Kawasaki Disease Lesions Research Articles

Coronary Arteries Lesions in Kawasaki Disease: Risk Factors in an Italian Cohort.

Background: Kawasaki disease (KD) is a systemic vasculitis of medium arteries, particularly involving coronary arteries. Coronary artery lesions (CALs) is the most serious complication in the acute stage, potentially leading to ischemic cardiomyopathy, myocardial infarction and sudden death. Environmental factors and genetic background contribute to individual susceptibility to develop CALs. The aim of this study was to define the risk factors for CALs in an Italian cohort. Methods: Data of KD patients from 10 Italian sites were registered into a REDCap database where demographic and clinical data, laboratory findings and coronary status were recorded. KD was diagnosed according to AHA definition. We used multiple logistic regression analysis to identify independent risk factors for CALs. Results: A total of 517 patients were enrolled, mainly Caucasians (83.6%). Presentation was complete in 321 patients (62.8%) and IVIG responsiveness in 360 (70%). CALs developed in 136/517 (26.31%). Gender, age, ethnicity, clinical presentation, fever duration, non-coronary cardiac events, Hb, albumin and CRP were significantly different between patients with and without CALs, while seasonality was not. Male gender, age < 18 months, Asian ethnicity, incomplete presentation and fever > 10 days were independent risk factors for CALs. Conclusions: Age younger than 18 months, incomplete KD and longer fever duration are risk factors for CALs. Asian ethnicity also represents a risk factor in our Italian Cohort.

Necrotic Change of Tunica Media Plays a Key Role in the Development of Coronary Artery Lesions in Kawasaki Disease.

Alarmins resulting from cell death or oxidative stress are involved in the development of Kawasaki disease (KD) vasculitis. In a previous study, we demonstrated the potential role of interleukin (IL)-33 as an alarmin in the development of KD vasculitis. Although edematous dissociation (necrotic change) of the tunica media is thought to be a major source of IL-33 in KD vasculitis, it has not yet been elucidated. We investigated the impact of IL-33 released from necrotic human coronary artery smooth muscle cells (HCASMCs) on human coronary artery endothelial cells (HCAECs) using a coculture assay. Subsequently, we evaluated the anti-inflammatory effects of anti-IL-33 and anti-suppression of tumorigenicity 2 (ST2) antibodies compared with conventional therapies of KD, such as high-dose IgG or anti-tumor necrosis factor (TNF)-α antibody. Primary necrosis of HCASMCs induced significant release of IL-33. In cocultures of necrotic HCASMCs with HCAECs, the necrotic HCASMCs significantly induced the production of various proinflammatory cytokines in the HCAECs. Anti-IL-33 and anti-ST2 antibodies exhibited unique inhibitory effects on the production of platelet-derived growth factor-BB or IL-12(p70) in HCAECs. There is potential involvement of edematous dissociation of the tunica media in the development of KD vasculitis. Furthermore, the distinctive anti-inflammatory effects of the anti-IL-33/ST2 axis drugs suggest novel therapeutic options for patients with refractory KD.

Comparison of six Z-score formulas based on echocardiography for coronary artery lesions in Kawasaki disease

