Artificial neural network models for prediction of cardiovascular autonomic dysfunction in general Chinese population

Abstract

BackgroundThe present study aimed to develop an artificial neural network (ANN) based prediction model for cardiovascular autonomic (CA) dysfunction in the general population.MethodsWe analyzed a previous dataset based on a population sample consisted of 2,092 individuals aged 30–80 years. The prediction models were derived from an exploratory set using ANN analysis. Performances of these prediction models were evaluated in the validation set.ResultsUnivariate analysis indicated that 14 risk factors showed statistically significant association with CA dysfunction (P < 0.05). The mean area under the receiver-operating curve was 0.762 (95% CI 0.732–0.793) for prediction model developed using ANN analysis. The mean sensitivity, specificity, positive and negative predictive values were similar in the prediction models was 0.751, 0.665, 0.330 and 0.924, respectively. All HL statistics were less than 15.0.ConclusionANN is an effective tool for developing prediction models with high value for predicting CA dysfunction among the general population.

Analysis of the association between glucose profiles and β‐cell function for diabetic cardiovascular autonomic neuropathy in China

“…Poor glycemic control has been detected in CAN patients who have a high risk of cardiovascular disease and high rates of mortality. Our earlier study showed that diabetes mellitus and insulin resistance are associated with CAN in a general Chinese population. In diabetic patients, our previous study investigated the associations of blood pressure profiles and their severity with diabetic cardiovascular autonomic neuropathy (DCAN) in a Chinese sample.…”

A study for association and interaction analysis to metabolic syndrome and the ESR1 gene on cardiovascular autonomic neuropathy in a Chinese Han population

“…Univariate logistic regression models were described earlier [ 12 ]. The models were developed to include age, gender, BMI, glucose profiles, lipids profiles, renal functions, medical history and rs9340799 SNP.…”

“…A risk factors survey for CAN was detailed earlier [ 12 , 13 ], which was carried out in a random sample of the Chinese Han population. This study was approved by the Ethics Committee of Shanghai Tongji Hospital, Shanghai, China.…”

“…Written consent was obtained from all patients before the study. As we described earlier [ 12 , 13 ], some subjects were excluded from the study to eliminate potential confounding factors that may have influenced their CA function. Briefly, the exclusion criteria were as follows: (1) history or findings of arrhythmia and hyperthyroidism or hypothyroidism; (2) pregnancy or lactation; (3) serious hepatic or renal dysfunctions (GFR < 30 mL/min/1.73 m 2 ).…”

“…Laboratory assessment for cardiovascular disease risk factors was completed, along with standardized examination for heart rate variability (HRV). As we mentioned earlier [ 12 , 13 ], all study subjects underwent a complete clinical baseline characteristics evaluation after an 8-hour fast, which included: (1) history and physical examination; (2) heart rate and blood pressure; (3) fasting serum glucose and insulin; and (4) fasting plasma lipids. Systolic and diastolic blood pressure (BP) values were recorded as the mean of two physician-obtained measurements taken from the left arm of the seated participant.…”