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Dementia management is complicated by neuropsychiatric symptoms such that the longitudinal care of a psychiatrist or other mental health provider is often an essential part of patient care and a major source of family support. Given the importance of end-of-life continuity of care, the involvement of psychiatry in palliative and hospice services affords an important opportunity for growth. Common challenges involve sharing prognostic information with patients and families to aid in advance planning, and management of persistent pain and nutritional issues. Future research will yield important new insights and guidelines for care.

Never has there been a more pressing time for the American Association for Geriatric Psychiatry (AAGP) to articulate a unified strategy to meet the challenges of our aging world. To this end, this report summarizes an AAGP leadership meeting that reviewed the results from a recent membership survey and launched a strategic planning process on behalf of AAGP members and stakeholders. This meeting was the first step in drafting a blueprint for the future that may serve as our guide in the context of finite resources to meet the infinitely complex and growing need for education, research, public advocacy, and clinical practice support. The following report serves to invite our valued colleagues to provide feedback and actively participate in defining our mission. Among the outcomes of the planning session, the following aspirations were identified by the participants 1) assert the AAGP as the "go to" organization for all things related to geriatric mental health, 2) prioritize activities that enhance the inclusivity/diversity of membership, and 3) collaborate across disciplines focused on geriatric mental health. From this initial framework, the group developed four general themes to guide AAGP's strategic future: 1) collaboration, 2) advocacy, 3) inclusivity, 4) high purpose. Inclusivity was further defined as encompassing growth, return on investment, and workforce development. Higher purpose was further defined as encompassing engagement, purpose, branding, communication, and expertise. The AAGP affirmed its commitment to serving the needs of its members and widening its scope of impact in view of staggering demands for better access to geriatric mental healthcare.

The Dementia Management Quality Measurement Set was first developed and released in 2013 by the PCPI Foundation1 (formerly the American Medical Association [AMA]–convened Physician Consortium for Performance Improvement [PCPI]). Developed by an appointed multistakeholder technical expert panel (TEP), the 2013 Measurement Set was supported by staff from AMA, American Academy of Neurology Institute (AANI), American Psychiatric Association (APA), American Medical Directors Association, and American Geriatric Society. Several of the original measures were included into the Centers for Medicare and Medicaid Services (CMS) Physician Quality Reporting System after being finalized through the federal rulemaking process (table 1).

Background Affective characteristics are associated with depression severity, course, and prognosis. Patients’ affect captured by clinicians during sessions may provide a rich source of information that more naturally aligns with the depression course and patient-desired depression outcomes. Objective In this paper, we propose an information extraction vocabulary used to pilot the feasibility and reliability of identifying clinician-recorded patient affective states in clinical notes from electronic health records. Methods Affect and mood were annotated in 147 clinical notes of 109 patients by 2 independent coders across 3 pilots. Intercoder discrepancies were settled by a third coder. This reference annotation set was used to test a proof-of-concept natural language processing (NLP) system using a named entity recognition approach. Results Concepts were frequently addressed in templated format and free text in clinical notes. Annotated data demonstrated that affective characteristics were identified in 87.8% (129/147) of the notes, while mood was identified in 97.3% (143/147) of the notes. The intercoder reliability was consistently good across the pilots (interannotator agreement [IAA] >70%). The final NLP system showed good reliability with the final reference annotation set (mood IAA=85.8%; affect IAA=80.9%). Conclusions Affect and mood can be reliably identified in clinician reports and are good targets for NLP. We discuss several next steps to expand on this proof of concept and the value of this research for depression clinical research.

BACKGROUND Affective characteristics are associated with depression severity, course, and prognosis. Patients’ affect captured by clinicians during sessions may provide a rich source of information that more naturally aligns with the depression course and patient-desired depression outcomes. OBJECTIVE In this paper, we propose an information extraction vocabulary used to pilot the feasibility and reliability of identifying clinician-recorded patient affective states in clinical notes from electronic health records. METHODS Affect and mood were annotated in 147 clinical notes of 109 patients by 2 independent coders across 3 pilots. Intercoder discrepancies were settled by a third coder. This reference annotation set was used to test a proof-of-concept natural language processing (NLP) system using a named entity recognition approach. RESULTS Concepts were frequently addressed in templated format and free text in clinical notes. Annotated data demonstrated that affective characteristics were identified in 87.8% (129/147) of the notes, while mood was identified in 97.3% (143/147) of the notes. The intercoder reliability was consistently good across the pilots (interannotator agreement [IAA] >70%). The final NLP system showed good reliability with the final reference annotation set (mood IAA=85.8%; affect IAA=80.9%). CONCLUSIONS Affect and mood can be reliably identified in clinician reports and are good targets for NLP. We discuss several next steps to expand on this proof of concept and the value of this research for depression clinical research.

