Mood and transient cardiac dysfunction in everyday life.

Emotion in daily life may be associated with transient myocardial ischemia, ventricular tachycardia and impaired autonomic function in cardiac patients, but the precise temporal sequence is unclear. Eighty-eight patients with suspected coronary artery disease underwent 24-h electrocardiographic monitoring, and affect was measured with the Day Reconstruction Method. Thirteen patients (15%) experienced one or more episodes of ST depression or ventricular tachycardia, nine of whom provided concurrent mood data. Mood and heart rate variability were analyzed for the 15 min before, during, and 15 min after each ST depression/ventricular tachycardia episode, and were compared with control periods not associated with cardiac dysfunction. Patients reported more negative mood in the 15 min preceding cardiac dysfunction compared with control periods (P = 0.02). Heart rate increased in the 5 min before cardiac dysfunction (P = 0.005), whereas low frequency heart rate variability was reduced at onset but not before cardiac dysfunction (P = 0.007). There were not changes in high frequency heart rate variability. This small study indicates that emotional state may contribute to vulnerability of cardiac dysfunction in everyday life.

Introduction

There is growing evidence that emotional factors are associated with cardiovascular health. Mood states have been related to the long term etiology of coronary heart disease (Nicholson et al. 2006) and may act as acute triggers of cardiovascular events (Bhattacharyya and Steptoe 2007; Strike and Steptoe 2005). Emotional states in everyday life may also contribute to episodes of cardiac dysfunction, including transient myocardial ischemia and ventricular tachycardia, in patients with established coronary artery disease. This association has been studied by coupling Holter monitoring with self-completed diaries in which patients rate their moods and activities (Culic et al. 2004; Gabbay et al. 1996; Krantz et al. 1996). For example, Gullette et al. (1997) found that the risk of silent transient myocardial ischemia was increased markedly in the hour following diary reports of negative emotions such as tension, sadness and frustration compared with control periods. Cardiac autonomic dysregulation may contribute to these responses, since increases in heart rate and reductions in high frequency and low frequency heart rate variability have been described in the minutes before onset of ischemia (Kop et al. 2001). It has been argued that there is a direct association between mental activity and vagal withdrawal during transient ischemia (Tuininga et al. 1995).

However, investigating the temporal sequence of mood and cardiac dysfunction presents particular methodological challenges. Diary entries may not coincide with episodes of transient myocardial ischemia or ventricular tachycardia, and compliance with diaries can be poor (Shiffman et al. 2008). In this study, we investigated mood over the monitoring period using the recently developed Day Reconstruction Method (Kahneman et al. 2004). This retrospective method for characterizing daily life experience combines features of time-budget measurement and experience sampling, and involves recall of the previous day as a continuous sequence of episodes, like a movie. Each episode is characterized in terms of onset and duration, location, social interaction, and activity. Participants also rate each episode on a series of affect scales. Although the Day Reconstruction Method involves recall, it is designed to increase the accuracy of emotional recollection by involving retrieval of the specific features of each episode. It has been used in a number of studies, including investigations of well-being, personality, and pain (Krueger and Stone 2008; White and Dolan 2009). We hypothesized that episodes of transient myocardial ischemia and ventricular tachycardia would be preceded by negative mood states in patients with suspected coronary artery disease, and that they would be accompanied by alterations in cardiac autonomic activity. We also assessed whether the magnitude of cardiac autonomic changes during episodes of cardiac dysfunction were associated with prevailing levels of positive and negative mood.

Methods

Patients

Participants were 88 patients recruited from Rapid Access Chest Pain clinics in three London hospitals. They had been referred by general practitioners or hospital physicians because of chest pain, and were regarded as probable coronary artery disease cases on the basis of symptomatology plus positive exercise tests or positive myocardial perfusion scans. They participated in the study prior to coronary angiography. Patients were excluded if they were prescribed antidepressant medication, could not speak English, suffered from significant non cardiac (cancer, renal, pulmonary or neurological) disease, or other cardiac disorders (heart failure, valvular disease, major arrhythmia). One hundred and forty-four patients were eligible to take part, of whom 56 refused. Patients who declined were significantly older (mean 64.9, SD 10.2 years) than those who took part (mean 61.1, SD 9.8 years, P = 0.032), but did not differ in gender distribution. The study was approved by the medical research ethics committees of the participating hospitals, and all patients provided signed consent.

