Presenting signs and patient co‐variables in Gaucher disease: outcome of the Gaucher Earlier Diagnosis Consensus (GED‐C) Delphi initiative
Background Gaucher disease (GD) presents with a range of signs and symptoms. Physicians can fail to recognise the early stages of GD owing to a lack of disease awareness, which can lead to significant diagnostic delays and sometimes irreversible but avoidable morbidities. Aim The Gaucher Earlier Dia...
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| Published in: | Internal medicine journal Vol. 49; no. 5; pp. 578 - 591 |
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| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , |
| Format: | Journal Article |
| Language: | English |
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Melbourne
John Wiley & Sons Australia, Ltd
01.05.2019
Wiley Subscription Services, Inc |
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| ISSN: | 1444-0903, 1445-5994, 1445-5994 |
| Online Access: | Get full text |
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| Abstract | Background
Gaucher disease (GD) presents with a range of signs and symptoms. Physicians can fail to recognise the early stages of GD owing to a lack of disease awareness, which can lead to significant diagnostic delays and sometimes irreversible but avoidable morbidities.
Aim
The Gaucher Earlier Diagnosis Consensus (GED‐C) initiative aimed to identify signs and co‐variables considered most indicative of early type 1 and type 3 GD, to help non‐specialists identify ‘at‐risk’ patients who may benefit from diagnostic testing.
Methods
An anonymous, three‐round Delphi consensus process was deployed among a global panel of 22 specialists in GD (median experience 17.5 years, collectively managing almost 3000 patients). The rounds entailed data gathering, then importance ranking and establishment of consensus, using 5‐point Likert scales and scoring thresholds defined a priori.
Results
For type 1 disease, seven major signs (splenomegaly, thrombocytopenia, bone‐related manifestations, anaemia, hyperferritinaemia, hepatomegaly and gammopathy) and two major co‐variables (family history of GD and Ashkenazi‐Jewish ancestry) were identified. For type 3 disease, nine major signs (splenomegaly, oculomotor disturbances, thrombocytopenia, epilepsy, anaemia, hepatomegaly, bone pain, motor disturbances and kyphosis) and one major co‐variable (family history of GD) were identified. Lack of disease awareness, overlooking mild early signs and failure to consider GD as a diagnostic differential were considered major barriers to early diagnosis.
Conclusion
The signs and co‐variables identified in the GED‐C initiative as potentially indicative of early GD will help to guide non‐specialists and raise their index of suspicion in identifying patients potentially suitable for diagnostic testing for GD. |
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| AbstractList | Gaucher disease (GD) presents with a range of signs and symptoms. Physicians can fail to recognise the early stages of GD owing to a lack of disease awareness, which can lead to significant diagnostic delays and sometimes irreversible but avoidable morbidities.BACKGROUNDGaucher disease (GD) presents with a range of signs and symptoms. Physicians can fail to recognise the early stages of GD owing to a lack of disease awareness, which can lead to significant diagnostic delays and sometimes irreversible but avoidable morbidities.The Gaucher Earlier Diagnosis Consensus (GED-C) initiative aimed to identify signs and co-variables considered most indicative of early type 1 and type 3 GD, to help non-specialists identify 'at-risk' patients who may benefit from diagnostic testing.AIMThe Gaucher Earlier Diagnosis Consensus (GED-C) initiative aimed to identify signs and co-variables considered most indicative of early type 1 and type 3 GD, to help non-specialists identify 'at-risk' patients who may benefit from diagnostic testing.An anonymous, three-round Delphi consensus process was deployed among a global panel of 22 specialists in GD (median experience 17.5 years, collectively