Kaloyan S Tanev, Natasha Lasko, Martha E Shenton, Scott P Orr, Roger K Pitman, Mark W Gilbertson
{"title":"Association Between Unremitting PTSD and Smaller Right Hippocampal Volume Among Veterans 30 Years After Combat.","authors":"Kaloyan S Tanev, Natasha Lasko, Martha E Shenton, Scott P Orr, Roger K Pitman, Mark W Gilbertson","doi":"10.1176/appi.neuropsych.20250059","DOIUrl":"10.1176/appi.neuropsych.20250059","url":null,"abstract":"<p><strong>Objective: </strong>A significant percentage of individuals diagnosed as having posttraumatic stress disorder (PTSD) show remission within the first year after traumatic exposure, with more gradual improvement over the next several years. However, a subgroup of individuals with PTSD have an unremitting course of illness that may persist for years or decades despite treatment efforts. The authors tested the hypothesis that reduced hippocampal volume is associated with chronic, unremitting PTSD rather than with PTSD that has remitted over time.</p><p><strong>Methods: </strong>The study included 44 Vietnam War veterans whose traumatic exposure had occurred more than three decades before study participation. The authors studied the association between hippocampal volume and three PTSD diagnostic categories: veterans with unremitting PTSD (N=26), veterans with sustained remission from earlier PTSD (N=8), and veterans who never developed PTSD (N=10).</p><p><strong>Results: </strong>Compared with trauma-exposed veterans who never developed PTSD, those with unremitting PTSD, but not those who had recovered, showed reduced hippocampal volume. The results were anatomically lateralized to the right hippocampus, consistent with previous neuroimaging studies of male combat veterans.</p><p><strong>Conclusions: </strong>These results support an emerging literature suggesting that reduced hippocampal volume observed among individuals with PTSD may be related to failure to recover from rather than to the development of PTSD after trauma exposure. These findings may define a subpopulation of combat veterans who are at increased risk for long-term failure to recover from PTSD because of their smaller right hippocampi.</p>","PeriodicalId":16559,"journal":{"name":"Journal of Neuropsychiatry and Clinical Neurosciences","volume":" ","pages":"295-299"},"PeriodicalIF":3.3,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12923210/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145452295","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hamza Zarglayoun, Sherri Lee Jones, Victoria Light, Katerine Rousseau, Charlotte Teunissen, Simon Ducharme
{"title":"Serum Neurofilament Light as a Neuropsychiatric Disorder Screening Test in Psychiatric Emergency Settings.","authors":"Hamza Zarglayoun, Sherri Lee Jones, Victoria Light, Katerine Rousseau, Charlotte Teunissen, Simon Ducharme","doi":"10.1176/appi.neuropsych.20240228","DOIUrl":"10.1176/appi.neuropsych.20240228","url":null,"abstract":"<p><strong>Objective: </strong>The authors evaluated serum neurofilament light chain (sNfL) as a blood-based biomarker to distinguish primary psychiatric disorders from psychiatric presentations of neurological or general medical etiology (i.e., neuropsychiatric disorders) in psychiatric emergency departments (PEDs), where rapid diagnosis is essential and access to advanced tests is often limited.</p><p><strong>Methods: </strong>Data were collected from 846 patients with psychiatric disorders (17% anxiety, 34% mood, 9% personality, 32% psychotic, and 7% substance use) and 20 patients with neuropsychiatric disorders (35% neurocognitive, 20% delirium, and 55% general medical causes). sNfL levels were measured with the SIMOA (Single Molecule Array) platform. Analysis of covariance and logistic regression were conducted to assess sNfL differences between psychiatric and neuropsychiatric patients. Receiver operating characteristic curve analysis was used to determine diagnostic accuracy, with Youden's index employed to identify optimal thresholds.