{"title":"A Systematic Review of Antidepressants and Psychotherapy Commonly Used in the Treatment of Late Life Depression for Their Effects on Cognition.","authors":"J Craig Nelson, Jason A Gandelman, R Scott Mackin","doi":"10.1016/j.jagp.2024.08.015","DOIUrl":"10.1016/j.jagp.2024.08.015","url":null,"abstract":"<p><p>Cognitive dysfunction is common in late life depression (LLD) and is a major risk factor for dementia. Recent studies show limited improvement in cognition with commonly employed treatments for LLD, contradicting the notion that cognition \"returns to normal\" with treatment. However, findings differ with the treatments used. The aim of this study is to perform a systematic review of studies of antidepressants and psychotherapies commonly employed in LLD to determine their effects on cognition, particularly processing speed, memory, and executive function. We searched for trials of acute phase treatment, in nondemented individuals 60 years and older with unipolar nonpsychotic Major Depressive Disorder, that assessed cognitive performance with neuropsychological tests before and after treatment. We compared the magnitude of change in cognition by examining within group effect sizes. Six antidepressant trials and two psychotherapy trials (both using Problem Solving Therapy)(PST) provided relatively comparable data that allowed for quantitative comparison. Nine other antidepressant trials provided descriptive findings. Sertraline and vortioxetine had significant positive effects on processing speed and memory. Duloxetine had significant effects on memory. The most selective SRIs-citalopram and escitalopram-had minimal effects on cognition and citalopram had adverse effects in depression nonresponders. PST had modest effects on processing speed and no effect on memory. Effects of practice and improvement in depression on cognition are examined. In all but one study, cognition was a secondary outcome and various quality indicators (e.g. blinding cognitive assessment to treatment) were often not reported. As a consequence, these findings must be considered preliminary.</p>","PeriodicalId":55534,"journal":{"name":"American Journal of Geriatric Psychiatry","volume":" ","pages":""},"PeriodicalIF":4.4,"publicationDate":"2024-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142376382","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Corrigendum to the Effect of Diagnostic Criteria on Dementia Prevalence—A Population-Based Study From Gothenburg, Sweden The American Journal of Geriatric Psychiatry, 2023, 230-243/32:2","authors":"Hanna Wetterberg Ph.D. , Jenna Najar M.D., Ph.D. , Therese Rydberg Sterner Ph.D. , Silke Kern M.D., Ph.D. , Ingmar Skoog M.D., Ph.D.","doi":"10.1016/j.jagp.2024.09.001","DOIUrl":"10.1016/j.jagp.2024.09.001","url":null,"abstract":"","PeriodicalId":55534,"journal":{"name":"American Journal of Geriatric Psychiatry","volume":"32 12","pages":"Page 1476"},"PeriodicalIF":4.4,"publicationDate":"2024-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142263664","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Dimitris Kiosses Ph.D., Jo Anne Sirey Ph.D., Sara Czaja Ph.D., Samprit Banerjee Ph.D., Faith Gunning Ph.D.
{"title":"Weill Cornell Alacrity for Late- and Mid-Life Depression 2.0: From Simplified Psychosocial Interventions Based on Brain Theories of Aging to Implementation Based on the Socio-Ecological Model","authors":"Dimitris Kiosses Ph.D., Jo Anne Sirey Ph.D., Sara Czaja Ph.D., Samprit Banerjee Ph.D., Faith Gunning Ph.D.","doi":"10.1016/j.jagp.2024.08.010","DOIUrl":"10.1016/j.jagp.2024.08.010","url":null,"abstract":"","PeriodicalId":55534,"journal":{"name":"American Journal of Geriatric Psychiatry","volume":"32 12","pages":"Pages 1471-1472"},"PeriodicalIF":4.4,"publicationDate":"2024-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142263442","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"“We Don't Really Do That in Geriatrics” Commentary on Long-Acting Injectable Antipsychotics in the Geriatric Population: A Longitudinal Study","authors":"Kristina F. Zdanys M.D., F.A.A.G.P.","doi":"10.1016/j.jagp.2024.08.012","DOIUrl":"10.1016/j.jagp.2024.08.012","url":null,"abstract":"","PeriodicalId":55534,"journal":{"name":"American Journal of Geriatric Psychiatry","volume":"32 12","pages":"Pages 1431-1432"},"PeriodicalIF":4.4,"publicationDate":"2024-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142263443","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Community Delivery of Problem Adaptation Therapy (PATH)","authors":"Jo Anne Sirey Ph.D., Dimitris