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1. A Standards-Based Software Tool to Evaluate the Added Prognostic Value of Biomarkers: A Demonstration With NT-proBNP and Cardiac Troponin-T for Heart Failure Prognosis Within a New Zealand Cohort

2. Pharmacogenomic Variation in Antiplatelet and Anticoagulant Medication Response: Data from the Multi-Ethnic New Zealand Study of Acute Coronary Syndromes

13. A prospective prostate cancer screening programme for men with pathogenic variants in mismatch repair genes (IMPACT): initial results from an international prospective study.

17. List of contributors

20. Comparison of the management and in-hospital outcomes of acute coronary syndrome patients in Australia and New Zealand: results from the binational SNAPSHOT acute coronary syndrome 2012 audit

21. Large-scale discovery of novel genetic causes of developmental disorders

22. Circulating levels and prognostic cut-offs of sST2, high-sensitivity troponin T, and NT-proBNP in women vs. men with chronic heart failure

24. Evacetrapib and Cardiovascular Outcomes in High-Risk Vascular Disease

25. Modifying effect of dual antiplatelet therapy on incidence of stent thrombosis according to implanted drug-eluting stent type

26. A controlled nucleation and formation rate of self-assembled peptide nanofibers

33. The Impact of a National COVID-19 Lockdown on Acute Coronary Syndrome Hospitalisations in New Zealand: an ANZACS-QI study

34. Outcomes Among Patients With First-Time Acute Coronary Syndromes in New Zealand: The Multi-Ethnic New Zealand Study of Acute Coronary Syndromes (MENZACS)

35. Assessing the cardiology community position on transradial intervention and the use of bivalirudin in patients with acute coronary syndrome undergoing invasive management: results of an EAPCI survey

39. A028 The Multi-Ethnic New Zealand Study of Acute Coronary Syndromes (MENZACS): Baseline Characteristics of Patients With First-time ACS

49. Psychosocial impact of undergoing prostate cancer screening for men with BRCA1 or BRCA2 mutations

50. Finding Diagnostically Useful Patterns in Quantitative Phenotypic Data

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