European Recommendations for Primary Prevention of Congenital Anomalies: A Joined Effort of EUROCAT and EUROPLAN Projects to Facilitate Inclusion of This Topic in the National Rare Disease Plans

Congenital anomalies (CA) are the paradigm example of rare diseases liable to primary prevention actions due to the multifactorial etiology of many of them, involving a number of environmental factors together with genetic predispositions. Yet despite the preventive potential, lack of attention to an integrated preventive strategy has led to the prevalence of CA remaining relatively stable in recent decades. The 2 European projects, EUROCAT and EUROPLAN, have joined efforts to provide the first science-based and comprehensive set of recommendations for the primary prevention of CA in the European Union. The resulting EUROCAT-EUROPLAN 'Recommendations on Policies to Be Considered for the Primary Prevention of Congenital Anomalies in National Plans and Strategies on Rare Diseases' were issued in 2012 and endorsed by EUCERD (European Union Committee of Experts on Rare Diseases) in 2013. The recommendations exploit interdisciplinary expertise encompassing drugs, diet, lifestyles, maternal health status, and the environment. The recommendations include evidence-based actions aimed at reducing risk factors and at increasing protective factors and behaviors at both individual and population level. Moreover, consideration is given to topics specifically related to CA (e.g. folate status, teratogens) as well as of broad public health impact (e.g. obesity, smoking) which call for specific attention to their relevance in the pre- and periconceptional period. The recommendations, reported entirely in this paper, are a comprehensive tool to implement primary prevention into national policies on rare diseases in Europe.

Pulmonary artery sarcoma: a rare disease

Pulmonary artery sarcomas (PAS) are rare and probably incurable tumours. The clinical manifestations are non-specific and very similar to that of patients with thromboembolic disease, resulting in delay of the correct diagnosis and proper treatment. We report the case of a 66-year-old woman with PAS diagnosed by computed tomography guided biopsy. Chemotherapy treatment was initiated but the patient died 11 months after diagnosis.

[Juvenile chronic arthritis: a rare disease with potentially serious consequences]

The term juvenile chronic arthritis covers several nosological entities with very different clinical presentation, course and prognosis. This review addresses non-rheumatologists and non-pediatricians. Diagnostic criteria, clinical presentation of the most common nosological subgroups and relevant investigations are spotlighted. Therapeutic guidelines are presented, bearing in mind, that for each child an individual interdisciplinary plan has to be elaborated. This would involve close cooperation between the pediatrician, the pediatric rheumatologist, the family doctor, parents and, if necessary, the physiotherapist, ergotherapist, social worker, ophthalmologist, orthopedic surgeon and school teachers. It is essential that each member of this therapeutic team reports regularly.

Eosinophilic Fasciitis: an Atypical Presentation of a Rare Disease

Objectives: We report an atypical presentation of eosinophilic fasciitis and provide a concise overview of the literature. Materials and Methods: Clinical and laboratory findings in a patient presenting with fever and skin induration were recorded. A deep muscle biopsy was performed in order to confirm the diagnosis. Results: A spontaneous favourable clinical and radiological evolution was observed. Conclusion: The diagnosis of eosinophilic fasciitis is challenging due to the lack of pathognomonic signs and symptoms. As spontaneous resolution has been described, watchful waiting is defendable depending on the clinical presentation. Although magnetic resonance imaging (MRI) can be useful in establishing the diagnosis, a deep muscle biopsy remains the gold standard diagnostic tool.

Histiocytic sarcoma; case report of a rare disease in a kidney transplant recipient

BACKGROUND: Histiocytic sarcoma (HS) is a rare hematologic neoplasm with a few hundred cases having been described to date.

Whipple’s disease infection surgical treatment: presentation of a rare case and literature review

The Whipple’ Disease (W.D.) is a very rare disease with an incidence of 1 per 1.000.000 inhabitants; it is a systemic infection that may mimic a wide spectrum of clinical disorders, which may have a fatal outcome and affects mainly male 40-50 years old. The infective agent is an actinomycete, Tropheryma Whipplei (T.W.) that was isolated 100 years after first description by Wipple, and identified in macrophages of mucosa of the small intestine by biopsy which is characterized by periodic acid-Schiff-positive, products of the inner membrane of his polysaccharide bacterial cell wall. The multisystemic clinical manifestations evolve rapidly towards an organic decay characterized by weight loss, malabsorption, diarrhea, polyathralgia, opthalmoplegia, neuro-psychiatric disorders and sometimes associated to endocarditis. Early antibiotic treatment with trimethoprim and sulfometathaxazole reduces the fatal evolution of the disease. The authors present a rare experience about a female subject in which the clinical gastrointestinal signs were preceded by neuro-psychiatric disorders, and evolved into obstruction and intestinal perforation which required an emergency surgery with temporary ileostomy, recanalized only after adequate medical treatment with a full dose of antibiotic and resolution of clinical disease for the high risks of fistulae for the edema and lymphadenopathy of mucosa. The diagnosis was histologically examined by intestinal biopsy performed during surgery, which showed PAS-positive histiocytes, while PRC polymerase RNA was negative, which confirms the high sensibility of PAS positive and low specificity of RNA polymerase for T.W.

