Red blood cell distribution width and tumor necrosis factor-α for the early prediction of coronary artery lesion in Kawasaki disease: a retrospective study

Activated partial thromboplastin time levels and coronary artery lesions in Kawasaki disease: A retrospective cohort study

OBJECTIVE

Kawasaki disease (KD) is an acute systemic inflammation, that affects medium-sized arteries. Coronary artery lesions (CALs) were the most serious complication or sequelae of KD. The intense inflammatory response leads to platelet activation, further exacerbating inflammation, which plays an important role in the pathogenesis of CALs in KD patients. Plus, coagulation factors are closely related to platelet activation. Therefore, we speculate that the activated partial thromboplastin time (APTT), an indicator of coagulation factor function, may be involved in the occurrence of CALs, but it has not been explored yet. This study aims to investigate the effect of the APTT level on CALs occurrence in the acute phase of KD.

METHODS

A total of 2303 KD patients during a 10-year period were recruited at the Wenzhou Medical University affiliated Yuying Children's Hospital. A total of 1715 patients who completed the follow-up were enrolled in the final analysis and were divided into the low APTT group and the high APTT group at a 46 s cutoff before receiving intravenous immunoglobulin (IVIG) treatment. Multiple logistic regression analysis and stratified analysis were utilized to evaluate the independent impact of APTT levels on the occurrence of CALs and to determine the impact of APTT levels on the occurrence of CALs in different subgroups, respectively.

RESULTS

The incidence of CALs in the low APTT group and the high APTT group was 12.5 % and 17.5 %, respectively (P = 0.005). Patients with high APTT levels had higher CRP levels (P < 0.001). High APTT levels were the independent risk factor on the occurrence of CALs; the adjusted odds ratio (OR) was 1.523 (95 % CI: 1.144, 2.028). Similar results were found in stratification analysis and sensitivity analysis.

CONCLUSIONS

KD patients with high APTT levels (≥46 s) before IVIG treatment may be more prone to developing CALs in the acute phase of KD.

Red blood cell distribution width predicts coronary artery lesions in Kawasaki disease: insights from a Japanese cohort

BACKGROUND

Kawasaki disease (KD) is an acute vasculitis that causes coronary artery lesions. This study aimed to identify risk factors for the early prediction of coronary artery disease (CAD) in KD.

METHODS

We conducted a retrospective analysis of 175 Japanese children diagnosed with KD between January 2019 and March 2024. Univariate and multivariate logistic regression analyses were performed to identify predictors of CAD, and the diagnostic performance of various indicators was assessed using receiver operating characteristic (ROC) curves. The correlations between red blood cell distribution width (RDW) and iron-related anemia biomarkers were also evaluated.

RESULTS

Of these, 77 with CAD were classified into the CAD group, while 98 without CAD were categorized as the non-CAD group. Patients in the CAD group were younger and had lower levels of hemoglobin (Hb), total protein, albumin, uric acid, and urea nitrogen, but a higher RDW coefficient of variation (RDW-CV) than the non-CAD group. Logistic regression analysis identified RDW-CV as an independent predictor of CAD. ROC curve analysis demonstrated moderate predictive performance for RDW-CV, with an area under the curve of 0.636 (sensitivity, 55.8%; specificity, 70.4%). Significant correlations were observed between RDW-CV and iron-related anemia biomarkers in the CAD group, but not in the non-CAD group.

CONCLUSIONS

Iron dysregulation may be associated with CAD, and RDW-CV may aid in identifying patients who may develop CAD in KD. Our findings were consistent with previous studies in other Asian populations, supporting the utility of RDW-CV as a predictor of CAD in KD in populations with various ethnic backgrounds.