</p><p><strong>Results: </strong>In analyses adjusted for age and sex, patients with neuropsychiatric disorders had significantly higher sNfL levels, compared with those with psychiatric disorders. The effect size was moderate (partial η<sup>2</sup>=0.24). Logistic regression confirmed that sNfL levels strongly predicted the diagnostic group. The optimal cutoff for sNfL was 30.6 pg/mL, with a sensitivity of 0.90 and specificity of 0.94. Subgroup analyses suggested that age-specific thresholds could improve diagnostic accuracy.</p><p><strong>Conclusions: </strong>sNfL is a promising biomarker for rapid differentiation in PEDs between primary psychiatric disorders and psychiatric conditions of general medical or neurological origins, potentially improving diagnostic accuracy and speed. Future research is needed with more diverse, prospective cohorts with a wider range of diseases to replicate the clinical utility of sNfL.</p>","PeriodicalId":16559,"journal":{"name":"Journal of Neuropsychiatry and Clinical Neurosciences","volume":" ","pages":"272-277"},"PeriodicalIF":3.3,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145301373","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Skin Biopsy Diagnosis of Late-Onset Psychosis as Prodromal Dementia With Lewy Bodies: A Case Series.","authors":"Tracy Butler","doi":"10.1176/appi.neuropsych.20250066","DOIUrl":"10.1176/appi.neuropsych.20250066","url":null,"abstract":"<p><strong>Objective: </strong>Severe psychiatric symptoms beginning in late life warrant evaluation for secondary causes, including neurodegenerative disorders. When neurodegenerative disorders manifest initially with isolated psychiatric features, they may be clinically indistinguishable from primary psychiatric illnesses such as late-onset schizophrenia. Accurate diagnosis is critical, especially for patients with underlying dementia with Lewy bodies (DLB), a synucleinopathy marked by early psychiatric symptoms, in particular psychosis, and extreme sensitivity to antipsychotic medications. Although clinically available biomarker tests are used in neurology to support the diagnosis of synucleinopathy, they have not been systematically applied in psychiatric populations.</p><p><strong>Methods: </strong>This case series describes five consecutive psychiatric inpatients (four with psychosis) who, over a 3-month period, received testing with a clinically approved skin biopsy to detect phosphorylated alpha-synuclein in cutaneous nerves as part of neurological and neuropsychiatric evaluations for late-onset severe psychiatric symptoms.</p><p><strong>Results: </strong>Two of the four patients with psychosis tested positive for synucleinopathy, and a third had multiple DLB features but tested negative. None of the patients met proposed clinical criteria for prodromal DLB, underscoring the need for updated criteria.</p><p><strong>Conclusions: </strong>DLB may underlie a substantial proportion of late-onset psychosis. Clinically available biomarker tests, routinely used in neurology to diagnose DLB and other neurodegenerative disorders with motor or cognitive symptoms, can also identify these disorders when they begin with psychiatric symptoms. Prospective biomarker-based research is essential to improve recognition of psychiatric-onset DLB, refine diagnostic criteria, and guide appropriate treatment.</p>","PeriodicalId":16559,"journal":{"name":"Journal of Neuropsychiatry and Clinical Neurosciences","volume":" ","pages":"278-282"},"PeriodicalIF":3.3,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147467761","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Emanuela Pizzolla, Wissal El Ouahidi, Kurt Segers, Murielle Surquin, Florence Benoît, Giovanni Briganti
