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Ovens W, Tomescu S, Harrison E, Crampton T, De Nooy A, Jassat W, Banoo S, Pisa P, Sanne I. Guiding equitable prioritisation of COVID-19 vaccine distribution and strategic deployment in South Africa to enhance effectiveness and access to vulnerable communities and prevent waste. S Afr Med J 2022; 112:13501. [PMID: 35139989] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Accepted: 02/01/2022] [Indexed: 06/14/2023] Open
Abstract
BACKGROUND In South Africa (SA), >2.4 million cases of COVID‑19 and >72 000 deaths were recorded between March 2020 and 1 August 2021, affecting the country's 52 districts to various extents. SA has committed to a COVID‑19 vaccine roll-out in three phases, prioritising frontline workers, the elderly, people with comorbidities and essential workers. However, additional actions will be necessary to support efficient allocation and equitable access for vulnerable, access-constrained communities. OBJECTIVES To explore various determinants of disease severity, resurgence risk and accessibility in order to aid an equitable, effective vaccine roll-out for SA that would maximise COVID‑19 epidemic control by reducing the number of COVID‑19 transmissions and resultant deaths, while at the same time reducing the risk of vaccine wastage. METHODS For the 52 districts of SA, 26 COVID‑19 indicators such as hospital admissions, deaths in hospital and mobility were ranked and hierarchically clustered with cases to identify which indicators can be used as indicators for severity or resurgence risk. Districts were then ranked using the estimated COVID‑19 severity and resurgence risk to assist with prioritisation of vaccine roll-out. Urban and rural accessibility were also explored as factors that could limit vaccine roll-out in hard-to-reach communities. RESULTS Highly populated urban districts showed the most cases. Districts such as Buffalo City, City of Cape Town and Nelson Mandela Bay experienced very severe first and second waves of the pandemic. Districts with high mobility, population size and density were found to be at highest risk of resurgence. In terms of accessibility, we found that 47.2% of the population are within 5 km of a hospital with ≥50 beds, and this percentage ranged from 87.0% in City of Cape Town to 0% in Namakwa district. CONCLUSIONS The end goal is to provide equal distribution of vaccines proportional to district populations, which will provide fair protection. Districts with a high risk of resurgence and severity should be prioritised for vaccine roll-out, particularly the major metropolitan areas. We provide recommendations for allocations of different vaccine types for each district that consider levels of access, numbers of doses and cold-chain storage capability.
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Affiliation(s)
- W Ovens
- Right to Care, Centurion, Pretoria, South Africa.
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Knight S, Weiser T, Pius R, Harrison E. 590 Influence of Hospital Characteristics on Patient Outcomes Following Cancer Surgery: An International, Mixed Methods Study Across 66 Countries. Br J Surg 2021. [DOI: 10.1093/bjs/znab258.069] [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: 11/14/2022]
Abstract
Abstract
Aim
Early death after cancer surgery is higher in low- and middle-income settings, yet the impact of hospital characteristics on early postoperative outcomes following cancer surgery worldwide are unknown.
Method
A mixed-methods analysis was performed using data from the GlobalSurg 3 study, a multicentre, international prospective cohort study of patients who underwent surgery for breast, gastric or colorectal cancer. The primary outcomes were 30-day mortality and major complication rates. Hierarchical clustering identified distinct hospital characteristics to create a facility capacity framework. Adjusted outcomes were determined after accounting for patient characteristics and country-income group.
Results
Hospital-level data were available for 9685 patients across 238 hospitals. The facility capacity framework consisted of seven distinct hospital resources and processes: presence of CT scan, postoperative recovery area, critical care facilities, opioid analgesia availability, oncologist, pathology and radiotherapy services. While complication rates were similar across hospitals with varying facility capacities, hospitals with five or less capacities (116 hospitals, 2251 patients) had increased mortality (aOR 1.67, 95% CI 1.13-2.48; P = 0.010). After adjustment for case-mix and country income group, patients undergoing surgery for gastric and colorectal cancer in hospitals with reduced capacities had higher mortality (6.2 vs. 4.0%; P < 0.001), predominantly explained by limited capacity to rescue following the development of major complications (61.3 vs. 72.1%; P < 0.001).
Conclusions
Hospitals with certain system capacities achieve better outcomes following cancer surgery, independent of country-income group. For cancers amenable to surgical treatment, national cancer care plans should include both surgical capacity building and concurrent hospital facility development to maximise reductions in cancer-associated mortality.
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Affiliation(s)
- S Knight
- University of Edinburgh, Edinburgh, United Kingdom
| | - T Weiser
- University of Edinburgh, Edinburgh, United Kingdom
| | - R Pius
- University of Edinburgh, Edinburgh, United Kingdom
| | - E Harrison
- University of Edinburgh, Edinburgh, United Kingdom
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Fairfield C, Spiliopoulou A, Wigmore S, Harrison E. 1163 Genome-wide Association Study Reveals 55 Loci Associated with Gallstone Disease. Br J Surg 2021. [DOI: 10.1093/bjs/znab258.032] [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: 11/14/2022]
Abstract
Abstract
Aim
Gallstones have a prevalence of 20-40% in European populations and cause significant morbidity. Gallstones form from cholesterol and calcium bilirubinate and knowledge of genetic determinants remains incomplete. A genome-wide association study (GWAS) was performed to identify determinants of gallstones.
Method
A GWAS of 16,356,211 single nucleotide polymorphisms (SNPs) for 28,627 cases and 348,373 controls of European ancestry in the UK Biobank was undertaken. A logistic regression with additive allelic dosage was performed (significance: P < 5*10-8). Functional annotation and linkage disequilibrium clumping were performed to reveal distinct loci. Lead SNPs were investigated by linear regression for association with plasma lipids, liver enzymes and blood count markers.
Results
55 lithogenic loci were identified of which 27 are novel. Functional annotation revealed genes involved in metabolism of cholesterol, glucose, bile acids and bilirubin with corresponding changes in serum biomarkers caused by those lithogenic alleles. Several novel variants did not alter cholesterol or other biomarkers. Lithogenic variants within genes controlling intra- and paracellular transport may govern biliary composition (PCDHB4, NUP153, CLDN7) and promote lithogenic bile. Variants within genes which may influence gallbladder motility (ANO1, TMEM147) and cholangiocyte ciliogenesis (TBC1D32, ADAMTS20, DYNC2LI1, HNF1B) may promote gallstone formation through reduced biliary flow.
Conclusions
We identified 27 novel associations with gallstones. Impact of lithogenic alleles on serum biomarkers was highly variable demonstrating that gallstone formation is partially driven by pathways which do not influence cholesterol, glucose or bilirubin metabolism. Variants within genes that may influence biliary composition, bile flow and gallbladder motility represent new targets for research into gallstones.
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Affiliation(s)
- C Fairfield
- Centre for Medical Informatics, Usher Institute, University of Edinburgh, Edinburgh, United Kingdom
| | - A Spiliopoulou
- Centre for Population Health Sciences, Usher Institute, University of Edinburgh, Edinburgh, United Kingdom
| | - S Wigmore
- Department of Clinical Surgery, Division of Health Sciences, University of Edinburgh, Edinburgh, United Kingdom
| | - E Harrison
- Centre for Medical Informatics, Usher Institute, University of Edinburgh, Edinburgh, United Kingdom
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Mitchell T, Jones T, Danson S, Glover M, Bury J, Horsman J, Christian L, Hill E, Harrison E, Hatton M, Bryant H. P60.01 Investigation of Aurora Kinase A as a Potential Biomarker of Radiation in Non-Small Cell Lung Cancer (NSCLC). J Thorac Oncol 2021. [DOI: 10.1016/j.jtho.2021.08.622] [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: 11/28/2022]
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Palmieri C, Turtle L, Drake T, Harrison E, Docherty A, Greenhalf B, Openshaw P, Baillie J, Semple M. LBA60 Prospective data of >20,000 hospitalised patients with cancer and COVID-19 derived from the International Severe Acute Respiratory and emerging Infections Consortium WHO Coronavirus Clinical Characterisation Consortium: CCP-CANCER UK. Ann Oncol 2021. [PMCID: PMC8454398 DOI: 10.1016/j.annonc.2021.08.2141] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
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6
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Hatanaka T, Lulic Z, Mefo T, Booth C, Harrison E, Ong G. Change in hair growth-related gene expression profile in human isolated hair follicles induced by 5-alpha reductase inhibitors - dutasteride and finasteride - in the presence of testosterone. Singapore Med J 2021; 63:552-558. [PMID: 34157805 DOI: 10.11622/smedj.2021080] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Affiliation(s)
- Toshiki Hatanaka
- Department of Medical Affairs, Medical Division, GlaxoSmithKline KK, Akasaka, Minato-ku, Tokyo, Japan
| | - Zrinka Lulic
- Pharma Research and Development, Global Medical, GlaxoSmithKline, Brentford, Middlesex, UK
| | - Tim Mefo
- Personalised Medicine - Pharmacogenomics Division, Epistem Ltd, Manchester, UK
| | - Cath Booth
- Personalised Medicine - Pharmacogenomics Division, Epistem Ltd, Manchester, UK
| | - Elliott Harrison
- Personalised Medicine - Pharmacogenomics Division, Epistem Ltd, Manchester, UK
| | - Gary Ong
- Pharma Research and Development, Global Medical, GlaxoSmithKline Pte Ltd, Singapore
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Riad A, Knight S, Harrison E. 427 The Effect of Malnutrition on Early Outcomes after Cancer Surgery: An International Prospective Cohort Study in 82 Countries. Br J Surg 2021. [DOI: 10.1093/bjs/znab135.044] [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: 11/13/2022]
Abstract
Abstract
Background
Malnutrition is a state linked to worse postoperative outcomes, and cancer patients are particularly vulnerable due to cachexia. We aimed to explore the effect of malnutrition on 30-day mortality following gastric and colorectal cancer surgery.
Method
GlobalSurg3 was multicentre international cohort study which collected data from consecutive patients undergoing emergency or elective surgery for gastric and colorectal cancer. Malnutrition was defined using the Global Leadership Initiative on Malnutrition (GLIM) criteria. Multilevel variable regression approaches determined the relationship between malnutrition and early postoperative outcomes.
Results
6438 patients were included in the final analysis (1184 gastric cancer; 5254 colorectal cancer). Severe malnutrition was common across all income-strata, affecting 1 in 4 patients overall, with a higher burden in low and lower-middle income countries (64%). In patients undergoing elective surgery (n = 5709), severe malnutrition was independently associated with increased mortality (aOR = 1.62 (1.07-2.48, P = 0.024) after accounting for patient factors, disease stage and country effects.
Conclusions
Severe malnutrition represents a high global burden in cancer surgery, particularly within lower income settings. Malnutrition is an independent risk-factor for 30-day mortality following elective surgery for gastric and colorectal cancer, suggesting perioperative nutritional interventions may improve outcomes after cancer surgery.
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Affiliation(s)
- A Riad
- Edinburgh Medical School, College of Medicine and Veterinary Medicine, University of Edinburgh, Edinburgh, United Kingdom
| | - S Knight
- Centre for Medical Informatics, Usher Institute, University of Edinburgh, Edinburgh, United Kingdom
| | - E Harrison
- Centre for Medical Informatics, Usher Institute, University of Edinburgh, Edinburgh, United Kingdom
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Connor K, Teenan O, Thomas R, Banwell V, Finnie S, Monaghan ML, Cairns C, Tannahill G, Harrison E, Conway B, Marson L, Denby L, Wigmore S. O45: DEFINING CELL-ENRICHED MICRORNAS TO SUPPORT RATIONAL BIOMARKER SELECTION IN HUMAN RENAL TRANSPLANTATION. Br J Surg 2021. [DOI: 10.1093/bjs/znab117.045] [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: 11/13/2022]
Abstract
Abstract
Introduction
MicroRNAs are promising biomarkers of renal disease, however the cellular origin of their expression is usually unclear limiting their interpretation when measured in renal biopsies and urine. We hypothesised that by first defining renal cell-enriched microRNAs, we could select biomarkers based on the expected histopathological profile.
Method
Small RNA-sequencing of cortical, proximal tubular (LTL), macrophage (F480), endothelial (CD31) and fibroblast (PDGFRb) populations from the reversible unilateral ureteric obstruction (rUUO) murine model was performed. Hierarchical clustering was used to identify clusters. Findings were translated into an ischaemia reperfusion injury (IRI) model and then into urine samples from renal transplant recipients (n=16) with delayed graft function (DGF) vs. those with primary function.
Result
Kidney injury resulted in significant macrophage infiltration and tubular injury which improved upon reversal. We characterised novel microRNA clusters enriched for each cell type. With injury there was a significant increase in macrophage (p<0.0001), fibroblast (p<0.01) and decrease in proximal tubule (p<0.0001) enriched microRNAs vs. non-enriched microRNAs. We validated macrophage enriched miR-18a, miR-16 and tubular enriched miR-194 in the IRI model, demonstrating that microRNA expression reflected the histological profile. In humans, urinary miR-16 (FC 16.9; p<0.05) and miR-18a (FC 10: p=0.06) were upregulated at day 2 in patients with DGF; outperforming the traditional injury marker KIM1.
Conclusion
This is the first study to characterise cell-enriched microRNAs during renal injury and repair. By defining the source of microRNA expression we were able to rationally select miR-16 and miR-18a as promising urinary biomarkers of renal injury.
Take-home message
We have found that microRNAs have differences in expression between cell types and renal injury states which is important when considering microRNA expression in samples composed of varying cellular composition. By defining the cellular origins of microRNA expression we were able to rationally select microRNA biomarkers of human renal injury.
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Affiliation(s)
- K Connor
- University of Edinburgh
- Edinburgh Transplant Unit
| | | | | | | | | | | | | | | | - E Harrison
- University of Edinburgh
- Edinburgh Transplant Unit
- GlaxoSmithKline
| | | | - L Marson
- University of Edinburgh
- Edinburgh Transplant Unit
| | | | - S Wigmore
- University of Edinburgh
- Edinburgh Transplant Unit
