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Published on: June 2, 2022
Evaluation of the Effectiveness of Screening for Iliac Arterial Calcification in Kidney Transplant Candidates
Stephanie A DeBolle1, Ivy A Ochieng1, Anjan K Saha1
1Department of Surgery, University of Michigan, Ann Arbor, MI, USA.
Insights
Computed tomography (CT) screening for iliac arterial calcification in kidney transplant candidates identified significant prevalence. While calcification impacts candidacy, most patients with it still proceed to transplantation, highlighting CT
Area of Science:
- Nephrology
- Cardiovascular Surgery
- Radiology
Background:
- Peripheral vascular disease and iliac arterial calcification are common in kidney transplant candidates.
- These conditions can negatively impact kidney graft outcomes.
- Computed tomography (CT) screening is utilized to assess iliac arterial calcification.
Purpose of the Study:
- To evaluate the experience with CT screening for iliac arterial calcification in kidney transplant candidates.
- To determine the prevalence of iliac arterial calcification in this population.
- To assess the impact of calcification on transplant candidacy and outcomes.
Main Methods:
- Retrospective review of 493 renal transplant candidates' medical records.
- Non-contrast CT scans were performed or reviewed based on specific risk criteria (diabetes, ESRD duration, smoking history, PVD, parathyroidectomy, CAD intervention).
- Statistical analysis, including chi-squared tests and multivariate logistic regression, was used to compare outcomes and identify predictors of calcification.
Main Results:
- CT scans were reviewed in 346 (70.2%) candidates.
- Iliac arterial calcification was identified in 119 screened candidates (34.4%).
- Of those with calcification, 13.4% were excluded and 7.6% had surgical plans altered; however, 76.5% were still approved for transplantation. Calcification prevalence increased with age, and age and diabetes were predictive factors.
Conclusions:
- A significant proportion of kidney transplant candidates exhibit iliac arterial calcification.
- While calcification can affect transplant eligibility and surgical plans, it does not preclude transplantation for the majority.
- Algorithmic pre-operative CT screening is valuable for assessing transplant candidacy and potentially improving outcomes.
Abstract:
BACKGROUND Peripheral vascular disease and iliac arterial calcification are prevalent in kidney transplant candidates and jeopardize graft outcomes. We report our experience with computed tomography (CT) screening for iliac arterial calcification. MATERIAL AND METHODS We retrospectively reviewed electronic medical records of 493 renal transplant candidates from protocol initiation in 2014. Non-contrast CT was performed or retrospectively reviewed if any of the following criteria were present: diabetes, ESRD >6 years, 25 pack-years of smoking or current smoker, diagnosis of peripheral vascular disease, parathyroidectomy, and coronary artery disease intervention. Differences in evaluation and transplant outcomes between groups were compared with chi-squared analysis. Multivariate logistic regression identified predictive criteria for presence of iliac arterial calcification. RESULTS Of 493 candidates evaluated, CTs were reviewed in 346 (70.2%). Iliac arterial calcification was identified in 119 screened candidates (34.4%). Of candidates with iliac arterial calcification identified on CT, 16 (13.4%) were excluded for CT findings, and 9 (7.6%) had their surgical management plan changed. Overall, 91 (76.5%) candidates with iliac arterial calcification on CT were approved, compared to 203 (89.4%) without calcification (P<0.001). The percentage of screened patients with iliac arterial calcification on CT increased with increasing age (P<0.0005). Age and diabetes mellitus were predictive of calcification. CONCLUSIONS Many kidney transplant candidates are at risk for iliac arterial calcification, although such calcification does not prevent transplantation for most candidates who have it. Algorithmic pre-operative screening has clinical value in determining transplant candidacy and potentially improving postoperative outcomes in patients requiring kidney transplantation.
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