Literature DB >> 12655395

A computer program for interpreting pulmonary artery catheterization data: results of the European HEMODYN Resident Study.

Pierre Squara1, Etienne Fourquet, Luc Jacquet, Alain Broccard, Thomas Uhlig, Andrew Rhodes, Jan Bakker, Claude Perret.   

Abstract

We previously validated an expert computer program (Hemodyn) designed to assist in interpreting pulmonary artery catheterization data. The present multicentric study assessed the influence of Hemodyn on the therapeutic strategies of residents. Each resident made several diagnostic choices and suggested appropriate treatments based on pulmonary artery catheterization (PAC) data. After knowledge of the computer interpretation, the resident could either maintain or change his or her diagnosis and treatment under a senior supervision. Agreement between the residents' initial evaluation and the computer's was poor (kappa <0.6). After computer assistance, agreement improved dramatically (kappa >0.9). Computer assistance led the residents to change at least one suggested treatment in 63% of cases, and in 8% of cases the residents changed the initial suggestion to its opposite. Expert software capable of helping residents to interpret PAC data properly may improve the quality of care given to critically ill patients.

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Year:  2003        PMID: 12655395     DOI: 10.1007/s00134-003-1721-3

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


  27 in total

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Review 3.  Pulmonary Artery Catheter Consensus conference: consensus statement.

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Journal:  Crit Care Med       Date:  1997-06       Impact factor: 7.598

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Journal:  Anesthesiology       Date:  1993-02       Impact factor: 7.892

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Journal:  Intensive Care Med       Date:  1995-04       Impact factor: 17.440

Review 7.  Right heart catheterization at bedside: a critical view.

Authors:  F Jardin; J P Bourdarias
Journal:  Intensive Care Med       Date:  1995-04       Impact factor: 17.440

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Journal:  Arch Surg       Date:  1980-10

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Journal:  N Engl J Med       Date:  1976-12-09       Impact factor: 91.245

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Authors:  A F Connors; T Speroff; N V Dawson; C Thomas; F E Harrell; D Wagner; N Desbiens; L Goldman; A W Wu; R M Califf; W J Fulkerson; H Vidaillet; S Broste; P Bellamy; J Lynn; W A Knaus
Journal:  JAMA       Date:  1996-09-18       Impact factor: 56.272

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  6 in total

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Journal:  Intensive Care Med       Date:  2004-06-15       Impact factor: 17.440

2.  Fluid responsiveness predicted by noninvasive bioreactance-based passive leg raise test.

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3.  Tracking changes in cardiac output: methodological considerations for the validation of monitoring devices.

Authors:  Pierre Squara; Maurizio Cecconi; Andrew Rhodes; Mervyn Singer; Jean-Daniel Chiche
Journal:  Intensive Care Med       Date:  2009-07-11       Impact factor: 17.440

4.  A data-driven approach to optimized medication dosing: a focus on heparin.

Authors:  Mohammad M Ghassemi; Stefan E Richter; Ifeoma M Eche; Tszyi W Chen; John Danziger; Leo A Celi
Journal:  Intensive Care Med       Date:  2014-08-05       Impact factor: 17.440

5.  Toward intelligent hemodynamic monitoring: a functional approach.

Authors:  Pierre Squara; Carl Waldmann
Journal:  Cardiol Res Pract       Date:  2011-07-26       Impact factor: 1.866

Review 6.  Metrology in medicine: from measurements to decision, with specific reference to anesthesia and intensive care.

Authors:  Pierre Squara; Michael Imhoff; Maurizio Cecconi
Journal:  Anesth Analg       Date:  2015-01       Impact factor: 6.627

  6 in total

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