Economic consequences of rheumatic heart disease: A scoping review

Opara, Chinonso; Aghassibake, Negeen; Watkins, David

doi:10.1016/j.ijcard.2020.09.020

Cited by 16 publications

(14 citation statements)

References 15 publications

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“…Besides the high burden on the patients’ health, RHD also impacts the economy of each patient, their households, health systems, and governments [ 7 ]. Recently, a scoping review assessing the economic consequences of RHD, in which no studies from LAC fulfilled the eligibility criteria, concluded that most information on RHD costs comes from wealthier nations [ 75 ]. Consistent with this, our review only identified three studies from Brazil, Cuba, and Jamaica reflecting on the economic impact of RHD in the region [ 30 42 48 ].…”

Section: Discussionmentioning

confidence: 99%

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

Jaimes-Reyes¹,

Urina-Jassir²,

Urina-Triana

et al. 2022

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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. 2 Jaimes-Reyes et al.

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Section: Discussionmentioning

confidence: 99%

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

Jaimes-Reyes¹,

Urina-Jassir²,

Urina-Triana

et al. 2022

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“…The economic burden of RHD in LMICs is the least studied aspect of this issue, with few studies on this over the last three decades [28]. A study from Fiji showed a high cost of illness due to RHD [27].…”

Section: High Economic Burdenmentioning

confidence: 99%

Rheumatic Heart Disease is Missing from the Global Health Agenda

Belay

Aliyu

2021

Annals of Global Health

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“…Rheumatic heart disease (RHD) is a high priority in areas with restricted health systems (1)(2)(3), and causes approximately 250,000 deaths worldwide annually. RHD is heart damage caused by an abnormal immune response to group A streptococcal infections, which makes the morbidity and mortality of its complications a major burden for developing countries (4).…”

Section: Introductionmentioning

confidence: 99%

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

Han

Zhang

et al. 2022

Front. Cardiovasc. Med.

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BackgroundRheumatic 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.MethodsThe 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.ResultsData 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.ConclusionsWe 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.

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Economic consequences of rheumatic heart disease: A scoping review

Cited by 16 publications

References 15 publications

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

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

Rheumatic Heart Disease is Missing from the Global Health Agenda

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

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