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Liao JW, Guo X, Li XX, Xian JM, Chen C, Xu MG. Exploring the diagnostic value of CLR and CPR in differentiating Kawasaki disease from other infectious diseases based on clinical predictive modeling. Front Pediatr 2024; 12:1345141. [PMID: 38434730 PMCID: PMC10904529 DOI: 10.3389/fped.2024.1345141] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/27/2023] [Accepted: 01/29/2024] [Indexed: 03/05/2024] Open
Abstract
Background Kawasaki disease (KD) is an important cause of acquired heart disease in children and adolescents worldwide. KD and infectious diseases can be easily confused when the clinical presentation is inadequate or atypical, leading to misdiagnosis or underdiagnosis of KD. In turn, misdiagnosis or underdiagnosis of KD can lead to delayed use of intravenous immunoglobulin (IVIG), increasing the risk of drug resistance and coronary artery lesions (CAL). Objectives The purpose of this study was to develop a predictive model for identifying KD and infectious diseases in children in the hope of helping pediatricians develop timely and accurate treatment plans. Methods The data Patients diagnosed with KD from January 2018 to July 2022 in Shenzhen Longgang District Maternity & Child Healthcare Hospital, and children diagnosed with infectious diseases in the same period will be included in this study as controls. We collected demographic information, clinical presentation, and laboratory data on KD before receiving IVIG treatment. All statistical analyses were performed using R-4.2.1 (https://www.rproject.org/). Logistic regression and Least Absolute Shrinkage with Selection Operator (LASSO) regression analyses were used to build predictive models. Calibration curves and C-index were used to validate the accuracy of the prediction models. Results A total of 1,377 children were enrolled in this study, 187 patients with KD were included in the KD group and 1,190 children with infectious diseases were included in the infected group. We identified 15 variables as independent risk factors for KD by LASSO analysis. Then by logistic regression we identified 7 variables for the construction of nomogram including white blood cell (WBC), Monocyte (MO), erythrocyte sedimentation rate (ESR), alanine transaminase (ALT), albumin (ALB), C-reactive protein to procalcitonin ratio (CPR) and C-reactive protein to lymphocyte ratio (CLR). The calibration curve and C-index of 0.969 (95% confidence interval: 0.960-0.978) validated the model accuracy. Conclusion Our predictive model can be used to discriminate KD from infectious diseases. Using this predictive model, it may be possible to provide an early determination of the use of IVIG and the application of antibiotics as soon as possible.
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Affiliation(s)
- Jin-Wen Liao
- The Department of Pediatrics, Longgang District Maternity & Child Healthcare Hospital of Shenzhen City (Longgang Maternity and Child Institute of Shantou University Medical College), Shenzhen, Guangdong Province, China
| | - Xin Guo
- Neonatology, Longgang District Maternity & Child Healthcare Hospital of Shenzhen City (Longgang Maternity and Child Institute of Shantou University Medical College), Shenzhen, Guangdong Province, China
| | - Xu-Xia Li
- The Department of Pediatrics, Third People’s Hospital of Longgang District Shenzhen, Shenzhen, Guangdong Province, China
| | - Jia-Ming Xian
- Neonatology, Longgang District Maternity & Child Healthcare Hospital of Shenzhen City (Longgang Maternity and Child Institute of Shantou University Medical College), Shenzhen, Guangdong Province, China
| | - Cheng Chen
- Neonatology, Longgang District Maternity & Child Healthcare Hospital of Shenzhen City (Longgang Maternity and Child Institute of Shantou University Medical College), Shenzhen, Guangdong Province, China
| | - Ming-Guo Xu
- The Department of Pediatrics, Third People’s Hospital of Longgang District Shenzhen, Shenzhen, Guangdong Province, China
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Hung SC, Guimaraes C. Imaging of Childhood Cerebral Vasculitis. Neuroimaging Clin N Am 2024; 34:149-166. [PMID: 37951700 DOI: 10.1016/j.nic.2023.07.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2023]
Abstract
Childhood cerebral vasculitis is a condition that affects the blood vessels in the brain of children and is rare but life-threatening. Imaging plays a crucial role in the diagnosis and monitoring of the disease. This article describes the classification, diagnostic algorithm, and various imaging modalities used in the evaluation of childhood cerebral vasculitis and the imaging findings associated with primary and secondary vasculitis. Understanding the imaging features of this condition can assist in early diagnosis, effective treatment, and improve outcomes.
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Affiliation(s)
- Sheng-Che Hung
- Department of Radiology, University of North Carolina, 2000 Old Clinic, CB# 7510, Chapel Hill, NC 27599, USA.
