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Wang Z, Redeker NS, Tocchi C, Kim K, Conley S, Chyun D. Functional Capacity, Functional Performance, and Symptoms in People With Heart Failure: An Integrative Review. J Cardiovasc Nurs 2024:00005082-990000000-00235. [PMID: 39454078 DOI: 10.1097/jcn.0000000000001152] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/27/2024]
Abstract
BACKGROUND Heart failure (HF) is a clinical syndrome that has a negative effect on functional status, a multidimensional concept characterizing one's ability to provide for the necessities of life. Symptoms might be associated with different aspects of functional status in HF. However, the terms functional capacity and performance have been misused interchangeably, and no previous review has focused on the extent to which symptoms contribute to functional capacity and performance among people with HF. OBJECTIVE The aim of this study was to comprehensively review and synthesize the existing literature on the relationship between symptoms, functional capacity, and functional performance in people with HF. METHODS We conducted an integrated review of observational studies in which authors examined the relationship between at least 1 symptom and at least 1 aspect of functional capacity or performance in people with HF 18 years or older. The Joanna Briggs Institute's critical appraisal tools were used to analyze the quality of studies. RESULTS We included 23 studies with 7219 participants and an age range of 40 to 86 years. Fifteen symptom measures were used to measure dyspnea, fatigue, pain, insomnia symptoms, depressive symptoms, and anxiety symptoms. Three functional capacity measures were assessed in 9 studies, and 7 functional performance measures were assessed in 17 studies. As often measured with the Six-Minute Walk Test, functional capacity was inversely associated with pain/discomfort, insomnia symptoms, and psychological symptoms. Functional performance, often measured by the New York Heart Association functional class and Medical Outcome Scale Short Form 36, was associated with sleep difficulties, fatigue, depressive symptoms, and anxiety. Four studies combined functional capacity and performance measures to elicit functional status. Depressive symptoms, fatigue, pain, and insomnia symptoms are associated with decreased functional performance and capacity. CONCLUSIONS AND CLINICAL IMPLICATIONS Commonly, symptoms experienced in HF are associated with declining functional status. However, this finding depends on the measures or metrics used to assess symptoms, functional capacity, and performance. The observed dissimilarities in the relationship between symptoms and functional capacity and performance highlight the conceptual distinctions, suggesting that authors of future studies should judiciously select appropriate dimensions and measures of functional status based on the study's purposes, design, and available resource.
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Denfeld QE, Roberts Davis M. Which of these symptom trajectories is not like the other? Eur J Cardiovasc Nurs 2024; 23:e140-e141. [PMID: 38748905 PMCID: PMC11492730 DOI: 10.1093/eurjcn/zvae064] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/20/2024] [Revised: 04/24/2024] [Accepted: 04/25/2024] [Indexed: 10/22/2024]
Affiliation(s)
- Quin E Denfeld
- School of Nursing, Oregon Health & Science University, 3455 S.W. U.S. Veterans Hospital Road, Portland, OR 97239-2941, USA
- Knight Cardiovascular Institute, Oregon Health & Science University, 3181 SW Sam Jackson Park Road, Portland, OR 7239-2941, USA
| | - Mary Roberts Davis
- School of Nursing, Oregon Health & Science University, 3455 S.W. U.S. Veterans Hospital Road, Portland, OR 97239-2941, USA
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Lv Q, Zhang X, Wang Y, Xu X, He Y, Liu J, Chang H, Zhao Y, Zang X. Multi-trajectories of symptoms and their associations with unplanned 30-day hospital readmission among patients with heart failure: a longitudinal study. Eur J Cardiovasc Nurs 2024; 23:737-745. [PMID: 38507650 DOI: 10.1093/eurjcn/zvae038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Revised: 03/03/2024] [Accepted: 03/17/2024] [Indexed: 03/22/2024]
Abstract
AIMS This study aimed to uncover hidden patterns and predictors of symptom multi-trajectories within 30 days after discharge in patients with heart failure and assess the risk of unplanned 30-day hospital readmission in different patterns. METHODS AND RESULTS The study was conducted from September 2022 to September 2023 in four third-class hospitals in Tianjin, China. A total of 301 patients with heart failure were enrolled in the cohort, and 248 patients completed a 30-day follow-up after discharge. Three multi-trajectory groups were identified: mild symptom status (24.19%), moderate symptom status (57.26%), and severe symptom status (18.55%). With the mild symptom status group as a reference, physical frailty, psychological frailty, and comorbid renal dysfunction were predictors of the moderate symptom status group. Physical frailty, psychological frailty, resilience, taking diuretics, and comorbid renal dysfunction were predictors of the severe symptom status group. Compared with the mild symptom status group, the severe symptom status group was significantly associated with high unplanned 30-day hospital readmission risks. CONCLUSION This study identified three distinct multi-trajectory groups among patients with heart failure within 30 days after discharge. The severe symptom status group was associated with a significantly increased risk of unplanned 30-day hospital readmission. Common and different factors predicted different symptom multi-trajectories. Healthcare providers should assess the physical and psychological frailty and renal dysfunction of patients with heart failure before discharge. Inpatient care aimed at alleviating physical and psychological frailty and enhancing resilience may be important to improve patients' symptom development post-discharge.
