Browsing by Author "Rush, A John"
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Item Open Access A Clinician's Perspective on Biomarkers.(Focus (American Psychiatric Publishing), 2018-04-27) Rush, A John; Ibrahim, Hicham MPsychiatrists and mental health professionals regularly perform various clinical tasks (e.g., detection, differential diagnosis, prognostication, treatment selection and implementation). How well they perform each of these tasks has a direct impact on patient outcomes. Measurement-based care has brought greater precision to these tasks and has improved outcomes. This article provides an overview of the types of biomeasures and biomarkers, the clinical uses of biomarkers, and the challenges in their development and clinical use. Although still in their infancy, biomarkers hold the promise of bringing even greater precision and even better outcomes in mental health. Biomeasures that could become biomarkers include genetic, proteomic, metabolomic, and immunologic measures, as well as physiological, functional, and brain structural measures. Mechanistic markers reflect and are based on the specific pathobiological processes that are involved in the development of a clinically defined condition. Some clinically relevant biomarkers may rely on this mechanistic understanding while others may not. Clinical biomarkers serve three broadly defined goals. Diagnostic markers define what is wrong. Prognostic markers define what will happen in the natural course of the condition, although they may also predict the course of illness during treatment. Theranostic markers address issues pertinent to treatment by defining whether, when, whom, and how to treat. Other biomarkers may be used to monitor the overall effect of treatment regardless of the therapeutic effects or to monitor the specific therapeutic effects of the intervention on the disorder itself. Biomarkers can also be used to estimate susceptibility/risk of developing the condition or the biological consequences of having had the disorder.Item Open Access A randomized, double-blind, placebo-controlled trial of pramipexole augmentation in treatment-resistant major depressive disorder.(The Journal of clinical psychiatry, 2013-07) Cusin, Cristina; Iovieno, Nadia; Iosifescu, Dan V; Nierenberg, Andrew A; Fava, Maurizio; Rush, A John; Perlis, Roy HBackground
Multiple treatments for patients with major depressive disorder (MDD) have demonstrated efficacy, but up to one-third of individuals with MDD do not achieve symptomatic remission despite various interventions. Existing augmentation or combination strategies can have substantial safety concerns that may limit their application.Method
This study investigated the antidepressant efficacy of a flexible dose of the dopamine agonist pramipexole as an adjunct to standard antidepressant treatment in an 8-week, randomized, double-blind, placebo-controlled trial conducted in a tertiary-level depression center. We randomized 60 outpatients (aged 18 to 75 years) with treatment-resistant nonpsychotic MDD (diagnosed according to DSM-IV) to either pramipexole (n = 30) or placebo (n = 30). Treatment resistance was defined as continued depression (Montgomery-Asberg Depression Rating Scale [MADRS] score ≥ 18) despite treatment with at least 1 prior antidepressant in the current depressive episode. Patients were recruited between September 2005 and April 2008. The primary outcome measure was the MADRS score.Results
The analyses that used a mixed-effects linear regression model indicated a modest but statistically significant benefit for pramipexole (P = .038). The last-observation-carried-forward analyses indicated that 40% and 33% of patients randomized to augmentation with pramipexole achieved response (χ(2) = 1.2, P = .27) and remission (χ(2) = 0.74, P = .61), respectively, compared to 27% and 23% with placebo; however, those differences were not statistically significant. Augmentation with pramipexole was well-tolerated, with no serious adverse effects identified.Conclusion
For patients who have failed to respond to standard antidepressant therapies, pramipexole is a safe and potentially efficacious augmentation strategy.Trial registration
ClinicalTrials.gov identifier: NCT00231959.Item Open Access A Structured Approach to Detecting and Treating Depression in Primary Care: VitalSign6 Project.(Annals of family medicine, 2019-07) Jha, Manish K; Grannemann, Bruce D; Trombello, Joseph M; Clark, E Will; Eidelman, Sara Levinson; Lawson, Tiffany; Greer, Tracy L; Rush, A John; Trivedi, Madhukar HPurpose
This report describes outcomes of an ongoing quality-improvement project (VitalSign6) in a large US metropolitan area to improve recognition, treatment, and outcomes of depressed patients in 16 primary care clinics (6 charity clinics, 6 federally qualified health care centers, 2 private clinics serving low-income populations, and 2 private clinics serving patients with either Medicare or private insurance).Methods
