ArticleRheumatology international2019
The factors affecting the disease course in Kawasaki disease.
Article in Rheumatology international, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.
- Kawasaki-like disease in children with COVID-19.Rheumatology international · 2020Pooled it
- Risk factors and performance of coronary aneurysm risk scores in children with Kawasaki disease.Frontiers in pediatrics · 2026Article
- Evaluation of Formosa score and diagnostic sensitivity and specificity of four Asian risk scores for predicting intravenous immunoglobulin resistance in Kawasaki disease: a bivariate meta-analysis.Frontiers in cardiovascular medicine · 2023Review
- Comparison of IVIG resistance predictive models in Kawasaki disease.Pediatric research · 2022Article
- Kawasaki disease recognition and treatment.Canadian family physician Medecin de famille canadien · 2020Article
- Pediatric COVID-19 infection in Sulaimaniyah Governorate, Iraq.American journal of otolaryngologyArticle
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Authors and funding
10 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The aim of this study was to review the characteristics of patients with Kawasaki disease (KD) from Turkey and to assess the performance of the Kobayashi score (KS), Harada score (HS), Formosa score (FS), Egami score (ES) and other parameters in predicting intravenous immunoglobulin (IVIG) resistance and coronary artery involvement (CAI) in the Turkish population. Patients who were diagnosed as being in the acute phase of KD at Hacettepe University Faculty of Medicine (Ankara, Turkey) between June 2007 and January 2016 reviewed retrospectively, and those between January 2016 and February 2018 reviewed prospectively, were included in this cohort study. A total of 100 patients with KD were included in this study. Statistical Package for Social Sciences for Windows 22.0 (SPSS Inc, Chicago, IL, USA) was used for statistical analysis. Eighty-five patients (85%) responded to IVIG treatment, whereas 15 (5 female, 10 male) were IVIG resistant. CAI was detected in echocardiography at diagnosis in 31 (31%) (9 female; 22 male) patients. For predicting IVIG resistance, KS, ES, FS, and HS had sensitivity of 82.1%, 26.7%, 30.8%, 69.2% and specificity of 35.7%, 94%, 51.2%, 45.8%, respectively. For the association with CAI occurrence, the sensitivities were 17.2%, 3.3%, 35.7%, 70.4% and the specificities were 78.5%, 88.4%, 49.3%, 49.3% for the aforementioned scores, respectively. The multivariate analysis showed white blood cell (WBC) count [Odd's ratio (OR) 4.1; 95% confidence interval (CI) 1.26-13.23; p = 0.019] and hematocrit (OR 3.8; 95% CI 1.15-12.4; p = 0.028), as independent predictors of CAI while gamma-glutamyl transferase (GGT) level (OR 5.7; 95% CI 1.73-27.51; p = 0.018) was detected as the only independent predictor of IVIG resistance. This is the first study from Turkey in KD to evaluate the association of the scoring systems for IVIG resistance and CAI. The risk scoring systems in KD did not predict the risk for IVIG resistance and were not associated with CAI in Turkish population.
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