ﺑﺎﺯﮔﺸﺖ ﺑﻪ ﺻﻔﺤﻪ ﻗﺒﻠﯽ
خرید پکیج
تعداد آیتم قابل مشاهده باقیمانده : 3 مورد
نسخه الکترونیک
medimedia.ir

Unipolar treatment-resistant depression in adults: Epidemiology, risk factors, assessment, and prognosis

Unipolar treatment-resistant depression in adults: Epidemiology, risk factors, assessment, and prognosis
Literature review current through: Jan 2024.
This topic last updated: Jan 11, 2023.

INTRODUCTION — Many patients presenting with unipolar major depression (major depressive disorder) do not recover after their initial treatment. As an example, one prospective observational study found that among 3671 outpatients who were treated with citalopram, remission occurred in 37 percent [1]. In addition, patients who fail their initial treatment often do not respond to subsequent trials, and health care utilization and costs are higher among patients with treatment-resistant depression than for patients with either no depression or nonresistant depression [2,3]. The course of illness in treatment-resistant depression is thus frequently marked by chronic depression, impaired psychosocial functioning, poor overall general health, and increased all-cause mortality [4,5].

This topic reviews the epidemiology, risk factors, assessment, identification, and prognosis of treatment-resistant depression. The treatment of resistant depression, the initial treatment of depression, and the clinical features and diagnosis of depression are each discussed separately.

(See "Unipolar depression in adults: Choosing treatment for resistant depression".)

(See "Unipolar major depression in adults: Choosing initial treatment".)

(See "Unipolar depression in adults: Clinical features".)

(See "Unipolar depression in adults: Assessment and diagnosis".)

DEFINITIONS

Unipolar major depression — Unipolar major depression (major depressive disorder) is diagnosed in patients who have suffered at least one major depressive episode and have no history of mania or hypomania [6]. A major depressive episode is a period lasting at least two weeks, with five or more of the following symptoms: depressed mood, anhedonia, insomnia or hypersomnia, change in appetite or weight, psychomotor retardation or agitation, low energy, poor concentration, thoughts of worthlessness or guilt, and recurrent thoughts about death or suicide (table 1). Additional information about the clinical presentation and diagnosis of major depressive disorder is discussed separately. (See "Unipolar depression in adults: Assessment and diagnosis".)

Treatment-resistant depression — The term “treatment-resistant depression” typically refers to major depressive episodes that do not respond satisfactorily after two trials of antidepressant monotherapy; however, the definition has not been standardized [7-9]. Evidence that supports a categorical definition based upon two treatment failures includes results from the Sequenced Treatment Alternatives to Relieve Depression (STAR*D) study, which prospectively administered up to four sequential trials of pharmacotherapy to 3671 patients who presented with unipolar major depression [1,10,11]. The rate of remission appeared to be comparable for the initial and second-course of treatment (37 and 31 percent), and then to decline more substantially for the third and fourth steps of treatment (14 and 13 percent).

However, it is not established that there is a natural cut-off or distinction between patients who fail one or two courses of treatment and patients who do not [12]. Some studies thus conceptualize treatment resistance as a continuum and have devised staging systems based upon the number and types of treatments that failed to resolve the depressive episode. (See 'Staging' below.)

The term “difficult to treat” depression has also been used to describe patients who do not respond sufficiently to antidepressants [13]. In addition, “pseudoresistance” has been used to describe treatment failures due to an inadequate dose or duration of pharmacotherapy, or nonadherence to treatment [14,15].

Defining treatment-resistant depression is also complicated by the lack of consensus in describing acute antidepressant responses [16]. In many studies, response is classified according to the amount of improvement from baseline on the depression rating scale [17-22]:

No response – Improvement <25 percent.

Partial response – Improvement 25 to 49 percent.

Response – Improvement ≥50 percent but less than the threshold for remission.

Remission – Depression rating scale score less than or equal to a specific cutoff that defines the normal range. As an example, studies using the 17-item Hamilton Rating Scale for Depression (table 2) or the Montgomery-Asberg Depression Rating Scale (figure 1A-C) often define remission as a score ≤7.

EPIDEMIOLOGY — The prevalence of unipolar treatment-resistant major depression is not clear due to the lack of a standard definition. Across different studies of patients with unipolar major depression who receive initial treatment, the prevalence of treatment resistance ranges from approximately 30 to 70 percent:

The Sequenced Treatment Alternatives to Relieve Depression (STAR*D) study, which initially treated 3671 outpatients (most had recurrent or chronic depression, as well as multiple comorbid medical and psychiatric illnesses) for up to 14 weeks with full doses of citalopram, found that remission did not occur in 63 percent [23]. Among the 1439 patients who received next-step treatment, remission did not occur in 69 percent [1].

A pooled analysis of 31 randomized antidepressant trials (1712 patients; length of trial was 6 weeks in 22 trials) found that response (reduction of baseline symptoms ≥50 percent) did not occur in 46 percent [24].

