Abstract
Background and Objectives: The neutrophil to lymphocyte ratio (NLR) and other full blood count indices have been used as a marker of inflammation in a variety of diseases. The aim of the current review is to summarize the existing knowledge on the use of these indices in retinal diseases. Materials and Methods: A systematic review of the literature was conducted to find eligible articles. The PUBMED and Scopus databases were systematically searched for relevant studies examining full blood count indices in retinal diseases. Results: The NLR was elevated in a number of vitreoretinal conditions, such as wet age-related macular degeneration (AMD), diabetic retinopathy and retinal vein occlusion, compared to controls. Full blood count indices could be useful in predicting the response to anti-VEG treatment in patients with wet AMD or diabetic macular edema (DME). Conclusions: The NLR and other indices can be used as diagnostic markers in retinal diseases and as prognostic factors of the response to treatment. The small sample size and short follow-up of the included studies and the variation in the measurement and cutoffs used for the NLR are limitations of its use in retinal conditions. Future studies need to further validate these findings and try to establish a link between these ratios and retinal phenotypes.
1. Introduction
Retinal disorders consist of a variety of conditions that affect the retina and could lead to a significant and irreversible loss of vision. Although this group of conditions is heterogenous, inflammation has been associated with a number of retinal diseases, such as age-related macular degeneration, diabetic retinopathy and retinal vein occlusion [1,2]. Systemic inflammation can be evaluated in routine blood tests that provide information about cell counts and their ratios. The neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR) and other full blood count-derived ratios are inexpensive and readily available means of evaluating inflammation and have been evaluated in cardiovascular, autoimmune and inflammatory diseases, as well as in cancer [3,4,5,6]. Recently, these ratios have been applied to retinal diseases in an effort to investigate whether they could be used as biomarkers in such conditions. They reflect subclinical inflammation, which is crucial in retinal pathologies. The advantages of these ratios are that they are inexpensive, readily available and reliable, while the disadvantages include the fact that they can be increased in a wide range of conditions and are influenced by factors such as emotional stress and trauma.
While full blood count indices are used in retinal conditions, there is no consensus on their use and cutoff values. Based on the above, the aim of this review is to summarize the key findings of the association of the NLR and other full blood count indices with retinal diseases.
2. Methods
The PUBMED and Scopus databases were systematically searched on 30 August 2024 by two authors (DK and GM) using the keywords “retina”, “complete blood count”, “full blood count” and “neutrophil to lymphocyte ratio”. Studies were excluded if they were (1) case reports, (2) conference papers or (3) animal studies. Articles and book chapters cited in the reference lists of articles obtained through this method were reviewed and included when considered appropriate. No language restrictions were set. Relevant information pertaining to the topic of this review was included.
3. Results
3.1. Diabetic Retinopathy
Diabetic retinopathy (DR) is a common microvascular complication of diabetes mellitus (DM) affecting the retinal vessels. Inflammation is believed to play a crucial role in the development and promotion of DR severity [7]. Multiple studies have shown a strong and consistent relationship between an elevated NLR and the presence of DR in diabetic patients [8,9,10,11]. A meta-analysis pooled the available data and found that the NLR was increased in patients with retinopathy compared to diabetic patients without retinopathy [12]. Furthermore, other full blood count-derived ratios and indices, such as the platelet to lymphocyte ratio (PLR), the mean platelet volume (MPV) and the platelet distribution width (PDW), were also elevated in patients with DR. Apart from the presence of retinopathy, increased values of the NLR have been associated with the severity of DR. Ulu et al. found that the NLR correlated with the severity of DR grades (r = 0.630, p < 0.001), while Huang et al. found that NLR values increased in parallel with the DR severity. In addition, Atli et al. concluded that NLR and PLR values were significantly higher in patients with proliferative DR compared to non-proliferative DR [13,14,15].
Diabetic macular edema (DME) is the leading cause of vision impairment in patients with DM and inflammation has been implicated in the pathogenesis of DME [16]. The NLR has been found not only to be associated with the presence of DME but also to predict the response to anti-VEGF treatment [17,18]. Hu et al. studied 91 treatment-naïve patients with DME, treated with intravitreal ranibizumab, and concluded that the pre-treatment NLR values correlated with the best corrected visual acuity (BCVA) at the end of the follow-up, indicating that a higher pre-treatment NLR may contribute to an inferior BCVA outcome [17]. Conversely, Vural et al. found that higher pre-treatment values of the NLR were associated with better BCVA in patients with DME treated with an intravitreal dexamethasone implant [18]. Interestingly, some studies tried to evaluate whether certain imaging characteristics correlated with NLR values. Zhou et al. found that the NLR, PLR and systemic immune–inflammation index (SII) correlated with the number of hyperreflective foci (HRF), while Dimitriou et al. found that patients with DME and HRF had increased white blood counts [19,20].
Based on the above, we can conclude that patients with DR have increased values of the NLR and that the NLR is associated with complications related to DR. Therefore, the NLR could be used to predict the treatment response or guide management decisions in patients with DME.
