Low neutrophil-to-lymphocyte ratio identifies secondary polycythemia in patients with erythrocytosis

The neutrophil-to-lymphocyte ratio (NLR), a simple marker of systemic inflammation, may assist in differentiating polycythemia vera (PV) from secondary polycythemia (SP), especially when access to JAK2 mutation testing is limited due to cost or delayed turnaround. We retrospectively analyzed 655 patients with erythrocytosis who underwent JAK2 mutation testing between 2007 and 2024 across three South Korean tertiary hospitals. PV and SP were diagnosed per 2016 WHO criteria. NLR was calculated from complete blood counts and compared to serum erythropoietin (EPO) using receiver operating characteristic (ROC) analysis. The mean NLR was significantly higher in PV than SP (6.92 vs. 2.24, p < 0.001). NLR outperformed EPO in distinguishing PV (AUC 0.919 vs. 0.835, p < 0.001), and the combination further improved diagnostic accuracy (AUC 0.955). Notably, 98.8% (159/161) of patients with NLR < 1.5 had SP, suggesting these patients may safely undergo delayed JAK2 testing while secondary causes are prioritized. NLR may serve as a cost-effective triage marker to identify patients at low risk for PV, potentially reducing unnecessary molecular testing and expediting appropriate diagnostic pathways in erythrocytosis.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2025-11-26
DOI
https://doi.org/10.1038/s41598-025-26200-z
Primary Topic
Myeloproliferative Neoplasms: Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Low neutrophil-to-lymphocyte ratio identifies secondary polycythemia in patients with erythrocytosis

Seong Soon Kwon, Sang Byung Bae, Sun Young Jeong, Nam-Su Lee et al.
Scientific Reports
Myeloproliferative Neoplasms: Diagnosis and Treatment
article

Low neutrophil-to-lymphocyte ratio identifies secondary polycythemia in patients with erythrocytosis

Seong Soon Kwon, Sang Byung Bae, Sun Young Jeong, Nam-Su Lee, Kyoung Ha Kim, Sung Kyu Park, Jina Yun, Min Young Lee, Se Hyung Kim, Jong-Ho Won
article en

Abstract

The neutrophil-to-lymphocyte ratio (NLR), a simple marker of systemic inflammation, may assist in differentiating polycythemia vera (PV) from secondary polycythemia (SP), especially when access to JAK2 mutation testing is limited due to cost or delayed turnaround. We retrospectively analyzed 655 patients with erythrocytosis who underwent JAK2 mutation testing between 2007 and 2024 across three South Korean tertiary hospitals. PV and SP were diagnosed per 2016 WHO criteria. NLR was calculated from complete blood counts and compared to serum erythropoietin (EPO) using receiver operating characteristic (ROC) analysis. The mean NLR was significantly higher in PV than SP (6.92 vs. 2.24, p < 0.001). NLR outperformed EPO in distinguishing PV (AUC 0.919 vs. 0.835, p < 0.001), and the combination further improved diagnostic accuracy (AUC 0.955). Notably, 98.8% (159/161) of patients with NLR < 1.5 had SP, suggesting these patients may safely undergo delayed JAK2 testing while secondary causes are prioritized. NLR may serve as a cost-effective triage marker to identify patients at low risk for PV, potentially reducing unnecessary molecular testing and expediting appropriate diagnostic pathways in erythrocytosis.

Scientific ReportsVol. 15(1)
Soonchunhyang University (KR), Soonchunhyang University Hospital Seoul (KR), Bucheon University (KR)
Soonchunhyang University
Openalex Percentile: Top 47%
Myeloproliferative Neoplasms: Diagnosis and Treatment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.