A simple model for predicting postoperative delirium in older patients undergoing elective orthopedic surgery.
OBJECTIVE
To determine the incidence, and severity of postoperative delirium (POD) in older patients undergoing elective orthopedic procedures and to identify potential preoperative risk factors.


METHODS
A prospectively studied cohort of elective orthopedic surgery patients.


METHODS
A University teaching hospital.


METHODS
Eighty patients who attended a preadmission clinic and, subsequently, underwent elective orthopedic surgery. All patients were aged 60 years or older, and all spoke English.


METHODS
Patients underwent preoperative medical, cognitive, and activities of daily living assessment with standardized instruments and were followed postoperatively with daily visits, telephone interviews with attending nurses using a modified confusion assessment model (CAM), and repeated cognitive testing. Suspected delirium was verified by direct physician assessment.


RESULTS
The elective group had 14 (17.5%) cases of POD, of which six (7.5%) were severe. These incidences are low compared with those of nonelective surgery groups reported elsewhere in the literature. Stepwise multiple logistic regression identified two POD risk factors: clock-drawing scores < or = 6 (OR = 9.0, CI, 2.8 to 45.6) and male gender (OR = 5.6, CI 1.9 to 33.8).


CONCLUSIONS
A simple model using clock-drawing scores and male gender for preoperative identification of elective patients at greatest risk for POD appears sensitive, predictive, and practical for the preadmission clinic setting, but it should be validated in a prospective trial.
Fisher
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BW
Division of General Internal Medicine, University of Alberta, Edmonton, Canada.
Flowerdew
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D000368:Aged; D015331:Cohort Studies; D003693:Delirium / Q000175:diagnosis*; D017558:Elective Surgical Procedures; D005260:Female; D015577:Geriatric Assessment; D006801:Humans; D007406:Interview, Psychological; D008297:Male; D016017:Odds Ratio; D009985:Orthopedics; D011183:Postoperative Complications / Q000175:diagnosis*; D011237:Predictive Value of Tests; D011446:Prospective Studies; D011581:Psychological Tests; D012307:Risk Factors; D012680:Sensitivity and Specificity