Quantifying the level of difficulty to treat major depressive disorder with antidepressants: Treatment Resistance to Antidepressants Evaluation Scale


Autoři: Tzu-Yu Liu aff001;  Po-Hsiu Kuo aff002;  Mong-Liang Lu aff003;  Ming-Chyi Huang aff004;  Chun-Hsin Chen aff003;  Tzu-Hua Wu aff005;  Sabrina Wang aff006;  Wei-Chung Mao aff007;  Hsi-Chung Chen aff001
Působiště autorů: Department of Psychiatry, National Taiwan University Hospital, Taipei, Taiwan aff001;  Graduate Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan aff002;  Department of Psychiatry, Wan-Fang Hospital; Taipei & School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan aff003;  Department of Psychiatry, Taipei City Hospital, Songde Branch, Taipei, Taiwan aff004;  Department of Clinical Pharmacy, School of Pharmacy, College of Pharmacy, Taipei Medical University, Taipei, Taiwan aff005;  Institute of Anatomy and Cell Biology, School of Medicine, National Yang-Ming University, Taiwan, Taipei, Taiwan aff006;  Department of Psychiatry, Cheng-Hsin General Hospital, Taipei, Taiwan aff007
Vyšlo v časopise: PLoS ONE 15(1)
Kategorie: Research Article
doi: 10.1371/journal.pone.0227614

Souhrn

Background

The present study aimed to develop a new scale to evaluate the level of difficulty in treating major depressive disorder with antidepressants based on the lifetime treatment profile.

Methods

In addition to evaluating the difficulty of treatment with antidepressants (A subscale), the Treatment Resistance to Antidepressants Evaluation Scale (TRADES) is comprised of a subscale to account for the attributes that compromise the efficacy of treatment (B subscale). One hundred and six participants aged 18 to 65 years with remitted major depressive disorder were enrolled. Eligible cases were those with at least 2 years from disease onset until the scoring date of the TRADES (the index date), with a complete treatment record. Various psychosocial and clinical features, such as neuroticism, harm avoidance, and utilization of psychiatric services, were used to validate the TRADES.

Results

The mean duration of the course before and after the index date were 5.5 ± 3.5 and 3.1 ± 1.7 years, respectively. In a multiple regression analysis, the final total scores of the TRADES independently correlated with higher levels of neuroticism and harm avoidance. Total scores were also associated with a higher utilization of psychiatric outpatient and admission services before the index date. Furthermore, it is thought that total scores could predict a higher number of visits to psychiatric outpatient, emergency, and admission services following the index date.

Conclusions

The TRADES has acceptable validity and could help to quantify the level of treatment difficulty with antidepressants in major depressive disorder.

Klíčová slova:

Antidepressants – Critical care and emergency medicine – Depression – Outpatients – Personality tests – Personality traits – Psychological and psychosocial issues – Psychotherapy


Zdroje

1. Liao SC, Chen WJ, Lee MB, Lung FW, Lai TJ, Liu CY, et al. Low prevalence of major depressive disorder in Taiwanese adults: possible explanations and implications. Psychol Med. 2012;42(6):1227–37. Epub 2011/11/05. doi: 10.1017/S0033291711002364 22051196.

2. Rush AJ, Trivedi MH, Wisniewski SR, Nierenberg AA, Stewart JW, Warden D, et al. Acute and longer-term outcomes in depressed outpatients requiring one or several treatment steps: a STAR*D report. Am J Psychiatry. 2006;163(11):1905–17. Epub 2006/11/01. doi: 10.1176/ajp.2006.163.11.1905 17074942.

3. Stahl SM. Stahl's essential psychopharmacology: neuroscientific basis and practical applications: Cambridge university press; 2013.

4. Souery D, Pitchot W, Kasper S, Montgomery S. Definitions and Predictors of Treatment-resistant Depression. Treatment-resistant Depression. UK: John Wiley & Sons; 2013. p. 1–20.

5. Niitsu T, Fabbri C, Bentini F, Serretti A. Pharmacogenetics in major depression: A comprehensive meta-analysis. Prog Neuropsychopharmacol Biol Psychiatry. 2013;45:183–94. doi: 10.1016/j.pnpbp.2013.05.011 23733030

6. Hasler G, Northoff G. Discovering imaging endophenotypes for major depression. Mol Psychiatry. 2011;16(6):604–19. Epub 2011/05/24. doi: 10.1038/mp.2011.23 21602829.

7. Gottesman II, Gould TD. The endophenotype concept in psychiatry: etymology and strategic intentions. Am J Psychiatry. 2003;160(4):636–45. Epub 2003/04/02. doi: 10.1176/appi.ajp.160.4.636 12668349.

8. Fava M. Diagnosis and definition of treatment-resistant depression. Biol Psychiatry. 2003;53(8):649–59. Epub 2003/04/23. doi: 10.1016/s0006-3223(03)00231-2 12706951.

9. Thase ME, Rush AJ. When at first you don't succeed: sequential strategies for antidepressant nonresponders. J Clin Psychiatry. 1997;58 Suppl 13:23–9. Epub 1997/01/01. 9402916.

10. Souery D, Amsterdam J, de Montigny C, Lecrubier Y, Montgomery S, Lipp O, et al. Treatment resistant depression: methodological overview and operational criteria. Eur Neuropsychopharmacol. 1999;9(1–2):83–91. Epub 1999/03/19. doi: 10.1016/s0924-977x(98)00004-2 10082232.

