Literature DB >> 30414226

Presenting signs and patient co-variables in Gaucher disease: outcome of the Gaucher Earlier Diagnosis Consensus (GED-C) Delphi initiative.

Atul Mehta1, David J Kuter2, Sam S Salek3, Nadia Belmatoug4, Bruno Bembi5, Jeremy Bright6, Stephan Vom Dahl7, Federica Deodato8, Maja Di Rocco9, Ozlem Göker-Alpan10, Derralynn A Hughes1, Elena A Lukina11, Maciej Machaczka12,13, Eugen Mengel14, Aabha Nagral15,16, Kimitoshi Nakamura17, Aya Narita18, Beatriz Oliveri19, Gregory Pastores20, Jordi Pérez-López21, Uma Ramaswami1, Ida V Schwartz22, Jeff Szer23, Neal J Weinreb24, Ari Zimran25,26.   

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.
© 2018 The Authors. Internal Medicine Journal by Wiley Publishing Asia Pty Ltd on behalf of Royal Australasian College of Physicians.

Entities:  

Keywords:  algorithm; inborn error; lysosomal storage disease; metabolism; splenomegaly; thrombocytopenia

Year:  2019        PMID: 30414226      PMCID: PMC6852187          DOI: 10.1111/imj.14156

Source DB:  PubMed          Journal:  Intern Med J        ISSN: 1444-0903            Impact factor:   2.048


Introduction

Gaucher disease (GD) is an autosomal recessive, genetic disease that reduces levels of the enzyme glucocerebrosidase in the lysosome. Glucocerebrosidase is a key enzyme in the catabolism of the sphingolipid glucosylceramide, and deficiency of this enzyme results in accumulation of glucosylceramide in macrophages, which then accumulate in the bone marrow, liver, lungs, spleen and brain.1 At least 200 pathogenic variants of the glucocerebrosidase gene have been identified.2 Patients with GD may present with a broad range of signs and symptoms, and a continuum of disease severity is observed. The three disease phenotypes (GD types 1–3) are also diverse,3 ranging from cases that are lethal within a few months from birth,4 to mild or asymptomatic forms in which symptoms may not appear until as late as the eighth decade of life.3, 5 Most patients present with the non‐neuronopathic type 1 form (with a prevalence of 1 in 40 000–60 000 in the general population rising to approximately 1 in 850 among individuals with Ashkenazi Jewish ancestry),6, 7, 8 and may experience clinical problems, including bone pain, bone fracture, osteoporosis, anaemia, thrombocytopenia, reduced growth, thrombocytopenia, bleeding, anaemia and hepatosplenomegaly. Neurological complications are rarely seen in type 1 disease but are more common in types 2–3. Given its rarity and heterogeneous nature, identifying patients for GD diagnostic testing remains a challenge in clinical practice (see case study in Fig. 1),9 and it is common for patients to experience substantial delays between symptom onset and diagnosis. In a UK‐based retrospective review (n = 86), the median time from first symptoms to diagnosis was 2 years (range: 0.5–26.0 years) and was 5.0 years or longer for almost one‐fifth of patients.10 Possible reasons for exclusion of GD from differential diagnoses may be poor disease awareness among clinicians or because investigation of other diagnostic possibilities associated with greater mortality takes precedence.9, 10, 11 Differential diagnoses may also be impeded by multiple referrals among medical specialists before a correct diagnosis is reached. Patients may visit up to eight (mean: 3.0) different specialists, including internists, paediatricians, haematologists, medical oncologists, gastroenterologists, geneticists, neurologists, obstetricians/gynaecologists, orthopaedists and rheumatologists.11
Figure 1

Type 1 Gaucher disease case study.

Type 1 Gaucher disease case study. Diagnostic delays may lead to irreversible or preventable GD complications such as avascular necrosis, chronic bone pain, pathologic fractures, growth failure, life‐threatening sepsis, liver abnormalities and severe bleeding.11 In addition, patients often undergo unnecessary, invasive investigations (e.g. liver and bone marrow biopsies or splenectomy) before GD is diagnosed.11 The potential for such delays to impact on patient morbidity and quality of life is supported by the emergence of evidence on the benefits of early diagnosis.12 A GD diagnosis is confirmed with enzymatic and/or blood‐based genetic tests,1 but awareness among non‐specialists of available diagnostic services and regional differences in availability and in cost generally exclude GD testing from routine bloodwork. Algorithms have been developed to promote timely diagnosis of GD but they are typically aimed at specialists.13, 14 There is no consensus or guideline for identifying patients who may have early‐stage GD that is suited to non‐GD specialists. The Gaucher Earlier Diagnosis Consensus (GED‐C) initiative is an ongoing global project that has applied Delphi methodology15, 16, 17 to build expert consensus on aspects relating to diagnosis and management of GD. Here, we summarise findings from the GED‐C initiative regarding consensus on signs and patient co‐variables suggestive of early type 1 or type 3 GD, on the most important barriers to early GD diagnosis, and on the likely impact of the initiative on patients and clinicians. We also propose some guidance for non‐specialists to help them both identify patients who may have GD and confirm or discount GD in the differential diagnosis.

Methods

The iterative Delphi process is summarised in Figure 2. Consensus is often reached within three rounds.15, 16, 17
Figure 2

The Gaucher Earlier Diagnosis Consensus initiative Delphi methodology.

The Gaucher Earlier Diagnosis Consensus initiative Delphi methodology.

