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Jeffcote T, Battistuzzo CR, Plummer MP, McNamara R, Anstey J, Bellapart J, Roach R, Chow A, Westerlund T, Delaney A, Bihari S, Bowen D, Weeden M, Trapani A, Reade M, Jeffree RL, Fitzgerald M, Gabbe BJ, O'Brien TJ, Nichol AD, Cooper DJ, Bellomo R, Udy A. PRECISION-TBI: a study protocol for a vanguard prospective cohort study to enhance understanding and management of moderate to severe traumatic brain injury in Australia. BMJ Open 2024; 14:e080614. [PMID: 38387978 PMCID: PMC10882309 DOI: 10.1136/bmjopen-2023-080614] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Accepted: 02/13/2024] [Indexed: 02/24/2024] Open
Abstract
INTRODUCTION Traumatic brain injury (TBI) is a heterogeneous condition in terms of pathophysiology and clinical course. Outcomes from moderate to severe TBI (msTBI) remain poor despite concerted research efforts. The heterogeneity of clinical management represents a barrier to progress in this area. PRECISION-TBI is a prospective, observational, cohort study that will establish a clinical research network across major neurotrauma centres in Australia. This network will enable the ongoing collection of injury and clinical management data from patients with msTBI, to quantify variations in processes of care between sites. It will also pilot high-frequency data collection and analysis techniques, novel clinical interventions, and comparative effectiveness methodology. METHODS AND ANALYSIS PRECISION-TBI will initially enrol 300 patients with msTBI with Glasgow Coma Scale (GCS) <13 requiring intensive care unit (ICU) admission for invasive neuromonitoring from 10 Australian neurotrauma centres. Demographic data and process of care data (eg, prehospital, emergency and surgical intervention variables) will be collected. Clinical data will include prehospital and emergency department vital signs, and ICU physiological variables in the form of high frequency neuromonitoring data. ICU treatment data will also be collected for specific aspects of msTBI care. Six-month extended Glasgow Outcome Scores (GOSE) will be collected as the key outcome. Statistical analysis will focus on measures of between and within-site variation. Reports documenting performance on selected key quality indicators will be provided to participating sites. ETHICS AND DISSEMINATION Ethics approval has been obtained from The Alfred Human Research Ethics Committee (Alfred Health, Melbourne, Australia). All eligible participants will be included in the study under a waiver of consent (hospital data collection) and opt-out (6 months follow-up). Brochures explaining the rationale of the study will be provided to all participants and/or an appropriate medical treatment decision-maker, who can act on the patient's behalf if they lack capacity. Study findings will be disseminated by peer-review publications. TRIAL REGISTRATION NUMBER NCT05855252.
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Affiliation(s)
- Toby Jeffcote
- Department of Intensive Care, The Alfred Hospital, Melbourne, Victoria, Australia
- Australian and New Zealand Intensive Care Research Centre, Monash University, Melbourne, Victoria, Australia
| | - Camila R Battistuzzo
- Australian and New Zealand Intensive Care Research Centre, Monash University, Melbourne, Victoria, Australia
| | - Mark P Plummer
- Department of Intensive Care, Royal Adelaide Hospital, Adelaide, South Australia, Australia
| | - Robert McNamara
- Department of Intensive Care Medicine, Royal Perth Hospital, Perth, Western Australia, Australia
| | - James Anstey
- Department of Intensive Care, The Royal Melbourne Hospital, Melbourne, Victoria, Australia
| | - Judith Bellapart
- Royal Brisbane and Women's Hospital, Brisbane, Queensland, Australia
| | - Rebecca Roach
- Department of Intensive Care, The Alfred Hospital, Melbourne, Victoria, Australia
| | - Andrew Chow
- Department of Intensive Care Medicine, John Hunter Hospital, Newcastle, New South Wales, Australia
| | - Torgeir Westerlund
- Department of Intensive Care Medicine, John Hunter Hospital, Newcastle, New South Wales, Australia
| | - Anthony Delaney
- The George Institute for Global Health, Sydney, New South Wales, Australia
- Department of Intensive Care Medicine, Royal North Shore Hospital, Sydney, New South Wales, Australia
| | - Shailesh Bihari
- Flinders Medical Centre, Bedford Park, South Australia, Australia
| | - David Bowen
- Westmead Hospital, Sydney, New South Wales, Australia
| | - Mark Weeden
- Intensive Care Unit, St George Hospital, Sydney, New South Wales, Australia
| | - Anthony Trapani
- Australian and New Zealand Intensive Care Research Centre, Monash University, Melbourne, Victoria, Australia
| | - Michael Reade
- Department of Intensive Care Medicine, Royal Brisbane and Women's Hospital, Brisbane, Queensland, Australia
- Faculty of Medicine, Medical School, University of Queensland, Brisbane, Queensland, Australia
| | - Rosalind L Jeffree
- Faculty of Medicine, Medical School, University of Queensland, Brisbane, Queensland, Australia
- Neurosurgery, Royal Brisbane and Women's Hospital, Brisbane, Queensland, Australia
| | - Melinda Fitzgerald
- Curtin Health Innovation Research Institute, Curtin University Faculty of Health Sciences, Perth, Western Australia, Australia
- Perron Institute for Neurological and Translational Sciences, Nedlands, Western Australia, Australia
| | - Belinda J Gabbe
- Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Terence J O'Brien
- Department of Neurology, Alfred Hospital, Melbourne, Victoria, Australia
- Department of Neuroscience, Monash University Central Clinical School, Melbourne, Victoria, Australia
| | - Alistair D Nichol
- Department of Intensive Care, The Alfred Hospital, Melbourne, Victoria, Australia
- Australian and New Zealand Intensive Care Research Centre, Monash University, Melbourne, Victoria, Australia
| | - D James Cooper
- Australian and New Zealand Intensive Care Research Centre, Monash University, Melbourne, Victoria, Australia
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Rinaldo Bellomo
- Australian and New Zealand Intensive Care Research Centre, Monash University, Melbourne, Victoria, Australia
- Department of Intensive Care, Austin Hospital, Heidelberg, Victoria, Australia
| | - Andrew Udy
- Department of Intensive Care, The Alfred Hospital, Melbourne, Victoria, Australia
- Australian and New Zealand Intensive Care Research Centre, Monash University, Melbourne, Victoria, Australia
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Tsigaras ZA, Weeden M, McNamara R, Jeffcote T, Udy AA. The pressure reactivity index as a measure of cerebral autoregulation and its application in traumatic brain injury management. CRIT CARE RESUSC 2023; 25:229-236. [PMID: 38234328 PMCID: PMC10790019 DOI: 10.1016/j.ccrj.2023.10.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2023] [Accepted: 10/30/2023] [Indexed: 01/19/2024]
Abstract
Severe traumatic brain injury (TBI) is a major cause of morbidity and mortality globally. The Brain Trauma Foundation guidelines advocate for the maintenance of a cerebral perfusion pressure (CPP) between 60 and 70 mmHg following severe TBI. However, such a uniform goal does not account for changes in cerebral autoregulation (CA). CA refers to the complex homeostatic mechanisms by which cerebral blood flow is maintained, despite variations in mean arterial pressure and intracranial pressure. Disruption to CA has become increasingly recognised as a key mediator of secondary brain injury following severe TBI. The pressure reactivity index is calculated as the degree of statistical correlation between the slow wave components of mean arterial pressure and intracranial pressure signals and is a validated dynamic marker of CA status following brain injury. The widespread acceptance of pressure reactivity index has precipitated the consideration of individualised CPP targets or an optimal cerebral perfusion pressure (CPPopt). CPPopt represents an alternative target for cerebral haemodynamic optimisation following severe TBI, and early observational data suggest improved neurological outcomes in patients whose CPP is more proximate to CPPopt. The recent publication of a prospective randomised feasibility study of CPPopt guided therapy in TBI, suggests clinicians caring for such patients should be increasingly familiar with these concepts. In this paper, we present a narrative review of the key landmarks in the development of CPPopt and offer a summary of the evidence for CPPopt-based therapy in comparison to current standards of care.
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Affiliation(s)
| | - Mark Weeden
- St George Hospital, Kogarah, NSW 2217, Australia
| | - Robert McNamara
- Department of Intensive Care Medicine, Royal Perth Hospital, Perth, WA 6001, Australia
- School of Medicine, Curtin University, Bentley, WA 6102, Australia
| | - Toby Jeffcote
- The Alfred Hospital, Melbourne, VIC 3004, Australia
- Australian and New Zealand Intensive Care Research Centre, Monash University, Melbourne, VIC 3003, Australia
| | - Andrew A. Udy
- The Alfred Hospital, Melbourne, VIC 3004, Australia
- Australian and New Zealand Intensive Care Research Centre, Monash University, Melbourne, VIC 3003, Australia
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Griffin M, Odanovic N, McNamara R, Altin SE, Balan S, Thompson J, Young LH. Intra-Aortic Balloon Pump Exacerbates Left Ventricular Outflow Tract Obstruction in a Patient With Takotsubo and Hypertrophic Cardiomyopathy. CASE (Phila) 2023; 7:502-507. [PMID: 38197115 PMCID: PMC10772928 DOI: 10.1016/j.case.2023.07.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/11/2024]
Abstract
•Obstructive HCM with superimposed takotsubo syndrome led to shock. •The use of an IABP worsened outflow obstruction. •Putting the IABP on standby improved outflow tract gradients dramatically. •An IABP should not be used in shock with LVOT obstruction.
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Affiliation(s)
- Matthew Griffin
- Section of Cardiovascular Medicine, Yale School of Medicine, New Haven, Connecticut
- Department of Critical Care Medicine, Stanford University School of Medicine, Palo Alto, California
| | - Natalija Odanovic
- Section of Cardiovascular Medicine, Yale School of Medicine, New Haven, Connecticut
- Institute for Cardiovascular Diseases “Dedinje”, Belgrade, Serbia
| | - Robert McNamara
- Section of Cardiovascular Medicine, Yale School of Medicine, New Haven, Connecticut
| | - S. Elissa Altin
- Section of Cardiovascular Medicine, Yale School of Medicine, New Haven, Connecticut
| | - Samantha Balan
- Section of Cardiovascular Medicine, Yale School of Medicine, New Haven, Connecticut
| | - Jazmyn Thompson
- Section of Cardiovascular Medicine, Yale School of Medicine, New Haven, Connecticut
| | - Lawrence H. Young
- Section of Cardiovascular Medicine, Yale School of Medicine, New Haven, Connecticut
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Truong A, Kablinger A, Hartman C, Hartman D, West J, Hanlon A, Lozano A, McNamara R, Seidel R, Trestman R. Noninferiority Clinical Trial of Adapted START NOW Psychotherapy for Outpatient Opioid Treatment. Res Sq 2023:rs.3.rs-3229052. [PMID: 37609219 PMCID: PMC10441517 DOI: 10.21203/rs.3.rs-3229052/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/24/2023]
Abstract
Background Medications for opioid use disorder (MOUD) such as buprenorphine is effective for treating opioid use disorder (OUD). START NOW (SN) is a manualized, skills-based group psychotherapy originally developed and validated for the correctional population and has been shown to result in reduced risk of disciplinary infractions and future psychiatric inpatient days with a dose response effect. We investigate whether adapted START NOW is effective for treating OUD in a MOUD office-based opioid treatment (OBOT) setting in this non-inferiority clinical trial. Methods Patients enrolled in once weekly buprenorphine/suboxone MOUD OBOT were eligible for enrollment in this study. Participants were cluster-randomized, individually-randomized, or not randomized into either START NOW psychotherapy or treatment-as-usual (TAU) for 32 weeks of therapy. Treatment effectiveness was measured as the number of groups attended, treatment duration, intensity of attendance, and overall drug use as determined by drug screens. Results 137 participants were quasi-randomized to participate in SN (n = 79) or TAU (n = 58). Participants receiving START NOW psychotherapy, when compared to TAU, had comparable number of groups attended (16.5 vs. 16.7, p = 0.80), treatment duration in weeks (24.1 vs. 23.8, p = 0.62), and intensity defined by number of groups attended divided by the number of weeks to last group (0.71 vs. 0.71, p = 0.90). SN compared to TAU also had similar rates of any positive drug screen result (81.0% vs. 91.4%, p = 0.16). This suggests that adapted START NOW is noninferior to TAU, or the standard of care at our institution, for treating opioid use disorder. Conclusion Adapted START NOW is an effective psychotherapy for treating OUD when paired with buprenorphine/naloxone in the outpatient group therapy setting. Always free and publicly available, START NOW psychotherapy, along with its clinician manual and training materials, are easily accessible and distributable and may be especially useful for low-resource settings in need of evidence-based psychotherapy.
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McNamara R, Meka S, Anstey J, Fatovich D, Haseler L, Jeffcote T, Udy A, Bellomo R, Fitzgerald M. Development of Traumatic Brain Injury Associated Intracranial Hypertension Prediction Algorithms: A Narrative Review. J Neurotrauma 2023; 40:416-434. [PMID: 36205570 PMCID: PMC9986028 DOI: 10.1089/neu.2022.0201] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Traumatic intracranial hypertension (tIH) is a common and potentially lethal complication of moderate to severe traumatic brain injury (m-sTBI). It often develops with little warning and is managed reactively with the tiered application of intracranial pressure (ICP)-lowering interventions administered in response to an ICP rising above a set threshold. For over 45 years, a variety of research groups have worked toward the development of technology to allow for the preemptive management of tIH in the hope of improving patient outcomes. In 2022, the first operationalizable tIH prediction system became a reality. With such a system, ICP lowering interventions could be administered prior to the rise in ICP, thus protecting the patient from potentially damaging tIH episodes and limiting the overall ICP burden experienced. In this review, we discuss related approaches to ICP forecasting and IH prediction algorithms, which collectively provide the foundation for the successful development of an operational tIH prediction system. We also discuss operationalization and the statistical assessment of tIH algorithms. This review will be of relevance to clinicians and researchers interested in development of this technology as well as those with a general interest in the bedside application of machine learning (ML) technology.
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Affiliation(s)
- Robert McNamara
- Department of Intensive Care Medicine, Royal Perth Hospital, Perth, Western Australia, Australia
- School of Medicine, Curtin University, Bentley, Western Australia, Australia
- Address correspondence to: Robert McNamara, BMBS, FCICM, Department of Intensive Care Medicine, Royal Perth Hospital, Perth, Western Australia, Australia 6001
| | - Shiv Meka
- Data Innovation Laboratory, Western Australian Department of Health, Perth, Western Australia, Australia
| | - James Anstey
- Department of Intensive Care, The Royal Melbourne Hospital, Melbourne, Victoria, Australia
| | - Daniel Fatovich
- Department of Emergency Medicine, Royal Perth Hospital, Perth, Western Australia, Australia
- Centre for Clinical Research in Emergency Medicine, Harry Perkins Institute of Medical Research, Perth, Western Australia, Australia
| | - Luke Haseler
- Curtin Health Innovation Research Institute, Curtin University, Bentley, Western Australia, Australia
| | - Toby Jeffcote
- Department of Intensive Care, Alfred Health, Melbourne, Victoria, Australia
| | - Andrew Udy
- Department of Intensive Care, Alfred Health, Melbourne, Victoria, Australia
- Australian and New Zealand Intensive Care Research Centre, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Rinaldo Bellomo
- Department of Intensive Care, The Royal Melbourne Hospital, Melbourne, Victoria, Australia
- Australian and New Zealand Intensive Care Research Centre, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
- Department of Critical Care, The University of Melbourne, Melbourne, Victoria, Australia
- Department of Intensive Care, Austin Hospital, Melbourne, Australia
- Data Analytics Research and Evaluation, Austin Hospital, Melbourne, Australia
| | - Melinda Fitzgerald
- Curtin Health Innovation Research Institute, Curtin University, Bentley, Western Australia, Australia
- Perron Institute for Neurological and Translational Sciences, Nedlands, Western Australia, Australia
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Hays LM, Udy A, Adamides AA, Anstey JR, Bailey M, Bellapart J, Byrne K, Cheng A, Jamie Cooper D, Drummond KJ, Haenggi M, Jakob SM, Higgins AM, Lewis PM, Hunn MK, McNamara R, Menon DK, Murray L, Reddi B, Trapani T, Vallance S, Young PJ, Diaz-Arrastia R, Shutter L, Murray PT, Curley GF, Nichol A. Effects of brain tissue oxygen (PbtO2) guided management on patient outcomes following severe traumatic brain injury: A systematic review and meta-analysis. J Clin Neurosci 2022; 99:349-358. [DOI: 10.1016/j.jocn.2022.03.017] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2021] [Revised: 02/24/2022] [Accepted: 03/10/2022] [Indexed: 11/30/2022]
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McNamara R, Meka S, Anstey J, Fatovich D, Haseler L, Fitzgerald M, Udy A. The Monitoring with Advanced Sensors, Transmission and E-Resuscitation in Traumatic Brain Injury (MASTER-TBI) collaborative: bringing data science to the ICU bedside. CRIT CARE RESUSC 2022; 24:39-42. [PMID: 38046840 PMCID: PMC10692591 DOI: 10.51893/2022.1.oa5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Background: With the adoption of multimodal neuromonitoring techniques, a large amount of high resolution neurophysiological data is generated during the treatment of patients with moderate to severe traumatic brain injury (m-sTBI) that is available for further analysis. The Monitoring with Advanced Sensors, Transmission and E-Resuscitation in Traumatic Brain Injury (MASTER-TBI) collaborative was formed in 2020 to facilitate analysis of these data. Objective: The MASTER-TBI collaborative curates m-sTBI patient data for the purposes of comparative effectiveness research, machine learning algorithm development, and neuropathophysiological phenomena analysis. Design, setting and participants: The MASTER-TBI collaborative is a multicentre longitudinal cohort study which utilises a novel hybrid cloud platform and other data science-informed techniques to collect and analyse data from patients with m-sTBI in whom both intracranial pressure monitoring and ICM+ (Cambridge Enterprise, Cambridge, UK) neuromonitoring software are utilised. MASTER-TBI enrols patients with m-sTBI from three participating Australian trauma intensive care units (ICUs). Main outcome measures: Captured outcome measures available for analysis include pathophysiological events (intracranial hypertension, cerebral perfusion pressure variations etc), surgical interventions, ICU and hospital length of stay, patient discharge status, and, where available, Glasgow Outcome Score-Extended (GOS-E) at 6 months. Results and conclusion: MASTER-TBI continues to develop data science-informed systems and techniques to maximise the use of captured high resolution m-sTBI patient neuromonitoring data. The highly innovative systems provide a world-class platform which aims to enhance the search for improved m-sTBI care and outcomes. This article provides an overview of the MASTER-TBI project's developed systems and techniques as well as a rationale for the approaches taken.
