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BACKGROUND: A model to predict hospitalization due to respiratory syncytial virus (RSV) of infants born at 33- 35 weeks' gestation was developed using seven risk factors from the Spanish FLIP study "birth +/-10 weeks from the beginning of the RSV season", "birth weight", "breast fed <or=2 months", "number of siblings >or=2 years", "number of family members with atopy", "number of family members with wheezing", and "gender". The aim of this study was to validate the model using French data.
METHODS: The FLIP model [predictive accuracy 71%, receiver operating characteristic (ROC) 0.791] was tested against the French data (77 hospitalized infants with RSV born at 33-35 weeks and 154 age-matched controls) using discriminatory function analysis by applying the FLIP coefficients to the French data and by generating the seven variable model from the French data.
RESULTS: Applying the FLIP coefficients to the French dataset, the model correctly classified 69% of cases (ROC 0.627). The predictive power increased to 73% (ROC 0.654) when "number of siblings >or=2 years" was substituted for "number of children at school". The number needed to treat (NNT) in order to prevent 70% of hospitalizations was 18. The model derived using French data could correctly classify 62% of cases in the French data (ROC 0.658).
CONCLUSIONS: The model was successfully validated and may potentially optimize immunoprophylaxis in French infants born at 33-35
Validation of a model to predict hospitalization due to RSV of infants born at 33-35 weeks' gestation / Carbonell-Estrany, Xavier; Simões, Eric A F; Fullarton, John R; Ferdynus, Cyril; Gouyon, Jean-Bernard; European, RSV Risk Factor Study Group; Lanari, M.. - In: JOURNAL OF PERINATAL MEDICINE. - ISSN 1619-3997. - ELETTRONICO. - 38:4(2010), pp. 411-417. [10.1515/JPM.2010.074]
Validation of a model to predict hospitalization due to RSV of infants born at 33-35 weeks' gestation
Carbonell Estrany, Xavier;Simões, Eric A. F;Fullarton, John R;Ferdynus, Cyril;Gouyon, Jean Bernard;European, RSV Risk Factor Study Group;LANARI, MARCELLO
2010
Abstract
BACKGROUND: A model to predict hospitalization due to respiratory syncytial virus (RSV) of infants born at 33- 35 weeks' gestation was developed using seven risk factors from the Spanish FLIP study "birth +/-10 weeks from the beginning of the RSV season", "birth weight", "breast fed or=2 years", "number of family members with atopy", "number of family members with wheezing", and "gender". The aim of this study was to validate the model using French data.
METHODS: The FLIP model [predictive accuracy 71%, receiver operating characteristic (ROC) 0.791] was tested against the French data (77 hospitalized infants with RSV born at 33-35 weeks and 154 age-matched controls) using discriminatory function analysis by applying the FLIP coefficients to the French data and by generating the seven variable model from the French data.
RESULTS: Applying the FLIP coefficients to the French dataset, the model correctly classified 69% of cases (ROC 0.627). The predictive power increased to 73% (ROC 0.654) when "number of siblings >or=2 years" was substituted for "number of children at school". The number needed to treat (NNT) in order to prevent 70% of hospitalizations was 18. The model derived using French data could correctly classify 62% of cases in the French data (ROC 0.658).
CONCLUSIONS: The model was successfully validated and may potentially optimize immunoprophylaxis in French infants born at 33-35
Validation of a model to predict hospitalization due to RSV of infants born at 33-35 weeks' gestation / Carbonell-Estrany, Xavier; Simões, Eric A F; Fullarton, John R; Ferdynus, Cyril; Gouyon, Jean-Bernard; European, RSV Risk Factor Study Group; Lanari, M.. - In: JOURNAL OF PERINATAL MEDICINE. - ISSN 1619-3997. - ELETTRONICO. - 38:4(2010), pp. 411-417. [10.1515/JPM.2010.074]
Carbonell-Estrany, Xavier; Simões, Eric A F; Fullarton, John R; Ferdynus, Cyril; Gouyon, Jean-Bernard; European, RSV Risk Factor Study Group; Lanari, M.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/591268
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Il report seguente simula gli indicatori relativi alla propria produzione scientifica in relazione alle soglie ASN 2023-2025 del proprio SC/SSD. Si ricorda che il superamento dei valori soglia (almeno 2 su 3) è requisito necessario ma non sufficiente al conseguimento dell'abilitazione. La simulazione si basa sui dati IRIS e sugli indicatori bibliometrici alla data indicata e non tiene conto di eventuali periodi di congedo obbligatorio, che in sede di domanda ASN danno diritto a incrementi percentuali dei valori. La simulazione può differire dall'esito di un’eventuale domanda ASN sia per errori di catalogazione e/o dati mancanti in IRIS, sia per la variabilità dei dati bibliometrici nel tempo. Si consideri che Anvur calcola i valori degli indicatori all'ultima data utile per la presentazione delle domande.
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