目的:探讨与视力(VA)较差相关的临床危险因素和光学相干断层扫描(OCT)特征,疾病进展,脉络膜新生血管(CNV),和患有成人发作的窝孔状卵黄样营养不良(AOFVD)的眼睛萎缩。
方法:单中心,回顾性,观察性队列研究参与者:2012年1月至2023年5月在杜克大学眼科中心就诊的经OCT和眼底自发荧光确诊为AOFVD的患者.
方法:检查AOFVD患者眼睛的基线和最终就诊图像。疾病阶段被分配,并确定是否存在萎缩或CNV。使用t检验和卡方分析确定与萎缩和CNV进展相关的临床和OCT特征。使用线性回归确定与较低VA的相关性。
方法:临床特征和OCT特征与不良VA的关联,疾病进展,CNV,和由独立t检验确定的萎缩,卡方分析,线性回归(p<0.05)。
结果:101只眼(63例患者)符合本研究的纳入标准,平均随访时间48个月(SD31个月)。51%的眼睛在随访期间进展超过基线分期;在基线1期眼睛中,萎缩发生率为0.068/人年;CNV发生率为0.022/人年.最终VA较差的危险因素是玻璃体黄斑牵引(VMT)的基线存在(p=0.006),椭球区衰减(p=0.024),病变高度和宽度增加(p<0.001)。进展的预测因素包括糖尿病(p=0.012),使用他汀类药物(p=0.031),存在超反射焦点(p=0.012),病变宽度和体积增加(p=0.034,p=0.040)。萎缩的预测因素包括VMT的基线存在(p=0.018),脉络膜厚度降低(p=0.027),和更大的最大高度,宽度,和病变体积(分别为p=0.031,p=0.020,p=0.009)。较低的基线VA(p=0.031)和病变体积增加(p=0.042)与CNV相关。
结论:基线时的临床和OCT成像特征可能有助于对患者进展风险进行分层,萎缩,CNV,更糟糕的VA。使用他汀类药物等特点,糖尿病,基线VA,和侧向性应该被考虑。OCT特征,如病变大小,VMT,椭球区衰减,脉络膜厚度和高反射病灶可能导致不良结局的风险更大.需要考虑萎缩和CNV发展时间的未来前瞻性分析。
OBJECTIVE: To explore clinical risk factors and OCT features associated with worse visual acuity (VA), progression of disease, choroidal neovascularization (CNV), and atrophy in eyes with adult-onset foveomacular vitelliform dystrophy (AOFVD).
METHODS: Single-center, retrospective, observational cohort study.
METHODS: Patients seen at Duke Eye Center between January 2012 and May 2023 with a diagnosis of AOFVD confirmed via OCT and fundus autofluorescence.
METHODS: Baseline and final-visit images from eyes with AOFVD were examined. Disease stage was assigned, and presence of atrophy or CNV was determined. Clinical and OCT features associated with progression to atrophy and CNV were determined using t tests and chi-square analysis. Correlation with lower VA was determined using linear regression.
METHODS: Association of clinical characteristics and OCT features with worse VA, progression of disease, CNV, and atrophy as determined by independent t tests, chi-square analysis, and linear regression (P < 0.05).
RESULTS: One hundred one eyes (63 patients) met inclusion criteria for this study, with mean follow-up duration of 48 months (standard deviation, 31 months). Fifty-one percent of eyes progressed beyond baseline staging during follow-up; among baseline stage 1 eyes, incidence of atrophy was 0.068/person-year; incidence of CNV was 0.022/person-year. Risk factors for worse final VA were baseline presence of vitreomacular traction ([VMT], P = 0.006), ellipsoid zone attenuation (P = 0.02), and increased lesion height and width (P < 0.001). Predictors of progression include diabetes mellitus (P = 0.01), statin use (P = 0.03), presence of hyperreflective foci (P = 0.01), and increased lesion width and volume (P = 0.03 and P = 0.04, respectively). Predictors of atrophy include the baseline presence of VMT (P = 0.02), decreased choroidal thickness (P = 0.03), and greater maximal height, width, and volume of the lesion (P = 0.03, P = 0.02, and P = 0.009, respectively). Lower baseline VA (P = 0.03) and increased lesion volume (P = 0.04) were associated with CNV.
CONCLUSIONS: Clinical and OCT imaging features at baseline may prove useful in stratifying patient risk for progression, atrophy, CNV, and worse VA. Features such as statin use, diabetes, baseline VA, and laterality should be accounted for. OCT features, such as lesion size, VMT, ellipsoid zone attenuation, choroidal thickness, and hyperreflective foci, may impart greater risk of poor outcomes. Future prospective analysis accounting for the time to development of atrophy and CNV is needed.
BACKGROUND: Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.