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Neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio in retinal artery occlusion: a meta-analysis

  • Retinal Disorders
  • Published:
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Abstract

Purpose

The goal of this meta-analysis is to examine the association between Neutrophil-to-Lymphocyte Ratio (NLR) and Platelet-to-Lymphocyte Ratio (PLR) in patients with Retinal Artery Occlusion (RAO). The analysis aims to provide insight into the potential of NLR and PLR as inflammatory biomarkers for RAO.

Methods

Following PRISMA guidelines, a systematic search in PubMed, Embase, and Scopus identified eight eligible studies. The analysis assessed serum NLR and PLR levels in RAO and non-RAO groups by employing standardized mean differences (SMDs). Sensitivity analyses and publication bias were examined. The diagnostic performance of these markers was evaluated with a quantitative synthesis.

Results

The meta-analysis, involving 1,444 participants, demonstrated significantly elevated NLR (SMD = 0.88, 95% CI: 0.49–1.28, P < 0.001) and PLR (SMD = 0.45, 95% CI: 0.16–0.73, P < 0.001) levels in individuals with RAO. Significant heterogeneity was noted. Sensitivity analysis showed robustness and no significant publication bias was found. Summary results of diagnostic performance revealed promising discriminatory power for NLR and PLR.

Conclusions

The results support a possible connection between systemic inflammation, as indicated by NLR and PLR, and the occurrence of RAO. Although there was heterogeneity, sensitivity analyses showed the findings to be robust. While immediate diagnostic applications are limited, understanding the role of NLR and PLR in the pathological process of RAO provides valuable insights for developing future predictive models, risk management approaches, and treatment strategies. Further research exploring mechanistic insights and conducting prospective studies is warranted to validate their clinical utility.

Key messages

What is known

  • Retinal artery occlusion (RAO) is a serious condition with potential links to systemic inflammation and thrombosis.

  • Neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) are emerging inflammatory markers.

What is new

  • This is the first meta-analysis examining the association between NLR, PLR and RAO.

  • Elevated NLR and PLR levels were observed in patients with RAO compared to controls.

  • NLR and PLR show potential as indicators of systemic inflammation in RAO pathogenesis.

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Data availability

The authors confirm that the data supporting the findings of this study are available within the article and its supplementary materials.

References

  1. Flaxel CJ et al (2020) Retinal and ophthalmic artery occlusions preferred practice pattern®. Ophthalmology 127(2):P259–P287

    Article  PubMed  Google Scholar 

  2. Brown GC, Magargal LE (1982) Central retinal artery obstruction and visual acuity. Ophthalmology 89(1):14–19

    Article  CAS  PubMed  Google Scholar 

  3. Hwang DD et al (2023) Incidence of retinal artery occlusion and related mortality in Korea, 2005 to 2018. JAMA Netw Open 6(3):e233068

    Article  PubMed  Google Scholar 

  4. Brown GC (1994) Retinal arterial obstructive disease. Retina 2:1361–1377

    Google Scholar 

  5. Park SJ et al (2014) Nationwide incidence of clinically diagnosed central retinal artery occlusion in Korea, 2008 to 2011. Ophthalmology 121(10):1933–1938

    Article  PubMed  Google Scholar 

  6. Hayreh SS, Podhajsky PA, Zimmerman MB (2009) Retinal artery occlusion: associated systemic and ophthalmic abnormalities. Ophthalmology 116(10):1928–1936

    Article  PubMed  Google Scholar 

  7. Callizo J et al (2015) Cardiovascular risk factors in central retinal artery occlusion: results of a prospective and standardized medical examination. Ophthalmology 122(9):1881–1888

    Article  PubMed  Google Scholar 

  8. Jauch EC et al (2013) Guidelines for the early management of patients with acute ischemic stroke: a guideline for healthcare professionals from the American heart association/American stroke association. Stroke 44(3):870–947

    Article  PubMed  Google Scholar 

  9. Rudkin AK et al (2010) Clinical characteristics and outcome of current standard management of central retinal artery occlusion. Clin Exp Ophthalmol 38(5):496–501

    Article  PubMed  Google Scholar 

  10. Ørskov M et al (2022) Clinical risk factors for retinal artery occlusions: a nationwide case-control study. Int Ophthalmol 42(8):2483–2491

    Article  PubMed  Google Scholar 

  11. Elbeyli A et al (2022) Assessment of red cell distribution width, platelet/lymphocyte ratio, systemic immune-inflammation index, and neutrophil/lymphocyte ratio values in patients with central retinal artery occlusion. Ocul Immunol Inflamm 30(7–8):1940–1944

    Article  CAS  PubMed  Google Scholar 

  12. Djordjevic D et al (2018) Neutrophil-to-lymphocyte ratio, monocyte-to-lymphocyte ratio, platelet-to-lymphocyte ratio, and mean platelet volume-to-platelet count ratio as biomarkers in critically ill and injured patients: which ratio to choose to predict outcome and nature of bacteremia? Mediators Inflamm 2018:3758068

    Article  PubMed  PubMed Central  Google Scholar 

  13. Fois AG et al (2020) The systemic inflammation index on admission predicts in-hospital mortality in COVID-19 patients. Molecules 25(23):5725

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  14. Ng WW et al (2022) NLR, MLR, PLR and RDW to predict outcome and differentiate between viral and bacterial pneumonia in the intensive care unit. Sci Rep 12(1):15974

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  15. Urbanowicz T et al (2021) The prognostic significance of neutrophil to lymphocyte ratio (NLR), monocyte to lymphocyte ratio (MLR) and platelet to lymphocyte ratio (PLR) on long-term survival in off-pump coronary artery bypass grafting (OPCAB) procedures. Biology (Basel) 11(1):34

    PubMed  Google Scholar 

  16. Bhat T et al (2013) Neutrophil to lymphocyte ratio and cardiovascular diseases: a review. Expert Rev Cardiovasc Ther 11(1):55–59

    Article  CAS  PubMed  Google Scholar 

  17. Duman TT et al (2019) Neutrophil to lymphocyte ratio as an indicative of diabetic control level in type 2 diabetes mellitus. Afr Health Sci 19(1):1602–1606

    Article  PubMed  PubMed Central  Google Scholar 

  18. Howard R, Kanetsky PA, Egan KM (2019) Exploring the prognostic value of the neutrophil-to-lymphocyte ratio in cancer. Sci Rep 9(1):19673

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  19. Ozgonul C et al (2016) Neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio as novel biomarkers of primary open-angle glaucoma. J Glaucoma 25(10):e815–e820

    Article  PubMed  Google Scholar 

  20. Ulu SM et al (2013) Neutrophil-to-lymphocyte ratio as a quick and reliable predictive marker to diagnose the severity of diabetic retinopathy. Diabetes Technol Ther 15(11):942–947

    Article  CAS  PubMed  Google Scholar 

  21. Obata S et al (2023) Blood neutrophil-to-lymphocyte ratio as a risk factor in treatment for retinopathy of prematurity. Graefes Arch Clin Exp Ophthalmol 261(4):951–957

    Article  CAS  PubMed  Google Scholar 

  22. Atum M, Alagöz G (2020) Neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio in patients with retinal artery occlusion. J Ophthalmic Vis Res 15(2):195–200

    PubMed  PubMed Central  Google Scholar 

  23. Chen T et al (2023) Sex differences in major adverse cardiovascular and cerebrovascular event risk among central retinal artery occlusion patients. Sci Rep 13(1):14930

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  24. Dursun ME et al (2023) Evaluation of plasma inflammatory markers in patients with nonarteritic retinal artery occlusion. Ret Vit 32(2):91–96

    Article  Google Scholar 

  25. Guven S, Kilic D (2021) Neutrophil to lymphocyte ratio (NLR) is a better tool rather than monocyte to high-density lipoprotein ratio (MHR) and platelet to lymphocyte ratio (PLR) in central retinal artery occlusions. Ocul Immunol Inflamm 29(5):997–1001

    Article  CAS  PubMed  Google Scholar 

  26. Pinna A et al (2021) Complete blood cell count measures in retinal artey occlusions. Acta Ophthalmol 99(6):637–643

    Article  CAS  PubMed  Google Scholar 

  27. Qin G et al (2022) Neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR) are more prominent in retinal artery occlusion (RAO) compared to retinal vein occlusion (RVO). PLoS ONE 17(2 February):e0263587

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  28. Zhang Y, Xing Z, Deng A (2023) Unveiling the predictive capacity of inflammatory and platelet markers for central retinal artery occlusion. Thromb Res 232:108–112

    Article  CAS  PubMed  Google Scholar 

  29. Grory BM et al (2021) Management of central retinal artery occlusion: a scientific statement from the American heart association. Stroke 52(6):e282–e294

    CAS  Google Scholar 

  30. Moher D et al (2009) Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. PLoS Med 6(7):e1000097

    Article  PubMed  PubMed Central  Google Scholar 

  31. Liberati A et al (2009) The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: explanation and elaboration. PLoS Med 6(7):e1000100

    Article  PubMed  PubMed Central  Google Scholar 

  32. Wells G, Shea B, O’Connell D et al (2000) Ottawa Hospital Research Institute, Ottawa. The Newcastle–Ottawa scale (NOS) for assessing the quality of non-randomized studies in meta-analysis. www.ohri.ca/programs/clinicalepidemiology/oxford.asp. Accessed 31 Jan 2024

  33. Herzog R et al (2013) Are healthcare workers’ intentions to vaccinate related to their knowledge, beliefs and attitudes? A systematic review. BMC Public Health 13:154

    Article  PubMed  PubMed Central  Google Scholar 

  34. Shi J et al (2023) Detecting the skewness of data from the five-number summary and its application in meta-analysis. Stat Methods Med Res 32(7):1338–1360

