Evidence map›Paper›PMID 42238772›Full record

ArticleJournal of inflammation research2026

Lactate-Modified Prognostic Nutritional Index (LPNI) and Its Association with ICU Mortality in Patients with Sepsis: A Retrospective Cohort Study.

Xiaoqing Li, Shuyuan Qian, Hui Chen, Xueyan Yuan, Xinyu Xia, Xiaohui Gao, Guanjie Chen

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Article in Journal of inflammation 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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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Xiaoqing LiJiangsu Provincial Key Laboratory of Critical Care Medicine, Zhongda Hospital, Southeast University, Nanjing, Jiangsu, 210009, People's Republic of China.
Shuyuan QianJiangsu Provincial Key Laboratory of Critical Care Medicine, Zhongda Hospital, Southeast University, Nanjing, Jiangsu, 210009, People's Republic of China.
Hui ChenJiangsu Provincial Key Laboratory of Critical Care Medicine, Zhongda Hospital, Southeast University, Nanjing, Jiangsu, 210009, People's Republic of China.
Xueyan YuanJiangsu Provincial Key Laboratory of Critical Care Medicine, Zhongda Hospital, Southeast University, Nanjing, Jiangsu, 210009, People's Republic of China.
Xinyu XiaJiangsu Provincial Key Laboratory of Critical Care Medicine, Zhongda Hospital, Southeast University, Nanjing, Jiangsu, 210009, People's Republic of China.
Xiaohui GaoJiangsu Provincial Key Laboratory of Critical Care Medicine, Zhongda Hospital, Southeast University, Nanjing, Jiangsu, 210009, People's Republic of China.
Guanjie ChenJiangsu Provincial Key Laboratory of Critical Care Medicine, Zhongda Hospital, Southeast University, Nanjing, Jiangsu, 210009, People's Republic of China.ORCID 0000-0001-5946-6452

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Systemic inflammation and the resulting hypercatabolism in sepsis critically drive malnutrition and metabolic dysregulation, significantly worsening clinical outcomes. However, existing nutritional assessment tools are not sepsis-specific, and their comparative prognostic performance in this population remains unclear. This study aimed to compare current tools and develop a novel, sepsis-specific biomarker that integrates inflammatory, nutritional, and metabolic dimensions to optimise risk stratification. Methods: In this retrospective cohort study, data from 1915 sepsis patients admitted to a tertiary ICU between January 2021 and May 2025 were analysed. Nutritional risk was assessed using the modified nutrition risk in critically ill (mNUTRIC) score, prognostic nutritional index (PNI), nutritional risk index (NRI), and controlling nutritional status (CONUT) score. Prognostic performance for ICU mortality was evaluated using receiver operating characteristic (ROC) curves, Kaplan-Meier survival analysis, and Cox regression. Leveraging machine learning (LASSO regression), key variables were screened to modify the PNI, resulting in the development of the Lactate-Modified Prognostic Nutritional Index (LPNI). Results: Among conventional indices, mNUTRIC demonstrated the highest prognostic accuracy (AUC = 0.725, 95% CI 0.699-0.751), followed by PNI (AUC = 0.687, 95% CI 0.660-0.713). The novel LPNI, superior discriminative ability (AUC = 0.754, 95% CI 0.729-0.780) and served as a robust independent risk factor for ICU mortality in the total cohort (HR = 3.25, 95% CI 2.36-4.48, Conclusion: The LPNI is an objective composite biomarker that integrates inflammatory, nutritional, and metabolic dimensions. It is independently associated with ICU mortality in sepsis patients, including those with or without septic shock. A newly developed online calculator based on the LPNI is provided to facilitate its potential bedside application; however, further prospective validation of its clinical utility is warranted.

Indexed as

biomarkerinflammatory-metabolic-nutritional phenotypelactate-modified prognostic nutritional indexrisk stratificationsepsissystemic inflammation

Identifiers

PMID42238772
PMCPMC13227541

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.