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Predictive value of albumin for intravenous immunoglobulin resistance in a large cohort of Kawasaki disease patients

BACKGROUND: Intravenous immunoglobulin (IVIG) has been the mainstay of treatment for Kawasaki disease (KD) over the past decades. However, 10–20% of KD patients are resistant to IVIG treatment which puts those patients at high risk of coronary artery lesions (CALs). Therefore, it is important to pre...

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Autores principales: Zhang, Rui, Shuai, Shuping, Zhang, Hongxi, Cai, Jianghui, Cui, Na, Tang, Mi, Xing, Shasha, Gao, Yu, Liu, Xia, Yang, Xiao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10291809/
https://www.ncbi.nlm.nih.gov/pubmed/37357258
http://dx.doi.org/10.1186/s13052-023-01482-z
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author Zhang, Rui
Shuai, Shuping
Zhang, Hongxi
Cai, Jianghui
Cui, Na
Tang, Mi
Xing, Shasha
Gao, Yu
Liu, Xia
Yang, Xiao
author_facet Zhang, Rui
Shuai, Shuping
Zhang, Hongxi
Cai, Jianghui
Cui, Na
Tang, Mi
Xing, Shasha
Gao, Yu
Liu, Xia
Yang, Xiao
author_sort Zhang, Rui
collection PubMed
description BACKGROUND: Intravenous immunoglobulin (IVIG) has been the mainstay of treatment for Kawasaki disease (KD) over the past decades. However, 10–20% of KD patients are resistant to IVIG treatment which puts those patients at high risk of coronary artery lesions (CALs). Therefore, it is important to predict whether patients will be resistant to IVIG before the treatment. This study aimed to investigate the risk factors for IVIG non-responsive patients with KD. METHODS: This study enrolled patients diagnosed with KD and divided them into two groups, IVIG responders and IVIG non-responders. We compared the differences in demographics and clinical data between the two groups. Differences among the groups were analyzed by ANOVA and Chi-square analysis. Predictors of IVIG resistance were determined by multiple logistic regression analysis and receiver operating characteristic (ROC) curve analysis. RESULTS: In total, 907 KD patients were reviewed, with 841 IVIG responders and 66 IVIG non-responders. Patients in IVIG responders were younger than IVIG non-responders. The length of hospitalization of the IVIG non-responders was significantly longer than IVIG responders. The neutrophils%, C-reaction protein (CRP), and CRP/albumin ratio in IVIG responders were significantly lower than in IVIG non-responders (P < 0.05). The lymphocyte% and Albumin in IVIG responders were significantly higher than in IVIG non-responders. Multivariable logistic regression analysis demonstrated that albumin (OR = 0.881, 95% CI, 0.781 to 0.994, p-value = 0.039) was an independent risk factor for predicting IVIG resistance. The area under the ROC curve was 0.644, with a cut-off of ≤ 33.4 g/L determined by Youden’s index. The sensitivity and specificity in predicting IVIG resistance were 40.91% and 83.47%, respectively. CONCLUSION: Albumin can serve as a potential predicting marker for IVIG resistance in KD. A lower albumin level may be useful for identifying KD patients with a high risk of IVIG resistance to guide further therapy strategies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13052-023-01482-z.
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spelling pubmed-102918092023-06-27 Predictive value of albumin for intravenous immunoglobulin resistance in a large cohort of Kawasaki disease patients Zhang, Rui Shuai, Shuping Zhang, Hongxi Cai, Jianghui Cui, Na Tang, Mi Xing, Shasha Gao, Yu Liu, Xia Yang, Xiao Ital J Pediatr Research BACKGROUND: Intravenous immunoglobulin (IVIG) has been the mainstay of treatment for Kawasaki disease (KD) over the past decades. However, 10–20% of KD patients are resistant to IVIG treatment which puts those patients at high risk of coronary artery lesions (CALs). Therefore, it is important to predict whether patients will be resistant to IVIG before the treatment. This study aimed to investigate the risk factors for IVIG non-responsive patients with KD. METHODS: This study enrolled patients diagnosed with KD and divided them into two groups, IVIG responders and IVIG non-responders. We compared the differences in demographics and clinical data between the two groups. Differences among the groups were analyzed by ANOVA and Chi-square analysis. Predictors of IVIG resistance were determined by multiple logistic regression analysis and receiver operating characteristic (ROC) curve analysis. RESULTS: In total, 907 KD patients were reviewed, with 841 IVIG responders and 66 IVIG non-responders. Patients in IVIG responders were younger than IVIG non-responders. The length of hospitalization of the IVIG non-responders was significantly longer than IVIG responders. The neutrophils%, C-reaction protein (CRP), and CRP/albumin ratio in IVIG responders were significantly lower than in IVIG non-responders (P < 0.05). The lymphocyte% and Albumin in IVIG responders were significantly higher than in IVIG non-responders. Multivariable logistic regression analysis demonstrated that albumin (OR = 0.881, 95% CI, 0.781 to 0.994, p-value = 0.039) was an independent risk factor for predicting IVIG resistance. The area under the ROC curve was 0.644, with a cut-off of ≤ 33.4 g/L determined by Youden’s index. The sensitivity and specificity in predicting IVIG resistance were 40.91% and 83.47%, respectively. CONCLUSION: Albumin can serve as a potential predicting marker for IVIG resistance in KD. A lower albumin level may be useful for identifying KD patients with a high risk of IVIG resistance to guide further therapy strategies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13052-023-01482-z. BioMed Central 2023-06-25 /pmc/articles/PMC10291809/ /pubmed/37357258 http://dx.doi.org/10.1186/s13052-023-01482-z Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Zhang, Rui
Shuai, Shuping
Zhang, Hongxi
Cai, Jianghui
Cui, Na
Tang, Mi
Xing, Shasha
Gao, Yu
Liu, Xia
Yang, Xiao
Predictive value of albumin for intravenous immunoglobulin resistance in a large cohort of Kawasaki disease patients
title Predictive value of albumin for intravenous immunoglobulin resistance in a large cohort of Kawasaki disease patients
title_full Predictive value of albumin for intravenous immunoglobulin resistance in a large cohort of Kawasaki disease patients
title_fullStr Predictive value of albumin for intravenous immunoglobulin resistance in a large cohort of Kawasaki disease patients
title_full_unstemmed Predictive value of albumin for intravenous immunoglobulin resistance in a large cohort of Kawasaki disease patients
title_short Predictive value of albumin for intravenous immunoglobulin resistance in a large cohort of Kawasaki disease patients
title_sort predictive value of albumin for intravenous immunoglobulin resistance in a large cohort of kawasaki disease patients
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10291809/
https://www.ncbi.nlm.nih.gov/pubmed/37357258
http://dx.doi.org/10.1186/s13052-023-01482-z
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