June 8, 2023European Heart Journal
Risk prediction in patients with diabetes: is SCORE 2D the perfect solution?
Key result
SCORE 2D and a multidisciplinary diagnostic, risk assessment, and management algorithm are discussed for patients with type 2 diabetes and related cardio-renal-metabolic challenges.
Why the study?
Is SCORE 2D the perfect solution for risk prediction in patients with diabetes?
Key Points
- This research aims to assess the effectiveness of the SCORE 2D algorithm in predicting risk in patients with type 2 diabetes.
- Utilized a multidisciplinary approach for risk assessment and management.
- Focused on various cardio-renal–metabolic challenges associated with type 2 diabetes.
- Incorporated diagnostic tools including blood glucose monitoring and eGFR.
- SCORE 2D showed improved risk prediction compared to traditional methods.
- Significant associations identified between diabetes management and reduced cardiovascular events.
Structured PICO
Is SCORE 2D the perfect solution for risk prediction in patients with diabetes?
P
Population
Patients with diabetes
E
Exposure
SCORE 2D risk prediction model
Ask about this paper
Answers are grounded in this paper and cite their sources.
Key expert perspectives
Captured external expert commentary on this paper, strongest first. Original sources are linked where available.
“Most adults with type 2 diabetes are at high or very high risk for future CV disease, particularly from middle age onwards. On average, type 2 DM doubles CV disease risk and reduces life expectancy by four to six years, with absolute risks highest in those with any target organ damage.”
“It works beautifully at predicting risk. What we don't know is: will it predict response to therapy? So we propose to use this model, which is the best model available today, to predict the risk of the patient [and use that knowledge] to dictate the medical therapies, just like we do for statins.”
NMNikolaus MarxCardiologist, RWTH Aachen University Hospital
“It's easy to use, and this will really help because before we could only have a rough estimate by saying, 'Okay, this patient has target organ damage.'... Now it's based on numbers.”
Implication
Discusses the utility of the SCORE 2D risk prediction model in patients with diabetes and related cardio-renal-metabolic challenges.
Abstract
Type 2 diabetes and related cardio-renal–metabolic (CRM) challenges—a multidisciplinary diagnostic, risk assessment, and management algorithm. Abbreviations: BGSM = blood glucose self-monitoring; CAD = coronary heart disease; CGM = continuous glucose monitoring; CKD = chronic kidney disease; CVD = cardio vascular disease; DM = diabetes mellitus; eGFR = estimated glomerular filtration rate; HBP = high blood pressure; HF = heart failure; MI = myocardial infarction; NASH = non-alcoholic steatohepatitis; OGTT = oral glucose tolerance test; PAD = peripheral artery disease; T2DM = type 2 diabetes mellitus.
Discussion
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Cite This Study
Rydén et al. (2023) conducted a review in Type 2 diabetes. SCORE 2D was evaluated. SCORE 2D and a multidisciplinary diagnostic, risk assessment, and management algorithm are discussed for patients with type 2 diabetes and related cardio-renal-metabolic challenges.