Publications by authors named "K Kalyanram"
Background: Non-laboratory-based cardiovascular risk prediction tools are feasible alternatives to laboratory-based tools in low- and middle-income countries. However, their effectiveness compared to their laboratory-based counterparts has not been adequately tested.
Aim: We compared estimates from laboratory-based and non-laboratory-based risk prediction tools in a low- and middle-income country setting.
Background: Several factors shape the neurodevelopmental trajectory. A key area of focus in neurodevelopmental research is to estimate the factors that have maximal influence on the brain and can tip the balance from typical to atypical development.
Methods: Utilizing a dissimilarity maximization algorithm on the dynamic mode decomposition (DMD) of the resting state functional MRI data, we classified subjects from the cVEDA neurodevelopmental cohort ( = 987, aged 6-23 years) into homogeneously patterned DMD (representing typical development in 809 subjects) and heterogeneously patterned DMD (indicative of atypical development in 178 subjects).
Objective: We prospectively determined incident cardiovascular events and their association with risk factors in rural India.
Methods: We followed up with 7935 adults from the Rishi Valley Prospective Cohort Study to identify incident cardiovascular events. Using Cox proportional hazards regression, we estimated hazard ratios (HRs) with 95% confidence intervals (95% CI) for associations between potential risk factors and cardiovascular events.
Aims: We compared the performance of cardiovascular risk prediction tools in rural India.
Methods And Results: We applied the World Health Organization Risk Score (WHO-RS) tools, Australian Risk Score (ARS), and Global risk (Globorisk) prediction tools to participants aged 40-74 years, without prior cardiovascular disease, in the Rishi Valley Prospective Cohort Study, Andhra Pradesh, India. Cardiovascular events during the 5-year follow-up period were identified by verbal autopsy (fatal events) or self-report (non-fatal events).
Article Synopsis
- Arsenic is a global public health risk, contaminating groundwater and crops, leading to cognitive impairments even at low exposure levels, especially in young people.
- This study analyzed data from 1,014 participants aged 6 to 23 to explore how low-level arsenic exposure affects executive function, brain structure, and connectivity using advanced neuropsychological and imaging techniques.
- Results indicated a significant negative correlation between arsenic exposure and both cognitive function and brain structure, suggesting that alterations in executive function may be partly influenced by changes in gray matter volume.