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Affiliation(s)
- Robert McNamara
- Department of Intensive Care Medicine, Royal Perth Hospital, Perth, WA, Australia
- School of Medicine, Curtin University, Perth, WA, Australia
| | - Shiv Meka
- Data Innovation Laboratory, Western Australian Department of Health, Perth, WA, Australia
| | - James Anstey
- Department of Intensive Care, Royal Melbourne Hospital, Melbourne, VIC, Australia
| | - Daniel Fatovich
- Emergency Medicine, Royal Perth Hospital, University of Western Australia, Perth, WA, Australia
- Centre for Clinical Research in Emergency Medicine, Harry Perkins Institute of Medical Research, Perth, WA, Australia
| | - Luke Haseler
- Curtin Health Innovation Research Institute, Curtin University, Perth, WA, Australia
| | - Melinda Fitzgerald
- Curtin Health Innovation Research Institute, Curtin University, Perth, WA, Australia
- Perron Institute for Neurological and Translational Sciences, Perth, WA, Australia
| | - Andrew Udy
- Australian and New Zealand Intensive Care Research Centre, School of Public Health and Preventive Medicine, Monash, University, Melbourne, VIC, Australia
- Department of Intensive Care, Alfred Health, Melbourne, VIC, Australia
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Prendergast C, McNamara R. 182 QUALITY IMPROVEMENT OF THE REFERRAL SYSTEM TO EDITH (EMERGENCY DEPARTMENT IN THE HOME) SERVICE. Age Ageing 2021. [DOI: 10.1093/ageing/afab219.182] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/25/2023] Open
Abstract
Abstract
Background
Our department has been providing an Emergency Department in the Home (EDITH) service since early 2020. The goal is to bring the emergency services to older people and prevent unnecessary attendances to the ED. With over 3,000 patients seen in its first 14 months, this heavily used service needs a proficient and safe referral system.
The previous referral system predominately involved handwritten referrals and phone calls. Our aim was to streamline this via the introduction of the Siilo Application as a solitary referral source. A referral proforma was also drawn up to ensure all relevant details were included.
Methods
A baseline survey was conducted to establish staff’s opinion on the initial referral system. The questions were.
1. Are you happy with the current system of referring patients to EDITH?
2. Do you think that some referrals are being missed or delayed secondary to the current system?
3. Rank your current satisfaction with the referral system out of ten?
There was also an area for feedback in the survey. The new system was then introduced using the Siilo Application. Staff were trained in its use and a referral proforma was put in place. After three months of use a second survey was conducted with the same questions.
Results
60% were happy with the new referral system, up from 11% on the first survey. Those who believed referrals were being missed had fallen from 88.9% to 70%. The average score out of ten for the current system was 6.9, improved from 5.7.
Conclusion
Having a safe, user friendly and efficient referral system for complex patients is a fundamental part on the service we provide. Staff satisfaction with the referral system, especially in an emergency setting, is paramount to ensure adequate and safe referrals. Satisfaction rates did improve with the introduction of the Siilo Application, but there is room for further improvement.
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Affiliation(s)
| | - R McNamara
- St Vincent's University Hospital , Dublin, Ireland
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Edge L, Cunningham C, Murphy N, Dillon A, Flynn S, O'Shaughnessy Í, Davis A, O'Rourke B, Brossier L, Doran C, Hennessy A, Kennedy U, McMahon G, McNamara R, Shields D, Staunton P, Horgan F. 142 FRAILTY IDENTIFICATION AND INTERDISCIPLINARY ASSESSMENT OF OLDER PEOPLE IN THE EMERGENCY DEPARTMENT. Age Ageing 2021. [DOI: 10.1093/ageing/afab219.142] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/25/2023] Open
Abstract
Abstract
Background
Older People are attending Emergency Departments (EDs) in increasing numbers but the optimal assessment measures to use have yet to be established. This study examined the clinical utility of different assessments of strength, functional mobility, sarcopenia, cognition and frailty used by the physiotherapist in an interdisciplinary team (IDT) in the ED and determined any associations with clinical outcomes.
Methods
This observational cross-sectional study recruited adults ≥70 years who were assessed by an IDT on weekdays during working hours. Demographic variables such as age, gender, social situation, baseline mobility, falls and clinical measures such as Clinical Frailty Scale (CFS), 4AT, hand-held dynamometry, calf circumference and functional mobility in ED were recorded. Clinical outcomes were admission to hospital, discharge from ED with onward referral (ambulatory care or community) and discharge from ED with no referral. Ethical approval was obtained and SPSS was used for statistical analysis.
Results
Two hundred and fifty four participants were recruited, 58.3% female, mean age 80.23 (SD 6.56). Median CFS was 4 (IRQ 2.0), range 1–7 with 32.7% (n = 83) considered frail. Sarcopenia prevalence was 89.3% using grip strength and 7.1% using calf circumference. Grip strength predicted frailty even after adjusting for age (p < 0.0001), gender (p < 0.0001) and falls (p = 0.043). Admission to hospital was predicted by major diagnostic category (p = 0.016) and inability to sit to stand independently in ED (p < 0.0001). Seventy percent (n = 179) of participants were discharged from ED, with 27.6% referred to ambulatory care or community services. Onward referral was predicted by frailty (p = 0.016) and falls in the last six months (p = 0.028).
Conclusion
Grip strength in addition to a validated tool such as CFS may assist an experienced IDT in identifying frailty, which can in turn inform decision-making regarding ED disposition and pathways of care for older people. Functional assessment in the ED is also important to determine the need for hospital admission.
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Affiliation(s)
- L Edge
- St James's Hospital , Dublin, Ireland
| | | | - N Murphy
- St James's Hospital , Dublin, Ireland
| | - A Dillon
- St James's Hospital , Dublin, Ireland
| | - S Flynn
- St James's Hospital , Dublin, Ireland
| | | | - A Davis
- St James's Hospital , Dublin, Ireland
| | - B O'Rourke
- Royal College of Surgeons in Ireland , Dublin, Ireland
| | - L Brossier
- Royal College of Surgeons in Ireland , Dublin, Ireland
| | - C Doran
- Royal College of Surgeons in Ireland , Dublin, Ireland
| | | | - U Kennedy
- St James's Hospital , Dublin, Ireland
| | - G McMahon
- St James's Hospital , Dublin, Ireland
| | | | - D Shields
- St James's Hospital , Dublin, Ireland
| | | | - F Horgan
- Royal College of Surgeons in Ireland , Dublin, Ireland
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Delaney A, Doyle C, Sweeney A, Davis A, McNally S, McNamara R, Mooney R. 215 WHAT IMPACT CAN ‘EMERGENCY DEPARTMENT IN THE HOME’ (EDITH) HAVE ON THE OLDER ADULT POPULATION PRESENTING WITH FALLS? Age Ageing 2021. [DOI: 10.1093/ageing/afab219.215] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/25/2023] Open
Abstract
Abstract
Background
EDITH is a frailty response service providing medical and occupational therapy input to older adults living within the catchment area of a level 4 acute hospital. EDITH aims to reduce avoidable Emergency Department (ED) attendances and utilise alternative care pathways. Falls are common among older people and are often associated with poorer outcomes. Traditionally, older patients who have had a fall and contact emergency services for assistance are transferred to the ED and this can be associated with elevated risks. Additionally, older patients who have had a fall and are discharged on scene by the emergency services are at greater risk of recurring falls in the absence of immediate onward referral to community falls prevention services (Nowak and Hubbard 2009).
Methods
Paper count method data collection was completed. Inclusion criteria included referrals from the National Ambulance Service within the last 6 months.
Results
75 patients met the inclusion criteria; 34 males, 41 females with an average age of 82. 11 patients were conveyed to hospital, giving a conveyance rate of 14.6%, the average conveyance rate for the EDITH service is 7.2%. 3 patients were conveyed to ED, while 8 patients were conveyed to the Medical Assessment Unit (MAU) in the local level 3 hospital. This resulted in 72% of patients that required hospital conveyance being streamed to the MAU; traditionally 100% of these patients would have presented to ED. Overall, 85.4% of patients seen remained at home.
Conclusion
EDITH are providing targeted medical and occupational therapy assessment(s) for older adults in their homes with successful outcomes. Implementation of alternative care pathways, reduction in avoidable ED attendances and prolonged independence in the home for this patient profile are some of the favourable findings.
Reference
1. Nowak A, Hubbard RE. (2009) Falls and frailty: lessons from complex systems. Journal of the Royal Society of Medicine. 102(3):98–102.
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Affiliation(s)
- A Delaney
- Saint Vincent's University Hospital , Dublin, Ireland
| | - C Doyle
- Saint Vincent's University Hospital , Dublin, Ireland
| | - A Sweeney
- Saint Vincent's University Hospital , Dublin, Ireland
| | - A Davis
- Saint Vincent's University Hospital , Dublin, Ireland
| | - S McNally
- Saint Vincent's University Hospital , Dublin, Ireland
| | - R McNamara
- Saint Vincent's University Hospital , Dublin, Ireland
| | - R Mooney
- National Ambulance Service , Dublin, Ireland
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Loughlin E, McNamara R, Antonenko A, O'Regan A, O'Connor M. 249 A SURVEY OF IRISH DOCTORS VIEWS ON FLEXIBLE TRAINING. Age Ageing 2021. [DOI: 10.1093/ageing/afab219.249] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/25/2023] Open
Abstract
Abstract
Background
We aimed to establish the views of non consultant hospital doctors working in Ireland on the options available for ‘Flexible Training’ or ‘Less-Than-Full-Time-Training’. Our population is ageing rapidly, and an expanding workforce will be required. Difficulties with doctor retention and recruitment are growing challenges in Ireland.
Methods
An anonymised survey of 9 questions was carried out using Survey Monkey®. Question format included multiple choice, yes/no or a free text box. This was disseminated via the Royal College of Physicians of Ireland to 1,557 trainees of the Institute of Medicine, the national postgraduate body for medical specialties. It was also circulated to members of the Irish Medical Organisation, the national medical organisation, and to approximately 200 doctors across two hospitals on social media.
Results
There were 674 (84.3%) respondents in training- 46.3% BST, 53.7% HST; and 125 (15.6%) non-training respondents. Doctors overwhelmingly felt trainees should have access to flexible training (n = 849, 99.41%), with 82.39% reporting they would apply (n = 702). Most (92.5%) felt that 16 WTE positions was inadequate (n = 789). Reasons chosen for not applying for flexible training included- 36.1% (n = 169) felt it could impact their career, 25.4% (n = 119) identified they did not meet the criteria, 14.32% (n = 67) reported no interest, while 24.1% (n = 113) gave ‘other’ reasons including lengthy training, salary impacts, and not having a requirement for flexible training. When asked about suggestions for improving flexible training, 19.7% chose ‘offer more places’, 6.7%-‘remove eligibility criteria’, 19.6% -‘offer job sharing options’, 9.5%- ‘allow more flexible training years’, 17.7% -‘regional based training’, 22.5% -‘all of the above’, 4.9%—‘other’.
Conclusion
Our survey suggests non consultant hospital doctors in Ireland strongly desire an expansion of current flexible training options. This is essential to ensure Ireland is an attractive place for doctors to work, to support their health and wellbeing, and to ensure an adequate workforce to care for an ageing population.
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Affiliation(s)
- E Loughlin
- University Hospital Galway , Galway, Ireland
| | - R McNamara
- University Hospital Limerick , Limerick, Ireland
| | - A Antonenko
- University Hospital Limerick , Limerick, Ireland
| | - A O'Regan
- University Hospital Galway , Galway, Ireland
| | - M O'Connor
- University Hospital Limerick , Limerick, Ireland
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12
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Sheehan M, Mulcaire J, McNamara R. 188 IMPROVING THE ASSESSMENT AND MANAGEMENT OF FALLS IN OLDER PEOPLE BY THE EMERGENCY DEPARTMENT IN THE HOME. Age Ageing 2021. [DOI: 10.1093/ageing/afab219.188] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/25/2023] Open
Abstract
Abstract
Background
Falls among older adults are the injury pattern that causes the most morbidity and mortality. Assessing and managing these in the patients’ homes is challenging; it requires a comprehensive, systematic approach. This quality Improvement Project used a Comprehensive Geriatric Assessment for older adults who have suffered fall, carried out by an Emergency Department in the Home (EDITH) practitioner in the patient’s home.
Aim: To improve the evaluation and management of older people who have fallen and are attended to by the Emergency Department in the Home.
Methods
This OD project was carried out using the HSE People’s Needs Defining Change model. A new, streamlined version of the Comprehensive Geriatric Assessment tool was developed and introduced, and this was implemented and altered over two PDSA cycles.
Results
Documentation of falls improved dramatically, from a median of three out of 12 domains included to a median of 11 domains included. Users’ feedback helped the CGA evolve and was incredibly positive about the change.
Conclusion
This project shows that a CGA can be used successfully in patients’ own homes to assess risk factors for falling. The HSE’s People’s Needs Defining Change can be used to implement community-based projects. The community CGA tool could be explored by other areas and organisations in the future.
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Affiliation(s)
- M Sheehan
- St Vincent's University Hospital , Dublin, Ireland
| | - J Mulcaire
- St Vincent's University Hospital , Dublin, Ireland
| | - R McNamara
- St Vincent's University Hospital , Dublin, Ireland
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13
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Loughlin KM, McNamara R, Timmons S. 51 TO EXPLORE EMERGENCY MEDICINE SPRS UNDERSTANDING, IDENTIFICATION AND MANAGEMENT OF FRAILTY WITHIN THE EMERGENCY DEPARTMENT. Age Ageing 2021. [DOI: 10.1093/ageing/afab219.51] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/25/2023] Open
Abstract
Abstract
Background
Our frail cohort of older adults represent a large proportion of those presenting to our Emergency Departments. This has led to the introduction of diverse teams in many Emergency Departments to support their complex care needs. However, it is not known if Emergency Clinicians have a clear understanding of frailty identification and management or feel this is part of their own role.
The aim of this study was to engage with Emergency Medicine Senior Trainees on the national training scheme in Ireland to explore their understanding of frailty and what they feel their role is in its identification and management.
Methods
Following a literature review based on defined criteria, a number of focus groups were held with ED PGY4 and above doctors working in various Emergency Departments throughout the country, with thematic analysis of the transcripts of the focus groups.
Results
In total, 13 Emergency Medicine PGY4 and above doctors partook in the focus groups with an overall view that frailty identification was part of their role within the Emergency Department; however there was agreement they have limited insight into the core principles of frailty identification and management. There was also an overall desire for future formal education on frailty to be provided. Three themes in the form of frailty recognition and assessment, education on frailty, and the role of the multidisciplinary team were identified as well as a number of subthemes for further exploration.
Conclusion
The consequences of frailty often lead to presentation to the Emergency Department. There is an increased awareness of its presentation but the core providers of emergency care feel there is a lack of the education required for them to manage the consequences of frailty which they encounter on daily basis and they have a clear desire to increase the knowledge base and skill set.
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Affiliation(s)
- K M Loughlin
- University College Cork , Cork, Ireland
- Beaumont Hospital , Dublin, Ireland
| | | | - S Timmons
- University College Cork , Cork, Ireland
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14
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Foley J, Menzies D, Boyle N, McNamara R. 186 OPTIMAL MANAGEMENT OF COVID-19 IN NURSING HOME PATIENTS: A QUALITY IMPROVEMENT PROJECT IN AN IRISH UNIVERSITY HOSPITAL EMERGENCY DEPARTMENT. Age Ageing 2021. [PMCID: PMC8690018 DOI: 10.1093/ageing/afab219.186] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022] Open
Abstract
Background The Sars-CoV-2 global pandemic placed an unprecedented demand on acute health services and led to significant morbidity and mortality in older populations. Nearly half of attendances to this ED are over the age of 65 years and there are over 80 nursing homes in the catchment area. A pilot study in January 2021 showed that nursing home attendances increased significantly during the third wave of COVID-19 with many of these attendances potentially avoidable and suitable for optimised care in the nursing home. The primary objective of this quality improvement project was to enhance the older person’s care and experience when presenting to ED or being reviewed in the community with symptoms and signs of COVID-19. Secondary aims were reduced nursing home attendances to ED and subsequent admissions from these attendances. Methods A guideline was constructed based on the RCEM standard for Quality Care for Older People and using the HSE guidelines for managing COVID-19 in nursing home patients. The guideline was introduced to staff and implemented in ED and via the EDITH service. Results Two PDSA cycles were undertaken post guideline implementation. There were substantial improvements in the frequency of discussion and documentation of advanced directives with increased numbers of patients being discharged directly back to the nursing home or treated in the nursing home using the guideline. There was a decrease in the number of nursing home attendances throughout the project. Conclusion This successful QIP shows the importance of manging older patients appropriately, while considering their wishes. Post-COVID work should centre on managing all older patients with optimised treatment and considering how they will benefit most from their attendance to ED.
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Affiliation(s)
- J Foley
- St. Vincent's University Hospital, Dublin 4, Ireland
| | - D Menzies
- St. Vincent's University Hospital, Dublin 4, Ireland
| | - N Boyle
- St. Vincent's University Hospital, Dublin 4, Ireland
| | - R McNamara
- St. Vincent's University Hospital, Dublin 4, Ireland
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15
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Lucke JA, Mooijaart SP, Heeren P, Singler K, McNamara R, Gilbert T, Nickel CH, Castejon S, Mitchell A, Mezera V, Van der Linden L, Lim SE, Thaur A, Karamercan MA, Blomaard LC, Dundar ZD, Chueng KY, Islam F, de Groot B, Conroy S. Providing care for older adults in the Emergency Department: expert clinical recommendations from the European Task Force on Geriatric Emergency Medicine. Eur Geriatr Med 2021; 13:309-317. [PMID: 34738224 PMCID: PMC8568564 DOI: 10.1007/s41999-021-00578-1] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2021] [Accepted: 10/20/2021] [Indexed: 01/08/2023]
Abstract
Aim The aim was to develop expert clinical recommendations on Geriatric Emergency Medicine to be disseminated across Europe. Findings Eight posters with expert clinical guidelines on the most important topics in Geriatric Emergency Medicine are now available through https://posters.geriemeurope.eu/. Message Expert clinical recommendations for Geriatric Emergency Medicine in Europe were created and are ready for dissemination across Europe. Supplementary Information The online version contains supplementary material available at 10.1007/s41999-021-00578-1. Purpose Despite the rapidly expanding knowledge in the field of Geriatric Emergency Medicine in Europe, widespread implementation of change is still lacking. Many opportunities in everyday clinical care are missed to improve care for this susceptible and growing patient group. The aim was to develop expert clinical recommendations on Geriatric Emergency Medicine to be disseminated across Europe. Methods A group of multi-disciplinary experts in the field of Geriatric Emergency Medicine in Europe was assembled. Using a modified Delphi procedure, a prioritized list of topics related to Geriatric Emergency Medicine was created. Next, a multi-disciplinary group of nurses, geriatricians and emergency physicians performed a review of recent guidelines and literature to create recommendations. These recommendations were voted upon by a group of experts and placed on visually attractive posters. The expert group identified the following eight subject areas to develop expert recommendations on: Comprehensive Geriatric Assessment in the Emergency Department (ED), age/frailty adjusted risk stratification, delirium and cognitive impairment, medication reviews in the ED for older adults, family involvement, ED environment, silver trauma, end of life care in the acute setting. Results Eight posters with expert clinical recommendations on the most important topics in Geriatric Emergency Medicine are now available through https://posters.geriemeurope.eu/. Conclusion Expert clinical recommendations for Geriatric Emergency Medicine may help to improve care for older patients in the Emergency Department and are ready for dissemination across Europe. Supplementary Information The online version contains supplementary material available at 10.1007/s41999-021-00578-1.
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Affiliation(s)
- J A Lucke
- Department of Emergency Medicine, Spaarne Gasthuis, Haarlem, The Netherlands.
| | - S P Mooijaart
- Department of Internal Medicine, Section on Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands
| | - P Heeren
- Department of Public Health and Primary Care, Academic Centre for Nursing and Midwifery, KU Leuven, Leuven, Belgium.,Department of Geriatric Medicine, University Hospitals Leuven, Leuven, Belgium.,Research Foundation Flanders, Brussels, Belgium
| | - K Singler
- Department of Geriatrics, Klinikum Nürnberg, Paracelsus Private, Medical University, Nuremberg, Germany.,Institute for Biomedicine of Ageing, Friedrich-Alexander-University, Erlangen-Nuremberg, Erlangen, Germany
| | - R McNamara
- Department of Emergency Medicine, St. Vincent's University Hospital, Dublin, Ireland
| | - T Gilbert
- Department of Geriatric Medicine, Lyon-Sud University Hospital, Lyon, France
| | - C H Nickel
- Emergency Medicine, University Hospital Basel, Basel, Switzerland
| | - S Castejon
- Department of Geriatrics and Palliative Care, Consorci Sanitari de Terrassa, Terrassa, Barcelona, Spain
| | - A Mitchell
- Department of Emergency Medicine, Sligo University Hospital, Sligo, Ireland
| | - V Mezera
- Geriatric Center, Pardubice Hospital, Pardubice, Czech Republic
| | - L Van der Linden
- Pharmacy Department, University Hospitals Leuven, Leuven, Belgium.,Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium
| | - S E Lim
- Academic Geriatric Medicine, University of Southampton, Southampton, UK
| | - A Thaur
- Department of Emergency Medicine, Guy's and St.Thomas' NHS Foundation Trust, London, UK
| | - M A Karamercan
- Department of Emergency Medicine, Gazi University School of Medicine, Ankara, Turkey
| | - L C Blomaard
- Department of Internal Medicine, Section on Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands
| | - Z D Dundar
- Department of Emergency Medicine, Necmettin Erbakan University Meram Faculty of Medicine, Konya, Turkey
| | - K Y Chueng
- Accident and Emergency Department, United Christian Hospital, Kwun Tong, Hong Kong
| | - F Islam
- Department of Public Health and Primary Care, KU Leuven, Leuven, Belgium
| | - B de Groot
- Department of Emergency Medicine, Leiden University Medical Center, Leiden, The Netherlands
| | - S Conroy
- Geriatric Medicine, MRC Unit for Lifelong Health and Ageing at UCL, 5th Floor, 1-19 Torrington Place, London, WC1E 7HB, UK
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16
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Baloescu C, Varasteh A, Papale A, Raju B, Toporek G, Patil S, McNamara R, Moore C. 123 Deep-Learning Generated B-Line Score Mirrors Clinical Progression of Disease for Patients Admitted With Shortness of Breath or Hypoxia. Ann Emerg Med 2021. [DOI: 10.1016/j.annemergmed.2021.09.133] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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17
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Khera R, Haimovich J, Hurley NC, McNamara R, Spertus JA, Desai N, Rumsfeld JS, Masoudi FA, Huang C, Normand SL, Mortazavi BJ, Krumholz HM. Use of Machine Learning Models to Predict Death After Acute Myocardial Infarction. JAMA Cardiol 2021; 6:633-641. [PMID: 33688915 DOI: 10.1001/jamacardio.2021.0122] [Citation(s) in RCA: 84] [Impact Index Per Article: 28.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Importance Accurate prediction of adverse outcomes after acute myocardial infarction (AMI) can guide the triage of care services and shared decision-making, and novel methods hold promise for using existing data to generate additional insights. Objective To evaluate whether contemporary machine learning methods can facilitate risk prediction by including a larger number of variables and identifying complex relationships between predictors and outcomes. Design, Setting, and Participants This cohort study used the American College of Cardiology Chest Pain-MI Registry to identify all AMI hospitalizations between January 1, 2011, and December 31, 2016. Data analysis was performed from February 1, 2018, to October 22, 2020. Main Outcomes and Measures Three machine learning models were developed and validated to predict in-hospital mortality based on patient comorbidities, medical history, presentation characteristics, and initial laboratory values. Models were developed based on extreme gradient descent boosting (XGBoost, an interpretable model), a neural network, and a meta-classifier model. Their accuracy was compared against the current standard developed using a logistic regression model in a validation sample. Results A total of 755 402 patients (mean [SD] age, 65 [13] years; 495 202 [65.5%] male) were identified during the study period. In independent validation, 2 machine learning models, gradient descent boosting and meta-classifier (combination including inputs from gradient descent boosting and a neural network), marginally improved discrimination compared with logistic regression (C statistic, 0.90 for best performing machine learning model vs 0.89 for logistic regression). Nearly perfect calibration in independent validation data was found in the XGBoost (slope of predicted to observed events, 1.01; 95% CI, 0.99-1.04) and the meta-classifier model (slope of predicted-to-observed events, 1.01; 95% CI, 0.99-1.02), with more precise classification across the risk spectrum. The XGBoost model reclassified 32 393 of 121 839 individuals (27%) and the meta-classifier model reclassified 30 836 of 121 839 individuals (25%) deemed at moderate to high risk for death in logistic regression as low risk, which were more consistent with the observed event rates. Conclusions and Relevance In this cohort study using a large national registry, none of the tested machine learning models were associated with substantive improvement in the discrimination of in-hospital mortality after AMI, limiting their clinical utility. However, compared with logistic regression, XGBoost and meta-classifier models, but not the neural network, offered improved resolution of risk for high-risk individuals.
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Affiliation(s)
- Rohan Khera
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut.,Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Connecticut
| | - Julian Haimovich
- Department of Internal Medicine, Massachusetts General Hospital, Boston
| | - Nathan C Hurley
- Department of Computer Science and Engineering, Texas A&M University, College Station
| | - Robert McNamara
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut
| | - John A Spertus
- Saint Luke's Mid America Heart Institute, Kansas City, Missouri.,Division of Cardiology, Department of Internal Medicine, University of Missouri, Kansas City
| | - Nihar Desai
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut.,Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Connecticut
| | - John S Rumsfeld
- Division of Cardiology, Department of Internal Medicine, University of Colorado Anschutz Medical Campus, Aurora
| | - Frederick A Masoudi
- Division of Cardiology, Department of Internal Medicine, University of Colorado Anschutz Medical Campus, Aurora
| | - Chenxi Huang
- Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Connecticut
| | - Sharon-Lise Normand
- Department of Biostatistics, T. H. Chan School of Public Health, Harvard University, Boston, Massachusetts.,Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts
| | - Bobak J Mortazavi
- Department of Computer Science and Engineering, Texas A&M University, College Station
| | - Harlan M Krumholz
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut.,Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Connecticut.,Department of Health Policy and Management, Yale School of Public Health, New Haven, Connecticut
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18
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Angus DC, Derde L, Al-Beidh F, Annane D, Arabi Y, Beane A, van Bentum-Puijk W, Berry L, Bhimani Z, Bonten M, Bradbury C, Brunkhorst F, Buxton M, Buzgau A, Cheng AC, de Jong M, Detry M, Estcourt L, Fitzgerald M, Goossens H, Green C, Haniffa R, Higgins AM, Horvat C, Hullegie SJ, Kruger P, Lamontagne F, Lawler PR, Linstrum K, Litton E, Lorenzi E, Marshall J, McAuley D, McGlothin A, McGuinness S, McVerry B, Montgomery S, Mouncey P, Murthy S, Nichol A, Parke R, Parker J, Rowan K, Sanil A, Santos M, Saunders C, Seymour C, Turner A, van de Veerdonk F, Venkatesh B, Zarychanski R, Berry S, Lewis RJ, McArthur C, Webb SA, Gordon AC, Al-Beidh F, Angus D, Annane D, Arabi Y, van Bentum-Puijk W, Berry S, Beane A, Bhimani Z, Bonten M, Bradbury C, Brunkhorst F, Buxton M, Cheng A, De Jong M, Derde L, Estcourt L, Goossens H, Gordon A, Green C, Haniffa R, Lamontagne F, Lawler P, Litton E, Marshall J, McArthur C, McAuley D, McGuinness S, McVerry B, Montgomery S, Mouncey P, Murthy S, Nichol A, Parke R, Rowan K, Seymour C, Turner A, van de Veerdonk F, Webb S, Zarychanski R, Campbell L, Forbes A, Gattas D, Heritier S, Higgins L, Kruger P, Peake S, Presneill J, Seppelt I, Trapani T, Young P, Bagshaw S, Daneman N, Ferguson N, Misak C, Santos M, Hullegie S, Pletz M, Rohde G, Rowan K, Alexander B, Basile K, Girard T, Horvat C, Huang D, Linstrum K, Vates J, Beasley R, Fowler R, McGloughlin S, Morpeth S, Paterson D, Venkatesh B, Uyeki T, Baillie K, Duffy E, Fowler R, Hills T, Orr K, Patanwala A, Tong S, Netea M, Bihari S, Carrier M, Fergusson D, Goligher E, Haidar G, Hunt B, Kumar A, Laffan M, Lawless P, Lother S, McCallum P, Middeldopr S, McQuilten Z, Neal M, Pasi J, Schutgens R, Stanworth S, Turgeon A, Weissman A, Adhikari N, Anstey M, Brant E, de Man A, Lamonagne F, Masse MH, Udy A, Arnold D, Begin P, Charlewood R, Chasse M, Coyne M, Cooper J, Daly J, Gosbell I, Harvala-Simmonds H, Hills T, MacLennan S, Menon D, McDyer J, Pridee N, Roberts D, Shankar-Hari M, Thomas H, Tinmouth A, Triulzi D, Walsh T, Wood E, Calfee C, O’Kane C, Shyamsundar M, Sinha P, Thompson T, Young I, Bihari S, Hodgson C, Laffey J, McAuley D, Orford N, Neto A, Detry M, Fitzgerald M, Lewis R, McGlothlin A, Sanil A, Saunders C, Berry L, Lorenzi E, Miller E, Singh V, Zammit C, van Bentum Puijk W, Bouwman W, Mangindaan Y, Parker L, Peters S, Rietveld I, Raymakers K, Ganpat R, Brillinger N, Markgraf R, Ainscough K, Brickell K, Anjum A, Lane JB, Richards-Belle A, Saull M, Wiley D, Bion J, Connor J, Gates S, Manax V, van der Poll T, Reynolds J, van Beurden M, Effelaar E, Schotsman J, Boyd C, Harland C, Shearer A, Wren J, Clermont