BioMed Research International

Volume 2013 (2013), Article ID 246035, 7 pages

http://dx.doi.org/10.1155/2013/246035

Research Article

Age-Related Differences in the Effect of Psychological Distress on Mortality: Type D Personality in Younger versus Older Patients with Cardiac Arrhythmias

Johan Denollet,¹ Fetene B. Tekle,² Pepijn H. van der Voort,³ Marco Alings,⁴ and Krista C. van den Broek1,5

¹Center of Research on Psychology in Somatic Diseases (CoRPS), Department of Medical and Clinical Psychology, Tilburg University, P.O. Box 90153, 5000 LE Tilburg, The Netherlands

²Department of Methodology and Statistics, Tilburg University, P.O. Box 90153, 5000 LE Tilburg, The Netherlands

³Department of Cardiology, Catharina Hospital, Eindhoven, The Netherlands

⁴Department of Cardiology, Amphia Hospital, Breda, The Netherlands

⁵GGz Breburg, Tilburg, The Netherlands

Received 24 April 2013; Accepted 19 August 2013

Academic Editor: David Maintz

Copyright © 2013 Johan Denollet et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract.

Background. Mixed findings in biobehavioral research on heart disease may partly be attributed to age-related differences in the prognostic value of psychological distress. This study sought to test the hypothesis that Type D (distressed) personality contributes to an increased mortality risk following implantable cardioverter defibrillator (ICD) treatment in younger patients but not in older patients. Methods. The Type D Scale (DS14) was used to assess general psychological distress in 455 younger (≤70 y, ) and 134 older (>70 y, ) ICD patients. End points were all-cause mortality and cardiac death after a median follow-up of 3.2 years. Results. Older patients had more advanced heart failure and a higher mortality rate (%) than younger patients (%), . Cardiac resynchronization therapy (CRT), but not Type D personality, was associated with increased mortality in older patients. Among younger patients, however, Type D personality was associated with an adjusted hazard ratio = 1.91 (95% CI 1.09–3.34) and 2.26 (95% CI 1.16–4.41) for all-cause and cardiac mortality; other predictors were increasing age, CRT, appropriate shocks, ACE-inhibitors, and smoking. Conclusion. Type D personality was independently associated with all-cause and cardiac mortality in younger ICD patients but not in older patients. Cardiovascular research needs to further explore age-related differences in psychosocial risk.

1. Introduction

Beyond the age of 70 years, the risk of progressive heart failure [1, 2] and mortality [2, 3] sharply increases in cardiac patients. Age-related biological changes, such as decreased cardiomyocyte renewal capacity and increased cardiac dysfunction, contribute to poor health in older cardiac patients [1]. There are also important age-related differences in the clinical profile and outcome of patients who are at risk for life-threatening cardiac arrhythmias [4–8]. Today, implantable cardioverter defibrillator (ICD) therapy is the first-line treatment for the prevention of sudden cardiac death in these patients [9]. When a significant arrhythmia is detected, the ICD restores a normal heart rhythm by providing antitachycardia pacing or, eventually, a shock. However, advanced heart failure [4–6] and comorbid conditions [4, 5, 7] are common in older patients and may attenuate the survival benefit of ICD treatment [4].

Psychological distress has been associated with a higher risk of ventricular arrhythmias and mortality in some [10–12] but not all [13, 14] studies of ICD patients, suggesting that other variables may moderate this association. For example, differences in the nature and timing of depression have also contributed to mixed findings on depression and heart disease [15]. To resolve the uncertainty about a causal link between mind and heart [16], we need to identify factors that contribute to mixed findings on psychological distress in cardiac patients. Critically, these mixed findings may partly be attributed to age-related differences in distress.

The influence of psychological distress on cardiovascular outcomes may be more potent in younger than in older patients [17–19]. Psychological distress is particularly pronounced in younger ICD patients [20, 21] and may induce changes in the autonomous nervous system that have been implicated in the onset of ventricular arrhythmia [22–26]. Type D (distressed) personality is a propensity to general distress (i.e., the combination of negative affectivity and social inhibition) that may also contribute to cardiovascular outcomes [27, 28], including poor health [29] and decreased survival [30, 31] in patients with an ICD. However, Type D was not associated with prognosis in patients with heart failure [32] and little is known about age-related differences in the effect of Type D among patients with cardiac arrhythmia.

