Toggle Main Menu Toggle Search

Open Access padlockePrints

Predicting acute hypotensive episodes from mean arterial pressure

Lookup NU author(s): Dr Philip Langley, Susan King, Dr Ding Chang Zheng, Emma Bowers, Professor John AllenORCiD, Emeritus Professor Alan MurrayORCiD


Full text for this publication is not currently held within this repository. Alternative links are provided below where available.


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.

Publication metadata

Author(s): Langley P, King S, Zheng D, Bowers E, Wang K, Allen J, Murray A

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: 36th Annual Computers in Cardiology Conference (CINC)

Year of Conference: 2009

Pages: 553-556

ISSN: 0276-6574

Publisher: IEEE


Library holdings: Search Newcastle University Library for this item

ISBN: 9781424472819