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Thursday 24 January 2019

WUTH publication: Cancelled operations: a 7-day cohort study of planned adult inpatient surgery in 245 UK National Health Service hospitals

Citation: British Journal of Anaesthesia. 2018, 121(4), 730-738. Epub 2018 Sep 7.
Author: Wong DJN, Harris SK, Moonesinghe SR, SNAP-2: EPICCS collaborators, Health Services Research Centre, National Institute of Academic Anaesthesia, Study Steering Group, Net Solving Limited, Trainee Research Networks, Abertawe Bro Morgannwg University Health Board, Aintree University Hospitals NHS Foundation Trust, Airedale NHS Foundation Trust, Aneurin Bevan Health Board, Ashford & St Peters NHS Foundation Trust, Barking, Havering and Redbridge University Hospitals NHS Trust, Barnsley Hospital NHS Foundation Trust, Barts Health NHS Trust, Basildon and Thurrock University Hospitals NHS Foundation Trust, Bedford Hospital NHS Trust, Belfast Health and Social Care Trust, Betsi Cadwaladr University Health Board, Birmingham Women's NHS Foundation Trust, Blackpool Teaching Hospitals NHS Foundation Trust, Bolton Hospital NHS Foundation Trust, Bradford Teaching Hospitals NHS Foundation Trust, Brighton and Sussex University Hospitals NHS Trust, Buckinghamshire Healthcare NHS Trust, Burton Hospitals NHS Foundation Trust, Calderdale and Huddersfield NHS Foundation Trust, Cambridge University Hospitals NHS Foundation Trust, Cardiff and Vale University Health Board, Central Manchester University Hospitals NHS Foundation Trust, Chelsea and Westminster Hospital NHS Foundation Trust, Chesterfield Royal Hospital NHS Foundation Trust, Christie Hospital NHS Foundation Trust, City Hospitals Sunderland NHS Foundation Trust, Colchester Hospital University NHS Foundation Trust, Countess of Chester NHS Foundation Trust, County Durham and Darlington NHS Foundation Trust, Croydon Health Services NHS Trust, Cwm Taf University Health Board, Dartford and Gravesham NHS Trust, Derby Hospitals NHS Foundation Trust, Doncaster and Bassetlaw Hospitals NHS Foundation Trust, Dorset County Hospital NHS Foundation Trust, Dudley Group NHS Foundation Trust, East and North Hertfordshire NHS Trust, East Kent Hospitals University NHS Foundation Trust, East Lancashire Hospitals NHS Trust, East Sussex Healthcare NHS Trust, Epsom and St Helier University Hospitals NHS Trust, Frimley Health NHS Foundation Trust, Gateshead Health NHS Foundation Trust, Gloucestershire Hospitals NHS Foundation Trust, Great Western Hospitals NHS Foundation Trust, Guy's and St Thomas' NHS Foundation Trust, Hampshire Hospitals NHS Foundation Trust, Harrogate and District NHS Foundation Trust, Heart Of England NHS Foundation Trust, Hillingdon Hospitals NHS Foundation Trust, Homerton University Hospital NHS Foundation Trust, Hull and East Yorkshire Hospitals NHS Trust, Hywel Dda Health Board, Imperial College Healthcare NHS Trust, Ipswich Hospital NHS Trust, Isle of Wight NHS Trust, James Paget University Hospitals NHS Foundation Trust, Kettering General Hospital NHS Foundation Trust, King's College Hospital NHS Foundation Trust, Kingston Hospital NHS Foundation Trust, Lancashire Teaching Hospitals NHS Foundation Trust, Leeds Teaching Hospitals NHS Trust, Lewisham and Greenwich NHS Trust, Liverpool Women's NHS Foundation Trust, Luton and Dunstable University Hospital NHS Foundation Trust, Medway NHS Foundation Trust, Mid Cheshire Hospitals NHS Foundation Trust, Mid Essex Hospital Services NHS Trust, Mid Yorkshire Hospitals NHS Trust, Milton Keynes University Hospital NHS Foundation Trust, Newcastle upon Tyne Hospitals NHS Foundation Trust, NHS Ayrshire & Arran, NHS Dumfries & Galloway, NHS Fife, NHS Greater Glasgow & Clyde, NHS Highland, NHS Lanarkshire, NHS Lothian, NHS Scotland Special Board, NHS Shetland, NHS Tayside, Norfolk and Norwich University Hospitals NHS Foundation Trust, Northampton General Hospital NHS Trust, North Bristol NHS Trust, North Cumbria University Hospitals NHS Trust, Northern Devon Healthcare NHS Trust, Northern Health and Social Care Trust, Northern Lincolnshire and Goole Hospitals NHS Foundation Trust, North Middlesex University Hospital NHS Trust, North Tees and Hartlepool NHS Trust, Northumbria Healthcare NHS Foundation Trust, North West Anglia NHS Foundation Trust, Nottingham University Hospitals NHS Trust, Oxford University Hospitals NHS Foundation Trust, Papworth Hospital NHS Foundation Trust, Pennine Acute NHS Trust, Plymouth Hospitals NHS Trust, Poole Hospital NHS Foundation Trust, Portsmouth Hospitals NHS Trust, Princess Alexandra