Programmering av typ 2 diabetes tdigt i livet - En ny risk algoritm för för prevention i primärvård

Factors acting in early life (birth weight, prematurity) may influence the risk of adult health and disease, including the development of type 2 diabetes (T2D).

As most patients with T2D are diagnosed, treated and followed in primary health care (PHC) it is high-priority how to make the diabetes care more effective and tailored to the individual needs (risk profile) of patients.

We aim to develop a new risk algorithm for T2D suitable for PHC, including data from early life (birth weight, etc.) in combination with a positive family history of T2D and BMI, as a marker of overweight/obesity.

This risk algorithm is based on analyses of early life data in large populaton-based cohorts in Sweden and Denmark, to be linked with other cohorts of T2D patients, such as "All New Diabetes patients In Skåne" (ANDIS), or with national registers.

We also intend to perform a systematic review and meta-analyses, based on established methodology and run by Cochrane Sweden, Lund.

This meta-analysis can further strengthen the evidence for early life factors predicting T2D, not only on a global scale, but also selected for three Scandinavian countries with similar health systems.

The link to PHC is obvious as this new risk algorithm could mean a more effective way for screening of risk individuals with a combination of risk factors/markers.

The implementation has to be designed in close collaboration with regional health authorities (Region Skåne) in the next and independent part of this project.