The development of novel risk stratification strategies is needed to improve outcomes in patients with an ICD [9], and a scientific statement from the American Heart Association concluded that psychosocial factors such as Type D personality may be involved in clinical events following ICD treatment [33]. Previously, we reported that Type D and device shocks were associated with an increased mortality risk in a cohort study of 589 ICD patients [31]. Yet, cardiac disease is a complex condition, and a better understanding of the associations between distress and prognosis also involves subgroup analyses [34] that reveal at what ages or in what clinical subgroups such associations hold [19, 35]. Others have used 70 years as split-point to examine the outcome of ICD treatment in different age subgroups [7] and we showed that depression predicted poor prognosis in cardiac patients younger than 70 years but not in older patients [18]. Regarding clinical subgroups, little is known about the combined effect of shocks and psychological distress on the outcome of ICD treatment.

Therefore, we examined the age-dependent role of shocks and Type D personality and tested the hypothesis that Type D personality contributes to an increased mortality risk in younger ICD patients in particular. In addition, we explored whether the combination of shocks and Type D personality would involve an increase in risk among younger patients.

2. Methods

2.1. Patient Sample

This study reports on preplanned analysis of age-related differences in an observational study of psychosocial stress among 589 patients living with an ICD because of a high risk of life-threatening cardiac arrhythmia. Details of this study have been described elsewhere [31]. Patients all had a first ICD implanted in the Amphia Hospital, Breda, or Catharina Hospital, Eindhoven, The Netherlands, between May 2003 and February 2009. The age ranged from 18 to 80 years; patients with cognitive impairment (e.g., dementia) and psychiatric disorders other than affective disorder were excluded. The study was conducted in accordance with the Helsinki Declaration, and all patients provided written informed consent. The study was approved by the Medical Ethics Committees of both participating hospitals.

2.2. Type D Personality

In order to assess Type D personality, all patients completed the 14-item Type D Scale (DS14) [36] at the time of implantation [31]. Type D refers to the combination of the tendency to experience negative emotions (negative affectivity) and the tendency to inhibit self-expression in social interaction (social inhibition) that has been associated with an increased vulnerability for psychological distress and poor cardiovascular outcomes [27]. The 7-item negative affectivity and social inhibition subscales of the DS14 are internally consistent (Cronbach’s and 0.86) and stable over time [36]. Patients scoring above the standardized cut-off ≥10 on both subscales are classified as having a Type D personality.

2.3. Younger versus Older Age

To examine the age-related differences in clinical profile, survival, and prognostic markers, patients were stratified by age into younger and older age groups. In analogy with previous ICD research, patients aged ≤70 years were considered to be relatively younger compared to patients aged >70 years [7]. In addition, previous research on Type D personality [27] largely focused on relatively younger patients aged <70 years or <75 years, with the mean age ranging between 55 and 57 years. Hence, ≤70 year was also used as a cut-off in the present study to test the hypothesis that the tendency to experience psychological distress might primarily contribute to poor survival in younger rather than older patients [18, 19].

2.4. Endpoints

The first endpoint was all-cause death. Because some patients do not benefit from ICD therapy because of competing noncardiac death risks [9], we also examined the association of Type D with cardiac death as a more rigorous endpoint of cardiac prognosis. As discussed previously, the endpoints in this study were derived from the medical records, and the cause of death was discussed with the treating cardiologist or general practitioner [31].

