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Journal Abstract Search

151 related items for PubMed ID: 37749617

  • 21. 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; 178(3):315-322. PubMed ID: 30499051
    [Abstract] [Full Text] [Related]

  • 22. 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; 16(2):168-72. PubMed ID: 23773640
    [Abstract] [Full Text] [Related]

  • 23. 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; 23(4):1317-1324. PubMed ID: 36151486
    [Abstract] [Full Text] [Related]

  • 24. The factors affecting the disease course in Kawasaki disease.
    Arslanoglu Aydin E, Ertugrul I, Bilginer Y, Batu ED, Sonmez HE, Demir S, Arici ZS, Sag E, Alehan D, Ozen S.
    Rheumatol Int; 2019 Aug; 39(8):1343-1349. PubMed ID: 31139951
    [Abstract] [Full Text] [Related]

  • 25. The combination of the neutrophil-to-lymphocyte and platelet-to-lymphocyte ratios as a novel predictor of intravenous immunoglobulin resistance in patients with Kawasaki disease: a multicenter study.
    Kanai T, Takeshita S, Kawamura Y, Kinoshita K, Nakatani K, Iwashima S, Takizawa Y, Hirono K, Mori K, Yoshida Y, Nonoyama S.
    Heart Vessels; 2020 Oct; 35(10):1463-1472. PubMed ID: 32449049
    [Abstract] [Full Text] [Related]

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

  • 27. Predictors of intravenous immunoglobulin-resistant Kawasaki disease in children: a meta-analysis of 4442 cases.
    Li X, Chen Y, Tang Y, Ding Y, Xu Q, Sun L, Qian W, Qian G, Qin L, Lv H.
    Eur J Pediatr; 2018 Aug; 177(8):1279-1292. PubMed ID: 29948255
    [Abstract] [Full Text] [Related]

  • 28. Predictive tool for intravenous immunoglobulin resistance of Kawasaki disease in Beijing.
    Yang S, Song R, Zhang J, Li X, Li C.
    Arch Dis Child; 2019 Mar; 104(3):262-267. PubMed ID: 30026252
    [Abstract] [Full Text] [Related]

  • 29. 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; 182(10):4399-4406. PubMed ID: 37480545
    [Abstract] [Full Text] [Related]

  • 30. Intravenous immunoglobulin treatment responsiveness depends on the degree of CD8+ T cell activation in Kawasaki disease.
    Ye Q, Gong FQ, Shang SQ, Hu J.
    Clin Immunol; 2016 Oct; 171():25-31. PubMed ID: 27519954
    [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. 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 21; 46(11):1434-1441. PubMed ID: 37540643
    [Abstract] [Full Text] [Related]

  • 33. Predictive model based on gene and laboratory data for intravenous immunoglobulin resistance in Kawasaki disease in a Chinese population.
    Meng L, Zhen Z, Jiang Q, Li XH, Yuan Y, Yao W, Zhang MM, Li AJ, Shi L.
    Pediatr Rheumatol Online J; 2021 Jun 26; 19(1):95. PubMed ID: 34174887
    [Abstract] [Full Text] [Related]

  • 34. [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]

  • 35. 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 02; 22(4):621-628. PubMed ID: 35039938
    [Abstract] [Full Text] [Related]

  • 36. Lymphocyte hydrogen sulfide production predicts intravenous immunoglobulin resistance in children with Kawasaki disease: A preliminary, single-center, case-control study.
    Lin J, Zhao H, Jiao F, Ma L, Ma L.
    Medicine (Baltimore); 2018 Nov 02; 97(47):e13069. PubMed ID: 30461609
    [Abstract] [Full Text] [Related]

  • 37. Prognostic value of pretreatment prognostic nutritional index in intravenous immunoglobulin-resistant Kawasaki disease.
    Li G, Xu X, Chen P, Zeng R, Liu B.
    Heart Vessels; 2021 Sep 02; 36(9):1366-1373. PubMed ID: 33686555
    [Abstract] [Full Text] [Related]

  • 38. Research on Early Identification Model of Intravenous Immunoglobulin Resistant Kawasaki Disease Based on Gradient Boosting Decision Tree.
    Yang Y, Yang C, Wang L, Cao S, Li X, Bai Y, Hu X.
    Pediatr Infect Dis J; 2023 Jul 01; 42(7):537-542. PubMed ID: 37053575
    [Abstract] [Full Text] [Related]

  • 39. 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 01; 19(2):173-181. PubMed ID: 30617865
    [Abstract] [Full Text] [Related]

  • 40. Predictive role of sampling-time specific prognostic nutritional index cut-off values for intravenous immunoglobulin resistance and cardiovascular complications in Kawasaki disease.
    Liu X, Shao S, Zhang N, Wu M, Liu L, Duan H, Liu Z, Zhou K, Hua Y, Wang C.
    Int Immunopharmacol; 2022 Sep 01; 110():108986. PubMed ID: 35764015
    [Abstract] [Full Text] [Related]

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