Fondazione Policlinico Universitario A. Gemelli Irccs
Roma, 00168, Italy
NCT Number: NCT07558213
Over the past century, the progress in biomedical sciences gave outstanding contributions to the understanding of human conditions, and even curing some of them. Recent advances in high-throughput technologies have enabled the profiling of Rare Diseases (RDs) trough genomics, transcriptomics, proteomics, and metabolomics. Regardless of the improvements in the efficiency of data generation, the research community struggles when stepping into bedside and translational processes. The lack of integrated networks between specialists of referral hospitals, local healthcare services and researchers represents a major challenge impacting outcomes of patients with RDs and overall family well-being.
The "Agostino Gemelli" University Hospital (GUH) is a leader in the national and international scenario on the clinical management of individuals affected by RDs with more than10.000 patients followed per year, 19 Units certifying different RDs and 16 of them belonging to the European reference Network. Nevertheless, even though the Units by themselves have a well-organized level of competencies, the network of specialists inside and outside hospital, the transition models from pediatric to adult age and the connection between referral centers and territorial services need to be optimized.
The current project aims to build the foundation of a multidimensional model helping clinicians overcoming the gaps mentioned above. Starting from the strength of a comprehensive and diversified clinical experience of specialists from GUH (HUB) and Metabolic and Genetic Unit at the Giovanni XXIII Children's Hospital in Bari (Spoke) a standardization of diagnostic and therapeutic coding according to MONDO Disease Ontology coding, Human Phenotype Ontology (HPO), and Anatomical Therapeutic Chemical (ATC) coding, will be performed. IT services will develop an electronic Case Report Form (eCRF) to collect and match data and experienced physicians will perform a functional diagnosis using the InterRAI multidimensional tools. Multiomics profiling will be performed by using the Gemelli-Science and TEchnology Park (G-STEP) facility (HUB) and the Institute for Genetic and Biomedical Research, National Research Council (Spoke) will generate induced pluripotent stem cell lines and isogenic cell lines by genome-editing technologies from selected patients with RDs. A Multidisciplinary Board for Rare Diseases (MBRD) with members of all Units will assess criteria for patient enrollment, will provide integration of clinical and molecular data and based on results, it will plan a personalized medical care strategy. To ensure the cross-sectional application of the model proposed to the broadest number of RDs, the participating Units will select four specific populations (from pediatric to adult age) affected by RDs. Measurable outcomes will arise from analysis of the mean time between first contact with the specialist and establishment of the etiologic diagnosis as well as reduction in the number of hospital visits, missed visits and loss of follow-up. The above data from patients enrolled in the present study will be compared to those collected in the two years prior Sars-Cov-2 pandemic (2017-2019) by querying data from the Regional Registry for RDs. This study performed on four major selected groups of RDs represents a model potentially applying to larger groups of RDs
This study is active but is not currently recruiting participants.
All sexes
Observational
Roma, 00168, Italy
Background and Rationale Over the past century, the progress in biomedical sciences gave outstanding contributions to understanding the human conditions, and even curing some of them. Recent advances in high-throughput technologies have enabled the profiling of RDs trough genomics, transcriptomics, proteomics, and metabolomics. However, integrative analysis of such datasets is complicated by the high dimensionality and heterogeneity of the data and the lack of analysis protocols. Regardless of the improvements in the efficiency of data generation, the research community struggles when stepping into bedside and translational processes. The lack of integrated networks between clinical specialists, local healthcare services, and researchers represents a major challenge impacting outcomes of patients with Rare Diseases (RDs) and overall family wellbeing.
Integrative analysis of such systems represents a major unresolved problem in managing RDs, strongly emphasize by the Sars-Cov-2 pandemic.
The "Agostino Gemelli" University Hospital (GUH) is a leader in the national and international scenario on the clinical management of individuals affected by RDs. More than 10.000 patients per year routinely receive a comprehensive healthcare plan to manage disease sequelae and comorbidities and appropriate therapeutic options when available, according to national/international recommendations. All medical records are stored in the intranet system but this is not yet customized for RDs. The interconnection with territorial services is mediated by families delivering medical documentation to local family doctors or other territorial services.
To date, 19 Units can certify RDs and 16 Units belong to the European Reference Network (ERN). Even though each Unit has a relatively well-organized level of competencies, the patient odyssey is still time and economic resource consuming. Delay in diagnosis increases the redundancy of clinical/instrumental examinations increasing costs for the National healthcare system. Therefore, the network of specialists inside/outside hospitals needs to be optimized. Moreover, the lack of standardized transition models from pediatric to adult age and connections between referral centers and territorial services lead to a high number of dropouts.
General Objectve
The current project aims to build the foundation of a multidimensional model helping clinicians overcoming the gaps mentioned above. In order to reach this main goal, the project will pursue the following specific objectives trough the implementation of different tasks:
Specific objectives
AIM 1 Standardization of the clinical characterization of people with RDs given there is currently no unified model nationwide.
AIM 2 Multi-omics-based profiling and IPSCs-based modelling for RDs. - Task 1. Multi-omics profiling (clinical exome sequencing, transcriptomics, proteomics, and metabolomics) will be performed at Unit 1 using the G-STEP research facility on various biological specimens collected by RDs patients from Units 1 and 3.
The profiling will be completed for undiagnosed genetic patients, while for those already diagnosed, the profiling will be limited to transcriptomics, proteomics, and metabolomics.
AIM 3 Integration of data collected to guide patients trough targeted drug therapies, personalized clinical management, and transition.
