To Study the Role of Personalized Risk Factors for Poor Response to Angiostatic Therapy Based on Regression Models of the Disease

Purpose: to study the role of personalized risk factors for poor response to angiostatic therapy based on a regression model of the disease.Patients and methods. The study had a retrospective cohort design, including 84 patients (92 eyes) with a newly diagnosed MNV and evidence of disease activity....

Full description

Saved in:
Bibliographic Details
Main Authors: V. G. Likhvantseva, S. G. Kapkova, E. B. Tretyak, V. I. Naumova, H. M. Plieva, T. E. Borisenko
Format: Article
Language:Russian
Published: Ophthalmology Publishing Group 2025-03-01
Series:Oftalʹmologiâ
Subjects:
Online Access:https://www.ophthalmojournal.com/opht/article/view/2589
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1849687522065514496
author V. G. Likhvantseva
S. G. Kapkova
E. B. Tretyak
V. I. Naumova
H. M. Plieva
T. E. Borisenko
author_facet V. G. Likhvantseva
S. G. Kapkova
E. B. Tretyak
V. I. Naumova
H. M. Plieva
T. E. Borisenko
author_sort V. G. Likhvantseva
collection DOAJ
description Purpose: to study the role of personalized risk factors for poor response to angiostatic therapy based on a regression model of the disease.Patients and methods. The study had a retrospective cohort design, including 84 patients (92 eyes) with a newly diagnosed MNV and evidence of disease activity. In 18 (19.5 %) people, the process was bilateral. Personalized retinal morphometrics and intraocular pressure (IOP) in eyes with MNV treated with fixed intravitreal injections (IVI) of Eylea in correlation with treatment response were studied. Treatment response was ranked into five types. Treatment results were assessed clinically and morphometrically by optical coherence tomography (OCT). Based on the results of correlations, logistic regression models of the disease were built. They studied the role of various factors in the treatment of the disease and the strength of their association with an adverse outcome.Results. 2 models of the disease have been developed and presented in the form of logistic regression equations with formulas for calculating the prognosis of the effectiveness of treatment with angiostatics. The strength of the risk factors association for an adverse response was analyzed, such as the height of pigment epithelial detachment, the presence of intraretinal edema, personalized intraocular pressure indicators of the affected eye, the patient’s disease belonging to the hereditary form of AMD, the presence of bad habits (smoking). It is shown that an increase in the height of pigment epithelial detachment (marker PED_H = 170 microns) by 1 micron, with other unchanged predictors, increases the ratio of the chance of a negative outcome to a positive one by 1%. At this marker value, the sensitivity of the poor response to angiostatic treatment was 0.493 and the specificity was 0.737. When intraretinal edema occurs, the ratio of the chance of a negative outcome to a positive outcome increases by 68 %. In conditions of increased intraocular pressure, the risk of a poor response increases by 4 times. The prognosis for a smoker is 30% worse compared to a nonsmoking patient. Hereditary AMD increases the risk of developing a poor response to treatment by 25 %. Conclusion. A logistic regression model of the disease is presented, which correctly predicts 94 % of non-response, which makes the prognosis reliable, reliable and accurate. Modifiable (smoking, PED_H > 170 microns, presence of IRF, increased IOP) and non-modifiable (hereditary norm of the disease) risk factors that are important in practical ophthalmology and increase the likelihood of developing an unfavorable outcome of angiostatic treatment were analyzed.
format Article
id doaj-art-788c5dc8a1ba4b65852ebc9dd65d1a73
institution DOAJ
issn 1816-5095
2500-0845
language Russian
publishDate 2025-03-01
publisher Ophthalmology Publishing Group
record_format Article
series Oftalʹmologiâ
spelling doaj-art-788c5dc8a1ba4b65852ebc9dd65d1a732025-08-20T03:22:18ZrusOphthalmology Publishing GroupOftalʹmologiâ1816-50952500-08452025-03-0122113614210.18008/1816-5095-2025-1-136-1421236To Study the Role of Personalized Risk Factors for Poor Response to Angiostatic Therapy Based on Regression Models of the DiseaseV. G. Likhvantseva0S. G. Kapkova1E. B. Tretyak2V. I. Naumova3H. M. Plieva4T. E. Borisenko5A.I. Burnasyan Federal Medical Biophysical Center of the Federal Medical Biological Agency; Academy of Postgraduate Education of the Federal Scientific and Clinical Center for Specialized Medical Assistance and Medical Technologies of Federal Medical Biological AgencyA.I. Burnasyan Federal Medical Biophysical Center of the Federal Medical Biological Agency; Academy of Postgraduate Education of the Federal Scientific and Clinical Center for Specialized Medical Assistance and Medical Technologies of Federal Medical Biological Agency; Medico-biological University of Innovation and Continuing Education of Russian State Research Center — Burnasyan Federal Medical Biophysical Center of Federal Medical Biological AgencyA.I. Burnasyan Federal Medical Biophysical Center of the Federal Medical Biological AgencyA.I. Burnasyan Federal Medical Biophysical Center of the Federal Medical Biological Agency; Medico-biological University of Innovation and Continuing Education of Russian State Research Center — Burnasyan