A novel model for predicting non-responsiveness to intravenous immunoglobulins in Kawasaki disease: The Singapore experience.
J Paediatr Child Health
; 55(8): 962-967, 2019 Aug.
Article
em En
| MEDLINE
| ID: mdl-30520192
ABSTRACT
AIM:
We aimed to assess the utility of four published risk-scoring methods in predicting intravenous immunoglobulins (IVIG) non-responsiveness in Kawasaki disease (KD) patients from Singapore and develop a new predictive model.METHODS:
We reviewed the medical records of 215 KD children. The performance of existing scoring methods in identifying non-responsive cases based on sensitivities (SN) and specificities (SP) was evaluated in 122 Singaporean Chinese. From our dataset, a model involving six predictors was built.RESULTS:
The following respective SN (%) and SP (%) were obtained Egami 26%, 68%; Kobayashi 21%, 62%; Sano 13%, 86% and Fukunishi 46%, 71%. These results indicated that the existing scoring methods performed poorly compared to those reported in their respective original publications, which ranged between 68 and 87%. The new predictive model was derived with an improved SN (80%) and SP (80%).CONCLUSIONS:
Currently available risk-scoring methods have less applicability in the Singaporean Chinese population. The proposed new risk-scoring predictive model derived based on data from Chinese cohort demonstrated much better SN and SP.Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Imunoglobulinas Intravenosas
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Previsões
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Síndrome de Linfonodos Mucocutâneos
Tipo de estudo:
Diagnostic_studies
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Prognostic_studies
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Risk_factors_studies
Limite:
Child, preschool
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Female
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Humans
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Infant
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Male
País/Região como assunto:
Asia
Idioma:
En
Revista:
J Paediatr Child Health
Assunto da revista:
PEDIATRIA
Ano de publicação:
2019
Tipo de documento:
Article
País de afiliação:
Singapura