BACKGROUND AND PURPOSE To explore the potential for simplified measures of [11 C]PIB uptake to serve as a surrogate for cerebral blood flow (CBF) measures, thereby, providing both pathological and functional information in the same scan. METHODS Participants (N = 24, 16 M, 8 F, 57-87 years) underwent quantitative [15 O]water imaging and dynamic [11 C]PIB imaging. Time-activity curves were created for each participant's regional [11 C]PIB data scaled in standardized uptake values (SUVs). The frame in which maximal uptake occurred was defined for each subject (ie, "peak"). The concentration (SUV) for each region at the individual's peak, during the 3.5-4 minute time interval and for the initial 6 minute sum, was determined. R1 (ie, relative delivery using cerebellum as reference tissue) from the simplified reference tissue model 2 was determined for each region. PIB SUVs were compared to the absolute CBF global and regional values (in mL/minute/100 mL) and the R1 values were compared to the cerebellar-normalized rCBF. RESULTS Significant linear relationships were found for all SUV measures with measures of absolute global and regional CBF that were comparable to the relationship between normalized CBF and R1. The individual SUVpeak exhibited the strongest relationship both regionally and globally. All individuals and all regions had highly significant regression slopes. Age, gender, or amyloid burden did not influence the relationship. CONCLUSION Early PIB uptake has the potential to effectively serve as a surrogate for global and regional CBF measures. The simple and readily obtainable individual's SUVpeak value was the strongest predictor regionally and globally of CBF.

To identify the clozapine utilization rate at Veterans Health Administration, as well as patient characteristics, and correlates of use to garner a better understanding of the Veterans Health Administration-treated clozapine population. A longitudinal retrospective cohort analysis was conducted on all Operation Enduring Freedom/Operation Iraqi Freedom Veterans treated with clozapine prescriptions through Veterans Health Administration from 2006 to 2016. Descriptive and inferential analyses were conducted. The sample of 1.3 million veterans had 15 416 with schizophrenia-spectrum disorders, however; only 197 filled outpatient clozapine prescriptions through Veterans Health Administration, a clozapine utilization rate of 1.28%. Median days on clozapine were 305. Median number of antipsychotic medications was 12, with a median rank of clozapine being the eighth antipsychotic trialed. 59.90% of individuals had at least one period of maintenance clozapine treatment. The median number of psychiatric hospitalizations was four, and Clozapine rank was strongly associated with number of hospitalizations. There were no associations between acute versus maintenance clozapine use and either hospitalizations or mortality. Clozapine utilization was very low relative to recommended prescribing rates. Delayed initiation of clozapine was noted and was associated with increased number of hospitalizations. Lack of observed differences in mortality may be explained by low number of mortalities.

Purpose Antidepressant augmentation strategies for treatment-resistant depression (TRD) are discussed here with an analysis of patient out-of-pocket costs for various medications. The choice of agent ranges from newer atypical antipsychotics (aripiprazole, brexpiprazole, quetiapine) to older agents including buspirone, liothyronine (T3), and lithium. We sought to better understand the differences among these agents to aid in clinical decision making. Methods We conducted a focused review of the support for each of the aforementioned agents in antidepressant augmentation. We then compared the approximate out-of-pocket cost for each medication during a typical augmentation trial using the typical prescription costs on ClinCalc.com derived from the Medical Expenditure Panel Survey. We calculated the cost to achieve response for one patient with TRD based on the number needed to treat (NNT). Findings We observed significant variance in cost to achieve response based on the NNT derived from our review of each of the medications. For example, the overall out-of-pocket cost for one patient to achieve response with aripiprazole (the costliest generic agent) could cover lithium prescriptions for 4 to 5 patients with TRD to achieve response. Although brexpiprazole was estimated separately because of its brand name cost, we estimated that 324 patients receiving lithium could achieve response for same cost of single patient receiving brexpiprazole. Implications These findings suggest that among augmentation agents, there are differences in cost that may be highly important in clinical decision making. Other issues of medication monitoring may incur additional costs, and brand name medications offer significantly greater complexity and potential out-of-pocket costs to patients. The use of lithium as a first-line agent for TRD should be considered based on low cost, lowest NNT, and data in support of its efficacy.

Dementia management is complicated by neuropsychiatric symptoms such that the longitudinal care of a psychiatrist or other mental health provider is often an essential part of patient care and a major source of family support. Given the importance of end-of-life continuity of care, the involvement of psychiatry in palliative and hospice services affords an important opportunity for growth. Common challenges involve sharing prognostic information with patients and families to aid in advance planning, and management of persistent pain and nutritional issues. Future research will yield important new insights and guidelines for care.

