Echocardiographic screening of pregnant women by non-physicians with remote interpretation in primary care.

BACKGROUND: Impact of heart disease (HD) on pregnancy is significant. OBJECTIVE: We aimed to evaluate the feasibility of integrating screening echocardiography (echo) into the Brazilian prenatal primary care to assess HD prevalence. METHODS: Over 13 months, 20 healthcare workers acquired simplified echo protocols, utilizing hand-held machines (GE-VSCAN), in 22 primary care centres. Consecutive pregnant women unaware of HD underwent focused echo, remotely interpreted in USA and Brazil. Major HD was defined as structural valve abnormalities, more than mild valve dysfunction, ventricular systolic dysfunction/hypertrophy, or other major abnormalities. Screen-positive women were referred for standard echo. RESULTS: At total, 1 112 women underwent screening. Mean age was 27 ± 8 years, mean gestational age 22 ± 9 weeks. Major HD was found in 100 (9.0%) patients. More than mild mitral regurgitation was observed in 47 (4.2%), tricuspid regurgitation in 11 (1.0%), mild left ventricular dysfunction in 4 (0.4%), left ventricular hypertrophy in 2 (0.2%) and suspected rheumatic heart disease in 36 (3.2%): all, with mitral valve and two with aortic valve (AV) involvement. Other AV disease was observed in 11 (10%). In 56 screen-positive women undergoing standard echo, major HD was confirmed in 45 (80.4%): RHD findings in 12 patients (all with mitral valve and two with AV disease), mitral regurgitation in 40 (14 with morphological changes, 10 suggestive of rheumatic heart disease), other AV disease in two (mild/moderate regurgitation). CONCLUSIONS: Integration of echo screening into primary prenatal care is feasible in Brazil. However, the low prevalence of severe disease urges further investigations about the effectiveness of the strategy.

Cytokine gene functional polymorphisms and phenotypic expression as predictors of evolution from latent to clinical rheumatic heart disease.

INTRODUCTION: Inflammation associated with rheumatic heart disease (RHD) is influenced by gene polymorphisms and inflammatory cytokines. There are currently no immunologic and genetic markers to discriminate latent versus clinical patients, critical to predict disease evolution. Employing machine-learning, we searched for predictors that could discriminate latent versus clinical RHD, and eventually identify latent patients that may progress to clinical disease. METHODS: A total of 212 individuals were included, 77 with latent, 100 with clinical RHD, and 35 healthy controls. Circulating levels of 27 soluble factors were evaluated using Bio-Plex ProTM® Human Cytokine Standard 27-plex assay. Gene polymorphism analyses were performed using RT-PCR for the following genes: IL2, IL4, IL6, IL10, IL17A, TNF and IL23. RESULTS: Serum levels of all cytokines were higher in clinical as compared to latent RHD patients, and in those groups than in controls. IL-4, IL-8, IL-1RA, IL-9, CCL5 and PDGF emerged in the final multivariate model as predictive factors for clinical, compared with latent RHD. IL-4, IL-8 and IL1RA had the greater power to predict clinical RHD. In univariate analysis, polymorphisms in IL2 and IL4 were associated with clinical RHD and in the logistic analysis, IL6 (GG + CG), IL10 (CT + TT), IL2 (CA + AA) and IL4 (CC) genotypes were associated with RHD. CONCLUSION: Despite higher levels of all cytokines in clinical RHD patients, IL-4, IL-8 and IL-1RA were the best predictors of clinical disease. An association of polymorphisms in IL2, IL4, IL6 and IL10 genes and clinical RHD was observed. Gene polymorphism and phenotypic expression of IL-4 accurately discriminate latent versus clinical RHD, potentially instructing clinical management.