Literature DB >> 27793973

Examining the validity of the ACS-NSQIP Risk Calculator in plastic surgery: lack of input specificity, outcome variability and imprecise risk calculations.

Cassandra Johnson1, Insiyah Campwala1, Subhas Gupta1.   

Abstract

American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) created the Surgical Risk Calculator, to allow physicians to offer patients a risk-adjusted 30-day surgical outcome prediction. This tool has not yet been validated in plastic surgery. A retrospective analysis of all plastic surgery-specific complications from a quality assurance database from September 2013 through July 2015 was performed. Patient preoperative risk factors were entered into the ACS Surgical Risk Calculator, and predicted outcomes were compared with actual morbidities. The difference in average predicted complication rate versus the actual rate of complication within this population was examined. Within the study population of patients with complications (n=104), the calculator accurately predicted an above average risk for 20.90% of serious complications. For surgical site infections, the average predicted risk for the study population was 3.30%; this prediction was proven only 24.39% accurate. The actual incidence of any complication within the 4924 patients treated in our plastic surgery practice from September 2013 through June 2015 was 1.89%. The most common plastic surgery complications include seroma, hematoma, dehiscence and flap-related complications. The ACS Risk Calculator does not present rates for these risks. While most frequent outcomes fall into general risk calculator categories, the difference in predicted versus actual complication rates indicates that this tool does not accurately predict outcomes in plastic surgery. The ACS Surgical Risk Calculator is not a valid tool for the field of plastic surgery without further research to develop accurate risk stratification tools.
Copyright © 2017 American Federation for Medical Research.

Entities:  

Keywords:  Academic Medical Centers; Evidence-Based Medicine; Morbidity; Risk

Mesh:

Year:  2016        PMID: 27793973     DOI: 10.1136/jim-2016-000224

Source DB:  PubMed          Journal:  J Investig Med        ISSN: 1081-5589            Impact factor:   2.895


  8 in total

1.  Evaluating Discrimination of ACS-NSQIP Surgical Risk Calculator in Thyroidectomy Patients.

Authors:  Vivian Hsiao; Dawn M Elfenbein; Susan C Pitt; Kristin L Long; Rebecca S Sippel; David F Schneider
Journal:  J Surg Res       Date:  2021-12-10       Impact factor: 2.192

2.  Might Doctors Really "Know Best"?: Utilizing Surgeon Intuition to Strengthen Preoperative Surgical Risk Assessment.

Authors:  James Kohler; Natalie Glass; Nicolas O Noiseux; John J Callaghan; Benjamin J Miller
Journal:  Iowa Orthop J       Date:  2018

Review 3.  Scoping Review of the National Surgical Quality Improvement Program in Plastic Surgery Research.

Authors:  Haley F M Augustine; Jiayi Hu; Zainab Najarali; Matthew McRae
Journal:  Plast Surg (Oakv)       Date:  2018-10-21       Impact factor: 0.947

4.  A Comparative Analysis of Surgical Wound Infection Methods: Predictive Values of the CDC, ASEPSIS, and Southampton Scoring Systems in Evaluating Breast Reconstruction Surgical Site Infections.

Authors:  Insiyah Campwala; Kayla Unsell; Subhas Gupta
Journal:  Plast Surg (Oakv)       Date:  2019-03-13       Impact factor: 0.947

5.  Assessing the Performance of the De Novo Postoperative Stress Urinary Incontinence Calculator.

Authors:  James H Ross; Charelle M Carter-Brooks; Kristine M Ruppert; Lauren E Giugale; Jonathan P Shepherd; Halina M Zyczynski
Journal:  Female Pelvic Med Reconstr Surg       Date:  2021-01-01       Impact factor: 1.913

6.  The National Surgical Quality Improvement Program 30-Day Challenge: Microsurgical Breast Reconstruction Outcomes Reporting Reliability.

Authors:  Austin D Chen; Parisa Kamali; Anmol S Chattha; Alexandra Bucknor; Justin B Cohen; Patrick P Bletsis; Renata Flecha-Hirsch; Adam M Tobias; Bernard T Lee; Samuel J Lin
Journal:  Plast Reconstr Surg Glob Open       Date:  2018-03-06

7.  Beyond 30 Days: A Risk Calculator for Longer Term Outcomes of Prosthetic Breast Reconstruction.

Authors:  Jordan T Blough; Michael M Vu; Cecil S Qiu; Alexei S Mlodinow; Nima Khavanin; Neil A Fine; John Y S Kim
Journal:  Plast Reconstr Surg Glob Open       Date:  2018-12-12

8.  Effective Communication of Personalized Risks and Patient Preferences During Surgical Informed Consent Using Data Visualization: Qualitative Semistructured Interview Study With Patients After Surgery.

Authors:  Gabriel Brat; Nils Gehlenborg; Undina Gisladottir; Drashko Nakikj; Rashi Jhunjhunwala; Jasmine Panton
Journal:  JMIR Hum Factors       Date:  2022-04-29
  8 in total

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