TY - JOUR
T1 - Association of dysfunction of vascular access for hemodialysis with major adverse cardiovascular events ― a group-based trajectory model analysis ―
AU - Kuo, Te Hui
AU - Lu, Chin Li
AU - Chang, Ya Hui
AU - Li, Chung Yi
N1 - Funding Information:
This research was supported by the NCKUH-10302005, 10903028 grants from the National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
Publisher Copyright:
© 2020 Japanese Circulation Society. All rights reserved.
PY - 2020
Y1 - 2020
N2 - 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.
AB - 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.
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U2 - 10.1253/circj.CJ-19-1036
DO - 10.1253/circj.CJ-19-1036
M3 - Article
C2 - 32321881
AN - SCOPUS:85085264025
SN - 1346-9843
VL - 84
SP - 1004
EP - 1011
JO - Circulation Journal
JF - Circulation Journal
IS - 6
ER -