Establishment of an Individual-Specific Nomogram for Predicting the Risk of Left Ventricular Hypertrophy in Chinese Postmenopausal Hypertensive Women

Abstract

Background and Objectives: The physiological phenomenon peculiar to women, namely menopause, makes the occurrence of left ventricular hypertrophy (LVH) in postmenopausal hypertensive women more characteristic. Less is known about the risk of developing LVH in Chinese postmenopausal hypertensive women. Thus, the present study was intended to design a nomogram for predicting the risk of developing LVH in Chinese postmenopausal hypertensive women. Materials and Methods: Postmenopausal hypertensive women aged between 49 and 68 years were divided into either the training set (n = 550) or the validation set (n = 284) in a 2:1 ratio. Patients in the validation set were followed up for one year. A stepwise multivariable logistic regression model was used to assess the predictors of LVH in postmenopausal women with hypertension. The best-fit nomogram was executed using R software. The calibration and decision curve were employed to verify the predictive accuracy of the nomogram. The results were evaluated in the validation set. Results: Menopause age (OR = 0.929, 95% CI 0.866–0.998, p = 0.044), BMI (OR = 1.067, 95% CI 1.019–1.116, p = 0.005), morning systolic blood pressure (SBP: OR = 1.050, 95% CI 1.032–1.069, p = 0.000), morning diastolic BP (DBP OR = 1.055, 95% CI 1.028–1.083, p = 0.003), angiotensin II receptor blocker (ARB) utilization rate (OR = 0.219, 95% CI 0.131–0.365, p = 0.000), LDL-C (OR = 1.460, 95% CI 1.090–1.954, p = 0.011) and cardio-ankle vascular index (CAVI) (OR = 1.415, 95% CI 1.139–1.757, p = 0.028) were associated with LVH in postmenopausal hypertension patients. The nomogram model was then developed using these variables. The internal validation trial showed that the nomogram model described herein had good performance in discriminating a C-index of 0.881 (95% CI: 0.837–0.924) and high quality of calibration plots. External validation of LVH-predictive nomogram results showed that the area under the ROC curve was 0.903 (95%CI 0.900–0.907). Conclusions: Our results indicate that the risk prediction nomogram model based on menopausal age, BMI, morning SBP, morning DBP, ARB utilization rate, LDL-C and CAVI has good accuracy and may provide useful references for the medical staff in the intuitive and individualized risk assessment in clinical practice.

Estradiol as the Trigger of Sirtuin-1-Dependent Cell Signaling with a Potential Utility in Anti-Aging Therapies

“…Menopause is usually accompanied by a set of symptoms that can significantly affect the quality of life and increase the risk of diseases, including those that may be life-threatening [ 7 , 8 ]. Among the health consequences associated with menopause, the most serious is an increased risk of depression, associated with changes in the neurotransmission networks in the brain modulated by estradiol [ 9 , 10 , 11 ], as well as neurodegeneration [ 12 , 13 ], osteoarthritis [ 14 ], osteoporosis [ 15 , 16 ], heart remodeling [ 17 , 18 ], weakness of the skeletal muscles [ 19 ], and atherogenic metabolic disorders [ 20 , 21 ].…”