3.2. Age-Related Macular Degeneration
Age-related macular degeneration (AMD) is a cause of severe vision loss and blindness, particularly in developed countries [21]. Its pathogenesis is multifactorial, and genetic, metabolic and environmental factors have been linked to the development of AMD [22]. Recent studies have found that inflammation can play a key role in the development of both dry and wet age-related macular degeneration [23]. Dry age-related macular degeneration is characterized by the presence of drusen, while wet age-related macular degeneration is characterized by choroidal neovascularization (CNV). Local inflammation leads to drusenogenesis, retinal pigment epithelial (RPE) degeneration, the disruption of the Bruch’s membrane and the development of CNV [24].
Table 1 summarizes the key findings of studies examining the NLR and other complete blood count-derived indices in patients with AMD [25,26,27,28,29,30,31,32,33,34,35,36].
Table 1.
Summary of key findings of studies examining relationship between NLR and AMD.
The role of the NLR as a biomarker in AMD is dubious, as previous studies yielded contradictory results. Some found that the NLR values were higher in wet AMD patients compared to controls [25,28,31], while others did not find a significant change [27,29,32,34,36]. Interestingly, Hu et al. found that wet AMD patients had increased complete blood count indices compared to PCV patients [33]. Another noteworthy finding is that intravitreal aflibercept led to a reduction in the NLR post-treatment, while ranibizumab treatment also reduced the values, but this did not reach statistical significance [30]. Furthermore, Gökce et found that NLR values predicted the response to anti-VEGF treatment in patients with wet AMD, as the ROC analysis revealed that a cutoff value of 2.0 for the NLR could predict a change of at least 100 μm in the CMT with a sensitivity of 87.1% and a specificity of 87.8% and that a cutoff value of 2.4 for the NLR could predict a visual improvement of at least 0.1 logMAR with a sensitivity of 77.2% and a specificity of 64.8%, suggesting that the NLR could have a predictive role in treatment-naïve wet AMD patients [35].
3.3. Retinal Vein Occlusion
Retinal vein occlusion (RVO) is the second most common vascular disease after DR and a major cause of vision loss due to complications, such as macular edema and neovascularization [37]. It is divided into central retinal vein occlusion (CRVO) and branch retinal vein occlusion (BRVO) as per the site of the occlusion. The pathogenesis of RVO is multifactorial, and inflammation plays a crucial role in the development and clinical complications of the condition. RVO develops as the result of a combination of systemic changes, known as the Virchow’s triad, which include venous stasis, degenerative changes in the vessel wall and blood hypercoagulability [38]. Damage to the retinal vessel wall from atherosclerosis alters the rheological properties in the adjacent vein, contributing to the venous stasis and subsequent thrombosis. Several local and systemic inflammatory mediators, such as cytokines, are released secondary to the endothelial damage and have been found to be elevated in patients with RVO both in the aqueous humor and the vitreous [39,40]. The NLR has been used as a marker for both atherosclerosis and endothelial damage and an increasing number of studies have examined its use in RVO.
Table 2 summarizes the characteristics and key findings of studies exploring the use of full blood count-derived indices in RVO [41,42,43,44,45,46,47,48,49,50,51,52,53,54,55]. Not only were the NLR and other complete blood count indices increased in patients with RVO compared to controls, but they could be used as prognostic factors for anti-VEGF treatment in macular edema secondary to RVO and could be correlated with specific imaging characteristics and complications. Zhang et al. found that NLR values can predict the development of neovascular glaucoma (NVG) in patients with RVO [44]. Furthermore, NLR values were correlated with the mean visual field defects in patients that developed NVG. Chatziralli et al. studied 53 treatment-naïve patients with macular edema secondary to RVO and found that the monocyte to lymphocyte ratio (MLR) could predict a “favorable” response to anti-VEGF treatment [49]. Rao et al. also found that the pre-treatment PLR may be used as a predictive and prognostic tool for effective intravitreal injection treatment outcomes [54]. Kazantzis et al. found that higher NLR values were linked to subretinal fluid in spectral domain OCT (SD-OCT), while Timur et al. found that patients with RVO and subretinal detachment (SRD) in OCT imaging had an increased NLR and SII compared to patients without SRD [47,52]. Finally, Wang et al. concluded that NLR values were correlated with higher IL-6 levels and SII values were correlated with IL-6 and VEGF levels in the aqueous humor in patients with RVO [53].
Table 2.
Summary of key findings in studies that utilized NLR in patients with RVO.
3.4. Retinal Artery Occlusion
Retinal artery occlusion (RAO) is a serious ocular emergency that typically affects older individuals [56]. A RAO typically develops due to an embolus arising from atherosclerotic plaques in patients with carotid artery disease. Atherosclerosis is a chronic inflammatory disease affecting the vessel walls [57]. A number of studies have shown that the NLR is increased in patients with RAO compared to controls [58,59,60]. Interestingly, Elbeyli et al. found that the RDW might be a better predictor of RAO compared to the NLR and PLR [61], while Qin et al. concluded that NLR and PLR values are increased in patients with RAO compared to RVO [50].
