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328 results on '"Reed, Matthew J."'

9. Multi-centre Randomised Controlled Trial of a Smartphone-based Event Recorder Alongside Standard Care Versus Standard Care for Patients Presenting to the Emergency Department with Palpitations and Pre-syncope: The IPED (Investigation of Palpitations in the ED) study

Author

Reed, Matthew J., Grubb, Neil R., Lang, Christopher C., O'Brien, Rachel, Simpson, Kirsty, Padarenga, Mia, Grant, Alison, Tuck, Sharon, Keating, Liza, Coffey, Frank, Jones, Lucy, Harris, Tim, Lloyd, Gavin, Gagg, James, Smith, Jason E., and Coats, Tim

Published
2019
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10. Management of syncope in the Emergency Department: a European prospective cohort study (SEED).

Author

Reed, Matthew J., Karuranga, Suvi, Kearns, David, Alawiye, Salma, Clarke, Ben, Möckel, Martin, Karamercan, Mehmet, Janssens, Kelly, Riesgo, Luis Garcia-Castrillo, Torrecilla, Francisco Moya, Golea, Adela, Fernández Cejas, Juan Antonio, Lupan-Muresan, Eugenia Maria, Zaimi, Edmond, Nuernberger, Alexander, Rennét, Ondřej, Skjaerbaek, Christian, Polyzogopoulou, Effie, Imecz, Judit, and Groff, Paolo

Published
2024
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14. Diagnosis of Acute Aortic Syndrome in the Emergency Department (DAShED) study: an observational cohort study of people attending the emergency department with symptoms consistent with acute aortic syndrome

Author

McLatchie, Rachel, primary, Reed, Matthew J, additional, Freeman, Nicola, additional, Parker, Richard A, additional, Wilson, Sarah, additional, Goodacre, Steve, additional, Cowan, Alicia, additional, Boyle, Jessica, additional, Clarke, Benjamin, additional, and Clarke, Ellise, additional

Published
2023
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18. Journal update monthly top five

Author

Clarke, Benjamin, primary, Alawiye, Salma, additional, Anderson, Rory, additional, Moceivei, Clare, additional, Cox, Thomas James, additional, Sharpe, Joseph, additional, Reed, Matthew J, additional, and Jafar, Anisa Jabeen Nasir, additional

Published
2023
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20. Diagnostic accuracy of alternative biomarkers for acute aortic syndrome: a systematic review

Author

Wren, Joshua, Goodacre, Steve, Pandor, Abdullah, Essat, Munira, Clowes, Mark, Cooper, Graham, Hinchliffe, Robert, Reed, Matthew J, Thomas, Steven, and Wilson, Sarah

Abstract

BackgroundD-dimer is the only biomarker currently recommended in guidelines for the diagnosis of acute aortic syndrome (AAS). We undertook a systematic review to determine whether any alternative biomarkers could be useful in AAS diagnosis.MethodsWe searched electronic databases (including MEDLINE, EMBASE and the Cochrane Library) from inception to February 2024. Diagnostic studies were eligible if they examined biomarkers other than D-dimer for diagnosing AAS compared with a reference standard test in people presenting to the ED with symptoms of AAS. Case-control studies were identified but excluded due to high risk of bias. Selection of studies, data extraction and risk of bias assessments using the Quality Assessment of Diagnostic Accuracy Studies 2 (QUADAS-2) tool were undertaken independently by at least two reviewers. We used narrative synthesis to summarise the findings.ResultsWe identified 2017 citations, included 13 cohort studies (n=76–999), and excluded 38 case-control studies. Methodological quality was variable, with most included studies having unclear or high risk of bias and applicability concerns in at least one item of the QUADAS‐2 tool. Only two studies reported biomarkers with sensitivity and specificity comparable to D-dimer (ie, >90% and >50%, respectively). Wang et alreported 99.1% sensitivity and 84.9% specificity for soluble ST2; however, these findings conflicted with estimates of 58% sensitivity and 70.8% specificity reported in another study. Chun and Siu reported 95.6% sensitivity and 56.1% specificity for neutrophil count, but this has not been confirmed elsewhere.ConclusionThere are many potential alternative biomarkers for AAS but few have been evaluated in more than one study, study designs are often weak and reported biomarker accuracy is modest or inconsistent between studies. Alternative biomarkers to D-dimer are not ready for routine clinical use.PROSPERO registration numberCRD42022252121.

