Association of HDL-Cholesterol, hypertension and left ventricular hypertrophy in youths with overweight or obesity.

Children HDL-Cholesterol Hypertension Left ventricular hypertrophy Obesity

Journal

Nutrition, metabolism, and cardiovascular diseases : NMCD
ISSN: 1590-3729
Titre abrégé: Nutr Metab Cardiovasc Dis
Pays: Netherlands
ID NLM: 9111474

Informations de publication

Date de publication:
09 Sep 2023
Historique:
received: 16 05 2023
revised: 10 08 2023
accepted: 04 09 2023
medline: 4 10 2023
pubmed: 4 10 2023
entrez: 3 10 2023
Statut: aheadofprint

Résumé

To evaluate the relationship between HDL-Cholesterol (HDL-C), hypertension, and left ventricular hypertrophy (LVH) in a large sample of Caucasian youths with overweight/obesity (OW/OB). A cross-sectional multicenter study was performed in 1469 youths (age 6-16 years) with OW/OB observed in the period 2016-2020. An additional independent sample of 244 youths with an echocardiographic evaluation, observed in a single center was analyzed. The sample was divided in six quantiles (Q) of HDL-C: Q1: >56, Q2: ≤56 > 51, Q3: ≤51 > 45, Q4: ≤45 > 41, Q5: ≤41 > 39, Q6: <39 mg/dL. The nadir of the relationship was identified in youths in the first quantile. Among HDL-Cholesterol quantiles the distribution of hypertension was non-linear with a percentage of 25.0%, 40.1%, 33.6%, 31.3%, 35.2% and 39.7% in the six quantiles, respectively. The percentage of LVH was 21.8%, 43.6%, 48.8%, 35.5%, 38.5% and 52.0% in the six quantiles, respectively. The highest odds [95%Cl] of hypertension were 2.05 (1.33-3.16) (P < 0.01) in Q2, 1.67 (1.10-2.55) (P < 0.05) in Q3 and 1.59 (1.05-2.41) (P < 0.05) in Q6 vs Q1. The odds of LVH were 3.86 (1.15-10.24) (P < 0.05) in Q2, 4.16 (1.58-10.91) (P < 0.05) in Q3 and 3.60 (1.44-9.02) (P < 0.05) in Q6 vs Q1, independently by centers, age, sex, prepubertal stage, and body mass index. Contrary to the common belief, the present study shows that high levels of HDL-C may be not considered a negative predictor of hypertension and LVH, two risk factors for future CV disease.

Sections du résumé

BACKGROUND AND AIM OBJECTIVE
To evaluate the relationship between HDL-Cholesterol (HDL-C), hypertension, and left ventricular hypertrophy (LVH) in a large sample of Caucasian youths with overweight/obesity (OW/OB).
METHODS AND RESULTS RESULTS
A cross-sectional multicenter study was performed in 1469 youths (age 6-16 years) with OW/OB observed in the period 2016-2020. An additional independent sample of 244 youths with an echocardiographic evaluation, observed in a single center was analyzed. The sample was divided in six quantiles (Q) of HDL-C: Q1: >56, Q2: ≤56 > 51, Q3: ≤51 > 45, Q4: ≤45 > 41, Q5: ≤41 > 39, Q6: <39 mg/dL. The nadir of the relationship was identified in youths in the first quantile. Among HDL-Cholesterol quantiles the distribution of hypertension was non-linear with a percentage of 25.0%, 40.1%, 33.6%, 31.3%, 35.2% and 39.7% in the six quantiles, respectively. The percentage of LVH was 21.8%, 43.6%, 48.8%, 35.5%, 38.5% and 52.0% in the six quantiles, respectively. The highest odds [95%Cl] of hypertension were 2.05 (1.33-3.16) (P < 0.01) in Q2, 1.67 (1.10-2.55) (P < 0.05) in Q3 and 1.59 (1.05-2.41) (P < 0.05) in Q6 vs Q1. The odds of LVH were 3.86 (1.15-10.24) (P < 0.05) in Q2, 4.16 (1.58-10.91) (P < 0.05) in Q3 and 3.60 (1.44-9.02) (P < 0.05) in Q6 vs Q1, independently by centers, age, sex, prepubertal stage, and body mass index.
CONCLUSION CONCLUSIONS
Contrary to the common belief, the present study shows that high levels of HDL-C may be not considered a negative predictor of hypertension and LVH, two risk factors for future CV disease.

Identifiants

pubmed: 37788959
pii: S0939-4753(23)00347-2
doi: 10.1016/j.numecd.2023.09.005
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2023 The Authors. Published by Elsevier B.V. All rights reserved.

Auteurs

Procolo Di Bonito (P)

Department of Internal Medicine, Pozzuoli Hospital (Naples), Italy.

Anita Morandi (A)

Department of Surgery, Dentistry, Pediatrics and Gynecology, Section of Pediatric Diabetes and Metabolism, University and Azienda Ospedaliera Universitaria Integrata of Verona, Verona, Italy.

Maria Rosaria Licenziati (MR)

Neuro-Endocrine Diseases and Obesity Unit, Department of Neurosciences, Santobono-Pausilipon Children's Hospital, Napoli, Italy.

Anna Di Sessa (A)

Department of Woman, Child and of General and Specialized Surgery, University of Campania "Luigi Vanvitelli", Napoli, Italy.

Emanuele Miraglia Del Giudice (E)

Department of Woman, Child and of General and Specialized Surgery, University of Campania "Luigi Vanvitelli", Napoli, Italy.

Maria Felicia Faienza (MF)

Department of Precision and Regenerative Medicine and Ionian Area, University of Bari "Aldo Moro", Bari, Italy.

Domenico Corica (D)

Department of Human Pathology in Adulthood and Childhood, University of Messina, Messina, Italy.

Malgorzata Wasniewska (M)

Department of Human Pathology in Adulthood and Childhood, University of Messina, Messina, Italy.

Enza Mozzillo (E)

Section of Pediatrics, Department of Translational Medical Science, Regional Center of Pediatric Diabetes, University of Naples "Federico II", Napoli, Italy.

Giulio Maltoni (G)

Pediatric Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.

Francesca Franco (F)

Pediatric Department, Azienda Sanitaria Universitaria Friuli Centrale, Hospital of Udine, Italy.

Valeria Calcaterra (V)

Pediatric Department, "V. Buzzi" Children's Hospital, Milano, Italy; Department of Internal Medicine, University of Pavia, Pavia, Italy.

Nicola Moio (N)

Department of Cardiology, Pozzuoli Hospital, (Naples), Italy.

Claudio Maffeis (C)

Department of Surgery, Dentistry, Pediatrics and Gynecology, Section of Pediatric Diabetes and Metabolism, University and Azienda Ospedaliera Universitaria Integrata of Verona, Verona, Italy.

Giuliana Valerio (G)

Department of Movement Sciences and Wellbeing, University of Napoli "Parthenope", Napoli, Italy. Electronic address: giuliana.valerio@uniparthenope.it.

Classifications MeSH