Heart failure (HF) is a costly, multifaceted, and life-threatening syndrome characterized by significant morbidity and mortality. Globally, HF affects 64 million people, with a prevalence of 1%-2% of adults in the general population and an estimated incidence of 1-20 cases per 1000 person-years [1].

Sub-Saharan Africa (SSA) has no population-based data; however, in-hospital prevalence ranges from 9.4% to 42.5% [2,3]. HF in SSA mainly affects young people and middle-aged individuals, occurring in people aged between 36 and 62.4 years [4]. It poses a substantial disease burden, with high mortality, rehospitalization rates, and health care costs, primarily attributable to readmissions and prolonged hospitalization periods of 11-13 days [3,5,6].

HF contributes significantly to Ghana’s cardiovascular disease burden, with a worse prognosis and a more malignant course [7,8]. It is a leading cause of death among Ghanaian adults; yet, there is a paucity of data on the epidemiological profiles, treatment patterns, and survival rates of patients with HF in Ghana [9-11]. Single-center studies indicate a high prevalence of HF in Ghana [7,8,12].

The diagnosis of HF in most patients is primarily based on clinical manifestations due to the limited availability of diagnostic equipment. Ghana has few cardiologists, who are mainly located in tertiary hospitals [13]. In addition, there is a lack of HF education and training for physicians and nonphysician health workers. While HF management teams or multidisciplinary teams for HF management are the gold standard model for the delivery of care, these teams are nonexistent in Ghana, and most health facilities lack resources for long-term patient follow-up, such as diagnostic equipment, dedicated HF clinics, and protocols [14-17].

A national network of heart failure management teams (NNHFMT) will be established as part of the Ghana Heart Initiative’s efforts to improve cardiovascular disease care in Ghana to help mitigate the burden of HF. The NNHFMT is tasked with building the capacity of both secondary and tertiary levels of care to promptly and effectively identify and manage HF by creating heart failure management teams (HFMTs) and establishing a national registry for HF and HF clinics that will be integrated with routine clinical services to provide long-term follow-up and care. The establishment of HF clinics and a national registry will fill a significant gap in HF care and research by providing the most recent epidemiological, management patterns, and medium-term outcomes data on HF.

The primary objective of this study is to determine the epidemiological characteristics and medium-term outcomes of HF in Ghana by outlining the epidemiological and clinical characteristics of patients with HF in Ghana, identifying the underlying causes, evaluating the medium-term outcomes of HF in Ghana, and identifying the factors that predict hospitalization and mortality in patients with HF in Ghana. This study also aims to build capacity in the care of patients with HF and form the basis for a national registry for HF in Ghana.

An NNHFMT consisting of physicians, nurses, and researchers from 9 collaborating hospitals in Ghana was constituted to achieve the study objectives, with each institutional HFMT led by a cardiologist, 2 supporting cardiologists or physicians, and 2 nurses. The HFMTs will establish HF clinics and integrate them into the routine services of their hospitals; recruit patients with HF and manage them per guidelines and algorithm; and create awareness and train other personnel in the 9 centers on the diagnosis and management of HF. These institutions include 5 teaching hospitals, 3 regional hospitals, and 1 municipal hospital. They include the Korle-Bu Teaching Hospital (KBTH), Komfo Anokye Teaching Hospital (KATH), Tamale Teaching Hospital (TTH), Ho Teaching Hospital (HTH), Cape Coast Teaching Hospital (CCTH), Bono Regional Hospital, Presbyterian Hospital-Agogo, Kumasi South Hospital, and the Effia Nkwanta Regional Hospital (Figure 1) [18].

This is a prospective, multicenter, and multilevel observational study of patients with HF. Patients presenting with HF will be recruited and evaluated according to a standardized protocol. Guideline-directed treatment for HF will then be prescribed after the diagnosis has been confirmed. The study will conduct a serum N-terminal pro-brain natriuretic peptide (NT-proBNP) and transthoracic echocardiogram for all participants for free, while the cost of treatment and other investigations will be borne by study participants as in routine care. Patients will be followed up prospectively for 6 months to determine the medium-term outcomes of interventions (Figure 2).