{"title":"Mapping Symptom Complexity in Dementia With Lewy Bodies: A Network Analysis Approach.","authors":"Emanuela Pizzolla, Wissal El Ouahidi, Kurt Segers, Murielle Surquin, Florence Benoît, Giovanni Briganti","doi":"10.1176/appi.neuropsych.20240223","DOIUrl":"10.1176/appi.neuropsych.20240223","url":null,"abstract":"<p><strong>Objective: </strong>Dementia with Lewy bodies (DLB) is the second most common neurodegenerative dementia after Alzheimer's disease but remains underdiagnosed because of its heterogeneous symptomatology. Network analysis may capture interrelationships among symptoms, potentially improving diagnostic precision. The authors applied network analysis to a cohort of patients with DLB to map symptom connections, identify central features, and explore clustering patterns.</p><p><strong>Methods: </strong>Clinical records of 107 patients with a confirmed DLB diagnosis from Brugmann University Hospital, Brussels, were retrospectively analyzed. Sixteen core and supportive symptoms were coded as binary variables. Pairwise Markov random fields with least absolute shrinkage and selection operator regularization were used to construct a symptom network. Centrality indices, predictability, and community detection were computed to assess the structural importance and clustering of symptoms. Stability was evaluated via nonparametric bootstrap procedures, and redundancy was addressed with unique variable analysis, prompting reestimation of a reduced network.</p><p><strong>Results: </strong>The network was characterized by positive correlations among symptoms, with visual hallucinations and urinary incontinence showing the highest centrality. Cognitive fluctuation and tactile hallucinations were disconnected despite high predictability from low variance. Three clusters emerged: cognitive-perceptual, motor-perceptual, and autonomic-somatic. Removal of agitation, prompted by redundancy between agitation and delirious thoughts, reduced centrality for delirious thoughts and depression. Stability analyses indicated moderate robustness for the full network and slightly improved stability in the revised model.</p><p><strong>Conclusions: </strong>Central symptoms such as visual hallucinations and urinary incontinence may serve as high-yield diagnostic targets in DLB, and clustering patterns could represent meaningful clinical dimensions. Network analysis may help refine diagnoses and guide targeted interventions in DLB.</p>","PeriodicalId":16559,"journal":{"name":"Journal of Neuropsychiatry and Clinical Neurosciences","volume":" ","pages":"231-239"},"PeriodicalIF":3.3,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146046843","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Bhavani Kashyap, Leah R Hanson, Sally K Gustafson, Samantha J Sherman, Michael E Sughrue, Michael H Rosenbloom
{"title":"Functional MRI Analysis of Cortical Regions to Distinguish Lewy Body Dementia From Alzheimer's Disease.","authors":"Bhavani Kashyap, Leah R Hanson, Sally K Gustafson, Samantha J Sherman, Michael E Sughrue, Michael H Rosenbloom","doi":"10.1176/appi.neuropsych.20240157","DOIUrl":"10.1176/appi.neuropsych.20240157","url":null,"abstract":"<p><strong>Objective: </strong>Cortical regions such as parietal area H (PH) and the fundus of the superior temporal sulcus (FST) are involved in higher visual function and may play a role in dementia with Lewy bodies (DLB), which is frequently associated with hallucinations. The authors evaluated functional connectivity between these two regions for distinguishing participants with DLB from those with Alzheimer's disease (AD) or mild cognitive impairment (MCI) and from cognitively normal (CN) individuals to identify a functional connectivity MRI signature for DLB.</p><p><strong>Methods: </strong>Eighteen DLB participants completed cognitive testing and functional MRI scans and were matched to AD or MCI and CN individuals whose data were obtained from the Alzheimer's Disease Neuroimaging Initiative database (https://adni.loni.usc.edu). Images were analyzed with data from Human Connectome Project (HCP) comparison individuals by using a machine learning-based subject-specific HCP atlas based on diffusion tractography.