Objectives The HEART score is a clinical tool used for early risk stratification in patients presenting with chest pain in emergency settings, which facilitates prognostication. Although limited, it has been validated in several countries throughout the world. This study aimed to assess the validity of HEART score, in a Sri Lankan population, as an early assessment tool, for risk prediction of acute coronary syndrome (ACS), in patients presenting with chest pain. Methods Data was collected from 74 patients presenting to the emergency department at a tertiary care centre in Sri Lanka. HEART score was calculated for each patient retrospectively and patients were categorized into low (0-3), intermediate (4-6), and high (7-10) risk groups. The predictive accuracy of the HEART score with a diagnosis of ACS and the occurrence of major adverse cardiac events (MACE) at 6 weeks was assessed. Statistical analysis was performed using R studio. Results All patients in the low-risk group (n=8) were correctly identified as non-ACS, with no MACE. All high-risk patients (n=29) had ACS and experienced MACE. Among the intermediate risk group (n=37), 70.3% were diagnosed with ACS and 54% developed MACE at 6 weeks. Area under curve (AUC) for HEART score for a diagnosis of ACS, was 0.889 (95% CI: 0.8171-0.9609) while the AUC for occurrence of MACE was 0.9053 (95% CI: 0.8437-0.9669). Conclusions The HEART score is an effective early assessment tool which can be used in Sri Lankans, in prediction of the probability of ACS, and MACE within 6 weeks, in patients presenting with chest pain.
Neural manifolds that orchestrate walking and stopping
Walking, stopping and maintaining posture are essential motor behaviors, yet the underlying neural processes remain poorly understood. Here, we investigate neural activity behind locomotion and