Inclusion in this retrospective analysis was restricted to the first 25,000 patients (aged ≥12 years) screened with the 2-item Patient Health Questionnaire (PHQ-2) in the aforementioned quality-improvement project. Further evaluations with self-reports and clinician assessments were recorded for those with positive screen (PHQ-2 >2). Data collected from August 2014 though November 2016 were available at 3 levels: (1) initial PHQ-2 (n = 25,000), (2) positive screen (n = 4,325), and (3) clinician-diagnosed depressive disorder with 18 or more weeks of enrollment (n = 2,160).Results
Overall, 17.3% (4,325/25,000) of patients screened positive for depression. Of positive screens, 56.1% (2,426/4,325) had clinician-diagnosed depressive disorder. Of those enrolled for 18 or more weeks, 64.8% were started on measurement-based pharmacotherapy and 8.9% referred externally. Of the 1,400 patients started on pharmacotherapy, 45.5%, 30.2%, 12.6%, and 11.6% had 0, 1, 2, and 3 or more follow-up visits, respectively. Remission rates were 20.3% (86/423), 31.6% (56/177), and 41.7% (68/163) for those with 1, 2, and 3 or more follow-up visits, respectively. Baseline characteristics associated with higher attrition were: non-white, positive drug-abuse screen, lower depression/anxiety symptom severity, and younger age.Conclusion
Although remission rates are high in those with 3 or more follow-up visits after routine screening and treatment of depression, attrition from care is a significant issue adversely affecting outcomes.Item Open Access Algorithms For Treatment of Major Depressive Disorder: Efficacy and Cost-Effectiveness.(Pharmacopsychiatry, 2019-03) Bauer, Michael; Rush, A John; Ricken, Roland; Pilhatsch, Maximilian; Adli, MazdaIn spite of multiple new treatment options, chronic and treatment refractory courses still are a major challenge in the treatment of depression. Providing algorithm-guided antidepressant treatments is considered an important strategy to optimize treatment delivery and avoid or overcome treatment-resistant courses of major depressive disorder (MDD). The clinical benefits of algorithms in the treatment of inpatients with MDD have been investigated in large-scale, randomized controlled trials. Results showed that a stepwise treatment regimen (algorithm) with critical decision points at the end of each treatment step based on standardized and systematic measurements of response and an algorithm-guided decision-making process increases the chances of achieving remission and optimizes prescription behaviors for antidepressants. In conclusion, research in MDD revealed that systematic and structured treatment procedures, the diligent assessment of response at critical decision points, and timely dose and treatment type adjustments make the substantial difference in treatment outcomes between algorithm-guided treatment and treatment as usual.Item Open Access Alterations in acylcarnitines, amines, and lipids inform about the mechanism of action of citalopram/escitalopram in major depression.(Translational psychiatry, 2021-03-02) MahmoudianDehkordi, Siamak; Ahmed, Ahmed T; Bhattacharyya, Sudeepa; Han, Xianlin; Baillie, Rebecca A; Arnold, Matthias; Skime, Michelle K; John-Williams, Lisa St; Moseley, M Arthur; Thompson, J Will; Louie, Gregory; Riva-Posse, Patricio; Craighead, W Edward; McDonald, William; Krishnan, Ranga; Rush, A John; Frye, Mark A; Dunlop, Boadie W; Weinshilboum, Richard M; Kaddurah-Daouk, Rima; Mood Disorders Precision Medicine Consortium (MDPMC)Selective serotonin reuptake inhibitors (SSRIs) are the first-line treatment for major depressive disorder (MDD), yet their mechanisms of action are not fully understood and their therapeutic benefit varies among individuals. We used a targeted metabolomics approach utilizing a panel of 180 metabolites to gain insights into mechanisms of action and response to citalopram/escitalopram. Plasma samples from 136 participants with MDD enrolled into the Mayo Pharmacogenomics Research Network Antidepressant Medication Pharmacogenomic Study (PGRN-AMPS) were profiled at baseline and after 8 weeks of treatment. After treatment, we saw increased levels of short-chain acylcarnitines and decreased levels of medium-chain and long-chain acylcarnitines, suggesting an SSRI effect on β-oxidation and mitochondrial function. Amines-including arginine, proline, and methionine sulfoxide-were upregulated while serotonin and sarcosine were downregulated, suggesting an SSRI effect on urea cycle, one-carbon metabolism, and serotonin uptake. Eighteen lipids within the phosphatidylcholine (PC aa and