The Effect of Meditation, Mindfulness, and Yoga in Patients with Rheumatoid Arthritis.

OBJECTIVES: Mind-body therapies (MBTs), including meditation, yoga, and mindfulness, create an interaction between the mind and body to enhance health. MBTs are perceived by both patients and healthcare professionals as valuable in the management of rheumatoid arthritis (RA), but the extent of this contribution is unclear, as are the patient subgroups who benefit most from MBTs. Therefore, this systematic literature review investigates the effects of meditation, mindfulness, and yoga in patients with RA. METHODS: We searched four databases (PubMed, Embase, Web of Science (core collection, Chinese and Korean collection), and CINAHL). All studies were screened by two independent reviewers via the title/abstract/full text. The studies included any form of meditation/mindfulness/yoga as an intervention for RA. Animal studies, case reports, non-English articles, qualitative studies, conference abstracts, and articles without full-text access were excluded. Each study was assessed for its quality. RESULTS: Out of 1527 potentially eligible records, 23 studies were included. All three MBTs showed various effects on patient-reported outcomes, such as vitality, functioning, and mental health, as well as on disease activity markers. Mindfulness-based interventions mainly reduced the subjective disease activity parameters (e.g., joint tenderness, morning stiffness, and pain), rather than the objective disease activity parameters (e.g., swollen joints and C-reactive protein (CRP)). RA patients with recurrent depression may benefit more from these non-pharmacological therapies than patients without recurrent depression. DISCUSSION: This systematic literature review found that MBTs show added value in RA management, especially for patients with depressive symptoms. These non-pharmacological approaches, when used in addition to medication, might diminish polypharmacy in specific RA patient populations. Lay Summary: In recent decades, more attention has been given to the management of rheumatoid arthritis (RA) with options other than solely using medication. Such alternative options for patients to increase their quality of life are, for instance, meditation, yoga, and mindfulness. These examples of mind-body therapies (MBTs) are techniques that create an interaction between the mind and the bodily functions in order to obtain relaxation and enhance overall health. Although it is believed that these mind-body techniques are valuable in the management of RA, the extent of their contribution is still unclear, as is the question of if certain subgroups of patients benefit more from these complementary therapies. This systematic literature review investigated the effects of meditation, mindfulness, and yoga in patients with rheumatoid arthritis. A literature search was systematically performed within four different scientific databases by two independent reviewers. Out of 1527 potentially eligible articles, 23 studies were included. All three MBTs showed beneficial effects, which were mostly on the vitality, functioning, and mental health of patients with RA, but also on symptoms related to disease activity. RA patients with recurrent depression seemed to benefit more from these non-pharmacological therapies than patients without recurrent depression. Hence, we can conclude that MBTs show added value in the management of RA.

Association of Cohort and Individual Substance Use With Risk of Transitioning to Drug Use, Drug Use Disorder, and Remission From Disorder: Findings From the World Mental Health Surveys.

