Convergent and criterion validity of PROMIS anxiety measures relative to six legacy measures and a structured diagnostic interview for anxiety in cancer patients.

BACKGROUND: Detecting anxiety in oncology patients is important, requiring valid yet brief measures. One increasingly popular approach is the Patient Reported Outcomes Measurement Information System (PROMIS); however, its validity is not well established in oncology. We assessed the convergent and criterion validity of PROMIS anxiety measures in an oncology sample. METHODS: 132 oncology/haematology outpatients completed the PROMIS Anxiety Computer Adaptive Test (PROMIS-A-CAT) and the 7 item (original) PROMIS Anxiety Short Form (PROMIS-A-SF) along with six well-established measures: Hospital Anxiety and Depression Scale-Anxiety (HADS-A); Generalised Anxiety Disorder-7 (GAD-7); Depression, Anxiety and Stress Scale-Anxiety (DASS-A) and Stress (DASS-S); Distress Thermometer (DT) and PSYCH-6. Correlations, area under the curve (AUC) and diagnostic accuracy statistics were calculated with Structured Clinical Interview as the reference standard. RESULTS: Both PROMIS measures correlated with all legacy measures at p < .001 (Rho = .56-.83). AUCs (> .80) were good for both PROMIS measures and comparable to or better than all legacy measures. At the recommended mild cut-point (55), PROMIS-A-SF had sensitivity (.67) comparable to or better than all the legacy measures, whereas PROMIS-A-CAT sensitivity (.59) was lower than GAD-7 (.67) and HADS-A (.62), but comparable to PSYCH-6 and higher than DASS-A, DASS-S and DT. Sensitivity for both was .79. A reduced cut-point of 51 on both PROMIS measures improved sensitivity (.83-.84) although specificity was only adequate (.61-.62). CONCLUSIONS: The convergent and criterion validity of the PROMIS anxiety measures in cancer populations was confirmed as equivalent, but not superior to, established measures (GAD-7 and HADS-A). The PROMIS-A-CAT did not demonstrate clear advantages over PROMIS-A-SF.

The cognitive basis of psychosocial impact in COVID-19 pandemic. Does it encircle the default mode network of the brain? A pragmatic proposal.

Epigenetics, hypothalamic-pituitary axes, environmental and metabolic influences, and transgenerational plasticity govern social behavior. Cognitive research considers the brain's default mode network (DMN) as a central hub that integrates various cognitive and social processing domains responsible for emotion perception, empathy, theory of mind, and morality. Hence, DMN is regarded as the "social brain." Upsurge in social turmoil, social anxiety, panic, depression, post-traumatic stress, hoarding, herd behavior, substance and behavioral addictions, sexual abuse, and violence in the time of the COVID-19 pandemic are intricately related to personality traits resulting in disruptive social cognition and social behavior, conceptualized as the result of unsettling and disruption of the functional nexus of the DMN. Considering overt and conspicuous display of neuroticism during the current pandemic, its impact upon modulation of the DMN functional nexus and the DMN itself, and the potential to presage cognitive impairment in the future, the authors caution that an increase in the global burden of dementia may be one of the long-term ramifications of COVID-19. Social behavior, a functional derivative of the DMN, can strikingly affect the functional nexus of DMN and the DMN itself, in a centripetal way via the phenomenon called "Experience-Dependent Plasticity," with long-term consequences. In this review, we intend to 1) decipher the association between social cognition and social behavior with the DMN, in time of COVID-19; and to 2) discuss the prospective aftermath of disrupted social behavior during the pandemic on modulation/alteration of functional connectomes of DMN or the DMN itself in the time ahead.

Memory and Executive Dysfunction Predict Complex Activities of Daily Living Impairment in Amnestic Multi-Domain Mild Cognitive Impairment.

BACKGROUND: Specific cognitive alterations could be one of the predictors that lead to the complex activities of daily living (CADL) impairment in mild cognitive impairment (MCI) and, hence, help to explain the continuum between MCI and dementia. OBJECTIVE: We aimed to reevaluate the existing uncertainty regarding the impact of memory and executive functions on CADL in patients with MCI. METHODS: Caregivers of 161 patients with amnestic multi-domain MCI and of 150 patients with incipient Alzheimer's disease as well as 100 age-, sex-, and education-matched controls, completed the Interview for Deterioration in Daily Living Activities in Dementia, a suitable instrument for the description and discrimination of CADL. In addition, all patients and controls were assessed with a neuropsychological battery to measure explicit memory and executive functions performance. RESULTS: Multiple regression analyses showed that in the group of patients with amnestic multi-domain MCI, 67.4% of the variability of the CADL impairment was explained by worse performance on executive functions tests (p < 0.0001) and 41.8% by different explicit memory components impairment (p < 0.0001). Further, in patients with incipient AD, 44.0% of the variability of CADL impairment was explained by worse performance on executive functions tests (p < 0.0001) and 39.9% by different explicit memory components worsening (p < 0.0001). CONCLUSIONS: Memory and executive functions alterations impact similarly on the CADL in both amnestic multi-domain MCI and incipient Alzheimer's disease. Given the continuum that exists between both conditions, we conclude that CADL impairment may be an important early step in the evolution towards Alzheimer's disease from amnestic multi-domain MCI.

Which clinical and biochemical predictors should be used to screen for diabetes in patients with serious mental illness receiving antipsychotic medication? A large observational study.

OBJECTIVE: We aimed to investigate which clinical and metabolic tests offer optimal accuracy and acceptability to help diagnose diabetes among a large sample of people with serious mental illness in receipt of antipsychotic medication. METHODS: A prospective observational study design of biochemical and clinical factors was used. Biochemical measures were fasting glucose, insulin and lipids, oral glucose tolerance testing (OGTT), hemoglobin A1c, and insulin resistance assessed with the homeostatic model (HOMA-IR) were determined in a consecutive cohort of 798 adult psychiatric inpatients receiving antipsychotics. Clinical variables were gender, age, global assessment of functioning (GAF), mental health clinicians' global impression (CGI), duration of severe mental illness, height, weight, BMI and waist/hip ratio. In addition, we calculated the risk using combined clinical predictors using the Leicester Practice Risk Score (LPRS) and the Topics Diabetes Risk Score (TDRS). Diabetes was defined by older criteria (impaired fasting glucose (IFG) or OGTT) as well as2010 criteria (IFG or OGTT or Glycated haemoglobin (HBA1c)) at conventional cut-offs. RESULTS: Using the older criteria, 7.8% had diabetes (men: 6.3%; women: 10.3%). Using the new criteria, 10.2% had diabetes (men: 8.2%, women: 13.2%), representing a 30.7% increase (p = 0.02) in the prevalence of diabetes. Regarding biochemical predictors, conventional OGTT, IFG, and HbA1c thresholds used to identify newly defined diabetes missed 25%, 50% and 75% of people with diabetes, respectively. The conventional HBA1c cut-point of ≥6.5% (48 mmol/mol) missed 7 of 10 newly defined cases of diabetes while a cut-point of ≥5.7% improved sensitivity from 44.4% to up to 85%. Specific algorithm approaches offered reasonable accuracy. Unfortunately no single clinical factor was able to accurately rule-in a diagnosis of diabetes. Three clinical factors were able to rule-out diabetes with good accuracy namely: BMI, waist/hip ratio and height. A BMI < 30 had a 92% negative predictive value in ruling-out diabetes. Of those not diabetic, 20% had a BMI ≥ 30. However, for complete diagnosis a specific biochemical protocol is still necessary. CONCLUSIONS: Patients with SMI maintained on antipsychotic medication cannot be reliably screened for diabetes using clinical variables alone. Accurate assessment requires a two-step algorithm consisting of HBA1c ≥5.7% followed by both FG and OGTT which does not require all patients to have OGTT and FG.

Normative values for the distress thermometer (DT) and the emotion thermometers (ET), derived from a German general population sample.

PURPOSE: The distress thermometer (DT) and the emotion thermometers (ET) are short screening instruments for use in oncological practice. The aim of this study was to provide normative values and to analyze the correlational structure of the ET. METHODS: A representative sample of the adult German general population (N = 2437) completed the ET, the PHQ-4, the FACIT-fatigue scale, and the demoralization scale. RESULTS: The percentages of people above the cutoff (≥ 4) and the mean scores of the five ET scales were as follows: distress: 39.0%, M = 3.15 ± 2.62, anxiety: 12.3%, M = 1.36 ± 1.93, depression: 16.1%, M = 1.65 ± 2.11, anger: 24.5%, M = 2.33 ± 2.16, and need for help: 10.7%, M = 1.18 ± 1.90. Women reported significantly higher levels of burden than men, with effect sizes between 0.07 (anger) and 0.36 (anxiety). All ET dimensions were interrelated (r between 0.44 and 0.69) and significantly correlated with the other scales (r between 0.36 and 0.68). CONCLUSIONS: The normative scores can help qualify assessments of groups of patients. The new four dimensions of the ET provide relevant additional information that is not already covered by the DT.

The impact of automated screening with Edmonton Symptom Assessment System (ESAS) on health-related quality of life, supportive care needs, and patient satisfaction with care in 268 ambulatory cancer patients.

