Cited by 20Acute Kidney Injury ResearchChronic Kidney Disease and DiabetesPeripheral Artery Disease Management

The DOI matches its Crossref record; the references it cites are not checked yet.

Acute Kidney Injury Following In-Patient Lower Extremity Vascular Intervention

Open access

Abstract

Objectives The authors analyzed data from the NCDR (National Cardiovascular Data Registry) PVI Registry and defined acute kidney injury (AKI) as increased creatinine of ≥0.3 mg/dl or 50%, or a new requirement for dialysis after PVI. Background AKI is an important and potentially modifiable complication of peripheral vascular intervention (PVI). The incidence, predictors, and outcomes of AKI after PVI are incompletely characterized. Methods A hierarchical logistic regression risk model using pre-procedural characteristics associated with AKI was developed, followed by bootstrap validation. The model was validated with data submitted after model creation. An integer scoring system was developed to predict AKI after PVI. Results Among 10,006 procedures, the average age of patients was 69 years, 58% were male, and 52% had diabetes. AKI occurred in 737 (7.4%) and was associated with increased in-hospital mortality (7.1% vs. 0.7%). Reduced glomerular filtration rate, hypertension, diabetes, prior heart failure, critical or acute limb ischemia, and pre-procedural hemoglobin were independently associated with AKI. The model to predict AKI showed good discrimination (optimism corrected c-statistic = 0.68) and calibration (corrected slope = 0.97, intercept of -0.07). The integer point system could be incorporated into a useful clinical tool because it discriminates risk for AKI with scores ≤4 and ≥12 corresponding to the lower and upper 20% of risk, respectively. Conclusions AKI is not rare after PVI and is associated with in-hospital mortality. The NCDR PVI AKI risk model, including the integer scoring system, may prospectively estimate AKI risk and aid in deployment of strategies designed to reduce risk of AKI after PVI.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.jcin.2020.10.028

