• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

3000多万癌症和非癌症患者经皮冠状动脉介入治疗的机器学习增强倾向评分分析

Machine Learning-Augmented Propensity Score Analysis of Percutaneous Coronary Intervention in Over 30 Million Cancer and Non-cancer Patients.

作者信息

Monlezun Dominique J, Lawless Sean, Palaskas Nicolas, Peerbhai Shareez, Charitakis Konstantinos, Marmagkiolis Konstantinos, Lopez-Mattei Juan, Mamas Mamas, Iliescu Cezar

机构信息

Department of Cardiology, The University of Texas M.D. Anderson Cancer Center, Houston, TX, United States.

Division of Cardiovascular Medicine, The University of Texas Health Sciences Center at Houston, Houston, TX, United States.

出版信息

Front Cardiovasc Med. 2021 Apr 6;8:620857. doi: 10.3389/fcvm.2021.620857. eCollection 2021.

DOI:10.3389/fcvm.2021.620857
PMID:33889598
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8055825/
Abstract

It is unknown to what extent the clinical benefits of PCI outweigh the risks and costs in patients with vs. without cancer and within each cancer type. We performed the first known nationally representative propensity score analysis of PCI mortality and cost among all eligible adult inpatients by cancer and its types. This multicenter case-control study used machine learning-augmented propensity score-adjusted multivariable regression to assess the above outcomes and disparities using the 2016 nationally representative National Inpatient Sample. Of the 30,195,722 hospitalized patients, 15.43% had a malignancy, 3.84% underwent an inpatient PCI (of whom 11.07% had cancer and 0.07% had metastases), and 2.19% died inpatient. In fully adjusted analyses, PCI vs. medical management significantly reduced mortality for patients overall (among all adult inpatients regardless of cancer status) and specifically for cancer patients (OR 0.82, 95% CI 0.75-0.89; < 0.001), mainly driven by active vs. prior malignancy, head and neck and hematological malignancies. PCI also significantly reduced cancer patients' total hospitalization costs (beta USD$ -8,668.94, 95% CI -9,553.59 to -7,784.28; < 0.001) independent of length of stay. There were no significant income or disparities among PCI subjects. Our study suggests among all eligible adult inpatients, PCI does not increase mortality or cost for cancer patients, while there may be particular benefit by cancer type. The presence or history of cancer should not preclude these patients from indicated cardiovascular care.

摘要

在患有和未患癌症的患者以及每种癌症类型中,经皮冠状动脉介入治疗(PCI)的临床益处超过风险和成本的程度尚不清楚。我们对所有符合条件的成年住院患者按癌症及其类型进行了首次全国代表性的PCI死亡率和成本倾向评分分析。这项多中心病例对照研究使用机器学习增强的倾向评分调整多变量回归,通过2016年全国代表性的国家住院样本评估上述结果和差异。在30195722名住院患者中,15.43%患有恶性肿瘤,3.84%接受了住院PCI(其中11.07%患有癌症,0.07%有转移),2.19%住院死亡。在完全调整分析中,PCI与药物治疗相比,显著降低了总体患者(所有成年住院患者,无论癌症状态如何)尤其是癌症患者的死亡率(比值比0.82,95%置信区间0.75 - 0.89;P < 0.001),主要由现患与既往恶性肿瘤、头颈部和血液系统恶性肿瘤驱动。PCI还显著降低了癌症患者的总住院费用(β - 8668.94美元,95%置信区间 - 9553.59至 - 7784.28;P < 0.001),且与住院时间无关。PCI受试者之间没有显著的收入差异。我们的研究表明,在所有符合条件的成年住院患者中,PCI不会增加癌症患者的死亡率或成本,而可能因癌症类型有特定益处。癌症的存在或病史不应妨碍这些患者接受必要的心血管治疗。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0586/8055825/bc3bfa6dcebd/fcvm-08-620857-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0586/8055825/20661c1730aa/fcvm-08-620857-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0586/8055825/bc3bfa6dcebd/fcvm-08-620857-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0586/8055825/20661c1730aa/fcvm-08-620857-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0586/8055825/bc3bfa6dcebd/fcvm-08-620857-g0002.jpg

