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Development of ACRO...
Development of ACRODAT®, a new software medical device to assess disease activity in patients with acromegaly
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- van der Lely, Aart Jan (author)
- Erasmus University Medical Center
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- Gomez, Roy (author)
- Pfizer Inc. US
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- Pleil, Andreas (author)
- Pfizer Inc. US
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- Badia, Xavier (author)
- University of Barcelona
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- Brue, Thierry (author)
- Aix-Marseille University
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- Buchfelder, Michael (author)
- University Hospital Erlangen
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- Burman, Pia (author)
- Lund University,Lunds universitet,Translationell muskelforskning,Forskargrupper vid Lunds universitet,Translational Muscle Research,Lund University Research Groups,Skåne University Hospital
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- Clemmons, David (author)
- UNC Health Care
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- Ghigo, Ezio (author)
- Citta' della Salute e della Scienza Hospital-University of Turin
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- Jørgensen, Jens Otto Lunde (author)
- Aarhus University
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- Luger, Anton (author)
- Vienna General Hospital / University Hospital Vienna
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- van der Lans-Bussemaker, Joli (author)
- Pfizer Inc. US
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- Webb, Susan M. (author)
- Biomedical Network on Rare Diseases (CIBERER)
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- Strasburger, Christian J (author)
- Charité - University Medicine Berlin
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Erasmus University Medical Center Pfizer Inc US (creator_code:org_t)
- 2017-09-08
- 2017
- English.
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In: Pituitary. - : Springer Science and Business Media LLC. - 1386-341X .- 1573-7403. ; 20:6, s. 692-701
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Abstract
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- Purpose: Despite availability of multimodal treatment options for acromegaly, achievement of long-term disease control is suboptimal in a significant number of patients. Furthermore, disease control as defined by biochemical normalization may not always show concordance with disease-related symptoms or patient’s perceived quality of life. We developed and validated a tool to measure disease activity in acromegaly to support decision-making in clinical practice. Methods: An international expert panel (n = 10) convened to define the most critical indicators of disease activity. Patient scenarios were constructed based on these chosen parameters. Subsequently, a panel of 21 renowned endocrinologists at pituitary centers (Europe and Canada) categorized each scenario as stable, mild, or significant disease activity in an online validation study. Results: From expert opinion, five parameters emerged as the best overall indicators to evaluate disease activity: insulin-like growth factor I (IGF-I) level, tumor status, presence of comorbidities (cardiovascular disease, diabetes, sleep apnea), symptoms, and health-related quality of life. In the validation study, IGF-I and tumor status became the predominant parameters selected for classification of patients with moderate or severe disease activity. If IGF-I level was ≤1.2x upper limit of normal and tumor size not significantly increased, the remaining three parameters contributed to the decision in a compensatory manner. Conclusion: The validation study underlined IGF-I and tumor status for routine clinical decision-making, whereas patient-oriented outcome measures received less medical attention. An Acromegaly Disease Activity Tool (ACRODAT) is in development that might assist clinicians towards a more holistic approach to patient management in acromegaly.
Subject headings
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Endokrinologi och diabetes (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Endocrinology and Diabetes (hsv//eng)
Keyword
- ACRODAT
- Acromegaly
- AcroQoL
- Patient-reported outcomes
Publication and Content Type
- art (subject category)
- ref (subject category)
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Pituitary
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- By the author/editor
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van der Lely, Aa ...
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Gomez, Roy
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Pleil, Andreas
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Badia, Xavier
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Brue, Thierry
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Buchfelder, Mich ...
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show more...
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Burman, Pia
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Clemmons, David
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Ghigo, Ezio
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Jørgensen, Jens ...
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Luger, Anton
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van der Lans-Bus ...
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Webb, Susan M.
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Strasburger, Chr ...
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- MEDICAL AND HEALTH SCIENCES
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MEDICAL AND HEAL ...
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and Clinical Medicin ...
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and Endocrinology an ...
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Pituitary
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Lund University