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Visit-to-visit HbA(1c) variability is associated with in-stent restenosis in patients with type 2 diabetes after percutaneous coronary intervention

BACKGROUND: Patients with type 2 diabetes are under substantially higher risk of in-stent restenosis (ISR) after coronary stent implantation. We sought to investigate whether visit-to-visit HbA(1c) variability is a potential predictor of ISR in diabetic patients after stent implantation. METHODS: We...

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Autores principales: Yang, Chen Die, Shen, Ying, Lu, Lin, Yang, Zhen Kun, Hu, Jian, Zhang, Rui Yan, Shen, Wei Feng, Ding, Feng Hua, Wang, Xiao Qun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7472579/
https://www.ncbi.nlm.nih.gov/pubmed/32887588
http://dx.doi.org/10.1186/s12933-020-01111-7
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author Yang, Chen Die
Shen, Ying
Lu, Lin
Yang, Zhen Kun
Hu, Jian
Zhang, Rui Yan
Shen, Wei Feng
Ding, Feng Hua
Wang, Xiao Qun
author_facet Yang, Chen Die
Shen, Ying
Lu, Lin
Yang, Zhen Kun
Hu, Jian
Zhang, Rui Yan
Shen, Wei Feng
Ding, Feng Hua
Wang, Xiao Qun
author_sort Yang, Chen Die
collection PubMed
description BACKGROUND: Patients with type 2 diabetes are under substantially higher risk of in-stent restenosis (ISR) after coronary stent implantation. We sought to investigate whether visit-to-visit HbA(1c) variability is a potential predictor of ISR in diabetic patients after stent implantation. METHODS: We consecutively enrolled type 2 diabetic patients who underwent successful elective percutaneous coronary intervention and performed follow-up coronary angiography after around 12 months. The incidence of ISR and its relationship with visit-to-visit HbA(1c) variability, expressed as coefficient of variation (CV), standard deviation (SD) and variability independent of the mean (VIM), were studied. Multivariable Cox proportional hazards models were constructed to analyze the predictive value of HbA(1c) variability for ISR. RESULTS: From September 2014 to July 2018 in Ruijin Hospital, a total of 420 diabetic patients (688 lesions) after stent implantation were included in the final analysis. During a mean follow-up of 12.8 ± 1.3 months, the incidence of ISR was 8.6%, which was significantly increased in patients with higher CV of HbA(1c) (P = 0.001). The mean diameter stenosis (DS), net luminal loss and net luminal gain were 22.9 ± 16.8%, 0.42 ± 0.88 mm and 1.66 ± 0.83 mm, respectively. Greater DS was observed in subjects with higher tertiles of CV of HbA(1c) (P < 0.001), and this trend was more prominent in patients with optimal glycemic control (HbA(1c) ≤ 7%) in the baseline. In multivariate analysis, HbA(1c) variability was independently associated with incidence of ISR after adjustment for traditional risk factors and mean HbA(1c) (HR: 3.00 [95% CI 1.14–7.92] for highest vs. lowest tertile). Inclusion of CV of HbA(1c) led to a better risk stratification accuracy. Assessing HbA(1c) variability by SD or VIM yielded similar findings. CONCLUSIONS: This study suggests that visit-to-visit HbA(1c) variability is an independent predictor of incidence of ISR in patients with type 2 diabetes after stent implantation. Trial registration NCT02089360: NCT
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spelling pubmed-74725792020-09-08 Visit-to-visit HbA(1c) variability is associated with in-stent restenosis in patients with type 2 diabetes after percutaneous coronary intervention Yang, Chen Die Shen, Ying Lu, Lin Yang, Zhen Kun Hu, Jian Zhang, Rui Yan Shen, Wei Feng Ding, Feng Hua Wang, Xiao Qun Cardiovasc Diabetol Original Investigation BACKGROUND: Patients with type 2 diabetes are under substantially higher risk of in-stent restenosis (ISR) after coronary stent implantation. We sought to investigate whether visit-to-visit HbA(1c) variability is a potential predictor of ISR in diabetic patients after stent implantation. METHODS: We consecutively enrolled type 2 diabetic patients who underwent successful elective percutaneous coronary intervention and performed follow-up coronary angiography after around 12 months. The incidence of ISR and its relationship with visit-to-visit HbA(1c) variability, expressed as coefficient of variation (CV), standard deviation (SD) and variability independent of the mean (VIM), were studied. Multivariable Cox proportional hazards models were constructed to analyze the predictive value of HbA(1c) variability for ISR. RESULTS: From September 2014 to July 2018 in Ruijin Hospital, a total of 420 diabetic patients (688 lesions) after stent implantation were included in the final analysis. During a mean follow-up of 12.8 ± 1.3 months, the incidence of ISR was 8.6%, which was significantly increased in patients with higher CV of HbA(1c) (P = 0.001). The mean diameter stenosis (DS), net luminal loss and net luminal gain were 22.9 ± 16.8%, 0.42 ± 0.88 mm and 1.66 ± 0.83 mm, respectively. Greater DS was observed in subjects with higher tertiles of CV of HbA(1c) (P < 0.001), and this trend was more prominent in patients with optimal glycemic control (HbA(1c) ≤ 7%) in the baseline. In multivariate analysis, HbA(1c) variability was independently associated with incidence of ISR after adjustment for traditional risk factors and mean HbA(1c) (HR: 3.00 [95% CI 1.14–7.92] for highest vs. lowest tertile). Inclusion of CV of HbA(1c) led to a better risk stratification accuracy. Assessing HbA(1c) variability by SD or VIM yielded similar findings. CONCLUSIONS: This study suggests that visit-to-visit HbA(1c) variability is an independent predictor of incidence of ISR in patients with type 2 diabetes after stent implantation. Trial registration NCT02089360: NCT BioMed Central 2020-09-04 /pmc/articles/PMC7472579/ /pubmed/32887588 http://dx.doi.org/10.1186/s12933-020-01111-7 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Original Investigation
Yang, Chen Die
Shen, Ying
Lu, Lin
Yang, Zhen Kun
Hu, Jian
Zhang, Rui Yan
Shen, Wei Feng
Ding, Feng Hua
Wang, Xiao Qun
Visit-to-visit HbA(1c) variability is associated with in-stent restenosis in patients with type 2 diabetes after percutaneous coronary intervention
title Visit-to-visit HbA(1c) variability is associated with in-stent restenosis in patients with type 2 diabetes after percutaneous coronary intervention
title_full Visit-to-visit HbA(1c) variability is associated with in-stent restenosis in patients with type 2 diabetes after percutaneous coronary intervention
title_fullStr Visit-to-visit HbA(1c) variability is associated with in-stent restenosis in patients with type 2 diabetes after percutaneous coronary intervention
title_full_unstemmed Visit-to-visit HbA(1c) variability is associated with in-stent restenosis in patients with type 2 diabetes after percutaneous coronary intervention
title_short Visit-to-visit HbA(1c) variability is associated with in-stent restenosis in patients with type 2 diabetes after percutaneous coronary intervention
title_sort visit-to-visit hba(1c) variability is associated with in-stent restenosis in patients with type 2 diabetes after percutaneous coronary intervention
topic Original Investigation
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7472579/
https://www.ncbi.nlm.nih.gov/pubmed/32887588
http://dx.doi.org/10.1186/s12933-020-01111-7
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