"People change over time.
People will leave over time.
These risk factor models are complex, requiring description of changes in modifiable risk factors over time, yet basic work to inform risk factor modeling is lacking and little is known about the relationship between different assumptions and conclusions about the effectiveness of interventions.
As patient's risk profile changes over time, identifying modifiable risk factors at different stages of disease progression will help reduce morbidity and mortality of those on dialysis.
Furthermore, modifiable risk factors have changed over time: smoking is less common and there are better treatments for hypertension and to lower HbA1c concentrations.
In contrast our analysis examines time trends in type 2 diabetes, attributable only to modifiable factors that have changed over time in the cohort, thus carrying more immediate public health implications.
However, age is, in reality, a complex variable, pointing to, on the one hand, all the non-modifiable biological changes that occur within our arteries over time and, on the other, all the modifiable consequences of the cumulative injuries to our arteries over time due to LDL, BP, smoking and diabetes.
In particular, we aimed to detect modifiable risk factors, which influence telomere length over time, and which may lead to novel insights into the mechanisms of biological aging.
Because glycemic control, BP, and cholesterol levels are modifiable over a short to medium time frame, the information carried by these factors regarding the current risk status of the patient is reduced.
