Type 2 diabetes screening could result in substantial health benefits, new study finds

by Barbara Hewitt on May 20, 2015

Screening to identify type 2 diabetes followed by early treatment could result in substantial health benefits, according to new research that combined large scale clinical observations and innovative computer modelling.

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Screening, followed by treatment, led to a reduced risk of cardiovascular disease or death within a five year follow-up period

The study, led by researchers at the University of Michigan in the United States and the MRC Epidemiology Unit at the University of Cambridge in England, used data from the ADDITION-Europe study of diabetes screening and treatment, which it combined with a computer-simulated model of diabetes progression.

This revealed that screening, followed by treatment, led to a reduced risk of cardiovascular disease or death within a five year follow-up period when compared to patients having no screening.

The ADDITION-Europe study enrolled people of 40 to 69 years of age without known diabetes from 343 general practices in the United Kingdom, Denmark, and the Netherlands.

The study aimed to determine if routine screening for type 2 diabetes was feasible and to determine if early, intensive, treatment of high blood sugar and cardiovascular risk factors such as blood pressure, cholesterol status and smoking in those diagnosed with type 2 diabetes reduced the risk of events such as stroke, heart attack, angioplasty, heart bypass surgery, amputation and death.

The researchers found that screening was feasible, but that intensive treatment did not yield statistically significant benefits over routine care, most likely because of the overall high quality of routine diabetes care delivered in general practice.

An important question is what impact screening followed by treatment has on the later health outcomes of people with undiagnosed type 2 diabetes, as previous research indicates that in Europe, onset of the disease typically occurs six years before its clinical diagnosis.

Because all participants in ADDITION-Europe were screened for type 2 diabetes at the start of the study, the researchers could not determine what difference would have been observed had screening and treatment for T2DM been compared with no screening (and therefore no treatment) until the time of eventual clinical diabetes diagnosis.

To answer this question the authors used the Michigan Model for type 2 diabetes, which simulates the progression of diabetes and its complications, co-morbidities, quality of life, and costs, and provides estimates of cardiovascular events and mortality.

In order to assess the impact of a delay in diagnosis and treatment for type 2 diabetes, the researchers simulated scenarios where screening did not take place and there was either a three-year or six-year delay before diagnosis, after which routine care was initiated.

At 10 years after baseline, the simulations predicted that with a delay of three years in diagnosis and treatment, 22.4 % of those with type 2 diabetes would experience a cardiovascular disease event, such as stroke or heart bypass surgery, which rose to 25.9% with a delay of six years.

However, if screening and routine care had been implemented, the simulation predicted only 18.4% of people would experience a cardiovascular disease event at 10 years after baseline. The simulated incidence of all-cause mortality was 16.4% with a delay of three years and 18.2% with a delay of six years, compared to 14.6% for screening and treatment.

This means that over 10 years, the model predicts that for people with undiagnosed type 2 diabetes, screening would be associated with a 29% reduction in relative risk of a cardiovascular disease event compared with a delay of six years in diagnosis and treatment.

This amounts to a 7.5% reduction in the absolute risk of adverse cardiovascular outcome in this population. The comparable change in all-cause mortality was 20% relative risk and 3.6% absolute risk reduction.

‘Comparing the results of our simulations with the real-world data gave us confidence that our model successfully predicts the impact of delaying diagnosis of type 2 diabetes on future cardiovascular health outcomes,’ said Professor William Herman of the University of Michigan, first author on the paper.

‘Diabetes can be debilitating for patients and costly for healthcare. This research shows that the early identification of diabetes has major health benefits, and supports the introduction of measures such as screening to reduce the time between development of type 2 diabetes and its treatment,’ he added.

According to Professor Nick Wareham, senior author on the paper and director of the MRC Epidemiology Unit, the work shows the value of public health modelling to assess impacts and interventions for diseases such as type 2 diabetes that pose an increasing public health challenge.

The authors pointed out that even without a diabetes diagnosis, individuals might in the interim receive treatment for conditions such as blood pressure or cease smoking, so that the outcomes might be somewhat less pronounced than their model predicts. However, they added that the model assumes that, as in ADDITION-Europe, all participants were recruited from primary care, and were thus already receiving medical care, so this distortion is not expected to be large.


The opinions expressed in this article do not necessarily reflect the views of the DiabetesForum.com Community and should not be interpreted as medical advice. Please see your doctor before making any changes to your diabetes management plan.

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