The Quick Inventory of Depressive Symptomatology-Self-report: a psychometric evaluation in patients with asthma and major depressive disorder

Patient-Reported Outcome Measures in Patients with Thrombotic Thrombocytopenic Purpura: A Systematic Review of the Literature

Health-related quality of life (HRQoL) impacts of thrombotic thrombocytopenic purpura (TTP) have been captured in clinical studies using patient-reported outcome (PRO) measures (PROMs) that are validated for other diseases. However, the validity evidence to support the use of existing PROMs in patients with TTP is unknown. In a systematic review of the literature, including studies of adults and children with TTP, we assessed the validity evidence for use of PROMs in clinical research and clinical practice, characterized HRQoL, described the integration of PROMs in clinical practice and evaluated PRO scores for patients with TTP compared with reference populations. From an initial 4518 studies, we identified 14 studies using 16 PROMs to assess general HRQoL domains in patients in remission. No identified studies assessed the validity of PROMs for the context of use of TTP and no studies described PROM integration into TTP clinical practice or evaluated PROMs that were specific for patients with TTP. Moreover, PRO scores were worse in patients with TTP compared with reference populations and other chronic conditions. We conclude that, in patients with TTP, PROMs pick up on important patient experiences not captured by clinical outcomes at present. There is, therefore, a need for studies that assess the validity of existing PROMs in patients with TTP to determine if TTP-specific PROMs specific to patients with TTP should be developed.

Rasch analyses of the Quick Inventory of Depressive Symptomatology Self-Report in neurodegenerative and major depressive disorders

Background

Symptoms of depression are present in neurodegenerative disorders (ND). It is important that depression-related symptoms be adequately screened and monitored in persons living with ND. The Quick Inventory of Depressive Symptomatology Self-Report (QIDS-SR) is a widely-used self-report measure to assess and monitor depressive severity across different patient populations. However, the measurement properties of the QIDS-SR have not been assessed in ND.

Aim

To use Rasch Measurement Theory to assess the measurement properties of the Quick Inventory of Depressive Symptomatology Self-Report (QIDS-SR) in ND and in comparison to major depressive disorder (MDD).

Methods

De-identified data from the Ontario Neurodegenerative Disease Research Initiative (NCT04104373) and Canadian Biomarker Integration Network in Depression (NCT01655706) were used in the analyses. Five hundred and twenty participants with ND (Alzheimer's disease or mild cognitive impairment, amyotrophic lateral sclerosis, cerebrovascular disease, frontotemporal dementia and Parkinson's disease) and 117 participants with major depressive disorder (MDD) were administered the QIDS-SR. Rasch Measurement Theory was used to assess measurement properties of the QIDS-SR, including unidimensionality and item-level fit, category ordering, item targeting, person separation index and reliability and differential item functioning.

Results

The QIDS-SR fit well to the Rasch model in ND and MDD, including unidimensionality, satisfactory category ordering and goodness-of-fit. Item-person measures (Wright maps) showed gaps in item difficulties, suggesting poor precision for persons falling between those severity levels. Differences between mean person and item measures in the ND cohort logits suggest that QIDS-SR items target more severe depression than experienced by the ND cohort. Some items showed differential item functioning between cohorts.

Conclusion

The present study supports the use of the QIDS-SR in MDD and suggest that the QIDS-SR can be also used to screen for depressive symptoms in persons with ND. However, gaps in item targeting were noted that suggests that the QIDS-SR cannot differentiate participants falling within certain severity levels. Future studies would benefit from examination in a more severely depressed ND cohort, including those with diagnosed clinical depression.

Assessment of Psilocybin Therapy for Patients With Cancer and Major Depression Disorder

This nonrandomized controlled trial used a 1-to-1 therapist-to-patient ratio to administer psilocybin to groups of patients with cancer who were diagnosed with major depression disorder to create a scalable, rapidly effective depression treatment.

Weekly telephone mood monitoring is associated with decreased suicidality and improved sleep quality in a clinical sample

Sleep disturbances and suicidality are common presentations of mood and anxiety disorders. If not closely monitored post-discharge, patients may be at an increased risk of symptom worsening and completed suicide. We explored the associations between telephone mood monitoring, suicidality, and sleep quality in a clinical sample. Fifty inpatients (mean age = 39.49, SD = 11.17; female = 74%) with a mood and/or anxiety disorder were telephonically monitored weekly post-discharge for16 weeks for depression and mania. Suicidality and sleep quality were assessed at intake (pre-discharge), and at weeks 4, 8, 12, and 16 post-discharge. ANOVA indicated that suicidality significantly decreased, and sleep quality improved over 16 weeks. Linear regression analysis indicated that depression severity at week 1 post-discharge significantly predicted suicidality and sleep quality at week 16. Mania severity at week 1 post-discharge predicted sleep quality, but not suicidality, at week 16. Participants generally had positive experiences of the monitoring and perceived it as helpful. Monitoring of mood state, suicidality, and sleep quality post-discharge may allow for early detection of relapse when initiated at 1-week post-discharge. This is a potentially cost-effective intervention and may relieve the burden on the mental healthcare system, especially when face-to-face consultations are not possible.

Transgender and Gender Diverse Patients in Intensive Mood Disorder Treatment: A Comparative Examination of Clinical Presentation and Treatment Outcomes

Individuals who are transgender and gender diverse (TGD) are more likely to suffer from and to seek mental health services for mood disorders. Some literature suggests that TGD individuals, because of pervasive and systemic minority stress, may have more complex clinical presentations (i.e., psychiatric conditions and severity of symptoms) and may benefit from empirically based treatments to a lesser degree than their cisgender peers. However, research has yet to examine individuals who are TGD receiving treatment in specialized, intensive mood disorder treatment despite the propensity for them to be diagnosed with and treated for mood disorders. Using a sample of 1,326 adult patients in intensive mood disorder treatment (3.8% TGD), the clinical presentation and treatment outcomes were compared between patients who are TGD and cisgender. Contrary to previous research, TGD patients were largely similar if not healthier than their cisgender counterparts, including similar depression severity, quality of life, emotion dysregulation, and behavioral activation, and less severe rumination at admission. Despite similar to better reported mental health symptoms, TGD patients were diagnosed with more psychiatric conditions overall, including greater prevalence of social anxiety and neurodevelopmental diagnoses. Those who are TGD did not experience attenuated treatment response as predicted. Findings suggest that patients in intensive mood disorder treatment who are TGD may be more resilient than previously assumed, or supports may have increased to buffer effects of stigma on mental health, and emphasize the need to exercise discretion and sensitivity in diagnostic practices to prevent over-diagnosis and pathologizing of TGD individuals.

Increased cannabis intake during the COVID-19 pandemic is associated with worsening of depression symptoms in people with PTSD

BACKGROUND

Some evidence suggests substance use affects clinical outcomes in people with posttraumatic stress disorder (PTSD). However, more work is required to examine links between mental health and cannabis use in PTSD during exposure to external stressors such as the COVID-19 pandemic. This study assessed mental health factors in individuals with self-reported PTSD to: (a) determine whether stress, anxiety, and depression symptoms were associated with changes in cannabis consumption across the pandemic, and (b) to contrast the degree to which clinically significant perceived symptom worsening was associated with changes in cannabis intake.

METHOD

Data were obtained as part of a larger web-based population survey from April 3rd to June 24th 2020 (i.e., first wave of the pandemic in Canada). Participants (N = 462) with self-reported PTSD completed questionnaires to assess mental health symptoms and answered questions pertaining to their cannabis intake. Participants were categorized according to whether they were using cannabis or not, and if using, whether their use frequency increased, decreased, or remained unchanged during the pandemic.

RESULTS

Findings indicated an overall perceived worsening of stress, anxiety, and depression symptoms across all groups. A higher-than-expected proportion of individuals who increased their cannabis consumption reached threshold for minimal clinically important worsening of depression, X²(3) = 10.795, p = 0.013 (Cramer's V = 0.166).

CONCLUSION

Overall, those who increased cannabis use during the pandemic were more prone to undergo meaningful perceived worsening of depression symptoms. Prospective investigations will be critical next steps to determine the directionality of the relationship between cannabis and depressive symptoms.

Psychiatric symptoms are not associated with circulating CRP concentrations after controlling for medical, social, and demographic factors

Elevated serum concentrations (>3 mg/L) of the acute-phase protein, C-reactive protein (CRP), is used as a clinical marker of inflammation and is reported to be a strong risk factor for cardiovascular disease. In psychiatric populations, CRP concentration is reported to be higher in depressed versus healthy individuals. Positive associations between CRP and depression have been established in both clinical and community samples, but effect sizes are attenuated after controlling for confounding variables. Similarly, emerging research has begun to draw a link between inflammation, symptoms of anxiety, and substance abuse. Given the high level of comorbid anxiety and substance use disorders in many depressed populations, this study examined whether depression (Patient Health Questionnaire 9 [PHQ-9]) and substance use-related (Drug Abuse Screening Test [DAST]) symptoms were associated with CRP concentrations in the blood after adjusting for relevant medical, social, and demographic covariates in a large sample undergoing screening for several transdiagnostic psychiatric research studies. A total of 1,724 participants were analyzed for association of CRP with variables using multivariate linear regression. An unadjusted model with no covariates showed that PHQ-9 was significantly associated with CRP in All (β = 0.125), Female (β = 0.091), and Male (β = 0.154) participants, but DAST was significantly associated with CRP in males only (β = 0.120). For the adjusted model, in both males and females, mood-stabilizer treatment (β = 0.630), opioid medication (β = 0.360), body mass index (β = 0.244), percent body fat (β = 0.289), nicotine use (β = 0.063), and self-reported sleep disturbance (β = 0.061) were significantly associated with increased CRP concentrations. In females, oral contraceptive use (β = 0.576), and waist-to-hip ratio (β = 0.086), and in males, non-steroidal anti-inflammatory drug use (β = 0.367) were also associated with increased CRP concentrations. There was no significant association between CRP and individual depressive, anxiety, or substance use-related symptoms when covariates were included in the regression models. These results suggest that associations between circulating CRP and the severity of psychiatric symptoms are dependent on the type of covariates controlled for in statistical analyses.

Longitudinal PTSD symptom trajectories: Relative contributions of state anxiety, depression, and emotion dysregulation

BACKGROUND

Prospective research on the development and trajectory of PTSD symptoms after a traumatic event is crucial for assessment and early intervention. Further, examining predictors of PTSD pathology provides a better conceptualization of the temporal course of PTSD in trauma victims.

METHODS

The present study examined PTSD symptom severity in individuals presenting to the emergency department (ED) following a traumatic event. Participants (N = 147) were assessed at four timepoints: 2-weeks, 3-months, between 6 and 9 months, and 12-months after ED admission. Growth curve modeling was conducted to examine changes in PTSD symptom severity over time. Age, sex, state anxiety, trait anxiety, emotion dysregulation, depression, and trauma type (motor vehicle accident [MVA] and assault), and PTSD diagnosis were included as covariates in the model.

RESULTS

Results demonstrated that baseline PTSD symptom severity was positively associated with severity of depression and state (but not trait) anxiety, emotion dysregulation, and PTSD diagnosis. Results also revealed significant associations with PTSD symptom changes over time; greater state anxiety and depression symptoms at baseline were associated with steeper declines in PTSD symptoms over time.

LIMITATIONS

Data were collected at only four timepoints over the course of 12-months. Results may be different with more measurement points over longer periods and inclusion of pre-, peri- and post-trauma risk factors.

CONCLUSIONS

Results illustrate the relevance of assessing state anxiety, depression, and emotion dysregulation in following trauma victims for trauma-related psychopathology over the course of time to alleviate the negative impact of the same.

Changes in Positive Airway Pressure Use in Adults with Sleep-Related Breathing Disorder During the COVID-19 Pandemic: A Cross-Sectional National Community-Based Survey

Purpose

Methods

Results

Conclusions

A comparison of the safety, feasibility, and tolerability of ECT and ketamine for treatment-resistant depression

INTRODUCTION

Treatment-resistant depression (TRD) is a problematic and prevalent public health and societal concern. Although electroconvulsive therapy (ECT) is the gold standard TRD intervention, the treatment evokes apprehension due to public perceptions, feasibility, and tolerability. Despite significant medical advancements, few medications have been approved by the U.S. Food and Drug Administration for TRD. In 2019, intranasal esketamine, the S-isomer of racemic ketamine, was approved for TRD, garnering significant excitement about the potential for the drug to act as an alternative treatment to ECT.

AREAS COVERED

The goal of this narrative review is to compare the safety, efficacy, and tolerability of ketamine and ECT; clarify whether ketamine is a reasonable alternative to ECT; and to facilitate improved treatment assignment for TRD. Empirical quantitative and qualitative studies and national and international guidelines these treatments are reviewed.

EXPERT OPINION

: The field awaits the results of two ongoing large comparative effectiveness trials of ECT and IV ketamine for TRD, which should help guide clinicians and patients as to the relative risk and benefit of these interventions. Over the next five years we anticipate further innovations in neuromodulation and in drug development which broadly aim to develop more tolerable versions of ECT and ketamine, respectively.

White matter markers and predictors for subject-specific rTMS response in major depressive disorder

Repetitive transcranial magnetic stimulation (rTMS) has established therapeutic efficacy for major depressive disorder (MDD). While translational research has focused primarily on understanding the mechanism of action of TMS on functional activation and connectivity, the effects on structural connectivity remain largely unknown especially when rTMS is applied using subject-specific brain targets. This study aims to use novel diffusion magnetic resonance imaging (dMRI) analysis to examine microstructural changes related to rTMS treatment response using a unique cohort of 21 patients with MDD treated using rTMS with subject-specific targets. White matter dMRI microstructural measures and clinical scores were captured before and after the full course of treatment. We defined disease-relevant fiber bundles connected to different subregions of the left prefrontal cortex and analyzed changes in diffusion properties as well as correlations between the changes of dMRI measures and the changes in Hamilton Depression Rating Scale (HAMD). No significant changes were observed in tracts connected to the TMS targets. rTMS significantly increased the extra-axonal free-water volume, fractional anisotropy and decreased the radial diffusivity in anterior-medial prefrontal fiber bundles but did not lead to raw changes in lateral prefrontal tracts. That said, the microstructural changes in the lateral prefrontal white matter were significantly correlated with treatment response. Moreover, pre-rTMS dMRI measures of the dorsal anterior cingulate cortex and lateral prefrontal cortex connections are correlated with changes in HAMD scores. Microstructural changes in the anterior-medial and lateral prefrontal white matter are potentially involved in treatment response to TMS, though further investigation is needed using larger datasets.

The new frontline: exploring the links between moral distress, moral resilience and mental health in healthcare workers during the COVID-19 pandemic

BACKGROUND

Global health crises, such as the COVID-19 pandemic, confront healthcare workers (HCW) with increased exposure to potentially morally distressing events. The pandemic has provided an opportunity to explore the links between moral distress, moral resilience, and emergence of mental health symptoms in HCWs.

METHODS

A total of 962 Canadian healthcare workers (88.4% female, 44.6 + 12.8 years old) completed an online survey during the first COVID-19 wave in Canada (between April 3rd and September 3rd, 2020). Respondents completed a series of validated scales assessing moral distress, perceived stress, anxiety, and depression symptoms, and moral resilience. Respondents were grouped based on exposure to patients who tested positive for COVID-19. In addition to descriptive statistics and analyses of covariance, multiple linear regression was used to evaluate if moral resilience moderates the association between exposure to morally distressing events and moral distress. Factors associated with moral resilience were also assessed.

FINDINGS

Respondents working with patients with COVID-19 showed significantly more severe moral distress, anxiety, and depression symptoms (F > 5.5, p < .020), and a higher proportion screened positive for mental disorders (Chi-squared > 9.1, p = .002), compared to healthcare workers who were not. Moral resilience moderated the relationship between exposure to potentially morally distressing events and moral distress (p < .001); compared to those with higher moral resilience, the subgroup with the lowest moral resilience had a steeper cross-sectional worsening in moral distress as the frequency of potentially morally distressing events increased. Moral resilience also correlated with lower stress, anxiety, and depression symptoms (r > .27, p < .001). Factors independently associated with stronger moral resilience included: being male, older age, no mental disorder diagnosis, sleeping more, and higher support from employers and colleagues (B [0.02, |-0.26|].

INTERPRETATION

Elevated moral distress and mental health symptoms in healthcare workers facing a global crisis such as the COVID-19 pandemic call for the development of interventions promoting moral resilience as a protective measure against moral adversities.

Efficacy of intensive CBT telehealth for obsessive-compulsive disorder during the COVID-19 pandemic

Despite evidence for the effectiveness of cognitive behavioral therapy (CBT) for obsessive-compulsive disorder (OCD), many individuals with OCD lack access to needed behavioral health treatment. Although some literature suggests that virtual modes of treatment for OCD are effective, it remains unclear whether intensive programs like partial hospitalization and intensive outpatient programs (PHP and IOPs) can be delivered effectively over telehealth (TH) and within the context of a global pandemic. Limited extant research suggests that clinicians perceive attenuated treatment response during the pandemic. The trajectory and outcomes of two matched samples were compared using linear mixed modeling: a pre-COVID in-person (IP) sample (n = 239) and COVID TH sample (n = 239). Findings suggested that both modalities are effective at treating OCD and depressive symptoms, although the pandemic TH group required an additional 2.6 treatment days. The current study provides evidence that PHP and IOP treatment delivered via TH during the COVID-19 pandemic is approximately as effective as pre-pandemic IP treatment and provides promising findings for the future that individuals with complicated OCD who do not have access to IP treatment can still experience significant improvement in symptoms through TH PHP and IOP treatment during and potentially after the pandemic.

Diurnal preference and depressive symptomatology: a meta-analysis

Eveningness, a preference for later sleep and rise times, has been associated with a number of negative outcomes in terms of both physical and mental health. A large body of evidence links eveningness to Major Depressive Disorder (MDD). However, to date, evidence quantifying this association is limited. The current meta-analysis included 43 effect sizes from a total 27,996 participants. Using a random-effects model it was demonstrated that eveningness is associated with a small effect size (Fisher's Z = - 2.4, 95% CI [- 0.27. - 0.21], p < 0.001). Substantial heterogeneity between studies was observed, with meta-regression analyses demonstrating a significant effect of mean age on the association between diurnal preference and depression. There was also evidence of potential publication bias as assessed by visual inspection of funnel plots and Egger's test. The association between diurnal preference and depression is small in magnitude and heterogenous. A better understanding of the mechanistic underpinnings linking diurnal preference to depression and suitably powered prospective studies that allow causal inference are required.

Association of depressive symptom severity with coronary artery calcium: The Dallas heart study

BACKGROUND

Previous studies have yielded mixed results regarding the relationship between depressive symptoms and coronary artery calcium (CAC). This analysis sought to evaluate this relationship using a multiethnic, population-based cohort.

METHODS

Data were extracted from the second phase of the Dallas Heart Study (DHS-2). Depressive symptom severity was measured with the 16-item Quick Inventory of Depressive Symptomatology-Self Report (QIDS), a validated depressive symptom severity scale. A regression analysis was performed using QIDS score as the predictor variable and CAC as the outcome variable. Covariates included age, sex, ethnicity, diabetes, hypertension, smoking, systolic blood pressure, total cholesterol, HDL cholesterol, and body mass index.

RESULTS

The cohort consisted of 2,293 individuals with a mean age of 50 years and included 47.1% female and 47.1% black participants. The mean QIDS score was 4.37(±3.69), and 43.3% had CAC > 0. Regression results indicated that QIDS does not statistically significantly predict whether one does or does not have CAC, when controlling for age, sex, and ethnicity (β = 0.088, p = .240, OR = 1.092, 95% CI 0.943-1.264).

LIMITATIONS

Cross sectional design is limited to one point in time, very depressed patients with higher CAC burden may not have participated, and depressive symptoms may be associated with subclinical atherosclerosis differently with a formal diagnosis of depression.

CONCLUSION

Depressive symptoms were not associated with presence or severity of CAC in a multiethnic population based sample. Future studies are needed to determine if other prognostic markers of coronary heart disease are associated with depressive symptoms.

Elevated Circulating Th2 Cells in Women With Asthma and Psychological Morbidity: A New Asthma Endotype?

PURPOSE

Psychological stress shifts the immune system toward the production of T-helper (Th)-2-mediated cytokines and eosinophilia, increases the risks for both asthma and depression, and can precipitate asthma exacerbations. Th2-mediated inflammation is a characteristic of allergic asthma. We have shown that the levels of CD4⁺ Th2 cells in the peripheral blood of patients with asthma are associated with severity and/or control of the disease. To improve our understanding of the interactions between stress and asthma symptoms, we evaluated the effects of psychological comorbidity on Th2-mediated inflammation in patients with asthma.

METHODS

Sixty-six asthmatic patients were recruited from the University of Alberta Asthma Clinic after they gave informed consent. Stress-related effects on asthma and psychological morbidity were assessed using the Asthma Control Questionnaire, completed by the patients at recruitment. Venous blood was collected at recruitment and Th2-mediated immunity evaluated by flow cytometry, quantitative real-time reverse-transcription polymerase chain reaction and enzyme-linked immunosorbent assay.

FINDINGS

Patients with stress-triggered asthma (n = 12) had higher percentage of CD4⁺ T cells (P = 0.006) and Th2 cells (CD4⁺CRTh2⁺ T cells; P = 0.002) in peripheral blood compared to patients with asthma who did not experience stress-related worsening of disease (n = 54). The same was true when we analyzed patients with any form of psychological comorbidity (n = 19) compared to those without psychological comorbidities (n = 47). These differences were evident among women, but not among men. Women with psychological comorbidity also required higher doses of inhaled and oral corticosteroids compared to those without psychological comorbidity.

IMPLICATIONS

Asthma involving psychological morbidity associates with an elevated level of circulating Th2 cells and increased corticosteroid usage, and may be more prevalent in women. Larger-scale prospective studies are required for assessing whether these women constitute a new endotype of Th2-high asthma responsive to treatments aimed to improve psychological comorbidities.

A difference degree test for comparing brain networks

Recently, there has been a proliferation of methods investigating functional connectivity as a biomarker for mental disorders. Typical approaches include massive univariate testing at each edge or comparisons of network metrics to identify differing topological features. Limitations of these methods include low statistical power due to the large number of comparisons and difficulty attributing overall differences in networks to local variation. We propose a method to capture the difference degree, which is the number of edges incident to each region in the difference network. Our difference degree test (DDT) is a two-step procedure for identifying brain regions incident to a significant number of differentially weighted edges (DWEs). First, we select a data-adaptive threshold which identifies the DWEs followed by a statistical test for the number of DWEs incident to each brain region. We achieve this by generating an appropriate set of null networks which are matched on the first and second moments of the observed difference network using the Hirschberger-Qi-Steuer algorithm. This formulation permits separation of the network's true topology from the nuisance topology induced by the correlation measure that alters interregional connectivity in ways unrelated to brain function. In simulations, the proposed approach outperforms competing methods in detecting differentially connected regions of interest. Application of DDT to a major depressive disorder dataset leads to the identification of brain regions in the default mode network commonly implicated in this ruminative disorder.

Efficacy of digital CBT for insomnia to reduce depression across demographic groups: a randomized trial

BACKGROUND

Insomnia and depression are highly comorbid and mutually exacerbate clinical trajectories and outcomes. Cognitive behavioral therapy for insomnia (CBT-I) effectively reduces both insomnia and depression severity, and can be delivered digitally. This could substantially increase the accessibility to CBT-I, which could reduce the health disparities related to insomnia; however, the efficacy of digital CBT-I (dCBT-I) across a range of demographic groups has not yet been adequately examined. This randomized placebo-controlled trial examined the efficacy of dCBT-I in reducing both insomnia and depression across a wide range of demographic groups.

METHODS

Of 1358 individuals with insomnia randomized, a final sample of 358 were retained in the dCBT-I condition and 300 in the online sleep education condition. Severity of insomnia and depression was examined as a dependent variable. Race, socioeconomic status (SES; household income and education), gender, and age were also tested as independent moderators of treatment effects.

RESULTS

The dCBT-I condition yielded greater reductions in both insomnia and depression severity than sleep education, with significantly higher rates of remission following treatment. Demographic variables (i.e. income, race, sex, age, education) were not significant moderators of the treatment effects, suggesting that dCBT-I is comparably efficacious across a wide range of demographic groups. Furthermore, while differences in attrition were found based on SES, attrition did not differ between white and black participants.

CONCLUSIONS

Results provide evidence that the wide dissemination of dCBT-I may effectively target both insomnia and comorbid depression across a wide spectrum of the population.

The relationship between asthma and depression in a community-based sample

OBJECTIVE

Asthma is an increasingly prevalent disease that is associated with substantial physical and financial burdens. Additionally, asthma is linked to psychiatric disorders. This study examines the relationship between asthma diagnosis, current depressive symptoms, and lifetime psychiatric disorder history in a large, community-based sample.

METHODS

We analyzed data from 2168 participants in the Dallas Heart Study, a large, diverse, community-based sample of people designed to be representative of the Dallas County population. Logistic regressions analyzing the relationship between asthma diagnosis and history of a psychiatric disorder, as well as between asthma diagnosis and the Quick Inventory of Depressive Symptomatology (QIDS) scores were performed, controlling for demographic data.

RESULTS

13.4% of the sample had an asthma diagnosis. Asthma diagnosis was significantly associated with a history of nervous, emotional, or mental health disorder diagnosis [OR 1.810 (95% CI 1.280-2.559) p = 0.001], and with QIDS scores consistent with moderate or greater current depressive symptom severity [OR 1.586 (95%CI 1.106-2.274) p = 0.012]. The relationships were not moderated by age, gender, race, smoking status, or Body Mass Index.

CONCLUSIONS

A diagnosis of asthma may be associated with current clinically significant levels of depressive symptoms and a lifetime psychiatric disorder. The current report adds to the existing literature in this area by assessing both current and lifetime symptoms and by using a large and diverse population. The findings highlight the clinical importance of considering the possibility of psychiatric illness in asthma patients and suggest further research in this area is needed.

A randomized controlled double-blind clinical trial comparing versus placebo the effect of an edible algal extract (Ulva Lactuca) on the component of depression in healthy volunteers with anhedonia

BACKGROUND

The effects of the seaweed extract were evaluated on the animal model equivalent of depression compared with a control group treated with the carrier (spring water) and a reference group treated with Imipramine and showed significative effect. This clinical trial was intended to confirm in humans the potential efficacy identified in animals. The primary objective was to compare against a placebo the effect of Ulva L.L extract in healthy volunteers whose anhedonia was characterized by a component of depression.

METHODS

Single-centre double-blind randomized placebo-controlled clinical trial on parallel arms of two groups of 45 subjects. The study could include men or women aged 18 to 65 years with anhedonia characterized by a Snaith Hamilton Pleasure Scale score (SHAPS) of ≥5 and feeling low morale for at least four weeks characterized by a component of depression evaluated on the Quick Inventory of Depressive Symptomatology - Self Report (QIDS-SR). Evaluation criteria: QIDS-SR; Patient Global Improvement Impression (PGII) and Clinical Global Improvement Impression (CGII).

RESULTS

86 subjects were included in the trial: 42 in the placebo group and 44 Ulva group. At D84, QIDS-SR significantly decreased more in the Ulva.L.L. group than in the placebo group (p: 0.0389). This difference is essentially linked to an improvement of the sleep disorders (p: 0.0219), of the psychomotor consequences (p: 0.002) and of the nutrition behaviour (p: 0.0694). 90.1% have the feeling of being improved in the Ulva group vs 72.5% in the placebo group (p: 0.0114) and in parallel 90.9% of the practitioners have the feeling that the subject has improved vs 70.8% (p: 0.0214).

CONCLUSION

This double-blind randomized placebo-controlled trial shows that daily intake for three months of a water-soluble extract of Ulva L.L. continues to significantly improve the component of depression of subjects presenting anhedonia compared with a placebo.

TRIAL REGISTRATION

Trial retrospectively registred on ClinicalTrial.gov under ID: NCT03545399 Date: 05/22/2018.

The psychometric properties of the Quick Inventory of Depressive Symptomatology-Self-Report (QIDS-SR) and the Patient Health Questionnaire-9 (PHQ-9) in depressed inpatients in China

This study examined the psychometric properties of the 16-item Quick Inventory of Depressive Symptomatology-Self-Report (QIDS-SR) and Patient Health Questionnaire-9 (PHQ-9). The study sample comprised 297 depressed inpatients. The severity of depressive symptoms was assessed with the Hamilton Rating Scale for Depression, the QIDS-SR and the PHQ-9 in all subjects at baseline and a random sample of 50 subjects two weeks later. The internal consistency, convergent validity, factor structure and sensitivity to change of these scales were assessed. Internal consistency (Cronbach's alpha) of the PHQ-9 and QIDS-SR were 0.88 and 0.83, respectively at baseline and 0.91 and 0.87, respectively at exit. Item to total score correlations were higher for the PHQ-9 than those for the QIDS-SR at baseline and exit. Three domains at baseline and two at study exit of the QIDS-SR had a correlation less than 0.65; while only two items at baseline and no item at exit were less than 0.65 for the PHQ-9. Both the PHQ-9 and the QIDS-SR showed uni-dimensional measurement properties at baseline; the two instruments were less sensitive than the HAMD to detect changes of depressive symptoms suggesting low convergent validity. The QIDS-SR and the PHQ-9 have similar and acceptable psychometric properties in most domains as tested in depressed inpatients.

Psychometric validation of the 16 Item Quick Inventory of Depressive Symptomatology Self-Report Version (QIDS-SR16) in military veterans with PTSD

BACKGROUND

The Quick Inventory of Depressive Symptomatology-Self Report (QIDS-SR16) is one example of a screening tool for depression, which has been utilized extensively following validation in a number of clinical populations. Despite the strengths of the QIDS-SR16, it has not been validated in military veterans, a particularly unique population considering their exposure to trauma and high rate of psychiatric comorbidities. The current report describes a psychometric validation of the QIDS-SR16 in a sample of United States military veterans diagnosed with military-related PTSD.

METHODS

Participants (n=240) were administered the QIDS-SR16 and one of two gold-standard semi-structured interviews to establish diagnosis of a current Major Depressive Episode (MDE). The ability to discriminate between individuals with and without a current MDE using the QIDS-SR16 was tested with a stepwise logistic regression. Additionally, an optimal cutoff score for the QIDS-SR16 was established.

RESULTS

The QIDS-SR16 was able to reliabily discriminate between individuals with and without a current MDE. The optimal cutoff score of the QIDS-SR16 for a current MDE was 13, with a sensitivity of 77.55% and specificity of 56.25%.

LIMITATIONS

Limitations of this study included underrepresentation of some racial/ethnic groups, the inability to disentangle the potential influence of trauma type and gender on results, and the use of two diagnostic interviews to diagnose current MDE.

DISCUSSION

The QIDS-SR16 can be effectively utilized in military veterans with comorbid PTSD. However, the calculated cutoff score for this population was higher than the cutoff score for the general population. This could result from the overlap between PTSD and MDE symptoms.

A Naturalistic Study of the Effectiveness of Pharmacogenetic Testing to Guide Treatment in Psychiatric Patients With Mood and Anxiety Disorders

OBJECTIVE

To examine the effectiveness of genetic testing in a real-world setting and to assess its impact on clinician treatment decisions.

METHOD

This was a naturalistic, unblinded, prospective analysis of psychiatric patients and clinicians who utilized a commercially available genetic test (between April and October of 2013), which incorporates 10 genes related to pharmacokinetics and pharmacodynamics of psychiatric medications. Each patient's genetic results were provided to participating clinicians, who completed a baseline survey including patient medications, history, and severity of illness. Clinicians were prompted to complete surveys within 1 week of receiving the genetic results and again 3 months later. Patients likewise completed assessments of depression, anxiety, medication side effects, and quality of life at baseline, 1 month, and 3 months.

RESULTS

Data from 685 patients were collected. Approximately 70% and 29% of patients had primary diagnoses of either a mood or anxiety disorder, respectively. Clinician-reported data, as measured by the Clinical Global Impressions-Improvement scale, indicated that 87% of patients showed clinically measurable improvement (rated as very much improved, much improved, or minimally improved), with 62% demonstrating clinically significant improvement. When analysis was restricted to the 69% of individuals with ≥ 2 prior treatment failures, 91% showed clinically measurable improvement. Patients also reported significant decreases in depression (P < .001), anxiety (P < .001), and medication side effects (P < .001) and increases in quality of life (P < .001).

CONCLUSIONS

These results suggest that a substantial proportion of individuals receiving pharmacogenetic testing showed clinically significant improvements on multiple measures of symptoms, adverse effects, and quality of life over 3 months. In the absence of a treatment-as-usual comparator, the proportion of improvement attributable to the test cannot be estimated.

TRIAL REGISTRATION

ClinicalTrials.gov identifier: NCT01507155.

Psychometric properties of the 16-item Quick Inventory of Depressive Symptomatology: a systematic review and meta-analysis

Effective management of depression is predicated upon reliable assessment. The Quick Inventory of Depressive Symptomatology (QIDS) is a depression severity scale with both self-rated (QIDS-SR16) and clinician-rated (QIDS-C16) versions. Although widely used in research, the psychometric properties of the QIDS16 have not been systematically reviewed. We performed a systematic review of studies of the psychometric properties (factor structure, internal consistency, convergent validity, discriminant validity, test-retest reliability and responsiveness to change) of the QIDS-SR16 or QIDS-C16. Six databases were searched: MEDLINE, EMBASE, PsycINFO, CinAHL, Web of Science and the Cochrane Central Register of Controlled Trials. Findings were summarised, bias assessed and correlations with reference standards were pooled. 37 studies (17,118 participants) were included in the review. Both versions of the QIDS16 were unidimensional. Cronbach's alpha ranged from 0.69 to 0.89 for the QIDS-SR16 and 0.65 to 0.87 for the QIDS-C16. The QIDS-SR16 correlated moderately to highly with several depression severity scales. Seven studies were pooled where QIDS-SR16 was correlated with the HRSD-17 (r = 0.76, CI 0.69, 0.81) in patients diagnosed with depression. Four studies examined convergent validity with the QIDS-C16. Four studies examined discriminant validity, for the QIDS-SR16 alone. Eighteen studies had at least one author who was a co-author of the original QIDS16 study. Most studies were conducted in the USA (n = 26). The QIDS-SR16 and the QIDS-C16 are unidimensional rating scales with acceptable internal consistency. To justify the use of the QIDS16 scale in clinical practice, more research is needed on convergent and discriminant validity, and in populations outside the USA.

The Spanish version of the Quick Inventory of Depressive Symptomatology-Self-Report (QIDS-SR16): a psychometric analysis in a clinical sample

BACKGROUND

Psychometrically robust and easy-to-administer scales for depressive symptoms are necessary for research and clinical assessment. This is a psychometric study of the Spanish version of the Quick Inventory of Depressive Symptomatology-Self-Report (QIDS-SR16) in a clinical sample.

METHOD

One-hundred and seventy-three patients (65% women) with a psychiatric disorder including depressive symptoms were recruited. Such symptoms were assessed by means of the QIDS-SR16 and two interviewer-rated instruments: the 17-item Hamilton Depression Rating Scale (HDRS17) and the Clinical Global Impression-Severity (CGI-S) scale. Self-rated measures of health-related quality of life, subjective happiness and perceived social support were also obtained. Dimensionality, internal consistency, construct validity, criterion validity, and responsiveness to change of the QIDS-SR16 were examined.

RESULTS

Exploratory and confirmatory factor analyses replicated the original one-factor structure. The Spanish version of the QIDS-SR16 showed good to excellent internal consistency (α=0.88), convergent validity [HDRS17 (r=0.77), CGI-S (r=0.78)], and divergent validity [EuroQol-5D Visual Analogue Scale (r=-0.78), Subjective Happiness Scale (r=-0.72)]. The QIDS-SR16 was excellent in discriminating clinically significant from non-significant depressive symptomatology (area under ROC curve=0.93). It also showed a high sensitivity to treatment-related changes: patients with greater clinical improvement showed a greater decrease in QIDS-SR16 scores (p<0.001).

LIMITATIONS

The study was conducted in a single center, which may limit the generalizability of the findings.

CONCLUSIONS

The Spanish version of the QIDS-SR16 retains the soundness of metric characteristics of the original version which makes the scale an invaluable instrument to assess depressive symptoms.

Psychometric properties of the Quick Inventory of Depressive Symptomatology (QIDS-SR) in UK primary care

It is widely believed that severity of depressive disorder should guide treatment selection and many guidelines emphasise this factor. The Quick Inventory of Depressive Symptomatology (QID-SR16) is a self-complete measure of depression severity which includes all DSM-IV criterion symptoms for major depressive disorder. The object of this study was to assess the psychometric properties of the QIDS-SR16 in a primary care sample. Adult primary care patients completed the QIDS-SR16 and were assessed by a psychiatrist (blind to QIDS-SR16) with the 17-item Hamilton Rating Scale for Depression (GRID-HAMD). Internal consistency, homogeneity and convergent and discriminant validity of the QIDS-SR16 were assessed. Severity cut-off scores for QIDS-SR16 were assessed for convergence with HRSD-17 cut-offs. Published methods for converting scores to HRSD-17 were also assessed. Two hundred and eighty-six patients participated: mean age = 49.5 (s.d. = 13.8), 68% female, mean HRSD-17 = 12.6 (s.d. = 7.6). The QIDS-SR16 exhibited acceptable internal consistency (Cronbach's alpha = 0.86), a robust factor structure indicating one underlying dimension and correlated highly with the HRSD-17 (r = 0.79) but differed significantly in how it categorised the severity of depression relative to the HRSD-17 (Wilcoxon Signed Rank Test p < 0.001). Using published methods to convert QIDS-SR16 scores to HRSD-17 scores did not result in alignment of severity categorisation. In conclusion, psychometric properties of the QIDS-SR16 were found to be strong in terms of internal consistency, factor structure and convergent and discriminant validity. Using conventional scoring and conversion methods the scale was found not to concur with the HRSD-17 in categorising the severity of depressive symptoms.