Algorithm of anxiodepressive disorders detection in patients with coronary heart disease in general clinical practice


Cite item

Full Text

Abstract

Aim. To estimate a diagnostic algorithm for anxiodepressive disorders (ADD) in coronary patients in general therapeutic practice.
Material and methods. A total of 163 coronary patients were examined using Seattle, Moriski and Green, Hospital questionnaires for anxiety and depression. Patients with clinical and subclinical anxiety and/or depression by Hospital testing responded to Hamilton anxiety and depression questionnaire. An analysis of clinical, anamnestic and socioeconomic parameters was made to create a multifactor model for ADD detection in coronary patients basing on the method of multiple logistic regression.
Results. A model of ADD dependence Z = -3.446 [presence or absence of anxiety and/or depression in the past]-2.451[presence or absence of stress for a year] - 2.452 [drinking alcohol or rejection of alcohol] + 0.071 [the disease perception in percent from Seattle angina questionnaire]. In certain combination of responses (presence or absence of parameters) and digital result in 7 combinations the patients can be diagnosed to have ADD.
Conclusion. The diagnostic algorithm proposed helps ADD detection in coronary patients in general therapeutic practice without participation of psychotherapists and medical psychologists.

About the authors

Svetlana Nikolaevna Kozlova

Email: senpolia58@yandex.ru

Evgeniy Vladimirovich Shlyakhto

Aleksandr Valer'evich Golubev

Yuliya Sergeevna Krylova

Nikolay Grigor'evich Neznanov

Boris Ivanovich Smirnov

S N Kozlova

V.A. Almazov State Federal Heart, Blood and Endocrinology Center;I.P. Pavlov St-Petersburg State Medical University, Chair of Therapy

V.A. Almazov State Federal Heart, Blood and Endocrinology Center;I.P. Pavlov St-Petersburg State Medical University, Chair of Therapy