Importance: Limited empirical research has examined the extent to which cohort-level prevalence of substance use is associated with the onset of drug use and transitioning into greater involvement with drug use. Objective: To use cross-national data to examine time-space variation in cohort-level drug use to assess its associations with onset and transitions across stages of drug use, abuse, dependence, and remission. Design, Setting, and Participants: The World Health Organization World Mental Health Surveys carried out cross-sectional general population surveys in 25 countries using a consistent research protocol and assessment instrument. Adults from representative household samples were interviewed face-to-face in the community in relation to drug use disorders. The surveys were conducted between 2001 and 2015. Data analysis was performed from July 2017 to July 2018. Main Outcomes and Measures: Data on timing of onset of lifetime drug use, DSM-IV drug use disorders, and remission from these disorders was assessed using the Composite International Diagnostic Interview. Associations of cohort-level alcohol prevalence and drug use prevalence were examined as factors associated with these transitions. Results: Among the 90 027 respondents (48.1% [SE, 0.2%] men; mean [SE] age, 42.1 [0.1] years), 1 in 4 (24.8% [SE, 0.2%]) reported either illicit drug use or extramedical use of prescription drugs at some point in their lifetime, but with substantial time-space variation in this prevalence. Among users, 9.1% (SE, 0.2%) met lifetime criteria for abuse, and 5.0% (SE, 0.2%) met criteria for dependence. Individuals who used 2 or more drugs had an increased risk of both abuse (odds ratio, 5.17 [95% CI, 4.66-5.73]; P < .001) and dependence (odds ratio, 5.99 [95% CI, 5.02-7.16]; P < .001) and reduced probability of remission from abuse (odds ratio, 0.86 [95% CI, 0.76-0.98]; P = .02). Birth cohort prevalence of drug use was also significantly associated with both initiation and illicit drug use transitions; for example, after controlling for individuals' experience of substance use and demographics, for each additional 10% of an individual's cohort using alcohol, a person's odds of initiating drug use increased by 28% (odds ratio, 1.28 [95% CI, 1.26-1.31]). Each 10% increase in a cohort's use of drug increased individual risk by 12% (1.12 [95% CI, 1.11-1.14]). Conclusions and Relevance: Birth cohort substance use is associated with drug use involvement beyond the outcomes of individual histories of alcohol and other drug use. This has important implications for understanding pathways into and out of problematic drug use.

Difficult-to-treat depression: A clinical and research roadmap for when remission is elusive.

OBJECTIVES: The report considers the pros and cons of the most commonly used conceptual model that forms the basis for most clinical practice guidelines for depression. This model promotes the attainment of sustained symptom remission as the treatment goal based on its well-established prognostic and functional importance. Sustained remission is very unlikely, however, after multiple treatment attempts. Our current model propels many clinicians to continue to change or add treatments despite little chance for remission or full functional restoration and despite the increasing risk of more adverse events from polypharmacy. An alternative 'difficult-to-treat depression' model is presented and considered. It accepts that the treatment aims for some depressed patients may shift to optimal symptom control rather than remission. When difficult-to-treat depression is suspected, the many treatable causes of persistent depression must be assessed and addressed (given the importance of remission when attainable) before difficult-to-treat depression can be ascribed. The clinical and research implications of the difficult-to-treat depression model are discussed. CONCLUSION: Suspected difficult-to-treat depression provides a practical basis for considering when to conduct a comprehensive evaluation. Once difficult-to-treat depression is confirmed, treatment may better focus on optimal disease management (symptom control and functional improvement).

Prediction of major depressive disorder onset in college students.

BACKGROUND: Major depressive disorder (MDD) in college students is associated with substantial burden. AIMS: To assess 1-year incidence of MDD among incoming freshmen and predictors of MDD-incidence in a representative sample of students. METHOD: Prospective cohort study of first-year college students (baseline: n = 2,519, 1-year follow-up: n = 958) RESULTS: The incidence of MDD within the first year of college was 6.9% (SE = 0.8). The most important individual-level predictors of onset were prior suicide plans and/or attempts (OR = 9.5). The strongest population-level baseline predictors were history of childhood-adolescent trauma, stressful experience in the past 12 months, parental psychopathology, and other 12-month mental disorder. Multivariate cross-validated prediction (cross-validated AUC = 0.73) suggest that 36.1% of incident MDD cases in a replication sample would occur among the 10% of students at highest predicted risk (24.5% predicted incidence in this highest-risk subgroup). CONCLUSIONS: Screening at college entrance is a promising strategy to identify students at risk of MDD onset, which may improve the development and deployment of targeted preventive interventions.

Cost-effectiveness analysis of pharmaceutical treatment options in the first-line management of major depressive disorder in Belgium.

