Literature DB >> 31371968

Heart rate variability and incidence of depression during the first six months following first myocardial infarction.

Alina Wilkowska1, Andrzej Rynkiewicz2, Joanna Wdowczyk3, Jerzy Landowski1, Wiesław Jerzy Cubała1.   

Abstract

BACKGROUND: Post-myocardial depression is a highly prevalent condition worsening the course and prognosis of coronary artery disease. One of the possible pathogenetic factors is dysregulation of the autonomous nervous system, resulting in heart rate variability reduction.
METHODS: Twenty two patients hospitalised due to a first myocardial infarction were included. The Beck Depression Inventory (BDI) was used to rate the severity of their depressive symptoms.
RESULTS: Depressive symptomatology, defined as BDI ≥10, was present in 36.3% of the patients. Increase in heart rate variability (HRV) was observed in both groups during the first 6 months after the myocardial infarction. The HRV was significantly lower in the depressed group compared to patients without depression.
CONCLUSION: Presence of depression after the myocardial infarction (MI) is associated with a significant decrease of the time domain HRV measure SDNN (standard deviation of all normal RR intervals) and with its slower increase during at least a three months period.

Entities:  

Keywords:  autonomic nervous system; depression; heart rate variability; myocardial infarction

Year:  2019        PMID: 31371968      PMCID: PMC6628206          DOI: 10.2147/NDT.S212528

Source DB:  PubMed          Journal:  Neuropsychiatr Dis Treat        ISSN: 1176-6328            Impact factor:   2.570


Introduction

Patients with heart disease are four times more likely to develop depression than the general population and depression is an independent risk factor for cardiac morbidity and mortality. Low heart rate variability (HRV), which reflects increased sympathetic and/or inadequate parasympathetic modulation of heart rate, is a strong predictor of mortality in patients with CHD.1–3 Although the link between HRV and depression is yet to be fully elucidated, research has shown a relatively consistent association between reductions in HRV and major depressive disorder (MDD).4,5 Depression in patients with no history of somatic morbidity results in an autonomic nervous system imbalance in the form of sympathetic hyperactivity, parasympathetic impairment, or both6,7 This autonomous system dysregulation reflected by reduced HRV is also observed in coronary artery disease (CAD) patients without depression.8 Heart rate variability is reduced after reperfused MI during the first 24 hrs,9 about two weeks after the MI10 and it increases during the subsequent 12 months.11 It seems that the effect on HRV imbalance is also pronounced in patients with depression and CAD12 and with depression after MI.13 We hypothesized that HRV after reperfused MI is lower in patients with depression and the increase in HRV is slower in depression group. The aim of this study was to observe the change in the time domain of the HRV measure (SDNN) in patients after a first MI according to the presence of depression.

Methods

Subjects

Twenty-two patients were admitted to the tertiary reference centre for cardiology with their first acute MI with ST elevation (STEMI). Table 1 presents the demographic and clinical characteristics of the study population. The 22 patients took part in another study on the biological effects of depression discussed in detail elsewhere14 and completed the follow-up period with 24 h ECG recordings. Each patient underwent invasive coronary angiography and revascularization with stent implantation in culprit lesion. All patients received standard pharmacological treatment: antiplatelet drugs – clopidogrel and aspirin, statin, beta blocker and ACE inhibitor in standard doses.
Table 1

