Recalibration and External Validation of the Risk Analysis Index: A Surgical Frailty Assessment Tool. Issue 6 (December 2020)
- Record Type:
- Journal Article
- Title:
- Recalibration and External Validation of the Risk Analysis Index: A Surgical Frailty Assessment Tool. Issue 6 (December 2020)
- Main Title:
- Recalibration and External Validation of the Risk Analysis Index
- Authors:
- Arya, Shipra
Varley, Patrick
Youk, Ada
Borrebach, Jeffrey D.
Perez, Sebastian
Massarweh, Nader N.
Johanning, Jason M.
Hall, Daniel E. - Abstract:
- Abstract : Objective and Background: The Risk Analysis Index (RAI) predicts 30-, 180-, and 365-day mortality based on variables constitutive of frailty. Initially validated, in a single-center Veteran hospital, we sought to improve model performance by recalibrating the RAI in a large, veteran surgical registry, and to externally validate it in both a national surgical registry and a cohort of surgical patients for whom RAI was measured prospectively before surgery. Methods: The RAI was recalibrated among development and confirmation samples within the Veterans Affairs Surgical Quality Improvement Program (VASQIP; 2010–2014; N = 480, 731) including major, elective noncardiac surgery patients to create the revised RAI (RAI-rev), comparing discrimination and calibration. The model was tested externally in the American College of Surgeons National Surgical Quality Improvement Program dataset (NSQIP; 2005–2014; N = 1, 391, 785), and in a prospectively collected cohort from the Nebraska Western Iowa Health Care System VA (NWIHCS; N = 6, 856). Results: Recalibrating the RAI significantly improved discrimination for 30-day [ c = 0.84–0.86], 180-day [ c = 0.81–0.84], and 365-day mortality [ c = 0.78–0.82] ( P < 0.001 for all) in VASQIP. The RAI-rev also had markedly better calibration (median absolute difference between observed and predicted 180-day mortality: decreased from 8.45% to 1.23%). RAI-rev was highly predictive of 30-day mortality ( c = 0.87) in external validation withAbstract : Objective and Background: The Risk Analysis Index (RAI) predicts 30-, 180-, and 365-day mortality based on variables constitutive of frailty. Initially validated, in a single-center Veteran hospital, we sought to improve model performance by recalibrating the RAI in a large, veteran surgical registry, and to externally validate it in both a national surgical registry and a cohort of surgical patients for whom RAI was measured prospectively before surgery. Methods: The RAI was recalibrated among development and confirmation samples within the Veterans Affairs Surgical Quality Improvement Program (VASQIP; 2010–2014; N = 480, 731) including major, elective noncardiac surgery patients to create the revised RAI (RAI-rev), comparing discrimination and calibration. The model was tested externally in the American College of Surgeons National Surgical Quality Improvement Program dataset (NSQIP; 2005–2014; N = 1, 391, 785), and in a prospectively collected cohort from the Nebraska Western Iowa Health Care System VA (NWIHCS; N = 6, 856). Results: Recalibrating the RAI significantly improved discrimination for 30-day [ c = 0.84–0.86], 180-day [ c = 0.81–0.84], and 365-day mortality [ c = 0.78–0.82] ( P < 0.001 for all) in VASQIP. The RAI-rev also had markedly better calibration (median absolute difference between observed and predicted 180-day mortality: decreased from 8.45% to 1.23%). RAI-rev was highly predictive of 30-day mortality ( c = 0.87) in external validation with excellent calibration (median absolute difference between observed and predicted 30-day mortality: 0.6%). The discrimination was highly robust in men ( c = 0.85) and women ( c = 0.89). Discrimination also improved in the prospectively measured cohort from NWIHCS for 180-day mortality [ c = 0.77 to 0.80] ( P < 0.001). Conclusions: The RAI-rev has improved discrimination and calibration as a frailty-screening tool in surgical patients. It has robust external validity in men and women across a wide range of surgical settings and available for immediate implementation for risk assessment and counseling in preoperative patients. Abstract : Supplemental Digital Content is available in the text … (more)
- Is Part Of:
- Annals of surgery. Volume 272:Issue 6(2020)
- Journal:
- Annals of surgery
- Issue:
- Volume 272:Issue 6(2020)
- Issue Display:
- Volume 272, Issue 6 (2020)
- Year:
- 2020
- Volume:
- 272
- Issue:
- 6
- Issue Sort Value:
- 2020-0272-0006-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-12
- Subjects:
- frailty -- frailty screening -- risk analysis index -- surgery
Surgery -- Periodicals
617.005 - Journal URLs:
- http://www.annalsofsurgery.com ↗
http://journals.lww.com ↗ - DOI:
- 10.1097/SLA.0000000000003276 ↗
- Languages:
- English
- ISSNs:
- 0003-4932
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 1044.500000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 22191.xml