Development and Validation of a Multivariable Prediction Model for Postoperative Intensive Care Unit Stay in a Broad Surgical Population.

Importance: Despite limited capacity and expensive cost, there are minimal objective data to guide postoperative allocation of intensive care unit (ICU) beds. The Surgical Risk Preoperative Assessment System (SURPAS) uses 8 preoperative variables to predict many common postoperative complications, but it has not yet been evaluated in predicting postoperative ICU admission.

Objective: To determine if the SURPAS model could accurately predict postoperative ICU admission in a broad surgical population.

Using the Surgical Risk Preoperative Assessment System to Define the "High Risk" Surgical Patient.

Background: Defining a "high risk" surgical population remains challenging. Using the Surgical Risk Preoperative Assessment System (SURPAS), we sought to define "high risk" groups for adverse postoperative outcomes.

Materials And Methods: We retrospectively analyzed the 2009-2018 American College of Surgeons National Surgical Quality Improvement Program database.

Accuracy of the surgical risk preoperative assessment system universal risk calculator in predicting risk for patients undergoing selected operations in 9 specialty areas.

Background: The universal Surgical Risk Preoperative Assessment System (SURPAS) prediction models for postoperative adverse outcomes have good accuracy for estimating risk in broad surgical populations and for surgical specialties. The accuracy in individual operations has not yet been assessed. The objective of this study was to evaluate the Surgical Risk Preoperative Assessment System in predicting adverse outcomes for selected individual operations.

A Pilot Study of Patient-Reported Outcome Measures Across a Broad Sample of Surgical Patients.

Background: Patient-reported outcomes (PROs) have the potential to aid in surgical decision-making, predict surgical outcomes, assess recovery, and evaluate long-term success. We performed a pilot study testing the ability to use PROs in a broad surgical population in preparation for wide spread use.

Material And Methods: Surgical patients completed five Patient-Reported Outcome Measurement Information System (PROMIS) measures during their preoperative encounter in the preanesthesia clinic and again postoperatively via emailed link.

Relationships between predischarge and postdischarge infectious complications, length of stay, and unplanned readmissions in the ACS NSQIP database.

Background: Postoperative complications, length of index hospital stay, and unplanned hospital readmissions are important metrics reflecting surgical care quality. Postoperative infections represent a substantial proportion of all postoperative complications. We examined the relationships between identification of postoperative infection prehospital and posthospital discharge, length of stay, and unplanned readmissions in the American College of Surgeons National Surgical Quality Improvement Program database across nine surgical specialties.