Personalized Medicine in Psychiatry最新文献_第10页

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Personalized Medicine in Psychiatry Pub Date : 2020-03-01 DOI: 10.1016/S2468-1717(20)30002-8

引用次数: 0

An updated classification of antidepressants: A proposal to simplify treatment 抗抑郁药的最新分类:简化治疗的建议

Personalized Medicine in Psychiatry Pub Date : 2020-03-01 DOI: 10.1016/j.pmip.2019.04.002

Sebastian A. Alvano , Luis M. Zieher

{"title":"An updated classification of antidepressants: A proposal to simplify treatment","authors":"Sebastian A. Alvano , Luis M. Zieher","doi":"10.1016/j.pmip.2019.04.002","DOIUrl":"10.1016/j.pmip.2019.04.002","url":null,"abstract":"<div><h3>Background</h3><p>An exhaustive review of the main worldwide psychiatry-related literature sources shows that the present antidepressants’ classification does not have a logical and epistemic nomenclature oriented to allow a quick recognition of main adverse drug reactions (ADRs) and pharmacodynamic interactions.</p></div><div><h3>Methods</h3><p>The study was performed in two phases. In the first, a new classification of antidepressants was built up based on their mechanisms of action. Furthermore, relevant ADRs and pharmacodynamic interactions were grouped according to their causal mechanisms.</p><p>In the second phase a comparative, prospective, longitudinal, experimental and randomized study was performed.</p><p>312 physicians who were great prescribers of antidepressants were randomly assigned to one of two groups, A and B, having 156 physicians each. Each group was assessed with a questionnaire evaluating basic knowledge of the most important ADRs and pharmacodynamic interactions. This questionnaire was provided before and after the assignment of a standard classification (group A) or the new classification (group B). In the questionnaire provided after the assignments, some questions about different acceptance variables were included.</p></div><div><h3>Results</h3><p>After handing the classifications, significant differences were found (p = 0.0008) in the number of correct answers in the second questionnaire, in favor of group B. In addition, analysis of acceptance variables showed significant differences between both groups, in favor of the new classification.</p></div><div><h3>Conclusion</h3><p>This study shows that the new classification of antidepressants allows, in contrast with the standard classifications, to quickly inform and enable physicians to easily relate each drug to important ADRs and pharmacodynamic interactions.</p></div>","PeriodicalId":19837,"journal":{"name":"Personalized Medicine in Psychiatry","volume":"19 ","pages":"Article 100042"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.pmip.2019.04.002","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131493016","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 13

Predicting subjective quality of life and illness impact for individuals with schizophrenia using the Five-Factor Model of personality: A starting point for future research 使用人格五因素模型预测精神分裂症患者的主观生活质量和疾病影响:未来研究的起点

Personalized Medicine in Psychiatry Pub Date : 2020-03-01 DOI: 10.1016/j.pmip.2019.11.001

Russell T. Rogers

{"title":"Predicting subjective quality of life and illness impact for individuals with schizophrenia using the Five-Factor Model of personality: A starting point for future research","authors":"Russell T. Rogers","doi":"10.1016/j.pmip.2019.11.001","DOIUrl":"10.1016/j.pmip.2019.11.001","url":null,"abstract":"<div><p>Many different factors can be used to predict the number and magnitude of disruptions to functioning and subjective quality of life<span> that any given person with schizophrenia<span> may experience. Most of the available research has investigated biological, genetic<span>, socioeconomic, and environmental predictors of illness impact, but comparatively little has been done to establish personality as a predictive factor. However, given that personality is known to be associated with schizophrenia, and is an established predictor of general health outcomes, this gap in the literature is concerning. The research which does look at personality as a predictive factor for subjective quality of life disturbances and illness impact in individuals with schizophrenia has been promising, but too many unanswered questions exist for any reliable predictive rules to be established. Even so, tentative links between FFM personality and suicide risk, as well as links between FFM personality and negative symptoms, have been found. This paper seeks to highlight these areas of tentative findings, with a focus on the areas of suicidality, social deficits and negative symptoms, and subjective quality of life, to guide further research.</span></span></span></p></div>","PeriodicalId":19837,"journal":{"name":"Personalized Medicine in Psychiatry","volume":"19 ","pages":"Article 100053"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.pmip.2019.11.001","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127866196","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Genetics of alcohol use disorder 酒精使用障碍的遗传学

Personalized Medicine in Psychiatry Pub Date : 2020-01-01 DOI: 10.1016/b978-0-12-813176-3.00013-4

Jill L. Sorcher, F. Lohoff

引用次数: 0

Genomics of Alzheimer’s disease 阿尔茨海默病的基因组学

Personalized Medicine in Psychiatry Pub Date : 2020-01-01 DOI: 10.1016/b978-0-12-813176-3.00022-5

M. V. D. Weijer, I. Jansen, A. Verboven, O. Andreassen, D. Posthuma

引用次数: 6

Identification of clinical features and biomarkers that may inform a personalized approach to rTMS for depression 确定临床特征和生物标志物，可能为抑郁症的rTMS个性化方法提供信息

Personalized Medicine in Psychiatry Pub Date : 2019-11-01 DOI: 10.1016/j.pmip.2019.09.001

Sarah L. Garnaat, Andrew M. Fukuda, Shiwen Yuan, Linda L. Carpenter

引用次数: 19

Precision ECT for major depressive disorder: A review of clinical factors, laboratory, and physiologic biomarkers as predictors of response and remission 精确ECT治疗重度抑郁症:临床因素、实验室和生理生物标志物作为反应和缓解预测因子的综述

