Literature DB >> 29971880

Suicidal ideation in patients with coronary heart disease and hypertension: Baseline results from the DEPSCREEN-INFO clinical trial.

Marco Lehmann1, Sebastian Kohlmann1, Benjamin Gierk2, Alexandra M Murray1, Bernd Löwe1.   

Abstract

BACKGROUND: A high proportion of cardiac patients suffers from depression, which is an antecedent for suicidal ideation. This study identifies clinical vulnerabilities for suicidal ideation in cardiac patients.
METHODS: The primary outcome of the study was severity of suicidal ideation as measured with the Patient Health Questionnaire (PHQ-9) item No. 9. Covariates were demographics, cardiac characteristics (i.e., Canadian Cardiovascular Society angina rating of chest pain and New York Heart Association rating of shortness of breath), depression (PHQ-8,i.e., PHQ-9 minus item No. 9), anxiety (Generalized Anxiety Disorder-7, GAD-7), somatic symptoms (PHQ-15), illness perception (Brief-Illness Perception Questionnaire), and health-related quality of life (EuroQol-5D, EQ 5D).
RESULTS: Data from 1,976 patients were analysed. At least 14% (95% CI [12%, 16%]) of patients indicated suicidal ideations within the last 2 weeks. Bivariate analyses yielded associations between suicidal ideation and higher levels of depression severity, anxiety severity, somatic symptom burden, chest pain, shortness of breath, negative illness perceptions, reduced health-related quality of life, and a higher probability of living alone (all p < 0.001). A multivariable ordinal regression revealed depression severity and anxiety severity to show the highest associations with suicidal ideation (ORPHQ-8  = 1.22, p < 0.001; ORGAD-7  = 1.09, p < 0.001). Having a defibrillator implant was associated with a lower probability of suicidal ideation (OR = 0.27, p = 0.017).
CONCLUSIONS: This study identified several clinical vulnerabilities of suicidal ideation. The results stress the importance of screening for suicidal ideation in clinical practice.
© 2018 John Wiley & Sons, Ltd.

Entities:  

Keywords:  coronary heart disease; depressive disorder; hypertension; prognosis; suicidal ideation; vulnerability

Mesh:

Year:  2018        PMID: 29971880     DOI: 10.1002/cpp.2305

Source DB:  PubMed          Journal:  Clin Psychol Psychother        ISSN: 1063-3995


  7 in total

Review 1.  Screening and Management of Depression in Patients With Cardiovascular Disease: JACC State-of-the-Art Review.

Authors:  Manish K Jha; Arman Qamar; Muthiah Vaduganathan; Dennis S Charney; James W Murrough
Journal:  J Am Coll Cardiol       Date:  2019-04-16       Impact factor: 24.094

2.  Efficacy of internet-delivered cognitive behavioural therapy following an acute coronary event: A randomized controlled trial.

Authors:  L H Schneider; H D Hadjistavropoulos; B F Dear; N Titov
Journal:  Internet Interv       Date:  2020-05-07

3.  Suicidal ideation among the hypertensive individuals in Shandong, China: a path analysis.

Authors:  Dandan Ge; Xinyi Zhang; Xiaolei Guo; Jie Chu; Long Sun; Chengchao Zhou
Journal:  BMC Psychiatry       Date:  2019-09-02       Impact factor: 3.630

4.  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.

Authors:  Yongjie Zhou; Wenchao Ren; Qianqian Sun; Katherine M Yu; Xiaoe Lang; Zezhi Li; Xiang Yang Zhang
Journal:  Transl Psychiatry       Date:  2021-02-04       Impact factor: 7.989

5.  Association of chronic diseases and lifestyle factors with suicidal ideation among adults aged 18-69 years in Eswatini: evidence from a population-based survey.

Authors:  Mfundi President Sebenele Motsa; Hung-Yi Chiou; Yi-Hua Chen
Journal:  BMC Public Health       Date:  2021-12-10       Impact factor: 3.295

6.  Prevalence and correlates of suicidal ideation among older adults attending primary care clinics in Wuhan, China: A multicenter cross-sectional study.

Authors:  Xiao-Min Zhu; Yan-Min Xu; Zong-Qin Wang; Bao-Liang Zhong
Journal:  Front Psychiatry       Date:  2022-09-09       Impact factor: 5.435

7.  Prediction of Suicidal Ideation among Korean Adults Using Machine Learning: A Cross-Sectional Study.

Authors:  Bumjo Oh; Je-Yeon Yun; Eun Chong Yeo; Dong-Hoi Kim; Jin Kim; Bum-Joo Cho
Journal:  Psychiatry Investig       Date:  2020-03-27       Impact factor: 2.505

  7 in total

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