Patients will be recruited through the collaborating institutions’ emergency rooms, admission wards, and established HF clinics from January to December 2023. The HFMTs of the 2 leading teaching hospitals in Ghana, KBTH and KATH, will be trained using a facilitators’ training manual, which will be developed from current international HF guidelines. KBTH and KATH will then provide mentorship and training to the other collaborating hospitals. The HFMT of KBTH will train members of the HFMTs from the TTH, HTH, and Effia-Nkwanta Regional Hospital, while the HFMT of KATH will also train the HFMTs of CCTH, Bono Regional Hospital, Presbyterian Hospital-Agogo, and Kumasi South Hospital. The study will begin in the KBTH and KATH in January 2023, while the other 7 sites will begin recruitment in July 2023, and all areas will end enrollment in December 2023.

Study participants will include patients aged 13 years or older who present with HF in the collaborating hospitals and consent to participate in the study. Patients with a life expectancy less than the expected duration of the registry due to non-HF comorbidities will be excluded.

Based on our estimation of a sample size of 5000 participants, we would be able to determine the mortality and hospitalization rate at 6 months with a 95% CI and a precision of ±1%. Each participating center will recruit 556 participants.

Participants will be recruited through the various departments or units of the collaborating institutions. All patients diagnosed with HF or suspected of having HF will be referred to the HFMTs for evaluation and enrollment. A total of 2 sensitization workshops will be organized at collaborating institutions during the study period: 1 before participants’ enrollment and 1 midway through participant recruitment.

Data collection comprises administering questionnaires, reviewing medical records, physical examinations, imaging investigations, including chest x-rays and echocardiography, electrocardiography, and laboratory tests. The methods for data collection in this study are identical in all locations, following standardized operating manuals and tools.

The diagnosis of HF will be made using a modified diagnostic algorithm adopted from the 2021 European Society of Cardiology Guidelines to diagnose and treat acute and chronic HF (Figure 3) [19]. The diagnosis of HF will be made based on the presence of typical symptoms of HF and objective evidence of cardiac dysfunction and categorized into three phenotypes: (1) heart failure with reduced ejection fraction (HFrEF), (2) heart failure with mildly reduced ejection fraction (HFmrEF), and (3) heart failure with preserved ejection fraction (HFpEF) based on the left ventricular ejection fraction (LVEF) [19].

All patients with typical symptoms and specific signs of HF and LVEF≤40% will be categorized as HFrEF, while patients with LVEF of 41%-49 % will be categorized as HFmrEF.

HFpEF will be diagnosed in patients presenting with typical symptoms and specific signs of HF and LVEF≥50%, the presence of elevated natriuretic peptides (NT-proBNP≥125 pg/mL), and objective evidence of cardiac structural and functional abnormalities consistent with the presence of left ventricular (LV) diastolic dysfunction or raised LV filling pressures. Objective evidence of structural or functional abnormalities includes the following:

The etiology of HF will be determined based on the history, physical examination, laboratory, electrocardiographic, echocardiographic findings, and other imaging modalities (Table 1).

A modified treatment algorithm adopted from the 2021 European Society of Cardiology Guidelines for treating acute and chronic HF (Figure 4) will be used in the treatment of patients [19].

The KoboCollect toolbox (v2022.4.4; [30]) will be used to capture data and upload it onto a cloud database that is only accessible to the principal investigator and the data manager. Collated data will be exported into SPSS (package 2016; SPSS Inc) for statistical analysis. Tables, bar charts, and pie charts will be used to present the data. For continuous variables, the central tendency and spread measures will be calculated using the mean (SD), and IQR. Categorical variables will be reported as numbers and percentages. Multivariable regression models will be used explore the relationships between variables and rehospitalization and death. We will perform a Kaplan-Meier analysis to estimate the survival and death rate of patients with HF. The Cox regression analysis will determine the relationship between the risk of death in an individual and selected variables and the significance of these variables. Missing values will be handled based on the type and frequency of missing values. A P value <.05 will be considered statistically significant.

