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Metabolomic Profiling of Pregnancies With Polycystic Ovary Syndrome Identifies a Unique Metabolic Signature and Potential Predictive Biomarkers of Low Birth Weight
منشور في 2021"…As a group, systolic blood pressure (SBP) at both second trimester and at delivery negatively correlated with birth weight. Regression models indicated significant increases in the triglycerides C20:4_C34:3 and C18:2_C38:6 in the PCOS group [false discovery rate (FDR) <0.05]. …"
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Associations between Bone Mineral Density and WOMAC Scores in Healthy Individuals: Insights from the Qatar Biobank
منشور في 2024"…<u>Multiple linear regression</u> was used to examine associations between sociodemographic factors, total body BMD and BMD related to specific skeletal sites (including femoral (femoral neck and trochanter), trunk, pelvis and total spine), and the three WOMAC subscales (pain, stiffness, and physical function). …"
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Correlations between Resting Electrocardiogram Findings and Disease Profiles: Insights from the Qatar Biobank Cohort
منشور في 2024"…Results: Significant associations were observed with ECG traits. …"
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The role of anti-Mullerian hormone and other correlates in patients with polycystic ovary syndrome
منشور في 2023"…Sensitivity, specificity, area under receiver operating characteristic (AUROC) curve, and multivariate linear regression models were applied to analyze our data.ResultsMean serum levels of LH and AMH, and LH/FSH ratio were significantly different between compared groups. …"
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Prognostic effects of cardiopulmonary resuscitation (CPR) start time and the interval between CPR to extracorporeal cardiopulmonary resuscitation (ECPR) on patient outcomes under e...
منشور في 2024"…</p><h3>Results</h3><p dir="ltr">The results of the adjusted logistic regression analysis showed that a longer NFT was associated with unfavorable clinical outcomes. …"
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Trends in prescribing and outcomes in obese versus non-obese patients receiving rivaroxaban therapy: an observational study using real-world data
منشور في 2023"…Multivariate logistic regression analyses showed that the likelihood of all-cause mortality was significantly higher in overweight and all categories of obese patients compared to underweight patients: overweight (OR: 5.3, 95% CI: 2.3–11.9, p< 0.001); obese class 1 (OR: 5.4, 95% CI: 2.3 – 12.2, p< 0.001); obese class 2 (OR: 6.5, 95% CI: 2.7 – 15.6, p< 0.001); and obese class 3 (OR: 3.7, 95% CI: 1.6 – 8.7, p = 0.003).…"
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