</p><p><strong>Results: </strong>Bihemispheric functional connectivity of the PH to left FST regions was reduced in the DLB group compared with the AD and CN groups (mean±SD connectivity score=0.307±0.009 vs. 0.456±0.006 and 0.433±0.006, respectively). No significant differences were detected among the groups in connectivity within basal ganglia structures, and no significant correlations were observed between neuropsychological testing results and functional connectivity between the PH and FST regions. Performances on clock-drawing and number-cancelation tests were significantly and negatively correlated with connectivity between the right caudate nucleus and right substantia nigra for DLB participants but not for AD or CN participants.</p><p><strong>Conclusions: </strong>The functional connectivity between PH and FST regions is uniquely affected by DLB and may help distinguish this condition from AD.</p>","PeriodicalId":16559,"journal":{"name":"Journal of Neuropsychiatry and Clinical Neurosciences","volume":" ","pages":"23-30"},"PeriodicalIF":2.9,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144094073","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Janina Krell-Roesch, Jeremy A Syrjanen, Walter K Kremers, Bettina Barisch-Fritz, Jelena Krafft, DeJarra Johnson, Julie A Fields, Ronald C Petersen, Alexander Woll, Maria Vassilaki, Yonas E Geda
{"title":"Associations of Mid- and Late-Life Physical Activities With New-Onset Depression and Anxiety Among Older Adults.","authors":"Janina Krell-Roesch, Jeremy A Syrjanen, Walter K Kremers, Bettina Barisch-Fritz, Jelena Krafft, DeJarra Johnson, Julie A Fields, Ronald C Petersen, Alexander Woll, Maria Vassilaki, Yonas E Geda","doi":"10.1176/appi.neuropsych.20240255","DOIUrl":"10.1176/appi.neuropsych.20240255","url":null,"abstract":"<p><strong>Objective: </strong>The authors of this prospective cohort study sought to examine associations between mid- and late-life physical activities and incident clinical depression and anxiety among community-dwelling older adults.</p><p><strong>Methods: </strong>The sample included 2,630 adults to examine the outcome of clinical depression (median follow-up length=5.4 years) and 2,444 to examine clinical anxiety (median follow-up length=5.6 years). Participants were ages ≥70 years, were enrolled in the Mayo Clinic Study of Aging, and did not have dementia or the respective neuropsychiatric symptoms at baseline. Mid- and late-life physical activities were assessed as predictors with a validated questionnaire, and physical activity composite scores were calculated. Outcomes of interest were new onset of clinical depression and anxiety, measured with the Beck Depression Inventory (score >13) and Beck Anxiety Inventory (score >7), respectively. The authors used Cox proportional hazard models, adjusted for age (timescale), sex, education, apolipoprotein E ε4 genotype status, and comorbid medical conditions.</p><p><strong>Results: </strong>Higher overall physical activity in late life was associated with a decreased risk for incident clinical depression (hazard ratio [HR]=0.85, 95% CI=0.74-0.98, p=0.025). Higher late-life overall physical activity (HR=0.79, 95% CI=0.71-0.89, p<0.001) and moderate-to-vigorous physical activity (MVPA; HR=0.86, 95% CI=0.77-0.95, p=0.003) were associated with a decreased risk for incident clinical anxiety. Higher midlife overall physical activity (HR=1.16, 95% CI=1.05-1.28, p=0.003) and MVPA (HR=1.12, 95% CI=1.02-1.23, p=0.019) were associated with an increased risk for new-onset clinical anxiety but not depression.</p><p><strong>Conclusions: </strong>Engagement in late-life physical activity was associated with reduced risk for new-onset depression and anxiety among community-dwelling older adults without dementia.</p>","PeriodicalId":16559,"journal":{"name":"Journal of Neuropsychiatry and Clinical Neurosciences","volume":" ","pages":"76-83"},"PeriodicalIF":2.9,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143997422","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
James Luccarelli, Joshua R Smith, Niels Turley, Jonathan P Rogers, Haoqi Sun, Samuel I Kohrman, Gregory Fricchione, M Brandon Westover