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McLean KA, Ahmed WUR, Akhbari M, Claireaux HA, English C, Frost J, Henshall DE, Khan M, Kwek I, Nicola M, Rehman S, Varghese S, Drake TM, Bell S, Nepogodiev D, McLean KA, Drake TM, Glasbey JC, Borakati A, Drake TM, Kamarajah S, McLean KA, Bath MF, Claireaux HA, Gundogan B, Mohan M, Deekonda P, Kong C, Joyce H, Mcnamee L, Woin E, Burke J, Khatri C, Fitzgerald JE, Harrison EM, Bhangu A, Nepogodiev D, Arulkumaran N, Bell S, Duthie F, Hughes J, Pinkney TD, Prowle J, Richards T, Thomas M, Dynes K, Patel M, Patel P, Wigley C, Suresh R, Shaw A, Klimach S, Jull P, Evans D, Preece R, Ibrahim I, Manikavasagar V, Smith R, Brown FS, Deekonda P, Teo R, Sim DPY, Borakati A, Logan AE, Barai I, Amin H, Suresh S, Sethi R, Bolton W, Corbridge O, Horne L, Attalla M, Morley R, Robinson C, Hoskins T, McAllister R, Lee S, Dennis Y, Nixon G, Heywood E, Wilson H, Ng L, Samaraweera S, Mills A, Doherty C, Woin E, Belchos J, Phan V, Chouari T, Gardner T, Goergen N, Hayes JDB, MacLeod CS, McCormack R, McKinley A, McKinstry S, Milligan W, Ooi L, Rafiq NM, Sammut T, Sinclair E, Smith M, Baker C, Boulton APR, Collins J, Copley HC, Fearnhead N, Fox H, Mah T, McKenna J, Naruka V, Nigam N, Nourallah B, Perera S, Qureshi A, Saggar S, Sun L, Wang X, Yang DD, Caroll P, Doyle C, Elangovan S, Falamarzi A, Perai KG, Greenan E, Jain D, Lang-Orsini M, Lim S, O'Byrne L, Ridgway P, Van der Laan S, Wong J, Arthur J, Barclay J, Bradley P, Edwin C, Finch E, Hayashi E, Hopkins M, Kelly D, Kelly M, McCartan N, Ormrod A, Pakenham A, Hayward J, Hitchen C, Kishore A, Martins T, Philomen J, Rao R, Rickards C, Burns N, Copeland M, Durand C, Dyal A, Ghaffar A, Gidwani A, Grant M, Gribbon C, Gruhn A, Leer M, Ahmad K, Beattie G, Beatty M, Campbell G, Donaldson G, Graham S, Holmes D, Kanabar S, Liu H, McCann C, Stewart R, Vara S, Ajibola-Taylor O, Andah EJE, Ani C, Cabdi NMO, Ito G, Jones M, Komoriyama A, Patel P, Titu L, Basra M, Gallogly P, Harinath G, Leong SH, Pradhan A, Siddiqui I, Zaat S, Ali A, Galea M, Looi WL, Ng JCK, Atkin G, Azizi A, Cargill Z, China Z, Elliot J, Jebakumar R, Lam J, Mudalige G, Onyerindu C, Renju M, Babu VS, Hussain M, Joji N, Lovett B, Mownah H, Ali B, Cresswell B, Dhillon AK, Dupaguntla YS, Hungwe C, Lowe-Zinola JD, Tsang JCH, Bevan K, Cardus C, Duggal A, Hossain S, McHugh M, Scott M, Chan F, Evans R, Gurung E, Haughey B, Jacob-Ramsdale B, Kerr M, Lee J, McCann E, O'Boyle K, Reid N, Hayat F, Hodgson S, Johnston R, Jones W, Khan M, Linn T, Long S, Seetharam P, Shaman S, Smart B, Anilkumar A, Davies J, Griffith J, Hughes B, Islam Y, Kidanu D, Mushaini N, Qamar I, Robinson H, Schramm M, Tan CY, Apperley H, Billyard C, Blazeby JM, Cannon SP, Carse S, Göpfert A, Loizidou A, Parkin J, Sanders E, Sharma S, Slade G, Telfer R, Huppatz IW, Worley E, Chandramoorthy L, Friend C, Harris L, Jain P, Karim MJ, Killington K, McGillicuddy J, Rafferty C, Rahunathan N, Rayne T, Varathan Y, Verma N, Zanichelli D, Arneill M, Brown F, Campbell B, Crozier L, Henry J, McCusker C, Prabakaran P, Wilson R, Asif U, Connor M, Dindyal S, Math N, Pagarkar A, Saleem H, Seth I, Sharma S, Standfield N, Swartbol T, Adamson R, Choi JE, El Tokhy O, Ho W, Javaid NR, Kelly M, Mehdi AS, Menon D, Plumptre I, Sturrock S, Turner J, Warren O, Crane E, Ferris B, Gadsby C, Smallwood J, Vipond M, Wilson V, Amarnath T, Doshi A, Gregory C, Kandiah K, Powell B, Spoor H, Toh C, Vizor R, Common M, Dunleavy K, Harris S, Luo C, Mesbah Z, Kumar AP, Redmond A, Skulsky S, Walsh T, Daly D, Deery L, Epanomeritakis E, Harty M, Kane D, Khan K, Mackey R, McConville J, McGinnity K, Nixon G, Ang A, Kee JY, Leung E, Norman S, Palaniappan SV, Sarathy PP, Yeoh T, Frost J, Hazeldine P, Jones L, Karbowiak M, Macdonald C, Mutarambirwa A, Omotade A, Runkel M, Ryan G, Sawers N, Searle C, Suresh S, Vig S, Ahmad A, McGartland R, Sim R, Song A, Wayman J, Brown R, Chang LH, Concannon K, Crilly C, Arnold TJ, Burgin A, Cadden F, Choy CH, Coleman M, Lim D, Luk J, Mahankali-Rao P, Prudence-Taylor AJ, Ramakrishnan D, Russell J, Fawole A, Gohil J, Green B, Hussain A, McMenamin L, McMenamin L, Tang M, Azmi F, Benchetrit S, Cope T, Haque A, Harlinska A, Holdsworth R, Ivo T, Martin J, Nisar T, Patel A, Sasapu K, Trevett J, Vernet G, Aamir A, Bird C, Durham-Hall A, Gibson W, Hartley J, May N, Maynard V, Johnson S, Wood CM, O'Brien M, Orbell J, Stringfellow TD, Tenters F, Tresidder S, Cheung W, Grant A, Tod N, Bews-Hair M, Lim ZH, Lim SW, Vella-Baldacchino M, Auckburally S, Chopada A, Easdon S, Goodson R, McCurdie F, Narouz M, Radford A, Rea E, Taylor O, Yu T, Alfa-Wali M, Amani L, Auluck I, Bruce P, Emberton J, Kumar R, Lagzouli N, Mehta A, Murtaza A, Raja M, Dennahy IS, Frew K, Given A, He YY, Karim MA, MacDonald E, McDonald E, McVinnie D, Ng SK, Pettit A, Sim DPY, Berthaume-Hawkins SD, Charnley R, Fenton K, Jones D, Murphy C, Ng JQ, Reehal R, Robinson H, Seraj SS, Shang E, Tonks A, White P, Yeo A, Chong P, Gabriel R, Patel N, Richardson E, Symons L, Aubrey-Jones D, Dawood S, Dobrzynska M, Faulkner S, Griffiths H, Mahmood F, Patel P, Perry M, Power A, Simpson R, Ali A, Brobbey P, Burrows A, Elder P, Ganyani R, Horseman C, Hurst P, Mann H, Marimuthu K, McBride S, Pilsworth E, Powers N, Stanier P, Innes R, Kersey T, Kopczynska M, Langasco N, Patel N, Rajagopal R, Atkins B, Beasley W, Lim ZC, Gill A, Ang HL, Williams H, Yogeswara T, Carter R, Fam M, Fong J, Latter J, Long M, Mackinnon S, McKenzie C, Osmanska J, Raghuvir V, Shafi A, Tsang K, Walker L, Bountra K, Coldicutt O, Fletcher D, Hudson S, Iqbal S, Bernal TL, Martin JWB, Moss-Lawton F, Smallwood J, Vipond M, Cardwell A, Edgerton K, Laws J, Rai A, Robinson K, Waite K, Ward J, Youssef H, Knight C, Koo PY, Lazarou A, Stanger S, Thorn C, Triniman MC, Botha A, Boyles L, Cumming S, Deepak S, Ezzat A, Fowler AJ, Gwozdz AM, Hussain SF, Khan S, Li H, Morrell BL, Neville J, Nitiahpapand R, Pickering O, Sagoo H, Sharma E, Welsh K, Denley S, Khan S, Agarwal M, Al-Saadi N, Bhambra R, Gupta A, Jawad ZAR, Jiao LR, Khan K, Mahir G, Singagireson S, Thoms BL, Tseu B, Wei R, Yang N, Britton N, Leinhardt D, Mahfooz M, Palkhi A, Price M, Sheikh S, Barker M, Bowley D, Cant M, Datta U, Farooqi M, Lee A, Morley G, Amin MN, Parry A, Patel S, Strang S, Yoganayagam N, Adlan A, Chandramoorthy S, Choudhary Y, Das K, Feldman M, France B, Grace R, Puddy H, Soor P, Ali M, Dhillon P, Faraj A, Gerard L, Glover M, Imran H, Kim S, Patrick Y, Peto J, Prabhudesai A, Smith R, Tang A, Vadgama N, Dhaliwal R, Ecclestone T, Harris A, Ong D, Patel D, Philp C, Stewart E, Wang L, Wong E, Xu Y, Ashaye T, Fozard T, Galloway F, Kaptanis S, Mistry P, Nguyen T, Olagbaiye F, Osman M, Philip Z, Rembacken R, Tayeh S, Theodoropoulou K, Herman A, Lau J, Saha A, Trotter M, Adeleye O, Cave D, Gunwa T, Magalhães J, Makwana S, Mason R, Parish M, Regan H, Renwick P, Roberts G, Salekin D, Sivakumar C, Tariq A, Liew I, McDade A, Stewart D, Hague M, Hudson-Peacock N, Jackson CES, James F, Pitt J, Walker EY, Aftab R, Ang JJ, Anwar S, Battle J, Budd E, Chui J, Crook H, Davies P, Easby S, Hackney E, Ho B, Imam SZ, Rammell J, Andrews H, Perry C, Schinle P, Ahmed P, Aquilina T, Balai E, Church M, Cumber E, Curtis A, Davies G, Dennis Y, Dumann E, Greenhalgh S, Kim P, King S, Metcalfe KHM, Passby L, Redgrave N, Soonawalla Z, Waters S, Zornoza A, Gulzar I, Hole J, Hull K, Ishaq H, Karaj J, Kelkar A, Love E, Patel S, Thakrar D, Vine M, Waterman A, Dib NP, Francis N, Hanson M, Ingleton R, Sadanand KS, Sukirthan N, Arnell S, Ball M, Bassam N, Beghal G, Chang A, Dawe V, George A, Huq T, Hussain A, Ikram B, Kanapeckaite L, Khan M, Ramjas D, Rushd A, Sait S, Serry M, Yardimci E, Capella S, Chenciner L, Episkopos C, Karam E, McCarthy C, Moore-Kelly W, Watson N, Ahluwalia V, Barnfield J, Ben-Gal O, Bloom I, Gharatya A, Khodatars K, Merchant N, Moonan A, Moore M, Patel K, Spiers H, Sundaram K, Turner J, Bath MF, Black J, Chadwick H, Huisman L, Ingram H, Khan S, Martin L, Metcalfe M, Sangal P, Seehra J, Thatcher A, Venturini S, Whitcroft I, Afzal Z, Brown S, Gani A, Gomaa A, Hussein N, Oh SY, Pazhaniappan N, Sharkey E, Sivagnanasithiyar T, Williams C, Yeung J, Cruddas L, Gurjar S, Pau A, Prakash R, Randhawa R, Chen L, Eiben I, Naylor M, Osei-Bordom D, Trenear R, Bannard-Smith J, Griffiths N, Patel BY, Saeed F, Abdikadir H, Bennett M, Church R, Clements SE, Court J, Delvi A, Hubert J, Macdonald B, Mansour F, Patel RR, Perris R, Small S, Betts A, Brown N, Chong A, Croitoru C, Grey A, Hickland P, Ho C, Hollington D, McKie L, Nelson AR, Stewart H, Eiben P, Nedham M, Ali I, Brown T, Cumming S, Hunt C, Joyner C, McAlinden C, Roberts J, Rogers D, Thachettu A, Tyson N, Vaughan R, Verma N, Yasin T, Andrew K, Bhamra N, Leong S, Mistry R, Noble H, Rashed F, Walker NR, Watson L, Worsfold M, Yarham E, Abdikadir H, Arshad A, Barmayehvar B, Cato L, Chan-lam N, Do V, Leong A, Sheikh Z, Zheleniakova T, Coppel J, Hussain ST, Mahmood R, Nourzaie R, Prowle J, Sheik-Ali S, Thomas A, Alagappan A, Ashour R, Bains H, Diamond J, Gordon J, Ibrahim B, Khalil M, Mittapalli D, Neo YN, Patil P, Peck FS, Reza N, Swan I, Whyte M, Chaudhry S, Hernon J, Khawar H, O'Brien J, Pullinger M, Rothnie K, Ujjal S, Bhatte S, Curtis J, Green S, Mayer A, Watkinson G, Chapple K, Hawthorne T, Khaliq M, Majkowski L, Malik TAM, Mclauchlan K, En BNW, Parton S, Robinson SD, Saat MI, Shurovi BN, Varatharasasingam K, Ward AE, Behranwala K, Bertelli M, Cohen J, Duff F, Fafemi O, Gupta R, Manimaran M, Mayhew J, Peprah D, Wong MHY, Farmer N, Houghton C, Kandhari N, Khan K, Ladha D, Mayes J, McLennan F, Panahi P, Seehra H, Agrawal R, Ahmed I, Ali S, Birkinshaw F, Choudhry M, Gokani S, Harrogate S, Jamal S, Nawrozzadeh F, Swaray A, Szczap A, Warusavitarne J, Abdalla M, Asemota N, Cullum R, Hartley M, Maxwell-Armstrong C, Mulvenna C, Phillips J, Yule A, Ahmed L, Clement KD, Craig N, Elseedawy E, Gorman D, Kane L, Livie J, Livie V, Moss E, Naasan A, Ravi F, Shields P, Zhu Y, Archer M, Cobley H, Dennis R, Downes C, Guevel B, Lamptey E, Murray H, Radhakrishnan A, Saravanabavan S, Sardar M, Shaw C, Tilliridou V, Wright R, Ye W, Alturki N, Helliwell R, Jones E, Kelly D, Lambotharan S, Scott K, Sivakumar R, Victor L, Boraluwe-Rallage H, Froggatt P, Haynes S, Hung YMA, Keyte A, Matthews L, Evans E, Haray P, John I, Mathivanan A, Morgan L, Oji O, Okorocha C, Rutherford A, Spiers H, Stageman N, Tsui A, Whitham R, Amoah-Arko A, Cecil E, Dietrich A, Fitzpatrick H, Guy C, Hair J, Hilton J, Jawad L, McAleer E, Taylor Z, Yap J, Akhbari M, Debnath D, Dhir T, Elbuzidi M, Elsaddig M, Glace S, Khawaja H, Koshy R, Lal K, Lobo L, McDermott A, Meredith J, Qamar MA, Vaidya A, Acquaah F, Barfi L, Carter N, Gnanappiragasam D, Ji C, Kaminski F, Lawday S, Mackay K, Sulaiman SK, Webb R, Ananthavarathan P, Dalal F, Farrar E, Hashemi R, Hossain M, Jiang J, Kiandee M, Lex J, Mason L, Matthews JH, McGeorge E, Modhwadia S, Pinkney T, Radotra A, Rickard L, Rodman L, Sales A, Tan KL, Bachi A, Bajwa DS, Battle J, Brown LR, Butler A, Calciu A, Davies E, Gardner I, Girdlestone T, Ikogho O, Keelan G, O'Loughlin P, Tam J, Elias J, Ngaage M, Thompson J, Bristow S, Brock E, Davis H, Pantelidou M, Sathiyakeerthy A, Singh K, Chaudhry A, Dickson G, Glen P, Gregoriou K, Hamid H, Mclean A, Mehtaji P, Neophytou G, Potts S, Belgaid DR, Burke J, Durno J, Ghailan N, Hanson M, Henshaw V, Nazir UR, Omar I, Riley BJ, Roberts J, Smart G, Van Winsen K, Bhatti A, Chan M, D'Auria M, Green S, Keshvala C, Li H, Maxwell-Armstrong C, Michaelidou M, Simmonds L, Smith C, Wimalathasan A, Abbas J, Cairns C, Chin YR, Connelly A, Moug S, Nair A, Svolkinas D, Coe P, Subar D, Wang H, Zaver V, Brayley J, Cookson P, Cunningham L, Gaukroger A, Ho M, Hough A, King J, O'Hagan D, Widdison A, Brown R, Brown B, Chavan A, Francis S, Hare L, Lund J, Malone N, Mavi B, McIlwaine A, Rangarajan S, Abuhussein N, Campbell HS, Daniels J, Fitzgerald I, Mansfield S, Pendrill A, Robertson D, Smart YW, Teng T, Yates J, Belgaumkar A, Katira A, Kossoff J, Kukran S, Laing C, Mathew B, Mohamed T, Myers S, Novell R, Phillips BL, Thomas M, Turlejski T, Turner S, Varcada M, Warren L, Wynell-Mayow W, Church R, Linley-Adams L, Osborn G, Saunders M, Spencer R, Srikanthan M, Tailor S, Tullett A, Ali M, Al-Masri S, Carr G, Ebhogiaye O, Heng S, Manivannan S, Manley J, McMillan LE, Peat C, Phillips B, Thomas S, Whewell H, Williams G, Bienias A, Cope EA, Courquin GR, Day L, Garner C, Gimson A, Harris C, Markham K, Moore T, Nadin T, Phillips C, Subratty SM, Brown K, Dada J, Durbacz M, Filipescu T, Harrison E, Kennedy ED, Khoo E, Kremel D, Lyell I, Pronin S, Tummon R, Ventre C, Walls L, Wootton E, Akhtar A, Davies E, El-Sawy D, Farooq M, Gaddah M, Griffiths H, Katsaiti I, Khadem N, Leong K, Williams I, Chean CS, Chudek D, Desai H, Ellerby N, Hammad A, Malla S, Murphy B, Oshin O, Popova P, Rana S, Ward T, Abbott TEF, Akpenyi O, Edozie F, El Matary R, English W, Jeyabaladevan S, Morgan C, Naidu V, Nicholls K, Peroos S, Prowle J, Sansome S, Torrance HD, Townsend D, Brecher J, Fung H, Kazmi Z, Outlaw P, Pursnani K, Ramanujam N, Razaq A, Sattar M, Sukumar S, Tan TSE, Chohan K, Dhuna S, Haq T, Kirby S, Lacy-Colson J, Logan P, Malik Q, McCann J, Mughal Z, Sadiq S, Sharif I, Shingles C, Simon A, Burnage S, Chan SSN, Craig ARJ, Duffield J, Dutta A, Eastwood M, Iqbal F, Mahmood F, Mahmood W, Patel C, Qadeer A, Robinson A, Rotundo A, Schade A, Slade RD, De Freitas M, Kinnersley H, McDowell E, Moens-Lecumberri S, Ramsden J, Rockall T, Wiffen L, Wright S, Bruce C, Francois V, Hamdan K, Limb C, Lunt AJ, Manley L, Marks M, Phillips CFE, Agnew CJF, Barr CJ, Benons N, Hart SJ, Kandage D, Krysztopik R, Mahalingam P, Mock J, Rajendran S, Stoddart MT, Clements B, Gillespie H, Lee S, McDougall R, Murray C, O'Loane R, Periketi S, Tan S, Amoah R, Bhudia R, Dudley B, Gilbert A, Griffiths B, Khan H, McKigney N, Roberts B, Samuel R, Seelarbokus A, Stubbing-Moore A, Thompson G, Williams P, Ahmed N, Akhtar R, Chandler E, Chappelow I, Gil H, Gower T, Kale A, Lingam G, Rutler L, Sellahewa C, Sheikh A, Stringer H, Taylor R, Aglan H, Ashraf MR, Choo S, Das E, Epstein J, Gentry R, Mills D, Poolovadoo Y, Ward N, Bull K, Cole A, Hack J, Khawari S, Lake C, Mandishona T, Perry R, Sleight S, Sultan S, Thornton T, Williams S, Arif T, Castle A, Chauhan P, Chesner R, Eilon T, Kamarajah S, Kambasha C, Lock L, Loka T, Mohammad F, Motahariasl S, Roper L, Sadhra SS, Sheikh A, Toma T, Wadood Q, Yip J, Ainger E, Busti S, Cunliffe L, Flamini T, Gaffing S, Moorcroft C, Peter M, Simpson L, Stokes E, Stott G, Wilson J, York J, Yousaf A, Borakati A, Brown M, Goaman A, Hodgson B, Ijeomah A, Iroegbu U, Kaur G, Lowe C, Mahmood S, Sattar Z, Sen P, Szuman A, Abbas N, Al-Ausi M, Anto N, Bhome R, Eccles L, Elliott J, Hughes EJ, Jones A, Karunatilleke AS, Knight JS, Manson CCF, Mekhail I, Michaels L, Noton TM, Okenyi E, Reeves T, Yasin IH, Banfield DA, Harris R, Lim D, Mason-Apps C, Roe T, Sandhu J, Shafiq N, Stickler E, Tam JP, Williams LM, Ainsworth P, Boualbanat Y, Doull C, Egan E, Evans L, Hassanin K, Ninkovic-Hall G, Odunlami W, Shergill M, Traish M, Cummings D, Kershaw S, Ong J, Reid F, Toellner H, Alwandi A, Amer M, George D, Haynes K, Hughes K, Peakall L, Premakumar Y, Punjabi N, Ramwell A, Sawkins H, Ashwood J, Baker A, Baron C, Bhide I, Blake E, De Cates C, Esmail R, Hosamuddin H, Kapp J, Nguru N, Raja M, Thomson F, Ahmed H, Aishwarya G, Al-Huneidi R, Ali S, Aziz R, Burke D, Clarke B, Kausar A, Maskill D, Mecia L, Myers L, Smith ACD, Walker G, Wroe N, Donohoe C, Gibbons D, Jordan P, Keogh C, Kiely A, Lalor P, McCrohan M, Powell C, Foley MP, Reynolds J, Silke E, Thorpe O, Kong JTH, White C, Ali Q, Dalrymple J, Ge Y, Khan H, Luo RS, Paine H, Paraskeva B, Parker L, Pillai K, Salciccioli J, Selvadurai S, Sonagara V, Springford LR, Tan L, Appleton S, Leadholm N, Zhang Y, Ahern D, Cotter M, Cremen S, Durrigan T, Flack V, Hrvacic N, Jones H, Jong B, Keane K, O'Connell PR, O'sullivan J, Pek G, Shirazi S, Barker C, Brown A, Carr W, Chen Y, Guillotte C, Harte J, Kokayi A, Lau K, McFarlane S, Morrison S, Broad J, Kenefick N, Makanji D, Printz V, Saito R, Thomas O, Breen H, Kirk S, Kong CH, O'Kane A, Eddama M, Engledow A, Freeman SK, Frost A, Goh C, Lee G, Poonawala R, Suri A, Taribagil P, Brown H, Christie S, Dean S, Gravell R, Haywood E, Holt F, Pilsworth E, Rabiu R, Roscoe HW, Shergill S, Sriram A, Sureshkumar A, Tan LC, Tanna A, Vakharia A, Bhullar S, Brannick S, Dunne E, Frere M, Kerin M, Kumar KM, Pratumsuwan T, Quek R, Salman M, Van Den Berg N, Wong C, Ahluwalia J, Bagga R, Borg CM, Calabria C, Draper A, Farwana M, Joyce H, Khan A, Mazza M, Pankin G, Sait MS, Sandhu N, Virani N, Wong J, Woodhams K, Croghan N, Ghag S, Hogg G, Ismail O, John N, Nadeem K, Naqi M, Noe SM, Sharma A, Tan S, Begum F, Best R, Collishaw A, Glasbey J, Golding D, Gwilym B, Harrison P, Jackman T, Lewis N, Luk YL, Porter T, Potluri S, Stechman M, Tate S, Thomas D, Walford B, Auld F, Bleakley A, Johnston S, Jones C, Khaw J, Milne S, O'Neill S, Singh KKR, Smith R, Swan A, Thorley N, Yalamarthi S, Yin ZD, Ali A, Balian V, Bana R, Clark K, Livesey C, McLachlan G, Mohammad M, Pranesh N, Richards C, Ross F, Sajid M, Brooke M, Francombe J, Gresly J, Hutchinson S, Kerrigan K, Matthews E, Nur S, Parsons L, Sandhu A, Vyas M, White F, Zulkifli A, Zuzarte L, Al-Mousawi A, Arya J, Azam S, Yahaya AA, Gill K, Hallan R, Hathaway C, Leptidis I, McDonagh L, Mitrasinovic S, Mushtaq N, Pang N, Peiris GB, Rinkoff S, Chan L, Christopher E, Farhan-Alanie MMH, Gonzalez-Ciscar A, Graham CJ, Lim H, McLean KA, Paterson HM, Rogers A, Roy C, Rutherford D, Smith F, Zubikarai G, Al-Khudairi R, Bamford M, Chang M, Cheng J, Hedley C, Joseph R, Mitchell B, Perera S, Rothwell L, Siddiqui A, Smith J, Taylor K, Wright OW, Baryan HK, Boyd G, Conchie H, Cox L, Davies J, Gardner S, Hill N, Krishna K, Lakin F, Scotcher S, Alberts J, Asad M, Barraclough J, Campbell A, Marshall D, Wakeford W, Cronbach P, D'Souza F, Gammeri E, Houlton J, Hall M, Kethees A, Patel R, Perera M, Prowle J, Shaid M, Webb E, Beattie S, Chadwick M, El-Taji O, Haddad S, Mann M, Patel M, Popat K, Rimmer L, Riyat H, Smith H, Anandarajah C, Cipparrone M, Desai K, Gao C, Goh ET, Howlader M, Jeffreys N, Karmarkar A, Mathew G, Mukhtar H, Ozcan E, Renukanthan A, Sarens N, Sinha C, Woolley A, Bogle R, Komolafe O, Loo F, Waugh D, Zeng R, Crewe A, Mathias J, Mills A, Owen A, Prior A, Saunders I, Baker A, Crilly L, McKeon J, Ubhi HK, Adeogun A, Carr R, Davison C, Devalia S, Hayat A, Karsan RB, Osborne C, Scott K, Weegenaar C, Wijeyaratne M, Babatunde F, Barnor-Ahiaku E, Beattie G, Chitsabesan P, Dixon O, Hall N, Ilenkovan N, Mackrell T, Nithianandasivam N, Orr J, Palazzo F, Saad M, Sandland-Taylor L, Sherlock J, Ashdown T, Chandler S, Garsaa T, Lloyd J, Loh SY, Ng S, Perkins C, Powell-Chandler A, Smith F, Underhill R. Perioperative intravenous contrast administration and the incidence of acute kidney injury after major gastrointestinal surgery: prospective, multicentre cohort study. Br J Surg 2020; 107:1023-1032. [PMID: 32026470 DOI: 10.1002/bjs.11453] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2019] [Revised: 09/21/2019] [Accepted: 11/08/2019] [Indexed: 01/14/2023]
Abstract
BACKGROUND This study aimed to determine the impact of preoperative exposure to intravenous contrast for CT and the risk of developing postoperative acute kidney injury (AKI) in patients undergoing major gastrointestinal surgery. METHODS This prospective, multicentre cohort study included adults undergoing gastrointestinal resection, stoma reversal or liver resection. Both elective and emergency procedures were included. Preoperative exposure to intravenous contrast was defined as exposure to contrast administered for the purposes of CT up to 7 days before surgery. The primary endpoint was the rate of AKI within 7 days. Propensity score-matched models were adjusted for patient, disease and operative variables. In a sensitivity analysis, a propensity score-matched model explored the association between preoperative exposure to contrast and AKI in the first 48 h after surgery. RESULTS A total of 5378 patients were included across 173 centres. Overall, 1249 patients (23·2 per cent) received intravenous contrast. The overall rate of AKI within 7 days of surgery was 13·4 per cent (718 of 5378). In the propensity score-matched model, preoperative exposure to contrast was not associated with AKI within 7 days (odds ratio (OR) 0·95, 95 per cent c.i. 0·73 to 1·21; P = 0·669). The sensitivity analysis showed no association between preoperative contrast administration and AKI within 48 h after operation (OR 1·09, 0·84 to 1·41; P = 0·498). CONCLUSION There was no association between preoperative intravenous contrast administered for CT up to 7 days before surgery and postoperative AKI. Risk of contrast-induced nephropathy should not be used as a reason to avoid contrast-enhanced CT.
