Incidence and precipitating factors of delirium after coronary artery bypass grafting.
OBJECTIVE
To analyze large contemporary patient population, undergoing on-pump coronary artery bypass grafting at our institution, and identify the prevalence and precipitating factors of delirium development.


METHODS
Baseline demographics, operative data and postoperative outcomes of 1367 consecutive patients were recorded prospectively and analysed using multivariate logistic regression analysis, to determine independent predictors of postoperative delirium development.


RESULTS
Delirium was detected in 42 (3.07%) patients. Eight factors: age more than 65 years, peripheral vascular disease, Euroscore>/=5, preoperative IABP support, postoperative blood product usage and postoperative low cardiac output syndrome were independently predicting delirium development after coronary artery bypass procedures. Postoperative delirium was associated with significantly higher mortality rate (16.6% vs. 3.9%, p=0.013), prolonged mechanical ventilation time (9.2+/-3.1 vs. 5.05+/-7.6, p=0.04) and increased length of intensive care unit stay (6.8+/-4.9 vs. 2.0+/-2.7 days, p=0.001).


CONCLUSIONS
Delirium is a dangerous complication, prolonging intensive care unit stay and postoperative mortality. Factors associated with delirium development are advanced age, peripheral vascular disease, diminished cardiac function and blood product usage.
Norkiene
Ieva
I
Center of Anaesthesia, Intensive Care and Pain Management, Vilnius University Hospital, Santariskiu Clinics, Vilnius, Lithuania. ievanork@gmail.com
Ringaitiene
Donata
D
Misiuriene
Irina
I
Samalavicius
Robertas
R
Bubulis
Rimas
R
Baublys
Alis
A
Uzdavinys
Giedrius
G
D000367:Age Factors; D000368:Aged; D001803:Blood Transfusion / Q000706:statistics & numerical data; D002303:Cardiac Output, Low / Q000150:complications / Q000453:epidemiology; D002315:Cardiopulmonary Bypass; D001026:Coronary Artery Bypass / Q000009:adverse effects*; D003693:Delirium / Q000453:epidemiology* / Q000209:etiology* / Q000401:mortality; D005260:Female; D006801:Humans; D015994:Incidence; D007362:Intensive Care Units / Q000706:statistics & numerical data; D007902:Length of Stay / Q000706:statistics & numerical data; D008097:Lithuania / Q000453:epidemiology; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D016017:Odds Ratio; D016491:Peripheral Vascular Diseases / Q000150:complications / Q000453:epidemiology; D012107:Research Design; D012121:Respiration, Artificial / Q000706:statistics & numerical data; D012189:Retrospective Studies; D018570:Risk Assessment; D012307:Risk Factors; D012720:Severity of Illness Index; D013577:Syndrome