6 research outputs found
Baseline Description of the Spanish Academy of Dermatology Infantile Haemangioma Nationwide Prospective Cohort. Comparison of Patients Treated with Propranolol in Routine Clinical Practice with Previous Pivotal Clinical Trial Data Descripción basal de la cohorte nacional prospectiva de hemangiomas infantiles de la Academia Española de Dermatología y Venereología. Comparación de los pacientes tratados con propranolol en la práctica clínica rutinaria y los datos del ensayo clínico pivotal previo
Altres ajuts: Fundación Piel Sana AEDV.Background: There are several therapeutic options for infantile haemangiomas (IH). Propranolol is used according to a pivotal trial. We aimed to describe the characteristics of IH in clinical practice, including the therapies used, and to compare the characteristics of patients treated with propranolol with those of the trial to assess its external validity. Methods: Consecutive patients attending 12 Spanish hospitals from June 2016 to October 2019 were included (n = 601). Results: The mean age was 3.9 (SD:1.9) months, with a 2:1 female-to-male ratio. Most IHs were localized (82%, 495), superficial (64%, 383) and located in the face (25%, 157) and trunk (31%, 188). Median size was 17 (IR: 10-30) x 12 (IR: 7-20) mm. Complications were found in 16 (3%) patients. Treatment was initiated for 52% (311). Most patients received timolol (76%, 237); propranolol was reserved for complications or high-risk IHs. Aesthetic impairment was the main reason for starting therapy (64%, 199). Several characteristics of the patients and IHs treated with propranolol are similar to those of the pivotal clinical trial, but 1/3 of IHs did not reach the minimum diameter to meet the inclusion criteria, and important prognostic information was not reported. Conclusions: As most patients receive treatment for aesthetic impairment, there is a need to better understand the aesthetic results of therapies and to increase evidence on the use of timolol, which is currently the most common therapy. Propranolol is being used in a population generally similar to that of the trial; however, this statement cannot be definitely confirmed
Descripción basal de la cohorte nacional prospectiva de hemangiomas infantiles de la Academia Española de Dermatología y Venereología. Comparación de los pacientes tratados con propranolol en la práctica clínica rutinaria y los datos del ensayo clínico pivotal previo.
Background: There are severaltherapeutic options for infantile haemangiomas (IH). Propranolol is used according to a pivotal trial. We aimed to describe the characteristics of IH in clinical practice, including the therapies used, and to compare the characteristics of patients treated with propranolol with those of the trial to assess its external validity.
Methods: Consecutive patients attending 12 Spanish hospitals from June 2016 to October 2019 were included (n = 601).
Results: The mean age was 3.9 (SD:1.9) months, with a 2:1 female-to-male ratio. Most IHs were localized (82%, 495), superficial (64%, 383) and located in the face (25%, 157) and trunk (31%, 188). Median size was 17 (IR: 10-30) x 12 (IR: 7-20) mm. Complications were found in 16 (3%) patients. Treatment was initiated for 52% (311). Most patients received timolol (76%, 237); propranolol was reserved for complications or high-risk IHs. Aesthetic impairment was the main reason for starting therapy (64%, 199). Several characteristics of the patients and IHs treated with propranolol are similar to those of the pivotal clinical trial, but 1/3 of IHs did not reach the minimum diameter to meet the inclusion criteria, and important prognostic information was not reported.
Conclusions: As most patients receive treatment for aesthetic impairment, there is a need to better understand the aesthetic results of therapies and to increase evidence on the use of timolol, which is currently the most common therapy. Propranolol is being used in a population generally similar to that of the trial; however, this statement cannot be definitely confirmed.El estudio ha sido financiado por la Fundación Piel Sana AEDV.YesIntroducción: Existen diversas opciones terapéuticas para los hemangiomas infantiles (HI). El propranolol se utiliza con base en un ensayo pivotal. Nuestro objetivo fue describir las aracterísticas del HI en la práctica clínica, incluyendo las terapias utilizadas, así como com parar las características de los pacientes tratados con propranolol y las de los pacientes del ensayo, para valorar su validez externa.
