Linked Life Data

9988015

Source:http://linkedlifedata.com/resource/pubmed/id/9988015

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:dateCreated
1999-4-13
pubmed:abstractText
Measuring QT intervals in individual children is of great importance, particularly in view of increasing evidence linking long QT syndrome to subsequent risk for sudden death. Three hundred seventy-three healthy subjects, 185 women and 188 men, aged 5.2 to 16.5 years, were investigated with a 12-lead-standard electrocardiogram (ECG). Values for predicted QTp50 and QTp95 (percentiles) were calculated by using the cycle length (RR interval [RRI]) and the measured QT interval. We used multiple regression analysis to test the influence of possible important variables and the resulting data were used to generate tables. Additionally, predicted QTp values were compared to QTc values after Bazett's correction. RRI, body height, age, and sex turned out to influence the QTp values most. For clinical use, data are presented in tabular form by RRI and age for both genders. The tables are of great clinical value in predicting the upper limits of normal QTp95 for individual children. Bazett's correction tends to underestimate the values found in our data when heart rate increases.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:issn
0022-0736
pubmed:author
pubmed:issnType
Print
pubmed:volume
31 Suppl
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
121-5
pubmed:dateRevised
2009-11-11
pubmed:meshHeading
pubmed:year
1998
pubmed:articleTitle
Prediction of normal QT intervals in children.
pubmed:affiliation
Department of Pediatric Cardiology, Children's Hospital, University of Heidelberg, Germany.
pubmed:publicationType
Journal Article, Comparative Study