[Multi-factor model of quality of life in patients with acute coronary syndrome]

Zhonghua Yi Xue Za Zhi. 2008 Mar 11;88(10):688-90.
[Article in Chinese]

Abstract

Objective: To detect the risk factors of quality of life (QOL) in patients with acute coronary syndrome (ACS), so as to help doctors to recognize the risk population with impaired QOL.

Methods: 403 hospitalized ACS patients, 252 males and 151 females, aged 67 12, 168 with ST-segment elevation myocardial infarction (STEMI), 4 with non-ST-segment elevation myocardial infarction (NSTEMI), and 74 with unstable angina pectoris (UAP), were surveyed with short-form-36 (SF-36) scale (Chinese version), including physical component summary (PCS) and mental component summary (MCS) so as to analyze the QOL, hospital anxiety depression scales (HADS) so as to detect the anxiety status. Multiple linear regression analysis was conducted to identify the variables associated with QOL.

Results: Of the 403 patients 84 (20.8%) suffered from anxiety, 43 (10.7%) suffered from depression, and 144 (35.7%) suffered from depression combined with anxiety symptoms . Age (r = -0.237, P < 0.001), being female (r = -0.183, P < 0.001), depression (r = -0.180; P < 0.001), and anxiety (r = -0.211, P <0. 001) were independent risk factors of physical QOL. Age (r = -0.117, P = 0.01), depression (r =-0.169, P = 0.004), and anxiety (r = -0.215, P < 0.001) were independently negatively correlated with mental QOL. Smoking was unexpectedly a protective factor for MCS (r = 0.157, P = 0.001).

Conclusion: Depression and anxiety are common in patients diagnosed as with ACS, and appear to be related to significant worsening of QOL. The patients being female, with elder age, and suffering from depression and/or anxiety may be with impaired QOL, and need more care and effective intervention.

Publication types

  • English Abstract

MeSH terms

  • Acute Coronary Syndrome / epidemiology
  • Acute Coronary Syndrome / psychology*
  • Aged
  • Anxiety / psychology
  • China / epidemiology
  • Cohort Studies
  • Female
  • Humans
  • Logistic Models
  • Male
  • Middle Aged
  • Multivariate Analysis
  • Prospective Studies
  • Quality of Life*
  • Risk Factors