NDLI: Predicting acute hypotensive episodes from mean arterial pressure

Content Provider	IEEE Xplore Digital Library
Author	Langley, P. King, S.T. Zheng, D. Bowers, E.J. Wang, K. Allen, J. Murray, A.
Copyright Year	2009
Description	Author affiliation: Freeman Hospital, Newcastle upon Tyne, UK (King, S.T.; Bowers, E.J.; Allen, J.) \|\| Newcastle University, Newcastle upon Tyne, UK (Langley, P.; Zheng, D.; Wang, K.; Murray, A.)
Abstract	Acute hypotensive episodes (AHE) are serious clinical events in intensive care units. We present an algorithm for automated computer prediction of AHE in patients using mean arterial pressure (MAP). We defined an AHE index based on the observation that patients with documented AHE experienced more transient reductions in MAP compared to those without AHE. The algorithm was developed and tested using the PhysioNet/Computers in Cardiology Challenge 2009 data sets. The algorithm, which classifies records with at least one occurrence of a reduction in MAP to 65 mmHg for at least 75% of a 30 minute window as AHE positive, correctly classified 8 out of 10 records in test set A and 28/40 records in test set B. Using MAP alone the algorithm achieved modest accuracy for prediction of AHE in patients. The algorithm could be improved by taking account of temporal changes in MAP.
Starting Page	553
Ending Page	556
File Size	116670
Page Count	4
File Format	PDF
ISBN	9781424472819
ISSN	02766547
e-ISBN	9781424472826
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-09-13
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Computers in Cardiology(CinC)
Subject Keyword	Blood pressure Testing Cardiology Predictive models Algorithm design and analysis Hospitals Accuracy Application software Computer applications Computer networks
Content Type	Text
Resource Type	Article

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