203 research outputs found

    The Smart Data Extractor, a Clinician Friendly Solution to Accelerate and Improve the Data Collection During Clinical Trials

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    In medical research, the traditional way to collect data, i.e. browsing patient files, has been proven to induce bias, errors, human labor and costs. We propose a semi-automated system able to extract every type of data, including notes. The Smart Data Extractor pre-populates clinic research forms by following rules. We performed a cross-testing experiment to compare semi-automated to manual data collection. 20 target items had to be collected for 79 patients. The average time to complete one form was 6'81'' for manual data collection and 3'22'' with the Smart Data Extractor. There were also more mistakes during manual data collection (163 for the whole cohort) than with the Smart Data Extractor (46 for the whole cohort). We present an easy to use, understandable and agile solution to fill out clinical research forms. It reduces human effort and provides higher quality data, avoiding data re-entry and fatigue induced errors.Comment: IOS Press, 2023, Studies in Health Technology and Informatic

    Charting a course for global progress in PIDs by 2030 — proceedings from the IPOPI global multi-stakeholders’ summit (September 2023)

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    The International Patient Organisation for Primary Immunodeficiencies (IPOPI) held its second Global Multi-Stakeholders’ Summit, an annual stimulating and forward-thinking meeting uniting experts to anticipate pivotal upcoming challenges and opportunities in the field of primary immunodeficiency (PID). The 2023 summit focused on three key identified discussion points: (i) How can immunoglobulin (Ig) therapy meet future personalized patient needs? (ii) Pandemic preparedness: what’s next for public health and potential challenges for the PID community? (iii) Diagnosing PIDs in 2030: what needs to happen to diagnose better and to diagnose more? Clinician-Scientists, patient representatives and other stakeholders explored avenues to improve Ig therapy through mechanistic insights and tailored Ig preparations/products according to patient-specific needs and local exposure to infectious agents, amongst others. Urgency for pandemic preparedness was discussed, as was the threat of shortage of antibiotics and increasing antimicrobial resistance, emphasizing the need for representation of PID patients and other vulnerable populations throughout crisis and care management. Discussion also covered the complexities of PID diagnosis, addressing issues such as global diagnostic disparities, the integration of patient-reported outcome measures, and the potential of artificial intelligence to increase PID diagnosis rates and to enhance diagnostic precision. These proceedings outline the outcomes and recommendations arising from the 2023 IPOPI Global Multi-Stakeholders’ Summit, offering valuable insights to inform future strategies in PID management and care. Integral to this initiative is its role in fostering collaborative efforts among stakeholders to prepare for the multiple challenges facing the global PID community

    AI-based diagnosis and phenotype – Genotype correlations in syndromic craniosynostoses

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    Apert (AS), Crouzon (CS), Muenke (MS), Pfeiffer (PS), and Saethre Chotzen (SCS) are among the most frequently diagnosed syndromic craniosynostoses. The aims of this study were (1) to train an innovative model using artificial intelligence (AI)–based methods on two-dimensional facial frontal, lateral, and external ear photographs to assist diagnosis for syndromic craniosynostoses vs controls, and (2) to screen for genotype/phenotype correlations in AS, CS, and PS. We included retrospectively and prospectively, from 1979 to 2023, all frontal and lateral pictures of patients genetically diagnosed with AS, CS, MS, PS and SCS syndromes. After a deep learning–based preprocessing, we extracted geometric and textural features and used XGboost (eXtreme Gradient Boosting) to classify patients. The model was tested on an independent international validation set of genetically confirmed patients and non-syndromic controls. Between 1979 and 2023, we included 2228 frontal and lateral facial photographs corresponding to 541 patients. In all, 70.2% [0.593–0.797] (p &lt; 0.001) of patients in the validation set were correctly diagnosed. Genotypes linked to a splice donor site of FGFR2 in Crouzon-Pfeiffer syndrome (CPS) caused a milder phenotype in CPS. Here we report a new method for the automatic detection of syndromic craniosynostoses using AI.</p

    The genetic landscape and clinical spectrum of nephronophthisis and related ciliopathies

