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Suh M. Increased Parasympathetic Activity as a Fall Risk Factor Beyond Conventional Factors in Institutionalized Older Adults with Mild Cognitive Impairment. Asian Nurs Res (Korean Soc Nurs Sci) 2023; 17:150-157. [PMID: 37150295 DOI: 10.1016/j.anr.2023.05.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Revised: 04/26/2023] [Accepted: 05/02/2023] [Indexed: 05/09/2023] Open
Abstract
PURPOSE This study aimed to investigate autonomic nervous function during the orthostatic challenge and its relationship with depression and fall, and to elucidate fall-associated factors, including autonomic function, executive function, and depression among institutionalized older adults with mild cognitive impairment (MCI). METHODS This study employed a descriptive cross-sectional design. Fall experiences in the current institutions were researched. Heart rate variability (HRV) during the orthostatic challenge was measured. Executive function was evaluated using the semantic verbal fluency test and clock drawing test. Depression was assessed using the Geriatric Depression Scale. RESULTS Of the 115 older adults, 17 (14.8%) experienced falls in the current institution. None of the HRV indices during the orthostatic challenge showed any significant changes except for the standard deviation of normal RR intervals (p = .037) in the institutionalized older adults with MCI. None of the HRV indices was significantly related to the depressive symptoms. Multivariate logistic regression analysis showed that normalized high frequency on lying was independently associated with falls (OR = 1.027, p = .049) after adjusting for other conventional fall risk factors although executive function and depressive symptoms were not significant factors for falls. CONCLUSIONS Institutionalized older adults with MCI were vulnerable to autonomic nervous modulation, especially to sympathetic modulation, during the orthostatic challenge, which was not associated with depressive symptoms. As increased resting parasympathetic activity seemed to play a key role in association with falls, autonomic nervous function assessment should be considered for fall risk evaluation.
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Affiliation(s)
- Minhee Suh
- Department of Nursing, Inha University, Incheon, Republic of Korea.
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2
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Fiani D, Campbell H, Solmi M, Fiedorowicz JG, Calarge CA. Impact of antidepressant use on the autonomic nervous system: A meta-analysis and systematic review. Eur Neuropsychopharmacol 2023; 71:75-95. [PMID: 37075594 DOI: 10.1016/j.euroneuro.2023.03.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Revised: 03/20/2023] [Accepted: 03/29/2023] [Indexed: 04/21/2023]
Abstract
Changes in cardiac autonomic nervous system (ANS) regulation observed in psychiatric disorders may be mitigated by antidepressants. We meta-analyzed and systematically reviewed studies examining antidepressants' effects on ANS outcomes, including heart rate variability (HRV). We conducted a PRISMA/MOOSE-compliant search of PubMed and Scopus until March 28th, 2022. We included randomized placebo-controlled trials (RCTs) and pre-post studies, regardless of diagnosis. We pooled results in random-effects meta-analyses, pooling homogeneous study designs and outcomes. We conducted sensitivity analyses and assessed quality of included studies. Thirty studies could be meta-analyzed. Selective serotonin reuptake inhibitors (SSRIs) were significantly associated with a reduction in the square root of the mean-squared difference between successive R-R intervals (RMSSD) (SMD= -0.48) and skin conductance response (SMD= -0.55) in RCTs and with a significant increase in RMSSD in pre-post studies (SMD=0.27). In pre-post studies, tricyclic antidepressants (TCAs) were associated with a significant decrease in several HRV outcomes while agomelatine was associated with a significant increase in high frequency power (SMD= 0.14). In conclusion, SSRIs reduce skin conductance response but have no or inconclusive effects on other ANS outcomes, depending on study design. TCAs reduce markers of parasympathetic function while agomelatine might have the opposite effect. Studies are needed to investigate the impact of SSRIs on the recovery of cardiac ANS regulation after acute myocardial infarction, and the effects of newer antidepressants.
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Affiliation(s)
- Dimitri Fiani
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, United States
| | - Hannah Campbell
- Duke Department of Psychiatry & Behavioral Sciences, Duke University, Durham, NC, United States
| | - Marco Solmi
- Department of Psychiatry, University of Ottawa, Ottawa, ON, Canada; Department of Child and Adolescent Psychiatry, Charité Universitätsmedizin, Berlin, Germany
| | - Jess G Fiedorowicz
- Department of Child and Adolescent Psychiatry, Charité Universitätsmedizin, Berlin, Germany
| | - Chadi A Calarge
- Menninger Department of Psychiatry and Behavioral Sciences, Department of Pediatrics, Baylor College of Medicine, Houston, TX, United States.
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Liu X, Lin W, Huang J, Cao Z, Wu M, Chen Z, Zhu W, Tan Z, Yu P, Ma J, Chen Y, Zhang Y, Wang J. Depressive symptoms, anxiety and social stress are associated with diminished cardiovascular reactivity in a psychological treatment-naive population. J Affect Disord 2023; 330:346-354. [PMID: 36871916 DOI: 10.1016/j.jad.2023.02.150] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Revised: 02/25/2023] [Accepted: 02/28/2023] [Indexed: 03/07/2023]
Abstract
BACKGROUND There is now an increasing appreciation of how psychological health can contribute to cardiovascular disease, called the mind-heart connection. A blunted cardiovascular reactivity to depression and anxiety may be responsible for the potential mechanism, however, with inconsistent results. Anti-psychological drugs have an effect on the cardiovascular system and, thus, may disturb their relationship. However, in treatment-naive individuals with psychological symptoms, no research has specifically evaluated the relationship between psychological state and cardiovascular reactivity. METHODS We included 883 treatment-naive individuals who came from a longitudinal cohort study of Midlife in the United States. Symptoms of depression, anxiety, and stress were assessed by the Center for Epidemiologic Studies Depression Scale (CES-D), Spielberger Trait Anxiety Inventory (STAI), the Liebowitz Social Anxiety scale (LSAS) and the Perceived Stress Scale (PSS), respectively. Cardiovascular reactivity was measured using standardized, laboratory-based stressful tasks. RESULTS Treatment-naive individuals with depressive symptoms (CES-D ≥ 16), anxiety symptoms (STAI ≥ 54), and higher stress levels (PSS ≥ 27) had lower cardiovascular reactivity as assessed by systolic blood pressure (SBP) reactivity, diastolic blood pressure (DBP) reactivity and heart rate (HR) reactivity (P < 0.05). Pearson analyses showed that psychological symptoms were correlated with lower SBP reactivity, DBP reactivity, and heart rate reactivity (P < 0.05). Multivariate linear regression showed that depression and anxiety were negatively related to lower cardiovascular reactivity (SBP, DBP and HR reactivity) after full adjustments (P < 0.05). Stress was associated with reduced SBP and DBP reactivity but with a nonsignificant association with HR reactivity (P = 0.056). CONCLUSION Depression, anxiety, and stress symptoms are associated with blunted cardiovascular reactivity in treatment-naive adult Americans. These findings suggest that blunted cardiovascular reactivity is an underlying mechanism linking psychological health and cardiovascular diseases.
