Literature DB >> 28899592

The American College of Surgeons National Surgical Quality Improvement Program Surgical Risk Calculator Has a Role in Predicting Discharge to Post-Acute Care in Total Joint Arthroplasty.

Daniel E Goltz1, Billy T Baumgartner1, Cary S Politzer1, Marcus DiLallo1, Michael P Bolognesi2, Thorsten M Seyler2.   

Abstract

BACKGROUND: Patient demand and increasing cost awareness have led to the creation of surgical risk calculators that attempt to predict the likelihood of adverse events and to facilitate risk mitigation. The American College of Surgeons National Surgical Quality Improvement Program Surgical Risk Calculator is an online tool available for a wide variety of surgical procedures, and has not yet been fully evaluated in total joint arthroplasty.
METHODS: A single-center, retrospective review was performed on 909 patients receiving a unilateral primary total knee (496) or hip (413) arthroplasty between January 2012 and December 2014. Patient characteristics were entered into the risk calculator, and predicted outcomes were compared with observed results. Discrimination was evaluated using the receiver-operator area under the curve (AUC) for 90-day readmission, return to operating room (OR), discharge to skilled nursing facility (SNF)/rehab, deep venous thrombosis (DVT), and periprosthetic joint infection (PJI).
RESULTS: The risk calculator demonstrated adequate performance in predicting discharge to SNF/rehab (AUC 0.72). Discrimination was relatively limited for DVT (AUC 0.70, P = .2), 90-day readmission (AUC 0.63), PJI (AUC 0.67), and return to OR (AUC 0.59). Risk score differences between those who did and did not experience discharge to SNF/rehab, 90-day readmission, and PJI reached significance (P < .01). Predicted length of stay performed adequately, only overestimating by 0.2 days on average (rho = 0.25, P < .001).
CONCLUSION: The American College of Surgeons National Surgical Quality Improvement Program Surgical Risk Calculator has fair utility in predicting discharge to SNF/rehab, but limited usefulness for 90-day readmission, return to OR, DVT, and PJI. Although length of stay predictions are similar to actual outcomes, statistical correlation remains relatively weak.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  ACS-NSQIP; complications; primary hip arthroplasty; primary knee arthroplasty; risk calculator

Mesh:

Year:  2017        PMID: 28899592     DOI: 10.1016/j.arth.2017.08.008

Source DB:  PubMed          Journal:  J Arthroplasty        ISSN: 0883-5403            Impact factor:   4.757


  7 in total

1.  CORR Insights®: Statistical Methods Dictate the Estimated Impact of Body Mass Index on Major and Minor Complications After Total Joint Arthroplasty.

Authors:  Andrew P Kurmis
Journal:  Clin Orthop Relat Res       Date:  2018-12       Impact factor: 4.176

2.  Are high-risk patient and revision arthroplasty effective indications for closed-incisional negative-pressure wound therapy after total hip or knee arthroplasty? A systematic review and meta-analysis.

Authors:  Jun-Ho Kim; Dae-Hee Lee
Journal:  Int Wound J       Date:  2020-05-13       Impact factor: 3.315

3.  The utilization of artificial neural networks for the prediction of 90-day unplanned readmissions following total knee arthroplasty.

Authors:  Christian Klemt; Venkatsaiakhil Tirumala; Yasamin Habibi; Anirudh Buddhiraju; Tony Lin-Wei Chen; Young-Min Kwon
Journal:  Arch Orthop Trauma Surg       Date:  2022-08-07       Impact factor: 2.928

4.  Readmission, Complication, and Disposition Calculators in Total Joint Arthroplasty: A Systemic Review.

Authors:  Cole M Howie; Simon C Mears; C Lowry Barnes; Jeffrey B Stambough
Journal:  J Arthroplasty       Date:  2020-11-03       Impact factor: 4.757

5.  CORR Insights®: What Factors Predict Adverse Discharge Disposition in Patients Older Than 60 Years Undergoing Lower-extremity Surgery? The Adverse Discharge in Older Patients after Lower-extremity Surgery (ADELES) Risk Score.

Authors:  David N Bernstein
Journal:  Clin Orthop Relat Res       Date:  2021-03-01       Impact factor: 4.755

6.  The association of preoperative blood markers with postoperative readmissions following arthroplasty.

Authors:  Amir Khoshbin; Graeme Hoit; Lauren Leone Nowak; Anser Daud; Martine Steiner; Peter Juni; Bheeshma Ravi; Amit Atrey
Journal:  Bone Jt Open       Date:  2021-06

Review 7.  Compilation and Analysis of Web-Based Orthopedic Personalized Predictive Tools: A Scoping Review.

Authors:  Patrick Curtin; Alexandra Conway; Liu Martin; Eugenia Lin; Prakash Jayakumar; Eric Swart
Journal:  J Pers Med       Date:  2020-11-12
  7 in total

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