Publications by authors named "K L Olesen"
Background: Cardiovascular disease (CVD) is twice as prevalent among individuals with mental illness compared to the general population. Prevention strategies exist but require accurate risk prediction. This study aimed to develop and validate a machine learning model for predicting incident CVD among patients with mental illness using routine clinical data from electronic health records.
View Article and Find Full Text PDFThe Western Denmark Heart Registry (WDHR) is a semi-national, multicenter-based clinical registry with unique potential for cardiovascular research. The registry has provided detailed prospectively registered information on patient and procedure characteristics since 1999. WDHR data can be linked to additional data in other healthcare registries in Denmark.
View Article and Find Full Text PDFBackground: The risk of cardiovascular disease (CVD) is increased in individuals with type 2 diabetes mellitus (T2DM), but it remains uncertain how long an elevated CVD occurrence precedes diabetes diagnosis.
Objectives: The aim of this study was to investigate CVD occurrence 30 years before, and 5 years after, T2DM diagnosis compared with matched comparisons.
Methods: This combined case-control and cohort study included all individuals diagnosed with T2DM in Denmark between 2010 and 2015, as well as general population comparisons matched by age and sex.
Article Synopsis
- The study aimed to analyze trends in peripheral artery disease (PAD), lower-extremity revascularization, and amputations in newly diagnosed type 2 diabetes patients in Denmark from 1996 to 2020.
- It included 349,454 patients with diabetes, showing significant decreases in the 5-year incidence rates of PAD (from 6.2% to 3.4%), LE revascularization (from 0.8% to 0.6%), and LE amputation (from 1.0% to 0.4%).
- The findings indicate a notable reduction in these complications over time for diabetes patients, contrasting with stable rates observed in the general population during the same period.
Article Synopsis
- This study looks at how well doctors can predict sudden cardiac death after someone has a heart attack using a measurement called left ventricular ejection fraction (LVEF).
- They combined information from over 140,000 heart attack patients to see if LVEF alone is good enough for deciding who should get a heart device called a defibrillator.
- The results showed that LVEF didn't do a great job at predicting sudden cardiac death, which means doctors need better ways to tell who is at risk.