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Affiliation(s)
- Xiao Liu
- Department of Cardiology, Sun Yat-Sen Memorial Hospital of Sun Yat-sen University, Guangzhou, China; Guangdong Province Key Laboratory of Arrhythmia and Electrophysiology, Guangzhou, China; Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangdong-Hong Kong Joint Laboratory for RNA Medicine, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Weichun Lin
- Department of Gastroenterology, the Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Jingjing Huang
- Department of Cardiology, Sun Yat-Sen Memorial Hospital of Sun Yat-sen University, Guangzhou, China
| | - Zhengyu Cao
- Department of Cardiology, Sun Yat-Sen Memorial Hospital of Sun Yat-sen University, Guangzhou, China; Guangdong Province Key Laboratory of Arrhythmia and Electrophysiology, Guangzhou, China; Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangdong-Hong Kong Joint Laboratory for RNA Medicine, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Maoxiong Wu
- Department of Cardiology, Sun Yat-Sen Memorial Hospital of Sun Yat-sen University, Guangzhou, China; Guangdong Province Key Laboratory of Arrhythmia and Electrophysiology, Guangzhou, China; Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangdong-Hong Kong Joint Laboratory for RNA Medicine, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Zhiteng Chen
- Department of Cardiology, Sun Yat-Sen Memorial Hospital of Sun Yat-sen University, Guangzhou, China; Guangdong Province Key Laboratory of Arrhythmia and Electrophysiology, Guangzhou, China; Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangdong-Hong Kong Joint Laboratory for RNA Medicine, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Wengen Zhu
- Department of Cardiology, the First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Ziqi Tan
- Department of Endocrine, the Second Affiliated Hospital of Nanchang University, Jiangxi, China
| | - Peng Yu
- Department of Endocrine, the Second Affiliated Hospital of Nanchang University, Jiangxi, China
| | - Jianyong Ma
- Department of Pharmacology and Systems Physiology, University of Cincinnati College of Medicine, Cincinnati, United States
| | - Yangxin Chen
- Department of Cardiology, Sun Yat-Sen Memorial Hospital of Sun Yat-sen University, Guangzhou, China; Guangdong Province Key Laboratory of Arrhythmia and Electrophysiology, Guangzhou, China; Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangdong-Hong Kong Joint Laboratory for RNA Medicine, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Yuling Zhang
- Department of Cardiology, Sun Yat-Sen Memorial Hospital of Sun Yat-sen University, Guangzhou, China; Guangdong Province Key Laboratory of Arrhythmia and Electrophysiology, Guangzhou, China; Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangdong-Hong Kong Joint Laboratory for RNA Medicine, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China.
| | - Jingfeng Wang
- Department of Cardiology, Sun Yat-Sen Memorial Hospital of Sun Yat-sen University, Guangzhou, China; Guangdong Province Key Laboratory of Arrhythmia and Electrophysiology, Guangzhou, China; Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangdong-Hong Kong Joint Laboratory for RNA Medicine, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China.
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Ogunmoroti O, Osibogun O, Spatz ES, Okunrintemi V, Mathews L, Ndumele CE, Michos ED. A systematic review of the bidirectional relationship between depressive symptoms and cardiovascular health. Prev Med 2022; 154:106891. [PMID: 34800472 DOI: 10.1016/j.ypmed.2021.106891] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Revised: 11/10/2021] [Accepted: 11/14/2021] [Indexed: 12/25/2022]
Abstract
Depression is a mental health disorder associated with a 2-fold increase in cardiovascular disease risk. However, the association between depression and cardiovascular health (CVH), as reflected by the American Heart Association's (AHA) CVH metrics, is incompletely understood. We aimed to systematically review the current evidence to understand and clarify whether a bidirectional relationship exists between depressive symptoms and CVH. We conducted a systematic review by searching EMBASE, Google Scholar, PubMed and Web of Science from inception to May 2021. MeSH terms and keywords were used to identify studies with information on depressive symptoms and CVH. Among 132 articles screened, 11 studies were included with 101,825 participants. Eight studies were cross-sectional while 3 studies used a prospective cohort design. Five studies found an association between participants with unfavorable CVH and depressive symptoms. Six studies found an association between participants with depressive symptoms and unfavorable CVH. In summary, we found a bidirectional relationship may exist between depressive symptoms and CVH. Further research is required to quantify the risk and identify the biological mechanisms underlying the association between depressive symptoms and unfavorable CVH so adequate screening and interventions can be directed towards people with depressive symptoms or unfavorable CVH.
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Affiliation(s)
- Oluseye Ogunmoroti
- Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University, Baltimore, MD, USA; Division of Cardiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
| | - Olatokunbo Osibogun
- Department of Epidemiology, Robert Stempel College of Public Health and Social Work, Florida International University, Miami, FL, USA.
| | - Erica S Spatz
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, CT, USA; Section of Cardiovascular Medicine, Yale School of Medicine, New Haven, CT, USA
| | | | - Lena Mathews
- Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University, Baltimore, MD, USA; Division of Cardiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Chiadi E Ndumele
- Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University, Baltimore, MD, USA; Division of Cardiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Erin D Michos
- Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University, Baltimore, MD, USA; Division of Cardiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
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Catrambone V, Messerotti Benvenuti S, Gentili C, Valenza G. Intensification of functional neural control on heartbeat dynamics in subclinical depression. Transl Psychiatry 2021; 11:221. [PMID: 33854037 PMCID: PMC8046790 DOI: 10.1038/s41398-021-01336-4] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/15/2021] [Accepted: 03/30/2021] [Indexed: 01/06/2023] Open
Abstract
Subclinical depression (dysphoria) is a common condition that may increase the risk of major depression and leads to impaired quality of life and severe comorbid somatic diseases. Despite its prevalence, specific biological markers are unknown; consequently, the identification of dysphoria currently relies exclusively on subjective clinical scores and structured interviews. Based on recent neurocardiology studies that link brain and cardiovascular disorders, it was hypothesized that multi-system biomarkers of brain-body interplay may effectively characterize dysphoria. Thus, an ad hoc computational technique was developed to quantify the functional bidirectional brain-heart interplay. Accordingly, 32-channel electroencephalographic and heart rate variability series were obtained from 24 young dysphoric adults and 36 healthy controls. All participants were females of a similar age, and results were obtained during a 5-min resting state. The experimental results suggest that a specific feature of dysphoria is linked to an augmented functional central-autonomic control to the heart, which originates from central, frontopolar, and occipital oscillations and acts through cardiovascular sympathovagal activity. These results enable further development of a large set of novel biomarkers for mood disorders based on comprehensive brain-body measurements.
