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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

AIM: 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. METHODS:...

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Autores principales: Pitts, William J, Cave, Tami L, Cavadino, Alana, Shypailo, Roman J, Maessen, Sarah E, Hofman, Paul L, Wong, William, Anderson, Yvonne C
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons Australia, Ltd. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10100042/
https://www.ncbi.nlm.nih.gov/pubmed/36404725
http://dx.doi.org/10.1111/jpc.16270
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author Pitts, William J
Cave, Tami L
Cavadino, Alana
Shypailo, Roman J
Maessen, Sarah E
Hofman, Paul L
Wong, William
Anderson, Yvonne C
author_facet Pitts, William J
Cave, Tami L
Cavadino, Alana
Shypailo, Roman J
Maessen, Sarah E
Hofman, Paul L
Wong, William
Anderson, Yvonne C
author_sort Pitts, William J
collection PubMed
description AIM: 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. METHODS: 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. RESULTS: 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%). CONCLUSIONS: 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.
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spelling pubmed-101000422023-04-14 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 Pitts, William J Cave, Tami L Cavadino, Alana Shypailo, Roman J Maessen, Sarah E Hofman, Paul L Wong, William Anderson, Yvonne C J Paediatr Child Health Original Articles AIM: 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. METHODS: 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. RESULTS: 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%). CONCLUSIONS: 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. John Wiley & Sons Australia, Ltd. 2022-11-20 2023-02 /pmc/articles/PMC10100042/ /pubmed/36404725 http://dx.doi.org/10.1111/jpc.16270 Text en © 2022 The Authors. Journal of Paediatrics and Child Health published by John Wiley & Sons Australia, Ltd on behalf of Paediatrics and Child Health Division (The Royal Australasian College of Physicians). https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Original Articles
Pitts, William J
Cave, Tami L
Cavadino, Alana
Shypailo, Roman J
Maessen, Sarah E
Hofman, Paul L
Wong, William
Anderson, Yvonne C
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
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
title_full 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
title_fullStr 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
title_full_unstemmed 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
title_short 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
title_sort 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
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10100042/
https://www.ncbi.nlm.nih.gov/pubmed/36404725
http://dx.doi.org/10.1111/jpc.16270
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