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GENE POLYMORPHISM ANALYSIS OF CHEMOKINES, CHEMOKINE RECEPTORS, ACUTE PHASE PROTEINS, AND CD14 IN FEMALE OBESITY DEVELOPMENT
Published 2018-11-01“…It has been shown that the AA genotype of polymorphic locus rs3732378 of the CX3CR1 gene is associated with increased body weight (p = 0.002) and elevated BMI (p = 0.018); the GG genotype of polymorphic locus rs1024611 of the CCL2 gene is associated with elevated fasting glucose level (p = 0.001).As based on clinical and genetic data and using logistic regression, some statistically significant differences were revealed, which allow to predict development of obesity in Tatar women.…”
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Development and validation of a practical predicting model for early mortality in polytrauma patients: secondary analysis from Switzerland
Published 2025-06-01“…Objectives To establish a practical tool for the prediction of mortality in polytrauma patients.Design Secondary analysis of data from a public database.Setting A tertiary hospital in Switzerland.Participants 2406 polytrauma patients were enrolled in this study, and the mean age was 44.4±19.9 years with 74.8% men.Interventions No.Outcome measures Logistic regression analysis was conducted to explore the relationship between early deaths and variables. …”
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Navigating cultural landscapes: a thematic analysis of home faculty experiences in transborder simulation curriculum development and adaptation
Published 2025-07-01“…Methods This study adopts an exploratory qualitative approach, conducting a thematic analysis of data gathered by in-depth semi-structured interviews with faculty and simulation staff from various institutions actively participating in transborder curriculum partnerships. …”
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Development of a Methodology for Technical Diagnostics of Pipelines of the Gas Distribution System and Analysis of the Effectiveness of Ways to Restore their Operability
Published 2025-04-01“…A technique for technical diagnostics of steel underground gas pipelines is proposed, taking into account aggregated statistical data. A method for prioritizing gas distribution system facilities is described.…”
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The biopsychosocial factors associated with development of chronic musculoskeletal pain. An umbrella review and meta-analysis of observational systematic reviews.
Published 2024-01-01“…Data analysis was performed through random effects meta-analysis (including meta-analysis of meta-analyses where possible) and descriptive synthesis.…”
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Identification and validation of cigarette smoking-related genes in predicting prostate cancer development through bioinformatic analysis and experiments
Published 2024-12-01“…Cigarette smoking, which is also an important factor in the development of PCa, can lead to genetic alterations and consequently promote PCa development. …”
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Risk factor analysis and predictive nomogram development for in-hospital mortality in patients with ST-segment elevation myocardial infarction
Published 2025-08-01“…The aim of this study was to identify risk factors and develop a nomogram to predict in-hospital mortality in STEMI patients. …”
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Comparative transcriptome analysis on candidate genes involved in lipid biosynthesis of developing kernels for three walnut cultivars in Xinjiang
Published 2022-09-01“…In order to explore the biosynthesis molecular mechanism of oil accumulation and fatty acid (FA) synthesis in walnut, the samples at different development periods of three walnut cultivars, ‘Zhipi’ (ZP), ‘Xinwu 417’ (W417) and ‘Xinwen 81’ (W81) were collected for transcriptomic analysis. …”
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Analysis of Risk Factors and Development of a Predictive Model for Delirium in ICU Patients: Construction, Validation, and Clinical Implications
Published 2025-07-01“…Logistic regression analysis revealed that the Glasgow Coma Scale (GCS) score (OR=0.421, 95% CI: 0.355– 0.501, P< 0.001), blood urea nitrogen (BUN) (OR=1.169, 95% CI: 1.014– 1.348, P=0.031), emergency surgery (OR=2.735, 95% CI: 1.42– 5.268, P=0.003), use of sedative medications (OR=3.816, 95% CI: 1.968– 7.397, P< 0.001), and postoperative status following major cardiovascular surgery (OR=2.124, 95% CI: 1.205– 3.745, P=0.009) were identified as independent risk factors for delirium in the ICU.Conclusion: The predictive model developed in this study for the occurrence of delirium in ICU patients has been validated, demonstrating high predictive efficacy and offering significant clinical early warning guidance.Keywords: delirium, intensive care unit, prediction model, risk factor, nomogram…”
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