Evidence map›Paper›PMID 41286892›Full record

ArticlePediatric rheumatology online journal2025

Neutrophil lymphocyte ratio as a marker of skin disease activity in older children with juvenile dermatomyositis.

Shreya Swaminathan, Nidhi Naik, Susan Shenoi, Sarah Vandenbergen, Jessica L Turnier, Zilan Zheng, Jessica Neely, James S Andrews, Christian Lood

Abstract read
In one paragraph

Article in Pediatric rheumatology online journal, 2025. 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

9 authors.

Shreya SwaminathanSidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, USA.
Nidhi NaikSeattle Children's Hospital and Research Center, University of WA, Seattle, WA, USA.
Susan ShenoiSeattle Children's Hospital and Research Center, University of WA, Seattle, WA, USA.
Sarah VandenbergenUniversity of Michigan, Ann Arbor, MI, USA.
Jessica L TurnierUniversity of Michigan, Ann Arbor, MI, USA.
Zilan ZhengUniversity of California San Francisco, San Francisco, CA, USA.
Jessica NeelyUniversity of California San Francisco, San Francisco, CA, USA.
James S AndrewsUniversity of Alabama at Birmingham, Birmingham, AL, USA.
Christian LoodDivision of Rheumatology, University of Washington, 750 Republican Street, Box 358060, Seattle, WA, 98109, USA. Loodc@uw.edu.

Funding

Harnessing cutaneous transcriptional and myeloid cell signatures to understand treatment response in juvenile dermatomyositisK23AR080789 · NIAMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Jessica Leigh Turnier · 2023 to 2026
$693k
NIAMS NIH HHS K23 AR080789NIH NIAMS K23AR080789
6 · The paper itself

Abstract

backgroundNeutrophils contribute to the pathogenesis of many autoimmune diseases. While the neutrophil to lymphocyte ratio (NLR) is associated with disease activity in adult dermatomyositis, its clinical utility in juvenile dermatomyositis (JDM) is unknown.

methodsDemographic, medication use, autoantibody profile, disease activity markers, and laboratory data from 97 JDM patients was collected using retrospective chart review. Patients were age-stratified (0–9 vs. 9–21 years of age), as white blood cell count stabilizes at 9 years. The relationships between NLR with JDM disease activity measures were analyzed using spearman’s correlation.

resultsPatients were primarily white (56.7%) and female (71.1%). Older children had lower physician global assessment (PGA) (2.0 vs. 4.0, p = 0.015) and lymphocyte count (1700 vs. 2320, p = 0.01), and higher manual muscle testing (MMT-8) (80 vs. 73, p < 0.001) and childhood myositis assessment score (CMAS) (49 vs. 45, p = 0.012). Cutaneous dermatomyositis disease area and severity index (CDASI) (r = 0.39, p = 0.007) and PGA skin (r = 0.52, p = 0.004) were associated with NLR in older children, independent on prednisone use. In younger children, skin involvement was negatively associated with NLR (r=-0.41, p = 0.024). No associations with muscle activity, including CMAS (r = 0.021, p = 0.91 vs. r = 0.25, p = 0.22), CK levels (r = 0.23, p = 0.11 vs. r=-0.041, p = 0.79), and MMT-8 (r = 0.152, p = 0.31 vs. r=-0.132, p = 0.377) were seen in older or younger children respectively.

conclusionsAge-related variability in lymphocytes may complicate the interpretation and assessment of NLR in young children. NLR may serve as a cutaneous disease activity marker in older JDM patients. Larger multi-center cohorts are necessary to validate these findings and assess the role of treatment on NLR.

Indexed as

DermatomyositisLymphocytesNeutrophilsAdolescentAge FactorsBiomarkersChildChild, PreschoolFemaleHumansInfantLymphocyte CountMaleRetrospective StudiesSeverity of Illness IndexYoung AdultBiomarkersJuvenile dermatomyositisNeutrophil to lymphocyte ratioPhysician global assessment

Identifiers

PMID41286892
PMCPMC12642178

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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.