{"title":"急性心肌梗死合并首次诊断心房颤动的危险因素。","authors":"Zhimin Dong, Xiaoxia Hou, Caixia Guo","doi":"10.1177/09287329251355850","DOIUrl":null,"url":null,"abstract":"<p><p>BackgroundAtrial fibrillation (AF) is a common complication of acute myocardial infarction (AMI), significantly affecting patient prognosis by increasing the risk of heart failure, thromboembolic events, and mortality.ObjectiveTo explore the risk factors of AM combined with first-diagnosed AF.MethodsClinical data related to a total of 142 consecutive AMI patients admitted to Beijing Tongren Hospital from January 1, 2020 to May 1, 2020 were retrospectively analyzed, of whom 8 cases (5.6%) were divided into first-diagnosed AF group and the rest 134 cases were in non-first-diagnosed AF group according to the presence or absence of first-diagnosed AF. Clinical data, laboratory indexes, cardiac ultrasonography and coronary angiography results of the two groups were compared. Logistic regression method was used to analyze the possible risk factors offirst-diagnosed AF.ResultsComparing the various data between the two groups, the peak creatinine kinase myocardial band (CKMB), white blood cell count, left ventricular ejection fraction, and the proportion of patients with admission Killip grades 3-4 in the first-diagnosed AF group were significantly different from those in the non- first-diagnosed AF group (<i>p</i> < 0.05); the results of logistic multifactorial regression analysis showed that admission Killip grades 3-4 was an independent risk factor for first-diagnosed AF in patients with AMI (OR = 9.549, 95% CI: 1.697-53.737, <i>p</i> = 0.01).ConclusionPatients with AMI and Killip grade 3-4 face a heightened risk of developing atrial fibrillation. Close clinical observation, including ECG monitoring, is essential for early atrial fibrillation detection. Given the limitations of the current study, such as small sample size in single center, small number of AF events, the retrospective design, the validity and reliability of the research findings are constrained.</p>","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":" ","pages":"9287329251355850"},"PeriodicalIF":1.8000,"publicationDate":"2025-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Risk factors of acute myocardial infarction combined with First-Diagnosed atrial fibrillation.\",\"authors\":\"Zhimin Dong, Xiaoxia Hou, Caixia Guo\",\"doi\":\"10.1177/09287329251355850\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>BackgroundAtrial fibrillation (AF) is a common complication of acute myocardial infarction (AMI), significantly affecting patient prognosis by increasing the risk of heart failure, thromboembolic events, and mortality.ObjectiveTo explore the risk factors of AM combined with first-diagnosed AF.MethodsClinical data related to a total of 142 consecutive AMI patients admitted to Beijing Tongren Hospital from January 1, 2020 to May 1, 2020 were retrospectively analyzed, of whom 8 cases (5.6%) were divided into first-diagnosed AF group and the rest 134 cases were in non-first-diagnosed AF group according to the presence or absence of first-diagnosed AF. Clinical data, laboratory indexes, cardiac ultrasonography and coronary angiography results of the two groups were compared. Logistic regression method was used to analyze the possible risk factors offirst-diagnosed AF.ResultsComparing the various data between the two groups, the peak creatinine kinase myocardial band (CKMB), white blood cell count, left ventricular ejection fraction, and the proportion of patients with admission Killip grades 3-4 in the first-diagnosed AF group were significantly different from those in the non- first-diagnosed AF group (<i>p</i> < 0.05); the results of logistic multifactorial regression analysis showed that admission Killip grades 3-4 was an independent risk factor for first-diagnosed AF in patients with AMI (OR = 9.549, 95% CI: 1.697-53.737, <i>p</i> = 0.01).ConclusionPatients with AMI and Killip grade 3-4 face a heightened risk of developing atrial fibrillation. Close clinical observation, including ECG monitoring, is essential for early atrial fibrillation detection. Given the limitations of the current study, such as small sample size in single center, small number of AF events, the retrospective design, the validity and reliability of the research findings are constrained.</p>\",\"PeriodicalId\":48978,\"journal\":{\"name\":\"Technology and Health Care\",\"volume\":\" \",\"pages\":\"9287329251355850\"},\"PeriodicalIF\":1.8000,\"publicationDate\":\"2025-07-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Technology and Health Care\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1177/09287329251355850\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"ENGINEERING, BIOMEDICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Technology and Health Care","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1177/09287329251355850","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, BIOMEDICAL","Score":null,"Total":0}