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Affiliation(s)
- Vincenzo Catrambone
- Research Center E. Piaggio & Department of Information Engineering, School of Engineering, University of Pisa, 56126, Pisa, Italy.
| | | | - Claudio Gentili
- grid.5608.b0000 0004 1757 3470Department of General Psychology, University of Padua, 35131 Padua, Italy
| | - Gaetano Valenza
- grid.5395.a0000 0004 1757 3729Research Center E. Piaggio & Department of Information Engineering, School of Engineering, University of Pisa, 56126 Pisa, Italy
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Vaccarino V, Badimon L, Bremner JD, Cenko E, Cubedo J, Dorobantu M, Duncker DJ, Koller A, Manfrini O, Milicic D, Padro T, Pries AR, Quyyumi AA, Tousoulis D, Trifunovic D, Vasiljevic Z, de Wit C, Bugiardini R. Depression and coronary heart disease: 2018 position paper of the ESC working group on coronary pathophysiology and microcirculation. Eur Heart J 2020; 41:1687-1696. [PMID: 30698764 PMCID: PMC10941327 DOI: 10.1093/eurheartj/ehy913] [Citation(s) in RCA: 181] [Impact Index Per Article: 45.3] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/30/2018] [Revised: 10/25/2018] [Accepted: 01/03/2019] [Indexed: 12/13/2022] Open
Affiliation(s)
- Viola Vaccarino
- Department of Epidemiology, Rollins School of Public Health, Emory University, 1518 Clifton Road Northeast, Atlanta, GA, 30322, USA
- Department of Medicine (Cardiology), Emory University School of Medicine, 1518 Clifton Road Northeast, Atlanta, GA, 30322, USA
| | - Lina Badimon
- Cardiovascular Program (ICCC), IR-Hospital de la Santa Creu i Sant Pau. CiberCV-Institute Carlos III. Autonomous University of Barcelona, C/ Sant Antoni Maria Claret, 167, 08025, Barcelona, Spain
| | - J Douglas Bremner
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, 12 Executive Park Drive Northeast, Atlanta, GA, 30329, USA
- Department of Radiology, Emory University School of Medicine, 1364 Clifton Road Northeast, Atlanta, GA, 30322, USA
- Atlanta Veterans Administration Medical Center, 670 Clairmont Road, Decatur, GA, 30033, USA
| | - Edina Cenko
- Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Via Giuseppe Massarenti 9, 40138, Bologna, Italy
| | - Judit Cubedo
- Cardiovascular Program (ICCC), IR-Hospital de la Santa Creu i Sant Pau. CiberCV-Institute Carlos III. Autonomous University of Barcelona, C/ Sant Antoni Maria Claret, 167, 08025, Barcelona, Spain
| | - Maria Dorobantu
- Cardiology Department, University of Medicine and Pharmacy ‘Carol Davila’ of Bucharest, Emergency Clinical Hospital of Bucharest, Calea Floreasca 8, Sector 1, Bucuresti, 014461, Romania
| | - Dirk J Duncker
- Division of Experimental Cardiology, Department of Cardiology, Thoraxcenter, Cardiovascular Research Institute COEUR, Erasmus MC, University Medical Center, Rotterdam, Dr. Molewaterplein 40, 3015 GD, Rotterdam, The Netherlands
| | - Akos Koller
- Institute of Natural Sciences, University of Physical Education, Alkotas street, 44, 1123, Budapest, Hungary
- Department of Physiology, New York Medical College, Valhalla, NY, 10595, USA
| | - Olivia Manfrini
- Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Via Giuseppe Massarenti 9, 40138, Bologna, Italy
| | - Davor Milicic
- Department for Cardiovascular Diseases, University Hospital Center Zagreb, University of Zagreb, Kispaticeva 12, HR-10000, Zagreb, Croatia
| | - Teresa Padro
- Cardiovascular Program (ICCC), IR-Hospital de la Santa Creu i Sant Pau. CiberCV-Institute Carlos III. Autonomous University of Barcelona, C/ Sant Antoni Maria Claret, 167, 08025, Barcelona, Spain
| | - Axel R Pries
- Department of Physiology, Charitè-University Medicine, Thielallee 71, D-14195, Berlin, Germany
| | - Arshed A Quyyumi
- Department of Medicine (Cardiology), Emory University School of Medicine, 1518 Clifton Road Northeast, Atlanta, GA, 30322, USA
| | - Dimitris Tousoulis
- First Department of Cardiology, Hippokration Hospital, University of Athens Medical School, Vasilissis Sofias 114, TK 115 28, Athens, Greece
| | - Danijela Trifunovic
- Department of Cardiology, University Clinical Center of Serbia, Pasterova 2, 11000, Belgrade, Serbia
- School of Medicine, University of Belgrade, Dr Subotica 8, 11000, Belgrade, Serbia
| | - Zorana Vasiljevic
- School of Medicine, University of Belgrade, Dr Subotica 8, 11000, Belgrade, Serbia
| | - Cor de Wit
- Institut für Physiologie, Universität zu Lübeck and Deutsches Zentrumfür Herz-Kreislauf-Forschung (DZHK), Ratzeburger Allee 160, 23538, Lübeck, Germany
| | - Raffaele Bugiardini
- Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Via Giuseppe Massarenti 9, 40138, Bologna, Italy
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Hu MX, Milaneschi Y, Lamers F, Nolte IM, Snieder H, Dolan CV, Penninx BWJH, de Geus EJC. The association of depression and anxiety with cardiac autonomic activity: The role of confounding effects of antidepressants. Depress Anxiety 2019; 36:1163-1172. [PMID: 31622521 PMCID: PMC6916630 DOI: 10.1002/da.22966] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/16/2019] [Revised: 08/22/2019] [Accepted: 10/02/2019] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND Depression and anxiety may unfavorably impact on cardiac autonomic dysregulation. However, it is unclear whether this relationship results from a causal effect or may be attributable to confounding factors. We tested the relationship between depression and anxiety with heart rate (HR) and heart rate variability (HRV) across a 9-year follow-up (FU) period and investigated possible confounding by antidepressant use and genetic pleiotropy. METHODS Data (no. of observations = 6,994, 65% female) were obtained from the longitudinal Netherlands Study of Depression and Anxiety, with repeated waves of data collection of HR, HRV, depression, anxiety, and antidepressant use. Summary statistics from meta-analyses of genome-wide association studies were used to derive polygenic risk scores of depression, HR, and HRV. RESULTS Across the 9-year FU, generalized estimating equations analyses showed that the relationship between cardiac autonomic dysregulation and depression/anxiety rendered nonsignificant after adjusting for antidepressant use. A robust association was found between antidepressant use (especially tricyclic antidepressants, selective serotonin, and noradrenalin reuptake inhibitors) and unfavorable cardiac autonomic activity across all waves. However, no evidence was found for a genetic correlation of depression with HR and HRV, indicating that confounding by genetic pleiotropy is minimal. CONCLUSIONS Our results indicate that the association between depression/anxiety and cardiac autonomic dysregulation does not result from a causal pathway or genetic pleiotropy, and these traits might therefore not be inevitably linked. Previously reported associations were likely confounded by the use of certain classes of antidepressants.
