. Author manuscript; available in PMC: 2018 May 1.

Published in final edited form as: J Clin Virol. 2017 Mar 16;90:32–37. doi: 10.1016/j.jcv.2017.03.003

Table 3.

Modeling Results for ARI IP-10¹ Predicting ARI Outcomes after Adjusting for Covariates²

ARI Outcome	Modeling Results				Predicted Effect on ARI Outcome at Various ARI IP-10 (pg/ml) Values (after adjusting for age, gender, and bmi)
ARI Outcome	Beta		SE	95% CI	P-value	100	377	500	1000
ARI Global Severity¹ (WURSS AUC)	0.50	0.11		0.28–0.72	<0.0001	50	190	252	503
ARI Duration¹ (days)	0.13		0.07	−0.02–0.26	0.08	13	48	63	127
ARI Daily Severity³	34.5		6.4	22.0–46.9	<0.0001	69	89	93	103
Nasal Symptoms³	4.76		1.12	2.59–6.94	<0.0001	9.5	12.3	12.9	14.3
Throat Symptoms³	5.21		1.05	3.17–7.25	<0.0001	10.4	13.4	14.1	15.6
QoL Symptoms³	4.98		.15	2.75–7.22	<0.0001	10.0	12.8	13.5	15.0

As modeled using log-based 10 transformation.

All models include the following covariates: age, gender, and BMI at baseline.

Observed on the day of the IP-10 blood draw.