Abstract
AimIt is known that inflammatory processes increase the risk of cataract formation. There are no studies examining inflammatory indices in patients with cataract. Therefore, this is the first study that simultaneously investigates the systemic inflammatory response index (SIRI) and pan-immune-inflammation value (PIV) in patients with cataract.MethodsNinety-five patients and 80 healthy controls who were examined at the Ophthalmology clinics of Aksaray University Education and Research Hospital between January 2022 and January 2023 were included in this retrospective study. The neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR), systemic immune-inflammation index (SII), SIRI and PIV values were calculated as indicators of the inflammatory process.ResultsThe mean age of the patients was 68.3 ± 12.1 years and 54.7% of cataract patients were females. In the control group, the mean age was 66.5 ± 5.4 years, and 32.5% of the participants were females. There was no significant difference between the patient and control groups in terms of laboratory parameters (P > 0.05). In addition, inflammatory indices were calculated for the patient and control groups. No statistically significant difference was found between NLR, PLR, LMR, SII, SIRI, and PIV between the groups (P > 0.05).ConclusionThis study indicates that SIRI and PIV can be used in the evaluation of cataract patients. Therefore, Hemogram parameters and inflammatory indexes created with their combination may contribute to monitoring the progression of cataracts.
Keywords
Introduction
Cataract is the most common cause of visual impairment, affecting millions of people around the world, and its incidence is very high, especially in developing countries.1 Age-related cataract is a common disease, the prevalence of which increases steeply past the age of 60 years. The prevalence of cataract was reported as 8-50% between the ages of 40-59, and 20-88% over the age of 60.2 There have been implicated risk factors including diabetes mellitus, inflammatory diseases, aging, genetic factors, drugs, smoking, malnutrition, and radiation in cataract formation.3 Under normal conditions, oxidant and antioxidant molecules are in balance in our bodies.4-6
As a result of the abnormal increase of free radicals, this balance is disrupted and causes oxidative stress (OS) and is accepted as one of the main underlying causes of cataract disorder.1,7 The accumulation of oxidized lens components as a result of the increase in reactive oxygen species (ROS) due to aging, the decrease in endogenous antioxidants, and the decrease in the efficiency of the mechanisms involved in their repair play an important role in the formation of cataracts.3
Inflammation occurs after surgery and pathological injury, and can cause eye diseases leading to vision impairment.8 It has been shown that ocular inflammation significantly increases the risk of cataract formation due to various factors or as a result of systemic inflammatory processes.9 OS and Ocular inflammation (OI) are closely related pathophysiological processes, and both processes are simultaneously found in many pathological conditions, including age-related cataracts.10 During the inflammatory process, activated phagocytic cells such as neutrophils and macrophages may play a role in cataract pathophysiology by producing large amounts of ROS.1 In the literature, several studies have investigated the association between systemic inflammation and cataract, reporting associations between blood biomarkers including intracellular adhesion molecule-1, interleukin-6 (IL-6), transforming growth factor-beta (TGF-β), interferon-gamma (INF-γ), calprotectin.11-14 In the studies, inflammatory indices such as neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR) and lymphocyte-to-monocyte ratio (LMR) have been reported as indicators of systemic and ocular inflammation.15 It has been reported that a new inflammatory marker, Systemic immune-inflammation index (SII), is a prognostic indicator in various diseases such as primary open-angle glaucoma, dry eye disease, diabetic retinopathy, retinal vein occlusion and retinal artery occlusion.16-20 Systemic inflammatory response index (SIRI) and pan-immune-inflammation value (PIV) are newly designed indexes that are considered comprehensive indicators of the immune response and systemic inflammation. The SIRI and PIV are important in the prognosis or treatment response of patients with cancers, acute coronary syndrome and several sepsis.21-24 However, SIRI and PIV are not indexes previously evaluated in inflammatory ocular diseases. To the best of our knowledge, this is the first report evaluating NLR, PLR, LMR, SII, SIRI and PIV parameters in patients with cataract.
Materials and Methods
Ninety-five cataract patients and 80 healthy controls who were examined at the Ophthalmology clinics of Aksaray University Education and Research Hospital between January 2022 and January 2023 were included in this retrospective study. The present study was conducted in accordance with the Helsinki Declaration rules, and informed consent forms were obtained from all the participants. The present study was approved by the Aksaray University Local Ethics Committee (protocol number: 22-SBKAEK).
