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Low HDL-C can be a biomarker to predict persistent severe AKI in septic patients? A retrospective cohort study

PURPOSES: Low HDL-C is associated with an increased risk of sepsis-associated AKI and subsequent decline in eGFR. HDL-C possesses anti-inflammatory, antioxidant, and endothelial repair-promoting properties. The use of Apo A-I mimetic peptides, which are the main structural components of HDL-C, has b...

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Autores principales: Jiang, Wei, Song, Lin, Gong, Weilei, Zhang, Yaosheng, Shi, Kerang, Liao, Ting, Zhang, Chuanqing, Yu, Jiangquan, Zheng, Ruiqiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10696658/
http://dx.doi.org/10.1186/s40001-023-01513-9
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author Jiang, Wei
Song, Lin
Gong, Weilei
Zhang, Yaosheng
Shi, Kerang
Liao, Ting
Zhang, Chuanqing
Yu, Jiangquan
Zheng, Ruiqiang
author_facet Jiang, Wei
Song, Lin
Gong, Weilei
Zhang, Yaosheng
Shi, Kerang
Liao, Ting
Zhang, Chuanqing
Yu, Jiangquan
Zheng, Ruiqiang
author_sort Jiang, Wei
collection PubMed
description PURPOSES: Low HDL-C is associated with an increased risk of sepsis-associated AKI and subsequent decline in eGFR. HDL-C possesses anti-inflammatory, antioxidant, and endothelial repair-promoting properties. The use of Apo A-I mimetic peptides, which are the main structural components of HDL-C, has been shown to improve renal function in animal models of sepsis. However, the diagnostic value of low HDL-C in persistent sepsis-associated AKI remains unclear. METHODS: This is a retrospective cohort study based on MIMIC IV (V 2.2). The study population consisted of all adult septic patients admitted to the Beth Israel Deaconess Medical Center Intensive Care Unit from 2008 to 2019, with plasma HDL-C measured within 24 h of ICU admission. The primary endpoint was persistent severe sepsis-associated acute kidney injury (SA-AKI) and the secondary endpoint is kidney replacement therapy (KRT). Logistic regression was used to assess the correlation between HDL-C and persistent severe SA-AKI and KRT, and receiver operating characteristic (ROC) curve analysis was performed to evaluate predictive ability. RESULTS: A total of 604 cases of SA-AKI patients were included in the analysis, among which 88 cases (14.5%) experienced persistent severe SA-AKI. The median (IQR) HDL-C level in the group with persistent severe SA-AKI was lower (33.0 [24.0–45.5]) compared to the non-persistent severe SA-AKI group (42.0 [31.0–53.0]). However, HDL-C showed poor discriminatory ability with an AUROC [95%CI] of 0.62 [0.56–0.69]. Clinical prediction models based on serum creatinine concentration, 24-h creatinine change, APSIIIscore, lactate levels, APTT, and heart rate performed well in predicting persistent severe SA-AKI with an AUROC [95%CI] of 0.876 [0.84–0.91]. However, adding HDL-C to this model did not improve predictive performance. CONCLUSIONS: The plasma HDL-C measured within 24 h after admission to the ICU does not provide a good prediction for persistent severe SA-AKI, and it does not improve the clinical predictive ability compared to conventional variables. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40001-023-01513-9.
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spelling pubmed-106966582023-12-06 Low HDL-C can be a biomarker to predict persistent severe AKI in septic patients? A retrospective cohort study Jiang, Wei Song, Lin Gong, Weilei Zhang, Yaosheng Shi, Kerang Liao, Ting Zhang, Chuanqing Yu, Jiangquan Zheng, Ruiqiang Eur J Med Res Research PURPOSES: Low HDL-C is associated with an increased risk of sepsis-associated AKI and subsequent decline in eGFR. HDL-C possesses anti-inflammatory, antioxidant, and endothelial repair-promoting properties. The use of Apo A-I mimetic peptides, which are the main structural components of HDL-C, has been shown to improve renal function in animal models of sepsis. However, the diagnostic value of low HDL-C in persistent sepsis-associated AKI remains unclear. METHODS: This is a retrospective cohort study based on MIMIC IV (V 2.2). The study population consisted of all adult septic patients admitted to the Beth Israel Deaconess Medical Center Intensive Care Unit from 2008 to 2019, with plasma HDL-C measured within 24 h of ICU admission. The primary endpoint was persistent severe sepsis-associated acute kidney injury (SA-AKI) and the secondary endpoint is kidney replacement therapy (KRT). Logistic regression was used to assess the correlation between HDL-C and persistent severe SA-AKI and KRT, and receiver operating characteristic (ROC) curve analysis was performed to evaluate predictive ability. RESULTS: A total of 604 cases of SA-AKI patients were included in the analysis, among which 88 cases (14.5%) experienced persistent severe SA-AKI. The median (IQR) HDL-C level in the group with persistent severe SA-AKI was lower (33.0 [24.0–45.5]) compared to the non-persistent severe SA-AKI group (42.0 [31.0–53.0]). However, HDL-C showed poor discriminatory ability with an AUROC [95%CI] of 0.62 [0.56–0.69]. Clinical prediction models based on serum creatinine concentration, 24-h creatinine change, APSIIIscore, lactate levels, APTT, and heart rate performed well in predicting persistent severe SA-AKI with an AUROC [95%CI] of 0.876 [0.84–0.91]. However, adding HDL-C to this model did not improve predictive performance. CONCLUSIONS: The plasma HDL-C measured within 24 h after admission to the ICU does not provide a good prediction for persistent severe SA-AKI, and it does not improve the clinical predictive ability compared to conventional variables. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40001-023-01513-9. BioMed Central 2023-12-05 /pmc/articles/PMC10696658/ http://dx.doi.org/10.1186/s40001-023-01513-9 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
Jiang, Wei
Song, Lin
Gong, Weilei
Zhang, Yaosheng
Shi, Kerang
Liao, Ting
Zhang, Chuanqing
Yu, Jiangquan
Zheng, Ruiqiang
Low HDL-C can be a biomarker to predict persistent severe AKI in septic patients? A retrospective cohort study
title Low HDL-C can be a biomarker to predict persistent severe AKI in septic patients? A retrospective cohort study
title_full Low HDL-C can be a biomarker to predict persistent severe AKI in septic patients? A retrospective cohort study
title_fullStr Low HDL-C can be a biomarker to predict persistent severe AKI in septic patients? A retrospective cohort study
title_full_unstemmed Low HDL-C can be a biomarker to predict persistent severe AKI in septic patients? A retrospective cohort study
title_short Low HDL-C can be a biomarker to predict persistent severe AKI in septic patients? A retrospective cohort study
title_sort low hdl-c can be a biomarker to predict persistent severe aki in septic patients? a retrospective cohort study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10696658/
http://dx.doi.org/10.1186/s40001-023-01513-9
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