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Affiliation(s)
- Qingyun Lv
- School of Nursing, Tianjin Medical University, 22 Qixiangtai Road, Tianjin 300070, PR China
| | - Xiaonan Zhang
- School of Nursing, Tianjin Medical University, 22 Qixiangtai Road, Tianjin 300070, PR China
| | - Yaqi Wang
- School of Nursing, Tianjin Medical University, 22 Qixiangtai Road, Tianjin 300070, PR China
| | - Xueying Xu
- School of Nursing, Tianjin Medical University, 22 Qixiangtai Road, Tianjin 300070, PR China
| | - Yuan He
- School of Nursing, Tianjin Medical University, 22 Qixiangtai Road, Tianjin 300070, PR China
| | - Jingwen Liu
- School of Nursing, Tianjin Medical University, 22 Qixiangtai Road, Tianjin 300070, PR China
| | - Hairong Chang
- School of Nursing, Tianjin Medical University, 22 Qixiangtai Road, Tianjin 300070, PR China
| | | | - Xiaoying Zang
- School of Nursing, Tianjin Medical University, 22 Qixiangtai Road, Tianjin 300070, PR China
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Stutsman N, Habecker B, Pavlovic N, Jurgens CY, Woodward WR, Lee CS, Denfeld QE. Sympathetic dysfunction is associated with worse fatigue and early and subtle symptoms in heart failure: an exploratory sex-stratified analysis. Eur J Cardiovasc Nurs 2024; 23:532-539. [PMID: 38196102 PMCID: PMC11257751 DOI: 10.1093/eurjcn/zvad121] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Revised: 11/20/2023] [Accepted: 11/21/2023] [Indexed: 01/11/2024]
Abstract
AIMS Physical symptoms impact patients with heart failure (HF) despite treatment advancements; however, our understanding of the pathogenic mechanisms underlying HF symptoms remains limited, including sex differences therein. The objective of this study was to quantify associations between sympathetic markers [norepinephrine (NE) and 3,4-dihydroxyphenylglycol (DHPG)] and physical symptoms in patients with HF and to explore sex differences in these associations. METHODS AND RESULTS We performed a secondary analysis of combined data from two studies: outpatients with HF (n = 111), and patients prior to left ventricular assist device implantation (n = 38). Physical symptoms were measured with the Heart Failure Somatic Perception Scale (HFSPS) dyspnoea and early/subtle symptom subscales and the Functional Assessment in Chronic Illness Therapy Fatigue Scale (FACIT-F) to capture dyspnoea, early symptoms of decompensation, and fatigue. Norepinephrine and DHPG were measured with high-performance liquid chromatography with electrochemical detection. Multivariate linear regression was used to quantify associations between symptoms and sympathetic markers. The sample (n = 149) was 60.8 ± 15.7 years, 41% women, and 71% non-ischaemic aetiology. Increased plasma NE and NE:DHPG ratio were associated with worse FACIT-F scores (P = 0.043 and P = 0.013, respectively). Increased plasma NE:DHPG ratio was associated with worse HFSPS early/subtle symptoms (P = 0.025). In sex-stratified analyses, increased NE:DHPG ratio was associated with worse FACIT-F scores (P = 0.011) and HFSPS early/subtle scores (P = 0.022) among women but not men. CONCLUSION In patients with HF, sympathetic dysfunction is associated with worse fatigue and early/subtle physical symptoms with associations stronger in women than men.