Objective Develop an approach, One-class-at-a-time, for triaging psychiatric patients using machine learning on textual patient records. Our approach aims to automate the triaging process and reduce expert effort while providing high classification reliability. Materials and Methods The One-class-at-a-time approach is a multistage cascading classification technique that achieves higher triage classification accuracy compared to traditional multiclass classifiers through 1) classifying one class at a time (or stage), and 2) identification and application of the highest accuracy classifier at each stage. The approach was evaluated using a unique dataset of 433 psychiatric patient records with a triage class label provided by “I2B2 challenge,” a recent competition in the medical informatics community. Results The One-class-at-a-time cascading classifier outperformed state-of-the-art classification techniques with overall classification accuracy of 77% among 4 classes, exceeding accuracies of existing multiclass classifiers. The approach also enabled highly accurate classification of individual classes—the severe and mild with 85% accuracy, moderate with 64% accuracy, and absent with 60% accuracy. Discussion The triaging of psychiatric cases is a challenging problem due to the lack of clear guidelines and protocols. Our work presents a machine learning approach using psychiatric records for triaging patients based on their severity condition. Conclusion The One-class-at-a-time cascading classifier can be used as a decision aid to reduce triaging effort of physicians and nurses, while providing a unique opportunity to involve experts at each stage to reduce false positive and further improve the system’s accuracy.

Vascular cognitive impairment and dementia (VCID) is a diagnostic term applied to cognitively impaired individuals with heterogeneous cerebrovascular conditions affecting large and/or small vessels. Individual biomarkers have been identified as instrumental in relating VCID to specific underlying pathologies to better characterize this syndrome. Emerging research to refine panels of biomarkers will increase classification sensitivity and specificity. Refined VCID clustering based on the severity and pathology of vascular injury will permit the development of optimal prevention and treatment strategies. Here, we review recently reported data concerning the diversity of VCID-related pathology and attempts for VCID clustering based on biomarkers obtained from different sets of measurements. We discuss three major sets of biomarkers: 1) neuroimaging biomarkers, 2) neuropsychological performance measures, and 3) biochemical markers in current VCID clustering. Finally, we highlight the effect of blood-brain barrier health on cerebrovascular disease trajectory.

Objective Examine mortality and associations with baseline characteristics among Veterans with early dementia. Methods Participants included dyads of community-based Veterans with early dementia and their caregivers (N=143) enrolled in a previous longitudinal study. Department of Veterans Health Affairs' electronic records were used to retrospectively collect Veteran mortality outcomes, over a 6-year period. Measures included baseline: demographics, dementia-related factors, other comorbid conditions, functioning, and medication use. Associations with baseline characteristics and mortality were examined with bivariate analyses and a series of Cox proportional hazard models. Results Over 6 years of study follow-up, 53.1% of participants died. The mean time to death was 3.09 years, with a range of 54 days to 5.91 years. Female sex, better cognition, and higher scores on the Tinetti Gait and Balance scale were protective factors in the final multivariable model, adjusting for other characteristics. Conclusions While newly diagnosed with early dementia, over half of our sample died in the 6-year follow-up period, with the average death occurring only 3 years after initial diagnosis. The finding of lower mortality associated with better performance on gait/balance testing indicates an important opportunity for focused interventions and early detection of gait and balance changes early during cognitive decline.

Objective: To present a case of thyroid-related psychosis and review the literature to assess evidence regarding the use of antipsychotic medications in patients who develop this condition. Data Sources: The OVID database was utilized to search for the terms “myxedema madness” and the combination of the terms “psychosis” and “thyroid.” The database was searched from 1946 until July 2018 and was limited to English language articles. Study Selection: A total of 25 articles were included in this study. These included 27 distinct case reports. Data Extraction: The abstracts of identified articles were reviewed. If an abstract was unavailable or inconclusive, the full article was reviewed. If there was no case report, or if the case was not clearly related to hypothyroidism, it was excluded. Authors assessed and identified cases included. Studies were excluded if recovery time was unreported; if cases included patients with pre-existing, chronic mental illness or intellectual disability, or if thyroid replacement medication was not initially administered. Results: Data suggested that there may be no benefit to treating thyroid-related psychosis with scheduled dosing of antipsychotics in addition to thyroid replacement. The review also suggested that male patients with thyroid-related psychosis seemed to respond more rapidly to thyroid replacement than female patients. Conclusions: Scheduled dose antipsychotic therapy was not observed to hasten recovery. Males with thyroid-related psychosis were observed to respond more quickly to thyroid replacement than females among the identified cases identified. Consideration should be given to initial trials of thyroid replacement alone in cases of thyroid-related psychosis.

