Adult ADHD and comorbid disorders: clinical implications of a dimensional approach.

Attention-deficit/hyperactivity disorder (ADHD) in the adult population is frequently associated with comorbid psychiatric diseases that complicate its recognition, diagnosis and management.The prevalence of ADHD in the general adult population is 2.5% and it is associated with substantial personal and individual burden. The most frequent comorbid psychopathologies include mood and anxiety disorders, substance use disorders, and personality disorders. There are strong familial links and neurobiological similarities between ADHD and the various associated psychiatric comorbidities. The overlapping symptoms between ADHD and comorbid psychopathologies represent challenges for diagnosis and treatment. Guidelines recommend that when ADHD coexists with other psychopathologies in adults, the most impairing condition should generally be treated first.Early recognition and treatment of ADHD and its comorbidities has the potential to change the trajectory of psychiatric morbidity later in life. The use of validated assessment scales and high-yield clinical questions can help identify adults with ADHD who could potentially benefit from evidence-based management strategies.

Screening for Adulthood ADHD and Comorbidities in a Tertiary Mental Health Center Using EarlyDetect: A Machine Learning-Based Pilot Study.

Screening for adult Attention-Deficit/Hyperactivity Disorder (ADHD) and differentiating ADHD from comorbid mental health disorders remains to be clinically challenging. A screening tool for ADHD and comorbid mental health disorders is essential, as most adult ADHD is comorbid with several mental health disorders. The current pilot study enrolled 955 consecutive patients attending a tertiary mental health center in Canada and who completed EarlyDetect assessment, with 45.2% of patients diagnosed with ADHD. The best ADHD classification model using composite scoring achieved a balanced accuracy of 0.788, showing a 2.1% increase compared to standalone ADHD screening, detecting four more patients with ADHD per 100 patients. The classification model including ADHD with comorbidity was also successful (balanced accuracy = 0.712). The results suggest the novel screening method can improve ADHD detection accuracy and inform the risk of ADHD with comorbidity, and may further inform specific comorbidity including MDD and BD.

Individualized identification of sexual dysfunction of psychiatric patients with machine-learning.

Sexual dysfunction (SD) is prevalent in patients with mental health disorders and can significantly impair their quality of life. Early recognition of SD in a clinical setting may help patients and clinicians to optimize treatment options of SD and/or other primary diagnoses taking SD risk into account and may facilitate treatment compliance. SD identification is often overlooked in clinical practice; we seek to explore whether patients with a high risk of SD can be identified at the individual level by assessing known risk factors via a machine learning (ML) model. We assessed 135 subjects referred to a tertiary mental health clinic in a Western Canadian city using health records data, including age, sex, physician's diagnoses, drug treatment, and the Arizona Sexual Experiences Scale (ASEX). A ML model was fitted to the data, with SD status derived from the ASEX as target outcomes and all other variables as predicting variables. Our ML model was able to identify individual SD cases-achieving a balanced accuracy of 0.736, with a sensitivity of 0.750 and a specificity of 0.721-and identified major depressive disorder and female sex as risk factors, and attention deficit hyperactivity disorder as a potential protective factor. This study highlights the utility of SD screening in a psychiatric clinical setting, demonstrating a proof-of-concept ML approach for SD screening in psychiatric patients, which has marked potential to improve their quality of life.

Clinical and functional outcomes in patients with major depressive disorder and painful physical symptoms switched to treatment with duloxetine.

OBJECTIVE: This post hoc analysis of a multicenter, single-arm, open-label trial (the Attributes of Response in Depressed Patients Switched to Treatment with Duloxetine [ARDENT] study) assessed the relationship between functional improvement in the Sheehan Disability Scale (SDS) and clinical outcomes of mood, pain, and anxiety over 8 weeks after switching treatment to duloxetine in patients with major depressive disorder. METHODS: Analyses included all 195 patients who completed the study. Pearson's correlation and multivariate regression analyses were used to evaluate the relationship between change from baseline in SDS total score and 17-item Hamilton Rating Scale for Depression (HAMD(17)) Maier score (mood), Brief Pain Inventory-Short Form average pain score (pain), and Hamilton Anxiety Rating Scale total score (anxiety) at week 8. RESULTS: At week 8, change in SDS total score was positively correlated with change in mood (r = 0.49), anxiety (r = 0.44), and pain (r = 0.40). Multivariate linear regression coefficients for mood and pain were estimated at 1.21 (standard error [SE] = 0.184) and 1.16 (SE = 0.180), respectively (both p < 0.0001) compared with 0.02 (SE = 0.097; p = 0.82) for anxiety. Overall, 43% of patients achieved both HAMD(17) and SDS total remission. CONCLUSIONS: Functional improvement at 8 weeks was positively correlated with mood, pain, and anxiety in patients with major depressive disorder switched to duloxetine. Change in mood and pain exerted a relatively stronger joint effect on functioning than did anxiety in this patient population. Copyright © 2011 John Wiley & Sons, Ltd.

