Evidence map›Paper›PMID 42394928›Full record

ArticleFrontiers in neurology

Dynamic inflammatory markers as predictors of 90-day outcomes in spontaneous intracerebral hemorrhage.

Huiying Huang, Weijun Wang, Qing Ma, Kun Cao

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Article in Frontiers in neurology. 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

Authors and funding

4 authors.

Huiying Huang *Department of Neurology, People's Hospital of Leshan, Leshan, Sichuan, China.
Weijun Wang *Department of Neurology, North Sichuan Medical College, Nanchong, Sichuan, China.
Qing MaDepartment of Neurology, People's Hospital of Leshan, Leshan, Sichuan, China.
Kun CaoDepartment of Neurology, People's Hospital of Daying County, Suining, Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To investigate the time-dependent characteristics of composite inflammatory biomarkers in patients with spontaneous intracerebral hemorrhage (ICH), and to evaluate the associations of their dynamic changes with 90-day functional outcomes and mortality. Methods: This single-center retrospective study consecutively enrolled 230 patients with spontaneous ICH admitted between 2021 and 2024. Peripheral blood samples were collected within 24 h after admission (T1) and on day 7 after onset (T2). The neutrophil-to-lymphocyte ratio (NLR), systemic immune-inflammation index (SII), systemic inflammation response index (SIRI), and inflammation prognostic index (IPI) were calculated at both time points. Dynamic changes from T1 to T2 were assessed using fold change (FC = T2/T1) and relative percentage change, defined as c1-2 = (T2 - T1) / T1 × 100%, equivalent to (FC - 1) × 100%. Functional outcomes at 90 days were assessed using the modified Rankin Scale, with favorable outcome defined as mRS 0-2 and unfavorable outcome defined as mRS 3-6. Mortality was defined as mRS 6. Logistic regression and receiver operating characteristic curve analyses were performed. Results: Levels of NLR, SII, SIRI, and IPI at T2 were higher in patients with unfavorable outcomes and in non-survivors than in patients with favorable outcomes and survivors, respectively. Dynamic changes from T1 to T2, assessed using FC and c1-2, were also more pronounced in patients with unfavorable outcomes and in non-survivors. Multivariate analysis showed that T2 levels and c1-2 indicators were significantly associated with 90-day unfavorable functional outcomes. For mortality, T2 indices showed more consistent independent associations than T1 indices, and most dynamic change indicators remained significant after adjustment. ROC analysis indicated that T2 indices and dynamic change indicators generally had better predictive performance than T1 indices. Conclusion: Composite inflammatory biomarkers in patients with spontaneous ICH exhibit a time-dependent pattern in prognostic evaluation. Compared with baseline measurements alone, day-7 inflammatory levels and their dynamic changes from T1 to T2 show more stable associations with 90-day unfavorable functional outcomes and mortality, and may provide useful complementary information for clinical risk stratification.

Indexed as

composite inflammatory biomarkersdynamic changesfunctional outcomeprognostic assessmentspontaneous intracerebral hemorrhage

Identifiers

PMID42394928
PMCPMC13322834

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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.