Rania E Gad, Andres Serrano, Alexis Dal Col, Rachel Kutler, Danielle Trief, Weijie V Lin, Gabriel Rand, George J Florakis, Leejee H Suh
{"title":"纽约市一家三级中心的角膜病(严重程度、治疗和进展)社会人口学预测因素。","authors":"Rania E Gad, Andres Serrano, Alexis Dal Col, Rachel Kutler, Danielle Trief, Weijie V Lin, Gabriel Rand, George J Florakis, Leejee H Suh","doi":"10.1097/ICO.0000000000003749","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>To identify sociodemographic factors as predictors of keratoconus severity, progression, disease outcomes, and appropriate management in a tertiary care ophthalmology institute in the New York City metropolitan area.</p><p><strong>Methods: </strong>This is a retrospective chart review. Patients with keratoconus presenting at a tertiary eye institute in an urban setting seen between 2015 and 2022 were included. Sociodemographic data including age, sex, race, ethnicity, income derived from zip code, insurance coverage, and preferred language were recorded. These sociodemographic factors were analyzed as possible predictors of keratoconus severity at presentation (Amsler-Krumeich grades III and IV): patients presenting with acute hydrops, patients receiving corneal cross-linking or corneal transplant, patients showing 1 or more diopters of increase of Kmax during their follow-up, and patients having longer time between the provider's recommendation of corneal cross-linking and the time of the procedure.</p><p><strong>Results: </strong>The retrospective review included 634 patients with a clinical diagnosis of keratoconus. Factors associated with severe keratoconus at presentation in the multivariate analysis were non-White (P < 0.001), lowest income (Q1) (P = 0.018), Q2 income (P = 0.012), and having Medicaid/Medicare coverage (P = 0.021). Medicaid/Medicare coverage was the only factor associated with acute hydrops (P < 0.001), and younger age was the only factor associated with disease progression (P < 0.001). Younger patients and patients with commercial insurance coverage were more likely to receive corneal collagen cross-linking (P < 0.001 and P < 0.001, respectively), whereas patients with Medicaid/Medicare coverage, lowest income, and non-White race were more likely to receive corneal transplantation (P = 0.012, P = 0.062, and P = 0.028, respectively). Medicaid/Medicare was the only factor associated with delay in receiving corneal collagen cross-linking (P = 0.013).</p><p><strong>Conclusions: </strong>Our study demonstrates that there are sociodemographic predictors of keratoconus disease severity, progression, and the type and the time of treatment the patients received. This confirms eye health disparities among patients with keratoconus.</p>","PeriodicalId":10710,"journal":{"name":"Cornea","volume":" ","pages":""},"PeriodicalIF":1.9000,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Sociodemographic Predictors of Keratoconus (Severity, Treatment, and Progression) in a Tertiary Center in New York City.\",\"authors\":\"Rania E Gad, Andres Serrano, Alexis Dal Col, Rachel Kutler, Danielle Trief, Weijie V Lin, Gabriel Rand, George J Florakis, Leejee H Suh\",\"doi\":\"10.1097/ICO.0000000000003749\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Purpose: </strong>To identify sociodemographic factors as predictors of keratoconus severity, progression, disease outcomes, and appropriate management in a tertiary care ophthalmology institute in the New York City metropolitan area.</p><p><strong>Methods: </strong>This is a retrospective chart review. Patients with keratoconus presenting at a tertiary eye institute in an urban setting seen between 2015 and 2022 were included. Sociodemographic data including age, sex, race, ethnicity, income derived from zip code, insurance coverage, and preferred language were recorded. These sociodemographic factors were analyzed as possible predictors of keratoconus severity at presentation (Amsler-Krumeich grades III and IV): patients presenting with acute hydrops, patients receiving corneal cross-linking or corneal transplant, patients showing 1 or more diopters of increase of Kmax during their follow-up, and patients having longer time between the provider's recommendation of corneal cross-linking and the time of the procedure.