Bayesian Estimation of Diagnostic Performance of Short-term Heart Rate Variability for Diabetic Cardiovascular Autonomic Neuropathy in the Absence of a Gold Standard
Bayesian Estimation of Diagnostic Performance of Short-term Heart Rate Variability for Diabetic Cardiovascular Autonomic Neuropathy in the Absence of a Gold Standard
This study aimed to estimate sensitivities and specificities of diabetic cardiovascular autonomic neuropathy (DCAN) diagnostic tests using the Bayesian approach without a gold standard in another independence dataset.The reference the values for the short-term HRV were calculated in the investigators' previous study (including 371 healthy subjects). This study dataset contained 200 diabetic patients who completed both the short-term HRV test and Ewing's test. Simultaneous inferences about the population prevalence and the performance of each diagnostic test were possible using the Bayesian approach without a gold standard.
The CAN prevalence is rapidly growing in all populations worldwide. No document has been reported diagnostic performance of short-term heart rate variability (HRV) for diabetic cardiovascular autonomic neuropathy (DCAN) in the Chinese population. This study aimed to estimate sensitivities and specificities of DCAN diagnostic tests using the Bayesian approach, in the absence of a gold standard in another independence dataset.The reference the values for the short-term HRV were calculated in the investigators' previous study (including 371 healthy subjects). This study dataset contained 200 subjects who completed both the short-term HRV test and Ewing's test. Simultaneous inferences about the population prevalence and the performance of each diagnostic test were possible using the Bayesian approach without a gold standard.
Inclusion Criteria:
Exclusion Criteria:
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: