Evidence map›Paper›PMID 42630849›Full record

ArticleAmerican journal of translational research2026

Predictive value of endothelial activation and stress index for acute kidney injury in hospitalized patients with multiple myeloma.

Gang Wang, Yi Zhu, Xuefen Yan, Linjuan Xu, Jiaheng Wang, Jinle Liu, Li Yu

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Article in American journal of translational research, 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

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7 authors.

Gang WangDepartment of Hematology, Quzhou People's Hospital, The Quzhou Affiliated Hospital of Wenzhou Medical University Quzhou 324000, Zhejiang, China.
Yi ZhuJinhua Graduate Joint Training Base, Zhejiang Chinese Medical University Quzhou 324000, Zhejiang, China.
Xuefen YanDepartment of Rheumatology, Quzhou People's Hospital, The Quzhou Affiliated Hospital of Wenzhou Medical University Quzhou 324000, Zhejiang, China.
Linjuan XuDepartment of Hematology, Quzhou People's Hospital, The Quzhou Affiliated Hospital of Wenzhou Medical University Quzhou 324000, Zhejiang, China.
Jiaheng WangDepartment of Hematology, Quzhou People's Hospital, The Quzhou Affiliated Hospital of Wenzhou Medical University Quzhou 324000, Zhejiang, China.
Jinle LiuDepartment of Hematology, Quzhou People's Hospital, The Quzhou Affiliated Hospital of Wenzhou Medical University Quzhou 324000, Zhejiang, China.
Li YuDepartment of Pharmacy, The Second People's Hospital of Quzhou Quzhou 324022, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo investigate the predictive value of Endothelial Activation and Stress Index (EASIX) for acute kidney injury (AKI) in hospitalized patients with multiple myeloma (MM).

methodsThis retrospective study included 352 MM patients admitted to our hospital between January 2020 and December 2024. Patients were divided into a training set (n = 248) and a validation set (n = 104) using a time-based split. Patients were further classified into AKI (training n = 52, validation n = 22) and non-AKI groups (training n = 196, validation n = 82) according to occurrence of AKI during hospitalization. Factors associated with the development of AKI in MM patients were identified using logistic regression analysis. The predictive performance of EASIX for AKI was assessed by receiver operating characteristic (ROC) curve analysis.

resultsIn the training set, binary logistic regression analysis revealed that EASIX, International Staging System (ISS) stage, and bortezomib-lenalidomide-dexamethasone (VRD) chemotherapy regimen were independent factors influencing the development of AKI in MM patients during hospitalization (all

conclusionEASIX holds promise in predicting AKI in hospitalized MM patients, supporting its potential use in risk stratification and clinical decision-making.

Indexed as

acute kidney injuryEndothelial activation and stress indexmultiple myeloma

Identifiers

PMID42630849
PMCPMC13495642

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