2.5. Shocks and Other Statistical Covariates

Device shocks have been related to an increased mortality risk in patients with an ICD [4, 5] and were included in all multivariable analyses. Electrophysiologists judged the nature of shocks on the basis of device interrogation; ICD shocks were considered to be inappropriate if they were triggered by abnormal sensing or by nonventricular arrhythmias and to be appropriate if they were triggered by ventricular tachycardia or by ventricular fibrillation. Some patients were treated with the combination of an ICD with cardiac resynchronization therapy (CRT-D); because CRT-D further improves the clinical course of heart failure [37], we controlled for this treatment variable in multivariable models. Other statistical covariates included left ventricular ejection fraction (LVEF) ≤35%, primary versus secondary indication for ICD treatment, coronary artery disease (CAD), beta-blockers, ACE-inhibitors, diabetes mellitus, smoking, gender, and marital status (having a partner versus having no partner).

2.6. Statistical Analyses

Clinical characteristics of the sample stratified by age were examined with chi-square tests for categorical variables and -tests for independent samples for continuous variables. Multivariable Cox regression analyses were used to examine the hypothesis that Type D may play an independent prognostic role in younger ICD patients (≤70 years). Separate multivariable regression models were construed for both all-cause and cardiac-related death. A chi-square test was used to explore the combined effect of shocks and Type D personality in younger patients. All tests were two-tailed and a value < 0.05 was used to indicate statistical significance. All analyses were performed in PASW Statistics 17 for Windows.

3. Results

3.1. Clinical Characteristics of Younger versus Older Patients

The mean age of the ICD patients was 62.6 years; 455 patients were aged ≤70 years and 134 aged >70, with the first subgroup being on average 15 years younger than the second subgroup (59 versus 74 years). This stratification by age revealed a different clinical profile; that is, older patients were more likely to have advanced heart failure, as indicated by a higher prevalence of left ventricular dysfunction and CRT treatment, than younger patients (Table 1). After a median follow-up of 3.2 (range 0.8–6.5) years, there were 94 (16%) ICD patients who had died from all causes and 67 (11%) patients who had died from cardiac causes [31]. The rate of both all-cause death and cardiac death was approximately 2 times higher in older ICD patients compared with younger ICD patients (; Table 1). The mean age at the time of death was 77 years in older patients and 64 years in younger patients.

Table 1: Characteristics of study population, stratified by age ≤/> 70 years.

Characteristics
Age ≤ 70
Age > 70
P value

Demographic

    Age (years; mean ± SD)

0.0001

    No partner
11% (49)
22% (29)
0.001

    Male gender
81% (368)
81% (108)
0.94

Personality

    Type D personality
23% (105)
22% (29)
0.73

Mortality

    All-cause death
13% (60)
25% (34)
0.001

    Cardiac death
9% (42)
19% (25)
0.003

ICD treatment

    LVEF ≤ 35%
80% (364)
92% (123)
0.002

    CRT therapy
26% (120)
41% (55)
0.001

    Primary indication ICD
63% (289)
67% (90)
0.44

    Appropriate shocks FU
10% (47)
10% (14)
0.97

    Inappropriate shocks FU
4% (20)
6% (8)
0.45

Medical covariates

    Diagnosis of CAD
71% (325)
77% (103)
0.21

    Beta-blocker therapy
82% (375)
79% (106)
0.38

    ACE-inhibitor therapy
67% (306)
70% (94)
0.53

    Diabetes
18% (82)
22% (29)
0.35

    Smoking
20% (89)
13% (17)
0.07

CAD: coronary artery disease; CRT: cardiac resynchronization therapy; LVEF: left ventricular ejection fraction; SD: standard deviation.

3.2. Prognosis in Older versus Younger Patients

To examine the age-dependent importance of prognostic markers and to test the hypothesis that psychological distress contributes to the incidence of death in younger ICD patients, we analyzed the predictors of mortality separately in older and younger patients. Among older patients (>70 years), Type D personality was not associated with mortality (Figure 1(a)). CRT was the only independent predictor of all-cause mortality in older patients (HR = 2.51, 95% CI 1.05–5.97, ); there was also a trend for diabetes (HR = 2.14, 95% CI 0.95–4.81, ) but neither for appropriate shocks () nor other covariates ().

(a)

(b)

Figure 1: Association of Type D personality with all-cause mortality in older (a) and younger (b) ICD patients.

