Serum albumin corrected anion gap levels are associated with poor prognosis in patients with acute ischemic stroke
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...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-05-01
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| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-00380-0 |
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| Summary: | 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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| ISSN: | 2045-2322 |