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Roth RH, Harrison E, Kang H, Lobo J, Logan J, Sohn M, Kwon Y. 0840 Sleep Quality in Clinically Indicated In-Laboratory Polysomnography. Sleep 2020. [DOI: 10.1093/sleep/zsaa056.836] [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: 11/13/2022] Open
Abstract
Abstract
Introduction
Few studies have explored how patients sleep or what characteristics might be predictive of poor sleep during clinically-indicated polysomnography (PSG) in an in-laboratory setting.
Methods
We reviewed clinically indicated diagnostic PSG studies completed over a 10-year period in a single academic sleep center. Total sleep time (TST) and sleep efficiency (SE) were used as proxies for sleep quality. Patients were categorized as normal or poor sleepers based on TST <4 hours or SE <50%. Multivariate linear and logistic regression analyses were performed to determine factors associated with sleep quality while controlling for demographics, medications, comorbidities and measures of sleep.
Results
We included 4957 patients, who were mostly female (58.9%), middle-aged (52.9 y), Caucasian (69.3%), and overweight or obese (91.3%). 3682 patients (74.2%) were diagnosed with sleep apnea (Apnea Hypopnea Index(AHI)>5/hr).
Average TST was 5.75±1.43 hours (Interquartile range [IQR] = 4.94 - 6.73) and average SE was 75.1%±16.1% (IQR=66.9 - 87.2). TST and SE were lower for males compared to females (5.48 vs 5.93 hr, p<0.001; 73% vs 77%, p<0.001). In multivariable analysis, older age (TST: OR = 1.04, 95% CI:[1.03,1.05]; SE: OR = 1.04, 95% CI:[1.04,1.05]), male sex (TST: 1.38,[1.14,1.68]; SE: 1.34,[1.07,1.68]), normal body habitus (TST: 1.47,[1.02,2.08]; SE: 1.51,[1.01,2.27]) and a higher AHI (TST: 1.02,[1.02,1.03]; SE: 1.02,[1.003,1.03]) were significantly associated with being a poor sleeper for both TST and SE. Antidepressant use was associated with poor sleep for TST (0.77, [0.59,1]), but not for SE (0.98, [0.73,1.3]).
Conclusion
Sleep quality during the in-laboratory PSG differed by sex, age and presence of sleep apnea. Sleep quality during in-lab PSG is thought to be compromised by obtrusive monitoring and an unfamiliar environment, but average sleep quality may be higher than expected for patients in the laboratory. Future studies should consider examining in-lab sleep quality in different patient populations.
Support
N/A
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Affiliation(s)
- R H Roth
- University of Virginia School of Medicine, Charlottesville, VA
| | - E Harrison
- UPMC Children’s Hospital of Pittsburgh, Pittsburgh, PA
| | - H Kang
- University of Illinois College of Applied Health Sciences, Champaign, IL
| | - J Lobo
- University of Virginia Public Health Sciences, Charlottesville, VA
| | - J Logan
- University of Virginia School of Nursing, Charlottesville, VA
| | - M Sohn
- University of Kentucky College of Public Health, Lexington, KY
| | - Y Kwon
- University of Virginia School of Medicine, Charlottesville, VA
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Curigliano G, Lenihan D, Fradley M, Ganatra S, Barac A, Blaes A, Herrmann J, Porter C, Lyon AR, Lancellotti P, Patel A, DeCara J, Mitchell J, Harrison E, Moslehi J, Witteles R, Calabro MG, Orecchia R, de Azambuja E, Zamorano JL, Krone R, Iakobishvili Z, Carver J, Armenian S, Ky B, Cardinale D, Cipolla CM, Dent S, Jordan K. Management of cardiac disease in cancer patients throughout oncological treatment: ESMO consensus recommendations. Ann Oncol 2020; 31:171-190. [PMID: 31959335 PMCID: PMC8019325 DOI: 10.1016/j.annonc.2019.10.023] [Citation(s) in RCA: 488] [Impact Index Per Article: 122.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2019] [Revised: 10/18/2019] [Accepted: 10/21/2019] [Indexed: 12/13/2022] Open
Abstract
Cancer and cardiovascular (CV) disease are the most prevalent diseases in the developed world. Evidence increasingly shows that these conditions are interlinked through common risk factors, coincident in an ageing population, and are connected biologically through some deleterious effects of anticancer treatment on CV health. Anticancer therapies can cause a wide spectrum of short- and long-term cardiotoxic effects. An explosion of novel cancer therapies has revolutionised this field and dramatically altered cancer prognosis. Nevertheless, these new therapies have introduced unexpected CV complications beyond heart failure. Common CV toxicities related to cancer therapy are defined, along with suggested strategies for prevention, detection and treatment. This ESMO consensus article proposes to define CV toxicities related to cancer or its therapies and provide guidance regarding prevention, screening, monitoring and treatment of CV toxicity. The majority of anticancer therapies are associated with some CV toxicity, ranging from asymptomatic and transient to more clinically significant and long-lasting cardiac events. It is critical however, that concerns about potential CV damage resulting from anticancer therapies should be weighed against the potential benefits of cancer therapy, including benefits in overall survival. CV disease in patients with cancer is complex and treatment needs to be individualised. The scope of cardio-oncology is wide and includes prevention, detection, monitoring and treatment of CV toxicity related to cancer therapy, and also ensuring the safe development of future novel cancer treatments that minimise the impact on CV health. It is anticipated that the management strategies discussed herein will be suitable for the majority of patients. Nonetheless, the clinical judgment of physicians remains extremely important; hence, when using these best clinical practices to inform treatment options and decisions, practitioners should also consider the individual circumstances of their patients on a case-by-case basis.
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Affiliation(s)
- G. Curigliano
- European Institute of Oncology IRCCS, Milan
- Department of Oncology and Haematology (DIPO), University of Milan, Milan, Italy
| | - D. Lenihan
- Cardiovascular Division, Cardio-Oncology Center of Excellence, Washington University Medical Center, St. Louis
| | - M. Fradley
- Cardio-oncology Program, Division of Cardiovascular Medicine, Morsani College of Medicine and H. Lee Moffitt Cancer Center and Research Institute, University of South Florida, Tampa
| | - S. Ganatra
- Cardio-Oncology Program, Lahey Medical Center, Burlington
| | - A. Barac
- Cardio-Oncology Program, Medstar Heart and Vascular Institute and MedStar Georgetown Cancer Institute, Georgetown University Hospital, Washington DC
| | - A. Blaes
- Division of Hematology, Oncology and Transplantation, University of Minnesota, Minneapolis
| | | | - C. Porter
- University of Kansas Medical Center, Lawrence, USA
| | - A. R. Lyon
- Royal Brompton Hospital and Imperial College, London, UK
| | - P. Lancellotti
- GIGA Cardiovascular Sciences, Acute Care Unit, Heart Failure Clinic, CHU Sart Tilman, University Hospital of Liège, Liège, Belgium
| | - A. Patel
- Morsani College of Medicine, University of South Florida, Tampa
| | - J. DeCara
- Medicine Section of Cardiology, University of Chicago, Chicago
| | - J. Mitchell
- Washington University Medical Center, St. Louis
| | - E. Harrison
- HCA Memorial Hospital and University of South Florida, Tampa
| | - J. Moslehi
- Vanderbilt University School of Medicine, Nashville
| | - R. Witteles
- Division of Cardiovascular Medicine, Falk CVRC, Stanford University School of Medicine, Stanford, USA
| | - M. G. Calabro
- Department of Anesthesia and Intensive Care, IRCCS, San Raffaele Scientific Institute, Milan, Italy
| | | | - E. de Azambuja
- Institut Jules Bordet and L’Université Libre de Bruxelles, Brussels, Belgium
| | | | - R. Krone
- Division of Cardiology, Washington University, St. Louis, USA
| | - Z. Iakobishvili
- Clalit Health Services, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - J. Carver
- Division of Cardiology, Abramson Cancer Center, Hospital of the University of Pennsylvania, Philadelphia
| | - S. Armenian
- Department of Population Sciences, City of Hope Comprehensive Cancer Center, Duarte
| | - B. Ky
- University of Pennsylvania School of Medicine, Philadelphia, USA
| | - D. Cardinale
- Cardioncology Unit, European Institute of Oncology, IRCCS, Milan
| | - C. M. Cipolla
- Cardiology Department, European Institute of Oncology, IRCCS, Milan, Italy
| | - S. Dent
- Duke Cancer Institute, Duke University, Durham, USA
| | - K. Jordan
- Department of Medicine V, Hematology, Oncology and Rheumatology, University of Heidelberg, Heidelberg, Germany
| | - ESMO Guidelines Committee
- Correspondence to: ESMO Guidelines Committee, ESMO Head Office, Via Ginevra 4, CH-6900 Lugano, Switzerland, (ESMO Guidelines Committee)
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Tsonis O, Gkrozou F, Harrison E, Stefanidis K, Vrachnis N, Paschopoulos M. Female genital tract microbiota affecting the risk of preterm birth: What do we know so far? A review. Eur J Obstet Gynecol Reprod Biol 2019; 245:168-173. [PMID: 31923737 DOI: 10.1016/j.ejogrb.2019.12.005] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2019] [Revised: 11/29/2019] [Accepted: 12/06/2019] [Indexed: 12/20/2022]
Abstract
Spontaneous Preterm birth (SPTB) is a common obstetric complication affecting 12.9 million births worldwide and is the leading cause of neonatal morbidity and mortality. Disruption in the vaginal microbiota has an impact on the maternal immunological profile leading to SPTBs. Scientists have struggled to link maternal infectious agents with the dysregulation of the maternal immune response in cases of SPTBs. Throughout the last decade, important findings regarding the role of microbiota and its genome, the so-called microbiome, have linked alterations within the population of the microorganisms in our bodies with changes in nutrition, immunity, behaviour and diseases. In this review, evidence regarding the female genital tract microbiota and microbiome has been examined to help further our understanding of its role in disrupting the maternal immune system resulting in spontaneous preterm birth.
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Affiliation(s)
- O Tsonis
- Department of Obstetrics and Gynaecology, University Hospital of Ioannina, Greece.
| | - F Gkrozou
- Department of Obstetrics and Gynaecology, University Hospitals of Birmingham, UK
| | - E Harrison
- Department of Obstetrics and Gynaecology, University Hospitals of Birmingham, UK
| | - K Stefanidis
- Department of Obstetrics and Gynaecology, University Hospital of Athens, "Alexandra", Greece
| | - N Vrachnis
- 3rd Department of Obstetrics and Gynaecology, National and Kapodistrian University of Athens Medical School, Attikon Hospital, Athens, Greece
| | - M Paschopoulos
- Department of Obstetrics and Gynaecology, University Hospital of Ioannina, Greece
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Roberts V, Mason LW, Harrison E, Molloy AP, Mangwani J. Does functional outcome depend on the quality of the fracture fixation? Mid to long term outcomes of ankle fractures at two university teaching hospitals. Foot Ankle Surg 2019; 25:538-541. [PMID: 30321948 DOI: 10.1016/j.fas.2018.04.008] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [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: 01/15/2018] [Revised: 04/01/2018] [Accepted: 04/30/2018] [Indexed: 02/04/2023]
Abstract
BACKGROUND The aim of our study was to assess the adequacy of reduction and internal fixation of ankle fractures and the long-term functional outcomes of patients treated in two university teaching hospitals by general orthopaedic surgeons. METHOD We performed a retrospective study involving two large trauma units in the UK, reviewing all operatively treated unstable ankle fractures performed in one centre between 1st October 2006 and 31st December 2007 and another centre between 1st January 2009 and 31st December 2009. All patients were contacted by postal follow up at a minimum of 6-years using the Olerud-Molander Ankle Score (OMAS). RESULTS 261 patients underwent operative treatment for ankle fractures during the study period at the two hospitals. 107 patients responded to the questionnaire. Analysis of patients' functional outcome by fracture type reveals that the outcome scores decrease as the complexity of the ankle fracture increases. A significant finding within subgroup analysis found that trimalleolar fractures (B3) have worse outcomes than bimalleolar fractures (B2 and C); which in turn have worse outcomes than isolated lateral malleolar fractures (B1). Analyzing the outcome of patients based on the severity of malreduction revealed that Pettrone's value was inversely proportional to the OMAS. CONCLUSION We have found a significant reduction in patient reported function in patients whose fractures were malreduced at time of surgery.
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Affiliation(s)
- Veronica Roberts
- University Hospitals of Leicester, Leicester Royal Infirmary, Infirmary Square, Leicester, LE1 5WW, United Kingdom
| | - Lyndon W Mason
- Aintree University Hospital, Lower Lane, Liverpool, L9 7AL, United Kingdom.
| | - E Harrison
- Aintree University Hospital, Lower Lane, Liverpool, L9 7AL, United Kingdom
| | - Andrew P Molloy
- Aintree University Hospital, Lower Lane, Liverpool, L9 7AL, United Kingdom
| | - Jitendra Mangwani
- University Hospitals of Leicester, Leicester Royal Infirmary, Infirmary Square, Leicester, LE1 5WW, United Kingdom
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Mefo T, Harrison E, Murdoch A, Reed B. Abstract 4947: Plucked anagen scalp hair: A comparison between different analytical techniques to establish reproducible drug induced transcriptional changes and provide pharmacodynamic biomarker and target engagement information from oncology patients. Cancer Res 2019. [DOI: 10.1158/1538-7445.am2019-4947] [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: 11/16/2022]
Abstract
Abstract
Plucked anagen scalp hair is an ideal surrogate tissue to monitor drug induced transcriptional changes. High vascularisation of the hair follicle, ease of sampling and high degree of similarity of expression in hair of pathways dysregulated in cancers, make the cellular bulb of plucked human scalp hair an excellent surrogate tissue for the non-invasive monitoring of pharmacodynamic (PD) and mechanism of action (MOA) effects in clinical trials. Using our ex vivo plucked hair culture platform, plucked scalp hair bulbs from several healthy donors were exposed to BEZ235, a dual pan-class PI3K and mTOR inhibitor at different concentrations and durations. Total RNA was isolated from the cellular bulb of anagen hair post-culture and samples were assessed by microarray and RNA-seq analysis to assess dose dependent global transcriptional alterations and develop a gene expression signature indicative of BEZ235 exposure. Two different microarrays, the Affymetrix Clariom D and U133 plus 2.0 arrays, were directly compared to RNA-seq data obtained from the same ex vivo culture samples. Genetic signatures indicative of exposure of plucked scalp hair to BEZ235 were established using all three analytical techniques. The transcriptional readouts from the plucked scalp hair samples revealed strong correlations (0.97-0.99) in the genes expressed in anagen scalp hair between donors. In addition, global gene expression data indicated that assessing pooled scalp hairs was sufficient to detect significant differential expression (p<0.05 & 1.5 fold change) underpinning the low variance in the majority of target genes in plucked hair as a biomarker platform. Gene signatures for compounds targeting the PI3K/mTOR pathway that were established using the ex vivo plucked scalp hair platform were subsequently used to support clinical trials and scalp hair taken from patients receiving treatment showed an excellent post-exposure target signature modulation. In summary, the results of the ex vivo plucked assessment generated a dose dependent and biologically relevant transcriptional signature following exposure to BEZ235. Plucked anagen scalp hair is therefore an ideal non-invasive surrogate tissue to obtain drug-induced pharmacodynamic biomarker and target engagement information from oncology patients.
Citation Format: Tim Mefo, Elliott Harrison, Alan Murdoch, Benjamin Reed. Plucked anagen scalp hair: A comparison between different analytical techniques to establish reproducible drug induced transcriptional changes and provide pharmacodynamic biomarker and target engagement information from oncology patients [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 4947.