    Article  PubMed  Google Scholar 

  35. Higgins JP, Li T, Deeks JJ (2019) Choosing effect measures and computing estimates of effect. In: Higgins JPT, Thomas J, Chandler J, Cumpston M, Li T, Page MJ, Welch VA (eds) Cochrane handbook for systematic reviews of interventions. https://doi.org/10.1002/9781119536604.ch6

  36. Luo D et al (2018) Optimally estimating the sample mean from the sample size, median, mid-range, and/or mid-quartile range. Stat Methods Med Res 27(6):1785–1805

    Article  PubMed  Google Scholar 

  37. Wan X et al (2014) Estimating the sample mean and standard deviation from the sample size, median, range and/or interquartile range. BMC Med Res Methodol 14:135

    Article  PubMed  PubMed Central  Google Scholar 

  38. Altman D et al (2001) eds 2000: statistics with confidence, 2nd edn. BMJ Books, London, pp 240 + diskette,£ 19.95 (PB). ISBN 0 7279 1375 1. Citeseer

  39. Borenstein M et al (2010) A basic introduction to fixed-effect and random-effects models for meta-analysis. Res Synth Methods 1(2):97–111

    Article  PubMed  Google Scholar 

  40. Egger M et al (1997) Bias in meta-analysis detected by a simple, graphical test. BMJ 315(7109):629–634

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  41. Duval S, Tweedie R (2000) Trim and fill: a simple funnel-plot-based method of testing and adjusting for publication bias in meta-analysis. Biometrics 56(2):455–463

    Article  CAS  PubMed  Google Scholar 

  42. Libby P, Hansson GK (2019) From focal lipid storage to systemic inflammation: JACC review topic of the week. J Am Coll Cardiol 74(12):1594–1607

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  43. Jiang H et al (2017) Neutrophil-to-lymphocyte ratio correlates with severity of extracranial carotid stenosis-a study using digital subtraction angiography. J Stroke Cerebrovasc Dis 26(6):1182–1190

    Article  PubMed  Google Scholar 

  44. Massberg S et al (2003) Activated platelets trigger an inflammatory response and enhance migration of aortic smooth muscle cells. Thromb Res 110(4):187–194

    Article  CAS  PubMed  Google Scholar 

  45. Hayreh SS, Piegors DJ, Heistad DD (1997) Serotonin-induced constriction of ocular arteries in atherosclerotic monkeys. Implications for ischemic disorders of the retina and optic nerve head. Arch Ophthalmol 115(2):220–8

    Article  CAS  PubMed  Google Scholar 

  46. Núñez J et al (2009) Relationship between low lymphocyte count and major cardiac events in patients with acute chest pain, a non-diagnostic electrocardiogram and normal troponin levels. Atherosclerosis 206(1):251–257

    Article  PubMed  Google Scholar 

  47. Soop A et al (2013) Effect of lipopolysaccharide administration on the number, phenotype and content of nuclear molecules in blood microparticles of normal human subjects. Scand J Immunol 78(2):205–213

    Article  CAS  PubMed  Google Scholar 

  48. Gu HF, Tang CK, Yang YZ (2012) Psychological stress, immune response, and atherosclerosis. Atherosclerosis 223(1):69–77

    Article  CAS  PubMed  Google Scholar 

  49. Yang Y et al (2020) Predictive efficacy of neutrophil-to-lymphocyte ratio for long-term prognosis in new onset acute coronary syndrome: a retrospective cohort study. BMC Cardiovasc Disord 20(1):500

    Article  PubMed  PubMed Central  Google Scholar 

  50. Balta S, Ozturk C (2015) The platelet-lymphocyte ratio: a simple, inexpensive and rapid prognostic marker for cardiovascular events. Platelets 26(7):680–681

    Article  CAS  PubMed  Google Scholar 

  51. Ferroni P et al (2015) Venous thromboembolism risk prediction in ambulatory cancer patients: clinical significance of neutrophil/lymphocyte ratio and platelet/lymphocyte ratio. Int J Cancer 136(5):1234–1240

    Article  CAS  PubMed  Google Scholar 

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Funding

No funding was received for conducting this study.

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Authors and Affiliations

Authors

Contributions

Shu-Han Chuang: Data Curation, Formal Analysis, Investigation, Methodology, Software, Validation, Visualization, Writing – Original Draft Preparation.

Cheng-Hsien Chang: Conceptualization, Investigation, Methodology, Project Administration, Resources, Supervision, Validation, Writing – Review & Editing.

Corresponding author

Correspondence to Cheng-Hsien Chang.

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The study received ethical approval from our institutional review board (IRB number: 240118).

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Shu-Han Chuang contributed as the first author.

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Chuang, SH., Chang, CH. Neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio in retinal artery occlusion: a meta-analysis. Graefes Arch Clin Exp Ophthalmol (2024). https://doi.org/10.1007/s00417-024-06594-8

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  • DOI: https://doi.org/10.1007/s00417-024-06594-8

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