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Updated: Jun 9, 2026

Vein Interposition Model: A Suitable Model to Study Bypass Graft Patency
Published on: January 15, 2017
Glycemic Variability as a Predictor of Graft Failure Following Infrainguinal Bypass for Peripheral Arterial Disease:
Daniel J Farndon1, Philip C Bennett2, Ian Nunney3
1Norfolk and Norwich Vascular Unit, Norfolk & Norwich University Hospital, Norwich, UK; Norwich Medical School, University of East Anglia, Norwich, UK.
Insights
High glycemic variability (GV) is linked to lower graft patency after infrainguinal bypass (IIB). Optimizing GV may improve outcomes for patients undergoing this procedure.
Area of Science:
- Vascular Surgery
- Endocrinology
- Metabolic Health
Background:
- Glycemic variability (GV) is associated with adverse outcomes.
- The effect of GV on infrainguinal bypass (IIB) graft patency is not well understood.
Purpose of the Study:
- To investigate the impact of GV on graft patency following IIB.
- To determine if GV is an independent predictor of IIB outcomes.
Main Methods:
- Retrospective analysis of 106 IIB cases between 2017-2019.
- Assessment of GV (visit-to-visit HbA1c change), bypass details, and patient demographics.
- Primary patency (PP) was defined by time to reintervention, amputation, or death.
Main Results:
- GV > 9.1% was associated with significantly lower median PP (198 days) compared to GV < 9.1% (713 days).
- GV > 9.1% was an independent predictor of lower PP (HR 1.96).
- Bypass level, particularly below-knee and tibial, also independently predicted lower PP.
Conclusions:
- Glycemic variability is an independent predictor of primary patency after infrainguinal bypass.
- Optimizing glycemic variability should be a therapeutic target to improve IIB outcomes.
Background:
Glycemic variability (GV), measured as the change in visit-to-visit glycated hemoglobin (HbA1c), increases the risk of multiple adverse outcomes. However, the impact of GV on graft patency following infrainguinal bypass (IIB) is unknown. A retrospective cohort study was undertaken to assess the impact of GV on graft patency.
Methods:
A 3-year single-center retrospective case notes analysis of all people undergoing IIB between 2017 and 2019. Rutherford stage, graft conduit, level of bypass, procedure details, baseline demographics, comorbidities, and GV were assessed. Time to reintervention, ipsilateral amputation, or death was recorded to determine primary patency (PP).
Results:
One hundred six IIB outcomes were analyzed: mean (± standard deviation) age 68.0 (9.2) years; 69 (65.1%) male, 37 (33.9%), 75 (70.8%) had diabetes mellitus; and 46 (43.4%) underwent elective procedures. GV > 9.1% was associated with significantly lower median PP than GV < 9.1%, 198 (97-753.5) vs. 713 (166.5-1,044.5) days (P = 0.045). On univariate analysis, GV > 9.1% vs. < 9.1% was significantly associated with PP (hazard ratio [HR] 1.85 [confidence interval {CI} 1.091-3.136], P = 0.022). Bypass level was also a univariate predictor, with below knee bypasses (HR 2.31 [CI 1.164-4.564], P = 0.017), and tibial (HR 2.00 [CI 1.022-3.090], P < 0.043) having lower PP than above knee bypasses. On multivariate adjustment, GV > 9.1% and level of bypass remained independent predictors of PP, HR 1.96 (95% CI: 1.12-3.42, P = 0.018) and HR 2.54 (95% CI: 1.24-5.22, P = 0.011), respectively.
Conclusions:
GV is an independent predictor of PP following infrainguinal bypass, thus optimizing GV should be a therapeutic target.
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