Cargando…

Application of genetic risk score for in-stent restenosis of second- and third-generation drug-eluting stents in geriatric patients

BACKGROUND: The second-and third-generation drug-eluting stents (DESs) in-stent restenosis (ISR) genetic risk score (GRS) model has been previously validated. However, the model has not been validated in geriatric patients. Therefore, we conducted this study to test the feasibility of the DES-ISR GR...

Descripción completa

Detalles Bibliográficos
Autores principales: Hsu, Yu-Ling, Huang, Mu-Shiang, Chang, Hsien-Yuan, Lee, Cheng-Han, Chen, Dao-Peng, Li, Yi-Heng, Chao, Ting-Hsin, Liu, Yen-Wen, Liu, Ping-Yen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10357661/
https://www.ncbi.nlm.nih.gov/pubmed/37468836
http://dx.doi.org/10.1186/s12877-023-04103-w
_version_ 1785075541939847168
author Hsu, Yu-Ling
Huang, Mu-Shiang
Chang, Hsien-Yuan
Lee, Cheng-Han
Chen, Dao-Peng
Li, Yi-Heng
Chao, Ting-Hsin
Liu, Yen-Wen
Liu, Ping-Yen
author_facet Hsu, Yu-Ling
Huang, Mu-Shiang
Chang, Hsien-Yuan
Lee, Cheng-Han
Chen, Dao-Peng
Li, Yi-Heng
Chao, Ting-Hsin
Liu, Yen-Wen
Liu, Ping-Yen
author_sort Hsu, Yu-Ling
collection PubMed
description BACKGROUND: The second-and third-generation drug-eluting stents (DESs) in-stent restenosis (ISR) genetic risk score (GRS) model has been previously validated. However, the model has not been validated in geriatric patients. Therefore, we conducted this study to test the feasibility of the DES-ISR GRS model in geriatric patients with coronary artery disease (CAD) in Taiwan. METHODS: We conducted a retrospective, single-center cohort study and included geriatric patients (age ≥ 65 years) with CAD and second-or third-generation DES(s) deployment. Patients undergoing maintenance dialysis were excluded. ISR was defined as ≥ 50% luminal narrowing on the follow-up coronary arteriography. The DES-ISR GRS model included five selected exonic single-nucleotide polymorphisms (SNPs): CAMLG, GALNT2, C11orf84, THOC5, and SAMD11. The GRS was defined as the sum of the five selected SNPs for the risk allele. RESULTS: We enrolled 298 geriatric patients from January 2010 and December 2019 in this study. After propensity score matching, there were 192 geriatric patients with CAD in the final analysis, of which 32 patients had ISR. Patients were divided into two groups based on their GRS values: low (0–2) and high (≥ 3) GRS. A high GRS was significantly associated with DES-ISR in geriatric patients. CONCLUSION: Those geriatric patients with a high GRS had significantly higher second-or third-generation DES ISR rates. The five SNP-derived DES-ISR GRS model could provide genetic information for interventional cardiologists to treat geriatric patients with CAD. TRIAL REGISTRATION: The primary study protocol was registered with clinicaltrials.org. with registration number: NCT03877614; on March 15, 2019. (http://clinicaltrials.gov/ct2/show/NCT03877614)
format Online
Article
Text
id pubmed-10357661
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-103576612023-07-21 Application of genetic risk score for in-stent restenosis of second- and third-generation drug-eluting stents in geriatric patients Hsu, Yu-Ling Huang, Mu-Shiang Chang, Hsien-Yuan Lee, Cheng-Han Chen, Dao-Peng Li, Yi-Heng Chao, Ting-Hsin Liu, Yen-Wen Liu, Ping-Yen BMC Geriatr Research BACKGROUND: The second-and third-generation drug-eluting stents (DESs) in-stent restenosis (ISR) genetic risk score (GRS) model has been previously validated. However, the model has not been validated in geriatric patients. Therefore, we conducted this study to test the feasibility of the DES-ISR GRS model in geriatric patients with coronary artery disease (CAD) in Taiwan. METHODS: We conducted a retrospective, single-center cohort study and included geriatric patients (age ≥ 65 years) with CAD and second-or third-generation