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Affiliation(s)
- Tim Mefo
- Epistem Ltd., Manchester, United Kingdom
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15
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Armar-Klemesu M, Rikimaru T, Kennedy DO, Harrison E, Kido Y, Takyi EEK. Household Food Security, Food Consumption Patterns, and the Quality of Children's Diet in a Rural Northern Ghana Community. Food Nutr Bull 2018. [DOI: 10.1177/156482659501600106] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Twenty households in a rural northern Ghana community were studied to ascertain evidence of seasonality and the relationship between household food-security status and the food and nutrient intakes of preschool children. All food consumed by household members was weighed for three consecutive days, and nutrient intakes were calculated from appropriate food composition tables. Diet quality was assessed by quantitative and descriptive analysis. Mean daily intakes of selected food items reflected an over-dependence on cereals and a minimal consumption of animal products. The consumption of vegetables, especially low during the pre-harvest season, increased during the post-harvest season. Nutrient intakes, which were generally lower than recommended dietary allowances, increased during the post-harvest season, although not significantly for calories, protein, and iron (p <.05), in contrast to vitamins A and C (p < .001). There was a significant association between household food-security status and the intakes of calories (p < .001) and protein (p < .01) but not of micronutrients. Diet quality was adversely influenced by a low intake of micronutrients derived primarily from plant sources as well as by poor dietary habits. Calorie and protein intakes appear to have been more influenced by household food availability and were subject to less seasonal fluctuation, while the reverse held true for the micronutrients. In addition, household food security did not necessarily ensure the quality of children's diets in an area where food consumption patterns are monotonous.
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16
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Llibre A, Shimakawa Y, Mottez E, Ainsworth S, Buivan TP, Firth R, Harrison E, Rosenberg AR, Meritet JF, Fontanet A, Castan P, Madejón A, Laverick M, Glass A, Viana R, Pol S, McClure CP, Irving WL, Miele G, Albert ML, Duffy D. Development and clinical validation of the Genedrive point-of-care test for qualitative detection of hepatitis C virus. Gut 2018; 67:2017-2024. [PMID: 29615488 PMCID: PMC6176522 DOI: 10.1136/gutjnl-2017-315783] [Citation(s) in RCA: 50] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/30/2017] [Revised: 03/09/2018] [Accepted: 03/14/2018] [Indexed: 12/31/2022]
Abstract
OBJECTIVE Recently approved direct acting antivirals provide transformative therapies for chronic hepatitis C virus (HCV) infection. The major clinical challenge remains to identify the undiagnosed patients worldwide, many of whom live in low-income and middle-income countries, where access to nucleic acid testing remains limited. The aim of this study was to develop and validate a point-of-care (PoC) assay for the qualitative detection of HCV RNA. DESIGN We developed a PoC assay for the qualitative detection of HCV RNA on the PCR Genedrive instrument. We validated the Genedrive HCV assay through a case-control study comparing results with those obtained with the Abbott RealTime HCV test. RESULTS The PoC assay identified all major HCV genotypes, with a limit of detection of 2362 IU/mL (95% CI 1966 to 2788). Using 422 patients chronically infected with HCV and 503 controls negative for anti-HCV and HCV RNA, the Genedrive HCV assay showed 98.6% sensitivity (95% CI 96.9% to 99.5%) and 100% specificity (95% CI 99.3% to 100%) to detect HCV. In addition, melting peak ratiometric analysis demonstrated proof-of-principle for semiquantification of HCV. The test was further validated in a real clinical setting in a resource-limited country. CONCLUSION We report a rapid, simple, portable and accurate PoC molecular test for HCV, with sensitivity and specificity that fulfils the recent FIND/WHO Target Product Profile for HCV decentralised testing in low-income and middle-income countries. This Genedrive HCV assay may positively impact the continuum of HCV care from screening to cure by supporting real-time treatment decisions. TRIAL REGISTRATION NUMBER NCT02992184 .
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Affiliation(s)
- Alba Llibre
- Immunobiology of Dendritic Cells, Institut Pasteur, Paris, France
- Inserm U1223, Institut Pasteur, Paris, France
| | - Yusuke Shimakawa
- Unité d’Epidémiologie des Maladies Emergentes, Institut Pasteur, Paris, France
| | - Estelle Mottez
- Centre for Translational Research, Institut Pasteur, Paris, France
- INSERM UMS20, Institut Pasteur, Paris, France
| | | | - Tan-Phuc Buivan
- Centre for Translational Research, Institut Pasteur, Paris, France
- INSERM UMS20, Institut Pasteur, Paris, France
| | | | | | - Arielle R Rosenberg
- Université Paris Descartes, EA4474 "Hepatitis C Virology", AP-HP, Hôpital Cochin, Service de Virologie, Paris, France
| | - Jean-François Meritet
- Université Paris Descartes, EA4474 "Hepatitis C Virology", AP-HP, Hôpital Cochin, Service de Virologie, Paris, France
| | - Arnaud Fontanet
- Unité d’Epidémiologie des Maladies Emergentes, Institut Pasteur, Paris, France
- PACRI Unit, Conservatoire National des Arts et Métiers, Paris, France
| | | | - Antonio Madejón
- Liver Unit, Hospital Universitario La Paz, CIBERehd, IdiPAZ, Madrid, Spain
| | | | | | | | - Stanislas Pol
- Immunobiology of Dendritic Cells, Institut Pasteur, Paris, France
- Inserm U1223, Institut Pasteur, Paris, France
- Centre for Translational Research, Institut Pasteur, Paris, France
- Université Paris Descartes, EA4474 "Hepatitis C Virology", AP-HP, Hôpital Cochin, Service de Virologie, Paris, France
| | - C Patrick McClure
- Gastrointestinal and Liver Disorders Theme, NIHR Nottingham Biomedical Research Centre, Nottingham University Hospitals NHS Trust, University of Nottingham, Nottingham, UK
| | - William Lucien Irving
- Gastrointestinal and Liver Disorders Theme, NIHR Nottingham Biomedical Research Centre, Nottingham University Hospitals NHS Trust, University of Nottingham, Nottingham, UK
| | | | - Matthew L Albert
- Immunobiology of Dendritic Cells, Institut Pasteur, Paris, France
- Inserm U1223, Institut Pasteur, Paris, France
- Centre for Translational Research, Institut Pasteur, Paris, France
- Department of Cancer Immunology, Genentech Inc, San Francisco, California, USA
| | - Darragh Duffy
- Immunobiology of Dendritic Cells, Institut Pasteur, Paris, France
- Inserm U1223, Institut Pasteur, Paris, France
- Centre for Translational Research, Institut Pasteur, Paris, France
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17
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Wijaya S, Harrison E, Moody M, Wilson C, Hughes-Davies L, Caldas C, Earl H, Baird R. Pneumocystis jiroveci pneumonia (PCP) in patients receiving weekly chemotherapy for metastatic breast cancer. Ann Oncol 2017. [DOI: 10.1093/annonc/mdx365.058] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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18
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Reed BJ, Mefo T, Harrison E, Haggart R, Grimes E, Murdoch A, Miele G. Abstract 3830: Plucked anagen scalp hair: A reproducible surrogate tissue to monitor drug induced transcriptional changes and provide pharmacodynamic biomarker and target engagement information from cancer patients. Cancer Res 2017. [DOI: 10.1158/1538-7445.am2017-3830] [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: 11/16/2022]
Abstract
Abstract
Monitoring target engagement is crucial to inform on early drug development decisions, and development of a peripheral tissue-based gene expression signature indicative of pathway inhibition could facilitate the continued clinical development of compounds. Plucked anagen scalp hair is an ideal source of epithelial tissue to monitor drug induced transcriptional changes. High vascularisation of the hair follicle, frequent epithelial origin of tumors, ease of sampling and high degree of congruence of expression in hair of pathways dysregulated in cancers, make the cellular bulb of plucked human scalp hair an excellent surrogate tissue for the non-invasive monitoring of pharmacodynamic (PD) and mechanism of action (MOA) effects in clinical trials. Using our ex vivo plucked hair culture platform, hair bulbs from several healthy donors were exposed to BEZ235, a dual pan-class PI3K and mTOR inhibitor at different concentrations and durations. Total RNA was isolated from the cellular bulb of individual anagen hair post-culture and used for microarray analysis to assess global transcriptional alterations and develop a gene expression signature indicative of BEZ235 exposure. The results of the ex vivo plucked assessment generated a dose dependent appreciable and biologically relevant transcriptional signature following exposure to BEZ235. Transcriptional readouts from patients also revealed strong correlations (0.97-0.99) in the genes expressed in anagen scalp hair between donors and across samples taken from the same donor. In addition, global gene expression data indicated that assessing three plucked scalp hairs or less at each collection point was sufficient to detect significant differential expression (p<0.05 & 1.5 fold change) underpinning the low variance in the majority of target genes in plucked hair as a biomarker platform. Gene signatures for compounds targeting the PI3K/mTOR pathway that were established using the ex vivo plucked scalp hair platform were used to support clinical trials and scalp hair taken from patients receiving treatment showed an excellent post-exposure target signature modulation. In summary, our results substantiate that plucked anagen scalp hair is an ideal non-invasive surrogate tissue to obtain drug-induced pharmacodynamic biomarker and target engagement information from oncology patients.
Citation Format: Benjamin J. Reed, Timothy Mefo, Elliott Harrison, Ross Haggart, Emma Grimes, Alan Murdoch, Gino Miele. Plucked anagen scalp hair: A reproducible surrogate tissue to monitor drug induced transcriptional changes and provide pharmacodynamic biomarker and target engagement information from cancer patients [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 3830. doi:10.1158/1538-7445.AM2017-3830
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Affiliation(s)
| | | | | | | | | | | | - Gino Miele
- Epistem Ltd., Manchester, United Kingdom
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19
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Haggart R, Arzola-Donate C, Harrison E, Reed BJ, Alzabin S, Miele G. Abstract 1677: Immuno-target selection of infiltrating immune cells and laser capture microdissection mediated transcriptional profiling. Cancer Res 2017. [DOI: 10.1158/1538-7445.am2017-1677] [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: 11/16/2022]
Abstract
Abstract
Immune checkpoints define an evolving class of inhibitory mediators that are expressed by tumour cells and infiltrating leucocytes to down-modulate the effector immune response against tumour cells. Therefore, the most recent efforts in cancer therapy centre on targeting immune-mediated mechanisms of tumour evasion. The ability to assess gene expression profiles from isolated populations of tumour-infiltrating lymphocytes (TILs) can assist in monitoring checkpoint inhibitor therapy efficacy and provide a better understanding of clinical outcomes. Ideally, transcriptional profiles should be obtained from isolated cell populations of interest, free from contaminating cell populations that may create adverse background noise. Micro sampling by laser capture microdissection is a powerful tool that allows for specific analysis from whole tissues, particularly in a heterogeneous microenvironment such as in a tumour, where less well represented target cells are dwarfed in abundance by tissue stroma and other cell types. However, whilst the application is potentially powerful for target discovery and mechanistic understanding, the process is notoriously difficult, particularly in clinical specimens. We developed a methodology to successfully overcome these challenges in analysing target cells, organelles or other tissue subsets by transcriptional profiling following immunostain-mediated laser capture microscopy (LCM). Thorough optimisation of traditional immunohistochemistry techniques enabled us to select target cell populations of interest from tissue sections whilst minimising degradation of mRNA and miRNA allowing us to perform genomic and pathway interrogation using microarray and/or RT-qPCR analysis. Our technique allows multiple capture types per slide, sample pooling when required, high capture throughput and capture image documentation. Multiple target selection, to differentiate lymphocytes, can be performed routinely using comparative serial sectioning. Here we exhibit simple staining and immunostaining histology images using methods sympathetic to RNA integrity which allow for target selection by specific staining or target morphology, and demonstrate comparative analysis of matched pairs of disease and healthy sections of colon tumours. We used a Palm MicroBeam 4 LCM platform to identify, cut and specifically capture CD8+ tumour-infiltrating lymphocytes from frozen embedded tissue. This approach enabled us to isolate discrete targeted cell populations free from contaminating cell populations. Epistem’s Single Cell RNA-Amp™ was then used to provide robust and linear amplification of RNA and enable comparative analysis in applications such as target discovery and pharmacodynamics. The results indicated that transcriptional profiling was technically robust with a good replicate correlation despite the limited input obtained by micro-sampling.
Citation Format: Ross Haggart, Chaxiraxi Arzola-Donate, Elliott Harrison, Benjamin J. Reed, Saba Alzabin, Gino Miele. Immuno-target selection of infiltrating immune cells and laser capture microdissection mediated transcriptional profiling [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 1677. doi:10.1158/1538-7445.AM2017-1677
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Affiliation(s)
| | | | | | | | | | - Gino Miele
- Epistem Ltd., Manchester, United Kingdom
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20
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Baird RD, Ramenatte N, Watts C, Jonson A, Jones L, Biggs H, Harrison E, Oberg I, Bullen G, Williams M, Qian W, Gilbert F, Jodrell D, Caldas C, Karabatsou K, Dunn L, Jena R, Whitfield G, Chalmers A, Jefferies S, Price S. Abstract OT1-04-01: Cambridge brain mets trial 1 (CamBMT1): A proof-of-principle phase 1b / randomised phase 2 study of afatinib penetration into brain metastases for patients undergoing neurosurgical resection, both with and without prior low-dose, targeted radiotherapy. Cancer Res 2017. [DOI: 10.1158/1538-7445.sabcs16-ot1-04-01] [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: 11/16/2022]
Abstract
Abstract
Background
Failure of drugs to cross the blood brain barrier (BBB) can be a major reason for treatment failure for patients with brain tumors. For most patients who don't respond to treatment, it is not known whether this is due to inadequate drug concentrations in the tumor, or due to drug resistance. Preliminary data suggest that low-dose radiotherapy may disrupt the BBB, and could facilitate increased drug delivery into brain tumors. Afatinib is a potent, irreversible inhibitor of EGFR / HER2 / HER4 and takes approximately 8 days to achieve steady-state concentrations in cancer patients.
Aims
CamBMT1 has been designed to investigate the delivery of afatinib into brain metastases and whether this might be enhanced by low dose-radiotherapy.
Patient Population
Key eligibility criteria
Patients with operable brain metastases from breast or lung primaries for whom neurosurgical resection would be standard of care, as determined by the local multi-disciplinary team. ECOG PS 0, 1 or 2.
Trial design
After a phase 1b safety run- in, the phase 2 part of the trial randomises patients (n=60) into 3 pre-operative arms:
Arm 1afatinib alone for 11 days, then neurosurgery on day 12Arm 2afatinib for 11 days plus a single 2 Gy fraction on day 10, then neurosurgery on day 12Arm 3afatinib for 11 days plus a single 4 Gy fraction on day 10, then neurosurgery on day 12
Primary endpoint: to compare steady-state afatinib concentration in resected brain metastases, following afatinib administered alone, or in combination with radiotherapy (2 Gy or 4 Gy). Afatinib concentrations are measured in the resected brain metastases and in plasma.
Secondary endpoints: safety of afatinib administration in combination with radiotherapy; and multi-sequence MRI (optional) to detect changes in perfusion, vascular density, blood-brain-barrier permeability and interstitial pressure.
Exploratory endpoints: molecular profiling of resected brain metastases, for comparison with paired primary lung and breast cancers; the establishment and study of patient-derived xenografts.
Statistical methods
With 20 patients randomised in each of 3 arms in the phase 2 part of CamBMT1, the trial has a power of 84% at a significance level of 20% (one-sided) to detect an increase in afatinib concentrations with targeted radiotherapy, measured as a Cohen's D (standardised mean difference) ≥0.5.
Accrual
By the end of q2 2016, phase 1b had nearly completed enrolment. The randomised phase 2 part of CamBMT1 is due to open by q4 2016 at additional Experimental Cancer Medicine Centres.
Acknowledgments
CamBMT1 is funded by Cancer Research UK, the Brain Tumour Charity and Boehringer-Ingelheim.
Citation Format: Baird RD, Ramenatte N, Watts C, Jonson A, Jones L, Biggs H, Harrison E, Oberg I, Bullen G, Williams M, Qian W, Gilbert F, Jodrell D, Caldas C, Karabatsou K, Dunn L, Jena R, Whitfield G, Chalmers A, Jefferies S, Price S. Cambridge brain mets trial 1 (CamBMT1): A proof-of-principle phase 1b / randomised phase 2 study of afatinib penetration into brain metastases for patients undergoing neurosurgical resection, both with and without prior low-dose, targeted radiotherapy [abstract]. In: Proceedings of the 2016 San Antonio Breast Cancer Symposium; 2016 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2017;77(4 Suppl):Abstract nr OT1-04-01.