Background Serotonin syndrome (SS) is a potentially serious side effect of serotonergic drugs. Cases of SS have been reported from the administration of methylene blue (MB), an agent with monoamine oxidase inhibiting properties. To date, the reported cases of MB-induced SS have all been with MB given parenterally. We report a case induced by the initiation of a MB-containing oral agent. Methods A case of SS felt to be induced by the initiation of an MB-containing orally-administered urinary analgesic, started in a patient concurrently treated with multiple serotonergic drugs, is presented. A systematic literature review of MB-induced SS follows. The review consisted of searches in MEDLINE databases using the key terms “methylene blue” and “serotonin syndrome”. The authors read all abstracts, and articles related to MB and serotonin toxicity; non-associated articles were discarded. Results are summarized. Results 23 manuscripts were identified, resulting in 50 unique cases of MB-induced SS. The majority of cases were related to peri-operative use of MB in parathyroidectomies or for the treatment of vasoplegic shock. All cases were associated with MB given parenterally. Concurrent treatment with serotonergic antidepressants was described in all 50 cases. Symptoms of SS ranged from mild to severe. One fatality was reported. Conclusions Methylene blue can induce SS, felt to be secondary to MAOI properties. Although previous reports have exclusively been associated with MB given via parental administration, our case suggests that SS can be induced by oral administration of MB-containing agents.

ObjectiveTo study longitudinal relationships between type 2 diabetes mellitus (T2DM), cortical thickness, and cognitive function in older people with normal cognition, mild cognitive impairment, and Alzheimer disease (AD).MethodsThe sample was derived from the Alzheimer's Disease Neuroimaging Initiative cohort who underwent brain MRI and cognitive tests annually for 5 years. Presence of T2DM was based on fasting blood glucose ≥7.0mml/L or the use of glucose-lowering agents. We used latent growth curve modeling to explore longitudinal relationships between T2DM, cortical thickness, and cognitive function, adjusting for relevant covariates and testing for interactions.ResultsThere were 124 people with T2DM (mean age 75.5 years, SD 6.2) and 693 without T2DM (mean age 75.1 years, SD 6.9) with at least 1 MRI available. AD and lower cortical thickness at study entry was associated with a lower chance of having a MRI available at each follow-up phase (all p < 0.001). T2DM was associated with lower baseline cortical thickness (p = 0.01). We found no direct effect of T2DM on decline in cortical thickness or cognitive function, but there was an indirect pathway linking T2DM and cognitive decline via baseline cortical thickness (β = −0.17, p = 0.022). There was an interaction between T2DM and education whereby the negative effect of T2DM on baseline cortical thickness was reduced in those with greater education (β = 0.34, p = 0.037). These associations changed minimally when adjusted for baseline cognitive diagnosis.ConclusionsIn an older cohort with low cerebrovascular disease burden, T2DM contributes to cognitive decline via neurodegeneration. Prior brain and cognitive reserve may protect against this effect.

With the growing care needs for the older population at the end of their lives, there has been a substantial increase in attention to the management of the patient with dementia in hospice and palliative care services. This article reviews issues in access to care and the optimal management of the patient with dementia, particularly in the context of neuropsychiatric complexities. Special issues such as delirium, cachexia, behavioral symptoms, and pain management are addressed. Future challenges in research such as the development of better prognostic models are noted as well as the importance of attention to access to care.

“The Clinical Discovery of Imipramine” by Walter A. Brown and Maria Rosdolsky (1) excerpts the Swiss Medical Weekly’s 1957 publication in German of Dr. Roland Kuhn’s original clinical descriptionof the effects of imipramine.Hewas thefirst toadminister imipramineasanexperimentaldrugtopsychiatric patients.He treated several hundredpatients inhis hospital and reported on the positive effects seen in 40 of them. He initially assessed imipramine’s effect in schizophrenia, because it had been synthesized as an antipsychotic neuroleptic, and then recognized that its antidepressive effects surpassed any antipsychotic use. The administrations lasted 4 to 6 weeks, with responses sometimes taking that long to develop. He observed thatadelayedeffect increasedsuicidal tendencies.Henotedthat despite the wide range of clinical manifestations of depression, effects of imipramine unexpectedly occurred in both melancholic and nonmelancholic patients and even in some patients whose depression was induced by stressful life circumstances. He reported that only about three-quarters of patients responded and of those fewer than one-half had full remission. He noted that responses were more transient in grieving patients. Inbrief, in40patientshe sawalmost all currently known therapeutic effects of the first antidepressant. Most clinicians today would be hard-pressed to say much more about the therapeutic effect of antidepressants. It is tempting to read the report and long for a return to the age of the first discovery of the major classes of psychotropic drugs. Conflict of interest, informed consent, clinical trials registration—none of these enhancements have resulted in new and better treatment for depression,ultimately thegoalofresearch.Theclockcannotroll back, however. Tomy reading, the object lesson for today is that careful clinical observation in the hands of a treating physician contributes much to improve the treatment of patients.