3.5. Uveitis
Uveitis is a common intraocular inflammatory disease that can lead to permanent visual loss [62]. It is critical to fully investigate the etiology of the inflammation by acquiring the medical history, performing a physical examination and evaluating imaging and laboratory findings in order to classify and treat the intraocular inflammation promptly. Recent studies have speculated that intraocular inflammation might be reflected in complete blood count indices. Ozgonul et al. found an elevated NLR and PLR in patients with idiopathic acute anterior uveitis, a finding that was confirmed in patients who presented with anterior uveitis secondary to Bechet’s disease [63,64]. It is noteworthy that Lee et al. followed 114 patients with Behcet’s uveitis and found that high NLR and PLR values were correlated with a poor visual outcome [65]. Another interesting finding was that complete blood count indices could be used to differentiate between infectious and non-infectious uveitis as they tended to be higher in infectious uveitis [66].
3.6. Ischemic Optic Neuropathy
Ischemic optic neuropathies describe a group of diseases that affect the optic nerve and result in sudden vision loss. They include non-arteritic and arteritic ischemic optic neuropathy. Non-arteritic anterior ischemic optic neuropathy (NAION) is the most frequent form of acute optic neuropathy in individuals aged above 50 years, and local and systemic inflammation affect the pathogenesis of the condition by inducing hypercoagulability [67]. Arteritic ischemic optic neuropathy (AION) is a vision- and life-threatening condition that is caused by giant cell arteritis, a medium- and large-vessel vasculitis [68]. The erythrocyte sedimentation rate (ESR) and C reactive protein (CRP) are the subjects of two essential investigations in the diagnosis of AION, but a complete blood count is also obtained for patients with a suspicion of AION. Complete blood count indices have been found to be elevated in patients with both NAION and AION [69,70]. Inanc et al. investigated whether these indices could be used to differentiate between AION and NAION and found that NLR values were significantly higher in the AION group compared to patients diagnosed with NAION, an important finding that could be useful in a clinical setting [71].
3.7. Central Serous Retinopathy
Central serous retinopathy (CSR) is a retinal condition characterized by choroidal hyperpermeability, retinal pigment epithelium disruption and the accumulation of subretinal fluid [72]. Previous imaging studies have shown that the choroidal hyperpermeability might be secondary to stasis, ischemia or inflammation [73]. A few studies have evaluated inflammatory parameters in patients with CSR. In one study, the NLR values were not elevated in patients with CSR compared to controls, while another study found that the mean platelet volume was elevated in patients with CSR relative to controls [74,75]. Inflammatory molecules, such as chemokines, cytokines and adhesion molecules, are involved in the pathogenesis of CSR, but future research needs to shed light on their exact role in CSR and whether this process could be reflected in complete blood count tests [76].
3.8. Vitreomacular Disorders
Vitreomacular disorders, such as epiretinal membranes and macular holes, are common conditions that can lead to vision loss. An epiretinal membrane is a fibrocellular proliferation that develops on the surface of the internal limiting membrane. Histological evidence suggests that it includes glial cells, collagen, hyalocytes and fibroblasts and it develops idiopathically or secondary to inflammation or surgery [77]. NLR values were higher in patients with an idiopathic ERM compared to controls, suggesting that subclinical inflammation may accompany an ERM [78]. This finding was confirmed in patients with vitreomacular traction syndrome compared to controls, suggesting that low-grade inflammation as shown in complete count indices is involved in patients with VMTS [79]. Another important discovery was made by a recent study that evaluated 150 patients with a rhegmatogenous retinal detachment treated with a vitrectomy and 51 age- and sex-matched controls and concluded that NLR values could predict the development of proliferative vitreoretinopathy, a detrimental complication in which proliferative, contractile cellular membranes form in the vitreous and retina, resulting in tractional retinal detachment [80].
4. Conclusions
In this review, we tried to summarize the available information regarding the association between complete blood count indices and retinal pathologies. Neutrophils secrete various inflammatory mediators that participate in the pathogenesis of retinal disorders, such as DR, vascular occlusions and macular degeneration. Although there is no consensus on the ideal biomarkers derived from full blood counts, most studies employ the NLR and use different cutoffs to diagnose a wide range of retinal diseases that include diabetic retinopathy, age-related macular degeneration, retinal vein occlusion and central serous retinopathy. Practical considerations such as the laboratory assessment or the confounding effect of comorbidities that might exert influence on the full blood count indices must also be taken into consideration. Moreover, the NLR has been identified as a biomarker that predicts the response to anti-VEGF treatment in retinal conditions that require such treatment, a finding which could be particularly useful in a clinical setting. Limitations include the small sample size and short follow-up in the included studies and the variation in the measurement of the full blood count indices. Furthermore, we did not include a methodological quality assessment of the included studies. Future research should focus on the use of the NLR and other indices as a prognostic indicator in retinal disorders that require treatment and explore its use in predicting the different phenotypes of retinal conditions. Ideally, longitudinal studies on the integration of the NLR with imaging biomarkers and the response to treatment over time would clarify the associations between full blood count indices and imaging phenotypes and assist clinicians in their decision making.
Author Contributions
Conceptualization, D.K. and I.C.; methodology, D.K. and I.C.; software, D.K. and G.M.; validation, D.K., G.M. and I.C.; formal analysis, D.K. and G.M.; investigation, D.K., G.M. and I.C.; resources, D.K., G.M. and P.T.; data curation, D.K.; writing—original draft preparation, D.K. and P.T.; writing—review and editing, D.K., G.M. and P.T.; visualization, D.K., G.M. and P.T.; supervision, P.T. and I.C.; project administration, I.C. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Institutional Review Board Statement
Not applicable.