G, Garrard W, Kalchthaler K, King A, Ricketts D, Malakoutis S, Marroquin O, Music E, Quinn K, Cate H, Pearson K, Collins J, Hanson J, Williams P, Jackson S, Asghar A, Dyas S, Sutu M, Murphy S, Williamson D, Mguni N, Potter A, Porter D, Goodwin J, Rook C, Harrison S, Williams H, Campbell H, Lomme K, Williamson J, Sheffield J, van’t Hoff W, McCracken P, Young M, Board J, Mart E, Knott C, Smith J, Boschert C, Affleck J, Ramanan M, D’Souza R, Pateman K, Shakih A, Cheung W, Kol M, Wong H, Shah A, Wagh A, Simpson J, Duke G, Chan P, Cartner B, Hunter S, Laver R, Shrestha T, Regli A, Pellicano A, McCullough J, Tallott M, Kumar N, Panwar R, Brinkerhoff G, Koppen C, Cazzola F, Brain M, Mineall S, Fischer R, Biradar V, Soar N, White H, Estensen K, Morrison L, Smith J, Cooper M, Health M, Shehabi Y, Al-Bassam W, Hulley A, Whitehead C, Lowrey J, Gresha R, Walsham J, Meyer J, Harward M, Venz E, Williams P, Kurenda C, Smith K, Smith M, Garcia R, Barge D, Byrne D, Byrne K, Driscoll A, Fortune L, Janin P, Yarad E, Hammond N, Bass F, Ashelford A, Waterson S, Wedd S, McNamara R, Buhr H, Coles J, Schweikert S, Wibrow B, Rauniyar R, Myers E, Fysh E, Dawda A, Mevavala B, Litton E, Ferrier J, Nair P, Buscher H, Reynolds C, Santamaria J, Barbazza L, Homes J, Smith R, Murray L, Brailsford J, Forbes L, Maguire T, Mariappa V, Smith J, Simpson S, Maiden M, Bone A, Horton M, Salerno T, Sterba M, Geng W, Depuydt P, De Waele J, De Bus L, Fierens J, Bracke S, Reeve B, Dechert W, Chassé M, Carrier FM, Boumahni D, Benettaib F, Ghamraoui A, Bellemare D, Cloutier È, Francoeur C, Lamontagne F, D’Aragon F, Carbonneau E, Leblond J, Vazquez-Grande G, Marten N, Wilson M, Albert M, Serri K, Cavayas A, Duplaix M, Williams V, Rochwerg B, Karachi T, Oczkowski S, Centofanti J, Millen T, Duan E, Tsang J, Patterson L, English S, Watpool I, Porteous R, Miezitis S, McIntyre L, Brochard L, Burns K, Sandhu G, Khalid I, Binnie A, Powell E, McMillan A, Luk T, Aref N, Andric Z, Cviljevic S, Đimoti R, Zapalac M, Mirković G, Baršić B, Kutleša M, Kotarski V, Vujaklija Brajković A, Babel J, Sever H, Dragija L, Kušan I, Vaara S, Pettilä L, Heinonen J, Kuitunen A, Karlsson S, Vahtera A, Kiiski H, Ristimäki S, Azaiz A, Charron C, Godement M, Geri G, Vieillard-Baron A, Pourcine F, Monchi M, Luis D, Mercier R, Sagnier A, Verrier N, Caplin C, Siami S, Aparicio C, Vautier S, Jeblaoui A, Fartoukh M, Courtin L, Labbe V, Leparco C, Muller G, Nay MA, Kamel T, Benzekri D, Jacquier S, Mercier E, Chartier D, Salmon C, Dequin P, Schneider F, Morel G, L’Hotellier S, Badie J, Berdaguer FD, Malfroy S, Mezher C, Bourgoin C, Megarbane B, Voicu S, Deye N, Malissin I, Sutterlin L, Guitton C, Darreau C, Landais M, Chudeau N, Robert A, Moine P, Heming N, Maxime V, Bossard I, Nicholier TB, Colin G, Zinzoni V, Maquigneau N, Finn A, Kreß G, Hoff U, Friedrich Hinrichs C, Nee J, Pletz M, Hagel S, Ankert J, Kolanos S, Bloos F, Petros S, Pasieka B, Kunz K, Appelt P, Schütze B, Kluge S, Nierhaus A, Jarczak D, Roedl K, Weismann D, Frey A, Klinikum Neukölln V, Reill L, Distler M, Maselli A, Bélteczki J, Magyar I, Fazekas Á, Kovács S, Szőke V, Szigligeti G, Leszkoven J, Collins D, Breen P, Frohlich S, Whelan R, McNicholas B, Scully M, Casey S, Kernan M, Doran P, O’Dywer M, Smyth M, Hayes L, Hoiting O, Peters M, Rengers E, Evers M, Prinssen A, Bosch Ziekenhuis J, Simons K, Rozendaal W, Polderman F, de Jager P, Moviat M, Paling A, Salet A, Rademaker E, Peters AL, de Jonge E, Wigbers J, Guilder E, Butler M, Cowdrey KA, Newby L, Chen Y, Simmonds C, McConnochie R, Ritzema Carter J, Henderson S, Van Der Heyden K, Mehrtens J, Williams T, Kazemi A, Song R, Lai V, Girijadevi D, Everitt R, Russell R, Hacking D, Buehner U, Williams E, Browne T, Grimwade K, Goodson J, Keet O, Callender O, Martynoga R, Trask K, Butler A, Schischka L, Young C, Lesona E, Olatunji S, Robertson Y, José N, Amaro dos Santos Catorze T, de Lima Pereira TNA, Neves Pessoa LM, Castro Ferreira RM, Pereira Sousa Bastos JM, Aysel Florescu S, Stanciu D, Zaharia MF, Kosa AG, Codreanu D, Marabi Y, Al Qasim E, Moneer Hagazy M, Al Swaidan L, Arishi H, Muñoz-Bermúdez R, Marin-Corral J, Salazar Degracia A, Parrilla Gómez F, Mateo López MI, Rodriguez Fernandez J, Cárcel Fernández S, Carmona Flores R, León López R, de la Fuente Martos C, Allan A, Polgarova P, Farahi N, McWilliam S, Hawcutt D, Rad L, O’Malley L, Whitbread J, Kelsall O, Wild 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Fernández de Pinedo Artaraz Z, Cabreros L, White I, Croft M, Holland N, Pereira R, Zaki A, Johnson D, Jackson M, Garrard H, Juhaz V, Roy A, Rostron A, Woods L, Cornell S, Pillai S, Harford R, Rees T, Ivatt H, Sundara Raman A, Davey M, Lee K, Barber R, Chablani M, Brohi F, Jagannathan V, Clark M, Purvis S, Wetherill B, Dushianthan A, Cusack R, de Courcy-Golder K, Smith S, Jackson S, Attwood B, Parsons P, Page V, Zhao XB, Oza D, Rhodes J, Anderson T, Morris S, Xia Le Tai C, Thomas A, Keen A, Digby S, Cowley N, Wild L, Southern D, Reddy H, Campbell A, Watkins C, Smuts S, Touma O, Barnes N, Alexander P, Felton T, Ferguson S, Sellers K, Bradley-Potts J, Yates D, Birkinshaw I, Kell K, Marshall N, Carr-Knott L, Summers C. Effect of Hydrocortisone on Mortality and Organ Support in Patients With Severe COVID-19: The REMAP-CAP COVID-19 Corticosteroid Domain Randomized Clinical Trial. JAMA 2020. [PMID: 32876697 DOI: 10.1001/jama.2020.1702221] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
IMPORTANCE Evidence regarding corticosteroid use for severe coronavirus disease 2019 (COVID-19) is limited. OBJECTIVE To determine whether hydrocortisone improves outcome for patients with severe COVID-19. DESIGN, SETTING, AND PARTICIPANTS An ongoing adaptive platform trial testing multiple interventions within multiple therapeutic domains, for example, antiviral agents, corticosteroids, or immunoglobulin. Between March 9 and June 17, 2020, 614 adult patients with suspected or confirmed COVID-19 were enrolled and randomized within at least 1 domain following admission to an intensive care unit (ICU) for respiratory or cardiovascular organ support at 121 sites in 8 countries. Of these, 403 were randomized to open-label interventions within the corticosteroid domain. The domain was halted after results from another trial were released. Follow-up ended August 12, 2020. INTERVENTIONS The corticosteroid domain randomized participants to a fixed 7-day course of intravenous hydrocortisone (50 mg or 100 mg every 6 hours) (n = 143), a shock-dependent course (50 mg every 6 hours when shock was clinically evident) (n = 152), or no hydrocortisone (n = 108). MAIN OUTCOMES AND MEASURES The primary end point was organ support-free days (days alive and free of ICU-based respiratory or cardiovascular support) within 21 days, where patients who died were assigned -1 day. The primary analysis was a bayesian cumulative logistic model that included all patients enrolled with severe COVID-19, adjusting for age, sex, site, region, time, assignment to interventions within other domains, and domain and intervention eligibility. Superiority was defined as the posterior probability of an odds ratio greater than 1 (threshold for trial conclusion of superiority >99%). RESULTS After excluding 19 participants who withdrew consent, there were 384 patients (mean age, 60 years; 29% female) randomized to the fixed-dose (n = 137), shock-dependent (n = 146), and no (n = 101) hydrocortisone groups; 379 (99%) completed the study and were included in the analysis. The mean age for the 3 groups ranged between 59.5 and 60.4 years; most patients were male (range, 70.6%-71.5%); mean body mass index ranged between 29.7 and 30.9; and patients receiving mechanical ventilation ranged between 50.0% and 63.5%. For the fixed-dose, shock-dependent, and no hydrocortisone groups, respectively, the median organ support-free days were 0 (IQR, -1 to 15), 0 (IQR, -1 to 13), and 0 (-1 to 11) days (composed of 30%, 26%, and 33% mortality rates and 11.5, 9.5, and 6 median organ support-free days among survivors). The median adjusted odds ratio and bayesian probability of superiority were 1.43 (95% credible interval, 0.91-2.27) and 93% for fixed-dose hydrocortisone, respectively, and were 1.22 (95% credible interval, 0.76-1.94) and 80% for shock-dependent hydrocortisone compared with no hydrocortisone. Serious adverse events were reported in 4 (3%), 5 (3%), and 1 (1%) patients in the fixed-dose, shock-dependent, and no hydrocortisone groups, respectively. CONCLUSIONS AND RELEVANCE Among patients with severe COVID-19, treatment with a 7-day fixed-dose course of hydrocortisone or shock-dependent dosing of hydrocortisone, compared with no hydrocortisone, resulted in 93% and 80% probabilities of superiority with regard to the odds of improvement in organ support-free days within 21 days. However, the trial was stopped early and no treatment strategy met prespecified criteria for statistical superiority, precluding definitive conclusions. TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT02735707.
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Affiliation(s)
- Derek C Angus
- The Clinical Research Investigation and Systems Modeling of Acute Illness (CRISMA) Center, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
- The UPMC Health System Office of Healthcare Innovation, Pittsburgh, Pennsylvania
| | - Lennie Derde
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands
- Intensive Care Center, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Farah Al-Beidh
- Division of Anaesthetics, Pain Medicine and Intensive Care Medicine, Department of Surgery and Cancer, Imperial College London and Imperial College Healthcare NHS Trust, London, United Kingdom
| | - Djillali Annane
- Intensive Care Unit, Raymond Poincaré Hospital (AP-HP), Paris, France
- Simone Veil School of Medicine, University of Versailles, Versailles, France
- University Paris Saclay, Garches, France
| | - Yaseen Arabi
- Intensive Care Department, College of Medicine, King Saud Bin Abdulaziz University for Health Sciences, King Abdullah International Medical Research Center, King Abdulaziz Medical City, Riyadh, Saudi Arabia
| | - Abigail Beane
- Nuffield Department of Clinical Medicine, University of Oxford, Oxford, United Kingdom
| | - Wilma van Bentum-Puijk
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands
| | | | - Zahra Bhimani
- Li Ka Shing Knowledge Institute, St Michael's Hospital, Toronto, Ontario, Canada
| | - Marc Bonten
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands
- Department of Medical Microbiology, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Charlotte Bradbury
- Bristol Royal Informatory, Bristol, United Kingdom
- University of Bristol, Bristol, United Kingdom
| | - Frank Brunkhorst
- Center for Clinical Studies and Center for Sepsis Control and Care (CSCC), Department of Anesthesiology and Intensive Care Medicine, Jena University Hospital, Jena, Germany
| | - Meredith Buxton
- Global Coalition for Adaptive Research, San Francisco, California
| | - Adrian Buzgau
- Helix, Monash University, Melbourne, Victoria, Australia
| | - Allen C Cheng
- Infection Prevention and Healthcare Epidemiology Unit, Alfred Health, Melbourne, Victoria, Australia
- Australian and New Zealand Intensive Care Research Centre, School of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Menno de Jong
- Department of Medical Microbiology, Amsterdam University Medical Center, University of Amsterdam, the Netherlands
| | | | - Lise Estcourt
- NHS Blood and Transplant, Bristol, United Kingdom
- Transfusion Medicine, Medical Sciences Division, University of Oxford, Oxford, United Kingdom
| | | | - Herman Goossens
- Department of Microbiology, Antwerp University Hospital, Antwerp, Belgium
| | - Cameron Green
- Australian and New Zealand Intensive Care Research Centre, School of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Rashan Haniffa
- Network for Improving Critical Care Systems and Training, Colombo, Sri Lanka
- Mahidol Oxford Tropical Medicine Research Unit, Bangkok, Thailand
| | - Alisa M Higgins
- Australian and New Zealand Intensive Care Research Centre, School of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Christopher Horvat
- The Clinical Research Investigation and Systems Modeling of Acute Illness (CRISMA) Center, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
- The UPMC Health System Office of Healthcare Innovation, Pittsburgh, Pennsylvania
| | - Sebastiaan J Hullegie
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Peter Kruger
- Intensive Care Unit, Princess Alexandra Hospital, Brisbane, Queensland, Australia
| | | | - Patrick R Lawler
- Cardiac Intensive Care Unit, Peter Munk Cardiac Centre, University Health Network, Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Kelsey Linstrum
- The Clinical Research Investigation and Systems Modeling of Acute Illness (CRISMA) Center, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Edward Litton
- School of Medicine and Pharmacology, University of Western Australia, Crawley, Western Australia, Australia
| | | | - John Marshall
- Li Ka Shing Knowledge Institute, St Michael's Hospital, Toronto, Ontario, Canada
- Interdepartmental Division of Critical Care, University of Toronto, Toronto, Ontario, Canada
| | - Daniel McAuley
- Centre for Experimental Medicine, School of Medicine, Dentistry and Biomedical Sciences, Queen's University Belfast, Belfast, United Kingdom
| | | | - Shay McGuinness
- Australian and New Zealand Intensive Care Research Centre, School of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
- Cardiothoracic and Vascular Intensive Care Unit, Auckland City Hospital, Auckland, New Zealand
- The Health Research Council of New Zealand, Wellington, New Zealand
- Medical Research Institute of New Zealand, Wellington, New Zealand
| | - Bryan McVerry
- Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Stephanie Montgomery
- The Clinical Research Investigation and Systems Modeling of Acute Illness (CRISMA) Center, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
- The UPMC Health System Office of Healthcare Innovation, Pittsburgh, Pennsylvania
| | - Paul Mouncey
- Clinical Trials Unit, Intensive Care National Audit & Research Centre (ICNARC), London, United Kingdom
| | - Srinivas Murthy
- University of British Columbia School of Medicine, Vancouver, Canada
| | - Alistair Nichol
- Australian and New Zealand Intensive Care Research Centre, School of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
- Department of Anesthesia and Intensive Care, St Vincent's University Hospital, Dublin, Ireland
- School of Medicine and Medical Sciences, University College Dublin, Dublin, Ireland
- Department of Intensive Care, Alfred Health, Melbourne, Victoria, Australia
| | - Rachael Parke
- Cardiothoracic and Vascular Intensive Care Unit, Auckland City Hospital, Auckland, New Zealand
- The Health Research Council of New Zealand, Wellington, New Zealand
- Medical Research Institute of New Zealand, Wellington, New Zealand
- School of Nursing, University of Auckland, Auckland, New Zealand
| | - Jane Parker
- Australian and New Zealand Intensive Care Research Centre, School of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Kathryn Rowan
- Clinical Trials Unit, Intensive Care National Audit & Research Centre (ICNARC), London, United Kingdom
| | | | - Marlene Santos
- Li Ka Shing Knowledge Institute, St Michael's Hospital, Toronto, Ontario, Canada
| | | | - Christopher Seymour
- The Clinical Research Investigation and Systems Modeling of Acute Illness (CRISMA) Center, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
- The UPMC Health System Office of Healthcare Innovation, Pittsburgh, Pennsylvania
| | - Anne Turner
- Medical Research Institute of New Zealand, Wellington, New Zealand
| | - Frank van de Veerdonk
- Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Balasubramanian Venkatesh
- Southside Clinical Unit, Princess Alexandra Hospital, Brisbane, Queensland, Australia
- The George Institute for Global Health, Sydney, Australia
| | - Ryan Zarychanski
- Department of Medicine, Critical Care and Hematology/Medical Oncology, University of Manitoba, Winnipeg, Manitoba, Canada
| | | | - Roger J Lewis
- Berry Consultants LLC, Austin, Texas
- Department of Emergency Medicine, Harbor-UCLA Medical Center, Torrance, California
- Department of Emergency Medicine, David Geffen School of Medicine at University of California, Los Angeles
