Literature DB >> 30130353

Predicting Adverse Outcomes After Total Hip Arthroplasty: A Comparison of Demographics, the American Society of Anesthesiologists class, the Modified Charlson Comorbidity Index, and the Modified Frailty Index.

Nathaniel T Ondeck1, Daniel D Bohl, Patawut Bovonratwet, Nidharshan S Anandasivam, Jonathan J Cui, Ryan P McLynn, Jonathan N Grauer.   

Abstract

INTRODUCTION: No known study has compared the predictive power of the American Society of Anesthesiologists (ASA) class, modified Charlson Comorbidity Index, modified Frailty Index, and demographic characteristics for general health complications after total hip arthroplasty (THA).
METHODS: Comorbidity indices and demographics from National Surgical Quality Improvement Program THA patients were evaluated for discriminative ability in predicting adverse outcomes using the area under the curve analysis from the receiver operating characteristic curves. Perioperative outcomes included any adverse event, severe adverse events, minor adverse events, extended hospital stay, and discharge to higher-level care.
RESULTS: In total, 64,792 THA patients were identified. The most predictive comorbidity index was ASA, and demographic factor was age. Of these, age had the greatest discriminative ability for four of the five adverse outcomes.
CONCLUSION: For THA, easily obtained patient ASA and age are more predictive of perioperative adverse outcomes than the more complex and numerically tabulated modified Charlson Comorbidity Index and modified Frailty Index.

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Mesh:

Year:  2018        PMID: 30130353     DOI: 10.5435/JAAOS-D-17-00009

Source DB:  PubMed          Journal:  J Am Acad Orthop Surg        ISSN: 1067-151X            Impact factor:   3.020


  7 in total

Review 1.  Review article: Patient characteristics that act as risk factors for intraoperative complications in hip, knee, and shoulder arthroplasties.

Authors:  Adel Hijazi; Muhammad Talha Padela; Zain Sayeed; Aws Hammad; Kamela Devole; Todd Frush; Gamal Mostafa; Walid K Yassir; Khaled J Saleh
Journal:  J Orthop       Date:  2019-06-17

2.  [Preoperative screening for risk factors].

Authors:  Matthias Meyer; Joachim Grifka; Tobias Kappenschneider
Journal:  Orthopadie (Heidelb)       Date:  2022-05-25

3.  The Charlson and Elixhauser Scores Outperform the American Society of Anesthesiologists Score in Assessing 1-year Mortality Risk After Hip Fracture Surgery.

Authors:  Nathan H Varady; Stephen M Gillinov; Caleb M Yeung; Samuel S Rudisill; Antonia F Chen
Journal:  Clin Orthop Relat Res       Date:  2021-09-01       Impact factor: 4.755

4.  Association of Social Behaviors With Community Discharge in Patients with Total Hip and Knee Replacement.

Authors:  Kevin T Pritchard; Ickpyo Hong; James S Goodwin; Jordan R Westra; Yong-Fang Kuo; Kenneth J Ottenbacher
Journal:  J Am Med Dir Assoc       Date:  2020-10-09       Impact factor: 7.802

5.  Analysis of the associated factors for severe weight loss after minimally invasive McKeown esophagectomy.

Authors:  Peiyu Wang; Yin Li; Haibo Sun; Ruixiang Zhang; Xianben Liu; Shilei Liu; Zongfei Wang; Yan Zheng; Yongkui Yu; Xiankai Chen; Haomiao Li; Jun Zhang; Qi Liu
Journal:  Thorac Cancer       Date:  2018-12-21       Impact factor: 3.500

6.  Ability of a Risk Prediction Tool to Stratify Quality and Cost for Older Patients With Operative Distal Radius Fractures.

Authors:  Abidemi Adenikinju; Rachel Ranson; Samantha A Rettig; Kenneth A Egol; Sanjit R Konda
Journal:  Geriatr Orthop Surg Rehabil       Date:  2021-03-11

Review 7.  The Update on Instruments Used for Evaluation of Comorbidities in Total Hip Arthroplasty.

Authors:  Łukasz Pulik; Michał Podgajny; Wiktor Kaczyński; Sylwia Sarzyńska; Paweł Łęgosz
Journal:  Indian J Orthop       Date:  2021-01-26       Impact factor: 1.251

  7 in total

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