Publications by authors named "L J Vigil"

We compared body composition, biochemical parameters, motor function, and brain neural activation in 27 adults with Prader-Willi syndrome and growth-hormone deficiency versus age-and sex-matched controls and baseline versus posttreatment values of these parameters after one year of recombinant human growth hormone (rhGH) treatment. To study body composition, we analyzed percentage of fat mass, percentage of lean mass, and muscle-mass surrogate variables from dual X-ray absorptiometry. Biochemical parameters analyzed included IGF-I, glucose metabolism, and myokines (myostatin, irisin, and IL6).

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Study Objective: There is very limited information about the effect of continuous positive airway pressure (CPAP) in the very elderly. Here we aimed to analysed the effect of CPAP on a clinical cohort of patients with obstructive sleep apnea (OSA) ≥80 years old.

Methods: Post-hoc pooled analysis of two open-label, multicenter clinical trials aimed to determine the effect of CPAP in a consecutive clinical cohort of elderly (≥70 years old) with moderate-to-severe OSA (apnea-hipopnea index ≥15 events/hour) randomized to receive CPAP or no CPAP for three months.

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The phenotypic characteristics of chronic obstructive pulmonary disease (COPD) in individuals younger than 50 years of age (early COPD) are not well defined. This prospective, multicentre, case-control study sought to describe these characteristics and compare them with those of smokers (≥10 pack-years) of similar age with normal spirometry (controls). We studied 92 cases (post-bronchodilator forced expiratory volume in 1 s (FEV)/forced vital capacity (FVC) <0.

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Background: The endoscopically implanted duodenal-jejunal bypass liner (DJBL) is an attractive alternative to bariatric surgery for obese diabetic patients. This article aims to study dynamical aspects of the glycaemic profile that may influence DJBL effects.

Methods: Thirty patients underwent DJBL implantation and were followed for 10 months.

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Complexity analysis of glucose time series with Detrended Fluctuation Analysis (DFA) has been proved to be useful for the prediction of type 2 diabetes mellitus (T2DM) development. We propose a modified DFA algorithm, review some of its characteristics and compare it with other metrics derived from continuous glucose monitorization in this setting. Several issues of the DFA algorithm were evaluated: (1) Time windowing: the best predictive value was obtained including all time-windows from 15 minutes to 24 hours.

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