Literature DB >> 31147116

Variation in center-level frailty burden and the impact of frailty on long-term survival in patients undergoing elective repair for abdominal aortic aneurysms.

Elizabeth L George1, Rui Chen2, Amber W Trickey2, Benjamin S Brooke3, Larry Kraiss3, Matthew W Mell4, Philip P Goodney5, Jason Johanning6, Jason Hockenberry7, Shipra Arya8.   

Abstract

OBJECTIVE: Frailty is increasingly recognized as a key determinant in predicting postoperative outcomes. Centers that see more frail patients may not be captured in risk adjustment, potentially accounting for poorer outcomes in hospital comparisons. We aimed to (1) determine the effect of frailty on long-term mortality in patients undergoing elective abdominal aortic aneurysm (AAA) repair and (2) evaluate the variability in frailty burden among centers in the Vascular Quality Initiative (VQI) database.
METHODS: Patients undergoing elective open and endovascular AAA repair (2003-2017) were identified, and those with complete data on component variables of the VQI-derived Risk Analysis Index (VQI-RAI) and centers with ≥10 AAA repairs were included. VQI-RAI characteristics are sex, age, body mass index, renal failure, congestive heart failure, dyspnea, preoperative ambulation, and functional status. Frailty was defined as VQI-RAI ≥35 based on prior work in surgical patients using other quality improvement databases. This corresponds to the top 12% of patients at risk in the VQI. Center-level VQI-RAI differences were assessed by analysis of variance test. Relationships between frailty and survival were compared by Kaplan-Meier analysis and the log-rank test for open and endovascular procedures. Multivariable hierarchical Cox proportional hazards regression models were calculated with random intercepts for center, controlling for frailty, race, insurance, AAA diameter, procedure type, AAA case mix, and year.
RESULTS: A total of 15,803 patients from 185 centers were included. Mean VQI-RAI scores were 27.6 (standard deviation, 5.9; range, 4-56) and varied significantly across centers (F = 2.41, P < .001). The percentage of frail patients per center ranged from 0% to 40.0%. In multivariable analysis, frailty was independently associated with long-term mortality (hazard ratio, 2.88; 95% confidence interval, 2.6-3.2) after accounting for covariates and center-level variance. Open AAA repair was not associated with long-term mortality after adjusting for frailty (hazard ratio, 0.98; 95% confidence interval, 0.86-1.13). There was a statistically significant difference in the percentage of frail patients compared with nonfrail patients who were discharged to a rehabilitation facility or nursing home after both open (40.5% vs 17.8%; P < .0001) and endovascular repair (17.7% vs 4.6%; P < .0001).
CONCLUSIONS: There is considerable variability of preoperative frailty among VQI centers performing elective AAA repair. Adjusting for center-level variation, frailty but not procedure type had a significant association with long-term mortality; however, frailty and procedure type were both associated with nonhome discharge. Routine measurement of frailty preoperatively by centers to identify high-risk patients may help mitigate procedural and long-term outcomes and improve shared decision-making regarding AAA repair. Published by Elsevier Inc.

Entities:  

Keywords:  Endovascular abdominal aortic aneurysm repair; Frailty; Nonhome discharge; Open abdominal aortic aneurysm repair; Risk Analysis Index

Mesh:

Year:  2019        PMID: 31147116      PMCID: PMC6879802          DOI: 10.1016/j.jvs.2019.01.074

Source DB:  PubMed          Journal:  J Vasc Surg        ISSN: 0741-5214            Impact factor:   4.268


  42 in total

1.  The intensity and variation of surgical care at the end of life: a retrospective cohort study.

Authors:  Alvin C Kwok; Marcus E Semel; Stuart R Lipsitz; Angela M Bader; Amber E Barnato; Atul A Gawande; Ashish K Jha
Journal:  Lancet       Date:  2011-10-05       Impact factor: 79.321

2.  Conceptual Models of Frailty: Accumulation of Deficits.

Authors:  Kenneth Rockwood
Journal:  Can J Cardiol       Date:  2016-04-20       Impact factor: 5.223

3.  Development and Initial Validation of the Risk Analysis Index for Measuring Frailty in Surgical Populations.

Authors:  Daniel E Hall; Shipra Arya; Kendra K Schmid; Casey Blaser; Mark A Carlson; Travis L Bailey; Georgia Purviance; Tammy Bockman; Thomas G Lynch; Jason Johanning
Journal:  JAMA Surg       Date:  2017-02-01       Impact factor: 14.766

4.  Accumulating deficits model of frailty and postoperative mortality and morbidity: its application to a national database.

