Affiliation:
1. Department of Surgery, University of Tennessee Graduate School of Medicine, Knoxville, TN, USA
2. Department of Anesthesiology, University of Tennessee Graduate School of Medicine, Knoxville, TN, USA
Abstract
Background Accurate preoperative risk stratification remains elusive. Existing tools are often missing important patient-reported and functional factors. We sought to implement a novel tool, with dynamic functional data and comorbidity variables, to define factors which predict postoperative outcomes. Materials and Methods We expanded a previously validated functional questionnaire to create the Tennessee Preoperative Assessment Tool (TPAT). Unique elements included change in functional status, usual and best activity tolerance, and development of new conditions. The survey was administered to all new patients seen in several surgery clinics from July 2021 to June 2022. Results A total of 1950 patients completed the survey. Of the completed surveys, 197 patients underwent an elective, inpatient, abdominal surgery and were included in the study. Several patient-reported factors were associated with poor postoperative outcomes. For example, decrease in functional activity in the previous 60 days (n = 50; 25.4%) was a strong predictor of poor postoperative outcomes including readmission (30-day: 8.8% vs .0%; P = .034), wound dehiscence (12.0% vs 3.4%; P = .022), blood transfusion (6.0% vs .0%; P = .003), sepsis (4.0% vs .0%; P = .015), and wound infection (18.0% vs 6.8%; P = .076). Discussion In this preliminary implementation study, patients undergoing elective, inpatient, abdominal surgery, utilization of a novel, patient-reported survey tool proactively identifies patients at risk of clinically relevant postoperative outcomes. Patient-reported decreased activity in the 60 days prior to surgeon evaluation was associated with several adverse postoperative outcomes. Additionally, this study demonstrates that the TPAT can be seamlessly integrated into the usual clinical workflow and is hypothesis generating for future interventional studies.