Presepsin values and prognostic nutritional index predict mortality in intensive care unit patients with sepsis: a pilot study

OBJECTIVE: Sepsis is a major cause of mortality for critically ill patients. This study aimed to determine whether presepsin values can predict mortality in patients with sepsis. RESULTS: Receiver operating characteristic (ROC) curve analysis, Log-rank test, and multivariate analysis identified pres...

Descripción completa

Detalles Bibliográficos
Autores principales: Shimoyama, Yuichiro, Umegaki, Osamu, Kadono, Noriko, Minami, Toshiaki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research Note
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8243529/
https://www.ncbi.nlm.nih.gov/pubmed/34193271
http://dx.doi.org/10.1186/s13104-021-05659-9
_version_ 1783715768254332928
author Shimoyama, Yuichiro
Umegaki, Osamu
Kadono, Noriko
Minami, Toshiaki
author_facet Shimoyama, Yuichiro
Umegaki, Osamu
Kadono, Noriko
Minami, Toshiaki
author_sort Shimoyama, Yuichiro
collection PubMed
description OBJECTIVE: Sepsis is a major cause of mortality for critically ill patients. This study aimed to determine whether presepsin values can predict mortality in patients with sepsis. RESULTS: Receiver operating characteristic (ROC) curve analysis, Log-rank test, and multivariate analysis identified presepsin values and Prognostic Nutritional Index as predictors of mortality in sepsis patients. Presepsin value on Day 1 was a predictor of early mortality, i.e., death within 7 days of ICU admission; ROC curve analysis revealed an AUC of 0.84, sensitivity of 89%, and specificity of 77%; and multivariate analysis showed an OR of 1.0007, with a 95%CI of 1.0001–1.0013 (p = 0.0320). SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13104-021-05659-9.
format Online
Article
Text
id pubmed-8243529
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-82435292021-06-30 Presepsin values and prognostic nutritional index predict mortality in intensive care unit patients with sepsis: a pilot study Shimoyama, Yuichiro Umegaki, Osamu Kadono, Noriko Minami, Toshiaki BMC Res Notes Research Note OBJECTIVE: Sepsis is a major cause of mortality for critically ill patients. This study aimed to determine whether presepsin values can predict mortality in patients with sepsis. RESULTS: Receiver operating characteristic (ROC) curve analysis, Log-rank test, and multivariate analysis identified presepsin values and Prognostic Nutritional Index as predictors of mortality in sepsis patients. Presepsin value on Day 1 was a predictor of early mortality, i.e., death within 7 days of ICU admission; ROC curve analysis revealed an AUC of 0.84, sensitivity of 89%, and specificity of 77%; and multivariate analysis showed an OR of 1.0007, with a 95%CI of 1.0001–1.0013 (p = 0.0320). SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13104-021-05659-9. BioMed Central 2021-06-30 /pmc/articles/PMC8243529/ /pubmed/34193271 http://dx.doi.org/10.1186/s13104-021-05659-9 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Note
Shimoyama, Yuichiro
Umegaki, Osamu
Kadono, Noriko
Minami, Toshiaki
Presepsin values and prognostic nutritional index predict mortality in intensive care unit patients with sepsis: a pilot study
title Presepsin values and prognostic nutritional index predict mortality in intensive care unit patients with sepsis: a pilot study
title_full Presepsin values and prognostic nutritional index predict mortality in intensive care unit patients with sepsis: a pilot study
title_fullStr Presepsin values and prognostic nutritional index predict mortality in intensive care unit patients with sepsis: a pilot study
title_full_unstemmed Presepsin values and prognostic nutritional index predict mortality in intensive care unit patients with sepsis: a pilot study
title_short Presepsin values and prognostic nutritional index predict mortality in intensive care unit patients with sepsis: a pilot study
title_sort presepsin values and prognostic nutritional index predict mortality in intensive care unit patients with sepsis: a pilot study
topic Research Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8243529/
https://www.ncbi.nlm.nih.gov/pubmed/34193271
http://dx.doi.org/10.1186/s13104-021-05659-9
work_keys_str_mv AT shimoyamayuichiro presepsinvaluesandprognosticnutritionalindexpredictmortalityinintensivecareunitpatientswithsepsisapilotstudy
AT umegakiosamu presepsinvaluesandprognosticnutritionalindexpredictmortalityinintensivecareunitpatientswithsepsisapilotstudy
AT kadononoriko presepsinvaluesandprognosticnutritionalindexpredictmortalityinintensivecareunitpatientswithsepsisapilotstudy
AT minamitoshiaki presepsinvaluesandprognosticnutritionalindexpredictmortalityinintensivecareunitpatientswithsepsisapilotstudy

Ejemplares similares