Toward the Knowledge of the Epidemiological Impact of Acute Rheumatic Fever in Italy

Background: To estimate the incidence of Acute Rheumatic Fever (ARF) in Tuscany, a region of Central Italy, evaluating the epidemiological impact of the new diagnostic guidelines, and to analyse our outcomes in the context of the Italian overview.Methods: A multicenter and retrospective study was conducted involving children <18 years old living in Tuscany and diagnosed in the period between 2010 and 2019. Two groups were established based on the new diagnostic criteria: High-Risk (HR) group patients, n = 29 and Low-Risk group patients, n = 96.Results: ARF annual incidence ranged from 0.91 to 7.33 out of 100,000 children in the analyzed period, with peak of incidence registered in 2019. The application of HR criteria led to an increase of ARF diagnosis of 30%. Among the overall cohort joint involvement was the most represented criteria (68%), followed by carditis (58%). High prevalence of subclinical carditis was observed (59%).Conclusions: Tuscany should be considered an HR geographic area and HR criteria should be used for ARF diagnosis in this region.

Preceding group A streptococcus skin and throat infections are individually associated with acute rheumatic fever: evidence from New Zealand

IntroductionAcute rheumatic fever (ARF) is usually considered a consequence of group A streptococcus (GAS) pharyngitis, with GAS skin infections not considered a major trigger. The aim was to quantify the risk of ARF following a GAS-positive skin or throat swab.MethodsThis retrospective analysis used pre-existing administrative data. Throat and skin swab data (1 866 981 swabs) from the Auckland region, New Zealand and antibiotic dispensing data were used (2010–2017). Incident ARF cases were identified using hospitalisation data (2010–2018). The risk ratio (RR) of ARF following swab collection was estimated across selected features and timeframes. Antibiotic dispensing data were linked to investigate whether this altered ARF risk following GAS detection.ResultsARF risk increased following GAS detection in a throat or skin swab. Māori and Pacific Peoples had the highest ARF risk 8–90 days following a GAS-positive throat or skin swab, compared with a GAS-negative swab. During this period, the RR for Māori and Pacific Peoples following a GAS-positive throat swab was 4.8 (95% CI 3.6 to 6.4) and following a GAS-positive skin swab, the RR was 5.1 (95% CI 1.8 to 15.0). Antibiotic dispensing was not associated with a reduction in ARF risk following GAS detection in a throat swab (antibiotics not dispensed (RR: 4.1, 95% CI 2.7 to 6.2), antibiotics dispensed (RR: 4.3, 95% CI 2.5 to 7.4) or in a skin swab (antibiotics not dispensed (RR: 3.5, 95% CI 0.9 to 13.9), antibiotics dispensed (RR: 2.0, 95% CI 0.3 to 12.1).ConclusionsA GAS-positive throat or skin swab is strongly associated with subsequent ARF, particularly for Māori and Pacific Peoples. This study provides the first population-level evidence that GAS skin infection can trigger ARF.

Echocardiography Screening for Diagnosis of Latent RHD Using Nurses: Is the Project Feasible for Nepal?

Rheumatic Heart Disease (RHD) is a preventable disease which occurs years or decades after the onset of Acute Rheumatic Fever (ARF) in childhood. The prevalence of RHD is still high in Nepal, with most cases of latent RHD concentrated in the rural, resource-limited setting. The sequelae of latent RHD cases often manifest decades later, causing a significant burden on the health system. Training of non-experts with simple protocols in such remote setting for screening of latent RHD is showing promising results worldwide. Screening of latent RHD is advocated in RHD endemic areas where early detection by echo screening can alleviate a massive burden on morbidity and mortality in the future. More research is needed to explore this possibility in the context of an endemic country like Nepal to tackle the burden of RHD.

Mitral valve thickening in acute rheumatic fever as a predictor of late valvar dysfunction

Background Rheumatic heart disease (RHD) complicating acute rheumatic fever (ARF) remains an important health problem in developing countries. No definitive diagnostic test for ARF exists and the role of Doppler echocardiography (DEC) for long-term prognostic evaluation following ARF is not well established. Objective To investigate the prognostic value of DEC in patients with ARF as a predictor of chronic valve dysfunction. Methods Prospectively enrolled patients with clinical ARF had a DEC performed soon after diagnosis and repeated at 1, 3, 6 and 12 months and thereafter at every 1–2 years. We defined chronic valve dysfunction by ≥ 3 of the following: increased valve thickening, commissure fusion, subvalvular thickening, reduced leaflet mobility, non-trivial mitral and/or aortic regurgitation. We performed univariate analysis and developed multivariate logistic regression models to identify variables that may influence evolution to RHD. p <0.05 was considered significant. Results We evaluated 70(57% men) patients, 10.8±5.6 years-old during the ARF episode and followed for 95±26 months. Chronic valve dysfunction was identified in 36(51.4%) which fulfilled criteria for RHD and 10(27.8%) of them died or underwent valve surgery. Univariate analysis showed that mitral valve thickening and presence of mitral regurgitation at baseline DEC, were associated with RHD(p<0.01). Multivariate logistic regression showed that only mitral valve thickness either as a continuous (Odds-Ratio:5.8;95%CI:1.7–19.7) or as a categorical variable (Odds-Ratio:4.04;95%CI:1.06–15.3) was an independent predictor of chronic valve dysfunction. Conclusions Mitral leaflets thickening documented at the time of diagnosis of ARF is a consistent prognostic marker for the subsequent evolution to RHD.

Mathematical Modelling of Acute Rheumatic Fever

<p>Acute rheumatic fever is a major cause of heart disease in many parts of the world. Though it is generally considered rare in developed countries, is remains a large issue in New Zealand. Of particular concern is the prevalence of acute rheumatic fever among Maori and Paci c Island peoples. In this thesis we develop a model to simulate acute rheumatic fever in a population. We discuss the use of both deterministic methods and stochastic processes. Demographics and statistics speci c to New Zealand are then used to develop the model in a way that ts speci cally to the situation in New Zealand. We also consider the introduction of treatment strategies for acute rheumatic fever and discuss how risk factors can be used to focus such strategies.</p>