UNASSIGNED: Kawasaki disease (KD) has been considered as the most common required pediatric cardiovascular diseases among the world. However, the molecular mechanisms of KD were not fully underlined, leading to a confused situation in disease management and providing precious prognosis prediction. The disorders of gut microbiome had been identified among several cardiovascular diseases and inflammation conditions. Therefore, it is urgent to elucidate the characteristics of gut microbiome in KD and demonstrate its potential role in regulating intravenous immunoglobulin (IVIG) resistance and coronary artery injuries.
UNASSIGNED: A total of 96 KD children and 62 controls were enrolled in the study. One hundred forty fecal samples had been harvested from KD patients, including individuals before or after IVIG treatment, with or without early coronary artery lesions and IVIG resistance. Fecal samples had been collected before and after IVIG administration and stored at -80°C. Then, metagenomic analysis had been done using Illumina NovaSeq 6000 platform. After that, the different strains and functional differences among comparisons were identified.
UNASSIGNED: First, significant changes had been observed between KD and their controls. We found that the decrease of Akkermansia muciniphila, Faecalibacterium prausnitzii, Bacteroides uniformis, and Bacteroides ovatus and the increase of pathogenic bacteria Finegoldia magna, Abiotrophia defectiva, and Anaerococcus prevotii perhaps closely related to the incidence of KD. Then, metagenomic and responding functional analysis demonstrated that short-chain fatty acid pathways and related strains were associated with different outcomes of therapeutic efficacies. Among them, the reduction of Bacteroides thetaiotaomicron, the enrichment of Enterococcus faecalis and antibiotic resistance genes had been found to be involved in IVIG resistance of KD. Moreover, our data also revealed several potential pathogenetic microbiome of that KD patients with coronary artery lesions.
UNASSIGNED: These results strongly proved that distinct changes in the gut microbiome of KD and the dysfunction of gut microbiomes should be responsible for the pathogenesis of KD and significantly impact the prognosis of KD.

BACKGROUND: Approximately 10-20% of Kawasaki disease (KD) patients suffer from intravenous immunoglobulin (IVIG) resistance, placing them at higher risk of developing coronary artery aneurysms. Therefore, we aimed to construct an IVIG resistance prediction tool for children with KD in Shanghai, China.
METHODS: Retrospective analysis was conducted on data from 1271 patients diagnosed with KD and the patients were randomly divided into a training set and a validation set in a 2:1 ratio. Machine learning algorithms were employed to identify important predictors associated with IVIG resistance and to build a predictive model. The best-performing model was used to construct a dynamic nomogram. Moreover, receiver operating characteristic curves, calibration plots, and decision-curve analysis were utilized to measure the discriminatory power, accuracy, and clinical utility of the nomogram.
RESULTS: Six variables were identified as important predictors, including C-reactive protein, neutrophil ratio, procalcitonin, CD3 ratio, CD19 count, and IgM level. A dynamic nomogram constructed with these factors was available at https://hktk.shinyapps.io/dynnomapp/. The nomogram demonstrated good diagnostic performance in the training and validation sets (area under the receiver operating characteristic curve = 0.816 and 0.800, respectively). Moreover, the calibration curves and decision curves analysis indicated that the nomogram showed good consistency between predicted and actual outcomes and had good clinical benefits.
CONCLUSIONS: A web-based dynamic nomogram for IVIG resistance was constructed with good predictive performance, which can be used as a practical approach for early screening to assist physicians in personalizing the treatment of KD patients in Shanghai.

Intravenous immunoglobulin (IVIG) resistance leads to serious complications in Kawasaki disease (KD) with no effective treatment. This study aimed to investigate the effects of pentraxin 3 (PTX3) on human coronary artery endothelial cells (HCAECs). PTX3 levels were measured using quantitative real-time PCR (qRT-PCR), enzyme-linked immunosorbent assay, and western blotting. Cell viability was detected using the MTT assay. Biological functions were analyzed using CCK-8, EdU, flow cytometry, TUNEL, and qRT-PCR. The levels of factors of the NF-κB pathway were examined using western blotting. The results demonstrated that PTX3 expression was highest in patients and HCAECs with IVIG-resistance. Knockdown of PTX3 promoted proliferation and suppressed apoptosis and inflammation of IVIG-resistant HCAECs, whereas PTX3 overexpression produced the opposite results. Moreover, PTX3 activated the NF-κB pathway in IVIG-resistant HCAECs. A rescue study showed that PTX3 modulated biological behaviors by regulating the NF-κB pathway. Overall, our findings demonstrate that PTX3 promotes IVIG resistance-induced endothelial injury by activating the NF-κB pathway, suggesting that PTX3 may become a novel therapeutic target for patients with IVIG-resistant KD.

