Açık Akademik Arşiv Sistemi

Systemic immune-inflammation index could be associated with pseudophakic cystoid macular edema after an uneventful phacoemulsification surgery in patients without risk factors

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dc.contributor.authors Kocamis, Sucattin Ilker; Boz, Ali Altan Ertan; Ozdemir, Ibrahim
dc.date.accessioned 2023-01-24T12:08:47Z
dc.date.available 2023-01-24T12:08:47Z
dc.date.issued 2022
dc.identifier.uri http://dx.doi.org/10.1186/s12886-022-02606-5
dc.identifier.uri https://hdl.handle.net/20.500.12619/99623
dc.description Bu yayın 06.11.1981 tarihli ve 17506 sayılı Resmî Gazete’de yayımlanan 2547 sayılı Yükseköğretim Kanunu’nun 4/c, 12/c, 42/c ve 42/d maddelerine dayalı 12/12/2019 tarih, 543 sayılı ve 05 numaralı Üniversite Senato Kararı ile hazırlanan Sakarya Üniversitesi Açık Bilim ve Açık Akademik Arşiv Yönergesi gereğince telif haklarına uygun olan nüsha açık akademik arşiv sistemine açık erişim olarak yüklenmiştir.
dc.description.abstract Background To evaluate the association between serum biomarkers and pseudophakic cystoid macular edema (PCME) in eyes without risk factors after uneventful phacoemulsification cataract surgery. Methods This is a case-control study. Patients without risk factors and who developed clinically significant PCME after uncomplicated phacoemulsification surgery were enrolled in the study. The age- and sex-matched control group that had normal fundus examination findings and 10/10 visual acuity in the first week, first month and following postoperative control visits was randomly recruited from the same study cohort. The neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and systemic immune-inflammation index (SII) were obtained from the preoperative complete blood count (CBC) test and compared between the two groups. Linear regression analysis was used to assess the relationship between central macular thickness (CMT) and biomarkers. A binary logistic regression model was generated to evaluate the significance of the biomarkers in predicting PCME. The receiver operating characteristic (ROC) curves of the significant parameters in the logistic regression model were presented to detect the area under the curve (AUC), the cut-off point, the sensitivity and the specificity. Results The study cohort included 5352 patients. Of these patients, 52 (0.97%) met the inclusion criteria, and 60 age- and sex-matched patients were recruited as the control group. PLR, NLR, and SII were significantly different between the two groups (p = 0.006, p = 0.002, p < 0.001, respectively). According to the linear regression analysis, SII was found to have a significant relationship with CMT (p < 0.001). Only SII was assessed as significant in the logistic regression model (p = 0.046). In the ROC curve, the AUC of SII was 0.709. The sensitivity and specificity of SII for PCME prediction were 65.38% and 75%, respectively, and the cut-off point was 433.70. Conclusion SII is associated with the occurrence of PCME in eyes without risk factors after uneventful phacoemulsification surgery. SII could be a useful tool to predict PCME in eyes without risk factors.
dc.language English
dc.language.iso eng
dc.publisher BMC
dc.relation.isversionof 10.1186/s12886-022-02606-5
dc.subject Ophthalmology
dc.subject Pseudophakic cystoid macular edema
dc.subject Systemic immune-inflammation index
dc.subject Serum biomarkers
dc.subject Neutrophil-to-lymphocyte ratio
dc.subject Platelet-to-lymphocyte ratio
dc.title Systemic immune-inflammation index could be associated with pseudophakic cystoid macular edema after an uneventful phacoemulsification surgery in patients without risk factors
dc.type Article
dc.contributor.authorID kocamış, Ilker/0000-0001-8731-0471
dc.identifier.volume 22
dc.relation.journal BMC OPHTHALMOLOGY
dc.identifier.issue 1
dc.identifier.doi 10.1186/s12886-022-02606-5
dc.identifier.eissn 1471-2415
dc.contributor.author Kocamis, Sucattin Ilker
dc.contributor.author Boz, Ali Altan Ertan
dc.contributor.author Ozdemir, Ibrahim
dc.relation.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rights.openaccessdesignations Green Published, gold


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