Abstract
Background:
Coronary heart disease (CHD) chronic heart failure has high morbidity and mortality, which poses a serious threat to patients’ quality of life and life safety. For the treatment of chronic heart failure of CHD, in addition to drugs, high quality nursing measures are also very important. Cluster nursing is a high-quality nursing model based on evidence-based evidence. There is no clinical study to evaluate the effect of cluster nursing on cardiac function and quality of life of CHD patients with chronic heart failure.
Methods:
This is a prospective randomized controlled trial to investigate the effects of cluster nursing on cardiac function and quality of life in patients with CHD chronic heart failure. Approved by the Clinical Research Ethics Committee of our hospital, patients will be randomly assigned to either routine nursing or cluster nursing. They will be followed up for 3 months after 4 weeks of treatment. Observation indicators include: The total effective rate of cardiac function improvement, Minnesota Living with Heart Failure Questionnaire, left ventricular ejection fraction, N-terminal pro-brain natriuretic peptide, 6-minute walk test, adverse reaction, etc. Data were analyzed using the statistical software package SPSS version 25.0.
Discussion:
This study will evaluate the effects of cluster nursing on cardiac function and quality of life of CHD patients with chronic heart failure. The results of this study will provide clinical basis for establishing reasonable and effective nursing programs for CHD patients with chronic heart failure.
Keywords: chronic cardiac failure, cluster nursing, coronary heart disease, protocol, randomized controlled trial
1. Introduction
With the changes in people's diet structure and life schedule, the incidence of cardiovascular diseases is increasing and it has become the deadliest disease in the world.[1,2] Chronic heart failure is the terminal stage of the development of many cardiovascular diseases.[3] According to the American epidemiological survey, there are currently 6 million patients with chronic heart failure in the United States, and this number is expected to increase to 9 million by 2030.[4] At present, there has been no breakthrough in the treatment of coronary heart disease (CHD) complicated with chronic heart failure. Due to the particularity of the disease, the quality of life of patients is seriously reduced, and life is even endangered, causing huge burden to patients and their families.[5] Therefore, how to improve the quality of life of patients, improve the state of cardiac function, and reduce the case fatality rate are the directions that clinical workers need to focus on.
The treatment of heart disease complicated with chronic heart failure cannot only rely on drugs, high-quality nursing work also plays an important role in the treatment.[6] Studies have shown that patients with CHD complicated with heart failure can enhance their therapeutic effect and improve their quality of life on the basis of routine medication combined with quality nursing.[7]
Cluster nursing is an intensive care unit idea jointly proposed by the American Institute of Health and the Association of Volunteer Hospitals. It is a nursing program that integrates a series of evidence-based nursing interventions.[8] Cluster nursing consists of 3 to 5 nursing measures with strong operability, simplicity, and easy acceptance in clinical practice, each of which has been verified by clinical practice and can effectively improve the symptoms of patients. Clinical observation shows that the synergistic effect of these interventions is better than that of a single measure.[9] At present, cluster nursing has been applied to patients after surgery and intensive care unit, and has received positive feedback.[10,11] However, there is still a lack of high-quality clinical studies to explore the impact of cluster nursing on patients with coronary heart failure. Therefore, this study will explore the effects of cluster nursing on cardiac function and quality of life in CHD patients with chronic heart failure.
2. Materials and methods
2.1. Study design
This is a prospective randomized controlled trial to study the effects of cluster nursing on cardiac function and quality of life of CHD patients with chronic heart failure. This study will follow Consolidated Standards of Reporting Trials,[12] and the flow chart is shown in Figure 1.
Figure 1.
Flow diagram.
2.2. Ethics and registration
This research scheme is in line with the Helsinki Declaration and approved by the Clinical Research Ethics Committee of our hospital. This experiment is registered in the open science framework (registration number: DOI 10.17605/OSF.IO/WQMNJ). Before being randomly divided into groups, all patients need to sign a written informed consent form, and they are free to choose whether or not to continue the trial at any time.
2.3. Sample size
The calculation of sample size is based on mean and standard deviation of scores of Minnesota Living with Heart Failure Questionnaire[13] after treatment. According to the results of the pilot study, the observation group will be 27.91 ± 4.31, and the control group will be 31.12 ± 4.85. Set α = 0.025, unilateral test, β = 0.20. According to the calculation of PASS15.0 software, 34 participants are needed in each group, the estimated withdrawal rate is 10%, so that 38 participants will be included in each group.
