Comparison of percentile tables and algorithm-based calculators for classification of blood pressures in children and adolescents with obesity: A secondary analysis of a clinical trial.

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dc.contributor.author Pitts, William J
dc.contributor.author Cave, Tami L
dc.contributor.author Cavadino, Alana
dc.contributor.author Shypailo, Roman J
dc.contributor.author Maessen, Sarah E
dc.contributor.author Hofman, Paul L
dc.contributor.author Wong, William
dc.contributor.author Anderson, Yvonne C
dc.coverage.spatial Australia
dc.date.accessioned 2023-07-09T23:57:02Z
dc.date.available 2023-07-09T23:57:02Z
dc.date.issued 2023-02
dc.identifier.citation (2023). Journal of Paediatrics and Child Health, 59(2), 242-246.
dc.identifier.issn 1034-4810
dc.identifier.uri https://hdl.handle.net/2292/64583
dc.description.abstract <h4>Aim</h4>Obesity as a major risk factor for childhood hypertension necessitates careful blood pressure (BP) monitoring of those affected. This study aimed to compare BP classification in a cohort of children affected by obesity using tables versus digital calculations in two sets of guidelines.<h4>Methods</h4>This study was a secondary analysis of data collected from a randomised clinical trial of a multidisciplinary life-style assessment and intervention program. Baseline data from 237 children with a body mass index >99th percentile or >91st percentile with weight-related comorbidities and available BP measurements were analysed. We assessed agreement between tables and algorithms in classification of elevated BP/pre-hypertension and hypertension based on the American Academy of Paediatrics (AAP) clinical practice guidelines (CPG) and the older Fourth Report using Cohen's weighted kappa. The prevalence of hypertensive diagnoses was also compared between the two guidelines.<h4>Results</h4>Agreement between BP tables and algorithmic calculation of percentiles was discordant, though improved in the AAP CPG compared to the Fourth Report (Cohen's kappa = 0.70 vs. 0.57, respectively). None (0%) were missed diagnoses, and 59 (24.9%) were false positives for the Fourth Report, and 0 (0%) were missed diagnoses, and 49 (20.9%) were false positives for the AAP CPG. Under the recent guidelines, there was an increase in prevalence of 6.0% (95% confidence interval (CI) 2.5-9.4%; P = 0.0001) for BP ≥90th percentile, and of 3.0% (95% CI 0.4-5.6%; p = 0.016) for hypertension (BP ≥ 95th percentile) in the cohort (18.0% and 6.8%, respectively, increased from 12.0% and 3.8%).<h4>Conclusions</h4>Digital calculators over tables in clinical practice are recommended where possible to improve the accuracy of paediatric BP classification. Substantial rates of elevated BP/Hypertension were found in this cohort of children and adolescents with overweight and obesity.
dc.format.medium Print-Electronic
dc.language eng
dc.publisher Wiley
dc.relation.ispartofseries Journal of paediatrics and child health
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher.
dc.rights.uri https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm
dc.rights.uri http://creativecommons.org/licenses/by-nc/4.0/
dc.subject Humans
dc.subject Hypertension
dc.subject Blood Pressure Determination
dc.subject Prevalence
dc.subject Risk Factors
dc.subject Blood Pressure
dc.subject Adolescent
dc.subject Child
dc.subject United States
dc.subject Pediatric Obesity
dc.subject normative blood pressure tables
dc.subject obesity
dc.subject paediatric
dc.subject Comparative Effectiveness Research
dc.subject Clinical Trials and Supportive Activities
dc.subject Cardiovascular
dc.subject Nutrition
dc.subject Clinical Research
dc.subject Pediatric
dc.subject 1103 Clinical Sciences
dc.subject 1114 Paediatrics and Reproductive Medicine
dc.subject 1117 Public Health and Health Services
dc.title Comparison of percentile tables and algorithm-based calculators for classification of blood pressures in children and adolescents with obesity: A secondary analysis of a clinical trial.
dc.type Journal Article
dc.identifier.doi 10.1111/jpc.16270
pubs.issue 2
pubs.begin-page 242
pubs.volume 59
dc.date.updated 2023-06-29T05:38:00Z
dc.rights.holder Copyright: The authors en
dc.identifier.pmid 36404725 (pubmed)
pubs.author-url https://www.ncbi.nlm.nih.gov/pubmed/36404725
pubs.end-page 246
pubs.publication-status Published
dc.rights.accessrights http://purl.org/eprint/accessRights/OpenAccess en
pubs.subtype Research Support, Non-U.S. Gov't
pubs.subtype research-article
pubs.subtype Randomized Controlled Trial
pubs.subtype Journal Article
pubs.elements-id 928601
pubs.org-id Liggins Institute
pubs.org-id Medical and Health Sciences
pubs.org-id Population Health
pubs.org-id Epidemiology & Biostatistics
pubs.org-id School of Medicine
pubs.org-id Paediatrics Child & Youth Hlth
dc.identifier.eissn 1440-1754
pubs.record-created-at-source-date 2023-06-29
pubs.online-publication-date 2022-11-20


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