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Affiliation(s)
- Nina Stutsman
- Oregon Health & Science University, School of Nursing, 3455 SW U.S. Veteran’s Hospital Road, Portland, OR 97239, USA
| | - Beth Habecker
- Oregon Health & Science University, Knight Cardiovascular Institute, 3181 SW Sam Jackson Park Road, Portland, OR 97239, USA
- Department of Chemical Physiology and Biochemistry, Oregon Health & Science University, 3181 SW Sam Jackson Park Road, Portland, OR 97239, USA
| | - Noelle Pavlovic
- Johns Hopkins School of Public Health, 615 N Wolfe Street, Baltimore, MD 21205, USA
| | - Corrine Y Jurgens
- Boston College, William F. Connell School of Nursing, 140 Commonwealth Avenue, Chestnut Hill, MA 02467, USA
| | - William R Woodward
- Department of Chemical Physiology and Biochemistry, Oregon Health & Science University, 3181 SW Sam Jackson Park Road, Portland, OR 97239, USA
| | - Christopher S Lee
- Boston College, William F. Connell School of Nursing, 140 Commonwealth Avenue, Chestnut Hill, MA 02467, USA
- Australian Catholic University, 115 Victoria Parade, Fitzroy, VIC 3065, Australia
| | - Quin E Denfeld
- Oregon Health & Science University, School of Nursing, 3455 SW U.S. Veteran’s Hospital Road, Portland, OR 97239, USA
- Oregon Health & Science University, Knight Cardiovascular Institute, 3181 SW Sam Jackson Park Road, Portland, OR 97239, USA
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Koons B, Aryal S, Blumenthal N, Courtwright A, O'Connor M, Christie JD, Singer JP, Riegel B. Mismatch identified in symptom burden profiles in lung transplantation. Heart Lung 2023; 59:165-172. [PMID: 36841013 PMCID: PMC10072907 DOI: 10.1016/j.hrtlng.2023.02.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Revised: 02/13/2023] [Accepted: 02/13/2023] [Indexed: 02/27/2023]
Abstract
BACKGROUND There is considerable heterogeneity in symptom burden among lung transplant candidates that may not be explained by objective measures of illness severity. OBJECTIVES This study aimed to characterize symptom burden, identify distinct profiles based on symptom burden and illness severity, and determine whether observed profiles are defined by differences in social determinates of health (SDOH). METHODS This was a prospective study of adult lung transplant candidates. Symptoms were assessed within 3 months of transplant with the Memorial Symptom Assessment Scale (MSAS). MSAS subscale (physical and psychological) scores range 0-4 (higher=more symptom burden). The lung allocation score (LAS) (range 0-100) was our proxy measure of illness severity. The MSAS subscales and LAS were used as continuous indicators in a latent profile analysis to identify distinct symptom-illness severity profiles. Comparative statistics were used to identify SDOH differences among observed profiles. RESULTS Among 93 candidates, 3 distinct symptom-illness severity profiles were identified: 71% had a mild profile in which mild symptoms (MSAS physical 0.49; MSAS psychological 0.57) paired with mild illness severity (LAS 38.59). Of the 29% mismatched participants, 9% had moderate symptoms (MSAS physical 0.88; MSAS psychological 1.47) but severe illness severity (LAS 88.02) and 20% had severe symptoms (MSAS physical 1.30; MSAS psychological 1.94) but mild illness severity (LAS 42.13). The two mismatch profiles were younger, more racially diverse, and had higher psychosocial risk scores. CONCLUSION Symptom burden is heterogenous, does not always reflect objective measures of illness severity, and may be linked to SDOH.
