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Steffens DC. Treatment-Resistant Depression in Older Adults. N Engl J Med 2024; 390:630-639. [PMID: 38354142 PMCID: PMC10885705 DOI: 10.1056/nejmcp2305428] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/16/2024]
Affiliation(s)
- David C Steffens
- From the Department of Psychiatry, University of Connecticut School of Medicine, Farmington
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2
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Bohlen KN, Kittelsrud JM, Nelson ME, Weisser LK, Matthiesen NJ, Fieldsend JA, Buschette NB, Cooper LL, Davies GE, Ehli EA. Clinical utility of pharmacogenetics in a psychiatric and primary care population. THE PHARMACOGENOMICS JOURNAL 2023; 23:21-27. [PMID: 36302979 DOI: 10.1038/s41397-022-00292-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/17/2020] [Revised: 09/16/2022] [Accepted: 09/23/2022] [Indexed: 11/05/2022]
Abstract
This study evaluated the timing, use, and clinical outcomes of the GeneFolio® Pharmacogenomic Panel in a healthcare setting with patients managed by primary care providers or by psychiatrists. Participants were randomized to receive a pharmacogenetics report at four weeks or 12 weeks. After DNA collection and genetic analysis, pharmacists produced a recommendation report which was given to providers at the randomization week. The four-week group decreased depression severity (PHQ-9 and BDI) faster than the 12-week group (p = 0.0196), and psychiatrists' patients decreased their depression severity faster than primary care patients (PHQ-9 p = 0.0005, BDI p = 0.0218). Mean mental quality of life increased over time (p < 0.0001), but it increased slower for patients taking drugs in the Significant drug-drug-gene interaction category (p = 0.0012). Mental quality of life, depression severity, and clinical outcomes were improved by GeneFolio® pharmacogenomic testing regardless of provider type, with earlier testing improving outcomes sooner.
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Affiliation(s)
- Krista N Bohlen
- Avera Institute for Human Genetics, 3720 West 69th Street, Sioux Falls, SD, 57108, USA. .,University of South Dakota Sanford School of Medicine, Psychiatry, 1400 West 22nd Street, Sioux Falls, SD, 57105, USA.
| | - Julie M Kittelsrud
- Avera Institute for Human Genetics, 3720 West 69th Street, Sioux Falls, SD, 57108, USA.,University of South Dakota Sanford School of Medicine, Psychiatry, 1400 West 22nd Street, Sioux Falls, SD, 57105, USA
| | | | - Lisa K Weisser
- Avera Institute for Human Genetics, 3720 West 69th Street, Sioux Falls, SD, 57108, USA
| | - Neil J Matthiesen
- Avera Institute for Human Genetics, 3720 West 69th Street, Sioux Falls, SD, 57108, USA
| | - Julie A Fieldsend
- Avera Institute for Human Genetics, 3720 West 69th Street, Sioux Falls, SD, 57108, USA
| | - Nicholas B Buschette
- Avera Institute for Human Genetics, 3720 West 69th Street, Sioux Falls, SD, 57108, USA
| | - Leslie L Cooper
- Avera Institute for Human Genetics, 3720 West 69th Street, Sioux Falls, SD, 57108, USA
| | - Gareth E Davies
- Avera Institute for Human Genetics, 3720 West 69th Street, Sioux Falls, SD, 57108, USA.,University of South Dakota Sanford School of Medicine, Psychiatry, 1400 West 22nd Street, Sioux Falls, SD, 57105, USA
| | - Erik A Ehli
- Avera Institute for Human Genetics, 3720 West 69th Street, Sioux Falls, SD, 57108, USA.,University of South Dakota Sanford School of Medicine, Psychiatry, 1400 West 22nd Street, Sioux Falls, SD, 57105, USA
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Yang L, Wu Z, Cao L, Wang Y, Su Y, Huang J, Fang M, Yao Z, Wang Z, Wang F, Zhu Y, Wang Y, Chen J, Peng D, Fang Y. Predictors and moderators of quality of life in patients with major depressive disorder: An AGTs-MDD study report. J Psychiatr Res 2021; 138:96-102. [PMID: 33838579 DOI: 10.1016/j.jpsychires.2021.03.063] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/19/2021] [Revised: 03/23/2021] [Accepted: 03/29/2021] [Indexed: 10/21/2022]
Abstract
Effective and targeted interventions for improving quality of life (QOL) in addition to achieving 'clinical remission' are imperatives for patients with major depressive disorder (MDD). This study aimed to examine potential predictors and moderators of QOL in depression. Data were obtained from the Algorithm Guided Treatment Strategies for Major Depressive Disorder (AGTs-MDD) study, a multisite, randomized controlled trial composed of 980 depressed patients. Mixed Model Repeated Measures (MMRM) analyses were conducted to identify baseline characteristics associated with QOL overall (predictors) and their interaction effects (moderators). Severe core depressive, anxiety and pain symptoms were found to be independently associated with poor QOL over the 12-week acute phase treatment. Severe depression, severe anxiety or pain symptoms, or severe suicidal ideation predicted a larger improvement of QOL during acute phase treatment, whereas males showed less improvement. None of the putative moderators were identified except for the educational level. Patients with lower educational level showed a larger improvement of QOL in the AGT started with escitalopram (AGT-E) group and AGT started with mirtazapine (AGT-M) group compared to the treatment as usual (TAU) group. These findings may help to instruct informed decision-making for heterogeneous patients with MDD in the view of full recovery.
