Literature DB >> 6715679

Preliminary studies in the identification of cardiac status in a cardiac surgical intensive therapy unit.

A D Crew, K D Stoodley, F Naghdy, G D Unsworth.   

Abstract

Sets of the most commonly monitored cardiovascular data have been collected retrospectively in four categories of patients following cardiac surgery: survivors and non-survivors with and without inotropic support. A data set was recorded in the surviving categories when the patient had achieved an optimum cardiovascular state, and in the nonsurviving categories 2 h before death. Three statistical methods of discriminating between the categories are compared. The best discriminants of cardiovascular status are peripheral skin temperature, mean arterial blood pressure, and urine output; there is little to be gained by using more than three variables. A method is suggested of reducing the relevant information in cardiovascular data to a single variable which can be used to predict future status.

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Mesh:

Year:  1984        PMID: 6715679     DOI: 10.1007/bf00297561

Source DB:  PubMed          Journal:  Intensive Care Med        ISSN: 0342-4642            Impact factor:   17.440


  3 in total

1.  Reduction of unexpected, life-threatening events in postoperative cardiac surgical patients; the role of computerized surveillance.

Authors:  R A Jurado; H L Fitzkee; R A de Asla; S B Lukban; R S Litwak; J J Osborn
Journal:  Circulation       Date:  1977-09       Impact factor: 29.690

2.  Observations on central and peripheral temperatures in the understanding and management of shock.

Authors:  B A Ross; L Brock; A Aynsley-Green
Journal:  Br J Surg       Date:  1969-12       Impact factor: 6.939

3.  Intracardiac surgery in infants under age 3 months: incremental risk factors for hospital mortality.

Authors:  J K Kirklin; E H Blackstone; J W Kirklin; R McKay; A D Pacifico; L M Bargeron
Journal:  Am J Cardiol       Date:  1981-09       Impact factor: 2.778

  3 in total
  5 in total

1.  Central station data displays: an experimental evaluation of observer performance. Part 2: Factors affecting performance, and a comparison of analogue and digital data.

Authors:  A D Crew; S Old; A Craig; G D Unsworth; P C Fletcher
Journal:  Intensive Care Med       Date:  1989       Impact factor: 17.440

2.  Central station data displays: an experimental evaluation of observer performance. Part 1: Number of displays and observation time.

Authors:  A D Crew; S Old; A Graig; G D Unsworth; P C Fletcher
Journal:  Intensive Care Med       Date:  1989       Impact factor: 17.440

3.  A sampling study of bedside nursing activity in a cardiac surgical intensive care unit. Part 2. The effect of time and shift on the nursing workload.

Authors:  A D Crew; K D Stoodley; S Old; G D Unsworth; M J Thompson
Journal:  Intensive Care Med       Date:  1987       Impact factor: 17.440

4.  A sampling study of bedside nursing activity in a cardiac surgical intensive care unit. Part 1: Analysis of the elements of activity in the nursing workload, and its variation with patient age group and pathology.

Authors:  A D Crew; K D Stoodley; S Old; G D Unsworth; W N Martin; K Kincaid
Journal:  Intensive Care Med       Date:  1987       Impact factor: 17.440

5.  Preliminary clinical trials of a computer-based cardiac arrest alarm.

Authors:  A D Crew; K D Stoodley; R Lu; S Old; M Ward
Journal:  Intensive Care Med       Date:  1991       Impact factor: 17.440

  5 in total

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