Among younger ICD patients (≤70 years), Type D personality was associated with an increased risk of death from all causes (Figure 1(b)). Type D patients had an adjusted HR = 1.91 (95% CI 1.09–3.34) for all-cause mortality; other significant predictors were increasing age, CRT, appropriate shocks, (lack of) ACE-inhibitors, and smoking (Table 2).

Table 2: Independent predictors of death from all causes in ICD patients aged ≤70.*

HR (95% CI)
P value

Predictor variables

    Type D personality
1.91 (1.09–3.34)
0.024

    Age (years)
1.06 (1.02–1.10)
0.008

    CRT
1.78 (0.99–3.27)
0.056

    Appropriate shocks
3.50 (1.79–6.82)
0.0001

    ACE-inhibitors
0.51 (0.30–0.87)
0.014

    Smoking
1.85 (1.01–3.40)
0.049

Values were calculated with the use of multivariable Cox regression analysis, including the nonsignificant covariates (gender, inappropriate shocks, left ventricular ejection fraction, secondary indication, coronary artery disease, beta-blockers, diabetes, and partner status).

CI: confidence interval; CRT: cardiac resynchronization therapy; HR: hazard ratio.

3.3. Type D Personality and Cardiac Death in Younger Patients

Given the cardiovascular effects of distress [10, 11, 25, 26], cardiac death was included as a second endpoint in this study. Type D personality was associated with an increased risk of cardiac death in younger ICD patients (Figure 2). In a multivariable Cox regression model, Type D personality was retained as an independent predictor of cardiac death in younger ICD patients (HR = 2.26, 95% CI 1.16–4.41, ), after adjustment for CRT (HR = 3.08, 95% CI 1.53–6.22, ) and appropriate shocks (HR = 3.95, 95% CI 1.75–8.91, ). There was also a trend for increasing age () and smoking () in these patients.

Figure 2: Cardiac survival of younger ICD patients (), stratified by Type D personality. Cardiac death () coded as 1. Multivariable analyses, adjusted for cardiac covariates and noncardiac covariates.

Finally, cardiac death was examined in 4 groups of younger patients, stratified by Type D and shocks (Figure 3). Patients with Type D or shocks only had a similar risk of cardiac death. Risk of cardiac death was highest in Type D patients who received a shock (36%), followed by patients with one risk marker only (12%); patients with no marker had the lowest risk.

Figure 3: Percentage of younger ICD patients who died of cardiac causes (), stratified by appropriate shocks and Type D personality. NS = not significant; other groups are significantly different from each other. Shocks (−) = no appropriate shocks during follow-up; Shocks (+) = one or more appropriate shocks during follow-up; Type D (−) = no Type D personality; Type D (+) = Type D personality. Number of patients who died of cardiac causes and total number of patients within each risk subgroup are presented on top of each bar.

4. Discussion

ICD shocks have been related to an increased mortality risk [4, 5], but a scientific statement from the American Heart Association also highlighted the need to improve the identification and care of psychosocial factors, such as Type D personality, in patients with an ICD [33]. We previously reported that Type D may have detrimental consequences for the outcome of ICD treatment in this cohort of patients with life-threatening cardiac arrhythmias [31] and that Type D personality may be associated with ventricular arrhythmias in ICD patients [38]. Previous research in another cohort of patients with an ICD also showed that Type D was significantly associated with an increased risk of emotional distress [29] and mortality [30].

However, patients who are older already have an increased mortality risk due to biological aging of the cardiovascular and other organic systems [1–3], which limits the incremental prognostic value of psychosocial distress. Accordingly, the present analyses showed that Type D personality was associated with mortality in younger but not older ICD patients. Age-related differences in prognosis may result from different mechanisms of disease. Among older patients, CRT and diabetes, but not shocks or Type D, were associated with mortality. Evidence suggests that age-related biological changes may contribute to adverse clinical outcomes [1, 6]. Cardiac dysfunction is particularly pronounced in older patients due to decreased cardiomyocyte renewal capacity and increased apoptosis [1]. In addition, progressive heart failure is a common cause of death in ICD patients aged >70 years [4–6]. In this ICD cohort, older patients were also more likely to have a CRT-D and left ventricular dysfunction than younger patients, which may partly explain their increased mortality risk.

