Publications by authors named "Ruoling Teng"
Correlation study of multiple inflammatory indices and vertebral compression fracture: A cross-sectional study.
J Clin Transl Endocrinol
September 2024
Background: Vertebral compression fractures (VCFs) are prevalent in patients with osteoporosis and pose significant health risks. Although chronic low-grade inflammation plays a crucial role in the pathogenesis of osteoporosis, the relationship between various inflammatory indices and the occurrence of fractures remains unclear.
Objective: This study aims to evaluate the correlation between multiple inflammatory indices, neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), platelet-to-lymphocyte ratio (PLR), systemic immune-inflammatory index (SII), and systemic inflammatory response index (SIRI), and VCFs, to explore the significance of these indices in clinical application.
Background: Dilated cardiomyopathy (DCM) is currently the major cause of systolic heart failure. This study explored potential therapeutic targets and investigated the role of immune cell infiltration in DCM.
Methods: Three DCM datasets (GSE3585, GSE9800, and GSE84796) from the Gene Expression Omnibus (GEO) database were merged into an integrated dataset, and batch effects were removed.
Background: To investigate the effect of thyrotropin (TSH) suppressive therapy on lumbar bone mineral density (BMD) in patients with differentiated thyroid cancer (DTC) after operation.
Methods: We retrospectively analyzed 70 DTC patients at intermediate or high risk of recurrence, including 17 males, 30 premenopausal females, and 23 postmenopausal females. All patients were treated with oral 131I to clear any residual thyroid and L-thyroxine tablets to suppress TSH after surgery.
Background: We recently developed the Coronary Artery Tree description and Lesion EvaluaTion (CatLet) angiographic scoring system. Our preliminary study demonstrated that the CatLet score better predicted clinical outcomes than the SYNTAX score. The current study aimed at assessing whether 3 clinical variables (CVs) - age, serum creatinine, and left ventricular ejection fraction (LVEF) - improved the performance of the CatLet score in outcome predictions in patients with acute myocardial infarction (AMI).
View Article and Find Full Text PDFBackground: Previously, we developed a novel Coronary Artery Tree description and Lesion EvaluaTion (CatLet©) angiographic scoring system, which was capable of accounting for the variability in the coronary anatomy and assisting in the risk-stratification of patients with acute myocardial infarction (AMI). Our preliminary study revealed that the CatLet score better predicted clinical outcomes for AMI patients than the Synergy between Percutaneous Coronary Intervention with Taxus and Cardiac Surgery score. However, the reproducibility of the CatLet score in both inter- and intra-observer remains to be evaluated.
View Article and Find Full Text PDFBackground: Possible interaction between Lipoprotein (a) (Lp(a)) and body mass index (BMI) was investigated with regard to the risk of first incident acute myocardial infarction (AMI).
Methods: Cross-sectional study of 1522 cases with initial AMI and 1691 controls without coronary artery disease (CAD) were retrospectively analyzed using logistic regression model. Subjects were categorized based on Lp(a) and BMI and compared with regard to occurrence of AMI by calculating odds ratios (ORs) with 95% confidence intervals (CIs).
Background: The SYNTAX score for decision makings or outcome predictions in coronary artery disease does not account for the variations in the coronary anatomy, which is a clear fallacy for patients with less typical anatomy than suggested by the SYNTAX score. The current study aimed to derive a new coronary angiographic scoring system accommodating the variability in the coronary anatomy.
Methods: The 17-myocardial segment model and laws of competitive blood supply and flow conservation were utilized to derive this new scoring system.