Procedure

Participants attended the research laboratory on the morning of day 1 between 9:00 and 12:00 h. They were equipped with a 24 h digital Holter monitor (Lifecard CF, Del Mar Reynolds, Hertford, UK), as described previously (Bhattacharyya et al. 2008). The patient returned to the laboratory at the same time on the next day (day 2), at which time the Day Reconstruction Method was completed through interview with one of the investigators. Patients continued with their usual medication throughout the study.

Electrocardiographic assessment

The electrocardiographic records were analyzed by Hertford Medical (Hertford, UK) for episodes of ST segment depression and ventricular tachycardia. ST depression was defined as horizontal or downsloping ST depression > 1 mm or 1.5 mm upsloping below the isoelectric baseline, measured at 0.08 s after J point and persisting for at least 60 s. Ventricular tachycardia was defined as three or more consecutive ventricular beats ≥ 120 beats per minutes.

The electrocardiogram was recorded for 22–26 h in three channels with a six electrode array, and was digitized at 125 Hz. Heart rate variability was assessed in the frequency domain using the HRV Tools 1.72 (Del Mar Reynolds). The 24 h sequence was analyzed in 30 min segments, each composed of up to six 5-min periods. Five minute periods with valid data were averaged to derive each 30 min segment. The following variables were computed: Total power (ms2), very low frequency power between the limits 0.003 and 0.04 Hz (ms2), low frequency power in the range 0.04–0.15 Hz (ms2), and high frequency power in the range 0.15–0.40 Hz (ms2). High frequency power is thought to be an indicator of parasympathetic tone, whereas low frequency power reflects the balance between sympathetic and vagal tone (Task Force 1996). We normalized low and high frequency power, defined as the relative power of each component in proportion to total power—very low frequency power, to account for variations in absolute power between participants (Task Force 1996). Heart rate was also analyzed.

Day reconstruction method assessment

Mood, social situations and activities over the study period were assessed using the Day Reconstruction Method, as described by Kahneman et al. (2004). Patients were asked to recall the 24 h monitoring period as a continuous series of episodes. They provided information about the time of onset and the duration of each episode, its physical location, social situation and activity. The minimum episode duration was 15 min, and episodes were timed to the nearest 5 min. After the complete 24 h had been reconstructed, patients rated their feelings during each episode on 7-point mood scales from 0 = not at all to 6 = very much. An aggregate summary mood measure was generated by averaging ratings of angry/hostile, depressed, and worried/anxious mood ratings and subtracting them from ratings of happiness. Higher scores indicate more positive mood. The Day Reconstruction Method appears to have good reliability (Krueger and Schkade 2008), and the measures of mood show good agreement with ecological momentary assessments (Dockray et al. in press).

Other measures

Prior history of coronary heart disease was obtained from clinical notes. Medication, socio-demographic, psychological and behavioral information was collected at interview. Medications were grouped into the following major categories: beta-blockers, statins, aspirin, angiotensin converting enzyme inhibitors, and psychotropic medication (antidepressants and anxiolytics). Anxiety was measured using the anxiety subscale from the Hospital Anxiety and Depression scale (Zigmond and Snaith 1983), and depressed mood with the Beck Depression Inventory (Beck et al. 1988).

Mood and cardiovascular correlates of ST depression/ventricular tachycardia

Nine patients experienced one or more episodes of ST depression and four experienced ventricular tachycardia (one had both ST depression and ventricular tachycardia). Investigation of the mood and cardiovascular responses surrounding each ST depression/ventricular tachycardia episode was carried out by identifying the minute of onset and offset of each episode. The primary mood analyses were conducted on the summary mood measure, but data for individual moods were also analyzed. Five minute segments of Day Reconstruction Method mood and heart rate variability measures were then computed for the three 5 min segments preceding onset (−15, −10 and −5), the onset segment, the segment beginning at offset of the cardiac dysfunction (+5), and the two subsequent 5 min segments (+10, +15). This procedure made it possible to identify acute changes leading up to and following each episode of cardiac dysfunction. These measures were compared with control periods involving no cardiac dysfunction. The control periods were the corresponding time points for the hour before and the hour after the ST depression/ventricular tachycardia episode; for example, if the episode of ST depression/ventricular tachycardia began at 10:05 h and ended at 10:17 h, we averaged control data centered on 9:05–9:17 h and 11:05–11:17 h. When patients had more than one episode of ST depression/ventricular tachycardia, results were averaged.