Personalized Medicine in Psychiatry Pub Date : 2019-11-01 DOI: 10.1016/j.pmip.2019.07.001

Zhixing Yao , William V. McCall , Norah Essali , Ethan Wohl , Carmen Parker , Peter B. Rosenquist , Nagy A. Youssef

{"title":"Precision ECT for major depressive disorder: A review of clinical factors, laboratory, and physiologic biomarkers as predictors of response and remission","authors":"Zhixing Yao , William V. McCall , Norah Essali , Ethan Wohl , Carmen Parker , Peter B. Rosenquist , Nagy A. Youssef","doi":"10.1016/j.pmip.2019.07.001","DOIUrl":"10.1016/j.pmip.2019.07.001","url":null,"abstract":"<div><p><span><span><span>Predicting which patient(s) will respond to Electroconvulsive Therapy (ECT) has very important clinical implications. The aim of this manuscript is to review the current literature on clinical, physiologic and laboratory biomarkers as predictors of ECT response and remission related to the </span>treatment of </span>major depressive disorder<span><span> (MDD). We will briefly discuss available research on the predictors of cognitive side effects of ECT. Although each clinical factor may have subtle influence on ECT response, taken together clinical predictors can lead to a robust treatment plan tailored for an individual patient, and advise on the likelihood of ECT response. Available literature supports the predictive value of several clinical factors. Older age, psychotic depression, and depression severity positively predict ECT response. Limited data is available for </span>catatonia specific to MDD, but overall data shows positive response of ECT for the treatment of catatonia. Multiple medication trials in the current episode and comorbid </span></span>psychiatric diagnosis (including borderline personality disorder and substance use disorder) predict lower response.</p><p><span>Lack of widespread clinical availability and validation in larger studies limits current clinical utility of laboratory and physiologic biomarkers. Genetic<span><span>, epigenetic, and </span>proteomic factors have been investigated predominately in </span></span>animal models, but ongoing research in human studies including neuroimaging is promising. Thus, these biomarkers provide an exciting outlook that may elevate the precision of ECT response and remission.</p></div>","PeriodicalId":19837,"journal":{"name":"Personalized Medicine in Psychiatry","volume":"17 ","pages":"Pages 23-31"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.pmip.2019.07.001","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122513010","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 9

Deep brain stimulation for treatment-resistant depression: Predicting response and optimizing treatment 脑深部刺激治疗难治性抑郁症:预测反应和优化治疗

Personalized Medicine in Psychiatry Pub Date : 2019-11-01 DOI: 10.1016/j.pmip.2019.10.002

Susan K. Conroy , Paul E. Holtzheimer

引用次数: 1

A review of transcranial direct current stimulation (tDCS) for the individualized treatment of depressive symptoms 经颅直流电刺激(tDCS)个体化治疗抑郁症状的综述

Personalized Medicine in Psychiatry Pub Date : 2019-11-01 DOI: 10.1016/j.pmip.2019.03.001

Mayank V. Jog , Danny J.J. Wang , Katherine L. Narr

{"title":"A review of transcranial direct current stimulation (tDCS) for the individualized treatment of depressive symptoms","authors":"Mayank V. Jog , Danny J.J. Wang , Katherine L. Narr","doi":"10.1016/j.pmip.2019.03.001","DOIUrl":"10.1016/j.pmip.2019.03.001","url":null,"abstract":"<div><p>Transcranial direct current stimulation (tDCS) is a low intensity neuromodulation technique shown to elicit therapeutic effects in a number of neuropsychological conditions. Independent randomized sham-controlled trials and meta- and mega-analyses demonstrate that tDCS targeted to the left dorsolateral prefrontal cortex can produce a clinically meaningful response in patients with major depressive disorder (MDD), but effects are small to moderate in size. However, the heterogeneous presentation, and the neurobiology underlying particular features of depression suggest clinical outcomes might benefit from empirically informed patient selection. In this review, we summarize the status of tDCS research in MDD with focus on the clinical, biological, and intrinsic and extrinsic factors shown to enhance or predict antidepressant response. We also discuss research strategies for optimizing tDCS to improve patient-specific clinical outcomes. TDCS appears suited for both bipolar and unipolar depression, but is less effective in treatment resistant depression. TDCS may also better target core aspects of depressed mood over vegetative symptoms, while pretreatment patient characteristics might inform subsequent response. Peripheral blood markers of gene and immune system function have not yet proven useful as predictors or correlates of tDCS response. Though further research is needed, several lines of evidence suggest that tDCS administered in combination with pharmacological and cognitive behavioral interventions can improve outcomes. Tailoring stimulation to the functional and structural anatomy and/or connectivity of individual patients can maximize physiological response in targeted networks, which in turn could translate to therapeutic benefits.</p></div>","PeriodicalId":19837,"journal":{"name":"Personalized Medicine in Psychiatry","volume":"17 ","pages":"Pages 17-22"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.pmip.2019.03.001","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"37542987","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 18

Are modern neuromodulation therapies too precise? 现代神经调节疗法是否过于精确?

Personalized Medicine in Psychiatry Pub Date : 2019-11-01 DOI: 10.1016/j.pmip.2019.08.001

William M. McDonald

引用次数: 0