Evaluating the Arterial Stiffness as a Useful Tool in the Management of Obese Children.
Monica Simina MihutaDana Liana StoianAndreea BorleaCristina Mihaela RoiOana-Alexandra Velea-BartaIoana M MozoșCorina PaulPublished in: Children (Basel, Switzerland) (2023)
Childhood obesity speeds up the development of arterial stiffness and progressively increases the values of arterial pressure. The purpose of this study is to investigate the value of using pulse wave analysis (PWA) to measure arterial stiffness as a sign of vascular wall impairment in obese children. The research was focused on 60 subjects: 33 obese and 27 normal-weight. Ages ranged from 6 to 18 years old. PWA includes parameters such as pulse wave velocity (PWV), augmentation index (AIx), peripheral and central blood pressure (SBP, DBP, cSBP, cDBP), heart rate, and central pulse pressure (cPP). The device used was a Mobil-O-Graph. Blood parameters were taken from the subject's medical history, not older than 6 months. A high BMI and a large waist circumference are linked to a high PWV. The levels of LDL-c, triglycerides (TG), non-HDL-c, TG/HDL-c ratio, and total cholesterol-HDL-c ratio significantly correlate to PWV, SBP, and cSBP. Alanine aminotransferase is a reliable predictor of PWV, AIx, SBP, DBP, and cDBP, while aspartate aminotransferase is a significant predictor of AIx, mean arterial pressure (MAP), cSBP, and cPP. 25-OH-Vitamin D negatively correlates with PWV, SBP, and MAP and significantly predicts the MAP. Cortisol and TSH levels are not significant to arterial stiffness in obese children without specific comorbidities and neither is fasting glucose in obese children without impaired glucose tolerance. We conclude that PWA contributes valuable data regarding patients' vascular health and should be considered a reliable tool in the management of obese children.
Keyphrases
- blood pressure
- heart rate
- weight loss
- adipose tissue
- metabolic syndrome
- young adults
- body mass index
- type diabetes
- obese patients
- hypertensive patients
- healthcare
- heart rate variability
- blood glucose
- public health
- bariatric surgery
- physical activity
- weight gain
- high density
- skeletal muscle
- climate change
- convolutional neural network
- big data
- blood flow
- artificial intelligence