Causal deep learning to personalize medicine: Which intensive care patients with sepsis will benefit from corticosteroid therapy?

Corticosteroid treatment responders were those with severe metabolic acidosis and impaired circulation, whereas patients who were less ill based on these parameters were more likely to have increased mortality rates by corticosteroid treatment. There was also a notable discrepancy between the model's suggestions and the physicians' treatment that was carried out, implying improvements in the clinical assessment of patients with sepsis are necessary. Given recent years have not yielded new treatments for sepsis, computational clinical decision-support systems are worth exploring.

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Publication Details

Journal
Journal of Intensive Medicine
Published
2025-09-24
DOI
https://doi.org/10.1016/j.jointm.2025.07.002
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
0.00
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article

Causal deep learning to personalize medicine: Which intensive care patients with sepsis will benefit from corticosteroid therapy?

Journal of Intensive Medicine
Geochemistry and Geologic Mapping
article

Causal deep learning to personalize medicine: Which intensive care patients with sepsis will benefit from corticosteroid therapy?

article en

Abstract

Corticosteroid treatment responders were those with severe metabolic acidosis and impaired circulation, whereas patients who were less ill based on these parameters were more likely to have increased mortality rates by corticosteroid treatment. There was also a notable discrepancy between the model's suggestions and the physicians' treatment that was carried out, implying improvements in the clinical assessment of patients with sepsis are necessary. Given recent years have not yielded new treatments for sepsis, computational clinical decision-support systems are worth exploring.

Journal of Intensive MedicineVol. 6(1)
Amsterdam University Medical Centers (NL), Kantonsspital Aarau (CH), Vrije Universiteit Amsterdam (NL)
Openalex Percentile: Top 29%
Geochemistry and Geologic Mapping
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