Evidence map›Paper›PMID 42396134›Full record

ArticleFrontiers in medicine2026

Prognostic value of the aggregate index of systemic inflammation and controlling nutritional status score for all-cause mortality in patients undergoing maintenance hemodialysis: a retrospective cohort study.

Haitao Bai, Shuang Cheng, Dan Lv, Yilan Liang, Wenli 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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4 · The record

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5 · Who and what money

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5 authors.

Haitao Bai *Department of Nephrology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Shuang Cheng *Department of Nephrology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Dan LvDepartment of Nephrology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Yilan LiangDepartment of Nephrology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Wenli ChenDepartment of Clinical Nutrition, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study investigated the prognostic relevance of the Controlling Nutritional Status (CONUT) score and the Aggregate Index of Systemic Inflammation (AISI) for predicting all-cause mortality (ACM) in patients undergoing maintenance hemodialysis (MHD). Furthermore, the study aimed to identify independent prognostic indicators to aid clinical risk categorization and tailored therapeutic interventions. Methods: A retrospective cohort study was performed with a follow-up duration of 5 years. Extensive demographic data and clinical laboratory results were gathered, and patients were followed until December 2024, with ACM set as the principal endpoint. The predictive capabilities of the CONUT score and AISI for ACM among MHD patients were evaluated by receiver operating characteristic (ROC) curve analysis. Survival outcomes were depicted through Kaplan-Meier curves, and Cox proportional hazards regression was utilized to ascertain significant prognostic factors for five-year ACM. Results: In total, 614 patients on MHD were enrolled. ROC analysis yielded areas under the curve (AUC) of 0.704 for the CONUT score and 0.694 for AISI, with optimal threshold values identified at 3.5 and 306.100, respectively. Patients exhibiting AISI below 306.100 had markedly better cumulative survival rates ( Conclusion: Both AISI and the CONUT score provide significant prognostic information for predicting ACM in patients undergoing MHD. Their combined use constitutes a robust, accessible tool for identifying high-risk individuals in this population.

Indexed as

aggregate index of systemic inflammationall-cause mortalitycohort studycontrolling nutritional status scoremaintenance hemodialysispredictive factors

Identifiers

PMID42396134
PMCPMC13322865

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