A pooled analysis of four similarly designed health care claims studies estimated that the 12-month prevalence of unipolar major depression was 31 percent treatment-resistant depression [25].

Risk factors — Unipolar treatment-resistant major depression has been associated with many factors, including:

Comorbid general medical disorders [7,26,27] (eg, coronary heart disease [28] and hypothyroidism [29])

Chronic pain [30,31]

Medications (eg, glucocorticoids and interferons) [32,33]

Comorbid psychiatric disorders (eg, anxiety, personality, and substance use disorders) [9,31,32,34,35]

Severe intensity of depressive symptoms [31,34-36]

Suicidal thoughts and behavior [9,34-37]

Adverse life events (eg, childhood trauma or marital discord) [38-46]

Personality traits (eg, low reward-dependence, low extraversion, and high neuroticism) [47,48]

Early age of onset of major depression (eg, age <18 years) [30,34,49]

Recurrent depressive episodes [30,34,35,49]

Loss of employment and low socioeconomic status [50-52]

Studies have found that the association of other factors with treatment resistance is inconsistent and thus less clinically useful. As an example, subsyndromal manic/hypomanic symptoms that do not meet criteria for hypomania are associated with treatment-resistant depression in some studies [53], but not others [54].

PATHOGENESIS — The pathogenesis of treatment-resistant depression is not known.

Genetics — Genetic factors may affect response to antidepressants by influencing drug distribution and metabolism, serum and brain drug concentrations, and target molecules [9,55]. Examples of pharmacogenetic effects include the following:

Cytochrome P450 enzymes are responsible for the metabolism of many antidepressants, and allelic variations in the 2D6 and 2C19 isoenzymes have been associated with variations in serum concentrations of antidepressants (eg, selective serotonin reuptake inhibitors and tricyclics) [55,56]. These variations may possibly influence clinical responses, and laboratory kits are available to characterize P450 isoenzyme profiles. However, the clinical utility of such testing remains unclear because the limited evidence suggests that the predictive value of testing is modest at best [57,58].

In preclinical studies, expression of P-glycoprotein (a major constituent of the blood-brain barrier) was associated with differences in brain concentrations of several antidepressants [59,60].

Polymorphisms in the genes that code for drug targets such as the serotonin transporter [61], 5HT2A receptor [62], 5HT1A receptor [63], N-methyl-D-aspartate receptor (GRIN2B) [64], and brain-derived neurotrophic factor [65] have been have been linked to antidepressant nonresponse. As an example, a meta-analysis of seven studies (745 depressed patients treated with selective serotonin reuptake inhibitors) found that remission was less likely in patients with the short allelic variant of the serotonin transporter gene (odds ratio 0.5, 95% CI 0.3-0.7) [66]. However, subsequent studies indicate that serotonin transporter polymorphisms have at most a limited role in determining response to treatment [67,68].

Genetic factors involved in pathophysiologic processes may also be related to treatment resistance. A study of 74 patients with unipolar major depression who were treated with antidepressants found that nonresponse was associated with higher baseline expression of inflammatory system genes [69].

An overview of how inherited and acquired genetic factors influence drug response is discussed separately. (See "Overview of pharmacogenomics".)

Neurobiology — Functional magnetic resonance imaging and positron emission tomography have found that treatment resistance in patients with unipolar major depression is associated with functional abnormalities in specific brain regions and neural networks, including the:

Prefrontal cortex [70]

Subcallosal cingulate gyrus [71]

Cortical-thalamic circuits [72]

Cortical-limbic-cerebellar white matter networks [73]

Magnetic resonance imaging studies have also identified structural abnormalities in treatment-resistant depression, including:

Decreased volume of frontal, temporal, and limbic gray matter structures [74]

Decreased gray matter volume of the putamen [75]

Microstructural white matter abnormalities [76]

Inflammatory or autoimmune processes are also associated with treatment resistance. In a six-year, prospective study of 581 patients with unipolar major depression, blood methylation markers assayed at baseline predicted a treatment-resistant course of illness [77]. Other studies have found that treatment-resistant depression was associated with elevations in specific markers of inflammation, including C-reactive protein, tumor necrosis factor, interleukin 1, and interleukin 6 [78].

In addition, a small, prospective observational study (n = 33 patients with treatment-resistant depression) identified cerebral spinal fluid metabolic abnormalities in most patients; the most common was cerebral folate deficiency (n = 12 patients) despite normal serum folate levels [79].

Information about the neurobiology of unipolar depression in the general populations of depressed patients is discussed separately. (See "Unipolar depression: Neurobiology".)

ASSESSMENT AND IDENTIFICATION — The psychiatric evaluation of patients with unipolar major depression who are treatment resistant should assess [32,80,81]:

Diagnosis – The diagnosis of unipolar major depression should be confirmed, and other diagnoses such as bipolar depression or dysthymic disorder ruled out because of differences in treatment. In addition, clinicians should ask about psychotic features (ie, delusions and hallucinations) as well as suicidal ideation and behavior. (See "Unipolar depression in adults: Assessment and diagnosis" and "Bipolar disorder in adults: Assessment and diagnosis", section on 'Diagnosis' and "Unipolar major depression with psychotic features: Epidemiology, clinical features, assessment, and diagnosis" and "Suicidal ideation and behavior in adults", section on 'Patient evaluation'.)