Statistical analysis

Patients with and without ST depression/ventricular tachycardia period were compared with analysis of variance for continuous and χ2 analyses for nonparametric measures. Some values were missing, so the percentages presented are adjusted accordingly, and denominators are included in the description of results. The average control mood and heart rate variability were compared with the ST depression/ventricular tachycardia period using repeated measures analysis of variance, with period (ischemia or control) and segment (the 7 within-period segments) as within-person factors. The Greenhouse Geisser correction was applied when assumptions of sphericity were violated. Post hoc tests were carried out using Tukey’s least significant difference test. Additional analyses involved the use of beta-blockers and psychotropic medication as between-person factors. The relationship between prior mood and cardiac responses during episodes of cardiac dysfunction was assessed using product-moment correlations.

Results

Three patients had a single episode of ST depression, two patients had two episodes, and four patients had three episodes. These episodes lasted from 1 to 17 min, and occurred at a range of times of day and night, with a high proportion on the morning of day 2 (13/19 episodes). The ventricular tachycardia episodes were mostly short, although one lasted more than 10 min. These episodes of cardiac dysregulation were predominantly silent. Analyses of heart rate variability were carried out with all participants. The Day Reconstruction Method analyses were only possible with 9 of the 13 patients (6 ST depression/3 ventricular tachycardia) because Day Reconstruction Method data were lost for one patient, and the episodes of cardiac dysregulation occurred during sleep for the remaining three.

The group of patients who experienced ST depression/ventricular tachycardia included 8 men and 5 women, with an average age of 64.3 ± 9.4 years. The demographic, clinical and psychological characteristics of patients with and without ST depression/ventricular tachycardia are summarized in Table 1. There were no differences between the patients who showed cardiac dysregulation and the remainder in age, gender or ethnic distribution, educational attainment, marital status, body mass index, diabetes, hypertension, or in the use of statins, and aspirin. Although not significant, it is notable that there were fewer smokers in the ST depression/ventricular tachycardia group (7.7 vs. 26.7%), and also fewer patients taking angiotensin converting enzyme inhibitors (15.4 vs. 38.8%). Additionally, the patients showing ST depression/ventricular tachycardia were less likely to be taking beta-blocker medication than the remainder (38.5 vs. 72.0%, P = 0.03), and were more likely to be taking psychotropic medication (23.1 vs. 4.0%, P = 0.039). Anxiety averaged 6.55 ± 3.7 and depression 10.2 ± 7.1; these values did not differ between patients with and without ST depression/ventricular tachycardia. Nor was there any difference in the proportion of patients with definite coronary artery disease as detected on angiography, though it appeared that slightly fewer patients who displayed cardiac dysregulation during the study period had definite coronary artery disease (46.2 vs. 66.7%). The characteristics of the nine patients in whom acute mood responses were analyzed were the same as those of all 13 with ST depression/ventricular tachycardia.

Table 1

Characteristics of patients with ST depression/Ventricular tachycardia Means (standard deviation) and N/Denominator (percentage)

	Normal ECG	ST depression/ventricular tachycardia	Differences (P)
Gender (men)	52/75 (69.3%)	8/13 (61.5%)	0.75
Age (years) (n = 88)	61.20 (9.7)	63.85 (8.8)	0.36
Ethnicity (white)	55/75 (73.3%)	8/13 (61.5%)	0.51
Education (secondary)	39/75 (52.0%)	8/13 (61.5%)	0.56
Marital status (married)	45/75 (60.0%)	8/13 (61.5%)	1.00
Current smoker	20/75 (26.7%)	1/13 (7.7%)	0.18
Body mass index (kg/m2) (n = 87)	28.23 (5.7)	26.35 (3.6)	0.12
Diabetes	11/74 (14.9%)	3/11 (27.3%)	0.38
Hypertension	41/75 (54.7%)	6/13 (46.2%)	0.76
Beta-blocker medication	54/75 (72.0%)	5/13 (38.5%)	0.026
Statin medication	63/75 (84.0%)	9/13 (69.2%)	0.24
Aspirin medication	65/74 (87.8%)	12/13 (92.3%)	0.99
Angiotensin converting enzyme inhibitor medication	26/67 (38.8%)	2/13 (15.4%)	0.13
Psychotropic medication	3/75 (4.0%)	3/13 (23.1%)	0.039
Anxiety score (n = 88)	6.41 (3.8)	7.31 (3.4)	0.43
Depression score (n = 88)	10.16 (7.5)	10.42 (4.9)	0.91
Definite coronary artery disease	50/75 (66.7%)	6/13 (46.2%)	0.21

