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The objective of the paper is to assess the cost-effectiveness of targeted respiratory syncytial virus (RSV) prophylaxis based on a validated prediction rule with 1-year time horizon in moderately preterm infants compared to no prophylaxis. Data on health care consumption were derived from a randomised clinical trial on wheeze reduction following RSV prophylaxis and a large birth cohort study on risk prediction of RSV hospitalisation. We calculated the incremental cost-effectiveness ratio (ICER) of targeted RSV prophylaxis vs. no prophylaxis per quality-adjusted life year (QALYs) using a societal perspective, including medical and parental costs and effects. Costs and health outcomes were modelled in a decision tree analysis with sensitivity analyses. Targeted RSV prophylaxis in infants with a first-year RSV hospitalisation risk of > 10% resulted in a QALY gain of 0.02 (0.931 vs. 0.929) per patient against additional cost of €472 compared to no prophylaxis (ICER €214,748/QALY). The ICER falls below a threshold of €80,000 per QALY when RSV prophylaxis cost would be lowered from €928 (baseline) to €406 per unit. At a unit cost of €97, RSV prophylaxis would be cost saving. Conclusions: Targeted RSV prophylaxis is not cost-effective in reducing RSV burden of disease in moderately preterm infants, but it can become cost-effective if lower priced biosimilar palivizumab or a vaccine would be available.

BACKGROUND: Recurrent wheezing in young infants has a high prevalence, influences quality of life, and generates substantial health care costs. We previously showed that respiratory syncytial virus infection is an important mechanism of recurrent wheezing in moderate preterm infants. We aimed to provide population-attributable risks (PAR) of risk factors for recurrent wheezing during the first year of life in otherwise healthy moderate preterm infants. METHODS: RISK is a multicentre prospective birth cohort study of 4424 moderate preterm infants born at 32-35 weeks gestation. We estimated PAR of risk factors for recurrent wheezing, which was defined as three or more parent-reported wheezing episodes during the first year of life. RESULTS: We evaluated 3952 (89%) children at 1 year of age, of whom 705 infants (18%) developed recurrent wheezing. Fourteen variables were independently associated with recurrent wheezing. Hospitalisation for respiratory syncytial virus bronchiolitis had a strong relationship with recurrent wheezing (RR 2.6; 95% confidence interval, CI, 2.2, 3.1), but a relative modest PAR (8%; 95% CI 6, 11%) which can be explained by a low prevalence (13%). Day-care attendance showed a strong relationship with recurrent wheezing (RR 1.9; 95% CI 1.7, 2.2) and the highest PAR (32%; 95% CI 23, 37%) due to a high prevalence (67%). The combined adjusted PAR for the 14 risk factors associated with recurrent wheezing was 49% (95% CI 46, 52%). CONCLUSIONS: In moderate preterm infants, day-care attendance has the largest PAR for recurrent wheezing. Trial evidence is needed to determine the potential benefit of delayed day-care attendance in this population.

BACKGROUND: New vaccines and RSV therapeutics have been developed in the past decade. With approval of these new pharmaceuticals on the horizon, new challenges lie ahead in selecting the appropriate target population. We aimed to improve a previously published prediction model for prediction of RSV-hospitalization within the first year of life. METHODS: Two consecutive prospective multicenter birth cohort studies were performed from June 2008 until February 2015. The first cohort (RISK-I, n=2524, 2008-2011) was used to update the existing model. The updated model was subsequently validated in the RISK-II cohort (n=1564, 2011-2015). We used the TRIPOD criteria for transparent reporting. RESULTS: 181 infants (n=127 in RISK-I, n=54 in RISK-II) were hospitalized for RSV within their first year of life. The updated model included the following predictors; day care attendance and/or siblings (OR: 5.3; 95% CI 2.8-10.1), birth between Aug. 14th and Dec. 1st (OR: 2.4; 1.8-3.2), neonatal respiratory support (OR 2.2; 1.6-3.0), breastfeeding ≤4months (OR 1.6; 1.2-2.2) and maternal atopic constitution (OR 1.5; 1.1-2.1). The updated models' discrimination was superior to the original model in the RISK-II cohort (AUROC 0.72 95% CI 0.65-0.78 versus AUROC 0.66, 95% CI 0.60-0.73, respectively). The updated model was translated into a simple nomogram to be able to distinguish infants with high versus low risk of RSV-hospitalization. CONCLUSION: We developed and validated a clinical prediction model to be able to predict RSV-hospitalization in preterm infants born within 32-35weeks gestational age. A simple nomogram was developed to target RSV therapeutics to those children who will benefit the most.

Background The objective was to develop a risk scoring tool which predicts respiratory syncytial virus hospitalisation (RSVH) in moderate‐late preterm infants (32‐35 weeks’ gestational age) in the Northern Hemisphere. Methods Risk factors for RSVH were pooled from six observational studies of infants born 32 weeks and 0 days to 35 weeks and 6 days without comorbidity from 2000 to 2014. Of 13 475 infants, 484 had RSVH in the first year of life. Logistic regression was used to identify the most predictive risk factors, based on area under the receiver operating characteristic curve (AUROC). The model was validated internally by 100‐fold bootstrapping and externally with data from a seventh observational study. The model coefficients were converted into rounded multipliers, stratified into risk groups, and number needed to treat (NNT) calculated. Results The risk factors identified in the model included (i) proximity of birth to the RSV season; (ii) second‐hand smoke exposure; and (iii) siblings and/or daycare. The AUROC was 0.773 (sensitivity: 68.9%; specificity: 73.0%). The mean AUROC from internal bootstrapping was 0.773. For external validation with data from Ireland, the AUROC was 0.707 using Irish coefficients and 0.681 using source model coefficients. Cut‐off scores for RSVH were ≤19 for low‐ (1.0%), 20‐45 for moderate‐ (3.3%), and 50‐56 (9.5%) for high‐risk infants. The high‐risk group captured 62.0% of RSVHs within 23.6% of the total population (NNT 15.3). Conclusions This risk scoring tool has good predictive accuracy and can improve targeting for RSVH prevention in moderate‐late preterm infants.