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A retrospective analysis of leucocyte count as a strong predictor of survival for patients with acute paraquat poisoning
The aim of this study is the identification of a reliable predictor of prognosis to optimize the treatment of acute paraquat (PQ) poisoning patients. We performed a retrospective analysis on 96 patients with acute PQ poisoning to evaluate leucocyte count as a predictor of 90-day survival. These pati...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6059481/ https://www.ncbi.nlm.nih.gov/pubmed/30044873 http://dx.doi.org/10.1371/journal.pone.0201200 |
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author | Feng, ShunYi Gao, Jie Li, Yong |
author_facet | Feng, ShunYi Gao, Jie Li, Yong |
author_sort | Feng, ShunYi |
collection | PubMed |
description | The aim of this study is the identification of a reliable predictor of prognosis to optimize the treatment of acute paraquat (PQ) poisoning patients. We performed a retrospective analysis on 96 patients with acute PQ poisoning to evaluate leucocyte count as a predictor of 90-day survival. These patients were admitted to the emergency department from May 2012 to February 2017. Kaplan–Meier method was used to compare the 90-day survival. Cox proportional hazard models were utilized to estimate the hazard ratios (HR) and 95% confidence intervals (CI). Receiver operating characteristic (ROC) analysis was conducted to analyze the discriminatory potential of leucocyte with respect to 90-day survival. Result showed that leucocyte was significantly higher among nonsurvivors than that among survivors (p<0.001). Leukocyte was also an independent predictor of survival according to the multivariate Cox analysis (HR 1.103; 95%CI: 1.062–1.146; p<0.001). The area under the curve (AUC) for leucocyte (AUC 0.911; 95%CI: 0.855–0.966; p<0.001) showed a discriminatory potential similar to that of the plasma PQ concentration (AUC 0.961; 95%CI: 0.926–0.997; p<0.001) in predicting 90-day survival. The leucocyte count is a strong predictor of survival in patients with acute PQ poisoning. |
format | Online Article Text |
id | pubmed-6059481 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-60594812018-08-09 A retrospective analysis of leucocyte count as a strong predictor of survival for patients with acute paraquat poisoning Feng, ShunYi Gao, Jie Li, Yong PLoS One Research Article The aim of this study is the identification of a reliable predictor of prognosis to optimize the treatment of acute paraquat (PQ) poisoning patients. We performed a retrospective analysis on 96 patients with acute PQ poisoning to evaluate leucocyte count as a predictor of 90-day survival. These patients were admitted to the emergency department from May 2012 to February 2017. Kaplan–Meier method was used to compare the 90-day survival. Cox proportional hazard models were utilized to estimate the hazard ratios (HR) and 95% confidence intervals (CI). Receiver operating characteristic (ROC) analysis was conducted to analyze the discriminatory potential of leucocyte with respect to 90-day survival. Result showed that leucocyte was significantly higher among nonsurvivors than that among survivors (p<0.001). Leukocyte was also an independent predictor of survival according to the multivariate Cox analysis (HR 1.103; 95%CI: 1.062–1.146; p<0.001). The area under the curve (AUC) for leucocyte (AUC 0.911; 95%CI: 0.855–0.966; p<0.001) showed a discriminatory potential similar to that of the plasma PQ concentration (AUC 0.961; 95%CI: 0.926–0.997; p<0.001) in predicting 90-day survival. The leucocyte count is a strong predictor of survival in patients with acute PQ poisoning. Public Library of Science 2018-07-25 /pmc/articles/PMC6059481/ /pubmed/30044873 http://dx.doi.org/10.1371/journal.pone.0201200 Text en © 2018 Feng et al http://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/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Feng, ShunYi Gao, Jie Li, Yong A retrospective analysis of leucocyte count as a strong predictor of survival for patients with acute paraquat poisoning |
title | A retrospective analysis of leucocyte count as a strong predictor of survival for patients with acute paraquat poisoning |
title_full | A retrospective analysis of leucocyte count as a strong predictor of survival for patients with acute paraquat poisoning |
title_fullStr | A retrospective analysis of leucocyte count as a strong predictor of survival for patients with acute paraquat poisoning |
title_full_unstemmed | A retrospective analysis of leucocyte count as a strong predictor of survival for patients with acute paraquat poisoning |
title_short | A retrospective analysis of leucocyte count as a strong predictor of survival for patients with acute paraquat poisoning |
title_sort | retrospective analysis of leucocyte count as a strong predictor of survival for patients with acute paraquat poisoning |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6059481/ https://www.ncbi.nlm.nih.gov/pubmed/30044873 http://dx.doi.org/10.1371/journal.pone.0201200 |
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