Abstract:Background
The development of advanced genetic technologies has resulted in rapid identification of genetic etiologies of neurodevelopmental disorders (NDDs) and has transformed the classification and diagnosis of various NDDs. However, diagnostic genetics has far outpaced our ability to provide timely medical counseling, guidance, and care for patients with genetically defined NDDs. These patients and their caregivers present with an unmet need for care coordination across multiple domains inc… Show more
“…Importantly, the basic needs and clinical presentations of these various rare disorders overlap considerably. By addressing these needs holistically, this could greatly shorten the “diagnostic and therapeutic odyssey” that so many families of youth with NDDs face in trying to get appropriate medical care [12].…”
Section: Discussionmentioning
confidence: 99%
“…Patients from our clinic have reported particular difficulty with delays between initial caregiver concerns for NDDs and formal developmental or genetic diagnoses and barriers to specialized care including long wait times for an appointment, lack of insurance coverage, lack of availability of local evaluations, transportation difficulties, and native language differences [12].…”
mentioning
confidence: 99%
“…We describe our experience over a five-year period, evaluating 316 patients. We identify key ways in which our genomics-informed approach to neuropsychiatric care can alleviate aspects of the diagnostic and treatment odyssey [12], and highlight challenges that we faced. Based on our experience, we highlight the urgent need for medical educators and health care administrators to reconsider disorder-specific approaches to genomic medicine and instead emphasize more generalized genomic training so that clinicians and health systems are equipped to expertly care for a growing population of patients with ultra-rare genetic disorders.…”
Background: Patients with neurodevelopmental disorders (NDDs) have high rates of neuropsychiatric comorbidities that can be highly impairing and treatment refractory. Genomic medicine may help guide care, as pathogenic variants are identified in up to 50% of patients with NDDs. We evaluate the impact of a genomics-informed, multidisciplinary, neuropsychiatric specialty clinic on the diagnosis and management of patients with NDDs. Methods: We performed a retrospective study of 316 patients from the UCLA Care and Research in Neurogenetics Clinic, a genomics-informed multidisciplinary clinic composed of psychiatry, neurology, medical genetics, psychology, and social work. Results: We observed high rates of psychiatric and medical comorbidity. Among the 246 patients that underwent genetic testing, 41.8% had a pathogenic or likely pathogenic (P/LP) variant. Patients had 62 different genetic diagnoses, with 12 diagnoses shared by two or more patients, including Duplication 15q syndrome (9.18%), Tuberous Sclerosis Complex (3.48%), and Angelman syndrome (1.27%), while 50 diagnoses were found in only single patients. Genetic diagnosis resulted in direct changes to clinical management in all patients with a P/LP variant, including high rates of cascade testing (30.6%), family counseling (22.2%), medication changes (13.9%), clinical trial referral (2.8%), medical surveillance (30.6%), and specialty referrals (69.4%). Conclusions: A genomics-informed model can provide significant clinical benefits to patients with NDDs, directly impacting management across multiple domains for most diagnosed patients. As precision treatments for NDDs advance, establishing a genetic diagnosis will be critical for proper management. With the growing number of rare neurogenetic disorders, clinician training should emphasize core principles of genomic medicine over individual syndromes.
“…Importantly, the basic needs and clinical presentations of these various rare disorders overlap considerably. By addressing these needs holistically, this could greatly shorten the “diagnostic and therapeutic odyssey” that so many families of youth with NDDs face in trying to get appropriate medical care [12].…”
Section: Discussionmentioning
confidence: 99%
“…Patients from our clinic have reported particular difficulty with delays between initial caregiver concerns for NDDs and formal developmental or genetic diagnoses and barriers to specialized care including long wait times for an appointment, lack of insurance coverage, lack of availability of local evaluations, transportation difficulties, and native language differences [12].…”
mentioning
confidence: 99%
“…We describe our experience over a five-year period, evaluating 316 patients. We identify key ways in which our genomics-informed approach to neuropsychiatric care can alleviate aspects of the diagnostic and treatment odyssey [12], and highlight challenges that we faced. Based on our experience, we highlight the urgent need for medical educators and health care administrators to reconsider disorder-specific approaches to genomic medicine and instead emphasize more generalized genomic training so that clinicians and health systems are equipped to expertly care for a growing population of patients with ultra-rare genetic disorders.…”
Background: Patients with neurodevelopmental disorders (NDDs) have high rates of neuropsychiatric comorbidities that can be highly impairing and treatment refractory. Genomic medicine may help guide care, as pathogenic variants are identified in up to 50% of patients with NDDs. We evaluate the impact of a genomics-informed, multidisciplinary, neuropsychiatric specialty clinic on the diagnosis and management of patients with NDDs. Methods: We performed a retrospective study of 316 patients from the UCLA Care and Research in Neurogenetics Clinic, a genomics-informed multidisciplinary clinic composed of psychiatry, neurology, medical genetics, psychology, and social work. Results: We observed high rates of psychiatric and medical comorbidity. Among the 246 patients that underwent genetic testing, 41.8% had a pathogenic or likely pathogenic (P/LP) variant. Patients had 62 different genetic diagnoses, with 12 diagnoses shared by two or more patients, including Duplication 15q syndrome (9.18%), Tuberous Sclerosis Complex (3.48%), and Angelman syndrome (1.27%), while 50 diagnoses were found in only single patients. Genetic diagnosis resulted in direct changes to clinical management in all patients with a P/LP variant, including high rates of cascade testing (30.6%), family counseling (22.2%), medication changes (13.9%), clinical trial referral (2.8%), medical surveillance (30.6%), and specialty referrals (69.4%). Conclusions: A genomics-informed model can provide significant clinical benefits to patients with NDDs, directly impacting management across multiple domains for most diagnosed patients. As precision treatments for NDDs advance, establishing a genetic diagnosis will be critical for proper management. With the growing number of rare neurogenetic disorders, clinician training should emphasize core principles of genomic medicine over individual syndromes.