Demographic and clinical variables

All patientsPresence of depression after MI (3–5 day)p
(+)(-)
N22814
Women (%)5 (23%)2 (25%)3 (21.5%)
Age (years)
Mean (SD)54.9 (6.5)55.3 (5.4)54.6 (7.3)
Median (IQR)54.5 (50; 59)54.5 (51.5; 59.5)55 (49; 59)ns
Weight (kg)
Mean (SD)81.0 (15.1)76.9 (18.5)83.4 (13.0)
Median (IQR)79 (72; 90)72.5 (68; 77.5)84 (75; 95)ns
BMI (kg/m2)
Mean (SD)26.5 (3.5)25.0 (3.8)27.4 (3.2)
Median (IQR)25.4 (24.2; 29.2)24.3 (23.8; 24.7)27.3 (25.3; 29.4)ns
Tail (cm)
Mean (SD)95.7 (10.9)93.4 (14.9)97.2 (7.9)
Median (IQR)94 (91; 101)92 (85.5; 96.5)97 (92; 102)ns
WHR
Mean (SD)0.95 (0.07)0.94 (0.09)0.89 (0.26)
Median (IQR)0.96 (0.93; 0.98)0.96 (0.87; 1.0)0.96 (0.93; 0.98)ns
BDI-I (3–5 day) median (IQ)4.5 (1.0; 12.0)14.0 (11.5; 16.5)1.0 (1.0; 4.0)0.000 *
BDI-I(3rdmonth) median (IQ)3.5 (1.5; 8.5)10.0 (4.0; 13.0)2.0 (21.0; 4.0)0.004 *
BDI-I (6thmonth) median (IQ)3.0 (1.0; 7.0)6.0 (3.0; 9.0)2.0 (1.0; 4.0)0.070 *
SDNN1 (3-5day)(ms)
Mean (SD)89.3 (25.7)70.8 (14.3)99.8 (25.1)
Median (IQR)87.8 (73.0; 108.5)72.4 (65.0; 80.4)100.1 (87.6; 111.4)0.004 *
SDNN 2 (3rd month) (ms)
Mean (SD)121.3 (27.3)105.0 (31.1)130.7 (20.7)
Median (IQR)119.7 (106.6; 142.1)100.2 (85.2; 124.1)129.3(114.3; 144.8)0.048 *
SDNN 3 (6th month) (ms)
Mean (SD)132.9 (22.9)125.0 (16.4)137.5 (25.4)
Median (IQR)128.4 (119.5; 151.0)120.8 (112.3, 132.8)143.2 (126.5, 152.3)0.095 *
Kruskal-Wallis testT=22.975 p<0.0001T=12.159 p=0.002T=13.637 p=0.001
p: **SDNN1 vs SDNN2SDNN1 vs SDNN3SDNN2 vs SDNN30.002<0.00010.3070.0700.0020.3880.0110.0030.456

Notes: *Mann-Whitney U test. **Pairwise comparison (Dwass-Steel-Chritchlow-Fligner).

Abbreviations: CI, confidence interval; BMI, body mass index; WHR, waist-hip ratio; SD, standard deviation; IQR, interquartile range; SDNN, standard deviation of all normal RR intervals.

Demographic and clinical variables Notes: *Mann-Whitney U test. **Pairwise comparison (Dwass-Steel-Chritchlow-Fligner). Abbreviations: CI, confidence interval; BMI, body mass index; WHR, waist-hip ratio; SD, standard deviation; IQR, interquartile range; SDNN, standard deviation of all normal RR intervals. The left ventricle ejection fraction (LVEF) was ≥40%. The exclusion criteria were endocrine diseases such as diabetes, hypo- or hyperthyroidism, severe renal or hepatic failure, hormone therapy, active substance use disorder and the presence of psychiatric disorders other than depression, anxiety disorders, and stress related and adjustment disorders. All the patients were diagnosed with the Structured Clinical Interview for DSM-IV Axis I Disorders15 three times during the six months period after MI: specifically, on the third day and in the 3rd and 6th month after MI. The intensity of depressive symptoms was estimated three times during 6 months of observation with Beck Depression Inventory (BDI-I).16 The cut-off score of ≥10 for BDI-I qualified the subjects to the depression group; it was present in 36.3% of the patients. The study was approved by the Independent Ethics Committee of the Medical University of Gdansk (approval number NKEBN/205/2006). For each participant, written informed consent was obtained.

