کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
3917681 1599471 2016 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Prediction model of RSV-hospitalization in late preterm infants: An update and validation study
موضوعات مرتبط
علوم پزشکی و سلامت پزشکی و دندانپزشکی زنان، زایمان و بهداشت زنان
پیش نمایش صفحه اول مقاله
Prediction model of RSV-hospitalization in late preterm infants: An update and validation study
چکیده انگلیسی


• We present a prospectively updated model for making a risk assessment at birth of RSV-hospitalization within the first year of life.
• We show that in late preterm infants the RSV-hospitalization risk within the first year of life ranges from 0.4% up to 20%.
• The presented RISK nomogram can be used to target preventive RSV pharmaceuticals to the infants who will benefit the most.

BackgroundNew 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.MethodsTwo 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.Results181 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 ≤ 4 months (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.ConclusionWe developed and validated a clinical prediction model to be able to predict RSV-hospitalization in preterm infants born within 32–35 weeks gestational age. A simple nomogram was developed to target RSV therapeutics to those children who will benefit the most.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Early Human Development - Volume 95, April 2016, Pages 35–40
نویسندگان
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