PURPOSE: We aimed to assess the impact of implementing Edmonton Symptom Assessment System (ESAS) screening on health-related quality of life (HRQoL) and patient satisfaction with care (PSC) in ambulatory oncology patients. ESAS is now a standard of care in Ontario cancer centers, with the goal of improving symptom management in cancer patients, yet few studies examine impact of ESAS on patient outcomes. METHODS: We compared ambulatory oncology patients who were not screened prior to ESAS site implementation (2011-2012), to a similar group who were screened using ESAS after site implementation (2012-2013), to examine between-group differences in patient HRQoL, PSC outcomes, and supportive care needs (Supportive Care Service Survey). Both no-ESAS (n = 160) and ESAS (n = 108) groups completed these measures: the latter completing them, along with ESAS, at baseline and 2 weeks later. RESULTS: After assessing the impact of implementing ESAS, by matching for potentially confounding variables and conducting univariate analyses, no significant between-group differences were found in HRQoL or PSC. There was significant improvement in symptoms of nausea/vomiting and constipation, after 2 weeks. Lower symptom burden with decreased ESAS scores was significantly correlated with increased HRQoL. There were no between-group differences in knowledge of/access to supportive care. CONCLUSIONS: Significant correlation between change in ESAS and HRQoL implies ESAS could usefully inform healthcare providers about need to respond to changes in symptom and functioning between visits. This study showed no impact of early-ESAS screening on HRQoL or PSC. Further research should explore how to better utilize ESAS screening, to improve communication, symptom management, and HRQoL.

Screening for emotional disorders in patients with cancer using the Brief Symptom Inventory (BSI) and the BSI-18 versus a standardized psychiatric interview (the World Health Organization Composite International Diagnostic Interview).

BACKGROUND: Given the adverse consequences of psychiatric and psychosocial morbidity on the quality of life for patients with cancer, prompt detection of psychological symptoms is mandatory. The authors examined the properties and accuracy of the Brief Symptom Inventory (the 53-item version [BSI] and the 18-item version [BSI-18]) for the detection of psychiatric morbidity compared with the World Health Organization Composite International Diagnostic Interview (CIDI) for International Classification of Diseases-10th Revision psychiatric diagnoses. METHODS: A convenience sample of 498 patients with newly diagnosed cancer who were recruited in cancer outpatient services participated in the CIDI interview and in BSI and BSI-18 assessments. RESULTS: The prevalence of psychiatric morbidity was 39.75%. When participants were classified as cases using the BSI standard case rule, agreement with the CIDI was potentially acceptable (sensitivity, 72.7%; specificity, 88.7%). In contrast, the accuracy of the BSI-18 in identifying cases was poor according to the standard case rule, with very low sensitivity (29.3%) (misclassification rate, 28.7%). By using a first alternative case-rule system (a BSI-18 global severity index [GSI] T-score ≥57), sensitivity marginally improved (45%), whereas a second alternative case-rule system (a GSI T-score ≥50) significantly increased sensitivity (77.3%). In receiver operating characteristic curve analysis, a further cutoff GSI T-score ≥48 exhibited good discrimination levels (sensitivity, 82.3%; specificity, 72.4%). There were some differences in GSI cutoff T-scores according to the International Classification of Diseases-10th Revision diagnosis and sex. CONCLUSIONS: The BSI appeared to have acceptable diagnostic accuracy compared with a standardized psychiatric interview. For the BSI-18, it is mandatory to use alternative case-rule systems, to identify patients with psychiatric morbidity. Cancer 2018;124:2415-26. © 2018 American Cancer Society.

PROMIS depression measures perform similarly to legacy measures relative to a structured diagnostic interview for depression in cancer patients.

PURPOSE: To assess the convergent validity of the Patient-Reported Outcomes Measurement Information System (PROMIS) depression measures relative to legacy measures and criterion validity against a structured diagnostic interview for depression in an oncology sample. METHODS: 132 oncology/haematology outpatients completed the PROMIS Depression Computer Adaptive Test (PROMIS-D-CAT) and PROMIS Depression Short Form (PROMIS-D-SF) along with seven legacy measures: Beck Depression Inventory (BDI); Centre for Epidemiological Studies Depression (CES-D); Depression, Anxiety and Stress Scale; Hospital Anxiety and Depression Scale; Patient Health Questionnaire; Distress Thermometer and PSYCH-6. Correlations, area under the curve (AUC) and diagnostic accuracy statistics were calculated with Structured Clinical Interview as the gold standard. RESULTS: Both PROMIS measures correlated with all legacy measures at p < .001 (ρ = 0.589-0.810) and all AUCs (> 0.800) were comparable. At the cut-off points for mild depression of 53, the PROMIS measures had sensitivity (0.83 for PROMIS-D-CAT and 0.80 for PROMIS-D-SF) similar to or better than 6/7 legacy measures with high negative predictive value (> 90%). At cut-off points of 60 for moderate depression, PROMIS measures had specificity > 90%, similar to or better than all legacy measures and positive predictive value ≥ 0.50 (similar to 5/7 legacy measures). CONCLUSIONS: The convergent and criterion validity of the PROMIS depression measures in cancer populations was confirmed, although the optimal cut-off points are not established. PROMIS measures were briefer than BDI-II and CES-D but do not offer any advance in terms of diagnostic accuracy, reduced response burden or cost over other legacy measures of depression in oncology patients.

Prevalence and predictors of post-stroke mood disorders: A meta-analysis and meta-regression of depression, anxiety and adjustment disorder.

OBJECTIVE: To ascertain the prevalence and predictors of mood disorders, determined by structured clinical interviews (ICD or DSM criteria) in people after stroke. METHODS: Major electronic databases were searched from inception to June 2016 for studies involving major depression (MDD), minor depression (MnD), dysthymia, adjustment disorder, any depressive disorder (any depressive disorder) and anxiety disorders. Studies were combined using both random and fixed effects meta-analysis and results were stratified as appropriate. RESULTS: Depression was examined on 147 occasions from 2days to 7years after stroke (mean 6.87months, N=33 in acute, N=43 in rehabilitation and N=69 in the community/outpatients). Across 128 analyses involving 15,573 patients assessed for major depressive disorder (MDD), the point prevalence of depression was 17.7% (95% CI=15.6% to 20.0%) 0.65 analyses involving 9720 patients determined MnD was present in 13.1% in all settings (95% CI=10.9% to 15.8%). Dysthymia was present in 3.1% (95% CI=2.1% to 5.3%), adjustment disorder in 6.9% (95% CI=4.6 to 9.7%) and anxiety in 9.8% (95% CI=5.9% to 14.8%). Any depressive disorder was present in 33.5% (95% CI=30.3% to 36.8%). The relative risk of any depressive disorder was higher following left (dominant) hemisphere stroke, aphasia, and among people with a family history and past history of mood disorders. CONCLUSION: Depression, adjustment disorder and anxiety are common after stroke. Risk factors are aphasia, dominant hemispheric lesions and past personal/family history of depression but not time since stroke.

Physical multimorbidity and psychosis: comprehensive cross sectional analysis including 242,952 people across 48 low- and middle-income countries.

BACKGROUND: In people with psychosis, physical comorbidities, including cardiovascular and metabolic diseases, are highly prevalent and leading contributors to the premature mortality encountered. However, little is known about physical health multimorbidity in this population or in people with subclinical psychosis and in low- and middle-income countries (LMICs). This study explores physical health multimorbidity patterns among people with psychosis or subclinical psychosis. METHODS: Overall, data from 242,952 individuals from 48 LMICs, recruited via the World Health Survey, were included in this cross-sectional study. Participants were subdivided into those (1) with a lifetime diagnosis of psychosis ("psychosis"); (2) with more than one psychotic symptom in the past 12 months, but no lifetime diagnosis of psychosis ("subclinical psychosis"); and (3) without psychotic symptoms in the past 12 months or a lifetime diagnosis of psychosis ("controls"). Nine operationalized somatic disorders were examined: arthritis, angina pectoris, asthma, diabetes, chronic back pain, visual impairment, hearing problems, edentulism, and tuberculosis. The association between psychosis and multimorbidity was assessed by multivariable logistic regression analysis. RESULTS: The prevalence of multimorbidity (i.e., two or more physical health conditions) was: controls = 11.4% (95% CI, 11.0-11.8%); subclinical psychosis = 21.8% (95% CI, 20.6-23.0%), and psychosis = 36.0% (95% CI, 32.1-40.2%) (P < 0.0001). After adjustment for age, sex, education, country-wise wealth, and country, subclinical psychosis and psychosis were associated with 2.20 (95% CI, 2.02-2.39) and 4.05 (95% CI, 3.25-5.04) times higher odds for multimorbidity. Moreover, multimorbidity was increased in subclinical and established psychosis in all age ranges (18-44, 45-64, ≥ 65 years). However, multimorbidity was most evident in younger age groups, with people aged 18-44 years with psychosis at greatest odds of physical health multimorbidity (OR = 4.68; 95% CI, 3.46-6.32). CONCLUSIONS: This large multinational study demonstrates that physical health multimorbidity is increased across the psychosis-spectrum. Most notably, the association between multimorbidity and psychosis was stronger among younger adults, thus adding further impetus to the calls for the early intervention efforts to prevent the burden of physical health comorbidity at later stages. Urgent public health interventions are necessary not only for those with a psychosis diagnosis, but also for subclinical psychosis to address this considerable public health problem.

Is there a difference between hospital-verified and self-reported self-harm? Implications for repetition.

OBJECTIVE: Repeated intentional self-harm (SH) is associated with economic costs and increased risk of suicide. Estimates of repetition vary according to method of data capture and are limited by short periods of follow-up observation. Some sources use hospital records and others self-reported SH (SRSH). Our aim was to examine the relationship between SRSH and hospital-verified SH (HVSH) and later repetition of SH (predictive validity). We also aimed to examine whether rates of SH repetition differ between first-time presenters and non-first-time presenters using either definition of SH. METHOD: We conducted a large prospective study tracking SH attempts through an Accident and Emergency (A&E) department within the United Kingdom. We took a representative sample of 774 patients (30% of total who reported SH) and followed them for 5.6 years on average. The index episode of SH was recorded at the time of referral to staff in A&E. Prior episodes of SH were determined from an electronic search of A&E patient database, and in addition, recollection of prior SH as reported by the patient to their clinician at the time of index presentation was recorded. RESULTS: Across the whole sample 32.0% of patients repeated SH within 1 year, which rose to 54.1% at completion of follow-up. Repetition rates were considerably higher in patients with a prior SH history than those presenting with a first SH episode after 1 year (47.9% vs. 19.6%) and by the end of follow-up (73.8% vs. 39.4%) (P<.001). Of 411 with self-reported first presentations, 45.2% repeated over the study period. In terms of predictive validity, 65.2% of those with previous SRSH repeated vs. 73.8% with previous HVSH (P<.001). There was low agreement between SRSH and HVSH (Kappa=0.353, 95% confidence interval 0.287-0.419, low). CONCLUSIONS: We found relatively poor agreement between hospital-defined and self-reported SH. A total of 62.8% of those who denied SH actually had a hospital-verified previous episode. Patients with recorded prior SH and those who recall previous SH have significantly higher rates of repetition, but the two samples imprecisely overlap and predictive validity is stronger for HVSH.

Case finding and screening clinical utility of the Patient Health Questionnaire (PHQ-9 and PHQ-2) for depression in primary care: a diagnostic meta-analysis of 40 studies.

BACKGROUND: The Patient Health Questionnaire (PHQ) is the most commonly used measure to screen for depression in primary care but there is still lack of clarity about its accuracy and optimal scoring method. AIMS: To determine via meta-analysis the diagnostic accuracy of the PHQ-9-linear, PHQ-9-algorithm and PHQ-2 questions to detect major depressive disorder (MDD) among adults. METHOD: We systematically searched major electronic databases from inception until June 2015. Articles were included that reported the accuracy of PHQ-9 or PHQ-2 questions for diagnosing MDD in primary care defined according to standard classification systems. We carried out a meta-analysis, meta-regression, moderator and sensitivity analysis. RESULTS: Overall, 26 publications reporting on 40 individual studies were included representing 26 902 people (median 502, s.d.=693.7) including 14 760 unique adults of whom 14.3% had MDD. The methodological quality of the included articles was acceptable. The meta-analytic area under the receiver operating characteristic curve of the PHQ-9-linear and the PHQ-2 was significantly higher than the PHQ-9-algorithm, a difference that was maintained in head-to-head meta-analysis of studies. Our best estimates of sensitivity and specificity were 81.3% (95% CI 71.6-89.3) and 85.3% (95% CI 81.0-89.1), 56.8% (95% CI 41.2-71.8) and 93.3% (95% CI 87.5-97.3) and 89.3% (95% CI 81.5-95.1) and 75.9% (95% CI 70.1-81.3) for the PHQ-9-linear, PHQ-9-algorithm and PHQ-2 respectively. For case finding (ruling in a diagnosis), none of the methods were suitable but for screening (ruling out non-cases), all methods were encouraging with good clinical utility, although the cut-off threshold must be carefully chosen. CONCLUSIONS: The PHQ can be used as an initial first step assessment in primary care and the PHQ-2 is adequate for this purpose with good acceptability. However, neither the PHQ-2 nor the PHQ-9 can be used to confirm a clinical diagnosis (case finding). DECLARATION OF INTEREST: None. COPYRIGHT AND USAGE: © The Royal College of Psychiatrists 2016. This is an open access article distributed under the terms of the Creative Commons Non-Commercial, No Derivatives (CC BY-NC-ND) licence.

Ketamine: stimulating antidepressant treatment?

