Association of Treatment-Resistant Depression With Patient Outcomes and Health Care Resource Utilization in a Population-Wide Study

Johan Lundberg, Thomas Cars, Sven-Åke Lööv, Jonas Söderling, Johan Sundström, Jari Tiihonen, Amy Leval, Anna Gannedahl, Carl Björkholm, Mikael Själin, Clara Hellner, Johan Lundberg, Thomas Cars, Sven-Åke Lööv, Jonas Söderling, Johan Sundström, Jari Tiihonen, Amy Leval, Anna Gannedahl, Carl Björkholm, Mikael Själin, Clara Hellner

Abstract

Importance: The totality of the societal and individual impact of treatment-resistant depression (TRD) is unknown, as is the potential to prognosticate TRD. The generalizability of many observational studies on TRD is limited.

Objective: To estimate the burden of TRD in a large population-wide cohort in an area with universal health care by including data from both health care types (psychiatric and nonpsychiatric) and, further, to develop a prognostic model for clinical use.

Design, setting, and participants: This cohort study, a population-based observational study, assessed data from the Stockholm MDD Cohort for episodes of major depressive disorder (MDD) between 2010 and 2017 that fulfilled predefined criteria for TRD (≥3 consecutive antidepressant treatments). Data analysis was performed from August 2020 to May 2022.

Main outcomes and measures: Outcomes were psychiatric and nonpsychiatric comorbid conditions, antidepressant treatments, health care resource utilization, lost workdays, all-cause mortality, and intentional self-harm and, in the prognostic model, TRD.

Results: A total of 158 169 unipolar MDD episodes (in 145 577 patients) were identified between January 1, 2012, and December 31, 2017 (64.7% women; median [IQR] age, 42 years [30-56]). Of these, 12 793 episodes (11%) fulfilled criteria for TRD. The median (IQR) time from the start of MDD episode to TRD was 552 days (294-932). Selective serotonin reuptake inhibitor was the most common class of antidepressant treatment in all treatment steps, and 5907 patients (46.2%) received psychotherapy at some point before initiation of the third pharmacological antidepressant treatment. Compared with matched non-TRD episodes, TRD episodes had more inpatient bed-days (mean, 3.9 days; 95% CI, 3.6-4.1, vs 1.3 days; 95% CI, 1.2-1.4) and more lost workdays (mean, 132.3 days; 95% CI, 129.5-135.1, vs 58.7 days; 95% CI, 56.8-60.6) 12 months after the index date. Anxiety, stress, sleep disorder, and substance use disorder were all more common comorbid conditions in TRD episodes. Intentional self-harm was more than 4 times more common in TRD episodes. The all-cause mortality rate for patients with MDD with TRD episodes was 10.7/1000 person-years at risk, compared with 8.7/1000 person-years at risk for patients with MDD without TRD episodes (hazard ratio, 1.23; 95% CI, 1.07-1.41). Median time from start of the first antidepressant treatment to start of the second, and from start of the second antidepressant treatment to start of the third, was 165 and 197 days, respectively. The severity of MDD, defined using the self-rating Montgomery-Åsberg Depression Rating Scale (MADRS-S) at time of MDD diagnosis, was found to be the most important prognostic factor for TRD (C index = 0.69).

Conclusions and relevance: In this cohort study, TRD was a common variant of MDD when including patients from both health care types, which is associated with a high disease burden for both patients and society. The median time between initiation of new antidepressant treatments was longer than recommended in current treatment guidelines, suggesting room for more structured and timely depression care.

Conflict of interest statement

Conflict of Interest Disclosures: Dr Cars reported being an employee of and shareholder in Sence Research during the conduct of the study. Dr Sundström reported being a shareholder in Sence Research during the conduct of the study. Dr Tiihonen reported grants paid to his institution from Janssen-Cilag during the conduct of the study; grants paid to his institution from Eli Lilly and Janssen-Cilag outside the submitted work; and personal fees from Eli Lilly, Evidera, HLS Therapeutics, Janssen-Cilag, Lundbeck, Mediuutiset, Otsuka, Sidera, and Sunovion outside the submitted work. Dr Leval reported being a shareholder in Johnson and Johnson outside the submitted work. No other disclosures were reported.