Métodos: Se incluyó consecutivamente a los pacientes que acudieron a doce hospitales espanoles ˜ desde junio de 2016 a octubre de 2019 (n = 601).
Resultados: La edad media fue de 3,9 (DE:1,9) meses, con una ratio mujer-varón de 2:1. La mayoría de los HI fueron de tipo localizado (82%, 495), superficial (64%, 383) y ubicados en cara (25%, 157) y tronco (31%, 188). El tamano˜ mediano fue de 17 (RI: 10-30) x 12 (RI: 7-20) mm. Se encontraron complicaciones en 16 (3%) pacientes. Se inició tratamiento en el 52% (311) de los casos. La mayoría de los pacientes recibió timolol (76%, 237), reservándose propranolol para las complicaciones o los HI de alto riesgo. El compromiso estético fue el principal motivo de iniciar la terapia (64%, 199). Las diversas características de los pacientes y de los HI tratados con propranolol fueron similares a las del ensayo clínico pivotal, aunque 1/3 de los HI no alcanzó el diámetro mínimo para cumplir los criterios de inclusión, y no se comunicó información pronóstica importante.
Conclusiones: Dado que muchos pacientes reciben tratamiento debido al compromiso estético, existe una necesidad de conocer mejor los resultados estéticos de las terapias e incrementar la evidencia sobre el uso de timolol, que actualmente es la terapia más común. El propranolol está siendo utilizado en una población generalmente similar a la del ensayo; sin embargo, esta afirmación no puede confirmarse de manera definitiva
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GWAS and meta-analysis identifies 49 genetic variants underlying critical COVID-19
Data availability: Downloadable summary data are available through the GenOMICC data site (https://genomicc.org/data). Summary statistics are available, but without the 23andMe summary statistics, except for the 10,000 most significant hits, for which full summary statistics are available. The full GWAS summary statistics for the 23andMe discovery dataset will be made available through 23andMe to qualified researchers under an agreement with 23andMe that protects the privacy of the 23andMe participants. For further information and to apply for access to the data, see the 23andMe website (https://research.23andMe.com/dataset-access/). All individual-level genotype and whole-genome sequencing data (for both academic and commercial uses) can be accessed through the UKRI/HDR UK Outbreak Data Analysis Platform (https://odap.ac.uk). A restricted dataset for a subset of GenOMICC participants is also available through the Genomics England data service. Monocyte RNA-seq data are available under the title ‘Monocyte gene expression data’ within the Oxford University Research Archives (https://doi.org/10.5287/ora-ko7q2nq66). Sequencing data will be made freely available to organizations and researchers to conduct research in accordance with the UK Policy Framework for Health and Social Care Research through a data access agreement. Sequencing data have been deposited at the European Genome–Phenome Archive (EGA), which is hosted by the EBI and the CRG, under accession number EGAS00001007111.Extended data figures and tables are available online at https://www.nature.com/articles/s41586-023-06034-3#Sec21 .Supplementary information is available online at https://www.nature.com/articles/s41586-023-06034-3#Sec22 .Code availability:
Code to calculate the imputation of P values on the basis of SNPs in linkage disequilibrium is available at GitHub (https://github.com/baillielab/GenOMICC_GWAS).Acknowledgements: We thank the members of the Banco Nacional de ADN and the GRA@CE cohort group; and the research participants and employees of 23andMe for making this work possible. A full list of contributors who have provided data that were collated in the HGI project, including previous iterations, is available online (https://www.covid19hg.org/acknowledgements).Change history: 11 July 2023: A Correction to this paper has been published at: https://doi.org/10.1038/s41586-023-06383-z. -- In the version of this article initially published, the name of Ana Margarita Baldión-Elorza, of the SCOURGE Consortium, appeared incorrectly (as Ana María Baldion) and has now been amended in the HTML and PDF versions of the article.Copyright © The Author(s) 2023, Critical illness in COVID-19 is an extreme and clinically homogeneous disease phenotype that we have previously shown1 to be highly efficient for discovery of genetic associations2. Despite the advanced