The cost effectiveness and cost utility of valsartan in chronic heart failure therapy in Italy: a probabilistic markov model

Am J Cardiovasc Drugs. 2009;9(6):383-92. doi: 10.2165/11315730-000000000-00000.

Abstract

To evaluate the cost effectiveness and cost utility of the use of valsartan in addition to standard therapy for the treatment of patients with chronic heart failure with low left ventricular ejection fraction (LVEF). The study was conducted by means of a cohort simulation based on a probabilistic Markov model and projecting the 23-month follow-up results of the Val-HeFT (Valsartan Heart Failure Trial) study over a 10-year time horizon. The model included four states (New York Heart Association [NYHA] classes II, III, IV, and death), and had a cycle duration of 1 month. Probabilistic simulations were performed using the WinBUGS software for Bayesian analysis. The distribution of patient parameters (sex, age, use of beta-adrenoceptor antagonists, and ACE inhibitors) in the simulated population were derived from the Italian heart failure patient population. Individual mortality data were derived from general mortality data by multiplying by a NYHA state-specific relative risk, while the probability of changing NYHA class was taken from the Val-HeFT data. Costs (2007 values) were calculated from the perspective of the Italian Health Service (IHS) and included costs for drugs and heart failure hospitalizations. Quality-of-life (QOL) weights were obtained by using published health-related QOL data for heart failure patients. A 3.5% annual discount rate was applied. Probabilistic sensitivity analysis was performed on each parameter using original-source 95% confidence interval (CI) values, or a +/-10% range when 95% CI values were unavailable. For the 10-year time horizon, patients were estimated to live for an average of 2.3 years or 1.7 quality-adjusted life-years (QALYs), with slight increases in the valsartan group. In this group, hospitalizations for worsening heart failure were predicted to be significantly reduced and overall treatment costs per patient to decrease by about and U20AC;550. In subgroup analyses, valsartan lost dominance in patients in NYHA II, and in those receiving beta-adrenoceptor antagonists or ACE inhibitors; the mean incremental cost-utility ratio for these groups was 21 240, 129 200, and 36 500 and U20AC;/QALY, respectively. Valsartan in addition to standard therapy is predicted to dominate standard therapy alone in Italian patients with mild to severe heart failure and low LVEF. There are relevant differences among various patient subgroups, and valsartan is expected to be good value for money particularly in the treatment of the most severe and less intensively treated (no ACE inhibitors, no beta-adrenoceptor antagonist) heart failure patients.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Age Factors
  • Aged
  • Antihypertensive Agents / economics*
  • Antihypertensive Agents / therapeutic use
  • Chronic Disease / drug therapy
  • Chronic Disease / economics
  • Computer Simulation
  • Cost-Benefit Analysis / methods*
  • Drug Costs
  • Female
  • Heart Failure / drug therapy*
  • Heart Failure / economics*
  • Heart Failure / mortality
  • Hospital Costs
  • Humans
  • Italy
  • Male
  • Markov Chains*
  • Middle Aged
  • Models, Statistical
  • Quality of Life
  • Quality-Adjusted Life Years
  • Sex Factors
  • Tetrazoles / economics*
  • Tetrazoles / therapeutic use
  • Valine / analogs & derivatives*
  • Valine / economics
  • Valine / therapeutic use
  • Valsartan

Substances

  • Antihypertensive Agents
  • Tetrazoles
  • Valsartan
  • Valine