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Journal Abstract Search

168 related items for PubMed ID: 36627530

  • 1. 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; 42(5):1351-1361. PubMed ID: 36627530
    [Abstract] [Full Text] [Related]

  • 2. 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 May; 15(8):e0237321. PubMed ID: 32853226
    [Abstract] [Full Text] [Related]

  • 3. 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]

  • 4. 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 Jun 15; 55(2):2264315. PubMed ID: 37870383
    [Abstract] [Full Text] [Related]

  • 5. 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]

  • 6. Inability of Asian risk scoring systems to predict intravenous immunoglobulin resistance and coronary lesions in Kawasaki disease in an Italian cohort.
    Fabi M, Andreozzi L, Corinaldesi E, Bodnar T, Lami F, Cicero C, Tchana B, Landini C, Sprocati M, Bigucci B, Balsamo C, Sogno Valin P, Di Fazzio G, Iughetti L, Valletta E, Marchetti F, Donti A, Lanari M.
    Eur J Pediatr; 2019 Mar 15; 178(3):315-322. PubMed ID: 30499051
    [Abstract] [Full Text] [Related]

  • 7. Novel Predictive Scoring System for Intravenous Immunoglobulin Resistance Helps Timely Intervention in Kawasaki Disease: The Chinese Experience.
    Wang Y, Huang S, Wang P, Wu Y, Liu Y, Pan Y, Dong J, Fan Z, Yu H.
    J Immunol Res; 2023 Mar 15; 2023():6808323. PubMed ID: 37592925
    [Abstract] [Full Text] [Related]

  • 8. Prediction of intravenous immunoglobulin unresponsiveness in patients with Kawasaki disease.
    Kobayashi T, Inoue Y, Takeuchi K, Okada Y, Tamura K, Tomomasa T, Kobayashi T, Morikawa A.
    Circulation; 2006 Jun 06; 113(22):2606-12. PubMed ID: 16735679
    [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 06; 16(6):607-613. PubMed ID: 32232677
    [Abstract] [Full Text] [Related]

  • 10. The expression of autophagy markers in IVIG-resistant Kawasaki disease and the establishment of prediction model.
    Zhou Y, Wu Y, Yuan C, Yin W, Wang B, Ding Y.
    BMC Pediatr; 2023 Dec 19; 23(1):642. PubMed ID: 38114939
    [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 19; 182(10):4399-4406. PubMed ID: 37480545
    [Abstract] [Full Text] [Related]

  • 12. [Predictive value of serum ferritin and a new predictive model for intravenous immunoglobulin resistance in Kawasaki disease].
    Zhang YJ, Bai HT, Chen PL.
    Zhonghua Er Ke Za Zhi; 2021 Dec 02; 59(12):1080-1085. PubMed ID: 34856668
    [Abstract] [Full Text] [Related]

  • 13. Prediction Models for Intravenous Immunoglobulin Non-Responders of Kawasaki Disease Using Machine Learning.
    Miyagi Y, Iwashima S.
    Clin Drug Investig; 2024 Jun 02; 44(6):425-437. PubMed ID: 38869717
    [Abstract] [Full Text] [Related]

  • 14. 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]

  • 15. Risk factors and derived formosa score for intravenous immunoglobulin unresponsiveness in Taiwanese children with Kawasaki disease.
    Lin MT, Chang CH, Sun LC, Liu HM, Chang HW, Chen CA, Chiu SN, Lu CW, Chang LY, Wang JK, Wu MH.
    J Formos Med Assoc; 2016 May 12; 115(5):350-5. PubMed ID: 25910931
    [Abstract] [Full Text] [Related]

  • 16. 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 12; 36(9):821-826. PubMed ID: 28441265
    [Abstract] [Full Text] [Related]

  • 17. Predictive value of albumin for intravenous immunoglobulin resistance in a large cohort of Kawasaki disease patients.
    Zhang R, Shuai S, Zhang H, Cai J, Cui N, Tang M, Xing S, Gao Y, Liu X, Yang X.
    Ital J Pediatr; 2023 Jun 25; 49(1):78. PubMed ID: 37357258
    [Abstract] [Full Text] [Related]

  • 18. Predictors of intravenous immunoglobulin resistance and coronary artery aneurysm in patients with Kawasaki disease.
    Chantasiriwan N, Silvilairat S, Makonkawkeyoon K, Pongprot Y, Sittiwangkul R.
    Paediatr Int Child Health; 2018 Aug 25; 38(3):209-212. PubMed ID: 29768976
    [Abstract] [Full Text] [Related]

  • 19. Novel Score to Predict Immunoglobulin Resistance in Kawasaki Disease.
    Natarajan RK, Bhoopalan SV, Cross C, Shah R, Rothman A.
    Pediatr Cardiol; 2023 Oct 25; 44(7):1546-1551. PubMed ID: 37173579
    [Abstract] [Full Text] [Related]

  • 20. Usefulness of Kawasaki disease risk scoring systems to the Turkish population.
    Öztarhan K, Varlı YZ, Aktay Ayaz N.
    Anatol J Cardiol; 2020 Aug 25; 24(2):97-106. PubMed ID: 32749248
    [Abstract] [Full Text] [Related]

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