引用次数: 0
摘要
心房颤动(AF)是急性心肌梗死(AMI)的常见并发症,通过增加心衰、血栓栓塞事件和死亡率的风险显著影响患者预后。目的探讨的风险因素是结合诊断出来AF.MethodsClinical相关数据共有142名连续AMI患者承认北京同仁医院从1月1日,2020年5月1日2020进行回顾性分析,其中8例(5.6%)被分为首次诊断房颤组,其余134例non-first-diagnosed AF组根据首次诊断房颤的存在与否。临床数据,实验室指标,比较两组心脏超声及冠状动脉造影结果。结果比较两组间各项资料,首次诊断AF组的峰值肌酸酐激酶心肌带(CKMB)、白细胞计数、左室射血分数、Killip评分3-4级患者入院比例与非首次诊断AF组比较差异有统计学意义(p p = 0.01)。结论AMI和Killip 3-4级患者发生房颤的风险较高。密切的临床观察,包括心电图监测,是早期发现房颤的必要条件。考虑到本研究的局限性,如单中心样本量小、房颤事件数量少、采用回顾性设计等,研究结果的效度和信度受到制约。
Risk factors of acute myocardial infarction combined with First-Diagnosed atrial fibrillation.
BackgroundAtrial fibrillation (AF) is a common complication of acute myocardial infarction (AMI), significantly affecting patient prognosis by increasing the risk of heart failure, thromboembolic events, and mortality.ObjectiveTo explore the risk factors of AM combined with first-diagnosed AF.MethodsClinical data related to a total of 142 consecutive AMI patients admitted to Beijing Tongren Hospital from January 1, 2020 to May 1, 2020 were retrospectively analyzed, of whom 8 cases (5.6%) were divided into first-diagnosed AF group and the rest 134 cases were in non-first-diagnosed AF group according to the presence or absence of first-diagnosed AF. Clinical data, laboratory indexes, cardiac ultrasonography and coronary angiography results of the two groups were compared. Logistic regression method was used to analyze the possible risk factors offirst-diagnosed AF.ResultsComparing the various data between the two groups, the peak creatinine kinase myocardial band (CKMB), white blood cell count, left ventricular ejection fraction, and the proportion of patients with admission Killip grades 3-4 in the first-diagnosed AF group were significantly different from those in the non- first-diagnosed AF group (p < 0.05); the results of logistic multifactorial regression analysis showed that admission Killip grades 3-4 was an independent risk factor for first-diagnosed AF in patients with AMI (OR = 9.549, 95% CI: 1.697-53.737, p = 0.01).ConclusionPatients with AMI and Killip grade 3-4 face a heightened risk of developing atrial fibrillation. Close clinical observation, including ECG monitoring, is essential for early atrial fibrillation detection. Given the limitations of the current study, such as small sample size in single center, small number of AF events, the retrospective design, the validity and reliability of the research findings are constrained.
期刊介绍:
Technology and Health Care is intended to serve as a forum for the presentation of original articles and technical notes, observing rigorous scientific standards. Furthermore, upon invitation, reviews, tutorials, discussion papers and minisymposia are featured. The main focus of THC is related to the overlapping areas of engineering and medicine. The following types of contributions are considered:
1.Original articles: New concepts, procedures and devices associated with the use of technology in medical research and clinical practice are presented to a readership with a widespread background in engineering and/or medicine. In particular, the clinical benefit deriving from the application of engineering methods and devices in clinical medicine should be demonstrated. Typically, full length original contributions have a length of 4000 words, thereby taking duly into account figures and tables.
2.Technical Notes and Short Communications: Technical Notes relate to novel technical developments with relevance for clinical medicine. In Short Communications, clinical applications are shortly described. 3.Both Technical Notes and Short Communications typically have a length of 1500 words.
Reviews and Tutorials (upon invitation only): Tutorial and educational articles for persons with a primarily medical background on principles of engineering with particular significance for biomedical applications and vice versa are presented. The Editorial Board is responsible for the selection of topics.
4.Minisymposia (upon invitation only): Under the leadership of a Special Editor, controversial or important issues relating to health care are highlighted and discussed by various authors.
5.Letters to the Editors: Discussions or short statements (not indexed).