GoalKawasaki disease (KD) patients are at risk of developing the serious complication of coronary artery dilation (CAD). To diagnose CAD caused by KD, various Z-Score formulas are used worldwide. This paper aims to evaluate the differences and inclusiveness among the six most commonly used Z-Score formulas in diagnosing CAD in Suzhou, China. Additionally, the study seeks to compare the differences in CAD diagnosis among different high-risk factor groups. By doing so, this research provides a valuable reference for accurately diagnosing CAD in KD patients. MethodThis paper presents a retrospective analysis of 1509 patients diagnosed with KD at the Children's Hospital of Soochow University between January 2018 and December 2020. We collected the patients' clinical and echocardiographic data and used six Z-Score formulas (Kobayashi et al., de Zorzi et al., Kurotobi et al., McCrindle et al., Olivieri et al., and Dallaire et al.) to diagnose the degree of CAD in different segments. We then compared the diagnostic differences and inclusiveness of these formulas, especially the diagnostic differences in medium to giant CAA. To achieve this, we divided the patients into groups based on their age (≤12 months, 13–30 months, and > 30 months) and fever duration (≤5 days, 6–7 days, 8–9 days, and ≥ 10 days). Using the McNemar test and the Kappa test, we compared the differences and the consistencies of CDA diagnosis among the six Z-Score formulas. Moreover, we used the Friedman test and Chi-square segmentation formula to compare the differences in age and number of fever duration between groups and to compare each Z-Score formula pair within the group. ResultsExcept for the LMCA segment, where there were no statistically significant differences between de Zorzi formula and McCrindle formula, the Z-score formulas showed statistically significant differences in the degree of CAD diagnosis across all other segments. Inclusiveness assessment revealed that Kobayashi formula and Dallaire formula showed significantly higher rates of dilatation (6.58% and 5.32%), or of small aneurysms (6.52% and 4.52%) compared to other formulas (1.0%–1.73%). Medium aneurysms were also more likely to be identified with Kobayashi and Dallaire formulas (0.8% and 0.8%) compared to the remaining formulas (0.13–0.40%). There are significant differences in the diagnoses of medium to giant CAA made by these six formulas in LAD and RCA. The longer the duration of fever and the younger the age, the higher the diagnosis rates of CAD and CAA. There were no statistically significant differences between de Zorzi formula and McCrindle formula, de Zorzi formula and Oliveri formula, and Kurotobi formula and Dallaire formula within the four groups based on the duration of fever. Similarly, there were no statistically significant differences between Kobayashi formula and Dallaire formula, and between de Zorzi formula and Oliveri formula in the age groups of ≤12 months and 13–30 months. ConclusionThere are diagnostic differences among these six Z-score formulas, considering the aforementioned statistics. Kobayashi formula and Dallaire formula are more inclusive, and less likely to under-diagnose significant CAD. They perform evenly for dilatation only, for small aneurysms and the median size aneurysms, and that is for segments of LMCA, LAD and RCA. In addition, McCrindle formula joins the “inclusive” pack for LAD and RCA in the matter of CAD. The younger the age of the patients and the longer the duration of fever, the higher the diagnosis rates of CAD and CAA. Furthermore, the younger the age of the patients and the shorter the duration of fever, the greater the differences between the various formulas.

The Systemic Immune-Inflammation Index (SII) and coronary artery lesions in Kawasaki disease.

Coronary artery lesions (CALs) are the most common complications of Kawasaki disease (KD) and play a crucial role in determining the prognosis of the disease. Consequently, the early identification of children with KD who are at risk of developing coronary artery damage is vitally important. We sought to investigate the relationship between the Systemic Immune-Inflammation Index (SII) and CALs in patients with KD and to assess its predictive value. We carried out a retrospective review and analysis of medical records for KD patients treated at the First Affiliated Hospital of Anhui Medical University between January 2017 and January 2023. We utilized single-variable tests, binary logistic regression analysis, ROC curve analysis, restricted cubic spline tests, and curve fitting to evaluate the association between SII and CALs. In our study, 364 patients were included, with 63 (17.3%) presenting with CALs at the time of admission. The binary logistic regression analysis indicated that SII was a significant risk factor for CALs at admission, evident in both unadjusted and models adjusted for confounders. The ROC curve analysis revealed an AUC (Area Under the Curve) value of 0.789 (95%CI 0.723-0.855, P < 0.001) for SII's predictive ability regarding CALs at admission. A consistent positive linear relationship between SII and the risk of CALs at admission was observed in both the raw and adjusted models. Our research findings suggest that SII serves as a risk factor for CALs and can be used as an auxiliary laboratory biomarker for predicting CALs.

Employing a random forest model to forecast the likelihood of coronary artery lesions in Kawasaki disease: a study centered on four biomarkers

Employing a random forest model to forecast the likelihood of coronary artery lesions in Kawasaki disease: a study centered on four biomarkers

Early Clinical Evaluation of Coronary Artery Lesions in Kawasaki Disease.

The purpose of this study is to analyze the early clinical features of coronary artery lesion (CAL) in Kawasaki disease (KD), evaluate systemic inflammation indicators, and enhance early recognition of CAL in the acute phase of KD. A total of 314 children with KD were divided into those with CAL (CAL group) and without CAL (NCAL group) using echocardiographic results, and their clinical data were retrospectively analyzed. For KD patients, male, children aged 3 to 9 years, and those with fever longer than 6 days before intravenous immunoglobulin (IVIG) use were more likely to have CAL. There were significant differences in sex, age, and fever time (P < .05). Moreover, some laboratory indicator test results revealed there was a significant difference between N-terminal pro-brain natriuretic peptide (NT-pro-BNP) and interleukin-6 (IL-6), and the CAL (P < .05). This study has certain guiding significance for early clinical evaluation.