DES(s) deployment. Patients undergoing maintenance dialysis were excluded. ISR was defined as ≥ 50% luminal narrowing on the follow-up coronary arteriography. The DES-ISR GRS model included five selected exonic single-nucleotide polymorphisms (SNPs): CAMLG, GALNT2, C11orf84, THOC5, and SAMD11. The GRS was defined as the sum of the five selected SNPs for the risk allele. RESULTS: We enrolled 298 geriatric patients from January 2010 and December 2019 in this study. After propensity score matching, there were 192 geriatric patients with CAD in the final analysis, of which 32 patients had ISR. Patients were divided into two groups based on their GRS values: low (0–2) and high (≥ 3) GRS. A high GRS was significantly associated with DES-ISR in geriatric patients. CONCLUSION: Those geriatric patients with a high GRS had significantly higher second-or third-generation DES ISR rates. The five SNP-derived DES-ISR GRS model could provide genetic information for interventional cardiologists to treat geriatric patients with CAD. TRIAL REGISTRATION: The primary study protocol was registered with clinicaltrials.org. with registration number: NCT03877614; on March 15, 2019. (http://clinicaltrials.gov/ct2/show/NCT03877614) BioMed Central 2023-07-19 /pmc/articles/PMC10357661/ /pubmed/37468836 http://dx.doi.org/10.1186/s12877-023-04103-w Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://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 Research
Hsu, Yu-Ling
Huang, Mu-Shiang
Chang, Hsien-Yuan
Lee, Cheng-Han
Chen, Dao-Peng
Li, Yi-Heng
Chao, Ting-Hsin
Liu, Yen-Wen
Liu, Ping-Yen
Application of genetic risk score for in-stent restenosis of second- and third-generation drug-eluting stents in geriatric patients
title Application of genetic risk score for in-stent restenosis of second- and third-generation drug-eluting stents in geriatric patients
title_full Application of genetic risk score for in-stent restenosis of second- and third-generation drug-eluting stents in geriatric patients
title_fullStr Application of genetic risk score for in-stent restenosis of second- and third-generation drug-eluting stents in geriatric patients
title_full_unstemmed Application of genetic risk score for in-stent restenosis of second- and third-generation drug-eluting stents in geriatric patients
title_short Application of genetic risk score for in-stent restenosis of second- and third-generation drug-eluting stents in geriatric patients
title_sort application of genetic risk score for in-stent restenosis of second- and third-generation drug-eluting stents in geriatric patients
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10357661/
https://www.ncbi.nlm.nih.gov/pubmed/37468836
http://dx.doi.org/10.1186/s12877-023-04103-w
work_keys_str_mv AT hsuyuling applicationofgeneticriskscoreforinstentrestenosisofsecondandthirdgenerationdrugelutingstentsingeriatricpatients
AT huangmushiang applicationofgeneticriskscoreforinstentrestenosisofsecondandthirdgenerationdrugelutingstentsingeriatricpatients
AT changhsienyuan applicationofgeneticriskscoreforinstentrestenosisofsecondandthirdgenerationdrugelutingstentsingeriatricpatients
AT leechenghan applicationofgeneticriskscoreforinstentrestenosisofsecondandthirdgenerationdrugelutingstentsingeriatricpatients
AT chendaopeng applicationofgeneticriskscoreforinstentrestenosisofsecondandthirdgenerationdrugelutingstentsingeriatricpatients
AT liyiheng applicationofgeneticriskscoreforinstentrestenosisofsecondandthirdgenerationdrugelutingstentsingeriatricpatients
AT chaotinghsin applicationofgeneticriskscoreforinstentrestenosisofsecondandthirdgenerationdrugelutingstentsingeriatricpatients
AT liuyenwen applicationofgeneticriskscoreforinstentrestenosisofsecondandthirdgenerationdrugelutingstentsingeriatricpatients
AT liupingyen applicationofgeneticriskscoreforinstentrestenosisofsecondandthirdgenerationdrugelutingstentsingeriatricpatients