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Affiliation(s)
- RD Baird
- Cambridge Cancer Centre - Breast Cancer Research Unit, Cambridge, Cambridgeshire, United Kingdom; Cambridge Clinical Trials Unit – Cancer Theme, Cambridge, Cambridgeshire, United Kingdom; Cambridge Cancer Centre - Early Phase Clinical Trials Team, Cambridge, Cambridgeshire, United Kingdom; University of Cambridge, Cambridge, Cambridgeshire, United Kingdom; Neuro-Oncology, Addenbrooke's Hospital, Cambridge, Cambridgeshire, United Kingdom; Cancer Research UK Cambridge Institute - PK-PD Core Facility, Cambridge, Cambridgeshire, United Kingdom; University of Glasgow - Neuro-Oncology, Glasgow, United Kingdom; University of Manchester, Manchester Academic Health Science Centre, Christie NHS Foundation Trust, Manchester, United Kingdom; University of Cambridge - Cambridge Cancer Centre, United Kingdom
| | - N Ramenatte
- Cambridge Cancer Centre - Breast Cancer Research Unit, Cambridge, Cambridgeshire, United Kingdom; Cambridge Clinical Trials Unit – Cancer Theme, Cambridge, Cambridgeshire, United Kingdom; Cambridge Cancer Centre - Early Phase Clinical Trials Team, Cambridge, Cambridgeshire, United Kingdom; University of Cambridge, Cambridge, Cambridgeshire, United Kingdom; Neuro-Oncology, Addenbrooke's Hospital, Cambridge, Cambridgeshire, United Kingdom; Cancer Research UK Cambridge Institute - PK-PD Core Facility, Cambridge, Cambridgeshire, United Kingdom; University of Glasgow - Neuro-Oncology, Glasgow, United Kingdom; University of Manchester, Manchester Academic Health Science Centre, Christie NHS Foundation Trust, Manchester, United Kingdom; University of Cambridge - Cambridge Cancer Centre, United Kingdom
| | - C Watts
- Cambridge Cancer Centre - Breast Cancer Research Unit, Cambridge, Cambridgeshire, United Kingdom; Cambridge Clinical Trials Unit – Cancer Theme, Cambridge, Cambridgeshire, United Kingdom; Cambridge Cancer Centre - Early Phase Clinical Trials Team, Cambridge, Cambridgeshire, United Kingdom; University of Cambridge, Cambridge, Cambridgeshire, United Kingdom; Neuro-Oncology, Addenbrooke's Hospital, Cambridge, Cambridgeshire, United Kingdom; Cancer Research UK Cambridge Institute - PK-PD Core Facility, Cambridge, Cambridgeshire, United Kingdom; University of Glasgow - Neuro-Oncology, Glasgow, United Kingdom; University of Manchester, Manchester Academic Health Science Centre, Christie NHS Foundation Trust, Manchester, United Kingdom; University of Cambridge - Cambridge Cancer Centre, United Kingdom
| | - A Jonson
- Cambridge Cancer Centre - Breast Cancer Research Unit, Cambridge, Cambridgeshire, United Kingdom; Cambridge Clinical Trials Unit – Cancer Theme, Cambridge, Cambridgeshire, United Kingdom; Cambridge Cancer Centre - Early Phase Clinical Trials Team, Cambridge, Cambridgeshire, United Kingdom; University of Cambridge, Cambridge, Cambridgeshire, United Kingdom; Neuro-Oncology, Addenbrooke's Hospital, Cambridge, Cambridgeshire, United Kingdom; Cancer Research UK Cambridge Institute - PK-PD Core Facility, Cambridge, Cambridgeshire, United Kingdom; University of Glasgow - Neuro-Oncology, Glasgow, United Kingdom; University of Manchester, Manchester Academic Health Science Centre, Christie NHS Foundation Trust, Manchester, United Kingdom; University of Cambridge - Cambridge Cancer Centre, United Kingdom
| | - L Jones
- Cambridge Cancer Centre - Breast Cancer Research Unit, Cambridge, Cambridgeshire, United Kingdom; Cambridge Clinical Trials Unit – Cancer Theme, Cambridge, Cambridgeshire, United Kingdom; Cambridge Cancer Centre - Early Phase Clinical Trials Team, Cambridge, Cambridgeshire, United Kingdom; University of Cambridge, Cambridge, Cambridgeshire, United Kingdom; Neuro-Oncology, Addenbrooke's Hospital, Cambridge, Cambridgeshire, United Kingdom; Cancer Research UK Cambridge Institute - PK-PD Core Facility, Cambridge, Cambridgeshire, United Kingdom; University of Glasgow - Neuro-Oncology, Glasgow, United Kingdom; University of Manchester, Manchester Academic Health Science Centre, Christie NHS Foundation Trust, Manchester, United Kingdom; University of Cambridge - Cambridge Cancer Centre, United Kingdom
| | - H Biggs
- Cambridge Cancer Centre - Breast Cancer Research Unit, Cambridge, Cambridgeshire, United Kingdom; Cambridge Clinical Trials Unit – Cancer Theme, Cambridge, Cambridgeshire, United Kingdom; Cambridge Cancer Centre - Early Phase Clinical Trials Team, Cambridge, Cambridgeshire, United Kingdom; University of Cambridge, Cambridge, Cambridgeshire, United Kingdom; Neuro-Oncology, Addenbrooke's Hospital, Cambridge, Cambridgeshire, United Kingdom; Cancer Research UK Cambridge Institute - PK-PD Core Facility, Cambridge, Cambridgeshire, United Kingdom; University of Glasgow - Neuro-Oncology, Glasgow, United Kingdom; University of Manchester, Manchester Academic Health Science Centre, Christie NHS Foundation Trust, Manchester, United Kingdom; University of Cambridge - Cambridge Cancer Centre, United Kingdom
| | - E Harrison
- Cambridge Cancer Centre - Breast Cancer Research Unit, Cambridge, Cambridgeshire, United Kingdom; Cambridge Clinical Trials Unit – Cancer Theme, Cambridge, Cambridgeshire, United Kingdom; Cambridge Cancer Centre - Early Phase Clinical Trials Team, Cambridge, Cambridgeshire, United Kingdom; University of Cambridge, Cambridge, Cambridgeshire, United Kingdom; Neuro-Oncology, Addenbrooke's Hospital, Cambridge, Cambridgeshire, United Kingdom; Cancer Research UK Cambridge Institute - PK-PD Core Facility, Cambridge, Cambridgeshire, United Kingdom; University of Glasgow - Neuro-Oncology, Glasgow, United Kingdom; University of Manchester, Manchester Academic Health Science Centre, Christie NHS Foundation Trust, Manchester, United Kingdom; University of Cambridge - Cambridge Cancer Centre, United Kingdom
| | - I Oberg
- Cambridge Cancer Centre - Breast Cancer Research Unit, Cambridge, Cambridgeshire, United Kingdom; Cambridge Clinical Trials Unit – Cancer Theme, Cambridge, Cambridgeshire, United Kingdom; Cambridge Cancer Centre - Early Phase Clinical Trials Team, Cambridge, Cambridgeshire, United Kingdom; University of Cambridge, Cambridge, Cambridgeshire, United Kingdom; Neuro-Oncology, Addenbrooke's Hospital, Cambridge, Cambridgeshire, United Kingdom; Cancer Research UK Cambridge Institute - PK-PD Core Facility, Cambridge, Cambridgeshire, United Kingdom; University of Glasgow - Neuro-Oncology, Glasgow, United Kingdom; University of Manchester, Manchester Academic Health Science Centre, Christie NHS Foundation Trust, Manchester, United Kingdom; University of Cambridge - Cambridge Cancer Centre, United Kingdom
| | - G Bullen
- Cambridge Cancer Centre - Breast Cancer Research Unit, Cambridge, Cambridgeshire, United Kingdom; Cambridge Clinical Trials Unit – Cancer Theme, Cambridge, Cambridgeshire, United Kingdom; Cambridge Cancer Centre - Early Phase Clinical Trials Team, Cambridge, Cambridgeshire, United Kingdom; University of Cambridge, Cambridge, Cambridgeshire, United Kingdom; Neuro-Oncology, Addenbrooke's Hospital, Cambridge, Cambridgeshire, United Kingdom; Cancer Research UK Cambridge Institute - PK-PD Core Facility, Cambridge, Cambridgeshire, United Kingdom; University of Glasgow - Neuro-Oncology, Glasgow, United Kingdom; University of Manchester, Manchester Academic Health Science Centre, Christie NHS Foundation Trust, Manchester, United Kingdom; University of Cambridge - Cambridge Cancer Centre, United Kingdom
| | - M Williams
- Cambridge Cancer Centre - Breast Cancer Research Unit, Cambridge, Cambridgeshire, United Kingdom; Cambridge Clinical Trials Unit – Cancer Theme, Cambridge, Cambridgeshire, United Kingdom; Cambridge Cancer Centre - Early Phase Clinical Trials Team, Cambridge, Cambridgeshire, United Kingdom; University of Cambridge, Cambridge, Cambridgeshire, United Kingdom; Neuro-Oncology, Addenbrooke's Hospital, Cambridge, Cambridgeshire, United Kingdom; Cancer Research UK Cambridge Institute - PK-PD Core Facility, Cambridge, Cambridgeshire, United Kingdom; University of Glasgow - Neuro-Oncology, Glasgow, United Kingdom; University of Manchester, Manchester Academic Health Science Centre, Christie NHS Foundation Trust, Manchester, United Kingdom; University of Cambridge - Cambridge Cancer Centre, United Kingdom
| | - W Qian
- Cambridge Cancer Centre - Breast Cancer Research Unit, Cambridge, Cambridgeshire, United Kingdom; Cambridge Clinical Trials Unit – Cancer Theme, Cambridge, Cambridgeshire, United Kingdom; Cambridge Cancer Centre - Early Phase Clinical Trials Team, Cambridge, Cambridgeshire, United Kingdom; University of Cambridge, Cambridge, Cambridgeshire, United Kingdom; Neuro-Oncology, Addenbrooke's Hospital, Cambridge, Cambridgeshire, United Kingdom; Cancer Research UK Cambridge Institute - PK-PD Core Facility, Cambridge, Cambridgeshire, United Kingdom; University of Glasgow - Neuro-Oncology, Glasgow, United Kingdom; University of Manchester, Manchester Academic Health Science Centre, Christie NHS Foundation Trust, Manchester, United Kingdom; University of Cambridge - Cambridge Cancer Centre, United Kingdom
| | - F Gilbert
- Cambridge Cancer Centre - Breast Cancer Research Unit, Cambridge, Cambridgeshire, United Kingdom; Cambridge Clinical Trials Unit – Cancer Theme, Cambridge, Cambridgeshire, United Kingdom; Cambridge Cancer Centre - Early Phase Clinical Trials Team, Cambridge, Cambridgeshire, United Kingdom; University of Cambridge, Cambridge, Cambridgeshire, United Kingdom; Neuro-Oncology, Addenbrooke's Hospital, Cambridge, Cambridgeshire, United Kingdom; Cancer Research UK Cambridge Institute - PK-PD Core Facility, Cambridge, Cambridgeshire, United Kingdom; University of Glasgow - Neuro-Oncology, Glasgow, United Kingdom; University of Manchester, Manchester Academic Health Science Centre, Christie NHS Foundation Trust, Manchester, United Kingdom; University of Cambridge - Cambridge Cancer Centre, United Kingdom
| | - D Jodrell
- Cambridge Cancer Centre - Breast Cancer Research Unit, Cambridge, Cambridgeshire, United Kingdom; Cambridge Clinical Trials Unit – Cancer Theme, Cambridge, Cambridgeshire, United Kingdom; Cambridge Cancer Centre - Early Phase Clinical Trials Team, Cambridge, Cambridgeshire, United Kingdom; University of Cambridge, Cambridge, Cambridgeshire, United Kingdom; Neuro-Oncology, Addenbrooke's Hospital, Cambridge, Cambridgeshire, United Kingdom; Cancer Research UK Cambridge Institute - PK-PD Core Facility, Cambridge, Cambridgeshire, United Kingdom; University of Glasgow - Neuro-Oncology, Glasgow, United Kingdom; University of Manchester, Manchester Academic Health Science Centre, Christie NHS Foundation Trust, Manchester, United Kingdom; University of Cambridge - Cambridge Cancer Centre, United Kingdom
| | - C Caldas
- Cambridge Cancer Centre - Breast Cancer Research Unit, Cambridge, Cambridgeshire, United Kingdom; Cambridge Clinical Trials Unit – Cancer Theme, Cambridge, Cambridgeshire, United Kingdom; Cambridge Cancer Centre - Early Phase Clinical Trials Team, Cambridge, Cambridgeshire, United Kingdom; University of Cambridge, Cambridge, Cambridgeshire, United Kingdom; Neuro-Oncology, Addenbrooke's Hospital, Cambridge, Cambridgeshire, United Kingdom; Cancer Research UK Cambridge Institute - PK-PD Core Facility, Cambridge, Cambridgeshire, United Kingdom; University of Glasgow - Neuro-Oncology, Glasgow, United Kingdom; University of Manchester, Manchester Academic Health Science Centre, Christie NHS Foundation Trust, Manchester, United Kingdom; University of Cambridge - Cambridge Cancer Centre, United Kingdom
| | - K Karabatsou
- Cambridge Cancer Centre - Breast Cancer Research Unit, Cambridge, Cambridgeshire, United Kingdom; Cambridge Clinical Trials Unit – Cancer Theme, Cambridge, Cambridgeshire, United Kingdom; Cambridge Cancer Centre - Early Phase Clinical Trials Team, Cambridge, Cambridgeshire, United Kingdom; University of Cambridge, Cambridge, Cambridgeshire, United Kingdom; Neuro-Oncology, Addenbrooke's Hospital, Cambridge, Cambridgeshire, United Kingdom; Cancer Research UK Cambridge Institute - PK-PD Core Facility, Cambridge, Cambridgeshire, United Kingdom; University of Glasgow - Neuro-Oncology, Glasgow, United Kingdom; University of Manchester, Manchester Academic Health Science Centre, Christie NHS Foundation Trust, Manchester, United Kingdom; University of Cambridge - Cambridge Cancer Centre, United Kingdom
| | - L Dunn
- Cambridge Cancer Centre - Breast Cancer Research Unit, Cambridge, Cambridgeshire, United Kingdom; Cambridge Clinical Trials Unit – Cancer Theme, Cambridge, Cambridgeshire, United Kingdom; Cambridge Cancer Centre - Early Phase Clinical Trials Team, Cambridge, Cambridgeshire, United Kingdom; University of Cambridge, Cambridge, Cambridgeshire, United Kingdom; Neuro-Oncology, Addenbrooke's Hospital, Cambridge, Cambridgeshire, United Kingdom; Cancer Research UK Cambridge Institute - PK-PD Core Facility, Cambridge, Cambridgeshire, United Kingdom; University of Glasgow - Neuro-Oncology, Glasgow, United Kingdom; University of Manchester, Manchester Academic Health Science Centre, Christie NHS Foundation Trust, Manchester, United Kingdom; University of Cambridge - Cambridge Cancer Centre, United Kingdom
| | - R Jena
- Cambridge Cancer Centre - Breast Cancer Research Unit, Cambridge, Cambridgeshire, United Kingdom; Cambridge Clinical Trials Unit – Cancer Theme, Cambridge, Cambridgeshire, United Kingdom; Cambridge Cancer Centre - Early Phase Clinical Trials Team, Cambridge, Cambridgeshire, United Kingdom; University of Cambridge, Cambridge, Cambridgeshire, United Kingdom; Neuro-Oncology, Addenbrooke's Hospital, Cambridge, Cambridgeshire, United Kingdom; Cancer Research UK Cambridge Institute - PK-PD Core Facility, Cambridge, Cambridgeshire, United Kingdom; University of Glasgow - Neuro-Oncology, Glasgow, United Kingdom; University of Manchester, Manchester Academic Health Science Centre, Christie NHS Foundation Trust, Manchester, United Kingdom; University of Cambridge - Cambridge Cancer Centre, United Kingdom
| | - G Whitfield
- Cambridge Cancer Centre - Breast Cancer Research Unit, Cambridge, Cambridgeshire, United Kingdom; Cambridge Clinical Trials Unit – Cancer Theme, Cambridge, Cambridgeshire, United Kingdom; Cambridge Cancer Centre - Early Phase Clinical Trials Team, Cambridge, Cambridgeshire, United Kingdom; University of Cambridge, Cambridge, Cambridgeshire, United Kingdom; Neuro-Oncology, Addenbrooke's Hospital, Cambridge, Cambridgeshire, United Kingdom; Cancer Research UK Cambridge Institute - PK-PD Core Facility, Cambridge, Cambridgeshire, United Kingdom; University of Glasgow - Neuro-Oncology, Glasgow, United Kingdom; University of Manchester, Manchester Academic Health Science Centre, Christie NHS Foundation Trust, Manchester, United Kingdom; University of Cambridge - Cambridge Cancer Centre, United Kingdom
| | - A Chalmers
- Cambridge Cancer Centre - Breast Cancer Research Unit, Cambridge, Cambridgeshire, United Kingdom; Cambridge Clinical Trials Unit – Cancer Theme, Cambridge, Cambridgeshire, United Kingdom; Cambridge Cancer Centre - Early Phase Clinical Trials Team, Cambridge, Cambridgeshire, United Kingdom; University of Cambridge, Cambridge, Cambridgeshire, United Kingdom; Neuro-Oncology, Addenbrooke's Hospital, Cambridge, Cambridgeshire, United Kingdom; Cancer Research UK Cambridge Institute - PK-PD Core Facility, Cambridge, Cambridgeshire, United Kingdom; University of Glasgow - Neuro-Oncology, Glasgow, United Kingdom; University of Manchester, Manchester Academic Health Science Centre, Christie NHS Foundation Trust, Manchester, United Kingdom; University of Cambridge - Cambridge Cancer Centre, United Kingdom
| | - S Jefferies
- Cambridge Cancer Centre - Breast Cancer Research Unit, Cambridge, Cambridgeshire, United Kingdom; Cambridge Clinical Trials Unit – Cancer Theme, Cambridge, Cambridgeshire, United Kingdom; Cambridge Cancer Centre - Early Phase Clinical Trials Team, Cambridge, Cambridgeshire, United Kingdom; University of Cambridge, Cambridge, Cambridgeshire, United Kingdom; Neuro-Oncology, Addenbrooke's Hospital, Cambridge, Cambridgeshire, United Kingdom; Cancer Research UK Cambridge Institute - PK-PD Core Facility, Cambridge, Cambridgeshire, United Kingdom; University of Glasgow - Neuro-Oncology, Glasgow, United Kingdom; University of Manchester, Manchester Academic Health Science Centre, Christie NHS Foundation Trust, Manchester, United Kingdom; University of Cambridge - Cambridge Cancer Centre, United Kingdom
| | - S Price
- Cambridge Cancer Centre - Breast Cancer Research Unit, Cambridge, Cambridgeshire, United Kingdom; Cambridge Clinical Trials Unit – Cancer Theme, Cambridge, Cambridgeshire, United Kingdom; Cambridge Cancer Centre - Early Phase Clinical Trials Team, Cambridge, Cambridgeshire, United Kingdom; University of Cambridge, Cambridge, Cambridgeshire, United Kingdom; Neuro-Oncology, Addenbrooke's Hospital, Cambridge, Cambridgeshire, United Kingdom; Cancer Research UK Cambridge Institute - PK-PD Core Facility, Cambridge, Cambridgeshire, United Kingdom; University of Glasgow - Neuro-Oncology, Glasgow, United Kingdom; University of Manchester, Manchester Academic Health Science Centre, Christie NHS Foundation Trust, Manchester, United Kingdom; University of Cambridge - Cambridge Cancer Centre, United Kingdom
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Gurrala R, Lang Z, Shepherd L, Davidson D, Harrison E, McClure M, Kaye S, Toumazou C, Cooke GS. Novel pH sensing semiconductor for point-of-care detection of HIV-1 viremia. Sci Rep 2016; 6:36000. [PMID: 27829667 PMCID: PMC5103182 DOI: 10.1038/srep36000] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2016] [Accepted: 10/11/2016] [Indexed: 11/10/2022] Open
Abstract
The timely detection of viremia in HIV-infected patients receiving antiviral treatment is key to ensuring effective therapy and preventing the emergence of drug resistance. In high HIV burden settings, the cost and complexity of diagnostics limit their availability. We have developed a novel complementary metal-oxide semiconductor (CMOS) chip based, pH-mediated, point-of-care HIV-1 viral load monitoring assay that simultaneously amplifies and detects HIV-1 RNA. A novel low-buffer HIV-1 pH-LAMP (loop-mediated isothermal amplification) assay was optimised and incorporated into a pH sensitive CMOS chip. Screening of 991 clinical samples (164 on the chip) yielded a sensitivity of 95% (in vitro) and 88.8% (on-chip) at >1000 RNA copies/reaction across a broad spectrum of HIV-1 viral clades. Median time to detection was 20.8 minutes in samples with >1000 copies RNA. The sensitivity, specificity and reproducibility are close to that required to produce a point-of-care device which would be of benefit in resource poor regions, and could be performed on an USB stick or similar low power device.