managing almost 3000 patients). The rounds entailed data gathering, then importance ranking and establishment of consensus, using 5-point Likert scales and scoring thresholds defined a priori.METHODSAn anonymous, three-round Delphi consensus process was deployed among a global panel of 22 specialists in GD (median experience 17.5 years, collectively managing almost 3000 patients). The rounds entailed data gathering, then importance ranking and establishment of consensus, using 5-point Likert scales and scoring thresholds defined a priori.For type 1 disease, seven major signs (splenomegaly, thrombocytopenia, bone-related manifestations, anaemia, hyperferritinaemia, hepatomegaly and gammopathy) and two major co-variables (family history of GD and Ashkenazi-Jewish ancestry) were identified. For type 3 disease, nine major signs (splenomegaly, oculomotor disturbances, thrombocytopenia, epilepsy, anaemia, hepatomegaly, bone pain, motor disturbances and kyphosis) and one major co-variable (family history of GD) were identified. Lack of disease awareness, overlooking mild early signs and failure to consider GD as a diagnostic differential were considered major barriers to early diagnosis.RESULTSFor type 1 disease, seven major signs (splenomegaly, thrombocytopenia, bone-related manifestations, anaemia, hyperferritinaemia, hepatomegaly and gammopathy) and two major co-variables (family history of GD and Ashkenazi-Jewish ancestry) were identified. For type 3 disease, nine major signs (splenomegaly, oculomotor disturbances, thrombocytopenia, epilepsy, anaemia, hepatomegaly, bone pain, motor disturbances and kyphosis) and one major co-variable (family history of GD) were identified. Lack of disease awareness, overlooking mild early signs and failure to consider GD as a diagnostic differential were considered major barriers to early diagnosis.The signs and co-variables identified in the GED-C initiative as potentially indicative of early GD will help to guide non-specialists and raise their index of suspicion in identifying patients potentially suitable for diagnostic testing for GD.CONCLUSIONThe signs and co-variables identified in the GED-C initiative as potentially indicative of early GD will help to guide non-specialists and raise their index of suspicion in identifying patients potentially suitable for diagnostic testing for GD. BackgroundGaucher disease (GD) presents with a range of signs and symptoms. Physicians can fail to recognise the early stages of GD owing to a lack of disease awareness, which can lead to significant diagnostic delays and sometimes irreversible but avoidable morbidities.AimThe Gaucher Earlier Diagnosis Consensus (GED‐C) initiative aimed to identify signs and co‐variables considered most indicative of early type 1 and type 3 GD, to help non‐specialists identify ‘at‐risk’ patients who may benefit from diagnostic testing.MethodsAn anonymous, three‐round Delphi consensus process was deployed among a global panel of 22 specialists in GD (median experience 17.5 years, collectively managing almost 3000 patients). The rounds entailed data gathering, then importance ranking and establishment of consensus, using 5‐point Likert scales and scoring thresholds defined a priori.ResultsFor type 1 disease, seven major signs (splenomegaly, thrombocytopenia, bone‐related manifestations, anaemia, hyperferritinaemia, hepatomegaly and gammopathy) and two major co‐variables (family history of GD and Ashkenazi‐Jewish ancestry) were identified. For type 3 disease, nine major signs (splenomegaly, oculomotor disturbances, thrombocytopenia, epilepsy, anaemia, hepatomegaly, bone pain, motor disturbances and kyphosis) and one major co‐variable (family history of GD) were identified. Lack of disease awareness, overlooking mild early signs and failure to consider GD as a diagnostic differential were considered major barriers to early diagnosis.ConclusionThe signs and co‐variables identified in the GED‐C initiative as potentially indicative of early GD will help to guide non‐specialists and raise their index of suspicion in identifying patients potentially suitable for diagnostic