Intravenous immunoglobulin (IVIG) resistance is an independent risk factor for the development of coronary artery lesions (CAL) in patients with Kawasaki disease (KD). Accurate identification of IVIG-resistant patients is one of the biggest clinical challenges in the treatment of KD.
In this review article, we will go over current IVIG resistance scoring systems and other biological markers of IVIG resistance, with a particular focus on advances in machine-based learning techniques and high-throughput omics data.
Traditional scoring models, which were developed using logistic regression, including the Kobayashi score and Egami score, are inadequate at identifying IVIG resistance in non-Japanese populations. Newer machine-learning methods and high-throughput technologies including transcriptomic and epigenetic arrays have identified several potential targets for IVIG resistance including gene expression of the Fc receptor, and components of the interleukin (IL)-1β and pyroptosis pathways. As we enter an age where access to big data has become more commonplace, interpretation of large data sets that are able take into account complexities in patient populations will hopefully usher in a new era of precision medicine, which will enable us to identify and treat KD patients with IVIG resistance with increased accuracy.

UNASSIGNED: To investigate the clinical characteristics and risk factors of Kawasaki disease (KD) complicated with hip synovitis.
UNASSIGNED: Children with KD admitted from January 1, 2011, to December 31, 2020, in the KD database of Yuying Children\'s Hospital Affiliated with Wenzhou Medical University were retrospectively included. We selected KD children with hip synovitis as the case group and KD children without hip synovitis as the control group to analyze the possible risk factors of hip synovitis in KD children.
UNASSIGNED: Among 2,871 KD children admitted to our center in recent years, 28 had hip synovitis. In this study 140 KD children were enrolled, including 28 KD children with hip synovitis and 112 children with general KD (within one month of admission). The onset age of KD patients with hip synovitis was 30.92 (23.23-49.99) months, and there were 17 cases of bilateral hip involvement. The course of synovitis (limited movement, joint pain, lameness, unwillingness to stand, etc.) ranged from 1 to 19 days, with an average of (8.8 ± 4.6) days. We treated all KD children with IVIG (Intravenous immunoglobulin) plus aspirin, among which five patients in the case group developed coronary artery damage, six acquired IVIG resistance, and synovial inflammation disappeared within two weeks. Age, weight, length of stay, and incidence of IVIG resistance significantly differed between the two groups (P = 0.001, 0.005, <0.001, and 0.035, respectively). Logistic regression analysis showed that KD combined with hip synovitis was an independent risk factor for developing propyl pellet resistance, with an OR value of 4.625 (95% CI: 1.095, 19.526).
UNASSIGNED: KD combined with hip synovitis mainly involves bilateral hip joints, and joint pain and limited movement are the main clinical features. The symptoms are mild and self-limiting. KD combined with hip synovitis is a risk factor for IVIG resistance. Hip synovitis is a good predictor of IVIG resistance.

