Publications by authors named "N Faraday"

Introduction: Cardiac function is important to quantify for risk stratification. Although left ventricular ejection fraction (LVEF) is commonly used, and identifies patients with poor systolic function, other easily acquired measures of cardiac function are needed, particularly to stratify patients with relatively preserved LVEF. LV relative wall thickness (RWT) has been associated with adverse clinical outcomes in patients with preserved LVEF, but the clinical relevance of this observation is not known.

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  • Genetic studies have highlighted the need for more diverse research on plasma fibrinogen levels, as previous studies largely focused on Europeans, leading to gaps in understanding and missing heritability.
  • By analyzing data from whole-genome sequencing and genotype data from large cohorts, researchers identified 18 genetic loci related to fibrinogen levels, some of which are more common in African populations and include variants that may impact protein function.
  • The study's findings indicate a connection between fibrinogen levels and various health conditions, emphasizing the importance of whole-genome sequencing in discovering genetic factors in diverse populations and enhancing knowledge about fibrinogen regulation.
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Background: Continuous cardiac output monitoring is not standard practice during cardiac surgery, even though patients are at substantial risk for systemic hypoperfusion. Thus, the frequency of low cardiac output during cardiac surgery is unknown.

Methods: We conducted a prospective cohort study at a tertiary medical center from July 2021 to November 2023.

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  • Inflammation biomarkers offer crucial insights into the inflammatory processes linked to various diseases, and their sequencing can help reveal the genetic makeup of these traits.
  • A study analyzed 21 inflammation biomarkers from around 38,465 individuals, discovering 22 significant associations across 6 inflammatory traits after considering existing findings.
  • The research combined single-variant and rare variant analyses, identifying additional significant associations and highlighting the complexity and diversity of genetic influences on inflammation traits across different ancestries.
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