Table 3.
Logistic regression models of case status (WBS vs. control) given HRV and individual HRF parameters
| Parameter | Coefficient | P Value |
|---|---|---|
| PIP | 0.344 | 0.061 |
| PIPH | 0.319 | 0.030 |
| PIPS | −1.727 | 0.021 |
| W 0 | Not in final model | |
| W 1 | Not in final model | |
| W 2 | Not in final model | |
| W 3 | 0.350 | 0.014 |
Values are coefficients and P values from logistic regression models predicting cases status given heart rate variability (HRV) [heart rate (HR), percentage of successive NN intervals that differ by >50 ms (%) (pNN50), high-frequency (HF) power, short axis of Poincaré plot (ms) (SD1), sample entropy (SampEn), and standard deviation of NN intervals (SDNN)], age and sex, and individual heart rate fragmentation (HRF) parameters. After stepwise backward selection, W0, W1, and W2 were not included in the model. PIP, percentage of inflection points in NN time series; PIPH, percentages of hard inflection points in NN time series; PIPS, percentages of soft inflection points in NN time series; Wj, percentage of “words” with j inflection points; WBS, Williams–Beuren syndrome.