Methods
Study Design This is a multicenter, experimental study that will be performed at the "Agostino Gemelli" University Hospital (Rome), Institute of Genetic and Biomedical Research - National Research Council (CNR) Monserrato (CA) and Giovanni XXIII Children's Hospital Bari.
Endpoints Primary endpoint
Population Patient population A total number of 100 patients is enrolled by the MBRD at Unit 1 and 3 (1/3 affected by syndromic conditions and 2/3 with muscular disorders including mitochondrial diseases and muscular dystrophies.
The 100 patients enrolled in the present project (POST group) will be compared with a 100 PRE group patients admitted and managed from 2017 to 2019 in Unit 1 and 3, before the implementation of the multidimensional model.
Clinical and instrumental evaluation All enrolled subjects will undergo a complete clinical, laboratory and instrumental evaluation, according to routine clinical practice.
Methods for specific AIMs
Aim 1
The individual status is checked by using:
Aim 2
Aim 3
Statistic plan All patients with clinical criteria for inclusion (complex syndromic RDs without a genetic diagnosis, ultra-rare diseases with or without a genetic confirmation, muscular dystrophies, mitochondrial disorders), managed at Unit 1 and 3 will be enrolled.
One hundred patients will be followed using the multidimensional model proposed with the aim of testing whether this model is able to reduce the time between the medical consultation and the etiological diagnosis and improve both decision making and treatment process of patients.
The study is designed as a multi-centers, quasi-experimental, pre-post study comparing the impact of the multidimensional model before and after its implementation on two cohort of patients. The 100 patients enrolled in the present project (POST group) will be compared with a 100 PRE group patients admitted and managed from 2017 to 2019 in Unit 1 and 3, before the implementation of the multidimensional model.
Data (demographic data, clinical data and omics data) are presented as mean and standard deviation (±SD) or median and interquartile range (IQR) in case of continuous variables and as a percentage and absolute values in case of discrete variables. The normality of the sample distribution will be assessed using the Kolmogorov Smirnov test.
Outcomes are measured and reported using the KPIs below summarized.
Sample size As this study involves all eligible patients during the pre-specified period, a prior calculation of sample size has not been performed. However, according preliminary data of the PRE group, the mean time-laps between first outpatient evaluation and etiological diagnosis is 18.7 months (standard deviation 5). Therefore, the sample sizes of 100 (PRE group) and 100 (POST group) achieve 80.7% power to reject the null hypothesis of equal mean time when the population mean difference is 2 months with a standard deviation for both groups of 5 and with a significance level (alpha) of 0,05 (two-sided twosample equal-variance z-test).
Expected outcomes For patients enrolled without a genetic diagnosis (POST group) we expect a reduction of the mean time between contact with the specialist and establishment of the etiologic diagnosis (molecular profiling). In patients with a genetic diagnosis fulfilling criteria for enrolment, we expect to improve overall clinical management as measured using the above mentioned secondary outcomes. Moreover, we expect to identify some reliable biomarkers to be confirmed by future research projects. Finally, we expect to improve the time-laps between patient evaluation at the baseline and access to targeted therapies, QoL and Patient/caregiver satisfaction.
Experimental procedures A subgroup of patients will undergo a skin biopsy, nasal brush and buccal swab. These procedures determine a minimum risk for the patients, as they are widely used in the clinical practice of the management of subjects suffering from rare diseases.
Significance and innovation Major goal of this proposal is to present a new model of integrated approach for RDs with the aim of reducing time-laps between physician consult and etiological diagnosis, sharing decision making process on clinical follow-up and access to personalized therapies, building transition programs from pediatric to adult care and finally helping patients with complex chronic conditions to receive the standards of care through telemedicine.
This pilot project benefits of a well-established network of physicians inside Unit 1 and 3, and integrated facilities for multiomics profiling at Unit 1.
Moreover, the connection with Unit 3 for creation of patient-specific iPSC-cells represents an important step for translational research and future studies.
Data collection and management
Dissemination of Results The results obtained will be published in international peer-reviewed journals. An annual meeting will be performed at the "Agostino Gemelli" University Hospital in order to provide a clinical update to colleagues and other healthcare professionals or researchers interested in these genetic disorders.
Protocol's deviations and amendments Any deviation of the Protocol not approved by the Ethics Committee will involve study discontinuation for that patient. Protocol's amendaments must be submitted to the Ethics Committee.
Study documents and biological samples The clinical documentation of the study will be kept for at least 15 years after its conclusion at the "Agostino Gemelli" University Hospital. The biological material will be kept in the XBiogem Biobank located at the "Agostino Gemelli" University Hospital.
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Coding phenotype using standardized nomenclature systems, skin biopsy, blood sampling, nasal brush, and oral cavity swabs
Standardized scales for functional assessment of the patient
Time frame: 2 years
To reduce the time needed to reach etiopathogenetic diagnosis in specific subgroups of patients with rare disease
Time frame: 2 years
When no genetic diagnosis is present, use integrated molecular diagnostic systems to arrive at the diagnosis. In paricular a multi-omics profiling (clinical exome sequencing, transcriptomics, proteomics, and metabolomics) will be performed.
Fondazione Policlinico Universitario Agostino Gemelli IRCCS
Other
AD MAIORA - A Multi-Dimensional Model of cAre and transItion for Patients With cOmplex RAre Diseases: Challenges in the Era of New Technologies
Acronym: AD-MAIORA
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