Selection of Chairs and expert panel

Three co‐Chairs were appointed: two clinical co‐Chairs recognised globally as leading GD experts, and one non‐clinical Chair with expertise in Delphi techniques who provided critical methodological input. The clinical co‐Chairs nominated individuals with established GD expertise (e.g. relevant research activities, participation in GD management initiatives or authorship of peer‐reviewed publications) to form the voting panel. Nominated individuals were recruited by an independent third‐party administrator (Oxford PharmaGenesis Ltd, Oxford, UK) and asked to respond independently to questions and remained anonymous to each other throughout the process. Based on published estimates that Delphi studies typically enrol 15–20 participants,17 it was agreed a priori that a panel of 22 experts was needed to provide adequate study power in case of dropouts.

Delphi process

All stages were overseen by the Chairs and conducted by the independent administrator. The administrator gathered the panel members’ responses using an online survey platform (SurveyMonkey, SurveyMonkey Europe, Dublin, Ireland) and blinded data before sharing with the co‐Chairs. In round 1 (Supporting Information Appendix S1), the expert panel provided free‐text answers to open questions about: clinical signs and co‐variables considered indicative of early type 1 or type 3 GD; barriers to diagnosis of GD; and the potential impact of the GED‐C initiative. ‘Early’ disease was defined as the time before symptoms impacted significantly on the quality of life. The administrator grouped responses from round 1 into similar themes, which the co‐Chairs checked, revised and consolidated into factors (for clinical signs and co‐variables) or statements (for ‘barriers to early GD diagnosis’ and ‘impact of the GED‐C initiative’). In round 2 (Appendix S2), the panel rated the importance of each factor or statement using a 5‐point Likert scale (1, not important; 2, slightly important; 3, important; 4, very important; 5, extremely important). Factors or statements awarded an importance score of 3 or more by more than 75% of respondents were taken to round 3. Factors not reaching this threshold were classified as ‘minor’; statements not reaching this threshold were excluded. In round 3 (Appendix S3), panel members indicated their level of agreement with each factor or statement using a 5‐point pivoted Likert scale (1, strongly disagree; 2, disagree; 3, neither agree nor disagree; 4, agree; 5, strongly agree). Consensus was defined a priori as more than 67% of the panel awarding an agreement score of 4 or more. Factors meeting these criteria were classified as major, otherwise as minor. Statements not meeting these criteria were excluded.

Statistical analyses

All data are reported descriptively owing to the exploratory (non‐hypothesis testing) nature of the study.

Literature review of presenting signs in GD at diagnosis

In parallel with the Delphi consensus, a comprehensive literature search was performed to compile evidence for the most common presenting signs at GD diagnosis. A detailed methodology is provided in Appendix S4.

Ethical approval

No patient data were required for conduct of this study, so no ethical approval was sought.

Results

Demographic and clinical practice information for the GED‐C expert panel

The expert panel comprised 22 practising physicians, representing 16 different countries (Argentina, Australia, Brazil, France, Germany, India, Ireland, Israel, Italy, Japan, The Netherlands, Russia, Spain, Sweden, UK and USA). All members had experience of managing type 1 GD, 19 also having managed type 3 GD. None had managed only type 3 GD, and experience of type 2 GD was not recorded. Collectively, the panel had more than 400 years of GD management experience (median, 17.5 years (range 6–40 years)) and had treated nearly 3000 patients with GD. Medical specialities of the expert panel represented those of physicians who would typically encounter patients with GD or who would confirm a diagnosis, including haematologists, paediatricians and experts in inborn errors of metabolism (Fig. 3). The panel members practised in public teaching/non‐teaching hospitals (n = 17), or in private hospitals/clinics/research centres (n = 5). For all questions, a response rate of 100% was achieved at each round of the consensus.
Figure 3

Characteristics of the experts involved in the Gaucher Earlier Diagnosis Consensus initiative (n = 22). (A) Years of experience in managing patients with Gaucher disease; (B) number of patients the expert has treated; (C) clinical specialty.

Characteristics of the experts involved in the Gaucher Earlier Diagnosis Consensus initiative (n = 22). (A) Years of experience in managing patients with Gaucher disease; (B) number of patients the expert has treated; (C) clinical specialty.

Presenting signs and patient co‐variables in early type 1 GD

For presenting signs in early type 1 GD, 84 individual free‐text phrases were supplied in round 1 and grouped into 29 themes. Seven themes (i.e. dental problems, depression, elevated β2‐microglobulin levels, elevated chitotriosidase levels, generalised pain, liver cirrhosis including abnormal liver function tests, and lymphadenopathy) were discarded as being either of low diagnostic value in GD or unlikely to be available in a patient's history. A further four themes were merged with others to yield 18 consolidated themes (termed ‘factors’) for assessment in round 2 (Appendix S5). Eight factors met the importance criteria in round 2 and were taken forward to round 3, in which consensus was reached on seven; these factors were classified as major signs. Of the remaining 11 factors from rounds 2 and 3, nine were classified as minor signs, and two were discounted as being of low relevance in early type 1 GD (Table 1).
Table 1

Presenting clinical signs and co‐variables in early type 1 GD

Round 2Round 3
Importance score (Likert scale: 1–5) Agreement score (Likert scale: 1–5)
Mean scoreMedian scoreRespondents (%)§ Mean scoreMedian scoreRespondents (%)§
Clinical signs
MajorSplenomegaly4.7751004.865100
Thrombocytopenia4.455954.68591
Bone issues including pain, crises, AVN and fractures4.004914.45591
Anaemia3.774954.05486
Hepatomegaly3.683.5953.95477
Elevated ferritin levels3.504824.05486
Gammopathy – monoclonal or polyclonal3.233823.64473
MinorBleeding, bruising or coagulopathy3.594863.68464
Elevated serum angiotensin‐converting enzyme levels3.183.564
Growth retardation including low body weight3.00373
Low bone mineral density2.95359
Fatigue2.82364
Asthenia2.592.550
Leukopenia2.50355
Gallstones2.32245
Dyslipidaemia2.27236
DiscountedNeonatal cholestasis1.7329
Elevated bilirubin levels1.681.514
Co‐variables
MajorFamily history of GD4.274.5954.45591
Jewish ancestry3.914864.18486
MinorFamily history of PD3.14373

Signs and co‐variables that did not meet the threshold for importance (a score of ≥3 by >75% of respondents) were classified as minor and not taken forward to round 3 for agreement rating. Signs and co‐variables that met the threshold for agreement in round 3 (a score of ≥4 by >67% of respondents) were classified as major; any that did not meet this threshold were classified as minor. Certain low‐scoring signs were discounted as being of little relevance in early type 1 GD.

