Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2020 Jun 1.
Published in final edited form as: J Cardiovasc Nurs. 2015 Jul-Aug;30(4):346–350. doi: 10.1097/JCN.0000000000000171

Physical and Psychological Symptom Biomechanics in Moderate to Advanced Heart Failure

Quin E Denfeld 1, James O Mudd 2, Jill M Gelow 3, Christopher Chien 4, Shirin O Hiatt 5, Christopher S Lee 6
PMCID: PMC7263019  NIHMSID: NIHMS1592574  PMID: 24988322

Abstract

Background:

There is a common dissociation between objective measures and patient symptomatology in heart failure (HF).

Objective:

To explore the relationship between cardiac biomechanics and physical and psychological symptoms in adults with moderate to advanced HF.

Methods:

We performed a secondary analysis of data from two studies of symptoms among adults with HF. Stepwise regression modeling was performed to examine the influence of cardiac biomechanics (left ventricular internal diastolic diameter (LVIDd), right atrial pressure (RAP), and cardiac index) on symptoms.

Results:

Average age of the sample (n=273) was 57±16 years,61% were male, and 61% had class III or IV HF. LVIDd (β=4.22±1.63, p=0.011), RAP (β=0.71±0.28, p=0.013), and cardiac index (β=7.11±3.19, p=0.028) were significantly associated with physical symptoms. LVIDd (β=0.10±0.05, p=0.038) and RAP (β=0.03±0.01, p=0.039) were significantly associated with anxiety. There were no significant biomechanical determinants of depression.

Conclusion:

Cardiac biomechanics were related to physical symptoms and anxiety providing preliminary evidence of the biological underpinnings of symptomatology among adults with HF.

Keywords: Heart Failure, Symptoms, Biomechanics, Hemodynamics

Background

It is widely recognized that heart failure (HF) is a complex and heterogeneous disorder.1, 2 Beyond the hallmark physical symptoms like shortness of breath and fatigue,3 a majority of adults with HF also experience significant psychological symptoms, such as depression and anxiety.4 Pointedly, symptoms are the main progenitor for healthcare utilization5, 6 and the principal driver of quality-of-life among adults with HF.7 But, objective measures of HF severity often correlate poorly with HF symptoms.812 As such, we are largely bereft of insight into the biological underpinnings of symptoms in HF.

However, there are differences in how symptoms were assessed across these few studies on the biological underpinnings of HF symptoms. For example, Guglin, et al.12 used data from the Evaluation Study of Congestive Heart Failure and Pulmonary Artery Catheterization Effectiveness (ESCAPE) trial in which symptoms were derived from a history and physical examination performed by a provider (details in Drazner et al.13). Other studies rated only the presence or absence of symptoms8, 9 or used measures that primarily assess quality of life,810 and only one study inquired about psychological symptoms.11 The primary aim of this study was to quantify relationships between objective biomechanical indices of heart function (dimensions, contractility, pressures, and flow) and physical and psychological symptoms (depression and anxiety) among adults with moderate to advanced HF. We hypothesized that there would be significant associations between cardiac biomechanics and physical and psychological symptoms.

Methods

We performed a secondary analysis of unique patient data collected during two prospective cohort studies of symptoms among adults with HF (study 1 focused on gender differences in symptoms,14 and study 2 focused on symptom response behaviors15). Participants were recruited through a single outpatient HF clinic in the Pacific Northwest between 2010 and 2012. Key inclusion criteria (identical between studies) were age 21 years or greater with New York Heart Association (NYHA) functional class of II-IV HF (i.e. current HF symptoms). Transplantation and mechanical circulatory support were exclusion criteria, as was a diagnosis of major cognitive impairment. Both studies were approved by our institutional review board, and written consent was obtained from all participants.