Figures

Figure 1.. Time Between Initiation of New…
Figure 1.. Time Between Initiation of New Antidepressant Treatment (AT) Among Patients With Episodes of Treatment-Resistant Depression (TRD)
Figure 2.. Cumulative Probability of All-Cause Mortality…
Figure 2.. Cumulative Probability of All-Cause Mortality and Intentional Self-harm for Treatment-Resistant Depression (TRD) Episodes Compared With Matched Non-TRD Episodes
The index date for TRD episodes is the date when the major depressive disorder episode fulfills TRD criteria. Non-TRD episodes were given the same index date as the matched TRD episode.
Figure 3.. Sequence of Antidepressant Treatments Until…
Figure 3.. Sequence of Antidepressant Treatments Until Fulfillment of Treatment-Resistant Depression Criteria
This alluvial plot presents the treatment sequence from the first to third trials of antidepressant treatment. According to the predefined criteria for treatment-resistant depression, each treatment trial is recorded within the depressive episode; that is, treatments initiated before the start of the depressive episode are not counted as a valid treatment trial because they may have been prescribed for a psychiatric condition other than depression. Codes for each group are listed in eTable 3 in the Supplement. Add-on indicates add-on medication; ECT, electroconvulsive therapy; NaSSA, noradrenergic and specific serotonergic antidepressant; NDRI, norepinephrine–dopamine reuptake inhibitor; rTMS, repetitive transcranial magnetic stimulation; SNRI, serotonin and norepinephrine reuptake inhibitor; SSRI selective serotonin reuptake inhibitor; TCA, tricyclic antidepressant.

