Study type

Study type

Non-interventional study

Scope of the study

Assessment of risk minimisation measure implementation or effectiveness
Drug utilisation
Other

If ‘other’, further details on the scope of the study

Cardiovascular indices
Non-interventional study

Non-interventional study design

Other

Non-interventional study design, other

Intensive monitoring schemes, prescription event monitoring
Study drug and medical condition

Name of medicine

KYPROLIS

Medical condition to be studied

Plasma cell myeloma recurrent
Population studied

Age groups

  • Adult and elderly population (≥18 years)
    • Adults (18 to < 65 years)
      • Adults (18 to < 46 years)
      • Adults (46 to < 65 years)
    • Elderly (≥ 65 years)
      • Adults (65 to < 75 years)
      • Adults (75 to < 85 years)
      • Adults (85 years and over)

Estimated number of subjects

46
Study design details

Main study objective

• to describe cardiovascular complications associated with the use of carfilzomib and investigate the role of the UPS inhibition, in patients treated with carfilzomib and dexametahsone, on atheromatosis and vascular inflammation and function

Outcomes

Changes in hemodynamic markers (peripheral and aortic office blood pressure and 24 hour ambulatory BP monitoring parameters) and in peripheral vascular function (endothelial function, arterial stiffness, arterial wave reflections) before, during and after study drug administration, • Changes in subclinical atherosclerosis markers (carotid intima-media thickness and vascular wall and plaque echogenicity) • changes in markers of cardiac function (ejection fraction, systolic and diastolic strain and strain rate) • changes in circulating cardiac and vascular inflammatory biomarkers before and after study drug administration

Data analysis plan

Data will be presented as mean ± standard deviation (SD). Continuous variables will be tested for normal distribution with the Kolmogorov-Smirnov test. Repeated measures ANOVA will be performed in order to assess significant variations of parameters of interest over time. Linear mixed models analysis will be performed in order to adjust for possible confounders over time. All tests will be two-tailed and statistical significance will be considered for P values less than 0.05. All statistical analyses will be performed using SPSS version 21 for windows (Chicago, ILL, USA).