SUMMARY: The appeal of ketamine - in promptly ameliorating depressive symptoms even in those with non-response - has led to a dramatic increase in its off-label use. Initial promising results await robust corroboration and key questions remain, particularly concerning its long-term administration. It is, therefore, timely to review the opinions of mood disorder experts worldwide pertaining to ketamine's potential as an option for treating depression and provide a synthesis of perspectives - derived from evidence and clinical experience - and to consider strategies for future investigations. DECLARATION OF INTERESTS: G.S.M. Grant/research support: National Health Medical Research Council, NSW Health, Ramsay Health, American Foundation for Suicide Prevention, AstraZeneca, Eli Lilly & Co, Organon, Pfizer, Servier, and Wyeth; has been a speaker for Abbott, AstraZeneca, Eli Lilly & Co, Janssen Cilag, Lundbeck, Pfizer, Ranbaxy, Servier, and Wyeth; consultant: AstraZeneca, Eli Lilly & Co, Janssen Cilag, Lundbeck, and Servier. M.A.F. Grant support: AssureRx, Janssen Research & Development, Mayo Foundation, Myriad, National Institute of Alcohol Abuse and Alcoholism (NIAAA), National Institute of Mental Health (NIMH), Pfizer. Consultant (Mayo): Janssen Research & Development, LLC, Mitsubishi Tanabe Pharma Corporation, Myriad Genetics, Neuralstem Inc., Sunovion, Supernus Pharmaceuticals, Teva Pharmaceuticals. CME/travel support: American Physician Institute, CME Outfitters. Financial interest/Mayo Clinic 2016: AssureRx. S.H.K. Grant/research support: Brain Canada, Bristol Meyer Squibb, CIHR, Janssen, Johnson & Johnson, Lundbeck, Ontario Brain Institute, Pfizer, Servier, St. Jude Medical, Sunovion. T.A.K. Grant/research support (through Stanford University): Sunovion Pharmaceuticals and Merck & Co., Inc.; consultant/advisory board bember: Allergan, Inc., Janssen Pharmaceuticals, Myriad Genetic Laboratories, Inc., and Sunovion Pharmaceuticals; lecture honoraria (not Speaker's Bureau payments): GlaxoSmithKline, and Sunovion Pharmaceuticals; royalties from American Psychiatric Publishing, Inc. Also, AstraZeneca Pharmaceuticals LP provided publication support to Parexel for preparation of a manuscript. Spouse employee and stockholder of Janssen Pharmaceuticals. R.W.L. Honoraria for speaking/advising/consulting, and/or received research funds: AstraZeneca, Brain Canada, Bristol Myers Squibb, Canadian Institutes of Health Research, Canadian Depression Research and Intervention Network, Canadian Network for Mood and Anxiety Treatments, Canadian Psychiatric Association, Coast Capital Savings, Johnson and Johnson, Lundbeck, Lundbeck Institute, Pfizer, Servier, St. Jude Medical, Takeda University, Health Network Foundation, and Vancouver Coastal Health Research Institute. R.M. Investigator Janssen trials of esketamine; 'paid-for' ketamine clinic operated by Oxford Health NHS Foundation Trust - fees used to support the Trust. M.J.O. Consultant: Sunovion and Acadia Pharmaceuticals. Full-time employee of U.S. Department of Veterans Affairs. M.E.T. Advisory/Consultant: Alkermes, Allergan, AstraZeneca, Bristol-Myers Squibb Company, Cerecor inc., Eli Lilly & Co., Forest Laboratories, Gerson Lehrman Group, Fabre-Kramer Pharmaceuticals, Inc., GlaxoSmithKline, Guidepoint Global, H. Lundbeck A/S, MedAvante Inc., Merck and Co. Inc. (formerly Schering Plough and Organon), Moksha8, Naurex Inc., Neuronetics Inc., Novartis, Ortho-McNeil Pharmaceuticals (Johnson & Johnson; Janssen), Otsuka, Pamlab, L.L.C. (Nestle), Pfizer (formerly Wyeth Ayerst Pharmaceuticals), Shire US Inc., Sunovion Pharmaceuticals Inc., Trius Therapeutical Inc. and Takeda. Grant support: Agency for Healthcare Research and Quality, Alkermes, AssureRx, Avanir, Forest Pharmaceuticals, Janssen, National Institute of Mental Health, and Otsuka Pharmaceuticals. Speakers Bureau: None since June, 2010. Equity Holdings: MedAvante, Inc. Royalties: American Psychiatric Foundation, Guilford Publications, Herald House, W.W. Norton & Company, Inc. Spouse's employment: Peloton Advantage, which does business with Pfizer. M.T. Full-time employee at Lilly 1997 to 2008. Honoraria/consulted: Abbott, AstraZeneca, Bristol Myers Squibb, GlaxoSmithKline, Lilly, Johnson & Johnson, Allergan, Otsuka, Merck, Sunovion, Forest, Geodon Richter Plc, Roche, Elan, Alkermes, Lundbeck, Teva, Pamlab, Minerva, Wyeth and Wiley Publishing. Spouse was full time-employee at Lilly 1998-2013. COPYRIGHT AND USAGE: © The Royal College of Psychiatrists 2016. This is an open access article distributed under the terms of the Creative Commons Non-Commercial, No Derivatives (CC BY-NC-ND) licence.

