The PaO2/FiO2 is independently associated with 28-day mortality in patients with sepsis: a retrospective analysis from MIMIC-IV database

Author:

Bi Hongying,Liu Xu,Chen Chi,Chen Lu,Liu Xian,Zhong Jianmin,Tang Yan

Abstract

Abstract Background To clarify the relationship between the PaO2/FiO2 and 28-day mortality in patients with sepsis. Methods This was a retrospective cohort study regarding MIMIC-IV database. Nineteen thousand two hundred thirty-three patients with sepsis were included in the final analysis. PaO2/FiO2 was exposure variable, 28-day mortality was outcome variable. PaO2/FiO2 was log-transformed as LnPaO2/FiO2. Binary logistic regression was used to explore the independent effects of LnPaO2/FiO2 on 28-day mortality using non-adjusted and multivariate-adjusted models. A generalized additive model (GAM) and smoothed curve fitting was used to investigate the non-linear relationship between LnPaO2/FiO2 and 28-day mortality. A two-piecewise linear model was used to calculate the OR and 95% CI on either side of the inflection point. Results The relationship between LnPaO2/FiO2 and risk of 28-day death in sepsis patients was U-shape. The inflection point of LnPaO2/FiO2 was 5.30 (95%CI: 5.21—5.39), which indicated the inflection point of PaO2/FiO2 was 200.33 mmHg (95%CI: 183.09 mmHg—219.20 mmHg). On the left of inflection point, LnPaO2/FiO2 was negatively correlated with 28-day mortality (OR: 0.37, 95%CI: 0.32—0.43, p < 0.0001). On the right of inflection point, LnPaO2/FiO2 was positively correlated with 28-day mortality in patients with sepsis (OR: 1.53, 95%CI: 1.31—1.80, p < 0.0001). Conclusions In patients with sepsis, either a high or low PaO2/FiO2 was associated with an increased risk of 28-day mortality. In the range of 183.09 mmHg to 219.20 mmHg, PaO2/FiO2 was associated with a lower risk of 28-day death in patients with sepsis.

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Guizhou Provincial Science and Technology Projects

Special Fund of Wu Jieping Medical Foundation for Clinical Scientific Research

Publisher

Springer Science and Business Media LLC

Subject

Pulmonary and Respiratory Medicine

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Prediction of sepsis mortality in ICU patients using machine learning methods;BMC Medical Informatics and Decision Making;2024-08-16

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