Analysis of the association between glucose profiles and β‐cell function for diabetic cardiovascular autonomic neuropathy in <scp>C</scp>hina

Fang, Ping; Dong, Jingcheng; Zeng, Fangfang; Tang, Zihui

doi:10.1111/jdi.12584

Cited by 5 publications

(12 citation statements)

References 26 publications

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“…As was discussed in earlier studies [ 25 – 27 ], ULR analysis showed associated factors for DCAN, including age, BMI, FPG, PBG, FINS, TG, resting HR, DM duration, HTN duration, and MetS (P<0.05 for all). The simple association factors of age, BMI, DM duration, and HR were included in the final MLR model (P<0.05 for all; Table 2 ).…”

Section: Resultssupporting

confidence: 65%

“…As we discussed in an earlier study [ 25 , 26 , 29 ], short-term HRV tests can be used for the evaluation of cardiovascular autonomic function, and we used short-term HRV tests in this study. The protocol for the short-term HRV test was detailed earlier [ 25 – 27 ]. The definition of DCAN was based on at least 2 abnormal results from cardiovascular autonomic function testing [ 4 , 25 – 28 ].…”

Section: Methodsmentioning

confidence: 99%

“…Recently, we conducted a risk association analysis of metabolic indices involved in blood pressure profiles, lipid profiles, and blood glucose profiles for DCAN, and our results suggest that these profiles are significantly and independently associated with DCAN [ 25 – 27 ]. Moreover, the combination of these risk factors has predictive value for DCAN.…”

Section: Introductionmentioning

confidence: 99%

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Analysis of a Screening System for Diabetic Cardiovascular Autonomic Neuropathy in China

Xue

Tang

et al. 2017

Med Sci Monit

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BackgroundThe aim of this study was to create a screening system for diabetic cardiovascular autonomic neuropathy (DCAN) in diabetic patients.Material/MethodsA Chinese cohort of 455 diabetic participants was recruited between 2011 and 2013. Short-term heart rate variability testing was used to evaluate cardiovascular autonomic function. A simple model was developed using multiple variable regression to include only significant risk factors that were simple and easily assessed. A DCAN score was determined based on the coefficients of the multiple variable model. This score was tested on the entire cohort of 455 diabetic patients and another independent, external cohort of 115 diabetic patients.ResultsThe screening system consisted of age, body mass index, duration of diabetes mellitus, and resting heart rate, and these factors were significantly (P<0.05) associated with DCAN. Receiver operating characteristic (ROC) curve analysis was done. The areas under the ROC curve were 0.798, 0.756, and 0.729 for the total sample, validation cohort, and external set, respectively. A cutoff DCAN score of 12 out of 25 produced optimal results for sensitivity (80.36%), specificity (58.27%), and percentage of patients that needed subsequent testing (43.55%) for the validation set.ConclusionsThe study concludes that a simple and practical DCAN screening can be applied for early intervention to delay or prevent the disease in the Chinese population.

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Section: Resultssupporting

confidence: 65%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Analysis of a Screening System for Diabetic Cardiovascular Autonomic Neuropathy in China

Xue

Tang

et al. 2017

Med Sci Monit

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“…We previously developed clinical risk models for predicting CAN in a general Chinese population. 10 Our findings indicated that glucose profiles, lipid profiles, and blood pressure (BP) profiles were significantly associated with DCAN, [11][12][13] suggesting that these factors may predict the development of DCAN in diabetes patients. Additionally, a screen model with high sensitivity and specificity for DCAN had been developed.…”

Section: Introductionmentioning

confidence: 77%

“…As is mentioned in our previous studies, [11][12][13][14] a DCAN risk factor analysis in a Chinese random sample was carried out using established methods. Diabetic participants aged 30-80 years with undiagnosed CAN were recruited from rural and urban communities in Shanghai.…”

Section: Study Populationmentioning

confidence: 99%

Development of clinical risk models for diabetic cardiovascular autonomic neuropathy in a Chinese population using logistic regression analysis

Lin

Fang

et al. 2018

Tradit. Med. Mod. Med.

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Background: We developed clinical risk models for predicting diabetic cardiovascular autonomic neuropathy (DCAN) in Chinese diabetic patients. Methods: A Chinese cohort of 455 diabetic participants underwent a short heart rate variability (HRV) test which was recruited between 2011 and 2013. Clinical risk models were developed that included independent and significant risk factors by using multiple variable stepwise regressions. These clinical risk models were tested in another independent cohort of Chinese individuals. Results: The clinical risk models included age, fasting plasma glucose, 2-h plasma blood glucose, triglycerides, resting HRs, and duration of diabetes mellitus. The area under the receiver-operating characteristic (ROC) curve of the study group was 0.794. In the model with the continuous variables, the area under the ROC curve was 0.810. A cutoff score of 12.54 which produced the optimal sensitivity (68.20%) and specificity (76.80%) and identified the percentage (35.77%) of the population that required subsequent testing. Conclusions: The clinical risk models showed high sensitivity and specificity for the prediction of DCAN in Chinese diabetic patients.

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The Relationship Between β-cell Function Indices and Sudomotor Function in Chinese Patients with Type 2 Diabetes

Cao

Yao

et al. 2019

Exp Clin Endocrinol Diabetes.

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Purpose SUDOSCAN, a new non-invasive, quick, sensitive and quantitative technique, has been developed to detect diabetic peripheral neuropathy, and the latter is believed to be correlated with impaired β-cell function. The purpose of the present study was to investigate the associations between β-cell function indices and sudomotor function in Chinese type 2 diabetes. Methods A total of 266 Chinese patients with type 2 diabetes were enrolled. Sudomotor function was assessed using electrochemical skin conductance of hands and feet. Pancreatic β-cell function was determined by homeostasis model assessment of β-cell function index, early-phase β-cell function indices and total β-cell function indices. Pearson correlation analysis and multiple linear stepwise regression analysis were carried out to explore the associations between β-cell function indices and sudomotor function. Results Patients with lower early-phase β-cell function had lower electrochemical skin conductance levels of hands and feet and higher asymmetry ratio of hands and feet. Both Pearson correlation analysis and multiple linear stepwise regression analysis showed significantly positive relationships between early-phase β-cell function and electrochemical skin conductance levels of hands and feet, after controlling for potential confounders (P<0.05). Conclusions Impaired early-phase β-cell function was positively associated with sudomotor dysfunction in Chinese patients with type 2 diabetes. We speculated that impaired early-phase β-cell function may be associated with the incidence of sudomotor dysfunction in patients with T2DM.

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

Cited by 5 publications

References 26 publications

Analysis of a Screening System for Diabetic Cardiovascular Autonomic Neuropathy in China

Analysis of a Screening System for Diabetic Cardiovascular Autonomic Neuropathy in China

Development of clinical risk models for diabetic cardiovascular autonomic neuropathy in a Chinese population using logistic regression analysis

The Relationship Between β-cell Function Indices and Sudomotor Function in Chinese Patients with Type 2 Diabetes

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