Informed Consent Statement
Not applicable.
Data Availability Statement
No new data were created or analyzed in this study.
Conflicts of Interest
The authors declare no conflicts of interest.
References
- Forrester, J.V.; Kuffova, L.; Delibegovic, M. The Role of Inflammation in Diabetic Retinopathy. Front. Immunol. 2020, 11, 583687. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
- Tan, W.; Zou, J.; Yoshida, S.; Jiang, B.; Zhou, Y. The Role of Inflammation in Age-Related Macular Degeneration. Int. J. Biol. Sci. 2020, 16, 2989–3001. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
- Bhat, T.; Teli, S.; Rijal, J.; Bhat, H.; Raza, M.; Khoueiry, G.; Meghani, M.; Akhtar, M.; Costantino, T. Neutrophil to lymphocyte ratio and cardiovascular diseases: A review. Expert Rev. Cardiovasc. Ther. 2013, 11, 55–59. [Google Scholar] [CrossRef] [PubMed]
- Erre, G.L.; Paliogiannis, P.; Castagna, F.; Mangoni, A.A.; Carru, C.; Passiu, G.; Zinellu, A. Meta-analysis of neutrophil-to-lymphocyte and platelet-to-lymphocyte ratio in rheumatoid arthritis. Eur. J. Clin. Investig. 2019, 49, e13037. [Google Scholar] [CrossRef] [PubMed]
- Fouad, S.H.; Allam, M.F.; Taha, S.I.; Okba, A.A.; Hosny, A.; Moneer, M.; Roman, S.W. Comparison of hemoglobin level and neutrophil to lymphocyte ratio as prognostic markers in patients with COVID-19. J. Int. Med. Res. 2021, 49, 3000605211030124. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
- Magdy, M.; Hussein, T.; Ezzat, A.; Gaballah, A. Pre-treatment Peripheral Neutrophil-Lymphocyte Ratio as a Prognostic Marker in Gastric Cancer. J. Gastrointest. Cancer 2019, 50, 763–768. [Google Scholar] [CrossRef] [PubMed]
- Yue, T.; Shi, Y.; Luo, S.; Weng, J.; Wu, Y.; Zheng, X. The role of inflammation in immune system of diabetic retinopathy: Molecular mechanisms, pathogenetic role and therapeutic implications. Front Immunol. 2022, 13, 1055087. [Google Scholar] [CrossRef] [PubMed]
- Öztürk, Z.A.; Kuyumcu, M.E.; Yesil, Y.; Savas, E.; Yıldız, H.; Kepekçi, Y.; Arıoğul, S. Is there a link between neutrophil-lymphocyte ratio and microvascular complications in geriatric diabetic patients? J. Endocrinol. Investig. 2013, 36, 593–599. [Google Scholar] [CrossRef] [PubMed]
- Wang, J.R.; Chen, Z.; Yang, K.; Yang, H.J.; Tao, W.Y.; Li, Y.P.; Jiang, Z.J.; Bai, C.F.; Yin, Y.C.; Duan, J.M.; et al. Association between neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, and diabetic retinopathy among diabetic patients without a related family history. Diabetol. Metab. Syndr. 2020, 12, 55. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
- Woo, S.J.; Ahn, S.J.; Ahn, J.; Park, K.H.; Lee, K. Elevated systemic neutrophil count in diabetic retinopathy and diabetes: A hospital-based cross-sectional study of 30,793 Korean subjects. Investig. Ophthalmol. Vis. Sci. 2011, 52, 7697–7703. [Google Scholar] [CrossRef] [PubMed]
- Mahajan, M.; Prasad, M.K.; Ashok, C.; Guria, R.T.; Marandi, S.; Vidyapati Subrat, S.; Chowdhury, A. The Correlation of the Neutrophil-to-Lymphocyte Ratio with Microvascular Complications in Patients with Diabetes Mellitus. Cureus 2023, 15, e44601. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
- Luo, W.J.; Zhang, W.F. The relationship of blood cell-associated inflammatory indices and diabetic retinopathy: A Meta-analysis and systematic review. Int. J. Ophthalmol. 2019, 12, 312–323. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
- Ulu, S.M.; Dogan, M.; Ahsen, A.; Altug, A.; Demir, K.; Acartürk, G.; Inan, S. Neutrophil-to-lymphocyte ratio as a quick and reliable predictive marker to diagnose the severity of diabetic retinopathy. Diabetes Technol. Ther. 2013, 15, 942–947. [Google Scholar] [CrossRef] [PubMed]
- Huang, L.; Xie, Y.; Dai, S.; Zheng, H. Neutrophil-to-lymphocyte ratio in diabetic microangiopathy. Int. J. Clin. Exp. Pathol. 2017, 10, 1223–1232. [Google Scholar]
- Atlı, H.; Onalan, E.; Yakar, B.; Duzenci, D.; Dönder, E. Predictive value of inflammatory and hematological data in diabetic and non-diabetic retinopathy. Eur. Rev. Med. Pharmacol. Sci. 2022, 26, 76–83. [Google Scholar] [CrossRef] [PubMed]
