Evidence map›Paper›PMID 41419965›Full record

ArticleEuropean journal of medical research2025

Systemic inflammatory response index: a novel predictor for cardiovascular disease risk in patients with primary biliary cholangitis.

Yanyan Li, Na Zhu, Xin Li

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Article in European journal of medical research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers 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

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Yanyan Li *Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, No. 2 Anzhen Road, Beijing, 100029, China.
Na Zhu *National Center for Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, No. 8 Jingshun East Street, Beijing, 100015, China.
Xin LiNational Center for Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, No. 8 Jingshun East Street, Beijing, 100015, China. leaxin@ccmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveCardiovascular disease (CVD) is a significant concern in patients with primary biliary cholangitis (PBC) due to the combined effects of immune dysregulation and chronic inflammation. Traditional biomarkers may have limited predictive value for CVD in this population. This study aims to investigate the relationship between inflammatory biomarkers and CVD in patients with PBC.

methodsPatients with PBC who were treated at Beijing Ditan Hospital between January 2018 and December 2022 were included. Multivariate logistic regression models were performed to investigate the association between systemic inflammatory response index (SIRI), systemic immune inflammatory index (SII), neutrophil-to-lymphocyte ratio (NLR), and monocyte-to-lymphocyte ratio (MLR) and CVD. The predictive value of inflammatory biomarkers for CVD was evaluated using receiver operating characteristic (ROC) curves. In addition, a restricted cubic spline (RCS) fitted with a logistic regression model was used to analyze the relationship between SIRI and CVD.

resultsThe prevalence of CVD in patients with PBC was 16.9% (n = 71). Multivariate logistic regression analysis showed that SIRI was an independent risk factor for CVD prevalence. Each standard deviation increase in SIRI was associated with a 79.2% increased risk of CVD (OR = 1.792, 95%CI = 1.348-2.382, P < 0.001). SIRI demonstrated moderate predictive ability for CVD, with an area under the curve (AUC) of 0.725. However, it was superior to NLR (AUC = 0.626), MLR (AUC = 0.579) and SII (AUC = 0.599). Subgroup analysis showed that the association between SIRI and CVD risk was robust with respect to gender, body mass index, smoking, drinking, hypertension, and diabetes mellitus, except for older age and cirrhosis status. The RCS analysis showed a stable linear relationship between SIRI and CVD, with significantly increased odds of CVD for SIRI values > 0.65.

conclusionSIRI is a promising inflammatory biomarker and is independently associated with CVD prevalence in patients with PBC. Clinicians may consider incorporating SIRI into clinical practice to better stratify CVD risk and guide preventive strategies in this vulnerable population.

Indexed as

Cardiovascular DiseasesLiver Cirrhosis, BiliaryAgedBiomarkersFemaleHumansInflammationLymphocytesMaleMiddle AgedNeutrophilsRisk FactorsROC CurveBiomarkersCardiovascular diseaseInflammationPrevalencePrimary biliary cholangitisSystemic inflammatory response index

Identifiers

PMID41419965
PMCPMC12717740

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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.