相似文献

1
Machine Learning-Augmented Propensity Score Analysis of Percutaneous Coronary Intervention in Over 30 Million Cancer and Non-cancer Patients.3000多万癌症和非癌症患者经皮冠状动脉介入治疗的机器学习增强倾向评分分析
Front Cardiovasc Med. 2021 Apr 6;8:620857. doi: 10.3389/fcvm.2021.620857. eCollection 2021.
2
Fractional Flow Reserve Cardio-Oncology Effects on Inpatient Mortality, Length of Stay, and Cost Based on Malignancy Type: Machine Learning Supported Nationally Representative Case-Control Study of 30 Million Hospitalizations.基于恶性肿瘤类型的机器学习支持的全国代表性 3000 万例住院病例对照研究:分数流量储备心血管肿瘤学对住院患者死亡率、住院时间和成本的影响。
Medicina (Kaunas). 2022 Jun 28;58(7):859. doi: 10.3390/medicina58070859.
3
Percutaneous Coronary Intervention in Patients With Gynecological Cancer: Machine Learning-Augmented Propensity Score Mortality and Cost Analysis for 383,760 Patients.妇科癌症患者的经皮冠状动脉介入治疗:383760例患者的机器学习增强倾向评分死亡率和成本分析
Front Cardiovasc Med. 2022 Feb 14;8:793877. doi: 10.3389/fcvm.2021.793877. eCollection 2021.
4
Post-cardiac arrest PCI is underutilized among cancer patients: Machine learning augmented nationally representative case-control study of 30 million hospitalizations.心脏停搏后 PCI 在癌症患者中的应用不足:基于机器学习的全国代表性 3000 万例住院病例对照研究。
Resuscitation. 2022 Oct;179:43-49. doi: 10.1016/j.resuscitation.2022.07.032. Epub 2022 Aug 4.
5
Percutaneous Coronary Intervention Mortality, Cost, Complications, and Disparities after Radiation Therapy: Artificial Intelligence-Augmented, Cost Effectiveness, and Computational Ethical Analysis.放射治疗后的经皮冠状动脉介入治疗死亡率、成本、并发症及差异:人工智能增强、成本效益及计算伦理分析
J Cardiovasc Dev Dis. 2023 Oct 30;10(11):445. doi: 10.3390/jcdd10110445.
6
Artificial Intelligence-Augmented Propensity Score, Cost Effectiveness and Computational Ethical Analysis of Cardiac Arrest and Active Cancer with Novel Mortality Predictive Score.人工智能增强的心脏骤停和活动性癌症的倾向评分、成本效益和计算伦理分析,以及新型死亡率预测评分。
Medicina (Kaunas). 2022 Aug 3;58(8):1039. doi: 10.3390/medicina58081039.
7
Costs Associated With Access Site and Same-Day Discharge Among Medicare Beneficiaries Undergoing Percutaneous Coronary Intervention: An Evaluation of the Current Percutaneous Coronary Intervention Care Pathways in the United States.经皮冠状动脉介入治疗的 Medicare 受益患者中与入路部位相关的成本和当日出院:对美国当前经皮冠状动脉介入治疗护理路径的评估。
JACC Cardiovasc Interv. 2017 Feb 27;10(4):342-351. doi: 10.1016/j.jcin.2016.11.049.
8
Non-ST-Segment-Elevation Myocardial Infarction Among Patients With Chronic Kidney Disease: A Propensity Score-Matched Comparison of Percutaneous Coronary Intervention Versus Conservative Management.慢性肾脏病患者中的非 ST 段抬高型心肌梗死:经皮冠状动脉介入治疗与保守治疗的倾向评分匹配比较。
J Am Heart Assoc. 2018 Mar 10;7(6):e007920. doi: 10.1161/JAHA.117.007920.
9
Costs of transradial percutaneous coronary intervention.经桡动脉入路经皮冠状动脉介入治疗的成本。
JACC Cardiovasc Interv. 2013 Aug;6(8):827-34. doi: 10.1016/j.jcin.2013.04.014. Epub 2013 Jul 17.
10
Incidence, Predictors, and Outcomes of Acute Ischemic Stroke Following Percutaneous Coronary Intervention.经皮冠状动脉介入治疗后急性缺血性脑卒中的发生率、预测因素和结局。
JACC Cardiovasc Interv. 2019 Aug 12;12(15):1497-1506. doi: 10.1016/j.jcin.2019.04.015.