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Affiliation(s)
- Brittany Koons
- M. Louise Fitzpatrick College of Nursing, Villanova University, Villanova, PA, United States.
| | - Subhash Aryal
- School of Nursing, University of Pennsylvania, Philadelphia, Pennsylvania, United States
| | - Nancy Blumenthal
- School of Nursing, University of Pennsylvania, Philadelphia, Pennsylvania, United States
| | - Andrew Courtwright
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, University of Pennsylvania, Perelman School of Medicine, Philadelphia, Pennsylvania, United States
| | - Melissa O'Connor
- M. Louise Fitzpatrick College of Nursing, Villanova University, Villanova, PA, United States
| | - Jason D Christie
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, University of Pennsylvania, Perelman School of Medicine, Philadelphia, Pennsylvania, United States
| | - Jonathan P Singer
- Division of Pulmonary and Critical Care, Department of Medicine, University of California, San Francisco, School of Medicine, San Francisco, California, United States
| | - Barbara Riegel
- School of Nursing, University of Pennsylvania, Philadelphia, Pennsylvania, United States
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Dong B, Yao Y, Xue R, Liang W, He J, Wei F, Dong Y, He X, Liu C. Distinct implications of body mass index in different subgroups of nonobese patients with heart failure with preserved ejection fraction: a latent class analysis of data from the TOPCAT trial. BMC Med 2022; 20:423. [PMID: 36324141 PMCID: PMC9632105 DOI: 10.1186/s12916-022-02626-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/06/2022] [Accepted: 10/24/2022] [Indexed: 11/08/2022] Open
Abstract
BACKGROUND Obesity is a well-defined risk factor for heart failure with preserved ejection fraction (HFpEF), but it is associated with a better prognosis in patients with diagnosed HFpEF. The paradoxically poor prognosis in nonobese patients with HFpEF may be driven by a subset of high-risk patients, which suggests that the nonobese HFpEF subpopulation is heterogeneous. METHODS Latent class analysis (LCA) was adopted to identify the potential subgroups of 623 nonobese patients enrolled in the TOPCAT trial. The baseline characteristics of the identified nonobese subgroups were compared with each other and with the obese patients. The risks of all-cause, cardiovascular, and noncardiovascular mortality, and an HF composite outcome were also compared. RESULTS Two subgroups of nonobese patients with HFpEF (the physiological non-obesity and the pathological non-obesity) were identified. The obese patients were younger than both nonobese subgroups. The clinical profile of patients with pathological non-obesity was poorer than that of patients with physiological non-obesity. They had more comorbidities, more severe HF, poorer quality of life, and lower levels of physical activity. Patients with pathological non-obesity showed low serum hemoglobin and albumin levels. After 2 years of follow-up, more patients in the pathological group lost ≥ 10% of body weight compared with those in the physiological group (11.34% vs. 4.19%, P = 0.009). The prognostic implications of the two subgroups were opposite. Compared to patients with obesity, patients with physiological non-obesity had a 47% decrease in the risk of HF composite outcome (hazard ratio [HR] 0.53, 95% confidence interval [CI] 0.40-0.70, P<0.001) and a trend of decreased all-cause mortality risk (HR 0.75, 95% CI 0.55-1.01, P=0.06), while patients with pathological non-obesity had a 59% increase (HR 1.59, 95% CI 1.24-2.02, P<0.001) in all-cause mortality risk. CONCLUSIONS Two subgroups of nonobese patients with HFpEF with distinct clinical profiles and prognostic implications were identified. The low BMI was likely physiological in one group but pathological in the other group. Using a data-driven approach, our study provided an alternative explanation for the "obesity paradox" that the poor prognosis of nonobese patients with HFpEF was driven by a pathological subgroup.