“…This is not uncommon, with previous statistics from Canada showing a missed diagnosis rate of 80% for FASD and a misdiagnosis rate of 6.4% (Chasnoff et al, 2015 ). Early developmental concerns identified by caregivers are often accurate and are later validated by physicians as medically significant (Simon et al, 2022 ), underscoring the importance of acknowledging the expertise that caregivers bring regarding their child's life. Family‐centered care that values working collaboratively with families has previously been suggested as key to FASD‐informed care delivery (Joly et al, 2022 ; Reid, Crawford, et al, 2022 ) and could be considered as a critical approach to the assessment and diagnostic process.…”
Early assessment and diagnosis of FASD are crucial in providing therapeutic interventions that aim to enhance meaningful participation and quality of life for individuals and their families, while reducing psychosocial difficulties that may arise during adolescence and adulthood. Individuals with lived experience of FASD have expertise based on their own lives and family needs. Their insights into the assessment and diagnostic process are valuable for improving service delivery and informing the provision of meaningful, person‐ and family‐centered care. To date, reviews have focused broadly on the experiences of living with FASD. The aim of this systematic review is to synthesize qualitative evidence on the lived experiences of the diagnostic assessment process for FASD. Six electronic databases, including PubMed, the Cochrane Library, CINAH, EMBASE, PsycINFO, and Web of Science Core Collection were searched from inception until February 2021, and updated in December 2022. A manual search of reference lists of included studies identified additional studies for inclusion. The quality of included studies was assessed using the Critical Appraisal Skills Program Checklist for Qualitative Studies. Data from included studies were synthesized using a thematic analysis approach. GRADE‐CERQual was used to assess confidence in the review findings. Ten studies met the selection criteria for inclusion in the review. Thematic analysis identified 10 first‐level themes relating to four over‐arching topics: (1) pre‐assessment concerns and challenges, (2) the diagnostic assessment process, (3) receipt of the diagnosis, and (4) post‐assessment adaptations and needs. GRADE‐CERQual confidence ratings for each of the review themes were moderate to high. The findings from this review have implications for referral pathways, client‐centered assessment processes, and post‐diagnostic recommendations and support.
“…Neurodevelopmental disorders (NDD) are highly prevalent among children aged 3 to 17 in the United States, affecting approximately 17% of this population 1 . Recent advancements in genetic technologies have led to the identification of genetic causes in 15–53% of NDD cases 2 , but comprehensive phenotypic evaluation, including laboratory tests and neuroimaging, remains crucial for precise genetic diagnosis. Eventually, these evaluations provide insights into the underlying mechanisms and potential biomarkers associated with these disorders.…”
The purpose of this study was to demonstrate the performance of a fully automated, deep learning-based brain segmentation (DLS) method in healthy controls and in patients with neurodevelopmental disorders, SCN1A mutation, under eleven. The whole, cortical, and subcortical volumes of previously enrolled 21 participants, under 11 years of age, with a SCN1A mutation, and 42 healthy controls, were obtained using a DLS method, and compared to volumes measured by Freesurfer with manual correction. Additionally, the volumes which were calculated with the DLS method between the patients and the control group. The volumes of total brain gray and white matter using DLS method were consistent with that volume which were measured by Freesurfer with manual correction in healthy controls. Among 68 cortical parcellated volume analysis, the volumes of only 7 areas measured by DLS methods were significantly different from that measured by Freesurfer with manual correction, and the differences decreased with increasing age in the subgroup analysis. The subcortical volume measured by the DLS method was relatively smaller than that of the Freesurfer volume analysis. Further, the DLS method could perfectly detect the reduced volume identified by the Freesurfer software and manual correction in patients with SCN1A mutations, compared with healthy controls. In a pediatric population, this new, fully automated DLS method is compatible with the classic, volumetric analysis with Freesurfer software and manual correction, and it can also well detect brain morphological changes in children with a neurodevelopmental disorder.
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