Medication history – Glucocorticoids and interferons are associated with depressive symptoms. (See "Unipolar depression: Pathogenesis", section on 'Medications'.)

Comorbid psychiatric disorders – Comorbid anxiety, substance use, or personality disorders may warrant additional treatment.

Prior treatment history – Type, dose, duration, benefit, and harm of each prior treatment. Family members may recall specific therapies that patients have forgotten. In addition, adherence to antidepressants should be evaluated with nonjudgmental questions such as: "Many patients forget to take their medication on a regular basis. How often does that happen to you?" Patients with side effects may be especially prone to nonadherence.

The treatment history for patients with major depression who may be treatment resistant is typically assessed through a clinical interview (table 3) [82], as well as a review of the medical record, which may provide more accurate information. The accuracy of patient recall is not clear, in light of conflicting results from retrospective observational studies:

In one study, 73 patients with major depression were interviewed about their treatment history for the past five years by a psychiatrist, who was blind to the actual history that was collected by an independent chart review [83]. Among the 104 monotherapy trials that had occurred, patients recalled 82 percent. In addition, 94 percent of adequate (dose and duration) trials were correctly reported as such, and 90 percent of inadequate trials were correctly reported as inadequate. The presence of depressive symptoms did not adversely affect patient recall of past regimens. However, among the 46 augmentation trials that had occurred, patients recalled only 26 percent.

In a second study, 269 patients completed surveys about their treatment during the past five years; results were checked against medical records that included baseline and follow-up Patient Health Questionnaire (PHQ-9) (table 4) scores [84]. Agreement between patient recall and the medical records was poor. As an example, among 77 patients who reported that a specific treatment either was not beneficial or was harmful, response (reduction of baseline symptoms ≥50 percent) occurred in 58 percent. Accuracy of recall was not improved by limiting the sample to patients reporting high confidence in accuracy of recall.

Instruments — Although treatment resistance in unipolar major depression can be assessed with various instruments rather than a clinical interview [14,34,85,86], this is not standard practice and it is not known whether these instruments improve treatment outcomes.

For clinicians who want to systematically assess treatment resistance beyond a review of the medical record, we suggest the Antidepressant Treatment History Form: Short Form [87]. This clinician-administered instrument characterizes features of past treatment trials, including adequacy, duration, adherence, and clinical outcome, and distinguishes various treatment domains, such as pharmacotherapy, psychotherapy, and neuromodulation procedures (eg, electroconvulsive therapy and transcranial magnetic stimulation).

Staging — The prior treatment history in patients with treatment-resistant depression can be staged along a continuum, according to the number and types of treatments that failed to resolve the depressive episode. However, there is no evidence that staging treatment resistance improves outcomes. In addition, staging is often regarded as cumbersome for standard practice and is thus reserved for specialized treatment or research settings. Multiple staging models have been proposed [11,88-92], and although studies are beginning to validate different models (eg, Maudsley Staging Method) [93], it is not clear that one model is superior [94].

PROGNOSIS — Although remission of unipolar major depression frequently does not occur after initial treatment, approximately 67 percent of patients eventually remit after one or more next step treatment trials [95]:

In the Sequenced Treatment Alternatives to Relieve Depression (STAR*D) study, 3671 outpatients were prospectively treated with full doses of citalopram; nonresponders received up to three successive courses of treatment within a randomized trial, with each course lasting up to 14 weeks [1]. The treatments that were offered included monotherapy with different antidepressants or cognitive-behavioral therapy (CBT), an antidepressant combination, and augmentation of the antidepressant with other drugs (eg, lithium or triiodothyronine) or CBT. The estimated cumulative remission rate over the four courses of treatment was 67 percent.

A study of 171 patients who were treated with up to three successive, randomized antidepressant monotherapy trials found that the cumulative remission rate was 66 percent [96].

However, the probability of remission in treatment-resistant depression may decrease with successive treatment failures [97], and patients who fail to remit after several successive treatment trials have a relatively low probability of remitting with additional treatment trials [93]. As an example, the STAR*D study found that the rate of remission after each treatment step was as follows [1]:

Initial treatment – 37 percent

Step 2 – 31 percent

Step 3 – 14 percent

Step 4 – 13 percent

In addition, an observational study of patients with unipolar major depression (n = 417) who did not respond to initial treatment with an antidepressant found that step 2 treatment with venlafaxine led to remission in 20 percent; among patients who did not respond to venlafaxine (n = 170), step 3 treatment with escitalopram led to remission in 23 percent [98]. Likewise, a pooled analysis of nine studies, which evaluated pharmacotherapy, transcranial magnetic stimulation, or deep brain stimulation in treatment-resistant depression, found that remission occurred in 20 percent of patients [99].

