Erschienen in:
01.09.2013 | Original
The ETHICA study (part II): simulation study of determinants and variability of ICU physician decisions in patients aged 80 or over
verfasst von:
M. Garrouste-Orgeas, A. Tabah, A. Vesin, F. Philippart, A. Kpodji, C. Bruel, C. Grégoire, A. Max, J. F. Timsit, B. Misset
Erschienen in:
Intensive Care Medicine
|
Ausgabe 9/2013
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Abstract
Purpose
To assess physician decisions about ICU admission for life-sustaining treatments (LSTs).
Methods
Observational simulation study of physician decisions for patients aged ≥80 years. Each patient was allocated at random to four physicians who made decisions based on actual bed availability and existence of an additional bed before and after obtaining information on patient preferences. The simulations involved non-invasive ventilation (NIV), invasive mechanical ventilation (IMV), and renal replacement therapy after a period of IMV (RRT after IMV).
Results
The physician participation rate was 100/217 (46 %); males without religious beliefs predominated, and median ICU experience was 9 years. Among participants, 85.7, 78, and 62 % felt that NIV, IMV, or RRT (after IMV) was warranted, respectively. By logistic regression analysis, factors associated with admission were age <85 years, self-sufficiency, and bed availability for NIV and IMV. Factors associated with IMV were previous ICU stay (OR 0.29, 95 % CI 0.13–0.65, p = 0.01) and cancer (OR 0.23, 95 % CI 0.10–0.52, p = 0.003), and factors associated with RRT (after IMV) were living spouse (OR 2.03, 95 % CI 1.04–3.97, p = 0.038) and respiratory disease (OR 0.42, 95 % CI 0.23–0.76, p = 0.004). Agreement among physicians was low for all LSTs. Knowledge of patient preferences changed physician decisions for 39.9, 56, and 57 % of patients who disagreed with the initial physician decisions for NIV, IMV, and RRT (after IMV) respectively. An additional bed increased admissions for NIV and IMV by 38.6 and 13.6 %, respectively.
Conclusions
Physician decisions for elderly patients had low agreement and varied greatly with bed availability and knowledge of patient preferences.