Cargando…
Platelet-leukocyte aggregates – a predictor for acute kidney injury after cardiac surgery
BACKGROUND: Acute kidney injury (AKI) is one of the most common complications after cardiac surgery. However, effective biomarker used for early diagnosis of AKI has not been identified. Platelet-leukocyte aggregates (PLAs) participate in inflammation and coagulation, leading to vascular lesions and...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taylor & Francis
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8288121/ https://www.ncbi.nlm.nih.gov/pubmed/34266358 http://dx.doi.org/10.1080/0886022X.2021.1948864 |
_version_ | 1783724039583301632 |
---|---|
author | Yang, Shenghan Huang, Xunbei Liao, Juan Li, Qin Chen, Si Liu, Chaonan Ling, Liqin Zhou, Jing |
author_facet | Yang, Shenghan Huang, Xunbei Liao, Juan Li, Qin Chen, Si Liu, Chaonan Ling, Liqin Zhou, Jing |
author_sort | Yang, Shenghan |
collection | PubMed |
description | BACKGROUND: Acute kidney injury (AKI) is one of the most common complications after cardiac surgery. However, effective biomarker used for early diagnosis of AKI has not been identified. Platelet-leukocyte aggregates (PLAs) participate in inflammation and coagulation, leading to vascular lesions and tissue destruction. We designed a prospective study to assess whether PLAs can serve as a good biomarker for early diagnosis of AKI after cardiac surgery. METHODS: Patients with rheumatic heart disease scheduled to undergo valve replacement surgery were enrolled. Blood samples were collected at five timepoints as follows: (a) At baseline. (b) At the end of extracorporeal circulation. (c) Arrival at intensive care unit (ICU). (d) Four-hours after the admission to ICU. (e) Twenty hours after the admission to ICU. After collection, the samples were immediately used for PLAs measurement by flow cytometry. RESULTS: A total of 244 patients were registered, and 15 of them were diagnosed with AKI according to the serum creatinine of KDIGO guidelines. The PLAs levels in AKI group were significantly increased 20 h after surgery (two-way repeated measure analysis of variance, p < 0.01) compared with that at baseline. Patients whose preoperative PLAs were higher than 6.8% showed increased risk of developing AKI (multivariate logistic regression; p = 0.01; adjusted odds ratio, 1.05; 95% confidence interval, 1.01–1.09). CONCLUSION: PLAs is an independent risk factor for AKI after valve replacement among patients with rheumatic heart disease. |
format | Online Article Text |
id | pubmed-8288121 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Taylor & Francis |
record_format | MEDLINE/PubMed |
spelling | pubmed-82881212021-08-02 Platelet-leukocyte aggregates – a predictor for acute kidney injury after cardiac surgery Yang, Shenghan Huang, Xunbei Liao, Juan Li, Qin Chen, Si Liu, Chaonan Ling, Liqin Zhou, Jing Ren Fail Clinical Study BACKGROUND: Acute kidney injury (AKI) is one of the most common complications after cardiac surgery. However, effective biomarker used for early diagnosis of AKI has not been identified. Platelet-leukocyte aggregates (PLAs) participate in inflammation and coagulation, leading to vascular lesions and tissue destruction. We designed a prospective study to assess whether PLAs can serve as a good biomarker for early diagnosis of AKI after cardiac surgery. METHODS: Patients with rheumatic heart disease scheduled to undergo valve replacement surgery were enrolled. Blood samples were collected at five timepoints as follows: (a) At baseline. (b) At the end of extracorporeal circulation. (c) Arrival at intensive care unit (ICU). (d) Four-hours after the admission to ICU. (e) Twenty hours after the admission to ICU. After collection, the samples were immediately used for PLAs measurement by flow cytometry. RESULTS: A total of 244 patients were registered, and 15 of them were diagnosed with AKI according to the serum creatinine of KDIGO guidelines. The PLAs levels in AKI group were significantly increased 20 h after surgery (two-way repeated measure analysis of variance, p < 0.01) compared with that at baseline. Patients whose preoperative PLAs were higher than 6.8% showed increased risk of developing AKI (multivariate logistic regression; p = 0.01; adjusted odds ratio, 1.05; 95% confidence interval, 1.01–1.09). CONCLUSION: PLAs is an independent risk factor for AKI after valve replacement among patients with rheumatic heart disease. Taylor & Francis 2021-07-15 /pmc/articles/PMC8288121/ /pubmed/34266358 http://dx.doi.org/10.1080/0886022X.2021.1948864 Text en © 2021 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Clinical Study Yang, Shenghan Huang, Xunbei Liao, Juan Li, Qin Chen, Si Liu, Chaonan Ling, Liqin Zhou, Jing Platelet-leukocyte aggregates – a predictor for acute kidney injury after cardiac surgery |
title | Platelet-leukocyte aggregates – a predictor for acute kidney injury after cardiac surgery |
title_full | Platelet-leukocyte aggregates – a predictor for acute kidney injury after cardiac surgery |
title_fullStr | Platelet-leukocyte aggregates – a predictor for acute kidney injury after cardiac surgery |
title_full_unstemmed | Platelet-leukocyte aggregates – a predictor for acute kidney injury after cardiac surgery |
title_short | Platelet-leukocyte aggregates – a predictor for acute kidney injury after cardiac surgery |
title_sort | platelet-leukocyte aggregates – a predictor for acute kidney injury after cardiac surgery |
topic | Clinical Study |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8288121/ https://www.ncbi.nlm.nih.gov/pubmed/34266358 http://dx.doi.org/10.1080/0886022X.2021.1948864 |
work_keys_str_mv | AT yangshenghan plateletleukocyteaggregatesapredictorforacutekidneyinjuryaftercardiacsurgery AT huangxunbei plateletleukocyteaggregatesapredictorforacutekidneyinjuryaftercardiacsurgery AT liaojuan plateletleukocyteaggregatesapredictorforacutekidneyinjuryaftercardiacsurgery AT liqin plateletleukocyteaggregatesapredictorforacutekidneyinjuryaftercardiacsurgery AT chensi plateletleukocyteaggregatesapredictorforacutekidneyinjuryaftercardiacsurgery AT liuchaonan plateletleukocyteaggregatesapredictorforacutekidneyinjuryaftercardiacsurgery AT lingliqin plateletleukocyteaggregatesapredictorforacutekidneyinjuryaftercardiacsurgery AT zhoujing plateletleukocyteaggregatesapredictorforacutekidneyinjuryaftercardiacsurgery |