Document Detail

An 'admission challenge test' to predict severe hypertension in pregnancy?
MedLine Citation:
PMID:  2311817     Owner:  NLM     Status:  MEDLINE    
Although many pregnant women are admitted to hospital for 'high blood pressure' during the third trimester, less than a third of them will subsequently develop severe hypertension. We used a Dinamap 1846 vital signs monitor to measure the blood pressure every 5 min during the first hour in hospital of a group of 51 previously normotensive pregnant women admitted with hypertension. An average systolic pressure at or above 140 mmHg was recorded in 37% of patients and, of these, 68% went on to develop severe hypertension. Conversely, if the average systolic pressure on admission was below 140 mmHg, only 3% of patients later developed severe hypertension. In terms of sensitivity, specificity, and positive and negative predictive values of severe hypertension, the 1-hour automated blood pressure profile was superior to conventional measurements whether they were made prior to admission, on admission, or during the first 24 hours after admission.
P Mooney; K J Dalton
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  European journal of obstetrics, gynecology, and reproductive biology     Volume:  35     ISSN:  0301-2115     ISO Abbreviation:  Eur. J. Obstet. Gynecol. Reprod. Biol.     Publication Date:  1990 Apr 
Date Detail:
Created Date:  1990-04-26     Completed Date:  1990-04-26     Revised Date:  2004-11-17    
Medline Journal Info:
Nlm Unique ID:  0375672     Medline TA:  Eur J Obstet Gynecol Reprod Biol     Country:  NETHERLANDS    
Other Details:
Languages:  eng     Pagination:  41-9     Citation Subset:  IM    
Department of Obstetrics & Gynaecology, University of Cambridge, Rosie Maternity Hospital, U.K.
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MeSH Terms
Blood Pressure Determination / methods
Blood Pressure Monitors
Hospitalization / economics
Hypertension / diagnosis*
Patient Admission
Pilot Projects
Predictive Value of Tests
Pregnancy Complications, Cardiovascular / diagnosis*

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