Hospital NHS Trust, Queen Elizabeth Hospital NHS Foundation Trust, Queen Victoria Hospital NHS Foundation Trust, Robert Jones and Agnes Hunt Orthopaedic Hospital Foundation Trust, Rotherham NHS Foundation Trust, Royal Berkshire NHS Foundation Trust, Royal Bournemouth & Christchurch Hospitals NHS Foundation Trust, Royal Cornwall Hospitals NHS Trust, Royal Devon and Exeter NHS Foundation Trust, Royal Free London NHS Foundation Trust, Royal Liverpool and Broadgreen University Hospitals NHS Trust, Royal Marsden NHS Foundation Trust, Royal National Orthopaedic Hospital NHS Trust, Royal Orthopaedic Hospital NHS Foundation Trust, Royal Surrey County Hospital NHS Foundation Trust, Royal United Hospitals Bath NHS Trust, Royal Wolverhampton Hospitals NHS Trust, Salford Royal NHS Foundation Trust, Salisbury NHS Foundation Trust, Sandwell and West Birmingham Hospitals NHS Trust, Sheffield Teaching Hospitals NHS Foundation Trust, Shrewsbury and Telford Hospital NHS Trust, South Eastern Health and Social Care Trust, Southport and Ormskirk Hospital NHS Trust, South Tees Hospitals NHS Foundation Trust, South Tyneside NHS Foundation Trust, South Warwickshire NHS Foundation Trust, St George's Healthcare NHS Trust, St Helens and Knowsley Teaching Hospitals NHS Trust, Stockport NHS Foundation Trust, Surrey and Sussex Healthcare NHS Trust, Tameside Hospital NHS Foundation Trust, Taunton and Somerset NHS Foundation Trust, Torbay and South Devon NHS Foundation Trust, United Lincolnshire Hospitals NHS Trust, University College London Hospitals NHS Foundation Trust, University Hospital of North Midlands NHS Trust, University Hospital of South Manchester NHS Foundation Trust, University Hospitals Birmingham NHS Foundation Trust, University Hospitals Bristol NHS Foundation Trust, University Hospitals Coventry and Warwickshire NHS Trust, University Hospitals of Leicester NHS Trust, University Hospitals of Morecambe Bay NHS Foundation Trust, University Hospital Southampton NHS Foundation Trust, Walsall Healthcare NHS Trust, Warrington & Halton Hospitals NHS Foundation Trust, Western Health and Social Care Trust, Western Sussex Hospitals NHS Foundation Trust, West Herts Hospitals NHS Trust, Weston Area Health NHS Trust, West Suffolk NHS Foundation Trust, Whittington Hospital NHS Trust, Wirral University Teaching Hospital NHS Foundation Trust, Worcestershire Acute Hospitals NHS Trust, Wrightington, Wigan and Leigh NHS Foundation Trust, Wye Valley NHS Trust, Yeovil District Hospital NHS Foundation Trust, York Teaching Hospital NHS Foundation Trust
Abstract: BACKGROUND: Cancellation of planned surgery impacts substantially on patients and health systems. This study describes the incidence and reasons for cancellation of inpatient surgery in the UK NHS.
METHODS: We conducted a prospective observational cohort study over 7 consecutive days in March 2017 in 245 NHS hospitals. Occurrences and reasons for previous surgical cancellations were recorded. Using multilevel logistic regression, we identified patient- and hospital-level factors associated with cancellation due to inadequate bed capacity.
RESULTS: We analysed data from 14 936 patients undergoing planned surgery. A total of 1499 patients (10.0%) reported previous cancellation for the same procedure; contemporaneous hospital census data indicated that 13.9% patients attending inpatient operations were cancelled on the day of surgery. Non-clinical reasons, predominantly inadequate bed capacity, accounted for a large proportion of previous cancellations. Independent risk factors for cancellation due to inadequate bed capacity included requirement for postoperative critical care [odds ratio (OR)=2.92; 95% confidence interval (CI), 2.12-4.02; P<0.001] and the presence of an emergency department in the treating hospital (OR=4.18; 95% CI, 2.22-7.89; P<0.001). Patients undergoing cancer surgery (OR=0.32; 95% CI, 0.22-0.46; P<0.001), obstetric procedures (OR=0.17; 95% CI, 0.08-0.32; P<0.001), and expedited surgery (OR=0.39; 95% CI, 0.27-0.56; P<0.001) were less likely to be cancelled.
CONCLUSIONS: A significant proportion of patients presenting for surgery have experienced a previous cancellation for the same procedure. Cancer surgery is relatively protected, but bed capacity, including postoperative critical care requirements, are significant risk factors for previous cancellations.
Copyright © 2018 British Journal of Anaesthesia. Published by Elsevier Ltd. All rights reserved.
KEYWORDS: Health Services Research; medical resource utilisation; operating room management; surgery

