Chris Laing
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Digital health and artificial intelligence in kidney research: a report from the 2020 Kidney Disease Clinical Trialists (KDCT) meeting Open
The exponential growth in digital technology coupled with the global coronavirus disease 2019 pandemic is driving a profound change in the delivery of medical care and research conduct. The growing availability of electronic monitoring, el…
Exploring overcrowding trends in an inner city emergence department in the UK before and during COVID-19 epidemic Open
Background The COVID-19 pandemic and the associated lockdowns have caused significant disruptions across society, including changes in the number of emergency department (ED) visits. This study aims to investigate the impact of three pre-C…
Exploring overcrowding trends in an inner city emergence department in the UK before and during COVID-19 epidemic Open
BackgroundWe compared impact of three pre-COVID-19 interventions and of the COVID-19 UK-epidemic and the first UK national lockdown on overcrowding within University College London Hospital Emergency Department (UCLH ED). The three interve…
Exploring overcrowding trends in an inner city emergence department in the UK before and during COVID-19 epidemic Open
Background We compared impact of three pre-COVID-19 interventions and of the COVID-19 UK-epidemic and the first UK national lockdown on overcrowding within University College London Hospital Emergency Department (UCLH ED). The three interv…
Comparison of renal replacement therapy and renal recovery before and during the COVID-19 pandemic- A single centre observational study Open
Background: To compare differences in indications, management, complications and outcomes of renal replacement therapy (RRT) in COVID-19 patients compared to non-COVID critically ill patients. Methods: We conducted a retrospective observat…
View article: Developing Deep Learning Continuous Risk Models for Early Adverse Event Prediction in Electronic Health Records: an AKI Case Study
Developing Deep Learning Continuous Risk Models for Early Adverse Event Prediction in Electronic Health Records: an AKI Case Study Open
Early detection of patient deterioration is key to unlocking the potential for targeted preventative care and improving patient outcomes. This protocol describes a workflow for developing deep learning continuous risk models for early pred…
Evaluation of a digitally-enabled care pathway for acute kidney injury management in hospital emergency admissions Open
We developed a digitally enabled care pathway for acute kidney injury (AKI) management incorporating a mobile detection application, specialist clinical response team and care protocol. Clinical outcome data were collected from adults with…
View article: Risk prediction for acute kidney injury in acute medical admissions in the UK
Risk prediction for acute kidney injury in acute medical admissions in the UK Open
AKI in AMUs is common and associated with worse outcomes, with the majority of cases community acquired. Only a small proportion of patients develop hAKI. Prognostic risk factor modelling demonstrated only moderate discrimination implying …
View article: Glycine Amidinotransferase (GATM), Renal Fanconi Syndrome, and Kidney Failure
Glycine Amidinotransferase (GATM), Renal Fanconi Syndrome, and Kidney Failure Open
Background For many patients with kidney failure, the cause and underlying defect remain unknown. Here, we describe a novel mechanism of a genetic order characterized by renal Fanconi syndrome and kidney failure. Methods We clinically and …
Building motivation to participate in a quality improvement collaborative in NHS hospital trusts in Southeast England: a qualitative participatory evaluation Open
Objectives This study explores the barriers and facilitators that impact on the motivation of practitioners to participate in a quality improvement collaborative. Design A qualitative and formative evaluation using a participatory approach…
009 PP: AN EVALUATION OF A PATIENT SAFETY COLLABORATIVE USING THE PARTICIPATORY RESEARCHER IN RESIDENCE MODEL Open
Objective: To establish the motivating factors for member participation in a patient safety Breakthrough Series (BTS) Collaborative. Design: A qualitative, process-oriented, formative evaluation using a participatory approach, the Research…
View article: 76 Prophylaxis of Venous Thromboembolism: Ensuring Appropriate Prescribing and Reliable Data Collection
76 Prophylaxis of Venous Thromboembolism: Ensuring Appropriate Prescribing and Reliable Data Collection Open
Background Venous thromboembolism (VTE) is the most common preventable cause of death with safe and effective prevention measures available. Inpatients at high risk for VTE often fail to be provided prophylaxis despite clear guidelines and…
Supplementary Material for: Implementation of an Automated Primary Care Acute Kidney Injury Warning System: A Quantitative and Qualitative Review of 2 Years of Experience Open
Background: Acute kidney injury (AKI) is often detected late, leading to worse clinical outcomes. In 2012, we pioneered an AKI-alerting system for primary care clinicians (PCCs). We retrospectively analysed the alerts and evaluated PCC sat…
Supplementary Material for: Implementation of an Automated Primary Care Acute Kidney Injury Warning System: A Quantitative and Qualitative Review of 2 Years of Experience Open
Background: Acute kidney injury (AKI) is often detected late, leading to worse clinical outcomes. In 2012, we pioneered an AKI-alerting system for primary care clinicians (PCCs). We retrospectively analysed the alerts and evaluated PCC sat…