Economic consequences of rheumatic heart disease: A scoping review

Primary Healthcare Workers' Awareness of Acute Rheumatic Fever & Rheumatic Heart Disease: A Study in Public Health Facilities in South Western Uganda

Introduction

Timely identification and treatment of a streptococcal throat infection prevents acute rheumatic fever (ARF) and its progression to Rheumatic Heart Disease (RHD). However, children in developing countries still present with established RHD, due to either missed, untreated or sub-optimally treated sore throats and ARF. We aimed to determine the level of knowledge, skills, and practices of primary health workers in South Western Uganda in providing care such children.

Methods

We conducted a comparative quantitative cross-sectional study to assess knowledge, practices, and skills regarding the care of a child with a sore throat, ARF, and RHD. The responses were scored against a structured guide. The Fisher's exact test and the chi-squared test with level of significance set at 0.05 were utilized to compare differences in knowledge, skills, and practices among health workers in private and public health facilities about ARF and RHD.

Results

Eighty health workers from health facilities were interviewed in Mbarara district with a median age of 29.5 years (IQR 27.34) and median duration in practice of 5 years (IQR: 2, 10). On average, there were at least 3 children with sore throats weekly. At least 95% (CI: 87.25%-98.80%) of the health worker had awareness about ARF and RHD. Only 43.75% (95% CI: 33.18%-54.91%) had good knowledge about ARF and RHD. Majority, 61.25% (95% CI: 50.03%-71.39%) did not know the proper prophylaxis and investigations for a child with ARF. There were no statistically significant differences but a clinically meaningful differentials in the level of knowledge among health workers in public and private facilities.

Conclusion

The knowledge and skill level of health workers in primary healthcare facilities about ARF and RHD in South Western Uganda remains low, with no difference between practitioners in public and private facilities.

Outcomes and care quality metrics for people living with rheumatic heart disease and atrial fibrillation in Uganda

Background

Atrial fibrillation (AF) is a common complication of rheumatic heart disease (RHD) and is challenging to treat in lower-resourced settings in which RHD remains endemic.

Objective

We characterized demographics, treatment outcomes, and factors leading to care retention for participants with RHD and AF in Uganda.

Methods

We conducted a retrospective analysis of the Uganda national RHD registry between June 2009 and May 2018. Participants with AF or atrial flutter were included. Demographics, survival, and care metrics were compared with participants without AF. Multivariable logistic regression was used to identify factors associated with retention in care among participants with AF.

Results

A total of 1530 participants with RHD were analyzed and 293 (19%) had AF. The median age was 24 (interquartile range 14-38) years. Mortality was similar in both groups (adjusted hazard ratio 1.183, P = .77) over a median follow-up of 203 (interquartile range 98-275) days. A total of 79% of AF participants were prescribed anticoagulation, and 43% were aware of their target international normalized ratio. Retention in care was higher in participants with AF (18% vs 12%, P < .01). Factors associated with decreased retention in care include New York Heart Association functional class III/IV (adjusted odds ratio [OR] 0.48, 95% confidence interval [CI] 0.30-0.76) and distance to nearest health center (adjusted OR 0.94, 95% CI 0.90-0.99). Anticoagulation prescription was associated with enhanced care retention (adjusted OR 1.86, 95% CI 1.24-2.79).

Conclusion

Participants with RHD and AF in Uganda do not experience higher mortality than those without AF. Anticoagulation prescription rates are high. Although retention in care is poor among RHD participants, those with concurrent AF are more likely to be retained.

Rheumatic Heart Disease in the Developing World

Despite recent public policy initiatives, rheumatic heart disease (RHD) remains a major source of morbidity worldwide. Rheumatic heart disease occurs as a sequela of Streptococcus pyogenes (group A streptococcal [GAS]) infection in patients with genetic susceptibility. Strategies for prevention of RHD or progression of RHD include prevention of GAS infection with community initiatives, effective treatment of GAS infection, and secondary prophylaxis with intramuscular penicillin. The cardiac surgical community has attempted to improve the availability of surgery in RHD-endemic areas with some success, and operative techniques and outcomes of valve repair continue to improve, potentially offering patients a safer, more durable operation. Innovation offers hope for a more scalable solution with improved biomaterials and transcatheter delivery technology; however, cost remains a barrier.

