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J Am Coll Surg ; 204(2): 209-215, 2007 Feb.
Article in English | MEDLINE | ID: mdl-17254924

ABSTRACT

BACKGROUND: The pulmonary artery catheter (PAC) has been fraught with controversy over issues of safety and impact on outcomes variables for many years. Multiple attempts to quantify the utility of this diagnostic instrument have failed to resolve the matter. Previous investigations have focused on either quantifying inter-rater variability of waveform output interpretation from PACs or on clinical outcomes when PACs are used in care. We tested the hypothesis that the true link between a diagnostic tool and outcomes is treatment selection, and an instrument that minimizes or eliminates the need for data interpretation would also minimize the variability of treatment selections. STUDY DESIGN: We performed a prospective, single institutional, single blinded survey study. RESULTS: The inter-rater variability of waveform interpretation among all raters was notable (p < 0.01); for continuous end diastolic volume index interpretation, there was no notable inter-rater variability (p=1.0). Inter-rater variability of treatment selections based on waveform interpretation was notable for all raters (p < 0.01). Continuous end diastolic volume index data presentation of hemodynamic status did not result in notable inter-rater variability in treatment selections (p=0.10). Treatment choices based on continuous end diastolic volume index among raters with 5 or more years of experience are not different from clinical practice guideline-directed choices (p > 0.05), independent of patient ventilator status. CONCLUSIONS: Digital output volumetric PACs eliminate inter-rater variability of data interpretation, decrease inter-rater variability of data-driven treatment selections, and improve rater agreement with clinical practice guidelines when compared with traditional waveform output PACs.


Subject(s)
Cardiac Output/physiology , Catheterization, Swan-Ganz/instrumentation , Decision Making , Catheterization, Swan-Ganz/statistics & numerical data , Choice Behavior , Critical Care , Guideline Adherence , Humans , Observer Variation , Patient Care Planning , Prospective Studies , Pulmonary Wedge Pressure/physiology , Respiration , Respiration, Artificial , Signal Processing, Computer-Assisted , Single-Blind Method , Workforce
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