The Likert scale used for importance rating in round 2 was: 1 = not important; 2 = slightly important; 3 = important; 4 = very important; 5 = extremely important.

The Likert scale used for agreement rating in round 3 was: 1 = strongly disagree; 2 = disagree; 3 = neither agree nor disagree; 4 = agree; 5 = strongly agree.

Percentage of respondents (n = 22) is the proportion awarding a Likert scale score that met the selection criteria in each round.

AVN, avascular necrosis; GD, Gaucher disease; PD, Parkinson disease.

Presenting clinical signs and co‐variables in early type 1 GD Signs and co‐variables that did not meet the threshold for importance (a score of ≥3 by >75% of respondents) were classified as minor and not taken forward to round 3 for agreement rating. Signs and co‐variables that met the threshold for agreement in round 3 (a score of ≥4 by >67% of respondents) were classified as major; any that did not meet this threshold were classified as minor. Certain low‐scoring signs were discounted as being of little relevance in early type 1 GD. The Likert scale used for importance rating in round 2 was: 1 = not important; 2 = slightly important; 3 = important; 4 = very important; 5 = extremely important. The Likert scale used for agreement rating in round 3 was: 1 = strongly disagree; 2 = disagree; 3 = neither agree nor disagree; 4 = agree; 5 = strongly agree. Percentage of respondents (n = 22) is the proportion awarding a Likert scale score that met the selection criteria in each round. AVN, avascular necrosis; GD, Gaucher disease; PD, Parkinson disease. Similarly, for patient co‐variables in early type 1 GD, 20 individual free‐text phrases were provided and grouped into nine themes. Two themes were discarded owing to their rarity (blood relative who died of foetal hydrops and/or with diagnosis of neonatal sepsis of uncertain aetiology; and child of consanguineous parents), and two were discarded for being of low diagnostic power in type 1 GD (age ≤18 years; age >18 years). Consolidation of the themes, including merging two themes with others, left three factors for consideration in round 2 (Appendix S6). Two factors met the importance criteria and were taken forward to round 3, and both met the consensus criteria. These two factors were classified as major co‐variables and the remaining factor as a minor co‐variable (Table 1).

Presenting signs and patient co‐variables in early type 3 GD

The panel provided 55 individual free‐text phrases relating to early type 3 GD signs, and these were grouped into 24 themes. Six themes were discarded as being of low diagnostic power (dysphagia, elevated serum acid phosphatase levels, gallstones, lymphadenopathy, paraesthesia and recurrent viral illness), leaving 18 factors for consideration in round 2 (Appendix S7). Of 13 factors that met the importance criteria in round 2, nine met the consensus criteria in round 3. These were classified as major signs, and the remaining nine factors from rounds 2 and 3 were classified as minor signs (Table 2).
Table 2

Presenting clinical signs and co‐variables in early type 3 GD

Round 2Round 3
Importance score (Likert scale: 1–5) Agreement score (Likert scale: 1–5)
Mean scoreMedian scoreRespondents (%)§ Mean scoreMedian scoreRespondents (%)§
Clinical signs
MajorSplenomegaly4.4251004.795100
Disturbed oculomotor function (slow horizontal saccades with unimpaired vision)4.5851004.745100
Thrombocytopenia4.215954.32495
Myoclonus epilepsy3.954954.00479
Anaemia3.584893.84479
Hepatomegaly3.744953.79479
Bone pain, including fractures3.634953.68474
Disturbed motor function (impairment of primary motor development)3.113793.68479
Kyphosis3.794843.58468
MinorCardiac calcification3.323793.63453
Growth retardation including low body weight3.473953.58453
Pulmonary infiltrates3.324793.53453
Cognitive deficit3.213843.53453
Elevated ferritin levels3.26374
Bleeding, bruising or coagulopathy3.26374
Gammopathy – monoclonal or polyclonal2.63358
Elevated serum angiotensin‐converting enzyme levels3.11363
Fatigue2.79363
Co‐variables
MajorFamily history of GD3.89844.21479
MinorAge ≤18 years3.42793.84463
Blood relative who died of foetal hydrops and/or with diagnosis of neonatal sepsis of uncertain aetiology3.47843.26342
Family history of PD2.7963
Ashkenazi Jewish ancestry2.4737

Signs and co‐variables that did not meet the threshold for importance (a score of ≥3 by >75% of respondents) were classified as minor and not taken forward to round 3 for agreement rating. Signs and co‐variables that met the threshold for agreement in round 3 (a score of ≥4 by >67% of respondents) were classified as major; any that did not meet this threshold were classified as minor.

The Likert scale used for importance rating in round 2 was: 1 = not important; 2 = slightly important; 3 = important; 4 = very important; 5 = extremely important.

The Likert scale used for agreement rating in round 3 was: 1 = strongly disagree; 2 = disagree; 3 = neither agree nor disagree; 4 = agree; 5 = strongly agree.

Percentage of respondents (n = 19) is the proportion awarding a Likert scale score that met the selection criteria in each round.

GD, Gaucher disease; PD, Parkinson disease.

