Development and Validation of Machine-Learning Model to Predict the Risk of Major Cardiovascular Events and Death for Patients with Kidney Failure Having Noncardiac Surgery

被引：0
|
作者：
Pabla, Gurpreet S. [1 ]
Tangri, Navdeep [2 ,4 ]
Harrison, Tyrone [3 ]
Ferguson, Thomas W. [4 ]
Sevinc, Emir
Whitlock, Reid [4 ]
机构：
[1] Univ Manitoba, Fac Hlth Sci, Winnipeg, MB, Canada
[2] Univ Manitoba, Max Rady Coll Med, Winnipeg, MB, Canada
[3] Univ Calgary, Cumming Sch Med, Calgary, AB, Canada
[4] Seven Oaks Gen Hosp, Winnipeg, MB, Canada
来源：
JOURNAL OF THE AMERICAN SOCIETY OF NEPHROLOGY | 2024年 / 35卷 / 10期
关键词：
D O I：
10.1681/ASN.2024xgy74hfd
中图分类号：
R5 [内科学]; R69 [泌尿科学（泌尿生殖系疾病）];
学科分类号：
1002 ; 100201 ;
摘要：
TH-PO003
引用
收藏
页数：2
相关论文
共 50 条
  • [41] Risk of Kidney Failure, Death, and Cardiovascular Events After Lower Limb Complications in Patients With CKD
    Li, Kevin
    Ferguson, Thomas
    Embil, John
    Rigatto, Claudio
    Komenda, Paul
    Tangri, Navdeep
    KIDNEY INTERNATIONAL REPORTS, 2021, 6 (02): : 381 - 388
  • [42] Development and Validation of an Explainable Machine Learning Model for Major Complications After Cytoreductive Surgery
    Deng, Huiyu
    Eftekhari, Zahra
    Carlin, Cameron
    Veerapong, Jula
    Fournier, Keith F.
    Johnston, Fabian M.
    Dineen, Sean P.
    Powers, Benjamin D.
    Hendrix, Ryan
    Lambert, Laura A.
    Abbott, Daniel E.
    Vande Walle, Kara
    Grotz, Travis E.
    Patel, Sameer H.
    Clarke, Callisia N.
    Staley, Charles A.
    Abdel-Misih, Sherif
    Cloyd, Jordan M.
    Lee, Byrne
    Fong, Yuman
    Raoof, Mustafa
    JAMA NETWORK OPEN, 2022, 5 (05) : E2212930
  • [43] Development and validation of a model for predicting the risk of cardiovascular events in maintenance hemodialysis patients
    Qin, Meijie
    Yang, Yuqi
    Dai, Lu
    Ding, Jie
    Zha, Yan
    Yuan, Jing
    SCIENTIFIC REPORTS, 2024, 14 (01):
  • [44] Patient and Lesion-Specific Characteristics Predict Risk of Major Adverse Cardiovascular Events Among Patients with Previous Percutaneous Coronary Intervention Undergoing Noncardiac Surgery
    Armstrong, Ehrin J.
    Graham, Laura
    Waldo, Stephen W.
    Valle, Javier A.
    Maddox, Thomas M.
    Hawn, Mary T.
    CATHETERIZATION AND CARDIOVASCULAR INTERVENTIONS, 2017, 89 (04) : 617 - 627
  • [45] Utilization of interpretable machine learning model to forecast the risk of major adverse kidney events in elderly patients in critical care
    Wang, Lin
    Duan, Shao-Bin
    Yan, Ping
    Luo, Xiao-Qin
    Zhang, Ning-Ya
    RENAL FAILURE, 2023, 45 (01)
  • [46] Development and validation of a risk prediction model for in-hospital major cardiovascular events in patients hospitalised for acute myocardial infarction
    Wu, Chaoqun
    Huo, Xiqian
    Liu, Jiamin
    Zhang, Lihua
    Bai, Xueke
    Hu, Shuang
    Li, Xi
    Lu, Jiapeng
    Zheng, Xin
    Li, Jing
    Zhang, Haibo
    BMJ OPEN, 2021, 11 (05):
  • [47] Development of a Machine Learning Model to Predict the Use of Surgery in Patients With Rheumatoid Arthritis
    Baxter, Natalie B.
    Lin, Ching-Heng
    Wallace, Beth I.
    Chen, Jung-Sheng
    Kuo, Chang-Fu
    Chung, Kevin C.
    ARTHRITIS CARE & RESEARCH, 2024, 76 (05) : 636 - 643
  • [48] Development and Validation of a Machine Learning Model to Predict Near-Term Risk of Iatrogenic Hypoglycemia in Hospitalized Patients
    Mathioudakis, Nestoras N.
    Abusamaan, Mohammed S.
    Shakarchi, Ahmed F.
    Sokolinsky, Sam
    Fayzullin, Shamil
    McGready, John
    Zilbermint, Mihail
    Saria, Suchi
    Golden, Sherita Hill
    JAMA NETWORK OPEN, 2021, 4 (01)
  • [49] Machine learning model using cardiovascular magnetic resonance to predict cardiovascular events in asymptomatic patients with known CAD
    Amar, J.
    Garot, J.
    Toupin, S.
    Unger, A.
    Goncalves, T.
    Duhamel, S.
    Garot, P.
    Unterseeh, T.
    Champagne, S.
    Hovasse, T.
    Dillinger, J. G.
    Henry, P.
    Bousson, V
    Sanguineti, F.
    Pezel, T.
    EUROPEAN HEART JOURNAL, 2024, 45
  • [50] Development and validation of a cardiovascular risk prediction model for Sri Lankans using machine learning
    Mettananda, Chamila
    Sanjeewa, Isuru
    Arachchi, Tinul Benthota
    Wijesooriya, Avishka
    Chandrasena, Chiranjaya
    Weerasinghe, Tolani
    Solangaarachchige, Maheeka
    Ranasinghe, Achila
    Elpitiya, Isuru
    Sammandapperuma, Rashmi
    Kurukulasooriya, Sujeewani
    Ranawaka, Udaya
    Pathmeswaran, Arunasalam
    Kasturiratne, Anuradhini
    Kato, Nei
    Wickramasinghe, Rajitha
    Haddela, Prasanna
    de Silva, Janaka
    PLOS ONE, 2024, 19 (10):
12345