stage of illness at presentation, we have shown that host genetics in patients who are critically ill with COVID-19 can identify immunomodulatory therapies with strong beneficial effects in this group3. Here we analyse 24,202 cases of COVID-19 with critical illness comprising a combination of microarray genotype and whole-genome sequencing data from cases of critical illness in the international GenOMICC (11,440 cases) study, combined with other studies recruiting hospitalized patients with a strong focus on severe and critical disease: ISARIC4C (676 cases) and the SCOURGE consortium (5,934 cases). To put these results in the context of existing work, we conduct a meta-analysis of the new GenOMICC genome-wide association study (GWAS) results with previously published data. We find 49 genome-wide significant associations, of which 16 have not been reported previously. To investigate the therapeutic implications of these findings, we infer the structural consequences of protein-coding variants, and combine our GWAS results with gene expression data using a monocyte transcriptome-wide association study (TWAS) model, as well as gene and protein expression using Mendelian randomization. We identify potentially druggable targets in multiple systems, including inflammatory signalling (JAK1), monocyte–macrophage activation and endothelial permeability (PDE4A), immunometabolism (SLC2A5 and AK5), and host factors required for viral entry and replication (TMPRSS2 and RAB2A).GenOMICC was funded by Sepsis Research (the Fiona Elizabeth Agnew Trust), the Intensive Care Society, a Wellcome Trust Senior Research Fellowship (to J.K.B., 223164/Z/21/Z), the Department of Health and Social Care (DHSC), Illumina, LifeArc, the Medical Research Council, UKRI, a BBSRC Institute Program Support Grant to the Roslin Institute (BBS/E/D/20002172, BBS/E/D/10002070 and BBS/E/D/30002275) and UKRI grants MC_PC_20004, MC_PC_19025, MC_PC_1905 and MRNO2995X/1. A.D.B. acknowledges funding from the Wellcome PhD training fellowship for clinicians (204979/Z/16/Z), the Edinburgh Clinical Academic Track (ECAT) programme. This research is supported in part by the Data and Connectivity National Core Study, led by Health Data Research UK in partnership with the Office for National Statistics and funded by UK Research and Innovation (grant MC_PC_20029). Laboratory work was funded by a Wellcome Intermediate Clinical Fellowship to B.F. (201488/Z/16/Z). We acknowledge the staff at NHS Digital, Public Health England and the Intensive Care National Audit and Research Centre who provided clinical data on the participants; and the National Institute for Healthcare Research Clinical Research Network (NIHR CRN) and the Chief Scientist’s Office (Scotland), who facilitate recruitment into research studies in NHS hospitals, and to the global ISARIC and InFACT consortia. GenOMICC genotype controls were obtained using UK Biobank Resource under project 788 funded by Roslin Institute Strategic Programme Grants from the BBSRC (BBS/E/D/10002070 and BBS/E/D/30002275) and Health Data Research UK (HDR-9004 and HDR-9003). UK Biobank data were used in the GSMR analyses presented here under project 66982. The UK Biobank was established by the Wellcome Trust medical charity, Medical Research Council, Department of Health, Scottish Government and the Northwest Regional Development Agency. It has also had funding from the Welsh Assembly Government, British Heart Foundation and Diabetes UK. The work of L.K. was supported by an RCUK Innovation Fellowship from the National Productivity Investment Fund (MR/R026408/1). J.Y. is supported by the Westlake Education Foundation. SCOURGE is funded by the Instituto de Salud Carlos III (COV20_00622 to A.C., PI20/00876 to C.F.), European Union (ERDF) ‘A way of making Europe’, Fundación Amancio Ortega, Banco de Santander (to A.C.), Cabildo Insular de Tenerife (CGIEU0000219140 ‘Apuestas científicas del ITER para colaborar en la lucha contra la COVID-19’ to C.F.) and Fundación Canaria Instituto de Investigación Sanitaria de Canarias (PIFIISC20/57 to C.F.). We also acknowledge the contribution of the Centro National de Genotipado (CEGEN) and Centro de Supercomputación de Galicia (CESGA) for funding this project by providing supercomputing infrastructures. A.D.L. is a recipient of fellowships from the National Council for Scientific and Technological Development (CNPq)-Brazil (309173/2019-1 and 201527/2020-0)