BACKGROUND: The optimal therapeutic window to start intravenous immunoglobulin (IVIG) for Kawasaki disease (KD) is highly debatable. We aimed to summarize the existing literature to evaluate the therapeutic window of IVIG treatment and its correlation with clinical outcomes in KD patients.
METHODS: We searched the databases from inception to August 26, 2022, without language restrictions. The primary outcomes were initial IVIG resistance and coronary artery lesions (CALs) in acute phase. Secondary outcome was CALs during 1-2 months of follow-up.
RESULTS: 27 studies involving 41,139 patients were included in this study. Very low-quality evidence showed that the earlier IVIG treatment within 4 days had a higher IVIG-resistance rate (RR, 1.80; 95% CI, 1.50-2.15; P < .00001; I2 = 75%) than the late treatment. Very low-quality evidence showed that IVIG treatment for more than 7 days was associated with a higher risk of CALs in acute phase(RR, 0.57; 95% CI, 0.40-0.80; P = .001; I2 = 76%). There was a lower risk of CALs during 1-2 months follow-up for those who started IVIG administration within 10 days from the onset.
CONCLUSIONS: Overall, IVIG treatment within 7 days of illness seems to be the optimal therapeutic window of IVIG. IVIG treatment within 7 days is found to be effective for reducing the risk of coronary artery lesions and cardiac sequelae in KD patients. The early IVIG treatment within 4 days should be vigilant for the IVIG resistance although large multi-center randomized trials with well design are needed.

UNASSIGNED: Kawasaki disease (KD) was one of the most common primary vasculitis. IVIG resistance was associated with an increased risk of coronary artery aneurysm. Accumulating evidences demonstrated that inflammatory gene polymorphisms might play important roles in IVIG resistance, and zinc finger proteins were closely related to immune inflammation regulation, but the effect of ZNF112/rs8113807 and ZNF180/rs2571051 on IVIG resistance in KD patients has not been reported.
UNASSIGNED: A total of 996 KD patients were recruited, and the assay of TaqMan-real-time polymerase chain reaction was used for ZNF112/rs8113807 and ZNF180/rs2571051 genotyping. Odds ratio (OR) and 95% confidence interval (CI) were calculated for estimating the relationship between the polymorphisms of the both SNPs (ZNF112/rs8113807 and ZNF180/rs2571051) and the risk of IVIG resistance.
UNASSIGNED: Both of the ZNF112/rs8113807 CC/TC genotype and the ZNF180/rs2571051 TT/CT genotype increased the risk of IVIG resistance in KD (rs8113807: CC vs TT: adjusted OR = 1.83, 95% CI = 1.06-3.16, p = 0.0293; CC/TC vs TT adjusted: OR = 1.49, 95% CI = 1.10-2.02, p = 0.0094. rs2571051: TT vs CC adjusted: OR = 2.64, 95% CI = 1.62-4.29, p < 0.0001; TT/CT vs CC adjusted: OR = 2.14, 95% CI = 1.37-3.37, p = 0.0009; TT vs CC/CT adjusted: OR = 1.66, 95% CI = 1.22-2.27, p = 0.0014). Furthermore, the combinative analysis of risk genotypes in ZNF112/rs8113807 and ZNF180/rs2571051 showed that patients with two unfavorable genotypes were more likely to increase risk of IVIG resistance than those who carried with zero or one unfavorable genotypes (adjusted: OR = 1.68, 95% CI = 1.24-2.27, p = 0.0008).
UNASSIGNED: Our findings enriched the genetic background of IVIG resistance risk in the KD development and suggested that the ZNF112/rs8113807 C-carrier and the ZNF180/rs2571051 T-carrier were associated with increased risk of IVIG resistance in KD patients in Chinese southern population.

OBJECTIVE: To assess the risk factors of intravenous immunoglobulin (IVIG)-resistant Kawasaki disease (KD) and to evaluate the performance of the three Japanese risk-scoring systems, namely the Kobayashi, Egami, and Sano scores in predicting IVIG resistance among the Indian patients.
METHODS: Prospective observational study on children admitted with KD at Institute of Child Health, Kolkata, over a period of 16 months, from January 2019 to April 2020. The study included 70 KD patients all of whom were treated with IVIG. Clinical parameters, laboratory variables, and risk scores were compared between the IVIG-responsive and the IVIG-resistant groups.
RESULTS: A total of 31.4% were IVIG non-responders. Skin rash was found to be significantly associated with IVIG-resistant KD. The IVIG-resistant group had higher total bilirubin, lower albumin, higher CRP levels, and higher ALT and AST levels. High Kobayashi score, high Egami score, and high Sano score were significantly associated with IVIG resistance, individually. Sano score had the highest sensitivity (81.8%) and Kobayashi score had the highest specificity (77.1%) in our cohort.
CONCLUSIONS: The presence of skin rash, high total bilirubin, high CRP, high AST, high ALT, and low albumin were important predictors of IVIG resistance in our population. Among the three scores, Sano score is the most reliable in identifying potential non-responders to IVIG. But Sano score lacked good specificity. Therefore, Indian KD patients may need an exclusive scoring system to predict non-responsiveness to IVIG so that a more aggressive therapy can be instituted at the earliest. Key points • Early prediction of IVIG-resistant KD is necessary to limit cardiac injuries. • Sano score has high sensitivity to predict IVIG resistance in Indian population.

