↓ Skip to main content

Predicting Hypertension Among Children With Incident Elevated Blood Pressure

Overview of attention for article published in Academic Pediatrics, February 2017
Altmetric Badge

Mentioned by

twitter
2 X users
facebook
1 Facebook page

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
57 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Predicting Hypertension Among Children With Incident Elevated Blood Pressure
Published in
Academic Pediatrics, February 2017
DOI 10.1016/j.acap.2016.09.009
Pubmed ID
Authors

Matthew F. Daley, Liza M. Reifler, Eric S. Johnson, Alan R. Sinaiko, Karen L. Margolis, Emily D. Parker, Louise C. Greenspan, Joan C. Lo, Patrick J. O'Connor, David J. Magid

Abstract

To develop a model to predict hypertension risk among children with incident elevated blood pressure (BP); to test the external validity of the model. A retrospective cohort study was conducted in 3 organizations: Kaiser Permanente Colorado was the model derivation site; HealthPartners of Minnesota and Kaiser Permanente Northern California served as external validation sites. During study years 2006 through 2012, all children aged 3 through 17 years with incident elevated BP in an outpatient setting were identified. The predictor variables were demographic and clinical characteristics collected during routine care. Cox proportional hazards regression was used to predict subsequent hypertension, and diagnostic statistics were used to assess model performance. Among 5598 subjects at the derivation site with incident elevated BP, 160 (2.9%) developed hypertension during the study period. Eight characteristics were used to predict hypertension risk: age, sex, race, BP preceding incident elevated BP, body mass index percentile, systolic BP percentile, diastolic BP percentile, and clinical setting of the incident elevated BP. At the derivation site, the model discriminated well between those at higher versus lower risk of hypertension (c-statistic = 0.77). At external validation sites, the observed risk of hypertension was higher than the predicted risk, and the model showed poor discrimination (c-statistic ranged from 0.64 to 0.67). Among children with incident elevated BP, a risk model demonstrated good internal validity with respect to predicting subsequent hypertension. However, the risk model did not perform well at 2 external validation sites, which might limit transportability to other settings.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 57 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 6 11%
Student > Master 5 9%
Student > Ph. D. Student 4 7%
Other 3 5%
Student > Doctoral Student 2 4%
Other 9 16%
Unknown 28 49%
Readers by discipline Count As %
Medicine and Dentistry 8 14%
Social Sciences 4 7%
Nursing and Health Professions 4 7%
Pharmacology, Toxicology and Pharmaceutical Science 2 4%
Sports and Recreations 2 4%
Other 6 11%
Unknown 31 54%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 15 March 2017.
All research outputs
#17,289,387
of 25,382,440 outputs
Outputs from Academic Pediatrics
#1,219
of 1,657 outputs
Outputs of similar age
#210,043
of 323,958 outputs
Outputs of similar age from Academic Pediatrics
#30
of 41 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,657 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.7. This one is in the 17th percentile – i.e., 17% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 323,958 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.