Measurement

Data on age, gender, marital status, race, and education were obtained using an identical socio-demographic questionnaire in both studies. Functional status (i.e. NYHA) was assessed by an attending HF cardiologist during the same visit as enrollment. History, etiology, and treatment of HF were collected through a review of the electronic medical record. Comorbid conditions were summarized using the Charlson Comorbidity Index.16 Cardiac biomechanical indices were obtained via a review of the medical record including echocardiographic and right heart catheterization reports. Specifically, we collected data on left ventricular internal diastolic diameter (LVIDd) in centimeters, left ventricular ejection fraction (LVEF), pulmonary capillary wedge pressure (PCWP), right atrial pressure (RAP), and cardiac index by Fick equation. The median times since right heart catheterization and echocardiography to symptom assessment were 11 and 42 days, respectively.

Physical Symptoms

The Heart Failure Somatic Perception Scale (HFSPS) was designed to measure perceived severity of both nonspecific symptoms (e.g. fatigue and weight gain) and acute symptoms (e.g. orthopnea and dyspnea) in HF.17 Scores on the HFSPS range from 0 to 90, with higher scores indicating worse perceived symptom severity. The HFSPS was chosen over other instruments because it is a physical symptom measure tailored specifically for HF, and not a measure of quality-of-life18 or health status19 that other groups have used as a proxy for physical symptoms. Theta reliability of the original HFSPS was 0.71–0.78.17

Psychological Symptoms

Depression was measured using the 9-Item Patient Health Questionnaire (PHQ9).20 The PHQ9 scores each of the 9 related DSM-IV criteria for depression. Scores on the PHQ9 range from 0 to 27 with higher scores indicating worse depression. The PHQ9 is a valid and reliable measure of depression in HF.21 Anxiety was measured using the 6-item Brief Symptom Inventory anxiety scale (BSIANX).22 Scores on the BSIANX (calculated by adding the ratings and dividing the total by the number of items in the subscale) range from 0 to 4 with higher scores indicating higher anxiety. The BSIANX is a valid and reliable measure of anxiety in HF.23

Statistical Analysis

All analyses were performed using Stata/MP version 11MP (StataCorp, College Station, TX). Standard descriptive statistics were used to describe the sample. Internal consistency of each measure was quantified using Cronbach’s alpha. We used backward stepwise regression modeling (p<0.20 retention) to examine the influence of cardiac biomechanical indices on symptom measures and to identify parsimonious multivariate models that were not saturated with non-significant factors. Factors entered into each model were LVIDd, LVEF, PCWP, RAP, cardiac index, ischemic vs. non-ischemic etiology, Charlson Comorbidity Index, months living with HF, treatment with an angiotensin converting enzyme inhibitor/angiotensin receptor blocker and a beta adrenergic blocker, serum sodium, serum hemoglobin, ratio of serum blood urea nitrogen to creatinine, stage 3 or higher chronic kidney disease, atrial fibrillation, gender, age, body mass index, education, and marital status.

Results

The average age of the sample (n=273) was 57 years, 61.2% of participants were male, and 61.2% had NYHA Class III or IV HF (Table 1). The sample had enlarged ventricles (average LVIDd = 6.1cm), reduced contractility (mean LVEF = 28.3%), low cardiac output (mean cardiac index = 2.1 L/min/m2), and high left-and right-sided filling pressures (average PCWP and RAP were 19.0mmHg and 9.6mmHg, respectively). Cronbach’s alpha of the HFSPS, PHQ9, and BSIANX were 0.91, 0.88, and 0.85, respectively.

Table 1:

Characteristics of the sample (n=273)