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Affiliation(s)
- Mandy X. Hu
- Department of Psychiatry, Amsterdam Public Health Research Institute, Amsterdam UMCVrije Universiteit AmsterdamAmsterdamThe Netherlands
| | - Yuri Milaneschi
- Department of Psychiatry, Amsterdam Public Health Research Institute, Amsterdam UMCVrije Universiteit AmsterdamAmsterdamThe Netherlands
| | - Femke Lamers
- Department of Psychiatry, Amsterdam Public Health Research Institute, Amsterdam UMCVrije Universiteit AmsterdamAmsterdamThe Netherlands
| | - Ilja M. Nolte
- Department of Epidemiology, Medical Center GroningenUniversity of GroningenGroningenThe Netherlands
| | - Harold Snieder
- Department of Epidemiology, Medical Center GroningenUniversity of GroningenGroningenThe Netherlands
| | - Conor V. Dolan
- Department of Biological PsychologyVU UniversityAmsterdamThe Netherlands
| | - Brenda W. J. H. Penninx
- Department of Psychiatry, Amsterdam Public Health Research Institute, Amsterdam UMCVrije Universiteit AmsterdamAmsterdamThe Netherlands
| | - Eco J. C. de Geus
- Department of Biological PsychologyVU UniversityAmsterdamThe Netherlands
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8
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Antidepressants-related cardiovascular adverse events using the adverse event reporting system. Psychiatry Res 2018; 268:441-446. [PMID: 30130711 DOI: 10.1016/j.psychres.2018.07.044] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/13/2018] [Revised: 07/25/2018] [Accepted: 07/31/2018] [Indexed: 01/17/2023]
Abstract
The aim of this study was to evaluate clinical manifestations and the age and sex distribution of cardiovascular adverse events (CVAEs) related to antidepressants. The FDA Adverse Event Reporting System (FAERS) and Korea Adverse Event Reporting System (KAERS) database records on patients prescribed antidepressants were used. The frequency of CVAEs was compared between adults (19-64 years) and an older (age ≥ 65 years) group. In total, 75,608 CVAEs from 43,824 patients and 325 CVAEs from 313 patients in FAERS and KAERS, respectively, were included in the analysis. Among them, 7066 (16.08%) and 103 (32.91%) patients were 65 years of age or older in FAERS and KAERS, respectively. Serious AEs were significantly more common among older patients compared to adults in both the FAERS and KAERS datasets. CVAEs were frequently reported with paroxetine and duloxetine in the FAERS, while amitriptyline and duloxetine were reported in the KAERS. The two most frequent CVAEs were "ventricular arrhythmias and cardiac arrest" and "rate and rhythm disorders" in the FAERS, while "hypotension", and "oedema", were found in the KAERS. Several CVAEs were detected by the reporting odds ratios and proportional reporting ratios methods. The serious AEs associated with antidepressants might have a significant impact on older patients.
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9
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Hu MX, Penninx BW, de Geus EJ, Lamers F, Kuan DCH, Wright AG, Marsland AL, Muldoon MF, Manuck SB, Gianaros PJ. Associations of immunometabolic risk factors with symptoms of depression and anxiety: The role of cardiac vagal activity. Brain Behav Immun 2018; 73:493-503. [PMID: 29920329 PMCID: PMC7066576 DOI: 10.1016/j.bbi.2018.06.013] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/29/2017] [Revised: 05/24/2018] [Accepted: 06/15/2018] [Indexed: 01/19/2023] Open
Abstract
OBJECTIVES This study examined 1) the cross-sectional relationships between symptoms of depression/anxiety and immunometabolic risk factors, and 2) whether these relationships might be explained in part by cardiac vagal activity. METHODS Data were drawn from the Adult Health and Behavior registries (n = 1785), comprised of community dwelling adults (52.8% women, aged 30-54). Depressive symptoms were measured with the Center for Epidemiological Studies Depression Scale (CES-D) and the Beck Depression Inventory-II (BDI-II), and anxious symptoms with the Trait Anxiety scale of the State-Trait Anxiety Inventory (STAI-T). Immunometabolic risk factors included fasting levels of triglycerides, high-density lipoproteins, glucose, and insulin, as well as blood pressure, waist circumference, body mass index, C-reactive protein, and interleukin-6. Measures of cardiac autonomic activity were high- and low-frequency indicators of heart rate variability (HRV), standard deviation of normal-to-normal R-R intervals, and the mean of absolute and successive differences in R-R intervals. RESULTS Higher BDI-II scores, in contrast to CES-D and STAI-T scores, were associated with increased immunometabolic risk and decreased HRV, especially HRV likely reflecting cardiac vagal activity. Decreased HRV was also associated with increased immunometabolic risk. Structural equation models indicated that BDI-II scores may relate to immunometabolic risk via cardiac vagal activity (indirect effect: β = .012, p = .046) or to vagal activity via immunometabolic risk (indirect effect: β = -.015, p = .021). CONCLUSIONS Depressive symptoms, as measured by the BDI-II, but not anxious symptoms, were related to elevated levels of immunometabolic risk factors and low cardiac vagal activity. The latter may exhibit bidirectional influences on one another in a meditational framework. Future longitudinal, intervention, an nonhuman animal work is needed to elucidate the precise and mechanistic pathways linking depressive symptoms to immune, metabolic, and autonomic parameters of physiology that predispose to cardiovascular disease risk.