To investigate baseline factors associated with caregiver-reported wandering among community-dwelling veterans with mild dementia.Veterans with mild dementia (N = 143) and their caregivers participated in a 2-year prospective longitudinal study. Measures assessed wandering, daily function, behavior, cognition, and personality features. Wandering was dichotomized as present or absent across study periods, and associations with baseline characteristics were examined.One-quarter of participants demonstrated caregiver-reported wandering at 1 or more study visits, with 14% to 15% wandering at any 1 visit. Wandering was associated with significantly lower baseline scores in performance of daily function, behavioral response to stress, gait, and balance, and conscientiousness.This novel study evaluated wandering in a community-dwelling sample of veterans with mild dementia. Wandering was associated with a specific personality trait, poorer behavioral response to stress as well as greater functional and gait/balance impairment. These findings may assist in developing community-based interventions for caregivers.

Repetitive transcranial magnetic stimulation (TMS) is a relatively new treatment modality for patients with major depressive disorder (MDD). Numerous studies have demonstrated the efficacy of TMS for MDD in the general population. However, there is limited information regarding clinical outcomes among veterans receiving TMS for MDD.The clinical outcome and characteristics of all veterans with MDD who were treated with TMS as outpatients at the James A. Haley Veterans' Hospital from October 2013 to December 2016 were assessed.Among 40 patients who received TMS, there was a significant improvement of depressive symptoms using the Quick Inventory of Depressive Symptomatology-Self-Report (45% response, 20% remission) and the Montgomery-Åsberg Depression Rating Scale (61.9% response, 42.9% remission). In addition to significant improvement in depressive symptoms, self-report of anxiety symptoms and function significantly improved. TMS was generally well tolerated, with only a small percentage of patients discontinuing treatment due to side effects. No seizures or persistent adverse effects were observed or reported.TMS is an effective and well-tolerated option for MDD in a veteran population with significant treatment resistance and multiple comorbidities.

Brain imaging genetics intends to uncover associations between genetic markers and neuroimaging quantitative traits. Sparse canonical correlation analysis (SCCA) can discover bi-multivariate associations and select relevant features, and is becoming popular in imaging genetic studies. The L1-norm function is not only convex, but also singular at the origin, which is a necessary condition for sparsity. Thus most SCCA methods impose $${\ell }_{{\bf{1}}}$$ ℓ 1 -norm onto the individual feature or the structure level of features to pursuit corresponding sparsity. However, the $${\ell }_{{\bf{1}}}$$ ℓ 1 -norm penalty over-penalizes large coefficients and may incurs estimation bias. A number of non-convex penalties are proposed to reduce the estimation bias in regression tasks. But using them in SCCA remains largely unexplored. In this paper, we design a unified non-convex SCCA model, based on seven non-convex functions, for unbiased estimation and stable feature selection simultaneously. We also propose an efficient optimization algorithm. The proposed method obtains both higher correlation coefficients and better canonical loading patterns. Specifically, these SCCA methods with non-convex penalties discover a strong association between the APOE e4 rs429358 SNP and the hippocampus region of the brain. They both are Alzheimer’s disease related biomarkers, indicating the potential and power of the non-convex methods in brain imaging genetics.

