Table 3. MV logistic regression model... | American Society of Hematology

Table 3.

MV logistic regression model results for predicting LR admission and infection identification

Parameter	Odds ratio	95% CI	P value
Baseline variables, AUC = 0.70 for LR admission
Initial heart rate	1.19	0.99-1.42	.060
Initial RR	0.96	0.93-0.99	.017
AMC (×10)	0.61	0.35-1.08	.093
24-h variables, AUC = 0.82 for LR admission
Highest fever	2.65	1.44-4.88	.0018
Largest heart rate (per 10 BPM)	1.53	1.17-2.00	.0018
Highest respiratory rate	0.01	0-4.79	.150
Age (y)	0.97	0.93-1.00	.050
Baseline variables, AUC = 0.63 for infection identification
Initial heart rate (per 10 BPM)	1.11	0.97-1.26	.14
ALC	0.10	0.02-0.60	.012
Initial respiratory rate	1.16	1.03-1.30	.015
24-h variables, AUC = 0.72 for infection identification
Highest respiratory rate	1.12	1.03-1.21	.0055
Largest heart rate (per 10 BPM)	1.06	0.91-1.22	.480
Highest fever	1.66	1.09-2.54	.018
ALC	0.10	0.02-0.70	.02

Parameter	Odds ratio	95% CI	P value
Baseline variables, AUC = 0.70 for LR admission
Initial heart rate	1.19	0.99-1.42	.060
Initial RR	0.96	0.93-0.99	.017
AMC (×10)	0.61	0.35-1.08	.093
24-h variables, AUC = 0.82 for LR admission
Highest fever	2.65	1.44-4.88	.0018
Largest heart rate (per 10 BPM)	1.53	1.17-2.00	.0018
Highest respiratory rate	0.01	0-4.79	.150
Age (y)	0.97	0.93-1.00	.050
Baseline variables, AUC = 0.63 for infection identification
Initial heart rate (per 10 BPM)	1.11	0.97-1.26	.14
ALC	0.10	0.02-0.60	.012
Initial respiratory rate	1.16	1.03-1.30	.015
24-h variables, AUC = 0.72 for infection identification
Highest respiratory rate	1.12	1.03-1.21	.0055
Largest heart rate (per 10 BPM)	1.06	0.91-1.22	.480
Highest fever	1.66	1.09-2.54	.018
ALC	0.10	0.02-0.70	.02