Kiosses Ph.D.","doi":"10.1016/j.jagp.2024.08.011","DOIUrl":"10.1016/j.jagp.2024.08.011","url":null,"abstract":"","PeriodicalId":55534,"journal":{"name":"American Journal of Geriatric Psychiatry","volume":"32 12","pages":"Pages 1469-1470"},"PeriodicalIF":4.4,"publicationDate":"2024-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142263445","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Information for Subscribers","authors":"","doi":"10.1016/S1064-7481(24)00416-0","DOIUrl":"10.1016/S1064-7481(24)00416-0","url":null,"abstract":"","PeriodicalId":55534,"journal":{"name":"American Journal of Geriatric Psychiatry","volume":"32 10","pages":"Page A1"},"PeriodicalIF":4.4,"publicationDate":"2024-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142095028","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Minister Leaves","authors":"David L. Coulter M.D.","doi":"10.1016/j.jagp.2024.08.005","DOIUrl":"10.1016/j.jagp.2024.08.005","url":null,"abstract":"","PeriodicalId":55534,"journal":{"name":"American Journal of Geriatric Psychiatry","volume":"32 12","pages":"Page 1496"},"PeriodicalIF":4.4,"publicationDate":"2024-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142141819","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Wei Ying Tan, Carol Anne Hargreaves, Gavin S Dawe, Wynne Hsu, Mong Li Lee, Ashwati Vipin, Nagaendran Kandiah, Saima Hilal
{"title":"Incremental Value of Multidomain Risk Factors for Dementia Prediction: A Machine Learning Approach.","authors":"Wei Ying Tan, Carol Anne Hargreaves, Gavin S Dawe, Wynne Hsu, Mong Li Lee, Ashwati Vipin, Nagaendran Kandiah, Saima Hilal","doi":"10.1016/j.jagp.2024.07.016","DOIUrl":"https://doi.org/10.1016/j.jagp.2024.07.016","url":null,"abstract":"<p><strong>Objective: </strong>The current evidence regarding how different predictor domains contributes to predicting incident dementia remains unclear. This study aims to assess the incremental value of five predictor domains when added to a simple dementia risk prediction model (DRPM) for predicting incident dementia in older adults.</p><p><strong>Design: </strong>Population-based, prospective cohort study.</p><p><strong>Setting: </strong>UK Biobank study.</p><p><strong>Participants: </strong>Individuals aged 60 or older without dementia.</p><p><strong>Measurements: </strong>Fifty-five dementia-related predictors were gathered and categorized into clinical and medical history, questionnaire, cognition, polygenetic risk, and neuroimaging domains. Incident dementia (all-cause) and the subtypes, Alzheimer's disease (AD) and vascular dementia (VaD), were determined through hospital and death registries. Ensemble machine learning (ML) DRPMs were employed for prediction. The incremental values of risk predictors were assessed using the percent change in Area Under the Curve (∆AUC%) and the net reclassification index (NRI).</p><p><strong>Results: </strong>The simple DRPM which included age, body mass index, sex, education, diabetes, hyperlipidaemia, hypertension, depression, smoking, and alcohol consumption yielded an AUC of 0.711 (± 0.008 SD). The five predictor domains exhibited varying levels of incremental value over the basic model when predicting all-cause dementia and the two subtypes. Neuroimaging markers provided the highest incremental value in predicting all-cause dementia (∆AUC% +9.6%) and AD (∆AUC% +16.5%) while clinical and medical history data performed the best at predicting VaD (∆AUC% +12.2%). Combining clinical and medical history, and questionnaire data synergistically enhanced ML DRPM performance.</p><p><strong>Conclusion: </strong>Combining predictors from different domains generally results in better predictive performance. Selecting predictors involves trade-offs, and while neuroimaging markers can significantly enhance predictive accuracy, they may pose challenges in terms of cost or accessibility.</p>","PeriodicalId":55534,"journal":{"name":"American Journal of Geriatric Psychiatry","volume":" ","pages":""},"PeriodicalIF":4.4,"publicationDate":"2024-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142115187","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Information for Subscribers","authors":"","doi":"10.1016/S1064-7481(24)00388-9","DOIUrl":"10.1016/S1064-7481(24)00388-9","url":null,"abstract":"","PeriodicalId":55534,"journal":{"name":"American Journal of Geriatric Psychiatry","volume":"32 9","pages":"Page A1"},"PeriodicalIF":4.4,"publicationDate":"2024-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141952715","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}