Introduction Antipsychotics are used for managing behavioral and psychological symptoms of dementia (BPSD) but have risks. Anticholinergics can worsen outcomes in dementia. The Improving Antipsychotic Appropriateness in Dementia Patients educational program (IA-ADAPT) and Centers for Medicare and Medicaid Services Partnership to Improve Dementia Care (CMS Partnership) promote improved care for BPSD. The purpose of this study was to evaluate the impact of these programs on medication use and BPSD among nursing home residents. Methods This quasi-experimental longitudinal study used Medicare and assessment data for Iowa nursing home residents from April 2011 to December 2012. Residents were required to be eligible for six continuous months for inclusion. Antipsychotic use and anticholinergic use were evaluated on a monthly basis, and changes in BPSD were tracked using assessment data. Results are presented as odds ratios (ORs) per month after exposure to the IA-ADAPT or the start of the CMS Partnership. Results Of 426 eligible Iowa nursing homes, 114 were exposed to the IA-ADAPT in 2012. Nursing home exposure to the IA-ADAPT was associated with reduced antipsychotic use (OR [95% CI] = 0.92 [0.89–0.95]) and anticholinergic use (OR [95% CI] = 0.95 [0.92–0.98]), reduced use of excessive antipsychotic doses per CMS guidance (OR [95% CI] = 0.80 [0.75–0.86]), increased odds of a potentially appropriate indication among antipsychotic users (OR [95% CI] = 1.04 [1.00–1.09]), and decreased documentation of verbal aggression (OR [95% CI] = 0.96 [0.94–0.99]). Facilities with two or more IA-ADAPT exposures had greater reductions in antipsychotic and anticholinergic use than those with only one. The CMS Partnership was associated with reduced antipsychotic use (OR [95% CI] = 0.96 [0.94–0.98]) and decreased documentation of any measured BPSD (OR [95% CI] = 0.98 [0.97–0.99]) as well as delirium specifically (OR [95% CI] = 0.98 [0.96–0.99]). Discussion This study suggests that the IA-ADAPT and the CMS Partnership improved medication use with no adverse impact on BPSD., Highlights • IA-ADAPT is a training program with decision aids to improve dementia care. • The CMS Partnership is a national initiative with similar goals. • IA-ADAPT training was associated with reduced antipsychotic and anticholinergic use. • The CMS Partnership was associated with reduced antipsychotic use. • No adverse effects on behavioral or psychological symptoms were detected.

Purpose The term “chemobrain” is sometimes used to denote deficits in neuropsychological functioning that may occur as a result of cancer treatment. As breast cancer survivors now commonly reach late life, it is not known whether previous exposure to chemotherapy may affect long-term risk for cognitive impairment. To help address this concern, this study tested whether successfully surviving chemotherapy earlier in life was associated with later differences in brain metabolic function as an older adult compared to controls. This question was examined using positron emission tomography measures of brain glucose metabolism in elderly women cancer survivors. Methods Breast cancer survivors (N = 10), currently free of recurrent cancer and without a diagnosis of a cognitive disorder, were compared to matched healthy controls (N = 10). All subjects were imaged at rest with [18F]fluorodeoxyglucose. Images were analyzed semi-quantitatively using the Alzheimer's Discrimination Tool and a volume of interest-based approach derived from co-registered magnetic resonance imaging. Results Relative [18F]fluorodeoxyglucose uptake (normalized to global) was significantly lower in the survivors compared with control subjects in bilateral orbital frontal regions, consistent with differences between the groups in cognition and executive function (i.e., Trail Making Test, Part B and mini-mental state examination) and despite no significant differences with respect to age, education, intelligence, or working memory. None of the survivors and only one control manifested a global positron emission tomography score consistent with an Alzheimer's disease metabolic pattern. Conclusion Breast cancer survivors treated with chemotherapy may manifest long-term changes in brain glucose metabolism indicative of subtle frontal hypometabolism, a finding consistent with results from neuropsychological testing and other imaging modalities. Copyright © 2014 John Wiley & Sons, Ltd.

In Alzheimer's disease, antipsychotic medications are often used for a period, with relief of symptoms, and then discontinued, after which relapse may occur. The authors sought to determine which neuropsychiatric symptoms predict relapse.In the Antipsychotic Discontinuation in Alzheimer's Disease trial, 180 patients with Alzheimer's disease and symptoms of agitation or psychosis were treated with risperidone for 16 weeks, after which patients who responded (N=110) were randomly assigned to continue risperidone for 32 weeks, to continue risperidone for 16 weeks followed by switch to placebo for 16 weeks, or to receive placebo for 32 weeks. As reported previously, discontinuation of risperidone was associated with a two- to fourfold increased risk of relapse over 16-32 weeks. In planned post hoc analyses, the authors examined associations between the 12 symptom domains in the Neuropsychiatric Inventory (NPI) and relapse in the first 16-week phase after randomization.Compared with patients with mild hallucinations or no hallucinations, patients with severe hallucinations as a presenting symptom at baseline had a higher likelihood of relapse (hazard ratio=2.96, 95% CI=1.52, 5.76). This effect was present for the subgroup with auditory hallucinations, but not the subgroup with visual hallucinations. Among patients with baseline hallucinations, 13 of 17 (76.5%) who discontinued risperidone relapsed, compared with 10 of 26 (38.5%) who continued risperidone (p0.02). This group difference remained significant for severe (77.8%) compared with mild (36%) hallucinations. NPI domain scores after the initial open-treatment phase were not associated with relapse.Patients with severe baseline hallucinations were more likely to relapse after randomization, and the presence of baseline hallucinations was associated with a higher risk of relapse after discontinuation of risperidone compared with continued risperidone treatment. For patients with hallucinations, particularly auditory hallucinations, antipsychotic discontinuation should be approached cautiously because of high relapse risk.