Heart rate variability measurement

A straightforward metric of HRV, termed the SDNN, is the standard deviation of all normal RR intervals (those measured between consecutive sinus beats). The SDNN may be easily calculated from a 24 hr Holter monitor. In calculating SDNN, any RR interval that begins or ends with a PAC or PVC is simply deleted from the sequence. SDNN is typically measured over 24 hrs and reported in units of ms. The patients underwent 24 hr ECG monitoring for HRV measurement at three time points after the MI: 3–5 days, 3 months and 6 months. Twenty-four-hour ECG Holter recordings were analysed on a Del Mar Reynolds system (Spacelabs Healthcare, United States). The sampling rate of the ECG was 128 Hz, which ensured 8 ms accuracy for the times of identification of R-peaks of the QRS complex. The quality of the ECG recordings and accuracy of R-peak detection were verified by visual inspection by experienced cardiologists. All normal beats were carefully annotated, so that only normal sinus rhythms were considered in our investigations. Each signal was edited to preserve the RR-intervals between normal-to-normal beats only. Longer segments with wrong data were deleted. Hours with an overall quantity of normal-to-normal beats of less than 95% were excluded from further analysis.

Psychiatric evaluation

Patients were interviewed 24–72 h after admission to ascertain the presence of a major depressive episode (DSM-IV TR criteria). The diagnosis of depression was made on the basis of clinical interview and the intensity of depressive symptoms was appraised with the use of BDI. Subsequent psychiatric evaluation with the use of the same tools was performed after 3 and 6 months from the day of the MI. The evaluations were conducted by an experienced psychiatrist blinded to the HRV results. Depressed patients were not treated pharmacologically due to relatively mild symptoms, but received psychological support.

Statistics

Statistical procedures were performed using statistical software StatsDirect v. 3.1.22. Continuous data are described by both means and standard deviations as well as medians and interquartile ranges (IQR), ordinals by medians and interquartile ranges. The distribution pattern of all continuous variables was assessed with the Shapiro-Wilk test. All were characterized by a normal distribution. However, because of the small number of groups in comparative analyses, we used non-parametric tests: Mann-Whitney U test for two groups, Kruskal-Wallis for more groups.

Results

Depending on the presence of depression in the first 3–5 days after the MI, the entire group was subdivided into two groups. The depression group included 8 patients (2 women), the group without depression – 14 (including 3 women). Two patients were diagnosed with major depression. The mean age was 55.3 years in the depression group and 54.6 years in the no depression group. There was a significant increase of SDNN during the observation time in both groups: with depression (D+) and without depression (D-) (Table 1). Pairwise comparison shows significant differences between the analysed time-point except for the difference between 3 and 6 months in the D- group. In the D+ group the only significant difference was found between the 3–5th day and 6th month. The SDNN value was significantly lower in the D+ group compared to the D- group on the 3-5th day and in the 3rd month. There was no significant difference in the 6th month.

