ArticlePediatric research2023
Kawasaki disease coronary artery lesions prediction with monocyte-to-high-density lipoprotein ratio.
Article in Pediatric research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.
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Who cites it
10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 12 citations in OpenAlex.
- Accuracy of Machine Learning in Discriminating Kawasaki Disease and Other Febrile Illnesses: Systematic Review and Meta-Analysis.Journal of medical Internet research · 2024Pooled it
- The role of urinary Dickkopf-3 in the prediction of acute kidney injury: a systematic review meta-analysis.International urology and nephrology · 2023Pooled it
- Machine learning model for intravenous immunoglobulin resistance in Kawasaki disease: model development and validation study.World journal of pediatrics : WJP · 2026Article
- Predictive value of the lactate dehydrogenase to albumin ratio for coronary artery lesions and IVIG resistance in Kawasaki disease.BMC pediatrics · 2026Article
- Association between obesity and neurodevelopmental delay risk in children under five years: A study from Tumbes, Peru.PloS one · 2026Article
- Predictive value of serum lipid for kawasaki disease shock syndrome: a prospective study.Immunologic research · 2025Article
- Correlation between peripheral blood Th17/Treg immune imbalance and coronary artery lesions in children with Kawasaki disease.BMC immunology · 2025Article
- Learning-Based Models for Predicting IVIG Resistance and Coronary Artery Lesions in Kawasaki Disease: A Review of Technical Aspects and Study Features.Paediatric drugs · 2025Review
- Clinical significance of caspase-1 in coronary artery lesions in Kawasaki disease and its mechanism of action on vascular smooth muscle cells.Postepy dermatologii i alergologii · 2025Article
- Monocyte to high-density lipoprotein cholesterol ratio is associated with cerebral small vessel diseases.BMC neurology · 2024Article
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Authors and funding
10 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThe aim of this study was to evaluate the predictive value of the monocyte-to-high-density lipoprotein ratio (MHR) in Kawasaki disease (KD) complicated with coronary artery lesions (CALs) and to construct a nomogram prediction model.
methodsThe medical records of KD inpatients diagnosed in the Department of Pediatrics of Lanzhou University Second Hospital from May 2015 to September 2021 were retrospectively analyzed. ROC curves were applied to evaluate the predictive value of MHR in KD complicated with CALs, and logistic regression analysis was used to screen independent risk factors. We constructed a nomogram model and performed internal validation.
resultsA total of 568 KD patients were enrolled in the study. MHR was significantly higher in KD patients complicated with CALs and was identified as an independent risk factor for CALs (OR: 1.604, 95% CI: 1.292-1.990). The area under the ROC curve for MHR in predicting CALs was 0.661. The C-index of the nomogram model constructed by incorporating MHR was 0.725 (95% CI: 0.682-0.768), and the calibration curve revealed good agreement between the predicted and actual probabilities.
conclusionsMHR may not be suitable as a single biomarker to predict the occurrence of CALs, but the nomogram model constructed in combination with other independent risk factors had acceptable predictive performance. IMPACT: The inflammatory response plays an important role in the pathogenesis of Kawasaki disease. The monocyte-to-high-density lipoprotein ratio is a novel systemic inflammation marker. The monocyte-to-high-density lipoprotein ratio is an independent risk factor for Kawasaki disease complicated with coronary artery lesions. The nomogram established by incorporating the monocyte-to-high-density lipoprotein ratio has satisfactory predictive performance for coronary artery lesion formation.
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