Prevalence of Bipolar Disorder symptoms in Primary Care (ProBiD-PC): A Canadian study.

Objective To describe the prevalence of patients who screen positive for symptoms of bipolar disorder in primary care practice using the validated Mood Disorders Questionnaire (MDQ). Design Prevalence survey. Setting Fifty-four primary care practices across Canada. Participants Adult patients presenting to their primary care practitioners for any cause and reporting, during the course of their visits, current or previous symptoms of depression, anxiety, substance use disorders, or attention deficit hyperactivity disorder. Main outcome measures Subjects were screened for symptoms suggestive of bipolar disorder using the MDQ. Health-related quality of life, functional impairment, and work productivity were evaluated using the 12-Item Short-Form Health Survey and Sheehan Disability Scale. Results A total of 1416 patients were approached to participate in this study, and 1304 completed the survey. Of these, 27.9% screened positive for symptoms of bipolar disorder. All 13 items of the MDQ were significantly associated with screening positive for bipolar disorder (P < .05). Patients screening positive were significantly more likely to report depression, anxiety, substance use, attention deficit hyperactivity disorder, family history of bipolar disorder, or suicide attempts than patients screening negative were (P < .001). Health-related quality of life, work or school productivity, and social and family functioning were all significantly worse in patients who screened positive (P < .001). Conclusion This prevalence survey suggests that more than a quarter of patients presenting to primary care with past or current psychiatric indices are at risk of bipolar disorder. Patients exhibiting a cluster of these symptoms should be further questioned on family history of bipolar disorder and suicide attempts, and selectively screened for symptoms suggestive of bipolar disorder using the quick and high-yielding MDQ.

Assessment and management of sexual dysfunction in the context of depression.

Sexual dysfunction (SD) is pervasive and underreported, and its effects on quality of life are underestimated. Due in part to its bidirectional relationship with depression, SD can be difficult to diagnose; it is also a common side effect of many antidepressants, leading to treatment noncompliance. While physicians often count on patients to spontaneously report SD, treatment is optimized when the clinician instead performs a thorough assessment of sexual functioning before and during drug therapy using a standardized questionnaire such as the Arizona Sexual Experiences Scale (ASEX). Separating the effects of the disorder from those of medications is challenging; we present a concise, evidence-based schematic to assist physicians in minimizing treatment-emergent sexual dysfunction (TESD) while treating depression. Vascular, hormonal, neurogenic, and pharmacological factors should be considered when a patient presents with SD. We also recommend that physicians obtain patient information about baseline and historical sexual functioning before prescribing a drug that may lead to SD and follow up accordingly. When the goal is to treat depression while attenuating the risk of sexual symptoms, physicians may wish to consider agomelatine, bupropion, desvenlafaxine, moclobemide, trazodone, vilazodone, and vortioxetine.

Functional Recovery in Major Depressive Disorder: Focus on Early Optimized Treatment.