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Wednesday 23 January 2019

WUTH publication: The Liverpool Peritonsillar abscess Score (LPS): Development of a predictive score through a prospective multi-centre observational study

Citation: Clinical Otolarygology. 2019 Jan 21 [Epub ahead of print]
Author: Lau AS, Selwyn DM, Yang D, Swainbank L, Ridley P, Carmichael N, Metcalfe C, Watson G, Emerson H
Abstract: OBJECTIVES: While uncommon in the population at large, peritonsillar abscess (PTA) is a common subject of ENT referrals. Missed or uncertain diagnosis is a source of concern for non-specialist referrers. In line with the NHS England Second Sepsis Action Plan, we aimed to develop a predictive score for the presence of PTA. This would help to improve non-specialist colleagues' diagnostic certainty as well as to support ENT surgeons' triage of these referrals.
DESIGN: Prospective, multi-centre observational study.
SETTING: Primary and secondary care.
PARTICIPANTS: Patients >16 years with symptoms of sore throat.
DATA: We prospectively collected comprehensive data on patient demographics, symptoms and clinical status. We documented whether the patient had aspiration-proven PTA or not. We performed binary logistic regression analysis, iterative development of a predictive score which we validated internally.
RESULTS: 100 patients were included (46 PTA and 54 tonsillitis). Five variables added significantly to the logistic regression model: unilateral sore throat; trismus; male gender; pharyngeal voice change; uvular deviation. Using the odds ratio outputs, we developed the Liverpool Peritonsillar abscess Score (LPS) iteratively. We validated the latest (third) iteration of the LPS internally (ie on the same sample), yielding sensitivity 96%; specificity 85%; positive predictive value 85% and negative predictive value 96%. Area under the receiver operating characteristics (AUROC) curve was 0.970.
CONCLUSIONS: We have developed the first predictive score for PTA based on symptoms and signs that do not require the user to have specialist experience. Its high negative predictive value may be particularly helpful to non-specialist colleagues. This article is protected by copyright. All rights reserved.
This article is protected by copyright. All rights reserved.
KEYWORDS: Peritonsillar abscess; Predictive score; Sore throat; Swallowing; Trismus

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Tuesday 15 January 2019

WUTH publication: Diagnostic accuracy of the T-MACS decision aid with a contemporary point-of-care troponin assay

Citation: Heart. 2019, 105(10), 768-74 Epub 2019 Jan 12
Author: Body R, Almashali M, Morris N, Moss P, Jarman H, Appelboam A, Parris R, Chan L, Walker A, Harrison M, Wootten A, McDowell G
Abstract: OBJECTIVES: The rapid turnaround time of point-of-care (POC) cardiac troponin (cTn) assays is highly attractive for crowded emergency departments (EDs). We evaluated the diagnostic accuracy of the Troponin-only Manchester Acute Coronary Syndromes (T-MACS) decision aid with a POC cTn assay.
METHODS: In a prospective diagnostic accuracy study at eight EDs, we included patients with suspected acute coronary syndromes (ACS). Blood drawn on arrival and 3 hours later was analysed for POC cTnI (i-Stat, Abbott Point of Care). The primary outcome was a diagnosis of ACS, which included both an adjudicated diagnosis of acute myocardial infarction (AMI) based on serial laboratory cTn testing and major adverse cardiac events (death, AMI or coronary revascularisation) within 30 days.
RESULTS: Of 716 patients included, 105 (14.7%) had ACS. Using serial POC cTnI concentrations over 3 hours could have 'ruled out' ACS in 198 (31.2%) patients with a sensitivity of 99.0% (95% CI 94.4% to 100.0%) and negative predictive value 99.5% (95% CI 96.5% to 99.9%). No AMIs were missed. T-MACS 'ruled in' ACS for 65 (10.4%) patients with a positive predictive value of 91.2% (95% CI 82.1% to 95.9%) and specificity 98.9% (97.6% to 99.6%).
CONCLUSION: With a POC cTnI assay, T-MACS could 'rule out' ACS for approximately one-third of patients within 3 hours while 'ruling in' ACS for another 10%. The rapid turnaround time and portability of the POC assay make this an attractive pathway for use in crowded EDs or urgent care centres. Future work should also evaluate use in the prehospital environment.
© Author(s) (or their employer(s)) 2019. No commercial re-use. See rights and permissions. Published by BMJ.
KEYWORDS: acute coronary syndromes; cardiac troponin; clinical decision rules; sensitivity and specificity

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