The table of timelines (Table 2) below summarizes the key activities of the study from the start to the end of the study.

Ethical approval has been obtained from the Ethical and Institutional Review Boards of Korle-Bu Teaching Hospital (STC/IRB/000150/2022), Cape Coast Teaching Hospital (CCTHERC/EC/2023/019), Tamale Teaching Hospital (TTH/R&D/SR/229), Ho Teaching Hospital (HTH-REC (30) FC_2023), and Komfo Anokye Teaching Hospital (KATH IRB/AP/166/22). All participants will be informed about the study, its objectives, and the data collection methods. Consent will be obtained from participants who agree to be part of the study and are assured of strict confidentiality and anonymity. Participants will also be informed that participation in the study is entirely voluntary, and all the services they receive at the clinic will continue as usual whether they decide to participate or not. A unique study number will be assigned to each participant, and the collected data will be deidentified. Only the assigned unique number will be used on study documents related to participants. Participants will also be informed that they can withdraw from the study at any time they choose without consequences.

HF is one of the leading causes of hospital admissions in developing countries and is predicted to experience the most rapid growth worldwide [2,7,31,32]. This prospective study will answer many clinical questions about HF in Ghana. First, this study will address a notable data scarcity in HF care and research in Ghana by establishing a national HF registry, thus creating a vehicle for the accrual of large, comprehensive, and contemporary data encompassing the sociodemographic, clinical profiles, causes of HF, management of HF, and determinants of outcomes such as mortality and hospitalizations of patients with HF in Ghana. In addition, a national HF registry will also provide a good opportunity to evaluate adherence to current guidelines and response to treatment among patients with HF in Ghana.

Clinical registries play a crucial role in gathering real-world data, essential for developing evidence for best clinical practice, measuring outcomes, providing feedback to clinicians, and enhancing the quality of care [1,33]. HF registries, like the Swedish Heart Failure Registry, have played a significant role in advancing knowledge and improving the management of HF. Established in 2000 and implemented nationwide in Sweden by 2003, this registry has yielded valuable research outcomes that have led to notable improvements in the understanding and care of patients with HF and under-treatment detection [1]. The NAtional TUnisian REgistry of Heart Failure (NATURE-HF) contributed valuable data that have the potential to enhance the treatment and overall prognosis of individuals with HF in North Africa [34]. Valuable data were also derived from the Abeokuta Heart Failure Clinical Registry of patients presenting with acute HF in Abeokuta, Nigeria, including acute HF presenting at a relatively younger age, commoner in men, and associated with severe symptoms [35].

While the acquisition of realistic data will address the data gap, this pragmatic study will provide capacity building for the management of HF by enhancing the skills and knowledge of health care providers in diagnosing and treating HF and making diagnostic equipment, including echocardiography, electrocardiograms, and point-of-care NT-proBNP devices, available to participating hospitals. Furthermore, participating institutions’ HFMTs and HF clinics will broaden the prospect for specialist HF care and long-term follow-up in their regions.

Although numerous HF guidelines are available to aid in managing patients with HF, their generalizability presents variable challenges, as these guidelines may not be appropriate for managing HF in countries with limited health care resources [19]. Therefore, we anticipate that this study will serve as a significant milestone in establishing a standardized approach to managing HF in Ghana and the wider SSA region.

The study will address a notable void within Ghana’s ever-evolving HF care and research domain. The study will generate novel and indispensable data that will improve HF care, serve as a foundation for teaching, develop locally tailored HF guidelines, and establish HF research programs.

This pragmatic, prospective, multicenter study will generate the most extensive contemporary data on HF in Ghana. The study will also enhance the knowledge and skills of health personnel in diagnosing and managing HF. The project is also designed to establish HF clinics and provide diagnostic services as part of routine health care services in participating hospitals. This study will describe associations rather than establish causality owing to its observational design.