Depression correlates with quality of life in people with epilepsy independent of the measures used.

PURPOSE: A number of studies have suggested that depressed mood is one of the most important predictors of quality of life (QoL) in patients with epilepsy. However, the QoL measure used in previous studies was limited to the Quality of Life in Epilepsy (QOLIE) scales. It could be questioned whether correlation of QOLIE with measures of depression is influenced by the properties of the instruments used rather than being a valid effect. By using visual analogue scales, the current study aimed to clarify whether depression and QoL are truly correlated in patients with epilepsy. METHODS: Data from a sample of 261 outpatients with epilepsy attending the Epilepsy Clinics of the Atkinson Morley Outpatient Department, St George's Hospital in London, were analyzed. Patients were screened using the European Quality-of-Life scale (EQ-5D-3L) which includes an overall visual analogue score (EQ-VAS), the Emotional Thermometer (ET7), the Beck Depression inventory-II (BDI-II), the Hospital Anxiety and Depression scale (HADS), and the Major Depression inventory (MDI). RESULTS: Depression was found to significantly correlate with EQ-VAS score with r coefficient ranging from 0.42 to 0.51 and r(2) coefficients ranging between 0.18 and 0.26. In addition, we identified patients who were depressed according to DSM-IV criteria (MD) and those with atypical forms of depression (AD). The EQ-5D-3L scores in these subjects compared with those without depression (ND) showed a different impact of AD and MD on QoL. CONCLUSIONS: The relationship between depression and QoL in people with epilepsy has been demonstrated to be a robust and valid effect, not a result of potential bias of the specific measures used. However, the strength of the association is influenced by the individual instrument. Atypical or subsyndromic forms of depression are as relevant as DSM-based depression in terms of impact on QoL.

Which items on the distress thermometer problem list are the most distressing?

PURPOSE: The importance of distress identification and management in oncology has been established. We examined the relationship between distress and unmet bio-psychosocial needs, applying advanced statistical techniques, to identify which needs have the closest relationship to distress. METHODS: Oncology outpatients (n = 1066) undergoing QUICATOUCH screening in an Australian cancer centre completed the distress thermometer (DT) and problem list (PL). Principal component analysis (PCA), logistic regression and classification and regression tree (CART) analyses tested the relationship between DT score (at a cut-off point of 4) and PL items. RESULTS: Sixteen items were reported by <5 % of participants. PCA analysis identified four major components. Logistic regression analysis indicated three of these component scores, and four individual items (20 items in total) demonstrated a significant independent relationship with distress. The best CART model contained only two PL items: 'worry' and 'depression'. CONCLUSIONS: The DT and PL function as intended, quantifying negative emotional experience (distress) and identifying bio-psychosocial sources of distress. We offer two suggestions to minimise PL response time whilst targeting PL items most related to distress, thereby increasing clinical utility. To identify patients who might require specialised psychological services, we suggest the DT followed by a short, case-finding instrument for patients over threshold on the DT. To identify other important sources of distress, we suggest using a modified PL of 14 key items, with the 15th item 'any other problem' as a simple safety net question. Shorter times for patient completion and clinician response to endorsed PL items will maximise acceptance and clinical utility.

Performance on Specific Cognitive Domains and Cause of Death: A Prospective Population-Based Study in Non-Demented Older Adults (NEDICES).

Evidence regarding the relationship between performance on specific cognitive domains and cause of death is scarce. We assessed whether specific cognitive domains predicted mortality and the presence of any association with specific causes of death in a population-dwelling sample of non-demented older adults. In this population-based, prospective study (NEDICES), 2,390 non-demented subjects ≥65 years completed a brief neuropsychological battery. Cox's proportional hazards models, adjusted by sociodemographic and comorbidity factors, global cognitive performance, educational level, and premorbid intelligence were used to assess the risk of death. Participants were followed for a median of 9.2 years (range 0.01-10.7), after which the death certificates of those who died were examined. 880 (36.8%) of 2,390 participants died over a median follow-up of 5.5 years (range 0.01-10.5). Using adjusted Cox regression models, we found that hazard ratios for mortality in participants within the lowest tertiles (worse performance) were 1.31 (speed of cognitive processing, p = 0.03); 1.22 (semantic fluency, p = 0.04), 1.32 (delayed free recall, p = 0.003), and 1.23 (delayed logical memory, p = 0.03). Poor performance on delayed recall and speed of cognitive processing tests were associated with dementia and cerebrovascular disease mortality, respectively. Further, poor performance on semantic fluency was associated with decreased cancer mortality. In this study of community dwelling non-demented older adults, worse neuropsychological performance was associated with increased risk of mortality. Performance on specific cognitive domains were related to different causes of death. Of particular note there appears to be an inverse association between poor semantic fluency and cancer mortality.