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    Nephronophthisis (NPH) is an autosomal-recessive ciliopathy representing one of the most frequent causes of kidney failure in childhood characterized by a broad clinical and genetic heterogeneity. Applied to one of the worldwide largest cohorts of patients with NPH, genetic analysis encompassing targeted and whole exome sequencing identified disease-causing variants in 600 patients from 496 families with a detection rate of 71%. Of 788 pathogenic variants, 40 known ciliopathy genes were identified. However, the majority of patients (53%) bore biallelic pathogenic variants in NPHP1. NPH-causing gene alterations affected all ciliary modules defined by structural and/or functional subdomains. Seventy six percent of these patients had progressed to kidney failure, of which 18% had an infantile form (under five years) and harbored variants affecting the Inversin compartment or intraflagellar transport complex A. Forty eight percent of patients showed a juvenile (5-15 years) and 34% a late-onset disease (over 15 years), the latter mostly carrying variants belonging to the Transition Zone module. Furthermore, while more than 85% of patients with an infantile form presented with extra-kidney manifestations, it only concerned half of juvenile and late onset cases. Eye involvement represented a predominant feature, followed by cerebellar hypoplasia and other brain abnormalities, liver and skeletal defects. The phenotypic variability was in a large part associated with mutation types, genes and corresponding ciliary modules with hypomorphic variants in ciliary genes playing a role in early steps of ciliogenesis associated with juvenile-to-late onset NPH forms. Thus, our data confirm a considerable proportion of late-onset NPH suggesting an underdiagnosis in adult chronic kidney disease

    Navigating disruption in the PID landscape: embracing opportunities and anticipating threats in the next ten years

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    Introduction The International Patient Organisation for Primary Immunodeficiencies (IPOPI) held its third edition of the Global Multi-Stakeholders' Summit, gathering key primary immunodeficiencies (PID) stakeholders and experts to discuss and foment global collaboration.Methods This edition focused on the impact of genomic medicine in PID treatment, the role of digital health, including artificial intelligence, in PID care, and how to anticipate and minimise risks to ensure optimal patient access to care.Results These discussions aimed to examine current hurdles and brainstorm feasible solutions and priorities for the PID community in these areas in the next ten years.Discussion These discussions led to recommendations for comprehensive approaches to care and access to treatment for PID patients, suggesting actions that will bring the community closer to treatments based on real-world evidence and adjusted to patient's needs. To accomplish this, collaboration between academia, industry, regulatory authorities, and patients is crucial

    L'équipe-projet HeKA

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    This article describe the Inria, Inserm, Univ. de Paris project team HeKA.International audienceHeKA est une équipe-projet de recherche commune à Inria, l’Inserm et l’Université de Paris. Plus précisément, HeKA, dépend du Centre de Recherche des Cordeliers et du Centre Inria de Paris. En plus de deux chercheurs Inria et Inserm, HeKA est composé de chercheurs hospitalo-universitaires de l’AP-HP associés à des services de l’Hôpital Européen Georges Pompidou, l’Hôpital Necker et de l’Institut Imagine. Les thèmes de recherche de l’équipe sont l’informatique médicale, les biostatistiques et les mathématiques appliquées pour l’aide à la décision clinique. Le terme HeKA est à la fois une référence à la divité égyptienne de la médecine et un acronyme pour Health data- and model- driven Knowledge Acquisition.L’équipe HeKA fait suite à l’équipe 22 (Information Sciences to support Personalized Medicine) dirigée par Anita Burgun au Centre de Recherche des Corderliers (Inserm, Université de Paris). La responsable de HeKA est Sarah Zohar, elle est secondée par Adrien Coulet

    Kidney Int Rep

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    Introduction: Denys-Drash syndrome (DDS) is a rare disease typically associated with a triad of early onset nephrotic syndromes (NS), susceptibility to Wilms tumor (WT), and genitourinary structural defects. DDS is caused by Wilms’ tumor suppression gene (WT1) variants, with the most frequent variants in exons 8 and 9. This study aimed to evaluate the long-term clinical outcomes and genotype-to-phenotype correlations in a large, multicenter cohort of children with typical DDS. Methods: We conducted a national retrospective study of all children diagnosed with a pathogenic variant in WT1 exons 8 or 9 in France between 2000 and 2022. Results: Fifty-eight children with DDS and variants in exons 8 (n = 23) and 9 (n = 35) of the WT1 gene were identified. Half of the children presented with NS (57% congenital, median age at presentation 0.3 years [interquartile range, IQR: 0.0–0.6]). Twenty-nine percent of children developed WT at a median age of 1.2 (0.5–2.2) years. Children with a variant in exon 8 developed NS much earlier than those with a variant in exon 9 (P = 0.0048), regardless of the type of genetic variation, leading to earlyier kidney failure (KF) (0.3 vs.1.4 years respectively; P = 0.0001) and higher mortality (35% vs 9%, P = 0.02). More than 90% of the truncating variants were located in exon 9 and were significantly associated with the occurrence of WT compared with the DNA-binding-site variants (P < 0.0015). Conclusion: In our cohort, children's DDS clinical trajectory was associated with exon localization. In the era of genomic newborn screening, depicting genetic risk is of utmost importance for personalized patient care. © 2025 International Society of Nephrolog
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