Mean±SD, or n (%)
Patient Characteristics:
Age (years) 57.3±13.2
Male 167 (61.2%)
Non-Hispanic Caucasian 231 (84.6%)
Education level
 Less than high school 89 (32.6%)
 >High school but < college 122 (44.7%)
 College degree 62 (22.7%)
Body Mass Index (kg/m2) 31.0±7.4
Charlson Comorbidity Index (weighted) 2.3±1.4
Atrial Fibrillation 109 (39.9%)
Stage 3 Chronic Kidney Disease 40 (14.7%)
General Heart Failure Characteristics:
Time with Heart Failure in years: median [IQR] 4.2 [0.8–7.5]
NYHA Functional Class
 Class II 106 (38.8%)
 Class III 157 (57.5%)
 Class IV 10 (3.7%)
Heart Failure Etiology
 Non-ischemic 174 (63.6%)
 Ischemic 99 (36.3%)
Prescribed a β-blocker 246 (90.8%)
Prescribed an ACE-I or ARB 223 (81.6%)
Serum sodium (mEq/L) 137.8±3.3
Serum hematocrit (%) 39.0±5.8
Serum BUN-to-creatinine ratio (mg/dL:1) 20.2±9.5
Cardiac Biomechanics:
Left ventricular internal end-diastolic diameter (cm) 6.1±1.1
Left ventricular ejection fraction (%) 28.3%±12.4%
Pulmonary capillary wedge pressure (mm/Hg) 19.0±8.5
Right atrial pressure (mm/Hg) 9.6±5.5
Cardiac index (L/min/m2 by Fick equation) 2.1±0.5
Symptomatology:
Physical symptoms (HFSPS Score; 0–90) 24.6±16.7
Depression (PHQ9; 0–27) 7.2±6.1
Anxiety (BSI; 0–4) 0.53±0.63

Abbreviations: ACE-I, Angiotensin Converting Enzyme-Inhibitor; ARB, Angiotensin Receptor Blocker; BSI, Brief Symptom Inventory; HFSPS, Heart Failure Somatic Perception Scale; IQR, interquartile range; NYHA, New York Heart Association; PHQ9, Patient Health Questionnaire; SD, Standard Deviation

Cardiac biomechanics and clinical characteristics explained 17.1% of variance in HFSPS scores (F=3.4, p<0.01), 16.1% of variance in PHQ9 scores (F=6.2, p<0.0001), and 24.1% of variance in BSIANX scores (F=3.5, p<0.001) (Table 2). In addition to other clinical characteristics, LVIDd (β=4.22±1.63, p=0.011), RAP (β=0.71±0.28, p=0.013), and cardiac index (β=7.11±3.19, p=0.028) were significant determinants of physical symptoms, and LVIDd (β=0.10±0.05, p=0.038) and RAP (β=0.03±0.01, p=0.039) were significant determinants of anxiety. In other words, greater ventricular dilation and higher right-sided filling pressures were associated with worse physical symptoms and worse anxiety, and higher cardiac output was associated with worse physical symptoms. The ratio of serum blood urea nitrogen to creatinine was the only factor significantly associated with physical symptoms, depression, and anxiety.

Table 2:

Influence of Cardiac Biomechanics and Clinical Characteristics on HF Physical and Psychological Symptoms

HFSPS PHQ9 BSIANX
β±SE t p-value β±SE t p-value β±SE t p-value
Age (years) −0.12±0.03 −3.80 <0.001 −0.01±0.01 −3.06 0.003
Male −8.04±3.58 −2.24 0.027
> High school but < college −0.31±0.13 −2.42 0.017
College degree −2.35±1.09 −2.15 0.033
Charlson Comorbidity Index 0.92±0.29 3.16 0.002
Atrial Fibrillation −6.61±3.15 −2.10 0.038
LVIDd (cm) 4.22±1.63 2.59 0.011 0.10±0.05 2.10 0.038
RAP (mm/Hg) 0.71±0.28 2.53 0.013 0.03±0.01 2.09 0.039
Cardiac Index (L/min/m2) 7.11±3.19 2.23 0.028
BUN/Cr ratio −0.44±0.17 −2.64 0.009 −0.11±0.04 −2.78 0.006 −0.02±0.01 −2.98 0.004
Beta Adrenergic Blocker −0.50±0.19 −2.61 0.010
Model R2/Adjusted R2 0.171/0.120 0.161/0.135 0.241/0.172

Abbreviations: BUN/Cr, blood urea nitrogen to creatinine ratio; BSIANX, Brief Symptom Inventory Anxiety Score; HFSPS, Heart Failure Somatic Perception Scale; LVIDd, left ventricular internal diastolic diameter; PHQ9, Patient Health Questionnaire; RAP, right atrial pressure (mm/Hg); SE, standard error.