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Affiliation(s)
- R Gurrala
- Division of Infectious Diseases, Imperial College, London, England
| | - Z Lang
- DNA Electronics Ltd, Wood Lane, London, England
| | - L Shepherd
- DNA Electronics Ltd, Wood Lane, London, England
| | - D Davidson
- DNA Electronics Ltd, Wood Lane, London, England
| | - E Harrison
- DNA Electronics Ltd, Wood Lane, London, England
| | - M McClure
- Division of Infectious Diseases, Imperial College, London, England
| | - S Kaye
- Division of Infectious Diseases, Imperial College, London, England
| | - C Toumazou
- DNA Electronics Ltd, Wood Lane, London, England.,Department of Bioengineering, Imperial College, London, England
| | - G S Cooke
- Division of Infectious Diseases, Imperial College, London, England
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22
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Vohra RS, Pasquali S, Kirkham AJ, Marriott P, Johnstone M, Spreadborough P, Alderson D, Griffiths EA, Fenwick S, Elmasry M, Nunes Q, Kennedy D, Basit Khan R, Khan MAS, Magee CJ, Jones SM, Mason D, Parappally CP, Mathur P, Saunders M, Jamel S, Ul Haque S, Zafar S, Shiwani MH, Samuel N, Dar F, Jackson A, Lovett B, Dindyal S, Winter H, Fletcher T, Rahman S, Wheatley K, Nieto T, Ayaani S, Youssef H, Nijjar RS, Watkin H, Naumann D, Emeshi S, Sarmah PB, Lee K, Joji N, Heath J, Teasdale RL, Weerasinghe C, Needham PJ, Welbourn H, Forster L, Finch D, Blazeby JM, Robb W, McNair AGK, Hrycaiczuk A, Charalabopoulos A, Kadirkamanathan S, Tang CB, Jayanthi NVG, Noor N, Dobbins B, Cockbain AJ, Nilsen-Nunn A, Siqueira J, Pellen M, Cowley JB, Ho WM, Miu V, White TJ, Hodgkins KA, Kinghorn A, Tutton MG, Al-Abed YA, Menzies D, Ahmad A, Reed J, Khan S, Monk D, Vitone LJ, Murtaza G, Joel A, Brennan S, Shier D, Zhang C, Yoganathan T, Robinson SJ, McCallum IJD, Jones MJ, Elsayed M, Tuck L, Wayman J, Carney K, Aroori S, Hosie KB, Kimble A, Bunting DM, Fawole AS, Basheer M, Dave RV, Sarveswaran J, Jones E, Kendal C, Tilston MP, Gough M, Wallace T, Singh S, Downing J, Mockford KA, Issa E, Shah N, Chauhan N, Wilson TR, Forouzanfar A, Wild JRL, Nofal E, Bunnell C, Madbak K, Rao STV, Devoto L, Siddiqi N, Khawaja Z, Hewes JC, Gould L, Chambers A, Urriza Rodriguez D, Sen G, Robinson S, Carney K, Bartlett F, Rae DM, Stevenson TEJ, Sarvananthan K, Dwerryhouse SJ, Higgs SM, Old OJ, Hardy TJ, Shah R, Hornby ST, Keogh K, Frank L, Al-Akash M, Upchurch EA, Frame RJ, Hughes M, Jelley C, Weaver S, Roy S, Sillo TO, Galanopoulos G, Cuming T, Cunha P, Tayeh S, Kaptanis S, Heshaishi M, Eisawi A, Abayomi M, Ngu WS, Fleming K, Singh Bajwa D, Chitre V, Aryal K, Ferris P, Silva M, Lammy S, Mohamed S, Khawaja A, Hussain A, Ghazanfar MA, Bellini MI, Ebdewi H, Elshaer M, Gravante G, Drake B, Ogedegbe A, Mukherjee D, Arhi C, Giwa Nusrat Iqbal L, Watson NF, Kumar Aggarwal S, Orchard P, Villatoro E, Willson PD, Wa K, Mok J, Woodman T, Deguara J, Garcea G, Babu BI, Dennison AR, Malde D, Lloyd D, Satheesan S, Al-Taan O, Boddy A, Slavin JP, Jones RP, Ballance L, Gerakopoulos S, Jambulingam P, Mansour S, Sakai N, Acharya V, Sadat MM, Karim L, Larkin D, Amin K, Khan A, Law J, Jamdar S, Smith SR, Sampat K, M O'shea K, Manu M, Asprou FM, Malik NS, Chang J, Johnstone M, Lewis M, Roberts GP, Karavadra B, Photi E, Hewes J, Gould L, Chambers A, Rodriguez D, O'Reilly DA, Rate AJ, Sekhar H, Henderson LT, Starmer BZ, Coe PO, Tolofari S, Barrie J, Bashir G, Sloane J, Madanipour S, Halkias C, Trevatt AEJ, Borowski DW, Hornsby J, Courtney MJ, Virupaksha S, Seymour K, Robinson S, Hawkins H, Bawa S, Gallagher PV, Reid A, Wood P, Finch JG, Parmar J, Stirland E, Gardner-Thorpe J, Al-Muhktar A, Peterson M, Majeed A, Bajwa FM, Martin J, Choy A, Tsang A, Pore N, Andrew DR, Al-Khyatt W, Taylor C, Bhandari S, Chambers A, Subramanium D, Toh SKC, Carter NC, Mercer SJ, Knight B, Tate S, Pearce B, Wainwright D, Vijay V, Alagaratnam S, Sinha S, Khan S, El-Hasani SS, Hussain AA, Bhattacharya V, Kansal N, Fasih T, Jackson C, Siddiqui MN, Chishti IA, Fordham IJ, Siddiqui Z, Bausbacher H, Geogloma I, Gurung K, Tsavellas G, Basynat P, Kiran Shrestha A, Basu S, Chhabra Mohan Harilingam A, Rabie M, Akhtar M, Kumar P, Jafferbhoy SF, Hussain N, Raza S, Haque M, Alam I, Aseem R, Patel S, Asad M, Booth MI, Ball WR, Wood CPJ, Pinho-Gomes AC, Kausar A, Rami Obeidallah M, Varghase J, Lodhia J, Bradley D, Rengifo C, Lindsay D, Gopalswamy S, Finlay I, Wardle S, Bullen N, Iftikhar SY, Awan A, Ahmed J, Leeder P, Fusai G, Bond-Smith G, Psica A, Puri Y, Hou D, Noble F, Szentpali K, Broadhurst J, Date R, Hossack MR, Li Goh Y, Turner P, Shetty V, Riera M, Macano CAW, Sukha A, Preston SR, Hoban JR, Puntis DJ, Williams SV, Krysztopik R, Kynaston J, Batt J, Doe M, Goscimski A, Jones GH, Smith SR, Hall C, Carty N, Ahmed J, Panteleimonitis S, Gunasekera RT, Sheel ARG, Lennon H, Hindley C, Reddy M, Kenny R, Elkheir N, McGlone ER, Rajaganeshan R, Hancorn K, Hargreaves A, Prasad R, Longbotham DA, Vijayanand D, Wijetunga I, Ziprin P, Nicolay CR, Yeldham G, Read E, Gossage JA, Rolph RC, Ebied H, Phull M, Khan MA, Popplewell M, Kyriakidis D, Hussain A, Henley N, Packer JR, Derbyshire L, Porter J, Appleton S, Farouk M, Basra M, Jennings NA, Ali S, Kanakala V, Ali H, Lane R, Dickson-Lowe R, Zarsadias P, Mirza D, Puig S, Al Amari K, Vijayan D, Sutcliffe R, Marudanayagam R, Hamady Z, Prasad AR, Patel A, Durkin D, Kaur P, Bowen L, Byrne JP, Pearson KL, Delisle TG, Davies J, Tomlinson MA, Johnpulle MA, Slawinski C, Macdonald A, Nicholson J, Newton K, Mbuvi J, Farooq A, Sidhartha Mothe B, Zafrani Z, Brett D, Francombe J, Spreadborough P, Barnes J, Cheung M, Al-Bahrani AZ, Preziosi G, Urbonas T, Alberts J, Mallik M, Patel K, Segaran A, Doulias T, Sufi PA, Yao C, Pollock S, Manzelli A, Wajed S, Kourkulos M, Pezzuto R, Wadley M, Hamilton E, Jaunoo S, Padwick R, Sayegh M, Newton RC, Hebbar M, Farag SF, Spearman J, Hamdan MF, D'Costa C, Blane C, Giles M, Peter MB, Hirst NA, Hossain T, Pannu A, El-Dhuwaib Y, Morrison TEM, Taylor GW, Thompson RLE, McCune K, Loughlin P, Lawther R, Byrnes CK, Simpson DJ, Mawhinney A, Warren C, McKay D, McIlmunn C, Martin S, MacArtney M, Diamond T, Davey P, Jones C, Clements JM, Digney R, Chan WM, McCain S, Gull S, Janeczko A, Dorrian E, Harris A, Dawson S, Johnston D, McAree B, Ghareeb E, Thomas G, Connelly M, McKenzie S, Cieplucha K, Spence G, Campbell W, Hooks G, Bradley N, Hill ADK, Cassidy JT, Boland M, Burke P, Nally DM, Hill ADK, Khogali E, Shabo W, Iskandar E, McEntee GP, O'Neill MA, Peirce C, Lyons EM, O'Sullivan AW, Thakkar R, Carroll P, Ivanovski I, Balfe P, Lee M, Winter DC, Kelly ME, Hoti E, Maguire D, Karunakaran P, Geoghegan JG, Martin ST, McDermott F, Cross KS, Cooke F, Zeeshan S, Murphy JO, Mealy K, Mohan HM, Nedujchelyn Y, Fahad Ullah M, Ahmed I, Giovinazzo F, Milburn J, Prince S, Brooke E, Buchan J, Khalil AM, Vaughan EM, Ramage MI, Aldridge RC, Gibson S, Nicholson GA, Vass DG, Grant AJ, Holroyd DJ, Jones MA, Sutton CMLR, O'Dwyer P, Nilsson F, Weber B, Williamson TK, Lalla K, Bryant A, Carter CR, Forrest CR, Hunter DI, Nassar AH, Orizu MN, Knight K, Qandeel H, Suttie S, Belding R, McClarey A, Boyd AT, Guthrie GJK, Lim PJ, Luhmann A, Watson AJM, Richards CH, Nicol L, Madurska M, Harrison E, Boyce KM, Roebuck A, Ferguson G, Pati P, Wilson MSJ, Dalgaty F, Fothergill L, Driscoll PJ, Mozolowski KL, Banwell V, Bennett SP, Rogers PN, Skelly BL, Rutherford CL, Mirza AK, Lazim T, Lim HCC, Duke D, Ahmed T, Beasley WD, Wilkinson MD, Maharaj G, Malcolm C, Brown TH, Shingler GM, Mowbray N, Radwan R, Morcous P, Wood S, Kadhim A, Stewart DJ, Baker AL, Tanner N, Shenoy H, Hafiz S, Marchi JA, Singh-Ranger D, Hisham E, Ainley P, O'Neill S, Terrace J, Napetti S, Hopwood B, Rhys T, Downing J, Kanavati O, Coats M, Aleksandrov D, Kallaway C, Yahya S, Weber B, Templeton A, Trotter M, Lo C, Dhillon A, Heywood N, Aawsaj Y, Hamdan A, Reece-Bolton O, McGuigan A, Shahin Y, Ali A, Luther A, Nicholson JA, Rajendran I, Boal M, Ritchie J. Population-based cohort study of variation in the use of emergency cholecystectomy for benign gallbladder diseases. Br J Surg 2016; 103:1716-1726. [PMID: 27748962 DOI: 10.1002/bjs.10288] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2016] [Revised: 06/21/2016] [Accepted: 07/06/2016] [Indexed: 01/05/2023]
Abstract
Abstract
Background
The aims of this prospective population-based cohort study were to identify the patient and hospital characteristics associated with emergency cholecystectomy, and the influences of these in determining variations between hospitals.
Methods
Data were collected for consecutive patients undergoing cholecystectomy in acute UK and Irish hospitals between 1 March and 1 May 2014. Potential explanatory variables influencing the performance of emergency cholecystectomy were analysed by means of multilevel, multivariable logistic regression modelling using a two-level hierarchical structure with patients (level 1) nested within hospitals (level 2).
Results
Data were collected on 4744 cholecystectomies from 165 hospitals. Increasing age, lower ASA fitness grade, biliary colic, the need for further imaging (magnetic retrograde cholangiopancreatography), endoscopic interventions (endoscopic retrograde cholangiopancreatography) and admission to a non-biliary centre significantly reduced the likelihood of an emergency cholecystectomy being performed. The multilevel model was used to calculate the probability of receiving an emergency cholecystectomy for a woman aged 40 years or over with an ASA grade of I or II and a BMI of at least 25·0 kg/m2, who presented with acute cholecystitis with an ultrasound scan showing a thick-walled gallbladder and a normal common bile duct. The mean predicted probability of receiving an emergency cholecystectomy was 0·52 (95 per cent c.i. 0·45 to 0·57). The predicted probabilities ranged from 0·02 to 0·95 across the 165 hospitals, demonstrating significant variation between hospitals.
Conclusion
Patients with similar characteristics presenting to different hospitals with acute gallbladder pathology do not receive comparable care.
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Affiliation(s)
| | - R S Vohra
- Trent Oesophago-Gastric Unit, Nottingham University Hospitals NHS Trust, Nottingham, UK
| | - S Pasquali
- Surgical Oncology Unit, Veneto Institute of Oncology IOV-IRCCS, Padova, Italy
| | - A J Kirkham
- Cancer Research UK Clinical Trials Unit, University of Birmingham, Birmingham, UK
| | - P Marriott
- West Midlands Research Collaborative, Academic Department of Surgery, University of Birmingham, Birmingham, UK
| | - M Johnstone
- West Midlands Research Collaborative, Academic Department of Surgery, University of Birmingham, Birmingham, UK
| | - P Spreadborough
- West Midlands Research Collaborative, Academic Department of Surgery, University of Birmingham, Birmingham, UK
| | - D Alderson
- Academic Department of Surgery, University of Birmingham, Birmingham, UK
| | - E A Griffiths
- Department of Upper Gastrointestinal Surgery, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
| | - S Fenwick
- Aintree University Hospital NHS Foundation Trust
| | - M Elmasry
- Aintree University Hospital NHS Foundation Trust
| | - Q Nunes
- Aintree University Hospital NHS Foundation Trust
| | - D Kennedy
- Aintree University Hospital NHS Foundation Trust
| | | | | | | | | | - D Mason
- Wirral University Teaching Hospital
| | | | | | | | - S Jamel
- Barnet and Chase Farm Hospital
| | | | - S Zafar
- Barnet and Chase Farm Hospital
| | | | - N Samuel
- Barnsley District General Hospital
| | - F Dar
- Barnsley District General Hospital
| | | | | | | | | | | | | | - K Wheatley
- Sandwell and West Birmingham Hospitals NHS Trust
| | - T Nieto
- Sandwell and West Birmingham Hospitals NHS Trust
| | - S Ayaani
- Sandwell and West Birmingham Hospitals NHS Trust
| | - H Youssef
- Heart of England Foundation NHS Trust
| | | | - H Watkin
- Heart of England Foundation NHS Trust
| | - D Naumann
- Heart of England Foundation NHS Trust
| | - S Emeshi
- Heart of England Foundation NHS Trust
| | | | - K Lee
- Heart of England Foundation NHS Trust
| | - N Joji
- Heart of England Foundation NHS Trust
| | - J Heath
- Blackpool Teaching Hospitals NHS Foundation Trust
| | - R L Teasdale
- Blackpool Teaching Hospitals NHS Foundation Trust
| | | | - P J Needham
- Bradford Teaching Hospitals NHS Foundation Trust
| | - H Welbourn
- Bradford Teaching Hospitals NHS Foundation Trust
| | - L Forster
- Bradford Teaching Hospitals NHS Foundation Trust
| | - D Finch
- Bradford Teaching Hospitals NHS Foundation Trust
| | | | - W Robb
- University Hospitals Bristol NHS Trust
| | | | | | | | | | | | | | | | - B Dobbins
- Calderdale and Huddersfield NHS Trust
| | | | | | | | - M Pellen
- Hull and East Yorkshire NHS Trust
| | | | - W-M Ho
- Hull and East Yorkshire NHS Trust
| | - V Miu
- Hull and East Yorkshire NHS Trust
| | - T J White
- Chesterfield Royal Hospital NHS Foundation Trust
| | - K A Hodgkins
- Chesterfield Royal Hospital NHS Foundation Trust
| | - A Kinghorn
- Chesterfield Royal Hospital NHS Foundation Trust
| | - M G Tutton
- Colchester Hospital University NHS Foundation Trust
| | - Y A Al-Abed
- Colchester Hospital University NHS Foundation Trust
| | - D Menzies
- Colchester Hospital University NHS Foundation Trust
| | - A Ahmad
- Colchester Hospital University NHS Foundation Trust
| | - J Reed
- Colchester Hospital University NHS Foundation Trust
| | - S Khan
- Colchester Hospital University NHS Foundation Trust
| | - D Monk
- Countess of Chester NHS Foundation Trust
| | - L J Vitone
- Countess of Chester NHS Foundation Trust
| | - G Murtaza
- Countess of Chester NHS Foundation Trust
| | - A Joel
- Countess of Chester NHS Foundation Trust
| | | | - D Shier
- Croydon Health Services NHS Trust
| | - C Zhang
- Croydon Health Services NHS Trust
| | | | | | | | - M J Jones
- North Cumbria University Hospitals Trust
| | - M Elsayed
- North Cumbria University Hospitals Trust
| | - L Tuck
- North Cumbria University Hospitals Trust
| | - J Wayman
- North Cumbria University Hospitals Trust
| | - K Carney
- North Cumbria University Hospitals Trust
| | | | | | | | | | | | | | | | | | | | | | - M P Tilston
- Northern Lincolnshire and Goole NHS Foundation Trust
| | - M Gough
- Northern Lincolnshire and Goole NHS Foundation Trust
| | - T Wallace
- Northern Lincolnshire and Goole NHS Foundation Trust
| | - S Singh
- Northern Lincolnshire and Goole NHS Foundation Trust
| | - J Downing
- Northern Lincolnshire and Goole NHS Foundation Trust
| | - K A Mockford
- Northern Lincolnshire and Goole NHS Foundation Trust
| | - E Issa
- Northern Lincolnshire and Goole NHS Foundation Trust
| | - N Shah
- Northern Lincolnshire and Goole NHS Foundation Trust
| | - N Chauhan
- Northern Lincolnshire and Goole NHS Foundation Trust
| | - T R Wilson
- Doncaster and Bassetlaw Hospitals NHS Foundation Trust
| | - A Forouzanfar
- Doncaster and Bassetlaw Hospitals NHS Foundation Trust
| | - J R L Wild
- Doncaster and Bassetlaw Hospitals NHS Foundation Trust
| | - E Nofal
- Doncaster and Bassetlaw Hospitals NHS Foundation Trust
| | - C Bunnell
- Doncaster and Bassetlaw Hospitals NHS Foundation Trust
| | - K Madbak
- Doncaster and Bassetlaw Hospitals NHS Foundation Trust
| | - S T V Rao
- Dorset County Hospital NHS Foundation Trust
| | - L Devoto
- Dorset County Hospital NHS Foundation Trust
| | - N Siddiqi
- Dorset County Hospital NHS Foundation Trust
| | - Z Khawaja
- Dorset County Hospital NHS Foundation Trust
| | | | | | | | | | | | | | | | | | - D M Rae
- Frimley Park Hospital NHS Trust
| | | | | | | | | | - O J Old
- Gloucestershire Hospitals NHS Trust
| | | | - R Shah
- Gloucestershire Hospitals NHS Trust
| | | | - K Keogh
- Gloucestershire Hospitals NHS Trust
| | - L Frank
- Gloucestershire Hospitals NHS Trust
| | - M Al-Akash
- Great Western Hospitals NHS Foundation Trust
| | | | - R J Frame
- Harrogate and District NHS Foundation Trust
| | - M Hughes
- Harrogate and District NHS Foundation Trust
| | - C Jelley
- Harrogate and District NHS Foundation Trust
| | | | | | | | | | - T Cuming
- Homerton University Hospital NHS Trust
| | - P Cunha
- Homerton University Hospital NHS Trust
| | - S Tayeh
- Homerton University Hospital NHS Trust
| | | | | | - A Eisawi
- Tees Hospitals NHS Foundation Trust
| | | | - W S Ngu
- Tees Hospitals NHS Foundation Trust
| | | | | | - V Chitre
- Paget University Hospitals NHS Foundation Trust
| | - K Aryal
- Paget University Hospitals NHS Foundation Trust
| | - P Ferris
- Paget University Hospitals NHS Foundation Trust
| | | | | | | | | | | | | | | | - H Ebdewi
- Kettering General Hospital NHS Foundation Trust
| | - M Elshaer
- Kettering General Hospital NHS Foundation Trust
| | - G Gravante
- Kettering General Hospital NHS Foundation Trust
| | - B Drake
- Kettering General Hospital NHS Foundation Trust
| | - A Ogedegbe
- Barking, Havering and Redbridge University Hospitals NHS Trust
| | - D Mukherjee
- Barking, Havering and Redbridge University Hospitals NHS Trust
| | - C Arhi
- Barking, Havering and Redbridge University Hospitals NHS Trust
| | | | | | | | | | | | | | - K Wa
- Kingston Hospital NHS Foundation Trust
| | - J Mok