Patients reported an average of 17.3 episodes over the day using the Day Reconstruction Method, with a range of 13–20. The average duration of episodes was 60.2 min (range 43.6–88.9 across individuals). These findings did not differ between patients with and without ST depression/ventricular tachycardia.

Mood and cardiac dysfunction

The analysis of aggregated mood showed a significant period by segment interaction, F (6, 48) = 8.68, P = 0.008, ή2 = 0.52, illustrated in Fig. 1. Separate analyses of the ST depression/ventricular tachycardia periods were carried out to determine which in period changes over the 5 min episodes occurred. These confirmed significant changes over segments of the cardiac dysfunction, F (6, 48) = 5.47, P = 0.048, but not control periods, F (6, 48) = 1.32, P = 0.27). Mood was more negative in the 15 min preceding cardiac dysfunction than in control periods; following onset of cardiac dysfunction, mood became more positive (P < 0.05). In analyses of the separate mood ratings, significant effects were present for happiness, F (6, 48) = 6.24, P = 0.037 ή2 = 0.044, and worry, F (6, 48) = 4.44, P = 0.006, ή2 = 0.31, that mirrored the aggregate responses, but not for depressed mood, anger or tiredness. Since the sample size is small, Table 2 details the medians and interquartile ranges for these data.

Fig. 1

Mean levels of overall mood (upper panel), heart rate (middle panel) and low frequency heart rate variability (lower panel) in the period surrounding episodes of ST depression/ventricular tachycardia (solid lines—diamond) or control periods (dashed line—squares). Averages for the three 5 min periods before each episode (−15, −10, −5), the 5 min from the start of the episode (Start), and the three 5 min periods starting at the end of each episode (5, 10, 15) are plotted

Table 2

Mean, standard deviation, median and interquartile ranges for mood, heart rate, and low frequency heart rate variability

	ST Depression/ventricular tachycardia period				Control period
	Mean	SD	Median	Interquartile range	Mean	SD	Median	Interquartile range
Overall mood
−15 min	1.86	3.47	1.78	4.17	2.47	2.64	3.00	3.85
−10 min	1.83	3.56	1.78	4.17	2.50	2.65	3.11	3.85
−5 min	1.73	3.54	1.77	4.42	2.59	2.71	3.11	3.89
Start	2.10	3.62	2.89	4.42	2.69	2.79	3.50	4.22
5 min	2.45	3.33	2.89	3.92	2.00	3.30	2.75	4.31
10 min	2.45	3.32	2.88	3.92	2.00	3.30	2.75	4.31
15 min	2.14	3.23	3.00	4.39	2.19	3.33	3.00	4.00
Heart rate (bpm)
−15 min	72.4	16.7	74.8	21.1	67.2	14.7	64.5	20.8
−10 min	73.6	18.0	75.1	25.5	67.4	13.9	65.3	20.4
−5 min	78.1	18.0	78.7	25.2	67.8	12.8	68.3	18.3
Start	87.5	24.8	88.8	46.2	67.2	12.2	67.5	21.1
5 min	89.2	22.5	89.2	42.5	67.6	11.5	67.9	21.0
10 min	82.2	19.4	80.4	25.7	70.1	14.1	67.2	24.3
15 min	77.3	12.7	79.1	11.1	72.5	15.2	74.0	30.0
LF HRV (nu)
−15 min	67.3	20.5	69.9	23.6	62.7	12.6	64.9	20.0
−10 min	58.4	23.6	57.6	47.5	65.4	19.0	66.4	25.2
−5 min	60.2	21.5	67.6	40.5	62.1	17.3	67.8	20.0
Start	44.4	21.0	41.5	36.2	64.5	14.6	61.9	24.3
5 min	48.9	27.5	52.4	41.1	62.6	13.5	65.6	19.9
10 min	57.1	28.2	66.3	39.7	58.3	22.4	55.2	35.3
15 min	63.4	20.2	69.0	27.9	61.1	20.3	68.0	28.0

Heart rate variability and cardiac dysfunction

There were significant period by segment interactions for heart rate (P = 0.008, ή2 = 0.78) and LF-HRV (P = 0.007, ή2 = 0.46). Post hoc tests indicated that heart rate did not change in the control period, but increased in the 5 min before onset of cardiac dysfunction, reaching its peak immediately after episode (Fig. 1). The increase averaged 16.8 beats per minute (see Table 2). By contrast, low frequency heart rate variability decreased at the onset of cardiac dysfunction, remaining low until the episode terminated (Fig. 1). There were no significant changes in very low or high frequency heart rate variability associated with cardiac dysfunction. The high/low frequency ratio showed a near-significant period by segment interaction (P = 0.052, ή2 = 0.28), but in post hoc tests none of the segments differed between cardiac dysfunction and control periods. Figures detailing the responses of individual patients are available as electronic supplementary material.

Similar profiles of mood and cardiac response were observed when analyses were limited either to episodes of ST depression or ventricular tachycardia alone. We also assessed whether effects differed in patients who did and did not take beta-blockers, and those who were or were not taking psychotropic medication. The period by segment interactions remained significant for heart rate after beta-blockers and psychotropic medication had been included as between-person factors (P = 0.006 and 0.003, respectively). There was no main effect for use of either medication, and no interaction between medication use and phase or segment. Similarly, the period by segment interaction for low frequency heart rate variability remained significant after including medication as a between-person factor (P = 0.009 in both cases), and there were no interactions with phase or segment. So the pattern of responses associated with cardiac dysfunction was unaffected by medication use.

Discussion

This small study assessed the association between mood in everyday life and autonomic function during episodes of ST depression or ventricular tachycardia in patients with suspected coronary artery disease, using the Day Reconstruction Method to monitor mood. Episodes of ST depression or ventricular tachycardia were experienced by 14.8% of patients during the 24 h of electrocardiographic monitoring. Cardiac dysfunction was preceded by negative moods for at least 15 min, whereas autonomic changes were more immediate. Heart rate increased in the 5 min before onset, followed by reductions in low frequency heart rate variability coinciding with ST depression/ventricular tachycardia. Although it cannot be concluded that more negative moods stimulated autonomic changes, the temporal sequence is consistent with this view.

The incidence of silent transient myocardial ischemia during ambulatory electrocardiographic monitoring is highly variable across studies (Xanthos et al. 2008). For example, Gullette et al. (1997) reported that 44% of patients who had been withdrawn from beta-blockers and other medications manifest transient ischemia over 48 h, whereas the rate in a more recent study of hypertensive patients was 20.1% (Uen et al. 2006). Most of the patients in this study were taking beta-blockers, and the incidence of ST depression/ventricular tachycardia was greater among those who were not taking beta-blockers (Table 1). However, analyses of heart rate and heart rate variability responses over the periods of cardiac dysfunction did not uncover any differences between those who did and did not use beta-blockers. Consequently, the presence or absence of beta-blockade is unlikely to be responsible for the pattern of response detailed in Fig. 1, although it probably did reduce the overall incidence of cardiac dysfunction. By the same token, the pattern of responses was comparable in patients who were or were not taking psychotropic medication.

It is interesting that ST depression/ventricular tachycardia was no more common among patients who were subsequently found to have significant coronary artery obstruction than those who were not classified as having coronary artery disease. The definition of significant coronary artery disease is somewhat arbitrary, and depends on the identification of major stenosis. Diffuse atheroma or microvascular coronary dysfunction may be present in these individuals (Phan et al. 2009).