E V Shlyakhto

V.A. Almazov State Federal Heart, Blood and Endocrinology Center

V.A. Almazov State Federal Heart, Blood and Endocrinology Center

A V Golubev

I.P. Pavlov St-Petersburg State Medical University, Chair of Therapy

I.P. Pavlov St-Petersburg State Medical University, Chair of Therapy

Yu S Krylova

V.A. Almazov State Federal Heart, Blood and Endocrinology Center

V.A. Almazov State Federal Heart, Blood and Endocrinology Center

N G Neznanov

I.P. Pavlov St-Petersburg State Medical University, Chair of Therapy

I.P. Pavlov St-Petersburg State Medical University, Chair of Therapy

B I Smirnov

Ulianov (Lenin) State Electrotechnical University

Ulianov (Lenin) State Electrotechnical University

References

  1. Arioy A. A., Haan M., Tangen C. M. et al. Depressive symptoms and risks of coronary heart disease and mortality in elderly Americans. Cardiovascular Health Study Colloborative Research Group. Circulation 2000; 102 (15): 1773-1779.
  2. Barefoot J. C., Helms M. J., Mark D. B. et al. Depression and long-term mortality risk in patients with coronary artery disease. Am. J. Cardiol. 1996; 78 (6): 613-617.
  3. Frasure-Smith N., Lesperance F., Juneau M. et al. Gender, depression and one-year prognosis after myocardial infarction. Psychosom. Med. 1999; 61 (1): 26-37.
  4. Ylipaavalniemi J., Kivimak M., Elovainio M. et al. Psychosocial work characteristics and incidence of newly diagnosed depression: a prospective cohort study of three different models. Soc. Sci. Med. 2005; 61 (1): 111-122.
  5. Haines A. P., Imeson J. D., Meade T. W. Phobic anxiety and ischemic heart disease. Br. Med. J. 1987; 295: 297-299.
  6. Kawachi I., Colditz G. A. Prospective study of phobic anxiety and risk of coronary heart disease in men. Circulation 1994; 89: 1992-1997.
  7. Zigmond A. S., Snaith R. P. The hospital anxiety and depression scale. Acta Psychiatr. Scand. 1983; 67: 361-370.
  8. Hamilton M. Hamilton anxiety scale. In: Gue W., ed. ECDEU Assessment manual for psychopharmacology: Rev. ed. Washington, DC: US Department of Health, Education and Welfare; 1976. 193-198.
  9. Hamilton M. A rating for depression. J. Neurol. Neurosurg. Psychiatry 1960; 23: 56-61.
  10. Morisky D. E., Green L. W., Levine D. M. Concurrent and predictive validity of self-reported measure of medical adherence. Med. Care 1986; 24: 67-73.
  11. Campeau L. Grading of angina pectoris. Circulation 1976; 54: 522-523.
  12. Spertus J. A., Winder J. A., Dewhurst T. A. et al. Development and evaluation of the Seattle Angina Questionnaire: a new functional status measure for coronary artery disease. J. Am. Coll. Cardiol. 1995; 25 (2): 333-341.
  13. Guidelines on low risk drinking. Toronto; Ottawa: Addiction Research Foundation and Canadian Centre on Substance Abuse: 1997.
  14. American Psychiatric Association. Diagnostic and statistical manual of mental disorders. Washington, DC: American Psychiatric Association; 2000.
  15. Kessler R. C., Walters E. E. Epidemiology of DSM-III-R major depression and minor depression among adolescents and young adults in the national comorbidity survey. Depress. Anxiety 1998; 7: 3-14.
  16. Kessler R. C., Zhao S., Blazer D. G., Swartz M. Prevalence, correlates and course of minor depression and major depression in the national comorbidity survey. J. Affect. Disor. 1997; 45: 19-30.
  17. Lane D., Carroll D., Ring C. et al. The prevalence and persistence of depression and anxiety following myocardial infarction. Br. J. Hlth Psychol. 2002; 7: 11-21.
  18. Kaptein K., de Jonge P., van den Brink R. H., Korf J. Course of depressive symptoms after myocardial infarction and cardiac prognosis: a latent class analysis. Psychosom. Med. 2006; 68: 662-668.
  19. Paykel E. S. Life events and affective disorders. Acta Psychiatr. Scand. 2003; 108: 61-66.
  20. Mitchell P. B., Gordon B. P., Gladstone G. L. et al. Severity of stressful life events in first and subsequent episodes of depression: the relevance of depressive subtype. J. Affect. Disord. 2003; 73: 245-252.
  21. You S., Conner K. R. Stressful life events and depressive symptoms. J. Nerv. Ment Dis. 2009; 197 (11): 829-833.
  22. Takada M., Suzuki A., Shima S. et al. Associations between lifestyle factors, working environment, depressive symptoms and suicidal ideation: a large-scale study in Japan. Industr. Hlth 2009; 47: 649-655.
  23. Yokota K., Yamamura M. Evaluation of corporate workers depression and correlating factors: based on analysis of SDS and period medical examination. J. Jpn. Hlth Sci. 2007; 9: 217- 224.
  24. Tanaka K., Ihara K., Iwasaki A. Prevalence of and factors associated with depressive states in middle-aged workers. Showa Univ. J. Med. Sci. 2002; 14: 27-33.
  25. Petrakis I. L. G., Gerardo R. R., Krystal J. H. Comorbidity of alcoholism and psychiatric disorders: an overview. Alcohol Res. Hlth 2002; 26 (2): 81-89.
  26. Spertus J. A., McDonell M., Woodman C. L., Fihn D. Association between depression and worse disease-specific functional status in outpatients with coronary artery disease. Am. Heart J. 2000; 140 (1): 105-110.

Supplementary files

Supplementary Files
Action
1. JATS XML
Download

Copyright (c) 2011 Consilium Medicum

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
 

Address of the Editorial Office:

  • Novij Zykovskij proezd, 3, 40, Moscow, 125167

Correspondence address:

  • Alabyan Street, 13/1, Moscow, 127055, Russian Federation

Managing Editor:

  • Tel.: +7 (926) 905-41-26
  • E-mail: e.gorbacheva@ter-arkhiv.ru

 

 © 2018-2021 "Consilium Medicum" Publishing house


This website uses cookies

You consent to our cookies if you continue to use our website.

About Cookies