Comparison of cardiovascular risk prediction in type 1 diabetes: an Australian viewpoint

Savindi Wimalarathne; Yuhan A Goh; P Gerry Fegan; Bu B Yeap; Nick S R Lan

doi:10.1111/imj.16599

Comparison of cardiovascular risk prediction in type 1 diabetes: an Australian viewpoint

Savindi Wimalarathne, Yuhan A Goh, P Gerry Fegan, Bu B Yeap, Nick S R Lan

Research output: Contribution to journal › Article › peer-review

Abstract

Cardiovascular disease (CVD) is a significant burden in individuals with type 1 diabetes mellitus (T1DM). Yet the optimal method of CVD risk stratification remains uncertain. We found that the new Australian CVD risk calculator could overestimate risk category compared with the Steno Type 1 Risk Engine and underestimate risk category compared with the new Swedish/Scottish prediction tool, both of which were validated for T1DM. More research is needed to derive a CVD risk assessment pathway for individuals with T1DM in Australia.

Original language	English
Pages (from-to)	134-138
Number of pages	5
Journal	Internal Medicine Journal
Volume	55
Issue number	1
Early online date	13 Dec 2024
DOIs	https://doi.org/10.1111/imj.16599
Publication status	Published - Jan 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1111/imj.16599Licence: CC BY-NC

Cite this

@article{0226c06cae394f7eb31dbcaa2cdc830a,

title = "Comparison of cardiovascular risk prediction in type 1 diabetes: an Australian viewpoint",

abstract = "Cardiovascular disease (CVD) is a significant burden in individuals with type 1 diabetes mellitus (T1DM). Yet the optimal method of CVD risk stratification remains uncertain. We found that the new Australian CVD risk calculator could overestimate risk category compared with the Steno Type 1 Risk Engine and underestimate risk category compared with the new Swedish/Scottish prediction tool, both of which were validated for T1DM. More research is needed to derive a CVD risk assessment pathway for individuals with T1DM in Australia.",

author = "Savindi Wimalarathne and Goh, {Yuhan A} and Fegan, {P Gerry} and Yeap, {Bu B} and Lan, {Nick S R}",

year = "2025",

month = jan,

doi = "10.1111/imj.16599",

language = "English",

volume = "55",

pages = "134--138",

journal = "Internal Medicine Journal",

issn = "1444-0903",

publisher = "John Wiley & Sons",

number = "1",

}

TY - JOUR

T1 - Comparison of cardiovascular risk prediction in type 1 diabetes

T2 - an Australian viewpoint

AU - Wimalarathne, Savindi

AU - Goh, Yuhan A

AU - Fegan, P Gerry

AU - Yeap, Bu B

AU - Lan, Nick S R

PY - 2025/1

Y1 - 2025/1

N2 - Cardiovascular disease (CVD) is a significant burden in individuals with type 1 diabetes mellitus (T1DM). Yet the optimal method of CVD risk stratification remains uncertain. We found that the new Australian CVD risk calculator could overestimate risk category compared with the Steno Type 1 Risk Engine and underestimate risk category compared with the new Swedish/Scottish prediction tool, both of which were validated for T1DM. More research is needed to derive a CVD risk assessment pathway for individuals with T1DM in Australia.

AB - Cardiovascular disease (CVD) is a significant burden in individuals with type 1 diabetes mellitus (T1DM). Yet the optimal method of CVD risk stratification remains uncertain. We found that the new Australian CVD risk calculator could overestimate risk category compared with the Steno Type 1 Risk Engine and underestimate risk category compared with the new Swedish/Scottish prediction tool, both of which were validated for T1DM. More research is needed to derive a CVD risk assessment pathway for individuals with T1DM in Australia.

U2 - 10.1111/imj.16599

DO - 10.1111/imj.16599

M3 - Article

C2 - 39673230

SN - 1444-0903

VL - 55

SP - 134

EP - 138

JO - Internal Medicine Journal

JF - Internal Medicine Journal

IS - 1

ER -

Comparison of cardiovascular risk prediction in type 1 diabetes: an Australian viewpoint

Abstract

UN SDGs

Access to Document

Fingerprint

Cite this