Literature DB >> 27034451

Systematic review of symptom clusters in cardiovascular disease.

Holli A DeVon1, Karen Vuckovic1, Catherine J Ryan1, Susan Barnason2, Julie J Zerwic1, Bunny Pozehl2, Paula Schulz2, Yaewon Seo2, Lani Zimmerman2.   

Abstract

BACKGROUND: Although individual symptoms and symptom trajectories for various cardiovascular conditions have been reported, there is limited research identifying the symptom clusters that may provide a better understanding of patients' experiences with heart disease. AIMS: To summarize the state of the science in symptom cluster research for patients with acute coronary syndrome, myocardial infarction, coronary artery bypass surgery, and heart failure through systematic review and to provide direction for the translation of symptom cluster research into the clinical setting.
METHODS: Databases were searched for articles from January 2000 through to May 2015 using MESH terms "symptoms, symptom clusters, acute coronary syndrome (ACS), myocardial infarction (MI), coronary heart disease (CHD), ischemic heart disease (IHD), heart failure (HF), coronary artery bypass surgery (CABS), cluster analyses, and latent classes." The search was limited to human studies, English language articles, and original articles investigating symptom clusters in individuals with heart disease. Fifteen studies meeting the criteria were included.
RESULTS: For patients with ACS and MI, younger persons were more likely to experience clusters with the most symptoms. Older adults were more likely to experience clusters with the lowest number of symptoms and more diffuse and milder symptom clusters that are less reflective of classic ACS presentations. For HF patients, symptom clusters frequently included physical and emotional/cognitive components; edema clustered in only three studies. Symptom expression was congruent across geographical regions and cultures.
CONCLUSIONS: The findings demonstrated similarities in symptom clusters during ACS, MI, and HF, despite multiple methods and analyses. These results may help clinicians to prepare at-risk patients for proper treatment-seeking and symptom self-management behaviors.

Entities:  

Keywords:  Symptom clusters; acute coronary syndrome; coronary heart disease; heart failure; myocardial infarction; symptoms

Mesh:

Year:  2016        PMID: 27034451     DOI: 10.1177/1474515116642594

Source DB:  PubMed          Journal:  Eur J Cardiovasc Nurs        ISSN: 1474-5151            Impact factor:   3.908


  16 in total

1.  Multisymptom Profile Predicts Increased Risk of Poor Outcomes After Initial Placement of Implantable Cardioverter Defibrillator.

Authors:  Megan M Streur; Elaine A Thompson; Cynthia M Dougherty
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2.  Characterizing shared and distinct symptom clusters in common chronic conditions through natural language processing of nursing notes.

Authors:  Theresa A Koleck; Maxim Topaz; Nicholas P Tatonetti; Maureen George; Christine Miaskowski; Arlene Smaldone; Suzanne Bakken
Journal:  Res Nurs Health       Date:  2021-10-12       Impact factor: 2.228

3.  Characterizing fatigue phenotypes with other symptoms and clinically relevant outcomes among people with multiple sclerosis.

Authors:  Matthew Plow; Douglas D Gunzler; Julia H C Chang
Journal:  Qual Life Res       Date:  2022-08-18       Impact factor: 3.440

4.  Characterization of Symptoms and Symptom Clusters for Type 2 Diabetes Using a Large Nationwide Electronic Health Record Database.

Authors:  Veronica Brady; Meagan Whisenant; Xueying Wang; Vi K Ly; Gen Zhu; David Aguilar; Hulin Wu
Journal:  Diabetes Spectr       Date:  2022-01-11

Review 5.  Patient-centred approaches for the management of unpleasant symptoms in kidney disease.

Authors:  Kamyar Kalantar-Zadeh; Mark B Lockwood; Connie M Rhee; Ekamol Tantisattamo; Sharon Andreoli; Alessandro Balducci; Paul Laffin; Tess Harris; Richard Knight; Latha Kumaraswami; Vassilios Liakopoulos; Siu-Fai Lui; Sajay Kumar; Maggie Ng; Gamal Saadi; Ifeoma Ulasi; Allison Tong; Philip Kam-Tao Li
Journal:  Nat Rev Nephrol       Date:  2022-01-03       Impact factor: 42.439

6.  Cross-classification of physical and affective symptom clusters and 180-day event-free survival in moderate to advanced heart failure.

Authors:  Quin E Denfeld; Julie T Bidwell; Jill M Gelow; James O Mudd; Christopher V Chien; Shirin O Hiatt; Christopher S Lee
Journal:  Heart Lung       Date:  2019-11-18       Impact factor: 2.210

7.  Atrial fibrillation symptom clusters and associated clinical characteristics and outcomes: A cross-sectional secondary data analysis.

Authors:  Megan Streur; Sarah J Ratcliffe; David Callans; M Benjamin Shoemaker; Barbara Riegel
Journal:  Eur J Cardiovasc Nurs       Date:  2018-05-22       Impact factor: 3.908

8.  Background and Design of the Biological and Physiological Mechanisms of Symptom Clusters in Heart Failure (BIOMES-HF) Study.

Authors:  Quin E Denfeld; S Albert Camacho; Nathan Dieckmann; Shirin O Hiatt; Mary Roberts Davis; Daniela V Cramer; Allissah Rupert; Beth A Habecker; Christopher S Lee
Journal:  J Card Fail       Date:  2022-01-16       Impact factor: 6.592

9.  Characterizing Pain Leading to Emergency Medical Services Activation in Heart Failure.

Authors:  Asa B Smith; Miyeon Jung; Christopher Lee; Susan J Pressler
Journal:  J Cardiovasc Nurs       Date:  2021-12-28       Impact factor: 2.468

10.  It is not just menopause: symptom clustering in the Study of Women's Health Across the Nation.

Authors:  Siobán D Harlow; Carrie Karvonen-Gutierrez; Michael R Elliott; Irina Bondarenko; Nancy E Avis; Joyce T Bromberger; Maria Mori Brooks; Janis M Miller; Barbara D Reed
Journal:  Womens Midlife Health       Date:  2017-07-27
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