Performance assessment across different care settings of a heart failure hospitalisation risk-score for type 2 diabetes using administrative claims
Abstract Predicting the risk of cardiovascular complications, in particular heart failure hospitalisation (HHF), can improve the management of type 2 diabetes (T2D). Most predictive models proposed so far rely on clinical data not available at the higher Institutional level. Therefore, it is of inte...
Main Authors: | Alessandro Guazzo, Enrico Longato, Mario Luca Morieri, Giovanni Sparacino, Bruno Franco-Novelletto, Maurizio Cancian, Massimo Fusello, Lara Tramontan, Alessandro Battaggia, Angelo Avogaro, Gian Paolo Fadini, Barbara Di Camillo |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2022-05-01
|
Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-022-11758-9 |
Similar Items
-
Deep-learning-based natural-language-processing models to identify cardiovascular disease hospitalisations of patients with diabetes from routine visits’ text
by: Alessandro Guazzo, et al.
Published: (2023-11-01) -
Better cardiovascular outcomes of type 2 diabetic patients treated with GLP-1 receptor agonists versus DPP-4 inhibitors in clinical practice
by: Enrico Longato, et al.
Published: (2020-06-01) -
Management of type 2 diabetes with a treat-to-benefit approach improved long-term cardiovascular outcomes under routine care
by: Mario Luca Morieri, et al.
Published: (2022-12-01) -
Long-Acting Injectable GLP-1 Receptor Agonists for the Treatment of Adults with Type 2 Diabetes: Perspectives from Clinical Practice
by: Morieri ML, et al.
Published: (2020-11-01) -
Diabetic retinopathy: a tool for cardiovascular risk stratification
by: Angelo Avogaro, et al.
Published: (2019-12-01)