Dataset Information

Risk Assessment in Patients With Diabetes With the TIMI Risk Score for Atherothrombotic Disease.

ABSTRACT: OBJECTIVE:Improved risk assessment for patients with type 2 diabetes and elevated cardiovascular (CV) risk is needed. The Thrombolysis in Myocardial Infarction (TIMI) Risk Score for Secondary Prevention (TRS 2°P) predicts a gradient of risk in patients with prior myocardial infarction (MI) but has not been evaluated in patients with type 2 diabetes. RESEARCH DESIGN AND METHODS:CV event rates were compared by baseline TRS 2°P in 16,488 patients enrolled in SAVOR-TIMI 53 (Saxagliptin Assessment of Vascular Outcomes Recorded in Patients with Diabetes Mellitus-Thrombolysis in Myocardial Infarction 53) with type 2 diabetes and high CV risk or established CV disease. Calibration was tested in the diabetes cohort from the REACH (REduction of Atherothrombosis for Continued Health) Registry. RESULTS:TRS 2°P revealed a robust risk gradient for the composite of CV death, MI, and ischemic stroke in the full trial population, with 2-year event rates of 0.9% in the lowest- and 19.8% in the highest-risk groups (Ptrend < 0.001). A clear risk gradient was present within the subgroups of all coronary artery disease (CAD), CAD without prior MI, CAD with prior MI, peripheral artery disease, and prior stroke (Ptrend < 0.001 for each), with consistent risk relationships across subgroups. The C-statistic (0.71 for CV death and 0.66 for the composite end point) was consistent in each subgroup. There was close calibration with the type 2 diabetes cohort from the REACH Registry (goodness-of-fit P = 0.78). CONCLUSIONS:The expanded TRS 2°P provides a practical and well-calibrated risk prediction tool for patients with type 2 diabetes.

SUBMITTER: Bergmark BA

PROVIDER: S-EPMC5829964 | biostudies-literature | 2018 Mar

REPOSITORIES: biostudies-literature

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Risk Assessment in Patients With Diabetes With the TIMI Risk Score for Atherothrombotic Disease.

Bergmark Brian A BA Bhatt Deepak L DL Braunwald Eugene E Morrow David A DA Steg Ph Gabriel PG Gurmu Yared Y Cahn Avivit A Mosenzon Ofri O Raz Itamar I Bohula Erin E Scirica Benjamin M BM

Diabetes care 20171201 3

<h4>Objective</h4>Improved risk assessment for patients with type 2 diabetes and elevated cardiovascular (CV) risk is needed. The Thrombolysis in Myocardial Infarction (TIMI) Risk Score for Secondary Prevention (TRS 2°P) predicts a gradient of risk in patients with prior myocardial infarction (MI) but has not been evaluated in patients with type 2 diabetes.<h4>Research design and methods</h4>CV event rates were compared by baseline TRS 2°P in 16,488 patients enrolled in SAVOR-TIMI 53 (Saxaglipti ...[more]

PMID: 29196298

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Project description:Background Patients with stable atherothrombotic disease vary in their risk of developing heart failure (HF). Circulating cardiovascular biomarkers may improve HF risk assessment and identify patients who may benefit from emerging HF preventive therapies. Methods and Results We measured high-sensitivity cardiac troponin I and BNP (B-type natriuretic peptide) in 15 833 patients with prior myocardial infarction, ischemic stroke, or peripheral artery disease from the TRA 2°P-TIMI 50 (Thrombin Receptor Antagonist in Secondary Prevention of Atherothrombotic Ischemic Events-Thrombolysis in Myocardial Infarction 50) trial, excluding patients with recent myocardial infarction (<30 days). Biomarkers were categorized using a priori cut points. Hospitalization for HF (HHF) end points were adjudicated with blinded structured review of serious adverse events. Associations between biomarkers and HHF outcomes were adjusted for sex and independent clinical risk predictors of HHF in our cohort (age ≥75, prior HF, type 2 diabetes mellitus, polyvascular disease, body mass index, anemia, chronic kidney disease, hypertension). Baseline high-sensitivity cardiac troponin I and BNP each identified a significant graded risk of HHF independent of clinical risk predictors, including in the subgroups of patients with and without type 2 diabetes mellitus and with and without prior HF. Patients with both high-sensitivity cardiac troponin I ≥5 ng/L and BNP ≥100 pg/mL had the highest HHF event rates. When added to a multivariable Cox regression model with clinical risk predictors (C-index 0.88; 95% CI, 0.85-0.90), BNP (C -index 0.92; 95% CI, 0.90-0.93), and high-sensitivity cardiac troponin I (C-index 0.90; 95% CI, 0.88-0.92) each significantly improved the prognostic performance of the model (both PLRT<0.001). Conclusions Biomarkers of myocardial injury and hemodynamic stress are independent predictors of HHF risk in patients with stable atherothrombotic disease, with and without prior HF and/or type 2 diabetes mellitus. Registration URL: https://www.clinicaltrials.gov; Unique identifier: NCT00526474.

Project description:BackgroundFractures in Gaucher disease type 1 (GD1) patients cause significant morbidity. Fracture risk may be decreased by enzyme replacement therapy (ERT) but not eliminated. When considering initiation of treatment, it is useful to know to what extent fixed patient-specific factors determine risk for future fractures beyond standard risk factors that change with time and treatment, such as decreased bone mineral density. We developed a tool called the GRAF score (Gaucher Risk Assessment for Fracture) that applies 5 widely available characteristics (sex, age at treatment initiation [ATI], time interval between diagnosis and treatment initiation, splenectomy status, history of pre-treatment bone crisis) and provides a practical method to assess future fracture risk when imiglucerase ERT is initiated.MethodsInclusion criteria: GD1 patients in the International Collaborative Gaucher Group Gaucher Registry as of September 2019 initially treated with alglucerase/imiglucerase; known splenectomy status; at least one skeletal assessment on treatment (3216 of 6422 patients). Data were analyzed by ATI group (< 18, ≥ 18 to < 50, or ≥ 50 years of age) using Cox proportional hazards regression with all 5 risk factors included in the multivariable model. A composite risk score was calculated by summing the contribution of each parameter weighted by the strength of its association (regression coefficient) with fracture risk.ResultsPatients were followed from the date of treatment initiation (or age 18 years for patients if treatment started earlier) to the date of first adult fracture (n = 288 first fracture endpoints), death, or end of follow-up. The GRAF score for each ATI group was associated with a 2.7-fold increased risk of adult fracture for each one-point increase (p < 0.02 for < 18 ATI, p < 0.0001 for ≥ 18 to < 50 ATI and ≥ 50 ATI).ConclusionsThe GRAF score is a tool to be used with bone density and other modifiable, non-GD-specific risk factors (e.g. smoking, alcohol intake, frailty) to inform physicians and previously untreated GD1 patients about risk for a future fracture after starting imiglucerase regardless of whether there is an eventual switch to an alternative ERT or to substrate reduction therapy. GRAF can also help predict the extent that fracture risk increases if initiation of treatment is further delayed.

Dataset Information

Risk Assessment in Patients With Diabetes With the TIMI Risk Score for Atherothrombotic Disease.

Publications

Risk Assessment in Patients With Diabetes With the TIMI Risk Score for Atherothrombotic Disease.

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