Prognostic Implications of Biomarker Assessments in Patients With Type 2 Diabetes at High Cardiovascular Risk: A Secondary Analysis of a Randomized Clinical Trial.

Importance Cardiac biomarkers provide insights into pathophysiologic processes and offer an attractive strategy for the assessment of cardiovascular risk. Objective To assess the incremental prognostic value of biomarkers that reflect different pathophysiologic processes in patients with type 2 diabetes. Design, Setting, and Participants The Saxagliptin Assessment of Vascular Outcomes Recorded in Patients with Diabetes Mellitus (SAVOR)-Thrombolysis in Myocardial Infarction (TIMI) 53 is a randomized, double-blind, placebo-controlled clinical trial that evaluated the safety of saxagliptin vs placebo in 16 492 outpatients with type 2 diabetes with overt cardiovascular disease (CVD) or multiple risk factors. In this secondary analysis, widely used biomarkers were evaluated to ascertain whether they would provide incremental prognostic value in the risk stratification. Median follow-up was 2.1 years (interquartile range, 1.8-2.3 years). The study was performed from May 10, 2010, to June 15, 2013. Interventions Randomization to saxagliptin vs placebo in addition to standard care. Main Outcomes and Measures Concentrations of high-sensitivity troponin T, N-terminal pro-B-type natriuretic peptide, and high-sensitivity C-reactive protein were analyzed continuously and by established cut points. Cardiovascular death, myocardial infarction, ischemic stroke, and hospitalization for heart failure (HF) were adjudicated by a blinded events committee. Results Of the 16 492 patients, 5455 (33.1%) were female and 11 037 (66.9%) were male. Mean (SD) age was 65.0 (8.5) years (range, 39-99 years). Baseline biomarkers were measured in 12 310 patients. Elevated levels of each biomarker were associated significantly with increased risk for all cardiovascular end points. When added to clinical variables, biomarkers significantly improved the discrimination and appropriate reclassification of risk. Elevated high-sensitivity troponin T was associated with an increased risk of cardiovascular death (adjusted hazard ratio [AHR], 3.07; 95% CI, 2.35-4.02; P < .001), myocardial infarction (AHR, 2.13; 95% CI, 1.69-2.67; P < .001), and hospitalization for HF (AHR, 3.85; 95% CI, 2.82-5.27; P < .001). Elevated N-terminal pro-B-type natriuretic peptide was also associated with an increased risk of cardiovascular death (AHR, 3.09; 95% CI, 2.46-3.89; P < .001), myocardial infarction (AHR, 1.95; 95% CI, 1.51-2.53; P < .001), and hospitalization for HF (AHR, 3.92; 95% CI, 3.11-4.92; P < .001). Elevated high-sensitivity C-reactive protein was more weakly associated with an increased risk of cardiovascular death (AHR, 1.49; 95% CI, 1.22-1.82; P < .001) and hospitalization for HF (AHR, 1.47; 95% CI, 1.20-1.81; P < .001). Consistent results were seen in patients with or without established CVD. Conclusions and Relevance A substantial proportion of patients with stable type 2 diabetes with established CVD or multiple clinical risk factors have evidence of ongoing myocardial injury, hemodynamic stress, or systemic inflammation. Biomarker risk stratification thus challenges the traditional differentiation between primary and secondary prevention based simply on clinical history. Strategies to improve risk stratification in patients with type 2 diabetes, with or without CVD, should consider incorporation of biomarker data into standard risk algorithms. Trial Registration clinicaltrials.gov Identifier: NCT01107886.

[1]  M. Pfeffer,et al.  A sensitive cardiac troponin T assay in stable coronary artery disease. , 2009, The New England journal of medicine.

[2]  F. Harrell,et al.  Criteria for Evaluation of Novel Markers of Cardiovascular Risk: A Scientific Statement From the American Heart Association , 2009, Circulation.

[3]  C. O'connor,et al.  Effect of B-type natriuretic peptide-guided treatment of chronic heart failure on total mortality and hospitalization: an individual patient meta-analysis , 2014, European heart journal.

[4]  L. Irwig,et al.  Assessing new biomarkers and predictive models for use in clinical practice: a clinician's guide. , 2008, Archives of internal medicine.

[5]  H. Katus,et al.  High-sensitivity cardiac troponin T for early prediction of evolving non-ST-segment elevation myocardial infarction in patients with suspected acute coronary syndrome and negative troponin results on admission. , 2010, Clinical chemistry.

[6]  Nader Rifai,et al.  Multimarker Approach to Risk Stratification in Non-ST Elevation Acute Coronary Syndromes: Simultaneous Assessment of Troponin I, C-Reactive Protein, and B-Type Natriuretic Peptide , 2002, Circulation.

[7]  M. Pencina,et al.  Interpreting incremental value of markers added to risk prediction models. , 2012, American journal of epidemiology.

[8]  Deepak L. Bhatt,et al.  Impact of Diabetes Mellitus on Hospitalization for Heart Failure, Cardiovascular Events, and Death: Outcomes at 4 Years From the Reduction of Atherothrombosis for Continued Health (REACH) Registry , 2015, Circulation.

