Evidence map›Paper›PMID 42483645›Full record

ArticleFrontiers in nutrition2026

Combined nutritional and inflammatory risk stratification for predicting functional outcomes in acute ischemic stroke.

Baozhi Jia, Rongrong Ma, Panpan Zhu, Rufang Zhang, Shijun Li, Zhuangzhuang Jiang

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Article in Frontiers in nutrition, 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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6 authors.

Baozhi JiaDepartment of Neurology, Tianxiang East Hospital, Yiwu, China.
Rongrong MaDepartment of Neurology, Tianxiang East Hospital, Yiwu, China.
Panpan ZhuDepartment of Neurology, Tianxiang East Hospital, Yiwu, China.
Rufang ZhangDepartment of Neurology, Tianxiang East Hospital, Yiwu, China.
Shijun LiDepartment of Neurology, Affiliated Dongyang Hospital of Wenzhou Medical University, Dongyang, China.
Zhuangzhuang JiangDepartment of Neurology, Affiliated Dongyang Hospital of Wenzhou Medical University, Dongyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Inflammation and malnutrition are both closely associated with adverse outcomes after acute ischemic stroke (AIS), yet their combined effect and potential interaction remain insufficiently understood. This study aimed to evaluate the prognostic value of combined nutritional and inflammatory risk stratification based on nutritional risk screening-2002 (NRS-2002) and neutrophil-to-lymphocyte ratio (NLR), and to explore whether inflammatory burden mediates the relationship between nutritional status and functional outcomes. Methods: We retrospectively analyzed 1,167 consecutive patients with AIS admitted within 48 h of symptom onset. Nutritional status was assessed using NRS-2002, and inflammatory status was evaluated using admission NLR. Patients were categorized into four groups: low-Risk, inflammatory-risk, nutritional-risk, and dual-risk. The primary outcome was poor functional outcome at 3 months (modified Rankin Scale ≥3). Multivariable logistic regression models were used to examine associations. Predictive performance was evaluated using AUC, NRI, and IDI. Mediation analysis was conducted using NLR area under the curve (NLR-AUC) to assess the indirect effect of inflammation. Results: Compared with the low-risk group, the inflammatory-risk, nutritional-risk, and dual-risk groups were all independently associated with increased risk of poor functional outcomes (all Conclusions: Combined assessment of nutritional and inflammatory status provides meaningful risk stratification for functional outcomes in AIS. Malnutrition and systemic inflammation exert a synergistic effect on post-stroke prognosis, while inflammation may partially mediate this relationship but is not independent of key clinical factors.

Indexed as

acute ischemic strokeinflammationmalnutritionprognosisrisk stratification

Identifiers

PMID42483645
PMCPMC13385485

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