| | - Colin McArthur
- Medical Research Institute of New Zealand, Wellington, New Zealand
- Department of Critical Care Medicine, Auckland City Hospital, Auckland, New Zealand
| | - Steven A Webb
- Australian and New Zealand Intensive Care Research Centre, School of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
- School of Medicine and Pharmacology, University of Western Australia, Crawley, Western Australia, Australia
- St John of God Hospital, Subiaco, Western Australia, Australia
| | - Anthony C Gordon
- Division of Anaesthetics, Pain Medicine and Intensive Care Medicine, Department of Surgery and Cancer, Imperial College London and Imperial College Healthcare NHS Trust, London, United Kingdom
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Angus DC, Derde L, Al-Beidh F, Annane D, Arabi Y, Beane A, van Bentum-Puijk W, Berry L, Bhimani Z, Bonten M, Bradbury C, Brunkhorst F, Buxton M, Buzgau A, Cheng AC, de Jong M, Detry M, Estcourt L, Fitzgerald M, Goossens H, Green C, Haniffa R, Higgins AM, Horvat C, Hullegie SJ, Kruger P, Lamontagne F, Lawler PR, Linstrum K, Litton E, Lorenzi E, Marshall J, McAuley D, McGlothin A, McGuinness S, McVerry B, Montgomery S, Mouncey P, Murthy S, Nichol A, Parke R, Parker J, Rowan K, Sanil A, Santos M, Saunders C, Seymour C, Turner A, van de Veerdonk F, Venkatesh B, Zarychanski R, Berry S, Lewis RJ, McArthur C, Webb SA, Gordon AC, Al-Beidh F, Angus D, Annane D, Arabi Y, van Bentum-Puijk W, Berry S, Beane A, Bhimani Z, Bonten M, Bradbury C, Brunkhorst F, Buxton M, Cheng A, De Jong M, Derde L, Estcourt L, Goossens H, Gordon A, Green C, Haniffa R, Lamontagne F, Lawler P, Litton E, Marshall J, McArthur C, McAuley D, McGuinness S, McVerry B, Montgomery S, Mouncey P, Murthy S, Nichol A, Parke R, Rowan K, Seymour C, Turner A, van de Veerdonk F, Webb S, Zarychanski R, Campbell L, Forbes A, Gattas D, Heritier S, Higgins L, Kruger P, Peake S, Presneill J, Seppelt I, Trapani T, Young P, Bagshaw S, Daneman N, Ferguson N, Misak C, Santos M, Hullegie S, Pletz M, Rohde G, Rowan K, Alexander B, Basile K, Girard T, Horvat C, Huang D, Linstrum K, Vates J, Beasley R, Fowler R, McGloughlin S, Morpeth S, Paterson D, Venkatesh B, Uyeki T, Baillie K, Duffy E, Fowler R, Hills T, Orr K, Patanwala A, Tong S, Netea M, Bihari S, Carrier M, Fergusson D, Goligher E, Haidar G, Hunt B, Kumar A, Laffan M, Lawless P, Lother S, McCallum P, Middeldopr S, McQuilten Z, Neal M, Pasi J, Schutgens R, Stanworth S, Turgeon A, Weissman A, Adhikari N, Anstey M, Brant E, de Man A, Lamonagne F, Masse MH, Udy A, Arnold D, Begin P, Charlewood R, Chasse M, Coyne M, Cooper J, Daly J, Gosbell I, Harvala-Simmonds H, Hills T, MacLennan S, Menon D, McDyer J, Pridee N, Roberts D, Shankar-Hari M, Thomas H, Tinmouth A, Triulzi D, Walsh T, Wood E, Calfee C, O’Kane C, Shyamsundar M, Sinha P, Thompson T, Young I, Bihari S, Hodgson C, Laffey J, McAuley D, Orford N, Neto A, Detry M, Fitzgerald M, Lewis R, McGlothlin A, Sanil A, Saunders C, Berry L, Lorenzi E, Miller E, Singh V, Zammit C, van Bentum Puijk W, Bouwman W, Mangindaan Y, Parker L, Peters S, Rietveld I, Raymakers K, Ganpat R, Brillinger N, Markgraf R, Ainscough K, Brickell K, Anjum A, Lane JB, Richards-Belle A, Saull M, Wiley D, Bion J, Connor J, Gates S, Manax V, van der Poll T, Reynolds J, van Beurden M, Effelaar E, Schotsman J, Boyd C, Harland C, Shearer A, Wren J, Clermont G, Garrard W, Kalchthaler K, King A, Ricketts D, Malakoutis S, Marroquin O, Music E, Quinn K, Cate H, Pearson K, Collins J, Hanson J, Williams P, Jackson S, Asghar A, Dyas S, Sutu M, Murphy S, Williamson D, Mguni N, Potter A, Porter D, Goodwin J, Rook C, Harrison S, Williams H, Campbell H, Lomme K, Williamson J, Sheffield J, van’t Hoff W, McCracken P, Young M, Board J, Mart E, Knott C, Smith J, Boschert C, Affleck J, Ramanan M, D’Souza R, Pateman K, Shakih A, Cheung W, Kol M, Wong H, Shah A, Wagh A, Simpson J, Duke G, Chan P, Cartner B, Hunter S, Laver R, Shrestha T, Regli A, Pellicano A, McCullough J, Tallott M, Kumar N, Panwar R, Brinkerhoff G, Koppen C, Cazzola F, Brain M, Mineall S, Fischer R, Biradar V, Soar N, White H, Estensen K, Morrison L, Smith J, Cooper M, Health M, Shehabi Y, Al-Bassam W, Hulley A, Whitehead C, Lowrey J, Gresha R, Walsham J, Meyer J, Harward M, Venz E, Williams P, Kurenda C, Smith K, Smith M, Garcia R, Barge D, Byrne D, Byrne K, Driscoll A, Fortune L, Janin P, Yarad E, Hammond N, Bass F, Ashelford A, Waterson S, Wedd S, McNamara R, Buhr H, Coles J, Schweikert S, Wibrow B, Rauniyar R, Myers E, Fysh E, Dawda A, Mevavala B, Litton E, Ferrier J, Nair P, Buscher H, Reynolds C, Santamaria J, Barbazza L, Homes J, Smith R, Murray L, Brailsford J, Forbes L, Maguire T, Mariappa V, Smith J, Simpson S, Maiden M, Bone A, Horton M, Salerno T, Sterba M, Geng W, Depuydt P, De Waele J, De Bus L, Fierens J, Bracke S, Reeve B, Dechert W, Chassé M, Carrier FM, Boumahni D, Benettaib F, Ghamraoui A, Bellemare D, Cloutier È, Francoeur C, Lamontagne F, D’Aragon F, Carbonneau E, Leblond J, Vazquez-Grande G, Marten N, Wilson M, Albert M, Serri K, Cavayas A, Duplaix M, Williams V, Rochwerg B, Karachi T, Oczkowski S, Centofanti J, Millen T, Duan E, Tsang J, Patterson L, English S, Watpool I, Porteous R, Miezitis S, McIntyre L, Brochard L, Burns K, Sandhu G, Khalid I, Binnie A, Powell E, McMillan A, Luk T, Aref N, Andric Z, Cviljevic S, Đimoti R, Zapalac M, Mirković G, Baršić B, Kutleša M, Kotarski V, Vujaklija Brajković A, Babel J, Sever H, Dragija L, Kušan I, Vaara S, Pettilä L, Heinonen J, Kuitunen A, Karlsson S, Vahtera A, Kiiski H, Ristimäki S, Azaiz A, Charron C, Godement M, Geri G, Vieillard-Baron A, Pourcine F, Monchi M, Luis D, Mercier R, Sagnier A, Verrier N, Caplin C, Siami S, Aparicio C, Vautier S, Jeblaoui A, Fartoukh M, Courtin L, Labbe V, Leparco C, Muller G, Nay MA, Kamel T, Benzekri D, Jacquier S, Mercier E, Chartier D, Salmon C, Dequin P, Schneider F, Morel G, L’Hotellier S, Badie J, Berdaguer FD, Malfroy S, Mezher C, Bourgoin C, Megarbane B, Voicu S, Deye N, Malissin I, Sutterlin L, Guitton C, Darreau C, Landais M, Chudeau N, Robert A, Moine P, Heming N, Maxime V, Bossard I, Nicholier TB, Colin G, Zinzoni V, Maquigneau N, Finn A, Kreß G, Hoff U, Friedrich Hinrichs C, Nee J, Pletz M, Hagel S, Ankert J, Kolanos S, Bloos F, Petros S, Pasieka B, Kunz K, Appelt P, Schütze B, Kluge S, Nierhaus A, Jarczak D, Roedl K, Weismann D, Frey A, Klinikum Neukölln V, Reill L, Distler M, Maselli A, Bélteczki J, Magyar I, Fazekas Á, Kovács S, Szőke V, Szigligeti G, Leszkoven J, Collins D, Breen P, Frohlich S, Whelan R, McNicholas B, Scully M, Casey S, Kernan M, Doran P, O’Dywer M, Smyth M, Hayes L, Hoiting O, Peters M, Rengers E, Evers M, Prinssen A, Bosch Ziekenhuis J, Simons K, Rozendaal W, Polderman F, de Jager P, Moviat M, Paling A, Salet A, Rademaker E, Peters AL, de Jonge E, Wigbers J, Guilder E, Butler M, Cowdrey KA, Newby L, Chen Y, Simmonds C, McConnochie R, Ritzema Carter J, Henderson S, Van Der Heyden K, Mehrtens J, Williams T, Kazemi A, Song R, Lai V, Girijadevi D, Everitt R, Russell R, Hacking D, Buehner U, Williams E, Browne T, Grimwade K, Goodson J, Keet O, Callender O, Martynoga R, Trask K, Butler A, Schischka L, Young C, Lesona E, Olatunji S, Robertson Y, José N, Amaro dos Santos Catorze T, de Lima Pereira TNA, Neves Pessoa LM, Castro Ferreira RM, Pereira Sousa Bastos JM, Aysel Florescu S, Stanciu D, Zaharia MF, Kosa AG, Codreanu D, Marabi Y, Al Qasim E, Moneer Hagazy M, Al Swaidan L, Arishi H, Muñoz-Bermúdez R, Marin-Corral J, Salazar Degracia A, Parrilla Gómez F, Mateo López MI, Rodriguez Fernandez J, Cárcel Fernández S, Carmona Flores R, León López R, de la Fuente Martos C, Allan A, Polgarova P, Farahi N, McWilliam S, Hawcutt D, Rad L, O’Malley L, Whitbread J, Kelsall O, Wild L, Thrush J, Wood H, Austin K, Donnelly A, Kelly M, O’Kane S, McClintock D, Warnock M, Johnston P, Gallagher LJ, Mc Goldrick C, Mc Master M, Strzelecka A, Jha R, Kalogirou M, Ellis C, Krishnamurthy V, Deelchand V, Silversides J, McGuigan P, Ward K, O’Neill A, Finn S, Phillips B, Mullan D, Oritz-Ruiz de Gordoa L, Thomas M, Sweet K, Grimmer L, Johnson R, Pinnell J, Robinson M, Gledhill L, Wood T, Morgan M, Cole J, Hill H, Davies M, Antcliffe D, Templeton M, Rojo R, Coghlan P, Smee J, Mackay E, Cort J, Whileman A, Spencer T, Spittle N, Kasipandian V, Patel A, Allibone S, Genetu RM, Ramali M, Ghosh A, Bamford P, London E, Cawley K, Faulkner M, Jeffrey H, Smith T, Brewer C, Gregory J, Limb J, Cowton A, O’Brien J, Nikitas N, Wells C, Lankester L, Pulletz M, Williams P, Birch J, Wiseman S, Horton S, Alegria A, Turki S, Elsefi T, Crisp N, Allen L, McCullagh I, Robinson P, Hays C, Babio-Galan M, Stevenson H, Khare D, Pinder M, Selvamoni S, Gopinath A, Pugh R, Menzies D, Mackay C, Allan E, Davies G, Puxty K, McCue C, Cathcart S, Hickey N, Ireland J, Yusuff H, Isgro G, Brightling C, Bourne M, Craner M, Watters M, Prout R, Davies L, Pegler S, Kyeremeh L, Arbane G, Wilson K, Gomm L, Francia F, Brett S, Sousa Arias S, Elin Hall R, Budd J, Small C, Birch J, Collins E, Henning J, Bonner S, Hugill K, Cirstea E, Wilkinson D, Karlikowski M, Sutherland H, Wilhelmsen E, Woods J, North J, Sundaran D, Hollos L, Coburn S, Walsh J, Turns M, Hopkins P, Smith J, Noble H, Depante MT, Clarey E, Laha S, Verlander M, Williams A, Huckle A, Hall A, Cooke J, Gardiner-Hill C, Maloney C, Qureshi H, Flint N, Nicholson S, Southin S, Nicholson A, Borgatta B, Turner-Bone I, Reddy A, Wilding L, Chamara Warnapura L, Agno Sathianathan R, Golden D, Hart C, Jones J, Bannard-Smith J, Henry J, Birchall K, Pomeroy F, Quayle R, Makowski A, Misztal B, Ahmed I, KyereDiabour T, Naiker K, Stewart R, Mwaura E, Mew L, Wren L, Willams F, Innes R, Doble P, Hutter J, Shovelton C, Plumb B, Szakmany T, Hamlyn V, Hawkins N, Lewis S, Dell A, Gopal S, Ganguly S, Smallwood A, Harris N, Metherell S, Lazaro JM, Newman T, Fletcher S, Nortje J, Fottrell-Gould D, Randell G, Zaman M, Elmahi E, Jones A, Hall K, Mills G, Ryalls K, Bowler H, Sall J, Bourne R, Borrill Z, Duncan T, Lamb T, Shaw J, Fox C, Moreno Cuesta J, Xavier K, Purohit D, Elhassan M, Bakthavatsalam D, Rowland M, Hutton P, Bashyal A, Davidson N, Hird C, Chhablani M, Phalod G, Kirkby A, Archer S, Netherton K, Reschreiter H, Camsooksai J, Patch S, Jenkins S, Pogson D, Rose S, Daly Z, Brimfield L, Claridge H, Parekh D, Bergin C, Bates M, Dasgin J, McGhee C, Sim M, Hay SK, Henderson S, Phull MK, Zaidi A, Pogreban T, Rosaroso LP, Harvey D, Lowe B, Meredith M, Ryan L, Hormis A, Walker R, Collier D, Kimpton S, Oakley S, Rooney K, Rodden N, Hughes E, Thomson N, McGlynn D, Walden A, Jacques N, Coles H, Tilney E, Vowell E, Schuster-Bruce M, Pitts S, Miln R, Purandare L, Vamplew L, Spivey M, Bean S, Burt K, Moore L, Day C, Gibson C, Gordon E, Zitter L, Keenan S, Baker E, Cherian S, Cutler S, Roynon-Reed A, Harrington K, Raithatha A, Bauchmuller K, Ahmad N, Grecu I, Trodd D, Martin J, Wrey Brown C, Arias AM, Craven T, Hope D, Singleton J, Clark S, Rae N, Welters I, Hamilton DO, Williams K, Waugh V, Shaw D, Puthucheary Z, Martin T, Santos F, Uddin R, Somerville A, Tatham KC, Jhanji S, Black E, Dela Rosa A, Howle R, Tully R, Drummond A, Dearden J, Philbin J, Munt S, Vuylsteke A, Chan C, Victor S, Matsa R, Gellamucho M, Creagh-Brown B, Tooley J, Montague L, De Beaux F, Bullman L, Kersiake I, Demetriou C, Mitchard S, Ramos L, White K, Donnison P, Johns M, Casey R, Mattocks L, Salisbury S, Dark P, Claxton A, McLachlan D, Slevin K, Lee S, Hulme J, Joseph S, Kinney F, Senya HJ, Oborska A, Kayani A, Hadebe B, Orath Prabakaran R, Nichols L, Thomas M, Worner R, Faulkner B, Gendall E, Hayes K, Hamilton-Davies C, Chan C, Mfuko C, Abbass H, Mandadapu V, Leaver S, Forton D, Patel K, Paramasivam E, Powell M, Gould R, Wilby E, Howcroft C, Banach D, Fernández de Pinedo Artaraz Z, Cabreros L, White I, Croft M, Holland N, Pereira R, Zaki A, Johnson D, Jackson M, Garrard H, Juhaz V, Roy A, Rostron A, Woods L, Cornell S, Pillai S, Harford R, Rees T, Ivatt H, Sundara Raman A, Davey M, Lee K, Barber R, Chablani M, Brohi F, Jagannathan V, Clark M, Purvis S, Wetherill B, Dushianthan A, Cusack R, de Courcy-Golder K, Smith S, Jackson S, Attwood B, Parsons P, Page V, Zhao XB, Oza D, Rhodes J, Anderson T, Morris S, Xia Le Tai C, Thomas A, Keen A, Digby S, Cowley N, Wild L, Southern D, Reddy H, Campbell A, Watkins C, Smuts S, Touma O, Barnes N, Alexander P, Felton T, Ferguson S, Sellers K, Bradley-Potts J, Yates D, Birkinshaw I, Kell K, Marshall N, Carr-Knott L, Summers C. Effect of Hydrocortisone on Mortality and Organ Support in Patients With Severe COVID-19: The REMAP-CAP COVID-19 Corticosteroid Domain Randomized Clinical Trial. JAMA 2020; 324:1317-1329. [PMID: 32876697 PMCID: PMC7489418 DOI: 10.1001/jama.2020.17022] [Citation(s) in RCA: 542] [Impact Index Per Article: 135.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
IMPORTANCE Evidence regarding corticosteroid use for severe coronavirus disease 2019 (COVID-19) is limited. OBJECTIVE To determine whether hydrocortisone improves outcome for patients with severe COVID-19. DESIGN, SETTING, AND PARTICIPANTS An ongoing adaptive platform trial testing multiple interventions within multiple therapeutic domains, for example, antiviral agents, corticosteroids, or immunoglobulin. Between March 9 and June 17, 2020, 614 adult patients with suspected or confirmed COVID-19 were enrolled and randomized within at least 1 domain following admission to an intensive care unit (ICU) for respiratory or cardiovascular organ support at 121 sites in 8 countries. Of these, 403 were randomized to open-label interventions within the corticosteroid domain. The domain was halted after results from another trial were released. Follow-up ended August 12, 2020. INTERVENTIONS The corticosteroid domain randomized participants to a fixed 7-day course of intravenous hydrocortisone (50 mg or 100 mg every 6 hours) (n = 143), a shock-dependent course (50 mg every 6 hours when shock was clinically evident) (n = 152), or no hydrocortisone (n = 108). MAIN OUTCOMES AND MEASURES The primary end point was organ support-free days (days alive and free of ICU-based respiratory or cardiovascular support) within 21 days, where patients who died were assigned -1 day. The primary analysis was a bayesian cumulative logistic model that included all patients enrolled with severe COVID-19, adjusting for age, sex, site, region, time, assignment to interventions within other domains, and domain and intervention eligibility. Superiority was defined as the posterior probability of an odds ratio greater than 1 (threshold for trial conclusion of superiority >99%). RESULTS After excluding 19 participants who withdrew consent, there were 384 patients (mean age, 60 years; 29% female) randomized to the fixed-dose (n = 137), shock-dependent (n = 146), and no (n = 101) hydrocortisone groups; 379 (99%) completed the study and were included in the analysis. The mean age for the 3 groups ranged between 59.5 and 60.4 years; most patients were male (range, 70.6%-71.5%); mean body mass index ranged between 29.7 and 30.9; and patients receiving mechanical ventilation ranged between 50.0% and 63.5%. For the fixed-dose, shock-dependent, and no hydrocortisone groups, respectively, the median organ support-free days were 0 (IQR, -1 to 15), 0 (IQR, -1 to 13), and 0 (-1 to 11) days (composed of 30%, 26%, and 33% mortality rates and 11.5, 9.5, and 6 median organ support-free days among survivors). The median adjusted odds ratio and bayesian probability of superiority were 1.43 (95% credible interval, 0.91-2.27) and 93% for fixed-dose hydrocortisone, respectively, and were 1.22 (95% credible interval, 0.76-1.94) and 80% for shock-dependent hydrocortisone compared with no hydrocortisone. Serious adverse events were reported in 4 (3%), 5 (3%), and 1 (1%) patients in the fixed-dose, shock-dependent, and no hydrocortisone groups, respectively. CONCLUSIONS AND RELEVANCE Among patients with severe COVID-19, treatment with a 7-day fixed-dose course of hydrocortisone or shock-dependent dosing of hydrocortisone, compared with no hydrocortisone, resulted in 93% and 80% probabilities of superiority with regard to the odds of improvement in organ support-free days within 21 days. However, the trial was stopped early and no treatment strategy met prespecified criteria for statistical superiority, precluding definitive conclusions. TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT02735707.
