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. Author manuscript; available in PMC: 2020 Apr 1.
Published in final edited form as: Neurocrit Care. 2019 Apr;30(2):244–250. doi: 10.1007/s12028-019-00684-w

Table 2.

Parsimonious Models Predicting Fever

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.