Note: Results reported were factors retained in backward stepwise models that included left ventricular internal diastolic diameter, left ventricular ejection fraction, pulmonary capillary wedge pressure, right atrial pressure, cardiac index, ischemic vs. non-ischemic etiology, Charlson Comorbidity Index, months living with heart failure, treatment with an angiotensin converting enzyme inhibitor or angiotensin receptor blocker, treatment with a beta adrenergic blocker, serum sodium, serum hemoglobin, ratio of serum blood urea nitrogen to creatinine, stage 3 or higher chronic kidney disease, atrial fibrillation, gender, age, body mass index, education and marital status. Only significant factors displayed for economy of presentation.

Discussion

In this sample of 273 patients with moderate to advanced HF, objective cardiac biomechanical indices were significantly related to perceived physical symptoms and anxiety, but not to depression. In several instances, intuitive relationships between biomechanics and symptoms were observed in multivariate models. Larger left ventricular diameter and higher right-sided filling pressures were associated with both worse physical symptoms and anxiety. There were also examples of significant relationships between cardiac biomechanics and symptom perceptions that did not appear intuitive. For example, higher cardiac index was associated with worse physical symptoms. Moreover, and similar to other findings,12 a higher blood urea nitrogen-to-creatinine ratio, which is typically associated with poor prognosis in HF, was associated with lower levels of physical symptoms and lower levels of both depression and anxiety in this sample. Notably, very few other objective clinical characteristics in our model were significantly associated with symptom measures. Thus, although our findings provide insight into symptom biomechanics in HF, there is more to be learned about the intersection between the complex and multidimensional symptoms experienced by persons with HF and underlying pathogenic mechanisms.

Many other groups have reported weak or no relationships between objective measures of HF severity and HF symptoms. One reason why we may have observed significant relationships centers on our choice of symptom measures, including the HFSPS and BSIANX, instead of the investigator-developed scales or quality-of-life/health status measures used by others as proxies for symptoms.810, 12 Because of our choice of symptom measures, however, we cannot comment on the direct relationship between HF biomechanics and quality-of-life or health status like prior reports.910

Clinically, our findings indicate that while there were significant relationships between cardiac biomechanics and HF symptoms, one shouldn’t be considered surrogate for the other as there is still much to be learned about the complexity of HF symptom pathophysiology. In particular, future studies should examine non-intuitive findings such as the relationship between cardiac index and symptoms as well as the relationship between blood urea nitrogen-to-creatinine ratio and symptoms. Inconsistencies in both objective parameters and symptom measures across related studies hamper our ability to make strong and summative conclusions about the pathogenic underpinnings of symptoms in HF. Methodological approaches chosen to examine symptom biology have also been rather simple (i.e. correlations and linear regression) in contrast to the complexity of symptom pathophysiology. Thus, more advanced statistical methods of integrating multiple objective cardiac parameters and multiple symptoms should be employed in future research. Finally, although findings from this and other cross-sectional studies have contributed to a foundational understanding of HF symptom biology, longitudinal studies are needed to understand the convergence/divergence of changes in HF pathogenesis and physical and psychological symptoms over time.

Limitations

Our sample was relatively young and racially homogenous, and a high proportion had HF of non-ischemic etiology compared with many other HF cohorts. Thus, our findings may not be generalizable to all patients with HF. Furthermore, because of limitations inherent in cross-sectional research, we cannot comment on the temporality of HF symptoms and cardiac biomechanics, which further supports the need for longitudinal studies. Finally, as our understanding of symptom biology improves we can evolve to testing theoretical models as opposed to simply generating data-driven models as in the results of this study.

Conclusion

Larger left ventricular diameter and higher right-sided filling pressures are associated with worse physical symptoms and anxiety in adults with HF. Longitudinal studies are needed to gain further insight into HF symptom biomechanics in general and the convergence/divergence between objective parameters and symptoms in particular.

