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1 June 2025 – 1 June 2030

Understanding cardiometabolic co-morbidity across primary and secondary care

This project aims to compare data from the AccessCMD study population with a real-world population dataset to determine whether it represents the wider population. If found to be representative, the dataset can then be used to investigate important healthcare questions in cardiometabolic co-morbidity.

Project ID: SDE_EE_PROJ_A0008.V01

Contracting Organisation: University of Cambridge
Sponsor Organisation: University of Cambridge
Funders: DARE UK
Status: Live - Data in use

By 2035, it is estimated that 1 in 5 people in the UK will have 4 or more diseases, with the most common affecting the blood vessels and heart. The direct expected healthcare cost of, for example, heart failure alone in only the US is predicted to rise to $53 billion by the next decade. This is the biggest current problem facing healthcare systems and patients worldwide. There is a lack of science solutions to making sure that preventative and treatment strategies address the widest population that can be accessed. This has been partly hampered by a lack of studies involving patients who have agreed to be contacted again for research that are truly representative of the population needed to address these questions effectively

We have established a national consented study population of patients (AccessCMD) and anticipate recruiting a total of 50,000 patients within the first 12 months.

To properly understand how comparable this prospective registry is of the general population, we need to build parallel “real world” datasets that can validate our data and observations. An example of how this works in practice is in treating obesity with newly licensed weight loss drugs (called GLP-1 agonists).-We are able to show how many patients would potentially benefit from these new types of drugs. We need, however, to be able to be clear that these estimates are applicable to the wider population (including patients who choose not to sign up to research studies).

Using this data we can also look at what the healthcare costs and benefits are likely to be. The recent changes in NICE guidance/commissioning on GLP-1 have not yet been explored in primary and secondary care populations. Data from AccessCMD demonstrates that less than 5 % of obese patients are eligible for primary care prescribed therapy and 42% of these patients are already on a GLP-1 agonist. If the consented dataset is representative of the population data, then the governments current plans for the rollout of weight loss programmes will need to be reconsidered. There is the possibility this project could be the first to explore the recent changes in these populations for commission labelling.

Project details +

Project ID

SDE_EE_PROJ_A0008.V01

Project website

https://umed.io/access-cohort-studies/accesscmd/

Project start date

1 June 2025

Project end date

1 June 2030

Team +

Lead applicant:

Mark Toshner
Associate Professor
University of Cambridge

Project team:

Name Job title Organisation
Eckart De Bie PhD student University of Cambridge
Paula Appenzeller Clinical Fellow Royal Papworth Hospital (Honorary contract University of Cambridge)
Georgina Pearson Senior Health Economist Health Innovation East
About the project +

Date of countersigned contract

4 March 2026

Health Research Classification System (HRCS) Category

  • Blood
  • Generic Health Relevance
  • Non health

Is this project a multiple-SDE project?

No

Is Eastern SDE the lead SDE?

Not applicable

Name of SDE parties

  • Not applicable
Patient and public involvement and engagement +

Are patients involved?

Yes- Cambridge University Hospital Trust Foundation patients and additional national patient groups informed the protocol development of the AccessCMD protocol. The group has undertaken additional PPIE internationally (https://pvrinstitute.org/phgps) to understand patients views and opinions on digital and decentralised data collection and clinical trial enrolment.

How will the results be published?

Paper resubmission for open respiratory research

Public benefit statement

The project will enhance understanding of cardiometabolic multimorbidity and help with planning of healthcare systems that reduce the burden of disease. Including a large consented remote registry with the ability to go back to patients has advantages which include: Fairness – By directly approaching patients on behalf of their recognised provider, AccessCMD can involve, not just those who are treated by research-driven physicians or those being seen at tertiary academic medical centres. Scale – the registry recruits remotely, enabling more patient registrations over time and the resource to grow Control – participants will be given control over how their data is used and in which studies they participate. In addition to the ability to validate findings across different populations, the unique advantages of merging of multiple secondary care datasets in the SDE include wider and better structured data access and long term outcome data (which is often harder to access in primary care).
Data +

Data variables required

Data variables to be analysed include secondary data; demographics, co-morbidities, vital signs, routine blood tests, medications, symptom onset dates, primary diagnosis, hospital admissions, treatment centre names and dates of death (if applicable).

Cohort size

100000

Criteria

Inclusion criteria:

All patients aged >18 years old.with a coded diagnosis of CMD (e.g diabetes, hypercholesterolemia, cerebrovascular disease, cardiovascular disease, heart failure and hypertension according to SNOMED codes or, where not possible, ICD10 codes will be used).

Exclusion criteria:

No specific exclusion criteria other than over 18 years of age to make it as generalisable as possible

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