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Platelet count predicts mortality in patients with sepsis: A retrospective observational study
Platelet count is a key component of sepsis severity score. However, the predictive value of the platelet count at admission for mortality in sepsis remains unclear. We designed a retrospective observational study of patients with sepsis admitted to our hospital from January 2017 to September 2021 t...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10519494/ https://www.ncbi.nlm.nih.gov/pubmed/37746944 http://dx.doi.org/10.1097/MD.0000000000035335 |
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author | Hua, Yusi Wang, Ruoran Yang, Jie Ou, Xiaofeng |
author_facet | Hua, Yusi Wang, Ruoran Yang, Jie Ou, Xiaofeng |
author_sort | Hua, Yusi |
collection | PubMed |
description | Platelet count is a key component of sepsis severity score. However, the predictive value of the platelet count at admission for mortality in sepsis remains unclear. We designed a retrospective observational study of patients with sepsis admitted to our hospital from January 2017 to September 2021 to explore the predictive value of platelet count at admission for mortality. A total of 290 patients with sepsis were included in this study. Multivariate logistic regression analysis was used to evaluate the risk factors for mortality and construct a predictive model with statistically significant factors. Compared with survivors, nonsurvivors tended to be much older and had significantly higher acute physiology and chronic health evaluation II and sequential organ failure assessment scores (P < .001). The platelet count was significantly lower in the nonsurvivor group than in the survivor group (P < .001). Multivariate logistic regression analysis indicated that age (P = .003), platelet count (P < .001) and lactate level (P = .018) were independent risk factors for mortality in patients with sepsis. Finally, the area under the receiver operating characteristic curve of platelet count predicting mortality in sepsis was 0.763 (95% confidence interval, 0.709–0.817, P < .001), with a sensitivity of 55.6% and a specificity of 91.8%. In our study, platelet count at admission as a single biomarker showed good predictability for mortality in patients with sepsis. |
format | Online Article Text |
id | pubmed-10519494 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-105194942023-09-26 Platelet count predicts mortality in patients with sepsis: A retrospective observational study Hua, Yusi Wang, Ruoran Yang, Jie Ou, Xiaofeng Medicine (Baltimore) 3900 Platelet count is a key component of sepsis severity score. However, the predictive value of the platelet count at admission for mortality in sepsis remains unclear. We designed a retrospective observational study of patients with sepsis admitted to our hospital from January 2017 to September 2021 to explore the predictive value of platelet count at admission for mortality. A total of 290 patients with sepsis were included in this study. Multivariate logistic regression analysis was used to evaluate the risk factors for mortality and construct a predictive model with statistically significant factors. Compared with survivors, nonsurvivors tended to be much older and had significantly higher acute physiology and chronic health evaluation II and sequential organ failure assessment scores (P < .001). The platelet count was significantly lower in the nonsurvivor group than in the survivor group (P < .001). Multivariate logistic regression analysis indicated that age (P = .003), platelet count (P < .001) and lactate level (P = .018) were independent risk factors for mortality in patients with sepsis. Finally, the area under the receiver operating characteristic curve of platelet count predicting mortality in sepsis was 0.763 (95% confidence interval, 0.709–0.817, P < .001), with a sensitivity of 55.6% and a specificity of 91.8%. In our study, platelet count at admission as a single biomarker showed good predictability for mortality in patients with sepsis. Lippincott Williams & Wilkins 2023-09-22 /pmc/articles/PMC10519494/ /pubmed/37746944 http://dx.doi.org/10.1097/MD.0000000000035335 Text en Copyright © 2023 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY) (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 | 3900 Hua, Yusi Wang, Ruoran Yang, Jie Ou, Xiaofeng Platelet count predicts mortality in patients with sepsis: A retrospective observational study |
title | Platelet count predicts mortality in patients with sepsis: A retrospective observational study |
title_full | Platelet count predicts mortality in patients with sepsis: A retrospective observational study |
title_fullStr | Platelet count predicts mortality in patients with sepsis: A retrospective observational study |
title_full_unstemmed | Platelet count predicts mortality in patients with sepsis: A retrospective observational study |
title_short | Platelet count predicts mortality in patients with sepsis: A retrospective observational study |
title_sort | platelet count predicts mortality in patients with sepsis: a retrospective observational study |
topic | 3900 |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10519494/ https://www.ncbi.nlm.nih.gov/pubmed/37746944 http://dx.doi.org/10.1097/MD.0000000000035335 |
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