Inscrição na biblioteca: Guest
Portal Digital Begell Biblioteca digital da Begell eBooks Diários Referências e Anais Coleções de pesquisa
Critical Reviews™ in Biomedical Engineering

ISSN Imprimir: 0278-940X
ISSN On-line: 1943-619X

Critical Reviews™ in Biomedical Engineering

DOI: 10.1615/CritRevBiomedEng.2014011124
pages 25-61

Modeling the Weaning of Intensive Care Unit Patients from Mechanical Ventilation: A Review

Mohammad Alam
Department of Computing and Software, McMaster University, 1280 Main Street West, Hamilton, ON, L8S 4K1, Canada
Graham Jones
Departments of Biology & Medicine, McMaster University, Hamilton, ON, L8S 4K1, Ontario, Canada
Wolfram Kahl
Departments of computing and software engineering, electrical and computer engineering, medicine and medical physics. McMaster University, and McMaster School of Biomedical Engineering, Hamilton ON, Canada
Markad V. Kamath
Department of Medicine, McMaster University, 1280 Main Street West, Hamilton, Ontario, L8N 3Z5 Canada

RESUMO

In the intensive care unit, mechanical ventilation is a life-saving procedure, and as many as 90% of patients require the intervention. For a mechanically ventilated patient, the principal goal of a health care team is to free the patient from mechanical ventilation through weaning as soon as possible. Weaning, however, still is mostly a manual process. To achieve quick and efficient weaning, the process is needs to be automated. The first step toward automating the weaning process is building a precise model of it. The path to achieving this precision in weaning modeling, if at all possible, is laden with challenges such as the use of imprecise terms, lack of evidence, complexities in data representation as well as process specification, and uncertainty in data values as well as their implication in process evaluation. This eventually leads to a lack of universally accepted and followed standards and guidelines. Despite the magnitude of these challenges, various weaning automations have been attempted through mathematical modeling or knowledge-based modeling. Some of these have been available as commercial mechanical ventilator modes since the 1990s. Even though much potential has been demonstrated through clinical trials, their infrequent usage indicates a lack of consensus concerning their applicability.