Table 2.
SDNN (Primary HRV Metric) | |||
---|---|---|---|
Variable | OR | CI 95% | P-value |
Occurrence of Fever | |||
HRV by SDNN, msec | 0.92 | 0.87–0.97 | 0.002 |
Admission GCS | 0.88 | 0.78–1.01 | 0.060 |
Initial Graeb Score | 1.15 | 1.01–1.31 | 0.032 |
Ventilator Free Days | 0.91 | 0.84–0.98 | 0.010 |
Pneumonia | 9.16 | 1.94–43.4 | 0.005 |
Lobar Hematoma | 1.81 | 0.95–3.45 | 0.070 |
History of Hypertension | 0.47 | 0.23–0.95 | 0.034 |
Variable |
IRR |
CI 95% |
P-value |
Number of Days Febrile | |||
HRV by SDNN, msec | 0.97 | 0.94–0.99 | 0.015 |
Initial Graeb Score | 1.11 | 1.06–1.16 | < 0.001 |
Ventilator Free Days | 0.91 | 0.88–0.94 | < 0.001 |
Pneumonia | 2.28 | 1.49–3.49 | < 0.001 |
History of Hypertension | 0.71 | 0.50–1.03 | 0.069 |
Initial Hematoma Volume | 1.01 | 1.00–1.02 | 0.007 |
RMSSD (Secondary HRV Metric) | |||
Variable |
OR |
CI 95% |
P-value |
Occurrence of Fever | |||
HRV by RMSSD, msec | 0.958 | 0.921–0.996 | 0.030 |
Initial Graeb Score | 1.17 | 1.04–1.32 | 0.010 |
Ventilator Free Days | 0.90 | 0.84–0.97 | 0.003 |
Pneumonia | 10.5 | 2.29–47.6 | 0.002 |
History of Hypertension | 0.44 | 0.22–0.88 | 0.020 |
Initial Hematoma Volume | 1.02 | 1.00–1.04 | 0.037 |
Variable |
IRR |
CI 95% |
P-value |
Number of Days Febrile | |||
HRV by RMSSD, msec | 0.978 | 0.957–0.999 | 0.040 |
Initial Graeb Score | 1.11 | 1.06–1.17 | < 0.001 |
Ventilator Free Days | 0.91 | 0.88–0.94 | < 0.001 |
Pneumonia | 2.22 | 1.45–3.39 | < 0.001 |
History of Hypertension | 0.73 | 0.51–1.05 | 0.087 |
Initial Hematoma Volume | 1.01 | 1.00–1.02 | 0.003 |
Variables assessed for parsimonious model inclusion included: age, heart rate variability (SDNN and RMSSD), admission Glasgow Coma Scale score, initial Graeb score, initial hematoma volume, days free of mechanical ventilation, diagnosis of pneumonia during hospitalization, lobar hematoma location, history of hypertension, and beta blocker exposure.
CI = confidence interval, GCS = Glasgow Coma Scale, HRV = heart rate variability, IRR = incidence rate ratio, OR = odds ratio, RMSSD = root mean square of successive R-R interval differences, SDNN = standard deviation of the R-R interval.