Patients with systemic diseases, including systemic infection and inflammatory disease were excluded from the study. In addition, patients with previous ocular surgery, uveitis, glaucoma, pseudoexfoliation syndrome, and retinal disease were excluded. The patient group had a best-corrected visual acuity (BCVA) of 20/40 or less with the Snellen chart. In anterior segment examination with a biomicroscope, the patient group had a senile cataract grade above 3, and dilated fundus evaluation was normal. The age- and sex-matched healthy group had BCVA of better than 20/25 with the Snellen chart. In the healthy group, the anterior segment and fundus examination were normal. In addition, patient and healthy groups were classified according to the presence of diabetes mellitus (DM). Demographic information, hemogram and biochemical parameters of the study and healthy groups were collected from the hospital automation system. The hemogram parameters, low-density lipoprotein (LDL), and serum C-reactive protein (CRP) levels were assessed. Neutrophil, lymphocyte, platelet and monocyte levels of groups were used in the complete blood parameters. The NLR, PLR, LMR, SII, SIRI and PIV, respectively, were calculated as follows: the ratio of neutrophils to lymphocytes, platelets to lymphocytes, lymphocytes to monocytes, that of platelets x (neutrophils/lymphocytes), (neutrophils x monocytes)/lymphocytes and (neutrophils x platelets x monocytes)/lymphocytes.Ethical ApprovalEthics Committee approval for the study was obtained.Statistical AnalysisIBM SPSS 22 was used for the statistical analysis of the groups. The Kolmogorov-Smirnov test was used to determine whether the data were normally distributed or not. Categorical variables were expressed as numbers and percentages, and differences between groups were determined using the chi-squared test. Continuous variables were compared using Student’s t-test and expressed as means ± standard deviation. Values that did not fit the normal distribution were compared using the Mann-Whitney U test. A statistically significant p-value was accepted as <0.05.
Results
The mean age was 68.3 ± 12.1 years, and 54.7% of cataract patients were females. In the control group, the mean age was 66.5 ± 5.4 years, and 32.5% of the participants were females. There was no statistically significant difference between the groups in terms of age and gender (Table 1).
Diabetes mellitus was present in 42% of the cataract patients and 24% of the control group. A statistically significant difference was found between the two groups in terms of DM (P = 0.01). The median (min-max) outcomes of the hemogram parameters and indexes between the groups are shown in Table 2.
There was no significant difference between the patient and control groups in terms of laboratory parameters (P > 0.05). In addition, inflammatory indices were calculated for the patient and control groups. No statistically significant difference was found between NLR, PLR, LMR, SII, SIRI, and PIV indices between the groups (P > 0.05, Table 2).
Discussion
To the best of our knowledge, this is the first study to examine hemogram parameters and novel inflammatory indices including NLR, PLR, LMR, SII, SIRI, PIV together in patients with cataract. In the present study, we aimed to compare hemogram parameters and calculated novel inflammatory indices between patient and control groups. Hemogram parameters and inflammatory indices were not significantly different between the two groups.
Studies have reported that the risk of age-related cataracts increases with OI as a result of local factors or a combination of systemic inflammatory conditions.11,13 Klein et al. reported that markers of inflammation, including intracellular adhesion molecule-1 and IL-6, were significantly associated with age-related cataracts.11 In another study, Chen et al. reported that inflammatory cytokines such as IL-2, and IFN-γ were significantly increased in age-related cataract and inflammatory cataract patients.13 Erdal et al. reported that calprotectin levels were statistically significant compared to the patient and control groups in their study, in which they determined the levels of calprotectin, an inflammatory marker, in patients with cataract. They reported that NLR and PLR levels were not different in cataract patients compared to the control group. They also hypothesized that the determination of increased serum calprotectin levels can be used to assess the severity and follow-up of the disease.14
Clinical laboratory indicators and markers of systemic inflammatory status, including NLR, PLR, LMR, and SII, have been proposed as prognostic indicators in a variety of diseases in multiple disease studies.15 Tang et al. indicated that in the primary open angle glaucoma group, NLR, PLR and SII levels were significantly increased compared with the control group (p < 0.001). However, they showed that the LMR value was lower in the primary open-angle glaucoma patients with respect to controls.16
In another study, Ozarslan et al. found that the mean NLR, PLR and SII levels were significantly higher in dry eye patients compared to the healthy group.17 In addition, Kocamis et al. showed an association of pseudophakic cystoid macular edema with NLR, PLR and SII in eyes without risk factors after phacoemulsification surgery.25 In a study conducted by Erbeyli et al. they reported that SII levels were significantly higher in patients with diabetic macular edema compared to patients without diabetic macular edema.18 Consistent with other studies, it has been reported that NLR and SII values are significantly higher in patients with retinal vein occlusion and central retinal artery occlusion compared to the healthy group.19-20
SIRI and PIV are newly designed indexes that are considered easily calculable and comprehensive indicators of immune response and systemic inflammation. They are not previously evaluated in inflammatory ocular diseases. Han et al.’s study of 1724 patients with acute coronary syndrome reported that SIRI was significantly associated with major adverse cardiovascular conditions.24 A meta-analysis encompassing 15 studies revealed that cancer patients with higher PIV levels had a significantly increased risk of death compared to those with lower PIV levels.23
Conclusion
In conclusion, SII, SIRI and PIV is a new inflammatory indexes that can be used in the evaluation of patients with cataracts. Consequently, measurement of hemogram parameters and inflammatory indexes created with their combination may contribute to monitoring the progression of the cataracts.