Addressing issues in sparseness, ecological bias and formulation of the adjacency matrix in Bayesian spatio-temporal analysis of disease counts

The main objective of this PhD was to further develop Bayesian spatio-temporal models (specifically the Conditional Autoregressive (CAR) class of models), for the analysis of sparse disease outcomes such as birth defects. The motivation for the thesis arose from problems encountered when analyzing a large birth defect registry in New South Wales. The specific components and related research objectives of the thesis were developed from gaps in the literature on current formulations of the CAR model, and health service planning requirements. Data from a large probabilistically-linked database from 1990 to 2004, consisting of fields from two separate registries: the Birth Defect Registry (BDR) and Midwives Data Collection (MDC) were used in the analyses in this thesis. The main objective was split into smaller goals. The first goal was to determine how the specification of the neighbourhood weight matrix will affect the smoothing properties of the CAR model, and this is the focus of chapter 6. Secondly, I hoped to evaluate the usefulness of incorporating a zero-inflated Poisson (ZIP) component as well as a shared-component model in terms of modeling a sparse outcome, and this is carried out in chapter 7. The third goal was to identify optimal sampling and sample size schemes designed to select individual level data for a hybrid ecological spatial model, and this is done in chapter 8. Finally, I wanted to put together the earlier improvements to the CAR model, and along with demographic projections, provide forecasts for birth defects at the SLA level. Chapter 9 describes how this is done. For the first objective, I examined a series of neighbourhood weight matrices, and showed how smoothing the relative risk estimates according to similarity by an important covariate (i.e. maternal age) helped improve the model’s ability to recover the underlying risk, as compared to the traditional adjacency (specifically the Queen) method of applying weights. Next, to address the sparseness and excess zeros commonly encountered in the analysis of rare outcomes such as birth defects, I compared a few models, including an extension of the usual Poisson model to encompass excess zeros in the data. This was achieved via a mixture model, which also encompassed the shared component model to improve on the estimation of sparse counts through borrowing strength across a shared component (e.g. latent risk factor/s) with the referent outcome (caesarean section was used in this example). Using the Deviance Information Criteria (DIC), I showed how the proposed model performed better than the usual models, but only when both outcomes shared a strong spatial correlation. The next objective involved identifying the optimal sampling and sample size strategy for incorporating individual-level data with areal covariates in a hybrid study design. I performed extensive simulation studies, evaluating thirteen different sampling schemes along with variations in sample size. This was done in the context of an ecological regression model that incorporated spatial correlation in the outcomes, as well as accommodating both individual and areal measures of covariates. Using the Average Mean Squared Error (AMSE), I showed how a simple random sample of 20% of the SLAs, followed by selecting all cases in the SLAs chosen, along with an equal number of controls, provided the lowest AMSE. The final objective involved combining the improved spatio-temporal CAR model with population (i.e. women) forecasts, to provide 30-year annual estimates of birth defects at the Statistical Local Area (SLA) level in New South Wales, Australia. The projections were illustrated using sixteen different SLAs, representing the various areal measures of socio-economic status and remoteness. A sensitivity analysis of the assumptions used in the projection was also undertaken. By the end of the thesis, I will show how challenges in the spatial analysis of rare diseases such as birth defects can be addressed, by specifically formulating the neighbourhood weight matrix to smooth according to a key covariate (i.e. maternal age), incorporating a ZIP component to model excess zeros in outcomes and borrowing strength from a referent outcome (i.e. caesarean counts). An efficient strategy to sample individual-level data and sample size considerations for rare disease will also be presented. Finally, projections in birth defect categories at the SLA level will be made.

Using rare mutations to estimate population divergence times: A maximum likelihood approach

In this paper we propose a method to estimate by maximum likelihood the divergence time between two populations, specifically designed for the analysis of nonrecurrent rare mutations. Given the rapidly growing amount of data, rare disease mutations affecting humans seem the most suitable candidates for this method. The estimator RD, and its conditional version RDc, were derived, assuming that the population dynamics of rare alleles can be described by using a birth–death process approximation and that each mutation arose before the split of a common ancestral population into the two diverging populations. The RD estimator seems more suitable for large sample sizes and few alleles, whose age can be approximated, whereas the RDc estimator appears preferable when this is not the case. When applied to three cystic fibrosis mutations, the estimator RD could not exclude a very recent time of divergence among three Mediterranean populations. On the other hand, the divergence time between these populations and the Danish population was estimated to be, on the average, 4,500 or 15,000 years, assuming or not a selective advantage for cystic fibrosis carriers, respectively. Confidence intervals are large, however, and can probably be reduced only by analyzing more alleles or loci.

