Skip to main content

Table 6 SCIG infusion parameters

From: Subcutaneous immunoglobulin in primary immunodeficiency – impact of training and infusion characteristics on patient-reported outcomes

Predictor Category Logistic regression Linear regression
OR 95% CI p-value Ratio 95% CI p-value
Infusion time (actual) Probability of ≤2 h infusion time (vs ref group [> 2 h])
Age (years) 0–17 1.93 0.97, 3.84 0.06 0.78 0.63, 0.96 0.02
≥18 (ref group) 1   1  
Training location Home (ref group) 1   0.006    
Hospital 1.03 0.30, 3.57
Doctor’s office 3.05 1.63, 5.70
Other 0.95 0.39, 3.30
Who conducted training Clinical staff (ref group)     1   < 0.001
Specialty pharmacy 1.54 1.26, 1.90
Nurse 1.49 1.11, 2.00
Ease of traininga 1–5 (ref group)     1   0.03
6–7 0.84 0.73, 0.98
Product concentration 10% (ref group) 1   0.05    
20% 1.6 1.00, 2.56
Infusion time (preparation) Probability of ≤20 mins preparation time (vs ref group [> 20 mins])
Ease of traininga 1–5 (ref group) 1   0.001 1   0.008
6–7 2.41 1.41, 4.14 0.7 0.54, 0.91
Barriers to training Yes (ref group) 1   0.003 1   0.001
No 2.63 1.40, 4.93 0.62 0.46, 0.85
SCIG transition decision driver Prescriber     1   0.05
Patient 1.34 1.05, 1.71
Other 1.25 0.83, 1.88
Total SCIG training time Probability of ≤4 h training time (vs ref group [> 4 h])
Age (years) 0–17 2.23 1.05, 4.72 0.4    
≥18 (ref group) 1  
Training location Hospital (ref group)     1   0.001
Doctor’s office 1.43 0.90, 2.26
Home 1.92 1.26, 2.95
Other 1.58 0.94, 2.65
Knowledge of trainera 1–5 (ref group) 1   0.006 1   0.002
6–7 2.02 1.22, 3.35 1.3 1.10, 1.54
Ease of traininga 1–5 (ref group) 1   < 0.001 1   < 0.001
6–7 2.44 1.50, 3.98 0.65 0.55, 0.77
  1. Multivariate logistic regression and linear regression models of predictors for more efficient infusions and training
  2. CI confidence interval, OR odds ratio, SCIG subcutaneous immunoglobulin
  3. aPredictor on an anchored numeric scale from 1 to 7 (1 = very difficult or not very knowledgeable and 7 = very easy or very knowledgeable). ORs expressed as the probability relative to the probability in a reference group (ref group). For the least squares regression, the analysis was performed using multiple linear regression with all outcomes analyzed on the log scale. Due to this log transformation, the size of the relationship between each factor and the outcome is given in the form of ratios to give the relative difference in time in for each predictor relative to the reference group
Back to article page

BMC Immunology

ISSN: 1471-2172

Contact us