In our ICD cohort, shocks and Type D personality were associated with all-cause and cardiac death in younger patients. Although younger ICD patients had a better survival rate than older patients, a substantial number of younger patients had a poor prognosis. The mean age at the time of death was 64 years in the 60 younger patients who died (and 77 years in the 34 older nonsurvivors), which highlights the high-risk profile of this subgroup. Chronic psychological distress may explain why some younger patients were at an increased risk of premature death. This age-dependent effect of distress may reflect selective survival [17]; that is, Type D patients who die at an earlier age may be more vulnerable to stress-related cardiac dysfunction and arrhythmia as compared to Type D patients who survive to old age.

The adverse effects of Type D in younger patients might be explained by the consequences of chronic psychosocial distress [27]. These may include direct biological consequences. Among other things, Type D personality has been associated with an increased prevalence of ventricular arrhythmia in healthy individuals [39] and in patients with an ICD [38] and with decreased heart rate recovery after exercise in patients with chronic heart failure [40]. There also may be indirect behavioral consequences that have an adverse effect on health. For example, Type D has been related to poor adherence to continuous positive airway pressure therapy in patients with obstructive sleep apnea [41], which, in turn, may cause disturbed cardiac repolarization that can induce cardiac arrhythmias in these patients [42]. These explanations are still hypothetical, but further research is warranted to examine whether these pathways of disease associated with Type D personality are age-dependent.

This study has a number of limitations [31]. First, we did not have information on changes in disease severity that may have occurred during follow-up. Second, 35% of patients with CRT had a poor LVEF compared to only 2% of patients without CRT (). This overlap in clinical covariates may explain why CRT, but not LVEF, was an independent predictor of mortality in the multivariable regression model. Third, other markers of disease severity or somatic comorbidity that were not included may also have affected survival. Fourth, more research is needed to examine clinical implications. Initial evidence suggests that age might moderate the effect of behavioral intervention: two trials found that younger ICD patients are more likely to improve in psychological distress than older patients [43, 44]. This may also apply to modification of emotion regulation strategies in Type D patients [45]. Strengths of this study are the large sample of patients who are at high risk of arrhythmia, the prospective design of the study, and the standardized assessment of Type D personality.

Using Type D personality and ICD treatment of life-threatening arrhythmias as a paradigm, the present study highlights the importance of age-dependent differences in psychosocial risk. Other reports also showed that the link between heart disease and hostility or depression was more pronounced in young individuals [17, 18]. Consistent with these reports, we observed that younger ICD patients may have an increased mortality risk due to psychosocial distress. In this age group, the risk of cardiac death was the highest in Type D patients who received a shock. Hence, these findings indicate that clinical subgroup analyses may further improve our understanding of the associations between psychosocial distress and prognosis [34, 35]. However, the prognostic value of distress in older patients is limited due to cardiovascular and biological aging. In our study, cardiac resynchronization therapy, ventricular systolic dysfunction, and diabetes were more common and predicted mortality in older ICD patients. In conclusion, health professionals should be aware of age-related individual differences in clinical risk, and research needs to further examine the extent to which the adverse effect of psychosocial factors on the incidence and progression of heart disease is dependent on age.

Conflict of Interests

No conflict of interests exists for any of the authors.

Acknowledgment

Part of this work was supported by the Netherlands Organization for Scientific Research (NWO), The Hague, The Netherlands, with a VICI Grant (45304004) to Dr. Johan Denollet. There are no relationships with industry that need to be disclosed for Dr. Johan Denollet. Dr. Pepijn H. van der Voort has received speaker's fee from Medtronic. Dr. Marco Alings reports that the Department of Clinical Electrophysiology of the Amphia Hospital has received unrestricted educational grants from Boston Scientific The Netherlands, Medtronic The Netherlands, and St. Jude Medical Netherlands. Dr. Marco Alings has received consultation and speaker’s fees from Bayer, Boehringer Ingelheim, MSD, and Sanofi-Aventis. Dr. Krista C. van den Broek has received speaker's fee from the Sorin Group.

