Height-Based Equations Can Improve the Diagnosis of Elevated Blood Pressure in Children.
Am J Hypertens
; 31(9): 1059-1065, 2018 08 03.
Article
em En
| MEDLINE
| ID: mdl-29452343
Background: High blood pressure (BP) is usually underdiagnosed in children and adolescents, particularly due to its complex diagnosis process. This study describes novel height-based equations for the detection of BP disorders (BP > 90th percentile) and compares the accuracy of this approach with previously described screening methods to identify BP disorders. Methods: Height-based equations were built using the 90th percentile values for systolic and diastolic BP and respective height values from the current guideline of high-BP management in children. This guideline was also used as the gold standard method for identification of BP disorders. The equations were tested in Brazilian (n = 2,936) and American (n = 6,541) populations of children with 8-13 years old. Results: The obtained equations were 70 + 0.3 × height (in cm) for systolic BP and 35 + 0.25 × height (in cm) for diastolic BP. The new equations presented sensitivity and negative predictive value of near 100% and specificity > 91% and showed higher specificity and positive predictive value when compared with other screening tools. Importantly, height-based equations had greater agreement (kappa coefficient = 0.75-0.81) with the gold standard method than the other methods (kappa coefficient = 0.53-0.73). Further analysis showed that alternative height-based equations designed to identify hypertension (BP ≥ 95th percentile) also showed superior performance (kappa coefficient = 0.89-0.92) compared with other screening methods (kappa coefficient = 0.43-0.85). Conclusions: These findings suggest that the use of height-based equations may be a simple and feasible approach to improve the detection of high BP in the pediatric population.
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Pressão Sanguínea
/
Estatura
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Hipertensão
/
Modelos Biológicos
Tipo de estudo:
Diagnostic_studies
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Guideline
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Observational_studies
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Prognostic_studies
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Risk_factors_studies
Limite:
Adolescent
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Child
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Female
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Humans
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Male
País/Região como assunto:
America do norte
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America do sul
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Brasil
Idioma:
En
Ano de publicação:
2018
Tipo de documento:
Article