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Titolo:
Agent-based computer simulation and SIRS: Building a bridge between basic science and clinical trials
Autore:
An, G;
Indirizzi:
Cook Cty Hosp, Dept Trauma, Chicago, IL 60612 USA Cook Cty Hosp Chicago IL USA 60612 sp, Dept Trauma, Chicago, IL 60612 USA
Titolo Testata:
SHOCK
fascicolo: 4, volume: 16, anno: 2001,
pagine: 266 - 273
SICI:
1073-2322(200110)16:4<266:ACSASB>2.0.ZU;2-6
Fonte:
ISI
Lingua:
ENG
Soggetto:
ORGAN DYSFUNCTION SYNDROME; PHYSIOLOGICAL-STATE; CRITICAL ILLNESS; SEPTIC SHOCK; SEPSIS; INJURY; CLASSIFICATION; INFLAMMATION; SYSTEMS; BIOLOGY;
Keywords:
sepsis; computer simulation; mathematical modeling; complexity; multiple organ failure;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Clinical Medicine
Life Sciences
Citazioni:
53
Recensione:
Indirizzi per estratti:
Indirizzo: An, G Cook Cty Hosp, Dept Trauma, 1835 W Harrison St Rm 3241, Chicago, IL 60612 USA Cook Cty Hosp 1835 W Harrison St Rm 3241 Chicago IL USA 60612 12 USA
Citazione:
G. An, "Agent-based computer simulation and SIRS: Building a bridge between basic science and clinical trials", SHOCK, 16(4), 2001, pp. 266-273

Abstract

The management of Systemic Inflammatory Response Syndrome (SIRS)/Multiple Organ Failure (MOF) remains the greatest challenge in the field of criticalcare. There has been uniform difficulty in translating the results of basic science research into effective therapeutic regimes. We propose that thisis due in part to a failure to account for the complex, nonlinear nature of the inflammatory process of which SIRS/MOF represents a disordered state. Attempts to manipulate this process without an understanding of the dynamics of the system may potentially produce unintended consequences. Agent-Based Computer Simulation (ABCS) provides a means to synthesize the information acquired from the linear analysis of basic science into a model that preserves the complexity of the inflammatory system. We have constructed an abstracted version of the inflammatory process using an ABCS that is based at the cellular level. Despite its abstraction, the simulation produces non-linear behavior and reproduces the dynamic structure of the inflammatory response. Furthermore, adjustment of the simulation to model one of the unsuccessful initial anti-inflammatory trials of the 1990's demonstrates the adverse outcome that was observed in those clinical trials. It must be emphasized that the current model is extremely abstract and simplified. However, it is hoped that future ABCSs of sufficient sophistication eventually may provide an important bridging tool to translate basic science discoveries into clinical applications. Creating these simulations will require a large collaborative effort, and it is hoped that this paper will stimulate interest in this form of analysis.

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Documento generato il 20/01/20 alle ore 08:10:29