What is it about?
People with chronic kidney disease (CKD) are at a higher risk of developing cardiovascular disease (CVD). Doctors often use prediction models to estimate the risk of heart disease in a person based on various characteristics, such as their medical history and lab results. However, these models are not designed for people with CKD and may therefore be less accurate. This review aims to give an overview of studies that specifically look at predicting CVD in people with CKD and how reliable they are.
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Why is it important?
Prognostic models to help predict CVD in patients with CKD have a lot of potential, but are not used by doctors that often. In this review we found a lot of studies published on this subject and found that some prediction models show promising results. However, to be sure if they work properly, we need more information and models should be tested outside of the patient population that they are developed in. We hope our review can help to pick the best model, based on the patient population, what outcome they are trying to predict, and how reliable the model is.
Perspectives
Writing this article has given me a lot of insight into the world of prognostic studies. I hope it can help selecting a proper model to develop further, so that the cardiovascular risk of patients with chronic kidney disease can be predicted more accurately.
Leanne Smit
Read the Original
This page is a summary of: One heartbeat away from a prediction model for cardiovascular diseases in patients with chronic kidney disease: a systematic review, Cardiorenal Medicine, February 2023, Karger Publishers,
DOI: 10.1159/000529791.
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