Discussion

In this study of patients with first MI we found that HRV was significantly lower in the depressed group compared to patients without depression, which indicates greater autonomic dysfunction in depressed subjects. We also observed a gradual increase of the HRV time domain measure in both groups, but in the depression group it took longer. No difference between the groups was observed after 6 months from the MI. These results are consistent with other studies on heart rate variability in depressed patients after myocardial infarction,13,17–22 although there are also contrary results where no differences associated with HRV were found.23 Only some of the mentioned studies had a longitudinal design13,20,21,24 and most of them were not designed to observe HRV changes in relation to the presence of depression during follow-up. Two of them had HRV follow up at two time points with psychiatric evaluation.13,24 To our knowledge, this is the only study with 3 time points of 24 h ECG recording accompanied by direct psychiatric evaluation. The percentage of patients with MDE detected in our study (ie 23%) is comparable to the published figures of in-patients with ACS (15–20%).25,26 The standard cut off point of 10 in the BDI scale17 was used in other trials17,21,27 and it was proved that patients with mild to moderate depression after MI also have reduced HRV.21 It seems also true for stable CAD patients.28 The association between CAD and MDD has been investigated for more than 20 years. HRV reflects the balance between sympathetic and parasympathetic systems, as increased sympathetic activity or decreased parasympathetic activity can reduce HRV, whereas decreased sympathetic activity, or increased parasympathetic activity will result in increased HRV.29 Low heart rate variability has been proposed as a candidate mechanism linked to both ACS and depression.30–33 Depressed patients have reduced medication compliance34 and have more difficulty coping with the stress of an illness.35,36 HRV has been associated with cognitive deficits, especially in tasks relying on the frontal cortex.37 In addition, reduced HRV has been associated with emotional deficits and in particular with emotional inflexibility.38 Interestingly, neuroimaging meta-analysis found an association between HRV and activity of the major neuronal areas involved in cognitive and emotional flexibility (the anterior cingulate and prefrontal cortex, the insula and the amygdala).39 HRV, therefore, may not only represent an important link between MDD and CAD, but may actually be fundamentally related to the aetiology of the psychiatric symptoms seen in patients with MDD. Presence of depression is correlated with a worse prognosis after myocardial infarction40,41 and CAD.1,42,43 Decreased HRV is likely to contribute to elevated risk in depressed patients after MI. More studies are needed to clarify biological and psychological mechanisms underlying this interlink. Future studies should focus on identifying treatments that improve both depression and HRV, and determining their effect on survival in this group of patients.44

Study limitations

A limitation of the present study is the small number of participants and no data on smoking. Another limitation is that many patients received drugs such as beta-blockers, angiotensin converting enzyme (ACE) inhibitors, benzodiazepines, and opiates, which possibly influenced the HRV. However, in our study group, the distribution of patients receiving these drugs was similar in all subgroups and the HRV was not significantly affected by these drugs. This study results are limited to the population free of comorbid diabetes mellitus and other endocrinological conditions which could influence cortisol values measured in another part of this study.14

Conclusion

Depression is a common psychiatric disorder in patients after myocardial infarction. Presence of depression after the MI is associated with a significant decrease of the time domain HRV measure (SDNN) and with its slower increase during at least a three months period. The observation supports the concept that depression increases the autonomic derangement post MI for a longer time.

Ethics

This study was conducted in accordance with the Declaration of Helsinki.
  43 in total

1.  Change in heart rate and heart rate variability during treatment for depression in patients with coronary heart disease.

Authors:  R M Carney; K E Freedland; P K Stein; J A Skala; P Hoffman; A S Jaffe
Journal:  Psychosom Med       Date:  2000 Sep-Oct       Impact factor: 4.312

2.  An inventory for measuring depression.

Authors:  A T BECK; C H WARD; M MENDELSON; J MOCK; J ERBAUGH
Journal:  Arch Gen Psychiatry       Date:  1961-06

Review 3.  Optimizing outcomes in depression: focus on antidepressant compliance.

Authors:  M B Keller; R M A Hirschfeld; K Demyttenaere; D S Baldwin
Journal:  Int Clin Psychopharmacol       Date:  2002-11       Impact factor: 1.659

4.  Even minimal symptoms of depression increase mortality risk after acute myocardial infarction.

Authors:  D E Bush; R C Ziegelstein; M Tayback; D Richter; S Stevens; H Zahalsky; J A Fauerbach
Journal:  Am J Cardiol       Date:  2001-08-15       Impact factor: 2.778

5.  Effects of anxiety and depression on 5-year mortality in 5,057 patients referred for exercise testing.

Authors:  C Herrmann; S Brand-Driehorst; U Buss; U Rüger
Journal:  J Psychosom Res       Date:  2000 Apr-May       Impact factor: 3.006

