Publications by authors named "E G Colman"
Article Synopsis
- Recurrent hyperkalemia (HK) in patients with chronic kidney disease (CKD) is linked to significantly higher risks of all-cause mortality and cardiovascular (CV) issues compared to patients with normal potassium levels.
- The study involved matching 6,337 patients with recurrent HK to those with normokalemia, adjusting for relevant factors, to ensure a fair comparison.
- Findings indicated that recurrent HK is particularly detrimental, increasing risks for major adverse cardiovascular events (MACE+) and hospitalizations due to arrhythmias, affecting both the overall CKD population and those with co-occurring heart failure.
Background: This real-world evidence study compared risks of cardiovascular events in hospital settings among patients with chronic kidney disease (CKD) with and without hyperkalemia.
Methods And Results: Adults with CKD stages 3b/4 with and without hyperkalemia were identified from Optum's deidentified Market Clarity Data (January 2016-August 2022). Patients with hyperkalemia were exact and propensity score matched to patients without hyperkalemia.
We used a spatially explicit agent-based model of SARS-CoV-2 transmission combined with spatially fine-grained COVID-19 observation data from Public Health Scotland to investigate the initial rise of the Omicron (BA.1) variant of concern. We evaluated plausible scenarios for transmission rate advantage and vaccine immune escape relative to the Delta variant based on the data that would have been available at that time.
View Article and Find Full Text PDFAnimal temperament refers to the inherent behavioural and emotional characteristics of an animal, influencing how it interacts with its environment. The selection of sheep for temperament can change the temperament traits of the selected line and improve the welfare and production (reproduction, growth, immunity) of those animals. To understand the genetics that underly variation in temperament in sheep, and how selection on temperament can affect other production traits, a genome-wide association study was carried out.
View Article and Find Full Text PDFIn recent decades, the field of statistical linguistics has made significant strides, which have been fueled by the availability of data. Leveraging Twitter data, this paper explores the English and Spanish languages, investigating their rank diversity across different scales: temporal intervals (ranging from 3 to 96 h), spatial radii (spanning 3 km to over 3000 km), and grammatical word ngrams (ranging from 1-grams to 5-grams). The analysis focuses on word ngrams, examining a time period of 1 year (2014) and eight different countries.
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