Unknown

Dataset Information

Derivation of paediatric blood pressure percentiles from electronic health records.


ABSTRACT:

Background

Identification of abnormal blood pressure (BP) in children requires normative data. We sought to examine the feasibility of using "real-world" office BP data obtained from electronic health records (EHR) to generate age-, sex- and height-specific BP percentiles for children.

Methods

Using data collected 01/01/2009-8/31/2021 from eight large children's healthcare organisations in PEDSnet, we applied a mixed-effects polynomial regression model with random slopes to generate Z-scores and BP percentiles and compared them with currently used normative BP distributions published in the 2017 American Academy of Paediatrics (AAP) Clinical Practise Guidelines (CPG).

Findings

We identified a study sample of 292,412 children (1,085,083 BP measurements), ages 3-17 year

SUBMITTER: Mitsnefes MM 

PROVIDER: S-EPMC10679476 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature