Approaches to denote treatment outcome: Clinical significance and clinical global impression compared

Causal network localization of brain stimulation targets for trait anxiety

Transcranial magnetic stimulation (TMS) and deep brain stimulation (DBS) can treat some neuropsychiatric disorders, but there is no consensus approach for identifying new targets. We localized causal circuit-based targets for anxiety that converged across multiple natural experiments. Lesions (n=451) and TMS sites (n=111) that modify anxiety mapped to a common normative brain circuit (r=0.68, p=0.01). In an independent dataset (n=300), individualized TMS site connectivity to this circuit predicted anxiety change (p=0.02). Subthalamic DBS sites overlapping the circuit caused more anxiety (n=74, p=0.006), thus demonstrating a network-level effect, as the circuit was derived without any subthalamic sites. The circuit was specific to trait versus state anxiety in datasets that measured both (p=0.003). Broadly, this illustrates a pathway for discovering novel circuit-based targets across neuropsychiatric disorders.

The polymorphisms of candidate pharmacokinetic and pharmacodynamic genes and their pharmacogenetic impacts on the effectiveness of risperidone maintenance therapy among Saudi children with autism

BACKGROUND

Antipsychotics, including risperidone (RIS), are frequently indicated for various autism spectrum disorder (ASD) manifestations; however, "actionable" PGx testing in psychiatry regarding antipsychotic dosing and selection has limited applications in routine clinical practice because of the lack of standard guidelines, mostly due to the inconsistency and scarcity of genetic variant data. The current study is aimed at examining the association of RIS effectiveness, according to ABC-CV and CGI indexes, with relevant pharmacokinetics (PK) and pharmacodynamics (PD) genes.

METHODS

Eighty-nine ASD children who received a consistent RIS-based regimen for at least 8 weeks were included. The Axiom PharmacoFocus Array technique was employed to generate accurate star allele-predicted phenotypes of 3 PK genes (CYP3A4, CYP3A5, and CYP2D6). Genotype calls for 5 candidate PD receptor genes (DRD1, DRD2, DRD3, HTR2C, and HTR2A) were obtained and reported as wild type, heterozygous, or homozygous for 11 variants.

RESULTS

Based on the ABC total score, 42 (47.2%) children were classified as responders, while 47 (52.8%) were classified as nonresponders. Multivariate logistic regression analyses, adjusted for nongenetic factors, suggested nonsignificant impacts of the star allele-predicted phenotypes of all 3 PK genes on improvement in ASD symptoms or CGI scores. However, significant positive or negative associations of certain PD variants involved in dopaminergic and serotonergic pathways were observed with specific ASD core and noncore symptom subdomains. Our significant polymorphism findings, mainly those in DRD2 (rs1800497, rs1799978, and rs2734841), HTR2C (rs3813929), and HTR2A (rs6311), were largely consistent with earlier findings (predictors of RIS effectiveness in adult schizophrenia patients), confirming their validity for identifying ASD children with a greater likelihood of core symptom improvement compared to noncarriers/wild types. Other novel findings of this study, such as significant improvements in DRD3 rs167771 carriers, particularly in ABC total and lethargy/social withdrawal scores, and DRD1 rs1875964 homozygotes and DRD2 rs1079598 wild types in stereotypic behavior, warrant further verification in biochemical and clinical studies to confirm their feasibility for inclusion in a PGx panel.

CONCLUSION

In conclusion, we provide evidence of potential genetic markers involved in clinical response variability to RIS therapy in ASD children. However, replication in prospective samples with greater ethnic diversity and sample sizes is necessary.

Norms and T-scores for screeners of alcohol use, depression and anxiety in the population of Suriname

Background

There is a considerable gap between care provision and the demand for care for common mental disorders in low-and-middle-income countries. Screening for these disorders, e.g., in primary care, will help to close this gap. However, appropriate norms and threshold values for screeners of common mental disorders are lacking.

Methods

In a survey study, we gathered data on frequently used screeners for alcohol use disorders, (AUDIT), depression, (CES-D), and anxiety disorders (GAD-7, ACQ, and BSQ) in a representative sample from Suriname, a non-Latin American Caribbean country. A stratified sampling method was used by random selection of 2,863 respondents from 5 rural and 12 urban resorts. We established descriptive statistics of all scale scores and investigated unidimensionality. Furthermore, we compared scores by gender, age-group, and education level with t-test and Mann-Whitney U tests, using a significance level of p < 0.05.

Results

Norms and crosswalk tables were established for the conversion of raw scores into a common metric: T-scores. Furthermore, recommended cut-off values on the T-score metric for severity levels were compared with international cut-off values for raw scores on these screeners.