Utilizing red blood cell distribution width (RDW) as a reliable biomarker to predict treatment effects after chimeric antigen receptor T cell therapy

Chimeric antigen receptor T cell (CAR-T) therapy is an effective treatment for B cell malignancies. A certain fraction of patients, however, experience post-CAR-T relapse, and due to the difficulty of precise relapse prediction, biomarkers that can predict the strength and duration of CAR-T efficacy are needed before CAR-T infusion. Therefore, we performed a single-center cohort study including 91 diffuse large B cell lymphoma (DLBCL) patients treated with CAR-T in order to identify such a new prognostic biomarker. After confirming that each of the already reported prognostic parameters (disease status at leukapheresis, primary refractoriness, number of treatment lines, CD3+ cell counts at leukapheresis) has only limited predictive performance, we established a new composite parameter by integrating these four variables, and found that it predicts progression-free survival (PFS) after CAR-T infusion with statistical significance. Moreover, after comprehensive correlation analyses of this new composite parameter with all individual laboratory variables, we determined that the standard deviation of red blood cell distribution width (RDW-SD) at leukapheresis shows significant correlation with the composite parameter and may be a prognostic biomarker (R2 = 0.76, p = 0.02). Validation analysis indicated that a higher RDW-SD is significantly associated with poorer PFS after CAR-T cell therapy (HR, 3.46, P = 0.03). Thus, this study suggests that a single parameter, RDW-SD at leukapheresis, is a novel, useful biomarker that can be obtained early to predict therapeutic effects of CAR-T cell therapy. Post-CAR-T maintenance or re-induction therapies should be adopted for higher risk patients, who may relapse after CAR-T therapy.

[Predictive indicators and risk model construction for coronary artery lesions in Kawasaki disease children over 5 years old]

OBJECTIVES

To study predictive indicators for coronary artery lesions (CAL) and construct a risk prediction model for CAL in Kawasaki disease (KD) children over 5 years old.

METHODS

A retrospective analysis of KD children over 5 years old at Wuhan Children's Hospital of Tongji Medical College of Huazhong University of Science and Technology from January 2018 to January 2023 was conducted. Among them, 47 cases were complicated with CAL, and 178 cases were not. Multivariate logistic regression analysis was used to explore predictive indicators for CAL in KD children over 5 years old and construct a risk prediction model. The receiver operating characteristic curve was used to evaluate the effectiveness of the prediction model. Finally, the Framingham risk scoring method was used to quantify the predictive indicators, calculate the contribution of each indicator to the prediction of CAL in KD children over 5 years old, and construct a risk prediction scoring model.

RESULTS

The multivariate logistic regression analysis showed that the duration of fever before the initial intravenous immunoglobulin (IVIG) treatment (OR=1.374, 95%CI: 1.117-1.689), levels of hypersensitive C-reactive protein (hs-CRP; OR=1.008, 95%CI: 1.001-1.015), and serum ferritin levels (OR=1.002, 95%CI: 1.001-1.003) were predictive indicators for CAL in KD children over 5 years old. The optimal cutoff values for predicting CAL were: duration of fever before initial IVIG treatment of 6.5 days (AUC=0.654, 95%CI: 0.565-0.744), hs-CRP of 110.50 mg/L (AUC=0.686, 95%CI: 0.597-0.774), and ferritin of 313.62 mg/L (AUC=0.724, 95%CI: 0.642-0.805). According to the Framingham risk scoring method, the low, medium, and high-risk states of CAL occurrence were defined as probabilities of <10%, 10%-20%, and >20%, respectively, with corresponding scores of 0-4 points, 5-6 points, and ≥7 points.

CONCLUSIONS

In KD children over 5 years old, those with a longer duration of fever before initial IVIG treatment, higher levels of hs-CRP, or elevated serum ferritin levels are more likely to develop CAL.

The role of red blood cell distribution width in predicting coronary artery lesions in pediatric patients with kawasaki disease

Background

Recent studies have shown that red blood cell distribution width (RDW) has emerged as a novel predictor of cardiovascular diseases. We aim to investigate the association between RDW and the risk of coronary artery lesions (CALs) in pediatric patients with Kawasaki disease (KD).

Methods

KD patients were classified as the CALs group (patients with CALs) and non-CALs group (patients without CALs). Differences among the groups were analyzed by Mann-Whitney U-test and Chi-square analysis. The independent risk factors of CALs were identified by multivariate logistic regression analysis, followed by receiver operating characteristic (ROC) curve analysis to calculate the optimal cut-off value.