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Affiliation(s)
- Derek C Angus
- The Clinical Research Investigation and Systems Modeling of Acute Illness (CRISMA) Center, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
- The UPMC Health System Office of Healthcare Innovation, Pittsburgh, Pennsylvania
| | - Lennie Derde
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands
- Intensive Care Center, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Farah Al-Beidh
- Division of Anaesthetics, Pain Medicine and Intensive Care Medicine, Department of Surgery and Cancer, Imperial College London and Imperial College Healthcare NHS Trust, London, United Kingdom
| | - Djillali Annane
- Intensive Care Unit, Raymond Poincaré Hospital (AP-HP), Paris, France
- Simone Veil School of Medicine, University of Versailles, Versailles, France
- University Paris Saclay, Garches, France
| | - Yaseen Arabi
- Intensive Care Department, College of Medicine, King Saud Bin Abdulaziz University for Health Sciences, King Abdullah International Medical Research Center, King Abdulaziz Medical City, Riyadh, Saudi Arabia
| | - Abigail Beane
- Nuffield Department of Clinical Medicine, University of Oxford, Oxford, United Kingdom
| | - Wilma van Bentum-Puijk
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands
| | | | - Zahra Bhimani
- Li Ka Shing Knowledge Institute, St Michael's Hospital, Toronto, Ontario, Canada
| | - Marc Bonten
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands
- Department of Medical Microbiology, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Charlotte Bradbury
- Bristol Royal Informatory, Bristol, United Kingdom
- University of Bristol, Bristol, United Kingdom
| | - Frank Brunkhorst
- Center for Clinical Studies and Center for Sepsis Control and Care (CSCC), Department of Anesthesiology and Intensive Care Medicine, Jena University Hospital, Jena, Germany
| | - Meredith Buxton
- Global Coalition for Adaptive Research, San Francisco, California
| | - Adrian Buzgau
- Helix, Monash University, Melbourne, Victoria, Australia
| | - Allen C Cheng
- Infection Prevention and Healthcare Epidemiology Unit, Alfred Health, Melbourne, Victoria, Australia
- Australian and New Zealand Intensive Care Research Centre, School of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Menno de Jong
- Department of Medical Microbiology, Amsterdam University Medical Center, University of Amsterdam, the Netherlands
| | | | - Lise Estcourt
- NHS Blood and Transplant, Bristol, United Kingdom
- Transfusion Medicine, Medical Sciences Division, University of Oxford, Oxford, United Kingdom
| | | | - Herman Goossens
- Department of Microbiology, Antwerp University Hospital, Antwerp, Belgium
| | - Cameron Green
- Australian and New Zealand Intensive Care Research Centre, School of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Rashan Haniffa
- Network for Improving Critical Care Systems and Training, Colombo, Sri Lanka
- Mahidol Oxford Tropical Medicine Research Unit, Bangkok, Thailand
| | - Alisa M Higgins
- Australian and New Zealand Intensive Care Research Centre, School of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Christopher Horvat
- The Clinical Research Investigation and Systems Modeling of Acute Illness (CRISMA) Center, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
- The UPMC Health System Office of Healthcare Innovation, Pittsburgh, Pennsylvania
| | - Sebastiaan J Hullegie
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Peter Kruger
- Intensive Care Unit, Princess Alexandra Hospital, Brisbane, Queensland, Australia
| | | | - Patrick R Lawler
- Cardiac Intensive Care Unit, Peter Munk Cardiac Centre, University Health Network, Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Kelsey Linstrum
- The Clinical Research Investigation and Systems Modeling of Acute Illness (CRISMA) Center, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Edward Litton
- School of Medicine and Pharmacology, University of Western Australia, Crawley, Western Australia, Australia
| | | | - John Marshall
- Li Ka Shing Knowledge Institute, St Michael's Hospital, Toronto, Ontario, Canada
- Interdepartmental Division of Critical Care, University of Toronto, Toronto, Ontario, Canada
| | - Daniel McAuley
- Centre for Experimental Medicine, School of Medicine, Dentistry and Biomedical Sciences, Queen's University Belfast, Belfast, United Kingdom
| | | | - Shay McGuinness
- Australian and New Zealand Intensive Care Research Centre, School of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
- Cardiothoracic and Vascular Intensive Care Unit, Auckland City Hospital, Auckland, New Zealand
- The Health Research Council of New Zealand, Wellington, New Zealand
- Medical Research Institute of New Zealand, Wellington, New Zealand
| | - Bryan McVerry
- Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Stephanie Montgomery
- The Clinical Research Investigation and Systems Modeling of Acute Illness (CRISMA) Center, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
- The UPMC Health System Office of Healthcare Innovation, Pittsburgh, Pennsylvania
| | - Paul Mouncey
- Clinical Trials Unit, Intensive Care National Audit & Research Centre (ICNARC), London, United Kingdom
| | - Srinivas Murthy
- University of British Columbia School of Medicine, Vancouver, Canada
| | - Alistair Nichol
- Australian and New Zealand Intensive Care Research Centre, School of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
- Department of Anesthesia and Intensive Care, St Vincent's University Hospital, Dublin, Ireland
- School of Medicine and Medical Sciences, University College Dublin, Dublin, Ireland
- Department of Intensive Care, Alfred Health, Melbourne, Victoria, Australia
| | - Rachael Parke
- Cardiothoracic and Vascular Intensive Care Unit, Auckland City Hospital, Auckland, New Zealand
- The Health Research Council of New Zealand, Wellington, New Zealand
- Medical Research Institute of New Zealand, Wellington, New Zealand
- School of Nursing, University of Auckland, Auckland, New Zealand
| | - Jane Parker
- Australian and New Zealand Intensive Care Research Centre, School of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Kathryn Rowan
- Clinical Trials Unit, Intensive Care National Audit & Research Centre (ICNARC), London, United Kingdom
| | | | - Marlene Santos
- Li Ka Shing Knowledge Institute, St Michael's Hospital, Toronto, Ontario, Canada
| | | | - Christopher Seymour
- The Clinical Research Investigation and Systems Modeling of Acute Illness (CRISMA) Center, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
- The UPMC Health System Office of Healthcare Innovation, Pittsburgh, Pennsylvania
| | - Anne Turner
- Medical Research Institute of New Zealand, Wellington, New Zealand
| | - Frank van de Veerdonk
- Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Balasubramanian Venkatesh
- Southside Clinical Unit, Princess Alexandra Hospital, Brisbane, Queensland, Australia
- The George Institute for Global Health, Sydney, Australia
| | - Ryan Zarychanski
- Department of Medicine, Critical Care and Hematology/Medical Oncology, University of Manitoba, Winnipeg, Manitoba, Canada
| | | | - Roger J Lewis
- Berry Consultants LLC, Austin, Texas
- Department of Emergency Medicine, Harbor-UCLA Medical Center, Torrance, California
- Department of Emergency Medicine, David Geffen School of Medicine at University of California, Los Angeles
| | - Colin McArthur
- Medical Research Institute of New Zealand, Wellington, New Zealand
- Department of Critical Care Medicine, Auckland City Hospital, Auckland, New Zealand
| | - Steven A Webb
- Australian and New Zealand Intensive Care Research Centre, School of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
- School of Medicine and Pharmacology, University of Western Australia, Crawley, Western Australia, Australia
- St John of God Hospital, Subiaco, Western Australia, Australia
| | - Anthony C Gordon
- Division of Anaesthetics, Pain Medicine and Intensive Care Medicine, Department of Surgery and Cancer, Imperial College London and Imperial College Healthcare NHS Trust, London, United Kingdom
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20
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Schreyer KE, Del Portal DA, King LJL, Blome A, DeAngelis M, Stauffer K, Desrochers K, Donahue W, Politarhos N, Raab C, McNamara R. Emergency Department Management of the Covid-19 Pandemic. J Emerg Med 2020; 59:946-951. [PMID: 32948375 PMCID: PMC7346777 DOI: 10.1016/j.jemermed.2020.07.022] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2020] [Revised: 06/29/2020] [Accepted: 07/03/2020] [Indexed: 11/25/2022]
Abstract
BACKGROUND Emergency departments (EDs) need to be prepared to manage crises and disasters in both the short term and the long term. The coronavirus disease 2019 (COVID-19) pandemic has necessitated a rapid overhaul of several aspects of ED operations in preparation for a sustained response. OBJECTIVE We present the management of the COVID-19 crisis in 3 EDs (1 large academic site and 2 community sites) within the same health care system. DISCUSSION Aspects of ED throughput, including patient screening, patient room placement, and disposition are reviewed, along with departmental communication procedures and staffing models. Visitor policies are also discussed. Special considerations are given to airway management and the care of psychiatric patients. Brief guidance around the use of personal protective equipment is also included. CONCLUSIONS A crisis like the COVID-19 pandemic requires careful planning to facilitate urgent restructuring of many aspects of an ED. By sharing our departments' responses to the COVID-19 pandemic, we hope other departments can better prepare for this crisis and the next.
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Affiliation(s)
- Kraftin E Schreyer
- Department of Emergency Medicine, Temple University Hospital, Philadelphia, Pennsylvania
| | - Daniel A Del Portal
- Department of Emergency Medicine, Temple University Hospital, Philadelphia, Pennsylvania
| | - L J Linus King
- Department of Emergency Medicine, Temple University Hospital, Philadelphia, Pennsylvania
| | - Andrea Blome
- Department of Emergency Medicine, Temple University Hospital, Philadelphia, Pennsylvania
| | - Michael DeAngelis
- Department of Emergency Medicine, Temple University Hospital, Philadelphia, Pennsylvania
| | - Karen Stauffer
- Department of Nursing, Temple University Hospital, Episcopal Campus, Philadelphia, Pennsylvania
| | - Kevin Desrochers
- Department of Nursing, Temple University Hospital, Philadelphia, Pennsylvania
| | - William Donahue
- Department of Nursing, Jeanes Hospital, Philadelphia, Pennsylvania
| | - Nancy Politarhos
- Department of Nursing, Temple University Hospital, Philadelphia, Pennsylvania
| | - Claire Raab
- Department of Internal Medicine, Temple University Hospital, Philadelphia, Pennsylvania
| | - Robert McNamara
- Department of Emergency Medicine, Temple University Hospital, Philadelphia, Pennsylvania
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21
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Harrois A, Anstey JR, Deane AM, Craig S, Udy AA, McNamara R, Bellomo R. Effects of Routine Position Changes and Tracheal Suctioning on Intracranial Pressure in Traumatic Brain Injury Patients. J Neurotrauma 2020; 37:2227-2233. [PMID: 32403976 DOI: 10.1089/neu.2019.6873] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Patient position change and tracheal suctioning are routine interventions in mechanically ventilated traumatic brain injury (TBI) patients. We sought to better understand the impact of these interventions on intracranial pressure (ICP) and cerebral hemodynamics. We conducted a prospective study in TBI patients requiring ICP monitoring. The timing of position changes and suctioning episodes were recorded with concurrent blood pressure and ICP measurements. We collected data on 460 patient position changes and 204 suctioning episodes over 2404 h in 18 ventilated patients (mean age 34 [13] years, median Glasgow Coma Score 4 [3-7]). We recorded 24 (20-31) positioning and 11 (6-18) suctioning episodes per patient, with 54% and 39% of position changes associated with ICP ≥22 mm Hg and cerebral perfusion pressure (CPP) <60 mm Hg, respectively, and 22% and 27% of suctioning episodes associated with an ICP ≥22 mm Hg and CPP <60 mm Hg. The median change in ICP was 11 (6-16) mm Hg after position changes and 3 (1-9) mm Hg after suctioning. Reduction in CPP to <60 mm Hg lasted ≥10 min in 17% of positioning and 11% of suctioning episodes. The baseline ICP and its amplitude were both predictive of a rise in ICP ≥22 mm Hg after positioning and suctioning episodes, whereas cerebral autoregulation was not. Baseline CPP was predictive of a decrease in CPP <60 mm Hg after both interventions. Increases in ICP and reductions in CPP are common following patient positioning and tracheal suctioning episodes. Frequently, these changes are substantial and sustained.
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Affiliation(s)
- Anatole Harrois
- Intensive Care Unit, Level 5, Royal Melbourne Hospital, Parkville, Victoria, Australia.,Department of Anesthesia and Surgical Intensive Care, Paris Sud University, Orsay, France
| | - James R Anstey
- Intensive Care Unit, Level 5, Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - Adam M Deane
- Intensive Care Unit, Level 5, Royal Melbourne Hospital, Parkville, Victoria, Australia.,Center for Integrated Critical Care, University of Melbourne, Melbourne, Victoria, Australia
| | - Sally Craig
- Intensive Care Unit, Level 5, Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - Andrew A Udy
- Australian and New Zealand Intensive Care Research Center, Monash University, Melbourne, Victoria, Australia.,Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.,Intensive Care Unit, the Alfred Hospital, Melbourne, Victoria, Australia
| | - Robert McNamara
- Department of Intensive Care Medicine, Royal Perth Hospital, Perth, Western Australia, Australia.,Faculty of Health and Medical Sciences, University of Western Australia, Perth, Western Australia, Australia
| | - Rinaldo Bellomo
- Intensive Care Unit, Level 5, Royal Melbourne Hospital, Parkville, Victoria, Australia.,Center for Integrated Critical Care, University of Melbourne, Melbourne, Victoria, Australia.,Australian and New Zealand Intensive Care Research Center, Monash University, Melbourne, Victoria, Australia.,Department of Intensive Care, Austin Health, Melbourne, Victoria, Australia
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22
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Ryan E, Bolger T, Barrett MJ, Blackburn C, Okafor I, McNamara R, Molloy EJ. Paediatric Head Injury and Traumatic Brain Injury. Ir Med J 2020; 113:94. [PMID: 32816429] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
Aim To determine prevalence of head injury presenting to paediatric emergency departments (PEDs) and characterise by demographics, triage category, disposition neuroimaging or re-attendance. Methods Presentations in 2014 and 2015, with diagnoses of head injury, intracranial bleed, skull fracture including single or re-attendances within 28 days post head injury to all national PEDs, were analysed. Demographics, triage score, imaging rate, admission, mechanisms and representation rate were recorded. Results Head injury was diagnosed in 13,392 of 224,860 (5.9%), median (IQR) age 3.9 (1.4 - 8.3) years. Regionally 3% of children <5 years attend each year. The total admitted/transferred was 10.8% (n=1460). Neuroimaging rate was 4.3% (n= 570). Falls predominated. Sport accounted for 12.2%. Conclusion One in twenty children PED presentations are head injury, over half in preschool children. A sizeable number were symptomatic reflected by admission, transfer, imaging or re-attendance. Observational management was favoured over imaging reflected in the higher admission versus imaging rate.
