Publications by authors named "Nicholas Arnold Zwar"

Background: Given the rising incidence of cardiovascular diseases (CVDs) in Bangladesh, an improved understanding of the epidemiology of CVD risk factors is needed. Therefore, we reviewed published studies on CVD modifiable risk factors e.g.

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Background: Prediction of absolute risk of cardiovascular diseases (CVDs) has important clinical and public health significance, but the predictive ability of the available tools has not yet been tested in the rural Bangladeshi population. The present study was undertaken to test the hypothesis that both laboratory-based (Framingham equation and WHO/ISH laboratory-based charts) and non-laboratory-based tools may be used to predict CVDs on a short-term basis.

Methods: Data from a case-cohort study (52989 cohort and 439 sub-cohort participants), conducted on a rural Bangladeshi population, were analysed using modified Cox PH model with a maximum follow-up of 2.

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Objectives: To estimate the absolute cardiovascular disease (CVD) risk burden in a remote rural Bangladeshi population using the 'With' and 'Without' Cholesterol versions of the WHO/International Society of Hypertension (WHO/ISH) CVD risk assessment chart (particularly suitable for low and middle-income countries due to less reliance on laboratory testing) and to evaluate the agreement between the two approaches.

Design: Cross-sectional study using data from a large prospective cohort of the North Bengal Non-Communicable Disease Programme (NB-NCDP) of Bangladesh.

Setting: General rural population from Thakurgaon district of Bangladesh.

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Background: A group of 63708 Bangladeshi adults from a rural area were screened in 2011-12 for cardiovascular diseases (CVD) risk using a questionnaire based tool developed as part of the 'WHO CVD-RISK Management Package for low-and medium resource setting'. In the current study participants who were found to be high risk and a sample of the not high risk participants from the screening were further characterized clinically and biochemically to explore the burden and determinants of CVD risk factors in a remote rural Bangladeshi population.

Methods: The high risk participants comprised all 1170 subjects who screened positive in 2011-12 and the not high risk group comprised 563 randomly sampled participants from the 62538 who screened negative.

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Synopsis of recent research by authors named "Nicholas Arnold Zwar"

  • Nicholas Arnold Zwar's research predominantly focuses on the epidemiology and prediction of cardiovascular diseases (CVDs) in rural Bangladesh, addressing the rising prevalence of risk factors and the need for effective risk assessment tools.
  • His studies include systematic reviews and case-cohort analyses aimed at evaluating both laboratory-based and non-laboratory-based cardiovascular risk prediction models tailored for the local population.
  • Findings from his research highlight the significant burden of CVD risk factors in rural settings and underscore the importance of implementing and adapting global cardiovascular risk assessment strategies to meet the specific needs of low and middle-income countries.