroundA composite metric for the quality of glycemia from continuous glucose monitor (CGM) tracings could be useful for assisting with basic clinical interpretation of CGM data.MethodsWe assembled a data set of 14-day CGM tracings from 225 insulin-treated adults with diabetes. Using a balanced incomplete block design, 330 clinicians who were highly experienced with CGM analysis and interpretation ranked the CGM tracings from best to worst quality of glycemia. We used principal component analysis and multiple regressions to develop a model to predict the clinician ranking based on seven standard metrics in an Ambulatory Glucose Profile: very low-glucose and low-glucose hypoglycemia; very high-glucose and high-glucose hyperglycemia; time in range; mean glucose; and coefficient of variation.ResultsThe analysis showed that clinician rankings depend on two components, one related to hypoglycemia that gives more weight to very low-glucose than to low-glucose and the other related to hyperglycemia that likewise gives greater weight to very high-glucose than to high-glucose. These two components should be calculated and displayed separately, but they can also be combined into a single Glycemia Risk Index (GRI) that corresponds closely to the clinician rankings of the overall quality of glycemia (r = 0.95). The GRI can be displayed graphically on a GRI Grid with the hypoglycemia component on the horizontal axis and the hyperglycemia component on the vertical axis. Diagonal lines divide the graph into five zones (quintiles) corresponding to the best (0th to 20th percentile) to worst (81st to 100th percentile) overall quality of glycemia. The GRI Grid enables users to track sequential changes within an individual over time and compare groups of individuals.ConclusionThe GRI is a single-number summary of the quality of glycemia. Its hypoglycemia and hyperglycemia components provide actionable scores and a graphical display (the GRI Grid) that can be used by clinicians and researchers to determine the glycemic effects of prescribed and investigational treatments

    Pituitary stalk lesion in a 13-year-old female.

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    Nivolumab-induced autoimmune diabetes mellitus and hypothyroidism in a patient with rectal neuroendocrine tumor

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    We present a rare case of autoimmune diabetes mellitus and hypothyroidism in an elderly man initiated on nivolumab two months prior to admission for treatment of a high-grade neuroendocrine rectal tumor. This patient presented to a local community hospital with one-week history of severe nausea, thirst, and bilateral leg edema. Biochemical studies confirmed the diagnosis of diabetic ketoacidosis in the setting of autoimmune diabetes mellitus and primary hypothyroidism, likely due to nivolumab use. This case illustrates an acute complication due to secondary diabetes mellitus in the setting of a novel anticancer agent. There are three key takeaways for physicians managing patients on nivolumab. First, there should be a discussion of the benefits and risks of immunomodulatory therapy. Second, patients should be tested for immunological and other markers before being started on checkpoint inhibitors. Third, oncologists must be aware of the signs and symptoms of life-threatening hyperglycemia and severe hypothyroidism. Additional studies are needed to identify those patients at highest risk for autoimmune complications

    Haven Health is About to Disrupt the U.S. Healthcare System

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    Background: Healthcare costs are increasing in the U.S. Healthcare market is fragmented and opaque. The Amazon, JP Morgan Chase, and Berkshire Hathaway partnered to form an independent healthcare company ‘Haven’, designed to support cost-containment in health care and to forge a better patient experience. Limited information is available in the public domain about Haven’s strategy to deliver cost-effective healthcare for their employees. Objective: To describe the impact of Haven Health of modern healthcare. Methods: We reviewed literature in Pubmed (MEDLINE database of references and abstracts on life sciences and biomedical topics from the USA National Library of Medicine at the National Institutes of Health) and the public domain. Results: Amazon’s expertise and abilities in e-commerce such as logistics, supply, and big data management will support Haven’s quest to resolve inefficiencies in health care. Haven may attempt to directly negotiate with providers, bypassing insurance companies, to establish themselves as an independent payor. Additionally, Haven to establish themselves as a provider by building new low-cost primary care clinics, focusing on chronic disease prevention. The new healthcare system may leverage machine learning, artificial intelligence and big data analysis to support its initiatives and other ‘big data’ analytics to drive it all. Conclusions: Heaven Health may use its expertise to disrupt everything from the pharmaceutical supply chain to primary care and telehealth. More research is needed to evaluate the impact of Haven Healthcare on disease outcomes and healthcare costs

    Genetics of Hypertension in African Americans and Others of African Descent

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    Hypertension is the leading cause of cardiovascular disease in the United States, affecting up to one-third of adults. When compared to other ethnic or racial groups in the United States, African Americans and other people of African descent show a higher incidence of hypertension and its related comorbidities; however, the genetics of hypertension in these populations has not been studied adequately. Several genes have been identified to play a role in the genetics of hypertension. They include genes regulating the renin-aldosterone-angiotensin system (RAAS), such as Sodium Channel Epithelial 1 Beta Subunit (SCNN1B), Armadillo Repeat Containing 5 (ARMC5), G Protein-Coupled Receptor Kinase 4 (GRK4), and Calcium Voltage-Gated Channel Subunit Alpha1 D (CACNA1D). In this review, we focus on recent genetic findings available in the public domain for potential differences between African Americans and other populations. We also cover some recent and relevant discoveries in the field of low-renin hypertension from our laboratory at the National Institutes of Health. Understanding the different genetics of hypertension among various groups is essential for effective precision-guided medical therapy of high blood pressure
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