Evidence map›Paper›PMID 42158114›Full record

ArticleFrontiers in medicine2026

Clinical utility of the lactate-to-albumin ratio for predicting mortality in elderly severe acute pancreatitis.

Qingcheng Zhu, Yingtong Sun, Lingli Wu, Huihui Wang, Yueli Chen

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Article in Frontiers in medicine, 2026. 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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5 · Who and what money

Authors and funding

5 authors.

Qingcheng Zhu *Department of Emergency Medicine, Northern Jiangsu People's Hospital Affiliated to Yangzhou University, Yangzhou, China.
Yingtong Sun *Department of Emergency Medicine, Gaoyou People's Hospital, Gaoyou, China.
Lingli Wu *Department of Emergency Medicine, Northern Jiangsu People's Hospital Affiliated to Yangzhou University, Yangzhou, China.
Huihui WangDepartment of Emergency Medicine, Northern Jiangsu People's Hospital Affiliated to Yangzhou University, Yangzhou, China.
Yueli ChenDepartment of Emergency Medicine, Northern Jiangsu People's Hospital Affiliated to Yangzhou University, Yangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Elderly patients with severe acute pancreatitis (SAP) have high mortality, yet reliable early risk stratification tools remain limited. The lactate-to-albumin ratio (LAR) has emerged as a potential prognostic biomarker. This study aimed to evaluate the association between LAR and in-hospital mortality in elderly SAP patients. Methods: We retrospectively analyzed 313 patients aged ≥65 years with SAP admitted to the intensive care unit of a tertiary teaching hospital between 2016 and 2024. Demographic, clinical, and laboratory data were collected at admission. LAR was calculated from arterial lactate and serum albumin. Cox proportional hazards models were used to identify independent predictors of in-hospital mortality. Predictive performance of LAR was assessed using receiver operating characteristic (ROC) curves, Kaplan-Meier survival analysis, and threshold effect modeling. Results: Ninety-four (30.0%) patients died during hospitalization. Non-survivors had significantly higher LAR values than survivors. Multivariable Cox regression confirmed LAR as an independent predictor of all-cause in-hospital mortality (HR 1.50, 95% CI 1.27-1.78; Conclusion: LAR is an independent predictor of all-cause in-hospital mortality in elderly SAP patients, offering a simple and effective biomarker for early risk stratification and clinical decision-making in this high-risk population.

Indexed as

elderlylactate-to-albumin ratioLARmortalitysevere acute pancreatitis

Identifiers

PMID42158114
PMCPMC13180597

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