Relationship between the sentiment of nursing notes and one-year mortality of elderly sepsis patients

L Li Sheng (Hefei Metrology and Testing Center) Q Qin Zheng

Abstract

Objectives This study aimed to explore the correlation between the sentiment of nursing notes and the one-year mortality of sepsis patients. Methods The box plot was used to compare the differences in sentiment polarity/sentiment subjectivity between different groups. Multivariate logistic regression was used to explore the correlation between sentiment polarity/sentiment subjectivity and one-year mortality of elderly sepsis patients. Ridge regression, XGBoost regression, and random forest were used to explore the importance of sentiment polarity and subjectivity in the one-year mortality of elderly sepsis patients. Restricted cubic spline (RCS) was used to explore whether there was a linear relationship between sentiment polarity, sentiment subjectivity and the one-year mortality of elderly sepsis patients. Kaplan-Meier (KM) curve was used to explore the relationship between the sentiment polarity (or sentiment subjectivity) and the 1-year death of the patient. Results Compared with the control group, the one-year mortality group year had lower sentiment polarity and higher sentiment subjectivity. Sentiment polarity and sentiment subjectivity were independently related to the one-year mortality of elderly sepsis patients. There was a linear relationship between sentiment polarity and the one-year mortality of elderly sepsis patients. At the same time, there was a nonlinear relationship between sentiment subjectivity and the one-year mortality of elderly sepsis patients.KM. Conclusions The sentiment of nursing notes was correlated with the one-year mortality of elderly sepsis patients.

Article Details

Journal PLoS ONE
Volume / Issue Vol. 20, Issue 5
Published May 16, 2025
Pages e0323686
ISSN 1932-6203
Publisher Public Library of Science

Journal Info

PLoS ONE

Public Library of Science

ISSN: 1932-6203 Open Access Health Sciences

Authors (2)

L

Li Sheng

Hefei Metrology and Testing Center

Q

Qin Zheng