Red blood cell distribution width predicts coronary artery lesions in Kawasaki disease: insights from a Japanese cohort
Authors' conclusion
Iron dysregulation may be associated with CAD, and RDW-CV may aid in identifying patients who may develop CAD in KD.
Study context
- Population
- Japanese children diagnosed with kawasaki disease (KD) between January 2019 and March 2024
- Participants
- 175 children
- Exposure
- KD with coronary artery disease (CAD) vs KD without CAD
- CADn = 77
- Non-CADn = 98reference
- Outcome
- Risk factors for early prediction of CAD in KD
Methodological detailsunivariate and multivariate logistic regression, ROC curve analysis
- Univariate and multivariate logistic regression
- ROC curve analysis
Main finding
As reported in the abstract
RDW-CV as predictor of CAD
RDW coefficient of variation (RDW-CV) AUC
0.636
RDW-CV sensitivity
55.8%
RDW-CV specificity
70.4%
Observational data: associations, not effects.
Further findings
Baseline differences, CAD vs non-CAD
- CAD patients younger, with lower hemoglobin (Hb), total protein, albumin, uric acid and urea nitrogen, and higher RDW-CV than non-CAD
Correlation of RDW-CV with iron-related anemia biomarkers
- Significant correlations in CAD group, not in non-CAD group
Original publication
Red blood cell distribution width predicts coronary artery lesions in Kawasaki disease: insights from a Japanese cohort. Pediatr Rheumatol Online J. Published 25 March 2025. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →