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Background: The low prevalence of rare diseases poses a significant challenge in advancing their understanding. This study aims to delineate the clinical and genetic characteristics of patients with rare eye diseases (RED) enrolled in the Spanish Rare Diseases Patient Registry., Methods: A total of 864 patients from the registry database were included. Diseases were categorized into inherited retinal dystrophies (n=688); anterior segment diseases (n=48); congenital malformations (n=27); and syndromic diseases with ocular involvement including muscular (n=46), neurological (n=34), or metabolic (n=13); inflammatory diseases (n=4); and tumors (n=4). Data on visual acuity (VA) and/or visual field (VF), symptoms and signs, concurrent diseases in syndromic cases, age of onset and at diagnosis, affected genes, disability rating, inability to work and dependency grade recognition were collected., Results: A mean diagnostic delay of 7 years from symptom onset was observed. Commonly reported symptoms included photophobia, night blindness, and progressive vision loss (≥57% of patients). Cataract was the most prevalent secondary disease (46%), with pseudophakia being the most common ocular surgery (26%). Hearing loss and cardiovascular diseases were the most prevalent concurrent systemic diseases (≥13%). Certificates of disability, incapacity for work, and dependency were held by 87%, 42%, and 19% of patients, respectively. Among the 719 patients with available VA data, 193 (27%) were blind, and 188 (26%) had moderate to severe visual impairment. Over half of the patients (54%) exhibited VF defects, and 216 (25%) had concentric contraction ≤5° or abolished VF. Most had genetic diseases with autosomal recessive (55%), autosomal dominant (30%), X-linked (9%), and mitochondrial (6%) patterns. One patient had mutations in both recessive USH2A and dominant RHO genes simultaneously. Of the 656 patients (75.7%) who underwent genetic testing, only 461 (70.3%) received a positive result (pathogenic or likely pathogenic mutations explaining the phenotype). We found 62 new gene variants related to RED not previously reported in databases of genetic variants related to specific phenotypes., Conclusions: This study delineates the clinical and genotypic profiles of RED in Spain. Genetic diseases, particularly retinal disorders, predominate, but a significant proportion of affected patients remain genetically undiagnosed, hindering potential gene therapy endeavors. Despite notable improvements in reducing diagnosis delays, it is still remarkable. RED frequently lead to disability and blindness among young populations., (© 2024. The Author(s).)

Over half of all persons with rare diseases (RDs) in Spain experience diagnostic delay (DD) but little is known about its consequences. This study therefore aimed to analyze the psychological impact of obtaining a diagnosis of an RD, and to ascertain what social determinants are influenced and what the personal consequences are, according to whether or not patients experienced DD. Data were obtained from a purpose-designed form completed by persons registered at the Spanish Rare Diseases Patient Registry. The following were performed: a descriptive analysis; a principal component analysis (PCA); and logistic regressions. Results revealed that while searching for a diagnosis, people who experienced DD were more in need of psychological care than those diagnosed in less than one year (36.2% vs 23.2%; p = 0.002; n = 524). The PCA identified three principal components, i.e., psychological effects, social implications, and functional impact. Reducing DD would improve psychological effects, such as irritability (OR 3.6; 95%CI 1.5-8.5), frustration (OR 3.4; 95%CI 1.7-7.1) and concentration on everyday life (OR 3.3; 95%CI 1.4-7.7). The influence of the social implications and functional repercussions of the disease was greater in persons with DD (scores of 22.4 vs 20 and 10.6 vs 9.4, respectively) in terms of the difficulty in explaining symptoms to close friends and family (3.3 vs 2.9), and loss of independence (3.3 vs 2.9). In conclusion, this is the first study to analyze the psychosocial impact of diagnosis of RDs in Spain and one of few to assess it in the patients themselves, based on data drawn from a purpose-designed form from a national registry open to any RD. People affected by RDs who underwent DD experienced greater psychosocial impact than did those who were diagnosed within the space of one year., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2023 Benito-Lozano et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Background: According to the International Rare Diseases Research Consortium (IRDiRC), a known rare disease (RD) should be diagnosable within a year. This study sought: firstly, to ascertain how long it takes to obtain the diagnosis of a RD in Spain, along with its associated time trend; and secondly, to identify and measure diagnostic delay (defined by the IRDiRC as any period exceeding a year) by reference to the characteristics of RDs and the persons affected by them., Methods: Using data sourced from the Spanish Rare Diseases Patient Registry, we performed a descriptive analysis of the time elapsed between symptom onset and diagnosis of each RD, by sex, age and date of symptom onset, and type of RD. We analysed the time trend across the period 1960-2021 and possible change points, using a Joinpoint regression model and assuming a Poisson distribution. The multivariate analysis was completed with backward stepwise logistic regression., Results: Detailed information was obtained on 3304 persons with RDs: 56.4% had experienced delay in diagnosis of their RDs, with the mean time taken being 6.18 years (median = 2; IQR 0.2-7.5). Both the percentage of patients with diagnostic delay and the average time to diagnosis underwent a significant reduction across the study period (p < 0.001). There was a higher percentage of diagnostic delays: in women (OR 1.25; 95% CI 1.07-1.45); in cases with symptom onset at age 30-44 years (OR 1.48; 95% CI 1.19-1.84): and when analysed by type of RD, in mental and behavioural disorders (OR 4.21; 95% CI 2.26-7.85), followed by RDs of the nervous system (OR 1.39; 95% CI 1.02-1.88)., Conclusions: This is the first study to quantify time to diagnosis of RDs in Spain, based on data from a national registry open to any RD. Since over half of all persons affected by RDs experience delay in diagnosis, new studies are needed to ascertain the factors associated with this delay and the implications this has on the lives of patients and their families., (© 2022. The Author(s).)

Rare disease patients are more likely to receive a rapid molecular diagnosis nowadays thanks to the wide adoption of next-generation sequencing. However, many cases remain undiagnosed even after exome or genome analysis, because the methods used missed the molecular cause in a known gene, or a novel causative gene could not be identified and/or confirmed. To address these challenges, the RD-Connect Genome-Phenome Analysis Platform (GPAP) facilitates the collation, discovery, sharing, and analysis of standardized genome-phenome data within a collaborative environment. Authorized clinicians and researchers submit pseudonymised phenotypic profiles encoded using the Human Phenotype Ontology, and raw genomic data which is processed through a standardized pipeline. After an optional embargo period, the data are shared with other platform users, with the objective that similar cases in the system and queries from peers may help diagnose the case. Additionally, the platform enables bidirectional discovery of similar cases in other databases from the Matchmaker Exchange network. To facilitate genome-phenome analysis and interpretation by clinical researchers, the RD-Connect GPAP provides a powerful user-friendly interface and leverages tens of information sources. As a result, the resource has already helped diagnose hundreds of rare disease patients and discover new disease causing genes., (© 2022 The Authors. Human Mutation published by Wiley Periodicals LLC.)

Many people living with rare disease (RD) report a difficult diagnostic process from the symptom onset until they obtain the definitive diagnosis. The aim of this study was thus to ascertain the diagnostic process in RDs, and explore the determinants related with having to wait for more than one year in this process (defined as "diagnostic delay"). We conducted a case-control study, using a purpose-designed form from the Spanish Rare Diseases Patient Registry for data-collection purposes. A descriptive analysis was performed and multivariate backward logistic regression models fitted. Based on data on 1216 patients living with RDs, we identified a series of determinants associated with experiencing diagnostic delay. These included: having to travel to see a specialist other than that usually consulted in the patient's home province (OR 2.1; 95%CI 1.6-2.9); visiting more than 10 specialists (OR 2.6; 95%CI 1.7-4.0); being diagnosed in a region other than that of the patient's residence at the date of symptom onset (OR 2.3; 95%CI 1.5-3.6); suffering from a RD of the nervous system (OR 1.4; 95%CI 1.0-1.8). In terms of time taken to see a specialist, waiting more than 6 months to be referred from the first medical visit was the period of time which most contributed to diagnostic delay (PAR 30.2%). In conclusion, this is the first paper to use a collaborative study based on a nationwide registry to address the diagnostic process of patients living with RDs. While the evidence shows that the diagnostic process experienced by these persons is complex, more studies are needed to determine the implications that this has for their lives and those of their families at a social, educational, occupational, psychological, and financial level.

This study aimed to analyse population-based mortality attributed to rare congenital anomalies (CAs) and assess the associated time trends and geographical differences in Spain. Data on CA-related deaths were sourced from annual mortality databases kept by the National Statistics Institute of Spain (1999⁻2013). Based on the ICD-10, only CAs corresponding to rare diseases definition were included in this study. Annual age-adjusted mortality rates were calculated and time trends were evaluated by joinpoint regression analysis. Geographical differences were assessed using standardised mortality ratios and cluster detection. A total of 13,660 rare-CA-related deaths (53.4% males) were identified in the study period. Annual age-adjusted mortality rates decreased by an average of -5.2% (-5.5% males, -4.8% females, p < 0.001). Geographical analysis showed a higher risk of rare-CA-related mortality in regions largely located in the south of the country. Despite their limitations, mortality statistics are essential and useful tools for enhancing knowledge of rare disease epidemiology and, by extension, for designing and targeting public health actions. Monitoring rare-CA-related mortality in Spain has shown a 15-year decline and geographical differences in the risk of death, all of which might well be taken into account by the health authorities in order to ensure equality and equity, and to adopt appropriate preventive measures.

Rare diseases (RD) patient registries are powerful instruments that help develop clinical research, facilitate the planning of appropriate clinical trials, improve patient care, and support healthcare management. They constitute a key information system that supports the activities of European Reference Networks (ERNs) on rare diseases. A rapid proliferation of RD registries has occurred during the last years and there is a need to develop guidance for the minimum requirements, recommendations and standards necessary to maintain a high-quality registry. In response to these heterogeneities, in the framework of RD-Connect, a European platform connecting databases, registries, biobanks and clinical bioinformatics for rare disease research, we report on a list of recommendations, developed by a group of experts, including members of patient organizations, to be used as a framework for improving the quality of RD registries. This list includes aspects of governance, Findable, Accessible, Interoperable and Reusable (FAIR) data and information, infrastructure, documentation, training, and quality audit. The list is intended to be used by established as well as new RD registries. Further work includes the development of a toolkit to enable continuous assessment and improvement of their organizational and data quality.

In rare disease (RD) research, there is a huge need to systematically collect biomaterials, phenotypic, and genomic data in a standardized way and to make them findable, accessible, interoperable and reusable (FAIR). RD-Connect is a 6 years global infrastructure project initiated in November 2012 that links genomic data with patient registries, biobanks, and clinical bioinformatics tools to create a central research resource for RDs. Here, we present RD-Connect Registry & Biobank Finder, a tool that helps RD researchers to find RD biobanks and registries and provide information on the availability and accessibility of content in each database. The finder concentrates information that is currently sparse on different repositories (inventories, websites, scientific journals, technical reports, etc.), including aggregated data and metadata from participating databases. Aggregated data provided by the finder, if appropriately checked, can be used by researchers who are trying to estimate the prevalence of a RD, to organize a clinical trial on a RD, or to estimate the volume of patients seen by different clinical centers. The finder is also a portal to other RD-Connect tools, providing a link to the RD-Connect Sample Catalogue, a large inventory of RD biological samples available in participating biobanks for RD research. There are several kinds of users and potential uses for the RD-Connect Registry & Biobank Finder, including researchers collaborating with academia and the industry, dealing with the questions of basic, translational, and/or clinical research. As of November 2017, the finder is populated with aggregated data for 222 registries and 21 biobanks.

Members of the rare disease community have devoted significant financial and personnel resources to address the numerous issues surrounding rare diseases. The past has been devoted to developing an emphasis on rare diseases including an emphasis on research studies or locating information on rare diseases and the requirements and limitations of conducting clinical trials with small patient populations. The expanded role of patient advocacy organizations and patient engagement in all aspects of clinical research continues to gain acceptance within the research community. The future will require a greater understanding and interpretation of available information from multiple sources including electronic health records and big data sources. The pipeline of potential orphan products continues to grow significantly and holds great promise for novel interventions due to advances in clinical trial design and data analyses. Expanding diagnostic procedures with improved sequencing methods will speed up the diagnosis or rare diseases. Accepting agreed upon nomenclature and codification of rare diseases will assist in differentiating diseases and identifying selected sub-populations of rare diseases. Improvements in patient recruitment and increased flexibility in the product review and approval procedures by regulatory agencies will facilitate product approvals. Children particularly will need help and assistance dealing with feelings of isolation from their peers due to their rare disease. During the transition from childhood to adolescence to adult, difficulties of fitting in with peers and not wanting to be different are a major concern. In response to increasing costs of treatments, Value-Based Care is gaining greater acceptance by the reimbursement and the payer community as a basis for payment for interventions. Mobile Health (M-health) Technologies have the potential to revolutionize how clinical research is conducted in the future. Wearable devices, remote sensors, and the development of mobile device applications (apps) will all assist in constant monitoring of patients for safety and efficacy of approved and investigational compounds. Tele Health and Tele Medicine may provide the necessary access to expert clinicians with a better understanding of individual rare diseases. The future promises great advances and even greater personalized treatments with the introduction of novel treatments and approaches to care.

Public health relies on technologies to produce and analyse data, as well as effectively develop and implement policies and practices. An example is the public health practice of epidemiology, which relies on computational technology to monitor the health status of populations, identify disadvantaged or at risk population groups and thereby inform health policy and priority setting. Critical to achieving health improvements for the underserved population of people living with rare diseases is early diagnosis and best care. In the rare diseases field, the vast majority of diseases are caused by destructive but previously difficult to identify protein-coding gene mutations. The reduction in cost of genetic testing and advances in the clinical use of genome sequencing, data science and imaging are converging to provide more precise understandings of the 'person-time-place' triad. That is: who is affected (people); when the disease is occurring (time); and where the disease is occurring (place). Consequently we are witnessing a paradigm shift in public health policy and practice towards 'precision public health'.Patient and stakeholder engagement has informed the need for a national public health policy framework for rare diseases. The engagement approach in different countries has produced highly comparable outcomes and objectives. Knowledge and experience sharing across the international rare diseases networks and partnerships has informed the development of the Western Australian Rare Diseases Strategic Framework 2015-2018 (RD Framework) and Australian government health briefings on the need for a National plan.The RD Framework is guiding the translation of genomic and other technologies into the Western Australian health system, leading to greater precision in diagnostic pathways and care, and is an example of how a precision public health framework can improve health outcomes for the rare diseases population.Five vignettes are used to illustrate how policy decisions provide the scaffolding for translation of new genomics knowledge, and catalyze transformative change in delivery of clinical services. The vignettes presented here are from an Australian perspective and are not intended to be comprehensive, but rather to provide insights into how a new and emerging 'precision public health' paradigm can improve the experiences of patients living with rare diseases, their caregivers and families.The conclusion is that genomic public health is informed by the individual and family needs, and the population health imperatives of an early and accurate diagnosis; which is the portal to best practice care. Knowledge sharing is critical for public health policy development and improving the lives of people living with rare diseases.

Official mortality statistics provide population-based data and serve to improve epidemiological knowledge of rare diseases (RDs), by helping with the description of the natural history of the disease. They are an important complement of registries and estimates of disease burden and costs. At the same time, they heighten both the visibility of these diseases and the interest in their study and the search for treatments that may increase survival. This chapter contains a European analysis of hereditary ataxia mortality, which considers the time trend in different countries and the geographical variability in risk of death. Despite the limitations of applying this data source to RDs, mortality statistics share criteria which facilitate international comparisons and are of great utility for obtaining sufficiently uniform and robust time series for analysis of low-prevalence diseases.

In the field of rare diseases, registries are considered power tool to develop clinical research, to facilitate the planning of appropriate clinical trials, to improve patient care and healthcare planning. Therefore high quality data of rare diseases registries is considered to be one of the most important element in the establishment and maintenance of a registry. Data quality can be defined as the totality of features and characteristics of data set that bear on its ability to satisfy the needs that result from the intended use of the data. In the context of registries, the 'product' is data, and quality refers to data quality, meaning that the data coming into the registry have been validated, and ready for use for analysis and research. Determining the quality of data is possible through data assessment against a number of dimensions: completeness, validity; coherence and comparability; accessibility; usefulness; timeliness; prevention of duplicate records. Many others factors may influence the quality of a registry: development of standardized Case Report Form and security/safety controls of informatics infrastructure. With the growing number of rare diseases registries being established, there is a need to develop a quality validation process to evaluate the quality of each registry. A clear description of the registry is the first step when assessing data quality or the registry evaluation system. Here we report a template as a guide for helping registry owners to describe their registry.

Despite growing acceptance of patient registries and natural history studies to provide useful information, the rare disease community suffers from the absence of reliable epidemiological data on the prevalence and incidence of most rare diseases in national and global populations. Likewise, the patients and health care providers lack adequate information on the pathophysiology of rare diseases and expected outcomes of these disorders. The rare diseases community includes all of the stakeholders involved in the research and development and dissemination of products and information for the diagnosis, prevention or treatment of rare diseases or conditions. To replace many of the perceptions with realities, several global efforts have been implemented to sustain and increase the reported progress with the thousands of rare diseases. The first efforts is to develop a global research infrastructure of qualified investigators to stimulate and coordinate research efforts by seeking ways to provide access to clinical trials at multi-national research sites with common protocols and multi-disciplinary research teams. Next, is the continued identification and expansion of worldwide partnerships and collaborations of Patient Advocacy Groups (PAGs), research investigators, the biopharmaceutical and medical devices industries, and the government research and regulatory agencies for a specific rare disease or group of related diseases. Gaining access to information about rare diseases, patient advocacy groups, ongoing and planned research studies and products in research protocols continue to improve the lives of patients and their families. Many basic, clinical and translational research investigators, public and private sector funding organizations, patient advocacy groups, foundations, and the pharmaceutical, biotechnology, and medical devices industries are committed to translating research discoveries that will be useful in the treatment and care of patients with rare diseases over their lifespan. Evidence from well-constructed epidemiological studies will provide the evidence that point to the value of additional clinical studies to increase the understanding of rare diseases.

Well-annotated and properly preserved specimens are crucial both for diagnostic purposes and for use in basic and pre-clinical research, and are especially important for rare disease (RD) studies. Several consortia have been established in the recent years in order to facilitate research and to maximise access to rare biological samples and data stored in rare disease biobanks and registries, among them the EuroBioBank network and the Spain National Rare Disease Registry (RDR) and Biobank (BioNER).EuroBioBank, established in 2001, was the first network of RD biobanks to operate in Europe as a service distributing human DNA, cells, and tissue to the scientific community conducting research on rare diseases.The Spanish RDR and BioNER were created for facilitating rare disease research and health-related matters. The coordination of these two bodies represents an example of great scientific value as biological samples donated by patients at BioNER are linked to clinical information collected in the RDR.Rare disease biobanks and registries will need for the future to increase their effort to improve interconnection so to enable investigators to better locate samples and associated data, while protecting security of the data and privacy of the participants and adhering to international ethical and legal requirements.

This work summarizes the main aspects to be considered around birth defects (or congenital anomalies) clusters. Most birth defects (BD), considered individually, fall into the definition of rare diseases (RD), according to their low frequency. Likewise, many RD are congenital, because their manifestations are present at birth or can be even evident before the delivery. It has been estimated that overall 7.9 million children are born each year with serious BD of genetic or partially genetic origin, and additional hundreds of thousands more are born with serious BD of post-conception origin.A "birth defect cluster" can be defined as an unusual aggregation of cases (grouped in place and time) that is suspected to be greater than expected, even though the expected number may not be known. These clusters are incidents or occurrences that let us turn the challenge of identifying the causal agent(s) involved in the origin of such clusters, into an opportunity to exert primary prevention, and thus achieve the ultimate goal of enabling infants being born healthy. Therefore, any program or system involved in BD surveillance and research should devote part of its activities to detect and investigate clusters, to ensure that such opportunity for primary prevention will be conveniently leveraged. Regardless the type of cluster, there are several phases that must be undertaken sequentially for proper control and the maximum benefit for the population: cluster detection, evaluation and investigation, management, adoption of preventive measures, and communication of the results to the public or target population.

Background: The focus on the quality of the procedures for data collection, storing, and analysis in the definition and implementation of a rare disease registry (RDR) is the basis for developing a valid and long-term sustainable tool. The aim of this study was to provide useful information for characterizing a quality profile for RDRs using an analytical approach applied to RDRs participating in the European Platform for Rare Disease Registries 2011-2014 (EPIRARE) survey., Methods: An indicator of quality was defined by choosing a small set of quality-related variables derived from the survey. The random forest method was used to identify the variables best defining a quality profile for RDRs. Fisher's exact test was employed to assess the association with the indicator of quality, and the Cochran-Armitage test was used to check the presence of a linear trend along different levels of quality., Results: The set of variables found to characterize high-quality RDRs focused on ethical and legal issues, governance, communication of activities and results, established procedures to regulate access to data and security, and established plans to ensure long-term sustainability., Conclusions: The quality of RDRs is usually associated with a good oversight and governance mechanism and with durable funding. The results suggest that RDRs would benefit from support in management, information technology, epidemiology, and statistics., (© 2016 S. Karger AG, Basel.)

This report describes the general characteristics, objectives and organizational aspects of the registries of rare respiratory diseases included in the National Registry of Rare Diseases of the Research Institute for Rare Diseases (ISCIII), in order to publicize their existence and encourage the participation of professionals. Information is collected on the following conditions: alpha-1 antitrypsin deficiency, idiopathic tracheal stenosis, adult pulmonary Langerhans' cell histiocytosis, lymphangioleiomyomatosis, alveolar proteinosis, and sarcoidosis., (Copyright © 2013 SEPAR. Published by Elsevier Espana. All rights reserved.)

Objectives: The BURQOL-RD project is intended to develop a disease based model capable of quantifying the socio-economic burden and health-related quality of life for patients with rare diseases (RDs) and their caregivers in Europe. We described the methodology used to select a set of 10 RDs to be approached in a pilot study., Methods: BURQOL-RD project includes 23 partners from 8 European countries: Spain, UK, France, Germany, Sweden, Italy, Hungary and Bulgaria. A two-round Delphi panels in combination with Carroll diagram was used to generate consensus in the selection of the 10 RDs among the project participants., Results: The two Delphi rounds yielded a prioritised list, to which the Carroll diagram was applied, taking into account three determinants: prevalence, availability of effective treatment and need for carer. The final set of RD to be studied was obtained: cystic fibrosis, Prader-Willi syndrome, haemophilia, duchenne muscular dystrophy, epidermolysis bullosa, fragile X syndrome, scleroderma, mucopolysaccharidosis, juvenile idiopathic arthritis and histiocytosis., Conclusions: This methodology permitted the generation of an equilibrated set of RDs for the pilot study of BURQOL-RD project. The model will be suitable for application in a wide range of RDs., (Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.)

Background: The use of tools such as disease registries poses a problem in the case of rare diseases. This study is aimed at describing the current situation concerning rare disease registries in Spain., Methods: The information provided by two Spanish health registries directories prepared by the Spanish Health Assessment Technologies Agencies are employed, a descriptive cross-sectional study being conducted. The registries identified in these directories has been classified as: (1) "Specific rare diseases" (2) "Unspecific but with information on rare disease and (3) "Non-informative regarding rare diseases"., Results: The 2000 directory listed 82 registries, 15.8% of which were classified under Group 1, whilst a total of 107 registries, 16.8% in Group 1, were identified in the 2005 review. The main health registries in Group 2, by topic, were: cancer, mortality, psychiatry and nephrology. No general rare disease registries were found in the directories., Conclusions: Although few in number, health registries do exist in Spain including information on rare diseases. Areas have been identified by topic lacking registries and also information systems or registries unidentified in the sources used. Continuing efforts must be made to improve the information available on rare diseases.

Background and Objective: To analyze the Spanish scientific production in a group of rare diseases selected during the period 1990-2000., Material and Method: Analysis of the following disease groups: congenital anomalies, metabolism inborn errors and primary immunodeficiencies. Bibliometric tools were used to assess and analyze the evolution of research in this area. The MEDLINE database was utilized for references search., Results: Total references recovered for the study were 2978: 82.5% original articles and 17.3% reviews. The number of authors was 14,752 and the mean author/article was 4.9%. Seven types of institutions were coded with hospitals being the most productive with 78% of articles published. The Bradford nucleus was formed by 1,288 articles and 43.2% of the total had been published in 12 journals (2.1%)., Conclusions: Despite rare diseases research is still scarce, important efforts have been made at a national level focused on the development and strengthening of research in this field. Nevertheless, it is necessary to join efforts in this field to facilitate an appropriate research policy making that may help improve the current status.

Background: The low prevalence of rare diseases poses a significant challenge in advancing their understanding. This study aims to delineate the clinical and genetic characteristics of patients with rare eye diseases (RED) enrolled in the Spanish Rare Diseases Patient Registry. Methods: A total of 864 patients from the registry database were included. Diseases were categorized into inherited retinal dystrophies (n=688); anterior segment diseases (n=48); congenital malformations (n=27); and syndromic diseases with ocular involvement including muscular (n=46), neurological (n=34), or metabolic (n=13); inflammatory diseases (n=4); and tumors (n=4). Data on visual acuity (VA) and/or visual field (VF), symptoms and signs, concurrent diseases in syndromic cases, age of onset and at diagnosis, affected genes, disability rating, inability to work and dependency grade recognition were collected. Results: A mean diagnostic delay of 7 years from symptom onset was observed. Commonly reported symptoms included photophobia, night blindness, and progressive vision loss (≥57% of patients). Cataract was the most prevalent secondary disease (46%), with pseudophakia being the most common ocular surgery (26%). Hearing loss and cardiovascular diseases were the most prevalent concurrent systemic diseases (≥13%). Certificates of disability, incapacity for work, and dependency were held by 87%, 42%, and 19% of patients, respectively. Among the 719 patients with available VA data, 193 (27%) were blind, and 188 (26%) had moderate to severe visual impairment. Over half of the patients (54%) exhibited VF defects, and 216 (25%) had concentric contraction ≤5° or abolished VF. Most had genetic diseases with autosomal recessive (55%), autosomal dominant (30%), X-linked (9%), and mitochondrial (6%) patterns. One patient had mutations in both recessive USH2A and dominant RHO genes simultaneously. Of the 656 patients (75.7%) who underwent genetic testing, only 461 (70.3%) received a positive result (pathogenic or likely pathogenic mutations explaining the phenotype). We found 62 new gene variants related to RED not previously reported in databases of genetic variants related to specific phenotypes. Conclusions: This study delineates the clinical and genotypic profiles of RED in Spain. Genetic diseases, particularly retinal disorders, predominate, but a significant proportion of affected patients remain genetically undiagnosed, hindering potential gene therapy endeavors. Despite notable improvements in reducing diagnosis delays, it is still remarkable. RED frequently lead to disability and blindness among young populations. [ABSTRACT FROM AUTHOR]

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Inclusive education of disabled students has been promoted in European disability policies. However, the transition process from more segregated system is slow. The purpose of this study was to provide an insight about different types of schooling of disabled children affected by a rare disease across Europe and to evaluate their and caregivers' well-being. We analysed data from a cross-sectional study (BURQOL-RD) of persons with rare diseases that cause intellectual and/or physical disability: Prader-Willi syndrome, fragile X syndrome, three types of mucopolysaccharidosis and Duchenne muscular dystrophy. The sample consisted of 359 children aged 6–17 and 269 caregivers from eight European countries. Results showed differences between countries in proportion of students placed in special schools, which are still valid option in countries such as Germany, France or UK. Within the inclusive education modalities, lack of special support for disabled students was observed especially in low-income countries. No association between the type of schooling and quality of life was observed, but the subjective caregivers' burden seems to be higher in special schools. The study shows existent differences in implementation of inclusive education in Europe. More research is needed in the field of rare disease disability and educational needs. [ABSTRACT FROM AUTHOR]