References

    1. James SL, Abate D, Abate KH, et al. ; GBD 2017 Disease and Injury Incidence and Prevalence Collaborators . Global, regional, and national incidence, prevalence, and years lived with disability for 354 diseases and injuries for 195 countries and territories, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet. 2018;392(10159):1789-1858. doi:10.1016/S0140-6736(18)32279-7
    1. Kraepelin E. Manic-depressive insanity and paranoia. J Ment Sci. 1921;67(278):342-346. doi:10.1192/bjp.67.278.342
    1. Murphy JA, Sarris J, Byrne GJ. A review of the conceptualisation and risk factors associated with treatment-resistant depression. Depress Res Treat. 2017;2017:4176825. doi:10.1155/2017/4176825
    1. Brown S, Rittenbach K, Cheung S, McKean G, MacMaster FP, Clement F. Current and common definitions of treatment-resistant depression: findings from a systematic review and qualitative interviews. Can J Psychiatry. 2019;64(6):380-387. doi:10.1177/0706743719828965
    1. Rush AJ, Warden D, Wisniewski SR, et al. . STAR*D: revising conventional wisdom. CNS Drugs. 2009;23(8):627-647. doi:10.2165/00023210-200923080-00001
    1. Brenner P, Reutfors J, Nijs M, Andersson TML. Excess deaths in treatment-resistant depression. Ther Adv Psychopharmacol. 2021;11:20451253211006508. doi:10.1177/20451253211006508
    1. Gibson TB, Jing Y, Smith Carls G, et al. . Cost burden of treatment resistance in patients with depression. Am J Manag Care. 2010;16(5):370-377.
    1. Ivanova JI, Birnbaum HG, Kidolezi Y, Subramanian G, Khan SA, Stensland MD. Direct and indirect costs of employees with treatment-resistant and non-treatment-resistant major depressive disorder. Curr Med Res Opin. 2010;26(10):2475-2484. doi:10.1185/03007995.2010.517716
    1. Reutfors J, Andersson TML, Brenner P, et al. . Mortality in treatment-resistant unipolar depression: a register-based cohort study in Sweden. J Affect Disord. 2018;238:674-679. doi:10.1016/j.jad.2018.06.030
    1. Papakostas GI, Fava M. Predictors, moderators, and mediators (correlates) of treatment outcome in major depressive disorder. Dialogues Clin Neurosci. 2008;10(4):439-451. doi:10.31887/DCNS.2008.10.4/gipapakostas
    1. Tylee A, Jones R. Managing depression in primary care. BMJ. 2005;330(7495):800-801. doi:10.1136/bmj.330.7495.800
    1. Harman JS, Veazie PJ, Lyness JM. Primary care physician office visits for depression by older Americans. J Gen Intern Med. 2006;21(9):926-930. doi:10.1007/BF02743139
    1. Ludvigsson JF, Otterblad-Olausson P, Pettersson BU, Ekbom A. The Swedish personal identity number: possibilities and pitfalls in healthcare and medical research. Eur J Epidemiol. 2009;24(11):659-667. doi:10.1007/s10654-009-9350-y
    1. Anell A. The public-private pendulum: patient choice and equity in Sweden. N Engl J Med. 2015;372(1):1-4. doi:10.1056/NEJMp1411430
    1. Lundberg J, Cars T, Lööv SÅ, et al. . Clinical and societal burden of incident major depressive disorder: a population-wide cohort study in Stockholm. Acta Psychiatr Scand. 2022;146(1):51-63. doi:10.1111/acps.13414
    1. European Network of Centres for Pharmacoepidemiology and Pharmacovigilance . Accessed October 20, 2022.
    1. Dahlén E, Komen J, Jonsson EW, Almqvist C, Kull I, Wettermark B. Eliminated patient fee and changes in dispensing patterns of asthma medication in children: an interrupted time series analysis. Basic Clin Pharmacol Toxicol. 2019;125(4):360-369. doi:10.1111/bcpt.13268
    1. Cepeda MS, Reps J, Ryan P. Finding factors that predict treatment-resistant depression: results of a cohort study. Depress Anxiety. 2018;35(7):668-673. doi:10.1002/da.22774
    1. Kautzky A, Dold M, Bartova L, et al. . Clinical factors predicting treatment resistant depression: affirmative results from the European multicenter study. Acta Psychiatr Scand. 2019;139(1):78-88. doi:10.1111/acps.12959
    1. Liberman JN, Davis T, Pesa J, et al. . Predicting incident treatment-resistant depression: a model designed for health systems of care. J Manag Care Spec Pharm. 2020;26(8):987-995. doi:10.18553/jmcp.2020.26.8.987
    1. Cunningham JL, Wernroth L, von Knorring L, Berglund L, Ekselius L. Agreement between physicians’ and patients’ ratings on the Montgomery-Åsberg Depression Rating Scale. J Affect Disord. 2011;135(1-3):148-153. doi:10.1016/j.jad.2011.07.005
    1. Madley-Dowd P, Hughes R, Tilling K, Heron J. The proportion of missing data should not be used to guide decisions on multiple imputation. J Clin Epidemiol. 2019;110:63-73. doi:10.1016/j.jclinepi.2019.02.016
    1. Royston P, White I. Multiple imputation by chained equations (MICE): implementation in Stata. J Stat Softw. 2011;45(4). doi:10.18637/jss.v045.i04
    1. Kubitz N, Mehra M, Potluri RC, Garg N, Cossrow N. Characterization of treatment resistant depression episodes in a cohort of patients from a US commercial claims database. PLoS One. 2013;8(10):e76882. doi:10.1371/journal.pone.0076882