| | - Carolina Guimaraes
- Department of Radiology, University of North Carolina, 2000 Old Clinic, CB# 7510, Chapel Hill, NC 27599, USA
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Misra DP, Sharma A, Karpouzas GA, Kitas GD. Cardiovascular risk in vasculitis. Best Pract Res Clin Rheumatol 2023; 37:101831. [PMID: 37302927 DOI: 10.1016/j.berh.2023.101831] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Revised: 04/06/2023] [Accepted: 04/16/2023] [Indexed: 06/13/2023]
Abstract
The present review summarizes the burden, risk factors, biomarkers of and therapeutic consideration for cardiovascular disease in systemic vasculitis. Ischemic heart disease (IHD) and stroke are intrinsic features of Kawasaki disease, Takayasu arteritis, Giant Cell Arteritis (GCA), and Behcet's disease. The risk of IHD and stroke is increased in anti-neutrophil cytoplasmic antibody-associated vasculitis (AAV) and cryoglobulinemic vasculitis. Behcet's disease could present with venous thromboembolism. The risk of venous thromboembolism is increased in AAV, polyarteritis nodosa, and GCA. The risk of cardiovascular events is greatest at or immediately after the diagnosis of AAV or GCA, therefore, controlling vasculitis disease activity is of utmost importance. Traditional as well as disease-related risk factors drive the heightened cardiovascular risk in vasculitis. Aspirin or statins reduce the risk of IHD or stroke in GCA or the risk of IHD in Kawasaki Disease. Venous thromboembolism in Behcet's disease should be treated with immunosuppressive therapy rather than with anticoagulation.
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Affiliation(s)
- Durga Prasanna Misra
- Department of Clinical Immunology and Rheumatology, Sanjay Gandhi Postgraduate Institute of Medical Sciences (SGPGIMS), Lucknow, 226014, India.
| | - Aman Sharma
- Clinical Immunology and Rheumatology Wing, Department of Internal Medicine, Postgraduate Institute of Medical Education and Research (PGIMER), Sector-12, Chandigarh, 160012, India.
| | | | - George D Kitas
- Research & Development, Dudley Group NHS Foundation Trust and University of Birmingham, UK.
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Laukka D, Parkkola R, Hirvonen J, Ylikotila P, Vahlberg T, Salo E, Kivelev J, Rinne J, Rahi M. Brain white matter hyperintensities in Kawasaki disease: A case–control study. Front Neurosci 2022; 16:995480. [PMID: 36330348 PMCID: PMC9623056 DOI: 10.3389/fnins.2022.995480] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Accepted: 09/21/2022] [Indexed: 11/17/2022] Open
Abstract
Background Cerebrovascular involvement of Kawasaki disease (KD) is poorly studied. White matter hyperintensities (WMH) indicate cerebral small vessel disease and increase the risk for stroke. Purpose To investigate whether childhood KD is associated with WMHs and other cerebrovascular findings later in adulthood. Materials and methods In this case-control study, patients diagnosed with KD (cases) at our tertiary hospital between 1978 and 1995 were invited to brain magnetic resonance (MRI) between 2016 and 2017. Migraine patients (controls) with available brain MRI were matched with cases (ratio 4:1) by age (±2 years) and sex. Two blinded neuroradiologists evaluated independently cerebrovascular findings from the brain MRI scans. Modified Scheltens' visual rating scale was used to evaluate WMH burden and the total WMH volume was measured using manual segmentation. Results Mean age [years, (SD)] at the time of brain MRI was 33.3 (3.8) and 32.8 (4.0) for cases (n = 40) and controls (n = 160), respectively (P = 0.53). Mean follow-up time for cases was 29.5 years (4.3). Total volume of WMHs (median) was 0.26 cm3 (IQR 0.34) for cases and 0.065 cm3 (IQR 0.075) for controls, P = 0.039. Cases had higher total WMH burden (P = 0.003), deep WMH burden (P = 0.003), and more periventricular WMHs (prevalence 7.5 vs. 0%, P = 0.008) than controls. Cases had greater risk of having total Scheltens' score ≥2 vs. < 2 (odds ratio, 6.88; 95% CI: 1.84–25.72, P = 0.0041) and ≥3 vs. < 3 (odds ratio, 22.71; 95% CI: 2.57–200.53, P = 0.0049). Diabetes type 1/type 2, hypertension, smoking status or hypercholesterolemia were not risk factors for WMH burden, p > 0.1. Myocarditis at the acute phase of KD increased the risk for periventricular WMHs (P < 0.05). Three cases (7.5%) and three controls (1.9%) had lacune of presumed vascular origin (P = 0.0096). Conclusion History of KD could be associated with an increased WMH burden. More studies are needed to confirm our results.
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Affiliation(s)
- Dan Laukka
- Department of Neurosurgery, Neurocenter, Turku University Hospital, Turku, Finland
- Clinical Neurosciences, University of Turku, Turku, Finland
- *Correspondence: Dan Laukka
| | - Riitta Parkkola
- Department of Radiology, Turku University Hospital, University of Turku, Turku, Finland
| | - Jussi Hirvonen
- Department of Radiology, Turku University Hospital, University of Turku, Turku, Finland
| | - Pauli Ylikotila
- Clinical Neurosciences, University of Turku, Turku, Finland
- Neurocenter, Turku University Hospital, Turku, Finland
| | - Tero Vahlberg
- Department of Clinical Medicine, Biostatistics, University of Turku, Turku, Finland
| | - Eeva Salo
- Children's Hospital, Helsinki University Hospital, University of Helsinki, Helsinki, Finland
| | - Juri Kivelev
- Department of Neurosurgery, Neurocenter, Turku University Hospital, Turku, Finland
- Clinical Neurosciences, University of Turku, Turku, Finland
| | - Jaakko Rinne
- Department of Neurosurgery, Neurocenter, Turku University Hospital, Turku, Finland
- Clinical Neurosciences, University of Turku, Turku, Finland
| | - Melissa Rahi
- Department of Neurosurgery, Neurocenter, Turku University Hospital, Turku, Finland
- Clinical Neurosciences, University of Turku, Turku, Finland
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