Comparison of base excess, lactate and pH predicting 72-h mortality of multiple trauma
Dublin Core
Title
Comparison of base excess, lactate and pH predicting 72-h mortality of multiple trauma
Subject
Blood gas analysis, Base excess, Lactate, pH, Multiple trauma, Mortality, Predictive value
Description
Objective: To compare the predictive values of base excess (BE), lactate and pH of admission arterial blood gas for
72-h mortality in patients with multiple trauma.
Methods: This was a secondary analysis based on a publicly shared trauma dataset from the Dryad database, which
provided the clinical data of 3669 multiple trauma patients with ISS > = 16. The records of BE, lactate, pH and 72-h
prognosis data without missing values were selected from this dataset and 2441 individuals were enrolled in the
study. Logistic regression model was performed to calculate the odds ratios (ORs) of variables. Area under the curve
(AUC) of receiver operating curve (ROC) was utilized to evaluate the predictive value of predictors for 72 h inhospital mortality. Pairwise comparison of AUCs was performed using the Delong’s test.
Results: The statistically significant correlations were observed between BE and lactate (r = − 0.5861, p < 0.05),
lactate and pH (r = − 0.5039, p < 0.05), and BE and pH (r = − 0.7433, p < 0.05). The adjusted ORs of BE, lactate and pH
for 72-h mortality with the adjustment for factors including gender, age, ISS category were 0.872 (95%CI: 0.854–
0.890), 1.353 (95%CI: 1.296–1.413) and 0.007 (95%CI: 0.003–0.016), respectively. The AUCs of BE, lactate and pH were
0.693 (95%CI: 0.675–0.712), 0.715 (95%CI: 0.697–0.733), 0.670 (95%CI: 0.651–0.689), respectively.
Conclusions: There are significant correlations between BE, lactate and pH of the admission blood gas, all of them
are independent predictors of 72-h mortality for multiple trauma. Lactate may have the best predictive value,
followed by BE, and finally pH.
72-h mortality in patients with multiple trauma.
Methods: This was a secondary analysis based on a publicly shared trauma dataset from the Dryad database, which
provided the clinical data of 3669 multiple trauma patients with ISS > = 16. The records of BE, lactate, pH and 72-h
prognosis data without missing values were selected from this dataset and 2441 individuals were enrolled in the
study. Logistic regression model was performed to calculate the odds ratios (ORs) of variables. Area under the curve
(AUC) of receiver operating curve (ROC) was utilized to evaluate the predictive value of predictors for 72 h inhospital mortality. Pairwise comparison of AUCs was performed using the Delong’s test.
Results: The statistically significant correlations were observed between BE and lactate (r = − 0.5861, p < 0.05),
lactate and pH (r = − 0.5039, p < 0.05), and BE and pH (r = − 0.7433, p < 0.05). The adjusted ORs of BE, lactate and pH
for 72-h mortality with the adjustment for factors including gender, age, ISS category were 0.872 (95%CI: 0.854–
0.890), 1.353 (95%CI: 1.296–1.413) and 0.007 (95%CI: 0.003–0.016), respectively. The AUCs of BE, lactate and pH were
0.693 (95%CI: 0.675–0.712), 0.715 (95%CI: 0.697–0.733), 0.670 (95%CI: 0.651–0.689), respectively.
Conclusions: There are significant correlations between BE, lactate and pH of the admission blood gas, all of them
are independent predictors of 72-h mortality for multiple trauma. Lactate may have the best predictive value,
followed by BE, and finally pH.
Creator
Junfang Qi, Long Bao, Peng Yang and Du Chen
Publisher
BMC Emergency Medicine
Date
(2021) 21:80
Contributor
Fajar bagus W
Format
PDF
Language
Indonesia
Type
Text
Files
Collection
Citation
Junfang Qi, Long Bao, Peng Yang and Du Chen, “Comparison of base excess, lactate and pH predicting 72-h mortality of multiple trauma,” Repository Horizon University Indonesia, accessed November 21, 2024, https://repository.horizon.ac.id/items/show/3784.