慢性冠状动脉综合征患者左冠状动脉主干或三支血管疾病的预测模型。

IF 0.4 4区 医学 Q4 MEDICINE, RESEARCH & EXPERIMENTAL
Asian Biomedicine Pub Date : 2024-09-20 eCollection Date: 2024-08-01 DOI:10.2478/abm-2024-0024
Piyanop Nuchanat, Komsing Methavigul
{"title":"慢性冠状动脉综合征患者左冠状动脉主干或三支血管疾病的预测模型。","authors":"Piyanop Nuchanat, Komsing Methavigul","doi":"10.2478/abm-2024-0024","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Data about prediction of left main coronary artery disease (LMCAD)/three-vessel disease (TVD) in patients with chronic coronary syndromes (CCS) are lacking.</p><p><strong>Objectives: </strong>This study aimed to develop a model for predicting patients at risk of LMCAD/TVD.</p><p><strong>Methods: </strong>This study used retrospective data from patients with CCS scheduled for invasive coronary angiography (ICA) and who were retrospectively recruited between January 2018 and December 2020. Predictors were obtained and analyzed by using logistic regression analysis, and generated the prediction score. The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were calculated. The cut-off value and area under the curve (AUC) were analyzed by using the receiver operating characteristic (ROC) curve.</p><p><strong>Results: </strong>We recruited 162 patients with CCS. There were 75 patients in the non-LMCAD/TVD and 87 patients in the LMCAD/TVD groups. After the multivariate analysis, new onset of heart failure (HF) or left ventricular systolic dysfunction (LVSD) and suspected CAD, ST elevation (STE) in aVR, STE in V<sub>1</sub> and lateral ST depression (STD) were associated with increased risk of LMCAD/TVD. Based on these 4 predictors, the prediction score was created. The cut-off value of the prediction score by using ROC curve analysis was 3.0. The sensitivity, specificity, PPV, and NPV were 71.26%, 86.67%, 86.11%, and 72.22%, respectively, with an AUC of 0.855.</p><p><strong>Conclusions: </strong>The CCS patients with new onset of HF or LVSD and suspected CAD, STE in aVR, and STE in V<sub>1</sub> and lateral STD were associated with increased risk of LMCAD/TVD. The novel prediction score could predict LMCAD/TVD in those patients with acceptable sensitivity, specificity, PPV, and NPV.</p>","PeriodicalId":8501,"journal":{"name":"Asian Biomedicine","volume":null,"pages":null},"PeriodicalIF":0.4000,"publicationDate":"2024-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11414772/pdf/","citationCount":"0","resultStr":"{\"title\":\"Predictive model for left main coronary artery or triple vessel disease in patients with chronic coronary syndromes.\",\"authors\":\"Piyanop Nuchanat, Komsing Methavigul\",\"doi\":\"10.2478/abm-2024-0024\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Data about prediction of left main coronary artery disease (LMCAD)/three-vessel disease (TVD) in patients with chronic coronary syndromes (CCS) are lacking.</p><p><strong>Objectives: </strong>This study aimed to develop a model for predicting patients at risk of LMCAD/TVD.</p><p><strong>Methods: </strong>This study used retrospective data from patients with CCS scheduled for invasive coronary angiography (ICA) and who were retrospectively recruited between January 2018 and December 2020. Predictors were obtained and analyzed by using logistic regression analysis, and generated the prediction score. The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were calculated. The cut-off value and area under the curve (AUC) were analyzed by using the receiver operating characteristic (ROC) curve.</p><p><strong>Results: </strong>We recruited 162 patients with CCS. There were 75 patients in the non-LMCAD/TVD and 87 patients in the LMCAD/TVD groups. After the multivariate analysis, new onset of heart failure (HF) or left ventricular systolic dysfunction (LVSD) and suspected CAD, ST elevation (STE) in aVR, STE in V<sub>1</sub> and lateral ST depression (STD) were associated with increased risk of LMCAD/TVD. Based on these 4 predictors, the prediction score was created. The cut-off value of the prediction score by using ROC curve analysis was 3.0. The sensitivity, specificity, PPV, and NPV were 71.26%, 86.67%, 86.11%, and 72.22%, respectively, with an AUC of 0.855.</p><p><strong>Conclusions: </strong>The CCS patients with new onset of HF or LVSD and suspected CAD, STE in aVR, and STE in V<sub>1</sub> and lateral STD were associated with increased risk of LMCAD/TVD. The novel prediction score could predict LMCAD/TVD in those patients with acceptable sensitivity, specificity, PPV, and NPV.</p>\",\"PeriodicalId\":8501,\"journal\":{\"name\":\"Asian Biomedicine\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.4000,\"publicationDate\":\"2024-09-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11414772/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Asian Biomedicine\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.2478/abm-2024-0024\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/8/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q4\",\"JCRName\":\"MEDICINE, RESEARCH & EXPERIMENTAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Asian Biomedicine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2478/abm-2024-0024","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/8/1 0:00:00","PubModel":"eCollection","JCR":"Q4","JCRName":"MEDICINE, RESEARCH & EXPERIMENTAL","Score":null,"Total":0}
引用次数: 0

