10 results match your criteria: "Department of Cardiology National Heart Centre Singapore Singapore.[Affiliation]"

Article Synopsis
  • The study looked at two ways to monitor patients with heart devices: using smart devices like phones (SM-RM) and traditional bedside monitors (BM-RM).
  • It found that patients using smart devices were more likely to follow the monitoring rules and send their health data compared to those using bedside monitors.
  • Overall, the smart device method was better in terms of connection, faster data sending, and younger patients were more active in sending updates than older patients.
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Background: Most pretest probability (PTP) tools for obstructive coronary artery disease (CAD) were Western -developed. The most appropriate PTP models and the contribution of coronary artery calcium score (CACS) in Asian populations remain unknown. In a mixed Asian cohort, we compare 5 PTP models: local assessment of the heart (LAH), CAD Consortium (CAD2), risk factor-weighted clinical likelihood, the American Heart Association/American College of Cardiology and the European Society of Cardiology PTP and 3 extended versions of these models that incorporated CACS: LAH, CAD2, and the CACS-clinical likelihood.

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Article Synopsis
  • * The study found that patients with COPD had significantly higher rates of all-cause death, cardiovascular death, and heart failure compared to those without COPD, with COPD linked to a more than threefold increase in risk for these outcomes.
  • * Additionally, the use of beta blockers in COPD patients with AF was associated with lower mortality rates, suggesting potential benefits for treatment strategies in this demographic.
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Automated labelling of radiology reports using natural language processing allows for the labelling of ground truth for large datasets of radiological studies that are required for training of computer vision models. This paper explains the necessary data preprocessing steps, reviews the main methods for automated labelling and compares their performance. There are four main methods of automated labelling, namely: (1) rules-based text-matching algorithms, (2) conventional machine learning models, (3) neural network models and (4) Bidirectional Encoder Representations from Transformers (BERT) models.

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BACKGROUND Electrocardiography (ECG) may be performed as part of preparticipation sports screening. Recommendations on screening of athletes to identify individuals with previously unrecognized cardiac disease are robust; however, data guiding the preparticipation screening of unselected populations are scarce. T wave inversion (TWI) on ECG may suggest an undiagnosed cardiomyopathy.

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Article Synopsis
  • Palpitations are a frequent side effect after receiving mRNA COVID-19 vaccines, although they can vary in severity.
  • Some individuals may experience more intense symptoms that warrant additional medical evaluation.
  • A notable case involved a healthy man who had significant palpitations and an increased heart rate following both doses of the Pfizer/BioNTech vaccine, highlighting the need for further investigation.
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Obstructive sleep apnoea (OSA) is strongly associated with cardiovascular disease (CVD). However, evidence supporting this association in the Asian population is scarce. Given the differences in the epidemiology of CVD and cardiovascular risk factors, as well as differences in the availability of healthcare resources between Asian and Western countries, an Asian Pacific Society of Cardiology (APSC) working group developed consensus recommendations on the management of OSA in patients with CVD in the Asia-Pacific region.

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Objective: Chest pain scores allow emergency department (ED) physicians to identify low-risk patients for whom discharge can be safely expedited. Although these have been extensively validated in Western cohorts, data in patients of Asian heritage are lacking. This study aimed to determine the accuracy of HEART, ED Assessment of Chest Pain Score (EDACS), and Global Registry of Acute Coronary Events (GRACE) in risk-stratifying which chest pain patients are at risk of major adverse cardiovascular events within 30 days (composite of all-cause mortality, acute myocardial infarction and coronary revascularization).

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Article Synopsis
  • A study in Singapore links air pollution, specifically during haze seasons, to increased acute myocardial infarction (AMI) cases, using data from 2010-2015.
  • Researchers compared AMI cases on high pollution days (case days) to those on lower pollution days (control days), finding a 30-unit rise in air pollution coincided with a 4% increase in AMI incidence.
  • The study highlights that non-ST-segment-elevation myocardial infarctions were particularly affected, suggesting significant public health concerns around air quality and its impact on cardiovascular health during pollution events.
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