Nomogram for predicting coronary artery lesions in patients with Kawasaki disease

B-cell hub genes play a cardiovascular pathogenic role of in childhood obesity and Kawasaki disease as revealed by transcriptomics-based analyses

The study aims to explore the central genes that Kawasaki disease (KD) and Obesity (OB) may jointly contribute to coronary artery disease. Investigating single-cell datasets (GSE168732 and GSE163830) from a comprehensive gene expression database, we identified characteristic immune cell subpopulations in KD and OB. B cells emerged as the common immune cell characteristic subgroup in both conditions. Subsequently, we analyzed RNA sequencing datasets (GSE18606 and GSE87493) to identify genes associated with B-cell subpopulations in KD and OB. Lastly, a genome-wide association study and Mendelian randomization were conducted to substantiate the causal impact of these core genes on myocardial infarction. Quantitative real-time PCR (qRT-PCR) to validate the expression levels of hub genes in KD and OB. The overlapping characteristic genes of B cell clusters in both KD and OB yielded 70 shared characteristic genes. PPI analysis led to the discovery of eleven key genes that significantly contribute to the crosstalk. Employing receiver operating characteristic analysis, we evaluated the specificity and sensitivity of these core genes and scored them using Cytoscape software. The inverse variance weighting analysis suggested an association between TNFRSF17 and myocardial infarction risk, with an odds ratio of 0.9995 (95% CI = 0.9990-1.0000, p = 0.049). By employing a single-cell combined transcriptome data analysis, we successfully pinpointed central genes associated with both KD and OB. The implications of these findings extend to shedding light on the increased risk of coronary artery disease resulting from the co-occurrence of OB and KD.

Right ventricular-pulmonary artery coupling is an independent risk factor for coronary artery lesions in children with Kawasaki disease

BACKGROUND

The recognition ability of right ventricular-pulmonary artery (RV-PA) coupling for coronary artery lesions (CAL) in children with Kawasaki disease (KD) has not been well characterized. This study aimed to determine whether RV-PA coupling is an independent the risk factors for CAL in children with KD.

METHODS

Between October 2021 and August 2023, RV-PA coupling was assessed in 59 KD children using the ratio between echocardiographic tricuspid annular plane systolic excursion and pulmonary artery systolic pressure (PASP). Multivariable logistic regression analysis was used to identify the independent risk factors for CAL among the demographic, clinical, laboratory and echocardiographic data.

RESULTS

Twenty-nine of 59 KD children had CAL according to the diagnostic criteria of echocardiography. There were significantly different white blood cell count, C-reactive protein, erythrocyte sedimentation rate, left ventricular ejection fraction, PASP and RV-PA coupling at admission, and significantly different acute/subacute phase ratio of RV-PA coupling between KD children with and without CAL ( P  < 0.05). Multivariate logistic regression analysis identified that acute/subacute phase ratio of RV-PA coupling (OR = 26.800; 95% CI, 1.276-562.668; P  = 0.034) was an independent risk factor for CAL in children with KD. The area under receiver operating characteristic curve for the acute/subacute phase ratio of RV-PA coupling was 0.715 (95%CI: 0.624 - 0.825) to predict CAL in KD children ( P  < 0.05), with a sensitivity of 81.25% and a specificity of 62.57% at the optimal cutoff value of 0.839.

CONCLUSION

The acute/subacute phase ratio of RV-PA coupling was an independent risk factor for CAL in KD children.

A prediction model for coronary artery abnormalities in children with Kawasaki disease older than 5 years

OBJECTIVE

Reliably prediction models for coronary artery abnormalities (CAA) in children aged >5 years with Kawasaki disease (KD) are still lacking. This study aimed to develop a nomogram model for predicting CAA at 4 to 8 weeks of illness in children with KD older than 5 years.

METHODS

A total of 644 eligible children were randomly assigned to a training cohort (n = 450) and a validation cohort (n = 194). The least absolute shrinkage and selection operator (LASSO) analysis was used for optimal predictors selection, and multivariate logistic regression was used to develop a nomogram model based on the selected predictors. Area under the receiver operating characteristic curve (AUC), calibration curves, Hosmer-Lemeshow test, Brier score, and decision curve analysis (DCA) were used to assess model performance.

RESULTS

Neutrophil to lymphocyte ratio, intravenous immunoglobulin resistance, and maximum baseline z-score ≥ 2.5 were identified by LASSO as significant predictors. The model incorporating these variables showed good discrimination and calibration capacities in both training and validation cohorts. The AUC of the training cohort and validation cohort were 0.854 and 0.850, respectively. The DCA confirmed the clinical usefulness of the nomogram model.

CONCLUSIONS

A novel nomogram model was established to accurately assess the risk of CAA at 4-8 weeks of onset among KD children older than 5 years, which may aid clinical decision-making.

Myocardial work is independent risk factor for coronary artery lesions in children with Kawasaki disease

BACKGROUND

The recognition ability of noninvasive echocardiographic myocardial work for coronary artery lesions (CAL) in children with Kawasaki disease (KD) has not been well characterized. This study aimed to determine whether impaired myocardial work is an independent risk factor for CAL in children with KD.

METHODS

Between December 2021 and April 2023, left ventricular (LV) myocardial work of 59 KD children was evaluated by myocardial work echocardiography, and their demographic, clinical and laboratory data were collected simultaneously. Multivariable logistic regression analysis was used to identify the independent risk factors for CAL.

RESULTS

Twenty-seven of 59 KD children had CAL according to the diagnostic criteria of echocardiography. There were significantly different heart rates, white blood cell count, LV ejection fraction, global work index (GWI), global work efficiency and global wasted work (GWW) between KD children with and without CAL ( P < 0.05). Multivariate logistic regression analysis identified that GWI [odds ratio (OR) = 0.985; P = 0.001], GWW (OR = 1.039; P = 0.019), erythrocyte sedimentation rate (ESR, OR = 1.051; P = 0.049) and C-reactive protein (CRP) (OR = 1.017; P = 0.044) were independent risk factors for CAL in children with KD. The area under receiver operating characteristic curve (AUC) of 0.847 for GWI was superior to that for GWW (AUC = 0.708), ESR (AUC = 0.645) and CRP (AUC = 0.626) to predict CAL in KD children ( P < 0.05). The optimal cutoff value of GWI was 1089 mmHg, with a sensitivity of 59.26% and a specificity of 96.87%.

CONCLUSION

GWI and GWW were independent risk factors for CAL in KD children with high discrimination ability.