ArticleScientific reports2025
Serum albumin corrected anion gap levels are associated with poor prognosis in patients with acute ischemic stroke.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
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Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Association between stress hyperglycemia ratio and all-cause mortality among ICU patients with sepsis: a systematic review and meta-analysis.Frontiers in medicine · 2025Pooled it
- Association between albumin-corrected anion gap and in-hospital mortality in ICU patients with lung cancer: a retrospective cohort study based on the MIMIC database.Journal of thoracic disease · 2026Article
- Association of ACAG with short-term mortality in liver failure patients: a retrospective analysis based on the MIMIC-IV database.Scientific reports · 2026Article
- Association between albumin-corrected anion gap and 28-day mortality in critically ill patients with pneumonia in the intensive care unit: evidence from the medical information mart for intensive care IV database.BMC pulmonary medicine · 2026Observational
- Association of leuko-glycemic index with mortality in critically ill stroke patients: analysis from the MIMIC-IV database and an institutional cohort.Frontiers in medicine · 2026Article
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6 authors.
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Abstract
Acute ischemic stroke (AIS) remains a major cause of global morbidity and mortality. This study aimed to evaluate the role of albumin corrected anion gap (ACAG) as a prognostic marker for AIS patients. We analyzed data from 1014 AIS patients in the MIMIC-IV database, stratifying patients by ACAG levels. Using Cox proportional hazards models, restricted cubic splines, and Kaplan-Meier survival analysis, we assessed the relationship between ACAG and both 30-day and 365-day mortality. Our results show that elevated ACAG levels are significantly associated with higher mortality rates at both time points. The hazard ratios for 30-day and 365-day mortality were 1.07 (95% CI 1.04-1.11, P < 0.001) and 1.06 (95% CI 1.03-1.09, P < 0.001), respectively. Receiver operating characteristic (ROC) analysis showed that the area under the curve (AUC) of ACAG for predicting 30-day and 365-day mortality was 0.666 and 0.662, respectively. Subgroup analysis revealed significant interactions with gender and sepsis status. A nomogram incorporating ACAG and other key variables achieved AUCs of 0.748 and 0.765 for predicting 30-day and 365-day mortality, respectively. These findings indicate that elevated ACAG is an independent risk factor for both short-term and long-term mortality in AIS patients. Its incorporation into clinical practice may enhance the ability of clinicians to identify high-risk patients early, enabling timely and targeted interventions.
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