A dynamic risk factor assessment for myocardial infarction and cardiac arrest in patients undergoing pancreatectomy.

BACKGROUND: To identify pancreatectomy specific risk factors for myocardial infarction and cardiac arrest (MICA) and to assess whether addition of new information obtained during the hospitalization changes these risk factors. METHODS: Analysis was performed on elective pancreatectomy data from the ACS-NSQIP database (2014-2019). Risk factors were grouped into pre-operative, intra-operative, and postoperative phases. Factors were selected using a bootstrap resampling procedure to determine MICA association. Independent significance was assessed by logistic regression. RESULTS: In the first 30 days post-op, 650 of 39779 patients (1.88%) developed MICA. Some of the surgery specific, intra- and post-operative factors that were identified are: delayed gastric emptying (OR: 2.61; 95% CI: 2.12-3.21), total pancreatectomy (OR: 2.16; 95% CI: 1.29-3.42), pancreatic fistula (OR: 1.54; 95% CI: 1.25-1.90), post-operative transfusion (OR: 1.28; 95% CI: 1.03-1.58), and open approach (OR: 1.36; 95% CI: 1.05-1.77). Adding new variables improved statistical model performance and the c-statistic improved from 0.69 to 0.76 in the final analysis. CONCLUSION: Surgery specific, intra-, and post-operative factors were associated with MICA. Addition of new information during the hospital course changed risk factors and the statistical prediction of MICA risk improved.

Usefulness of Timed Up and Go (TUG) Test for Prediction of Adverse Outcomes in Patients Undergoing Thoracolumbar Spine Surgery.

BACKGROUND: Spine surgery rates have increased and the high postoperative morbidity in these patients result in increased costs. Consequently, it is essential to identify patients at risk of adverse outcomes. OBJECTIVE: To assess whether preoperative Timed Up and Go (TUG) test performance can predict high-grade postoperative complications. METHODS: A prospective cohort study of patients undergoing elective thoracolumbar spine surgery in a tertiary care hospital between 2017 and 2018. Patients were assessed preoperatively and assigned to the slow-TUG group if unable to perform or test performance time was ≥18.4 s. Primary outcome: high-grade postoperative complications. Secondary outcomes: overall complications, length of stay (LOS), discharge to healthcare facility, readmission and emergency department (ED) presentation. Patients were followed-up until 6 wk after surgery. RESULTS: One hundred three patients (mean age 62.95 ± 10.97 yr) were enrolled. Slow-TUG group were more likely to be classified as American Society of Anaesthesiology (ASA) class 3 (74.1% vs 47.4%, P = .02), non-independent (25.9% vs 5.3%, P < .01), and frail (92.3% vs 42.1%, P < .01). TUG was an independent predictor of high-grade complications (adjusted odds ratio (OR): 4.97, 95% CI: 1.18-22.47), overall complications (OR: 3.77, 95% CI: 1.33-11.81), discharge to a skilled-nursing facility (OR: 3.2, 95% CI: 1.00-10.70), readmission within 6 wk of surgery (OR: 9.14, 95% CI: 2.39-41.26) and LOS (adjusted incident rate ratio (IRR): 1.45, 95% CI: 1.16-1.80). CONCLUSION: Compared to traditional risk factors, TUG is an important predictor of adverse postoperative outcomes and may be used preoperatively to identify high-risk thoracolumbar surgery patients.