Litcius/Paper detail

High-Sensitivity C-Reactive Protein to HDL-C Ratio

Haorou Luo, Tuli Kou, Lixue Yin

2021International Heart Journal22 citationsDOIOpen Access PDF

Abstract

group, and control group. The relationship between various serum markers and the severity of coronary artery disease was examined via Spearman's correlation analysis. Logistic regression analysis was conducted to identify the influencing factors of the coronary artery disease severity.This study included 420 patients. The Gensini score was positively correlated with CHR. Multiple regression analysis revealed that the CHR was significantly associated with CAD. CHR is an independent predictor of CAD. The receiver operating characteristic (ROC) analysis provided a cut-off value of 1.17 for CHR to predict CAD, with a specificity of 86.7%, Yoden index of 0.264, and area under the ROC curve of 0.662 (95% confidence intervals 0.606-0.719, P < 0.001). At the same time, the area under the ROC curve of the NHR was 0.652, and that of the NLR was 0.579. The results of the DeLong test indicated that the area under the ROC curve of the CHR was larger than that of the NLR (P = 0.0306). This suggests that the CHR as a predictor of CAD has better diagnostic performance than the NLR.CHR was not only closely related to the presence and severity of CAD but also an independent predictor of severe CAD.

Topics & Concepts

MedicineReceiver operating characteristicCoronary artery diseaseInternal medicineBiomarkerC-reactive proteinConfidence intervalNeutrophil to lymphocyte ratioLogistic regressionCardiologyCholesterolHigh-density lipoproteinPathogenesisArea under the curveLikelihood ratios in diagnostic testingCoronary angiographyGastroenterologyInflammationLymphocyteMyocardial infarctionBiochemistryChemistryInflammatory Biomarkers in Disease PrognosisAdipokines, Inflammation, and Metabolic DiseasesLipoproteins and Cardiovascular Health