{"title":"Electrographic Features of Catatonia With or Without Comorbid Delirium.","authors":"James Luccarelli, Joshua R Smith, Niels Turley, Jonathan P Rogers, Haoqi Sun, Samuel I Kohrman, Gregory Fricchione, M Brandon Westover","doi":"10.1176/appi.neuropsych.20240215","DOIUrl":"10.1176/appi.neuropsych.20240215","url":null,"abstract":"<p><strong>Objective: </strong>Catatonia is an underdiagnosed disorder characterized by speech and motor abnormalities. EEG examinations may improve the accuracy of a catatonia diagnosis, but clinical and electrographic correlations have not been established. The authors describe catatonic features and EEG findings in a large multisite retrospective cohort.</p><p><strong>Methods: </strong>The clinical records in two health care systems were searched for patients with an EEG recording and a catatonia assessment with the Bush-Francis Catatonia Rating Scale conducted within 24 hours of each other. Included patients were retrospectively screened for delirium through a chart-based assessment. Augmented inverse propensity weighting (AIPW) was used to estimate the causal effects of delirium and catatonia on the presence of an abnormal EEG finding.</p><p><strong>Results: </strong>Overall, 178 patients met inclusion criteria, 144 (81%) of whom had catatonia. Among the patients with catatonia, 43% also had delirium. EEG abnormalities were present among 43% of patients with catatonia, including 28% of patients with catatonia without delirium and 69% of the patients with co-occurring catatonia and delirium. Individual catatonic signs and EEG abnormalities showed only a weak correlation. In AIPW models, a delirium diagnosis was associated with significantly higher odds for an abnormal EEG finding (OR=6.75; 95% CI=2.83-16.14), whereas a diagnosis of catatonia was not (OR=1.83, 95% CI=0.79-4.24).</p><p><strong>Conclusions: </strong>EEG abnormalities are common among individuals with catatonia, but these are difficult to disentangle from abnormalities resulting from co-occurring delirium. Further research is needed to define the role of EEG examinations in the assessments of catatonia and delirium.</p>","PeriodicalId":16559,"journal":{"name":"Journal of Neuropsychiatry and Clinical Neurosciences","volume":" ","pages":"61-67"},"PeriodicalIF":2.9,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12357770/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144285031","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Saami Zakaria, Hamza Ahmed, Kara R Melmed, Benjamin Brush, Aaron Lord, Lindsey Gurin, Jennifer Frontera, Koto Ishida, Jose Torres, Cen Zhang, Leah Dickstein, Ethan Kahn, Ting Zhou, Ariane Lewis
{"title":"Association of Cognitive Impairment After Hemorrhagic Stroke With Psychiatric Outcomes and Functional Status.","authors":"Saami Zakaria, Hamza Ahmed, Kara R Melmed, Benjamin Brush, Aaron Lord, Lindsey Gurin, Jennifer Frontera, Koto Ishida, Jose Torres, Cen Zhang, Leah Dickstein, Ethan Kahn, Ting Zhou, Ariane Lewis","doi":"10.1176/appi.neuropsych.20250075","DOIUrl":"10.1176/appi.neuropsych.20250075","url":null,"abstract":"<p><strong>Objective: </strong>The authors sought to determine the relationships among cognitive impairment, psychiatric outcome, and functional status 3 months after a hemorrhagic stroke.</p><p><strong>Methods: </strong>Patients with nontraumatic intracerebral hemorrhage (ICH) or subarachnoid hemorrhage (SAH) were assessed by telephone 3 months after discharge by using the Quality of Life in Neurological Disorders (Neuro-QoL) cognitive function, anxiety, depression, and sleep disturbance short forms, as well as the modified Rankin Scale (mRS). The relationships between poor cognition (Neuro-QoL T score≤50), functional status, and psychiatric outcome among patients with ICH or SAH and patients with ICH only were evaluated.