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.

Managing ACS during COVID-19 infection: Do not follow the traditional route.

COVID-19 pandemic is creating havoc in the world. It is also spreading in India creating a massive healthcare problem. Few major hospitals were closed down because of the spread among healthcare personnel. Management of several commonly occurring diseases needed modifications to a lesser or greater extent because of this pandemic. Management of acute coronary syndrome (ACS) also requires certain modifications. In this opinion paper an attempt has been made to give an outline of ACS management in this changed scenario.

A questionnaire survey for improving awareness of rheumatic heart disease among school-aged children in India.

OBJECTIVES: We examined the level of awareness about Rheumatic Heart Disease (RHD) among school-aged children in a rural district of India and evaluated the effects of a questionnaire-based survey in improving the level of awareness. METHODS: The study involved 8,646 students aged 10-16 years from 20 schools in West Midnapore, India which was conducted in August 2017. We examined changes in the level of awareness of RHD using a 29-point scoring system in seven domains. The baseline questionnaire survey assessed students' knowledge and was followed by a multimedia presentation about RHD and a post-intervention survey using the same questionnaire. The questionnaire included 9 questions on different aspects of RHD including prevalence, nature of disease, symptoms, determinants, treatment options, impact of the disease and diagnosis. RESULTS: The mean age of the study population was 13 years and 46% were boys. At baseline, the mean level of knowledge about RHD was 42% (12.2 out of 29 points). After the school-based presentation, the score improved to a mean of 55% (15.9 points on the 29-point scale), a 31% relative improvement. Improvement in students' knowledge was noted across all seven domains, individually and combined (p < 0.001). CONCLUSIONS: Awareness among children in rural India about RHD is modest. A school-based intervention could help in improving awareness about this chronic condition and may promote secondary prophylaxis to reduce the morbidity and mortality from RHD.