Cargando…
Reduced renal elimination of larger molecules is a strong predictor for mortality
Renal dysfunction is a major risk factor for premature death and has been studied extensively. A new renal syndrome, shrunken pore syndrome (SPS), confers higher mortality in all studied populations. SPS is a condition in which cystatin C-based estimation of glomerular filtration rate (eGFR(cystatin...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9584920/ https://www.ncbi.nlm.nih.gov/pubmed/36266435 http://dx.doi.org/10.1038/s41598-022-22433-4 |
_version_ | 1784813382470205440 |
---|---|
author | Herou, Erik Grubb, Anders Dardashti, Alain Nozohoor, Shahab Zindovic, Igor Ederoth, Per Bjursten, Henrik |
author_facet | Herou, Erik Grubb, Anders Dardashti, Alain Nozohoor, Shahab Zindovic, Igor Ederoth, Per Bjursten, Henrik |
author_sort | Herou, Erik |
collection | PubMed |
description | Renal dysfunction is a major risk factor for premature death and has been studied extensively. A new renal syndrome, shrunken pore syndrome (SPS), confers higher mortality in all studied populations. SPS is a condition in which cystatin C-based estimation of glomerular filtration rate (eGFR(cystatin C)) is ≥ 60% than creatinine-based estimation of glomerular filtration rate (eGFR(creatinine)). We aimed to study the impact of SPS on mortality in a cohort of patients with follow up of up to 10 years. This was a retrospective single centre cohort study. We enrolled 3993 consecutive patients undergoing elective cardiac surgery. Outcome was evaluated using Kaplan Meier analysis and multivariable Cox regression. 1-, 5- and 10-year survival for patients with SPS was 90%, 59% and 45%, and without SPS 98%, 88% and 80% (p < 0.001). SPS was found to be an independent predictor for mortality with an HR of 1.96 (95% CI 1.63–2.36). SPS negatively affected survival regardless of pre-operative renal function. SPS is an independent predictor for mortality after elective cardiac surgery, equal to or greater than risk factors such as diabetes, impaired left ventricular function or renal dysfunction. SPS affected mortality even in patients with normal eGFR. Clinical registration number: ClinicalTrials.gov, ID NCT04141072. |
format | Online Article Text |
id | pubmed-9584920 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-95849202022-10-22 Reduced renal elimination of larger molecules is a strong predictor for mortality Herou, Erik Grubb, Anders Dardashti, Alain Nozohoor, Shahab Zindovic, Igor Ederoth, Per Bjursten, Henrik Sci Rep Article Renal dysfunction is a major risk factor for premature death and has been studied extensively. A new renal syndrome, shrunken pore syndrome (SPS), confers higher mortality in all studied populations. SPS is a condition in which cystatin C-based estimation of glomerular filtration rate (eGFR(cystatin C)) is ≥ 60% than creatinine-based estimation of glomerular filtration rate (eGFR(creatinine)). We aimed to study the impact of SPS on mortality in a cohort of patients with follow up of up to 10 years. This was a retrospective single centre cohort study. We enrolled 3993 consecutive patients undergoing elective cardiac surgery. Outcome was evaluated using Kaplan Meier analysis and multivariable Cox regression. 1-, 5- and 10-year survival for patients with SPS was 90%, 59% and 45%, and without SPS 98%, 88% and 80% (p < 0.001). SPS was found to be an independent predictor for mortality with an HR of 1.96 (95% CI 1.63–2.36). SPS negatively affected survival regardless of pre-operative renal function. SPS is an independent predictor for mortality after elective cardiac surgery, equal to or greater than risk factors such as diabetes, impaired left ventricular function or renal dysfunction. SPS affected mortality even in patients with normal eGFR. Clinical registration number: ClinicalTrials.gov, ID NCT04141072. Nature Publishing Group UK 2022-10-20 /pmc/articles/PMC9584920/ /pubmed/36266435 http://dx.doi.org/10.1038/s41598-022-22433-4 Text en © The Author(s) 2022 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/) . |
spellingShingle | Article Herou, Erik Grubb, Anders Dardashti, Alain Nozohoor, Shahab Zindovic, Igor Ederoth, Per Bjursten, Henrik Reduced renal elimination of larger molecules is a strong predictor for mortality |
title | Reduced renal elimination of larger molecules is a strong predictor for mortality |
title_full | Reduced renal elimination of larger molecules is a strong predictor for mortality |
title_fullStr | Reduced renal elimination of larger molecules is a strong predictor for mortality |
title_full_unstemmed | Reduced renal elimination of larger molecules is a strong predictor for mortality |
title_short | Reduced renal elimination of larger molecules is a strong predictor for mortality |
title_sort | reduced renal elimination of larger molecules is a strong predictor for mortality |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9584920/ https://www.ncbi.nlm.nih.gov/pubmed/36266435 http://dx.doi.org/10.1038/s41598-022-22433-4 |
work_keys_str_mv | AT herouerik reducedrenaleliminationoflargermoleculesisastrongpredictorformortality AT grubbanders reducedrenaleliminationoflargermoleculesisastrongpredictorformortality AT dardashtialain reducedrenaleliminationoflargermoleculesisastrongpredictorformortality AT nozohoorshahab reducedrenaleliminationoflargermoleculesisastrongpredictorformortality AT zindovicigor reducedrenaleliminationoflargermoleculesisastrongpredictorformortality AT ederothper reducedrenaleliminationoflargermoleculesisastrongpredictorformortality AT bjurstenhenrik reducedrenaleliminationoflargermoleculesisastrongpredictorformortality |