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Affiliation(s)
- Mandy X. Hu
- Amsterdam Public Health Research Institute, Department of Psychiatry, VU University Medical Center, Amsterdam, The Netherlands,Corresponding author at: Oldenaller 1, 1081 HJ Amsterdam, The Netherlands. (M.X. Hu)
| | - Brenda W.J.H. Penninx
- Amsterdam Public Health Research Institute, Department of Psychiatry, VU University Medical Center, Amsterdam, The Netherlands
| | - Eco J.C. de Geus
- Department of Biological Psychology, VU University, Amsterdam, The Netherlands
| | - Femke Lamers
- Amsterdam Public Health Research Institute, Department of Psychiatry, VU University Medical Center, Amsterdam, The Netherlands
| | - Dora C.-H. Kuan
- Department of Psychology, University of Pittsburgh, PA, United States
| | - Aidan G.C. Wright
- Department of Psychology, University of Pittsburgh, PA, United States
| | - Anna L. Marsland
- Department of Psychology, University of Pittsburgh, PA, United States
| | - Matthew F. Muldoon
- Division of Cardiology, Department of Medicine, University of Pittsburgh School of Medicine, PA, United States
| | - Stephen B. Manuck
- Department of Psychology, University of Pittsburgh, PA, United States
| | - Peter J. Gianaros
- Department of Psychology, University of Pittsburgh, PA, United States
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10
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Heart rate variability alterations in late life depression: A meta-analysis. J Affect Disord 2018; 235:456-466. [PMID: 29679898 DOI: 10.1016/j.jad.2018.04.071] [Citation(s) in RCA: 47] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/11/2017] [Revised: 03/20/2018] [Accepted: 04/07/2018] [Indexed: 12/16/2022]
Abstract
OBJECTIVE There is strong evidence for a bi-directional relationship between heart-health and depression in later life, but the physiological mechanisms underlying this relationship remain unclear. Heart rate variability is one promising factor that might help explain this relationship. We present results of a meta-analysis that considers heart rate variability alterations in older adults with depression. METHODS Literature search of Embase, PsychInfo and Medline revealed five clinical studies and six observational studies that examined the relationship between heart rate variability and depression in adults with a mean age over 60. These studies were included in this meta-analysis. RESULTS Heart rate variability was reduced among older adults with clinical depression (N = 550), relative to healthy controls (Hedges' g = -0.334, 95%CI [-0.579, -0.090], p = .007). When high-frequency and low-frequency heart rate variability were investigated separately, only low-frequency heart rate variability was significantly reduced in depressed patients (Hedges' g = -0.626, 95%CI [-1.083, -0.169], p = .007). A similar but weaker pattern of results was found in the observational studies. Most findings remained significant among unmedicated depressed older adults. LIMITATIONS Evidence of effect-size heterogeneity was found in the clinical studies, indicating the need for more well-designed research in the area. CONCLUSION Heart rate variability is reduced among older adults with depression, and this effect is not fully attributable to antidepressant medication use. Specifically, low-frequency heart rate variability may be reduced in depressed older adults. Heart rate variability warrants further attention, as it could help inform research into the prevention and treatment of depression in later life.
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Schumann A, Andrack C, Bär KJ. Differences of sympathetic and parasympathetic modulation in major depression. Prog Neuropsychopharmacol Biol Psychiatry 2017; 79:324-331. [PMID: 28710030 DOI: 10.1016/j.pnpbp.2017.07.009] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/19/2016] [Revised: 07/09/2017] [Accepted: 07/09/2017] [Indexed: 10/19/2022]
Abstract
Inconsistent results have been reported with respect to cardiac autonomic function in major depression. The aim of our study was to investigate autonomic function in various branches of the autonomic nervous system in order to better understand parasympathetic and sympathetic modulation in the disease. We investigated 29 unmedicated patients suffering from major depression (MD) in comparison to matched control subjects (gender, age, BMI). The autonomic assessment at rest included values of heart rate variability (HRV), blood pressure variability (BPV), baroreflex sensitivity (BRS), respiration, skin conductance (SC) as well as the calculation of pupillary diameter and the unrest index (PUI). Results were compared by means of a multivariate analysis of variance. In a classification analysis, we identified suitable parameters for patient - control separation. Finally, to analyze interrelations of pupillometric parameters and autonomic indices, we estimated Pearson correlation coefficients and fitted a linear regression model. Apart from a significantly increased heart rate (75±12 vs. 65±6min-1, p<0.001) and decreased BRS (14±13 vs. 20±15ms/mmHg, p<0.05), we observed a lack of significant differences in HRV and BPV analysis between patients and controls. However, pupillary diameter (left: 4.3±0.9 vs. 3.8±0.6, p<0.01; right: 4.3±0.9 vs. 3.7±0.6mm, p<0.01) and PUI (left: 14.8±6.0 vs. 10.7±4.5mm/min, p<0.01; right: 14.1±5.5 vs. 10.7±4.8mm/min, p<0.01), as well as the level (left: 7.3±6.2 vs. 4.3±4.4 μS, p<0.05) and fluctuations of skin conductance (left: 4.2±4.1 vs. 2.5±3.6, p<0.05; right: 4.2±4.4 vs. 2.6±3.2, p<0.05) were significantly different. The classification accuracy was 88.5% with high specificity (e=92.9%) and sensitivity (s=83.3%) including heart rate, PUI and skin conductance. HRV indices correlated to PUI in controls but not in patients. Our data add evidence to the current debate on autonomic function in major depression. We suggest that diverse results are mainly caused by methodological shortcomings, in particular by the application of HRV assessment only, which misses changes of sympathetic modulation. The application of broader analyzing tools will clarify the pattern of autonomic function in depression and ultimately its role in cardiac morbidity and mortality.
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Affiliation(s)
- Andy Schumann
- Psychiatric Brain and Body Research Group, Department of Psychiatry and Psychotherapy, University Hospital Jena, Jena, Germany
| | - Caroline Andrack
- Psychiatric Brain and Body Research Group, Department of Psychiatry and Psychotherapy, University Hospital Jena, Jena, Germany
| | - Karl-Jürgen Bär
- Psychiatric Brain and Body Research Group, Department of Psychiatry and Psychotherapy, University Hospital Jena, Jena, Germany.
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12
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Pawlowski MA, Gazea M, Wollweber B, Dresler M, Holsboer F, Keck ME, Steiger A, Adamczyk M, Mikoteit T. Heart rate variability and cordance in rapid eye movement sleep as biomarkers of depression and treatment response. J Psychiatr Res 2017; 92:64-73. [PMID: 28411417 DOI: 10.1016/j.jpsychires.2017.03.026] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/03/2016] [Revised: 02/28/2017] [Accepted: 03/31/2017] [Indexed: 02/06/2023]
Abstract
OBJECTIVES The relevance of rapid eye movement (REM) sleep in affective disorders originates from its well-known abnormalities in depressed patients, who display disinhibition of REM sleep reflected by increased frequency of rapid eye movements (REM density). In this study we examined whether heart rate variability (HRV) and prefrontal theta cordance, both derived from REM sleep, could represent biomarkers of antidepressant treatment response. METHODS In an open-label, case-control design, thirty-three in-patients (21 females) with a depressive episode were treated with various antidepressants for four weeks. Response to treatment was defined as a ≥50% reduction of HAM-D score at the end of the fourth week. Sleep EEG was recorded after the first and the fourth week of medication. HRV was derived from 3-min artifact-free electrocardiogram segments during REM sleep. Cordance was computed for prefrontal EEG channels in the theta frequency band during tonic REM sleep. RESULTS HRV during REM sleep was decreased in depressed patients at week four as compared to controls (high effect size; Cohen's d > 1), and showed a negative correlation with REM density in both, healthy subjects and patients at week four. Further, the fourteen responders had significantly higher prefrontal theta cordance as compared to the nineteen non-responders after the first week of antidepressant medication; in contrast, HRV at week one did not discriminate between responders and non-responders. CONCLUSIONS Our data suggest that HRV in REM sleep categorizes healthy subjects and depressed patients, whereas REM sleep-derived prefrontal cordance may predict the response to antidepressant treatment in depressed patients.