Value Assessment of Orphan Drugs and Treatments for Rare Diseases

Thesis (Master's)--University of Washington, 2016-06

A Rare Cause of Chronic Low Back Pain

Objectives: Autosomal dominant osteopetrosis (ADO) is a rare genetic disease characterized by increased bone mass and density due to defective bone resorption. The aim of this case study is to present the clinical and radiographic features of a 22-year-old male patient with ADO and to serve as a reminder that this rare disease should be considered in the differential diagnosis of chronic low back pain. Materials and methods: A 22-year-old patient with ADO is presented in this case report. Results: Clinical and radiographic features of the patient were consistent with ADO. Conclusions: ADO should be taken into consideration in differential diagnosis of low back pain.

A recurrent mutation in the BMP type I receptor ACVR1 causes inherited and sporadic fibrodysplasia ossificans progressiva

Fibrodysplasia ossificans progressiva (FOP) is a rare autosomal dominant disorder of skeletal malformations and progressive extraskeletal ossification. We mapped FOP to chromosome 2q23-24 by linkage analysis and identified an identical heterozygous mutation (617G→A; R206H) in the glycine-serine (GS) activation domain of ACVR1, a BMP type I receptor, in all affected individuals examined. Protein modeling predicts destabilization of the GS domain, consistent with constitutive activation of ACVR1 as the underlying cause of the ectopic chondrogenesis, osteogenesis and joint fusions seen in FOP.

Next-generation sequencing: A frameshift in skeletal dysplasia gene discovery

In the last decade, huge breakthroughs in genetics - driven by new technology and different statistical approaches - have resulted in a plethora of new disease genes identified for both common and rare diseases. Massive parallel sequencing, commonly known as next-generation sequencing, is the latest advance in genetics, and has already facilitated the discovery of the molecular cause of many monogenic disorders. This article describes this new technology and reviews how this approach has been used successfully in patients with skeletal dysplasias. Moreover, this article illustrates how the study of rare diseases can inform understanding and therapeutic developments for common diseases such as osteoporosis. © International Osteoporosis Foundation and National Osteoporosis Foundation 2013.

Cancer incidence, mortality, and pregnancy outcome among women treated for cervical intraepithelial neoplasia

Cervical cancer develops through precursor lesions, i.e. cervical intraepithelialneoplasms (CIN). These can be detected and treated before progression to invasive cancer. The major risk factor for developing cervical cancer or CIN is persistent or recurrent infection with high-risk human papilloma virus (hrHPV). Other associated risk factors include low socioeconomic status, smoking, sexually transmitted infections, and high number of sexual partners, and these risk factors can predispose to some other cancers, excess mortality, and reproductive health complications as well. The aim was to study long-term cancer incidence, mortality, and reproductive health outcomes among women treated for CIN. Based on the results, we could evaluate the efficacy and safety of CIN treatment practices and estimate the role of the risk factors of CIN patients for cancer incidence, mortality, and reproductive health. We collected a cohort of 7 599 women treated for CIN at Helsinki University Central Hospital from 1974 to 2001. Information about their cancer incidence, cause of death, birth of children and other reproductive endpoints, and socio-economic status were gathered through registerlinkages to the Finnish Cancer Registry, Finnish Population Registry, and Statistics Finland. Depending on the endpoints in question, the women treated were compared to the general population, to themselves, or to an age- and municipality-matched reference cohort. Cervical cancer incidence was increased after treatment of CIN for at least 20 years, regardless of the grade of histology at treatment. Compared to all of the colposcopically guided methods, cold knife conization (CKC) was the least effective method of treatment in terms of later CIN 3 or cervical cancer incidence. In addition to cervical cancer, incidence of other HPV-related anogenital cancers was increased among those treated, as was the incidence of lung cancer and other smoking-related cancers. Mortality from cervical cancer among the women treated was not statistically significantly elevated, and after adjustment for socio-economic status, the hazard ratio (HR) was 1.0. In fact, the excess mortality among those treated was mainly due to increased mortality from other cancers, especially from lung cancer. In terms of post-treatment fertility, the CIN treatments seem to be safe: The women had more deliveries, and their incidence of pregnancy was similar before and after treatment. Incidence of extra-uterine pregnancies and induced abortions was elevated among the treated both before and after treatment. Thus this elevation did not occur because they were treated rather to a great extent was due to the other known risk factors these women had in excess, i.e. sexually transmitted infections. The purpose of any cancer preventive activity is to reduce cancer incidence and mortality. In Finland, cervical cancer is a rare disease and death from it even rarer, mostly due to the effective screening program. Despite this, the women treated are at increased risk for cancer; not just for cervical cancer. They must be followed up carefully and for a long period of time; general health education, especially cessation of smoking, is crucial in the management process, as well as interventions towards proper use of birth control such as condoms.

As neurotoxinas de clostridium sp.

Projeto de Pós-Graduação/Dissertação apresentado à Universidade Fernando Pessoa como parte dos requisitos para obtenção do grau de Mestre em Ciências Farmacêuticas