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Affiliation(s)
- Lu Yang
- Clinical Research Center & Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, China
| | - Zhiguo Wu
- Department of Psychiatry and Psychology, Shanghai Deji Hospital Affiliated to Qingdao University, Shanghai, 200331, China
| | - Lan Cao
- Clinical Research Center & Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, China
| | - Yun Wang
- Clinical Research Center & Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, China
| | - Yousong Su
- Clinical Research Center & Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, China
| | - Jia Huang
- Clinical Research Center & Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, China
| | | | - Zhijian Yao
- Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, 210029, China
| | - Zuowei Wang
- Division of Mood Disorders, Hongkou District Mental Health Center of Shanghai, Shanghai, 200083, China
| | - Fan Wang
- Clinical Research Center & Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, China
| | - Yuncheng Zhu
- Clinical Research Center & Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, China
| | - Yong Wang
- Clinical Research Center & Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, China
| | - Jun Chen
- Clinical Research Center & Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, China; Guangdong-Hong Kong-Macao Greater Bay Area Center for Brain Science and Brain-Inspired Intelligence, Guangzhou, 510515, China.
| | - Daihui Peng
- Clinical Research Center & Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, China.
| | - Yiru Fang
- Clinical Research Center & Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, China; CAS Center for Excellence in Brain Science and Intelligence Technology, Shanghai, 200031, China; Shanghai Key Laboratory of Psychotic Disorders, Shanghai, 201108, China; Guangdong-Hong Kong-Macao Greater Bay Area Center for Brain Science and Brain-Inspired Intelligence, Guangzhou, 510515, China.
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Antidepressants, the Hamilton Depression Rating Scale Conundrum, and Quality of Life. J Clin Psychopharmacol 2021; 40:339-341. [PMID: 32644322 DOI: 10.1097/jcp.0000000000001221] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Galvin HK, Petersen C, Subbian V, Solomonides A. Patients as Agents in Behavioral Health Research and Service Provision: Recommendations to Support the Learning Health System. Appl Clin Inform 2019; 10:841-848. [PMID: 31694055 PMCID: PMC6834452 DOI: 10.1055/s-0039-1700536] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2019] [Accepted: 08/28/2019] [Indexed: 12/29/2022] Open
Abstract
Authentic inclusion and engagement of behavioral health patients in their care delivery and in the process of scientific discovery are often challenged in the health care system. Consequently, there is a growing need to engage with and better serve the needs of behavioral health patients, particularly by leveraging health information technologies. In this work, we present rationale and strategies for improving patient engagement in this population in research and clinical care. First, we describe the potential for creating meaningful patient-investigator partnerships in behavioral health research to allow for cocreation of knowledge with patients. Second, in the context of behavioral health services, we explore the utility of sharing clinical notes to promote patients' agency in care delivery. Both lines of inquiry are centered in a Learning Health System model for behavioral health, where patients are agents in enhancing the therapeutic alliance and advancing the process of knowledge generation. Recommendations include genuinely democratizing the health care system and biomedical research enterprise through patient-centered information technologies such as patient portals. In research and technology development, we recommend seeking and tailoring behavioral health patients' involvement to their abilities, promoting patient input in data analysis plans, evaluating research and informatics initiatives for patients and clinicians, and sharing success and research findings with patients. In clinical practice, we recommend encouraging patients to read behavioral health notes on portals, engaging in proactive communication regarding note content, assessing outcomes including stress and anxiety in response to note content, and working with technology providers to support note-sharing governance and deployment.
