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Enregistrement W2266635157 · doi:10.1093/pch/19.9.469

Early identification of treatable inborn errors of metabolism in children with intellectual disability: The Treatable Intellectual Disability Endeavor protocol in British Columbia

2014· article· en· W2266635157 sur OpenAlexaffabout
Clara DM van Karnebeek, Sylvia Stöckler‐Ipsiroglu

Notice bibliographique

RevuePaediatrics & Child Health · 2014
Typearticle
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueGenomics and Rare Diseases
Établissements canadiensChild and Family Research InstituteBC Children's HospitalPacific Centre for Reproductive MedicineUniversity of British Columbia
Organismes subventionnairesnon disponible
Mots-clésIntellectual disabilityEtiologyMedicineAutismPediatricsGenetic testingDiseaseEpilepsyGlobal developmental delayHeart diseasePsychiatryBioinformaticsIntensive care medicinePathologyGeneticsInternal medicinePhenotypeBiology

Résumé

récupéré en direct d'OpenAlex

Intellectual disability (ID) is a lifelong, debilitating condition affecting 2% to 3% Canadians (1). It is defined by deficits in cognitive functioning (IQ <70) and adaptive skills, and termed global developmental disability (GDD) in children <5 years of age (defined as deficits in >2 developmental domains, eg, fine/gross motor skills, speech and interaction) (2,3). In Canada, approximately 7600 to 11,500 children are born with GDD annually (1). In the present commentary, the term ID will be used to refer to ID/GDD. ID is associated with the highest health care costs of any disease, nearly equalling the combined economic impact of stroke, heart disease and cancer (4). Associated comorbidity is significant and includes epilepsy, autism, psychiatric/behavioural disturbances, sensory deficiencies and systemic organ involvement (eg, congenital heart defects, liver disease). While the etiology of ID is diverse, including infectious, traumatic and toxic origins, genetic etiologies constitute the most frequent cause, demonstrable in >50% of patients; this number is increasing with the advent of novel genomic technologies (5). Genetic causes range from numerical and structural chromosomal abnormalities and submicroscopic copy number variants, to methylation abnormalities and single-gene defects (6). Given the etiological heterogeneity, diagnostic evaluation of children with ID is a challenge for neurologists, geneticists and paediatricians. Current guidelines for the clinical evaluation of genetic causes of ID are based on frequencies of single conditions and yield of diagnostic methods and procedures (7–10). However, causal therapy (ie, targeting the pathophysiology) is not available for many of the conditions identified by this approach, thereby limiting any potential therapeutic benefit. By contrast, inborn errors of metabolism (IEM) represent the largest category of genetic conditions amenable to causal therapy. However, the literature suggests low diagnostic yields associated with metabolic testing (0.8% to 2.5%). The need for multiple tests to exclude a few rare to ultra-rare conditions and the limited availability of laboratories offering comprehensive diagnostic testing explain why, outside of highly specialized centres, metabolic work-up of patients with ID is time-consuming, expensive and often remains incomplete. Due to these limitations, diagnostic yield is not representative, varies according to publication and is reportedly low in patients presenting with ID. However, several studies indicate a higher yield for metabolic testing performed in the tertiary care setting (11,12). As of 2013, a comprehensive metabolic evaluation, as we suggest here, has not been reported for larger groups of ID patients (13). In 2012, our group was the first to publish a systematic literature review identifying 81 treatable IEM with ID as a distinguishing feature (14). We sought to investigate the number of treatable IEM presenting with ID, and to characterize the types of treatments and evidence for their effect. Furthermore, our literature search identified 91 causal therapies including medical diets, vitamin supplements, substrate inhibitors, stem cell transplant and gene therapy. Only one expensive drug is included; the remaining therapies are relatively affordable, accessible and safe. Effects range from improvement of cognition and development, to stabilization or prevention of brain damage. The evidence level is limited, a factor inherent to rare diseases such as these. While an overview of all therapies for each IEM is beyond the scope of the present article, a complete list of identified treatments together with corresponding evidence levels and therapeutic effects is available at www.treatable-id.org. Motivated by the cost savings generated by early identification of these diseases, the potential for improved health outcomes and prevention of brain damage through timely therapeutic initiation, we used evidence generated by our literature review to develop a two-tiered diagnostic protocol prioritizing genetic, treatable conditions presenting with ID (5).The protocol is currently implemented as the Treatable Intellectual Disability Endeavor (TIDE) study (www.tidebc.org) in our institution, the BC Children’s Hospital (BCCH) (Vancouver, British Columbia) and throughout British Columbia, in a joint 18-month pilot initiative with Child Health BC. The two-tiered TIDE protocol is designed to identify treatable IDs at the outset of diagnostic work-up in at-risk patients. The first tier involves biochemical group tests, which potentially indicate 60% of the currently known treatable IDs (Figure 1). This first tier can and should be applied for all patients with unexplained ID by community paediatricians and specialists, to effectively exclude a majority of treatable IEM without referral to a specialized centre. Generally, these tests are provided by most biochemical genetics laboratories across Canada, with reasonable turnaround times and affordable prices. In British Columbia, these tests are funded by the medical services plan for a total cost of approximately $527.97 per patient (15). Treatable Intellectual Disability Endeavor (TIDE) protocol. The asterisk at the 2nd tier denotes the step at which the current practice parameters for the comprehensive evaluation of intellectual disability should be implemented (American Academy of Pediatrics, 2014 [8]). IEM Inborn errors of metabolism; CSF Cerebrospinal fluid; CoQ Coenzyme Q The next step is to apply the current diagnostic practice parameters for ID, published by the American Academy of Pediatrics in 2014 (8), which include chromosome microarray as a first-line test and, in selected cases, Fragile X testing, neuroimaging and other tests, in