ae) classes were upregulated. Changes in several lipid and amine levels correlated with changes in 17-item Hamilton Rating Scale for Depression scores (HRSD17). Differences in metabolic profiles at baseline and post-treatment were noted between participants who remitted (HRSD17 ≤ 7) and those who gained no meaningful benefits (<30% reduction in HRSD17). Remitters exhibited (a) higher baseline levels of C3, C5, alpha-aminoadipic acid, sarcosine, and serotonin; and (b) higher week-8 levels of PC aa C34:1, PC aa C34:2, PC aa C36:2, and PC aa C36:4. These findings suggest that mitochondrial energetics-including acylcarnitine metabolism, transport, and its link to β-oxidation-and lipid membrane remodeling may play roles in SSRI treatment response.Item Open Access Antidepressant side effects and their impact on treatment outcome in people with major depressive disorder: an iSPOT-D report.(Translational psychiatry, 2021-08-04) Braund, Taylor A; Tillman, Gabriel; Palmer, Donna M; Gordon, Evian; Rush, A John; Harris, Anthony WFSide effects to antidepressant medications are common and can impact the prognosis of successful treatment outcome in people with major depressive disorder (MDD). However, few studies have investigated the severity of side effects over the course of treatment and their association with treatment outcome. Here we assessed the severity of side effects and the impact of treatment type and anxiety symptoms over the course of treatment, as well as whether side effects were associated with treatment outcome. Participants were N = 1008 adults with a current diagnosis of single-episode or recurrent, nonpsychotic MDD. Participants were randomised to receive escitalopram, sertraline, or venlafaxine-extended release with equal probability and reassessed at 8 weeks regarding Hamilton Rating Scale Depression (HRSD17) and Quick Inventory of Depressive Symptomatology (QIDS-SR16) remission and response. Severity of side effects were assessed using the Frequency, Intensity, and Burden of Side Effects Rating (FIBSER) scale and assessed at day 4 and weeks 2, 4, 6, and 8. Frequency, intensity, and burden of side effects were greatest at week 2, then only frequency and intensity of side effects gradually decreased up to week 6. Treatment type and anxiety symptoms did not impact the severity of side effects. A greater burden-but not frequency or intensity-of side effects was associated with poorer treatment outcome and as early as 4 days post-treatment. Together, this work provides an informative mapping of the progression of side effects throughout the treatment course and their association with treatment outcome. Importantly, the burden of side effects that are present as early as 4 days post-treatment predicts poorer treatment outcome and should be monitored closely. iSPOT-D: Registry name: ClinicalTrials.gov. Registration number: NCT00693849.Item Open Access Biomarkers: Where Are We Going?(Focus (American Psychiatric Publishing), 2018-04-27) Rush, A JohnItem Open Access Bupropion and Naltrexone in Methamphetamine Use Disorder.(The New England journal of medicine, 2021-01) Trivedi, Madhukar H; Walker, Robrina; Ling, Walter; Dela Cruz, Adriane; Sharma, Gaurav; Carmody, Thomas; Ghitza, Udi E; Wahle, Aimee; Kim, Mora; Shores-Wilson, Kathy; Sparenborg, Steven; Coffin, Phillip; Schmitz, Joy; Wiest, Katharina; Bart, Gavin; Sonne, Susan C; Wakhlu, Sidarth; Rush, A John; Nunes, Edward V; Shoptaw, StevenBackground
The use of naltrexone plus bupropion to treat methamphetamine use disorder has not been well studied.Methods
We conducted this multisite, double-blind, two-stage, placebo-controlled trial with the use of a sequential parallel comparison design to evaluate the efficacy and safety of extended-release injectable naltrexone (380 mg every 3 weeks) plus oral extended-release bupropion (450 mg per day) in adults with moderate or severe methamphetamine use disorder. In the first stage of the trial, participants were randomly assigned in a 0.26:0.74 ratio to receive naltrexone-bupropion or matching injectable and oral placebo for 6 weeks. Those in the placebo group who did not have a response in stage 1 underwent rerandomization in stage 2 and were assigned in a 1:1 ratio to receive naltrexone-bupropion or placebo for an additional 6 weeks. Urine samples were obtained from participants twice weekly. The primary outcome was a response, defined as at least three methamphetamine-negative urine samples out of four samples obtained at the end of stage 1 or stage 2, and the weighted average of the responses in the two stages is reported. The treatment effect was defined as the between-group difference in the overall weighted responses.Results
