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Measuring and scoring cardiac autonomic neuropathy : a first comparison in diabetes

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Title: Measuring and scoring cardiac autonomic neuropathy : a first comparison in diabetes


1
Measuring and scoring cardiac autonomic
neuropathy a first comparison in diabetes
  • M. Fevre-Genoulaz
  • M.J. Lafitte
  • S.S. Srikanta

2
Aim of the study
  • Compare the classification of cardiac
    autonomic neuropathy (CAN) given by standard
    autonomic scoring and by a new device the
    ANSiscopeTM (Dyansys) in healthy volunteers and
    in diabetic patients

3
Study population
  • 21 type 2 diabetic patients (mean age50/-9
    yrs). 4 of them had complications due to diabetes
    retinopathy, and hypertension
  • 9 non-diabetic volunteers (mean age 38 /-9 yrs)

4
Exclusion criteria
  • Causes of autonomic neuropathy other than
    diabetes
  • History of psychoactive drug or alcohol abuse
  • Cardiac arrythmia

5
Methods
  • Each patient underwent 2 sets of tests
  • Autonomic tests
  • ANSiscopeTM autonomic dysfunction test

6
Autonomic tests
  • RSA respiratory sinus arrythmia
  • Ratio RR inspiration/RR expiration
  • Valsalva manoeuver
  • Ratio longest RR/shortest RR
  • Systolic blood pressure response to standing
  • Difference between SBP before and 2 min after
    standing.
  • 3015 ratio
  • Ratio 30th RR int./15th RR int.

7
Autonomic tests scoring
  • Scoring is made following description of
    Bellavere et al. For each test results are
    classified as being
  • Normal 0
  • Borderline 1
  • Abnormal 2
  • The points are added and final score is
    interpreted as
  • 0 and 1 healthy
  • Between 2 and 4 early CAN
  • 5 and upper advanced CAN

8
Assessment of autonomic scoring
  • minimum 30 minutes of testing
  • 45 minutes of signal analysis
  • Complete patient participation
  • Trained medical team

9
Measurement with the ANSiscopeTM
  • This device extracts from the RR intervals
    (recorded with 3 leads ECG) the activity of the
    sympathetic and parasympathetic systems on a beat
    by beat basis.
  • Measurement of dysautonomia is expressed as a
    lack of coupling between both activites. Result
    is expressed as a percentage and a group
    classification.

10
Measurement conditions with the ANSiscopeTM
  • A recording of 572 RR intervals is needed (around
    5-7 minutes)
  • Patient must be at rest in supine condition
    without external stimulation (which may activate
    sympathetic system).

11
Classification group
  • The nature of the groups aggregation of values
  • Values demarcating groups
  • -11.5 to 11.5 healthy group
  • 13.5 to 20 early group
  • 23 to 50.99 late group
  • 51 to 100 advanced group

healthy
early
late
advanced
12
Results
Autonomic scoring 10 E 20 H
ANSiscope 5A (63.4/-9) 3L (46.1/- 7.2) 2E (18.2/-0.2) 5A (66 /-11.8) 3L (36.9/-5) 5E (16.9/-1.9) 7H (6.4/-7.9)
  • Number of patients / groups (H healthy, E
    Early, L late, A Advanced), (mean average of
    dysautonomia percentage /- Std)
  • Autonomic scoring detected 2 groups of patients
    healthy and early CAN
  • ANSiscopeTM detected 4 stages of CAN in the
    same set of patients from healthy to most
    advanced CAN.
  • If we consider in the ANSiscopeTM classification
    2 groups of patients (healthy early) and
    (late advanced), we obtain

13
Results
Aut. scoring Aut. scoring ANSiscopeTM ANSiscopeTM
H E HE LA
9 non diabetics 80 20 100
17 diabetics 76 24 30 70
4 diabetics with complications 100 100
  • Non diabetic and diabetic populations have the
    same proportion of H and E with autonomic scoring
  • All patients classified with L and A CAN with the
    ANSiscope have a mean diabetes duration of 7 yrs
    which predisposes them to CAN.
  • All diabetics patients with complications are in
    L A group.
  • Some patients without clinical symptoms are in
    LA group, these patients may be considered as
    being at risk to develop complications due to
    diabetes.

14
Conclusion
  • These first results suggest that the ANSiscopeTM
    allows to detect precociously CAN and classify
    patients accurately compared to autonomic
    scoring.
  • Method is simple, quick and does not require
    particular training, it thus represents a good
    tool to measure autonomic neuropathy in clinical
    practice.
  • Further studies need to be performed on larger
    population.
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