Visual acuity (ETDRS scores) during the 24-month follow-up period (144 patients 165 eyes). Evolution of ETDRS score and SNELLEN scale from the initial visit and during the 24-month follow up period (144 patients 165 eyes).įigure 2. Quantitative variables are expressed as mean + Standard Deviation (SD) or as median with Confidence Interval 95%. Patients’ characteristics in the 2-year analysis (n=144). All the patients’ characteristics are detailed in table 1. Major medical histories were related to weak cardiovascular conditions, usually observed in elderly patients: i.e., arterial hypertension (54%), dyslipidemia (33%), and diabetes (17%). The population was characterized by a typical prevalence of women (67.36%) and older age (mean age 78.6 ± 8.2 years). Results 2-year resultsĭuring the study period, 144 consecutive patients (165 eyes) were included. The results of the multivariate analysis are presented as odds ratios (OR) with 95%CI.Īll statistical analyses were performed using SAS software version 9.1 (SAS Institute Inc., Cary, NC). In univariate analysis crude, comparisons regarding categorical variables were carried out using the χ²-test or the Fisher test. Independent factors for VA evolution were assessed using univariate analysis which was followed up with a multivariate analysis. The ETDRS scores at 4, 6, 8 and 12 months were significantly higher with AMD-dedicated vs standard consultations (p0.05 was considered statistically significant. The initial NV type did not affect AV evolution. Patients with induction phase had 3.5-times less chance of VA increase (p=0.0050). Induction phase did not significantly affect VA evolution (except at 6 months). R esults: Two-year analysis (n=144 patients): VA increased significantly between baseline and 6 months (p=0.0009 and p=0.0069). VA evolution and monitoring quality (FU number, IVI visit number) were analyzed up to 5 years.
The secondary objectives were to assess the role of the following parameters on VA evolution: Follow-up (FU) and IVI visit numbers, treatment adherence (or delay between FU and IVI), neo-vessel (NV) types, induction phase or not, AMD–dedicated or standard consultation and to identify predictive factors for VA change. The primary objective was to study VA evolution, assessed by ETDRS and Snellen equivalent, over time. Methods: All consecutive patients treated in the ophthalmologic department from August 2011 to August 2013 were retrospectively enrolled.Īll patients had PRN monthly monitoring, either during AMD–dedicated or standard consultations. The first step to setting up index-time search-as-you-type is to define our analysis chain, which we discussed in Configuring Analyzers, but we will go over the steps again here.Purpose: In this study we aimed to describe visual acuity (VA) evolution and assess the benefit of personalized monitoring in a population of patients treated in real life for wet age-related macular degeneration (AMD) with ranibizumab intravitreal injections (IVI) using pro re nata (PRN) regimen for 5 years. Elasticsearch - The Definitive Guide CNģ.1.1 Installing and Running Elasticsearchģ.4.2 How Primary and Replica Shards Interactģ.4.3 Creating, Indexing, and Deleting a DocumentĤ.3.4 Tuning Best Fields Queries 对最优字段查询进行微调Ĥ.3.7 Cross-fields Entity Search 对跨字段型实体进行搜索Ĥ.3.10 cross-fields Queries cross-fields查询Ĥ.3.11 Exact-Value Fields 当涉及到 Exact-Value 型字段时Ĥ.6.2 Lucene’s Practical Scoring FunctionĤ.6.4 Manipulating Relevance with Query Structureĥ.1.2 Configuring Language Analyzers 配置语言解析器ĥ.1.4 One Language per Document 单个文档对应一门主语言ĥ.2.3 Installing the ICU Plug-in 安装 ICU 插件ĥ.5 Stopwords: Performance Versus Precisionĥ.6.4 Synonyms and The Analysis Chain 同义词与解析器链ĥ.6.5 Multiword Synonyms and Phrase Queries 多词同义与短语查询ĩ Administration, Monitoring, and Deployment.
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