Obese and Type 2 Diabetic Youth Have Increased Forward and Backward Wave Reflections
Author(s) -
Andrew Tran,
Thomas R. Kimball,
Philip R. Khoury,
Lawrence M. Dolan,
Elaine M. Urbina
Publication year - 2020
Publication title -
arteriosclerosis thrombosis and vascular biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.007
H-Index - 270
eISSN - 1524-4636
pISSN - 1079-5642
DOI - 10.1161/atvbaha.120.315317
Subject(s) - medicine , pulse wave velocity , cardiology , type 2 diabetes , blood pressure , diabetes mellitus , obesity , body mass index , adverse effect , endocrinology
Objective: Pulse wave analysis estimates arterial wave reflections relating to left ventricular dysfunction and cardiovascular event risk in adults. Forward and backward waves (Pf and Pb) may improve risk stratification for cardiovascular events. Data in youth are lacking. We hypothesized that a significant difference in wave reflections would be identified in young subjects with adverse cardiovascular risk factors. Approach and Results: Vital signs and labs were obtained in 551 patients aged 10 to 24 years who were lean (L=199), obese (O=173), or had type 2 diabetes (T=179). Wave separation was performed. Differences in cardiovascular risk factors and wave reflections were assessed using ANOVA. General linear models were constructed to elucidate independent predictors of wave reflections. O and T subjects had an adverse cardiovascular risk profile versus L. O and T subjects had higher Pf and Pb versus L (P ≤0.05). When adjusted for adiposity and other cardiovascular risk factors, reflection magnitude increased from L to O to T with higher T versus L values (P ≤0.05) and near-significant O versus L values (P =0.06). Adiposity and blood pressure were major determinants of wave reflections. Pb influenced log left ventricular mass index, log E/e′, and log composite carotid intima-media thickness.Conclusions: Adolescents and young adults with obesity and type 2 diabetes have altered forward and backward wave reflections versus lean controls related to adiposity, BP, and insulin levels. These parameters may help risk stratify patients with adverse cardiovascular risk factors.
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