Development of a prediction model for progression of coronary artery lesions in Kawasaki disease.

This study aimed to identify risk factors for the progression of coronary artery lesions (CALs) in children with Kawasaki disease (KD) and to develop a nomogram prediction model. This is a retrospective case-control study in which the participants were categorized into three groups based on the changes of the maximum Z score (Zmax) of coronary arteries at the 1-month follow-up compared with the baseline Zmax: CALs-progressed, CALs-improved, and CALs-unchanged. Of total 387 patients, 65 (27%), 319 (73%), and 3 (0.7%) patients were categorized into CALs-progressed group, CALs-improved group, and CALs-unchanged group, respectively. Six independent factors associated with CALs progression were identified, including initial IVIG resistance, baseline Zmax, the number of coronary arteries involved, C-reactive protein, albumin, and soluble interleukin-2 receptor (odds ratio: 7.19, 1.51, 2.32, 1.52, 0.86, and 1.46, respectively; all P-values < 0.01). The nomogram prediction model including these six independent risk factors yielded an area under the curve (AUC) of 0.80 (95% confidence interval, 0.74 to 0.86). The accuracy of this model reached 81.7% after the Monte-Carlo Bootstrapping 1000 repetitions. The nomogram prediction model can identify children at high risk for the progression of CALs at early stages. Six independent factors associated with CALs progression were identified, including initial IVIG resistance, baseline Zmax, the number of coronary arteries involved, CRP, ALB, and sIL-2R. The prediction model we constructed can identify children at high risk for the progression of CALs at early stages and help clinicians make individualized treatment plans. Prospective, multi-centered studies with larger sample sizes are warranted to validate the power of this prediction model in children with KD.

Clinical indicators combined with S100A12/TLR2 signaling molecules to establish a new scoring model for coronary artery lesions in Kawasaki disease.

Coronary artery lesions (CALs) are the most common and serious complication of Kawasaki disease (KD), and the pathogenesis is unknown. Exploring KD-specific biomarkers and related risk factors is significant for clinical diagnosis and treatment. This study aimed to explore the feasibility of combining clinical indicators with S100A12/TLR2-associated signaling molecules for the predictive modeling of CALs in KD. A total of 346 patients (224 males and 122 females) with KD who visited the rheumatology department of Wuhan Children's Hospital between April 2022 and March 2025 were enrolled and divided into two groups according to the presence or absence of CALS (292 patients had CALs and 54 patients did not). Forty-one variables were collected from the two groups, including demographic characteristics, clinical manifestations, and laboratory data. Single nucleated cells from each patient were extracted, and the expression of the S100A12/TLR2 signal transduction-related molecules S100A12, TLR2, MYD88, and NF-κB were detected by real-time fluorescent quantitative polymerase chain reaction. Statistically significant variables were subjected to logistic regression analysis to determine the independent risk factors for KD with CALs, and a new risk score model was established to assess the predictive efficacy based on receiver operating characteristic curves. Sixteen variables significantly differed between the no-CALs and CALs groups: gender, fever duration, white blood cells (WBC), hemoglobin (HGB), Ce reactive protein (CRP), procalcitonin, serum ferritin (SF), erythrocyte sedimentation rate (ESR), fibrinogen (FIB), aspartate aminotransferase-to-alanine aminotransferase ratio (AST/ALT), serum albumin (ALB), sodium (Na), Interleukin (IL-10), tumor necrosis factor (TNF-α), S100 calcium binding protein A12 (S100A12), and Myeloid Differentiation Factor 88 (MYD88) (p < 0.05). After performing a univariate analysis, 12 variables (gender, fever duration, WBC, HGB, CRP, SF, ESR, FIB, AST/ALT, ALB, Na, and S100A12) were included in the multifactorial binary logistic regression, which showed that fever duration ≥ 6.5 days, ESR ≥ 46.5 mm/h, AST/ALT ≤ 1.51, and S100A12 ≥ 10.02 were independent risk factors for KD with CALs and were assigned scores of 3, 2, 1, and 2, respectively, according to the odds ratio (OR). The total score of each patient was counted, and a new prediction model for KD combined with CALs was established, where < 3.5 was considered low risk and ≥ 3.5 was regarded as high risk; the sensitivity, specificity, Jorden index, and area under the curve of this scoring system were 0.667, 0.836, 0.502, and 0.838, respectively. This new scoring model has good efficacy for predicting the occurrence of KD with CALs. The expression of S100A12 was significantly increased in the CALs group and was an independent risk factor for the occurrence of CALs, and has the potential as a biomarker for predicting KD with CALs.

