Establishment and validation of a predictive model for mortality within 30 days in patients with sepsis-induced blood pressure drop: A retrospective analysis.
<h4>Objectives</h4>To establish and validate an individualized nomogram to predict the probability of death within 30 days in patients with sepsis-induced blood pressure drop would help clinical physicians to pay attention to those with higher risk of death after admission to wards.<h...
Main Authors: | Bin Wang, Jianping Chen |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2021-01-01
|
Series: | PLoS ONE |
Online Access: | https://doi.org/10.1371/journal.pone.0252009 |
Similar Items
-
An administrative model for benchmarking hospitals on their 30-day sepsis mortality
by: Jennifer L. Darby, et al.
Published: (2019-04-01) -
Development of a nomogram to predict 30-day mortality of patients with sepsis-associated encephalopathy: a retrospective cohort study
by: Yang Yang, et al.
Published: (2020-07-01) -
Higher glycemic variability within the first day of ICU admission is associated with increased 30-day mortality in ICU patients with sepsis
by: Wen-Cheng Chao, et al.
Published: (2020-02-01) -
Machine learning approach for the prediction of 30-day mortality in patients with sepsis-associated encephalopathy
by: Cheng, C., et al.
Published: (2022) -
Association between early serum cholinesterase activity and 30-day mortality in sepsis-3 patients: A retrospective cohort study.
by: Zheng-Liang Peng, et al.
Published: (2018-01-01)