The abdominal waist circumference and 4-year outcomes following peripheral bypass grafting.
Autor: | Waduud MA; Leeds Institute for Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK - m.a.waduud@leeds.ac.uk., Sucharitkul PP; Leeds Institute for Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK., Giannoudi M; Leeds Vascular Institute, Leeds General Infirmary, Leeds Teaching Hospitals NHS Trust, Leeds, UK., Bailey MA; Leeds Institute for Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK., Scott DJ; Leeds Vascular Institute, Leeds General Infirmary, Leeds Teaching Hospitals NHS Trust, Leeds, UK. |
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Jazyk: | angličtina |
Zdroj: | International angiology : a journal of the International Union of Angiology [Int Angiol] 2021 Jun; Vol. 40 (3), pp. 213-221. Date of Electronic Publication: 2021 Mar 19. |
DOI: | 10.23736/S0392-9590.21.04642-3 |
Abstrakt: | Background: Current literature evaluating the relationship between obesity, utilizing measures other than the Body Mass Index (BMI), and postoperative outcomes following vascular surgery are sparse. This study aimed to investigate any association between abdominal waist circumference (AWC) and waist-hip ratio (WHR) in relation to postoperative morbidity and mortality following peripheral artery bypass graft (PABG) surgery. Methods: AWC and hip circumference (HC) were measured from pre-intervention magnetic resonance (MR) and computed tomography (CT) scans of patients undergoing elective and nonelective PABG. The AWC and WHR were assessed in relation to: the need for higher level care (i.e. level 2/3), the duration of higher level care, postoperative limb ischemia, postoperative hospital stay, graft patency on discharge and 30 day readmission, using logistic and linear regression analysis. Mortality was assessed using cox-regression analysis with calculation of hazard ratios at 30 days and 4 years. Results: In total, 177 patient images performed between January 2014 to January 2017 were analyzed. There were no significant intra-observer and interobserver differences in measurements of AWC and HC. Pre-intervention AWC was predictive of the need for higher level care following non-elective PABG (adjusted OR 1.1 [95% CI: 1.0-1.1, P=0.026]). An inverse relationship between AWC and mortality at 4 years was also observed (adjusted HR=0.9, 95% CI: 0.9-1.0, P=0.028). However, pre-intervention WHR failed to predict mortality and morbidity. Conclusions: AWC may potentially be a suitable risk stratification tool in patients undergoing non-elective PABG. The association of AWC with long-term mortality outcomes require further investigation so that suitable cut-off values may be determined. |
Databáze: | MEDLINE |
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