Serum IL-41 might be a biomarker for IVIG resistance and coronary artery lesions in Kawasaki disease.

This study aimed to evaluate serum IL-41 levels in IVIG resistance and CALs, and to elucidate the relationship between IL-41 and Kawasaki disease (KD)-related clinical parameters. 93 children with KD were collected. Baseline clinical data were obtained by physical examination. Serum IL-41 levels were detected with an enzyme-linked immunosorbent assay. The correlations between IL-41 and the clinical parameter of KD were performed by Spearman correlation coefficient. Receiver operating characteristic curve analysis was performed to assess the predictive ability of IL-41 for IVIG resistance and CALs. Serum IL-41 levels were significantly increased in the IVIG resistance group compared with the response group, and serum IL-41 levels in the CALs group were higher than those in the non-CALs group. Serum IL-41 levels were positively correlated with erythrocyte sedimentation rate, C-reactive protein and C-reactive protein/albumin ratio, but negatively correlated with albumin. Serum IL-41 levels was an independent risk factor for CALs, and total fever days and neutrophil-to-lymphocyte ratio (NLR) were independent predictors for IVIG resistance. The area under the curve (AUC) value for serum IL-41 to predict IVIG resistance was 0.73, yielding a sensitivity of 54.55% and a specificity of 81.71%. The AUC of serum IL-41 was 0.712, with a sensitivity of 63.16% and a specificity of 72.97% for predicting CALs. IL-41 was not inferior to NLR in predicting IVIG resistance (z=0.282, p=0.7783). Serum IL-41 was increased in IVIG resistance and CALs. Serum IL-41 might be a new potential biomarker for IVIG resistance and CALs.

Nomogram for predicting coronary artery lesions in patients with Kawasaki disease.

Coronary artery lesions are the most important complications of Kawasaki disease. Approximately 25-30% of untreated patients develop coronary artery disease, which can lead to long-term cardiovascular sequelae. The aim of this study is to evaluate the risk factors for coronary artery lesions in Kawasaki disease and to construct a nomogram for predicting the likelihood of developing such lesions. Data from 599 patients between January 2012 and June 2020 were reviewed retrospectively. Patients were randomly assigned to the training set (n = 450) and the validation set (n = 149). A comparison of clinical features and laboratory data was performed, followed by multivariate logistic regression analysis to identify independent risk factors and develop the nomogram. The predictive efficiency of the nomogram was evaluated using the calibration curve, area under the receiver operating characteristic curve (AUC), C-index, and decision curve analysis (DCA). Intravenous immunoglobulin (IVIG) resistance, delayed IVIG treatment, C-reactive protein, and neutrophil/lymphocyte ratio were identified as independent risk factors for the development of coronary artery lesions. The nomogram was constructed based on these four variables. The calibration curve of the nomogram showed a high degree of agreement between the predicted probability and the actual probability. The AUC of the nomogram in the training and validation set was 0.790 and 0.711, respectively. In addition, DCA revealed that the nomogram provided a significant net benefit, further supporting its clinical utility. The constructed nomogram demonstrates a strong and reliable performance in predicting coronary artery lesions, which enables clinicians to make timely and tailored clinical decisions.

Detection of coronary lesions in Kawasaki disease by Scaled-YOLOv4 with HarDNet backbone.

Kawasaki disease (KD) may increase the risk of myocardial infarction or sudden death. In children, delayed KD diagnosis and treatment can increase coronary lesions (CLs) incidence by 25% and mortality by approximately 1%. This study focuses on the use of deep learning algorithm-based KD detection from cardiac ultrasound images. Specifically, object detection for the identification of coronary artery dilatation and brightness of left and right coronary artery is proposed and different AI algorithms were compared. In infants and young children, a dilated coronary artery is only 1-2 mm in diameter than a normal one, and its ultrasound images demonstrate a large amount of noise background-this can be a considerable challenge for image recognition. This study proposes a framework, named Scaled-YOLOv4-HarDNet, integrating the recent Scaled-YOLOv4 but with the CSPDarkNet backbone replaced by the CSPHarDNet framework. The experimental result demonstrated that the mean average precision (mAP) of Scaled-YOLOv4-HarDNet was 72.63%, higher than that of Scaled YOLOv4 and YOLOv5 (70.05% and 69.79% respectively). In addition, it could detect small objects significantly better than Scaled-YOLOv4 and YOLOv5. Scaled-YOLOv4-HarDNet may aid physicians in detecting KD and determining the treatment approach. Because relatively few artificial intelligence solutions about images for KD detection have been reported thus far, this paper is expected to make a substantial academic and clinical contribution.