- Romero-Aroca, P.; Baget-Bernaldiz, M.; Pareja-Rios, A.; Lopez-Galvez, M.; Navarro-Gil, R.; Verges, R. Diabetic Macular Edema Pathophysiology: Vasogenic versus Inflammatory. J. Diabetes Res. 2016, 2016, 2156273. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
- Hu, Y.; Cheng, Y.; Xu, X.; Yang, B.; Mei, F.; Zhou, Q.; Yan, L.; Wang, J.; Wu, X. Pretreatment neutrophil-to-lymphocyte ratio predicts prognosis in patients with diabetic macular edema treated with ranibizumab. BMC Ophthalmol. 2019, 19, 194. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
- Vural, E.; Hazar, L. Assessment of Inflammation Biomarkers in Diabetic Macular Edema Treated with Intravitreal Dexamethasone Implant. J. Ocul. Pharmacol. Ther. 2021, 37, 430–437. [Google Scholar] [CrossRef] [PubMed]
- Zhou, J.; Song, S.; Zhang, Y.; Jin, K.; Ye, J. OCT-Based Biomarkers are Associated with Systemic Inflammation in Patients with Treatment-Naïve Diabetic Macular Edema. Ophthalmol. Ther. 2022, 11, 2153–2167. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
- Dimitriou, E.; Sergentanis, T.N.; Lambadiari, V.; Theodossiadis, G.; Theodossiadis, P.; Chatziralli, I. Correlation between Imaging Morphological Findings and Laboratory Biomarkers in Patients with Diabetic Macular Edema. J. Diabetes Res. 2021, 2021, 6426003. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
- Colijn, J.M.; Buitendijk, G.H.S.; Prokofyeva, E.; Alves, D.; Cachulo, M.L.; Khawaja, A.P.; Cougnard-Gregoire, A.; Merle, B.M.J.; Korb, C.; Erke, M.G.; et al. EYE-RISK consortium; European Eye Epidemiology (E3) consortium. Prevalence of Age-Related Macular Degeneration in Europe: The Past and the Future. Ophthalmology 2017, 124, 1753–1763. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
- Fleckenstein, M.; Keenan, T.D.L.; Guymer, R.H.; Chakravarthy, U.; Schmitz-Valckenberg, S.; Klaver, C.C.; Wong, W.T.; Chew, E.Y. Age-related macular degeneration. Nat. Rev. Dis. Primers 2021, 7, 31. [Google Scholar] [CrossRef] [PubMed]
- Borchert, G.A.; Shamsnajafabadi, H.; Hu, M.L.; De Silva, S.R.; Downes, S.M.; MacLaren, R.E.; Xue, K.; Cehajic-Kapetanovic, J. The Role of Inflammation in Age-Related Macular Degeneration-Therapeutic Landscapes in Geographic Atrophy. Cells 2023, 12, 2092. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
- Heloterä, H.; Kaarniranta, K. A Linkage between Angiogenesis and Inflammation in Neovascular Age-Related Macular Degeneration. Cells 2022, 11, 3453. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
- Ilhan, N.; Daglioglu, M.C.; Ilhan, O.; Coskun, M.; Tuzcu, E.A.; Kahraman, H.; Keskin, U. Assessment of Neutrophil/Lymphocyte Ratio in Patients with Age-related Macular Degeneration. Ocul. Immunol. Inflamm. 2015, 23, 287–290. [Google Scholar] [CrossRef] [PubMed]
- Kurtul, B.E.; Ozer, P.A. The Relationship between Neutrophil-to-lymphocyte Ratio and Age-related Macular Degeneration. Korean J. Ophthalmol. 2016, 30, 377–381. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
- Subhi, Y.; Lykke Sørensen, T. New neovascular age-related macular degeneration is associated with systemic leucocyte activity. Acta Ophthalmol. 2017, 95, 472–480. [Google Scholar] [CrossRef] [PubMed]
- Sengul, E.A.; Artunay, O.; Kockar, A.; Afacan, C.; Rasier, R.; Gun, P.; Yalcin, N.G.; Yuzbasioglu, E. Correlation of neutrophil/lymphocyte and platelet/lymphocyte ratio with visual acuity and macular thickness in age-related macular degeneration. Int. J. Ophthalmol. 2017, 10, 754–759. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
- Pinna, A.; Porcu, T.; D’Amico-Ricci, G.; Dore, S.; Boscia, F.; Paliogiannis, P.; Carru, C.; Zinellu, A. Complete Blood Cell Count-Derived Inflammation Biomarkers in Men with Age-Related Macular Degeneration. Ocul. Immunol. Inflamm. 2019, 27, 932–936. [Google Scholar] [CrossRef] [PubMed]
- Erdem, B.; Gok, M. Evaluation of the Effects of Intravitreal Aflibercept and Ranibizumab on Systemic Inflammatory and Cardiovascular Biomarkers in Patients with Neovascular Age-related Macular Degeneration. Curr. Eye Res. 2021, 46, 1387–1392. [Google Scholar] [CrossRef] [PubMed]
- Karahan, M.; Hazar, L.; Erdem, S.; Ava, S.; Dursun, M.E.; Demirtaş, A.A.; Keklikçi, U. Is there a relationship between hematological inflammatory parameters and age-related macular degeneration? Ther. Adv. Ophthalmol. 2021, 13, 25158414211010550. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
