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Biomarkers Predicting Survival of Sepsis Patients Treated with Continuous Renal Replacement Therapy
The present study investigated the prognostic factors predicting survival of patients with sepsis and acute kidney injury (AKI) undergoing continuous renal replacement therapy (CRRT). This retrospective observational study included 165 sepsis patients treated with CRRT. The patients were divided int...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Chonnam National University Medical School
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5299131/ https://www.ncbi.nlm.nih.gov/pubmed/28184340 http://dx.doi.org/10.4068/cmj.2017.53.1.64 |
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author | Lee, Jeong Ho Kim, Ha Yeon Bae, Eun Hui Kim, Soo Wan Ma, Seong Kwon |
author_facet | Lee, Jeong Ho Kim, Ha Yeon Bae, Eun Hui Kim, Soo Wan Ma, Seong Kwon |
author_sort | Lee, Jeong Ho |
collection | PubMed |
description | The present study investigated the prognostic factors predicting survival of patients with sepsis and acute kidney injury (AKI) undergoing continuous renal replacement therapy (CRRT). This retrospective observational study included 165 sepsis patients treated with CRRT. The patients were divided into two groups; the survivor group (n=73, 44.2%) vs. the nonsurvivor group (n=92, 55.8%). AKI was defined by the 2012 Kidney Disease: Improving Global Outcomes Clinical Practice Guidelines. We analyzed medical histories, clinical characteristics and laboratory findings of the enrolled patients when they started CRRT. In addition, we performed binary logistic regression and cox regression analysis. In the survivor group, urine output during the first day was significantly higher compared with the nonsurvivor group (55.7±66.3 vs. 26.6±46.4, p=0.001). Patients with urine output <30 mL/hour during the 1st day showed worse outcomes than ≥30 mL/hour in the logistic regression (hazard ratio 2.464, 95% confidence interval 1.152-5.271, p=0.020) and the cox regression analysis (hazard ratio 1.935, 95% confidence interval 1.147-3.263, p=0.013). In conclusion, urine output may predict survival of septic AKI patients undergoing CRRT. In these patients, urine output <30 mL/hour during the first day was the strongest risk factor for in-hospital mortality. |
format | Online Article Text |
id | pubmed-5299131 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Chonnam National University Medical School |
record_format | MEDLINE/PubMed |
spelling | pubmed-52991312017-02-09 Biomarkers Predicting Survival of Sepsis Patients Treated with Continuous Renal Replacement Therapy Lee, Jeong Ho Kim, Ha Yeon Bae, Eun Hui Kim, Soo Wan Ma, Seong Kwon Chonnam Med J Original Article The present study investigated the prognostic factors predicting survival of patients with sepsis and acute kidney injury (AKI) undergoing continuous renal replacement therapy (CRRT). This retrospective observational study included 165 sepsis patients treated with CRRT. The patients were divided into two groups; the survivor group (n=73, 44.2%) vs. the nonsurvivor group (n=92, 55.8%). AKI was defined by the 2012 Kidney Disease: Improving Global Outcomes Clinical Practice Guidelines. We analyzed medical histories, clinical characteristics and laboratory findings of the enrolled patients when they started CRRT. In addition, we performed binary logistic regression and cox regression analysis. In the survivor group, urine output during the first day was significantly higher compared with the nonsurvivor group (55.7±66.3 vs. 26.6±46.4, p=0.001). Patients with urine output <30 mL/hour during the 1st day showed worse outcomes than ≥30 mL/hour in the logistic regression (hazard ratio 2.464, 95% confidence interval 1.152-5.271, p=0.020) and the cox regression analysis (hazard ratio 1.935, 95% confidence interval 1.147-3.263, p=0.013). In conclusion, urine output may predict survival of septic AKI patients undergoing CRRT. In these patients, urine output <30 mL/hour during the first day was the strongest risk factor for in-hospital mortality. Chonnam National University Medical School 2017-01 2017-01-25 /pmc/articles/PMC5299131/ /pubmed/28184340 http://dx.doi.org/10.4068/cmj.2017.53.1.64 Text en © Chonnam Medical Journal, 2017 http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Lee, Jeong Ho Kim, Ha Yeon Bae, Eun Hui Kim, Soo Wan Ma, Seong Kwon Biomarkers Predicting Survival of Sepsis Patients Treated with Continuous Renal Replacement Therapy |
title | Biomarkers Predicting Survival of Sepsis Patients Treated with Continuous Renal Replacement Therapy |
title_full | Biomarkers Predicting Survival of Sepsis Patients Treated with Continuous Renal Replacement Therapy |
title_fullStr | Biomarkers Predicting Survival of Sepsis Patients Treated with Continuous Renal Replacement Therapy |
title_full_unstemmed | Biomarkers Predicting Survival of Sepsis Patients Treated with Continuous Renal Replacement Therapy |
title_short | Biomarkers Predicting Survival of Sepsis Patients Treated with Continuous Renal Replacement Therapy |
title_sort | biomarkers predicting survival of sepsis patients treated with continuous renal replacement therapy |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5299131/ https://www.ncbi.nlm.nih.gov/pubmed/28184340 http://dx.doi.org/10.4068/cmj.2017.53.1.64 |
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