Patients with treatment-resistant depression often withdraw from treatment after each unsuccessful next-step treatment. In the STAR*D study, discontinuation of treatment for any reason during each treatment step was as follows [1]:

Initial treatment – 16 percent

Step 2 – 20 percent

Step 3 – 26 percent

Step 4 – 30 percent

For treatment-resistant depression, response to next step treatments may be worse in patients with anxious depression, that is, major depression accompanied by high levels of anxiety symptoms (eg, worrying, rumination, health anxieties, and panic attacks) [100,101]. In addition, the rate of remission may be reduced by comorbid anxiety disorders (eg, generalized anxiety disorder), obsessive-compulsive disorder, and posttraumatic stress disorder [102], as well as lack of social support [93]. However, other clinical and sociodemographic factors are generally of little value in predicting outcomes [102,103].

Among patients with treatment-resistant depression, relapse seems to occur less frequently in patients who remit compared to those who respond (reduction of baseline symptoms ≥50 percent) but do not remit. As an example, patients who completed step 3 treatment in STAR*D were followed for up to 12 months [1]. The rate of relapse among patients who remitted (n = 35) and patients who responded (n = 66) was 43 and 76 percent. Factors associated with an increased risk of relapse include poor social support [93].

Information about the long term course of illness in major depression is discussed separately. (See "Unipolar depression in adults: Course of illness".)

INFORMATION FOR PATIENTS — UpToDate offers two types of patient education materials, “The Basics” and “Beyond the Basics.” The Basics patient education pieces are written in plain language, at the 5th to 6th grade reading level, and they answer the four or five key questions a patient might have about a given condition. These articles are best for patients who want a general overview and who prefer short, easy-to-read materials. Beyond the Basics patient education pieces are longer, more sophisticated, and more detailed. These articles are written at the 10th to 12th grade reading level and are best for patients who want in-depth information and are comfortable with some medical jargon.

Here are the patient education articles that are relevant to this topic. We encourage you to print or e-mail these topics to your patients. (You can also locate patient education articles on a variety of subjects by searching on “patient info” and the keyword(s) of interest.)

Basics topics (see "Patient education: Depression in adults (The Basics)" and "Patient education: When you have depression and another health problem (The Basics)")

Beyond the Basics topics (see "Patient education: Depression in adults (Beyond the Basics)" and "Patient education: Depression treatment options for adults (Beyond the Basics)" and "Patient education: Electroconvulsive therapy (ECT) (Beyond the Basics)")

SUMMARY

Unipolar major depression (major depressive disorder) is diagnosed in patients who have suffered at least one major depressive episode and have no history of mania or hypomania. Diagnostic criteria for an episode of major depression are listed in the table (table 1). (See "Unipolar depression in adults: Assessment and diagnosis".)

Treatment-resistant depression typically refers to major depressive episodes that do not respond satisfactorily after two trials of antidepressant monotherapy. However, the definition has not been standardized, and treatment-resistant depression can be viewed as a continuum. (See 'Treatment-resistant depression' above.)

Among patients with unipolar major depression who receive initial treatment, the estimated incidence of treatment resistance ranges from approximately 45 to 65 percent. Risk factors include general medical and psychiatric comorbidity, severe intensity of depressive symptoms, and adverse life events. (See 'Epidemiology' above.)

The pathogenesis of treatment-resistant depression is not known. Genetic factors may possibly affect response to antidepressants by influencing drug distribution and metabolism, serum and brain drug concentrations, and target molecules. In addition, deficits in specific neural networks may possibly underlie treatment-resistant depression. (See 'Pathogenesis' above.)

The psychiatric evaluation of patients with unipolar major depression who are treatment resistant should assess diagnosis (including the presence of psychotic features), suicidal ideation and behavior, history of drugs that can cause depression (eg, glucocorticoids and interferons), comorbid psychiatric disorders, and prior treatment history. (See 'Assessment and identification' above.)

Unipolar treatment-resistant major depression eventually remits after one or more next step treatment trials in approximately 67 percent of patients. However, the probability of remission may decrease with successive treatment failures, and withdrawal from treatment may increase after each next-step treatment. (See 'Prognosis' above.)

ACKNOWLEDGMENT — The UpToDate editorial staff acknowledges Drs. Wayne Katon and Paul Ciechanowski, who contributed to earlier versions of this topic review.

