Objective: Weight loss is conditionally recommended for gout management; however, its impact on incident gout and recurrent gout flares among individuals who were overweight and obese remains unknown. We investigate the relationship between weight loss rate following treatment with anti-obesity medications and the risk of incident gout and recurrent gout flares among individuals who were overweight or obese.
Methods: Using data from the Health Improvement Network, we selected individuals aged 18 and older who were overweight or obese and started anti-obesity medication. We emulated a target trial to examine the association of different weight loss rates, slow (2%-5%), moderate (5%-10%), or fast (≥10%), within the first year of treatment with incident gout and recurrent gout flares during a 5 year follow-up period.
Results: Among 131,000 participants without gout being treated with orlistat, the 5-year risk of incident gout was 1.6% for those with weight gain or stability, compared with 1.5%, 1.3%, and 1.2% for those with slow, moderate, and fast weight loss, respectively. Compared with the group with weight gain or stability, the hazard ratios were 0.91 (95% confidence interval [CI] 0.81-1.01), 0.82 (95% CI 0.72-0.92), and 0.73 (95% CI 0.62-0.86) for those with a slow, moderate, and fast rate of weight loss, respectively. Similar results were observed for the recurrent gout flares among 3,847 individuals with overweight or obese with gout treated with orlistat.
Conclusion: A higher rate of weight loss after receiving treatment with orlistat within 1 year was associated with lower risks of incident gout and lower rates of recurrent gout flares among overweight or obese people.
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http://dx.doi.org/10.1002/art.42996 | DOI Listing |
Diabetol Metab Syndr
January 2025
Faculty of Medicine, Cairo University,Internal Medicine Diabetes and Endocrinology Department, Cairo, Egypt.
For patients considering bariatric surgery, it is essential to have clear answers to common questions to ensure the success of the procedure. Patients should understand that surgery is not a quick fix but a tool that must be complemented by lifestyle changes, including dietary adjustments and regular physical activity. The procedure carries potential risks that should be weighed against the potential benefits.
View Article and Find Full Text PDFSci Rep
January 2025
LCEA Laboratory, Faculty of Sciences, Mohammed Premier University, Oujda, Morocco.
In the current investigation, the efficiency inhibition of two newly synthesized bi-pyrazole derivatives, namely 2,3-bis[(bis((1 H-pyrazol-1-yl) methyl) amino)] pyridine (Tetra-Pz-Ortho) and 1,4-bis[(bis((1 H-pyrazol-1-yl) methyl) amino)] benzene (Tetra-Pz-Para) for corrosion of carbon steel (C&S) in 1 M HCl medium was evaluated. A Comparative study of inhibitor effect of Tetra-Pz-Ortho and Tetra-Pz-Para was conducted first using weight loss method and EIS (Electrochemical Impedance Spectroscopy) and PDP (Potentiodynamic Polarisation) techniques. Tetra-Pz-Ortho and Tetra-Pz-Para had a maximum inhibition efficacy of 97.
View Article and Find Full Text PDFTheor Appl Genet
January 2025
Wheat Genetics Resource Center, Kansas State University, Manhattan, KS, USA.
Loss-of-function mutations induced by CRISPR-Cas9 in the TaGS3 gene homoeologs show non-additive dosage-dependent effects on grain size and weight and have potential utility for increasing grain yield in wheat. The grain size in cereals is one of the component traits contributing to yield. Previous studies showed that loss-of-function (LOF) mutations in GS3, encoding Gγ subunit of the multimeric G protein complex, increase grain size and weight in rice.
View Article and Find Full Text PDFSci Rep
January 2025
College of Electrical and Information Engineering, Beihua University, Jilin, 132013, China.
Remote sensing images often suffer from the degradation effects of atmospheric haze, which can significantly impair the quality and utility of the acquired data. A novel dehazing method leveraging generative adversarial networks is proposed to address this challenge. It integrates a generator network, designed to enhance the clarity and detail of hazy images, with a discriminator network that distinguishes between dehazed and real clear images.
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