The expression of autophagy markers in IVIG-resistant Kawasaki disease and the establishment of prediction model
© 2023. The Author(s)..
BACKGROUND: The aim of this study was to find early predictors of Intravenous Immunoglobulin (IVIG)-Resistant Kawasaki Disease.
METHODS: Patients diagnosed with Kawasaki disease were enrolled in this study. Univariate analysis and multiple logistic regression were used to analyze the clinical characteristics and laboratory findings of patients in both groups before IVIG treatment. Independent predictors of Intravenous Immunoglobulin-Resistant Kawasaki Disease were analyzed, and a prediction model for children with Intravenous Immunoglobulin-Resistant Kawasaki Disease was constructed.
RESULTS: A total of 108 children (67 males and 41 females) with IVIG-sensitive Kawasaki disease and 31 children (20 males and 11 females) with IVIG-resistant Kawasaki disease participated in this study. Compared with the IVIG-sensitive group, the duration of hospitalization, ALT, AST, GLB, r-GT, IgG, PCT, and ESR was elevated in the IVIG-resistant KD group, and ATG16L1, LC3II, BECN1, RBC, HGB, ALB, A/G, and CK were significantly lower (P < 0.05). mRNA expression of ESR, BECN1, and LC3II were independent risk factors for IVIG-resistant Kawasaki disease. A logistic regression model and scoring system were established, and the cut-off values of independent risk factors were derived from ROC curves: ESR ≥ 79.5 mm/h, BECN1 ≤ 0.645, LC3II ≤ 0.481. A new scoring system was established according to the respective regression coefficients as follows: ESR ≥ 79.5 mm/h (1 point), BECN1 ≤ 0.645 (1 point). LC3II ≤ 0.481 (2 points), 0-1 as low risk for IVIG non-response, and ≥ 2 as high risk. Applied to this group of study subjects, the sensitivity was 87.10%, specificity 83.33%, Youden index 0.70, AUC 0.9.
CONCLUSIONS: Autophagy markers ATG16L1, BECN1, and LC3II are down-regulated in the expression of IVIG -resistant KD. ESR, BECN1, and LC3II mRNAs are independent risk factors for IVIG-resistant KD and may be involved in the development of IVIG-resistant KD. This study established a new model that can be used to predict IVIG-resistant KD, and future validation in a larger population is needed.
| Medienart: |
E-Artikel |
|---|
| Erscheinungsjahr: |
2023 |
|---|---|
| Erschienen: |
2023 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:23 |
|---|---|
| Enthalten in: |
BMC pediatrics - 23(2023), 1 vom: 19. Dez., Seite 642 |
| Sprache: |
Englisch |
|---|
| Beteiligte Personen: |
Zhou, Yang [VerfasserIn] |
|---|
| Links: |
|---|
| Themen: |
Autophagy markers |
|---|
| Anmerkungen: |
Date Completed 21.12.2023 Date Revised 12.01.2024 published: Electronic Citation Status MEDLINE |
|---|
| doi: |
10.1186/s12887-023-04386-3 |
|---|
| funding: |
|
|---|---|
| Förderinstitution / Projekttitel: |
|
| PPN (Katalog-ID): |
NLM366056069 |
|---|
| LEADER | 01000caa a22002652 4500 | ||
|---|---|---|---|
| 001 | NLM366056069 | ||
| 003 | DE-627 | ||
| 005 | 20240114234824.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 231227s2023 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1186/s12887-023-04386-3 |2 doi | |
| 028 | 5 | 2 | |a pubmed24n1258.xml |
| 035 | |a (DE-627)NLM366056069 | ||
| 035 | |a (NLM)38114939 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 100 | 1 | |a Zhou, Yang |e verfasserin |4 aut | |
| 245 | 1 | 4 | |a The expression of autophagy markers in IVIG-resistant Kawasaki disease and the establishment of prediction model |