  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; 163:1905.
  2. Pilon D, Szukis H, Joshi K, et al. US Integrated Delivery Networks Perspective on Economic Burden of Patients with Treatment-Resistant Depression: A Retrospective Matched-Cohort Study. Pharmacoecon Open 2020; 4:119.
  3. Li G, Zhang L, DiBernardo A, et al. A retrospective analysis to estimate the healthcare resource utilization and cost associated with treatment-resistant depression in commercially insured US patients. PLoS One 2020; 15:e0238843.
  4. Kessler RC, Berglund P, Demler O, et al. The epidemiology of major depressive disorder: results from the National Comorbidity Survey Replication (NCS-R). JAMA 2003; 289:3095.
  5. 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.
  6. American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5), American Psychiatric Association, Arlington, VA 2013.
  7. Rush AJ, Warden D, Wisniewski SR, et al. STAR*D: revising conventional wisdom. CNS Drugs 2009; 23:627.
  8. Berlim MT, Turecki G. What is the meaning of treatment resistant/refractory major depression (TRD)? A systematic review of current randomized trials. Eur Neuropsychopharmacol 2007; 17:696.
  9. Schosser A, Serretti A, Souery D, et al. European Group for the Study of Resistant Depression (GSRD)--where have we gone so far: review of clinical and genetic findings. Eur Neuropsychopharmacol 2012; 22:453.
  10. Nelson JC. The STAR*D study: a four-course meal that leaves us wanting more. Am J Psychiatry 2006; 163:1864.
  11. Conway CR, George MS, Sackeim HA. Toward an Evidence-Based, Operational Definition of Treatment-Resistant Depression: When Enough Is Enough. JAMA Psychiatry 2017; 74:9.
  12. National Institute for Health & Clinical Excellence. The Treatment and Management of Depression in Adults (updated edition). National Clinical Practice Guideline 90, 2010. http://www.nice.org.uk/ (Accessed on December 09, 2012).
  13. Keitner GI, Garlow SJ, Ryan CE, et al. A randomized, placebo-controlled trial of risperidone augmentation for patients with difficult-to-treat unipolar, non-psychotic major depression. J Psychiatr Res 2009; 43:205.
  14. Sackeim HA. The definition and meaning of treatment-resistant depression. J Clin Psychiatry 2001; 62 Suppl 16:10.
  15. Souery D, Papakostas GI, Trivedi MH. Treatment-resistant depression. J Clin Psychiatry 2006; 67 Suppl 6:16.
  16. Rush AJ, Kraemer HC, Sackeim HA, et al. Report by the ACNP Task Force on response and remission in major depressive disorder. Neuropsychopharmacology 2006; 31:1841.
  17. Keller MB. Issues in treatment-resistant depression. J Clin Psychiatry 2005; 66 Suppl 8:5.
  18. Barbee JG, Thompson TR, Jamhour NJ, et al. A double-blind placebo-controlled trial of lamotrigine as an antidepressant augmentation agent in treatment-refractory unipolar depression. J Clin Psychiatry 2011; 72:1405.
  19. Crismon ML, Trivedi M, Pigott TA, et al. The Texas Medication Algorithm Project: report of the Texas Consensus Conference Panel on Medication Treatment of Major Depressive Disorder. J Clin Psychiatry 1999; 60:142.
  20. Quitkin FM, Petkova E, McGrath PJ, et al. When should a trial of fluoxetine for major depression be declared failed? Am J Psychiatry 2003; 160:734.
  21. Hamilton M. Hamilton Rating Scale for Depression (HAM-D). In: Handbook of Psychiatric Measures, Second Edition, Rush Jr AJ, First MB, Blacker D (Eds), American Psychiatric Publishing, Inc, Washington, DC 2008. p.508.
  22. Montgomery SA, Asberg M. Montgomery-Asberg Depression Rating Scale (MADRS). In: Handbook of Psychiatric Measures, Second Edition, Rush Jr AJ, First MB, Blacker D (Eds), American Psychiatric Publishing, Inc, Washington, DC 2008. p.514.
  23. Trivedi MH, Rush AJ, Wisniewski SR, et al. Evaluation of outcomes with citalopram for depression using measurement-based care in STAR*D: implications for clinical practice. Am J Psychiatry 2006; 163:28.
  24. Fava M, Davidson KG. Definition and epidemiology of treatment-resistant depression. Psychiatr Clin North Am 1996; 19:179.
  25. Zhdanava M, Pilon D, Ghelerter I, et al. The Prevalence and National Burden of Treatment-Resistant Depression and Major Depressive Disorder in the United States. J Clin Psychiatry 2021; 82.
  26. Keitner GI, Ryan CE, Miller IW, et al. 12-month outcome of patients with major depression and comorbid psychiatric or medical illness (compound depression). Am J Psychiatry 1991; 148:345.
  27. Iosifescu DV, Nierenberg AA, Alpert JE, et al. The impact of medical comorbidity on acute treatment in major depressive disorder. Am J Psychiatry 2003; 160:2122.
  28. Iosifescu DV, Clementi-Craven N, Fraguas R, et al. Cardiovascular risk factors may moderate pharmacological treatment effects in major depressive disorder. Psychosom Med 2005; 67:703.