11. Fekadu A, Wooderson S, Donaldson C, Markopoulou K, Masterson B, Poon L, et al. A multidimensional tool to quantify treatment resistance in depression: the Maudsley staging method. J Clin Psychiatry. 2009;70(2):177–84. Epub 2009/02/05. doi: 10.4088/jcp.08m04309 19192471.

12. Fekadu A, Wooderson SC, Markopoulou K, Cleare AJ. The Maudsley Staging Method for treatment-resistant depression: prediction of longer-term outcome and persistence of symptoms. J Clin Psychiatry. 2009;70(7):952–7. doi: 10.4088/JCP.08m04728 19457299.

13. Wang Y-C, Lin H-T, Lu M-L, Huang M-C, Chen C-H, Wu T-H, et al. The Association Between the Sedative Loads and Clinical Severity Indicators in the First-Onset Major Depressive Disorder. Frontiers in Psychiatry. 2019;10(129). doi: 10.3389/fpsyt.2019.00129 30936841

14. Burcusa SL, Iacono WG. Risk for Recurrence in Depression. Clin Psychol Rev. 2007;27(8):959–85. doi: 10.1016/j.cpr.2007.02.005 PubMed PMID: PMC2169519. 17448579

15. Paykel ES. Continuation and maintenance therapy in depression. Br Med Bull. 2001;57(1):145–59. doi: 10.1093/bmb/57.1.145 11719914

16. Association AP. Diagnostic and statistical manual of mental disorders, 4th ed., text rev.: American Psychiatric Association; 2000.

17. Wright JG, Feinstein AR. A comparative contrast of clinimetric and psychometric methods for constructing indexes and rating scales. J Clin Epidemiol. 1992;45(11):1201–18. doi: 10.1016/0895-4356(92)90161-f 1432001.

18. Gibson TB, Jing Y, Smith Carls G, Kim E, Bagalman JE, Burton WN, et al. Cost burden of treatment resistance in patients with depression. Am J Manag Care. 2010;16(5):370–7. Epub 2010/05/18. 20469957.

19. Klein DN, Kotov R, Bufferd SJ. Personality and depression: explanatory models and review of the evidence. Annu Rev Clin Psychol. 2011;7:269–95. Epub 2010/12/21. doi: 10.1146/annurev-clinpsy-032210-104540 21166535; PubMed Central PMCID: PMC3518491.

20. Eysenck SBG, Eysenck HJ, Barrett P. A revised version of the psychoticism scale. Pers Individ Dif. 1985;6(1):21–9. doi: http://dx.doi.org/10.1016/0191-8869(85)90026-1.

21. Cloninger CR. A systematic method for clinical description and classification of personality variants. A proposal. Arch Gen Psychiatry. 1987;44(6):573–88. Epub 1987/06/01. doi: 10.1001/archpsyc.1987.01800180093014 3579504.

22. Chen WJ, Chen HM, Chen CC, Chen CC, Yu WY, Cheng AT. Cloninger's Tridimensional Personality Questionnaire: psychometric properties and construct validity in Taiwanese adults. Compr Psychiatry. 2002;43(2):158–66. Epub 2002/03/15. doi: 10.1053/comp.2002.30797 11893995.

23. Zimet GD, Powell SS, Farley GK, Werkman S, Berkoff KA. Psychometric characteristics of the Multidimensional Scale of Perceived Social Support. J Pers Assess. 1990;55(3–4):610–7. doi: 10.1080/00223891.1990.9674095 2280326.

24. Zimet GD, Dahlem NW, Zimet SG, Farley GK. The Multidimensional Scale of Perceived Social Support. J Pers Assess. 1988;52(1):30–41. doi: 10.1207/s15327752jpa5201_2

25. Hair JF, Black WC, Babin BJ, Anderson RE, Tatham RL. Multivariate data analysis 6th Edition. New Jersey: Pearson Prentice Hall; 2006. 49–74 p.

26. Cerny BA, Kaiser HF. A Study Of A Measure Of Sampling Adequacy For Factor-Analytic Correlation Matrices. Multivariate Behavioral Research. 1977;12(1):43–7. Epub 1977/01/01. doi: 10.1207/s15327906mbr1201_3 26804143.

27. Kupfer DJ. Long-term treatment of depression. J Clin Psychiatry. 1991;52 Suppl:28–34. Epub 1991/05/01. 1903134.

28. Hou L, Heilbronner U, Degenhardt F, Adli M, Akiyama K, Akula N, et al. Genetic variants associated with response to lithium treatment in bipolar disorder: a genome-wide association study. Lancet. 2016;387(10023):1085–93. doi: 10.1016/S0140-6736(16)00143-4 26806518; PubMed Central PMCID: PMC4814312.

29. Souery D, Oswald P, Massat I, Bailer U, Bollen J, Demyttenaere K, et al. Clinical factors associated with treatment resistance in major depressive disorder: results from a European multicenter study. J Clin Psychiatry. 2007;68(7):1062–70. Epub 2007/08/10. doi: 10.4088/jcp.v68n0713 17685743.


Článek vyšel v časopise

PLOS One


2020 Číslo 1