Research Article

Quantitative Complexity Theory Used in the Prediction of Head-Up Tilt Testing Outcome

Table 1

Intergroup comparison of baseline characteristics.

VariableSyncope_[yes] n = 54Syncope_[no] n = 27

Female/male51 (94%)/3 (6%)23 (85%)/4 (15%)0.162
Age (years)38.1 ± 4.637.1 ± 4.80.368
Office HR (bpm)58 ± 960 ± 90.541
Office SBP (mm Hg)117 ± 10119 ± 160.573
Office DBP (mm Hg)75 ± 774 ± 90.738
BMI (kg/m2)26 ± 326 ± 30.470
Creatinine (mg/dL)0.94 ± 0.90.91 ± 0.130.139
Hemoglobin (g/dL)14.5 ± 0.914.8 ± 1.10.279

Data presented as mean ± standard deviation (SD) and n (%), DBP: diastolic blood pressure HR: heart rate, SBP: systolic blood pressure, BMI: body mass index.