Research priorities for the primordial prevention of acute rheumatic fever and rheumatic heart disease by modifying the social determinants of health

The social determinants of health (SDH), such as access to income, education, housing and healthcare, strongly shape the occurrence of acute rheumatic fever (ARF) and rheumatic heart disease (RHD) at the household, community and national levels. The SDH are systemic factors that privilege some more than others and result in poverty and inequitable access to resources to support health and well-being. Primordial prevention is the modification of SDH to improve health and reduce the risk of disease acquisition and the subsequent progression to RHD. Modifying these determinants using primordial prevention strategies can reduce the risk of exposure to Group A Streptococcus, a causative agent of throat and skin infections, thereby lowering the risk of initiating ARF and its subsequent progression to RHD.This report summarises the findings of the Primordial Prevention Working Group-SDH, which was convened in November 2021 by the National Heart, Lung, and Blood Institute to assess how SDH influence the risk of developing RHD. Working group members identified a series of knowledge gaps and proposed research priorities, while recognising that community engagement and partnerships with those with lived experience will be integral to the success of these activities. Specifically, members emphasised the need for: (1) global analysis of disease incidence, prevalence and SDH characteristics concurrently to inform policy and interventions, (2) global assessment of legacy primordial prevention programmes to help inform the co-design of interventions alongside affected communities, (3) research to develop, implement and evaluate scalable primordial prevention interventions in diverse settings and (4) research to improve access to and equity of services across the RHD continuum. Addressing SDH, through the implementation of primordial prevention strategies, could have broader implications, not only improving RHD-related health outcomes but also impacting other neglected diseases in low-resource settings.

Development and validation of a predictive model for the diagnosis of rheumatic heart disease in low-income countries based on two cross-sectional studies

Objectives

We developed a questionnaire-based risk-scoring system to identify children at risk for rheumatic heart disease (RHD) in rural India. The resulting predictive model was validated in Nepal, in a population with a similar demographic profile to rural India.

Methods

The study involved 8646 students (mean age 13.0 years, 46% boys) from 20 middle and high schools in the West Midnapore district of India. The survey asked questions about the presence of different signs and symptoms of RHD. Students with possible RHD who experienced sore throat and joint pain were offered an echocardiogram to screen for RHD. Their findings were compared with randomly selected students without these symptoms. The data were analyzed to develop a predictive model for identifying RHD.

Results

Based on our univariate analyses, seven variables were used for building a predictive model. A four-variable model (joint pain plus sore throat, female sex, shortness of breath, and palpitations) best predicted the risk of RHD with a C-statistic of 0.854. A six-point scoring system developed from the model was validated among similarly aged children in Nepal.

Conclusions

A simple questionnaire-based predictive instrument could identify children at higher risk for this disease in low-income countries where RHD remains prevalent. Echocardiography could then be used in these high-risk children to detect RHD in its early stages. This may support a strategy for more effective secondary prophylaxis of RHD.

Development of a core outcome set on Traditional Chinese Medicine and for rheumatic heart disease: a study protocol

INTRODUCTION

Globally, rheumatic heart disease (RHD) is an important cause of acquired heart disease in children and adolescents. Clinical trials on RHD treatment with Traditional Chinese Medicine (TCM) or integrated medicine are gradually increasing in China. However, because the outcomes of clinical trials are subject to heterogeneity and selective reporting, similar studies cannot be merged and compared, complicating assessing the effectiveness and safety of TCM, and diminishing the value of clinical trials. Therefore, there is an urgent need to design a TCM or integrated medicine core outcome set (COS) for RHD.

METHODS AND ANALYSIS

The development of this study will take place in four stages under the direction of a multidisciplinary advisory board. (1) Establishing a comprehensive outcomes checklist through a systematic review of previously published research, retrieval of clinical trial registration centres, patient's semistructured interviews, and clinician's questionnaire surveys; (2) Screen stakeholder groups from various fields to participate in the Delphi survey; (3) Two e-Delphi surveys will be conducted to determine the outcomes of various concerned stakeholder groups; (4) Hold a face-to-face consensus meeting to develop the COS-TCM-RHD.

ETHICS AND DISSEMINATION

The ethical approval for this study has been obtained from the Tianjin University of Traditional Chinese Medicine Ethics Committee (TJUTCM-EC20210008). The findings will be disseminated in peer-reviewed journals and meetings.

TRIAL REGISTRATION NUMBER

This study has been registered at the Core Outcome Measures in Effectiveness Trials (COMET) database (Registration #1743).

Current Situation of Acute Rheumatic Fever and Rheumatic Heart Disease in Latin America and the Caribbean: A Systematic Review

Background

Rheumatic heart disease (RHD) disproportionately affects low-income and middle-income countries. Latin America and the Caribbean (LAC) have been less represented in scientific literature. We aimed to describe the epidemiology, burden and implemented screening and prevention strategies of RHD in LAC.

Methods

We systematically searched PubMed, Embase, LILACS, and SciELO from 1990 to April 2021. Observational and experimental studies that described data on the epidemiology, burden, or prevention/screening strategies of RHD, regardless of age or language, were included. The risk of bias was assessed by previously published tools depending on their study design. Pre-specified data were independently extracted and presented by each topic (epidemiology, burden, prevention/screening). PROSPERO registration number: CRD42021250043.