References

H. Shih, B. Lee, R. J. Lee, and A. J. Boyle, “The aging heart and post-infarction left ventricular remodeling,” Journal of the American College of Cardiology, vol. 57, no. 1, pp. 9–17, 2011.

M. K. Chung, M. S. Bosner, J. P. McKenzie, J. Shen, and M. W. Rich, “Prognosis of patients ≥70 years of age with non-Q-wave acute myocardial infarction compared with younger patients with similar infarcts and with patients ≥70 years of age with Q-wave acute myocardial infarction,” American Journal of Cardiology, vol. 75, no. 1, pp. 18–22, 1995.

S. V. Arnold, K. P. Alexander, F. A. Masoudi, P. M. Ho, L. Xiao, and J. A. Spertus, “The effect of age on functional and mortality outcomes after acute myocardial infarction,” Journal of the American Geriatrics Society, vol. 57, no. 2, pp. 209–217, 2009.

P. Santangeli, L. di Biase, A. dello Russo et al., “Meta-analysis: age and effectiveness of prophylactic implantable cardioverter-defibrillators,” Annals of Internal Medicine, vol. 153, no. 9, pp. 592–599, 2010.

P. Dorian, S. H. Hohnloser, K. E. Thorpe et al., “Mechanisms underlying the lack of effect of implantable cardioverter-defibrillator therapy on mortality in high-risk patients with recent myocardial infarction: insights from the Defibrillation in Acute Myocardial Infarction Trial (DINAMIT),” Circulation, vol. 122, no. 25, pp. 2645–2652, 2010.

J. S. Healey, A. P. Hallstrom, K.-H. Kuck et al., “Role of the implantable defibrillator among elderly patients with a history of life-threatening ventricular arrhythmias,” European Heart Journal, vol. 28, no. 14, pp. 1746–1749, 2007.

A. E. Epstein, G. N. Kay, V. J. Plumb et al., “Implantable cardioverter-defibrillator prescription in the elderly,” Heart Rhythm, vol. 6, no. 8, pp. 1136–1143, 2009.

P. S. Chan, B. K. Nallamothu, J. A. Spertus et al., “Impact of age and medical comorbidity on the effectiveness of implantable cardioverter-defibrillators for primary prevention,” Circulation: Cardiovascular Quality and Outcomes, vol. 2, no. 1, pp. 16–24, 2009.

A. E. Buxton, “Risk stratification for sudden death in patients with coronary artery disease,” Heart Rhythm, vol. 6, no. 6, pp. 836–847, 2009.

M. M. Burg, R. Lampert, T. Joska, W. Batsford, and D. Jain, “Psychological traits and emotion-triggering of ICD shock-terminated arrhythmias,” Psychosomatic Medicine, vol. 66, no. 6, pp. 898–902, 2004.

W. Whang, C. M. Albert, S. F. Sears Jr. et al., “Depression as a predictor for appropriate shocks among patients with implantable cardioverter-defibrillators: results from the Triggers of Ventricular Arrhythmias (TOVA) study,” Journal of the American College of Cardiology, vol. 45, no. 7, pp. 1090–1095, 2005.

K. Piotrowicz, K. Noyes, J. M. Lyness et al., “Physical functioning and mental well-being in association with health outcome in patients enrolled in the Multicenter Automatic Defibrillator Implantation Trial II,” European Heart Journal, vol. 28, no. 5, pp. 601–607, 2007.

S. Tzeis, C. Kolb, J. Baumert et al., “Effect of depression on mortality in implantable cardioverter defibrillator recipients-findings from the prospective LICAD study,” Pacing and Clinical Electrophysiology, vol. 34, no. 8, pp. 991–997, 2011.

M. K. Turagam, P. Velagapudi, A. Szabo, A. Visotcky, and A. G. Kocheril, “Survivors of sudden cardiac death with history of depression are not at significantly greater risk of recurrent arrhythmias and death,” International Journal of Cardiology, vol. 157, no. 3, pp. 445–446, 2012.

