Improving treatment outcomes through personalised medicine - assessment of disease activity in acromegaly.
| dc.contributor.advisor | White, Nicola | |
| dc.contributor.author | Gomez, Roy | |
| dc.date.accessioned | 2022-05-04T12:54:21Z | |
| dc.date.available | 2022-05-04T12:54:21Z | |
| dc.date.issued | 2017 | |
| dc.description.abstract | Purpose Personalised Medicine (PM), also known as stratified medicine has been known to improve treatment outcomes in a wide variety of disease area settings. Individualising treatment based on patient needs may also offer cost benefits to healthcare spend. 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. Methods An assessment to gauge the need to have an easy and helpful tool which may support acromegaly management was elucidated through a multinational qualitative survey. Subsequently, a validated a tool was developed to measure disease activity in acromegaly to support decision-making in clinical practice through a 2 step-approach. Firstly, 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. Secondly, a panel of 21 renowned endocrinologists at pituitary centres (Europe and Canada) categorized each scenario as stable, mild, or significant disease activity in an online validation study. Results The international qualitative survey revealed that current treatment practice does have shortcomings in fully achieving disease control as well as identifying the need for a helpful solution to guide acromegaly care. As part of elucidating the most important disease activity indicators, from expert opinion, five parameters emerged as the best overall indicators to evaluate disease activity: insulin-like growth factor I (IGF-I) level, tumour status, presence of comorbidities (cardiovascular disease, diabetes, sleep apnea), symptoms, and health-related quality of life. In the validation study, IGF-I and tumour 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 tumour size not significantly increased, the remaining three parameters contributed to the decision in a compensatory manner. Conclusion The validation study underlined the importance of IGF-I and tumour status for routine clinical decision-making, whereas patient-oriented outcome measures received less medical attention. A disease specific tool named Acromegaly Disease Activity Tool (ACRODAT) is in its final stages of development that will support clinicians in reviewing the disease activity in a holistic manner. | en_UK |
| dc.description.coursename | PhD in Manufacturing | en_UK |
| dc.identifier.uri | http://dspace.lib.cranfield.ac.uk/handle/1826/17860 | |
| dc.language.iso | en | en_UK |
| dc.rights | © Cranfield University, 2015. All rights reserved. No part of this publication may be reproduced without the written permission of the copyright holder. | |
| dc.title | Improving treatment outcomes through personalised medicine - assessment of disease activity in acromegaly. | en_UK |
| dc.type | Thesis | en_UK |