Published
2024
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22. Multicentre open label randomised controlled trial of immediate enhanced ambulatory ECG monitoring versus standard monitoring in acute unexplained syncope patients: the ASPIRED study

Author

Reed, Matthew J, primary, Grubb, Neil, additional, Lang, Chris, additional, Goodacre, Steve, additional, O’Brien, Rachel, additional, Weir, Christopher J, additional, Thokala, Praveen, additional, Freeman, Nicola, additional, Blackstock, Caroline, additional, Dinsmore, Lynn, additional, Boyd, Julia, additional, Adamestam, Imad, additional, Macrae, Pam, additional, Hannigan, Robert, additional, and Lobban, Trudie, additional

Published
2023
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26. Duration of External Neck Stabilisation (DENS) following odontoid fracture in older or frail adults: protocol for a randomised controlled trial of collar versus no collar

Author

Woodfield, Julie, primary, Edlmann, Ellie, additional, Black, Polly L, additional, Boyd, Julia, additional, Copley, Phillip Correia, additional, Cranswick, Gina, additional, Eborall, Helen, additional, Keerie, Catriona, additional, Khan, Sadaquate, additional, Lawton, Julia, additional, Lowe, David J, additional, Norrie, John, additional, Niven, Angela, additional, Reed, Matthew J, additional, Shenkin, Susan Deborah, additional, Statham, Patrick, additional, Stoddart, Andrew, additional, Tomlinson, James, additional, and Brennan, Paul M, additional

Published
2022
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27. Pulmonary embolism management in the emergency department

Author

Serebriakoff, Philippa, Cafferkey, John, de Wit, Kerstin, Horner, Daniel E, and Reed, Matthew J

Subjects
thrombo-embolic disease, thrombolysis, pulmonary embolism, emergency care systems, management
Abstract

Pulmonary embolism (PE) can present with a range of severity. Prognostic risk stratification is important for efficacious and safe management. This second of two review articles discusses the management of high-, intermediate- and low-risk PE. We discuss strategies to identify patients suitable for urgent outpatient care in addition to identification of patients who would benefit from thrombolysis. We discuss specific subgroups of patients where optimal treatment differs from the usual approach and identify emerging management paradigms exploring new therapies and subgroups.

Published
2022

28. Vibrational spectroscopy for the triage of traumatic brain injury computed tomography priority and hospital admissions

Author

Theakstone, Ashton G., Brennan, Paul M., Ashton, Katherine, Czeiter, Endre, Jenkinson, Michael D., Syed, Khaja, Reed, Matthew J., Baker, Matthew J., Theakstone, Ashton G., Brennan, Paul M., Ashton, Katherine, Czeiter, Endre, Jenkinson, Michael D., Syed, Khaja, Reed, Matthew J., and Baker, Matthew J.

Abstract

Computed tomography (CT) brain imaging is routinely used to support clinical decision-making in patients with traumatic brain injury (TBI). Only 7% of scans, however, demonstrate evidence of TBI. The other 93% of scans contribute a significant cost to the healthcare system and a radiation risk to patients. There may be better strategies to identify which patients, particularly those with mild TBI, are at risk of deterioration and require hospital admission. We introduce a blood serum liquid biopsy that utilizes attenuated total reflectance (ATR)-Fourier transform infrared (FTIR) spectroscopy with machine learning algorithms as a decision-making tool to identify which patients with mild TBI will most likely present with a positive CT scan. Serum samples were obtained from patients (n = 298) patients who had acquired a TBI and were enrolled in CENTER-TBI and from asymptomatic control patients (n = 87). Injury patients (all severities) were stratified against non-injury controls. The cohort with mild TBI was further examined by stratifying those who had at least one CT abnormality against those who had no CT abnormalities. The test performed exceptionally well in classifications of patients with mild injury versus non-injury controls (sensitivity = 96.4% and specificity = 98.0%) and also provided a sensitivity of 80.2% when stratifying mild patients with at least one CT abnormality against those without. The results provided illustrate the test ability to identify four of every five CT abnormalities and show great promise to be introduced as a triage tool for CT priority in patients with mild TBI.

Published
2022
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33. Contextualizing the Results: Improving the Order of Merit List.

