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Publications

Artificial intelligence and clinical deterioration

Malycha J. et al, (2022), Current Opinion in Critical Care, 28, 315 - 321

Multivariable prediction models for atrial fibrillation after cardiac surgery: a systematic review protocol

Bedford J. et al, (2022)

Evaluation of a digital system to predict unplanned admissions to the intensive care unit: A mixed-methods approach

Malycha J. et al, (2022), Resuscitation Plus, 9, 100193 - 100193

Circadian variation in new-onset atrial fibrillation in patients in ICUs

Bedford JP. et al, (2022), Journal of Critical Care, 67, 1 - 2

Comparative effectiveness of common treatments for new-onset atrial fibrillation within the ICU: accounting for physiological status

Bedford J. et al, (2021), Journal of Critical Care

The haemodynamic changes associated with treatment of new-onset atrial fibrillation with amiodarone or beta blockers

Bedford J. et al, (2021)

Reply to: Trajectories of vital signs in patients with Covid-19

Redfern OC. et al, (2021), Resuscitation, 162, 451 - 452

How long do nursing staff take to measure and record patients’ vital signs observations in hospital? A time-and-motion study

Dall'Ora C. et al, (2021), International Journal of Nursing Studies, 103921 - 103921

Corrigendum to "Trajectories of vital signs in patients with COVID-19" [Resuscitation 156 (2020) 99-106].

Pimentel MAF. et al, (2021), Resuscitation, 162, 91 - 92

Detecting Deteriorating Patients in Hospital: Development and Validation of a Novel Scoring System

Pimentel MAF. et al, (2021), American Journal of Respiratory and Critical Care Medicine

Observational study of the relationship between nurse staffing levels and compliance with mandatory nutritional assessments in hospital

Recio‐Saucedo A. et al, (2021), Journal of Human Nutrition and Dietetics

Trajectories of vital signs in patients with COVID-19

Pimentel MAF. et al, (2020), Resuscitation, 156, 99 - 106

Night work for hospital nurses and sickness absence: a retrospective study using electronic rostering systems

Dall’Ora C. et al, (2020), Chronobiology International, 1 - 8

Frailty and unplanned admissions to the intensive care unit: a retrospective cohort study in the UK

Redfern OC. et al, (2020), Intensive Care Medicine, 46, 1512 - 1513

Frailty assessment in very old intensive care patients: the Hospital Frailty Risk Score answers another question

Redfern OC. et al, (2020), Intensive Care Medicine, 46, 1516 - 1517

Prophylactic use of platelets in critically ill patients with thrombocytopaenia: A retrospective two-centre observational study

O'Bryan LJ. et al, (2020), Journal of Critical Care, 57, 157 - 167

The association between nurse staffing levels and a failure to respond to patients with deranged physiology: A retrospective observational study in the UK

Smith GB. et al, (2020), Resuscitation, 149, 202 - 208

Managing new-onset atrial fibrillation in critically ill patients: a systematic narrative review

O'Bryan LJ. et al, (2020), BMJ Open, 10, e034774 - e034774

Testing a digital system that ranks the risk of unplanned intensive care unit admission in all ward patients: protocol for a prospective observational cohort study.

Malycha J. et al, (2019), BMJ open, 9, e032429 - e032429

The association between nurse staffing levels and the timeliness of vital signs monitoring: a retrospective observational study in the UK

Redfern OC. et al, (2019), BMJ Open, 9, e032157 - e032157

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