What’s New?

There is a paucity of knowledge regarding the biological underpinnings of symptoms in heart failure. Objective cardiac biomechanics were compared with corresponding physical and psychological symptoms of heart failure among a sample of 273 patients with moderate to advanced heart failure. They found the following:

  • Larger left ventricular diameter is associated with worse physical symptoms and anxiety in heart failure.

  • Higher right-sided filling pressures are associated with worse physical symptoms and anxiety in heart failure.

  • Relationship between heart failure symptoms and pathophysiology warrants further study.

Funding Acknowledgment

This work was supported, in part, by an award from the American Heart Association (11BGIA7840062 (Lee)), grant number K12HD043488-08 (Lee) from the U.S. Office of Research on Women’s Health and National Institute of Child Health and Human Development, and the National Hartford Centers of Gerontological Nursing Excellence Patricia G. Archbold Scholar Program (Denfeld). The content is solely the responsibility of the authors and does not necessarily represent the official views of the American Heart Association, Office of Research on Women’s Health, or the National Hartford Centers of Gerontological Nursing Excellence.

Footnotes

Declaration of Conflicting Interests

None Declared

Contributor Information

Quin E. Denfeld, Oregon Health & Science University School of Nursing, Portland, OR.

James O. Mudd, Oregon Health & Science University, Knight Cardiovascular Institute, Portland, OR.

Jill M. Gelow, Oregon Health & Science University, Knight Cardiovascular Institute, Portland, OR.

Christopher Chien, Oregon Health & Science University, Knight Cardiovascular Institute, Portland, OR.

Shirin O. Hiatt, Oregon Health & Science University School of Nursing, Portland, OR.

Christopher S. Lee, Oregon Health & Science University School of Nursing and Knight Cardiovascular Institute, Portland, OR.

