Depression and coronary heart disease: 2018 position paper of the ESC working group on coronary pathophysiology and microcirculation

Vaccarino, Viola; Badimon, Lina; Bremner, J. Douglas; Cenko, Edina; Cubedo, Judit; Dorobanțu, Maria; Duncker, Dirk J.; Koller, Ákos; Manfrini, Olivia; Miličić, Davor; Padró, Teresa; Pries, Axel R.; Quyyumi, Arshed A.; Tousoulis, Dimitris; Trifunović, Danijela; Vasiljević, Zorana; Wit, Cor de; Bugiardini, Raffaele

doi:10.1093/eurheartj/ehy913

Cited by 225 publications

(251 citation statements)

References 244 publications

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“…Depression has been further identified as independent risk factor and negative prognostic factor for many chronic somatic disorders, including diabetes, cardiovascular disease, hypertension, chronic respiratory disorders, and arthritis [18][19][20][21][22][23][24][25][26][27][28][29][30][31][32][33][34]. Comorbid depression in physical disease is related to poor quality of life, worse course of the physical disorder, higher functional impairment and disability, increased service utilization and higher medical costs, and increased mortality compared to the presence of either depression or the physical disease alone [18,20,24,25,[27][28][29][30][31][32][33][34][35][36][37][38].…”

Section: Introductionmentioning

confidence: 99%

Mental and somatic comorbidity of depression: a comprehensive cross-sectional analysis of 202 diagnosis groups using German nationwide ambulatory claims data

et al. 2020

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Background: Depression is frequently accompanied by other mental disorders and various somatic diseases; however, previous comorbidity studies often relied on self-reported data and have not simultaneously assessed the entire spectrum of mental and somatic diagnoses. The aim is to provide a complete picture of mental and somatic comorbidity of depression in routine outpatient care in a high income country with a relatively well equipped health care system. Methods: Using ambulatory claims data covering 87% of the German population (age 15+), we designed a cross-sectional study by identifying persons diagnosed with mild, moderate and severe depression in 2017 (N = 6.3 million) and a control group matched 4:1 on sex, 5-year age group and region of residence (N = 25.2 million). Stratified by severity, we calculated the prevalence of 202 diagnosis groups included in the ICD-10 in persons with depression as compared to matched controls using prevalence ratios (PR). Results: Nearly all mental disorders were at least twice as prevalent in persons with depression relative to controls, showing a dose-response relationship with depression severity. Irrespective of severity, the three most prevalent somatic comorbid diagnosis groups were 'other dorsopathies' (M50-M54), 'hypertensive diseases' (I10-I15) and 'metabolic disorders' (E70-E90), exhibiting PRs in moderate depression of 1.56, 1.23 and 1.33, respectively. Strong associations were revealed with diseases of the central nervous system (i.e. multiple sclerosis) and several neurological diseases, among them sleep disorders, migraine and epilepsy, most of them exhibiting at least 2-to 3-fold higher prevalences in depression relative to controls. Utilization of health care was higher among depression cases compared to controls.

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Section: Introductionmentioning

confidence: 99%

Mental and somatic comorbidity of depression: a comprehensive cross-sectional analysis of 202 diagnosis groups using German nationwide ambulatory claims data

et al. 2020

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“…Among the reported mechanistic links between depression and CVD [8], conditions characterized by insulin resistance have been pointed out as sharing pathogenic mechanisms with depression and diabetes [34]. Evaluation of the HOMA-IR provides a sensitive biomarker of CVD risk in the forecasting of coronary atherosclerosis, independent of established risk factors, including hsCRP [23], as also con rmed in a large series of Italian type 2 diabetics [35].…”

Section: Discussionmentioning

confidence: 93%

“…As estimated by the WHO, anxiety and depression are major CV risk factors and will become the second leading cause of disability in high income countries by 2030, carrying social and very high healthcare-related costs [7]. A number of meta-analyses have provided evidence of an association between clinical depression (or depressive symptoms) and CVD risk [8], the latter being raised by 30% in this condition [9].…”

Section: Introductionmentioning

confidence: 99%

Depression And Cardiovascular Risk – Association Among Beck Depression Inventory, PCSK9 Levels And Insulin Resistance

