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1 Harvard-Massachusetts
Institute of Technology Division of Health Sciences and Technology,
We applied
cardiovascular system identification (CSI) to characterize closed-loop
cardiovascular regulation in patients with diabetic autonomic
neuropathy (DAN). The CSI method quantitatively analyzes beat-to-beat
fluctuations in noninvasively measured heart rate, arterial blood
pressure (ABP), and instantaneous lung volume (ILV) to characterize
four physiological coupling mechanisms, two of which are autonomically
mediated (the heart rate baroreflex and the coupling of respiration,
measured in terms of ILV, to heart rate) and two of which are
mechanically mediated (the coupling of ventricular contraction to the
generation of the ABP wavelet and the coupling of respiration to ABP).
We studied 37 control and 60 diabetic subjects who were classified as
having minimal, moderate, or severe DAN on the basis of standard
autonomic tests. The autonomically mediated couplings progressively
decreased with increasing severity of DAN, whereas the mechanically
mediated couplings were essentially unchanged. CSI identified
differences between the minimal DAN and control groups, which were
indistinguishable based on the standard autonomic tests. CSI may
provide a powerful tool for assessing DAN.
cardiovascular modeling; diabetes mellitus; hemodynamics; mathematical modeling; nervous system
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