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Affiliation(s)
- Bin Dong
- Department of Cardiology, The First Affiliated Hospital of Sun Yat-sen University, 58 Zhongshan 2nd Road, Guangzhou, 510080, China.,NHC Key Laboratory of Assisted Circulation (Sun Yat-sen University), Guangzhou, China.,National - Guangdong Joint Engineering Laboratory for Diagnosis and Treatment of Vascular Diseases, Guangzhou, China
| | - Yiling Yao
- Department of Cardiology, The First Affiliated Hospital of Sun Yat-sen University, 58 Zhongshan 2nd Road, Guangzhou, 510080, China.,NHC Key Laboratory of Assisted Circulation (Sun Yat-sen University), Guangzhou, China.,National - Guangdong Joint Engineering Laboratory for Diagnosis and Treatment of Vascular Diseases, Guangzhou, China
| | - Ruicong Xue
- Department of Cardiology, The First Affiliated Hospital of Sun Yat-sen University, 58 Zhongshan 2nd Road, Guangzhou, 510080, China.,NHC Key Laboratory of Assisted Circulation (Sun Yat-sen University), Guangzhou, China.,National - Guangdong Joint Engineering Laboratory for Diagnosis and Treatment of Vascular Diseases, Guangzhou, China
| | - Weihao Liang
- Department of Cardiology, The First Affiliated Hospital of Sun Yat-sen University, 58 Zhongshan 2nd Road, Guangzhou, 510080, China.,NHC Key Laboratory of Assisted Circulation (Sun Yat-sen University), Guangzhou, China.,National - Guangdong Joint Engineering Laboratory for Diagnosis and Treatment of Vascular Diseases, Guangzhou, China
| | - Jiangui He
- Department of Cardiology, The First Affiliated Hospital of Sun Yat-sen University, 58 Zhongshan 2nd Road, Guangzhou, 510080, China.,NHC Key Laboratory of Assisted Circulation (Sun Yat-sen University), Guangzhou, China.,National - Guangdong Joint Engineering Laboratory for Diagnosis and Treatment of Vascular Diseases, Guangzhou, China
| | - Fangfei Wei
- Department of Cardiology, The First Affiliated Hospital of Sun Yat-sen University, 58 Zhongshan 2nd Road, Guangzhou, 510080, China.,NHC Key Laboratory of Assisted Circulation (Sun Yat-sen University), Guangzhou, China.,National - Guangdong Joint Engineering Laboratory for Diagnosis and Treatment of Vascular Diseases, Guangzhou, China
| | - Yugang Dong
- Department of Cardiology, The First Affiliated Hospital of Sun Yat-sen University, 58 Zhongshan 2nd Road, Guangzhou, 510080, China.,NHC Key Laboratory of Assisted Circulation (Sun Yat-sen University), Guangzhou, China.,National - Guangdong Joint Engineering Laboratory for Diagnosis and Treatment of Vascular Diseases, Guangzhou, China
| | - Xin He
- Department of Cardiology, The First Affiliated Hospital of Sun Yat-sen University, 58 Zhongshan 2nd Road, Guangzhou, 510080, China. .,NHC Key Laboratory of Assisted Circulation (Sun Yat-sen University), Guangzhou, China. .,National - Guangdong Joint Engineering Laboratory for Diagnosis and Treatment of Vascular Diseases, Guangzhou, China.
| | - Chen Liu
- Department of Cardiology, The First Affiliated Hospital of Sun Yat-sen University, 58 Zhongshan 2nd Road, Guangzhou, 510080, China. .,NHC Key Laboratory of Assisted Circulation (Sun Yat-sen University), Guangzhou, China. .,National - Guangdong Joint Engineering Laboratory for Diagnosis and Treatment of Vascular Diseases, Guangzhou, China. .,Department of Cardiology, the Affiliated Sanming First Hospital of Fujian Medical University, Sanming, China.
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Jurgens CY, Lee CS, Aycock DM, Masterson Creber R, Denfeld QE, DeVon HA, Evers LR, Jung M, Pucciarelli G, Streur MM, Konstam MA. State of the Science: The Relevance of Symptoms in Cardiovascular Disease and Research: A Scientific Statement From the American Heart Association. Circulation 2022; 146:e173-e184. [PMID: 35979825 DOI: 10.1161/cir.0000000000001089] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
Abstract
Symptoms of cardiovascular disease drive health care use and are a major contributor to quality of life. Symptoms are of fundamental significance not only to the diagnosis of cardiovascular disease and appraisal of response to medical therapy but also directly to patients' daily lives. The primary purpose of this scientific statement is to present the state of the science and relevance of symptoms associated with cardiovascular disease. Symptoms as patient-reported outcomes are reviewed in terms of the genesis, manifestation, and similarities or differences between diagnoses. Specifically, symptoms associated with acute coronary syndrome, heart failure, valvular disorders, stroke, rhythm disorders, and peripheral vascular disease are reviewed. Secondary aims include (1) describing symptom measurement methods in research and application in clinical practice and (2) describing the importance of cardiovascular disease symptoms in terms of clinical events and other patient-reported outcomes as applicable.
