Literature DB >> 28739453

Modified Frailty Index Can Be Used to Predict Adverse Outcomes and Mortality after Lower Extremity Bypass Surgery.

Tarik Z Ali1, Erik B Lehman2, Faisal Aziz3.   

Abstract

BACKGROUND: Frailty has been increasingly used as a prognostic indicator for various surgical operations. Patients with peripheral arterial disease represent a cohort of population with advanced medical comorbidities. The aim of this study is to correlate the postoperative outcomes after lower extremity bypass surgery with preoperative modified frailty index (mFI).
METHODS: Using 2010 American College of Surgeons National Surgical Quality Improvement Program database, patients undergoing infrainguinal arterial bypass surgery were identified. mFI with 11 variables, based on the Canadian Study of Health and Aging Frailty Index, was utilized. Based on mFI score, the patients were divided into 4 groups: group 1 (mFI score: 0-0.09), group 2 (mFI score: 0.18-0.27), group 3 (mFI score: 0.36-0.45), and group 4 (mFI score: 0.54-0.63). A bivariate and multivariate analysis was done using logistic regression analysis.
RESULTS: A total of 4,704 patients (64% males and 36% females) underwent infrainguinal arterial bypass. Mean age was 67.9 ± 11.7 years. Distribution of patients based on mFI was as follows: group 1: 14.6%, group 2: 55.9%, group 3: 26.9%, and group 4: 2.6%. Increase in mFI was associated with higher mortality rates. Incidence of mortality for group 1 was 0.6%; for group 2, it was 1.4%; for group 3, it was 4%; and for group 4, it was 7.4%. Likewise, the incidence of other postoperative complications such as myocardial infarction (MI), stroke, progressive renal failure, and graft failure was significantly high among patients with high mFI scores. Following factors were associated with increased risk of mortality: high mFI score, black race, dialysis dependency, postoperative renal insufficiency, MI, and postoperative acute renal failure.
CONCLUSIONS: This study demonstrates that the mFI can be used as a valuable tool to identify patients at a higher risk for developing postoperative complications after lower extremity revascularization. For patients with mFI score of 0.54-0.63, the risk of mortality and complications increases significantly. mFI can be used as a useful screening tool to identify patients who are at a high risk for developing complications.
Copyright © 2017 Elsevier Inc. All rights reserved.

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Year:  2017        PMID: 28739453     DOI: 10.1016/j.avsg.2017.07.007

Source DB:  PubMed          Journal:  Ann Vasc Surg        ISSN: 0890-5096            Impact factor:   1.466


  10 in total

1.  Impact of frailty on outcomes in surgical patients: A systematic review and meta-analysis.

Authors:  A C Panayi; A R Orkaby; D Sakthivel; Y Endo; D Varon; D Roh; D P Orgill; R L Neppl; H Javedan; S Bhasin; I Sinha
Journal:  Am J Surg       Date:  2018-11-27       Impact factor: 2.565

2.  A 'hot clinic' for cold limbs: the benefit of urgent clinics for patients with critical limb ischaemia.

Authors:  A Khan; M Hughes; M Ting; G Riding; J Simpson; A Egun; M Banihani
Journal:  Ann R Coll Surg Engl       Date:  2020-04-20       Impact factor: 1.891

3.  The immense heterogeneity of frailty in neurosurgery: a systematic literature review.

Authors:  Julia Pazniokas; Chirag Gandhi; Brianna Theriault; Meic Schmidt; Chad Cole; Fawaz Al-Mufti; Justin Santarelli; Christian A Bowers
Journal:  Neurosurg Rev       Date:  2020-01-17       Impact factor: 3.042

4.  Discharge to a Post-Acute Care Facility after Emergent Femoral Artery Repair is Not Protective Against Wound Complications.

Authors:  Joseph Anderson; Ryan King; Thomas Brothers; Jacob Robison; Ravi Veeraswamy; Mathew Wooster; Rupak Mukherjee; Jean Marie Ruddy
Journal:  Ann Vasc Surg       Date:  2020-01-07       Impact factor: 1.466

Review 5.  Frailty In Patients Undergoing Vascular Surgery: A Narrative Review Of Current Evidence.

Authors:  Nikoletta Rahel Czobor; Jean-Jacques Lehot; Eniko Holndonner-Kirst; Phillip J Tully; Janos Gal; Andrea Szekely
Journal:  Ther Clin Risk Manag       Date:  2019-10-17       Impact factor: 2.423

Review 6.  Frailty-aware care: giving value to frailty assessment across different healthcare settings.

Authors:  Kevin F Boreskie; Jacqueline L Hay; Patrick E Boreskie; Rakesh C Arora; Todd A Duhamel
Journal:  BMC Geriatr       Date:  2022-01-03       Impact factor: 3.921

7.  Frail patients having vascular surgery during the early COVID-19 pandemic experienced high rates of adverse perioperative events and amputation.

Authors:  Sarah J Aitken; Bernard Allard; Nishath Altaf; Noel Atkinson; Omar Aziz; Ruth Battersby; Ruth Benson; Jennifer L Chambers; Gabriella Charlton; Chloe Coleman; Joseph A Dawson; Anastasia Dean; Bedanta S Dhal; Robert Fitridge; John Gan; Joseph Hanna; Andrew T Hattam; Martin Hein; Kay Hon; Samantha Khoo; Joseph Kilby; Beatrice Kuang; Kai Wen Leong; Eunice Lim; Ju-Wei N Liu; David N McClure; Shreya Mehta; Jana-Lee Moss; Juanita Muller; Korana Musicki; Sandip Nandhra; Michael J Papanikolas; Fernando Picazo Pineda; Franklin Pond; Nandhini Ravintharan; Toby Richards; Hani Saeed; Christopher N Selvaraj; Gurkirat Singh; Yogeesan Sivakumaran; Bethany M Stavert; Elizabeth Suthers; Robert Tang; Vincent C Varley; Thodur M Vasudevan; Uyen G Vo; Timothy Wagner; Judy Wang; Jackie Wong
Journal:  ANZ J Surg       Date:  2022-06-08       Impact factor: 2.025

8.  5-mFI is more accurate than ASA score in predicting postoperative mortality in rectal cancer: A case series of 109 patients.

Authors:  Mahdi Bouassida; Hazem Beji; Yessin Kallel; Mohamed Fadhel Chtourou; Houda Belfkih; Bacem Trabelsi; Hassen Touinsi
Journal:  Ann Med Surg (Lond)       Date:  2022-09-01

9.  Identifying high-risk surgical patients: A study of older adults whose code status changed to Do-Not-Resuscitate.

Authors:  Hadiza S Kazaure; Tracy Truong; Maragatha Kuchibhatla; Sandhya Lagoo-Deenadayalan; Sherry M Wren; Kimberly S Johnson
Journal:  J Am Geriatr Soc       Date:  2021-07-31       Impact factor: 5.562

10.  Comparison of three frailty measures for 90-day outcomes of elderly patients undergoing elective abdominal surgery.

Authors:  Yanyan Yin; Li Jiang; Lixin Xue
Journal:  ANZ J Surg       Date:  2020-10-05       Impact factor: 1.872

  10 in total

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