Macchi

Favero

Ceresa

et al. 2020

Preprint

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Background. Depression and cardiovascular disease (CVD) are among the most common causes of disability in high-income countries, depression being associated with a 30% increased risk of future CV events. The association of depression with CV outcomes is likely via behavioral mechanisms, e.g. sedentary lifestyle and obesity, this last being more frequently linked to the occurrence of depressive symptoms. Proprotein convertase subtilisin/kexin type 9 (PCSK9) has been related to a large number of CV risk factors, e.g. insulin resistance. Aim of this study was to investigate whether in a population of obese subjects, depression could affect PCSK9 levels and how these changes may mediate potentially associated pre-diabetic risk. Results. In 389 obese individuals, mainly women, the Beck Depression Inventory (BDI-II) was significantly associated with PCSK9 levels, i.e. for every unit increment in BDI-II score, PCSK9 rose by 1.85 ng/mL and with the homeostatic model assessment index of insulin resistance (HOMA-IR). Mediation analysis suggested that PCSK9 levels partially mediates by 11% the effect of BDI-II on HOMA-IR. Conclusions. This study proposes a possible mechanism linking depression and insulin resistance, a well-known CV risk factor, providing evidence on a role for PCSK9.

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“…HADS-M Anxiety: 0-lack of abnormalities (0-10), 1-abnormality present (11)(12)(13)(14)(15)(16)(17)(18)(19)(20)(21) HADS-M Depression: 0-lack of abnormalities (0-10), 1-abnormality present (11)(12)(13)(14)(15)(16)(17)(18)(19)(20)(21).…”

Section: Methodsmentioning

confidence: 99%

Anxiety and depression in patients with chronic cardiovascular disease—factors differentiating rural and urban subpopulations

Szlenk-Czyczerska

Guzek²,

Prusaczyk³

et al. 2019

Preprint

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Background. People suffering from cardiovascular diseases (CVD) increasingly experience depression and anxiety disorders. Therefore, it is essential to improve identification strategies and methods of coping for these conditions.Objectives. The aim of the study was to analyse selected variables differentiating rural from urban populations as well as identify potentially increased levels of depression and anxiety.Material and methods. The study was carried out in 193 CVD patients home-cared by a district nurse. Results. Women constituted the majority of respondents (71.7%, n = 81 City-C vs 65.8%, n = 50 Village-V). The median age of the C patients was 76 (range 17-101) vs. 72 (range 18-94) for the V patients. The correlation coefficients displayed significant differences in anxiety, number of cardiologist visits (p = 0.005) and interventions provided by a district nurse (p = 0.03). The rural population stood out in number of home visits, age, assessment of needs and QoL. In addition, a strong relationship between anxiety and age was noted in the rural population (1/OR=1.04; 95% CI: 0.91–0.99), the assessment of satisfied needs (1/OR=293.86; 95% CI: 0.00001–0.56), depression (OR=5.85; 95% CI: 1.58–25.66), QoL in physical (OR=1.56; 95% CI: 1.11–2.33), social (1/OR=1.53; 95% CI: 0.04–0.94) and environmental domains (OR=1.67; 95% CI: 1.06–3.00) as well as between depression and anxiety (OR=4.60; 95% CI: 1.45–16.28), QoL in physical (1/OR=1.39; 95% CI: 0.50–0.97) and psychological (OR=1.37; 95% CI: 1.01–1.93) domains.

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Depression and coronary heart disease: 2018 position paper of the ESC working group on coronary pathophysiology and microcirculation

Cited by 225 publications

References 244 publications

Mental and somatic comorbidity of depression: a comprehensive cross-sectional analysis of 202 diagnosis groups using German nationwide ambulatory claims data

Mental and somatic comorbidity of depression: a comprehensive cross-sectional analysis of 202 diagnosis groups using German nationwide ambulatory claims data

Depression And Cardiovascular Risk – Association Among Beck Depression Inventory, PCSK9 Levels And Insulin Resistance

Anxiety and depression in patients with chronic cardiovascular disease—factors differentiating rural and urban subpopulations

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