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\u27 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\u27 knowledge was noted across all seven domains, individually and combined (p \u3c 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

BACTERIA AND YEASTS OF SCHIRMACHER OASIS, ANTARCTICA : TAXONOMY, BIOCHEMISTRY AND MOLECULAR BIOLOGY (15th Symposium on Polar Biology)

Water and soil samples from Schirmacher Oasis, Antarctica were found to contain a heterogenous group of psychrotrophic bacteria and yeasts. The bacteria belong to the genera Pseudomonas, Sphingobacteriwn, Micrococcus, Planococcus and Arthrobacter. The yeasts belong to the genera Rhodotorula, Bullera and Candida. Biochemical studies indicate that these psychrotrophs are capable of both translation and transcription even at 0℃ and have enzymes which are cold-active, heat-labile and freeze-thaw resistant. Carotenoid pigments which interact with the bacterial membranes have been implicated in cold adaptation. Plasmids with antibiotic resistant genes have also been detected in some of the bacteria. All the results are discussed with a view to obtain possible insight into the biological basis of adaptation of microorganisms to low temperatures

AN EXPLORATORY ASSESSMENT OF THE SUSTAINABILITY PERFORMANCE OF THE CONSTRUCTION INDUSTRY

This research aims to evaluate the sustainability performance of six India-based construction organizations by considering the triple bottom line approach to sustainability (environmental, social, and economic). First, the significant parameters for evaluating performance are identified from an extensive literature review. Second, data are collected by developing a questionnaire and carrying out a survey with selected industry experts. Subsequently, an integrated framework is developed in which item analysis examines the consistency of the data, principal component analysis determines the criteria weights, and a simple additive weighting method ranks organizations according to their performance scores. Finally, the benchmark organization is identified and its strategy has been explored. Additionally, the critical parameters in each stage of the construction supply chain are identified using the weighted mean method. The results reveal that ‘Capital Budgeting’, ‘Lifecycle Design’, ‘Use of Energy-Efficient Technology’, and ‘Cost of Waste Disposal’ are the most influential parameters in the inception, design and planning, construction and maintenance, and demolition and reverse logistics stages, respectively

A predictive model to identify patients with suspected acute coronary syndromes at high risk of cardiac arrest or in-hospital mortality: An IMMEDIATE Trial sub-study

The IMMEDIATE Trial of emergency medical service use of intravenous glucose–insulin–potassium (GIK) very early in acute coronary syndromes (ACS) showed benefit for the composite outcome of cardiac arrest or in-hospital mortality. This analysis of IMMEDIATE Trial data sought to develop a predictive model to help clinicians identify patients at highest risk for this outcome and most likely to benefit from GIK. Multivariable logistic regression was used to develop a predictive model for the composite endpoint cardiac arrest or in-hospital mortality using the 460 participants in the placebo arm of the IMMEDIATE Trial. The final model had four variables: advanced age, low systolic blood pressure, ST elevation in the presenting electrocardiogram, and duration of time since ischemic symptom onset. Predictive performance was good, with a C statistic of 0.75, as was its calibration. Stratifying patients into three risk categories based on the models predictions, there was an absolute risk reduction of 8.6% with GIK in the high-risk tertile, corresponding to 12 patients needed to treat to prevent one bad outcome. The corresponding values for the low-risk tertile were 0.8% and 125, respectively. The multivariable predictive model developed identified patients with very early ACS at high risk of cardiac arrest or death. Using this model could assist treating those with greatest potential benefit from GIK

Cardiovascular health awareness and the effect of an educational intervention on school-aged children in a rural district of India

Background and objectives: India is the second most populous country in the world and two-thirds of its population is less than 35 years old. This survey was conducted to assess the level of health awareness of cardiovascular disease in adolescent school-aged children 14–16 years old, with the goal of establishing school-based health education and development of heart-healthy lifestyle practices. Methods: A school-based survey was conducted in the rural district of West Midnapore, India between June and July of 2014. This involved a pre-evaluation of cardiovascular disease (CVD) health awareness, a short presentation on CVD, and a post-evaluation of CVD health awareness. Results: A total of 2995 students (48% response rate) from 20 schools participated in the survey. The mean age of the students in the study sample was 14.7 years, 46% were male, 53% were in the 9th grade, and the rest were in the 10th grade. After assessing students’ awareness in six domains with 20 multiple-choice questions with a maximum score of 100, the mean pre-test score was 41.1 (SD ± 10.5) and the mean post-test score was 48.1 (SD ± 16.9) (p < 0.001). Conclusions: Awareness of CVD and its risk factors was far from optimal among the adolescent school-aged children in this study. A school-based educational program may help improve awareness of CVD and reduce the future disease burden in the community. The results of this study may be useful in formulating a nationwide school health program to deal with the emerging epidemic of CVD in countries such as India

A predictive model to identify patients with suspected acute coronary syndromes at high risk of cardiac arrest or in-hospital mortality: An IMMEDIATE Trial sub-study

Background: The IMMEDIATE Trial of emergency medical service use of intravenous glucose–insulin–potassium (GIK) very early in acute coronary syndromes (ACS) showed benefit for the composite outcome of cardiac arrest or in-hospital mortality. Objectives: This analysis of IMMEDIATE Trial data sought to develop a predictive model to help clinicians identify patients at highest risk for this outcome and most likely to benefit from GIK. Methods: Multivariable logistic regression was used to develop a predictive model for the composite endpoint cardiac arrest or in-hospital mortality using the 460 participants in the placebo arm of the IMMEDIATE Trial. Results: The final model had four variables: advanced age, low systolic blood pressure, ST elevation in the presenting electrocardiogram, and duration of time since ischemic symptom onset. Predictive performance was good, with a C statistic of 0.75, as was its calibration. Stratifying patients into three risk categories based on the model's predictions, there was an absolute risk reduction of 8.6% with GIK in the high-risk tertile, corresponding to 12 patients needed to treat to prevent one bad outcome. The corresponding values for the low-risk tertile were 0.8% and 125, respectively. Conclusions: The multivariable predictive model developed identified patients with very early ACS at high risk of cardiac arrest or death. Using this model could assist treating those with greatest potential benefit from GIK

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