Publications by authors named "A S McColl"
Background: Hospital electronic patient records (EPRs) offer the opportunity to exploit large-scale routinely acquired data at relatively low cost and without selection. EPRs provide considerably richer data, and in real-time, than retrospective administrative data sets in which clinical complexity is often poorly captured. With population ageing, a wide range of hospital specialties now manage older people with multimorbidity, frailty and associated poor outcomes.
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- - The study investigated the link between hospital admissions for delirium/infection and the risk of developing dementia over five years in patients with transient ischaemic attack (TIA) or minor stroke, while considering the severity of cerebral white matter disease (WMD) on brain imaging.
- - Involving 1,369 participants from the Oxford Vascular Study, researchers assessed hospitalisation data and dementia diagnoses using clinical evaluations and Electronic Patient Records, alongside categorizing WMD into groups based on severity.
- - Findings showed that 15% of participants developed dementia during the study period, highlighting that hospital admissions for delirium and infection, particularly in patients with moderate to severe WMD, were important factors influencing dementia risk.
Background: Multimorbidity is common in patients with stroke and is associated with increased medium- to long-term mortality, but its value for clinical decision-making and case-mix adjustment will depend on other factors, such as age, stroke severity, etiological subtype, prior disability, and vascular risk factors.
Aims: In the absence of previous studies, we related multimorbidity to long-term post-stroke mortality with stratification by these factors.
Methods: In patients ascertained in a population-based stroke incidence study (Oxford Vascular Study; 2002-2017), we related pre-stroke multimorbidity (weighted/unweighted Charlson comorbidity index (CCI)) to all-cause/vascular/non-vascular mortality (1/5/10 years) using regression models adjusted/stratified by age, sex, predicted early outcome (THRIVE score), stroke severity (NIH stroke scale (NIHSS)), etiology (Trial of Org 10172 in Acute Stroke Treatment (TOAST)), premorbid disability (modified Rankin Scale (mRS)), and non-CCI risk factors (hypertension, hyperlipidemia, atrial fibrillation, smoking, deprivation, anxiety/depression).
Objectives: Individuals with spinal cord injury deal with multiple health complications that require them to use many medications. The purpose of this paper was to find the most common potentially harmful drug-drug interactions (DDIs) in therapeutic regimens of persons with spinal cord injury, and the risk factors associated with it. We further highlight the relevance of each of the DDIs specific to spinal cord injury population.
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