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Affiliation(s)
| | - Mary Gazea
- Max Planck Institute of Psychiatry, Munich, Germany; University of Bern, Inselspital University Hospital, Department of Neurology, Bern, Switzerland
| | | | - Martin Dresler
- Radboud University Medical Centre, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands
| | | | | | - Axel Steiger
- Max Planck Institute of Psychiatry, Munich, Germany
| | - Marek Adamczyk
- Psychiatric Clinics of the University of Basel, Center for Affective, Stress and Sleep Disorders, Basel, Switzerland
| | - Thorsten Mikoteit
- Max Planck Institute of Psychiatry, Munich, Germany; Psychiatric Clinics of the University of Basel, Center for Affective, Stress and Sleep Disorders, Basel, Switzerland.
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Spinhoven P, van der Veen DC, Voshaar RCO, Comijs HC. Worry and cognitive control predict course trajectories of anxiety in older adults with late-life depression. Eur Psychiatry 2017. [PMID: 28641215 DOI: 10.1016/j.eurpsy.2017.05.002] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/19/2022] Open
Abstract
BACKGROUND Many older adults with depressive disorder manifest anxious distress. This longitudinal study examines the predictive value of worry as a maladaptive cognitive emotion regulation strategy, and resources necessary for successful emotion regulation (i.e., cognitive control and resting heart rate variability [HRV]) for the course of anxiety symptoms in depressed older adults. Moreover, it examines whether these emotion regulation variables moderate the impact of negative life events on severity of anxiety symptoms. METHODS Data of 378 depressed older adults (CIDI) between 60 and 93 years (of whom 144 [41%] had a comorbid anxiety disorder) from the Netherlands Study of Depression in Older Adults (NESDO) were used. Latent Growth Mixture Modeling was used to identify different course trajectories of six-months BAI scores. Univariable and multivariable longitudinal associations of worry, cognitive control and HRV with symptom course trajectories were assessed. RESULTS We identified a course trajectory with low and improving symptoms (57.9%), a course trajectory with moderate and persistent symptoms (33.5%), and a course trajectory with severe and persistent anxiety symptoms (8.6%). Higher levels of worry and lower levels of cognitive control predicted persistent and severe levels of anxiety symptoms independent of presence of anxiety disorder. However, worry, cognitive control and HRV did not moderate the impact of negative life events on anxiety severity. CONCLUSIONS Worry may be an important and malleable risk factor for persistence of anxiety symptoms in depressed older adults. Given the high prevalence of anxious depression in older adults, modifying worry may constitute a viable venue for alleviating anxiety levels.
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Affiliation(s)
- P Spinhoven
- Leiden University, Institute of Psychology, Leiden, The Netherlands; Leiden University Medical Centre, Department of Psychiatry, Leiden, The Netherlands.
| | - D C van der Veen
- University of Groningen, University Medical Center Groningen, Department of Psychiatry, Interdisciplinary Center of Psychopathology of Emotion regulation (ICPE), Groningen, The Netherlands
| | - R C Oude Voshaar
- University of Groningen, University Medical Center Groningen, Department of Psychiatry, Interdisciplinary Center of Psychopathology of Emotion regulation (ICPE), Groningen, The Netherlands
| | - H C Comijs
- GGZ inGeest/VU University Medical Centre, Department of Psychiatry/Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
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14
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Kuehl LK, Muhtz C, Hinkelmann K, Dettenborn L, Wingenfeld K, Spitzer C, Otte C. Association between major depression and cardiovascular risk: the role of antidepressant medication. Psychopharmacology (Berl) 2016; 233:3289-95. [PMID: 27465410 DOI: 10.1007/s00213-016-4361-3] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/30/2015] [Accepted: 06/18/2016] [Indexed: 10/21/2022]
Abstract
RATIONALE AND OBJECTIVES Major depressive disorder (MDD) is associated with an increased risk for cardiovascular disease (CVD). Apart from biological and life style factors, the use of antidepressants and their potentially adverse effects might contribute to the increased CVD risk. Therefore, we compared cardiovascular risk profiles between relatively young depressed patients without CVD with and without antidepressant medication and healthy participants. METHODS We investigated 44 depressed patients (with antidepressants N = 20 (13 women), mean age 43.2 years; without antidepressants N = 24 (15 women), mean age 40.0) and 41 healthy participants (matched for sex, age, education). As markers of CVD risk, blood pressure, body mass index (BMI), and plasma levels of fasting glucose, cholesterol, low density lipoprotein (LDL), high density lipoprotein (HDL), and high sensitivity C-reactive protein (h-CRP) were measured. RESULTS We found significant differences between groups for BMI (p < .01), systolic (p = .02) and diastolic blood pressure (p < .01), and glucose (p < .001). Post hoc analyses indicated differences between both patient groups compared to the healthy control group, but not between patients groups. Further controlling for BMI diminished the effect of diagnosis on blood pressure; however, this was not the case for glucose level. There were no between-group differences in cholesterol, LDL, HDL, and h-CRP. CONCLUSIONS We found a clearly increased CVD risk in this group of rather young depressed patients. Importantly, there was no significant difference in CVD risk between patients with vs. without antidepressants. This suggests that major depression per se and not antidepressant medication is associated with increased CVD risk.
