Cardiovascular variables do not predict head-up tilt test outcome better than body composition.
Reflex syncope is a well-recognized phenomenon, but the understanding of its underlying pathophysiology remains limited. We hypothesized that patients with a history of syncope and a positive head-up tilt test (HUTT) outcome are in a "not-yet defined" abnormal state even before the head-up position. We performed a 45 min HUTT on 86 patients with a history of syncope. We assessed 19 variables during the supine period before head-up position. Of these variables, 9 were cardiovascular variables (CV) while 8 were body composition variables (BC). The two remaining variables were age and sex. Forty-five patients (41 +/- 15 years, 22 males) have a positive HUTT outcome and 41 a negative one (46 +/- 15 years, 22 males). Statistical tests applied on each of the 19 variables individually did not discriminate patients with a positive and a negative outcome. We used neural networks to screen the sets of variables that allowed for the best predictions of HUTT outcomes. The sensitivity, specificity, positive and negative predictive values (PPV and NPV, respectively) were determined. The best set of predictive values determined from the 19 variables was 76, 81, 78 and 80% for sensitivity, sensibility, PPV, and NPV, respectively. Unexpectedly, the HUTT outcome prediction performed with cardiovascular variables was not better than the prediction performed with body composition variables only. Patients with a positive HUTT outcome are in an abnormal state that can be detected even before the head-up position. Body composition is an important contributor to this abnormal state.
Fortrat
Jacques-Olivier
JO
Explorations Fonctionnelles Vasculaires, Centre Hospitalier Universitaire, 49933, Angers Cedex 09, France. jofortrat@chu-angers.fr
Schang
Daniel
D
Bellard
Elisabeth
E
Victor
Jacques
J
Lefthériotis
Georges
G
D000328:Adult; D001823:Body Composition; D002319:Cardiovascular System / Q000503:physiopathology*; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D016571:Neural Networks, Computer; D011237:Predictive Value of Tests; D012680:Sensitivity and Specificity; D019462:Syncope, Vasovagal / Q000175:diagnosis* / Q000503:physiopathology*; D018667:Tilt-Table Test