Open access Journal
Characteristic of the neutrophil-to-lymphocyte ratio (NLR) in patients with chronic low back pain
Proceedings Academic Universitas Jambi · Vol. 1 No. 2 (2025) · pp. 994–1000
- Published
- 2025-11-30
- Publisher
- LPPM Universitas Jambi
- Language
- en
Abstract
Background: Chronic low back pain (LBP) constitutes a worldwide public health issue that substantially impacts a considerable segment of the adult demographic. The Neutrophil-to-Lymphocyte Ratio (NLR) is recognized as a significant inflammatory biomarker for multiple health conditions, including musculoskeletal disorders like low back pain (LBP). Objective: The assessment of NLR in patients with LBP has aimed to identify a potential biomarker for elucidating the mechanisms underlying inflammation and chronic pain. Methods: This research is a cross-sectional analytical study. All samples in this study underwent a complete blood cell count examination. The neutrophil-to-lymphocyte ratio is calculated by dividing the neutrophil count by the lymphocyte count in routine blood test results. Statistical tests were conducted using SPSS software. Results: This study involved 31 participants. The analysis of the NLR indicated that 77.4% of participants were categorized as moderate, whereas 22.6% were classified as high. Furthermore, 18 individuals (58.06%) reported experiencing moderate pain (NPRS 4-6), while 13 individuals (41.94%) indicated severe pain (NPRS 7-10). Conclusion: This study found 77.4% of subjects had moderate NLR. Despite moderate to severe pain, their systemic inflammatory response had not fully established, as shown by a lack of NLR increase.
Keywords
Collaboration network of the authors
40 authors · 224 co-authorship links · showing the 40 most connected
Hover or tap a name to highlight its co-authors. Double-click to open the author's page.
- Affiliation unknown
- Different organisations
- Same organisation
- Affiliation unknown
- Thicker line = more joint articles · bigger circle = more articles
Show as table
| Co-author | Organisation | Joint articles |
|---|---|---|
| Huntari Harahap | Affiliation unknown | 7 |
| Wahyu Indah Dewi Aurora | Affiliation unknown | 6 |
| Kamariyah | Affiliation unknown | 4 |
| Tia Wida Ekaputri | Affiliation unknown | 4 |
| Hasna Dewi | Affiliation unknown | 4 |
| Esa Indah Ayudia | Affiliation unknown | 4 |
| Denok Tri Hardiningsih | Affiliation unknown | 4 |
| Raihanah Suzan | Affiliation unknown | 4 |
| Mirna Marhami Iskandar | Affiliation unknown | 3 |
| Fitriyanti Fitriyanti | Affiliation unknown | 3 |
| Lipinwati Lipinwati | Affiliation unknown | 3 |
| Fairuz | Affiliation unknown | 3 |
| Niken Irfa Nastiti | Affiliation unknown | 3 |
| Armaidi Darmawan | Affiliation unknown | 3 |
| Tengku Arief Buana Perkasa | Affiliation unknown | 3 |
| Hafizah | Affiliation unknown | 3 |
| Putri Sari Wulandari | Affiliation unknown | 3 |
| Humaryanto | Affiliation unknown | 2 |
| Yuliawati | Affiliation unknown | 2 |
| Andika Sulistiawan | Affiliation unknown | 2 |
| Rina Nofri Enis | Affiliation unknown | 2 |
| Miftahurrahmah | Affiliation unknown | 2 |
| Tia Wida Ekaputri Hz | Affiliation unknown | 2 |
| Rita Halim | Affiliation unknown | 2 |
| Budi Aswin | Affiliation unknown | 2 |
| Hanina Hanina | Affiliation unknown | 2 |
| Elisma Elisma | Affiliation unknown | 1 |
| guspianto guspianto | Affiliation unknown | 1 |
| Vinna Rahayu Ningsih | Affiliation unknown | 1 |
| Andi Amir | Affiliation unknown | 1 |
| Fathnur Sani Kasmadi | Affiliation unknown | 1 |
| Fitrianingsih | Affiliation unknown | 1 |
| Andy Amir | Affiliation unknown | 1 |
| Vinna Rahayu Ningsih | Affiliation unknown | 1 |
| Guspianto | Affiliation unknown | 1 |
Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.