Demographic and clinical characteristics of patients undergoing coronary artery bypass graft surgery and their relation to mortality.
OBJECTIVE
To describe the demographic and clinical characteristics and to test their relation to mortality in patients undergoing to coronary artery bypass graft surgery (CABG).


METHODS
It is a retrospective study developed from the medical records of 655 patients undergoing CABG from May 2002 to April 2010.


RESULTS
Hospital mortality was 12.1%. Mortality was significantly (P<0.05) higher in females (17.3%), aged less than 70 years (22.8%), in emergency surgery (36.4%), in cases of readmission to the intensive care unit (ICU) (33.3%), when the stay in the ICU was less than three days (16.3%), undergoing longer cardiopulmonary bypass (CPB) and with more comorbidities (15.4%). Predictor variables of death identified with logistic regression analysis were: female (OR=2.04), age >70 years (OR=2.69), emergency surgery (OR=15.43) and urgency (OR=3.81), performance of CPB (OR=2.19) and re-admission to the ICU (OR=4.33).


CONCLUSIONS
Variables such as gender, age, type of surgery, readmission to the ICU, ICU stay, comorbidities and time of CPB influence the outcome death in patients undergoing to CABG. Thus, such aspects should be considered to reduce hospital mortality in patients undergoing such surgery.
Hans Dieter Schmidt Regional Hospital, Intensive Care Unit, Joinville-SC, Brasil.
Eduardo Lafaiette de
EL
Oliveira
Glauco Adrieno
GA
Westphal
Marco Fabio
MF
Mastroeni
D000328:Adult; D000368:Aged; D002315:Cardiopulmonary Bypass / Q000009:adverse effects*; D001026:Coronary Artery Bypass / Q000401:mortality*; D004638:Emergency Treatment / Q000706:statistics & numerical data*; D004812:Epidemiologic Methods; D005260:Female; D017052:Hospital Mortality; D006801:Humans; D007362:Intensive Care Units / Q000706:statistics & numerical data*; D007902:Length of Stay / Q000706:statistics & numerical data*; D008297:Male; D008875:Middle Aged; D010351:Patient Discharge; D012307:Risk Factors; D013997:Time Factors