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The effect of glucocorticoids on serum cystatin C in identifying acute kidney injury: a propensity-matched cohort study
BACKGROUND: Glucocorticoids may impact the accuracy of serum cystatin C (sCysC) in reflecting renal function. We aimed to assess the effect of glucocorticoids on the performance of sCysC in detecting acute kidney injury (AKI) in critically ill patients. METHODS: A prospective observational cohort st...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7694927/ https://www.ncbi.nlm.nih.gov/pubmed/33246435 http://dx.doi.org/10.1186/s12882-020-02165-1 |
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author | Liang, Silin Shi, Mai Bai, Yunpeng Deng, Yujun Fang, Miaoxian Li, Jiaxin Wu, Yijin Peng, Wenying Hou, Yating Fang, Heng Zhang, Huidan Chen, Chunbo |
author_facet | Liang, Silin Shi, Mai Bai, Yunpeng Deng, Yujun Fang, Miaoxian Li, Jiaxin Wu, Yijin Peng, Wenying Hou, Yating Fang, Heng Zhang, Huidan Chen, Chunbo |
author_sort | Liang, Silin |
collection | PubMed |
description | BACKGROUND: Glucocorticoids may impact the accuracy of serum cystatin C (sCysC) in reflecting renal function. We aimed to assess the effect of glucocorticoids on the performance of sCysC in detecting acute kidney injury (AKI) in critically ill patients. METHODS: A prospective observational cohort study was performed in a general intensive care unit (ICU). Using propensity score matching, we successfully matched 240 glucocorticoid users with 960 non-users among 2716 patients. Serum creatinine (SCr) and sCysC were measured for all patients at ICU admission. Patients were divided into four groups based on cumulative doses of glucocorticoids within 5 days before ICU admission (Group I: non-users; Group II: 0 mg < prednisone ≤50 mg; Group III: 50 mg < prednisone ≤150 mg; Group IV: prednisone > 150 mg). We compared the performance of sCysC for diagnosing and predicting AKI in different groups using the area under the receiver operator characteristic curve (AUC). RESULTS: A total of 240 patients received glucocorticoid medication within 5 days before ICU admission. Before and after matching, the differences of sCysC levels between glucocorticoid users and non-users were both significant (P < 0.001). The multiple linear regression analysis revealed that glucocorticoids were independently associated with sCysC (P < 0.001). After matching, the group I had significantly lower sCysC levels than the group III and group IV (P < 0.05), but there were no significant differences in sCysC levels within different glucocorticoids recipient groups (P > 0.05). Simultaneously, we did not find significant differences in the AUC between any two groups in the matched cohort (P > 0.05). CONCLUSIONS: Glucocorticoids did not impact the performance of sCysC in identifying AKI in critically ill patients. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12882-020-02165-1. |
format | Online Article Text |
id | pubmed-7694927 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-76949272020-11-30 The effect of glucocorticoids on serum cystatin C in identifying acute kidney injury: a propensity-matched cohort study Liang, Silin Shi, Mai Bai, Yunpeng Deng, Yujun Fang, Miaoxian Li, Jiaxin Wu, Yijin Peng, Wenying Hou, Yating Fang, Heng Zhang, Huidan Chen, Chunbo BMC Nephrol Research Article BACKGROUND: Glucocorticoids may impact the accuracy of serum cystatin C (sCysC) in reflecting renal function. We aimed to assess the effect of glucocorticoids on the performance of sCysC in detecting acute kidney injury (AKI) in critically ill patients. METHODS: A prospective observational cohort study was performed in a general intensive care unit (ICU). Using propensity score matching, we successfully matched 240 glucocorticoid users with 960 non-users among 2716 patients. Serum creatinine (SCr) and sCysC were measured for all patients at ICU admission. Patients were divided into four groups based on cumulative doses of glucocorticoids within 5 days before ICU admission (Group I: non-users; Group II: 0 mg < prednisone ≤50 mg; Group III: 50 mg < prednisone ≤150 mg; Group IV: prednisone > 150 mg). We compared the performance of sCysC for diagnosing and predicting AKI in different groups using the area under the receiver operator characteristic curve (AUC). RESULTS: A total of 240 patients received glucocorticoid medication within 5 days before ICU admission. Before and after matching, the differences of sCysC levels between glucocorticoid users and non-users were both significant (P < 0.001). The multiple linear regression analysis revealed that glucocorticoids were independently associated with sCysC (P < 0.001). After matching, the group I had significantly lower sCysC levels than the group III and group IV (P < 0.05), but there were no significant differences in sCysC levels within different glucocorticoids recipient groups (P > 0.05). Simultaneously, we did not find significant differences in the AUC between any two groups in the matched cohort (P > 0.05). CONCLUSIONS: Glucocorticoids did not impact the performance of sCysC in identifying AKI in critically ill patients. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12882-020-02165-1. BioMed Central 2020-11-27 /pmc/articles/PMC7694927/ /pubmed/33246435 http://dx.doi.org/10.1186/s12882-020-02165-1 Text en © The Author(s) 2020 Open AccessThis 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/. The Creative Commons Public Domain Dedication waiver (http://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 Article Liang, Silin Shi, Mai Bai, Yunpeng Deng, Yujun Fang, Miaoxian Li, Jiaxin Wu, Yijin Peng, Wenying Hou, Yating Fang, Heng Zhang, Huidan Chen, Chunbo The effect of glucocorticoids on serum cystatin C in identifying acute kidney injury: a propensity-matched cohort study |
title | The effect of glucocorticoids on serum cystatin C in identifying acute kidney injury: a propensity-matched cohort study |
title_full | The effect of glucocorticoids on serum cystatin C in identifying acute kidney injury: a propensity-matched cohort study |
title_fullStr | The effect of glucocorticoids on serum cystatin C in identifying acute kidney injury: a propensity-matched cohort study |
title_full_unstemmed | The effect of glucocorticoids on serum cystatin C in identifying acute kidney injury: a propensity-matched cohort study |
title_short | The effect of glucocorticoids on serum cystatin C in identifying acute kidney injury: a propensity-matched cohort study |
title_sort | effect of glucocorticoids on serum cystatin c in identifying acute kidney injury: a propensity-matched cohort study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7694927/ https://www.ncbi.nlm.nih.gov/pubmed/33246435 http://dx.doi.org/10.1186/s12882-020-02165-1 |
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