Presenting clinical signs and co‐variables in early type 3 GD Signs and co‐variables that did not meet the threshold for importance (a score of ≥3 by >75% of respondents) were classified as minor and not taken forward to round 3 for agreement rating. Signs and co‐variables that met the threshold for agreement in round 3 (a score of ≥4 by >67% of respondents) were classified as major; any that did not meet this threshold were classified as minor. The Likert scale used for importance rating in round 2 was: 1 = not important; 2 = slightly important; 3 = important; 4 = very important; 5 = extremely important. The Likert scale used for agreement rating in round 3 was: 1 = strongly disagree; 2 = disagree; 3 = neither agree nor disagree; 4 = agree; 5 = strongly agree. Percentage of respondents (n = 19) is the proportion awarding a Likert scale score that met the selection criteria in each round. GD, Gaucher disease; PD, Parkinson disease. There were 15 individual free‐text phrases relating to co‐variables in type 3 GD, and these were grouped into 10 themes. Four themes were discounted owing to their rarity (Japanese or Taiwanese ancestry, Norbottnian Swedish ancestry, Palestinian Arabic ancestry and the L444P allele in Ashkenazi Jewish patients), and one theme was discounted as being of low clinical relevance (age >18 years). Of the five remaining factors assessed in round 2 (Appendix S8), three met the importance criteria, and consensus was reached for one of these in round 3. This was classified as a major co‐variable, and the other four factors from rounds 2 and 3 were classified as minor co‐variables (Table 2).

Levels of major signs considered consistent with a diagnosis of GD

During round 3, for major signs that were continuous rather than categorical variables (anaemia, hyperferritinaemia, hepatomegaly, splenomegaly and thrombocytopenia), most of the panel members believed that mild or moderate levels were consistent with early type 1 GD or early type 3 GD. However, except for splenomegaly, the panel tended to be divided about whether severe levels of each sign were consistent with early type 1 GD or type 3 GD (Fig. 4).
Figure 4

Major signs in Gaucher disease with continuous variables. Panel members were asked to indicate the levels of anaemia, hepatomegaly, splenomegaly and thrombocytopenia that were considered consistent with, or unlikely to indicate, early type 1 Gaucher disease (GD) (n = 22) or early type 3 GD (n = 19), and the levels of hyperferritinaemia consistent with, or unlikely to indicate, type 1 GD. Value ranges were proposed by the chairs and categorised as mild, moderate or severe; panel members could also nominate a different range. (), Consistent; (), unlikely.

Major signs in Gaucher disease with continuous variables. Panel members were asked to indicate the levels of anaemia, hepatomegaly, splenomegaly and thrombocytopenia that were considered consistent with, or unlikely to indicate, early type 1 Gaucher disease (GD) (n = 22) or early type 3 GD (n = 19), and the levels of hyperferritinaemia consistent with, or unlikely to indicate, type 1 GD. Value ranges were proposed by the chairs and categorised as mild, moderate or severe; panel members could also nominate a different range. (), Consistent; (), unlikely.

Consensus on the barriers to early GD diagnosis and the impact that the GED‐C initiative could have on clinical practice

Regarding barriers to early GD diagnosis, 47 individual phrases were provided in round 1, grouped into nine themes and consolidated into nine statements. In round 2, six statements met the importance criteria, and all met the consensus criteria in round 3. The highest‐scoring diagnostic‐barrier statement (mean score of 4.41 in round 3) was ‘Owing to its rarity, there is a lack of awareness of GD among healthcare professionals’ (Table 3).
Table 3

Hypotheses on barriers to early diagnosis of patients with GD in clinical practice and on the impact that the GED‐C initiative could have on clinical practice as judged by an international panel of experts – GED‐C initiative Delphi rounds 2 and 3

Round 2Round 3
Importance score (Likert scale: 1–5) Agreement score (Likert scale: 1–5)
Mean scoreMedian scoreRespondents (%)§ Mean scoreMedian scoreRespondents (%)§
Barrier statements
Importance criteria met/consensus achievedOwing to its rarity, there is a lack of awareness of GD among healthcare professionals4.144954.41586
Some early signs do not seem specific to GD, and their clinical presentation can be variable or heterogeneous3.9141004.27491
Early signs are under‐recognised as characteristic of possible GD4.2341004.23491
GD is not normally considered as a differential diagnosis4.0941004.18486
Early signs can be mild and may be overlooked4.1841004.18577
Access to diagnostic tests is poor in some countries and in some socioeconomic situations3.824914.14577
Importance criteria not metUse of enzymatic diagnostic tests may be limited by cost or logistical barriers or by an HCP's unwillingness to request them3.18364
Lack of a diagnostic algorithm2.82368
Geographic dispersion or socioeconomic division of families can reduce awareness of a family history of GD2.82355
Impact statements
Importance criteria met/consensus achievedPatients could be diagnosed earlier in the disease course, and monitored and managed appropriately to improve long‐term outcomes and quality of life4.184954.555100
Earlier diagnosis would help to reduce serious or irreversible late‐onset complications, and comorbidities of the disease could be avoided or managed appropriately4.4151004.55595
Healthcare professionals’ awareness of the disease might improve, and its inclusion as a differential diagnosis might avoid unnecessary invasive diagnostic procedures4.004954.41495
With earlier diagnosis, patients could be followed up from an earlier stage of disease, leading to a better understanding of disease phenotypes and progression3.864864.36586
Earlier diagnosis would allow family planning and genetic counselling to be offered earlier3.684914.32491
More rapid diagnosis would facilitate earlier decision‐making to support patients4.0541004.14482
It might lead to wider use and availability of diagnostic testing3.734863.86468
Consensus not achievedGoals for diagnosis would be clearer3.504823.50455

Statements that did not meet the threshold for importance (a score of ≥3 by >75% of respondents) were not taken forward to round 3 for agreement rating. Consensus was reached if statements met the threshold for agreement in round 3 (a score of ≥4 by >67% of respondents).

