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Journal Abstract Search

150 related items for PubMed ID: 39262730

  • 1. Analysis of risk factors for PCI no-reflow in coronary heart disease and construction of related prediction models.
    Zhang L, Lin J, Luo L, Liu B, Zeng X.
    Am J Transl Res; 2024; 16(8):3733-3741. PubMed ID: 39262730
    [Abstract] [Full Text] [Related]

  • 2. A nomogram risk prediction model for no-reflow after primary percutaneous coronary intervention based on rapidly accessible patient data among patients with ST-segment elevation myocardial infarction and its relationship with prognosis.
    Liu Y, Ye T, Chen K, Wu G, Xia Y, Wang X, Zong G.
    Front Cardiovasc Med; 2022; 9():966299. PubMed ID: 36003914
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  • 3. Construction and evaluation of nomogram model for individualized prediction of risk of major adverse cardiovascular events during hospitalization after percutaneous coronary intervention in patients with acute ST-segment elevation myocardial infarction.
    Fang C, Chen Z, Zhang J, Jin X, Yang M.
    Front Cardiovasc Med; 2022; 9():1050785. PubMed ID: 36620648
    [Abstract] [Full Text] [Related]

  • 4. A nomogram for predicting the risk of no-reflow after primary percutaneous coronary intervention in elderly patients with ST-segment elevation myocardial infarction.
    Yang L, Cong H, Lu Y, Chen X, Liu Y.
    Ann Transl Med; 2021 Jan; 9(2):126. PubMed ID: 33569428
    [Abstract] [Full Text] [Related]

  • 5. A nomogram model for predicting intramyocardial hemorrhage post-PCI based on SYNTAX score and clinical features.
    Yang YS, Xi DY, Duan Y, Yu M, Liu K, Meng YK, Hu CF, Han SG, Xu K.
    BMC Cardiovasc Disord; 2024 Mar 25; 24(1):179. PubMed ID: 38528469
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  • 7. A Nomogram model for predicting the occurrence of no-reflow phenomenon after percutaneous coronary intervention using the lncRNA TUG1/miR-30e/NPPB biomarkers.
    Hu CK, Cai RP, He L, He SR, Liao JY, Su Q.
    J Thorac Dis; 2022 Jun 25; 14(6):2158-2168. PubMed ID: 35813727
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  • 8. Predicting the Risk of Unplanned Readmission at 30 Days After PCI: Development and Validation of a New Predictive Nomogram.
    Xu W, Tu H, Xiong X, Peng Y, Cheng T.
    Clin Interv Aging; 2022 Jun 25; 17():1013-1023. PubMed ID: 35818480
    [Abstract] [Full Text] [Related]

  • 9. [Establishment and Validation of a Predictive Model for Gallstone Disease in the General Population: A Multicenter Study].
    Yu W, Xia J, Chen F, Jiao P, Cui P, Zhang C, Wang Y, Shan X, Wang X.
    Sichuan Da Xue Xue Bao Yi Xue Ban; 2024 May 20; 55(3):641-652. PubMed ID: 38948266
    [Abstract] [Full Text] [Related]

  • 10. [Construction and validation of a predictive model for early occurrence of lower extremity deep venous thrombosis in ICU patients with sepsis].
    Qi Z, Ding D, Wu C, Han X, Li Z, Zhang Y, Hu Q, Hao C, Yang F.
    Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2024 May 20; 36(5):471-477. PubMed ID: 38845492
    [Abstract] [Full Text] [Related]

  • 11. [Establishment and evaluation of a nomogram model for predicting the risk of sepsis in diabetic foot patients].
    Lin L, Wang J, Wan Y, Gao Y.
    Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2024 Jul 20; 36(7):693-698. PubMed ID: 39223882
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  • 14. [Predictive value of hemoglobin to serum creatinine ratio combined with serum uric acid for in-hospital mortality after emergency percutaneous coronary intervention in patients with acute myocardial infarction].
    Bao F, Yang C, Zhou G.
    Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2023 Sep 20; 35(9):951-957. PubMed ID: 37803954
    [Abstract] [Full Text] [Related]

  • 15. Relation of neutrophil/lymphocyte ratio to coronary flow to in-hospital major adverse cardiac events in patients with ST-elevated myocardial infarction undergoing primary coronary intervention.
    Akpek M, Kaya MG, Lam YY, Sahin O, Elcik D, Celik T, Ergin A, Gibson CM.
    Am J Cardiol; 2012 Sep 01; 110(5):621-7. PubMed ID: 22608360
    [Abstract] [Full Text] [Related]

  • 16. Development and validation of a predictive model for adverse left ventricular remodeling in NSTEMI patients after primary percutaneous coronary intervention.
    Wang L, Liu T, Wang C, Xuan H, Xu X, Yin J, Li X, Chen J, Li D, Xu T.
    BMC Cardiovasc Disord; 2022 Aug 27; 22(1):386. PubMed ID: 36030211
    [Abstract] [Full Text] [Related]

  • 17. A risk predictive model for determining the severity of coronary artery lesions in older postmenopausal women with coronary heart disease.
    Wen W, Ye Q, Zhang LX, Ma LK.
    Am J Cardiovasc Dis; 2024 Aug 27; 14(2):106-115. PubMed ID: 38764551
    [Abstract] [Full Text] [Related]

  • 18. [Construction and validation of a nomogram for predicting the prognosis of patients with septic shock in department of emergency medicine].
    Wang T, Li J, Hao D, Qi A.
    Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2024 Jun 27; 36(6):578-584. PubMed ID: 38991955
    [Abstract] [Full Text] [Related]

  • 19. A web-based novel prediction model for predicting depression in elderly patients with coronary heart disease: A multicenter retrospective, propensity-score matched study.
    Tan J, Xu Z, He Y, Zhang L, Xiang S, Xu Q, Xu X, Gong J, Tan C, Tan L.
    Front Psychiatry; 2022 Jun 27; 13():949753. PubMed ID: 36329913
    [Abstract] [Full Text] [Related]

  • 20. Development and Validation of a Risk Nomogram Model for Predicting Revascularization After Percutaneous Coronary Intervention in Patients with Acute Coronary Syndrome.
    Xiao S, Zhang L, Wu Q, Hu Y, Wang X, Pan Q, Liu A, Liu Q, Liu J, Zhu H, Zhou Y, Pan D.
    Clin Interv Aging; 2021 Jun 27; 16():1541-1553. PubMed ID: 34447245
    [Abstract] [Full Text] [Related]

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