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Serum anion gap at admission as a predictor of the survival of patients with paraquat poisoning: A retrospective analysis
Paraquat (PQ) poisoning is associated with high mortality rate. Therefore, an accurate method for predicting the survival of patients with PQ poisoning is required. This study evaluated the value of serum anion gap (AG) at admission in predicting the survival of such patients. Cases of patients with...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer Health
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7402740/ https://www.ncbi.nlm.nih.gov/pubmed/32756123 http://dx.doi.org/10.1097/MD.0000000000021351 |
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author | Zhao, Yong Feng, Shun Yi Li, Yong |
author_facet | Zhao, Yong Feng, Shun Yi Li, Yong |
author_sort | Zhao, Yong |
collection | PubMed |
description | Paraquat (PQ) poisoning is associated with high mortality rate. Therefore, an accurate method for predicting the survival of patients with PQ poisoning is required. This study evaluated the value of serum anion gap (AG) at admission in predicting the survival of such patients. Cases of patients with PQ poisoning admitted to Cangzhou Central Hospital between May 2012 and March 2019 were retrospectively analyzed. The patients were classified into survival and nonsurvival groups on the basis of their 90-day prognosis. Correlation analysis, Cox regression analysis, and receiver operating characteristic and Kaplan–Meier curve analyses were performed to assess the value of AG in predicting the 90-day survival of patients with PQ poisoning. Only 44 of the 108 patients with PQ poisoning survived; thus, the 90-day survival was 40.74%. AG levels at admission were significantly higher in nonsurvivors (26.53 ± 4.93 mmol/L) than in survivors (20.88 ± 2.74 mmol/L) (P < .001) and negatively correlated with 90-day survival (r = −0.557; P < .001). Cox regression analysis revealed that AG at admission is an independent prognostic marker of the 90-day survival of patients with PQ poisoning. AG level at admission had an area under the receiver operating characteristic curve of 0.836 (95% confidence interval: 0.763–0.909) and an optimal cut-off value of 25.5 mmol/L (59.4% sensitivity and 95.5% specificity). AG level at admission may serve as a candidate marker for predicting the survival of patients with PQ poisoning. |
format | Online Article Text |
id | pubmed-7402740 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Wolters Kluwer Health |
record_format | MEDLINE/PubMed |
spelling | pubmed-74027402020-08-05 Serum anion gap at admission as a predictor of the survival of patients with paraquat poisoning: A retrospective analysis Zhao, Yong Feng, Shun Yi Li, Yong Medicine (Baltimore) 3900 Paraquat (PQ) poisoning is associated with high mortality rate. Therefore, an accurate method for predicting the survival of patients with PQ poisoning is required. This study evaluated the value of serum anion gap (AG) at admission in predicting the survival of such patients. Cases of patients with PQ poisoning admitted to Cangzhou Central Hospital between May 2012 and March 2019 were retrospectively analyzed. The patients were classified into survival and nonsurvival groups on the basis of their 90-day prognosis. Correlation analysis, Cox regression analysis, and receiver operating characteristic and Kaplan–Meier curve analyses were performed to assess the value of AG in predicting the 90-day survival of patients with PQ poisoning. Only 44 of the 108 patients with PQ poisoning survived; thus, the 90-day survival was 40.74%. AG levels at admission were significantly higher in nonsurvivors (26.53 ± 4.93 mmol/L) than in survivors (20.88 ± 2.74 mmol/L) (P < .001) and negatively correlated with 90-day survival (r = −0.557; P < .001). Cox regression analysis revealed that AG at admission is an independent prognostic marker of the 90-day survival of patients with PQ poisoning. AG level at admission had an area under the receiver operating characteristic curve of 0.836 (95% confidence interval: 0.763–0.909) and an optimal cut-off value of 25.5 mmol/L (59.4% sensitivity and 95.5% specificity). AG level at admission may serve as a candidate marker for predicting the survival of patients with PQ poisoning. Wolters Kluwer Health 2020-07-31 /pmc/articles/PMC7402740/ /pubmed/32756123 http://dx.doi.org/10.1097/MD.0000000000021351 Text en Copyright © 2020 the Author(s). Published by Wolters Kluwer Health, Inc. 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 4.0 (CCBY-NC), where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc/4.0 |
spellingShingle | 3900 Zhao, Yong Feng, Shun Yi Li, Yong Serum anion gap at admission as a predictor of the survival of patients with paraquat poisoning: A retrospective analysis |
title | Serum anion gap at admission as a predictor of the survival of patients with paraquat poisoning: A retrospective analysis |
title_full | Serum anion gap at admission as a predictor of the survival of patients with paraquat poisoning: A retrospective analysis |
title_fullStr | Serum anion gap at admission as a predictor of the survival of patients with paraquat poisoning: A retrospective analysis |
title_full_unstemmed | Serum anion gap at admission as a predictor of the survival of patients with paraquat poisoning: A retrospective analysis |
title_short | Serum anion gap at admission as a predictor of the survival of patients with paraquat poisoning: A retrospective analysis |
title_sort | serum anion gap at admission as a predictor of the survival of patients with paraquat poisoning: a retrospective analysis |
topic | 3900 |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7402740/ https://www.ncbi.nlm.nih.gov/pubmed/32756123 http://dx.doi.org/10.1097/MD.0000000000021351 |
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