  29. Howland RH. Thyroid dysfunction in refractory depression: implications for pathophysiology and treatment. J Clin Psychiatry 1993; 54:47.
  30. Vieta E, Colom F. Therapeutic options in treatment-resistant depression. Ann Med 2011; 43:512.
  31. Carter GC, Cantrell RA, Victoria Zarotsky, et al. Comprehensive review of factors implicated in the heterogeneity of response in depression. Depress Anxiety 2012; 29:340.
  32. Gaynes BN. Identifying difficult-to-treat depression: differential diagnosis, subtypes, and comorbidities. J Clin Psychiatry 2009; 70 Suppl 6:10.
  33. Patten SB, Barbui C. Drug-induced depression: a systematic review to inform clinical practice. Psychother Psychosom 2004; 73:207.
  34. Souery D, Oswald P, Massat I, et al. Clinical factors associated with treatment resistance in major depressive disorder: results from a European multicenter study. J Clin Psychiatry 2007; 68:1062.
  35. Bartova L, Dold M, Kautzky A, et al. Results of the European Group for the Study of Resistant Depression (GSRD) - basis for further research and clinical practice. World J Biol Psychiatry 2019; 20:427.
  36. Balestri M, Calati R, Souery D, et al. Socio-demographic and clinical predictors of treatment resistant depression: A prospective European multicenter study. J Affect Disord 2016; 189:224.
  37. Fava M. Diagnosis and definition of treatment-resistant depression. Biol Psychiatry 2003; 53:649.
  38. Anderson IM, Ferrier IN, Baldwin RC, et al. Evidence-based guidelines for treating depressive disorders with antidepressants: a revision of the 2000 British Association for Psychopharmacology guidelines. J Psychopharmacol 2008; 22:343.
  39. De Almeida Fleck MP, Simon G, Herrman H, et al. Major depression and its correlates in primary care settings in six countries. 9-month follow-up study. Br J Psychiatry 2005; 186:41.
  40. Amital D, Fostick L, Silberman A, et al. Serious life events among resistant and non-resistant MDD patients. J Affect Disord 2008; 110:260.
  41. Denton WH, Carmody TJ, Rush AJ, et al. Dyadic discord at baseline is associated with lack of remission in the acute treatment of chronic depression. Psychol Med 2010; 40:415.
  42. Tunnard C, Rane LJ, Wooderson SC, et al. The impact of childhood adversity on suicidality and clinical course in treatment-resistant depression. J Affect Disord 2014; 152-154:122.
  43. Williams LM, Debattista C, Duchemin AM, et al. Childhood trauma predicts antidepressant response in adults with major depression: data from the randomized international study to predict optimized treatment for depression. Transl Psychiatry 2016; 6:e799.
  44. Nanni V, Uher R, Danese A. Childhood maltreatment predicts unfavorable course of illness and treatment outcome in depression: a meta-analysis. Am J Psychiatry 2012; 169:141.
  45. Nelson J, Klumparendt A, Doebler P, Ehring T. Childhood maltreatment and characteristics of adult depression: meta-analysis. Br J Psychiatry 2017; 210:96.
  46. Yrondi A, Aouizerate B, Bennabi D, et al. Childhood maltreatment and clinical severity of treatment-resistant depression in a French cohort of outpatients (FACE-DR): One-year follow-up. Depress Anxiety 2020; 37:365.
  47. Takahashi M, Shirayama Y, Muneoka K, et al. Personality traits as risk factors for treatment-resistant depression. PLoS One 2013; 8:e63756.
  48. Takahashi M, Shirayama Y, Muneoka K, et al. Low openness on the revised NEO personality inventory as a risk factor for treatment-resistant depression. PLoS One 2013; 8:e71964.
  49. Dudek D, Rybakowski JK, Siwek M, et al. Risk factors of treatment resistance in major depression: association with bipolarity. J Affect Disord 2010; 126:268.
  50. Cohen A, Houck PR, Szanto K, et al. Social inequalities in response to antidepressant treatment in older adults. Arch Gen Psychiatry 2006; 63:50.
  51. Jakubovski E, Bloch MH. Prognostic subgroups for citalopram response in the STAR*D trial. J Clin Psychiatry 2014; 75:738.
  52. Gronemann FH, Jorgensen MB, Nordentoft M, et al. Socio-demographic and clinical risk factors of treatment-resistant depression: A Danish population-based cohort study. J Affect Disord 2020; 261:221.
  53. Dudek D, Siwek M, Borowiecka-Kluza J. [The analysis of bipolar spectrum features in drug resistant unipolar depression patients as compared to depressive patients who responded to standard antidepressant treatment. A pilot study]. Psychiatr Pol 2008; 42:283.
  54. Perlis RH, Uher R, Ostacher M, et al. Association between bipolar spectrum features and treatment outcomes in outpatients with major depressive disorder. Arch Gen Psychiatry 2011; 68:351.