引用本文的文献

1
Acute myocardial infarction in patients with cancer: outcomes and P2Y12 inhibition.癌症患者的急性心肌梗死:结局与P2Y12抑制
J Thromb Thrombolysis. 2025 Apr;58(4):538-546. doi: 10.1007/s11239-025-03092-4. Epub 2025 Apr 1.
2
Machine Learning in Cardio-Oncology: New Insights from an Emerging Discipline.心血管肿瘤学中的机器学习:新兴学科的新见解
Rev Cardiovasc Med. 2023 Oct 19;24(10):296. doi: 10.31083/j.rcm2410296. eCollection 2023 Oct.
3
Percutaneous Coronary Intervention Mortality, Cost, Complications, and Disparities after Radiation Therapy: Artificial Intelligence-Augmented, Cost Effectiveness, and Computational Ethical Analysis.

本文引用的文献

1
Acute myocardial infarction treatments and outcomes in 6.5 million patients with a current or historical diagnosis of cancer in the USA.美国650万目前患有癌症或曾有癌症诊断史患者的急性心肌梗死治疗与转归情况
Eur Heart J. 2020 Jun 14;41(23):2183-2193. doi: 10.1093/eurheartj/ehz851.
2
A Cancer Paradox: Machine-Learning Backed Propensity-Score Analysis of Coronary Angiography Findings in Cardio-Oncology.癌症悖论:基于机器学习的心脏肿瘤学中冠状动脉造影结果倾向评分分析
J Invasive Cardiol. 2019 Jan;31(1):21-26. doi: 10.25270/jic/18.00215.
3
Fulminant Vascular and Cardiac Toxicity Associated with Tyrosine Kinase Inhibitor Sorafenib.
放射治疗后的经皮冠状动脉介入治疗死亡率、成本、并发症及差异:人工智能增强、成本效益及计算伦理分析
J Cardiovasc Dev Dis. 2023 Oct 30;10(11):445. doi: 10.3390/jcdd10110445.
4
Interventional Cardio-Oncology: Unique Challenges and Considerations in a High-Risk Population.介入心脏病学与肿瘤学:高危人群中的独特挑战与注意事项。
Curr Treat Options Oncol. 2023 Aug;24(8):1071-1087. doi: 10.1007/s11864-023-01110-2. Epub 2023 Jun 10.
5
Coronary Revascularization in Patients With Cancer.癌症患者的冠状动脉血运重建
Curr Treat Options Cardiovasc Med. 2023;25(6):143-158. doi: 10.1007/s11936-023-00982-9. Epub 2023 Apr 21.
6
Artificial intelligence-augmented analysis of contemporary procedural, mortality, and cost trends in carcinoid heart disease in a large national cohort with a focus on the "forgotten pulmonic valve".在一个大型全国队列中,利用人工智能增强对类癌性心脏病当代手术、死亡率和成本趋势的分析,重点关注“被遗忘的肺动脉瓣”。
Front Cardiovasc Med. 2023 Feb 8;9:1071138. doi: 10.3389/fcvm.2022.1071138. eCollection 2022.
7
Artificial Intelligence-Augmented Propensity Score, Cost Effectiveness and Computational Ethical Analysis of Cardiac Arrest and Active Cancer with Novel Mortality Predictive Score.人工智能增强的心脏骤停和活动性癌症的倾向评分、成本效益和计算伦理分析,以及新型死亡率预测评分。
Medicina (Kaunas). 2022 Aug 3;58(8):1039. doi: 10.3390/medicina58081039.
8