</p><p><strong>Results: </strong>The retrospective review included 634 patients with a clinical diagnosis of keratoconus. Factors associated with severe keratoconus at presentation in the multivariate analysis were non-White (P < 0.001), lowest income (Q1) (P = 0.018), Q2 income (P = 0.012), and having Medicaid/Medicare coverage (P = 0.021). Medicaid/Medicare coverage was the only factor associated with acute hydrops (P < 0.001), and younger age was the only factor associated with disease progression (P < 0.001). Younger patients and patients with commercial insurance coverage were more likely to receive corneal collagen cross-linking (P < 0.001 and P < 0.001, respectively), whereas patients with Medicaid/Medicare coverage, lowest income, and non-White race were more likely to receive corneal transplantation (P = 0.012, P = 0.062, and P = 0.028, respectively). 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引用次数: 0
摘要
目的:在纽约市大都会地区的一家三级眼科医疗机构中,确定预测角膜炎严重程度、病情发展、疾病结果和适当管理的社会人口因素:这是一项回顾性病历审查。方法:这是一项回顾性病历审查,纳入了 2015 年至 2022 年期间在一家城市三级眼科研究所就诊的角膜炎患者。记录的社会人口学数据包括年龄、性别、种族、民族、来自邮政编码的收入、保险范围和首选语言。对这些社会人口学因素进行了分析,以预测就诊时角膜病的严重程度(Amsler-Krumeich III 级和 IV 级):出现急性角膜积水的患者、接受角膜交联或角膜移植的患者、随访期间 Kmax 上升 1 个或 1 个以上斜度的患者,以及从医生建议角膜交联到手术时间较长的患者:这项回顾性研究共纳入了 634 名临床诊断为角膜炎的患者。在多变量分析中,与发病时严重角膜炎相关的因素有:非白人(P < 0.001)、最低收入(Q1)(P = 0.018)、Q2 收入(P = 0.012)和医疗补助/医疗保险(P = 0.021)。医疗补助/医疗保险是唯一与急性肾积水相关的因素(P < 0.001),年龄较小是唯一与疾病进展相关的因素(P < 0.001)。年轻患者和有商业保险的患者更有可能接受角膜胶原交联术(分别为 P < 0.001 和 P < 0.001),而有医疗补助/医疗保险、最低收入和非白人种族的患者更有可能接受角膜移植术(分别为 P = 0.012、P = 0.062 和 P = 0.028)。医疗补助/医疗保险是唯一与延迟接受角膜胶原交联术有关的因素(P = 0.013):我们的研究表明,社会人口学因素可预测角膜病的严重程度、病情发展以及患者接受治疗的类型和时间。这证实了角膜炎患者的眼健康存在差异。
Sociodemographic Predictors of Keratoconus (Severity, Treatment, and Progression) in a Tertiary Center in New York City.
Purpose: To identify sociodemographic factors as predictors of keratoconus severity, progression, disease outcomes, and appropriate management in a tertiary care ophthalmology institute in the New York City metropolitan area.
Methods: This is a retrospective chart review. Patients with keratoconus presenting at a tertiary eye institute in an urban setting seen between 2015 and 2022 were included. Sociodemographic data including age, sex, race, ethnicity, income derived from zip code, insurance coverage, and preferred language were recorded. These sociodemographic factors were analyzed as possible predictors of keratoconus severity at presentation (Amsler-Krumeich grades III and IV): patients presenting with acute hydrops, patients receiving corneal cross-linking or corneal transplant, patients showing 1 or more diopters of increase of Kmax during their follow-up, and patients having longer time between the provider's recommendation of corneal cross-linking and the time of the procedure.
Results: The retrospective review included 634 patients with a clinical diagnosis of keratoconus. Factors associated with severe keratoconus at presentation in the multivariate analysis were non-White (P < 0.001), lowest income (Q1) (P = 0.018), Q2 income (P = 0.012), and having Medicaid/Medicare coverage (P = 0.021). Medicaid/Medicare coverage was the only factor associated with acute hydrops (P < 0.001), and younger age was the only factor associated with disease progression (P < 0.001). Younger patients and patients with commercial insurance coverage were more likely to receive corneal collagen cross-linking (P < 0.001 and P < 0.001, respectively), whereas patients with Medicaid/Medicare coverage, lowest income, and non-White race were more likely to receive corneal transplantation (P = 0.012, P = 0.062, and P = 0.028, respectively). Medicaid/Medicare was the only factor associated with delay in receiving corneal collagen cross-linking (P = 0.013).
Conclusions: Our study demonstrates that there are sociodemographic predictors of keratoconus disease severity, progression, and the type and the time of treatment the patients received. This confirms eye health disparities among patients with keratoconus.
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