Discussion

The appropriateness of these cut-offs and the value of converting raw scores into T-scores are discussed. Cut-off values help with screening and early detection of those who are likely to have a common mental health disorder and may require treatment. Conversion of raw scores to a common metric in this study facilitates the interpretation of questionnaire results for clinicians and can improve health care provision through measurement-based care.

A Common Measurement Scale for Self-Report Instruments in Mental Health Care

Abstract. The diversity of measures in clinical psychology hampers a straightforward interpretation of test results, complicates communication with the patient, and constitutes a challenge to the implementation of measurement-based care. In educational research and assessment, it is common practice to convert test scores to a common metric, such as T scores. We recommend applying this also in clinical psychology and propose and test a procedure to arrive at T scores approximating a normal distribution that can be applied to individual test scores. We established formulas to estimate normalized T scores from raw scale scores by regressing IRT-based θ scores on raw scores. With data from a large population and clinical samples, we established crosswalk formulas. Their validity was investigated by comparing calculated T scores with IRT-based T scores. IRT and formulas yielded very similar T scores, supporting the validity of the latter approach. Theoretical and practical advantages and disadvantages of both approaches to convert scores to common metrics and alternative approaches are discussed. Provided that scale characteristics allow for their computation, T scores will help to better understand measurement results, which makes it easier for patients and practitioners to use test results in joint decision-making about the course of treatment.

Internet-based emotion-regulation training added to CBT in adolescents with depressive and anxiety disorders: A pilot randomized controlled trial to examine feasibility, acceptability, and preliminary effectiveness

BACKGROUND

Dysfunctional emotion regulation (ER) is associated with symptoms of depression and anxiety in adolescents. This pilot study aimed to examine the acceptability and feasibility of a guided internet-based emotion regulation training (ERT) added to cognitive behavioral therapy (CBT). Furthermore, we aimed to examine the feasibility of the randomized study design and to provide a first estimate of the effectiveness of CBT + ERT compared with CBT alone in adolescents with depressive or anxiety disorders.

METHODS

In a pilot randomized controlled trial (RCT) with a parallel group design, 39 patients (13-18 years) with depressive or anxiety disorder were assigned to CBT + ERT (n = 21) or CBT (n = 18). Assessments at baseline, three-months and six-months follow-up included treatment adherence, satisfaction, depressive symptoms, anxiety symptoms, and ER strategies.

RESULTS

Adherence to ERT was 66.5 %, and treatment satisfaction was adequate. 76.5 % of eligible patients participated in the study. Linear mixed-model analyses showed significantly reduced anxiety symptoms (p = .003), depressive symptoms (p = .017), and maladaptive ER (p = .014), and enhanced adaptive ER (p = .008) at six months follow-up in the CBT + ERT group compared to controls.

LIMITATIONS

The sample size was small, and results regarding effectiveness remain preliminary. Data-collection took place during COVID-19, which may have influenced the results.

CONCLUSIONS

Both the intervention and the study design were found to be feasible. In a larger RCT, however, improvement of recruitment strategy is necessary. Preliminary results indicate potential effectiveness in decreasing anxiety, depression, and emotion dysregulation in adolescents. The next step should be the development of an improved internet-based ERT and its evaluation in a larger RCT.

TRIAL REGISTRATION

Registered on January 14th, 2020 in The Netherlands Trial Register (NL8304).

Adapting the multilevel model for estimation of the reliable change index (RCI) with multiple timepoints and multiple sources of error

OBJECTIVE

One of the primary tools in the assessment of individual-level patient outcomes is Jacobson and Truax, (1991's) Reliable Change Index (RCI). Recent efforts to optimize the RCI have revolved around three issues: (a) extending the RCI beyond two timepoints, (b) estimating the RCI using scale scores from item response theory or factor analysis and (c) estimation of person- and time-specific standard errors of measurement.

METHOD

We present an adaptation of a two-stage procedure, a measurement error-corrected multilevel model, as a tool for RCI estimation (with accompanying Statistical Analysis System syntax). Using DASS-21 data from a community-based mental health center (N = 379), we illustrate the potential for the model as unifying framework for simultaneously addressing all three limitations in modeling individual-level RCI estimates.

RESULTS

Compared to the optimal-fitting RCI model (moderated nonlinear factor analysis scoring with measurement error correction), an RCI model that uses DASS-21 total scores produced errors in RCI inferences in 50.8% of patients; this was largely driven by overestimation of the proportion of patients with statistically significant improvement.

CONCLUSION

Estimation of the RCI can now be enhanced by the use of latent variables, person- and time-specific measurement errors, and multiple timepoints.