A total of 403 participants were enrolled in stage 1, and 225 in stage 2. In the first stage, 18 of 109 participants (16.5%) in the naltrexone-bupropion group and 10 of 294 (3.4%) in the placebo group had a response. In the second stage, 13 of 114 (11.4%) in the naltrexone-bupropion group and 2 of 111 (1.8%) in the placebo group had a response. The weighted average response across the two stages was 13.6% with naltrexone-bupropion and 2.5% with placebo, for an overall treatment effect of 11.1 percentage points (Wald z-test statistic, 4.53; P<0.001). Adverse events with naltrexone-bupropion included gastrointestinal disorders, tremor, malaise, hyperhidrosis, and anorexia. Serious adverse events occurred in 8 of 223 participants (3.6%) who received naltrexone-bupropion during the trial.Conclusions
Among adults with methamphetamine use disorder, the response over a period of 12 weeks among participants who received extended-release injectable naltrexone plus oral extended-release bupropion was low but was higher than that among participants who received placebo. (Funded by the National Institute on Drug Abuse and others; ADAPT-2 ClinicalTrials.gov number, NCT03078075.).Item Open Access Can psychological features predict antidepressant response to rTMS? A Discovery-Replication approach.(Psychological medicine, 2020-01) Krepel, Noralie; Rush, A John; Iseger, Tabitha A; Sack, Alexander T; Arns, MartijnBackground
Few studies focused on the relationship between psychological measures, major depressive disorder (MDD) and repetitive transcranial magnetic stimulation (rTMS) response. This study investigated several psychological measures as potential predictors for rTMS treatment response. Additionally, this study employed two approaches to evaluate the robustness of our findings by implementing immediate replication and full-sample exploration with strict p-thresholding.Methods
This study is an open-label, multi-site study with a total of 196 MDD patients. The sample was subdivided in a Discovery (60% of total sample, n = 119) and Replication sample (40% of total sample, n = 77). Patients were treated with right low frequency (1 Hz) or left high frequency (10 Hz) rTMS at the dorsolateral prefrontal cortex. Clinical variables [Beck Depression Inventory (BDI), Neuroticism, Extraversion, Openness Five-Factor Inventory, and Depression, Anxiety, and Stress Scale, and BDI subscales] were obtained at baseline, post-treatment, and at follow-up. Predictors were analyzed in terms of statistical association, robustness (independent replication), as well as for their clinical relevance [positive predictive value (PPV) and negative predictive value (NPV)].Results
Univariate analyses revealed that non-responders had higher baseline anhedonia scores. Anhedonia scores at baseline correlated negatively with total BDI percentage change over time. This finding was replicated. However, anhedonia scores showed to be marginally predictive of rTMS response, and neither PPV nor NPV reached the levels of clinical relevance.Conclusions
This study suggests that non-responders to rTMS treatment have higher baseline anhedonia scores. However, anhedonia was only marginally predictive of rTMS response. Since all other psychological measures did not show predictive value, it is concluded that psychological measures cannot be used as clinically relevant predictors to rTMS response in MDD.Item Open Access Childhood maltreatment and impact on clinical features of major depression in adults.(Psychiatry research, 2020-11) Medeiros, Gustavo C; Prueitt, William L; Minhajuddin, Abu; Patel, Shirali S; Czysz, Andrew H; Furman, Jennifer L; Mason, Brittany L; Rush, A John; Jha, Manish K; Trivedi, Madhukar HObjectives
This study examined: 1) the prevalence of childhood maltreatment (CMT) in individuals with chronic and/or recurrent depression, 2) the association between CMT and depressive symptoms, 3) the link between CMT and worse clinical presentation of depression, 4) the effects of accumulation of different types of CMT, and 5) the relationship between the age at CMT and depression.Methods
We analyzed the baseline data of 663 individuals from the CO-MED study. CMT was determined by a brief self-reported questionnaire assessing sexual abuse, emotional abuse, physical abuse, and neglect. Correlational analyses were conducted.Results
Half of the sample (n = 331) reported CMT. Those with CMT had higher rates of panic/phobic, cognitive and anhedonic symptoms than those without CMT. All individual types of maltreatment were associated with a poorer clinical presentation including: 1) earlier MDD onset; 2) more severe MDD, 3) more suiccidality, 4) worse quality of life, and functioning, and 5) more psychiatric comorbidities. Clinical presentation was worse in participants who reported multiple types of CMT.Conclusions