OBJECTIVE: The objective of this study was to assess the cost effectiveness of commonly used antidepressants as first-line treatment of major depressive disorder (MDD) in Belgium. METHODS: The model structure was based on a decision tree developed by the Swedish TLV (Tandvårds- och läkemedelsförmånsverket) and adapted to the Belgium healthcare setting, using primary local data on the patterns of treatment and following KCE [Federal Knowledge Center (Federaal Kenniscentrum voor de Gezondheidszorg)] recommendations. Comparators were escitalopram, citalopram, fluoxetine, paroxetine, sertraline, duloxetine, venlafaxine, and mirtazapine. In the model, patients not achieving remission or relapsing after remission on the assessed treatment moved to a second therapeutic step (titration, switch, add-on, or transfer to a specialist). In case of failure in the second step or following a suicide attempt, patients were assumed to be referred to secondary care. The time horizon was 1 year and the analysis was conducted from the National Institute for Health and Disability Insurance (NIHDI; national health insurance) and societal perspectives. Remission rates were obtained from the TLV network meta-analysis and risk of relapse, efficacy following therapeutic change, risk of suicide attempts and related death, utilities, costs (2012), and resources were derived from the published literature and expert opinion. The effect of uncertainty in model parameters was estimated through scenario analyses and a probabilistic sensitivity analysis (PSA). RESULTS: In the base-case analysis, escitalopram was identified as the optimal strategy: it dominated all other treatments except venlafaxine from the NIHDI perspective, against which it was cost effective with an incremental cost-effectiveness ratio of 6,352 per quality-adjusted life-year (QALY). Escitalopram also dominated all other treatments from the societal perspective. At a threshold of 30,000 per QALY and from the NIHDI perspective, the PSA showed that the probability of escitalopram being identified as the optimal strategy ranged from 61 % (vs. venlafaxine) to 100 % (vs. fluoxetine). CONCLUSION: Escitalopram was associated with the highest probability of being the optimal treatment from the NIHDI and societal perspectives. This analysis, based on new Belgian clinical practice data and following KCE requirements, provides additional information that may be used to guide the choice of treatments in the management of MDD in Belgium.

Quality of life measurement in antidepressant trials. Is there an added value?

BACKGROUND: Quality of life (QoL) measurement in medicine has gone a long way. It has gained popularity as a more humanitarian outcome measurement. In this paper, a review is given of its historical backgrounds with a special focus on the use of QoL assessment in psychiatry. Different theoretical concepts are discussed. A closer look is taken at the use of QoL measurements in antidepressant trials. METHODS: An analysis was performed on the use of QoL measurement in recent antidepressant trials of duloxetine and escitalopram. RESULTS: QoL measurement was found to have abandoned its initial purposes, and to have been used without any theoretical framework. CONCLUSIONS: Although frequently used in antidepressant trials, the analysis and reporting of results is virtually non-existent. It remains unclear if QoL measurement, as currently used, gives any information that is not already captured by more formal depression rating scales. The question then remains whether QoL measurement in antidepressant trials has any added value and, if so, whether this is just a story of missed opportunities.

Prescribing patterns of antidepressants in Europe: results from the Factors Influencing Depression Endpoints Research (FINDER) study.

Antidepressant prescribing patterns and factors influencing the choice of antidepressant for the treatment of depression were examined in the Factors Influencing Depression Endpoints Research (FINDER) study, a prospective, observational study in 12 European countries of 3468 adults about to start antidepressant medication for their first episode of depression or a new episode of recurrent depression. Selective serotonin reuptake inhibitors (SSRIs) were the most commonly prescribed antidepressant (63.3% patients), followed by serotonin-norepinephrine reuptake inhibitors (SNRIs, 13.6%), but there was considerable variation across countries. Notably, tricyclic and tetracyclic antidepressants (TCAs) were prescribed for 26.5% patients in Germany. The choice of the antidepressant prescribed was strongly influenced by the previous use of antidepressants, which was significantly associated with the prescription of a SSRI (OR 0.64; 95% CI 0.54, 0.76), a SNRI (OR 1.49; 95% CI 1.18, 1.88) or a combination of antidepressants (OR 2.78; 95% CI 1.96, 3.96). Physician factors (age, gender, speciality) and patient factors (severity of depression, age, education, smoking, number of current physical conditions and functional syndromes) were associated with initial antidepressant choice in some models. In conclusion, the prescribing of antidepressants varies by country, and the type of antidepressant chosen is influenced by physician- as well as patient-related factors.