These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


PUBMED FOR HANDHELDS

Journal Abstract Search


175 related items for PubMed ID: 36627530

  • 21. Intravenous immunoglobulin resistance in Kawasaki disease patients: prediction using clinical data.
    Lam JY, Song MS, Kim GB, Shimizu C, Bainto E, Tremoulet AH, Nemati S, Burns JC.
    Pediatr Res; 2024 Feb; 95(3):692-697. PubMed ID: 36797460
    [Abstract] [Full Text] [Related]

  • 22. 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 Feb; 2022():2726686. PubMed ID: 35989868
    [Abstract] [Full Text] [Related]

  • 23. A decision tree model for predicting intravenous immunoglobulin resistance and coronary artery involvement in Kawasaki disease.
    Joung J, Oh JS, Yoon JM, Ko KO, Yoo GH, Cheon EJ.
    BMC Pediatr; 2022 Aug 05; 22(1):474. PubMed ID: 35931986
    [Abstract] [Full Text] [Related]

  • 24. The state of play in tools for predicting immunoglobulin resistance in Kawasaki disease.
    Guo MM, Kuo HC.
    Expert Rev Clin Immunol; 2023 Aug 05; 19(10):1273-1279. PubMed ID: 37458237
    [Abstract] [Full Text] [Related]

  • 25. Prediction of repeated intravenous immunoglobulin resistance in children with Kawasaki disease.
    Lu Y, Chen T, Wen Y, Si F, Wu X, Yang Y.
    BMC Pediatr; 2021 Sep 16; 21(1):406. PubMed ID: 34530763
    [Abstract] [Full Text] [Related]

  • 26. Construction and validation of predictive models for intravenous immunoglobulin-resistant Kawasaki disease using an interpretable machine learning approach.
    Deng L, Zhao J, Wang T, Liu B, Jiang J, Jia P, Liu D, Li G.
    Clin Exp Pediatr; 2024 Aug 16; 67(8):405-414. PubMed ID: 39048087
    [Abstract] [Full Text] [Related]

  • 27. Risk factors of intravenous immunoglobulin resistance and coronary arterial lesions in Turkish children with Kawasaki disease.
    Türkuçar S, Yıldız K, Acarı C, Dundar HA, Kır M, Ünsal E.
    Turk J Pediatr; 2020 Aug 16; 62(1):1-9. PubMed ID: 32253860
    [Abstract] [Full Text] [Related]

  • 28. Predictive value of serum procalcitonin for both initial and repeated immunoglobulin resistance in Kawasaki disease: a prospective cohort study.
    Shao S, Luo C, Zhou K, Hua Y, Wu M, Liu L, Liu X, Wang C.
    Pediatr Rheumatol Online J; 2019 Nov 27; 17(1):78. PubMed ID: 31775782
    [Abstract] [Full Text] [Related]

  • 29. Risk Factors for Coronary Artery Aneurysm in a Chinese Pediatric Population with Kawasaki Disease at Low Risk of Intravenous Immunoglobulin Resistance: A Retrospective Cohort Study.
    Liu J, Su D, Yuan P, Ye B, Qin S, Pang Y.
    Cardiology; 2023 Nov 27; 148(5):457-468. PubMed ID: 37231847
    [Abstract] [Full Text] [Related]

  • 30. Resistance to intravenous immunoglobulin in children with Kawasaki disease.
    Tremoulet AH, Best BM, Song S, Wang S, Corinaldesi E, Eichenfield JR, Martin DD, Newburger JW, Burns JC.
    J Pediatr; 2008 Jul 27; 153(1):117-21. PubMed ID: 18571548
    [Abstract] [Full Text] [Related]

  • 31. Predictors for intravenous immunoglobulin resistance and coronary artery lesions in Kawasaki disease.
    Xie T, Wang Y, Fu S, Wang W, Xie C, Zhang Y, Gong F.
    Pediatr Rheumatol Online J; 2017 Mar 21; 15(1):17. PubMed ID: 28320400
    [Abstract] [Full Text] [Related]

  • 32. Comparison of risk scores for predicting intravenous immunoglobulin resistance in Taiwanese patients with Kawasaki disease.
    Huang CN, Wu FF, Chang YM, Huang HC, Lin MT, Wang JK, Wu MH.
    J Formos Med Assoc; 2021 Oct 21; 120(10):1884-1889. PubMed ID: 33358267
    [Abstract] [Full Text] [Related]

  • 33. Interleukin-6 is prone to be a candidate biomarker for predicting incomplete and IVIG nonresponsive Kawasaki disease rather than coronary artery aneurysm.
    Wu Y, Liu FF, Xu Y, Wang JJ, Samadli S, Wu YF, Liu HH, Chen WX, Luo HH, Zhang DD, Wei W, Hu P.
    Clin Exp Med; 2019 May 21; 19(2):173-181. PubMed ID: 30617865
    [Abstract] [Full Text] [Related]

  • 34. Predictive value of Albumin-Bilirubin grade for intravenous immunoglobulin resistance in a large cohort of patients with Kawasaki disease: a prospective study.
    Yan Y, Qiao L, Hua Y, Shao S, Zhang N, Wu M, Liu L, Zhou K, Liu X, Wang C.
    Pediatr Rheumatol Online J; 2021 Sep 25; 19(1):147. PubMed ID: 34563210
    [Abstract] [Full Text] [Related]

  • 35. 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]

  • 36. Neutrophil-to-lymphocyte ratio and scoring system for predicting coronary artery lesions of Kawasaki disease.
    Chang LS, Lin YJ, Yan JH, Guo MM, Lo MH, Kuo HC.
    BMC Pediatr; 2020 Aug 24; 20(1):398. PubMed ID: 32838756
    [Abstract] [Full Text] [Related]

  • 37. [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]

  • 38. A novel scoring system based on sIL-2R for predicting IVIG resistance in Chinese children with KD.
    Zeng YY, Zhu SY, Xu KK, Ji LF, Wang YQ, Chen Y, Chen F, Yang SW.
    Pediatr Rheumatol Online J; 2024 Aug 18; 22(1):76. PubMed ID: 39155376
    [Abstract] [Full Text] [Related]

  • 39. Risk factors in IVIG-resistant Kawasaki disease and correlation with Japanese scoring systems - a study from Eastern India.
    Ahmed N, Pal P, Azad SM, Ghosh A, Banerjee P, Sarkar SD.
    Clin Rheumatol; 2023 Jan 18; 42(1):145-150. PubMed ID: 36053472
    [Abstract] [Full Text] [Related]

  • 40. Association between serum miR-221-3p and intravenous immunoglobulin resistance in children with Kawasaki disease.
    Jing F, Weng H, Pei Q, Zhang J, Liu R, Yi Q.
    Clin Exp Med; 2022 Nov 18; 22(4):621-628. PubMed ID: 35039938
    [Abstract] [Full Text] [Related]


    Page: [Previous] [Next] [New Search]
    of 9.