Tenascin-C predicts IVIG non-responsiveness and coronary artery lesions in kawasaki disease in a Chinese cohort.

To assess the predictive value of tenascin-C (TN-C) for intravenous immunoglobulin (IVIG) non-responsiveness and coronary artery lesions (CALs) development at the acute stage of Kawasaki disease, and to build novel scoring systems for identifying IVIG non-responsiveness and CALs. A total of 261 patients in acute-stage Kawasaki disease were included. Serum samples before IVIG initiation were collected and TN-C expression levels were measured using an enzyme-linked immunosorbent assay. In addition to TN-C, another fifteen clinical and laboratory parameters collected before treatment were compared between IVIG responsive and non-responsive groups, and between groups with and without CALs. Multiple logistic regression analyses were performed to construct new scoring systems for the prediction of IVIG non-responsiveness and CALs development. IVIG non-responsive group (n = 51) had significantly higher TN-C level compared to IVIG responsive group (n = 210) (15.44 vs. 12.38 IU/L, P < 0.001). A novel scoring system composed of TN-C, total bilirubin, serum sodium and albumin was established to predict IVIG non-responsiveness. Patients with a total score ≥ 2 points were classified as high-risk cases. With the sensitivity of 78.4% and specificity of 73.8%, the efficiency of our scoring system for predicting IVIG non-responsiveness was comparable to the Kobayashi system. Consistently, the group developing CALs at the acute stage (n = 42) had significantly higher TN-C level compared to the group without CALs (n = 219) (19.76 vs. 12.10 IU/L, P < 0.001). A new scoring system showed that patients with elevated TN-C, platelet count ≥ 450 × 109/L, and delayed initial infusion of IVIG had a higher risk of developing CALs. Individuals with a total score ≥ 3 points were classified as high-risk cases. The sensitivity and specificity of the novel simple system for predicting CALs development were 83.3% and 74.0%, respectively, yielding a better efficiency than the Harada score. Elevated TN-C appeared to be an independent risk factor for both IVIG non-responsiveness and CALs in Chinese children with KD. Our scoring systems containing TN-C is simple and efficient in the early identification of high-risk KD cases that could benefit from more individualized medications.

Prediction Model Risk-of-Bias Assessment Tool for coronary artery lesions in Kawasaki disease

ObjectiveTo review and critically appraise articles on prediction models for coronary artery lesions (CALs) in Kawasaki disease included in PubMed, Embase, and Web of Science databases from January 1, 1980, to December 23, 2021.Materials and methodsStudy screening, data extraction, and quality assessment were performed by two independent reviewers, with a statistics expert resolving discrepancies. Articles that developed or validated a prediction model for CALs in Kawasaki disease were included. The Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modeling Studies checklist was used to extract data from different articles, and Prediction Model Risk-of-Bias Assessment Tool (PROBAST) was used to assess the bias risk in different prediction models. We screened 19 studies from a pool of 881 articles.ResultsThe studies included 73–5,151 patients. In most studies, univariable logistic regression was used to develop prediction models. In two studies, external data were used to validate the developing model. The most commonly included predictors were C-reactive protein (CRP) level, male sex, and fever duration. All studies had a high bias risk, mostly because of small sample size, improper handling of missing data, and inappropriate descriptions of model performance and the evaluation model.ConclusionThe prediction models were suitable for the subjects included in the studies, but were poorly effective in other populations. The phenomenon may partly be due to the bias risk in prediction models. Future models should address these problems and PROBAST should be used to guide study design.

Albumin level and progression of coronary artery lesions in Kawasaki disease: A retrospective cohort study.

