Aje. Seely et Nv. Christou, Multiple organ dysfunction syndrome: Exploring the paradigm of complex nonlinear systems, CRIT CARE M, 28(7), 2000, pp. 2193-2200
Objectives: The objectives of this article are to introduce and explore a n
ovel paradigm based on complex nonlinear systems, and to evaluate its appli
cation to critical care research regarding the systemic host response and m
ultiple organ dysfunction syndrome (MODS).
Data Sources: Published original work, review articles, scientific abstract
s and books, as well as our personal files.
Study Selection: Studies were selected for their relevance to the applicati
ons of nonlinear complex systems, to critical care medicine, and to the con
cepts presented.
Data Extraction: We extracted all applicable data.
Data Synthesis: Following a brief review of MODS, an introduction to comple
x nonlinear systems is presented, including clear concepts, definitions, an
d properties. By examining the multiple, nonlinear, interrelated, and varia
ble interactions between the metabolic, neural, endocrine, immune, and infl
ammatory systems; data regarding interconnected antibody networks; and the
redundant, nonlinear, interdependent nature of the inflammatory response, w
e present the hypothesis that the systemic host response to trauma, shock,
or sepsis must be evaluated as a complex nonlinear system. This model provi
des a new explanation for the failure of trials using various antimediator
therapies in the treatment of patients with sepsis and MODS. Understanding
the host response as a complex nonlinear system offers innovative means of
studying critical care patients, specifically by suggesting a greater focus
on systemic properties. We hypothesize that analysis of variability and co
nnectivity of individual variables offer a novel means of evaluating and di
fferentiating the systemic properties of a complex nonlinear system. curren
t applications of evaluating variability and connectivity are discussed, an
d insights regarding future research are offered.
Conclusion: The paradigm offered by the study of complex nonlinear systems
suggests new insights to pursue research to evaluate, monitor, and treat pa
tients with MOBS.