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Nomogram for predicting the prognosis of tumor patients with sepsis after gastrointestinal surgery

BACKGROUND: There were few studies on the prognosis of tumor patients with sepsis after gastrointestinal surgery and there was no relevant nomogram for predicting the prognosis of these patients. AIM: To establish a nomogram for predicting the prognosis of tumor patients with sepsis after gastrointe...

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Autores principales: Chen, Ren-Xiong, Wu, Zhou-Qiao, Li, Zi-Yu, Wang, Hong-Zhi, Ji, Jia-Fu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Baishideng Publishing Group Inc 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9516642/
https://www.ncbi.nlm.nih.gov/pubmed/36187403
http://dx.doi.org/10.4251/wjgo.v14.i9.1771
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author Chen, Ren-Xiong
Wu, Zhou-Qiao
Li, Zi-Yu
Wang, Hong-Zhi
Ji, Jia-Fu
author_facet Chen, Ren-Xiong
Wu, Zhou-Qiao
Li, Zi-Yu
Wang, Hong-Zhi
Ji, Jia-Fu
author_sort Chen, Ren-Xiong
collection PubMed
description BACKGROUND: There were few studies on the prognosis of tumor patients with sepsis after gastrointestinal surgery and there was no relevant nomogram for predicting the prognosis of these patients. AIM: To establish a nomogram for predicting the prognosis of tumor patients with sepsis after gastrointestinal surgery in the intensive care unit (ICU). METHODS: A total of 303 septic patients after gastrointestinal tumor surgery admitted to the ICU at Peking University Cancer Hospital from January 1, 2013 to December 31, 2020 were analysed retrospectively. The model for predicting the prognosis of septic patients was established by the R software package. RESULTS: The most common infection site of sepsis after gastrointestinal surgery in the ICU was abdominal infection. The 90-d all-cause mortality rate was 10.2% in our study group. In multiple analyses, we found that there were statistically significant differences in tumor type, septic shock, the number of lymphocytes after ICU admission, serum creatinine and total operation times among tumor patients with sepsis after gastrointestinal surgery (P < 0.05). These five variables could be used to establish a nomogram for predicting the prognosis of these septic patients. The nomogram was verified, and the initial C-index was 0.861. After 1000 internal validations of the model, the C-index was 0.876, and the discrimination was good. The correction curve indicated that the actual value was in good agreement with the predicted value. CONCLUSION: The nomogram based on these five factors (tumor type, septic shock, number of lymphocytes, serum creatinine, and total operation times) could accurately predict the prognosis of tumor patients with sepsis after gastrointestinal surgery.
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spelling pubmed-95166422022-09-29 Nomogram for predicting the prognosis of tumor patients with sepsis after gastrointestinal surgery Chen, Ren-Xiong Wu, Zhou-Qiao Li, Zi-Yu Wang, Hong-Zhi Ji, Jia-Fu World J Gastrointest Oncol Retrospective Study BACKGROUND: There were few studies on the prognosis of tumor patients with sepsis after gastrointestinal surgery and there was no relevant nomogram for predicting the prognosis of these patients. AIM: To establish a nomogram for predicting the prognosis of tumor patients with sepsis after gastrointestinal surgery in the intensive care unit (ICU). METHODS: A total of 303 septic patients after gastrointestinal tumor surgery admitted to the ICU at Peking University Cancer Hospital from January 1, 2013 to December 31, 2020 were analysed retrospectively. The model for predicting the prognosis of septic patients was established by the R software package. RESULTS: The most common infection site of sepsis after gastrointestinal surgery in the ICU was abdominal infection. The 90-d all-cause mortality rate was 10.2% in our study group. In multiple analyses, we found that there were statistically significant differences in tumor type, septic shock, the number of lymphocytes after ICU admission, serum creatinine and total operation times among tumor patients with sepsis after gastrointestinal surgery (P < 0.05). These five variables could be used to establish a nomogram for predicting the prognosis of these septic patients. The nomogram was verified, and the initial C-index was 0.861. After 1000 internal validations of the model, the C-index was 0.876, and the discrimination was good. The correction curve indicated that the actual value was in good agreement with the predicted value. CONCLUSION: The nomogram based on these five factors (tumor type, septic shock, number of lymphocytes, serum creatinine, and total operation times) could accurately predict the prognosis of tumor patients with sepsis after gastrointestinal surgery. Baishideng Publishing Group Inc 2022-09-15 2022-09-15 /pmc/articles/PMC9516642/ /pubmed/36187403 http://dx.doi.org/10.4251/wjgo.v14.i9.1771 Text en ©The Author(s) 2022. Published by Baishideng Publishing Group Inc. All rights reserved. https://creativecommons.org/licenses/by-nc/4.0/This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
spellingShingle Retrospective Study
Chen, Ren-Xiong
Wu, Zhou-Qiao
Li, Zi-Yu
Wang, Hong-Zhi
Ji, Jia-Fu
Nomogram for predicting the prognosis of tumor patients with sepsis after gastrointestinal surgery
title Nomogram for predicting the prognosis of tumor patients with sepsis after gastrointestinal surgery
title_full Nomogram for predicting the prognosis of tumor patients with sepsis after gastrointestinal surgery
title_fullStr Nomogram for predicting the prognosis of tumor patients with sepsis after gastrointestinal surgery
title_full_unstemmed Nomogram for predicting the prognosis of tumor patients with sepsis after gastrointestinal surgery
title_short Nomogram for predicting the prognosis of tumor patients with sepsis after gastrointestinal surgery
title_sort nomogram for predicting the prognosis of tumor patients with sepsis after gastrointestinal surgery
topic Retrospective Study
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9516642/
https://www.ncbi.nlm.nih.gov/pubmed/36187403
http://dx.doi.org/10.4251/wjgo.v14.i9.1771
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