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      The association of clinical correlates, metabolic parameters, and thyroid hormones with suicide attempts in first-episode and drug-naïve patients with major depressive disorder comorbid with anxiety: a large-scale cross-sectional study

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          Abstract

          The associated factors of suicide attempts in patients with major depressive disorder (MDD) comorbid with anxiety remains unclear. To the best of our knowledge, this is the first study with a large sample size that examines the risk factors of suicide attempts in first-episode drug-naïve (FEND) MDD patients comorbid with anxiety and includes clinical correlates, metabolic parameters, and thyroid hormone levels. A total of 1718 FEDN MDD patients were enrolled. The Hamilton Depression Scale (HAMD), Hamilton Anxiety Scale (HAMA), and Positive and Negative Syndrome Scale (PANSS) were used to assess the symptoms of patients. Metabolic parameters and thyroid hormone levels were measured. The prevalence of suicide attempts in MDD patients comorbid anxiety symptoms was 24.28%, which was 9.51 times higher than that in MDD patients without anxiety symptoms (3.25%). Compared to non-attempters, MDD patients with anxiety symptoms who attempted suicide scored higher on HAMD and HAMA, and had higher systolic blood pressure, higher levels of thyroid stimulating hormone (TSH), and thyroid peroxidases antibody (TPOAb), which were also correlated with suicide attempts in MDD patients comorbid anxiety symptoms. The combination of HAMA score, HAMD score, and TSH could differentiate suicide attempters from non-suicide attempters. Further, the age of onset, illness duration, BMI, TSH, and TPOAb were associated with the times of suicide attempts in MDD patients comorbid anxiety symptoms. Our results demonstrate high prevalence of suicide attempts in MDD patients comorbid anxiety symptoms. Several clinical correlates, metabolic parameters, and thyroid hormones function contribute to the suicide attempts in MDD patients comorbid anxiety symptoms.

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          Applied Logistic Regression

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            Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression

            Major depressive disorder (MDD) is a common illness accompanied by considerable morbidity, mortality, costs, and heightened risk of suicide. We conducted a genome-wide association (GWA) meta-analysis based in 135,458 cases and 344,901 control, We identified 44 independent and significant loci. The genetic findings were associated with clinical features of major depression, and implicated brain regions exhibiting anatomical differences in cases. Targets of antidepressant medications and genes involved in gene splicing were enriched for smaller association signal. We found important relations of genetic risk for major depression with educational attainment, body mass, and schizophrenia: lower educational attainment and higher body mass were putatively causal whereas major depression and schizophrenia reflected a partly shared biological etiology. All humans carry lesser or greater numbers of genetic risk factors for major depression. These findings help refine and define the basis of major depression and imply a continuous measure of risk underlies the clinical phenotype.
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              Risk factors for suicide in individuals with depression: a systematic review.

              Depression is the most common psychiatric disorder in people who die by suicide. Awareness of risk factors for suicide in depression is important for clinicians. In a systematic review of the international literature we identified cohort and case-control studies of people with depression in which suicide was an outcome, and conducted meta-analyses of potential risk factors. Nineteen studies (28 publications) were included. Factors significantly associated with suicide were: male gender (OR=1.76, 95% CI=1.08-2.86), family history of psychiatric disorder (OR=1.41, 95% CI=1.00-1.97), previous attempted suicide (OR=4.84, 95% CI=3.26-7.20), more severe depression (OR=2.20, 95% CI=1.05-4.60), hopelessness (OR=2.20, 95% CI=1.49-3.23) and comorbid disorders, including anxiety (OR=1.59, 95% CI=1.03-2.45) and misuse of alcohol and drugs (OR=2.17, 95% CI=1.77-2.66). There were fewer studies than suspected. Interdependence between risk factors could not be examined. The factors identified should be included in clinical assessment of risk in depressed patients. Further large-scale studies are required to identify other relevant factors. Copyright © 2013 Elsevier B.V. All rights reserved.
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                Author and article information

                Contributors
                lizezhi1981@aliyun.com
                zhangxy@psych.ac.cn
                Journal
                Transl Psychiatry
                Transl Psychiatry
                Translational Psychiatry
                Nature Publishing Group UK (London )
                2158-3188
                4 February 2021
                4 February 2021
                2021
                : 11
                : 97
                Affiliations
                [1 ]GRID grid.452897.5, ISNI 0000 0004 6091 8446, Shenzhen Kangning Hospital, ; Shenzhen, Guangdong China
                [2 ]GRID grid.410645.2, ISNI 0000 0001 0455 0905, Qingdao Mental Health Center, , Qingdao University, ; Qingdao, China
                [3 ]GRID grid.267308.8, ISNI 0000 0000 9206 2401, Department of Psychiatry and Behavioral Sciences, , The University of Texas Health Science Center at Houston, ; Houston, TX USA
                [4 ]GRID grid.263452.4, ISNI 0000 0004 1798 4018, Department of Psychiatry, The First Clinical Medical College, , Shanxi Medical University, ; Taiyuan, China
                [5 ]GRID grid.16821.3c, ISNI 0000 0004 0368 8293, Department of Neurology, Ren Ji Hospital, , Shanghai Jiao Tong University School of Medicine, ; Shanghai, China
                [6 ]GRID grid.454868.3, ISNI 0000 0004 1797 8574, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, ; Beijing, China
                [7 ]GRID grid.410726.6, ISNI 0000 0004 1797 8419, Department of Psychology, , University of Chinese Academy of Sciences, ; Beijing, China
                Author information
                http://orcid.org/0000-0002-2867-5291
                http://orcid.org/0000-0003-3326-382X
                Article
                1234
                10.1038/s41398-021-01234-9
                7862235
                33542178
                3faf0f18-b722-4f5e-8b2b-4af0a3ba90d5
                © The Author(s) 2021

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 1 August 2020
                : 9 December 2020
                : 16 December 2020
                Funding
                Funded by: FundRef https://doi.org/10.13039/501100001809, National Natural Science Foundation of China (National Science Foundation of China);
                Award ID: 81401127
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/501100008233, SJTU | School of Medicine, Shanghai Jiao Tong University (School of Medicine, Shanghai Jiao Tong University);
                Award ID: 19XJ11006
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/501100004921, Shanghai Jiao Tong University (SJTU);
                Award ID: YG2016MS48
                Award Recipient :
                Categories
                Article
                Custom metadata
                © The Author(s) 2021

                Clinical Psychology & Psychiatry
                depression,predictive markers
                Clinical Psychology & Psychiatry
                depression, predictive markers

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