Type D personality and cardiac mortality in patients with chronic heart failure

Int J Cardiol. 2010 Jul 23;142(3):230-5. doi: 10.1016/j.ijcard.2008.12.090. Epub 2009 Jan 21.

Abstract

Background: Clinical predictors of cardiac mortality in chronic heart failure (CHF) are established, but less is known about chronic psychological predictors. Therefore, we examined the prognostic value of Type D personality (tendency to experience negative feelings and inhibit self-expression) in CHF patients.

Methods and results: Consecutive systolic CHF outpatients (n=232) filled in the Type D Scale (DS14) at baseline. Socio-demographic and clinical data were obtained from the medical record/cardiologist. The primary endpoint was total cardiac mortality (follow-up=30.7+/-11.1 months). Late (>6 months) cardiac mortality was the secondary endpoint. Type D patients had a higher incidence of total cardiac mortality (15/48=31.3%) as compared to non Type D patients (32/184=17.4%), OR=2.16;95%CI:1.05-4.43, p=.04. Type D personality was a near significant independent predictor of total cardiac mortality (OR=1.40;95%CI:0.93-4.29, p=.08), and a significant independent predictor of late cardiac mortality, adjusting for sex, age and left ventricular ejection fraction (OR=2.34;95%CI:1.05-5.26, p=.04).

Conclusions: Type D personality was a near-significant independent predictor of total cardiac mortality, and a significant independent predictor of late cardiac mortality, adjusting for socio-demographics and disease-severity. These findings suggest that Type D personality, a chronic psychological risk factor, is of importance in long-term prognosis in CHF.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aged
  • Chronic Disease
  • Death, Sudden, Cardiac / epidemiology
  • Female
  • Follow-Up Studies
  • Heart Failure / mortality*
  • Heart Failure / psychology*
  • Humans
  • Incidence
  • Kaplan-Meier Estimate
  • Male
  • Middle Aged
  • Negativism*
  • Personality*
  • Predictive Value of Tests
  • Prognosis
  • Risk Factors