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

The citation lists haven’t been fetched yet

References 40 · Cited by 20

Research works printed but not linked: 38

  1. Tsai, 2014, Contemporary incidence, predictors, and outcomes of acute kidney injury in patients undergoing percutaneous coronary interventions: insights from the NCDR Cath-PCI registry, J Am Coll Cardiol Intv, 7, 1, 10.1016/j.jcin.2013.06.016 · DOI
  2. Tsai, 2014, Validated contemporary risk model of acute kidney injury in patients undergoing percutaneous coronary interventions: insights from the National Cardiovascular Data Registry Cath-PCI Registry, J Am Heart Assoc, 3
  3. Amin, 2019, Reducing acute kidney injury and costs of percutaneous coronary intervention by patient-centered, evidence-based contrast use, Circ Cardiovasc Qual Outcomes, 12, 10.1161/CIRCOUTCOMES.118.004961 · DOI
  4. Prasad, 2016, Acute kidney injury following peripheral angiography and endovascular therapy: a systematic review of the literature, Catheter Cardiovasc Interv, 88, 264
  5. Prasad, 2019, Acute kidney injury in patients undergoing endovascular therapy for critical limb ischemia, Catheter Cardiovasc Interv, 94, 636
  6. Grossman, 2017, Contrast-induced nephropathy in patients undergoing endovascular peripheral vascular intervention: incidence, risk factors, and outcomes as observed in the Blue Cross Blue Shield of Michigan Cardiovascular Consortium, J Interv Cardiol, 30, 274, 10.1111/joic.12379 · DOI
  7. Lipinski, 2016, Contrast-induced nephropathy and peripheral intervention: who's keeping track?, Catheter Cardiovascular Interv, 88, 274
  8. Mehta, 2007, Acute Kidney Injury Network: report of an initiative to improve outcomes in acute kidney injury, Critical Care, 11, R31, 10.1186/cc5713 · DOI
  9. Messenger, 2012, The National Cardiovascular Data Registry (NCDR) Data Quality Brief: the NCDR Data Quality Program in 2012, J Am Coll Cardiol, 60, 1484, 10.1016/j.jacc.2012.07.020 · DOI
  10. Levey, 2003, National Kidney Foundation practice guidelines for chronic kidney disease: evaluation, classification, and stratification, Ann Intern Med, 139, 137, 10.7326/0003-4819-139-2-200307150-00013 · DOI · Paper page
  11. Sigterman, 2016, Contrast induced nephropathy and long-term renal decline after percutaneous transluminal angioplasty for symptomatic peripheral arterial disease, Eur J Vasc Endovasc Surg, 51, 386, 10.1016/j.ejvs.2015.08.023 · DOI
  12. Lee, 2020, Risk factors and safe contrast volume thresholds for postcontrast acute kidney injury after peripheral vascular interventions, J Vasc Surg, 72, 603, 10.1016/j.jvs.2019.09.059 · DOI
  13. Weisbord, 2020, Contrast-associated acute kidney injury and serious adverse outcomes following angiography, J Am Coll Cardiol, 75, 1311, 10.1016/j.jacc.2020.01.023 · DOI
  14. Bodewes, 2017, Risk factors for 30-day unplanned readmission following infrainguinal endovascular interventions, J Vasc Surg, 65, 484, 10.1016/j.jvs.2016.08.093 · DOI
  15. Hess, 2018, Major adverse limb events and 1-year outcomes after peripheral artery revascularization, J Am Coll Cardiol, 72, 999, 10.1016/j.jacc.2018.06.041 · DOI
  16. Chertow, 2005, Acute kidney injury, mortality, length of stay, and costs in hospitalized patients, J Am Soc Nephrol, 16, 3365, 10.1681/ASN.2004090740 · DOI
  17. Cury, 2018, The incidence, risk factors, and outcomes of contrast-induced nephropathy in patients with critical limb ischemia following lower limb angiography, Angiology, 69, 700, 10.1177/0003319718754984 · DOI
  18. Takahashi, 2017, Predictors and outcomes of postcontrast acute kidney injury after endovascular renal artery intervention, J Vasc Interv Radiol, 28, 1687, 10.1016/j.jvir.2017.07.038 · DOI
  19. Sigterman, 2016, Loss of kidney function in patients with critical limb ischemia treated endovascularly or surgically, J Vasc Surg, 64, 362, 10.1016/j.jvs.2016.03.409 · DOI
  20. Sigterman, 2017, Loss of kidney function after endovascular treatment of peripheral arterial disease, Ann Vasc Surg, 40, 231, 10.1016/j.avsg.2016.07.100 · DOI
  21. Martinez-Rico, 2017, Contrast-induced nephropathy: a fact or fiction in lower limb revascularization?, Ann Vasc Surg, 44, 277, 10.1016/j.avsg.2017.03.193 · DOI
  22. Brar, 2014, Haemodynamic-guided fluid administration for the prevention of contrast-induced acute kidney injury: the POSEIDON randomised controlled trial, Lancet, 383, 1814, 10.1016/S0140-6736(14)60689-9 · DOI
  23. Qian, 2016, Prevention of contrast-induced nephropathy by central venous pressure-guided fluid administration in chronic kidney disease and congestive heart failure patients, J Am Coll Cardiol Intv, 9, 89, 10.1016/j.jcin.2015.09.026 · DOI
  24. Zhao, 2019, Comparative effect of iso-osmolar versus low-osmolar contrast media on the incidence of contrast-induced acute kidney injury in diabetic patients: a systematic review and meta-analysis, Cancer Imaging, 19, 38, 10.1186/s40644-019-0224-6 · DOI
  25. Gurm, 2019, Minimizing radiographic contrast administration during coronary angiography using a novel contrast reduction system: a multicenter observational study of the DyeVert plus contrast reduction system, Catheter Cardiovasc Interv, 93, 1228
  26. Mehran, 2018, Effect of a contrast modulation system on contrast media use and the rate of acute kidney injury after coronary angiography, J Am Coll Cardiol Intv, 11, 1601, 10.1016/j.jcin.2018.04.007 · DOI
  27. Han, 2014, Short-term rosuvastatin therapy for prevention of contrast-induced acute kidney injury in patients with diabetes and chronic kidney disease, J Am Coll Cardiol, 63, 62, 10.1016/j.jacc.2013.09.017 · DOI
  28. Leoncini, 2014, J Am Coll Cardiol, 63, 71, 10.1016/j.jacc.2013.04.105 · DOI
  29. Quintavalle, 2012, Impact of a high loading dose of atorvastatin on contrast-induced acute kidney injury, Circulation, 126, 3008, 10.1161/CIRCULATIONAHA.112.103317 · DOI
  30. Ghumman, 2017, Contrast induced-acute kidney injury following peripheral angiography with carbon dioxide versus iodinated contrast media: Aa meta-analysis and systematic review of current literature, Catheter Cardiovasc Interv, 90, 437
  31. Swanberg, 2015, Ultra-low iodine concentrations iso-attenuating with diagnostic 0.5M gadolinium in endovascular procedures to minimize the risk of contrast nephropathy: a phantom study, Eur J Radiol, 84, 1068, 10.1016/j.ejrad.2015.03.014 · DOI
  32. Marckmann, 2006, Nephrogenic systemic fibrosis: suspected causative role of gadodiamide used for contrast-enhanced magnetic resonance imaging, J Am Soc Nephrol, 17, 2359, 10.1681/ASN.2006060601 · DOI
  33. Maioli, 2010, Preprocedural score for risk of contrast-induced nephropathy in elective coronary angiography and intervention, J Cardiovasc Med, 11, 444, 10.2459/JCM.0b013e328335227c · DOI
  34. Finn, 2006, The clinical and renal consequences of contrast-induced nephropathy, Nephrol Dial Transplant, 21, i2, 10.1093/ndt/gfl213 · DOI
  35. Gurm, 2011, Renal function-based contrast dosing to define safe limits of radiographic contrast media in patients undergoing percutaneous coronary interventions, J Am Coll Cardiol, 58, 907, 10.1016/j.jacc.2011.05.023 · DOI
  36. Giacoppo, 2014, Meta-analysis of randomized controlled trials of preprocedural statin administration for reducing contrast-induced acute kidney injury in patients undergoing coronary catheterization, Am J Cardiol, 114, 541, 10.1016/j.amjcard.2014.05.036 · DOI
  37. Desch, 2018, Impact of a novel contrast reduction system on contrast savings in coronary angiography: the DyeVert randomised controlled trial, Int J Cardiol, 257, 50, 10.1016/j.ijcard.2017.12.107 · DOI
  38. Bhardwaj, 2019, Bleeding complications in lower-extremity peripheral vascular interventions: insights from the NCDR PVI registry, J Am Coll Cardiol Intv, 12, 1140, 10.1016/j.jcin.2019.03.012 · DOI