| 264 | 1 | |c 2023 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a ƒaComputermedien |b c |2 rdamedia | ||
| 338 | |a ƒa Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a Date Completed 21.12.2023 | ||
| 500 | |a Date Revised 12.01.2024 | ||
| 500 | |a published: Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a © 2023. The Author(s). | ||
| 520 | |a BACKGROUND: The aim of this study was to find early predictors of Intravenous Immunoglobulin (IVIG)-Resistant Kawasaki Disease | ||
| 520 | |a METHODS: Patients diagnosed with Kawasaki disease were enrolled in this study. Univariate analysis and multiple logistic regression were used to analyze the clinical characteristics and laboratory findings of patients in both groups before IVIG treatment. Independent predictors of Intravenous Immunoglobulin-Resistant Kawasaki Disease were analyzed, and a prediction model for children with Intravenous Immunoglobulin-Resistant Kawasaki Disease was constructed | ||
| 520 | |a RESULTS: A total of 108 children (67 males and 41 females) with IVIG-sensitive Kawasaki disease and 31 children (20 males and 11 females) with IVIG-resistant Kawasaki disease participated in this study. Compared with the IVIG-sensitive group, the duration of hospitalization, ALT, AST, GLB, r-GT, IgG, PCT, and ESR was elevated in the IVIG-resistant KD group, and ATG16L1, LC3II, BECN1, RBC, HGB, ALB, A/G, and CK were significantly lower (P < 0.05). mRNA expression of ESR, BECN1, and LC3II were independent risk factors for IVIG-resistant Kawasaki disease. A logistic regression model and scoring system were established, and the cut-off values of independent risk factors were derived from ROC curves: ESR ≥ 79.5 mm/h, BECN1 ≤ 0.645, LC3II ≤ 0.481. A new scoring system was established according to the respective regression coefficients as follows: ESR ≥ 79.5 mm/h (1 point), BECN1 ≤ 0.645 (1 point). LC3II ≤ 0.481 (2 points), 0-1 as low risk for IVIG non-response, and ≥ 2 as high risk. Applied to this group of study subjects, the sensitivity was 87.10%, specificity 83.33%, Youden index 0.70, AUC 0.9 | ||
| 520 | |a CONCLUSIONS: Autophagy markers ATG16L1, BECN1, and LC3II are down-regulated in the expression of IVIG -resistant KD. ESR, BECN1, and LC3II mRNAs are independent risk factors for IVIG-resistant KD and may be involved in the development of IVIG-resistant KD. This study established a new model that can be used to predict IVIG-resistant KD, and future validation in a larger population is needed | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Research Support, Non-U.S. Gov't | |
| 650 | 4 | |a Autophagy markers | |
| 650 | 4 | |a Immunoglobulin-resistant | |
| 650 | 4 | |a Independent risk factors | |
| 650 | 4 | |a Kawasaki disease | |
| 650 | 4 | |a Predictors | |
| 650 | 4 | |a Scoring model | |
| 650 | 7 | |a Immunoglobulins, Intravenous |2 NLM | |
| 700 | 1 | |a Wu, Yali |e verfasserin |4 aut | |
| 700 | 1 | |a Yuan, Chunhui |e verfasserin |4 aut | |
| 700 | 1 | |a Yin, Wei |e verfasserin |4 aut | |
| 700 | 1 | |a Wang, Baoxiang |e verfasserin |4 aut | |
| 700 | 1 | |a Ding, Yan |e verfasserin |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t BMC pediatrics |d 2001 |g 23(2023), 1 vom: 19. Dez., Seite 642 |w (DE-627)NLM111595932 |x 1471-2431 |7 nnns |
| 773 | 1 | 8 | |g volume:23 |g year:2023 |g number:1 |g day:19 |g month:12 |g pages:642 |
| 856 | 4 | 0 | |u http://dx.doi.org/10.1186/s12887-023-04386-3 |3 Volltext |
| 912 | |a GBV_USEFLAG_A | ||
| 912 | |a GBV_NLM | ||
| 951 | |a AR | ||
| 952 | |d 23 |j 2023 |e 1 |b 19 |c 12 |h 642 | ||