In chronic and/or recurrent depression, CMT is common, usually of multiple types and is associated with a worse clinical presentation in MDD. The combination of multiple types of CMT is associated with more impairment.Item Open Access Clinical research challenges posed by difficult-to-treat depression.(Psychological medicine, 2022-02) Rush, A John; Sackeim, Harold A; Conway, Charles R; Bunker, Mark T; Hollon, Steven D; Demyttenaere, Koen; Young, Allan H; Aaronson, Scott T; Dibué, Maxine; Thase, Michael E; McAllister-Williams, R HamishApproximately one-third of individuals in a major depressive episode will not achieve sustained remission despite multiple, well-delivered treatments. These patients experience prolonged suffering and disproportionately utilize mental and general health care resources. The recently proposed clinical heuristic of 'difficult-to-treat depression' (DTD) aims to broaden our understanding and focus attention on the identification, clinical management, treatment selection, and outcomes of such individuals. Clinical trial methodologies developed to detect short-term therapeutic effects in treatment-responsive populations may not be appropriate in DTD. This report reviews three essential challenges for clinical intervention research in DTD: (1) how to define and subtype this heterogeneous group of patients; (2) how, when, and by what methods to select, acquire, compile, and interpret clinically meaningful outcome metrics; and (3) how to choose among alternative clinical trial design options to promote causal inference and generalizability. The boundaries of DTD are uncertain, and an evidence-based taxonomy and reliable assessment tools are preconditions for clinical research and subtyping. Traditional outcome metrics in treatment-responsive depression may not apply to DTD, as they largely reflect the only short-term symptomatic change and do not incorporate durability of benefit, side effect burden, or sustained impact on quality of life or daily function. The trial methodology will also require modification as trials will likely be of longer duration to examine the sustained impact, raising complex issues regarding control group selection, blinding and its integrity, and concomitant treatments.Item Open Access EEG biomarker informed prescription of antidepressants in MDD: a feasibility trial.(European neuropsychopharmacology : the journal of the European College of Neuropsychopharmacology, 2021-03) van der Vinne, Nikita; Vollebregt, Madelon A; Rush, A John; Eebes, Michiel; van Putten, Michel JAM; Arns, MartijnUsing pre-treatment biomarkers to guide patients to the preferred antidepressant medication treatment could be a promising approach to enhance its current modest response and remission rates. This open-label prospective study assessed the feasibility of using such pre-treatment biomarkers, by using previously identified EEG features (paroxysmal activity; alpha peak frequency; frontal alpha asymmetry) to inform the clinician in selecting among three different antidepressants (ADs; escitalopram, sertraline, venlafaxine) as compared to Treatment As Usual (TAU). EEG data were obtained from 195 outpatients with major depressive disorder prior to eight weeks of AD treatment. Primary outcome measure was the percentage change between before and after treatment on the Beck Depression Inventory-II (BDI-II). We compared TAU and EEG-informed prescription through AN(C)OVAs. Recruitment started with patients receiving TAU to establish baseline effectiveness, after which we recruited patients receiving EEG-informed prescription. 108 patients received EEG-informed prescription and 87 patients received TAU. Clinicians and patients were satisfied with the protocol. Overall, 70 (65%) of the EEG-informed clinicians followed recommendations (compared to 52 (60%) following prescriptions in the TAU group), establishing feasibility. We here confirm that treatment allocation informed by EEG variables previously reported in correlational studies, was feasible.Item Open Access Fixed-dose gabapentin augmentation in the treatment of alcohol withdrawal syndrome: a retrospective, open-label study.