- Naif, S.; Majed, R.; Mohieldin, E.; Hanan, A.; Lamis, A.; Maha, A. Neutrophil-Lymphocyte Ratios in Dry Age-Related Macular Degeneration. Ocul. Immunol. Inflamm. 2023, 31, 1647–1652. [Google Scholar] [CrossRef] [PubMed]
- Hu, W.W.; Huang, Y.K.; Huang, X.G. Comparison of Peripheral Blood Inflammatory Indices in Patients with Neovascular Age-related Macular Degeneration and Haemorrhagic Polypoidal Choroidal Vasculopathy. Ocul. Immunol. Inflamm. 2023, 31, 935–939. [Google Scholar] [CrossRef] [PubMed]
- Tricorache, D.F.; Dascalu, A.M.; Alexandrescu, C.; Bobirca, A.; Grigorescu, C.; Tudor, C.; Cristea, B.M. Correlations Between the Neutrophil-Lymphocyte Ratio, Platelet-Lymphocyte Ratio, and Serum Lipid Fractions with Neovascular Age-Related Macular Degeneration. Cureus 2024, 16, e62503. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
- Gökce, S.E.; Çelik, A.; Başkan, C. The role of blood neutrophil lymphocyte ratio in predicting the initial response to anti-VEGF treatment in neovascular AMD patients. Ir. J. Med. Sci. 2024, 193, 517–521. [Google Scholar] [CrossRef] [PubMed]
- Gunay, B.O. Evaluation of systemic immune-inflammatory index in patients with wet age-related macular degeneration. Clin. Exp. Optom. 2024, 107, 47–50. [Google Scholar] [CrossRef] [PubMed]
- Ip, M.; Hendrick, A. Retinal Vein Occlusion Review. Asia-Pac. J. Ophthalmol. 2018, 7, 40–45. [Google Scholar] [CrossRef] [PubMed]
- Rehak, M.; Wiedemann, P. Retinal vein thrombosis: Pathogenesis and management. J. Thromb. Haemost. 2010, 8, 1886–1894. [Google Scholar] [CrossRef] [PubMed]
- Li, X.; Cao, X.; Zhao, M.; Bao, Y. The Changes of Irisin and Inflammatory Cytokines in the Age-Related Macular Degeneration and Retinal Vein Occlusion. Front. Endocrinol. 2022, 13, 861757. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
- Yi, Q.Y.; Wang, Y.Y.; Chen, L.S.; Li, W.D.; Shen, Y.; Jin, Y.; Yang, J.; Wang, Y.; Yuan, J.; Cheng, L. Implication of inflammatory cytokines in the aqueous humour for management of macular diseases. Acta Ophthalmol. 2020, 98, e309–e315. [Google Scholar] [CrossRef] [PubMed]
- Dursun, A.; Ozturk, S.; Yucel, H.; Ozec, A.V.; Dursun, F.G.; Toker, M.I.; Erdogan, H.; Arici, M.K.; Topalkara, A. Association of neutrophil/lymphocyte ratio and retinal vein occlusion. Eur. J. Ophthalmol. 2015, 25, 343–346. [Google Scholar] [CrossRef] [PubMed]
- Turkseven Kumral, E.; Yenerel, N.M.; Ercalik, N.Y.; Imamoglu, S.; Vural, E.T. Neutrophil/lymphocyte ratio and mean platelet volume in branch retinal vein occlusion. Saudi J. Ophthalmol. 2016, 30, 105–108. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
- Şahin, M.; Elbey, B.; Şahin, A.; Yüksel, H.; Türkcü, F.M.; Çaça, İ. Neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio in retinal vein occlusion. Clin. Exp. Optom. 2020, 103, 490–494. [Google Scholar] [CrossRef] [PubMed]
- Zhang, A.; Ning, L.; Han, J.; Ma, Y.; Ma, Y.; Cao, W.; Sun, X.; Li, S. Neutrophil-to-Lymphocyte Ratio as a Potential Biomarker of Neovascular Glaucoma. Ocul. Immunol. Inflamm. 2021, 29, 417–424. [Google Scholar] [CrossRef] [PubMed]
- Zhu, D.D.; Liu, X. Neutrophil/Lymphocyte Ratio and Platelet/Lymphocyte Ratio in Branch Retinal Vein Occlusion. J. Ophthalmol. 2019, 2019, 6043612. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
- Pinna, A.; Porcu, T.; Marzano, J.; Boscia, F.; Paliogiannis, P.; Dore, S.; Alessio, G.; Carru, C.; Zinellu, A. Mean Platelet Volume, Red Cell Distribution Width, and Complete Blood Cell Count Indices in Retinal Vein Occlusions. Ophthalmic Epidemiol. 2021, 28, 39–47. [Google Scholar] [CrossRef] [PubMed]
- Kazantzis, D.; Machairoudia, G.; Kroupis, C.; Theodossiadis, G.; Theodossiadis, P.; Chatziralli, I. Complete Blood Count-Derived Inflammation Indices and Retinal Vein Occlusion: A Case-Control Study. Ophthalmol. Ther. 2022, 11, 1241–1249. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
- Zuo, W.; Chen, T.; Song, J.; Ai, M. Assessment of Systemic Immune-inflammation Index Levels in Patients with Retinal Vein Occlusion. Ocul. Immunol. Inflamm. 2023, 31, 491–495. [Google Scholar] [CrossRef] [PubMed]
