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Advanced Poincaré plot analysis differentiates between hypertensive pregnancy disorders.
MedLine Citation:
PMID:  21896969     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
Hypertensive pregnancy disorders affect 6% to 8% of all pregnancies and can result in severe complications for the mother and the foetus of which pre-eclampsia (PE) has the worst perinatal outcome. Several studies suggested that the autonomic nervous system plays an important role in the process of developing hypertensive pregnancy disorders, especially PE. The aim of this retrospective study was to investigate whether women with PE could be differentiated from women with various other hypertensive pregnancy disorders, by employing an enhanced Poincaré plot analysis (PPA), the segmented Poincaré plot analysis (SPPA), to their beat-to-beat interval and blood pressure signals. Sixty-nine pregnant women with hypertensive disorders (29 PE, 40 with chronic or gestational hypertension) were included. The SPPA as well as the traditional PPA found significant differences between PE and other hypertensive disorders of diastolic blood pressure (p < 0.001 versus p < 0.001) but only the SPPA method revealed significant differences (p < 0.001) also of the systolic blood pressure. Further on, linear discrimination analysis demonstrated that indices derived from SPPA are more suitable for differentiation between chronic and gestational hypertension and PE than those from traditional PPA (area under the ROC curve 0.85 versus 0.69). Therefore this procedure could contribute to the differential diagnosis of hypertensive pregnancy disorders.
Authors:
A Seeck; M Baumert; C Fischer; A Khandoker; R Faber; A Voss
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2011-9-06
Journal Detail:
Title:  Physiological measurement     Volume:  32     ISSN:  1361-6579     ISO Abbreviation:  -     Publication Date:  2011 Sep 
Date Detail:
Created Date:  2011-9-7     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9306921     Medline TA:  Physiol Meas     Country:  -    
Other Details:
Languages:  ENG     Pagination:  1611-1622     Citation Subset:  -    
Affiliation:
Department of Medical Engineering and Biotechnology, University of Applied Sciences Jena, Jena, Germany.
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