Declarations
Animal and Human Rights Statement
All procedures performed in this study were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. No animal or human studies were carried out by the authors for this article.
Data Availability
The datasets used and/or analyzed during the current study are not publicly available due to patient privacy reasons but are available from the corresponding author on reasonable request.
Conflict of Interest
None of the authors received any type of financial support that could be considered potential conflict of interest regarding the manuscript or its submission.
Funding
None.
References
- Ahmad A, Ahsan H. Biomarkers of inflammation and oxidative stress in ophthalmic disorders. J Immunoassay Immunochem. 2020;41(3):257-271. doi:10.1080/15321819.2020.1726774
- Hashemi H, Pakzad R, Yekta A, et al. Global and regional prevalence of age-related cataract: a comprehensive systematic review and meta-analysis. Eye (Lond). 2020;34(8):1357-1370. doi:10.1038/s41433-020-0806-3
- Elmazar HM, Elmadbouh I, Mandour SS, Al Ariny GM, Ibrahim AM. Association between cataract progression and ischemia-modified albumin in relation to oxidant-antioxidant profiles in the serum, aqueous humor, and lens. J Cataract Refract Surg. 2018;44(2):134-139. doi:10.1016/j.jcrs.2017.10.051
- Erdal H, Ciftciler R, Tuncer SC, Özcan O. Evaluation of dynamic thiol-disulfide homeostasis and ischemia-modified albumin levels in patients with chronic lymphocytic leukemia. J Investig Med. 2023;71(1):62-66. doi:10.1136/jim-2022-002568
- Erdal H, Özcan O, Turgut FH, Neşelioğlu S, Erel Ö. Evaluation of dynamic thiol-disulfide balance and ischemia-modified albumin levels in patients with chronic kidney disease. Med J Mustafa Kemal Univ. 2022;13(47):237-242. doi:10.17944/mkutfd.947113
- Erdal H, Bekmezci M. Evaluation of dynamic thiol/disulfide homeostasis and ischemia-modified albumin levels in cord blood of newborns to patients with oxytocin-induced labor. Aksaray Univ J Sport Health Res. 2022;3(2):193-202.