There is considerable debate whether Alzheimer's disease (AD) originates in basal forebrain or entorhinal cortex. Here we examined whether longitudinal decreases in basal forebrain and entorhinal cortex grey matter volume were interdependent and sequential. In a large cohort of age-matched older adults ranging from cognitively normal to AD, we demonstrate that basal forebrain volume predicts longitudinal entorhinal degeneration. Models of parallel degeneration or entorhinal origin received negligible support. We then integrated volumetric measures with an amyloid biomarker sensitive to pre-symptomatic AD pathology. Comparison between cognitively matched normal adult subgroups, delineated according to the amyloid biomarker, revealed abnormal degeneration in basal forebrain, but not entorhinal cortex. Abnormal degeneration in both basal forebrain and entorhinal cortex was only observed among prodromal (mildly amnestic) individuals. We provide evidence that basal forebrain pathology precedes and predicts both entorhinal pathology and memory impairment, challenging the widely held belief that AD has a cortical origin., Whether Alzheimer's disease originates in basal forebrain or entorhinal cortex remains highly debated. Here the authors use structural magnetic resonance data from a longitudinal sample of participants stratified by cerebrospinal biomarker and clinical diagnosis to show that tissue volume changes appear earlier in the basal forebrain than in the entorhinal cortex.

Despite advances in the treatment of schizophrenia over the past half-century, the illness is frequently associated with a poor outcome. This is principally related to the late identification and intervention in the course of the illness by which time patients have experienced a substantial amount of socio-occupational decline that can be difficult to reverse. The emphasis has therefore shifted to defining psychosis-risk syndromes and evaluating treatments that can prevent transition to psychosis in these ultra-high risk groups. To consider the appropriateness of adding psychosis risk syndrome to our diagnostic nomenclature, the psychotic disorders work group extensively reviewed all available data, consulted a range of experts, and carefully considered the variety of expert and public comments on the topic. It was clear that reliable methods were available to define a syndrome characterized by sub-threshold psychotic symptoms (in severity or duration) and which was associated with a very significant increase in the risk of development of a full-fledged psychotic disorder (schizophrenia spectrum, psychotic mood disorder, and other psychotic disorders) within the next year. At the same time, the majority of individuals with "attenuated psychotic symptoms" had one or more other current psychiatric comorbid conditions (usually mood or anxiety disorders, substance use disorder; Fusar-Poli 2012) and exhibited a range of psychiatric outcomes other than conversion to psychosis (significant proportions either fully recover or develop some other psychiatric disorder, with a minority developing a psychotic disorder). Although the reliability of the diagnosis is well established in academic and research settings, it was found to be less so in community and other clinical settings. Furthermore, the nosological relationship of attenuated psychosis syndrome (APS) to schizotypal personality disorder and other psychiatric conditions was unclear. Further study will hopefully resolve these questions. The work group decided to recommend the inclusion of attenuated psychosis syndrome as a category in the appendix (Section 3) of DSM-5 as a condition for further study.

Work on the causes and treatment of schizophrenia and other psychotic disorders has long recognized the heterogeneity of the symptoms that can be displayed by individuals with these illnesses. Further, researchers have increasingly emphasized the ways in which the severity of different symptoms of this illness can vary across individuals, and have provided evidence that the severity of such symptoms can predict other important aspects of the illness, such as the degree of cognitive and/or neurobiological deficits. Additionally, research has increasingly emphasized that the boundaries between nosological entities may not be categorical and that the comorbidity of disorders may reflect impairments in common dimensions of genetic variation, human behavior and neurobiological function. As such, it is critical to focus on a dimensional approach to the assessment of symptoms and clinically relevant phenomena in psychosis, so as to increase attention to and understanding of the causes and consequences of such variation. In the current article, we review the logic and justification for including dimensional assessment of clinical symptoms in the evaluation of psychosis in the Fifth Edition of the Diagnostic and Statistical Manual for Mental Disorders (DSM-5).

Schizophrenia spectrum disorders attract great interest among clinicians, researchers, and the lay public. While the diagnostic features of schizophrenia have remained unchanged for more than 100 years, the mechanism of illness has remained elusive. There is increasing evidence that the categorical diagnosis of schizophrenia and other psychotic disorders contributes to this lack of progress. The 5th edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) continues the categorical classification of psychiatric disorders since the research needed to establish a new nosology of equal or greater validity is lacking. However, even within a categorical system, the DSM-5 aims to capture the underlying dimensional structure of psychosis. The domains of psychopathology that define psychotic disorders are presented not simply as features of schizophrenia. The level, the number, and the duration of psychotic signs and symptoms are used to demarcate psychotic disorders from each other. Finally, the categorical assessment is complemented with a dimensional assessment of psychosis that allows for more specific and individualized assessment of patients. The structure of psychosis as outlined in the DSM-5 may serve as a stepping-stone towards a more valid classification system, as we await new data to redefine psychotic disorders.