The Likert scale used for importance rating in round 2 was: 1 = not important; 2 = slightly important; 3 = important; 4 = very important; 5 = extremely important.

The Likert scale used for agreement rating in round 3 was: 1 = strongly disagree; 2 = disagree; 3 = neither agree nor disagree; 4 = agree; 5 = strongly agree.

Percentage of respondents (n = 22) is the proportion awarding a Likert scale score that met the selection criteria in each round.

GD, Gaucher disease; GED‐C, Gaucher Earlier Diagnosis Consensus; HCP, healthcare professional.

Hypotheses on barriers to early diagnosis of patients with GD in clinical practice and on the impact that the GED‐C initiative could have on clinical practice as judged by an international panel of experts – GED‐C initiative Delphi rounds 2 and 3 Statements that did not meet the threshold for importance (a score of ≥3 by >75% of respondents) were not taken forward to round 3 for agreement rating. Consensus was reached if statements met the threshold for agreement in round 3 (a score of ≥4 by >67% of respondents). The Likert scale used for importance rating in round 2 was: 1 = not important; 2 = slightly important; 3 = important; 4 = very important; 5 = extremely important. The Likert scale used for agreement rating in round 3 was: 1 = strongly disagree; 2 = disagree; 3 = neither agree nor disagree; 4 = agree; 5 = strongly agree. Percentage of respondents (n = 22) is the proportion awarding a Likert scale score that met the selection criteria in each round. GD, Gaucher disease; GED‐C, Gaucher Earlier Diagnosis Consensus; HCP, healthcare professional. In response to questions about the potential impact of the initiative, 30 individual phrases were submitted and grouped into eight themes. These were consolidated into eight statements, all of which met the importance criteria in round 2. Consensus was reached for seven of the statements. The highest‐scoring impact statements (mean scores of 4.55 in round 3) were that ‘Patients could be diagnosed earlier in the disease course and monitored and managed appropriately to improve long‐term outcomes and quality of life’ and that ‘Earlier diagnosis would help to reduce serious or irreversible late‐onset complications, and comorbidities of the disease could be avoided or managed appropriately’ (Table 3).

Discussion

This international, multidisciplinary GED‐C initiative has identified a series of major and minor clinical signs and co‐variables that may facilitate the early diagnosis of GD among non‐specialist physicians and has provided important expert insights into the greatest barriers to early GD diagnosis. Collectively for type 1 and 3 GD, the GED‐C initiative identified 11 different major signs and two co‐variables indicative of early GD (Table 4). Based on these findings the authors suggest that the unexplained presence of at least two signs, or of one unexplained sign in conjunction with one of the co‐variables should cause physicians to consider GD in their differential diagnosis.
Table 4

Summary of major signs and covariables of relevance in early Gaucher disease

Major signs
Gastroenterological
Splenomegaly
Hepatomegaly
Orthopaedic
Bone pain§
Kyphosis
General medical
Hyperferritinaemia
Haematological
Anaemia
Thrombocytopenia
Gammopathy
Neurological
Slow horizontal saccades with unimpaired vision
Impairment of primary motor development
Myoclonus epilepsy
Covariables
Jewish ancestry
Family history of GD

GD should be included in differential diagnosis if two or more of these factors are present and unexplained, particularly if one factor is splenomegaly. The more signs and co‐variables that are present, the greater would be the suspicion of GD.

Typically this would be unexplained spleen enlargement of at least threefold, but spleen enlargement of less than threefold would not necessarily exclude GD.

Mild or moderate deviation from normal is most commonly seen with these signs in GD, but severe deviation would not exclude GD.

Bone pain is more common in early GD than are more severe bone issues such as avascular necrosis or fractures, but the presence of the latter may indicate that GD is already advanced.

Neurological signs generally only manifest in type 3 disease but are often preceded by the systemic signs listed.

GD, Gaucher disease.

Summary of major signs and covariables of relevance in early Gaucher disease GD should be included in differential diagnosis if two or more of these factors are present and unexplained, particularly if one factor is splenomegaly. The more signs and co‐variables that are present, the greater would be the suspicion of GD. Typically this would be unexplained spleen enlargement of at least threefold, but spleen enlargement of less than threefold would not necessarily exclude GD. Mild or moderate deviation from normal is most commonly seen with these signs in GD, but severe deviation would not exclude GD. Bone pain is more common in early GD than are more severe bone issues such as avascular necrosis or fractures, but the presence of the latter may indicate that GD is already advanced. Neurological signs generally only manifest in type 3 disease but are often preceded by the systemic signs listed. GD, Gaucher disease. The importance of considering GD increases with the number of unexplained signs and co‐variables, and investigation of the possibility of GD may require specialist referral. A specialist suspecting GD will test for low levels (typically 10–15% of normal) of lysosomal glucocerebrosidase, either in dried blot spots, which are relatively quick to prepare and submit for laboratory testing, or in total leukocytes, mononuclear cells or cultured fibroblasts, which provide a more reliable indication of deficiency.1 Diagnosis of GD is confirmed by DNA sequencing of the glucocerebrosidase gene. In the event of a positive diagnosis, specialist involvement is highly recommended to ensure that appropriate patient assessment and management plans are instigated as soon as possible. Treatment of GD involves intravenous infusion of the deficient glucocerebrosidase enzyme every 2–4 weeks (‘enzyme‐replacement therapy’) or oral administration of medicine that reduces the amount of glucosylceramide substrate produced (‘substrate reduction’), thereby allowing any available enzyme to function more efficiently. Fortunately, not all patients with GD require disease‐modifying treatment and the optimum timing of treatment to prevent irreversible disease progression is unknown. However, delaying treatment can lead to worse outcomes, poorer prognoses18, 19 and the development of preventable late‐onset complications.11 Untreated patients with GD may have reduced quality of life relative to population norms,20 and the clinical benefits of enzyme‐replacement and substrate reduction therapies in treatment‐naïve patients with GD are well established.21, 22, 23, 24, 25, 26, 27, 28, 29 The diagnostic guidance in Table 4 is deliberately limited to major factors, but our wider findings could inform development of an algorithm that is highly selective for patients who may benefit from diagnostic GD testing. A point‐scoring system, such as that proposed in Table 5, could be developed in which weighted scores are assigned to each of the major signs and co‐variables, based on logistic regression analysis of retrospective data from patients already diagnosed with GD. Similar tools have been developed, validated prospectively and applied successfully in other disease areas.30 The arbitrary weighting values shown in Table 5 serve to illustrate the approach. Such an algorithm would expedite the appropriate use of diagnostic testing early in the disease course.
Table 5