[9]  Deepak L. Bhatt,et al.  The design and rationale of the saxagliptin assessment of vascular outcomes recorded in patients with diabetes mellitus-thrombolysis in myocardial infarction (SAVOR-TIMI) 53 study. , 2011, American heart journal.

[10]  B. Zinman,et al.  Empagliflozin, Cardiovascular Outcomes, and Mortality in Type 2 Diabetes. , 2015, The New England journal of medicine.

[11]  Robert H Christenson,et al.  Age- and sex-dependent upper reference limits for the high-sensitivity cardiac troponin T assay. , 2014, Journal of the American College of Cardiology.

[12]  M. Pencina,et al.  Evaluating the added predictive ability of a new marker: From area under the ROC curve to reclassification and beyond , 2008, Statistics in medicine.

[13]  H. Parving,et al.  Plasma N-terminal pro-B-type natriuretic peptide and mortality in type 2 diabetes , 2006, Diabetologia.

[14]  Spiros Denaxas,et al.  Type 2 diabetes and incidence of cardiovascular diseases: a cohort study in 1·9 million people , 2015, The Lancet.

[15]  Christopher P Cannon,et al.  Diabetes and mortality following acute coronary syndromes. , 2007, JAMA.

[16]  Comparative determinants of 4-year cardiovascular event rates in stable outpatients at risk of or with atherothrombosis. , 2010, JAMA.

[17]  C. Lau,et al.  Predictive value of high-sensitivity troponin-I for future adverse cardiovascular outcome in stable patients with type 2 diabetes mellitus , 2014, Cardiovascular Diabetology.

[18]  Deepak L. Bhatt,et al.  Troponin and Cardiac Events in Stable Ischemic Heart Disease and Diabetes. , 2015, The New England journal of medicine.

[19]  G. Bruno,et al.  N-Terminal Probrain Natriuretic Peptide Is a Stronger Predictor of Cardiovascular Mortality Than C-Reactive Protein and Albumin Excretion Rate in Elderly Patients With Type 2 Diabetes , 2013, Diabetes Care.

[20]  D. Tanné,et al.  Pioglitazone after Ischemic Stroke or Transient Ischemic Attack. , 2016, The New England journal of medicine.

[21]  M. Sabatine,et al.  Assessment of multiple cardiac biomarkers in non-ST-segment elevation acute coronary syndromes: observations from the MERLIN-TIMI 36 trial. , 2011, European heart journal.

[22]  Fred S Apple,et al.  Third universal definition of myocardial infarction , 2012 .

[23]  Laurie Quinn,et al.  Update on Prevention of Cardiovascular Disease in Adults With Type 2 Diabetes Mellitus in Light of Recent Evidence: A Scientific Statement From the American Heart Association and the American Diabetes Association. , 2015, Circulation.

[24]  Deepak L. Bhatt,et al.  Saxagliptin and cardiovascular outcomes in patients with type 2 diabetes mellitus. , 2013, The New England journal of medicine.

[25]  Eric E. Smith,et al.  2014 ACC/AHA Key Data Elements and Definitions for Cardiovascular Endpoint Events in Clinical Trials: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Data Standards (Writing Committee to Develop Cardiovascular Endpoints Data Standards). , 2015, Circulation.

[26]  F. Harrell,et al.  Regression modelling strategies for improved prognostic prediction. , 1984, Statistics in medicine.

[27]  M. Pfeffer,et al.  Prognostic value of B-Type natriuretic peptides in patients with stable coronary artery disease: the PEACE Trial. , 2007, Journal of the American College of Cardiology.

[28]  Gary L Myers,et al.  Markers of inflammation and cardiovascular disease: application to clinical and public health practice: A statement for healthcare professionals from the Centers for Disease Control and Prevention and the American Heart Association. , 2003, Circulation.

[29]  S. Yusuf,et al.  Identifying Novel Biomarkers for Cardiovascular Events or Death in People With Dysglycemia , 2015, Circulation.

[30]  N. Cook,et al.  Sensitive Cardiac Troponin T Assay and the Risk of Incident Cardiovascular Disease in Women With and Without Diabetes Mellitus: The Women's Health Study , 2011, Circulation.

[31]  Deepak L. Bhatt,et al.  Heart Failure, Saxagliptin, and Diabetes Mellitus: Observations from the SAVOR-TIMI 53 Randomized Trial , 2014, Circulation.

[32]  R. Prager,et al.  PONTIAC (NT-proBNP selected prevention of cardiac events in a population of diabetic patients without a history of cardiac disease): a prospective randomized controlled trial. , 2013, Journal of the American College of Cardiology.

[33]  J. Danesh,et al.  Diabetes mellitus, fasting blood glucose concentration, and risk of vascular disease: a collaborative meta-analysis of 102 prospective studies. , 2010, Lancet.

[34]  A. Sharrett,et al.  Diabetes Mellitus, Prediabetes, and Incidence of Subclinical Myocardial Damage , 2014, Circulation.