Key result
A simple risk score based on age, body mass index, hypertension, and resting heart rate effectively identified individuals with previously undiagnosed cardiovascular autonomic neuropathy, achieving an area under the curve of 0.756 in the entire sample.
Why the study?
Does a simple clinical risk score accurately predict the presence of undiagnosed cardiovascular autonomic neuropathy in a Chinese population?
Cross-Sectional (n=2,092)
Does a simple clinical risk score accurately predict the presence of undiagnosed cardiovascular autonomic neuropathy in a Chinese population?
Effect estimate: AUC 0.756 (95% CI 0.729-0.782)
A simple, noninvasive risk score using age, BMI, hypertension, and resting heart rate can reliably screen for undiagnosed cardiovascular autonomic neuropathy in the Chinese population.
May aid CAN screening in Chinese adults; leaves open prospective validation before clinical adoption.
BACKGROUND: The purpose of the present study was to develop and evaluate a risk score to predict people at high risk of cardiovascular autonomic dysfunction neuropathy (CAN) in Chinese population. METHODS AND MATERIALS: A population-based sample of 2,092 individuals aged 30-80 years, without previously diagnosed CAN, was surveyed between 2011 and 2012. All participants underwent short-term HRV test. The risk score was derived from an exploratory set. The risk score was developed by stepwise backward multiple logistic regression. The coefficients from this model were transformed into components of a CAN score. This score was tested in a validation and entire sample. RESULTS: The final risk score included age, body mass index, hypertension, resting hear rate, items independently and significantly (P<0.05) associated with the presence of previously undiagnosed CAN. The area under the receiver operating curve was 0.726 (95% CI 0.686-0.766) for exploratory set, 0.784 (95% CI 0.749-0.818) for validation set, and 0.756 (95% CI 0.729-0.782) for entire sample. In validation set, at optimal cutoff score of 5 of 10, the risk score system has the sensitivity, specificity, and percentage that needed subsequent testing were 69, 78, and 30%, respectively. CONCLUSION: We developed a CAN risk score system based on a set of variables not requiring laboratory tests. The score system is simple fast, inexpensive, noninvasive, and reliable tool that can be applied to early intervention to delay or prevent the disease in China.
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Ge et al. (2014) conducted a cross-sectional in Cardiovascular Autonomic Neuropathy (CAN) (n=2,092). CAN risk score (age, BMI, hypertension, resting heart rate) was evaluated on Area under the receiver operating curve (AUC) for predicting previously undiagnosed CAN in the entire sample (AUC 0.756, 95% CI 0.729-0.782). A simple risk score based on age, body mass index, hypertension, and resting heart rate effectively identified individuals with previously undiagnosed cardiovascular autonomic neuropathy, achieving an area under the curve of 0.756 in the entire sample.
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