6.  Depression, heart rate variability, and acute myocardial infarction.

Authors:  R M Carney; J A Blumenthal; P K Stein; L Watkins; D Catellier; L F Berkman; S M Czajkowski; C O'Connor; P H Stone; K E Freedland
Journal:  Circulation       Date:  2001-10-23       Impact factor: 29.690

7.  Heart rate variability in patients with acute myocardial infarction undergoing primary coronary angioplasty.

Authors:  H Bonnemeier; F Hartmann; U K Wiegand; C Irmer; T Kurz; R Tölg; H A Katus; G Richardt
Journal:  Am J Cardiol       Date:  2000-04-01       Impact factor: 2.778

8.  Clinical and demographic determinants of heart rate variability in patients post myocardial infarction: insights from the cardiac arrhythmia suppression trial (CAST).

Authors:  P K Stein; P P Domitrovich; R E Kleiger; K B Schechtman; J N Rottman
Journal:  Clin Cardiol       Date:  2000-03       Impact factor: 2.882

9.  Depression as a risk factor for mortality after acute myocardial infarction.

Authors:  Robert M Carney; James A Blumenthal; Diane Catellier; Kenneth E Freedland; Lisa F Berkman; Lana L Watkins; Susan M Czajkowski; Junichiro Hayano; Allan S Jaffe
Journal:  Am J Cardiol       Date:  2003-12-01       Impact factor: 2.778

10.  Cardiac parasympathetic dysfunction related to depression in older adults with acute coronary syndromes.

Authors:  Salvador M Guinjoan; M Soledad Ladrón de Guevara; Carolina Correa; Silvina I Schauffele; Leonardo Nicola-Siri; Rodolfo D Fahrer; Enrique Ortiz-Frágola; José A Martínez-Martínez; Daniel P Cardinali
Journal:  J Psychosom Res       Date:  2004-01       Impact factor: 3.006

View more
  6 in total

Review 1.  Mechanisms supporting potential use of bone marrow-derived mesenchymal stem cells in psychocardiology.

Authors:  Jianyang Liu; Lijun Zhang; Meiyan Liu
Journal:  Am J Transl Res       Date:  2019-11-15       Impact factor: 4.060

2.  The effect of lifestyle modification on depression among myocardial infarction patients after revascularisation.

Authors:  Aminu Arzet; Wilbert Sibanda; D P Naidoo; Ponnusamy Somalingum
Journal:  Cardiovasc J Afr       Date:  2021-03-26       Impact factor: 1.167

3.  Impact of Water Temperature on Heart Rate Variability during Bathing.

Authors:  Jianbo Xu; Wenxi Chen
Journal:  Life (Basel)       Date:  2021-04-22

4.  Effect of voluntary breathing exercises on stable coronary artery disease in heart rate variability and rate-pressure product: a study protocol for a single-blind, prospective, randomized controlled trial.

Authors:  Qing Wu; Lin Liu; Xin Jiang; Yao-Yao Hu; Qiu-Shi Liang; Zhi-Song He; Yuan Xue; Wei Zhu; Zai-Xiang Tang; Yun-Ying Hou; Qi Zhao; Xiao-Hua Wang
Journal:  Trials       Date:  2020-07-01       Impact factor: 2.279

5.  Shuangxinfang Prevents S100A9-Induced Macrophage/Microglial Inflammation to Improve Cardiac Function and Depression-Like Behavior in Rats After Acute Myocardial Infarction.

Authors:  Yize Sun; Zheyi Wang; Jiqiu Hou; Jinyu Shi; Zhuoran Tang; Chao Wang; Haibin Zhao
Journal:  Front Pharmacol       Date:  2022-06-24       Impact factor: 5.988

6.  A particle swarm optimization improved BP neural network intelligent model for electrocardiogram classification.

Authors:  Guixiang Li; Zhongwei Tan; Weikang Xu; Fei Xu; Lei Wang; Jun Chen; Kai Wu
Journal:  BMC Med Inform Decis Mak       Date:  2021-07-30       Impact factor: 2.796

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.