A Physiologic State Severity Classification (PSSC) derived from cluste
ring of 17 cardiorespiratory variables was used to predict cytokine re
sponse in critically ill posttrauma patients. The PSSC defined physiol
ogic states: A-State (A), normal stress response; B-State (B), metabol
ic insufficiency; C-2-State (C), respiratory insufficiency. Bayesian a
nalysis of these states defined a probability of death (P-death). 416
studies from 60 newly studied multiple trauma patients (70% males, Inj
ury Severity Score = 27.5) were analyzed; 45 (75%) had sepsis (s), 28
(47%) had sepsis-adult respiratory distress syndrome (s-ARDS). Of 35 s
urvivors (66% s, 37% s-ARDS, mean P-death =.42) 23% were predominantly
A, 66% B, and 11% C. Of 25 deaths (88% s, 60% s-ARDS, mean P-death =.
64) 0% were A, 44% B, and 56% C. PSSC States were correlated with inci
dence and mean-plasma levels (pl) in picograms/ml of cytokines. 23 sam
ples from recovering nonseptic trauma patients were used as controls.