M. Zuidersma, B. D. Thombs, and P. de Jonge, “Onset and recurrence of depression as predictors of cardiovascular prognosis in depressed acute coronary syndrome patients: a systematic review,” Psychotherapy and Psychosomatics, vol. 80, no. 4, pp. 227–237, 2011.

J. Ormel and P. de Jonge, “Unipolar depression and the progression of coronary artery disease: toward an integrative model,” Psychotherapy and Psychosomatics, vol. 80, no. 5, pp. 264–274, 2011.

S. H. Boyle, R. B. Williams, D. B. Mark, B. H. Brummett, I. C. Siegler, and J. C. Barefoot, “Hostility, age, and mortality in a sample of cardiac patients,” American Journal of Cardiology, vol. 96, no. 1, pp. 64–66, 2005.

J. Denollet, K. E. Freedland, R. M. Carney, P. de Jonge, and A. M. Roest, “Cognitive-affective symptoms of depression after myocardial infarction: different prognostic importance across age groups,” Psychosomatic Medicine, vol. 75, no. 7, pp. 701–708, 2013.

J. Denollet, “Interpersonal sensitivity, social inhibition, and Type D personality: how and when are they associated with health? Comment on Marin & Miller (2013),” Psychological Bulletin, vol. 139, no. 5, pp. 991–997, 2013.

E. Friedmann, S. A. Thomas, P. Inguito et al., “Quality of life and psychological status of patients with implantable cardioverter defibrillators,” Journal of Interventional Cardiac Electrophysiology, vol. 17, no. 1, pp. 65–72, 2006.

L. D. Vazquez, E. A. Kuhl, J. B. Shea et al., “Age-specific differences in women with implantable cardioverter defibrillators: an international multi center study,” Pacing and Clinical Electrophysiology, vol. 31, no. 12, pp. 1528–1534, 2008.

G. Piccirillo, M. Cacciafesta, M. Lionetti et al., “Influence of age, the autonomic nervous system and anxiety on QT-interval variability,” Clinical Science, vol. 101, no. 4, pp. 429–438, 2001.

G. Piccirillo, D. Magrì, M. Ogawa et al., “Autonomic nervous system activity measured directly and QT interval variability in normal and pacing-induced tachycardia heart failure dogs,” Journal of the American College of Cardiology, vol. 54, no. 9, pp. 840–850, 2009.

I. Battipaglia, L. Barone, L. Mariani et al., “Relationship between cardiac autonomic function and sustained ventricular tachyarrhythmias in patients with an implantable cardioverter defibrillators,” Europace, vol. 12, no. 12, pp. 1725–1731, 2010.

J. L. Francis, A. A. Weinstein, D. S. Krantz et al., “Association between symptoms of depression and anxiety with heart rate variability in patients with implantable cardioverter defibrillators,” Psychosomatic Medicine, vol. 71, no. 8, pp. 821–827, 2009.

I. S. Wittstein, D. R. Thiemann, J. A. C. Lima et al., “Neurohumoral features of myocardial stunning due to sudden emotional stress,” The New England Journal of Medicine, vol. 352, no. 6, pp. 539–548, 2005.

J. Denollet, A. A. Schiffer, and V. Spek, “A general propensity to psychological distress affects cardiovascular outcomes: evidence from research on the Type D (distressed) personality profile,” Circulation: Cardiovascular Quality and Outcomes, vol. 3, no. 5, pp. 546–557, 2010.

M. E. Beutel, J. Wiltink, Y. Till et al., “Type D personality as a cardiovascular risk marker in the general population: results from the Gutenberg health study,” Psychotherapy and Psychosomatics, vol. 81, no. 2, pp. 108–117, 2012.

S. S. Pedersen, F. B. Tekle, M. T. Hoogwegt, L. Jordaens, and D. A. Theuns, “Shock and patient preimplantation Type D personality are associated with poor health status in patients with implantable cardioverter-defibrillator,” Circulation: Cardiovascular Quality and Outcomes, vol. 5, no. 3, pp. 373–380, 2012.

