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Article ; Online: Weight regain and cardiometabolic effects after withdrawal of semaglutide: The STEP 1 trial extension.

Wilding, John P H / Batterham, Rachel L / Davies, Melanie / Van Gaal, Luc F / Kandler, Kristian / Konakli, Katerina / Lingvay, Ildiko / McGowan, Barbara M / Oral, Tugce Kalayci / Rosenstock, Julio / Wadden, Thomas A / Wharton, Sean / Yokote, Koutaro / Kushner, Robert F

Diabetes, obesity & metabolism

2022 Volume 24, Issue 8, Page(s) 1553–1564

Abstract: Aim: To explore changes in body weight and cardiometabolic risk factors after treatment withdrawal in the STEP 1 trial extension.: Materials and methods: STEP 1 (NCT03548935) randomized 1961 adults with a body mass index ≥ 30 kg/m: Results: ... ...

Abstract	Aim: To explore changes in body weight and cardiometabolic risk factors after treatment withdrawal in the STEP 1 trial extension. Materials and methods: STEP 1 (NCT03548935) randomized 1961 adults with a body mass index ≥ 30 kg/m Results: Extension analyses included 327 participants. From week 0 to week 68, mean weight loss was 17.3% (SD: 9.3%) with semaglutide and 2.0% (SD: 6.1%) with placebo. Following treatment withdrawal, semaglutide and placebo participants regained 11.6 (SD: 7.7) and 1.9 (SD: 4.8) percentage points of lost weight, respectively, by week 120, resulting in net losses of 5.6% (SD: 8.9%) and 0.1% (SD: 5.8%), respectively, from week 0 to week 120. Cardiometabolic improvements seen from week 0 to week 68 with semaglutide reverted towards baseline at week 120 for most variables. Conclusions: One year after withdrawal of once-weekly subcutaneous semaglutide 2.4 mg and lifestyle intervention, participants regained two-thirds of their prior weight loss, with similar changes in cardiometabolic variables. Findings confirm the chronicity of obesity and suggest ongoing treatment is required to maintain improvements in weight and health.
MeSH term(s)	Adult ; Cardiovascular Diseases/epidemiology ; Diabetes Mellitus/epidemiology ; Glucagon-Like Peptides/administration & dosage ; Humans ; Weight Gain
Chemical Substances	semaglutide (53AXN4NNHX) ; Glucagon-Like Peptides (62340-29-8)
Language	English
Publishing date	2022-05-19
Publishing country	England
Document type	Journal Article ; Randomized Controlled Trial ; Research Support, Non-U.S. Gov't
ZDB-ID	1454944-x
ISSN	1463-1326 ; 1462-8902
ISSN (online)	1463-1326
ISSN	1462-8902
DOI	10.1111/dom.14725
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Seismic fragility curves for structures using non-parametric representations

Mai, Chu / Konakli, Katerina / Sudret, Bruno / id_orcid:0 000-0002-9501-7395

Frontiers of Structural and Civil Engineering, 11 (2)

2017

Abstract: Fragility curves are commonly used in civil engineering to assess the vulnerability of structures to earthquakes. The probability of failure associated with a prescribed criterion (e.g., the maximal inter-storey drift of a building exceeding a certain ... ...

Abstract	Fragility curves are commonly used in civil engineering to assess the vulnerability of structures to earthquakes. The probability of failure associated with a prescribed criterion (e.g., the maximal inter-storey drift of a building exceeding a certain threshold) is represented as a function of the intensity of the earthquake ground motion (e.g., peak ground acceleration or spectral acceleration). The classical approach relies on assuming a lognormal shape of the fragility curves; it is thus parametric. In this paper, we introduce two non-parametric approaches to establish the fragility curves without employing the above assumption, namely binned Monte Carlo simulation and kernel density estimation. As an illustration, we compute the fragility curves for a three-storey steel frame using a large number of synthetic ground motions. The curves obtained with the non-parametric approaches are compared with respective curves based on the lognormal assumption. A similar comparison is presented for a case when a limited number of recorded ground motions is available. It is found that the accuracy of the lognormal curves depends on the ground motion intensity measure, the failure criterion and most importantly, on the employed method for estimating the parameters of the lognormal shape. ISSN:2095-2430 ISSN:2095-2449
Keywords	Earthquake engineering ; Fragility curves ; Lognormal assumption ; Non-parametric approach ; Kernel density estimation ; Epistemic uncertainty ; info:eu-repo/classification/ddc/620 ; info:eu-repo/classification/ddc/550 ; Engineering & allied operations ; Earth sciences
Subject code	541
Language	English
Publisher	Springer
Publishing country	ch
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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