Evidence map›Paper›PMID 42836557›Full record

ArticleImmunity, inflammation and disease2026

Nonlinear Correlation Between Prognostic Nutritional Index and Disease Activity of Rheumatoid Arthritis: A Cross-Sectional Study.

Lina Leng, Quanyi Tang, Ying Li, Jinfeng Zhang, Yaorong Han, Xiaoli Li

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Article in Immunity, inflammation and disease, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1 citing paper in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Lina LengDepartment of Rheumatology, Xingtai People's Hospital, Xingtai, China.ORCID https://orcid.org/0000-0003-0278-8535
Quanyi TangDepartment of Internal Medicine, Graduate School of Hebei Medical University, Shijiazhuang, China.
Ying LiDepartment of Oncology, 82 Group Hospital of Chinese People's Liberation Army, Baoding, China.ORCID https://orcid.org/0009-0000-3268-6463
Jinfeng ZhangDepartment of Rheumatology, Xingtai People's Hospital, Xingtai, China.
Yaorong HanDepartment of Rheumatology, Xingtai People's Hospital, Xingtai, China.
Xiaoli LiDepartment of Rheumatology, Xingtai People's Hospital, Xingtai, China.ORCID https://orcid.org/0000-0002-7919-8691

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe prognostic nutritional index (PNI) is a composite marker reflecting the nutritional and inflammatory status. Its association with disease activity in rheumatoid arthritis (RA) remains incompletely understood. This study aimed to investigate the relationship between PNI and RA disease activity.

methodsA total of 984 RA patients were enrolled and stratified into three groups according to PNI tertiles. Univariate analysis and linear regression models were performed to evaluate the association between PNI and disease activity scores (DAS28-ESR/DAS28-CRP). A two stage (segmented) linear regression model was used to identify potential inflection points in the relationship.

resultsUnivariate analysis showed that PNI was significantly negatively correlated with both DAS28-ESR (β = -0.043, p < 0.001) and DAS28-CRP (β = -0.045, p < 0.001). After adjusting for demographic characteristics, inflammatory markers, and therapeutic drugs, this negative correlation remained significant in the fully adjusted model (DAS28-ESR: β = -0.034, p < 0.001; DAS28-CRP: β = -0.044, p < 0.001). Segmented regression identified a non-linear relationship with an inflection point at approximately 45.0. Below this threshold, the negative association was markedly stronger (DAS28-ESR: β = -0.073; DAS28-CRP: β = -0.069). Above the inflection point, the association weakened and became non-significant for DAS28-ESR (β = -0.012, p > 0.05), while for DAS28-CRP it remained significant but attenuated (β = -0.020, p < 0.05).

conclusionPNI is independently negatively associated with RA disease activity, with a notably stronger effect when PNI is below 45. PNI may serve as a simple and effective biomarker for assessing inflammation and nutritional status in RA patients, and may help identify patients with greater nutritional-inflammatory burden.

Indexed as

Arthritis, RheumatoidNutritional StatusNutrition AssessmentAdultAgedBiomarkersC-Reactive ProteinCross-Sectional StudiesFemaleHumansMaleMiddle AgedPrognosisSeverity of Illness IndexBiomarkersC-Reactive Proteincross‐sectional studydisease activity levelinflammationnutritional statusprognostic nutritional indexrheumatoid arthritis

Identifiers

PMID42836557
PMCPMC13640532

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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 OpenQuestion graph.