S. S. Pedersen, K. C. van den Broek, R. A. M. Erdman, L. Jordaens, and D. A. M. J. Theuns, “Pre-implantation implantable cardioverter defibrillator concerns and Type D personality increase the risk of mortality in patients with an implantable cardioverter defibrillator,” Europace, vol. 12, no. 10, pp. 1446–1452, 2010.

J. Denollet, F. B. Tekle, S. S. Pedersen, P. H. van der Voort, M. Alings, and K. C. van den Broek, “Prognostic importance of distressed (Type D) personality and shocks in patients with an implantable cardioverter defibrillator,” International Journal of Cardiology, vol. 167, no. 6, pp. 2705–2709, 2013.

G. Grande, M. Romppel, and J. Barth, “Associationbetween Type D personality and prognosis in patients with cardiovascular diseases: a systematic review and meta-analysis,” Annals of Behavioral Medicine, vol. 43, no. 3, pp. 299–310, 2012.

S. B. Dunbar, C. M. Dougherty, S. F. Sears, et al., “Educational and psychological interventions to improve outcomes for recipients of implantable cardioverter defibrillators and their families: a scientific statement from the American Heart Association,” Circulation, vol. 126, no. 17, pp. 2146–2172, 2012.

J. Wittes, “On looking at subgroups,” Circulation, vol. 119, no. 7, pp. 912–915, 2009.

W. T. Boyce, M. B. Sokolowski, and G. E. Robinson, “Toward a new biology of social adversity,” Proceedings of the National Academy of Sciences of the United States of America, vol. 109, supplement 2, pp. 17143–17148, 2012.

J. Denollet, “DS14: standard assessment of negative affectivity, social inhibition, and Type D personality,” Psychosomatic Medicine, vol. 67, no. 1, pp. 89–97, 2005.

A. J. Moss, W. J. Hall, D. S. Cannom et al., “Cardiac-resynchronization therapy for the prevention of heart-failure events,” The New England Journal of Medicine, vol. 361, no. 14, pp. 1329–1338, 2009.

K. C. van den Broek, I. Nyklíček, P. H. van der Voort, M. Alings, A. Meijer, and J. Denollet, “Risk of ventricular arrhythmia after implantable defibrillator treatment in anxious Type D patients,” Journal of the American College of Cardiology, vol. 54, no. 6, pp. 531–537, 2009.

G. Einvik, T. Dammen, S. K. Namtvedt, et al., “Type D personality is associated with increased prevalence of ventricular arrhythmias in community-residing persons without coronary heart disease,” European Journal of Preventive Cardiology. In press

R. von Känel, J. Barth, S. Kohls et al., “Heart rate recovery after exercise in chronic heart failure: role of vital exhaustion and Type D personality,” Journal of Cardiology, vol. 53, no. 2, pp. 248–256, 2009.

A. Broström, A. Strömberg, J. Mårtensson, M. Ulander, L. Harder, and E. Svanborg, “Association of Type D personality to perceived side effects and adherence in CPAP-treated patients with OSAS,” Journal of Sleep Research, vol. 16, no. 4, pp. 439–447, 2007.

V. A. Rossi, A. C. Stoewhas, G. Camen et al., “The effects of continuous positive airway pressure therapy withdrawal on cardiac repolarization: data from a randomized controlled trial,” European Heart Journal, vol. 33, no. 17, pp. 2206–2213, 2012.

G. A. Hamilton and D. L. Carroll, “The effects of age on quality of life in implantable cardioverter defibrillator recipients,” Journal of Clinical Nursing, vol. 13, no. 2, pp. 194–200, 2004.

A. Crössmann, S. M. Schulz, V. Kühlkamp et al., “A randomized controlled trial of secondary prevention of anxiety and distress in a German sample of patients with an implantable cardioverter defibrillator,” Psychosomatic Medicine, vol. 72, no. 5, pp. 434–441, 2010.

J. S. Ogrodniczuk, C. Sierra Hernandez, I. Sochting, A. S. Joyce, and W. E. Piper, “Type D personality and alexithymia among psychiatric outpatients,” Psychotherapy and Psychosomatics, vol. 81, no. 2, pp. 118–120, 2012.