Houben et al developed a clinical prediction rule for identifying a healthy newborn who is at risk for respiratory syncytial virus (RSV) bronchiolitis. The authors are from Wilhelmina Children's Hospital, University Medical Center Utrecht and National Institute of Publich Health and the Environment in the Netherlands.
Parameters:
(1) birthweight in kilograms
(2) month of birth
(3) exposures (older siblings or day care)
(4) parental education
Parameter |
Finding |
Points |
birthweight |
<= 4 kg |
0 |
|
> 4 kg |
1 |
month of birth |
January to March or October to December |
0 |
|
April to September |
1 |
exposures |
no |
0 |
|
yes |
2 |
parental education |
low to moderate |
0 |
|
high |
1 |
where:
• The month of birth may be an interplay between duration of passive protection from maternal antibody and prevalence in the community.
total score =
= SUM(points for all 4 parameters)
Interpretation:
• minimum score: 0
• maximum score: 5
• The higher the score the higher the risk for RSV bronchiolitis.
Total Score |
Risk RSV Bronchiolitis |
0 to 2 |
3% |
3 |
7% |
4 |
22% |
5 |
32% |
Performance:
• The area under the ROC curve is 0.72
• A cutoff >= 3 had a negative predictive value of 97%.
Specialty: Infectious Diseases, Pedatrics
ICD-10: ,