Menu
×
John L. Dart Library
Closed for Maintenance
Phone: (843) 722-7550
West Ashley Library
9 a.m. - 5 p.m.
Phone: (843) 766-6635
Folly Beach Library
9 a.m. - 2 p.m.
*open the 2nd and 4th Saturday
*open the 2nd and 4th Saturday
Phone: (843) 588-2001
Edgar Allan Poe/Sullivan's Island Library
Closed for renovations
Phone: (843) 883-3914
Wando Mount Pleasant Library
9 a.m. - 5 p.m.
Phone: (843) 805-6888
Village Library
9 a.m. - 1 p.m.
Phone: (843) 884-9741
St. Paul's/Hollywood Library
9 a.m. - 5 p.m.
Phone: (843) 889-3300
Otranto Road Library
9 a.m. - 5 p.m.
Phone: (843) 572-4094
Mt. Pleasant Library
9 a.m. – 5 p.m.
Phone: (843) 849-6161
McClellanville Library
9 a.m. – 1 p.m.
Phone: (843) 887-3699
Keith Summey North Charleston Library
9 a.m. - 5 p.m.
Phone: (843) 744-2489
John's Island Library
9 a.m. - 5 p.m.
Phone: (843) 559-1945
Hurd/St. Andrews Library
9 a.m. - 5 p.m.
Phone: (843) 766-2546
Miss Jane's Building (Edisto Library Temporary Location)
9 a.m. – 1 p.m.
Phone: (843) 869-2355
Dorchester Road Library
9 a.m. - 5 p.m.
Phone: (843) 552-6466
Baxter-Patrick James Island
9 a.m. - 5 p.m.
Phone: (843) 795-6679
Main Library
9 a.m. - 5 p.m.
Phone: (843) 805-6930
Bees Ferry West Ashley Library
9 a.m. - 5 p.m.
Phone: (843) 805-6892
Mobile Library
Closed
Phone: (843) 805-6909
Today's Hours
John L. Dart Library
Closed for Maintenance
Phone: (843) 722-7550
West Ashley Library
9 a.m. - 5 p.m.
Phone: (843) 766-6635
Folly Beach Library
9 a.m. - 2 p.m.
*open the 2nd and 4th Saturday
*open the 2nd and 4th Saturday
Phone: (843) 588-2001
Edgar Allan Poe/Sullivan's Island Library
Closed for renovations
Phone: (843) 883-3914
Wando Mount Pleasant Library
9 a.m. - 5 p.m.
Phone: (843) 805-6888
Village Library
9 a.m. - 1 p.m.
Phone: (843) 884-9741
St. Paul's/Hollywood Library
9 a.m. - 5 p.m.
Phone: (843) 889-3300
Otranto Road Library
9 a.m. - 5 p.m.
Phone: (843) 572-4094
Mt. Pleasant Library
9 a.m. – 5 p.m.
Phone: (843) 849-6161
McClellanville Library
9 a.m. – 1 p.m.
Phone: (843) 887-3699
Keith Summey North Charleston Library
9 a.m. - 5 p.m.
Phone: (843) 744-2489
John's Island Library
9 a.m. - 5 p.m.
Phone: (843) 559-1945
Hurd/St. Andrews Library
9 a.m. - 5 p.m.
Phone: (843) 766-2546
Miss Jane's Building (Edisto Library Temporary Location)
9 a.m. – 1 p.m.
Phone: (843) 869-2355
Dorchester Road Library
9 a.m. - 5 p.m.
Phone: (843) 552-6466
Baxter-Patrick James Island
9 a.m. - 5 p.m.
Phone: (843) 795-6679
Main Library
9 a.m. - 5 p.m.
Phone: (843) 805-6930
Bees Ferry West Ashley Library
9 a.m. - 5 p.m.
Phone: (843) 805-6892
Mobile Library
Closed
Phone: (843) 805-6909
Patron Login
menu
Item request has been placed!
×
Item request cannot be made.
×
Processing Request
External Validation of a Machine Learning Algorithm for Predicting Clinically Meaningful Functional Improvement After Arthroscopic Hip Preservation Surgery.
Item request has been placed!
×
Item request cannot be made.
×
Processing Request
- Author(s): Kunze, Kyle N.; Kaidi, Austin; Madjarova, Sophia; Polce, Evan M.; Ranawat, Anil S.; Nawabi, Danyal H.; Kelly, Bryan T.; Nho, Shane J.; Nwachukwu, Benedict U.
- Source:
American Journal of Sports Medicine. Nov2022, Vol. 50 Issue 13, p3593-3599. 7p. - Source:
- Additional Information
- Subject Terms: HIP joint physiology; HIP surgery; FEMORACETABULAR impingement; RESEARCH evaluation; ACADEMIC medical centers; CONFIDENCE intervals; ARTHROSCOPY; RESEARCH methodology; MACHINE learning; TERTIARY care; SURGERY; PATIENTS; ATHLETES; HEALTH outcome assessment; RETROSPECTIVE studies; MANN Whitney U Test; FUNCTIONAL assessment; DESCRIPTIVE statistics; CHI-squared test; PREDICTION models; ALGORITHMS; LONGITUDINAL method
- Subject Terms:
- Abstract: Background: Individualized risk prediction has become possible with machine learning (ML), which may have important implications in enhancing clinical decision making. We previously developed an ML algorithm to predict propensity for clinically meaningful outcome improvement after hip arthroscopy for femoroacetabular impingement syndrome. External validity of prognostic models is critical to determine generalizability, although it is rarely performed. Purpose: To assess the external validity of an ML algorithm for predicting clinically meaningful improvement after hip arthroscopy. Study Design: Cohort study; Level of evidence, 3. Methods: An independent hip preservation registry at a tertiary academic medical center was queried for consecutive patients/athletes who underwent hip arthroscopy for femoroacetabular impingement syndrome between 2015 and 2017. By assuming a minimal clinically important difference (MCID) outcome/event proportion of 75% based on the original study, a minimum sample of 132 patients was required. In total, 154 patients were included. Age, body mass index, alpha angle on anteroposterior pelvic radiographs, Tönnis grade and angle, and preoperative Hip Outcome Score–Sports Subscale were used as model inputs to predict the MCID for the Hip Outcome Score–Sports Subscale 2 years postoperatively. Performance was assessed using identical metrics to the internal validation study and included discrimination, calibration, Brier score, and decision curve analysis. Results: The concordance statistic in the validation cohort was 0.80 (95% CI, 0.71 to 0.87), suggesting good to excellent discrimination. The calibration slope was 1.16 (95% CI, 0.74 to 1.61) and the calibration intercept 0.13 (95% CI, –0.26 to 0.53). The Brier score was 0.15 (95% CI, 0.12 to 0.18). The null model Brier score was 0.20. Decision curve analysis revealed favorable net treatment benefit for patients with use of the algorithm as compared with interventional changes made for all and no patients. Conclusion: The performance of this algorithm in an independent patient population in the northeast region of the United States demonstrated superior discrimination and comparable calibration to that of the derivation cohort. The external validation of this algorithm suggests that it is a reliable method to predict propensity for clinically meaningful improvement after hip arthroscopy and is an essential step forward toward introducing initial use in clinical practice. Potential uses include integration into electronic medical records for automated prediction, enhanced shared decision making, and more informed allocation of resources to optimize patient outcomes. [ABSTRACT FROM AUTHOR]
- Abstract: Copyright of American Journal of Sports Medicine is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Subject Terms:
Contact CCPL
Copyright 2022 Charleston County Public Library Powered By EBSCO Stacks 3.3.0 [350.3] | Staff Login
No Comments.