EHA Guidelines on Management of Antithrombotic Treatments in Thrombocytopenic Patients With Cancer.欧洲血液学协会癌症血小板减少患者抗血栓治疗管理指南
Hemasphere. 2022 Jul 13;6(8):e750. doi: 10.1097/HS9.0000000000000750. eCollection 2022 Aug.
9
Fractional Flow Reserve Cardio-Oncology Effects on Inpatient Mortality, Length of Stay, and Cost Based on Malignancy Type: Machine Learning Supported Nationally Representative Case-Control Study of 30 Million Hospitalizations.基于恶性肿瘤类型的机器学习支持的全国代表性 3000 万例住院病例对照研究:分数流量储备心血管肿瘤学对住院患者死亡率、住院时间和成本的影响。
Medicina (Kaunas). 2022 Jun 28;58(7):859. doi: 10.3390/medicina58070859.
10
Management of Acute Coronary Syndrome in Cancer Patients: It's High Time We Dealt with It.癌症患者急性冠状动脉综合征的管理:我们早该着手应对了。
J Clin Med. 2022 Mar 24;11(7):1792. doi: 10.3390/jcm11071792.
索拉非尼相关暴发性血管和心脏毒性。
Cardiovasc Toxicol. 2019 Aug;19(4):382-387. doi: 10.1007/s12012-018-9499-2.
4
Percutaneous coronary intervention in cancer patients: a report of the prevalence and outcomes in the United States.经皮冠状动脉介入治疗在癌症患者中的应用:美国的流行率和结局报告。
Eur Heart J. 2019 Jun 7;40(22):1790-1800. doi: 10.1093/eurheartj/ehy769.
5
Immune checkpoint inhibitors and cardiovascular toxicity.免疫检查点抑制剂与心血管毒性。
Lancet Oncol. 2018 Sep;19(9):e447-e458. doi: 10.1016/S1470-2045(18)30457-1.
6
Safety of Diagnostic and Therapeutic Cardiac Catheterization in Cancer Patients With Acute Coronary Syndrome and Chronic Thrombocytopenia.癌症合并急性冠状动脉综合征和慢性血小板减少症患者行诊断性和治疗性心导管术的安全性。
Am J Cardiol. 2018 Nov 1;122(9):1465-1470. doi: 10.1016/j.amjcard.2018.07.033. Epub 2018 Aug 3.
7
Acute Coronary Syndrome Management in Cancer Patients.急性冠状动脉综合征管理在癌症患者中。
Curr Oncol Rep. 2018 Aug 22;20(10):78. doi: 10.1007/s11912-018-0724-8.
8
Artificial Intelligence in Cardiology.人工智能在心脏病学中的应用。
J Am Coll Cardiol. 2018 Jun 12;71(23):2668-2679. doi: 10.1016/j.jacc.2018.03.521.
9
Interventional Cardio-Oncology: Adding a New Dimension to the Cardio-Oncology Field.介入心脏肿瘤学:为心脏肿瘤学领域增添新维度。
Front Cardiovasc Med. 2018 May 17;5:48. doi: 10.3389/fcvm.2018.00048. eCollection 2018.
10
Machine Learning-Augmented Propensity Score-Adjusted Multilevel Mixed Effects Panel Analysis of Hands-On Cooking and Nutrition Education versus Traditional Curriculum for Medical Students as Preventive Cardiology: Multisite Cohort Study of 3,248 Trainees over 5 Years.基于机器学习的倾向评分调整多层次混合效应面板分析:医学生实践烹饪与营养教育与传统课程在预防心脏病学中的效果——5 年 3248 名学员的多站点队列研究。
Biomed Res Int. 2018 Apr 15;2018:5051289. doi: 10.1155/2018/5051289. eCollection 2018.