(The American journal of drug and alcohol abuse, 2020-01) Andaluz, Alex; DeMoss, Dustin; Claassen, Cynthia; Blair, Somer; Hsu, Jennifer; Bakre, Sulaimon; Khan, Mehreen; Atem, Folefac; Rush, A JohnBackground: Lorazepam use in the treatment of alcohol withdrawal syndrome (AWS) is not without risk.Objective: This study compares AWS outcomes using a standard, symptom-triggered lorazepam dosing protocol (control group) and symptom-triggered lorazepam dosing augmented with a gabapentin loading dose and taper (GABA group).Methods: Consecutive, non-randomized adults (n = 982; 64.0% male) undergoing treatment for AWS were included in this retrospective, open-label study. Symptom-triggered lorazepam dosing was informed by scores on the Clinical Institute Withdrawal Assessment-Alcohol, revised (CIWA-Ar). Gabapentin augmentation utilized an initial loading dose (900 mg) and a three-day taper. Outcomes included average symptom severity per treatment hour and average lorazepam dose per treatment hour. Average time in the protocol by group, stratified by highest CIWA-Ar score, was examined as a secondary outcome. A priori group differences were controlled statistically.Results: GABA patients were older and exhibited somewhat more severe withdrawal symptoms than controls. After controlling for confounders, gabapentin augmentation did not significantly lower average lorazepam dosing per treatment hour or withdrawal symptom severity per treatment hour. Compared to controls, overall withdrawal symptoms diminished somewhat more rapidly for GABA patients experiencing low or moderate-level withdrawal symptoms; however, severe withdrawal symptoms remitted more slowly in the GABA group. Results should be interpreted in light of the uncontrolled nature of group assignment and other confounders.Conclusions: Compared to symptom-triggered lorazepam dosing alone, gabapentin augmentation did not produce better outcomes during treatment of acute AWS. These results do not support the use of scheduled gabapentin as an augmentation to benzodiazepines during inpatient treatment of AWS.Item Open Access Gender-specific structural abnormalities in major depressive disorder revealed by fixel-based analysis.(NeuroImage. Clinical, 2019-01-08) Lyon, Matt; Welton, Thomas; Varda, Adrina; Maller, Jerome J; Broadhouse, Kathryn; Korgaonkar, Mayuresh S; Koslow, Stephen H; Williams, Leanne M; Gordon, Evian; Rush, A John; Grieve, Stuart MBackground
Major depressive disorder (MDD) is a chronic disease with a large global impact. There are currently no clinically useful predictors of treatment outcome, and the development of biomarkers to inform clinical treatment decisions is highly desirable.Methods
In this exploratory study we performed fixel-based analysis of diffusion MRI data from the International Study to Predict Optimized Treatment in Depression with the aim of identifying novel biomarkers at baseline that may relate to diagnosis and outcome to treatment with antidepressant medications. Analyses used MR data from individuals with MDD (n = 221) and healthy controls (n = 67).Results
We show focal, gender-specific differences in the anterior limb of the internal capsule (males) and bilaterally in the genu of the corpus callosum (females) associated with diagnosis. Lower fibre cross-section in the tapetum, the conduit between the right and left hippocampi, were also associated with a decreased probability of remission. Analysis of conventional fractional anisotropy showed scattered abnormalities in the corona radiata, cerebral peduncles and mid-brain which were much lower in total volume compared to fixel-based analysis.Conclusions
Fixel-based analysis appeared to identify different underlying abnormalities than conventional tensor-based metrics, with almost no overlap between significant regions. We show that MDD is associated with gender specific abnormalities in the genu of the corpus callosum (females) and in the anterior limb of the internal capsule (males), as well as gender-independent differences in the tapetum that predict remission. Diffusion MRI may play a key role in future guidance of clinical decision-making for MDD.Item Open Access Measurement-based care using DSM-5 for opioid use disorder: can we make opioid medication treatment more effective?(Addiction (Abingdon, England), 2019-08) Marsden, John; Tai, Betty; Ali, Robert; Hu, Lian; Rush, A John; Volkow, NoraContext and purpose
Measurement-based care (MBC) is an evidence-based health-care practice in which indicators of disease are tracked to inform clinical actions, provide feedback to patients and improve outcomes. The current opioid crisis in multiple countries provides a pressing rationale for adopting a basic MBC approach for opioid use disorder (OUD) using DSM-5 to increase treatment retention and effectiveness.Proposal
To stimulate debate, we propose a basic MBC approach using the 11 symptoms of OUD (DSM-5) to inform the delivery of medications for opioid use disorder (MOUD; including methadone, buprenorphine and naltrexone) and their evaluation in office-based primary care and specialist clinics. Key features of a basic MBC approach for OUD using DSM-5 are described, with an illustration of how clinical actions are guided and outcomes communicated. For core treatment tasks, we propose that craving and drug use response to MOUD should be assessed after 2 weeks, and OUD remission status should be evaluated at 3, 6 and 12 months (and exit from MOUD treatment) and beyond. Each of the 11 DSM-5 symptoms of OUD should be discussed with the patient to develop a case formulation and guide selection of adjunctive psychological interventions, supplemented with information on substance use, and optionally extended with information from other clinical instruments. A patient-reported outcome measure should be recorded and discussed at each remission assessment.Conclusions
