Impact of Chronic Kidney Disease on Outcomes following Vascular Procedure in the Vascular Quality Initiative.


Journal

Annals of surgery
ISSN: 1528-1140
Titre abrégé: Ann Surg
Pays: United States
ID NLM: 0372354

Informations de publication

Date de publication:
04 Sep 2024
Historique:
medline: 4 9 2024
pubmed: 4 9 2024
entrez: 4 9 2024
Statut: aheadofprint

Résumé

Chronic kidney disease (CKD) increases morbidity and mortality in most vascular procedures. However, a binary classification of estimated glomerular filtration rate (eGFR) <60 mL/min/1.73 m2, which is often used in both modeling and clinical trials, may not be optimal for predicting clinical outcomes. Determine the optimal eGFR cutoff for use in risk stratification and prediction models. Vascular Quality Initiative (VQI) data for non-emergent, first-time OAR, EVAR, TEVAR, CEA, CAS, PVI, Supra- and infra-inguinal bypass were analyzed from to 2013-2023 and divided into cohorts based on eGFR (≥60, 45-59, 30-44, <30, and preoperative dialysis). χ2 and logistic regression were used to evaluate perioperative outcomes. Compared to patients with eGFR ≥60, those with eGFR 45-59 had similar odds of mortality following all procedures, except TEVAR. Driven by this group, the combined cohort showed a slight increase in the odds of mortality for eGFR 45-59 (0.6% vs. 0.7%, aOR 1.16, P=0.002). Those in the 30-44 group demonstrated increased odds of mortality both overall and in the individual procedure groups (0.6% vs. 1.2%, aOR 1.78, P<0.001). The odds of mortality continued to increase with worsening eGFR. The overall rate of new permanent dialysis was low for all eGFR cohorts, with a 0.02% difference between those with eGFR >60 and those in the 45-59 cohort (0.04% vs. 0.06%; a OR 1.65, P<0.001). The odds of permanent dialysis likewise continued to increase with decreasing eGFR. Rather than a binary eGFR cutoff of ≥60 and <60 to stratify patient risk, better risk stratification may be achieved by using five groups of ≥60, 45-59, 30-44, <30, and preoperative dialysis.

Sections du résumé

BACKGROUND BACKGROUND
Chronic kidney disease (CKD) increases morbidity and mortality in most vascular procedures. However, a binary classification of estimated glomerular filtration rate (eGFR) <60 mL/min/1.73 m2, which is often used in both modeling and clinical trials, may not be optimal for predicting clinical outcomes.
OBJECTIVE OBJECTIVE
Determine the optimal eGFR cutoff for use in risk stratification and prediction models.
METHODS METHODS
Vascular Quality Initiative (VQI) data for non-emergent, first-time OAR, EVAR, TEVAR, CEA, CAS, PVI, Supra- and infra-inguinal bypass were analyzed from to 2013-2023 and divided into cohorts based on eGFR (≥60, 45-59, 30-44, <30, and preoperative dialysis). χ2 and logistic regression were used to evaluate perioperative outcomes.
RESULTS RESULTS
Compared to patients with eGFR ≥60, those with eGFR 45-59 had similar odds of mortality following all procedures, except TEVAR. Driven by this group, the combined cohort showed a slight increase in the odds of mortality for eGFR 45-59 (0.6% vs. 0.7%, aOR 1.16, P=0.002). Those in the 30-44 group demonstrated increased odds of mortality both overall and in the individual procedure groups (0.6% vs. 1.2%, aOR 1.78, P<0.001). The odds of mortality continued to increase with worsening eGFR. The overall rate of new permanent dialysis was low for all eGFR cohorts, with a 0.02% difference between those with eGFR >60 and those in the 45-59 cohort (0.04% vs. 0.06%; a OR 1.65, P<0.001). The odds of permanent dialysis likewise continued to increase with decreasing eGFR.
CONCLUSIONS CONCLUSIONS
Rather than a binary eGFR cutoff of ≥60 and <60 to stratify patient risk, better risk stratification may be achieved by using five groups of ≥60, 45-59, 30-44, <30, and preoperative dialysis.

Identifiants

pubmed: 39229713
doi: 10.1097/SLA.0000000000006520
pii: 00000658-990000000-01059
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024 Wolters Kluwer Health, Inc. All rights reserved.

Déclaration de conflit d'intérêts

Conflicts of Interest: MS serves as a PI for clinical trials with Medtronic, Shape Memory Medical and Silk Road Medical

Auteurs

Elisa Caron (E)

Divisions of Vascular and Endovascular Surgery, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston MA.
Division of Vascular and Endovascular Surgery, St Elizabeth's Medical Center, Boston University School of Medicine, Boston MA.

Sai Divya Yadavalli (SD)

Divisions of Vascular and Endovascular Surgery, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston MA.

Mohit Manchella (M)

Divisions of Vascular and Endovascular Surgery, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston MA.

Gabriel Jabbour (G)

Divisions of Vascular and Endovascular Surgery, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston MA.

Jorge L Gomez-Mayorga (JL)

Divisions of Vascular and Endovascular Surgery, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston MA.

Roger B Davis (RB)

Division of General Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston MA.

Virendra I Patel (VI)

Division of Vascular Surgery and Endovascular Interventions, Columbia University Irving Medical Center, New York, NY.

David H Stone (DH)

Section of Vascular Surgery, Dartmouth Hitchcock Medical Center, Lebanon, NH.

Mark F Conrad (MF)

Division of Vascular and Endovascular Surgery, St Elizabeth's Medical Center, Boston University School of Medicine, Boston MA.

Marc L Schermerhorn (ML)

Divisions of Vascular and Endovascular Surgery, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston MA.

Classifications MeSH