  55. Drozda K, Müller DJ, Bishop JR. Pharmacogenomic testing for neuropsychiatric drugs: current status of drug labeling, guidelines for using genetic information, and test options. Pharmacotherapy 2014; 34:166.
  56. Kawanishi C, Lundgren S, Agren H, Bertilsson L. Increased incidence of CYP2D6 gene duplication in patients with persistent mood disorders: ultrarapid metabolism of antidepressants as a cause of nonresponse. A pilot study. Eur J Clin Pharmacol 2004; 59:803.
  57. Hodgson K, Tansey K, Dernovsek MZ, et al. Genetic differences in cytochrome P450 enzymes and antidepressant treatment response. J Psychopharmacol 2014; 28:133.
  58. GENDEP Investigators, MARS Investigators, STAR*D Investigators. Common genetic variation and antidepressant efficacy in major depressive disorder: a meta-analysis of three genome-wide pharmacogenetic studies. Am J Psychiatry 2013; 170:207.
  59. Rochat B, Baumann P, Audus KL. Transport mechanisms for the antidepressant citalopram in brain microvessel endothelium. Brain Res 1999; 831:229.
  60. Uhr M, Steckler T, Yassouridis A, Holsboer F. Penetration of amitriptyline, but not of fluoxetine, into brain is enhanced in mice with blood-brain barrier deficiency due to mdr1a P-glycoprotein gene disruption. Neuropsychopharmacology 2000; 22:380.
  61. Parsey RV, Hastings RS, Oquendo MA, et al. Effect of a triallelic functional polymorphism of the serotonin-transporter-linked promoter region on expression of serotonin transporter in the human brain. Am J Psychiatry 2006; 163:48.
  62. Lin JY, Jiang MY, Kan ZM, Chu Y. Influence of 5-HTR2A genetic polymorphisms on the efficacy of antidepressants in the treatment of major depressive disorder: a meta-analysis. J Affect Disord 2014; 168:430.
  63. Hong CJ, Chen TJ, Yu YW, Tsai SJ. Response to fluoxetine and serotonin 1A receptor (C-1019G) polymorphism in Taiwan Chinese major depressive disorder. Pharmacogenomics J 2006; 6:27.
  64. Zhang C, Li Z, Wu Z, et al. A study of N-methyl-D-aspartate receptor gene (GRIN2B) variants as predictors of treatment-resistant major depression. Psychopharmacology (Berl) 2014; 231:685.
  65. Anttila S, Huuhka K, Huuhka M, et al. Interaction between 5-HT1A and BDNF genotypes increases the risk of treatment-resistant depression. J Neural Transm (Vienna) 2007; 114:1065.
  66. Serretti A, Kato M, De Ronchi D, Kinoshita T. Meta-analysis of serotonin transporter gene promoter polymorphism (5-HTTLPR) association with selective serotonin reuptake inhibitor efficacy in depressed patients. Mol Psychiatry 2007; 12:247.
  67. Lewis G, Mulligan J, Wiles N, et al. Polymorphism of the 5-HT transporter and response to antidepressants: randomised controlled trial. Br J Psychiatry 2011; 198:464.
  68. McGuffin P, Alsabban S, Uher R. The truth about genetic variation in the serotonin transporter gene and response to stress and medication. Br J Psychiatry 2011; 198:424.
  69. Cattaneo A, Gennarelli M, Uher R, et al. Candidate genes expression profile associated with antidepressants response in the GENDEP study: differentiating between baseline 'predictors' and longitudinal 'targets'. Neuropsychopharmacology 2013; 38:377.
  70. Li CT, Su TP, Wang SJ, et al. Prefrontal glucose metabolism in medication-resistant major depression. Br J Psychiatry 2015; 206:316.
  71. McGrath CL, Kelley ME, Dunlop BW, et al. Pretreatment brain states identify likely nonresponse to standard treatments for depression. Biol Psychiatry 2014; 76:527.
  72. Lui S, Wu Q, Qiu L, et al. Resting-state functional connectivity in treatment-resistant depression. Am J Psychiatry 2011; 168:642.
  73. Peng HJ, Zheng HR, Ning YP, et al. Abnormalities of cortical-limbic-cerebellar white matter networks may contribute to treatment-resistant depression: a diffusion tensor imaging study. BMC Psychiatry 2013; 13:72.
  74. Serra-Blasco M, Portella MJ, Gómez-Ansón B, et al. Effects of illness duration and treatment resistance on grey matter abnormalities in major depression. Br J Psychiatry 2013; 202:434.
  75. Klok MPC, van Eijndhoven PF, Argyelan M, et al. Structural brain characteristics in treatment-resistant depression: review of magnetic resonance imaging studies. BJPsych Open 2019; 5:e76.
  76. de Diego-Adeliño J, Pires P, Gómez-Ansón B, et al. Microstructural white-matter abnormalities associated with treatment resistance, severity and duration of illness in major depression. Psychol Med 2014; 44:1171.
  77. Clark SL, Hattab MW, Chan RF, et al. A methylation study of long-term depression risk. Mol Psychiatry 2020; 25:1334.
  78. Vojvodic J, Mihajlovic G, Vojvodic P, et al. The Impact of Immunological Factors on Depression Treatment - Relation Between Antidepressants and Immunomodulation Agents. Open Access Maced J Med Sci 2019; 7:3064.