testing for GD. Background Gaucher disease (GD) presents with a range of signs and symptoms. Physicians can fail to recognise the early stages of GD owing to a lack of disease awareness, which can lead to significant diagnostic delays and sometimes irreversible but avoidable morbidities. Aim The Gaucher Earlier Diagnosis Consensus (GED‐C) initiative aimed to identify signs and co‐variables considered most indicative of early type 1 and type 3 GD, to help non‐specialists identify ‘at‐risk’ patients who may benefit from diagnostic testing. Methods An anonymous, three‐round Delphi consensus process was deployed among a global panel of 22 specialists in GD (median experience 17.5 years, collectively managing almost 3000 patients). The rounds entailed data gathering, then importance ranking and establishment of consensus, using 5‐point Likert scales and scoring thresholds defined a priori. Results For type 1 disease, seven major signs (splenomegaly, thrombocytopenia, bone‐related manifestations, anaemia, hyperferritinaemia, hepatomegaly and gammopathy) and two major co‐variables (family history of GD and Ashkenazi‐Jewish ancestry) were identified. For type 3 disease, nine major signs (splenomegaly, oculomotor disturbances, thrombocytopenia, epilepsy, anaemia, hepatomegaly, bone pain, motor disturbances and kyphosis) and one major co‐variable (family history of GD) were identified. Lack of disease awareness, overlooking mild early signs and failure to consider GD as a diagnostic differential were considered major barriers to early diagnosis. Conclusion The signs and co‐variables identified in the GED‐C initiative as potentially indicative of early GD will help to guide non‐specialists and raise their index of suspicion in identifying patients potentially suitable for diagnostic testing for GD. Gaucher disease (GD) presents with a range of signs and symptoms. Physicians can fail to recognise the early stages of GD owing to a lack of disease awareness, which can lead to significant diagnostic delays and sometimes irreversible but avoidable morbidities. The Gaucher Earlier Diagnosis Consensus (GED-C) initiative aimed to identify signs and co-variables considered most indicative of early type 1 and type 3 GD, to help non-specialists identify 'at-risk' patients who may benefit from diagnostic testing. An anonymous, three-round Delphi consensus process was deployed among a global panel of 22 specialists in GD (median experience 17.5 years, collectively managing almost 3000 patients). The rounds entailed data gathering, then importance ranking and establishment of consensus, using 5-point Likert scales and scoring thresholds defined a priori. For type 1 disease, seven major signs (splenomegaly, thrombocytopenia, bone-related manifestations, anaemia, hyperferritinaemia, hepatomegaly and gammopathy) and two major co-variables (family history of GD and Ashkenazi-Jewish ancestry) were identified. For type 3 disease, nine major signs (splenomegaly, oculomotor disturbances, thrombocytopenia, epilepsy, anaemia, hepatomegaly, bone pain, motor disturbances and kyphosis) and one major co-variable (family history of GD) were identified. Lack of disease awareness, overlooking mild early signs and failure to consider GD as a diagnostic differential were considered major barriers to early diagnosis. The signs and co-variables identified in the GED-C initiative as potentially indicative of early GD will help to guide non-specialists and raise their index of suspicion in identifying patients potentially suitable for diagnostic testing for GD. |
| Author | Machaczka, Maciej Kuter, David J. Szer, Jeff Mengel, Eugen Pastores, Gregory Bright, Jeremy Oliveri, Beatriz Nagral, Aabha Salek, Sam S. Narita, Aya Ramaswami, Uma Lukina, Elena A. Nakamura, Kimitoshi Belmatoug, Nadia Bembi, Bruno vom Dahl, Stephan Zimran, Ari Pérez‐López, Jordi Di Rocco, Maja Hughes, Derralynn A. Göker‐Alpan, Ozlem Schwartz, Ida V. Deodato, Federica Mehta, Atul Weinreb, Neal J. |
