Simple Preoperative Patient-Reported Factors Predict Adverse Outcome After Elective Cranial Neurosurgery.

Abstract

Patient-reported preoperative factors hold promise in improving the prediction of postoperative adverse events, but they have been poorly studied. To study the role of patient-reported factors in the preoperative risk stratification of elective craniotomy patients. A prospective, unselected cohort of 322 adult patients underwent elective craniotomy in Helsinki, Finland. We preoperatively recorded the American Society of Anesthesiologists (ASA) score, Helsinki ASA score, and 3 questionnaire-based patient-reported factors including overall health status, ability to climb 2 flights of stairs, and cognitive function (Test Your Memory test). Outcome measures comprised in-hospital major and overall morbidity. Receiver-operating characteristic curves served to calculate area under the curve (AUC) values for a composite score of patient-reported factors and both ASA scores with regard to outcomes. In-hospital major and overall morbidity rate was 15.2%. Only preoperatively diminished cognitive function remained a significant predictor of major morbidity after multivariable logistic regression analysis (P < .001, odds ratio 1.1, confidence interval 1.0-1.1). A composite score of our 3 patient-reported factors had a higher AUC (0.675) for major morbidity than original ASA score (0.543) or Helsinki ASA score (0.572). In elderly patients, the composite score had an AUC of 0.726 for major morbidity. Preoperative patient-reported factors had higher sensitivity for detecting major morbidity compared to the ASA scores in this study. Particularly, the simple composite score seems to predict adverse outcomes in elective cranial surgery surprisingly well, especially in the elderly. These results are interesting and worth confirming in other centers.