Exploring Predictors of Complication in Older Surgical Patients: A Deficit Accumulation Index and the Braden Scale

Objectives To determine whether readily collected perioperative information might identify older surgical patients at higher risk of complications. Design Retrospective cohort study. Setting Medical chart review at a single academic institution. Participants One hundred two individuals aged 65 and older who underwent abdominal surgery between January 2007 and December 2009. Measurements Primary predictor variables were first postoperative Braden Scale score (within 24 similar to hours of surgery) and a Deficit Accumulation Index (DAI) constructed based on 39 available preoperative variables. The primary outcome was presence or absence of complication within 30 similar to days of surgery. Results Of 102 patients, 64 experienced at least one complication, with wound infection being the most common. In models adjusted for age, race, sex, and open versus laparoscopic surgery, lower Braden Scale scores were predictive of 30-day postoperative complication (odds ratio (OR)similar to=similar to 1.30, 95% confidence interval (CI)similar to=similar to 1.061.60), longer length of stay (beta similar to=similar to 1.44 (0.25) days; P similar to=similar to.001), and discharge to an institution rather than home (OR similar to=similar to 1.23, 95% CI similar to=similar to 1.021.48). The cut-off value for the Braden score with the highest predictive value for complication was similar to=similar to 18 (OR similar to=similar to 3.63, 95% CI similar to=similar to 1.439.19; c statistic 0.744). The DAI and several traditional surgical risk factors were not significantly associated with 30-day postoperative complications. Conclusion This is the first study to identify the perioperative Braden Scale score, a widely used risk-stratifier for pressure ulcers, as an independent predictor of other adverse outcomes in geriatric surgical patients. Further studies are needed to confirm this finding and to investigate other uses for this tool, which correlates well to phenotypic models of frailty.