Authors:  Vic Velanovich; Heath Antoine; Andrew Swartz; David Peters; Ilan Rubinfeld
Journal:  J Surg Res       Date:  2013-02-01       Impact factor: 2.192

Review 5.  The assessment of frailty in older adults.

Authors:  Gabor Abellan van Kan; Yves Rolland; Mathieu Houles; Sophie Gillette-Guyonnet; Maria Soto; Bruno Vellas
Journal:  Clin Geriatr Med       Date:  2010-05       Impact factor: 3.076

6.  Influence of frailty on treatment outcomes after revascularization in patients with critical limb ischemia.

Authors:  Koichi Morisaki; Terutoshi Yamaoka; Kazuomi Iwasa; Takahiro Ohmine
Journal:  J Vasc Surg       Date:  2017-06-21       Impact factor: 4.268

7.  A Comparison of Three Frailty Indices in Predicting Morbidity and Mortality After On-Pump Aortic Valve Replacement.

Authors:  Gary Esses; Evie Andreopoulos; Hung-Mo Lin; Shipra Arya; Stacie Deiner
Journal:  Anesth Analg       Date:  2018-01       Impact factor: 5.108

8.  Frailty, body mass index, and abdominal obesity in older people.

Authors:  Ruth E Hubbard; Iain A Lang; David J Llewellyn; Kenneth Rockwood
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2009-11-25       Impact factor: 6.053

9.  The Association Between Preoperative Frailty and Postoperative Delirium After Cardiac Surgery.

Authors:  Charles H Brown; Laura Max; Andrew LaFlam; Lou Kirk; Alden Gross; Rakesh Arora; Karin Neufeld; Charles W Hogue; Jeremy Walston; Aliaksei Pustavoitau
Journal:  Anesth Analg       Date:  2016-08       Impact factor: 5.108

10.  Meta-analysis of individual-patient data from EVAR-1, DREAM, OVER and ACE trials comparing outcomes of endovascular or open repair for abdominal aortic aneurysm over 5 years.

Authors:  J T Powell; M J Sweeting; P Ulug; J D Blankensteijn; F A Lederle; J-P Becquemin; R M Greenhalgh
Journal:  Br J Surg       Date:  2017-02       Impact factor: 6.939

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  3 in total

1.  Comparison of Surgeon Assessment to Frailty Measurement in Abdominal Aortic Aneurysm Repair.

Authors:  Elizabeth L George; Aditi Kashikar; Kara A Rothenberg; Nicolas B Barreto; Rui Chen; Amber W Trickey; Shipra Arya
Journal:  J Surg Res       Date:  2019-12-13       Impact factor: 2.192

2.  Assessment of the Risk Analysis Index for Prediction of Mortality, Major Complications, and Length of Stay in Patients who Underwent Vascular Surgery.

Authors:  Kara A Rothenberg; Elizabeth L George; Amber W Trickey; Nicolas B Barreto; Theodore M Johnson; Daniel E Hall; Jason M Johanning; Shipra Arya
Journal:  Ann Vasc Surg       Date:  2020-01-11       Impact factor: 1.466

3.  Comparing Veterans Affairs and Private Sector Perioperative Outcomes After Noncardiac Surgery.

Authors:  Elizabeth L George; Nader N Massarweh; Ada Youk; Katherine M Reitz; Myrick C Shinall; Rui Chen; Amber W Trickey; Patrick R Varley; Jason Johanning; Paula K Shireman; Shipra Arya; Daniel E Hall
Journal:  JAMA Surg       Date:  2022-03-01       Impact factor: 14.766

  3 in total

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