A Characterization of the Clinical Global Impression Scale Thresholds in the Treatment of Adolescent Depression Across Multiple Rating Scales

Introduction: The Clinical Global Impressions-Improvement (CGI-I) scale is widely used in clinical research to assess symptoms and functioning in the context of treatment. The correlates of the CGI-I with efficacy scales for adolescent major depressive disorder are poorly understood. This study focused on benchmarking CGI-I scores with changes in the Children's Depression Rating Scale-Revised (CDRS-R) and the Quick Inventory of Depressive Symptomatology-Adolescent (17-item) Self-Report (QIDS-A17-SR). Methods: We examined three datasets with the clinician-rated CDRS-R to ascertain equivalent percent changes in total scores and CGI-I ratings. Exploratory analyses examined corresponding percentage changes in the QIDS-A17-SR and the CGI-I ratings. The CGI-I was the reference scale for nonparametric equipercentile linking with the Equate package in R. Results: CGI-I scores of 1 mapped to ≥78%-95% change in CDRS-R scores at 4-6 weeks across three datasets. CGI-I scores of 2 mapped to 56%-94% change in CDRS-R scores at 4-6 weeks across three studies. CGI-I scores of 3 mapped to 30%-68% changes in CDRS-R scores at 4-6 weeks across three studies. CGI-I scores of 4 mapped to a range of 29%-44% at 4-6 weeks across three studies. There was no significant difference (p ≥ 0.6) between treatment groups in both the Treatment of Adolescents with Depression and Treatment of Resistant Depression in Adolescents studies, for each CGI-I score ( = 1, or = 2 or = 3, or ≥4), associated mapping of total depression severity score, or associated percent change from baseline for corresponding follow-up visits. There was no significant sex difference (p > 0.2) in CGI-I linkages to CDRS-R total or percentage changes. Conclusions: These findings establish clear relationships among CGI-I scores and the CDRS-R and the QIDS-A17-SR. These benchmarks have utility for clinical trial study design, inter-rater reliability training, and clinical implementation.

Impact of COVID‐19 social distancing measures on routine mental health care provision and treatment outcome for common mental disorders in the Netherlands

Objective

The uptake of digital interventions in mental health care (MHC) has been slow, as many therapists and patients believe that in‐person contact is essential for establishing a good working relationship and good outcomes in treatment. The public health policies regarding social distancing during the coronavirus disease‐2019 (COVID‐19) pandemic forced an abrupt transformation of MHC provisions for outpatients: Since mid‐March 2020, nearly all in‐person contact was replaced with videoconferencing. The COVID‐19 crisis offered a unique opportunity to investigate whether MHC with videoconferencing yields inferior results as compared to in‐person interventions.

Method

In a large urban MHC facility in the Netherlands, measurement‐based care is routine practice. Outcome data are regularly collected to support shared decision making and monitor patient progress. For this study, pretest and post‐test data were used to compare outcomes for three cohorts: treatments performed prior to, partially during and entirely during the COVID‐19 lockdown. Outcomes were compared in two large data sets: Basic MHC (N = 1392) and Specialized MHC (N = 1040).

Results

Therapeutic outcomes appeared robust for COVID‐19 conditions across the three cohorts: No differences in outcomes were found between treatments that were conducted during lockdown compared to in‐person treatments prior to COVID‐19, or treatments which started in‐person, but needed to be continued by means of videoconferencing.

Discussion

Videoconferencing care during the COVID‐19 pandemic had similar outcomes compared to traditional in‐person care. These real‐world results corroborate findings of previous randomized controlled studies and meta‐analyses in which videoconferencing and in‐person care has been directly compared in terms of clinical effectiveness.

Common measures or common metrics? A plea to harmonize measurement results

OBJECTIVE

There is a great variety of measurement instruments to assess similar constructs in clinical research and practice. This complicates the interpretation of test results and hampers the implementation of measurement-based care.

METHOD

For reporting and discussing test results with patients, we suggest converting test results into universally applicable common metrics. Two well-established metrics are reviewed: T scores and percentile ranks. Their calculation is explained, their merits and drawbacks are discussed, and recommendations for the most convenient reference group are provided.

RESULTS

We propose to express test results as T scores with the general population as reference group. To elucidate test results to patients, T scores may be supplemented with percentile ranks, based on data from a clinical sample. The practical benefits are demonstrated using the published data of four frequently used instruments for measuring depression: the CES-D, PHQ-9, BDI-II and the PROMIS depression measure.

