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Foldes-Busque G, Dionne CE, Tremblay MA, Turcotte S, Fleet RP, Archambault PM, Denis I. A prospective investigation of the prognosis of noncardiac chest pain in emergency department patients. J Psychosom Res 2024; 186:111883. [PMID: 39213941 DOI: 10.1016/j.jpsychores.2024.111883] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/08/2024] [Revised: 07/25/2024] [Accepted: 08/05/2024] [Indexed: 09/04/2024]
Abstract
OBJECTIVES This study sought to describe the 2-year evolution of the intensity and frequency of noncardiac chest pain (NCCP), NCCP-related disability and health-related quality of life in a cohort of emergency department (ED) patients. It also aimed to identify and characterize subgroups of patients who share similar NCCP trajectories. METHODS 672 consecutive patients with NCCP were prospectively recruited in two EDs. NCCP, physical and mental health-related quality of life and pain-related impairment were assessed at baseline and 6 months, 1 year and 2 years after the index ED visit. RESULTS Significant reductions in the intensity and frequency of NCCP and in NCCP-related disability were observed over time, with 58.1% of patients being considered NCCP-free at the 2-year follow-up. Four trajectories of NCCP intensity were identified through latent class growth mixture modelling: Worsening Trajectory (6.8%), Persistence Trajectory (20.5%), Limited Improvement Trajectory (13.1%) and Remission Trajectory (59.5%). Physical quality of life was significantly higher in the latter two trajectories at all assessment points. Patients in the Remission Trajectory reported a better mental quality of life and a greater decrease in NCCP-related disability over time than those in the other trajectories. CONCLUSIONS Over 40% of ED patients with NCCP experienced persistent biopsychosocial morbidity that warrants further clinical attention.
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Affiliation(s)
- Guillaume Foldes-Busque
- School of Psychology, Université Laval, Québec, Québec, Canada; Research Centre of the Centre intégré de santé et de services sociaux de Chaudière-Appalaches, Lévis, Québec, Canada; Research Centre of the Québec Heart and Lung Institute, Québec, Québec, Canada.
| | - Clermont E Dionne
- Research Centre of the CHU de Québec-Université Laval, Québec, Québec, Canada; Department of Rehabilitation, Faculty of Medicine, Université Laval, Québec, Québec, Canada
| | - Marie-Andrée Tremblay
- School of Psychology, Université Laval, Québec, Québec, Canada; Research Centre of the Centre intégré de santé et de services sociaux de Chaudière-Appalaches, Lévis, Québec, Canada; Research Centre of the Québec Heart and Lung Institute, Québec, Québec, Canada
| | - Stéphane Turcotte
- Research Centre of the Centre intégré de santé et de services sociaux de Chaudière-Appalaches, Lévis, Québec, Canada
| | - Richard P Fleet
- Research Centre of the Centre intégré de santé et de services sociaux de Chaudière-Appalaches, Lévis, Québec, Canada; Department of Family Medicine and Emergency Medicine, Faculty of Medicine, Université Laval, Québec, Québec, Canada
| | - Patrick M Archambault
- Research Centre of the Centre intégré de santé et de services sociaux de Chaudière-Appalaches, Lévis, Québec, Canada; Department of Family Medicine and Emergency Medicine, Faculty of Medicine, Université Laval, Québec, Québec, Canada
| | - Isabelle Denis
- School of Psychology, Université Laval, Québec, Québec, Canada; Research Centre of the Centre intégré de santé et de services sociaux de Chaudière-Appalaches, Lévis, Québec, Canada; Centre de recherche universitaire sur les jeunes et les familles (CRUJeF), Québec, Québec, Canada
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Bahremand M, Komasi S. Which symptoms are the psychopathological core affecting the manifestation of pseudo-cardiac symptoms and poor sleep quality in young adults? Symptoms of personality disorders versus clinical disorders. Front Psychol 2022; 13:1011737. [PMID: 36571031 PMCID: PMC9784461 DOI: 10.3389/fpsyg.2022.1011737] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2022] [Accepted: 11/28/2022] [Indexed: 12/13/2022] Open
Abstract
Background Diagnosing and identifying the psychological origin of pseudo-cardiac symptoms and comorbid conditions such as poor sleep quality is very difficult due to its extensive and complex nature. The present study was conducted to determine the contribution of symptoms of personality disorders (PDs) and clinical disorders (CDs; i.e., psychological symptoms measured using the Symptom Checklist-90) to the manifestation of pseudo-cardiac symptoms and poor sleep quality. Methods Subjects in this cross-sectional study were 953 (64.3% female; 28.8 ± 6.2 years) community samples in the west of Iran who were selected by convenience sampling. After applying the inclusion criteria, data were collected using the Symptom Checklist-90 (SCL-90-R), the Personality Diagnostic Questionnaire (PDQ-4), and the Scale for Pseudo-Cardiac Symptoms and Poor Sleep Quality (SPSQ). Pearson correlations, factor analytical techniques, and hierarchical regression models were used to examine associations between symptoms of PDs/CDs and outcome factors. Results Factor analytical techniques confirmed both the integrated structure of symptoms of PDs and CDs. Both pseudo-cardiac symptoms and poor sleep quality were more strongly associated with symptoms of CDs than PDs. The results of the hierarchical analysis show that the CDs factor alone could explain the total variance of both pseudo-cardiac symptoms (change in R2 = 0.215 vs. 0.009; p < 0.001) and poor sleep quality (change in R2 = 0.221 vs. 0.001; p < 0.001). Conclusion The different capabilities of two unique factors for the symptoms of PDs and CDs were confirmed by factor analytical methods and regression analysis techniques. Although each of the symptoms of PDs and CDs independently contributes to the manifestation of pseudo-cardiac symptoms and poor sleep quality, the CDs factor is the psychopathological core.
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Affiliation(s)
- Mostafa Bahremand
- Department of Cardiology, Faculty of Medicine, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Saeid Komasi
- Department of Neuroscience and Psychopathology Research, Mind GPS Institute, Kermanshah, Iran,*Correspondence: Saeid Komasi,
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Barthle P. Heart-Focused Anxiety: An Evolutionary Concept Analysis. ANS Adv Nurs Sci 2022; 45:69-85. [PMID: 34225289 DOI: 10.1097/ans.0000000000000383] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
Although heart-focused anxiety is a common experience of patients following a myocardial infarction, it is one rarely addressed in nursing research. I used Rodger's evolutionary method of concept analysis to review uses of heart-focused anxiety in literature from several disciplines including nursing and synthesized a definition to guide future research. Heart-focused anxiety is an experience of avoidance, fear, and heart-focused attention that follows from cardiac diagnoses, somatic symptoms, and familial factors and results in adverse health outcomes, reassurance seeking, disruption of life, and recurrent chest pain. Although heart-focused anxiety is an evolving concept, the updated definition should help provide a foundation for future research. A Supplemental Digital Content video abstract is available at http://links.lww.com/ANS/A32.
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Affiliation(s)
- Pamela Barthle
- School of Nursing & Health Studies, University of Missouri-Kansas City, Kansas City
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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: 0.5] [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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