Predictive Value of Limb Artery Indices and Endothelial Functional Tests for the Degree of Coronary Artery Stenosis in a Diabetic Population

A nomogram based on endothelial function and conventional risk factors predicts coronary artery disease in hypertensives

BACKGROUND

There is currently a lack of a precise, concise, and practical clinical prediction model for predicting coronary artery disease (CAD) in patients with essential hypertension (EH). This study aimed to construct a nomogram to predict CAD in patients with EH based on flow-mediated dilation (FMD) of brachial artery and traditional risk factors.

METHODS

Clinical data of 1752 patients with EH were retrospectively collected. High-resolution vascular ultrasound was used to detect FMD in all patients at the Fujian Hypertension Research Institute, China. Patients were divided into two groups, i.e. training group (n = 1204, from August 2000 to December 2013) and validation group (n = 548, from January 2014 to May 2016) according to the time of enrollment. Independent predictors of CAD were analyzed by multivariable logistic regression in the training group, and a nomogram was constructed accordingly. Finally, we evaluated the discrimination, calibration, and clinical applicability of the model using the area under curve (AUC) of receiver operating characteristic analysis, calibration curve combined with Hosmer-Lemeshow test, and decision curve, respectively.

RESULTS

There were 263 (21.8%) cases of EH combined with CAD in the training group. Multivariate logistic regression showed that FMD, age, duration of EH, waist circumference, and diabetes mellitus were independent influencing factors for CAD in EH patients. Smoking which was close to statistical significance (P = 0.062) was also included in the regression model to increase the accuracy. Ultimately, the nomogram for predicting CAD in EH patients was constructed according to above predictors after proper transformation. The AUC values of the training group and the validation group were 0.799 (95%CI 0.770-0.829) and 0.836 (95%CI 0.787-0.886), respectively. Calibration curve and Hosmer-Lemeshow test showed that the model had good calibration (training group: χ² = 0.55, P = 0.759; validation group: χ² = 1.62, P = 0.446). The decision curve also verified the clinical applicability of the nomogram.

CONCLUSION

The nomogram based on FMD and traditional risk factors (age, duration of EH disease, smoking, waist circumference and diabetes mellitus) can predict CAD high-risk group among patients with EH.

Lower Plasma Albumin, Higher White Blood Cell Count and High-Sensitivity C-Reactive Protein are Associated with Femoral Artery Intima-Media Thickness Among Newly Diagnosed Patients with Type 2 Diabetes Mellitus

Introduction

Low albumin levels, high levels of high-sensitivity C-reactive protein (hs-CRP), and high white blood cell count were risk factors for changes in arterial intima-media thickness (IMT). Femoral artery IMT damages were one of the common peripheral artery type 2 diabetes. This study was conducted to determine the association between femoral artery IMT and plasma albumin, hs-CRP levels, and white blood cell count in newly diagnosed patients with type 2 diabetes mellitus (nT2D).

Materials and Methods

From January 2015 to May 2020, 306 patients with nT2D were recruited for this cross-sectional descriptive study at Vietnam’s National Endocrinology Hospital. We measured IMT by Doppler ultrasound.

Results

There was a statistically significant difference in albumin, hs-CRP levels, hs-CRP-to-albumin ratio, and white blood cell counts between three different IMT groups namely normal IMT, thick IMT, and atherosclerosis (p = 0.003, p = 0.001, p = 0.001 and p = 0.049, respectively). In the multivariate linear regression analysis, white blood cell count, and hs-CRP levels showed a significantly positive correlation to IMT (standardized B and p of 0.17, 0.015 and 0.163, 0.024, respectively), but albumin levels were a significantly negative correlation to IMT (standardized B = –0.151, p = 0.029). The multivariate logistic regression analysis showed that albumin (OR = 0.79, 95% CI 0.65–0.90, p = 0.018), hs-CRP (OR = 1.09, 95% CI 1.01–1.18, p = 0.026), and white blood cell count (OR = 1.36, 95% CI 1.03–1.81, p = 0.033) had correlation to atherosclerosis of femoral artery.

Conclusion

Reduced plasma albumin, elevated hs-CRP, and white blood cell count associated with IMT increased the odds for atherosclerosis of femoral artery among nT2D.