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
Main Authors: Mehta, Atul, Kuter, David J., Salek, Sam S., Belmatoug, Nadia, Bembi, Bruno, Bright, Jeremy, vom Dahl, Stephan, Deodato, Federica, Di Rocco, Maja, Göker‐Alpan, Ozlem, Hughes, Derralynn A., Lukina, Elena A., Machaczka, Maciej, Mengel, Eugen, Nagral, Aabha, Nakamura, Kimitoshi, Narita, Aya, Oliveri, Beatriz, Pastores, Gregory, Pérez‐López, Jordi, Ramaswami, Uma, Schwartz, Ida V., Szer, Jeff, Weinreb, Neal J., Zimran, Ari
Format: Journal Article
Language:English
Published: Melbourne John Wiley & Sons Australia, Ltd 01.05.2019
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ISSN:1444-0903, 1445-5994, 1445-5994
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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.
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
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ContentType Journal Article
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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Issue 5
Keywords inborn error
metabolism
lysosomal storage disease
thrombocytopenia
splenomegaly
algorithm
Language English
License Attribution-NonCommercial-NoDerivs
2018 The Authors. Internal Medicine Journal by Wiley Publishing Asia Pty Ltd on behalf of Royal Australasian College of Physicians.
This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
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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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Snippet 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...
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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StartPage 578
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
URI https://onlinelibrary.wiley.com/doi/abs/10.1111%2Fimj.14156
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Volume 49
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