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Faulkner KM, Jurgens CY, Denfeld QE, Chien CV, Thompson JH, Gelow JM, Grady KL, Lee CS. Patterns and predictors of dyspnoea following left ventricular assist device implantation. Eur J Cardiovasc Nurs 2022; 21:724-731. [PMID: 35138359 PMCID: PMC9564114 DOI: 10.1093/eurjcn/zvac007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/28/2021] [Revised: 11/30/2021] [Accepted: 01/24/2022] [Indexed: 11/14/2022]
Abstract
AIMS Dyspnoea is a common symptom of heart failure (HF) that often prompts patients to seek treatment. Implantation of a left ventricular assist device (LVAD) has been associated with reduced dyspnoea but it is unclear if all patients experience similar improvements in dyspnoea over time following LVAD implantation. Our aim was to identify distinct trajectories of dyspnoea symptoms over time following LVAD implantation and predictors of dyspnoea trajectory. We hypothesized that at least two, distinct trajectories of dyspnoea would be observed following LVAD implantation. METHODS AND RESULTS This was a secondary analysis of data from the Profiling Biobehavioral Responses to Mechanical Support in Advanced Heart Failure study. In the parent study, sociodemographic and clinical data were collected prior to LVAD implantation and at 1, 3, and 6 months following LVAD implantation from a sample (n = 101) of patients with advanced HF. Latent growth mixture modelling was performed to identify distinct trajectories of dyspnoea symptoms. Backwards stepwise logistic regression was used to identify predictors of dyspnoea trajectory. Two, distinct trajectories of dyspnoea symptoms were identified: sustained improvement and unsustained improvement. Participants who experienced sustained improvement (86.7% of sample) demonstrated large, significant improvement in dyspnoea from pre-implantation to 3 months post-implant followed by smaller, non-significant improvement from 3 to 6 months. Participants who experienced unsustained improvement (13.3% of sample) demonstrated initial improvement from pre-implantation to 3 months post-implantation followed by worsening of dyspnoea from 3 to 6 months. Greater depressive symptoms at baseline and living alone were significant predictors of unsustained improvement. CONCLUSION Patients experience different patterns of dyspnoea over time following LVAD implantation. Clinicians should inquire about living arrangements and depressive symptoms at each visit to determine risk of unsustained improvement in dyspnoea.
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Affiliation(s)
- Kenneth M Faulkner
- Corresponding author. Tel: +1 631 444 3006, ; Present address. Stony Brook University School of Nursing, 101 Nicolls Road, Health Sciences Center Level 2, Stony Brook, NY 11794, USA
| | - Corrine Y Jurgens
- William F. Connell School of Nursing, Boston College, 140 Commonwealth Avenue, Maloney Hall, Chestnut Hill, MA 02467, USA
| | - Quin E Denfeld
- Oregon Health & Science University School of Nursing, 3455 SW U.S. Veterans Hospital Road, Mailcode: SN-ORD, Portland, OR 97239, USA
| | - Christopher V Chien
- University of North Carolina REX Healthcare, 2800 Blue Ridge Road, Suite 204, Raleigh, NC 27607, USA
| | - Jessica Harman Thompson
- William F. Connell School of Nursing, Boston College, 140 Commonwealth Avenue, Maloney Hall, Chestnut Hill, MA 02467, USA,University of Kentucky College of Nursing, 751 Rose Street, Lexington, KY 40536-0232, USA
| | - Jill M Gelow
- Providence Health, 9427 Southwest Barnes Road, Suite 599, Portland, OR 97225, USA
| | - Kathleen L Grady
- Northwestern University, 675 North Saint Clair Street, Arkes Pavilion, Suite 730, Chicago, IL 60611-3056, USA
| | - Christopher S Lee
- William F. Connell School of Nursing, Boston College, 140 Commonwealth Avenue, Maloney Hall, Chestnut Hill, MA 02467, USA
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Denfeld QE, Camacho SA, Dieckmann N, Hiatt SO, Davis MR, Cramer DV, Rupert A, Habecker BA, Lee CS. Background and Design of the Biological and Physiological Mechanisms of Symptom Clusters in Heart Failure (BIOMES-HF) Study. J Card Fail 2022; 28:973-981. [PMID: 35045322 DOI: 10.1016/j.cardfail.2022.01.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2021] [Revised: 01/05/2022] [Accepted: 01/06/2022] [Indexed: 10/19/2022]
Abstract