Characterization of patients with both psychotic and mood symptoms, either concurrently or at different points during their illness, has always posed a nosological challenge and this is reflected in the poor reliability, low diagnostic stability, and questionable validity of DSM-IV Schizoaffective Disorder. The clinical reality of the frequent co-occurrence of psychosis and Mood Episodes has also resulted in over-utilization of a diagnostic category that was originally intended to only rarely be needed. In the Diagnostic and Statistical Manual of Mental Disorders, fifth edition, an effort is made to improve reliability of this condition by providing more specific criteria and the concept of Schizoaffective Disorder shifts from an episode diagnosis in DSM-IV to a life-course of the illness in DSM-5. When psychotic symptoms occur exclusively during a Mood Episode, DSM-5 indicates that the diagnosis is the appropriate Mood Disorder with Psychotic Features, but when such a psychotic condition includes at least a two-week period of psychosis without prominent mood symptoms, the diagnosis may be either Schizoaffective Disorder or Schizophrenia. In the DSM-5, the diagnosis of Schizoaffective Disorder can be made only if full Mood Disorder episodes have been present for the majority of the total active and residual course of illness, from the onset of psychotic symptoms up until the current diagnosis. In earlier DSM versions the boundary between Schizophrenia and Schizoaffective Disorder was only qualitatively defined, leading to poor reliability. This change will provide a clearer separation between Schizophrenia with mood symptoms from Schizoaffective Disorder and will also likely reduce rates of diagnosis of Schizoaffective Disorder while increasing the stability of this diagnosis once made.

How to Obtain Contact Hours by Reading this Article Instructions 1.3 contact hours will be awarded by Villanova University College of Nursing upon successful completion of this activity. A contact hour is a unit of measurement that denotes 60 minutes of an organized learning activity. This is a learner-based activity. Villanova University College of Nursing does not require submission of your answers to the quiz. A contact hour certificate will be awarded once you register, pay the registration fee, and complete the evaluation form online at https://villanova.gosignmeup.com . To obtain contact hours you must: 1. Read the article, “Improving Antipsychotic Agent Use in Nursing Homes: Development of an Algorithm for Treating Problem Behaviors in Dementia” found on pages 24–35, carefully noting any tables and other illustrative materials that are included to enhance your knowledge and understanding of the content. Be sure to keep track of the amount of time (number of minutes) you spend reading the article and completing the quiz. 2. Read and answer each question on the quiz. After completing all of the questions, compare your answers to those provided within this issue. If you have incorrect answers, return to the article for further study. 3. Go to the Villanova website listed above to register for contact hour credit. You will be asked to provide your name; contact information; and a VISA, MasterCard, or Discover card number for payment of the $20.00 fee. Once you complete the online evaluation, a certificate will be automatically generated. This activity is valid for continuing education credit until April 30, 2015. Contact Hours This activity is co-provided by Villanova University College of Nursing and SLACK Incorporated. Villanova University College of Nursing is accredited as a provider of continuing nursing education by the American Nurses Credentialing Center’s Commission on Accreditation. Activity Objective 1. Describe the development of an algorithm for treating problem behaviors in nursing home patients with dementia that can improve the use of antipsychotic agents. Disclosure Statement Neither the planners nor the authors have any conflicts of interest to disclose. Many issues related to safety and quality care emerge from reports that nearly one in three nursing home residents is treated with antipsychotic medication, a rate that exceeds levels that led to nursing home reform more than 2 decades ago. Atypical antipsychotic medications have become the mainstay of treatment for behavioral problems among residents with dementia, despite federal “black box” warnings about health risks and research demonstrating their limited effectiveness. The purpose of this article is to briefly describe a dissemination research project designed to increase appropriate antipsychotic prescribing for older adults with dementia. A step-wise problem-solving algorithm designed to reduce unnecessary psychotropic medication use is described. Formative evaluation results provided by nursing home personnel are reviewed. Discussion focuses on nursing home culture as an important influence on the adoption of evidence-based practices and changes needed to promote use of behavioral interventions in dementia care and reduction of reliance on antipsychotic medications.

Three articles in this issue detail the process and results of reliability tests for proposed DSM-5 diagnoses and cross-diagnosis symptom domains. The editorial highlights the good reliability of borderline personality disorder and relates the questionable reliability of major depressive disorder to its heterogeneity. The editorial is also available in Spanish, Traditional Chinese, and Simplified Chinese.