Cardiometabolic disease is an umbrella term describing a complex
and interconnected spectrum including:
Type 2 diabetes
Non-alcoholic fatty liver disease (NAFLD)
Chronic kidney disease
Coronary Heart Disease
Peripheral Arterial Disease
Diagnostic and Treatment Challenges of Cardimetabolic Disease
Every patient presents a unique and complex management challenge for clinicians
Initiated or aggravated by obesity and impaired insulin action (insulin resistance)
Each disorder is also an independent risk factor for atherosclerotic cardiovascular disease - a leading cause of death worldwide
Obesity and insulin resistance also contribute to the following long-term age-related disorders, exacerbating challenges of an aging global population
Conditions arise from interactions between susceptibility genes, behavioural factors (nutrition, levels of physical activity), and other factors (inflammation, environmental pollution)
They have multiple shared risk factors (e.g. excess fat storage, hypertension) that make differentiation difficult, co-morbidities common, and pharmacotherapeutic risk-to-benefit considerations complex
Absolute and relative contributions of risk factors evolve over time
Medications directed to the amelioration of a specific risk factor may have positive, neutral or potentially detrimental effects on others
Metadvice Approach to Cardiometabolic Disease
We view cardiometabolic disease on a spectrum of interconnected factors.
We believe in the importance of understanding contributions of this multitude of factors to the patient’s condition.
Requires an individualised approach to diagnosis and treatment over an individual’s lifespan.
Spectrum of care: We are building a solution to incorporate these into current best practices...
averting the development of cardiometabolic risk factors)
avoiding first clinical cardiovascular events
avoiding further vascular events
managing late-stage complications
... So that each patient can receive truly personalised care over the course of their life
The Metadvice platform draws on national and local best practice clinical guidelines, recent clinical trial data and insights from previous clinical decisions within the Metadvice network.
Resources are integrated and presented in a user-friendly format to support clinicians in the management of patients with cardiometabolic disease.
Feedback from patients and doctors, curated data and machine learning enables identification of precise diagnostic and selection of most appropriate, personalized therapy.
Data is visualized for users to explain recommendations, letting doctors and patients draw their own evidence-based conclusions based on analysis of diagnostic and therapeutic probabilities.