Prototype point‐scoring system as a screen for diagnostic testing in Gaucher disease

WeightingClinical sign or co‐variable
Major signs and co‐variables3 pointsSplenomegaly (≥3× normal)
Disturbed oculomotor function (slow horizontal saccades with unimpaired vision)
2 pointsThrombocytopenia, mild or moderate (platelet count, 50–150 × 109/L)
Bone issues, including pain, crises, avascular necrosis and fractures
Family history of Gaucher disease
Anaemia, mild or moderate (haemoglobin, 95–140 g/L)
Hyperferritinaemia, mild or moderate (serum ferritin, 300–1000 μg/L)
Jewish ancestry
Disturbed motor function (impairment of primary motor development)
Hepatomegaly, mild or moderate (≤3× normal)
Myoclonus epilepsy
Kyphosis
Gammopathy – monoclonal or polyclonal
1 pointAnaemia, severe (haemoglobin, <9.5 g/dL)
Hyperferritinaemia, severe (serum ferritin, >1000 μg/L)
Hepatomegaly, severe (>3× normal)
Thrombocytopenia, severe (platelet count, <50 × 109/L)
Minor signs and co‐variables0.5 pointsGallstones
Bleeding, bruising or coagulopathy
Leukopenia
Cognitive deficit
Low bone mineral density
Growth retardation including low body weight
Asthenia
Cardiac calcification
Dyslipidaemia
Elevated angiotensin‐converting enzyme levels
Fatigue
Pulmonary infiltrates
Age ≤18 years
Family history of Parkinson disease
Blood relative who died of foetal hydrops and/or with diagnosis of neonatal sepsis of uncertain aetiology

The weighting scores shown are arbitrary and will need to be validated. Major clinical signs and co‐variables were provisionally awarded a score of 2 points, and minor signs and co‐variables a score of 0.5 points. Given that 100% consensus was reached for the signs splenomegaly and disturbed oculomotor function (slow horizontal saccades with unimpaired vision) they were assigned a score of 3 points. Severe levels of the anaemia, hepatomegaly, hyperferritinaemia and thrombocytopenia were deemed more likely to indicate other pathologies than Gaucher disease but did not exclude it, so these were awarded a score of 1 point. Subject to validation in patient data, the scoring system will be used in the form of an online calculator to generate a total score based on a patient's presenting signs. The value of this total score will dictate whether diagnostic testing is recommended.

Prototype point‐scoring system as a screen for diagnostic testing in Gaucher disease The weighting scores shown are arbitrary and will need to be validated. Major clinical signs and co‐variables were provisionally awarded a score of 2 points, and minor signs and co‐variables a score of 0.5 points. Given that 100% consensus was reached for the signs splenomegaly and disturbed oculomotor function (slow horizontal saccades with unimpaired vision) they were assigned a score of 3 points. Severe levels of the anaemia, hepatomegaly, hyperferritinaemia and thrombocytopenia were deemed more likely to indicate other pathologies than Gaucher disease but did not exclude it, so these were awarded a score of 1 point. Subject to validation in patient data, the scoring system will be used in the form of an online calculator to generate a total score based on a patient's presenting signs. The value of this total score will dictate whether diagnostic testing is recommended. The signs identified during this initiative were consistent with those reported in the published literature. There was 100% consensus that splenomegaly was a major sign of both type 1 and type 3 GD, and splenomegaly was the single most‐often‐reported GD sign among abstracts identified in our literature search (Appendix S9). Among these was a longitudinal analysis of data from a large number of children and adolescents diagnosed with type 1 GD and registered in the International Collaborative Gaucher Group (ICGG) Gaucher Registry, which showed that splenomegaly was the most common presenting sign, reported in 95% of patients.31 Similarly, the five next most common presenting signs reported in our literature search aligned with those identified by the GED‐C expert panel, namely neurological abnormalities, bone abnormalities (including pain, fracture, crises and avascular necrosis), hepatomegaly, thrombocytopenia and anaemia. Thus, the available evidence strongly suggests that our consensus on major signs in early GD is robust, valid and representative of what is observed in clinical practice. In the ICGG analysis, the most common patient‐reported bone symptom was pain; skeletal abnormalities, such as fractures, and avascular necrosis were rare.31 Such signs were grouped as ‘bone issues’ in our survey because the presence of more severe signs of bone disease is consistent with GD, but ideally our consensus would identify patients before such signs were apparent. Some signs, such as gammopathy and hyperferritinaemia, were reported rarely or not at all in our literature search. The barriers to earlier diagnosis of GD identified are also supported by the literature, one of the greatest challenges being a lack of awareness of GD among healthcare professionals, owing to its relative rarity.9, 32 Furthermore, the heterogeneous nature of GD (patients who are asymptomatic or who have only mild signs, disease progression at different rates in different tissues, or variation between disease phenotypes) also impedes its inclusion in differential diagnosis.9, 14 An international survey of haematologists and oncologists (n = 406) found that only 20% of those surveyed considered GD as a differential diagnosis in patients presenting with typical GD signs (e.g. bone pain, cytopenia, hepatomegaly and splenomegaly); leukaemia, lymphoma and multiple myeloma were considered the most likely diagnoses.11

