Evidence mapPaperPMID 40844993Full record

ArticlePloS one2025

The association between Albumin-Corrected Anion Gap (ACAG) and the risk of acute kidney injury in patients with acute pancreatitis: A retrospective analysis based on the MIMIC-IV database.

Jiaxiang Bian, Xiaoyang Wang, Youli Chen, Guiyang Lu, Luanluan Zhang, Xiaoyan Tu, Shuling Wang, Weibin Huang, Cunrong Chen

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Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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9 authors.

Jiaxiang BianDepartment of Critical Care Medicine, Fujian Medical University Union Hospital, Fuzhou, Fujian, China.
Xiaoyang WangDepartment of Critical Care Medicine, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou Fujian, China.
Youli ChenDepartment of Critical Care Medicine, Quanzhou First Hospital Affiliated to Fujian Medical University, Quanzhou Fujian, China.
Guiyang LuDepartment of Critical Care Medicine, Fujian Medical University Union Hospital, Fuzhou, Fujian, China.
Luanluan ZhangDepartment of Emergency Intensive Care Unit, The First Affiliated Hospital of Zhengzhou University, Zhengzhou Henan, China.
Xiaoyan TuDepartment of Critical Care Medicine, Fujian Medical University Union Hospital, Fuzhou, Fujian, China.
Shuling WangDepartment of Critical Care Medicine, Fujian Medical University Union Hospital, Fuzhou, Fujian, China.
Weibin HuangDepartment of Critical Care Medicine, Fujian Medical University Union Hospital, Fuzhou, Fujian, China.
Cunrong ChenDepartment of Critical Care Medicine, Fujian Medical University Union Hospital, Fuzhou, Fujian, China.ORCID https://orcid.org/0009-0002-5258-1313

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6 · The paper itself

Abstract

purposeAcute kidney injury (AKI), a common and severe complication of acute pancreatitis (AP), is significantly linked to patient prognosis. Albumin-corrected anion gap (ACAG) is a modified acid-base balance assessment metric with potential clinical significance in various critical illnesses. However, the role of ACAG in forecasting the risk of AKI in AP patients remains unclear. This study sheds light on the relationship between ACAG levels and AKI risk in the AP population.

methodsThis retrospective study utilized data from the MIMIC-IV database, including 1,552 adult patients diagnosed with AP during their stay in the intensive care unit (ICU). ACAG was calculated using a standard formula, and patients were grouped according to their ACAG levels. Cox proportional hazards and restricted cubic spline (RCS) models were employed to assess the correlation of ACAG levels with AKI risk in AP patients. The incidence of AKI was the primary outcome, and in-hospital mortality was the secondary outcome. Differences in primary and secondary outcomes between ACAG groups were evaluated through Kaplan-Meier (KM) survival analysis. Subgroup analyses were performed for examining the influence of confounding factors.

resultsHigher ACAG levels were significantly related to an elevated risk of AKI. The RCS model demonstrated a nonlinear correlation between higher ACAG levels and increased AKI risk in the AP cohort, and a linear association of ACAG with in-hospital death. KM survival analysis showed that patients exhibiting higher ACAG levels had poorer renal function outcomes and higher ICU mortality. Subgroup analyses further proved this correlation across varied patient characteristics.

conclusionsElevated ACAG is an independent predictor of AKI risk in the AP cohort. ACAG may be useful for early AKI risk stratification and clinical decision-making in critically ill AP sufferers.

Indexed as

Acid-Base EquilibriumAcute Kidney InjuryPancreatitisAdultAgedDatabases, FactualFemaleHospital MortalityHumansIntensive Care UnitsMaleMiddle AgedPrognosisRetrospective StudiesRisk Factors

Identifiers

PMID40844993
PMCPMC12373200

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