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Complex systems and the technology of variability analysis.
Seely, Andrew J E; Macklem, Peter T.
Afiliação
  • Seely AJ; Thoracic Surgery and Critical Care Medicine, University of Ottawa, Ottawa, Ontario, Canada. aseely@ottawahospital.on.ca
Crit Care ; 8(6): R367-84, 2004 Dec.
Article em En | MEDLINE | ID: mdl-15566580
ABSTRACT
Characteristic patterns of variation over time, namely rhythms, represent a defining feature of complex systems, one that is synonymous with life. Despite the intrinsic dynamic, interdependent and nonlinear relationships of their parts, complex biological systems exhibit robust systemic stability. Applied to critical care, it is the systemic properties of the host response to a physiological insult that manifest as health or illness and determine outcome in our patients. Variability analysis provides a novel technology with which to evaluate the overall properties of a complex system. This review highlights the means by which we scientifically measure variation, including analyses of overall variation (time domain analysis, frequency distribution, spectral power), frequency contribution (spectral analysis), scale invariant (fractal) behaviour (detrended fluctuation and power law analysis) and regularity (approximate and multiscale entropy). Each technique is presented with a definition, interpretation, clinical application, advantages, limitations and summary of its calculation. The ubiquitous association between altered variability and illness is highlighted, followed by an analysis of how variability analysis may significantly improve prognostication of severity of illness and guide therapeutic intervention in critically ill patients.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Estado Terminal / Modelos Biológicos / Monitorização Fisiológica Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2004 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Estado Terminal / Modelos Biológicos / Monitorização Fisiológica Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2004 Tipo de documento: Article