Background: In this meta-analysis, we aimed to systematically examine the relationship between body mass index and major adverse cardiovascular events in acute coronary syndrome patients and to provide theoretical guidance for body weight management in these patients.
Methods: A comprehensive analysis of applicable research published between 2008 and 2021 was conducted using the PubMed, Cochrane, Web of Science, Wanfang, and CNKI databases. Extracted odds ratios from the randomized-controlled studies were pooled using fixed-effects meta-analysis. Publication bias was addressed through evaluation methods such as funnel plot or sensitivity analysis.
Results: Ten studies with a total of 58,992 individuals were included. The consequences of this meta-analysis confirmed that, compared to normal body mass index, patients with acute coronary syndrome significantly increased the risk of major adverse cardiovascular events (odds ratio= 1.20; 95% confidence interval: 1.12-1.29, p<0.001).
Conclusion: Patients with acute coronary syndrome being overweight or obese significantly increased the risk of major adverse cardiovascular events compared to those with normal body mass index. The results suggest that patients may focus on weight management to reduce the risk of major adverse cardiovascular events in acute coronary syndrome.
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http://dx.doi.org/10.5606/tgkdc.dergisi.2024.24405 | DOI Listing |
Ann N Y Acad Sci
December 2024
National Institute of Health Data Science, Peking University, Beijing, China.
Behavior-change lifestyle interventions are fundamental in children and adolescent obesity management. This scoping review discusses optimal behavior-change lifestyle interventions in the treatment of overweight and obesity in children and adolescents. A literature search on diet, physical activity, and behavioral intervention for obesity treatment in children and adolescents aged 0-19 years was conducted in the Cochrane Library, MEDLINE (OVID), EMBASE, and ClinicalTrials.
View Article and Find Full Text PDFJ Clin Psychopharmacol
December 2024
Human Molecular Genetics Laboratory, Institut Pasteur de Montevideo.
Purpose/background: Clozapine is the recommended drug for treatment-resistant schizophrenia. Drug response could be affected by numerous factors such as age, sex, body mass index, co-medication, consumption of xanthine-containing beverages, smoking, and genetic variants of the enzymes involved in clozapine metabolism (CYP1A2, CYP3A4, and, to a lesser extent, CYP2C19 and CYP2D6). This study evaluated genetic and nongenetic variables that may affect clozapine plasma concentrations in Uruguayan patients with schizophrenia.
View Article and Find Full Text PDFArch Toxicol
December 2024
Laboratory of Molecular Toxicology, State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, 1-5 Beichenxilu Road, Beijing, 100101, China.
Chlorpyrifos (CPF) is one of the most widely used organophosphorus pesticides all over the world. Unfortunately, long-term exposure to CPF may cause considerable toxicity to organisms. Some evidence suggests that the intestinal microbial community may be involved in regulating the toxicity of CPF.
View Article and Find Full Text PDFPulm Ther
December 2024
Division of Pulmonary and Critical Care Medicine, University of Michigan, Ann Arbor, MI, USA.
Introduction: Asthma is a complex condition characterized by airway inflammation. Interleukin-6 (IL-6) plays a significant role in asthma pathogenesis through its effects on T cells and its association with pro-inflammatory responses. Both lung and circulating IL-6 levels are elevated in asthma.
View Article and Find Full Text PDFArch Orthop Trauma Surg
December 2024
Department of Orthopedic Surgery and Orthopedic Research Institute, Stem Cell and Tissue Engineering Research Center, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, People's Republic of China.
Purpose: The two-stage exchange revision represents a pivotal strategy in the management of prosthetic joint infections, wherein the judicious timing of reimplantation serves as a crucial determinant for therapeutic success. At present, attempts have been made to utilize predictive models to establish the optimal timing for reimplantation; however, their predictive accuracy remains unsatisfactory. This inadequacy primarily arises from the lack of dependable predictive indicators, which demonstrate inconsistent effectiveness across various studies and occasionally yield contradictory outcomes.
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