BACKGROUND Symptoms, which often cluster together, are a significant problem in heart failure (HF). There is considerable heterogeneity in symptom burden, particularly in the vulnerable transition period after a hospitalization for HF, and the biological underpinnings of symptom during transitions are unclear. The purpose of this paper is to describe the background and design of a study that addresses these knowledge gaps, entitled "Biological and Physiological Mechanisms of Symptom Clusters in Heart Failure" (BIOMES-HF). STUDY DESIGN AND METHODS BIOMES-HF is a prospective gender- and age-balanced longitudinal study of 240 adults during the 6-month transition period after a HF hospitalization. The aims are to: 1) identify clusters of change in physical symptoms, 2) quantify longitudinal associations between biomarkers and physical symptoms, and 3) quantify longitudinal associations between physical frailty and physical symptoms among adults with heart failure. We will measure multiple symptoms, biomarkers, and physical frailty at discharge and then at 1 week and 1, 3, and 6 months post-hospitalization. We will use growth mixture modeling and longitudinal mediation modeling to examine changes in symptoms, biomarkers, and physical frailty post-HF hospitalization and associations therein. CONCLUSIONS This innovative study will advance HF symptom science by utilizing a multi-biomarker panel and the physical frailty phenotype to capture the multifaceted nature of HF. Using advanced quantitative modeling, we will characterize heterogeneity and identify potential mechanisms of symptoms in HF. As a result, this research will pinpoint amenable targets for intervention to provide better, individualized treatment to improve symptom burden in HF. BRIEF LAY SUMMARY Adults with heart failure may have significant symptom burden. This study is designed to shed light on our understanding of the role of biological and physiological mechanisms in explaining heart failure symptoms, particularly groups of co-occurring symptoms, over time. We will explore how symptoms, biomarkers, and physical frailty changes after a heart failure hospitalization. The knowledge generated from this study will be used to guide the management and self-care for adults with heart failure.
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Affiliation(s)
- Quin E Denfeld
- Oregon Health & Science University School of Nursing, Portland, OR, USA; Oregon Health & Science University Knight Cardiovascular Institute Portland, OR, USA.
| | - S Albert Camacho
- Oregon Health & Science University Knight Cardiovascular Institute Portland, OR, USA
| | - Nathan Dieckmann
- Oregon Health & Science University School of Nursing, Portland, OR, USA; Oregon Health & Science University School of Medicine Division of Psychology, Portland, OR
| | - Shirin O Hiatt
- Oregon Health & Science University School of Nursing, Portland, OR, USA
| | | | - Daniela V Cramer
- Oregon Health & Science University School of Nursing, Portland, OR, USA
| | - Allissah Rupert
- Oregon Health & Science University School of Nursing, Portland, OR, USA
| | - Beth A Habecker
- Oregon Health & Science University Knight Cardiovascular Institute Portland, OR, USA; Oregon Health & Science University Department of Chemical Physiology & Biochemistry, Portland, OR, USA
| | - Christopher S Lee
- Boston College William F. Connell School of Nursing, Chestnut Hill, MA, USA; Australian Catholic University, Melbourne, Australia
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10
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Davis J, Olazo K, Sierra M, Tarver ME, Caldwell B, Saha A, Lisker S, Lyles C, Sarkar U. Do patient-reported outcome measures measure up? A qualitative study to examine perceptions and experiences with heart failure proms among diverse, low-income patients. J Patient Rep Outcomes 2022; 6:6. [PMID: 35032226 PMCID: PMC8760874 DOI: 10.1186/s41687-022-00410-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Accepted: 01/03/2022] [Indexed: 11/10/2022] Open
Abstract
Background The Kansas City Cardiomyopathy Questionnaire (KCCQ) is a Patient-Reported Outcome Measure (PROM) used to evaluate the health status of patients with heart failure (HF) but has predominantly been tested in settings serving predominately white, male, and economically well-resourced populations. We sought to examine the acceptability of the shorter version of the KCCQ (KCCQ-12) among racially and ethnically diverse patients receiving care in an urban, safety-net setting.
