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Derivation and validation of urinary TIMP-1 for the prediction of acute kidney injury and mortality in critically ill children

BACKGROUND: Acute kidney injury (AKI) is associated with high morbidity and mortality. Multiple urinary biomarkers have been identified to be associated with the prediction of AKI and outcomes. However, the accuracy of these urinary biomarkers for AKI and associated outcomes has not been clearly def...

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Autores principales: Huang, Hui, Lin, Qiang, Dai, Xiaomei, Chen, Jiao, Bai, Zhenjiang, Li, Xiaozhong, Fang, Fang, Li, Yanhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8867638/
https://www.ncbi.nlm.nih.gov/pubmed/35197070
http://dx.doi.org/10.1186/s12967-022-03302-0
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author Huang, Hui
Lin, Qiang
Dai, Xiaomei
Chen, Jiao
Bai, Zhenjiang
Li, Xiaozhong
Fang, Fang
Li, Yanhong
author_facet Huang, Hui
Lin, Qiang
Dai, Xiaomei
Chen, Jiao
Bai, Zhenjiang
Li, Xiaozhong
Fang, Fang
Li, Yanhong
author_sort Huang, Hui
collection PubMed
description BACKGROUND: Acute kidney injury (AKI) is associated with high morbidity and mortality. Multiple urinary biomarkers have been identified to be associated with the prediction of AKI and outcomes. However, the accuracy of these urinary biomarkers for AKI and associated outcomes has not been clearly defined, especially in heterogeneous populations. The aims of the study were to compare the ability of 10 existing or potential urinary biomarkers to predict AKI and pediatric intensive care unit (PICU) mortality and validate urinary tissue inhibitor of metalloproteinases-1 (uTIMP-1) as a better biomarker for early prediction in heterogeneous critically ill children. METHODS: A derivation-validation approach with separate critically ill cohorts was designed. We first conducted a prospective cohort study to determine the ability of 10 urinary biomarkers serially measured in 123 children during the first 7 days of PICU stay to predict AKI and PICU mortality (derivation study) and further validated the better biomarker of uTIMP-1 in a separate cohort of 357 critically ill children (validation study). AKI diagnosis was based on KDIGO classification with serum creatinine and urine output. PICU mortality was defined as all-cause mortality. RESULTS: In the derivation cohort, 17 of 123 (13.8%) children developed AKI stage 3 or died during the PICU stay, and both the initial and peak uTIMP-1 displayed the highest AUCs of 0.87 (0.79–0.94) and 0.90 (0.84–0.96), respectively, for predicting AKI stage 3 or death. In the validation cohort, 78 of 357 (21.8%) developed AKI during the first week after admission, and 38 (10.6%) died during the PICU stay. The initial uTIMP-1 level was validated to be independently associated with AKI (AOR = 2.88, 95% CI 1.97–4.21), severe AKI (AOR = 2.62, 95% CI 1.78–3.88), AKI stage 3 (AOR = 2.94, 95% CI 1.84–4.68) and PICU mortality (AOR = 1.92, 95% CI 1.11–3.30) after adjustment for potential confounders. The predictive values of uTIMP-1 for AKI, severe AKI, AKI stage 3 and PICU mortality were 0.80 (0.74–0.86), 0.83 (0.77–0.89), 0.84 (0.77–0.92) and 0.83 (0.76–0.89), respectively. CONCLUSIONS: Urinary TIMP-1 levels have been identified and validated to be independently associated with AKI and PICU mortality in independent prospective cohorts and may be an early potential indicator of AKI and PICU mortality in critically ill children. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12967-022-03302-0.
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spelling pubmed-88676382022-02-28 Derivation and validation of urinary TIMP-1 for the prediction of acute kidney injury and mortality in critically ill children Huang, Hui Lin, Qiang Dai, Xiaomei Chen, Jiao Bai, Zhenjiang Li, Xiaozhong Fang, Fang Li, Yanhong J Transl Med Research BACKGROUND: Acute kidney injury (AKI) is associated with high morbidity and mortality. Multiple urinary biomarkers have been identified to be associated with the prediction of AKI and outcomes. However, the accuracy of these urinary biomarkers for AKI and associated outcomes has not been clearly defined, especially in heterogeneous populations. The aims of the study were to compare the ability of 10 existing or potential urinary biomarkers to predict AKI and pediatric intensive care unit (PICU) mortality and validate urinary tissue inhibitor of metalloproteinases-1 (uTIMP-1) as a better biomarker for early prediction in heterogeneous critically ill children. METHODS: A derivation-validation approach with separate critically ill cohorts was designed. We first conducted a prospective cohort study to determine the ability of 10 urinary biomarkers serially measured in 123 children during the first 7 days of PICU stay to predict AKI and PICU mortality (derivation study) and further validated the better biomarker of uTIMP-1 in a separate cohort of 357 critically ill children (validation study). AKI diagnosis was based on KDIGO classification with serum creatinine and urine output. PICU mortality was defined as all-cause mortality. RESULTS: In the derivation cohort, 17 of 123 (13.8%) children developed AKI stage 3 or died during the PICU stay, and both the initial and peak uTIMP-1 displayed the highest AUCs of 0.87 (0.79–0.94) and 0.90 (0.84–0.96), respectively, for predicting AKI stage 3 or death. In the validation cohort, 78 of 357 (21.8%) developed AKI during the first week after admission, and 38 (10.6%) died during the PICU stay. The initial uTIMP-1 level was validated to be independently associated with AKI (AOR = 2.88, 95% CI 1.97–4.21), severe AKI (AOR = 2.62, 95% CI 1.78–3.88), AKI stage 3 (AOR = 2.94, 95% CI 1.84–4.68) and PICU mortality (AOR = 1.92, 95% CI 1.11–3.30) after adjustment for potential confounders. The predictive values of uTIMP-1 for AKI, severe AKI, AKI stage 3 and PICU mortality were 0.80 (0.74–0.86), 0.83 (0.77–0.89), 0.84 (0.77–0.92) and 0.83 (0.76–0.89), respectively. CONCLUSIONS: Urinary TIMP-1 levels have been identified and validated to be independently associated with AKI and PICU mortality in independent prospective cohorts and may be an early potential indicator of AKI and PICU mortality in critically ill children. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12967-022-03302-0. BioMed Central 2022-02-23 /pmc/articles/PMC8867638/ /pubmed/35197070 http://dx.doi.org/10.1186/s12967-022-03302-0 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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/ (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
Huang, Hui
Lin, Qiang
Dai, Xiaomei
Chen, Jiao
Bai, Zhenjiang
Li, Xiaozhong
Fang, Fang
Li, Yanhong
Derivation and validation of urinary TIMP-1 for the prediction of acute kidney injury and mortality in critically ill children
title Derivation and validation of urinary TIMP-1 for the prediction of acute kidney injury and mortality in critically ill children
title_full Derivation and validation of urinary TIMP-1 for the prediction of acute kidney injury and mortality in critically ill children
title_fullStr Derivation and validation of urinary TIMP-1 for the prediction of acute kidney injury and mortality in critically ill children
title_full_unstemmed Derivation and validation of urinary TIMP-1 for the prediction of acute kidney injury and mortality in critically ill children
title_short Derivation and validation of urinary TIMP-1 for the prediction of acute kidney injury and mortality in critically ill children
title_sort derivation and validation of urinary timp-1 for the prediction of acute kidney injury and mortality in critically ill children
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8867638/
https://www.ncbi.nlm.nih.gov/pubmed/35197070
http://dx.doi.org/10.1186/s12967-022-03302-0
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