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Affiliation(s)
- Linn K Kuehl
- Department of Psychiatry, Charité University Medical School Berlin, Campus Benjamin Franklin, Berlin, Germany.
| | - Christoph Muhtz
- Department of Psychosomatic Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Kim Hinkelmann
- Department of Psychiatry, Charité University Medical School Berlin, Campus Benjamin Franklin, Berlin, Germany
| | - Lucia Dettenborn
- Department of Medical Psychology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Katja Wingenfeld
- Department of Psychiatry, Charité University Medical School Berlin, Campus Benjamin Franklin, Berlin, Germany
| | | | - Christian Otte
- Department of Psychiatry, Charité University Medical School Berlin, Campus Benjamin Franklin, Berlin, Germany
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Penninx BWJH. Depression and cardiovascular disease: Epidemiological evidence on their linking mechanisms. Neurosci Biobehav Rev 2016; 74:277-286. [PMID: 27461915 DOI: 10.1016/j.neubiorev.2016.07.003] [Citation(s) in RCA: 299] [Impact Index Per Article: 37.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2015] [Revised: 05/22/2016] [Accepted: 07/06/2016] [Indexed: 12/17/2022]
Abstract
Depression's burden of disease goes beyond functioning and quality of life and extends to somatic health. Results from longitudinal cohort studies converge in illustrating that major depressive disorder (MDD) subsequently increases the risk of cardiovascular morbidity and mortality with about 80%. The impact of MDD on cardiovascular health may be partly explained by mediating mechanisms such as unhealthy lifestyle (smoking, excessive alcohol use, physical inactivity, unhealthy diet, therapy non-compliance) and unfavorable pathophysiological disturbances (autonomic, HPA-axis, metabolic and immuno-inflammatory dysregulations). A summary of the literature findings as well as relevant results from the large-scale Netherlands Study of Depression and Anxiety (N=2981) are presented. Persons with MDD have significantly worse lifestyles as well as more pathophysiological disturbances as compared to healthy controls. Some of these differences seem to be specific for (typical versus 'atypical', or antidepressant treated versus drug-naive) subgroups of MDD patients. Alternative explanations are also present, namely undetected confounding, iatrogenic effects or 'third factors' such as genetics.
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Affiliation(s)
- Brenda W J H Penninx
- Department of Psychiatry, EMGO+ Institute for Health and Care Research and Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands.
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16
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Empana JP, Prugger C, Thomas F, Perier MC, Zanoli L, Castiglioni P, Guibout C, Causeret S, Barnes C, Lemogne C, Parati G, Laurent S, Pannier B, Boutouyrie P, Jouven X. Serotonin and norepinephrine reuptake inhibitors antidepressant use is related to lower baroreflex sensitivity independently of the severity of depressive symptoms. A community-study of 9213 participants from the Paris Prospective Study III. Atherosclerosis 2016; 251:55-62. [PMID: 27266822 DOI: 10.1016/j.atherosclerosis.2016.05.040] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/02/2016] [Revised: 05/02/2016] [Accepted: 05/25/2016] [Indexed: 11/27/2022]
Abstract
BACKGROUND AND AIMS We assess the respective relationship of high depressive symptoms and antidepressant use (ATD) with baroreflex sensitivity (BRS) in subjects from the community who enrolled the Paris Prospective Study III. METHODS Recruitment took place in a large health preventive centre in Paris (France), between May 2008 and June 2012. BRS was investigated by spectral analysis of the spontaneous carotid distension rate and RR intervals using non-invasive high-resolution ultrasound carotid-echotracking. A total score ≥7 on a 13-item standardized questionnaire defined the presence of high depressive symptoms. Information on ATD use was obtained on a face-to-face interview with a medical doctor who checked the most recent medical prescriptions and/or medical package. RESULTS There were 9213 participants aged 50-75 years (38.6% of women), including 5.6% with high-depressive symptoms and 5.2% on ATD. High depressive symptoms were not associated with low BRS (below the median) even in unadjusted logistic regression analysis (OR = 1.09; 95%CI: 0.91-1.30). Instead, ATD use was related to low BRS in multivariate logistic regression analysis (OR = 1.27; 95% CI: 1.04-1.54). This association remains after adjusting for and matching on propensity score of receiving ATD. A specific association with serotonin and norepinephrine reuptake inhibitors was observed (OR = 1.94; 95% CI: 1.16-3.22). CONCLUSIONS ATD use and serotonin and norepinephrine reuptake inhibitors in particular, but not high depressive symptoms, is associated with low BRS. If confirmed, these results may bring novel insights into the mechanisms linking depressive symptoms and/or ATD use with cardiovascular disease onset.
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Affiliation(s)
- Jean-Philippe Empana
- INSERM, UMR-S970, Department of Epidemiology, Paris, France; Université Paris Descartes, Sorbonne Paris Cité, Faculté de Médecine, Paris, France.
| | - Christof Prugger
- INSERM, UMR-S970, Department of Epidemiology, Paris, France; Université Paris Descartes, Sorbonne Paris Cité, Faculté de Médecine, Paris, France
| | | | - Marie-Cécile Perier
- INSERM, UMR-S970, Department of Epidemiology, Paris, France; Université Paris Descartes, Sorbonne Paris Cité, Faculté de Médecine, Paris, France
| | | | | | - Catherine Guibout
- INSERM, UMR-S970, Department of Epidemiology, Paris, France; Université Paris Descartes, Sorbonne Paris Cité, Faculté de Médecine, Paris, France
| | - Sophie Causeret
- INSERM, UMR-S970, Department of Epidemiology, Paris, France; Université Paris Descartes, Sorbonne Paris Cité, Faculté de Médecine, Paris, France
| | - Caroline Barnes
- INSERM, UMR-S970, Department of Epidemiology, Paris, France; Université Paris Descartes, Sorbonne Paris Cité, Faculté de Médecine, Paris, France
| | - Cédric Lemogne
- Université Paris Descartes, Sorbonne Paris Cité, Faculté de Médecine, Paris, France; INSERM, U894, Centre Psychiatrie et Neuroscience, Paris, France; APHP, Georges Pompidou European Hospital, Departments of Psychiatry, Paris, France
| | - Gianfranco Parati
- Department of Cardiology, Istituto Auxologico Italiano, Milan, Italy; Department of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy
| | - Stéphane Laurent
- Université Paris Descartes, Sorbonne Paris Cité, Faculté de Médecine, Paris, France; INSERM, UMR-S970, Department of Pharmacology of Arterial Wall Mechanics, Paris, France; APHP, Georges Pompidou European Hospital, Department of Pharmacology, Paris, France
| | - Bruno Pannier
- Preventive and Clinical Investigation Centre, Paris, France
| | - Pierre Boutouyrie
- Université Paris Descartes, Sorbonne Paris Cité, Faculté de Médecine, Paris, France; INSERM, UMR-S970, Department of Pharmacology of Arterial Wall Mechanics, Paris, France; APHP, Georges Pompidou European Hospital, Department of Pharmacology, Paris, France
| | - Xavier Jouven
- INSERM, UMR-S970, Department of Epidemiology, Paris, France; Université Paris Descartes, Sorbonne Paris Cité, Faculté de Médecine, Paris, France; APHP, Georges Pompidou European Hospital, Department of Cardiology, Paris, France
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17
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Noordam R, van den Berg ME, Niemeijer MN, Aarts N, Hofman A, Tiemeier H, Kors JA, Stricker BH, Eijgelsheim M, Visser LE, Rijnbeek PR. Antidepressants and heart-rate variability in older adults: a population-based study. Psychol Med 2016; 46:1239-1247. [PMID: 26679009 DOI: 10.1017/s0033291715002779] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
BACKGROUND Tricyclic antidepressants (TCAs) and selective serotonin reuptake inhibitors (SSRIs) may be associated with lower heart rate variability (HRV), a condition associated with increased mortality risk. We aimed to investigate the association between TCAs, SSRIs and HRV in a population-based study. METHOD In the prospective Rotterdam Study cohort, up to five electrocardiograms (ECGs) per participant were recorded (1991-2012). Two HRV variables were studied based on 10-s ECG recordings: standard deviation of normal-to-normal RR intervals (SDNN) and root mean square of successive RR interval differences (RMSSD). We compared the HRV on ECGs recorded during use of antidepressants with the HRV on ECGs recorded during non-use of any antidepressant. Additionally, we analysed the change in HRV on consecutive ECGs. Those who started or stopped using antidepressants before the second ECG were compared with non-users on two ECGs. RESULTS We included 23 647 ECGs from 11 729 participants (59% women, mean age 64.6 years at baseline). Compared to ECGs recorded during non-use of antidepressants (n = 22 971), SDNN and RMSSD were lower in ECGs recorded during use of TCAs (n = 296) and SSRIs (n = 380). Participants who started using TCAs before the second ECG had a decrease in HRV and those who stopped had an increase in HRV compared to consistent non-users (p < 0.001). Starting or stopping SSRIs was not associated with HRV changes. CONCLUSION TCAs were associated with a lower HRV in all analyses, indicating a real drug effect. For SSRIs the results are mixed, indicating a weaker association, possibly due to other factors.