    1. Rush AJ, Trivedi MH, Wisniewski SR, 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):1905-1917. doi:10.1176/ajp.2006.163.11.1905
    1. Gronemann FH, Petersen J, Alulis S, et al. . Treatment patterns in patients with treatment-resistant depression in Danish patients with major depressive disorder. J Affect Disord. 2021;287:204-213. doi:10.1016/j.jad.2021.03.029
    1. Region Stockholm . Depression [in Swedish]. Accessed September 6, 2022.
    1. Huang SS, Chen HH, Wang J, Chen WJ, Chen HC, Kuo PH. Investigation of early and lifetime clinical features and comorbidities for the risk of developing treatment-resistant depression in a 13-year nationwide cohort study. BMC Psychiatry. 2020;20(1):541. doi:10.1186/s12888-020-02935-z
    1. Lisinski A, Hieronymus F, Eriksson E, Wallerstedt SM. Low SSRI dosing in clinical practice: a register-based longitudinal study. Acta Psychiatr Scand. 2021;143(5):434-443. doi:10.1111/acps.13275
    1. Heerlein K, Perugi G, Otte C, et al. . Real-world evidence from a European cohort study of patients with treatment resistant depression: treatment patterns and clinical outcomes. J Affect Disord. 2021;290:334-344. doi:10.1016/j.jad.2021.03.073
    1. Szegedi A, Jansen WT, van Willigenburg APP, van der Meulen E, Stassen HH, Thase ME. Early improvement in the first 2 weeks as a predictor of treatment outcome in patients with major depressive disorder: a meta-analysis including 6562 patients. J Clin Psychiatry. 2009;70(3):344-353. doi:10.4088/JCP.07m03780
    1. Li G, Fife D, Wang G, et al. . All-cause mortality in patients with treatment-resistant depression: a cohort study in the US population. Ann Gen Psychiatry. 2019;18:23. doi:10.1186/s12991-019-0248-0
    1. Madsen KB, Plana-Ripoll O, Musliner KL, Debost JCP, Petersen LV, Munk-Olsen T. Cause-specific life years lost in individuals with treatment-resistant depression: a Danish nationwide register-based cohort study. J Affect Disord. 2021;280(pt A):250-257. doi:10.1016/j.jad.2020.11.042
    1. Fabbri C, Hagenaars SP, John C, et al. . Genetic and clinical characteristics of treatment-resistant depression using primary care records in two UK cohorts. Mol Psychiatry. 2021;26(7):3363-3373. doi:10.1038/s41380-021-01062-9
    1. Amos TB, Tandon N, Lefebvre P, et al. . Direct and indirect cost burden and change of employment status in treatment-resistant depression: a matched-cohort study using a US commercial claims database. J Clin Psychiatry. 2018;79(2):17m11725. doi:10.4088/JCP.17m11725
    1. Taipale H, Reutfors J, Tanskanen A, et al. . Risk and risk factors for disability pension among patients with treatment resistant depression: a matched cohort study. BMC Psychiatry. 2020;20(1):232. doi:10.1186/s12888-020-02642-9
    1. McAllister-Williams RH, Arango C, Blier P, et al. . The identification, assessment and management of difficult-to-treat depression: an international consensus statement. J Affect Disord. 2020;267:264-282. doi:10.1016/j.jad.2020.02.023
    1. Markowitz JC, Wright JH, Peeters F, Thase ME, Kocsis JH, Sudak DM. The neglected role of psychotherapy for treatment-resistant depression. Am J Psychiatry. 2022;179(2):90-93. doi:10.1176/appi.ajp.2021.21050535
    1. Li H, Cui L, Li J, Liu Y, Chen Y. Comparative efficacy and acceptability of neuromodulation procedures in the treatment of treatment-resistant depression: a network meta-analysis of randomized controlled trials. J Affect Disord. 2021;287:115-124. doi:10.1016/j.jad.2021.03.019
    1. Guo T, Xiang YT, Xiao L, et al. . Measurement-based care versus standard care for major depression: a randomized controlled trial with blind raters. Am J Psychiatry. 2015;172(10):1004-1013. doi:10.1176/appi.ajp.2015.14050652
    1. Trivedi MH, Rush AJ, Gaynes BN, et al. . Maximizing the adequacy of medication treatment in controlled trials and clinical practice: STAR(*)D measurement-based care. Neuropsychopharmacology. 2007;32(12):2479-2489. doi:10.1038/sj.npp.1301390
    1. Souery D, Oswald P, Massat I, et al. ; Group for the Study of Resistant Depression . Clinical factors associated with treatment resistance in major depressive disorder: results from a European multicenter study. J Clin Psychiatry. 2007;68(7):1062-1070. doi:10.4088/JCP.v68n0713
    1. Ekman M, Granström O, Omérov S, Jacob J, Landén M. The societal cost of depression: evidence from 10,000 Swedish patients in psychiatric care. J Affect Disord. 2013;150(3):790-797. doi:10.1016/j.jad.2013.03.003
    1. von Knorring L, Akerblad AC, Bengtsson F, Carlsson A, Ekselius L. Cost of depression: effect of adherence and treatment response. Eur Psychiatry. 2006;21(6):349-354. doi:10.1016/j.eurpsy.2006.04.005

Source: PubMed

3
Subscribe