Predicting the progression of primary open-angle glaucoma in the elderly by indices of systemic immune inflammation

The purpose of the research is predicting the progression of primary glaucoma using systemic immune inflammation indices. Methods. In a clinical setting, 143 patients aged 60–74 years with stage I primary open-angle glaucoma and 135 patients aged 60-74 years with stage II POAG were examined. POAG staging was performed according to standard criteria adopted in the Russian Federation. Venous blood was collected in the morning on an empty stomach into sterile tubes containing ethylenediaminetetraacetic acid and analyzed within one hour of collection using an automated Sysmex XN-A₁ system (Japan) to determine absolute counts of blood cells. These data were subsequently used to calculate systemic immune inflammation indices. Odds ratios and ROC analysis were performed. Results. Among patients with stage II POAG, elevated levels of most indices were found, and especially SIRI with a level of 3,27 ± 0,69 versus (1,12 ± 0,28)·10⁹/l in patients with stage I POAG and SII with a level of (1749,81±19,63)·10⁹/l versus (627,53±8,09)·10⁹/l respectively (p<0,001). The LMR level was significantly reduced. The adjusted odds ratio was most significant for SIRI (1,675; 95 % ‒ confidence interval 1,558–2,007) and SII (1,602; 1,532–1,964). For other indices, the odds ratio was lower and ranged from 1,265 for NLR to 1,493 for LMR. The ROC analysis confirmed the high predictive ability of the SIRI and SII indexes with an area under the curve of 0,862 and 0,811, respectively. Conclusion. SIRI and SII indices are recommended for predicting individual risk of POAG progression.

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Publication Details

Journal
Proceedings of the Southwest State University Series IT Management Computer Science Computer Engineering Medical Equipment Engineering
Published
2026-11-08
DOI
https://doi.org/10.21869/2223-1536-2026-16-2-169-180
Primary Topic
Glaucoma and retinal disorders
Type
article
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article

Predicting the progression of primary open-angle glaucoma in the elderly by indices of systemic immune inflammation

Диана Руслановна Шмарова, Антон Андреевич Абрамов, Анастасия Алексеевна Шорохова, Илья Максимович Федосеев et al.
Proceedings of the Southwest State University Series IT Management Computer Science Computer Engineering Medical Equipment Engineering
Glaucoma and retinal disorders
article

Predicting the progression of primary open-angle glaucoma in the elderly by indices of systemic immune inflammation

Диана Руслановна Шмарова, Антон Андреевич Абрамов, Анастасия Алексеевна Шорохова, Илья Максимович Федосеев, A. A. Bakhareva
article en

Abstract

The purpose of the research is predicting the progression of primary glaucoma using systemic immune inflammation indices. Methods. In a clinical setting, 143 patients aged 60–74 years with stage I primary open-angle glaucoma and 135 patients aged 60-74 years with stage II POAG were examined. POAG staging was performed according to standard criteria adopted in the Russian Federation. Venous blood was collected in the morning on an empty stomach into sterile tubes containing ethylenediaminetetraacetic acid and analyzed within one hour of collection using an automated Sysmex XN-A₁ system (Japan) to determine absolute counts of blood cells. These data were subsequently used to calculate systemic immune inflammation indices. Odds ratios and ROC analysis were performed. Results. Among patients with stage II POAG, elevated levels of most indices were found, and especially SIRI with a level of 3,27 ± 0,69 versus (1,12 ± 0,28)·10⁹/l in patients with stage I POAG and SII with a level of (1749,81±19,63)·10⁹/l versus (627,53±8,09)·10⁹/l respectively (p<0,001). The LMR level was significantly reduced. The adjusted odds ratio was most significant for SIRI (1,675; 95 % ‒ confidence interval 1,558–2,007) and SII (1,602; 1,532–1,964). For other indices, the odds ratio was lower and ranged from 1,265 for NLR to 1,493 for LMR. The ROC analysis confirmed the high predictive ability of the SIRI and SII indexes with an area under the curve of 0,862 and 0,811, respectively. Conclusion. SIRI and SII indices are recommended for predicting individual risk of POAG progression.

Proceedings of the Southwest State University Series IT Management Computer Science Computer Engineering Medical Equipment EngineeringVol. 16(3)
Glaucoma and retinal disorders
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