- Özcan O, Erdal H, Çakırca G, Yönden Z. Oxidative stress and its impacts on intracellular lipids, proteins and DNA. J Clin Exp Invest. 2015;6:331-336. doi:10.5799/ahinjs.01.2015.03.0545
- Stepp MA, Menko AS. Immune responses to injury and their links to eye disease. Transl Res. 2021;236:52-71. doi:10.1016/j.trsl.2021.05.005
- Minkus CL, Pistilli M, Dreger KA, et al; Systemic Immunosuppressive Therapy for Eye Diseases (SITE) Cohort Study Research Group. Risk of cataract in intermediate uveitis. Am J Ophthalmol. 2021;229:200-209. doi:10.1016/j.ajo.2021.02.032
- Biswas SK. Does the interdependence between oxidative stress and inflammation explain the antioxidant paradox? Oxid Med Cell Longev. 2016;2016:5698931. doi:10.1155/2016/5698931
- Klein BE, Klein R, Lee KE, Knudtson MD, Tsai MY. Markers of inflammation, vascular endothelial dysfunction, and age-related cataract. Am J Ophthalmol. 2006;141(1):116-122. doi:10.1016/j.ajo.2005.08.021
- Kubo E, Shibata T, Singh DP, Sasaki H. Roles of TGF and FGF signals in the lens: tropomyosin regulation for posterior capsule opacity. Int J Mol Sci. 2018;19(10):3093. doi:10.3390/ijms19103093
- Chen W, Lin H, Zhong X, et al. Discrepant expression of cytokines in inflammation- and age-related cataract patients. PLoS One. 2014;9(10). doi:10.1371/journal.pone.0109647
- Erdal H, Yasar E, Tuncer SC. Determination of calprotectin levels in patients with cataract surgery. Ann Clin Anal Med. 2023;14(2):148-151. doi:10.4328/acam.21474
- Kurtul BE, Ozer PA. Neutrophil-to-lymphocyte ratio in ocular diseases: a systematic review. Int J Ophthalmol. 2019;12(12):1951-1958. doi:10.18240/ijo.2019.12.18
- Tang B, Li S, Han J, Cao W, Sun X. Associations between blood cell profiles and primary open-angle glaucoma: a retrospective case-control study. Ophthalmic Res. 2020;63(4):413-422. doi:10.1159/000504450
- Ozarslan Ozcan D, Kurtul BE, Ozcan SC, Elbeyli A. Increased systemic immune-inflammation index levels in patients with dry eye disease. Ocul Immunol Inflamm. 2022;30(3):588-592. doi:10.1080/09273948.2020.1821899
- Elbeyli A, Kurtul BE, Ozcan SC, Ozarslan Ozcan D. The diagnostic value of systemic immune-inflammation index in diabetic macular oedema. Clin Exp Optom. 2022;105(8):831-835. doi:10.1080/08164622.2021.1994337
- Zuo W, Chen T, Song J, Ai M. Assessment of systemic immune-inflammation index levels in patients with retinal vein occlusion. Ocul Immunol Inflamm. 2022.
- Elbeyli A, Kurtul BE, Ozcan DO, Ozcan SC, 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(7-8):1940-1944. doi:10.1080/09273948.2021.1976219
- Zhang W, Zheng Y, Feng X, Chen M, Kang Y. Systemic inflammatory response syndrome in Sepsis-3: a retrospective study. BMC Infect Dis. 2019;19(1):139. doi:10.1186/s12879-019-3790-0
- Yang XC, Liu H, Liu DC, et al. Prognostic value of pan-immune-inflammation value in colorectal cancer patients: a systematic review and meta-analysis. Front Oncol. 2022;12:1036890. doi:10.3389/fonc.2022.1036890
- Guven DC, Sahin TK, Erul E, et al. The association between the pan-immune-inflammation value and cancer prognosis: a systematic review and meta-analysis. Cancers (Basel). 2022;14(11):2675. doi:10.3390/cancers14112675
- Han K, Shi D, Yang L, et al. Prognostic value of systemic inflammatory response index in patients with acute coronary syndrome undergoing percutaneous coronary intervention. Ann Med. 2022;54(1):1667-1677. doi:10.1080/07853890.2022.2083671
- Kocamis SI, Boz AAE, Ozdemir I. Systemic immune-inflammation index could be associated with pseudophakic cystoid macular edema after an uneventful phacoemulsification surgery in patients without risk factors. BMC Ophthalmol. 2022;22(1):378.
Tables
Table 1. Demographic information of the study groups
*Chi-Square test ¥ Student’s t-test; DM: Diabetes Mellitus.
Table 2. Comparison of the blood parameters of the study and control groups
*Mann-Whitney U test NLR: Neutrophil to Lymphocyte Ratio, PLR: Platelet to Lymphocyte ratio, LMR: Lymphocyte to Monocyte Ratio, SII: Systemic inflammatory index (neutrophil x platelet/lymphocyte count), SIRI: Systemic inflammatory response index (neutrophil × monocyte/lymphocyte count) and PIV: Pan-immune inflammation value (neutrophil × platelet x monocyte /lymphocyte count, CRP: C-reactive protein.
About This Article
How to Cite This Article
Betül Akbulut Yağcı, Hüseyin Erdal. Can pan-immune inflammation value and systemic inflammatory response index be used clinically to predict inflammation in patients with cataract?. Ann Clin Anal Med 2023;14(12):1064-1065. doi:10.4328/ACAM.21657
Publication History
- Received:
- 17.02.2023
- Accepted:
- 16.06.2023
- Published Online:
- 03.07.2023
- Printed:
- 01.12.2023