Methods We conducted cognitive interviews with a diverse population of patients with heart failure in a safety net system to assess their perceptions of the KCCQ-12. We conducted a thematic analysis of the qualitative data then mapped themes to the Capability, Opportunity, Motivation Model of Behavior framework. Results We interviewed 18 patients with heart failure and found that patients broadly endorsed the concepts of the KCCQ-12 with minor suggestions to improve the instrument’s content and appearance. Although patients accepted the KCCQ-12, we found that the instrument did not adequately measure aspects of health care and quality of life that patients identified as being important components of managing their heart failure. Patient-important factors of heart failure management coalesced into three main themes: social support, health care environment, and mental health. Conclusions Patients from this diverse, low-income, majority non-white population experience unique challenges and circumstances that impact their ability to manage disease. In this study, patients were receptive to the KCCQ-12 as a tool but perceived that it did not adequately capture key health components such as mental health and social relationships that deeply impact their ability to manage HF. Further study on the incorporation of social determinants of health into PROMs could make them more useful tools in evaluating and managing HF in diverse, underserved populations. Supplementary Information The online version contains supplementary material available at 10.1186/s41687-022-00410-9.
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Affiliation(s)
- Jonathan Davis
- Division of Cardiology, Department of Medicine, Zuckerberg San Francisco General Hospital, University of California, 1001 Potrero Avenue, 94110, San Francisco, CA, USA
| | - Kristan Olazo
- Division of General Internal Medicine, Department of Medicine, Zuckerberg San Francisco General Hospital, University of California San Francisco, 1001 Potrero Avenue, Building 10, Ward 13, San Francisco, CA, 94110, USA.,Center for Vulnerable Populations, Department of Medicine, University of California, San Francisco, CA, USA
| | - Maribel Sierra
- Division of General Internal Medicine, Department of Medicine, Zuckerberg San Francisco General Hospital, University of California San Francisco, 1001 Potrero Avenue, Building 10, Ward 13, San Francisco, CA, 94110, USA.,Center for Vulnerable Populations, Department of Medicine, University of California, San Francisco, CA, USA
| | - Michelle E Tarver
- Food and Drug Administration, Center for Devices and Radiological Health, Silver Spring, MD, USA
| | - Brittany Caldwell
- Food and Drug Administration, Center for Devices and Radiological Health, Silver Spring, MD, USA
| | - Anindita Saha
- Food and Drug Administration, Center for Devices and Radiological Health, Silver Spring, MD, USA
| | - Sarah Lisker
- Division of General Internal Medicine, Department of Medicine, Zuckerberg San Francisco General Hospital, University of California San Francisco, 1001 Potrero Avenue, Building 10, Ward 13, San Francisco, CA, 94110, USA.,Center for Vulnerable Populations, Department of Medicine, University of California, San Francisco, CA, USA
| | - Courtney Lyles
- Division of General Internal Medicine, Department of Medicine, Zuckerberg San Francisco General Hospital, University of California San Francisco, 1001 Potrero Avenue, Building 10, Ward 13, San Francisco, CA, 94110, USA.,Center for Vulnerable Populations, Department of Medicine, University of California, San Francisco, CA, USA.,Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA
| | - Urmimala Sarkar
- Division of General Internal Medicine, Department of Medicine, Zuckerberg San Francisco General Hospital, University of California San Francisco, 1001 Potrero Avenue, Building 10, Ward 13, San Francisco, CA, 94110, USA. .,Center for Vulnerable Populations, Department of Medicine, University of California, San Francisco, CA, USA. .,Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA.
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