Results

Forty-eight studies out of 1692 non-duplicate records met the eligibility criteria. They were mainly from Brazil, observational in design, and hospital-based. Data on the epidemiology of acute rheumatic fever (ARF) was not recent (most before 2000) with studies describing decreasing incidence through the years. The prevalence of RHD was described in six studies, ranging from 0.24 to 48 per 1,000 among studies evaluating schoolchildren. Nine studies described data based on admissions, ranging from 0.04% to 7.1% in single-center studies. Twenty-four studies assessed the burden of RHD with most of them reporting mortality rates/proportions and complications such as the need for intervention, atrial fibrillation, or embolism. Six preventive strategies were identified that included educational, register-based, and/or secondary prophylaxis strategies. Three well-established echocardiographic screening studies in Brazil and Peru were identified.

Conclusions

Most ARF/RHD research in LAC comes from a single country, Brazil where preventive/screening efforts have been conducted. There was a paucity of data from several countries in the region, reflecting the need for epidemiological studies from more countries in LAC which will provide a better picture of the current situation of ARF/RHD and guide the implementation of preventive strategies.

Predicting ICU Mortality in Rheumatic Heart Disease: Comparison of XGBoost and Logistic Regression

Background

Rheumatic heart disease (RHD) accounts for a large proportion of Intensive Care Unit (ICU) deaths. Early prediction of RHD can help with timely and appropriate treatment to improve survival outcomes, and the XGBoost machine learning technology can be used to identify predictive factors; however, its use has been limited in the past. We compared the performance of logistic regression and XGBoost in predicting hospital mortality among patients with RHD from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database.

Methods

The patients with RHD in the MIMIC-IV database were divided into two groups retrospectively according to the availability of data and its clinical significance based on whether they survived or died. Backward stepwise regression was used to analyze the independent factors influencing patients with RHD, and to compare the differences between the two groups. The XGBoost algorithm and logistic regression were used to establish two prediction models, and the areas under the receiver operating characteristic curves (AUCs) and decision-curve analysis (DCA) were used to test and compare the models. Finally, DCA and the clinical impact curve (CIC) were used to validate the model.

Results

Data on 1,634 patients with RHD were analyzed, comprising 207 who died during hospitalization and 1,427 survived. According to estimated results for the two models using AUCs [0.838 (95% confidence interval = 0.786–0.891) and 0.815 (95% confidence interval = 0.765–0.865)] and DCA, the logistic regression model performed better. DCA and CIC verified that the logistic regression model had convincing predictive value.

Conclusions

We used logistic regression analysis to establish a more meaningful prediction model for the final outcome of patients with RHD. This model might be clinically useful for patients with RHD and help clinicians to provide detailed treatments and precise management.

Rheumatic Heart Disease is Missing from the Global Health Agenda

Rheumatic heart disease (RHD) is a complication of untreated throat infection by Group A beta-hemolytic streptococcus with a high prevalence among socioeconomically disadvantaged populations. Despite its high incidence and prevalence, RHD prevention is not a priority in major global health discussions. The reasons for the apparent neglect are multifactorial, including underestimated morbidity and mortality burden, underappreciated economic burden, lack of public awareness, and lack of sustainable investment. In this review, we recommend multisectoral collaboration to tackle the burden of RHD by engaging the public, health experts, and policymakers; augmenting funding for clinical care; improving distribution channels for prophylaxis, and increasing research and innovation as critical interventions to save millions of people from preventable morbidity and mortality.

Household Economic Consequences of Rheumatic Heart Disease in Uganda

Background: Rheumatic heart disease (RHD) has declined dramatically in wealthier countries in the past three decades, but it remains endemic in many lower-resourced regions and can have significant costs to households. The objective of this study was to quantify the economic burden of RHD among Ugandans affected by RHD. Methods: This was a cross-sectional cost-of-illness study that randomly sampled 87 participants and their households from the Uganda National RHD registry between December 2018 and February 2020. Using a standardized survey instrument, we asked participants and household members about outpatient and inpatient RHD costs and financial coping mechanisms incurred over the past 12 months. We used descriptive statistics to analyze levels and distributions of costs and the frequency of coping strategies. Multivariate Poisson regression models were used to assess relationships between socioeconomic characteristics and utilization of financial coping mechanisms. Results: Most participants were young or women, demonstrating a wide variation in socioeconomic status. Outpatient and inpatient costs were primarily driven by transportation, medications, and laboratory tests, with overall RHD direct and indirect costs of $78 per person-year. Between 20 and 35 percent of households experienced catastrophic healthcare expenditure, with participants in the Northern and Western Regions 5-10 times more likely to experience such hardship and utilize financial coping mechanisms than counterparts in the Central Region, a wealthier area. Increases in total RHD costs were positively correlated with increasing use of coping behaviors. Conclusion: Ugandan households affected by RHD, particularly in lower-income areas, incur out-of-pocket costs that are very high relative to income, exacerbating the poverty trap. Universal health coverage policy reforms in Uganda should include mechanisms to reduce or eliminate out-of-pocket expenditures for RHD and other chronic diseases.