Annals of Vascular Diseases
Online ISSN : 1881-6428
Print ISSN : 1881-641X
ISSN-L : 1881-641X
Original Article
Prognostic Value of Nutritional Markers for Long-Term Mortality in Patients Undergoing Endovascular Aortic Repair
Toshiya Nishibe Masaki KanoRyumon MatsumotoHitoshi OginoJun KoizumiAlan Dardik
Author information
JOURNAL OPEN ACCESS

2023 Volume 16 Issue 2 Pages 124-130

Details
Abstract

Objective: The relationship between nutritional status and morbidity and death in a number of diseases and disorders has garnered considerable attension. In patients having endovascular aneurysm repair (EVAR) for abdominal aortic aneurysms (AAA), we assessed the prognostic value of nutritional markers of albumin (ALB), body mass index (BMI), and geriatric nutritional risk index (GNRI) for long-term mortality.

Materials and Methods: Retrospective data analysis was done on patients who had undergone elective EVAR for AAA more than 5 years earlier.

Results: A total of 176 patients underwent EVAR for AAA between March 2012 and April 2016. The optimal cutoff value of ALB, BMI, and GNRI for predicting long-term mortality was calculated as 3.75 g/dL (area under the curve [AUC] 0.64), 21.4 kg/m2 (AUC 0.65), and 101.4 (AUC 0.70), respectively. Low ALB, low BMI, and low GNRI as well as age ≥75 years, chronic obstructive pulmonary disease, chronic kidney disease, and active cancer were independent risk factors for long-term mortality.

Conclusion: Malnutrition, which is measured by ALB, BMI, and GNRI, is an independent risk factor for long-term mortality in patients receiving EVAR for AAA. Of the nutritional markers, the GNRI can be the most reliable nutritional indicator to identify a potentially high-risk group of mortality after EVAR.

Content from these authors
© 2023 The Editorial Committee of Annals of Vascular Diseases. This article is distributed under the terms of the Creative Commons Attribution License, which permits use, distribution, and reproduction in any medium, provided the credit of the original work, a link to the license, and indication of any change are properly given, and the original work is not used for commercial purposes. Remixed or transformed contributions must be distributed under the same license as the original.

This article is licensed under a Creative Commons [Attribution-NonCommercial-ShareAlike 4.0 International] license.
https://creativecommons.org/licenses/by-nc-sa/4.0/
Previous article Next article
feedback
Top