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Affiliation(s)
- R Noordam
- Department of Epidemiology,Erasmus MC - University Medical Center Rotterdam,Rotterdam,The Netherlands
| | - M E van den Berg
- Department of Medical Informatics,Erasmus MC - University Medical Center Rotterdam,Rotterdam,The Netherlands
| | - M N Niemeijer
- Department of Epidemiology,Erasmus MC - University Medical Center Rotterdam,Rotterdam,The Netherlands
| | - N Aarts
- Department of Epidemiology,Erasmus MC - University Medical Center Rotterdam,Rotterdam,The Netherlands
| | - A Hofman
- Department of Epidemiology,Erasmus MC - University Medical Center Rotterdam,Rotterdam,The Netherlands
| | - H Tiemeier
- Department of Epidemiology,Erasmus MC - University Medical Center Rotterdam,Rotterdam,The Netherlands
| | - J A Kors
- Department of Medical Informatics,Erasmus MC - University Medical Center Rotterdam,Rotterdam,The Netherlands
| | - B H Stricker
- Department of Epidemiology,Erasmus MC - University Medical Center Rotterdam,Rotterdam,The Netherlands
| | - M Eijgelsheim
- Department of Epidemiology,Erasmus MC - University Medical Center Rotterdam,Rotterdam,The Netherlands
| | - L E Visser
- Department of Epidemiology,Erasmus MC - University Medical Center Rotterdam,Rotterdam,The Netherlands
| | - P R Rijnbeek
- Department of Medical Informatics,Erasmus MC - University Medical Center Rotterdam,Rotterdam,The Netherlands
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Blood JD, Wu J, Chaplin TM, Hommer R, Vazquez L, Rutherford HJV, Mayes LC, Crowley MJ. The variable heart: High frequency and very low frequency correlates of depressive symptoms in children and adolescents. J Affect Disord 2015; 186:119-26. [PMID: 26233322 PMCID: PMC4565756 DOI: 10.1016/j.jad.2015.06.057] [Citation(s) in RCA: 42] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/21/2015] [Revised: 06/17/2015] [Accepted: 06/20/2015] [Indexed: 12/01/2022]
Abstract
BACKGROUND Work examining the link between lower heart rate variability (HRV) and depression in children and adolescents is lacking, especially in light of the physiological changes that occur during pubertal development. METHOD We investigated the association between spectral measures of resting HRV and depressive symptoms among 127 children and adolescents, ages 10-17. Using spectral analysis, we evaluated (1) the association between relative high frequency (HF) HRV and depressive symptoms; (2) the predictive power of relative HF HRV for depressive symptoms in the context of relative low frequency (LF) and relative very low frequency (VLF) HRV; and (3) the relationship between relative HF, LF, and VLF band activity, age and pubertal maturation. RESULTS Consistent with previous work, results revealed that relative HF HRV was negatively associated with self-reported depressive symptoms. As well, relative VLF HRV was positively associated with depressive symptoms. Regression analyses revealed that relative HF HRV and relative VLF HRV significantly predicted self-report depressive symptoms while controlling for age, sex and pubertal maturation, with relative VLF HRV emerging as the strongest indicator of depressive symptoms. Developmental findings also emerged. Age and pubertal maturation were negatively associated with relative HF HRV and positively correlated with relative VLF HRV. CONCLUSIONS Results provide support for the relationship between HRV and depression and suggest that both HF and VLF HRV are relevant to depression symptom severity. Findings also reinforce the importance of considering pubertal development when investigating HRV-depression associations in children and adolescents. LIMITATIONS Influences on cardiac control including physical activity levels and exercise patterns could be controlled in future work. Our data speak to a depressive symptom dimension and relative spectral power HRV. Thus, we cannot make strong claims about relative spectral power HRV and clinical depression.
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Affiliation(s)
- Julia D Blood
- School of Medicine, University of Texas Health Science Center, San Antonio, TX, USA
| | - Jia Wu
- Yale Child Study Center, Yale School of Medicine, New Haven, CT, USA; Developmental Electrophysiology Laboratory, Yale Child Study Center, New Haven, CT, USA
| | - Tara M Chaplin
- Department of Psychology, George Mason University, Fairfax, VA, USA
| | - Rebecca Hommer
- Emotion and Development Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA
| | - Lauren Vazquez
- Yale Child Study Center, Yale School of Medicine, New Haven, CT, USA
| | - Helena J V Rutherford
- Yale Child Study Center, Yale School of Medicine, New Haven, CT, USA; Developmental Electrophysiology Laboratory, Yale Child Study Center, New Haven, CT, USA
| | - Linda C Mayes
- Yale Child Study Center, Yale School of Medicine, New Haven, CT, USA; Developmental Electrophysiology Laboratory, Yale Child Study Center, New Haven, CT, USA
| | - Michael J Crowley
- Yale Child Study Center, Yale School of Medicine, New Haven, CT, USA; Program for Anxiety Disorders, Yale Child Study Center, New Haven, CT, USA; Developmental Electrophysiology Laboratory, Yale Child Study Center, New Haven, CT, USA; Center for Translational Developmental Neuroscience, Yale Child Study Center, New Haven, CT, USA.
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