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Journal Abstract Search

126 related items for PubMed ID: 38703570

  • 1. Development of an immunoinflammatory indicator-related dynamic nomogram based on machine learning for the prediction of intravenous immunoglobulin-resistant Kawasaki disease patients.
    Wang Y, Cao Y, Li Y, Zhu F, Yuan M, Xu J, Ma X, Li J.
    Int Immunopharmacol; 2024 Jun 15; 134():112194. PubMed ID: 38703570
    [Abstract] [Full Text] [Related]

  • 2. Nomogram to predict risk of resistance to intravenous immunoglobulin in children hospitalized with Kawasaki disease in Eastern China.
    Huang H, Jiang J, Shi X, Qin J, Dong J, Xu L, Huang C, Liu Y, Zheng Y, Hou M, Shen Q, Zeng B, Qian G, Yang F, Lv H.
    Ann Med; 2022 Dec 15; 54(1):442-453. PubMed ID: 35099338
    [Abstract] [Full Text] [Related]

  • 3. A nomogram for predicting immunoglobulin-resistant Kawasaki disease in children.
    Pan Y, Fan Q.
    J Int Med Res; 2023 Feb 15; 51(2):3000605221139704. PubMed ID: 36802838
    [Abstract] [Full Text] [Related]

  • 4. Predictors and a novel predictive model for intravascular immunoglobulin resistance in Kawasaki disease.
    Wang J, Huang X, Guo D.
    Ital J Pediatr; 2023 Sep 25; 49(1):126. PubMed ID: 37749617
    [Abstract] [Full Text] [Related]

  • 5. A practical nomogram for predicting coronary thrombosis for Kawasaki disease patients with medium or large coronary artery aneurysm.
    Peng Y, Cheng Z, Yi Q.
    Clin Exp Med; 2023 Aug 25; 23(4):1317-1324. PubMed ID: 36151486
    [Abstract] [Full Text] [Related]

  • 6. Nomogram for predicting coronary artery lesions in patients with Kawasaki disease.
    Chen J, Li J, Yue YH, Liu Y, Xie T, Peng JQ, Deng ZH, Cao YD.
    Clin Cardiol; 2023 Nov 25; 46(11):1434-1441. PubMed ID: 37540643
    [Abstract] [Full Text] [Related]

  • 7. A machine learning approach to predict intravenous immunoglobulin resistance in Kawasaki disease patients: A study based on a Southeast China population.
    Wang T, Liu G, Lin H.
    PLoS One; 2020 Nov 25; 15(8):e0237321. PubMed ID: 32853226
    [Abstract] [Full Text] [Related]

  • 8. Serum amyloid A as a biomarker for immunoglobulin resistance in Kawasaki disease.
    Huang XB, Zhao S, Liu ZY, Xu YY, Deng F.
    Ann Med; 2023 Nov 25; 55(2):2264315. PubMed ID: 37870383
    [Abstract] [Full Text] [Related]

  • 9. Prediction of intravenous immunoglobulin resistance in Kawasaki disease in children.
    Wu S, Liao Y, Sun Y, Zhang CY, Zhang QY, Yan H, Qi JG, Liu XQ, Chen YH, Wang YL, Li XY, Jin HF, Du JB.
    World J Pediatr; 2020 Dec 25; 16(6):607-613. PubMed ID: 32232677
    [Abstract] [Full Text] [Related]

  • 10. A simple scoring model based on machine learning predicts intravenous immunoglobulin resistance in Kawasaki disease.
    Sunaga Y, Watanabe A, Katsumata N, Toda T, Yoshizawa M, Kono Y, Hasebe Y, Koizumi K, Hoshiai M, Kawakami E, Inukai T.
    Clin Rheumatol; 2023 May 25; 42(5):1351-1361. PubMed ID: 36627530
    [Abstract] [Full Text] [Related]

