» Articles » PMID: 30907757

Recalibration and External Validation of the Risk Analysis Index: A Surgical Frailty Assessment Tool

Overview
Journal Ann Surg
Specialty General Surgery
Date 2019 Mar 26
PMID 30907757
Citations 67
Authors
Affiliations
Soon will be listed here.
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 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.

Citing Articles

Orthopedic frailty risk stratification (OFRS): a systematic review of the frailty indices predicting adverse outcomes in orthopedics.

Gupta N, Dunivin F, Chmait H, Smitterberg C, Buttar A, Fazal-Ur-Rehman M J Orthop Surg Res. 2025; 20(1):247.

PMID: 40051013 PMC: 11887260. DOI: 10.1186/s13018-025-05609-2.


The Risk Analysis Index Has Superior Discrimination Compared With the Modified Frailty Index-5 in Predicting Worse Postoperative Outcomes for the Octogenarian Neurosurgical Patient.

Yocky A, Owodunni O, Courville E, Kazim S, Schmidt M, Gearhart S Neurosurg Pract. 2025; 4(3):e00044.

PMID: 39958794 PMC: 11809970. DOI: 10.1227/neuprac.0000000000000044.


Agreement Between Provider-Completed and Patient-Completed Preoperative Frailty Screening Using the Clinical Risk Analysis Index: Cross-Sectional Questionnaire Study.

Khalighi M, Thomas A, Brown K, Ritchey K JMIR Perioper Med. 2025; 8:e66440.

PMID: 39928399 PMC: 11851030. DOI: 10.2196/66440.


Diagnosis of frailty and implications on surgical process in the elderly: A narrative review.

Aceto P, Schipa C, Luca E, Cambise C, Galletta C, Tommasino C Eur J Anaesthesiol Intensive Care. 2025; 2(6):e0041.

PMID: 39916728 PMC: 11798398. DOI: 10.1097/EA9.0000000000000041.


The Surgical Pause: The Importance of Measuring Frailty and Taking Action to Address Identified Frailty.

Hall D, Hagan D, Ashcraft L, Wilson M, Arya S, Johanning J Jt Comm J Qual Patient Saf. 2025; 51(3):167-177.

PMID: 39799070 PMC: 11867859. DOI: 10.1016/j.jcjq.2024.11.011.


References
1.
Hall D, Arya S, Schmid K, Blaser C, Carlson M, Bailey T . Development and Initial Validation of the Risk Analysis Index for Measuring Frailty in Surgical Populations. JAMA Surg. 2016; 152(2):175-182. PMC: 7140150. DOI: 10.1001/jamasurg.2016.4202. View

2.
Robinson T, Eiseman B, Wallace J, Church S, McFann K, Pfister S . Redefining geriatric preoperative assessment using frailty, disability and co-morbidity. Ann Surg. 2009; 250(3):449-55. DOI: 10.1097/SLA.0b013e3181b45598. View

3.
Kwok A, Semel M, Lipsitz S, Bader A, Barnato A, Gawande A . The intensity and variation of surgical care at the end of life: a retrospective cohort study. Lancet. 2011; 378(9800):1408-13. DOI: 10.1016/S0140-6736(11)61268-3. View

4.
Aguayo G, Donneau A, Vaillant M, Schritz A, Franco O, Stranges S . Agreement Between 35 Published Frailty Scores in the General Population. Am J Epidemiol. 2017; 186(4):420-434. PMC: 5860330. DOI: 10.1093/aje/kwx061. View

5.
Schwarze M, Brasel K, Mosenthal A . Beyond 30-day mortality: aligning surgical quality with outcomes that patients value. JAMA Surg. 2014; 149(7):631-2. PMC: 4295201. DOI: 10.1001/jamasurg.2013.5143. View