BACKGROUND Potential long-term effects of treatment for childhood cancer include adiposity, insulin resistance, dyslipidemia and hypertension. These risk factors cluster together as metabolic syndrome (MetS) and increase the risk for development of diabetes mellitus and cardio- and cerebrovascular disease. Knowledge on risk factors, timely diagnosis and preventive strategies is of importance to prevent cardio- and cerebrovascular complications and improve quality of life. Currently, no studies in national cohorts on prevalence and determinants of MetS in childhood cancer survivors including biomarkers and genetic predisposition are available. OBJECTIVE Describe the methodology of the Dutch LATER METS study on prevalence and risk factors of metabolic syndrome in adult survivors of childhood cancer, treated between 1963 and 2002. METHODS The current study is a cross-sectional study, based on recruitment of a national cohort of adult long-term survivors, that will assess 1) prevalence as well as disease- and treatment-related and genetic risk factors of MetS and its separate components, compared to available normative data, and 2) diagnostic value of biomarkers. Metabolic syndrome will be classified according to the definitions of the National Cholesterol Education Program (NCEP-ATPIII) as well as the International Diabetes Federation (IDF), and DXA-scans will be performed to assess body composition in more detail. A total of 2380 survivors was included, between 2016 and 2020, in seven pediatric oncology hospitals. RESULTS n.a. CONCLUSIONS The Dutch LATER METS study will provide knowledge on clinical and genetic determinants of MetS, and the diagnostic value of biomarkers, in survivors. The results of this study will be used to optimize surveillance guidelines for MetS in survivors, and improve follow-up of survivors.
Background Potential late effects of treatment for childhood cancer include adiposity, insulin resistance, dyslipidemia, and hypertension. These risk factors cluster together as metabolic syndrome and increase the risk for development of diabetes mellitus and cardio- and cerebrovascular disease. Knowledge on risk factors, timely diagnosis, and preventive strategies is of importance to prevent cardio- and cerebrovascular complications and improve quality of life. Currently, no national cohort studies on the prevalence and determinants of metabolic syndrome in childhood cancer survivors, including biomarkers and genetic predisposition, are available. Objective The objectives of the Dutch LATER METS study are to assess 1) the prevalence and risk factors of metabolic syndrome and its separate components, and 2) the potential diagnostic and predictive value of additional biomarkers for surveillance of metabolic syndrome in the national cohort of adult long-term survivors of childhood cancer. Methods This is a cross-sectional study based on recruitment of all survivors treated in the Netherlands between 1963 and 2002. Metabolic syndrome will be classified according to the definitions of the third Adult Treatment Panel Report of the National Cholesterol Education Program as well as the Joint Interim Statement and compared to reference data. Dual-energy x-ray absorptiometry scans were performed to assess body composition in more detail. The effect of patient characteristics, previous treatment, and genetic variation on the risk of metabolic syndrome will be assessed. The diagnostic and predictive value of novel biomarkers will be tested. Results Patient accrual started in 2016 and lasted until April 2020. A total of 2380 survivors from 7 pediatric oncology hospitals have participated. From July 2020, biomarker testing, single nucleotide polymorphism analysis, and data analysis will be performed. Conclusions The Dutch LATER METS study will provide knowledge on clinical and genetic determinants of metabolic syndrome and the diagnostic value of biomarkers in childhood cancer survivors. The results of this study will be used to optimize surveillance guidelines for metabolic syndrome in survivors based on enhanced risk stratification and screening strategies. This will improve diagnosis of metabolic syndrome and prevent complications. International Registered Report Identifier (IRRID) DERR1-10.2196/21256
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