Limitations

Delphi methodology is widely used for gathering and processing data from experts to achieve convergence of opinion on a specific real‐world issue, often in the absence of sufficient evidence to provide adequate guidance.15, 16, 17 The technique has been used to generate simple, robust, expert experience‐based consensus in a variety of disease settings to improve diagnosis.33, 34, 35, 36, 37, 38 An analysis of the relationship between the characteristics of Delphi surveys and variability in the consensus obtained found there was a little associated variation in consensus indices if the number of questions was in the range 6–40 (the maximum number in our survey was 26 in round 1); similarly, variability was modest if the number of respondents was in the range 6–50 (22 respondents to our survey).16 Although the Delphi technique is designed to minimise potential noise and data distortion often associated with conventional group interactions,15, 16, 17 it can have drawbacks. Regression to the mean is almost inevitable in a consensus exercise and could dilute insightful or nuanced responses offered by only a minority of participants. However, the technique eliminates individual bias, and a generalised approach is probably appropriate when creating non‐specialist guidance.

Conclusion

The GED‐C initiative has identified key clinical signs and co‐variables that are potentially indicative of type 1 GD and of type 3 GD in its early stages. Clinicians who are not specialists in GD can use this guidance to determine whether GD needs to be considered in the differential diagnosis of a patient and, when it is a possibility, arrange lysosomal glucocerebrosidase testing and specialist involvement as soon as possible. Facilitating early diagnosis of GD may ultimately lead to improved patient quality of life and outcomes. Appendix S1. GED‐C Delphi process round 1 questionnaire. Appendix S2. GED‐C Delphi process round 2 questionnaire. Appendix S3. GED‐C Delphi process round 3 questionnaire. Appendix S4. Literature review of presenting signs in GD at diagnosis. Appendix S5. GED‐C Delphi round 1 results. Appendix S6. GED‐C Delphi round 1 results. Appendix S7. GED‐C Delphi round 1 results. Appendix S8. GED‐C Delphi round 1 results. Appendix S9. Literature review findings: GD signs at diagnosis. Click here for additional data file.
  34 in total

1.  Asymptomatic Gaucher disease implications for large-scale screening.

Authors:  J Azuri; D Elstein; A Lahad; A Abrahamov; I Hadas-Halpern; A Zimran
Journal:  Genet Test       Date:  1998

2.  The underrecognized progressive nature of N370S Gaucher disease and assessment of cancer risk in 403 patients.

Authors:  Tamar H Taddei; Katherine A Kacena; Mei Yang; Ruhua Yang; Advitya Malhotra; Michael Boxer; Kirk A Aleck; Gadi Rennert; Gregory M Pastores; Pramod K Mistry
Journal:  Am J Hematol       Date:  2009-04       Impact factor: 10.047

Review 3.  Understanding the natural history of Gaucher disease.

Authors:  Pramod K Mistry; Nadia Belmatoug; Stephan vom Dahl; Roberto Giugliani
Journal:  Am J Hematol       Date:  2015-07       Impact factor: 10.047

4.  Miglustat therapy in type 1 Gaucher disease: clinical and safety outcomes in a multicenter retrospective cohort study.

Authors:  David J Kuter; Atul Mehta; Carla E M Hollak; Pilar Giraldo; Derralynn Hughes; Nadia Belmatoug; Monika Brand; Audrey Muller; Berthold Schaaf; Ruben Giorgino; Ari Zimran
Journal:  Blood Cells Mol Dis       Date:  2013-05-14       Impact factor: 3.039

5.  A guideline for differential diagnosis between septic arthritis and transient synovitis in the ED: a Delphi survey.

Authors:  Jin Hee Lee; Moon Seok Park; Hyuksool Kwon; Chin Youb Chung; Kyoung Min Lee; Yu Jin Kim; Kyuseok Kim
Journal:  Am J Emerg Med       Date:  2016-06-07       Impact factor: 2.469

6.  Disease state awareness in Gaucher disease: a Q&A expert roundtable discussion.

Authors:  Pramod K Mistry; Joel A Weinthal; Neal J Weinreb
Journal:  Clin Adv Hematol Oncol       Date:  2012-06

7.  A reappraisal of Gaucher disease-diagnosis and disease management algorithms.

Authors:  Pramod K Mistry; Maria Domenica Cappellini; Elena Lukina; Hayri Ozsan; Sara Mach Pascual; Hanna Rosenbaum; Maria Helena Solano; Zachary Spigelman; Jesús Villarrubia; Nora Patricia Watman; Gero Massenkeil
Journal:  Am J Hematol       Date:  2011-01       Impact factor: 10.047

8.  Diagnosing Gaucher disease: an on-going need for increased awareness amongst haematologists.

Authors:  A S Thomas; A B Mehta; D A Hughes
Journal:  Blood Cells Mol Dis       Date:  2012-12-06       Impact factor: 3.039

9.  Velaglucerase alfa enzyme replacement therapy compared with imiglucerase in patients with Gaucher disease.

Authors:  Hadhami Ben Turkia; Derlis E Gonzalez; Norman W Barton; Ari Zimran; Madhulika Kabra; Elena A Lukina; Pilar Giraldo; Isaac Kisinovsky; Ashish Bavdekar; Marie-Françoise Ben Dridi; Neerja Gupta; Priya S Kishnani; E K Sureshkumar; Nan Wang; Eric Crombez; Kiran Bhirangi; Atul Mehta
Journal:  Am J Hematol       Date:  2013-02-09       Impact factor: 10.047

10.  Diagnosis features of pediatric Gaucher disease patients in the era of enzymatic therapy, a national-base study from the Spanish Registry of Gaucher Disease.

