Frontiers in endocrinology
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Front Endocrinol (Lausanne) · Jan 2020
Prognostic Impact of Hyponatremia and Hypernatremia in COVID-19 Pneumonia. A HOPE-COVID-19 (Health Outcome Predictive Evaluation for COVID-19) Registry Analysis.
Dysnatremia is associated with increased mortality in patients with community-acquired pneumonia. SARS-COV2 (Severe-acute-respiratory syndrome caused by Coronavirus-type 2) pneumonia can be fatal. The aim of this study was to ascertain whether admittance dysnatremia is associated with mortality, sepsis, or intensive therapy (IT) in patients hospitalized with SARS-COV2 pneumonia. ⋯ Both hyponatremia and hypernatremia were associated with mortality and sepsis. Only hyponatremia was associated with IT. In conclusion, hyponatremia and hypernatremia at admission are factors independently associated with mortality and sepsis in patients hospitalized with SARS-COV2 pneumonia.
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Front Endocrinol (Lausanne) · Jan 2020
Meta AnalysisTestosterone Supplementation in Patients With Chronic Heart Failure: A Meta-Analysis of Randomized Controlled Trials.
Background: The effect of testosterone supplementation in patients with chronic heart failure (CHF) remains uncertain. Methods: A meta-analysis of randomized controlled trials (RCTs) was performed. RCTs that evaluate the chronic effect of testosterone supplementation on exercise capacity and cardiac function in CHF were identified via searching of PubMed, Embase, and the Cochrane's Library databases. ⋯ Moreover, testosterone supplementation did not significantly affect left ventricular ejection fraction (WMD: -1.52%, p = 0.37), serum B-type natriuretic peptide (SMD: -0.19, p = 0.23), or a composite outcome of death or HF hospitalization (risk ratio [RR]: 1.02, p = 0.96). Although testosterone supplementation increased systolic blood pressure (BP) in CHF patients (WMD: 5.68 mmHg, p < 0.001), diastolic BP or heart rate was not significantly changed as compared to control. Conclusions: Testosterone supplementation within a physiological range is not associated with significantly improved exercise capacity, cardiac function, quality of life, or clinical outcome in CHF patients.
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Front Endocrinol (Lausanne) · Jan 2020
Randomized Controlled TrialMotivational Interviewing and Self-Care in Type 1 Diabetes: A Randomized Controlled Clinical Trial Study Protocol.
Type 1 diabetes is a disease with complex therapeutic recommendations that require day-to-day lifestyle changes. Motivational Interviewing is a communication tool that has proved effective in changing behaviors in people with addictions, obesity and type 2 diabetes. Our objective is to evaluate the effects of a Motivational Interviewing intervention in people with type 1 diabetes. ⋯ https://clinicaltrials.gov/ct2/show/NCT03906786, identifier NCT03906786.
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Front Endocrinol (Lausanne) · Jan 2020
Roles of Testosterone and Estradiol in Mediation of Acute Neuroendocrine and Electroencephalographic Effects of Sevoflurane During the Sensitive Period in Rats.
Testosterone (T), predominantly acting through its derivative 17β-estradiol (E2), regulates the brain's sexual differentiation in rodents during the perinatal sensitive period, which mirrors the window of vulnerability to the adverse effects of general anesthetics. The mechanisms of anesthesia's adverse effects are poorly understood. We investigated whether sevoflurane alters T and E2 levels and whether they contribute to sevoflurane's acute adverse effects in postnatal day 5 Sprague-Dawley rats. ⋯ The ERα antagonist MPP, but not the ERβ antagonist PHTPP, reduced electroencephalography-detectable seizures and normalized the Nkcc1/Kcc2 mRNA ratio. Collectively, sevoflurane exacerbates levels of T in males and E2 in both sexes during the period of their organizational effects in rodents. Sevoflurane acts through GABAAR-mediated, systemic T-independent elevation of E2 to cause electroencephalography-detectable seizures, stress-like corticosterone secretion, and changes in the expression of genes critical for brain development.
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Front Endocrinol (Lausanne) · Jan 2020
Automatic Vertebral Body Segmentation Based on Deep Learning of Dixon Images for Bone Marrow Fat Fraction Quantification.
Background: Bone marrow fat (BMF) fraction quantification in vertebral bodies is used as a novel imaging biomarker to assess and characterize chronic lower back pain. However, manual segmentation of vertebral bodies is time consuming and laborious. Purpose: (1) Develop a deep learning pipeline for segmentation of vertebral bodies using quantitative water-fat MRI. (2) Compare BMF measurements between manual and automatic segmentation methods to assess performance. ⋯ Automatic segmentation was also feasible in 16 ± 1 s. Conclusion: Our results have demonstrated the feasibility of automated segmentation of vertebral bodies using deep learning models on water-fat MR (Dixon) images to define vertebral regions of interest with high specificity. These regions of interest can then be used to quantify BMF with comparable results as manual segmentation, providing a framework for completely automated investigation of vertebral changes in CLBP.