- Kingston Hospital NHS Foundation Trust
| | - T Woodman
- Kingston Hospital NHS Foundation Trust
| | - J Deguara
- Kingston Hospital NHS Foundation Trust
| | - G Garcea
- University Hospitals of Leicester NHS Trust
| | - B I Babu
- University Hospitals of Leicester NHS Trust
| | | | - D Malde
- University Hospitals of Leicester NHS Trust
| | - D Lloyd
- University Hospitals of Leicester NHS Trust
| | | | - O Al-Taan
- University Hospitals of Leicester NHS Trust
| | - A Boddy
- University Hospitals of Leicester NHS Trust
| | - J P Slavin
- Leighton Hospital, Mid Cheshire Hospitals NHS Foundation Trust
| | - R P Jones
- Leighton Hospital, Mid Cheshire Hospitals NHS Foundation Trust
| | - L Ballance
- Leighton Hospital, Mid Cheshire Hospitals NHS Foundation Trust
| | - S Gerakopoulos
- Leighton Hospital, Mid Cheshire Hospitals NHS Foundation Trust
| | - P Jambulingam
- Luton and Dunstable University Hospital NHS Foundation Trust
| | - S Mansour
- Luton and Dunstable University Hospital NHS Foundation Trust
| | - N Sakai
- Luton and Dunstable University Hospital NHS Foundation Trust
| | - V Acharya
- Luton and Dunstable University Hospital NHS Foundation Trust
| | - M M Sadat
- Macclesfield District General Hospital
| | - L Karim
- Macclesfield District General Hospital
| | - D Larkin
- Macclesfield District General Hospital
| | - K Amin
- Macclesfield District General Hospital
| | - A Khan
- Central Manchester NHS Foundation Trust
| | - J Law
- Central Manchester NHS Foundation Trust
| | - S Jamdar
- Central Manchester NHS Foundation Trust
| | - S R Smith
- Central Manchester NHS Foundation Trust
| | - K Sampat
- Central Manchester NHS Foundation Trust
| | | | - M Manu
- Royal Wolverhampton Hospitals NHS Trust
| | | | - N S Malik
- Royal Wolverhampton Hospitals NHS Trust
| | - J Chang
- Royal Wolverhampton Hospitals NHS Trust
| | | | - M Lewis
- Norfolk and Norwich University Hospitals NHS Foundation Trust
| | - G P Roberts
- Norfolk and Norwich University Hospitals NHS Foundation Trust
| | - B Karavadra
- Norfolk and Norwich University Hospitals NHS Foundation Trust
| | - E Photi
- Norfolk and Norwich University Hospitals NHS Foundation Trust
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - J Hornsby
- North Tees and Hartlepool NHS Foundation Trust
| | | | | | - K Seymour
- Northumbria Healthcare NHS Foundation Trust
| | - S Robinson
- Northumbria Healthcare NHS Foundation Trust
| | - H Hawkins
- Northumbria Healthcare NHS Foundation Trust
| | - S Bawa
- Northumbria Healthcare NHS Foundation Trust
| | | | - A Reid
- Northumbria Healthcare NHS Foundation Trust
| | - P Wood
- Northumbria Healthcare NHS Foundation Trust
| | - J G Finch
- Northampton General Hospital NHS Trust
| | - J Parmar
- Northampton General Hospital NHS Trust
| | | | | | - A Al-Muhktar
- Sheffield Teaching Hospitals NHS Foundation Trust
| | - M Peterson
- Sheffield Teaching Hospitals NHS Foundation Trust
| | - A Majeed
- Sheffield Teaching Hospitals NHS Foundation Trust
| | | | | | - A Choy
- Peterborough City Hospital
| | | | - N Pore
- United Lincolnshire Hospitals NHS Trust
| | | | | | - C Taylor
- United Lincolnshire Hospitals NHS Trust
| | | | | | | | | | | | | | | | - S Tate
- Portsmouth Hospitals NHS Trust
| | | | | | - V Vijay
- The Princess Alexandra Hospital NHS Trust
| | | | - S Sinha
- The Princess Alexandra Hospital NHS Trust
| | - S Khan
- The Princess Alexandra Hospital NHS Trust
| | | | - A A Hussain
- King's College Hospital NHS Foundation Trust
| | | | - N Kansal
- Gateshead Health NHS Foundation Trust
| | - T Fasih
- Gateshead Health NHS Foundation Trust
| | - C Jackson
- Gateshead Health NHS Foundation Trust
| | | | | | | | | | | | | | - K Gurung
- Queen Elizabeth Hospital NHS Trust
| | - G Tsavellas
- East Kent Hospitals University NHS Foundation Trust
| | - P Basynat
- East Kent Hospitals University NHS Foundation Trust
| | | | - S Basu
- East Kent Hospitals University NHS Foundation Trust
| | | | - M Rabie
- East Kent Hospitals University NHS Foundation Trust
| | - M Akhtar
- East Kent Hospitals University NHS Foundation Trust
| | - P Kumar
- Burton Hospitals NHS Foundation Trust
| | | | - N Hussain
- Burton Hospitals NHS Foundation Trust
| | - S Raza
- Burton Hospitals NHS Foundation Trust
| | - M Haque
- Royal Albert Edward Infirmary, Wigan Wrightington and Leigh NHS Trust
| | - I Alam
- Royal Albert Edward Infirmary, Wigan Wrightington and Leigh NHS Trust
| | - R Aseem
- Royal Albert Edward Infirmary, Wigan Wrightington and Leigh NHS Trust
| | - S Patel
- Royal Albert Edward Infirmary, Wigan Wrightington and Leigh NHS Trust
| | - M Asad
- Royal Albert Edward Infirmary, Wigan Wrightington and Leigh NHS Trust
| | - M I Booth
- Royal Berkshire NHS Foundation Trust
| | - W R Ball
- Royal Berkshire NHS Foundation Trust
| | | | | | | | | | - J Varghase
- Royal Bolton Hospital NHS Foundation Trust
| | - J Lodhia
- Royal Bolton Hospital NHS Foundation Trust
| | - D Bradley
- Royal Bolton Hospital NHS Foundation Trust
| | - C Rengifo
- Royal Bolton Hospital NHS Foundation Trust
| | - D Lindsay
- Royal Bolton Hospital NHS Foundation Trust
| | | | | | | | | | | | - A Awan
- Royal Derby NHS Foundation Trust
| | - J Ahmed
- Royal Derby NHS Foundation Trust
| | - P Leeder
- Royal Derby NHS Foundation Trust
| | | | | | | | | | - D Hou
- Hampshire Hospital NHS Foundation Trust
| | - F Noble
- Hampshire Hospital NHS Foundation Trust
| | | | | | - R Date
- Lancashire Teaching Hospitals NHS Foundation Trust
| | - M R Hossack
- Lancashire Teaching Hospitals NHS Foundation Trust
| | - Y Li Goh
- Lancashire Teaching Hospitals NHS Foundation Trust
| | - P Turner
- Lancashire Teaching Hospitals NHS Foundation Trust
| | - V Shetty
- Lancashire Teaching Hospitals NHS Foundation Trust
| | | | | | | | - S R Preston
- Royal Surrey County Hospital NHS Foundation Trust
| | - J R Hoban
- Royal Surrey County Hospital NHS Foundation Trust
| | - D J Puntis
- Royal Surrey County Hospital NHS Foundation Trust
| | - S V Williams
- Royal Surrey County Hospital NHS Foundation Trust
| | | | | | - J Batt
- Royal United Hospital Bath NHS Trust
| | - M Doe
- Royal United Hospital Bath NHS Trust
| | | | | | | | - C Hall
- Salford Royal NHS Foundation Trust
| | - N Carty
- Salisbury Hospital Foundation Trust
| | - J Ahmed
- Salisbury Hospital Foundation Trust
| | | | | | | | - H Lennon
- Southport and Ormskirk Hospital NHS Trust
| | - C Hindley
- Southport and Ormskirk Hospital NHS Trust
| | - M Reddy
- St George's Healthcare NHS Trust
| | - R Kenny
- St George's Healthcare NHS Trust
| | | | | | | | - K Hancorn
- St Helens and Knowsley Teaching Hospitals NHS Trust
| | - A Hargreaves
- St Helens and Knowsley Teaching Hospitals NHS Trust
| | | | | | | | | | - P Ziprin
- Imperial College Healthcare NHS Trust
| | | | - G Yeldham
- Imperial College Healthcare NHS Trust
| | - E Read
- Imperial College Healthcare NHS Trust
| | | | | | | | | | - M A Khan
- Mid Staffordshire NHS Foundation Trust
| | | | | | - A Hussain
- Mid Staffordshire NHS Foundation Trust
| | | | | | | | | | | | | | | | | | - S Ali
- City Hospitals Sunderland NHS Foundation Trust
| | - V Kanakala
- City Hospitals Sunderland NHS Foundation Trust
| | - H Ali
- Tunbridge Wells and Maidstone NHS Trust
| | - R Lane
- Tunbridge Wells and Maidstone NHS Trust
| | | | | | - D Mirza
- University Hospital Birmingham NHS Foundation Trust
| | - S Puig
- University Hospital Birmingham NHS Foundation Trust
| | - K Al Amari
- University Hospital Birmingham NHS Foundation Trust
| | - D Vijayan
- University Hospital Birmingham NHS Foundation Trust
| | - R Sutcliffe
- University Hospital Birmingham NHS Foundation Trust
| | | | - Z Hamady
- University Hospital Coventry and Warwickshire NHS Trust
| | - A R Prasad
- University Hospital Coventry and Warwickshire NHS Trust
| | - A Patel
- University Hospital Coventry and Warwickshire NHS Trust
| | - D Durkin
- University Hospital of North Staffordshire NHS Trust
| | - P Kaur
- University Hospital of North Staffordshire NHS Trust
| | - L Bowen
- University Hospital of North Staffordshire NHS Trust
| | - J P Byrne
- University Hospital Southampton NHS Foundation Trust
| | - K L Pearson
- University Hospital Southampton NHS Foundation Trust
| | - T G Delisle
- University Hospital Southampton NHS Foundation Trust
| | - J Davies
- University Hospital Southampton NHS Foundation Trust
| | | | | | | | - A Macdonald
- University Hospital South Manchester NHS Foundation Trust
| | - J Nicholson
- University Hospital South Manchester NHS Foundation Trust
| | - K Newton
- University Hospital South Manchester NHS Foundation Trust
| | - J Mbuvi
- University Hospital South Manchester NHS Foundation Trust
| | - A Farooq
- Warrington and Halton Hospitals NHS Trust
| | | | - Z Zafrani
- Warrington and Halton Hospitals NHS Trust
| | - D Brett
- Warrington and Halton Hospitals NHS Trust
| | | | | | - J Barnes
- South Warwickshire NHS Foundation Trust
| | - M Cheung
- South Warwickshire NHS Foundation Trust
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - M Wadley
- Worcestershire Acute Hospitals NHS Trust
| | - E Hamilton
- Worcestershire Acute Hospitals NHS Trust
| | - S Jaunoo
- Worcestershire Acute Hospitals NHS Trust
| | - R Padwick
- Worcestershire Acute Hospitals NHS Trust
| | - M Sayegh
- Western Sussex Hospitals NHS Foundation Trust
| | - R C Newton
- Western Sussex Hospitals NHS Foundation Trust
| | - M Hebbar
- Western Sussex Hospitals NHS Foundation Trust
| | - S F Farag
- Western Sussex Hospitals NHS Foundation Trust
| | | | | | | | - C Blane
- Yeovil District Hospital NHS Trust
| | - M Giles
- York Teaching Hospital NHS Foundation Trust
| | - M B Peter
- York Teaching Hospital NHS Foundation Trust
| | - N A Hirst
- York Teaching Hospital NHS Foundation Trust
| | - T Hossain
- York Teaching Hospital NHS Foundation Trust
| | - A Pannu
- York Teaching Hospital NHS Foundation Trust
| | | | | | - G W Taylor
- York Teaching Hospital NHS Foundation Trust
| | | | | | | | | | | | | | | | | | | | | | | | | | - T Diamond
- Belfast City Hospital, Mater Infirmorum Hospital Belfast and Royal Victoria Hospital
| | - P Davey
- Belfast City Hospital, Mater Infirmorum Hospital Belfast and Royal Victoria Hospital
| | - C Jones
- Belfast City Hospital, Mater Infirmorum Hospital Belfast and Royal Victoria Hospital
| | - J M Clements
- Belfast City Hospital, Mater Infirmorum Hospital Belfast and Royal Victoria Hospital
| | - R Digney
- Belfast City Hospital, Mater Infirmorum Hospital Belfast and Royal Victoria Hospital
| | - W M Chan
- Belfast City Hospital, Mater Infirmorum Hospital Belfast and Royal Victoria Hospital
| | - S McCain
- Belfast City Hospital, Mater Infirmorum Hospital Belfast and Royal Victoria Hospital
| | - S Gull
- Belfast City Hospital, Mater Infirmorum Hospital Belfast and Royal Victoria Hospital
| | - A Janeczko
- Belfast City Hospital, Mater Infirmorum Hospital Belfast and Royal Victoria Hospital
| | - E Dorrian
- Belfast City Hospital, Mater Infirmorum Hospital Belfast and Royal Victoria Hospital
| | - A Harris
- Belfast City Hospital, Mater Infirmorum Hospital Belfast and Royal Victoria Hospital
| | - S Dawson
- Belfast City Hospital, Mater Infirmorum Hospital Belfast and Royal Victoria Hospital
| | - D Johnston
- Belfast City Hospital, Mater Infirmorum Hospital Belfast and Royal Victoria Hospital
| | - B McAree
- Belfast City Hospital, Mater Infirmorum Hospital Belfast and Royal Victoria Hospital
| | | | | | | | | | | | | | | | | | | | | | | | | | - P Burke
- University Hospital Limerick
| | | | - A D K Hill
- Louth County Hospital and Our Lady of Lourdes Hospital
| | - E Khogali
- Louth County Hospital and Our Lady of Lourdes Hospital
| | - W Shabo
- Louth County Hospital and Our Lady of Lourdes Hospital
| | - E Iskandar
- Louth County Hospital and Our Lady of Lourdes Hospital
| | | | | | | | | | | | | | | | | | - P Balfe
- St Luke's General Hospital Kilkenny
| | - M Lee
- St Luke's General Hospital Kilkenny
| | - D C Winter
- St Vincent's University and Private Hospitals, Dublin
| | - M E Kelly
- St Vincent's University and Private Hospitals, Dublin
| | - E Hoti
- St Vincent's University and Private Hospitals, Dublin
| | - D Maguire
- St Vincent's University and Private Hospitals, Dublin
| | - P Karunakaran
- St Vincent's University and Private Hospitals, Dublin
| | - J G Geoghegan
- St Vincent's University and Private Hospitals, Dublin
| | - S T Martin
- St Vincent's University and Private Hospitals, Dublin
| | - F McDermott
- St Vincent's University and Private Hospitals, Dublin
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - S Gibson
- Crosshouse Hospital, Ayrshire and Arran
| | | | - D G Vass
- Crosshouse Hospital, Ayrshire and Arran
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - H C C Lim
- Glangwili General and Prince Philip Hospital
| | - D Duke
- Glangwili General and Prince Philip Hospital
| | - T Ahmed
- Glangwili General and Prince Philip Hospital
| | - W D Beasley
- Glangwili General and Prince Philip Hospital
| | | | - G Maharaj
- Glangwili General and Prince Philip Hospital
| | - C Malcolm
- Glangwili General and Prince Philip Hospital
| | | | | | | | - R Radwan
- Morriston and Singleton Hospitals
| | | | - S Wood
- Princess of Wales Hospital
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Fleming J, Kamal A, Harrison E, Hamborg T, Stewart-Brown S, Thorogood M, Griffiths F, Robertson W. Evaluation of recruitment methods for a trial targeting childhood obesity: Families for Health randomised controlled trial. Trials 2015; 16:535. [PMID: 26607762 PMCID: PMC4660776 DOI: 10.1186/s13063-015-1062-x] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2015] [Accepted: 11/16/2015] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Recruitment to trials evaluating the effectiveness of childhood obesity management interventions is challenging. We report our experience of recruitment to the Families for Health study, a randomised controlled trial evaluating the effectiveness of a family-based community programme for children aged 6-11 years, versus usual care. We evaluated the effectiveness of active recruitment (contacting eligible families directly) versus passive recruitment (informing the community through flyers, public events, media). METHODS Initial approaches included passive recruitment via the media (newspapers and radio) and two active recruitment methods: National Child Measurement Programme (letters to families with overweight children) and referrals from health-care professionals. With slow initial recruitment, further strategies were employed, including active (e.g. targeted letters from general practices) and passive (e.g. flyers, posters and public events) methods. At first enquiry from a potential participant, families were asked where they heard about the study. Further quantitative (questionnaire) and qualitative data (one-to-one interviews with parents/carers), were collected from recruited families at baseline and 3-month follow-up and included questions about recruitment. RESULTS In total, 194 families enquired about Families for Health, and 115 (59.3 %) were recruited and randomised. Active recruitment yielded 85 enquiries, with 43 families recruited (50.6 %); passive recruitment yielded 99 enquiries with 72 families recruited (72.7 %). Information seen at schools or GP surgeries accounted for over a quarter of enquiries (28.4 %) and over a third (37.4 %) of final recruitment. Eight out of ten families who enquired this way were recruited. Media-led enquiries were low (5 %), but all were recruited. Children of families recruited actively were more likely to be Asian or mixed race. Despite extensive recruitment methods, the trial did not recruit as planned, and was awarded a no-cost extension to complete the 12-month follow-up. CONCLUSIONS The higher number of participants recruited through passive methods may be due to the large number of potential participants these methods reached and because participants may see the information more than once. Recruiting to a child obesity treatment study is complex and it is advisable to use multiple recruitment strategies, some aiming at blanket coverage and some targeted at families with children who are overweight. TRIAL REGISTRATION Current Controlled Trials ISRCTN45032201 (Date: 18 August 2011).
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Affiliation(s)
- J Fleming
- Warwick Medical School, University of Warwick, Coventry, CV4 7AL, UK.
| | - A Kamal
- Warwick Medical School, University of Warwick, Coventry, CV4 7AL, UK.
| | - E Harrison
- Warwick Medical School, University of Warwick, Coventry, CV4 7AL, UK.
| | - T Hamborg
- Warwick Medical School, University of Warwick, Coventry, CV4 7AL, UK.
| | - S Stewart-Brown
- Warwick Medical School, University of Warwick, Coventry, CV4 7AL, UK.
| | - M Thorogood
- Warwick Medical School, University of Warwick, Coventry, CV4 7AL, UK.
| | - F Griffiths
- Warwick Medical School, University of Warwick, Coventry, CV4 7AL, UK.
| | - W Robertson
- Warwick Medical School, University of Warwick, Coventry, CV4 7AL, UK.
- Division of Health Sciences, Warwick Medical School, University of Warwick, Coventry, CV4 7AL, UK.