OBJECTIVE: This article presents the case that a more rapid, individualized approach to treating major depressive disorder (MDD) may increase the likelihood of achieving full symptomatic and functional recovery for individual patients and that studies show it is possible to make earlier decisions about appropriateness of treatment in order to rapidly optimize that treatment. DATA SOURCES: A PubMed search was conducted using terms including major depressive disorder, early improvement, predictor, duration of untreated illness, and function. English-language articles published before September 2015 were included. Additional studies were found within identified research articles and reviews. STUDY SELECTION: Thirty antidepressant studies reporting predictor criteria and outcome measures are included in this review. DATA EXTRACTION: Studies were reviewed to extract definitions of predictors, outcome measures, and results of the predictor analysis. Results were summarized separately for studies reporting effects of early improvement, baseline characteristics, and duration of untreated depression. RESULTS: Shorter duration of the current depressive episode and duration of untreated depression are associated with better symptomatic and functional outcomes in MDD. Early improvement of depressive symptoms predicts positive symptomatic outcomes (response and remission), and early functional improvement predicts an increased likelihood of functional remission. CONCLUSIONS: The approach to treatment of depression that exhibits the greatest potential for achieving full symptomatic and functional recovery is early optimized treatment: early diagnosis followed by rapid individualized treatment. Monitoring symptoms and function early in treatment is crucial to ensuring that patients do not remain on ineffective or poorly tolerated treatment, which may delay recovery and heighten the risk of residual functional deficits.

Paroxetine versus placebo and other agents for depressive disorders: a systematic review and meta-analysis.

OBJECTIVE: To compare paroxetine with placebo and other antidepressants across multiple efficacy and tolerability outcomes. DATA SOURCES: Searches were conducted in MEDLINE (1966-2004), EMBASE (1980-2004), CINAHL (1982-2004), all Evidence-Based Medicine Reviews (1991-2004), HealthSTAR (1975-2004), BIOSIS (1980-2004), and PsycINFO (1840-2004). Medical Subject Headings (MeSH) included "paroxetine" OR "Paxil" exploded. The searches were not restricted by language, publication type, or study design. STUDY SELECTION: A study report was included if it described a randomized trial of paroxetine versus placebo or other antidepressants for patients with depressive disorders. Records were screened independently by 2 reviewers under the supervision of another reviewer. DATA EXTRACTION: Three investigators abstracted data, including study design, trial characteristics, and psychiatric assessment tools, using a prespecified form. Two investigators assessed quality of reporting using Jadad's scale. DATA SYNTHESIS: We included 62 unique randomized controlled trials. Paroxetine yielded consistently and significantly better remission (rate difference [RD]: 10% [95% CI = 6 to 14]), clinical response (RD: 17% [95% CI = 7 to 27]), and symptom reduction (effect size: 0.2 [95% CI = 0.1 to 0.3]) than placebo. Such consistency in the evidence base was not observed between paroxetine and other antidepressants. Pairwise comparisons of paroxetine and venlafaxine, mirtazapine, mianserin, or fluoxetine yielded inconsistent results across efficacy outcomes. Controlled-release paroxetine was the only antidepressant with significantly fewer dropouts due to adverse events than immediate-release paroxetine (RD: 5% [95% CI = 0.1 to 11]). CONCLUSIONS: There were no significant and valid differences between paroxetine and other antidepressants to suggest that multiple modes of action improve clinical outcomes.

A Canadian multicenter trial assessing memory and executive functions in patients with schizophrenia spectrum disorders treated with olanzapine.

Serial verbal learning task (explicit long-term memory) and verbal fluency (generation of a response) are tests that are usually severely impaired in schizophrenia. Despite the growing literature supporting the clinical efficacy of olanzapine, psychiatrists still question its cognitive consequences. This study assessed the efficacy of olanzapine on neurocognitive functioning. Patients (N = 134) meeting diagnostic criteria for schizophrenia, schizophreniform, or schizoaffective disorders began an 8-week, open-label olanzapine treatment at a dose of 5 mg/d, which was increased to 10 mg/d after 1 week. Daily dosage was subsequently adjusted between 5 and 20 mg/d based on individual clinical status. All previous antipsychotics were tapered and discontinued during the first 2 weeks of the study. Neuropsychologic assessments were carried out at baseline and at 4 and 8 weeks. Explicit long-term memory was assessed with the Rey Auditory-Verbal Learning Test: the average immediate recall score significantly improved (P < 0.001), as did the delayed recall score (P < 0.001). The average total score on category fluency improved from 34.6 words at baseline to 37.6 words at end point (P < 0.0001). Time on both Trail A and B making tasks significantly decreased (P < 0.0001). Lack of a control arm makes it impossible to exclude a practice effect as an explanation for the enhanced cognitive performance, although the Word List Recall test represents one of the better resources to avoid a practice effect. After switching to olanzapine, there was a statistically significant improvement of cognitive function in the 3 main domains tested and no significant worsening of any memory or executive function measure.