Background
Frailty syndrome is an established predictor of adverse outcomes after carotid surgery.
Recently, a modified 5-factor National Surgical Quality Improvement Program frailty
index has been used; however, its utility in vascular procedures is unclear. The aim
of our study was to compare the 5-factor modified frailty index (mFI-5) with the 11-factor
modified frailty index (mFI-11) regarding value and predictive ability for mortality,
postoperative infection, and unplanned 30-day readmission.
Methods
The mFI was calculated by dividing the number of factors present for a patient by
the number of available factors for which there were no missing data. Spearman rho
test was used to assess the correlation between the mFI-5 and mFI-11. Predictive models,
using both unadjusted and adjusted logistic regressions, were created for each outcome
for carotid endarterectomy using 2005–2012 National Surgical Quality Improvement Program
data, the last year all mFI-11 variables existed.
Results
A total of 36,000 patients were included with mean age of 74.6 ± 5.9 years, complication
rate of 10.7%, mortality rate of 3.1%, and readmission rate of 6.2%. Correlation between
mFI-5 and mFI-11 was above 0.9 across all outcomes for patients. mFI-5 had strong
predictive ability for mortality, postoperative complications, and 30-day readmission.
Conclusions
The mFI-5 and mFI-11 are equally effective predictors of postoperative outcomes in
patients undergoing carotid endarterectomy. mFI-5 is a strong predictor of postoperative
complications, mortality, and 30-day readmission.
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Article Info
Publication History
Published online: October 11, 2019
Accepted:
October 2,
2019
Received:
April 10,
2019
Footnotes
Presented as an oral presentation at the Vascular and Endovascular Surgery Society Winter Meeting at Snowbird, Utah, January 31–March 2, 2019.
Conflicts of interest: The authors report no proprietary or commercial interest in any product mentioned or concept discussed in this article.
Funding: This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.
Identification
Copyright
© 2019 Elsevier Inc. All rights reserved.