Authors:  Marcio Andrade-Campos; Pilar Alfonso; Pilar Irun; Judith Armstrong; Carmen Calvo; Jaime Dalmau; Maria-Rosario Domingo; Jose-Luis Barbera; Horacio Cano; Maria-Angeles Fernandez-Galán; Rafael Franco; Inmaculada Gracia; Miguel Gracia-Antequera; Angela Ibañez; Francisco Lendinez; Marcos Madruga; Elena Martin-Hernández; Maria Del Mar O'Callaghan; Alberto Pérez Del Soto; Yolanda Ruiz Del Prado; Ignacio Sancho-Val; Pablo Sanjurjo; Miguel Pocovi; Pilar Giraldo
Journal:  Orphanet J Rare Dis       Date:  2017-05-03       Impact factor: 4.123

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  13 in total

1.  Early clinical signs in lysosomal diseases.

Authors:  Camelia Alkhzouz; Diana Miclea; Simona Bucerzan; Cecilia Lazea; Ioana Nascu; Paula Grigorescu Sido
Journal:  Med Pharm Rep       Date:  2021-08-10

Review 2.  Diagnosing neuronopathic Gaucher disease: New considerations and challenges in assigning Gaucher phenotypes.

Authors:  Emily C Daykin; Emory Ryan; Ellen Sidransky
Journal:  Mol Genet Metab       Date:  2021-01-09       Impact factor: 4.797

3.  Early indicators of disease progression in Fabry disease that may indicate the need for disease-specific treatment initiation: findings from the opinion-based PREDICT-FD modified Delphi consensus initiative.

Authors:  Derralynn A Hughes; Patricio Aguiar; Patrick B Deegan; Fatih Ezgu; Andrea Frustaci; Olivier Lidove; Aleš Linhart; Jean-Claude Lubanda; James C Moon; Kathleen Nicholls; Dau-Ming Niu; Albina Nowak; Uma Ramaswami; Ricardo Reisin; Paula Rozenfeld; Raphael Schiffmann; Einar Svarstad; Mark Thomas; Roser Torra; Bojan Vujkovac; David G Warnock; Michael L West; Jack Johnson; Mark J Rolfe; Sandro Feriozzi
Journal:  BMJ Open       Date:  2020-10-10       Impact factor: 2.692

4.  The Gaucher earlier diagnosis consensus point-scoring system (GED-C PSS): Evaluation of a prototype in Finnish Gaucher disease patients and feasibility of screening retrospective electronic health record data for the recognition of potential undiagnosed patients in Finland.

Authors:  Markku J Savolainen; Antti Karlsson; Samppa Rohkimainen; Iiro Toppila; Mariann I Lassenius; Carlos Vaca Falconi; Kristiina Uusi-Rauva; Kaisa Elomaa
Journal:  Mol Genet Metab Rep       Date:  2021-02-09

5.  Long-term safety and effectiveness of velaglucerase alfa in Gaucher disease: 6-year interim analysis of a post-marketing surveillance in Japan.

Authors:  Rieko Sagara; Masahide Ishigaki; Manami Otsuka; Kei Murayama; Hiroyuki Ida; Jovelle Fernandez
Journal:  Orphanet J Rare Dis       Date:  2021-12-04       Impact factor: 4.123

6.  iPSC-Derived Gaucher Macrophages Display Growth Impairment and Activation of Inflammation-Related Cell Death.

Authors:  Daria Messelodi; Salvatore Nicola Bertuccio; Valentina Indio; Silvia Strocchi; Alberto Taddia; Salvatore Serravalle; Jessica Bandini; Annalisa Astolfi; Andrea Pession
Journal:  Cells       Date:  2021-10-21       Impact factor: 6.600

Review 7.  Novel Management and Screening Approaches for Haematological Complications of Gaucher's Disease.

Authors:  Pilar Giraldo; Marcio Andrade-Campos
Journal:  J Blood Med       Date:  2021-12-07

8.  Cardiac Manifestations in a Group of Romanian Patients with Gaucher Disease Type 1 (a Monocentric Study).

Authors:  Cecilia Lazea; Simona Bucerzan; Camelia Al-Khzouz; Anca Zimmermann; Ștefan Cristian Vesa; Ioana Nașcu; Victoria Creț; Mirela Crișan; Carmen Asăvoaie; Diana Miclea; Paula Grigorescu-Sido
Journal:  Diagnostics (Basel)       Date:  2021-05-29

9.  Rare GBA1 genotype associated with severe bone disease in Gaucher disease type 1.

Authors:  Livia d'Avila Paskulin; Rodrigo Tzovenos Starosta; Vitória Schütt Zizemer; Suélen Basgalupp; Débora Bertholdo; Filippo Pinto E Vairo; Marina Siebert; Kristiane Michelin-Tirelli; Ida Vanessa Doederlein Schwartz
Journal:  Mol Genet Metab Rep       Date:  2019-11-22

10.  Scoring system to facilitate diagnosis of Gaucher disease.

Authors:  Atul Mehta; Oliver Rivero-Arias; Magy Abdelwahab; Samantha Campbell; Annabel McMillan; Mark J Rolfe; Jeremy R Bright; David J Kuter
Journal:  Intern Med J       Date:  2020-12       Impact factor: 2.048

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