To investigate the optimal timing of initial intravenous immunoglobulin (IVIG) treatment in Kawasaki disease (KD) patients.
KD patients were classified as the early group (day 1-4), conventional group (day 5-7), conventional group (day 8-10), and late group (after day 10). Differences among the groups were analyzed by ANOVA and Chi-square analysis. Predictors of IVIG resistance and the optimal cut-off value were determined by multiple logistic regression analyses and receiver operating characteristic (ROC) curve analysis.
There were no significant differences in IVIG resistance among the 4 groups (p = 0.335). The sensitivity analysis also confirmed no difference in the IVIG resistance between those who started the initial IVIG ≤ day 7 of illness and those who received IVIG >day 7 of illness (p = 0.761). In addition, patients who received IVIG administration more than 7 days from the onset had a higher proportion of coronary artery abnormalities (p = 0.034) and longer length of hospitalization (p = 0.033) than those who started IVIG administration less than 7 days. The optimal cut-off value of initial IVIG administration time for predicting IVIG resistance was >7 days, with a sensitivity of 75.25% and specificity of 82.41%.
IVIG therapy within 7 days of illness is found to be more effective for reducing the risk of coronary artery abnormalities than those who received IVIG >day 7 of illness. IVIG treatment within the 7 days of illness seems to be the optimal therapeutic window of IVIG. However, further prospective studies with long-term follow-up are required.

OBJECTIVE: This study aims to develop a new algorithm for predicting intravenous immunoglobulin (IVIG) resistance and coronary artery involvement in Kawasaki disease (KD) through decision tree models.
METHODS: Medical records of children hospitalized for KD were analysed retrospectively. We compared the clinical characteristics, and the laboratory data in the groups with IVIG resistance and coronary artery dilatations (CADs) in KD patients. The decision tree models were developed to predict IVIG resistance and CADs.
RESULTS: A total 896 patients (511 males and 385 females; 1 month-12 years) were eligible. IVIG resistance was identified in 111 (12.3%) patients, and CADs were found in 156 (17.4%). Total bilirubin and nitrogen terminal- pro-brain natriuretic peptide (NT-proBNP) were significantly higher in IVIG resistant group than in IVIG responsive group (0.62 ± 0.8 mg/dL vs 1.38 ± 1.4 mg/dL and 1231 ± 2136 pg/mL vs 2425 ± 4459 mL, respectively, P < 0.01). Also, CADs were more developed in the resistant group (39/111; 14.9% vs. 117/785; 35.1%, P < 0.01). The decision tree for predicting IVIG resistance was classified based on total bilirubin (0.7 mg/mL, 1.46 mg/dL) and NT-proBNP (1561 pg/mL), consisting of two layers and four nodes, with 86.2% training accuracy and 90.5% evaluation accuracy. The Receiver Operating Characteristic (ROC) evaluated the predictive ability of the decision tree, and the area under the curve (AUC) (0.834; 95% confidence interval, 0.675-0.973; P < 0.05) showed relatively higher accuracy. The group with CADs had significantly higher total bilirubin and NT-proBNP levels than the control group (0.64 ± 0.82 mg/dL vs 1.04 ± 1.14 mg/dL and 1192 ± 2049 pg/mL vs 2268 ± 4136 pg/mL, respectively, P < 0.01). The decision trees for predicting CADs were classified into two nodes based on NT-proBNP (789 pg/mL) alone, with 83.5% training accuracy and 90.3% evaluation accuracy.
CONCLUSIONS: A new algorithm decision tree model presents for predicting IVIG resistance and CADs in KD, confirming the usefulness of NT-proBNP as a predictor of KD.