- Chatziralli, I.; Kazantzis, D.; Kroupis, C.; Machairoudia, G.; Dimitriou, E.; Theodossiadis, G.; Theodossiadis, P.; Sergentanis, T.N. The impact of laboratory findings and optical coherence tomography biomarkers on response to intravitreal anti-VEGF treatment in patients with retinal vein occlusion. Int. Ophthalmol. 2022, 42, 3449–3457. [Google Scholar] [CrossRef] [PubMed]
- Qin, G.; He, F.; Zhang, H.; Pazo, E.E.; Dai, G.; Yao, Q.; He, W.; Xu, L.; Lin, T. 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 2022, 17, e0263587. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
- Timur, İ.E.E.; Tarım, B.; Şeker, E.D.; Uğurlu, N. The relation between serum inflammatory marker levels and serous retinal detachment in macular edema secondary to retinal vein occlusion. Photodiagnosis Photodyn. Ther. 2023, 42, 103591. [Google Scholar] [CrossRef] [PubMed]
- Kazantzis, D.; Sergentanis, T.N.; Machairoudia, G.; Dimitriou, E.; Kroupis, C.; Theodossiadis, G.; Theodossiadis, P.; Chatziralli, I. Correlation Between Imaging Morphological Findings and Laboratory Biomarkers in Patients with Retinal Vein Occlusion. Ophthalmol. Ther. 2023, 12, 1239–1249. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
- Wang, X.; Wang, L.; Li, X.; Liu, S.; Liu, B. Characteristics of Hematologic Parameters in Young Patients with Retinal Vein Occlusion. Ophthalmic Res. 2023, 66, 1096–1103. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
- Rao, J.; Wu, N.; Qu, X.; Hu, Y.; Wu, Y.; Cheng, Y.; Yan, L.; Huang, H.; Li, S.; Shi, L.; et al. The Role of Serum Inflammation-Based Factors in Anti-Vascular Endothelial Growth Factor Treatment for Macular Edema Secondary to Retinal Vein Occlusion and Its Subtypes. Ophthalmic Res. 2021, 64, 237–245. [Google Scholar] [CrossRef] [PubMed]
- Doğan, E.; Gündoğdu, K.Ö.; Bursalı, Ö.; Çelik, E.; Alagöz, G. Systemic Inflammatory Marker Levels in Serous Macular Detachment Secondary to Retinal Vein Occlusion. J. Curr. Ophthalmol. 2023, 35, 177–181. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
- Varma, D.D.; Cugati, S.; Lee, A.W.; Chen, C.S. A review of central retinal artery occlusion: Clinical presentation and management. Eye 2013, 27, 688–697. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
- Madaudo, C.; Coppola, G.; Parlati, A.L.M.; Corrado, E. Discovering Inflammation in Atherosclerosis: Insights from Pathogenic Pathways to Clinical Practice. Int. J. Mol. Sci. 2024, 25, 6016. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
- Atum, M.; Alagöz, G. Neutrophil-to-lymphocyte Ratio and Platelet-to-lymphocyte Ratio in Patients with Retinal Artery Occlusion. J. Ophthalmic Vis. Res. 2020, 15, 195–200. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
- Guven, S.; Kilic, D. 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. 2021, 29, 997–1001. [Google Scholar] [CrossRef] [PubMed]
- Pinna, A.; Porcu, T.; Paliogiannis, P.; Dore, S.; Serra, R.; Boscia, F.; Carru, C.; Zinellu, A. Complete blood cell count measures in retinal artey occlusions. Acta Ophthalmol. 2021, 99, 637–643. [Google Scholar] [CrossRef] [PubMed]
- Elbeyli, A.; Kurtul, B.E.; Ozcan, D.O.; Ozcan, S.C.; Dogan, E. 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. 2022, 30, 1940–1944. [Google Scholar] [CrossRef] [PubMed]
- Groen, F.; Ramdas, W.; de Hoog, J.; Vingerling, J.R.; Rothova, A. Visual outcomes and ocular morbidity of patients with uveitis referred to a tertiary center during first year of follow-up. Eye 2016, 30, 473–480. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
- Ozgonul, C.; Sertoglu, E.; Ayyildiz, O.; Mumcuoglu, T.; Kucukevcilioglu, M.; Gokce, G.; Durukan, A.H. Novel biomarkers for patients with idiopathic acute anterior uveitis: Neutrophil to lymphocyte ratio and platelet to lymphocyte ratio. Int. J. Ophthalmol. 2017, 10, 262–266. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
- Avci, A.; Avci, D.; Erden, F.; Ragip, E.; Cetinkaya, A.; Ozyurt, K.; Atasoy, M. Can we use the neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, and mean platelet volume values for the diagnosis of anterior uveitis in patients with Behcet’s disease? Ther. Clin. Risk Manag. 2017, 13, 881–886. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