MBC can be used to tailor and adapt MOUD treatment to increase engagement, retention and effectiveness. MBC practice principles can help promote patient-centred care in OUD, personalized addiction therapeutics and facilitate communication of outcomes.Item Open Access Metabolomic signature of exposure and response to citalopram/escitalopram in depressed outpatients.(Translational psychiatry, 2019-07-04) Bhattacharyya, Sudeepa; Ahmed, Ahmed T; Arnold, Matthias; Liu, Duan; Luo, Chunqiao; Zhu, Hongjie; Mahmoudiandehkordi, Siamak; Neavin, Drew; Louie, Gregory; Dunlop, Boadie W; Frye, Mark A; Wang, Liewei; Weinshilboum, Richard M; Krishnan, Ranga R; Rush, A John; Kaddurah-Daouk, RimaMetabolomics provides valuable tools for the study of drug effects, unraveling the mechanism of action and variation in response due to treatment. In this study we used electrochemistry-based targeted metabolomics to gain insights into the mechanisms of action of escitalopram/citalopram focusing on a set of 31 metabolites from neurotransmitter-related pathways. Overall, 290 unipolar patients with major depressive disorder were profiled at baseline, after 4 and 8 weeks of drug treatment. The 17-item Hamilton Depression Rating Scale (HRSD17) scores gauged depressive symptom severity. More significant metabolic changes were found after 8 weeks than 4 weeks post baseline. Within the tryptophan pathway, we noted significant reductions in serotonin (5HT) and increases in indoles that are known to be influenced by human gut microbial cometabolism. 5HT, 5-hydroxyindoleacetate (5HIAA), and the ratio of 5HIAA/5HT showed significant correlations to temporal changes in HRSD17 scores. In the tyrosine pathway, changes were observed in the end products of the catecholamines, 3-methoxy-4-hydroxyphenylethyleneglycol and vinylmandelic acid. Furthermore, two phenolic acids, 4-hydroxyphenylacetic acid and 4-hydroxybenzoic acid, produced through noncanconical pathways, were increased with drug exposure. In the purine pathway, significant reductions in hypoxanthine and xanthine levels were observed. Examination of metabolite interactions through differential partial correlation networks revealed changes in guanosine-homogentisic acid and methionine-tyrosine interactions associated with HRSD17. Genetic association studies using the ratios of these interacting pairs of metabolites highlighted two genetic loci harboring genes previously linked to depression, neurotransmission, or neurodegeneration. Overall, exposure to escitalopram/citalopram results in shifts in metabolism through noncanonical pathways, which suggest possible roles for the gut microbiome, oxidative stress, and inflammation-related mechanisms.Item Open Access Perception of Stigma and Its Associated Factors Among Patients With Major Depressive Disorder: A Multicenter Survey From an Asian Population.(Frontiers in psychiatry, 2019-01) Sun, Yan; Chen, Gang; Wang, Li; Li, Nan; Srisurapanont, Manit; Hong, Jin Pyo; Hatim, Ahmad; Chen, Chia-Hui; Udomratn, Pichet; Bae, Jae Nam; Fang, Yi-Ru; Chua, Hong Choon; Liu, Shen-Ing; George, Tom; Bautista, Dianne; Chan, Edwin; Rush, A John; Yang, Hong; Su, Yun-Ai; Si, Tian-MeiStigma of major depressive disorder (MDD) is an important public health problem. This study aimed to examine the level of perceived stigma and its associated factors in MDD patients in five Asian countries, including China, Korea, Malaysia, Singapore, and Thailand. A total of 547 outpatients with MDD were included from Asian countries. We used the stigma scale of the Explanatory Model Interview Catalogue (EMIC) to assess stigma. The Montgomery-Asberg Depression Rating Scale (MADRS), Symptoms Checklist 90-Revised (SCL-90-R), Fatigue Severity Scale (FSS), Sheehan Disability Scale (SDS), 36-Item Short-Form Health Survey (SF-36), and Multidimensional Scale of Perceived Social Support (MSPSS) were used to assess symptoms, clinical features, functional impairment, health status, and social support. The stigma scores of patients under 55 years old were significantly higher than those equal to or greater than 55 years old (P < 0.001). The stigma scores exhibited significant negative correlation with age; MSPSS scores of family, friends, and others; and SF-36 subscale of mental health, but significant positive correlation with MADRS, FSS, SDS, and SCL-90-R subscale scores of depression, interpersonal sensitivity, obsession-compulsion, psychoticism, and somatization. Multivariate regression analysis revealed that age, SCL-90-R interpersonal sensitivity, obsession-compulsion, psychoticism, MSPSS scores of friends and others, and SF-36 of mental health were significantly associated with the level of perceived stigma. These findings suggest that MDD patients who are young, have a high degree of interpersonal sensitivity and psychoticism, have low health-related quality of life, and have low social support are the target population for stigma interventions in Asia.Item Open Access Pharmacogenomics-Driven Prediction of Antidepressant Treatment Outcomes: A Machine-Learning Approach With Multi-trial Replication.