Clustering of cardio-metabolic risk factors in parents of adolescents with type 1 diabetes and microalbuminuria
Marcovecchio, M. Loredana; Tossavainen, Päivi H.; Owen, Katharine; Fullah, Catherine; Benitez-Aguirre, Paul; Masi, Stefano; Ong, Ken; Nguyen, Helen; Chiesa, Scott T.; Dalton, R. Neil; Deanfield, John; Dunger, David B. (2017-03-08)
Marcovecchio, M. L., Tossavainen, P. H., Owen, K., Fullah, C., Benitez-Aguirre, P., Masi, S., … Dunger, D. B. (2017). Clustering of cardio-metabolic risk factors in parents of adolescents with type 1 diabetes and microalbuminuria. Pediatric Diabetes, 18(8), 947–954. https://doi.org/10.1111/pedi.12515
© 2017 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd. This is the peer reviewed version of the following article: Marcovecchio, M. L., Tossavainen, P. H., Owen, K., Fullah, C., Benitez-Aguirre, P., Masi, S., … Dunger, D. B. (2017). Clustering of cardio-metabolic risk factors in parents of adolescents with type 1 diabetes and microalbuminuria. Pediatric Diabetes, 18(8), 947–954. https://doi.org/10.1111/pedi.12515, which has been published in final form at https://doi.org/10.1111/pedi.12515. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving.
https://rightsstatements.org/vocab/InC/1.0/
https://urn.fi/URN:NBN:fi-fe2019091928796
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Abstract
Objective: To evaluate the association between a clustering of cardio‐metabolic risk factors in parents and the development of microalbuminuria (MA) in their offspring with childhood‐onset type 1 diabetes (T1D).
Methods: The study population comprised 53 parents (mean age [±SD]: 56.7±6.2 years) of 35 T1D young people with MA (MA+) and 86 parents (age: 56.1±6.3 years) of 50 matched offspring with normoalbuminuria (MA–), who underwent clinical, biochemical and cardiovascular imaging assessments. The primary study endpoint was the difference between parents from the MA+ and MA− groups in a cardio‐metabolic risk score, calculated as the average value of the standardized measures (z‐scores) for waist circumference, blood pressure, fasting glucose, insulin, HDL‐cholesterol and triglycerides levels. Cardiovascular parameters, including carotid intima‐media thickness (cIMT), flow‐mediated dilatation (FMD) and pulse wave velocity (PWV), were also assessed. A DXA scan was performed to assess body composition.
Results: The cardio‐metabolic risk score was significantly higher in parents of MA+ compared to parents of MA− offspring (mean [95% CI]: 1.066[0.076; 2.056] vs −0.268[−0.997; 0.460], P = .03). Parents of MA+ offspring had slightly higher values of waist circumference, lipids, insulin and blood pressure, although only diastolic blood pressure was statistically different between the 2 groups (P = .0085). FMD, cIMT, PWV (all P > .3), and DXA parameters (all P > .2) were not significantly different between the 2 groups.
Conclusions: Parents of young offspring with childhood‐onset T1D and MA showed an abnormal metabolic profile, reflected by a calculated risk score. The finding supports the role of a familial predisposition to risk of developing diabetic nephropathy.
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