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Use of the INVENT system for standardized quantification of clinical preferences towards mechanical ventilation. C Allerød 1,2 , DS Karbing 1 , P Thorgaard 2 , S Andreassen 1 , S Kjærgaard 2 , SE Rees 1. 1 : Center for Model-based Medical Decision Support, Aalborg University, Denmark
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Use of the INVENT system for standardized quantification of clinical preferences towards mechanical ventilation C Allerød1,2,DS Karbing1, P Thorgaard2, S Andreassen1, S Kjærgaard2, SE Rees1 1: Center for Model-based Medical Decision Support, Aalborg University, Denmark 2: Anaesthesia and Intensive Care, Region North Jutland, Aalborg Hospital, Aarhus University, Denmark
Introduction The ARDS Network. N Engl J Med 2000; 342:1301-8. Young et al. Crit Care Med 2004; 32:1260-5. Esteban et al. Am J respir Crit Care Med 2008; 177:170-7 • Several RCTs indicate that low tidal volumes are beneficial in mechanically ventilated patients • Large variability in ventilator settings are still seen in the ICU • But how well do physicians agree when presented to identical patients?
Using INVENT for quantifying preferences • INVENT: Model-based decision support system for mechanical ventilation • Advice on FiO2, Vt and f. J Clin Monit Comput 2006; 20:421-9. J Crit Care 2010; 25:367-74.
Research questions What is the variability in physicians’ preferences in the same patient? What are physicians’ opinion about other physicians’ advice? What are the physicians’ opinion about INVENT’s advice?
Methods • Included 10 senior ICU physicians, representing the 4 Danish University Hospitals • 10 real patient cases, presented in random order • Reflecting range of respiratory, circulatory and metabolic status in patients with ALI/ARDS • Asked to set FiO2, Vt and f • Assuming correct PEEP and I:E ratio, 70 kg body weight and that model simulations were correct • Evaluated and ranked other physicians’, and INVENT’s advice (blinded, and in random case order)
Results What is the variability in physicians’ preferences in the same patient? Example: Vt
Variability in physicians’ preferences 8 ml/kg 6 ml/kg
Variability in physicians’ preferences 8 ml/kg 6 ml/kg
Results What is the variability in physicians’ preferences in the same patient? Example: Vt What are physicians’ opinion about other physicians’ advice?
Results What is the variability in physicians’ preferences in the same patient? Example: Vt What are physicians’ opinion about other physicians’ advice? What are the physicians’ opinion about INVENT’s advice?
Conclusions • Physiological models may be a beneficial tool for quantifying clinical preferences • Separate variation in preference from variation in patient pathophysiology
Conclusions • Physiological models may be a beneficial tool for quantifying clinical preferences • Separate variation in preference from variation in patient pathophysiology • Large variability found in physicians’ preferences towards appropriate levels of Vt, FiO2, f, PIP, SaO2 and pH
Conclusions • Physiological models may be a beneficial tool for quantifying clinical preferences • Separate variation in preference from variation in patient pathophysiology • Large variability found in physicians’ preferences towards appropriate levels of Vt, FiO2, f, PIP, SaO2 and pH • When a physician’s advice was evaluated by other physicians, a third were found unacceptable
Conclusions • Physiological models may be a beneficial tool for quantifying clinical preferences • Separate variation in preference from variation in patient pathophysiology • Large variability found in physicians’ preferences towards appropriate levels of Vt, FiO2, f, PIP, SaO2 and pH • When a physician’s advice was evaluated by other physicians, a third were found unacceptable • INVENT ranked third best, evaluated similar to physicians • Prospective testing is necessary