BackgroundAlbumin (ALB) level is closely associated with the occurrence of intravenous immunoglobulin (IVIG) resistance and coronary artery lesions (CALs) in Kawasaki disease (KD). The association between ALB level and CALs progression, is critical to the prognosis of KD patients. But little is known about it. This study aims to investigate the effect of the ALB level on CALs progression in KD patients.MethodsA total of 3,479 KD patients from 1 January 2005 to 30 November 2020, in Wenzhou, China were recruited. A total of 319 KD patients who had CALs and ALB data, and finish the follow-up as requested were enrolled in this study. They were classified into the low ALB group and the normal ALB group, divided by 30 g/L. CALs outcomes were classified into two categories according to the CALs changes from the time that CALs were detected within 48 h before or after IVIG treatment to 1 month after disease onset: progressed and no progressed. Multiple logistic regression models were used to assess the independent effect of ALB level on CALs progression among KD patients. Stratified analysis was performed to verify the ALB level on CALs progression among patients in different subgroups.ResultsHigher proportion of IVIG resistance (P < 0.001), receiving non-standard therapy (P < 0.001), and receiving delayed IVIG treatment (P = 0.020) were detected in patients with lower ALB level. Patients with lower ALB level had higher C-reactive protein (CRP) level (P = 0.097) and white blood cell count (WBC) (P = 0.036). After adjustment for confounders, patients with lower ALB level had higher odds of CALs progression; the adjusted odds ratio (OR) was 3.89 (95% CI: 1.68, 9.02). Similar results were found using stratification analysis and sensitivity analysis. Male gender and age over 36 months, as covariates in multiple logistic regression models, were also associated with CALs progression.ConclusionLow ALB level is identified as an independent risk factor for CALs progression in KD patients. Male gender and age over 36 months are also proved to be risk factors for CALs progression. Further investments are required to explore its mechanisms.

Kawasaki Disease and Coronary Artery Involvement: A Narrative Review

Kawasaki disease is a systemic vasculitis with a risk of developing coronary artery lesions if left untreated. Kawasaki disease can be diagnosed clinically with classical symptoms (conjunctivitis, rash, lymphadenopathy, mucositis, edema of hands and feet), but predicting the risk of developing coronary artery aneurysm remains challenging. The coronary sequelae of Kawasaki disease have significant morbidity and mortality and are the second most common cause of acquired cardiac disease in children. Several genetic and immune factors are involved in the inflammation of coronary artery lesions in Kawasaki disease. Inositol trisphosphate 3-Kinase (ITPKC), Foxp3+, circular RNAs, mannose-binding lectin 2 (MBL2), complement factor H (CFH), kininogen 1 (KNG1), serpin family C member 1 (SERPINC1) and fibronectin 1 (FN1) are the essential genes identified in the pathogenesis of coronary artery lesions in Kawasaki disease. The addition of methylprednisolone to a combination of aspirin and intravenous immunoglobulins and biological agents like anakinra, etanercept, infliximab, and immunosuppressants like cyclosporine prevents the occurrence of coronary artery aneurysms in Kawasaki disease. Since the coronary artery lesions form the second most common cause of acquired cardiac disease in children and the incidence of myocardial infarction is a late complication, the risk stratification for coronary artery aneurysms and follow-up protocols for the prevention of cardiac thrombosis were proposed by the American Heart Association in 2017.

Breastfeeding has no protective effects on the development of coronary artery lesions in Kawasaki disease: a retrospective cohort study

BackgroundKawasaki disease (KD) is a self-limiting vasculitis with an unknown etiology. It has been reported that breastfeeding has a potential protective effect on KD development. However, whether breastfeeding has an effect on the development of coronary artery lesions (CALs) remains unclear.MethodsWe retrospectively reviewed the medical records of patients with the main diagnosis of KD hospitalized in our hospital from May 2017 to November 2018. Standardized telephone interviews were carried out to obtain feeding practices before KD was onset.ResultsTwo hundred and ninety-three (51.6%) were exclusively breastfed, 223 (39.3%) were partially breastfed and 52 (9.2%) were formula fed. There were no significant differences in the characteristics regarding age, gender, incomplete KD, intravenous immunoglobulin (IVIG) resistance, and the laboratory variables among the three groups. With formula feeding as a reference, patients exclusively breastfed and partially breastfed seemed to have a higher incidence of CALs, even after adjusting confounders, but were not statistically significant. After grouping patients who were older than six months into formula feeding, partial breastfeeding for < 2 months, partial breastfeeding for ≥ 2 and < 4 months, partial breastfeeding for ≥ 4 and < 6 months and exclusively breastfeeding based on the length of breastfeeding, the results remained the same (P > 0.05).ConclusionsBreastfeeding has no protective effect on the development of CALs in KD.