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Affiliation(s)
- E Ryan
- Paediatrics, Children's Hospital Ireland (CHI) at Tallaght, Tallaght University Hospital, Dublin
- Discipline of Paediatrics, School of Medicine, Trinity College, the University of Dublin
| | - T Bolger
- Paediatrics, Children's Hospital Ireland (CHI) at Tallaght, Tallaght University Hospital, Dublin
| | - M J Barrett
- Emergency Medicine, CHI at Crumlin, Dublin
- Women's & Children's Health, School of Medicine, University College, Dublin
- National Children's Research Centre, Dublin
| | - C Blackburn
- Emergency Medicine, CHI at Crumlin, Dublin
- Women's & Children's Health, School of Medicine, University College, Dublin
| | - I Okafor
- Emergency Medicine, CHI at Temple Street
| | - R McNamara
- Emergency Medicine, CHI at Temple Street
| | - E J Molloy
- Paediatrics, Children's Hospital Ireland (CHI) at Tallaght, Tallaght University Hospital, Dublin
- Discipline of Paediatrics, School of Medicine, Trinity College, the University of Dublin
- Neonatology, CHI at Crumlin, Dublin
- National Children's Research Centre, Dublin
- Neonatology, Coombe Women and Infants' University Hospital, Dublin, Ireland
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23
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Tormey P, Callender O, Fitzpatrick P, Okafor I, McNamara R, Kandamany N. Introduction of the low risk ankle rule to a paediatric emergency department. Injury 2020; 51:633-635. [PMID: 32037005 DOI: 10.1016/j.injury.2020.01.040] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/21/2019] [Accepted: 01/28/2020] [Indexed: 02/02/2023]
Abstract
INTRODUCTION Ankle injuries are a common presentation to the paediatric emergency department (PED), accounting for approximately 2% of presentations.1 X-rays are ordered for 85-95% of patients but only 12% of x-rays reveal a fracture. Clinical prediction rules, such as The Low Risk Ankle Rule (LRAR) exist to help clinicians safely reduce the frequency of radiography in these injuries. The LRAR has been shown to reduce imaging by up to 60% without missing any clinically significant fractures. We sought to introduce The LRAR into our department and study its outcomes on our practice. AIMS To introduce the LRAR into our department and study its effects on our radiography rate and length of stay (LOS). METHODS An audit of x-ray rates in ankle injuries in 2016 was performed to determine our department's baseline rate of radiography and LOS. We then conducted education sessions and created x-ray ordering prompts to encourage clinicians to use the LRAR. We introduced the LRAR, with a pilot period initially, and gathered data prospectively. RESULTS 969 patients presented in with an ankle injury in 2016, 90.7% of these patients had an x-ray. The median LOS was 109 min. 92 patients presented during the LRAR implementation period with an ankle injury. Nine patients had exclusion criteria from using the LRAR and the attending physician did not use the LRAR in four patients. Of the remaining 79 patients, 49 had a LRAR positive exam. Only one of these patients went on to have an x-ray, which was normal. The 30 patients with a LRAR negative exam all had an x-ray. Overall, our x-ray rate during the study period was 40/92 (43.4%), a reduction of 47.3%. The average LOS during the study was 101 min. No clinically significant fractures were missed. CONCLUSION The LRAR can safely and effectively reduce the rate of radiography in ankle injuries, without missing any clinically significant fractures.
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Affiliation(s)
- P Tormey
- Emergency Department, Temple Street Hospital, Dublin, Ireland.
| | - O Callender
- Emergency Department, Temple Street Hospital, Dublin, Ireland
| | - P Fitzpatrick
- Emergency Department, Temple Street Hospital, Dublin, Ireland
| | - I Okafor
- Emergency Department, Temple Street Hospital, Dublin, Ireland
| | - R McNamara
- Emergency Department, Temple Street Hospital, Dublin, Ireland
| | - N Kandamany
- Emergency Department, Temple Street Hospital, Dublin, Ireland
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24
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Upadhyaya K, Pawar S, Shah N, Dillon C, Meoli E, McNamara R, Miller E, Sugeng L. DETECTION OF PROSTHETIC AORTIC VALVE ENDOCARDITIS WITH ROOT ABSCESS USING FDG-PET IMAGING. J Am Coll Cardiol 2020. [DOI: 10.1016/s0735-1097(20)33775-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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25
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Fitzgerald E, Foley D, McNamara R, Barrett E, Boylan C, Butler J, Morgan S, Okafor I. Trends in Mental Health Presentations to a Paediatric Emergency Department. Ir Med J 2020; 113:20. [PMID: 32401083] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
Aims This study aimed to analyse trends in mental health presentations to the Emergency Department (ED), which anecdotally had increased over the past decade. Methods The ED's electronic 'Symphony' system was used to identify the annual number of presentations categorised as having a mental health complaint from 2006-2017. A detailed analysis was performed on presentations over a one-year period. Results The number of presentations increased from 69 in 2006 to a peak of 432 in 2016 (526% increase). The overall admission rate was 33.3%(n=99), while 52.5%(n=156) of presentations occurred outside of standard working hours. Similar increases were documented by other ED's worldwide, and the WHO estimate that neuropsychiatric disorders will become one of the top five causes of morbidity, mortality and disability among children by 2020. Conclusion With the number of mental health presentations dramatically increasing, carefully designed and integrated strategies are required to pro-actively tackle this growing epidemic.
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Affiliation(s)
- E Fitzgerald
- Emergency Department, Children's University Hospital, Temple Street, Dublin
| | - D Foley
- Emergency Department, Children's University Hospital, Temple Street, Dublin
| | - R McNamara
- Emergency Department, Children's University Hospital, Temple Street, Dublin
| | - E Barrett
- Department of Psychiatry, Children's University Hospital, Temple Street, Dublin
| | - C Boylan
- Department of Psychiatry, Children's University Hospital, Temple Street, Dublin
| | - J Butler
- Department of Psychiatry, Children's University Hospital, Temple Street, Dublin
| | - S Morgan
- St. Patrick's University Hospital, Dublin
| | - I Okafor
- Emergency Department, Children's University Hospital, Temple Street, Dublin
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26
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Albert NM, Gluckman TJ, McNamara R, Fonarow GC, Malik A, Brindis RG, Lu D, Negi S, Rogers S, Mobayed J. Abstract 102: The Association of Patient Navigator Program Features and Hospital Strategies with Processes and Outcome Metrics in Acute Myocardial Infarction and Heart Failure. Circ Cardiovasc Qual Outcomes 2019. [DOI: 10.1161/hcq.12.suppl_1.102] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background:
Association between hospital site-led structure, system and process changes, number of site-initiated technologies, the perceived value of program-directed services aimed at promoting quality improvement and process and outcome metrics achieved are unknown after a 2-year acute myocardial infarction and heart failure (AMI-HF) quality program.
Methods:
After participation in the Patient Navigator Program, hospitals (n=35) completed surveys on the implementation of structure, system and process changes, number of site-initiated technologies, and the perceived value of program directed educational calls and webinars, quality-focused site visits, use of a list-serv that facilitated site coordinator communication and data reports. Univariate analyses assessed the associations of each factor with 30-day unadjusted AMI-HF rehospitalization and in-hospital risk adjusted AMI death and 14 AMI-HF process metrics.
Results:
When hospital structure, system and process changes were high, sites were more likely to improve 30-day HF re-hospitalization,
p
=0.014. The number of site-initiated technologies and the value of using a list-serv to communicate with other program sites were not associated with outcome or process metric changes from baseline to 2 years. Sites that rated program-led educational calls and webinars as a high value were more likely to improve AMI-HF self-care education documentation,
p
=0.049. Sites that rated quality-related site visits as high value were more likely to improve left ventricular systolic dysfunction evaluation,
p
=0.035 and 30-day unadjusted AMI-HF rehospitalization rates (
p
=0.021 and 0.007, respectively). Sites who rated the value of data reports more highly were less likely to improve 30-day unadjusted AMI rehospitalization,
p
=0.006 and more likely to improve 30-day HF rehospitalization,
p
=0.033.
Conclusion:
Hospital-initiated structure-system-process changes and Patient Navigator Program-directed services that were perceived as high value, especially site visits and data reports, were more likely to be associated with improved 30-day HF re-hospitalization rates and some process improvements compared to baseline.
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Affiliation(s)
| | - Ty J Gluckman
- Providence Heart and Vascular Institute, Portland, OR
| | | | | | | | | | - Di Lu
- Duke Clinical Rsch Institute, Durham, NC
| | | | - Susan Rogers
- American College of Cardiology, Washington DC, DC
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27
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Hastings RP, Gillespie D, Flynn S, McNamara R, Taylor Z, Knight R, Randell E, Richards L, Moody G, Mitchell A, Przybylak P, Williams B, Hunt PH. Who's challenging who training for staff empathy towards adults with challenging behaviour: cluster randomised controlled trial. J Intellect Disabil Res 2018; 62:798-813. [PMID: 30033655 DOI: 10.1111/jir.12536] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/31/2018] [Revised: 06/21/2018] [Accepted: 06/26/2018] [Indexed: 06/08/2023]
Abstract
BACKGROUND One in five adults with intellectual disabilities (ID) known to services display challenging behaviours (CBs), and these individuals are at risk for restrictive practices and poor care. Staff attitudes may contribute to the development and/or maintenance of CBs. We investigated the effectiveness of co-produced Who's Challenging Who? training delivered by people with ID to staff. METHOD This study involved a cluster randomised controlled trial (RCT) of Who's Challenging Who? training with follow-up at six and 20 weeks post-randomisation. PARTICIPANTS two staff from each of 118 residential care settings for adults with ID at least one of whom displayed aggressive CB. PRIMARY OUTCOME Self-reported Staff Empathy for people with Challenging Behaviour Questionnaire. ANALYSIS intention to treat of all randomised settings. ISCRTN registration: ISRCTN53763600. RESULTS 118 residential settings (including 236 staff) were randomised to either receive training (59 settings) or to receive training after a delay (59 settings). The primary analysis included data from 121 staff in 76 settings (51% of staff, 64% of settings). The adjusted mean difference on the transformed (cubed) Staff Empathy for people with Challenging Behaviour Questionnaire score at the primary end point was 1073.2 (95% CI: -938.1 to 3084.5, P = 0.296) in favour of the intervention group (effect size Cohen's d = .19). CONCLUSIONS This is the first large-scale RCT of a co-produced training course delivered by people with ID. Findings indicated a small positive (but statistically non-significant) effect on increased staff empathy at 20 weeks, and small to moderate effects for staff reported secondary outcomes in favour of the intervention group.
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Affiliation(s)
- R P Hastings
- Centre for Educational Development, Appraisal and Research, University of Warwick, UK
- Centre for Developmental Psychiatry and Psychology, Department of Psychiatry, School of Clinical Sciences at Monash Health, Monash University, Australia
| | - D Gillespie
- Centre for Trials Research, Cardiff University, UK
| | - S Flynn
- Centre for Educational Development, Appraisal and Research, University of Warwick, UK
| | - R McNamara
- Centre for Trials Research, Cardiff University, UK
| | - Z Taylor
- Royal Mencap Society, London, UK
| | - R Knight
- Centre for Educational Development, Appraisal and Research, University of Warwick, UK
| | - E Randell
- Centre for Trials Research, Cardiff University, UK
| | - L Richards
- Centre for Educational Development, Appraisal and Research, University of Warwick, UK
| | - G Moody
- Centre for Trials Research, Cardiff University, UK
| | - A Mitchell
- Centre for Educational Development, Appraisal and Research, University of Warwick, UK
| | - P Przybylak
- Centre for Educational Development, Appraisal and Research, University of Warwick, UK
| | - B Williams
- Centre for Educational Development, Appraisal and Research, University of Warwick, UK
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McNamara R, Deane AM, Anstey J, Bellomo R. Understanding the rationale for parenteral ascorbate (vitamin C) during an acute inflammatory reaction: a biochemical perspective. CRIT CARE RESUSC 2018; 20:174-179. [PMID: 30153778] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Affiliation(s)
- Robert McNamara
- Department of Intensive Care, Royal Perth Hospital, University of Western Australia, Perth, WA, Australia.
| | - Adam M Deane
- Department of Intensive Care, Royal Melbourne Hospital, University of Melbourne, Melbourne, Vic, Australia
| | - James Anstey
- Department of Intensive Care, Royal Melbourne Hospital, University of Melbourne, Melbourne, Vic, Australia
| | - Rinaldo Bellomo
- Department of Intensive Care, Royal Melbourne Hospital, University of Melbourne, Melbourne, Vic, Australia
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29
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Uí Bhroin S, McNamara R, Kidney E. Methaemoglobinaemia: A Blue Light Emergency. Ir Med J 2018; 111:717. [PMID: 30376235] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Abstract
We present the case of a patient with severe methaemoglobinaemia secondary to “poppers”. She presented with decreased level of consciousness and cyanosis. A methaemoglobin level was not available prior to treatment but the patient responded well and the diagnosis was confirmed afterwards.
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Albert NM, Gluckman T, McNamara R, Fonarow GC, Malik A, Brindis R, Lu D, Roe M, Tingley J, Negi S, Goldberg LR, Rogers S, Mobayed J, Patel S, Pruski B, Hewitt K, Fanari Z, Lucas J. CHANGES IN HOSPITAL PERFORMANCE AND TRANSITION-CARE MEASURES 1-YEAR AFTER INITIATION OF THE PATIENT NAVIGATOR PROGRAM. J Am Coll Cardiol 2018. [DOI: 10.1016/s0735-1097(18)31196-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
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Mody P, Wang T, McNamara R, Das S, Li S, Chiswell K, Tsai T, Kumbhani D, Wiviott S, Goyal A, Roe M, de Lemos JA. Association of acute kidney injury and chronic kidney disease with processes of care and long-term outcomes in patients with acute myocardial infarction. European Heart Journal - Quality of Care and Clinical Outcomes 2017; 4:43-50. [DOI: 10.1093/ehjqcco/qcx020] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/31/2017] [Accepted: 06/21/2017] [Indexed: 11/13/2022]
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Robinson A, Jain A, Gentry M, McNamara R. RISK OF LEFT VENTRICULAR THROMBUS AFTER STEMI IN THE PRIMARY PCI ERA: A SYSTEMATIC REVIEW AND META-ANALYSIS. J Am Coll Cardiol 2016. [DOI: 10.1016/s0735-1097(16)30490-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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McNamara R, Rovida S, Darcis S, Ritson J, Dunlop H. P-028: Early recognition of cognitive impairment in the ED: a pilot study. Eur Geriatr Med 2015. [DOI: 10.1016/s1878-7649(15)30131-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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Nanna M, Bazylevska V, Wong R, Murphy T, Bellumkonda L, McNamara R. IN HOSPITAL WEIGHT CHANGE IS NOT ASSOCIATED WITH READMISSION RISK IN PATIENTS WITH HEART FAILURE. J Am Coll Cardiol 2015. [DOI: 10.1016/s0735-1097(15)60812-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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Moore C, Crowley E, Doyle J, Okafor I, McNamara R, Deiratany S, Nicholson AJ. New hazards in paediatric poisoning presentations. Ir Med J 2015; 108:58-59. [PMID: 25803960] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/04/2023]
Abstract
Accidental ingestion is an important preventable cause of childhood morbidity. All accidental ingestion presentations (n = 478) to a tertiary paediatric ED from January 2010 to December 2011 were analysed. These results were compared with a similar study in the same institution ten years previously in 2001 and showed that while accidental ingestions constituted a higher proportion of presentations (0.5% in this study v 0.45% in 2001), fewer had investigations performed (21% v 35%) and fewer were admitted (7% v 20%). Accidental ingestions account for 0.5% of presentations and are an important focus of home safety information for parents and guardians. Paracetamol (n = 67, 14%) and liquid detergent capsules (n = 44, 9.2%) were the two most common substances implicated in these presentations, and have the potential to cause severe morbidity and mortality.
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Barzman D, Eliassen J, McNamara R, Abonia P, Mossman D, Durling M, Adler C, DelBello M, Lin PI. Correlations of inflammatory gene pathways, corticolimbic functional activities, and aggression in pediatric bipolar disorder: a preliminary study. Psychiatry Res 2014; 224:107-11. [PMID: 25172408 PMCID: PMC4197049 DOI: 10.1016/j.pscychresns.2014.07.009] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/04/2013] [Revised: 02/17/2014] [Accepted: 07/30/2014] [Indexed: 11/29/2022]
Abstract
The mechanisms underlying aggression in adolescents with bipolar disorder have been poorly understood. The present study has investigated the associations among TNF gene expressions, functional brain activations under the frustrative non-reward task, and aggression in adolescents with bipolar disorder. Baseline gene expressions and aggressive tendencies were measured with the RNA-sequencing and Brief Rating of Aggression by Children and Adolescents (BRACHA), respectively. Our results show that activity levels of left subgenual anterior cingulate gyrus (ACG), right amygdala, left Brodmann area 10 (orbitofrontal cortex), and right thalamus were inversely correlated with BRACHA scores and were activated with frustrative non-reward during the affective Posner Task. In addition, 11 TNF related gene expressions were significantly correlated with activation of amygdala or ACG during the affective Posner Task. Three TNF gene expressions were inversely correlated with BRACHA score while one TNF gene (TNFAIP3) expression was positively correlated with BRACHA score. Therefore, TNF-related inflammatory cytokine genes may play a role in neural activity associated with frustrative non-reward and aggressive behaviors in pediatric bipolar disorder.
