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TRUVACE RECORD VERSION
record: TRV-2026-0846
version: 1
kind: certified
reason: Certified into the record
timestamp: 2026-08-22T06:03:14.023087Z
status: published
lens: p_space
sector: health
headline: EXPRESS: Relation between Albumin-Corrected Anion Gap and In-Hospital Mortality in Patients with Traumatic Lung Injury: A Multicenter Retrospective Cohort Study and the Development of Machine Learning-Based Prediction Models
dek: Background The anion gap is primarily utilized as an indicator for evaluating acid-base imbalances in critically ill patients. However, its accuracy is reduced in such patients due to low albumin levels. The albumin-corrected anion gap (ACAG) enhances the accuracy of assessing acid-base imbalances. Individuals with traumatic lung injury (TLI) in the intensive care unit (ICU) often have severe metabolic acidosis and hypoalbuminemia. Nevertheless, the association of ACAG with the prognosis of patients with TLI is…
gain_title: (none)
problem_title: EXPRESS: Relation between Albumin-Corrected Anion Gap and In-Hospital Mortality in Patients with Traumatic Lung Injury: A Multicenter Retrospective Cohort Study and the Development of Machine Learning-Based Prediction Models: Elevated ACAG was substantially linked to a high risk of mortality in individuals with TLI (hazard ratio (HR) [95% confidence interval (CI)] = 1.115 [1.037-1.199]).
trace_subject: (none)
gain_reading: (none)
gain_evidence: (none)
problem_reading: EXPRESS: Relation between Albumin-Corrected Anion Gap and In-Hospital Mortality in Patients with Traumatic Lung Injury: A Multicenter Retrospective Cohort Study and the Development of Machine Learning-Based Prediction Models: Elevated ACAG was substantially linked to a high risk of mortality in individuals with TLI (hazard ratio (HR) [95% confidence interval (CI)] = 1.115 [1.037-1.199]).
problem_evidence: (none)
quick_read: Background The anion gap is primarily utilized as an indicator for evaluating acid-base imbalances in critically ill patients. However, its accuracy is reduced in such patients due to low albumin levels.

Data from the MIMIC-IV database were utilized as the training set to develop machine learning-based models. The Boruta algorithm was adopted for the selection of feature variables.
limitation: 
tag: Evidence-backed problem
key_points: Background The anion gap is primarily utilized as an indicator for evaluating acid-base imbalances in critically ill patients. | However, its accuracy is reduced in such patients due to low albumin levels. | The albumin-corrected anion gap (ACAG) enhances the accuracy of assessing acid-base imbalances.
rundown: Background The anion gap is primarily utilized as an indicator for evaluating acid-base imbalances in critically ill patients. However, its accuracy is reduced in such patients due to low albumin levels.

The albumin-corrected anion gap (ACAG) enhances the accuracy of assessing acid-base imbalances. Individuals with traumatic lung injury (TLI) in the intensive care unit (ICU) often have severe metabolic acidosis and hypoalbuminemia.
sources:
- peer_reviewed | Journal of Investigative Medicine | https://doi.org/10.1177/10815589261483651 | 2026-08-21
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