Results

The red blood cell distribution width (RDW) and C-reactive protein were significantly higher in the CALs group than those in the non-CALs group (p < 0.01). Multivariate logistic regression analysis revealed that RDW (OR = 5.2, 95% CI, 4.064 to 6.654) was independent risk factors of CALs in KD patients (p < 0.01). The subgroup analysis also confirmed that the high level of RDW was an independent risk factor for the development of CALs in patients with complete and incomplete KD. The ROC analysis showed the optimal cut-off value of RDW for predicting CALs was >13.86%, with a sensitivity of 75.79% and specificity of 92.81% (AUC = 0.869, 95% CI = 0.844-0.892; p < 0.0001).

Conclusions

RDW is an independent predictor with high sensitivity and specificity to predict CALs in KD patients. The elevation in RDW level (>13.86%) may be used as novel biomarkers for early predicting CALs in KD patients during the acute phase.

Association of lymphopenia and RDW elevation with risk of mortality in acute aortic dissection

OBJECTIVE

The study aimed to investigate whether lymphopenia and red blood cell distribution width (RDW) elevation are associated with an increased risk of mortality in acute aortic dissection (AAD).

METHODS

This multicenter retrospective cohort study enrolled patients diagnosed with AAD by aortic computed tomographic angiography (CTA) from 2010 to 2021 in five teaching hospitals in central-western China. Cox proportional hazards regression and Kaplan-Meier curves were used in univariable and multivariable models. Clinical outcomes were defined as all-cause in-hospital mortality, while associations were evaluated between lymphopenia, accompanied by an elevated RDW, and risk of mortality.

RESULTS

Of 1903 participants, the median age was 53 (interquartile range [IQR], 46-62) years, and females accounted for 21.9%. Adjusted increased risk of mortality was linearly related to the decreasing lymphocyte percentage (P-non-linearity = 0.942) and increasing RDW (P-non-linearity = 0.612), and per standard deviation (SD) of increment lymphocyte percentage and RDW was associated with the 26% (0.74, 0.64-0.84) decrement and 5% (1.05, 0.95-1.15) increment in hazard ratios (HRs) and 95% confidence intervals (CIs) of mortality, respectively. Importantly, lymphopenia and elevation of RDW exhibited a significant interaction with increasing the risk of AAD mortality (P-value for interaction = 0.037).

CONCLUSIONS

Lymphopenia accompanied by the elevation of RDW, which may reflect the immune dysregulation of AAD patients, is associated with an increased risk of mortality. Assessment of immunological biomarkers derived from routine tests may provide novel perspectives for identifying the risk of mortality.

Blood routine examination: a simple way for differential diagnosis of immunoglobulin A vasculitis with abdominal involvement and appendicitis in children

To explore the value of blood routine examination indexes in the differential diagnosis of immunoglobulin A vasculitis (IgAV) with abdominal involvement and appendicitis in children. Forty-seven patients with IgAV and abdominal involvement, 95 cases with appendicitis, and 48 healthy children were enrolled in this study. Demographic and laboratory data were retrospectively recorded from medical files. The levels of serum percentage of lymphocytes (LYM%), percentage of eosinophils (E%), red cell volume distribution width (RDW) and platelet (PLT) count were higher, while blood cells (WBC) count, percentage of neutrophils (N%), percentage of monocytes (M%), mean platelet volume (MPV), platelet distribution width and C-reactive protein were lower in the group of IgAV with abdominal involvement compared to appendicitis group (P < 0.05). Multivariate logistic regression analysis showed LYM% (odds ratio (OR) = 1.34, P = 0.001) and RDW (OR = 2.96, P = 0.045) were independent risk factors for IgAV with abdominal involvement. N% (OR = 1.270, P = 0.006) and MPV (OR = 51.15, P = 0.042) were independently associated with appendicitis. Using receiver operating characteristic analysis, the optimal cut-off values (sensitivity and specificity) respectively were 42.17% (95.7%, 100.0%) for LYM%, 12.65% (83.0%, 83.2%) for RDW, 61.5% (91.6%, 97.9%) for NE% and 10.1fL (78.9%, 75.4%) for MPV, with the AUC values of 0.989, 0.881, 0.985, 0.810, respectively. Blood routine examination indices, especially the N%, LYM%, RDW, and MPV, can be used for simple differential diagnosis of IgAV with abdominal involvement and appendicitis.