(Clinical pharmacology and therapeutics, 2019-10) Athreya, Arjun P; Neavin, Drew; Carrillo-Roa, Tania; Skime, Michelle; Biernacka, Joanna; Frye, Mark A; Rush, A John; Wang, Liewei; Binder, Elisabeth B; Iyer, Ravishankar K; Weinshilboum, Richard M; Bobo, William VWe set out to determine whether machine learning-based algorithms that included functionally validated pharmacogenomic biomarkers joined with clinical measures could predict selective serotonin reuptake inhibitor (SSRI) remission/response in patients with major depressive disorder (MDD). We studied 1,030 white outpatients with MDD treated with citalopram/escitalopram in the Mayo Clinic Pharmacogenomics Research Network Antidepressant Medication Pharmacogenomic Study (PGRN-AMPS; n = 398), Sequenced Treatment Alternatives to Relieve Depression (STAR*D; n = 467), and International SSRI Pharmacogenomics Consortium (ISPC; n = 165) trials. A genomewide association study for PGRN-AMPS plasma metabolites associated with SSRI response (serotonin) and baseline MDD severity (kynurenine) identified single nucleotide polymorphisms (SNPs) in DEFB1, ERICH3, AHR, and TSPAN5 that we tested as predictors. Supervised machine-learning methods trained using SNPs and total baseline depression scores predicted remission and response at 8 weeks with area under the receiver operating curve (AUC) > 0.7 (P < 0.04) in PGRN-AMPS patients, with comparable prediction accuracies > 69% (P ≤ 0.07) in STAR*D and ISPC. These results demonstrate that machine learning can achieve accurate and, importantly, replicable prediction of SSRI therapy response using total baseline depression severity combined with pharmacogenomic biomarkers.Item Open Access Pilot Study of Metabolomic Clusters as State Markers of Major Depression and Outcomes to CBT Treatment.(Frontiers in neuroscience, 2019-01) Bhattacharyya, Sudeepa; Dunlop, Boadie W; Mahmoudiandehkordi, Siamak; Ahmed, Ahmed T; Louie, Gregory; Frye, Mark A; Weinshilboum, Richard M; Krishnan, Ranga R; Rush, A John; Mayberg, Helen S; Craighead, W Edward; Kaddurah-Daouk, RimaMajor depressive disorder (MDD) is a common and disabling syndrome with multiple etiologies that is defined by clinically elicited signs and symptoms. In hopes of developing a list of candidate biological measures that reflect and relate closely to the severity of depressive symptoms, so-called "state-dependent" biomarkers of depression, this pilot study explored the biochemical underpinnings of treatment response to cognitive behavior therapy (CBT) in medication-free MDD outpatients. Plasma samples were collected at baseline and week 12 from a subset of MDD patients (N = 26) who completed a course of CBT treatment as part of the Predictors of Remission in Depression to Individual and Combined Treatments (PReDICT) study. Targeted metabolomic profiling using the AbsoluteIDQ® p180 Kit and LC-MS identified eight "co-expressed" metabolomic modules. Of these eight, three were significantly associated with change in depressive symptoms over the course of the 12-weeks. Metabolites found to be most strongly correlated with change in depressive symptoms were branched chain amino acids, acylcarnitines, methionine sulfoxide, and α-aminoadipic acid (negative correlations with symptom change) as well as several lipids, particularly the phosphatidlylcholines (positive correlation). These results implicate disturbed bioenergetics as an important state marker in the pathobiology of MDD. Exploratory analyses contrasting remitters to CBT versus those who failed the treatment further suggest these metabolites may serve as mediators of recovery during CBT treatment. Larger studies examining metabolomic change patterns in patients treated with pharmacotherapy or psychotherapy will be necessary to elucidate the biological underpinnings of MDD and the -specific biologies of treatment response.Item Open Access Pramipexole Augmentation of Buprenorphine Improves Pain and Depression in Opioid Use Disorder: A Case Report.(The primary care companion for CNS disorders, 2020-10-15) Escalona, Rodrigo; Fawcett, Jan; Rush, A John