| AuthorAffiliation | 18 Department of Child Neurology Faculty of Medicine, Tottori University Yon ago Japan 6 Research Evaluation Unit Oxford PharmaGenesis Ltd Oxford UK 16 Department of Gastroenterology Apollo Hospital Mumbai India 23 Department of Clinical Haematology, Bone Marrow Transplant Service The Royal Melbourne Hospital Melbourne Victoria Australia 15 Department of Gastroenterology Jaslok Hospital and Research Centre Mumbai India 7 Department of Gastroenterology, Hepatology and Infectious Diseases Heinrich‐Heine University Düsseldorf Germany 24 Department of Human Genetics and Medicine (Hematology) University of Miami Miller School of Medicine, UHealth Sylvester Coral Springs Coral Springs Florida USA 3 School of Life and Medical Sciences, University of Hertfordshire Hatfield UK 22 Medical Genetics Service – HCPA, Genetics Department UFRGS Porto Alegre Brazil 1 Lysosomal Storage Disorders Unit, Department of Haematology Royal Free Hospital, UCL Medical School London UK 25 Shaare Zedek Medical Center and Ha |
| AuthorAffiliation_xml | – name: 13 Department of Medicine at Huddinge Hematology Center Karolinska, Karolinska Institute, Karolinska University Hospital Huddinge Stockholm Sweden – name: 19 Osteoporosis and Metabolic Bone Diseases Laboratory, Institute of Immunology, Genetics, and Metabolism (INIGEM) CONICET ‐ UBA Buenos Aires Argentina – name: 12 Medical Faculty University of Rzeszow Rzeszow Poland – name: 18 Department of Child Neurology Faculty of Medicine, Tottori University Yon ago Japan – name: 21 Unit of Rare Diseases, Hospital Vall d'Hebron Barcelona Spain – name: 23 Department of Clinical Haematology, Bone Marrow Transplant Service The Royal Melbourne Hospital Melbourne Victoria Australia – name: 7 Department of Gastroenterology, Hepatology and Infectious Diseases Heinrich‐Heine University Düsseldorf Germany – name: 3 School of Life and Medical Sciences, University of Hertfordshire Hatfield UK – name: 5 Centre for Rare Diseases Academic Medical Centre Hospital of Udine Udine Italy – name: 14 Villa Metabolica Center of Pediatric and Adolescent Medicine, University Medical Center of the Johannes Gutenberg University Mainz Mainz Germany – name: 15 Department of Gastroenterology Jaslok Hospital and Research Centre Mumbai India – name: 6 Research Evaluation Unit Oxford PharmaGenesis Ltd Oxford UK – name: 11 Department of Orphan Diseases National Research Center for Hematology Moscow Russia – name: 1 Lysosomal Storage Disorders Unit, Department of Haematology Royal Free Hospital, UCL Medical School London UK – name: 25 Shaare Zedek Medical Center and Hadassah Medical School Jerusalem Israel – name: 22 Medical Genetics Service – HCPA, Genetics Department UFRGS Porto Alegre Brazil – name: 24 Department of Human Genetics and Medicine (Hematology) University of Miami Miller School of Medicine, UHealth Sylvester Coral Springs Coral Springs Florida USA – name: 20 University College Dublin, The Mater Misericordiae University Hospital Dublin Ireland – name: 16 Department of Gastroenterology Apollo Hospital Mumbai India – name: 8 Division of Metabolism, Department of Pediatric Specialist Bambino Gesù Children's Hospital, IRCCS Rome Italy – name: 10 Lysosomal Disorders Unit and CFCT O and O Alpan LLC Fairfax Virginia USA – name: 9 Unit of Rare Diseases, Department of Pediatrics IRCCS Giannina Gaslini Institute Genoa Italy – name: 17 Department of Pediatrics Graduate School of Medical Sciences, Kumamoto University Kumamoto Japan – name: 26 Hadassah Medical School Jerusalem Israel – name: 4 Referral Center for Lysosomal Diseases, University Hospital Paris Nord Val de Seine, site Beaujon, Clichy Paris France – name: 2 Center for Hematology Massachusetts General Hospital, Harvard Medical School Boston Massachusetts USA |
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| Copyright | 2018 The Authors. Internal Medicine Journal by Wiley Publishing Asia Pty Ltd on behalf of Royal Australasian College of Physicians. 2019 Royal Australasian College of Physicians |
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| Keywords | inborn error metabolism lysosomal storage disease thrombocytopenia splenomegaly algorithm |
