Prevalence and Risk Factors of Metabolic Syndrome Components in Childhood Cancer Survivors.
Hye Young JinJun Ah LeeMeerim ParkHyeon Jin ParkPublished in: Journal of adolescent and young adult oncology (2022)
Purpose: It is crucial for childhood cancer survivors (CCSs) to manage metabolic syndrome. The prevalence and predictive factors of metabolic syndrome components in CCSs were investigated. Methods: This study included CCSs who were diagnosed with cancer under the age of 20 and completed therapy more than 1 year ago. The anthropometric and laboratory data were obtained from the medical records retrospectively. The reference group was extracted from the Korea National Health and Nutrition Examination Survey (2016-2019). Results: Of the participants, 29.1% (75 of 258) of the CCSs and 26.4% (1339 of 5081) of the reference group were obese. Blood pressure and triglyceride levels were significantly different in the two groups. Metabolic syndrome was identified in 35 of 258 (13.6%) patients. The reference group showed a 9.4% of prevalence (480 of 5086) ( p = 0.028). A total of 127 of 230 (59.6%) met at least one of the dyslipidemia criteria. In multivariate analysis, current age and growth hormone deficiency (GHD) (OR = 5.905) were significant prognostic factors for dyslipidemia, and GHD was a significant prognostic factor for hypertriglyceridemia (OR = 2.864, p = 0.0316) and hypercholesterolemia (OR = 3.053, p = 0.0467). Cranial radiotherapy (RT) was a prognostic variable for hyper low-density lipoprotein cholesterolemia (OR = 2.866, p = 0.0032). Conclusions: The frequency of metabolic syndrome was higher in CCSs compared with the reference group. Dyslipidemia was common in CCSs with clinical parameters such as GHD and cranial RT. Risk-based long-term follow-up is needed, and early intervention is required for CCSs.
Keyphrases
- metabolic syndrome
- prognostic factors
- insulin resistance
- low density lipoprotein
- uric acid
- childhood cancer
- blood pressure
- young adults
- cardiovascular risk factors
- growth hormone
- risk factors
- randomized controlled trial
- radiation therapy
- healthcare
- early stage
- stem cells
- ejection fraction
- papillary thyroid
- adipose tissue
- type diabetes
- body composition
- mesenchymal stem cells
- machine learning
- cardiovascular disease
- squamous cell carcinoma
- squamous cell
- high resolution
- deep learning
- patient reported outcomes
- replacement therapy
- blood glucose
- lymph node metastasis