combination with the second tier of the TIDE algorithm for the identification of the remaining 35 treatable IDs. These conditions require a more targeted approach, including single metabolite or primary molecular analysis, which is designated as the second tier. Because these tests can be difficult to obtain, and/or require invasive sampling procedures (eg, spinal tap for cerebrospinal fluid collection, skin biopsy to cultivate fibroblasts) and/or extensive funding, a clinical differential diagnosis is necessary to facilitate an efficient diagnostic work-up. Together with a corresponding interactive website (www.treatable-id.org) and a freely available Treatable ID App (via www.treatable-id.org and the Apple App store as the TIDE-BC App), an adapted version of the TIDE protocol has been implemented in our tertiary-care institution as of 2011, for the evaluation of ID patients seen in the divisions of medical genetics, paediatric neurology and biochemical diseases. This local version comprises urine glycosaminoglycans and oligosaccharides as second-tier rather than first-tier tests due to insufficient laboratory capacity at present. The WebApp can mitigate the complexity and time-consuming nature of this task by enabling recognition of treatable IDs and maximizing the efficiency of diagnostic work-up. Usable on all types of handheld devices (eg, BlackBerry [BlackBerry Limited, Canada], iPad [Apple Inc, USA]), these digital tools enable review of all treatable IDs according to biochemical defects and categories, diagnostic tests, clinical features and treatment modalities with the levels of evidence and effect. They have been designed for clinicians and scientists active in the diagnostic evaluation of ID (paediatricians, neurologists, biochemical/clinical geneticists, metabolic specialists) as well as laboratory scientists, ranging from student to expert level. Notably, during the period since the literature search was performed in 2011, new ‘treatable IDs’ have emerged through gene discovery and/or generation of evidence for new treatments including but not limited to: dihydrofolate reductase deficiency (oral folinic acid supplements), SC4MOL deficiency (oral cholesterol supplements); Lesch-Nyhan syndrome (hematopoietic stem cell transplantation); pyridoxine-dependent epilepsy (lysine-restricted diet); carbonic anhydrase II deficiency (carglumic acid, sick day formula) (16–20). Consequently, the guidelines have been and will continue to be modified to incorporate these and other exciting diagnostic and therapeutic advances as necessary; the latest publication comprises 89 treatable IEMs (5). To enable immediate use of the results of the evidence-based systematic review, see www.sciencedirect.com/science/article/pii/S1096719211006081. Evaluation of the TIDE protocol is currently underway via a study funded by the BCCH Foundation as the first Collaborative Area of Innovation. The 2.5-year pilot study, performed in our tertiary care centre, is gathering quantitative data (ie, screening, referral and testing volumes) and qualitative data (usefulness and uptake of the protocol) to determine the utility for both diagnostic frequency and screening costs associated with the protocol. Furthermore, with informed consent, phenotypic data and DNA are collected and stored for future research. In parallel, studies using genomics and metabolomics technologies are underway to identify new diseases. Results from the initial 24-month implementation period show that clinicians at BCCH identified treatable IEMs in >5% of 410 patients with ID. Further analysis comparing these patients with those diagnosed at BCCH between 2000 and 2009 showed that the screening protocol reduced ‘time to diagnosis’ by as much as six months (range one to 50 months), and costs of unnecessary testing (>$1,500 per patient) (21). The final results from data on >450 patients will be published by the end of 2014. Given the positive preliminary data from our pilot study and the fact that early identification of individuals with ID/GDD enables the initiation of treatment before irreversible brain damage occurs, thereby improving patient outcomes and reducing unnecessary costs, implementing the TIDE protocol throughout BC would enable further, systematic evaluation of the protocol while also providing more equitable access to screening. Consequently, we undertook a second, parallel pilot study, involving 18 community-based paediatricians, to evaluate implementation of the protocol’s first-tier metabolic screening outside BCCH in every patient presenting with unexplained ID. Additionally, we refined the consensus criteria for referral of patients for further evaluation at our tertiary care centre. This effort is meant to improve access to screening for the 2% to 3% of our provincial youth who exhibit ID, to facilitate early diagnosis, to streamline referrals, to improve patient outcomes, and to provide health care economies by mitigating diagnostic delay and unnecessary testing. The data generated through this provincial initiative (which, to date, show good uptake/yield and positive experiences) will be used to expand the implementation process province-wide, with the support of Child Health BC. This model could serve as an example for other provinces and centres in Canada to motivate clinicians to screen for treatable conditions in patients with unexplained ID, thereby leading the way globally for improvement in clinical practice. Drs Graham Sinclair and Hilary Vallance (Biochemical Genetics Laboratory) for data on cost of first-tier testing; Mr Brian Sayson, TIDE Research Coordinator; Suud Nahdi BSc MPH, TIDE Research Evaluator; Ms Claire Sowerbutt (medical writer) for text editing; Mr Roderick Houben and Mr Jeff Joa (Health2Media) for App design and updates.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,009
score de la tête « metaresearch » (Gemma)0,015
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Protocole · Signal consensuel: Protocole
Score de désaccord entre enseignants0,138
Score d'incertitude au seuil0,278

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0090,015
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,002
Bibliométrie0,0020,002
Études des sciences et des technologies0,0050,001
Communication savante0,0030,001
Science ouverte0,0040,003
Intégrité de la recherche0,0010,002
Charge utile insuffisante (le modèle a refusé de juger)0,0080,001

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,006
Tête enseignante GPT0,237
Écart entre enseignants0,231 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreProtocole

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations60
Publié2014
Routes d'admission2
Résumé présentoui

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