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Prediction of intravenous immunoglobulin unresponsiveness in patients with Kawasaki disease

In the present study, we developed models to predict unresponsiveness to intravenous immunoglobulin (IVIG) in Kawasaki disease (KD). We reviewed clinical records of 546 consecutive KD patients (development dataset) and 204 subsequent KD patients (validation dataset). All received IVIG for treatment...

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Published in:Circulation (New York, N.Y.) N.Y.), 2006-06, Vol.113 (22), p.2606-2612
Main Authors: KOBAYASHI, Tohru, INOUE, Yoshinari, TAKEUCHI, Kazuo, OKADA, Yasunori, TAMURA, Kazushi, TOMOMASA, Takeshi, KOBAYASHI, Tomio, MORIKAWA, Akihiro
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container_title Circulation (New York, N.Y.)
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creator KOBAYASHI, Tohru
INOUE, Yoshinari
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TOMOMASA, Takeshi
KOBAYASHI, Tomio
MORIKAWA, Akihiro
description In the present study, we developed models to predict unresponsiveness to intravenous immunoglobulin (IVIG) in Kawasaki disease (KD). We reviewed clinical records of 546 consecutive KD patients (development dataset) and 204 subsequent KD patients (validation dataset). All received IVIG for treatment of KD. IVIG nonresponders were defined by fever persisting beyond 24 hours or recrudescent fever associated with KD symptoms after an afebrile period. A 7-variable logistic model was constructed, including day of illness at initial treatment, age in months, percentage of white blood cells representing neutrophils, platelet count, and serum aspartate aminotransferase, sodium, and C-reactive protein, which generated an area under the receiver-operating-characteristics curve of 0.84 and 0.90 for the development and validation datasets, respectively. Using both datasets, the 7 variables were used to generate a simple scoring model that gave an area under the receiver-operating-characteristics curve of 0.85. For a cutoff of 0.15 or more in the logistic regression model and 4 points or more in the simple scoring model, sensitivity and specificity were 86% and 67% in the logistic model and 86% and 68% in the simple scoring model. The kappa statistic is 0.67, indicating good agreement between the logistic and simple scoring models. Our predictive models showed high sensitivity and specificity in identifying IVIG nonresponders among KD patients.
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source EZB-FREE-00999 freely available EZB journals
subjects Adolescent
Adult
Aspartate Aminotransferases - blood
Biological and medical sciences
Blood and lymphatic vessels
C-Reactive Protein - analysis
Cardiology. Vascular system
Child
Coronary Artery Disease - prevention & control
Diseases of the peripheral vessels. Diseases of the vena cava. Miscellaneous
Female
Forecasting
Humans
Immunoglobulins, Intravenous - therapeutic use
Immunomodulators
Leukocyte Count
Logistic Models
Male
Medical sciences
Middle Aged
Mucocutaneous Lymph Node Syndrome - blood
Mucocutaneous Lymph Node Syndrome - drug therapy
Mucocutaneous Lymph Node Syndrome - immunology
Multivariate Analysis
Pharmacology. Drug treatments
Platelet Count
Predictive Value of Tests
Retrospective Studies
ROC Curve
Sarcoidosis. Granulomatous diseases of unproved etiology. Connective tissue diseases. Elastic tissue diseases. Vasculitis
Sodium - blood
Treatment Outcome
title Prediction of intravenous immunoglobulin unresponsiveness in patients with Kawasaki disease
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