Metadata

Authors
Safley, D. M., Salisbury, A. C., Tsai, T. T., Secemsky, E. A., Kennedy, K. F., Rogers, R. K., Latif, F., Shammas, N. W., Garcia, L., Cavender, M. A., Rosenfield, K., Prasad, A., & Spertus, J. A.
Affiliations
  • Saint Luke's Hospital (US)
  • Kaiser Permanente (US)
  • Beth Israel Deaconess Medical Center (US)
  • University of Colorado Anschutz (US)
  • Oklahoma City VA Medical Center (US)
  • Midwest Cardiovascular Research Foundation (US)
  • Tufts University (US)
  • University of North Carolina at Chapel Hill (US)
  • Massachusetts General Hospital (US)
  • The University of Texas at San Antonio Health Science Center (US)
Corresponding author
Safley, David M.
Venue
JACC: Cardiovascular Interventions
Publisher
Elsevier BV
Published
2021-02
Volume
14
Issue
3
Pages
333-341
ISSN
  • 1876-7605 (ISSN-L)
  • 1936-8798
OpenAlex
W3126633676
Cited by
20
References
40
Citations by year
2026: 2 · 2025: 6 · 2024: 1 · 2023: 5 · 2022: 3 · 2021: 3
FWCI
2.06
Type
journal article
Language
en
Open access
Locations
  • JACC: Cardiovascular Interventions (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
Funders
American College of Cardiology Foundation
Topics
  • Health Sciences › Medicine › Nephrology › Acute Kidney Injury Research
  • Health Sciences › Medicine › Nephrology › Chronic Kidney Disease and Diabetes
  • Health Sciences › Medicine › Surgery › Peripheral Artery Disease Management
Keywords
acute kidney injury, peripheral vascular intervention, risk prediction model, in-hospital mortality, risk scoring, reduced glomerular filtration rate, diabetes mellitus, acute limb ischemia, dialysis requirement
MeSH terms
Aged, Aged, 80 and over, Female, Humans, Male, Middle Aged, Registries, Retrospective Studies, Risk Factors, Incidence, Treatment Outcome, Risk Assessment, Lower Extremity, Acute Kidney Injury

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review