2.4. Patients
Inclusion criteria: ① Patients with occlusive myocardial infarction who meet the diagnostic criteria for CHD, which the stenosis rate of at least one of the main coronary arteries is more than 50%; ② Patients who are in line with the diagnostic criteria of chronic heart failure,[14,15] and Doppler ultrasound suggests that left ventricular ejection fraction <50%. ③ Age 40 to 79 years old; ④ Patients with clear awareness and good compliance; ⑤ Patients who have signed the informed consent form.
Exclusion criteria: ① Patients with other diseases such as congenital heart disease that cause heart failure; ② Patients complicated with other serious diseases such as malignant tumors; ③ Patients with the presence of other heart lesions such as severe arrhythmia; ④ Patients with severe mental illness.
2.5. Study design
Subjects meeting inclusion and exclusion criteria will be randomly assigned to control and observation groups in a 1:1 ratio using a central network randomization tool. Random sequences will be generated using SAS 9.3 software (SAS Institute, Cary, NC) by independent statisticians not involved in the treatment process and statistical analysis of the data. Randomization will be performed without any stratification. The clinical study coordinator enters the subject information on a tablet computer and is given a random number. The research assistant gets the subject assignment information from the computer. Throughout the trial, the research assistant is responsible for recruiting, screening, and assigning random numbers to those who have been enrolled in the study. None of the research assistants, intervention supervisors, or those performing statistical analysis are aware of the group assignment.
2.6. Intervention measures
Both groups will receive the same drug regimen and different care regimens during treatment.
Observation group: receive cluster nursing, including: ① expectoration nursing: Introduce the importance of expectoration to patients, improve their compliance, and correctly guide the cough method. If effective cough expectoration cannot be achieved, expectoration can be carried out by slapping the back, beating and aerosol inhalation.[16]② Walking training: Nursing staff instructs patients to walk a short distance indoors, and the time and distance of walking can be extended after patients are gradually adapted to it. During the training, patients will stop training immediately if they have dyspnea or chest pain.[17]③ Posture nursing: In order to ensure normal and smooth breathing of patients, patients’ posture should be dynamically adjusted in combination with their physical status, mainly sitting and semi-reclining.[18]④ Psychological nursing: provide psychological counseling and care to patients, eliminate their negative emotions, and encourage them to maintain their optimistic attitude.[19]⑤ Dietary guidance: Patients will be given dietary guidance to reduce the intake of stimulating food, eat less and eat more frequently, and maintain a healthy and reasonable diet.[20]
The control group will receive routine nursing mode, including daily nursing and health guidance.
2.7. Evaluation criteria and efficacy judgment
-
(1)
Main outcome indicators: ① Total rate of improvement in cardiac function (refer to the principle of clinical research on treating heart failure with new Chinese Medicine)[21]; Excellent: heart failure is essentially ameliorated or the NYHA classification increased by at least 2 levels; Valid: NYHA classification increased by 1 level; Invalid: NYHA classification remain the same before and after the treatment; Worsened: NYHA classification decrease by at least. ② Minnesota Living with Heart Failure Questionnaire,[13] the higher the score, the worse the patient's quality of life.
-
(2)
Secondary outcome indicators: left ventricular ejection fraction, N-terminal pro-brain natriuretic peptide, tumor necrosis factor-α, IL- 6, 6-minute walk test.
-
(3)
Adverse reactions: including abnormal liver and kidney function and any uncomfortable symptoms (such as dizziness, nausea, etc) during treatment.
The above observation indicators will be collected on the day before and after treatment. All patients will be followed up for 3 months, and data will be collected according to the same criteria in the first and third months.
2.8. Data collection and management
The data involved in this study will be collected by 2 research assistants, and summarize and analyze by a statistician and a data analyst. Personal information about potential and registered participants will be collected, shared, and kept in a separate storage room to protect confidentiality before and after the trial.
2.9. Statistical analysis
SPSS 25.0 (Chicago, IL) software will be used for statistical analysis of the collected data. Chi-square test will be used for counting data; measurement data is represented by , the independent sample t test is used for normal distribution, non-parametric test is used for skewness distribution. When P < .05, the difference is statistically significant.
3. Discussion
CHD chronic heart failure is characterized by prolonged disease and poor prognosis, which has a serious impact on the quality of life of patients and even endangers their lives. High-quality nursing is the basis to ensure the therapeutic effect.[22,23]
Cluster nursing standardizes various nursing processes based on evidence-based evidence, which can reduce the causes of heart failure, reduce the cardiac load of patients, improve the condition of patients, restore the quality of life of patients, and improve the prognosis of patients.[24,25] However, due to few clinical studies on related topics, cluster nursing has not been widely used in clinical nursing of CHD chronic heart failure. Therefore, this study will explore the impact of cluster nursing on the cardiac function and quality of life of CHD patients with chronic heart failure. At the same time, this study has the following limitations: as this is a single-center randomized controlled study, the included population is regionalized, and the results may be biased to some extent; due to the factors of the intervention program, this study could not achieve strict double blindness, which may have some influence on the results.
Author contributions
Data curation: Qian Jin, Yi Zhou.
Formal analysis: Qian Jin, Delu Yin.
Funding acquisition: Yiling Wu.
Investigation: Qian Jin, Hong He.
Resources: Yi Zhou, Delu Yin.
Supervision: Yiling Wu, Delu Yin.
Writing – review & editing: Yonghua Liu, Yiling Wu.
Writing - review & editing: Yonghua Liu, Yiling Wu.
Footnotes
Abbreviation: CHD = coronary heart disease.
How to cite this article: Jin Q, Zhou Y, Yin D, He H, Liu Y, Wu Y. Effects of cluster nursing on cardiac function and quality of life in coronary heart disease patients with chronic heart failure: a protocol of randomized controlled trial. Medicine. 2022;101:14(e29091).
Trial registration: OSF Registration number: DOI 10.17605/OSF.IO/WQMNJ.
This work is supported by Medical Scientific Research Project of Jiangsu Provincial Health Commission in 2020 (No. ZDB2020029) and by the Lianyungang First People's Hospital Youth Talent Fund Project (No. QN1802).
Informed consent has been obtained from the patient and approval has been obtained from the ethics committee.
This study has been approved by the Ethics committee.
The authors have no conflicts of interest to disclose.
Data sharing not applicable to this article as no datasets were generated or analyzed during the current study.
Contributor Information
Qian Jin, Email: 1326491@163.com.
Yi Zhou, Email: wqz2820@163.com.
Delu Yin, Email: taoxianming123@163.com.
Hong He, Email: yixue_dr2008@163.com.
Yonghua Liu, Email: quankeyixue_h@yeah.net.
Yiling Wu, Email: wyl18961326491@163.com.
References
- [1].Stevens W, Peneva D, Li JZ, et al. Estimating the future burden of cardiovascular disease and the value of lipid and blood pressure control therapies in China. BMC Health Serv Res 2016;16:175. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [2].GBD 2013 Mortality and Causes of Death Collaborators. Global, regional, and national age-sex specific all-cause and cause-specific mortality for 240 causes of death, 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet 2015;385:117–71. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [3].Dick SA, Epelman S. Chronic heart failure and inflammation: what do we really know? Circ Res 2016;119:159–76. [DOI] [PubMed] [Google Scholar]
- [4].Heidenreich PA, Albert NM, Allen LA, et al. Forecasting the impact of heart failure in the United States: a policy statement from the American Heart Association. Circ Heart Fail 2013;6:606–19. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [5].Ramani GV, Uber PA, Mehra MR. Chronic heart failure: contemporary diagnosis and management. Mayo Clin Proc 2010;85:180–95. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [6].Rymer JA, Rao SV. Anemia and coronary artery disease: pathophysiology, prognosis, and treatment. Coron Artery Dis 2018;29:161–7. [DOI] [PubMed] [Google Scholar]
- [7].Allen JK, Dennison CR. Randomized trials of nursing interventions for secondary prevention in patients with coronary artery disease and heart failure: systematic review. J Cardiovasc Nurs 2010;25:207–20. [DOI] [PubMed] [Google Scholar]
- [8].Dunn H, Quinn L, Corbridge SJ, Eldeirawi K, Kapella M, Collins EG. Cluster analysis in nursing research: an introduction, historical perspective, and future directions. West J Nurs Res 2018;40:1658–76. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [9].Payne V, Hall M, Prieto J, Johnson M. Care bundles to reduce central line-associated bloodstream infections in the neonatal unit: a systematic review and meta-analysis. Arch Dis Child Fetal Neonatal Ed 2018;103:F422–9. [DOI] [PubMed] [Google Scholar]
- [10].Chai YD, Zhang LM, Jian H, et al. The effect of integrative nursing care for prevention of deep venous thrombosis of lower extremities in patients underwent radical prostatectomy. Chin J Endourol 2021;15:488–92. [Google Scholar]
- [11].Lin HY, Li JY. Effect of cluster nursing on delirium patients in intensive care unit. Guide China Med 2021;19:146–7. [Google Scholar]
- [12].Schulz KF, Altman DG, Moher D. CONSORT 2010 statement: updated guidelines for reporting parallel group randomised trials. BMJ 2010;340:c332. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [13].Kusuma DY, Shatri H, Alwi I, Abdullah M. Validity and reliability studies of the Indonesian version of the Minnesota Living with Heart Failure Questionnaire (MLHFQ): quality of life questionnaire for patients with chronic heart failure. Acta Med Indones 2019;51:26–33. [PubMed] [Google Scholar]
- [14].Arnett DK, Blumenthal RS, Albert MA, et al. 2019 ACC/AHA guideline on the primary prevention of cardiovascular disease: executive summary: a report of the American College of Cardiology/American Heart Association Task Force on clinical practice guidelines. Circulation 2019;140:e563–95. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [15].Ponikowski P, Voors AA, Anker SD, et al. 2016 ESC guidelines for the diagnosis and treatment of acute and chronic heart failure: the Task Force for the diagnosis and treatment of acute and chronic heart failure of the European Society of Cardiology (ESC). Developed with the special contribution of the Heart Failure Association (HFA) of the ESC. Eur Heart J 2016;37:2129–200. [DOI] [PubMed] [Google Scholar]
- [16].Bukhari SZ, Hussain WM, Banjar AA, Fatani MI, Karima TM, Ashshi AM. Application of ventilator care bundle and its impact on ventilator associated pneumonia incidence rate in the adult intensive care unit. Saudi Med J 2012;33:278–83. [PubMed] [Google Scholar]
- [17].Nichols S, McGregor G, Breckon J, Ingle L. Current insights into exercise-based cardiac rehabilitation in patients with coronary heart disease and chronic heart failure. Int J Sports Med 2021;42:19–26. [DOI] [PubMed] [Google Scholar]
- [18].Katz S, Arish N, Rokach A, Zaltzman Y, Marcus EL. The effect of body position on pulmonary function: a systematic review. BMC Pulm Med 2018;18:159. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [19].Liguori I, Russo G, Curcio F, et al. Depression and chronic heart failure in the elderly: an intriguing relationship. J Geriatr Cardiol 2018;15:451–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [20].Kalantar-Zadeh K, Joshi S, Schlueter R, et al. Plant-dominant low-protein diet for conservative management of chronic kidney disease. Nutrients 2020;12:1931. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [21].Zheng XY. Guiding Principles for Clinical Research of New Chinese Medicine. 2002;Beijing: China Medical Science Press, 81–88. [Google Scholar]
- [22].Drissa M, Helali S, Ben Hamida Y, Drissa H. Evolutive profile and prognosis factors of chronic heart failure in a Tunisan center. Tunis Med 2018;96:869–74. [PubMed] [Google Scholar]
- [23].Health Quality Ontario. In-home care for optimizing chronic disease management in the community: an evidence-based analysis. Ont Health Technol Assess Ser 2013;13:01–65. [PMC free article] [PubMed] [Google Scholar]
- [24].Gilhooly D, Green SA, McCann C, Black N, Moonesinghe SR. Barriers and facilitators to the successful development, implementation and evaluation of care bundles in acute care in hospital: a scoping review. Implement Sci 2019;14:47. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [25].Hopper I, Easton K, Bader I, et al. Impact of a model of care for heart failure in-patients to reduce variation in care: a quality improvement project. Intern Med J 2021;51:557–64. [DOI] [PubMed] [Google Scholar]