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Affiliation(s)
- Drew Barzman
- Division of Child and Adolescent Psychiatry, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA,Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Jim Eliassen
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati College of Medicine, Cincinnati, OH, USA,Center for Image Research, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Robert McNamara
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Pablo Abonia
- Division of Allergy and Clinical Immunology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Douglas Mossman
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Michele Durling
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Caleb Adler
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati College of Medicine, Cincinnati, OH, USA,Center for Image Research, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Melissa DelBello
- Division of Child and Adolescent Psychiatry, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA,Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Ping-I Lin
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati College of Medicine, Cincinnati, OH, USA; Division of Biostatistics and Epidemiology, Cincinnati Children׳s Hospital Medical Center, Cincinnati, OH, USA.
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Martin DR, McNamara R. The CORD Standardized Letter of Evaluation: Have We Achieved Perfection or Just a Better Understanding of Our Limitations? J Grad Med Educ 2014; 6:353-4. [PMID: 24949150 PMCID: PMC4054745 DOI: 10.4300/jgme-d-14-00172.1] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
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McNamara R, Butler A, Baker C, Mullen J, Lenehan B, Grimes S, O'Donoghue H, Evans P, Liston M, Cummins F, Condon F. Use of lean principals to improve flow of patients with fractured neck of femur--the HOPE study. Ir Med J 2014; 107:70-72. [PMID: 24757887] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/03/2023]
Abstract
We describe the implementation of a care pathway for patients with fractured neck of femur (NOF) using Lean and Six Sigma principles. After introduction of the Lean pathway, 32 patients out a total of 86 (37%) with fractured NOF were admitted to the Trauma Ward within 4 hours of presentation to the hospital; prior to implementation this was 16 patients out of a total of 59 (27%). Post-Lean an earlier mean theatre start time of 8.40am was achieved, resulting in a 38 minute increase in daily theatre time. An additional 52 patients (12%) received surgery within 24 hours of admission, resulting in 1 night length of stay reduction. Lean methodology proved an effective method to guide change resulting in an improved journey for the patient and significant workflow gains.
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Freyne B, Doyle J, McNamara R, Nicholson AJ. Epidemiology of high falls from windows in children. Ir Med J 2014; 107:57-59. [PMID: 24654490] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/03/2023]
Abstract
Falls from a height result in significant morbidity and mortality worldwide. Targeted prevention strategies in the US combined data collection, publicity campaigns and building regulation and reduced high falls in New York by 93%. This retrospective cohort study describes children who fell from a height presenting or referred to Children's University Hospital Temple St. over a 2 year period. Case ascertainment was through the Emergency Department Symphony registration system and the Trauma Area Research Network (TARN) database. Forty five falls were identified, 33 falls (73.3%) were in children less than 5 with boys being three times more likely to fall. Forty four falls were from windows, 31 from < 12 feet and 7 were witnessed. Injury severity Scores (ISS) correlated to height of fall; both deaths fells from > 24ft. A publicity campaign is warranted to highlight the frequency of injury following falls from windows. Building legislation is required to safeguard high windows and balconies. A post fall questionnaire would enable the collection of unbiased forensic data.
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Spruit MA, Pitta F, Garvey C, ZuWallack RL, Roberts CM, Collins EG, Goldstein R, McNamara R, Surpas P, Atsuyoshi K, Lopez-Campos JL, Vogiatzis I, Williams JEA, Lareau S, Brooks D, Troosters T, Singh SJ, Hartl S, Clini EM, Wouters EFM. Differences in content and organisational aspects of pulmonary rehabilitation programmes. Eur Respir J 2013; 43:1326-37. [DOI: 10.1183/09031936.00145613] [Citation(s) in RCA: 186] [Impact Index Per Article: 16.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
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Hayward R, Lee J, Keeble J, McNamara R, Hall C, Cruse S, Gupta P, Robinson E. The UN Global Compact-Accenture CEO Study on Sustainability 2013. ACTA ACUST UNITED AC 2013. [DOI: 10.5848/ungc.5720.2014.0015] [Citation(s) in RCA: 36] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Vanattou-Saïfoudine N, McNamara R, Harkin A. Caffeine provokes adverse interactions with 3,4-methylenedioxymethamphetamine (MDMA, 'ecstasy') and related psychostimulants: mechanisms and mediators. Br J Pharmacol 2012; 167:946-59. [PMID: 22671762 PMCID: PMC3492978 DOI: 10.1111/j.1476-5381.2012.02065.x] [Citation(s) in RCA: 43] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2012] [Revised: 05/04/2012] [Accepted: 05/18/2012] [Indexed: 11/27/2022] Open
Abstract
Concomitant consumption of caffeine with recreational psychostimulant drugs of abuse can provoke severe acute adverse reactions in addition to longer term consequences. The mechanisms by which caffeine increases the toxicity of psychostimulants include changes in body temperature regulation, cardiotoxicity and lowering of the seizure threshold. Caffeine also influences the stimulatory, discriminative and reinforcing effects of psychostimulant drugs. In this review, we consider our current understanding of such caffeine-related drug interactions, placing a particular emphasis on an adverse interaction between caffeine and the substituted amphetamine, 3,4-methylenedioxymethamphetamine (MDMA, 'ecstasy'), which has been most recently described and characterized. Co-administration of caffeine profoundly enhances the acute toxicity of MDMA in rats, as manifested by high core body temperature, tachycardia and increased mortality. In addition, co-administration of caffeine enhances the long-term serotonergic neurotoxicity induced by MDMA. Observations to date support an interactive model of drug-induced toxicity comprising MDMA-related enhancement of dopamine release coupled to a caffeine-mediated antagonism of adenosine receptors in addition to inhibition of PDE. These experiments are reviewed together with reports of caffeine-related drug interactions with cocaine, d-amphetamine and ephedrine where similar mechanisms are implicated. Understanding the underlying mechanisms will guide appropriate intervention strategies for the management of severe reactions and potential for increased drug-related toxicity, resulting from concomitant caffeine consumption.
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Affiliation(s)
- N Vanattou-Saïfoudine
- Neuropsychopharmacology Research Group, School of Pharmacy and Pharmaceutical Sciences & Trinity College Institute of Neuroscience, Trinity College, Dublin, Ireland
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Simpson SA, Shaw C, McNamara R. [How can successful weight reduction be maintained the best?]. Praxis (Bern 1994) 2012; 101:539-543. [PMID: 22492075 DOI: 10.1024/1661-8157/a000906] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/31/2023]
Affiliation(s)
- S A Simpson
- South East Wales Trials Unit, School of Medicine, Cardiff University, Grossbritannien.
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Gregory J, Robling M, Bennert K, Channon S, Cohen D, Crowne E, Hambly H, Hawthorne K, Hood K, Longo M, Lowes L, McNamara R, Pickles T, Playle R, Rollnick S, Thomas-Jones E. Development and evaluation by a cluster randomised trial of a psychosocial intervention in children and teenagers experiencing diabetes: the DEPICTED study. Health Technol Assess 2011; 15:1-202. [PMID: 21851764 DOI: 10.3310/hta15290] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
OBJECTIVE To develop and evaluate a health-care communication training programme to help diabetes health-care professionals (HCPs) counsel their patients more skilfully, particularly in relation to behaviour change. DESIGN The HCP training was assessed using a pragmatic, cluster randomised controlled trial. The primary and secondary analyses were intention-to-treat comparisons of outcomes using multilevel modelling to allow for cluster (service) and individual effects, and involved two-level linear models. SETTING Twenty-six UK paediatric diabetes services. PARTICIPANTS The training was delivered to HCPs (doctors, nurses, dietitians and psychologists) working in paediatric diabetes services and the effectiveness of this training was measured in 693 children aged 4-15 years and families after 1 year (95.3% follow-up). INTERVENTIONS A blended learning programme was informed by a systematic review of the literature, telephone and questionnaire surveys of professional practice, focus groups with children and parents, experimental consultations and three developmental workshops involving a stakeholder group. The programme focused on agenda-setting, flexible styles of communication (particularly guiding) and a menu of strategies using web-based training and practical workshops. MAIN OUTCOME MEASURES The primary trial outcome was a change in glycosylated haemoglobin (HbA1c) levels between the start and finish of a 12-month study period. Secondary trial outcomes included change in quality of life, other clinical [including body mass index (BMI)] and psychosocial measures (assessed at participant level as listed above) and cost (assessed at service level). In addition, patient details (HbA1c levels, height, weight, BMI, insulin regimen), health service contacts and patient-borne costs were recorded at each clinic visit, along with details of who patients consulted with, for how long, and whether or not patients consulted on their own at each visit. Patients and carers were also asked to complete an interim questionnaire assessing patient enablement (or feelings towards clinic visit for younger patients aged 7-10 years) at their first clinic visit following the start of the trial. The cost of the intervention included the cost of training intervention teams. RESULTS Trained staff showed better skills than control subjects in agenda-setting and consultation strategies, which waned from 4 to 12 months. There was no effect on HbA1c levels (p = 0.5). Patients in intervention clinics experienced a loss of confidence in their ability to manage diabetes, whereas controls showed surprisingly reduced barriers (p = 0.03) and improved adherence (p = 0.05). Patients in intervention clinics reported short-term increased ability (p = 0.04) to cope with diabetes. Parents in the intervention arm experienced greater excitement (p = 0.03) about clinic visits and improved continuity of care (p = 0.01) without the adverse effects seen in their offspring. The mean cost of training was £13,145 per site or £2163 per trainee. There was no significant difference in total NHS costs (including training) between groups (p = 0.1). CONCLUSIONS Diabetes HCPs can be trained to improve consultation skills, but these skills need reinforcing. Over 1 year, no benefits were seen in children, unlike parents, who may be better placed to support their offspring. Further modification of this training is required to improve outcomes that may need to be measured over a longer time to see effects. TRIAL REGISTRATION Current Controlled Trials ISRCTN61568050. FUNDING This project was funded by the NIHR Health Technology Assessment programme and will be published in full in Health Technology Assessment; Vol. 15, No. 29. See the HTA programme website for further project information.
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Affiliation(s)
- Jw Gregory
- Department of Child Health, School of Medicine, Cardiff University, Cardiff, UK
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Abstract
Evaluation of the emergency department patient with acute abdominal pain may be challenging. Many factors can obscure the clinical findings leading to incorrect diagnosis and subsequent adverse outcomes. Clinicians must consider multiple diagnoses with limited time and information, giving priority to life-threatening conditions that require expeditious management to avoid morbidity and mortality. This article seeks to provide the clinician with the clinical tools to achieve these goals by reviewing the anatomic and physiological basis of abdominal pain and key components of the history and the physical examination. In addition, this article discusses the approach to unstable patients with abdominal pain.
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Affiliation(s)
- Robert McNamara
- Department of Emergency Medicine, Temple University School of Medicine, Philadelphia, PA 19140, USA.
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Martin R, Thomas G, Charles K, Epitropaki O, McNamara R. The role of leader-member exchanges in mediating the relationship between locus of control and work reactions. Journal of Occupational and Organizational Psychology 2011. [DOI: 10.1348/096317904x23763] [Citation(s) in RCA: 100] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
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47
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Vanattou-Saïfoudine N, McNamara R, Harkin A. Mechanisms mediating the ability of caffeine to influence MDMA ('Ecstasy')-induced hyperthermia in rats. Br J Pharmacol 2010; 160:860-77. [PMID: 20590585 DOI: 10.1111/j.1476-5381.2010.00660.x] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
Abstract
BACKGROUND AND PURPOSE Caffeine exacerbates the hyperthermia associated with an acute exposure to 3,4 methylenedioxymethamphetamine (MDMA, 'Ecstasy') in rats. The present study investigated the mechanisms mediating this interaction. EXPERIMENTAL APPROACH Adult male Sprague-Dawley rats were treated with caffeine (10 mg x kg(-1); i.p.) and MDMA (15 mg x kg(-1); i.p.) alone and in combination. Core body temperatures were monitored before and after drug administration. KEY RESULTS Central catecholamine depletion blocked MDMA-induced hyperthermia and its exacerbation by caffeine. Caffeine provoked a hyperthermic response when the catecholamine releaser d-amphetamine (1 mg x kg(-1)) was combined with the 5-HT releaser D-fenfluramine (5 mg x kg(-1)) or the non-selective dopamine receptor agonist apomorphine (1 mg x kg(-1)) was combined with the 5-HT(2) receptor agonist DOI (2 mg x kg(-1)) but not following either agents alone. Pretreatment with the dopamine D(1) receptor antagonist Schering (SCH) 23390 (1 mg x kg(-1)), the 5-HT(2) receptor antagonist ketanserin (5 mg x kg(-1)) or alpha(1)-adreno- receptor antagonist prazosin (0.2 mg x kg(-1)) blocked MDMA-induced hyperthermia and its exacerbation by caffeine. Co-administration of a combination of MDMA with the PDE-4 inhibitor rolipram (0.025 mg x kg(-1)) and the adenosine A(1/2) receptor antagonist 9-chloro-2-(2-furanyl)-[1,2,4]triazolo[1,5-C]quinazolin-5-amine 15943 (10 mg x kg(-1)) or the A(2A) receptor antagonist SCH 58261 (2 mg x kg(-1)) but not the A(1) receptor antagonist DPCPX (10 mg x kg(-1)) exacerbated MDMA-induced hyperthermia. CONCLUSIONS AND IMPLICATIONS A mechanism comprising 5-HT and catecholamines is proposed to mediate MDMA-induced hyperthermia. A combination of adenosine A(2A) receptor antagonism and PDE inhibition can account for the exacerbation of MDMA-induced hyperthermia by caffeine.
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Affiliation(s)
- N Vanattou-Saïfoudine
- Neuropsychopharmacology Research Group, School of Pharmacy and Pharmaceutical Sciences & Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland
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Bonde P, Zeevi A, Toyoda Y, Kormos R, Bhama J, McNamara R, Teuteberg J, Sareyyupoglu B, Horai T, Shullo M. 455: Applications of a Uniform Strategy of Virtual Cross Match in Heart Transplantation. J Heart Lung Transplant 2010. [DOI: 10.1016/j.healun.2009.11.471] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022] Open
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Shaw C, McNamara R, Abrams K, Cannings-John R, Hood K, Longo M, Myles S, O'Mahony S, Roe B, Williams K. Systematic review of respite care in the frail elderly. Health Technol Assess 2009; 13:1-224, iii. [DOI: 10.3310/hta13200] [Citation(s) in RCA: 75] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Affiliation(s)
- C Shaw
- Department of Care Sciences, University of Glamorgan, Pontypridd, UK
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Lipson J, Bernhardt J, Block U, Freeman WR, Hofmeister R, Hristakeva M, Lenosky T, McNamara R, Petrasek D, Veltkamp D, Waydo S. Requirements for calibration in noninvasive glucose monitoring by Raman spectroscopy. J Diabetes Sci Technol 2009; 3:233-41. [PMID: 20144354 PMCID: PMC2771519 DOI: 10.1177/193229680900300203] [Citation(s) in RCA: 24] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Abstract
BACKGROUND In the development of noninvasive glucose monitoring technology, it is highly desirable to derive a calibration that relies on neither person-dependent calibration information nor supplementary calibration points furnished by an existing invasive measurement technique (universal calibration). METHOD By appropriate experimental design and associated analytical methods, we establish the sufficiency of multiple factors required to permit such a calibration. Factors considered are the discrimination of the measurement technique, stabilization of the experimental apparatus, physics-physiology-based measurement techniques for normalization, the sufficiency of the size of the data set, and appropriate exit criteria to establish the predictive value of the algorithm. RESULTS For noninvasive glucose measurements, using Raman spectroscopy, the sufficiency of the scale of data was demonstrated by adding new data into an existing calibration algorithm and requiring that (a) the prediction error should be preserved or improved without significant re-optimization, (b) the complexity of the model for optimum estimation not rise with the addition of subjects, and (c) the estimation for persons whose data were removed entirely from the training set should be no worse than the estimates on the remainder of the population. Using these criteria, we established guidelines empirically for the number of subjects (30) and skin sites (387) for a preliminary universal calibration. We obtained a median absolute relative difference for our entire data set of 30 mg/dl, with 92% of the data in the Clarke A and B ranges. CONCLUSIONS Because Raman spectroscopy has high discrimination for glucose, a data set of practical dimensions appears to be sufficient for universal calibration. Improvements based on reducing the variance of blood perfusion are expected to reduce the prediction errors substantially, and the inclusion of supplementary calibration points for the wearable device under development will be permissible and beneficial.
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Affiliation(s)
- Jan Lipson
- C8 MediSensors, Los Gatos, California, USA.
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