Onycholysis associated with Kawasaki disease: A comment on “Characteristic nail lesions in Kawasaki disease: Case series and literature review”

Onycholysis associated with Kawasaki disease: A comment on “Characteristic nail lesions in Kawasaki disease: Case series and literature review”

Characteristic nail lesions in Kawasaki disease: Case series and literature review.

Kawasaki disease (KD) is vasculitis of unknown etiology in infants and young children. The diagnostic criteria for KD include major and minor symptoms, but various nail lesions are not described in detail. The aim of this study was to identify symptoms that are relatively found in nail of KD as diagnostic markers. After literature review, various nail lesions are classified as Beau's lines, leukonychia, onychomadesis, orange-brown chromonychia, and pincer nail deformity. The orange-brown chromonychia is the most common nail lesion in KD. In this study, the authors found three cases of KD with orange-brown chromonychia; two of these cases included rare dotted or splinter hemorrhages in the nail bed that were found on dermoscopic examination. The authors propose that these nail lesions, including hemorrhage of the nail bed, could be included as a helpful diagnosis of KD.

Impact of Z score system on the management of coronary artery lesions in Kawasaki disease.

Coronary artery aneurysms are well-described in Kawasaki disease and the Multisystem Inflammatory Syndrome in Children and are graded using Z scores. Three Z score systems (Boston, Montreal, and DC) are widely used in North America. The recent Pediatric Heart Network Z score system is derived from the largest diverse sample to-date. The impact of Z score system on the rate of coronary dilation and management was assessed in a large real-world dataset. Using a combined dataset of patients with acute Kawasaki disease from the Children's Hospital at Montefiore and the National Heart, Lung, and Blood Institute Kawasaki Disease Study, coronary Z scores and the rate of coronary lesions (Z ≥ 2.0) and aneurysms (Z ≥ 2.5) were determined using four Z score systems. Agreement among Z scores and the effect on Kawasaki management were assessed. Of 333 patients analysed, 136 were from Montefiore and 197 from the Kawasaki Disease Study. Age, sex, body surface area, and rate of coronary lesions did not differ between the samples. Among the four Z score systems, the rate of acute coronary lesions varied from 24 to 55%. The mean left anterior descending Z scores from Pediatric Heart Network and Boston had a large uniform discrepancy of 1.3. Differences in Z scores among the four systems may change anticoagulation management in up to 22% of a Kawasaki population. Choice of Z score system alone may impact Kawasaki disease diagnosis and management. Further research is necessary to determine the ideal coronary Z score system.

The occurrence of coronary artery lesions in Kawasaki disease based on C-reactive protein levels: a retrospective cohort study

BackgroundThis study aimed to assess the occurrence of coronary artery lesions (CAL) in patients with Kawasaki disease (KD) according to serum C-reactive protein (CRP) levels.MethodsThis retrospective analysis was based on the nationwide survey of KD conducted in the Republic of Korea between 2015 and 2017. We enrolled 9131 patients and defined low (< 3 mg/dL) and high (≥3 mg/dL) CRP groups. Demographic data, clinical characteristics, z-scores, and scores based on the Japanese criteria for CAL were compared between the two groups. Logistic regression analysis was used to identify CAL risk factors.ResultsThe low CRP group accounted for 23% of patients. The mean age at diagnosis was higher in high CRP group compared to the low CRP group (34.4 ± 24.9 vs 31.7 ± 24.8 months, p < 0.001). Fever duration before treatment was not significantly different between the two groups (5.1 ± 1.7 days vs. 5.2 ± 2.1 days; p = 0.206). A non-response to intravenous immunoglobulin treatment was found in 1377 patients (20.1%) and 225 patients (11.7%) in the high and low CRP groups, respectively (p < 0.001). CAL were found in 12.9 and 18.3% of the high and low CRP patients, respectively (p < 0.001), based on z-scores; and in 9.9 and 12.5%, respectively (p = 0.001), based on the Japanese criteria in the acute phase. The giant coronary artery aneurysm occurrence ratio was similar between groups (p = 1.0).ConclusionsCAL occurred in patients with both high and low CRP. Therefore, patients with KD should be carefully monitored regardless of their CRP levels.