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| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 ObjectType-Review-3 content type line 23 Funding: This research was funded by unrestricted independent medical education grants (CME‐GBR‐12915 and IME‐GBR‐14397) from Shire International GmbH. Conflict of interest: A. Mehta has received consulting fees from Amicus, Pfizer, Sanofi Genzyme and Shire, and has received research funding from Amicus, Protalix, Rigel, Sanofi Genzyme and Shire. D. J. Kuter has received consulting fees and research funding from Actelion, Genzyme, Protalix/Pfizer and Shire. S. S. Salek has received consulting fees and travel grants from Servier and Shire, and has received research funding from Bristol‐Myers Squibb, Novartis and Sanofi. N. Belmatoug has received fees for lectures, travel reimbursement and participation on advisory boards and scientific committees from Sanofi Genzyme and Shire. B. Bembi has received consulting fees and/or research support from Actelion, Genzyme and Shire. J. Bright was an employee of Oxford PharmaGenesis Ltd at the time this work was conducted. S. vom Dahl has received consulting fees, research funding and travel reimbursement from Actelion, Genzyme, Protalix/Pfizer and Shire. F. Deodato has received fees from Actelion, Sanofi Genzyme and Shire for lectures, participation on advisory boards and travel reimbursement. M. Di Rocco has received honoraria from Sanofi Genzyme and Shire. O. Göker‐Alpan has received consulting fees from Actelion, Genzyme, Pfizer and Shire, and research support from Alexion, Amicus, Genzyme, Pfizer and Shire. D. A. Hughes has received consultancy fees, honoraria and research support from Actellion, Amicus, Protalix, Sanofi Genzyme and Shire. E. A. Lukina has received honoraria from Sanofi Genzyme and Shire. M. Machaczka has received honoraria from Sanofi Genzyme and Shire. E. Mengel has received honoraria and/or consulting fees from Actelion, Alexion, BioMarin, Orphazyme, Sanofi Genzyme and Shire. A. Nagral has received travel reimbursement from Sanofi Genzyme. K. Nakamura has received honoraria from Shire and research funding from Sanofi Genzyme and Shire. A. Narita has received research funding from Actelion, Sanofi Genzyme and Shire and fees for attending advisory boards from Actelion, BioMarin, Sanofi Genzyme and Shire. B. Oliveri has received honoraria from GlaxoSmithKline and Shire. G. Pastores has received honoraria and/or consulting fees from BioMarin and Shire. J. Pérez‐López has received honoraria and/or consulting fees from BioMarin, Sanofi Genzyme and Shire. U. Ramaswami has received travel, research grants and/or honoraria from Amicus, Alexion, Genzyme, Protalix and Shire. I. Schwartz has received honoraria from Shire. J. Szer has received honoraria from Alexion and travel grants from Pfizer, Sanofi Genzyme and Shire. N. J. Weinreb has received honoraria and research support from Genzyme‐Sanofi, Pfizer and Shire. A. Zimran has received consulting fees and/or research support from Genzyme, Pfizer and Shire. |
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Gaucher disease (GD) presents with a range of signs and symptoms. Physicians can fail to recognise the early stages of GD owing to a lack of disease... Gaucher disease (GD) presents with a range of signs and symptoms. Physicians can fail to recognise the early stages of GD owing to a lack of disease awareness,... BackgroundGaucher disease (GD) presents with a range of signs and symptoms. Physicians can fail to recognise the early stages of GD owing to a lack of disease... |
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| SubjectTerms | algorithm Anemia Consensus Delphi Technique Diagnosis Diagnostic tests Early Diagnosis Epilepsy Family medical history Gammopathy Gaucher Disease - diagnosis Gaucher Disease - physiopathology Gaucher's disease Humans inborn error Kyphosis lysosomal storage disease metabolism Original Physicians - standards Splenomegaly Thrombocytopenia Variables |
| Title | Presenting signs and patient co‐variables in Gaucher disease: outcome of the Gaucher Earlier Diagnosis Consensus (GED‐C) Delphi initiative |
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