DISCUSSION

Recent initiatives have proposed to mandate a limited set of outcome measures to harmonize clinical measurement. However, the selected instruments are not without flaws and, potentially, this directive may hamper future instrument development. We recommend using common metrics as an alternative approach to harmonize test results in clinical practice, as this will facilitate the integration of measures in day-to-day practice.

Individually tailored Internet-delivered cognitive-behavioral therapy for survivors of intimate partner violence: A randomized controlled pilot trial

Intimate partner violence (IPV) is a serious public health concern worldwide and defined as behavior performed by spouses or other intimate partners that causes physical, sexual, or psychological harm. Internet-delivered cognitive-behavioral therapy (ICBT) may be particularly useful for survivors of IPV for several reasons, including barriers pertaining to limited community recourses and treatment availability, safety concerns, and issues of stigma, guilt and shame, which may prevent members of this population from seeking help via face-to-face interactions. However, Internet interventions are lacking. The primary aim of the present randomized controlled pilot trial was to explore the feasibility of ICBT as guided self-help individually tailored to the predominant symptomatology of PTSD or depression in survivors of IPV. A second aim was to conduct a preliminary evaluation exploring the short- and long-term effects of the treatment in comparison to a waitlist control condition. Results showed that the treatment was feasible. Attrition rate was low (9.4%), and participants were satisfied with treatment. However, treatment adherence was moderate in terms of completed modules (62.5%). Results of the preliminary evaluation of treatment effects showed large and statistically significant between-group effect sizes (Cohen's d = 0.86-1.08) on some measures of PTSD and depression at post assessment, favoring the treatment condition. However, there were no effects on other measures. At follow-up assessment, when the control condition had received delayed treatment, there were large and statistically significant within-group effect sizes (d = 0.96-1.48) on measures of PTSD, depression and anxiety, and small effects (d = 0.48) on a measure of quality of life. The results of the present pilot study are promising and warrant further research on ICBT for this population.

Efficacy and Safety of tDCS and tACS in Treatment of Major Depressive Disorder: A Randomized, Double-Blind, Factorial Placebo-Controlled Study Design

BACKGROUND

Transcranial direct current stimulation (tDCS) and transcranial alternating current stimulation (tACS) are regarded as promising antidepressant treatments.

OBJECTIVE

To compare the efficacy and safety of tDCS, tACS, escitalopram, and placebo/sham stimulation controls.

DESIGN

Randomized, parallel, double-blind, placebo-controlled study.

METHODS

Sample sizes were calculated based on data from previous similar studies. Eligible non-treatment-resistant-depressive outpatient subjects with moderate-to-severe depression (HRDS ≥17) are randomized to receive (1) tDCS + placebo; (2) tACS + placebo; (3) escitalopram + placebo; or (4) sham stimulation + placebo. The intensity of electricity is 2 mA, lasting for 30 minutes over two consecutive working days (10 sessions in total). The medication lasts for 6 weeks. The primary outcome measure was the response rates within 6 weeks (week 6 is also the endpoint of the study), and secondary outcome measures included changes in other clinical measurements. Safety and acceptability are measured by adverse event rates and dropout rates. Exploring outcome consist of the performance of cognitive battery as well as neurophysiology results.

CONCLUSION

To the best of our knowledge, the present study is the first double-blind controlled study comparing tDCS, tACS, and clinically used antidepressants, which will provide further evidence for their efficacy and safety in possible clinical applications.

Approaches to denote treatment outcome: Clinical significance and clinical global impression compared

OBJECTIVES

The authors of a previous study proposed a statistically based approach to denote treatment outcome, translating pretest and posttest scores into clinically relevant categories, such as recovery and reliable improvement. We assessed the convergent validity of the Jacobson-Truax (JT) approach, using T-score based cutoff values, with ratings by an independent evaluator.

METHODS

Pretest and retest scores on the Brief Symptom Inventory (BSI) and clinical global impression improvement (CGI-I) ratings were collected repeatedly through routine outcome monitoring from 5,900 outpatients with common mental disorders. Data were collected in everyday practice in a large mental health care provider.

RESULTS

Continuous pretest-to-retest BSI change scores had a stronger association with CGI-I than the categorical variable based on JT. However, JT categorization and improvement according to CGI converged substantially with association indices (Somers' D) ranging from D = .50 to .56. Discordance was predominantly due to a more positive outcome according to JT than on CGI-I ratings.

CONCLUSION

Converting continuous outcome variables into clinically meaningful categories comes at the price of somewhat diminished concurrent validity with CGI-I. Nevertheless, support was found for the proposed threshold values for reliable change and recovery, and the outcome denoted in these terms corresponded with CGI improvement for most patients.