References

  • 1.Bleumink GS, Knetsch AM, Sturkenboom MC, et al. Quantifying the heart failure epidemic: prevalence, incidence rate, lifetime risk and prognosis of heart failure The Rotterdam Study. Eur Heart J. 2004; 25(18): 1614–1619. [DOI] [PubMed] [Google Scholar]
  • 2.Yancy CW, Jessup M, Bozkurt B, et al. 2013 ACCF/AHA Guideline for the Management of Heart Failure: A Report of the American College of Cardiology Foundation/American Heart Association Task Force on Practice Guidelines. Circlation. 2013. [DOI] [PubMed] [Google Scholar]
  • 3.Hauptman PJ, Masoudi FA, Weintraub WS, Pina I, Jones PG, Spertus JA. Variability in the clinical status of patients with advanced heart failure. J Card Fail. 2004; 10(5): 397–402. [DOI] [PubMed] [Google Scholar]
  • 4.Konstam V, Moser DK, De Jong MJ. Depression and anxiety in heart failure. J Card Fail. 2005; 11(6): 455–463. [DOI] [PubMed] [Google Scholar]
  • 5.Adams KF Jr., Fonarow GC, Emerman CL, et al. Characteristics and outcomes of patients hospitalized for heart failure in the United States: rationale, design, and preliminary observations from the first 100,000 cases in the Acute Decompensated Heart Failure National Registry (ADHERE). Am Heart J. 2005; 149(2): 209–216. [DOI] [PubMed] [Google Scholar]
  • 6.Moser DK, Frazier SK, Worrall-Carter L, et al. Symptom variability, not severity, predicts rehospitalization and mortality in patients with heart failure. European Journal of Cardiovascular Nursing. 2011; 10(2): 124–129. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Zambroski CH, Moser DK, Bhat G, Ziegler C. Impact of symptom prevalence and symptom burden on quality of life in patients with heart failure. Eur J Cardiovasc Nurs. 2005; 4(3): 198–206. [DOI] [PubMed] [Google Scholar]
  • 8.Shah MR, Hasselblad V, Stinnett SS, et al. Dissociation between hemodynamic changes and symptom improvement in patients with advanced congestive heart failure. Eur J Heart Fail. 2002; 4(3): 297–304. [DOI] [PubMed] [Google Scholar]
  • 9.Rector TS, Anand IS, Cohn JN. Relationships between clinical assessments and patients’ perceptions of the effects of heart failure on their quality of life. J Card Fail. 2006; 12(2): 87–92. [DOI] [PubMed] [Google Scholar]
  • 10.Myers J, Zaheer N, Quaglietti S, Madhavan R, Froelicher V, Heidenreich P. Association of Functional and Health Status Measures in Heart Failure. J Card Fail. 2006; 12(6): 439–445. [DOI] [PubMed] [Google Scholar]
  • 11.Gottlieb SS, Kop WJ, Ellis SJ, et al. Relation of depression to severity of illness in heart failure (from Heart Failure And a Controlled Trial Investigating Outcomes of Exercise Training [HF-ACTION]). Am J Cardiol. 2009; 103(9): 1285–1289. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Guglin M, Patel T, Darbinyan N. Symptoms in heart failure correlate poorly with objective haemodynamic parameters. Int J Clin Pract. 2012; 66(12): 1224–1229. [DOI] [PubMed] [Google Scholar]
  • 13.Drazner MH, Hellkamp AS, Leier CV, et al. Value of clinician assessment of hemodynamics in advanced heart failure: ESCAPE trial. Circ Heart Fail. 2008; 1: 170–177. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Lee CS, Gelow JM, Denfeld QE, et al. Physical and Psychological Symptom Profiling and Event-Free Survival in Adults With Moderate to Advanced Heart Failure. J Cardiovasc Nurs. 2013. [article in press] [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Lee CS, Lyons KS, Gelow JM, et al. Validity and reliability of the European Heart Failure Self-care Behavior Scale among adults from the United States with symptomatic heart failure. Eur J Cardiovasc Nurs. 2013; 12(2): 214–218. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Charlson ME, Pompei P, Ales KL, MacKenzie CR. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis. 1987; 40(5): 373–383. [DOI] [PubMed] [Google Scholar]
  • 17.Jurgens CY, Fain JA, Riegel B. Psychometric testing of the Heart Failure Somatic Awareness Scale. Journal of Cardiovascular Nursing. 2006; 21(2): 95–102. [DOI] [PubMed] [Google Scholar]
  • 18.Rector TS, Kubo SH, Cohn JN. Validity of the Minnesota Living with Heart Failure questionnaire as a measure of therapeutic response to enalapril or placebo. Am J Cardiol. 1993; 71(12): 1106–1107. [DOI] [PubMed] [Google Scholar]
  • 19.Green CP, Porter CB, Bresnahan DR, Spertus JA. Development and evaluation of the Kansas City Cardiomyopathy Questionnaire: a new health status measure for heart failure. J Am Coll Cardiol. 2000; 35(5): 1245–1255. [DOI] [PubMed] [Google Scholar]
  • 20.Kroenke K, Spitzer RL, Williams JB. The PHQ-9: validity of a brief depression severity measure. J Gen Intern Med. 2001; 16(9): 606–613. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Hammash MH, Hall LA, Lennie TA, Heo S, Chung ML, Lee KS, Moser DK. Psychometrics of the phq-9 as a measure of depressive symptoms in patients with heart failure. Eur J Cardiovasc Nurs. 2013; 12: 446–453. [DOI] [PubMed] [Google Scholar]
  • 22.Derogatis LR, Melisaratos N. The Brief Symptom Inventory: an introductory report. Psychological Medicine. 1983; 13(3): 595–605. [PubMed] [Google Scholar]
  • 23.Khalil AA, Hall LA, Moser DK, Lennie TA, Frazier SK. The psychometric properties of the brief symptom inventory depression and anxiety subscales in patients with heart failure and with and without renal dysfunction. Arch Psych Nurs. 2011; 25(6): 419–429. [DOI] [PubMed] [Google Scholar]

RESOURCES