Prognostic Significance of Mild Cognitive Impairment Subtypes for Dementia and Mortality: Data from the NEDICES Cohort.

BACKGROUND: The predictive value of diverse subtypes of mild cognitive impairment (MCI) for dementia and death is highly variable. OBJECTIVE: To compare the predictive value of several MCI subtypes in progression to dementia and/or mortality in the NEDICES (Neurological Disorders in Central Spain) elderly cohort. METHODS: Retrospect algorithmic MCI subgroups were established in a non-dementia baseline NEDICES cohort using Spanish adaptations of the original Mini-Mental State Examination (MMSE-37) and Pfeffer's Functional Activities Questionnaire (Pfeffer-11). The presence of MCI was defined according two cognitive criteria: using two cut-offs points on the total MMSE-37 score. Five cognitive domains were used to establish the MCI subtypes. Functional capacity (Pfeffer-11) was preserved or minimally impaired in all MCI participants. The incident dementia diagnoses were established by specialists and the mortality data obtained from Spanish official registries. RESULTS: 3,411 participants without dementia were assessed in 1994-5. The baseline prevalence of MCI varied according to the MCI definition (4.3%-31.8%). The follow-up was a mean of 3.2 years (1997-8). The dementia incidence varied between 14.9 and 71.8 per 1,000/person-years. The dementia conversion rate was increased in almost all MCI subgroups (p >  0.01), and mortality rate was raised only in four MCI subtypes. The amnestic-multi-domain MCI (aMd-MCI) had the best dementia predictive accuracy (highest positive likelihood ratio and highest clinical utility when negative). CONCLUSIONS: Those with aMd-MCI were at greatest risk of progression to dementia, as in other surveys and might be explored with increased attention in MCI research and in dementia preventive trials.

A comparison study of cognitive deficits in radiologically and clinically isolated syndromes.

UNLABELLED: Up until now, no information has existed regarding a comparison of the pattern and frequency of cognitive deficits between radiologically isolated syndrome (RIS) and clinically isolated syndrome (CIS) patients. Within this objective, Rao's Brief Repeatable Battery and Stroop test were administered to 28 RIS patients, 25 CIS patients, and 22 healthy controls. CONCLUSIONS: The prevalence of cognitive deficits in RIS was similar to that of CIS. Cognitive deficits seem to be present in RIS patients regardless of the presence of risk factors for a future symptomatic demyelinating event.

A Lifetime Prevalence of Comorbidity Between Bipolar Affective Disorder and Anxiety Disorders: A Meta-analysis of 52 Interview-based Studies of Psychiatric Population.

BACKGROUND: Bipolar affective disorder has a high rate of comorbidity with a multitude of psychiatric disorders and medical conditions. Among all the potential comorbidities, co-existing anxiety disorders stand out due to their high prevalence. AIMS: To determine the lifetime prevalence of comorbid anxiety disorders in bipolar affective disorder under the care of psychiatric services through systematic review and meta-analysis. METHOD: Random effects meta-analyses were used to calculate the lifetime prevalence of comorbid generalised anxiety disorder, panic disorder, social anxiety disorder, specific phobia, agoraphobia, obsessive compulsive disorder and posttraumatic stress disorder in bipolar affective disorder. RESULTS: 52 studies were included in the meta-analysis. The rate of lifetime comorbidity was as follows: panic disorder 16.8% (95% CI 13.7-20.1), generalised anxiety disorder 14.4% (95% CI 10.8-18.3), social anxiety disorder13.3% (95% CI 10.1-16.9), post-traumatic stress disorder 10.8% (95% CI 7.3-14.9), specific phobia 10.8% (95% CI 8.2-13.7), obsessive compulsive disorder 10.7% (95% CI 8.7-13.0) and agoraphobia 7.8% (95% CI 5.2-11.0). The lifetime prevalence of any anxiety disorders in bipolar disorder was 42.7%. CONCLUSIONS: Our results suggest a high rate of lifetime concurrent anxiety disorders in bipolar disorder. The diagnostic issues at the interface are particularly difficult because of the substantial symptom overlap. The treatment of co-existing conditions has clinically remained challenging.