In combination with conventional statistical methods, artificial intelligence (AI) has now been used in a study of risk factors in type 1 diabetes. The objective was to identify the most important indicators of elevated risk for cardiovascular disease and death.
“What’s unique about this study is that we’ve included machine learning analyses — that is, algorithms for AI — to assess strength of association for cardiovascular risk factors”, says Aidin Rawshani, PhD, of Sahlgrenska Academy, University of Gothenburg. Dr Rawshani is the corresponding author of a new article in the journal Circulation.
The study is based on register data concerning 32,611 people with type 1 diabetes for whom the mean duration of the disease had been 18 years. Follow-up time averaged just over 10 years. Alongside traditional statistical analysis, AI was used: Autonomous learning enabled the computer software to improve its ability to predict death and cardiovascular events.
When the relative contribution of 17 risk factors was studied, five emerged as the strongest predictors: high long-term blood sugar (glycated hemoglobin) levels, kidney dysfunction, duration of type 1 diabetes, high systolic blood pressure (the first, higher figure of the two measured) and an excess of what is popularly known as “bad cholesterol” (low-density lipoprotein, LDL).
Long-term high blood sugar a crucial factor
For three variables — blood sugar, systolic blood pressure and LDL — levels below those currently recommended in national guidelines proved to be associated with lower risks of cardiovascular disease and death.
Another finding in the study was the association between albuminuria (elevated levels of protein in the urine) and two- to fourfold risk elevation for the outcomes studied. Along with long-term high blood sugar, albuminuria was the factor that most clearly predicted these outcomes.
According to machine learning models, high blood sugar is believed to contribute to the development of the other cardiovascular risk factors. In addition, the researchers found a clear interaction effect between risk factors that cannot be influenced (age and duration of diabetes) and those that can (long-term high blood sugar, systolic blood pressure, LDL cholesterol and albuminuria).
Focus on factors subject to influence
The research group behind the study has previously shown that individuals with type 1 diabetes who succeed in keeping more than one risk factor under control are at lower risk of myocardial infarction and stroke, but that their risk of death and heart failure is still elevated.
The present study shows that the key predictors of cardiovascular disease and death in the patient group are mainly conventional risk factors that, except for age and duration of diabetes, can be influenced.
“An increased clinical focus on these risk factors should result in the largest relative risk reduction for death and cardiovascular disease,” says Aidin Rawshani.
Contact: Aidin Rawshani, tel. +46-(0)704 854 689; firstname.lastname@example.org
Title: Relative Prognostic Importance and Optimal Levels of Risk Factors for Mortality and Cardiovascular Outcomes in Type 1 Diabetes; www.ahajournals.org/doi/10.1161/CIRCULATIONAHA.118.037454
Thomas Melin | idw - Informationsdienst Wissenschaft
Deep Brain Stimulation Provides Sustained Relief for Severe Depression
19.03.2019 | Universitätsklinikum Freiburg
Rising CO2 has unforeseen strong impact on Arctic plant productivity
21.02.2019 | Max-Planck-Institut für Meteorologie
Nano- and microtechnology are promising candidates not only for medical applications such as drug delivery but also for the creation of little robots or flexible integrated sensors. Scientists from the Max Planck Institute for Polymer Research (MPI-P) have created magnetic microparticles, with a newly developed method, that could pave the way for building micro-motors or guiding drugs in the human body to a target, like a tumor. The preparation of such structures as well as their remote-control can be regulated using magnetic fields and therefore can find application in an array of domains.
The magnetic properties of a material control how this material responds to the presence of a magnetic field. Iron oxide is the main component of rust but also...
Due to the special arrangement of its molecules, a new coating made of corn starch is able to repair small scratches by itself through heat: The cross-linking via ring-shaped molecules makes the material mobile, so that it compensates for the scratches and these disappear again.
Superficial micro-scratches on the car body or on other high-gloss surfaces are harmless, but annoying. Especially in the luxury segment such surfaces are...
The Potsdam Echelle Polarimetric and Spectroscopic Instrument (PEPSI) at the Large Binocular Telescope (LBT) in Arizona released its first image of the surface magnetic field of another star. In a paper in the European journal Astronomy & Astrophysics, the PEPSI team presents a Zeeman- Doppler-Image of the surface of the magnetically active star II Pegasi.
A special technique allows astronomers to resolve the surfaces of faraway stars. Those are otherwise only seen as point sources, even in the largest telescopes...
Researchers at Chalmers University of Technology and the University of Gothenburg, Sweden, have proposed a way to create a completely new source of radiation. Ultra-intense light pulses consist of the motion of a single wave and can be described as a tsunami of light. The strong wave can be used to study interactions between matter and light in a unique way. Their research is now published in the scientific journal Physical Review Letters.
"This source of radiation lets us look at reality through a new angle - it is like twisting a mirror and discovering something completely different," says...
New research group at the University of Jena combines theory and experiment to demonstrate for the first time certain physical processes in a quantum vacuum
For most people, a vacuum is an empty space. Quantum physics, on the other hand, assumes that even in this lowest-energy state, particles and antiparticles...
11.03.2019 | Event News
01.03.2019 | Event News
28.02.2019 | Event News
21.03.2019 | Life Sciences
21.03.2019 | Physics and Astronomy
21.03.2019 | HANNOVER MESSE