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24 results for “Composite index”
The Effect of Rocuronium on the Response of Composite Variability Index (CVI) to Laryngoscopy
ClinicalTrials.gov study NCT00926718. IPD Sharing: Not stated. Countries: 1. Publications: 0.
The Effect of Consuming on Body Composition and Blood Biochemistry Index
ClinicalTrials.gov study NCT04501601. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Indexes of adiposity and body composition in the prediction of metabolic syndrome in obese children and adolescents: Which is the best?
<p>Background and aim</p> <p>There is no agreement about which index of adiposity and/or body composition is the most accurate in identifying the metabolic syndrome (METS). The aim of our study was to compare the accuracy of the different indexes in order to recognize the most reliable.</p> <p>Methods and results</p> <p>We evaluated 1332 obese children and adolescents (778 females and 554 males), aged 14.4 ± 1.8 yrs, Body Mass Index (BMI) standard deviation scores (SDS) 2.99 ± 0.55, followed at the Istituto Auxologico Italiano, a tertiary center for childhood obesity. For each subject the following indexes were assessed: BMI, BMI SDS, Fat-Free Mass Index (FFMI), Fat Mass Index (FMI), Tri-Ponderal Mass Index (TMI), Waist-to-Height ratio (WtHR) and a new one, the Body Mass Fat Index (BMFI), which normalizes the BMI for percentage of body fat and the waist circumference. Thereafter we calculated for each index a threshold value for age and sex, in order to compare their accuracy, sensitivity and specificity in identifying the METS. There was a good correlation among indexes (p < 0.0001 for all). However, when the area under the curve (AUC) was compared, some of them, in particular the BMFI and the BMI, performed better than the other ones, although the differences were small.</p> <p>Conclusions</p> <p>BMI, which neither considers body composition nor fat distribution, performs as good as other indexes, and should therefore be the preferred one, also because of the easiness of its calculation.</p>
Progressive Additive Benefits of Prehabilitation and Subsequent Bariatric Surgery on Cardiac Autonomic Regulation as Assessed by Means of a Simple Unitary Composite Index: Preliminary Data from an Observational Study
<p>Obesity is associated with an increased risk of several chronic comorbidities, which may<br> also be determined by dysfunctional autonomic nervous system (ANS). The influence of bariatric<br> surgery (BS) on ANS balance was explored in previous studies, but with high heterogeneity in both<br> the assessment timing and methods employed. In the present observational study, we applied a<br> clinical protocol which considers two subsequent phases. Twenty-nine non-diabetic obese subjects<br> were studied at baseline (T0), after one month of lifestyle modification (prehabilitation) (phase 1-T1),<br> and after eight months following BS (phase 2-T2). ANS regulation was assessed across the three study<br> epochs by means of ANSI, a single composite percent-ranked proxy of autonomic balance, being free<br> of gender and age bias, economical and simple to apply in a clinical setting. The aim of the present<br> study was to investigate the effects of the clinical protocol based on prehabilitation and subsequent<br> BS on the ANS regulation by means of ANSI. Potential intertwined correlations with metabolic<br> parameters were also investigated. Notably, we observed a progressive improvement in ANS control,<br> even by employing ANSI. Moreover, the reduction in the markers of sympathetic overactivity was<br> found to significantly correlate with the amelioration in some metabolic parameters (fasting glucose,<br> insulin levels, and waist circumference), as well as in stress and tiredness perception. In conclusion,<br> this study provides convincing evidence that a unitary proxy of cardiac autonomic regulation (CAR)<br> may reflect the progressive improvement in autonomic regulation following behavioral and surgical<br> interventions in obese patients. Intriguingly, this might contribute to reducing cardiovascular and<br> metabolic risk.</p>
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Allen Brain Atlas
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International Brain Laboratory public data
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OpenNeuro
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