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Establishing an association between a peri-operative perfusion score system (PerfSCORE) and post-operative patient morbidity/mortality during CPB cardiac surgery

Department of Cardiovascular Surgery, Centre Hospitalier Universitaire Vaudois (CHUV), Lausanne, Switzerland

Jean-Pierre Revelly

Surgical Intensive Care Unit, University Hospital CHUV, Lausanne, Switzerland

Judith Horisberger

Department of Cardiovascular Surgery, Centre Hospitalier Universitaire Vaudois (CHUV), Lausanne, Switzerland

Ludwig K. von Segesser

Department of Cardiovascular Surgery, Centre Hospitalier Universitaire Vaudois (CHUV), Lausanne, Switzerland

Patrick Ruchat

Department of Cardiovascular Surgery, Centre Hospitalier Universitaire Vaudois (CHUV), Lausanne, Switzerland

Background. To date, there is no quality assurance program that correlates patient outcome to perfusion service provided during cardiopulmonary bypass (CPB). A score was devised, incorporating objective parameters that would reflect the likelihood to influence patient outcome. The purpose was to create a new method for evaluating the quality of care the perfusionist provides during CPB procedures and to deduce whether it predicts patient morbidity and mortality. Methods. We analysed 295 consecutive elective patients. We chose 10 parameters: fluid balance, blood transfused, Hct, ACT, PaO₂, PaCO₂, pH, BE, potassium and CPB time. Distribution analysis was performed using the Shapiro-Wilcoxon test. This made up the PerfSCORE and we tried to find a correlation to mortality rate, patient stay in the ICU and length of mechanical ventilation. Univariate analysis (UA) using linear regression was established for each parameter. Statistical significance was established when p < 0.05. Multivariate analysis (MA) was performed with the same parameters. Results. The mean age was 63.8 ± 12.6 years with 70% males. There were 180 CABG, 88 valves, and 27 combined CABG/valve procedures. The PerfSCORE of 6.6 ± 2.4 (0—20), mortality of 2.7% (8/295), CPB time 100 ± 41 min (19—313), ICU stay 52 ± 62hrs (7—564) and mechanical ventilation of 10.5 ± 14,8hrs (0—564) was calculated. CPB time, fluid balance, PaO₂, PerfSCORE and blood transfused were significantly correlated to mortality (UA, p < 0.05). Also, CPB time, blood transfused and PaO₂ were parameters predicting mortality (MA, p < 0.01). Only pH was significantly correlated for predicting ICU stay (UA). Ultrafiltration (UF) and CPB time were significantly correlated (UA, p < 0.01) while UF (p < 0.05) was the only parameter predicting mechanical ventilation duration (MA). Conclusions. CPB time, blood transfused and PaO ₂ are independent risk factors of mortality. Fluid balance, blood transfusion, PaO₂, PerfSCORE and CPB time are independent parameters for predicting morbidity. PerfSCORE is a quality of perfusion measure that objectively quantifies perfusion performance. Perfusion (2007) 22, 311—316.

Perfusion, Vol. 22, No. 5, 311-316 (2007)
DOI: 10.1177/0267659107084524


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