Association of Dysfunction of Vascular Access for Hemodialysis With Major Adverse Cardiovascular Events - A Group-Based Trajectory Model Analysis.


Journal

Circulation journal : official journal of the Japanese Circulation Society
ISSN: 1347-4820
Titre abrégé: Circ J
Pays: Japan
ID NLM: 101137683

Informations de publication

Date de publication:
25 05 2020
Historique:
pubmed: 24 4 2020
medline: 15 12 2020
entrez: 24 4 2020
Statut: ppublish

Résumé

An unconventional risk factor, "dysfunction of hemodialysis vascular access", was demonstrated to be associated with subsequent major adverse cardiovascular events (MACE) in our previous study. However, applying this suggestion in a clinical scenario may be not intuitive. A group-based trajectory model was applied to further recognize those patients with the highest risks for MACE.Methods and Results:In a cohort of patients who received hemodialysis from 2001 to 2010, we identified 9,711 cases that developed MACE in the stage of stable maintenance dialysis, and 19,422 randomly selected controls matched to cases on age, gender and duration of dialysis. Events of vascular access dysfunction in the 6-month period before MACE for cases and index dates for controls were evaluated. By group-based trajectory modeling, patients according to their counts of vascular access dysfunction in each month over the 6-month period prior to MACE or index dates were categorized. There were 26,744 patients in group 1 (no dysfunction), 650 in group 2 (escalating dysfunction) and 1,739 in group 3 (persistent dysfunction). Logistic regression analysis indicated that patients in group 3 had the highest chance of subsequent MACE (odds ratio 2.47, in comparison with group 1) after controlling for all the available potential confounders. Uninterrupted clusters of vascular access dysfunction are associated with a higher risk of subsequent MACE.

Sections du résumé

BACKGROUND
An unconventional risk factor, "dysfunction of hemodialysis vascular access", was demonstrated to be associated with subsequent major adverse cardiovascular events (MACE) in our previous study. However, applying this suggestion in a clinical scenario may be not intuitive. A group-based trajectory model was applied to further recognize those patients with the highest risks for MACE.Methods and Results:In a cohort of patients who received hemodialysis from 2001 to 2010, we identified 9,711 cases that developed MACE in the stage of stable maintenance dialysis, and 19,422 randomly selected controls matched to cases on age, gender and duration of dialysis. Events of vascular access dysfunction in the 6-month period before MACE for cases and index dates for controls were evaluated. By group-based trajectory modeling, patients according to their counts of vascular access dysfunction in each month over the 6-month period prior to MACE or index dates were categorized. There were 26,744 patients in group 1 (no dysfunction), 650 in group 2 (escalating dysfunction) and 1,739 in group 3 (persistent dysfunction). Logistic regression analysis indicated that patients in group 3 had the highest chance of subsequent MACE (odds ratio 2.47, in comparison with group 1) after controlling for all the available potential confounders.
CONCLUSIONS
Uninterrupted clusters of vascular access dysfunction are associated with a higher risk of subsequent MACE.

Identifiants

pubmed: 32321881
doi: 10.1253/circj.CJ-19-1036
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1004-1011

Auteurs

Te-Hui Kuo (TH)

Division of Nephrology, Department of Internal Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University.
Department of Public Health, College of Medicine, National Cheng Kung University.

Chin-Li Lu (CL)

Graduate Institute of Food Safety, College of Agriculture and Natural Resources, National Chung Hsing University.

Ya-Hui Chang (YH)

Department of Public Health, College of Medicine, National Cheng Kung University.

Chung-Yi Li (CY)

Department of Public Health, College of Medicine, National Cheng Kung University.
Department of Public Health, College of Public Health, China Medical University.
Department of Healthcare Administration, College of Medical and Health Science, Asia University.

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