podcast.de
Anmeldung
Anmeldung Registrierung
Auto Hell Dunkel
Erweiterte Suche
  1. Startseite
  2. Podcasts
  3. Medizin - Open Access LMU - Teil 15/22 Podcast
  4. A predictive model for respiratory syncytial virus (RSV) hospitalisation of premature infants born at 33-35 weeks of gestational age, based on data from the Spanish FLIP study
Background: The aim of this study, conducted in Europe, was to
develop a validated risk factor based model to predict RSV-related
hospitalisation in premature infants born 33-35 weeks' gestational
age (GA). Methods: The predictive model was developed using risk
factors captured in the Spanish FLIP dataset, a case-control study
of 183 premature infants born between 33-35 weeks' GA who were
hospitalised with RSV, and 371 age-matched controls. The model was
validated internally by 100-fold bootstrapping. Discriminant
function analysis was used to analyse combinations of risk factors
to predict RSV hospitalisation. Successive models were chosen that
had the highest probability for discriminating between hospitalised
and non-hospitalised infants. Receiver operating characteristic
(ROC) curves were plotted. Results: An initial 15 variable model
was produced with a discriminant function of 72% and an area under
the ROC curve of 0.795. A step-wise reduction exercise, alongside
recalculations of some variables, produced a final model consisting
of 7 variables: birth +/- 10 weeks of start of season, birth
weight, breast feeding for = 2 years,
family members with atopy, family members with wheeze, and gender.
The discrimination of this model was 71% and the area under the ROC
curve was 0.791. At the 0.75 sensitivity intercept, the false
positive fraction was 0.33. The 100-fold bootstrapping resulted in
a mean discriminant function of 72% (standard deviation: 2.18) and
a median area under the ROC curve of 0.785 (range: 0.768-0.790),
indicating a good internal validation. The calculated NNT for
intervention to treat all at risk patients with a 75% level of
protection was 11.7 (95% confidence interval: 9.5-13.6).
Conclusion: A robust model based on seven risk factors was
developed, which is able to predict which premature infants born
between 33-35 weeks' GA are at highest risk of hospitalisation from
RSV. The model could be used to optimise prophylaxis with
palivizumab across Europe.

Weitere Episoden

Report of the Working Group `Overall Blood Supply Strategy with Regard to Variant Creutzfeldt-Jakob Disease (vCJD)'

Report of the Working Group `Overall Blood Supply Strategy with Regard to Variant Creutzfeldt-Jakob Disease (vCJD)'

vor 17 Jahren
Intranasal insulin to improve developmental delay in children with 22q13 deletion syndrome: an exploratory clinical trial

Intranasal insulin to improve developmental delay in children with 22q13 deletion syndrome: an exploratory clinical trial

vor 17 Jahren
Guidelines for initiation of anti-tumour necrosis factor therapy in rheumatoid arthritis: similarities and differences across Europe.

Guidelines for initiation of anti-tumour necrosis factor therapy in rheumatoid arthritis: similarities and differences across Europe.

vor 17 Jahren
JNK inhibition sensitises hepatocellular carcinoma cells but not normal hepatocytes to the TNF-related apoptosis-inducing ligand.

JNK inhibition sensitises hepatocellular carcinoma cells but not normal hepatocytes to the TNF-related apoptosis-inducing ligand.

vor 17 Jahren
Influence of peptidylarginine deiminase type 4 genotype and shared epitope on clinical characteristics and autoantibody profile of rheumatoid arthritis.

Influence of peptidylarginine deiminase type 4 genotype and shared epitope on clinical characteristics and autoantibody profile of rheumatoid arthritis.

vor 17 Jahren
Alle Episoden anzeigen
In Podcasts werben
Schalte jetzt Werbung in Podcasts.
Episode melden

„A predictive model for respiratory syncytial virus (RSV) hospitalisation of premature infants born at 33-35 weeks of gestational age, based on data from the Spanish FLIP study“

Worum geht es? Danach fragen wir noch nach dem Grund.

Abonnenten

Teilen

Mein Archiv

Deine Privatkopie der Folgen, die du nicht verlieren willst.

Podcast-Folgen verschwinden. Feeds werden auf die letzten Episoden gekürzt, Hoster räumen alte Dateien ab, Formate wechseln den Anbieter und lassen ihr Archiv zurück. Mit „Mein Archiv“ sichert podcast.de die Folgen deiner Podcasts für dich — angefangen bei den ältesten, denn die sind zuerst weg.

  • Deine gesicherten Folgen bleiben hörbar, auch wenn das Original offline geht.
  • Auch Folgen, die im heutigen Feed gar nicht mehr stehen — podcast.de kennt sie noch.
  • Herunterladen bleibt möglich, solange die Folge beim Podcaster liegt. Der zählt seine Abrufe wie bisher.
Startet bald

Sei beim Start von Mein Archiv dabei

Mein Archiv ist fast fertig. Trag dich ein, dann bekommst du eine E-Mail, sobald es losgeht – und bist von Anfang an dabei. Wir schreiben dir nur zum Start, keine Werbung, keine Weitergabe deiner Daten.

Du bekommst zuerst eine Bestätigungsmail. Abmelden geht jederzeit. Datenschutz