Diabetes without Manifest Cardiovascular Disease: A Novel Approach in Risk Stratification and Treatment Selection.


Journal

Current diabetes reviews
ISSN: 1875-6417
Titre abrégé: Curr Diabetes Rev
Pays: United Arab Emirates
ID NLM: 101253260

Informations de publication

Date de publication:
2020
Historique:
received: 29 09 2019
revised: 10 12 2019
accepted: 26 12 2019
pubmed: 29 1 2020
medline: 25 9 2020
entrez: 29 1 2020
Statut: ppublish

Résumé

Cardiovascular disease (CVD), the main macro vascular complication of type 2 diabetes (T2D), increases the risk of death significantly in patients with T2D. Most of the patients with T2D do not have obvious CVD symptoms. Due to the paucity of data, CVD screening in asymptomatic patients with T2D remains highly controversial. This has driven a panel of experts to establish a novel consensus on how to approach patients with T2D at high CVD risk. The panel formulated a stepwise algorithm by which patients with T2D undergo initial risk stratification into low, intermediate and high risk using the ASCVD calculator. In patients with intermediate risk, coronary artery calcium measurement is used to further stratify those patients into new low and high-risk categories. The panel recommends using standard diabetes care in low risk patients and using SGLT2 inhibitors and GLP1 agonists with cardio protective effect, on top of standard care, in high risk individuals.

Sections du résumé

BACKGROUND BACKGROUND
Cardiovascular disease (CVD), the main macro vascular complication of type 2 diabetes (T2D), increases the risk of death significantly in patients with T2D.
INTRODUCTION BACKGROUND
Most of the patients with T2D do not have obvious CVD symptoms. Due to the paucity of data, CVD screening in asymptomatic patients with T2D remains highly controversial.
METHODS METHODS
This has driven a panel of experts to establish a novel consensus on how to approach patients with T2D at high CVD risk. The panel formulated a stepwise algorithm by which patients with T2D undergo initial risk stratification into low, intermediate and high risk using the ASCVD calculator. In patients with intermediate risk, coronary artery calcium measurement is used to further stratify those patients into new low and high-risk categories.
RESULTS AND CONCLUSION CONCLUSIONS
The panel recommends using standard diabetes care in low risk patients and using SGLT2 inhibitors and GLP1 agonists with cardio protective effect, on top of standard care, in high risk individuals.

Identifiants

pubmed: 31987023
pii: CDR-EPUB-103771
doi: 10.2174/1573399816666200120122929
doi:

Substances chimiques

Cardiovascular Agents 0
GLP1R protein, human 0
Glucagon-Like Peptide-1 Receptor 0
Hypoglycemic Agents 0
Protective Agents 0
Sodium-Glucose Transporter 2 Inhibitors 0
Calcium SY7Q814VUP

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

869-873

Informations de copyright

Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.

Auteurs

Emile Andari (E)

Division of Endocrinology, Department of Internal Medicine, Notre Dame Des Secours, Beirut, Lebanon.

Samir Arnaout (S)

Division of Cardiology, Department of Internal Medicine, American University of Beirut Medical Center, Beirut, Lebanon.

Sami T Azar (ST)

Division of Endocrinology, Department of Internal Medicine, American University of Beirut Medical Center, Beirut, Lebanon.

Elie Chammas (E)

Division of Cardiology, Department of Internal Medicine, Clemenceau Medical Center, Beirut, Lebanon.

Selim Jambart (S)

Division of Endocrinology, Department of Internal Medicine Hotel Dieu De France, Beirut, Lebanon.

Mounzer Saleh (M)

Division of Endocrinology, Department of Internal Medicine, American University of Beirut Medical Center, Beirut, Lebanon.

Rita Nemr (R)

Division of Endocrinology, Department of Internal Medicine, Lebanese American University Medical Center - Rizk Hospital, Beirut, Lebanon.

Antoine Sarkis (A)

Division of Cardiology, Department of Internal Medicine Hotel Dieu De France, Beirut, Lebanon.

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Classifications MeSH