- Lee, E.K.; Lee, S.Y.; Kim, B.H.; Park, U.C.; Yu, H.G. Visual Prognostic Value of Neutrophil-to-Lymphocyte Ratio and Platelet-to-Lymphocyte Ratio in Behcet Uveitis. Retina 2022, 42, 1189–1198. [Google Scholar] [CrossRef] [PubMed]
- Yildiz Balci, S.; Turan-Vural, E.; Turkyilmaz, O.; Esen, F.; Aksaray, S. Complete blood count parameters and neutrophil-to-lymphocyte ratio values as markers for differentiation between systemic infectious and non-infectious uveitis. Int. Ophthalmol. 2020, 40, 3033–3041. [Google Scholar] [CrossRef] [PubMed]
- Hayreh, S.S. Ischemic optic neuropathy. Prog. Retin. Eye Res. 2009, 28, 34–62. [Google Scholar] [CrossRef] [PubMed]
- Watanabe, R.; Berry, G.J.; Liang, D.H.; Goronzy, J.J.; Weyand, C.M. Pathogenesis of Giant Cell Arteritis and Takayasu Arteritis—Similarities and Differences. Curr. Rheumatol. Rep. 2020, 22, 68. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
- Pinna, A.; Carlino, P.; Serra, R.; Boscia, F.; Dore, S.; Carru, C.; Zinellu, A. Red Cell Distribution Width (RDW) and Complete Blood Cell Count-Derived Measures in Non-Arteritic Anterior Ischemic Optic Neuropathy. Int. J. Med. Sci. 2021, 18, 2239–2244. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
- Koçak, N.; Yeter, V.; Güngör, I. Monocyte to High-Density Lipoprotein Ratio in Patients with Arteritic and Non-Arteritic Anterior Ischaemic Optic Neuropathy. Neuroophthalmology 2020, 44, 294–298. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
- Inanc, M.; Tekin, K.; Budakoglu, O.; Ilhan, B.; Aydemir, O.; Yilmazbas, P. Could Platelet Indices and Neutrophil to Lymphocyte Ratio Be New Biomarkers for Differentiation of Arteritic Anterior Ischemic Neuropathy from Non-Arteritic Type? Neuroophthalmology 2018, 42, 287–294. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
- Feenstra, H.M.A.; van Dijk, E.H.C.; Cheung, C.M.G.; Ohno-Matsui, K.; Lai, T.Y.Y.; Koizumi, H.; Larsen, M.; Querques, G.; Downes, S.M.; Yzer, S.; et al. Central serous chorioretinopathy: An evidence-based treatment guideline. Prog. Retin. Eye Res. 2024, 101, 101236. [Google Scholar] [CrossRef] [PubMed]
- Yannuzzi, L.A. Central serous chorioretinopathy: A personal perspective. Am. J. Ophthalmol. 2010, 149, 361–363. [Google Scholar] [CrossRef] [PubMed]
- Sirakaya, E.; Duru, Z.; Kuçuk, B.; Duru, N. Monocyte to high-density lipoprotein and neutrophil-to-lymphocyte ratios in patients with acute central serous chorioretinopathy. Indian. J. Ophthalmol. 2020, 68, 854–858. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
- Dursun, A.; Toker, M.I.; Ozec, A.V.; Bozali, E.; Kirboga, K.; Dursun, F.G.; Erdogan, H.; Topalkara, A.; Arici, M.K. Relationship between mean platelet volume and central serous chorioretinopathy. Int. Ophthalmol. 2017, 37, 119–124. [Google Scholar] [CrossRef] [PubMed]
- Shen, X.; Kong, F.; Wen, J.; Wang, X.; Huang, C. The role of inflammation in central serous chorioretinopathy: From mechanisms to therapeutic prospects. Front. Pharmacol. 2024, 15, 1200492. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
- Mandal, N.; Kofod, M.; Vorum, H.; Villumsen, J.; Eriksen, J.; Heegaard, S.; Prause, J.U.; Ahuja, S.; Honoré, B.; la Cour, M. Proteomic analysis of human vitreous associated with idiopathic epiretinal membrane. Acta Ophthalmol. 2013, 91, e333–e334. [Google Scholar] [CrossRef] [PubMed]
- Dikkaya, F.; Karaman Erdur, S.; Ozsutcu, M.; Aydin, R.; Kocabora, M.S.; Aras, C. The significance of neutrophil-to-lymphocyte ratio in idiopathic epiretinal membrane. Int. Ophthalmol. 2018, 38, 1393–1397. [Google Scholar] [CrossRef] [PubMed]
- Ilhan, C.; Citirik, M.; Uzel, M.M.; Tekin, K. The Relationship of Neutrophil to Lymphocyte Ratio with Vitreomacular Traction Syndrome. Med. Hypothesis Discov. Innov. Ophthalmol. 2019, 8, 22–27. [Google Scholar] [PubMed] [PubMed Central]
- Koçak, N.; Erduran, B.; Yeter, V. Predictive values of systemic inflammation biomarkers in proliferative vitreoretinopathy associated with primary rhegmatogenous retinal detachment. Clin. Exp. Optom. 2023, 106, 852–858. [Google Scholar] [CrossRef] [PubMed]
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