The pattern of autonomic response was broadly consistent with previous studies in which transient myocardial ischemia has been preceded by vagal withdrawal and/or sympathetic activation (Tuininga et al. 1995; Uen et al. 2006). Kop et al. (2001) reported a reduction of low frequency heart rate variability within the 5 min preceding ST depression, whereas heart rate increased several minutes earlier. We also showed that heart rate increases occurred before alterations in low frequency heart rate variability. In an analysis of 8 cases of ischemic sudden death during ambulatory electrocardiographic monitoring, Pozzati et al. (1996) found that all showed ST segment shifts and 5 of the 8 had ventricular tachyarrhythmias which were preceded by marked reductions in heart rate variability. However, it is notable that high frequency heart rate variability did not show a conspicuous response pattern related to transient cardiac dysfunction. The small sample size in this study may have prevented such an effect from emerging. It is also possible that the lack of high frequency response was due to the assessment of patients with suspected coronary artery disease rather than established coronary heart disease, or because the temporal resolution was 5 min rather than a shorter interval. However, the absence of differences in high frequency coupled with the low frequency heart rate variability responses suggests that effects on sympathetic activation are more prominent than those on vagal withdrawal.

This study used normalized rather than absolute power in the high and low frequency wavebands to represent heart rate variability. Normalization of heart rate variability is a means of reducing the impact of differences in total power, and this is particularly relevant in a small study of this type. Additionally, normalization emphasizes the controlled balance between the two branches of the autonomic nervous system. Although the Task Force (1996) on the assessment of heart rate variability suggested that absolute power is presented along with normalized units, these data are not included in the interests of space.

We used the Day Reconstruction Method to assess moods in the periods surrounding each episode. This method has the advantage that it does not interfere with ongoing activities, as in the case of concurrent diary measures, and provides a fine grained analysis of changes over time. The technique has previously been used to investigate mood changes over the day (Stone et al. 2006) and the experience of pain in every day life (Krueger and Stone 2008), and has good reliability and comparability with momentary assessments of mood (Dockray et al. in press; Krueger and Schkade 2008). A limitation of the method in the present context lies in its temporal resolution and ability to identify very brief affective episodes. We set 15 min to be the minimum length of episode permitted, and measured episodes to the nearest 5 min. This has been commonly adopted in Day Reconstruction Method studies for two reasons: first, to help people understand that what is meant by an episode is not a very brief occurrence, but an activity or interaction of substance. Second, division of the day into very short episodes of a few minutes makes the method unwieldy. However, this means that the method was not able to identify mood fluctuations shorter than 5 min, and very brief but potentially significant changes in affective state could not be measured.

Mood was more negative in the 15 min before onset of cardiac dysfunction than in comparison control periods, or the minutes after onset. This pattern was driven by reductions in positive mood and increases in worry. Gullette et al. (1997) have previously shown with diary assessments that cardiac dysfunction is preceded by increased ratings of tension, sadness and frustration. Interestingly, the autonomic changes indicative of vagal withdrawal were greater among people with more negative moods. Bacon et al. (2004) reported that negative emotional states were associated with decreased low and high frequency heart rate variability, and positive emotions with increased low frequency activity, independently of medication and other factors, whereas Kop et al. (2001) showed that ambulatory ischemic episodes that occurred during high mental activity were accompanied by more pronounced heart rate increases and reductions in low frequency heart rate variability. The findings are consistent with the hypothesis that emotional states may contribute to the autonomic dysregulation that is associated with transient cardiac dysfunctions in patients with coronary artery disease.

The number of individuals experiencing ST depression or ventricular tachycardia was small, so there were insufficient cases to analyze ST depression and ventricular tachycardia episodes separately. We did not monitor physical activity in this study, and it is possible that the cardiac dysfunction and control periods differed in activity levels. However, it is striking that the mean heart rate was very similar at the beginning and end of cardiac dysfunction and control periods, suggesting that sustained differences in concurrent physical activity were not present. A longer period of ambulatory monitoring would have been advantageous, and other studies of emotional and physical triggers have involved 48 h rather than 24 h measurement (Gabbay et al. 1996; Gullette et al. 1997; Kop et al. 2001). It cannot of course be concluded that more negative moods are typically followed by cardiac dysfunction, but rather that negative emotional states may precede the cardiac autonomic changes involved in cardiac dysfunction in everyday life. The Day Reconstruction Method may prove a valuable tool in the investigation of mood changes associated with cardiac dysfunction in patients with coronary artery disease.

Below is the link to the electronic supplementary material.

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