  79. Pan LA, Martin P, Zimmer T, et al. Neurometabolic Disorders: Potentially Treatable Abnormalities in Patients With Treatment-Refractory Depression and Suicidal Behavior. Am J Psychiatry 2017; 174:42.
  80. Trangle M, Dieperink B, Gabert T, et al. Institute for Clinical Systems Improvement. Major Depression in Adults in Primary Care. Updated May 2012. http://www.icsi.org/depression_5/depression__major__in_adults_in_primary_care_3.html (Accessed on December 12, 2012).
  81. Correa R, Akiskal H, Gilmer W, et al. Is unrecognized bipolar disorder a frequent contributor to apparent treatment resistant depression? J Affect Disord 2010; 127:10.
  82. Desseilles M, Witte J, Chang TE, et al. Assessing the adequacy of past antidepressant trials: a clinician's guide to the antidepressant treatment response questionnaire. J Clin Psychiatry 2011; 72:1152.
  83. Posternak MA, Zimmerman M. How accurate are patients in reporting their antidepressant treatment history? J Affect Disord 2003; 75:115.
  84. Simon GE, Rutter CM, Stewart C, et al. Response to past depression treatments is not accurately recalled: comparison of structured recall and patient health questionnaire scores in medical records. J Clin Psychiatry 2012; 73:1503.
  85. Chandler GM, Iosifescu DV, Pollack MH, et al. RESEARCH: Validation of the Massachusetts General Hospital Antidepressant Treatment History Questionnaire (ATRQ). CNS Neurosci Ther 2010; 16:322.
  86. Oquendo MA, Baca-Garcia E, Kartachov A, et al. A computer algorithm for calculating the adequacy of antidepressant treatment in unipolar and bipolar depression. J Clin Psychiatry 2003; 64:825.
  87. Sackeim HA, Aaronson ST, Bunker MT, et al. The assessment of resistance to antidepressant treatment: Rationale for the Antidepressant Treatment History Form: Short Form (ATHF-SF). J Psychiatr Res 2019; 113:125.
  88. Thase ME, Rush AJ. When at first you don't succeed: sequential strategies for antidepressant nonresponders. J Clin Psychiatry 1997; 58 Suppl 13:23.
  89. Petersen T, Papakostas GI, Posternak MA, et al. Empirical testing of two models for staging antidepressant treatment resistance. J Clin Psychopharmacol 2005; 25:336.
  90. Fekadu A, Wooderson S, Donaldson C, et al. A multidimensional tool to quantify treatment resistance in depression: the Maudsley staging method. J Clin Psychiatry 2009; 70:177.
  91. Souery D, Amsterdam J, de Montigny C, et al. Treatment resistant depression: methodological overview and operational criteria. Eur Neuropsychopharmacol 1999; 9:83.
  92. Hetrick SE, Parker AG, Hickie IB, et al. Early identification and intervention in depressive disorders: towards a clinical staging model. Psychother Psychosom 2008; 77:263.
  93. Fekadu A, Rane LJ, Wooderson SC, et al. Prediction of longer-term outcome of treatment-resistant depression in tertiary care. Br J Psychiatry 2012; 201:369.
  94. Ruhé HG, van Rooijen G, Spijker J, et al. Staging methods for treatment resistant depression. A systematic review. J Affect Disord 2012; 137:35.
  95. Adli M, Bauer M, Rush AJ. Algorithms and collaborative-care systems for depression: are they effective and why? A systematic review. Biol Psychiatry 2006; 59:1029.
  96. Quitkin FM, McGrath PJ, Stewart JW, et al. Remission rates with 3 consecutive antidepressant trials: effectiveness for depressed outpatients. J Clin Psychiatry 2005; 66:670.
  97. Rush AJ, Thase ME, Dubé S. Research issues in the study of difficult-to-treat depression. Biol Psychiatry 2003; 53:743.
  98. Souery D, Calati R, Papageorgiou K, et al. What to expect from a third step in treatment resistant depression: A prospective open study on escitalopram. World J Biol Psychiatry 2015; 16:472.
  99. Mrazek DA, Hornberger JC, Altar CA, Degtiar I. A review of the clinical, economic, and societal burden of treatment-resistant depression: 1996-2013. Psychiatr Serv 2014; 65:977.
  100. Fava M, Rush AJ, Alpert JE, et al. Difference in treatment outcome in outpatients with anxious versus nonanxious depression: a STAR*D report. Am J Psychiatry 2008; 165:342.
  101. Greenlee A, Karp JF, Dew MA, et al. Anxiety impairs depression remission in partial responders during extended treatment in late-life. Depress Anxiety 2010; 27:451.
  102. Rush AJ, Wisniewski SR, Warden D, et al. Selecting among second-step antidepressant medication monotherapies: predictive value of clinical, demographic, or first-step treatment features. Arch Gen Psychiatry 2008; 65:870.
  103. Perlis RH, Alpert J, Nierenberg AA, et al. Clinical and sociodemographic predictors of response to augmentation, or dose increase among depressed outpatients resistant to fluoxetine 20 mg/day. Acta Psychiatr Scand 2003; 108:432.
Topic 87498 Version 27.0

References

آیا می خواهید مدیلیب را به صفحه اصلی خود اضافه کنید؟