Author

Reed, Matthew J.

Subjects
*MILITARY education, *ORGANIZATIONAL behavior, *MILITARY personnel
Abstract

The article discusses the need for improvement in the talent evaluation board process for Army noncommissioned officers (NCOs). Topics include the Army's current system of evaluating NCOs through a forced distribution system, the lack of context and feedback provided to NCOs, and suggestions for enhancing the feedback mechanisms by providing average board scores, contextualizing the results through data visualization, and offering personalized feedback based on performance indicators.

Published
2023

35. Syncope clinical management in the emergency department: a consensus from the first international workshop on syncope risk stratification in the emergency department

Author

Costantino, Giorgio, Sun, Benjamin C., Barbic, Franca, Bossi, Ilaria, Casazza, Giovanni, Dipaola, Franca, McDermott, Daniel, Quinn, James, Reed, Matthew J., Sheldon, Robert S., Solbiati, Monica, Thiruganasambandamoorthy, Venkatesh, Beach, Daniel, Bodemer, Nicolai, Brignole, Michele, Casagranda, Ivo, Del Rosso, Attilio, Duca, Piergiorgio, Falavigna, Greta, Grossman, Shamai A., Ippoliti, Roberto, Krahn, Andrew D., Montano, Nicola, Morillo, Carlos A., Olshansky, Brian, Raj, Satish R., Ruwald, Martin H., Sarasin, Francois P., Shen, Win-Kuang, Stiell, Ian, Ungar, Andrea, Gert van Dijk, J., van Dijk, Nynke, Wieling, Wouter, and Furlan, Raffaello

Published
2016
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37. Why do emergency department clinicians miss acute aortic syndrome? A case series and descriptive analysis.

Author

McLatchie, Rachel, Wilson, Sarah, Reed, Matthew J., Ticehurst, Francoise, Easterford, Kathryn, Alawiye, Salma, Cowan, Alicia, and Gupta, Aakash

Subjects
EMERGENCY medicine, AORTIC diseases
Abstract

The objective of this study was to understand why the diagnosis of Acute Aortic Syndrome (AAS) is missed in the ED, and to characterise the presenting features of cases in which a diagnosis of AAS was missed. A retrospective case series cohort study was performed, identifying and analysing cases where AAS was misdiagnosed in three UK EDs between 1st January 2011 and 31st December 2020. Forty-three cases were included, 22 of which were type A aortic dissections. The most common incorrect presumed diagnoses made were acute coronary syndrome (28%), pulmonary embolism (12%) and 'non-specific chest pain' (12%). In 31 cases (72%) there was no evidence from the notes that the clinician had considered AAS in the differential diagnosis. In 10 cases (23%), AAS was considered, but the clinician was falsely reassured by atypical or resolved symptoms, clinical examination, or normal chest x-ray. We conclude that ED clinicians may miss AAS by not considering it as a possibility, being falsely reassured by atypical or resolved symptoms, or mistaking it for other more common conditions. Further prospective work is necessary to establish the role of diagnostic aids and biomarkers in UK EDs. [ABSTRACT FROM AUTHOR]

Published
2023
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38. Syncope Time Frames for Adverse Events after Emergency Department Presentation: An Individual Patient Data Meta-Analysis

Author

Furlan, Ludovico, primary, Trombetta, Lucia, additional, Casazza, Giovanni, additional, Dipaola, Franca, additional, Furlan, Raffaello, additional, Marta, Chiara, additional, Numeroso, Filippo, additional, Pérez-Rodon, Jordi, additional, Quinn, James V., additional, Reed, Matthew J., additional, Sheldon, Robert S., additional, Shen, Win-Kuang, additional, Sun, Benjamin C., additional, Thiruganasambandamoorthy, Venkatesh, additional, Ungar, Andrea, additional, Costantino, Giorgio, additional, and Solbiati, Monica, additional

Published
2021
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41. Discontinuation of Dual Antiplatelet Therapy Over 12 Months after Acute Coronary Syndromes Increases Risk for Adverse Events in Patients Treated with Percutaneous Coronary Intervention: Systematic Review and Meta-Analysis

Author

DʼASCENZO, FABRIZIO, COLOMBO, FRANCESCO, BARBERO, UMBERTO, MORETTI, CLAUDIO, OMEDÈ, PIERLUIGI, REED, MATTHEW J., TARANTINI, GIUSEPPE, FRATI, GIACOMO, DI NICOLANTONIO, JAMES J., BIONDI ZOCCAI, GIUSEPPE, and GAITA, FIORENZO

Published
2014
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43. CT imaging in idiopathic out-of-hospital cardiac arrest: An assessment of current practice and diagnostic utility.

