Literature DB >> 27019416

The American College of Surgeons National Surgical Quality Improvement Program Surgical Risk Calculator Does Not Accurately Predict Risk of 30-Day Complications Among Patients Undergoing Microvascular Head and Neck Reconstruction.

Kevin Arce1, Eric J Moore2, Christine M Lohse3, Matthew D Reiland4, Jacob G Yetzer5, Kyle S Ettinger6.   

Abstract

PURPOSE: The American College of Surgeons (ACS) National Surgical Quality Improvement Program (NSQIP) Surgical Risk Calculator (SRC) is a novel universal risk calculator designed to aid in risk stratification of patients undergoing various types of major surgery. The purpose of this study was to assess the validity of the ACS NSQIP SRC in predicting postoperative complications in patients undergoing microvascular head and neck reconstruction.
MATERIALS AND METHODS: A retrospective cohort study of patients undergoing head and neck microvascular reconstruction with fibular free flaps at a single institution was completed. The NSQIP SRC was used to compute complication risk estimates and length of stay (LOS) estimates for all patients under study. Associations between complication risk estimates generated by the SRC and actual rates of observed complications were evaluated using logistic regression models. Logistic regression models also were used to evaluate the SRC estimates for LOS duration compared with the actual observed LOS after surgery.
RESULTS: Of 153 patients under study, 46 (30%) developed a postoperative complication corresponding to those defined by NSQIP SRC. Thirty-eight patients (25%) developed a postoperative complication categorized as severe in the parameters of the NSQIP SRC. None of the SRC complication estimates showed a statistically relevant association with the corresponding observed rates of complications. The mean LOS predicted by the SRC was 8.0 days (median, 7.5 days; interquartile range [IQR], 6.5 to 9; range, 5.0 to 18.5 days). The mean observed LOS for the study group was 9.6 days (median, 7.0 days; IQR, 6 to 9; range, 5 to 67 days). Lin's (Biometrics 45:255, 1989) concordance correlation coefficient to measure agreement between observed and predicted LOS was 0.10, indicating only slight agreement between the 2 values.
CONCLUSION: The ACS NSQIP SRC is not a useful risk-stratifying metric for patients undergoing major head and neck reconstruction with microvascular fibular free flaps. The SRC also does not accurately predict hospital LOS for this same patient cohort.
Copyright © 2016 American Association of Oral and Maxillofacial Surgeons. Published by Elsevier Inc. All rights reserved.

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Year:  2016        PMID: 27019416     DOI: 10.1016/j.joms.2016.02.024

Source DB:  PubMed          Journal:  J Oral Maxillofac Surg        ISSN: 0278-2391            Impact factor:   1.895


  9 in total

1.  Predicting Post-operative Complications in Crohn's Disease: an Appraisal of Clinical Scoring Systems and the NSQIP Surgical Risk Calculator.

Authors:  Kevin R McMahon; Kenneth D Allen; Anita Afzali; Syed Husain
Journal:  J Gastrointest Surg       Date:  2019-08-20       Impact factor: 3.452

2.  Predicted versus observed 30-day perioperative outcomes using the ACS NSQIP surgical risk calculator in patients undergoing partial nephrectomy for renal cell carcinoma.

Authors:  Brian M Blair; Erik B Lehman; Syed M Jafri; Matthew G Kaag; Jay D Raman
Journal:  Int Urol Nephrol       Date:  2018-06-04       Impact factor: 2.370

Review 3.  Performance Improvement in Head and Neck Cancer.

Authors:  Carol M Lewis; Randal S Weber
Journal:  Curr Oncol Rep       Date:  2018-01-19       Impact factor: 5.075

Review 4.  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

5.  Predicting complications of major head and neck oncological surgery: an evaluation of the ACS NSQIP surgical risk calculator.

Authors:  Peter S Vosler; Mario Orsini; Danny J Enepekides; Kevin M Higgins
Journal:  J Otolaryngol Head Neck Surg       Date:  2018-03-22

6.  Surgical data science: The new knowledge domain.

Authors:  S Swaroop Vedula; Gregory D Hager
Journal:  Innov Surg Sci       Date:  2017-04-20

7.  Optimizing classical risk scores to predict complications in head and neck surgery: a new approach.

Authors:  Ana Sousa Menezes; Antero Fernandes; Jéssica Rocha Rodrigues; Carla Salomé; Firmino Machado; Luís Antunes; Joaquim Castro Silva; Eurico Monteiro; Lúcio Lara Santos
Journal:  Eur Arch Otorhinolaryngol       Date:  2020-06-18       Impact factor: 2.503

8.  Predicting 30-Day and 180-Day Mortality in Elderly Proximal Hip Fracture Patients: Evaluation of 4 Risk Prediction Scores at a Level I Trauma Center.

Authors:  Arastoo Nia; Domenik Popp; Georg Thalmann; Fabian Greiner; Natasa Jeremic; Robert Rus; Stefan Hajdu; Harald K Widhalm
Journal:  Diagnostics (Basel)       Date:  2021-03-11

9.  Can we predict postoperative complications in elderly Chinese patients with hip fractures using the surgical risk calculator?

Authors:  Xiao Wang; Bin Jiang Zhao; Yue Su
Journal:  Clin Interv Aging       Date:  2017-09-22       Impact factor: 4.458

  9 in total

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