  • 11. Predictive value of monocyte to HDL-C ratio for coronary artery lesions and intravenous immunoglobulin resistance in Kawasaki disease.
    Wang JR, Zhao HZ, Chang LJ, Xu X, Gao Y, Li M, Kong QY, Wang MM, Zhao CF.
    Eur J Pediatr; 2023 Oct 25; 182(10):4399-4406. PubMed ID: 37480545
    [Abstract] [Full Text] [Related]

  • 12. Inflammatory cytokines as predictors of resistance to intravenous immunoglobulin therapy in Kawasaki disease patients.
    Sato S, Kawashima H, Kashiwagi Y, Hoshika A.
    Int J Rheum Dis; 2013 Apr 25; 16(2):168-72. PubMed ID: 23773640
    [Abstract] [Full Text] [Related]

  • 13. Predictors for Intravenous Immunoglobulin Resistance in Patients with Kawasaki Disease.
    Li W, Zhang L, Wang Z, He X, Lin H, Wang Y, Yuan J, Xie X, Zhang X, Qin Y, Huang P.
    Int J Clin Pract; 2022 Apr 25; 2022():2726686. PubMed ID: 35989868
    [Abstract] [Full Text] [Related]

  • 14. Evaluation of laboratory predictors for intravenous immunoglobulin resistance and coronary artery aneurysm in Kawasaki Disease before and after therapy.
    Liu J, Ye B, Su D, Qin S, Zhao W, Pang Y.
    Clin Rheumatol; 2023 Jan 25; 42(1):167-177. PubMed ID: 36129563
    [Abstract] [Full Text] [Related]

  • 15. Kawasaki disease in Turkish children: a single center experience with emphasis on intravenous immunoglobulin resistance and giant coronary aneurysms.
    Yılmazer MM, Özdemir R, Meşe T, Küçük M, Öner T, Devrim İ, Bayram N, Güven B, Tavlı V.
    Turk J Pediatr; 2019 Jan 25; 61(5):648-656. PubMed ID: 32104995
    [Abstract] [Full Text] [Related]

  • 16. Value of C-reactive protein/albumin ratio in predicting intravenous immunoglobulin-resistant Kawasaki disease- a data from multi-institutional study in China.
    Li G, Wang T, Gou Y, Zeng R, Liu D, Duan Y, Liu B.
    Int Immunopharmacol; 2020 Dec 25; 89(Pt A):107037. PubMed ID: 33242833
    [Abstract] [Full Text] [Related]

  • 17. Prediction of Coronary Artery Lesions in Patients With Recurrent Kawasaki Disease.
    Yang P, Zhang J, Liu Y, Feng S, Yi Q.
    Pediatr Infect Dis J; 2024 Feb 01; 43(2):101-108. PubMed ID: 37922481
    [Abstract] [Full Text] [Related]

  • 18. [Expression of interleukin-17A in serum of children with intravenous immunoglobulin-resistant Kawasaki disease and its clinical significance].
    Li SY, Ding Y.
    Zhongguo Dang Dai Er Ke Za Zhi; 2023 Mar 15; 25(3):244-249. PubMed ID: 36946157
    [Abstract] [Full Text] [Related]

  • 19. Novel Risk Assessment Tool for Immunoglobulin Resistance in Kawasaki Disease: Application Using a Random Forest Classifier.
    Takeuchi M, Inuzuka R, Hayashi T, Shindo T, Hirata Y, Shimizu N, Inatomi J, Yokoyama Y, Namai Y, Oda Y, Takamizawa M, Kagawa J, Harita Y, Oka A.
    Pediatr Infect Dis J; 2017 Sep 15; 36(9):821-826. PubMed ID: 28441265
    [Abstract] [Full Text] [Related]

  • 20. Predictive value of C-reactive protein to albumin ratio as a biomarker for initial and repeated intravenous immunoglobulin resistance in a large cohort of Kawasaki disease patients: a prospective cohort study.
    Liu X, Wang L, Zhou K, Shao S, Hua Y, Wu M, Liu L, Wang C.
    Pediatr Rheumatol Online J; 2021 Mar 12; 19(1):24. PubMed ID: 33712036
    [Abstract] [Full Text] [Related]

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