Author

Harper, Isla, Easterford, Kate, and Reed, Matthew J.

Subjects
CARDIAC arrest, COMPUTED tomography, EMERGENCY medical services, STROKE, ANGIOGRAPHY, ACUTE coronary syndrome, PULMONARY embolism
Abstract

Idiopathic Out-Of-Hospital Cardiac Arrest (OHCA) requires urgent treatment. Early Computed Tomography (CT) imaging may be useful to aid diagnosis. We aimed to determine current CT imaging practice, safety, and diagnostic value in this patient population. This study was a single-centre, retrospective cohort study of patients presenting to the Emergency Department (ED) of the Royal Infirmary of Edinburgh with idiopathic non-traumatic OHCA and Return Of Spontaneous Circulation (ROSC). Between 1st January 2016 and 31st December 2019, 140 of 156 (90%) eligible patients underwent 195 CT scans identifying the cause of OHCA in 6 (4%). CT head diagnosed one ischaemic and three haemorrhagic strokes, and CT pulmonary angiogram diagnosed one acute coronary syndrome and one pulmonary embolism. CT head (134), CT pulmonary angiogram (25) and CT cervical spine (16) were the commonest scans. 68 of 195 (35%) CT scans showed important pathology, mostly secondary to OHCA. CT imaging was safe with no cases of contrast nephropathy, allergic reaction, or other complications. The diagnostic value of CT imaging in this patient population was limited. However, imaging was a valuable method of identifying other important secondary pathology. [ABSTRACT FROM AUTHOR]

Published
2022
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44. Personalized risk stratification through attribute matching for clinical decision making in clinical conditions with aspecific symptoms: The example of syncope

Author

Solbiati, Monica, Quinn, James V., Dipaola, Franca, Duca, Piergiorgio, Furlan, Raffaello, Montano, Nicola, Reed, Matthew J., Sheldon, Robert S., Sun, Benjamin C., Ungar, Andrea, Casazza, Giovanni, and Costantino, Giorgio

Subjects
Adult, Male, Critical Care and Emergency Medicine, Clinical Research Design, Epidemiology, Cerebrovascular Diseases, Clinical Decision-Making, Decision Making, Social Sciences, Pathology and Laboratory Medicine, Research and Analysis Methods, Risk Assessment, Syncope, Electrocardiography, Database and Informatics Methods, Signs and Symptoms, Cognition, Diagnostic Medicine, Medicine and Health Sciences, Humans, Psychology, Precision Medicine, Aged, Electrophysiological Techniques, Cognitive Psychology, Correction, Biology and Life Sciences, Middle Aged, Bioassays and Physiological Analysis, Neurology, Research Design, Medical Risk Factors, Cognitive Science, Female, Adverse Events, Cardiac Electrophysiology, Emergency Service, Hospital, Research Article, Neuroscience
Abstract

Background Risk stratification is challenging in conditions, such as chest pain, shortness of breath and syncope, which can be the manifestation of many possible underlying diseases. In these cases, decision tools are unlikely to accurately identify all the different adverse events related to the possible etiologies. Attribute matching is a prediction method that matches an individual patient to a group of previously observed patients with identical characteristics and known outcome. We used syncope as a paradigm of clinical conditions presenting with aspecific symptoms to test the attribute matching method for the prediction of the personalized risk of adverse events. Methods We selected the 8 predictor variables common to the individual-patient dataset of 5 prospective emergency department studies enrolling 3388 syncope patients. We calculated all possible combinations and the number of patients in each combination. We compared the predictive accuracy of attribute matching and logistic regression. We then classified ten random patients according to clinical judgment and attribute matching. Results Attribute matching provided 253 of the 384 possible combinations in the dataset. Twelve (4.7%), 35 (13.8%), 50 (19.8%) and 160 (63.2%) combinations had a match size ≥50, ≥30, ≥20 and

Published
2020

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