Federal Medical Biophysical Center of Federal Medical Biological AgencyA.I. Burnasyan Federal Medical Biophysical Center of the Federal Medical Biological Agency; Medico-biological University of Innovation and Continuing Education of Russian State Research Center — Burnasyan Federal Medical Biophysical Center of Federal Medical Biological AgencyResearch Institute of eye deseases named after M.M. KrasnovPurpose: to study the role of personalized risk factors for poor response to angiostatic therapy based on a regression model of the disease.Patients and methods. The study had a retrospective cohort design, including 84 patients (92 eyes) with a newly diagnosed MNV and evidence of disease activity. In 18 (19.5 %) people, the process was bilateral. Personalized retinal morphometrics and intraocular pressure (IOP) in eyes with MNV treated with fixed intravitreal injections (IVI) of Eylea in correlation with treatment response were studied. Treatment response was ranked into five types. Treatment results were assessed clinically and morphometrically by optical coherence tomography (OCT). Based on the results of correlations, logistic regression models of the disease were built. They studied the role of various factors in the treatment of the disease and the strength of their association with an adverse outcome.Results. 2 models of the disease have been developed and presented in the form of logistic regression equations with formulas for calculating the prognosis of the effectiveness of treatment with angiostatics. The strength of the risk factors association for an adverse response was analyzed, such as the height of pigment epithelial detachment, the presence of intraretinal edema, personalized intraocular pressure indicators of the affected eye, the patient’s disease belonging to the hereditary form of AMD, the presence of bad habits (smoking). It is shown that an increase in the height of pigment epithelial detachment (marker PED_H = 170 microns) by 1 micron, with other unchanged predictors, increases the ratio of the chance of a negative outcome to a positive one by 1%. At this marker value, the sensitivity of the poor response to angiostatic treatment was 0.493 and the specificity was 0.737. When intraretinal edema occurs, the ratio of the chance of a negative outcome to a positive outcome increases by 68 %. In conditions of increased intraocular pressure, the risk of a poor response increases by 4 times. The prognosis for a smoker is 30% worse compared to a nonsmoking patient. Hereditary AMD increases the risk of developing a poor response to treatment by 25 %. Conclusion. A logistic regression model of the disease is presented, which correctly predicts 94 % of non-response, which makes the prognosis reliable, reliable and accurate. Modifiable (smoking, PED_H > 170 microns, presence of IRF, increased IOP) and non-modifiable (hereditary norm of the disease) risk factors that are important in practical ophthalmology and increase the likelihood of developing an unfavorable outcome of angiostatic treatment were analyzed.https://www.ophthalmojournal.com/opht/article/view/2589macular neovascularizationretinal pigment epithelial abruptionantiangiogenic therapyrisk factorintraocular pressuresmoking
spellingShingle V. G. Likhvantseva
S. G. Kapkova
E. B. Tretyak
V. I. Naumova
H. M. Plieva
T. E. Borisenko
To Study the Role of Personalized Risk Factors for Poor Response to Angiostatic Therapy Based on Regression Models of the Disease
Oftalʹmologiâ
macular neovascularization
retinal pigment epithelial abruption
antiangiogenic therapy
risk factor
intraocular pressure
smoking
title To Study the Role of Personalized Risk Factors for Poor Response to Angiostatic Therapy Based on Regression Models of the Disease
title_full To Study the Role of Personalized Risk Factors for Poor Response to Angiostatic Therapy Based on Regression Models of the Disease
title_fullStr To Study the Role of Personalized Risk Factors for Poor Response to Angiostatic Therapy Based on Regression Models of the Disease
title_full_unstemmed To Study the Role of Personalized Risk Factors for Poor Response to Angiostatic Therapy Based on Regression Models of the Disease
title_short To Study the Role of Personalized Risk Factors for Poor Response to Angiostatic Therapy Based on Regression Models of the Disease
title_sort to study the role of personalized risk factors for poor response to angiostatic therapy based on regression models of the disease
topic macular neovascularization
retinal pigment epithelial abruption
antiangiogenic therapy
risk factor
intraocular pressure
smoking
url https://www.ophthalmojournal.com/opht/article/view/2589
work_keys_str_mv AT vglikhvantseva tostudytheroleofpersonalizedriskfactorsforpoorresponsetoangiostatictherapybasedonregressionmodelsofthedisease
AT sgkapkova tostudytheroleofpersonalizedriskfactorsforpoorresponsetoangiostatictherapybasedonregressionmodelsofthedisease
AT ebtretyak tostudytheroleofpersonalizedriskfactorsforpoorresponsetoangiostatictherapybasedonregressionmodelsofthedisease
AT vinaumova tostudytheroleofpersonalizedriskfactorsforpoorresponsetoangiostatictherapybasedonregressionmodelsofthedisease
AT hmplieva tostudytheroleofpersonalizedriskfactorsforpoorresponsetoangiostatictherapybasedonregressionmodelsofthedisease
AT teborisenko tostudytheroleofpersonalizedriskfactorsforpoorresponsetoangiostatictherapybasedonregressionmodelsofthedisease