摘要

背景:有关慢性冠状动脉综合征(CCS)患者左主干冠状动脉疾病(LMCAD)/三支血管疾病(TVD)的预测数据尚缺:有关慢性冠状动脉综合征(CCS)患者左主干冠状动脉疾病(LMCAD)/三血管疾病(TVD)的预测数据尚缺:本研究旨在建立一个模型,用于预测有患 LMCAD/TVD 风险的患者:本研究使用了2018年1月至2020年12月期间回顾性招募的、计划进行有创冠状动脉造影术(ICA)的CCS患者的回顾性数据。通过逻辑回归分析获得并分析了预测因子,并生成了预测评分。计算了敏感性、特异性、阳性预测值(PPV)和阴性预测值(NPV)。使用接收者操作特征曲线(ROC)分析了临界值和曲线下面积(AUC):我们招募了 162 名 CCS 患者。非 LMCAD/TVD 组有 75 名患者,LMCAD/TVD 组有 87 名患者。经过多变量分析,新发心力衰竭(HF)或左室收缩功能障碍(LVSD)、疑似 CAD、aVR STE 升高(STE)、V1 STE 和侧向 ST 压低(STD)与 LMCAD/TVD 风险增加相关。根据这 4 个预测因子,建立了预测评分。通过 ROC 曲线分析,预测得分的临界值为 3.0。灵敏度、特异性、PPV 和 NPV 分别为 71.26%、86.67%、86.11% 和 72.22%,AUC 为 0.855:新发 HF 或 LVSD 且疑似 CAD 的 CCS 患者、aVR STE、V1 和侧 STD STE 与 LMCAD/TVD 风险增加相关。新的预测评分可以预测这些患者的 LMCAD/TVD,其敏感性、特异性、PPV 和 NPV 均可接受。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Predictive model for left main coronary artery or triple vessel disease in patients with chronic coronary syndromes.

Background: Data about prediction of left main coronary artery disease (LMCAD)/three-vessel disease (TVD) in patients with chronic coronary syndromes (CCS) are lacking.

Objectives: This study aimed to develop a model for predicting patients at risk of LMCAD/TVD.

Methods: This study used retrospective data from patients with CCS scheduled for invasive coronary angiography (ICA) and who were retrospectively recruited between January 2018 and December 2020. Predictors were obtained and analyzed by using logistic regression analysis, and generated the prediction score. The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were calculated. The cut-off value and area under the curve (AUC) were analyzed by using the receiver operating characteristic (ROC) curve.

Results: We recruited 162 patients with CCS. There were 75 patients in the non-LMCAD/TVD and 87 patients in the LMCAD/TVD groups. After the multivariate analysis, new onset of heart failure (HF) or left ventricular systolic dysfunction (LVSD) and suspected CAD, ST elevation (STE) in aVR, STE in V1 and lateral ST depression (STD) were associated with increased risk of LMCAD/TVD. Based on these 4 predictors, the prediction score was created. The cut-off value of the prediction score by using ROC curve analysis was 3.0. The sensitivity, specificity, PPV, and NPV were 71.26%, 86.67%, 86.11%, and 72.22%, respectively, with an AUC of 0.855.

Conclusions: The CCS patients with new onset of HF or LVSD and suspected CAD, STE in aVR, and STE in V1 and lateral STD were associated with increased risk of LMCAD/TVD. The novel prediction score could predict LMCAD/TVD in those patients with acceptable sensitivity, specificity, PPV, and NPV.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Asian Biomedicine
Asian Biomedicine 医学-医学:研究与实验
CiteScore
1.20
自引率
0.00%
发文量
24
审稿时长
6-12 weeks
期刊介绍: Asian Biomedicine: Research, Reviews and News (ISSN 1905-7415 print; 1875-855X online) is published in one volume (of 6 bimonthly issues) a year since 2007. [...]Asian Biomedicine is an international, general medical and biomedical journal that aims to publish original peer-reviewed contributions dealing with various topics in the biomedical and health sciences from basic experimental to clinical aspects. The work and authorship must be strongly affiliated with a country in Asia, or with specific importance and relevance to the Asian region. The Journal will publish reviews, original experimental studies, observational studies, technical and clinical (case) reports, practice guidelines, historical perspectives of Asian biomedicine, clinicopathological conferences, and commentaries Asian biomedicine is intended for a broad and international audience, primarily those in the health professions including researchers, physician practitioners, basic medical scientists, dentists, educators, administrators, those in the assistive professions, such as nurses, and the many types of allied health professionals in research and health care delivery systems including those in training.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信