ArticleFrontiers in neurology2022
Plasma anion gap and risk of in-hospital mortality in patients with spontaneous subarachnoid hemorrhage.
Article in Frontiers in neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Article
- 101 machine learning algorithms for predicting mortality in critically ill patients with spinal cord injury and sarcopenia: a multi-database study.BMC medical informatics and decision making · 2026Observational
- Group-based trajectory modeling of anion gap and mortality in patients with sepsis: a retrospective analysis of the MIMIC-IV database.European journal of medical research · 2025Article
- Serum anion gap and its interaction with diabetes in predicting mortality among critically ill patients with non-traumatic intracerebral hemorrhage.European journal of medical research · 2025Article
- The association between anion gap and length of stay in patients undergoing hip fracture surgery: data from the MIMIC-IV database.BMC musculoskeletal disorders · 2024Article
- Unveiling the hidden risks: albumin-corrected anion gap as a superior marker for cardiovascular mortality in type 2 diabetes: insights from a nationally prospective cohort study.Frontiers in endocrinology · 2024Article
- A prognostic model incorporating the albumin-corrected anion gap in patients with aneurysmal subarachnoid hemorrhage.Frontiers in neurology · 2024Article
- Association between albumin corrected anion gap and all-cause mortality in critically ill patients with acute kidney injury: a retrospective study based on MIMIC-IV database.Renal failure · 2023Article
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Authors and funding
5 authors.
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Abstract
Background: The association between the serum anion gap (AG) and prognosis of patients with spontaneous subarachnoid hemorrhage (SAH) remains unknown. Thus, this study aimed to explore the association between AG levels and mortality in patients with SAH in the intensive care unit (ICU). Methods: This was a retrospective analysis of data stored in the Medical Information Mart for Intensive Care-IV and eICU Collaborative Research databases. Critically ill patients diagnosed with spontaneous SAH were included. The primary outcome measure was in-hospital all-cause mortality. A multivariate Cox proportional hazards regression model and a restricted cubic spline were used to evaluate the relationship between AG concentration and outcomes. Kaplan-Meier curves were used to compare cumulative survival among patients with AG levels. Results: A total of 1,114 patients were enrolled. AG concentration was significantly associated with in-hospital all-cause mortality [hazard ratio ([HR], 1.076 (95% confidence interval (CI), 1.021-1.292; Conclusions: In-hospital and ICU mortalities increase with increasing AG concentration in patients with SAH. An increased serum AG level is an independent, significant, and robust predictor of all-cause mortality. Thus, serum AG levels may be used in the risk stratification of SAH.
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