</p><p><strong>Results: </strong>Of 101 patients (N=62 with ICH and N=39 with SAH), 51% had poor cognition 3 months posthemorrhage, with 61% having mRS scores of 3-5, 43% having anxiety, 28% having depression, and 31% having sleep disturbance. Univariate analysis of the full cohort indicated that poor cognition was significantly associated with anxiety, depression, sleep disturbance, and mRS scores of 3-5 (p<0.05). Multivariate analysis revealed that poor cognition was significantly associated with anxiety (OR=4.38, 95% CI=1.30-14.74, p=0.017) and mRS scores of 3-5 (OR=6.15, 95% CI=1.96-19.32, p=0.002). Univariate analysis of the 62 patients with ICH indicated that poor cognition was significantly associated with anxiety, sleep disturbance, and mRS scores of 3-5 (p<0.05). Multivariate analysis revealed that poor cognition was significantly associated with anxiety (OR=10.98, 95% CI=2.32-51.99, p=0.003).</p><p><strong>Conclusions: </strong>Poor cognition was associated with anxiety 3 months after hemorrhagic stroke. Additional research is needed to understand whether treatment for anxiety would improve cognition in this population.</p>","PeriodicalId":16559,"journal":{"name":"Journal of Neuropsychiatry and Clinical Neurosciences","volume":" ","pages":"240-247"},"PeriodicalIF":3.3,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145390461","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Maria X Sanmartin, Jeffrey M Katz, Mir M Ali, Jason J Wang, Elizabeth G Cohn, Elizabeth Rula, Liron D Sinvani, Pina C Sanelli
{"title":"Trends and Disparities in Poststroke Depression Within 1 Year of Ischemic Stroke.","authors":"Maria X Sanmartin, Jeffrey M Katz, Mir M Ali, Jason J Wang, Elizabeth G Cohn, Elizabeth Rula, Liron D Sinvani, Pina C Sanelli","doi":"10.1176/appi.neuropsych.20240247","DOIUrl":"10.1176/appi.neuropsych.20240247","url":null,"abstract":"<p><strong>Objective: </strong>One of the most frequent neuropsychiatric complications after a stroke is poststroke depression (PSD). However, it is unclear whether disparities exist in PSD diagnosis. The authors examined a 10-year trend in PSD by socioeconomic and clinical characteristics.</p><p><strong>Methods: </strong>A retrospective cohort study of acute ischemic stroke (AIS) patients admitted to a stroke network in 2014-2023 was performed. PSD was defined as newly diagnosed major depression or initiation of antidepressant medication up to 1 year poststroke. Trend, bivariate, and multivariable logistic regression analyses of patient sociodemographic and clinical characteristics and discharge stroke outcomes were conducted.</p><p><strong>Results: </strong>Of 23,514 AIS patients, 15.0% (N=3,534) met the criteria for PSD. Women and non-Hispanic Whites were diagnosed as having PSD at a higher proportion than were men and non-White patients, respectively. Higher odds of PSD were associated with female sex (OR=1.32, 95% CI=1.22-1.43), ages 18-49 years (OR=1.30, 95% CI=1.08-1.56) and 50-79 years (OR=1.26, 95% CI=1.15-1.38), National Institutes of Health Stroke Scale score of 6-15 at hospital admission (OR=1.23, 95% CI=1.10-1.37), and modified Rankin Scale score of 2-3 at hospital discharge (OR=1.32, 95% CI=1.19-1.46) and 4-5 (OR=1.38, 95% CI=1.24-1.53).</p><p><strong>Conclusions: </strong>Women, non-Hispanic White patients, and middle-aged patients and patients with moderate stroke severity on initial examination and poor functional outcomes at discharge were more likely to have a PSD diagnosis. Long-term depression screening is a pressing need among stroke patients, especially among racial-ethnic minority populations that may be underdiagnosed or undertreated for PSD.</p>","PeriodicalId":16559,"journal":{"name":"Journal of Neuropsychiatry and Clinical Neurosciences","volume":" ","pages":"120-127"},"PeriodicalIF":2.9,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145033556","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"American Neuropsychiatric Association 2026 Annual Meeting Abstracts.","authors":"David B Arciniegas","doi":"10.1176/appi.neuropsych.20263803","DOIUrl":"https://doi.org/10.1176/appi.neuropsych.20263803","url":null,"abstract":"","PeriodicalId":16559,"journal":{"name":"Journal of Neuropsychiatry and Clinical Neurosciences","volume":"38 3","pages":"310"},"PeriodicalIF":3.3,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148447347","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}