• Gregory Glauser, Eric Winter, Ian F Caplan, Stephen Goodrich, Scott D McClintock, Sindhu K Srinivas, and Neil R Malhotra.
• Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Silverstein Pavilion, 3400 Spruce St, 3rd Floor, Philadelphia, PA 19104. Email: Neil.Malhotra@pennmedicine.upenn.edu.
• Am J Manag Care. 2020 Jul 1; 26 (7): 303-309.

ObjectivesAssessment of the potential of LACE+ index scores in patients undergoing gynecologic surgery to predict short-term undesirable outcomes.Study DesignRetrospective study over a 2-year time period (2016-2018).MethodsCoarsened exact matching was used to assess the predictive capacity of the LACE+ index among all gynecologic surgery cases over a 2-year period (2016-2018) at 1 health system (N = 12,225). Study subjects were matched on characteristics not assessed by LACE+, including race and duration of surgery. For comparison of outcomes, LACE+ score was divided into quartiles and otherwise matched populations were compared in reference to LACE+ quartile (Q): Q4 vs Q1, Q4 vs Q2, Q4 vs Q3.ResultsA total of 1715 patients were matched for Q1 to Q4, 1951 patients were matched for Q2 to Q4, and 1822 patients were matched for Q3 to Q4. Escalating LACE+ score significantly predicted increased readmission, reoperation, and emergency department (ED) visits from 30 to 90 postoperative days as well as readmission, reoperation, and ED visits from 0 to 90 postoperative days.ConclusionsThe results of this study suggest that the LACE+ index is suitable as a prediction model for important patient outcomes in a gynecologic surgery population.

23 keywords...

hide…