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Affiliation(s)
| | - Carolyn Petersen
- Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, Minnesota, United States
| | - Vignesh Subbian
- Department of Biomedical Engineering, University of Arizona, Tucson, Arizona, United States
| | - Anthony Solomonides
- Department of Systems and Industrial Engineering, University of Arizona, Tucson, Arizona, United States
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McCarrell JL, Bailey TA, Duncan NA, Covington LP, Clifford KM, Hall RG, Blaszczyk AT. A review of citalopram dose restrictions in the treatment of neuropsychiatric disorders in older adults. Ment Health Clin 2019; 9:280-286. [PMID: 31293848 PMCID: PMC6607952 DOI: 10.9740/mhc.2019.07.280] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
Abstract
Introduction Neuropsychiatric disorders affect millions of older adults. Despite this, there are relatively few older adults included in clinical trials evaluating treatments for psychiatric disorders. Citalopram has been evaluated in older adults with neuropsychiatric disorders and has largely been found beneficial, making the 2011 US Food and Drug Administration (FDA) safety advisory on citalopram extremely impactful. Methods A literature search was completed using the PubMed database. Results were limited to clinical trials conducted in older adults that were published in English. Results Review of the literature confirms the efficacy of citalopram in depression, anxiety, depression associated with Parkinson disease, and behavioral and psychological symptoms of dementia. Additionally, no adverse cardiac outcomes have been described related to citalopram. Discussion The FDA's evidence for applying this safety advisory to citalopram is minimal and largely based on surrogate markers, such as the QTc interval rather than clinical and safety outcomes. Citalopram is known to increase the QTc, but this increase has not been linked to adverse cardiac outcomes. The evidence for efficacy and against adverse outcomes suggests that a reevaluation of the dosing restrictions in older adults with neuropsychiatric disorders is needed.
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Estancial Fernandes CS, Lima MG, Barros MBDA. Emotional problems and health-related quality of life: population-based study. Qual Life Res 2019; 28:3037-3046. [PMID: 31240538 DOI: 10.1007/s11136-019-02230-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/07/2019] [Indexed: 12/22/2022]
Abstract
PURPOSE The aim of the present study was to evaluate the influence of emotional problems on health-related quality of life (HRQoL) according to the type of emotional problem, degree of limitation, and perceived control of the problem with treatment. METHOD A population-based cross-sectional study with probabilistic stratified cluster sampling was conducted in 2014 and 2015 in the city of Campinas, Brazil. A total of 2145 individuals aged 18 years or older participated in the study. HRQoL was evaluated using the SF-36® questionnaire. The dependent variables were the score of the eight scales of the SF-36®. The independent variables were self-perceived emotional problems, type of emotional problem (according to ICD 10), degree of limitation, and perceived control of the problem with treatment. Mean scores were calculated and regression coefficients were adjusted for sex, age, number of health problems, and chronic diseases using multiple linear regression analysis. RESULTS The prevalence of emotional problems was 32.7%. Among the individuals with a problem, the mean SF-36® scores were lower on all domains. Regarding the type of emotional problem, a complaint of depression exerted a stronger negative impact on HRQoL scores than anxiety. Moreover, a greater degree of limitation caused by the problem led to lower mean SF-36® scores. The negative impact on HRQoL was substantially greater among those who did not have the problem under control. CONCLUSION In conclusion, the findings underscore the importance of the prevention and control of emotional problems with the aim of reducing the impact on HRQoL.
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Affiliation(s)
| | - Margareth Guimarães Lima
- Department of Public Health, School of Medical Sciences, State University of Campinas, Campinas, São Paulo, Brazil
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Wright KD. Commentary on Neural Systems in Late-Life Depression: Clinical Presentation and Treatment Outcome. J Am Geriatr Soc 2018; 66 Suppl 1:S24-S27. [PMID: 29659008 DOI: 10.1111/jgs.15367] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2017] [Revised: 02/28/2018] [Accepted: 03/02/2018] [Indexed: 11/27/2022]
Affiliation(s)
- Kathy D Wright
- College of Nursing Discovery Themes-Traumatic Brain Injury, The Ohio State University, Columbus, OH
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