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Robertson N, Scott E, Vaughan-Shaw P, Forsythe R, Creamer F, Simons M, Harrison E. Integration of simulated surgical skills sessions into the undergraduate curriculum. Int J Surg 2015. [DOI: 10.1016/j.ijsu.2015.07.464] [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: 10/22/2022]
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25
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Harrison E, Herrick AL, McLaughlin J, Lal S. 22 years experience managing patients with systemic sclerosis on home parenteral nutrition. Clin Nutr ESPEN 2015; 10:e178. [PMID: 28531474 DOI: 10.1016/j.clnesp.2015.03.005] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Affiliation(s)
- E Harrison
- Institute of Inflammation and Repair, FMHS, University of Manchester, Manchester, M13 9PL, UK
| | - A L Herrick
- Institute of Inflammation and Repair, FMHS, University of Manchester, Manchester, M13 9PL, UK
| | - J McLaughlin
- Institute of Inflammation and Repair, FMHS, University of Manchester, Manchester, M13 9PL, UK
| | - S Lal
- Intestinal Failure Unit, Salford Royal NHS Foundation Trust, Stott Lane, Salford, M6 8HD, UK; Institute of Inflammation and Repair, FMHS, University of Manchester, Manchester, M13 9PL, UK
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26
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Bishop V, Harrison E, Lal S, Herrick AL. Evidence for a clinical association between body mass index and malabsorption in patients with systemic sclerosis. Scand J Rheumatol 2015; 44:341-3. [PMID: 25928230 DOI: 10.3109/03009742.2015.1026272] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Affiliation(s)
- V Bishop
- Institute of Inflammation and Repair, Salford Royal NHS Foundation Trust, The University of Manchester, Manchester Academic Health Science Centre , Salford , UK
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27
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Kirby J, Kamal A, Harrison E, Lang R, Stewart-Brown S, Thorogood M, Griffiths F, Robertson W. Recruiting families to a childhood obesity management trial. Active vs passive methods. Appetite 2015. [DOI: 10.1016/j.appet.2014.12.136] [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: 10/24/2022]
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28
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Chapman S, Shelton B, Mahmood H, Fitzgerald J, Harrison E, Bhangu A. Promoting transparency in clinical research: Systematic review of disclosure and data-sharing policies in surgical journals. Int J Surg 2014. [DOI: 10.1016/j.ijsu.2014.07.238] [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: 10/24/2022]
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Hoyle S, Ainsworth S, Bonavita AM, Read J, Murdoch A, Woolford L, Harrison E, Miele G, Booth C. Abstract 3737: Use of intestinal organoids as a preclinical screen for agents modulating epithelial regeneration and gastrointestinal toxicity. Cancer Res 2014. [DOI: 10.1158/1538-7445.am2014-3737] [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: 11/16/2022]
Abstract
Abstract
The mouse small intestinal in vitro organoid model was first described by Sato et al in 2009. We have further developed this model as a robust screening tool to aid the selection of lead candidates that may have efficacy preventing or treating GI toxicity, and to allow early identification of candidate toxicity. More specifically, we have been assessing the model's potential to progress the development of novel therapeutic agents to treat the GI mucositis, a common toxicity associated with cancer therapy.
The intestinal organoid culture conditions were designed to mimic the stem cell niche allowing cell differentiation and proliferation to occur. Indeed all intestinal lineages are present in the organoids and the epithelial hierarchy closely resembles that observed in vivo. Alteration of these organoid culture conditions allows identification of proliferative or cytotoxic effects, changes in differentiation and gene expression profiling of target pathways.
Sub-optimal culture conditions reduce the background level of branching within an organoid population, allowing the quantification of proliferative effects through an increase in branching above the background upon agent exposure. Examples of agents inducing branching of organoids include Wnt pathway modulators. Optimal culture conditions allow assessment of toxicity caused by agents such as chemotherapy drugs. Organoid viability can be assessed either visually or with MTS techniques. In addition, differentiation by agents such as the Notch pathway inhibitor DAPT can be assessed by histological examination of the organoids. All of these cultures can undergo gene expression profiling forming links to the observed biological observations. Proof of concept gene expression data has been generated using known GI growth factors and modulators, which have been linked to in vivo gene expression profiling to demonstrate PD linkages.
In addition, we have developed a model using APCMin+/- mice, which develop a phenotype in culture more consistent with a deregulated adenoma. Parallel assessment of agents on this model and the organoids has been useful for discriminating normal vs tumour responses, identifying agents with differential activities.
Our intestinal organoid models allow screening of multiple agents, with over 5000 screened to date including Wnt pathway regulators, cytokines, growth factor, chemotherapy drugs, steroids and lectins.
Citation Format: Sarah Hoyle, Shaun Ainsworth, Aude-Marine Bonavita, Jo Read, Alan Murdoch, Lorna Woolford, Elliott Harrison, Gino Miele, Cath Booth. Use of intestinal organoids as a preclinical screen for agents modulating epithelial regeneration and gastrointestinal toxicity. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 3737. doi:10.1158/1538-7445.AM2014-3737
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Affiliation(s)
| | | | | | - Jo Read
- Epistem Ltd, Manchester, United Kingdom
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30
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Hulin M, Harrison E, Stratford M, Wheals AE. Rapid identification of the genus Dekkera/Brettanomyces, the Dekkera subgroup and all individual species. Int J Food Microbiol 2014; 187:7-14. [PMID: 25025214 DOI: 10.1016/j.ijfoodmicro.2014.06.028] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2014] [Revised: 06/26/2014] [Accepted: 06/29/2014] [Indexed: 11/29/2022]
Abstract
The genus Dekkera/Brettanomyces comprises five described species: Dekkera bruxellensis, D. anomala, Brettanomyces custersianus, B. naardenensis and B. nanus. Some of them, especially D. bruxellensis, are important spoilage organisms, particularly in the wine and beverage industries. Because of their economic importance many different methods have been developed to identify members of the genus in general and D. bruxellensis in particular. These methods vary in their rapidity, complexity and cost but, partly because of confidentiality issues, it is unclear which methods are used, or how widely, in the relevant industries. Building on previous work with the genera Saccharomyces and Zygosaccharomyces, a suite of eight PCR primer pairs has been designed either on the D1-D2 region of the 26S rRNA gene or translation elongation factor TEF1-α. These primers can specifically identify the genus as a whole, only Dekkera species, each one of the five recognised species as well as a significant subgroup of D. bruxellensis represented by NCYC 3426. Multiplexing has also been tried and it has been shown to be possible with some combinations of genus or Dekkera-level and species-specific primers. Using direct colony PCR amplification followed by gel electrophoresis, a clear positive result can be obtained in less than 3h, thus providing a quick, reliable and inexpensive way to identify target species.
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Affiliation(s)
- M Hulin
- Department of Biology and Biochemistry, University of Bath, Bath BA2 7AY, UK.
| | - E Harrison
- Department of Biology and Biochemistry, University of Bath, Bath BA2 7AY, UK.
| | - M Stratford
- School of Life Sciences, University of Nottingham, University Park, Nottingham NG7 2RD, UK.
| | - A E Wheals
- Department of Biology and Biochemistry, University of Bath, Bath BA2 7AY, UK.
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Harrison E, MacLean RC, Koufopanou V, Burt A. Sex drives intracellular conflict in yeast. J Evol Biol 2014; 27:1757-63. [PMID: 24825743 DOI: 10.1111/jeb.12408] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2013] [Accepted: 04/11/2014] [Indexed: 11/29/2022]
Abstract
Theory predicts that sex can drive the evolution of conflict within the cell. During asexual reproduction, genetic material within the cell is inherited as a single unit, selecting for cooperation both within the genome as well as between the extra-genomic elements within the cell (e.g. plasmids and endosymbionts). Under sexual reproduction, this unity is broken down as parental genomes are distributed between meiotic progeny. Genetic elements able to transmit to more than 50% of meiotic progeny have a transmission advantage over the rest of the genome and are able to spread, even where they reduce the fitness of the individual as a whole. Sexual reproduction is therefore expected to drive the evolution of selfish genetic elements (SGEs). Here, we directly test this hypothesis by studying the evolution of two independent SGEs, the 2-μm plasmid and selfish mitochondria, in populations of Saccharomyces cerevisiae. Following 22 rounds of sexual reproduction, 2-μm copy number increased by approximately 13.2 (±5.6) copies per cell, whereas in asexual populations copy number decreased by approximately 5.1 (±1.5) copies per cell. Given that the burden imposed by this parasite increases with copy number, these results support the idea that sex drives the evolution of increased SGE virulence. Moreover, we found that mitochondria that are respiratory-deficient rapidly invaded sexual but not asexual populations, demonstrating that frequent outcrossed sex can drive the de novo evolution of genetic parasites. Our study highlights the genomic perils of sex and suggests that SGEs may play a key role in driving major evolutionary transitions, such as uniparental inheritance.
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Affiliation(s)
- E Harrison
- NERC Center for Population Biology, Imperial College London, Ascot, UK
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Abstract
Biopsies from the second part of the duodenum are routinely performed in patients with unintentional weight loss. When villous atrophy and an increased intraepithelial lymphocytosis are detected, the commonest cause of it is coeliac disease. Severe villous atrophy with increased intraepithelial lymphocytosis (Marsh IIIc) is highly specific for coeliac disease. However, coeliac disease with this presentation is very rare. Milder abnormalities such as Marsh I-II (microscopic enteritis) and Marsh IIIa are not specific for coeliac disease and could occur in other conditions like those listed in the discussion. We present the case of a 74-year-old woman who, after being diagnosed with seronegative coeliac disease, failed to improve on a gluten-free diet. We discuss the differential diagnosis of coeliac disease and the possible alternative causes for villous blunting, paying particular attention to the diagnosis of small intestinal bacterial overgrowth.
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Affiliation(s)
- E Harrison
- Faculty of Medical and Human Sciences, University of Manchester, Manchester, UK
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Mcculloch A, Muthlagappan S, Harrison E, Mannath J, Nwokolo C, Arasaradnam R. PTU-016 Entonox vs Sedation in Colonoscopy: a Prospective Cohort Study: Abstract PTU-016 Table. Gut 2013. [DOI: 10.1136/gutjnl-2013-304907.109] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/16/2023]
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Howard SJ, Pasqualotto AC, Anderson MJ, Leatherbarrow H, Albarrag AM, Harrison E, Gregson L, Bowyer P, Denning DW. Major variations inAspergillus fumigatusarising within aspergillomas in chronic pulmonary aspergillosis. Mycoses 2013; 56:434-41. [DOI: 10.1111/myc.12047] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Harrison E, Koufopanou V, Burt A, MacLean RC. The cost of copy number in a selfish genetic element: the 2-μmplasmid ofSaccharomyces cerevisiae. J Evol Biol 2012; 25:2348-56. [DOI: 10.1111/j.1420-9101.2012.02610.x] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2012] [Revised: 07/02/2012] [Accepted: 08/07/2012] [Indexed: 12/24/2022]
Affiliation(s)
- E. Harrison
- NERC Center for Population Biology; Imperial College London; Silwood Park Campus; Ascot; UK
| | - V. Koufopanou
- Division of Ecology and Evolution; Imperial College London; Silwood Park Campus; Ascot; UK
| | - A. Burt
- Division of Ecology and Evolution; Imperial College London; Silwood Park Campus; Ascot; UK
| | - R. C. MacLean
- Department of Zoology; University of Oxford; Oxford; UK
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Narasimhan S, Wilcox L, Solski A, Harrison E, Giaschi D. Fine and coarse stereopsis follow different developmental trajectories in children. J Vis 2012. [DOI: 10.1167/12.9.219] [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: 11/24/2022] Open
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Reed BJ, Forslund A, Casneuf T, Miele G, Grimes E, Mefo T, Harrison E, Meyer-Turkson L, Brady G, McClue S, Winkler H. Abstract 1867: Gene expression profiles obtained from ex vivo human scalp hair to determine the effects of drug response following exposure to HDAC inhibitors. Cancer Res 2012. [DOI: 10.1158/1538-7445.am2012-1867] [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: 11/16/2022]
Abstract
Abstract
Background Plucked human scalp hair represents an ideal surrogate tissue to enable non-invasive monitoring of drug response in clinical trials. Congruence of patterns of transcriptome activity within the bulb region of plucked scalp hair show high concordance and to that of primary target tumour tissues. The ex vivo plucked scalp hair culture technique involves exposing healthy normal volunteer hair to different concentrations of a number of HDAC inhibitors and ascertain the effects that they have on gene expression. This technique is an ideal approach to identifying desirable non-invasive transcriptional biomarkers to demonstrate target engagement and define a PK/PD relationship, as well as enabling the monitoring of a well tolerated dose schedule with maximal biological effect. Materials and Methods In this study, we deployed our proprietary ex vivo culture technique to ascertain the effects that three different HDAC inhibitors had on gene expression in plucked hair. Three different concentrations of each HDAC inhibitor were incubated in culture for a period of 18 hours. RNA was extracted from the hair bulb following the culture technique and gene expression was assessed following microarray analysis. Statistically significant biomarkers (p<0.05) were identified along with genes with a greater than 2 fold change from the vehicle group. Direct comparisons in the profiles obtained following exposure to the three different HDAC inhibitors were conducted to evaluate differences in the mechanism of action of each compound. Results We were able to demonstrate from the ex vivo plucked hair study, a panel of transcriptional markers that exhibited a similar response to drug treatment following exposure to the three different HDAC inhibitors. The differentially expressed genes identified were biologically relevant as they are consistent with pathways that are known to be associated with HDAC inhibition. The results also demonstrated the potency of each of the HDAC inhibitors and provided an insight into the different mechanisms of action of each compound. The differentially expressed biomarkers identified in this study may be used in clinical settings to monitor pharmacodynamic responses in plucked scalp hair obtained from patients. Conclusions We conclude that plucked human scalp hair represents an ideal minimally invasive surrogate tissue to monitor drug response in patients receiving treatment with HDAC inhibitors.
Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 103rd Annual Meeting of the American Association for Cancer Research; 2012 Mar 31-Apr 4; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2012;72(8 Suppl):Abstract nr 1867. doi:1538-7445.AM2012-1867
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Affiliation(s)
| | | | | | - Gino Miele
- 1Epistem Ltd, Manchester, United Kingdom
| | | | - Tim Mefo
- 1Epistem Ltd, Manchester, United Kingdom
| | | | | | - Ged Brady
- 1Epistem Ltd, Manchester, United Kingdom
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Harrison E, Singh A, Morris J, Smith NL, Fraczek MG, Moore CB, Denning DW. Mannose-binding lectin genotype and serum levels in patients with chronic and allergic pulmonary aspergillosis. Int J Immunogenet 2012; 39:224-32. [PMID: 22225939 DOI: 10.1111/j.1744-313x.2011.01078.x] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
Several studies suggest mannose-binding lectin (MBL) deficiency is associated with various manifestations of aspergillosis. MBL serum levels and function are genetically determined, but levels rise during inflammation. We address the relative frequency of deficient genotypes, the relationship between serum level and genotype and both age and disease manifestations in patients with chronic pulmonary (CPA) and allergic bronchopulmonary aspergillosis (ABPA) and severe asthma with fungal sensitization (SAFS). DNA was extracted from blood samples, and MBL2 genotyping was performed using the INNO-LiPA MBL2 kit. Serum MBL concentrations were determined using ELISA. One hundred and eight patients were evaluated, 70 (65%) with CPA, 38 (35%) with allergic disease (ABPA, SAFS or undefined) and 13 (12%) had both CPA and ABPA. The mean MBL serum level was 1849 μg L(-1) and did not differ between groups. Forty subjects (37%) had exon 1 genotypes producing nonfunctional MBL (A/B, A/C, A/D and O/O), a frequency not different from published normal controls. A/A subjects with CPA had higher levels (2981 μg L(-1)) compared with allergic A/A subjects (2202 μg L(-1)) (pc0.012). No single haplotype, genotype or allele was significantly related to any aspergillosis phenotype. Worse breathlessness was associated with higher MBL levels among A/A subjects (P = 0.009) and conversely nonfunctional genotypes. Mean MBL values were higher in those with an Medical Research Council (MRC) breathlessness score of 5 compared with those with and MRC score of 1 (P = 0.023). A/A allergic subjects (n = 27) in this study were ≈ 11 years younger than allergic A/O subjects (n = 11, P = 0.02). Subjects with worse respiratory status or more severe CPA had higher MBL serum levels (P = 0.023; P = 0.034). Bronchiectasis was not associated with MBL levels in CPA or allergic aspergillosis. MBL genotype and serum level modulate progression of aspergillosis.
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Affiliation(s)
- E Harrison
- The National Aspergillosis Centre, The University Hospital of South Manchester, Manchester Academic Health Science Centre, The University of Manchester, Manchester, UK
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Bueid A, Howard SJ, Moore CB, Richardson MD, Harrison E, Bowyer P, Denning DW. Azole antifungal resistance in Aspergillus fumigatus: 2008 and 2009. J Antimicrob Chemother 2010; 65:2116-8. [DOI: 10.1093/jac/dkq279] [Citation(s) in RCA: 246] [Impact Index Per Article: 17.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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Growcott J, Brady G, Pickering K, Walker J, Lovick S, Chetty R, Kevill H, Prahladan M, Grimes E, Harrison E, Mefo T, Hodgson D. Abstract C130: Plucked human scalp hairs: Potential utility as a surrogate tissue for the assessment of therapies targeting the androgen receptor. Mol Cancer Ther 2009. [DOI: 10.1158/1535-7163.targ-09-c130] [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: 11/16/2022]
Abstract
Abstract
Objective: Evaluate whether plucked human scalp or eyebrow hairs obtained from male elderly healthy normal volunteers (HNVs) are suitable for assessing RNA expression patterns linked to the androgen receptor.
Procedure: For each of 12 HNV subjects plucked eyebrow and scalp hairs were obtained at 2 time points. For each time point up to three individual anagen hairs were selected for RNA extraction and representative cDNA amplification. For each sample RNA quality was assessed by agarose gel electrophoresis and cDNA quality assessed by qPCR analysis of 3 reference or “housekeeping” genes. Expression levels of a panel of 20 androgen receptor regulated genes were measured by qPCR for samples passing both RNA and cDNA quality criteria.
Results : Of the 72 scalp hairs analysed 64 (89 %) passed both RNA and cDNA quality criteria with 23 out of 24 (96%) sample collection points yielding 2 or more analysable hairs. This high success translated into available data for both time points in 11 out of 12 HNVs (92 %). In contrast, for the 72 eyebrow hairs analysed only 2 (3 %) passed RNA quality criteria with none of the collection points yielded 2 or more analysable hairs. Of the 20 test genes qPCR analysis identified a short list of 7 genes with expression levels similar to “housekeeping” genes indicating that they should be reliably detected in the majority of scalp hairs. These results are in keeping with a previous HNV study of younger male and female donors and indicate that plucked scalp hairs may be of value in the early phases of clinical development of androgen receptor based therapies.
Citation Information: Mol Cancer Ther 2009;8(12 Suppl):C130.
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Affiliation(s)
| | - Ged Brady
- 2 Epistem PLC, Manchester, United Kingdom
| | | | - Jill Walker
- 1 AstraZeneca, Alderley Park, United Kingdom
| | | | - Raj Chetty
- 1 AstraZeneca, Alderley Park, United Kingdom
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Breeze E, Harrison E, Page T, Warner N, Shen C, Zhang C, Buchanan-Wollaston V. Transcriptional regulation of plant senescence: from functional genomics to systems biology. Plant Biol (Stuttg) 2008; 10 Suppl 1:99-109. [PMID: 18721315 DOI: 10.1111/j.1438-8677.2008.00076.x] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/07/2023]
Abstract
Leaf senescence is an active process that involves the increased expression of many hundreds of genes. Many putative transcription factors show enhanced transcription during leaf senescence in Arabidopsis and functional analysis of these should help to indicate their role in controlling gene expression during leaf senescence. In this paper, we describe the analysis of knockout insertion mutants in two different senescence-enhanced genes, one encodes a heat shock transcription factor and the other a zinc finger protein. Plants mutated in these genes show accelerated leaf senescence and reduced tolerance to drought stress, indicating that expression of these genes during senescence has a protective role to maintain viability during this essential developmental process. Analysis of gene expression changes in both mutants compared to the wild-type plants indicates an increased rate of senescence but does not show clearly the pathway that is dependent on these genes for expression. The complexities of signalling networks in plant stress and the plasticity of plant responses mean that the direct consequences of mutation are very difficult to define. The usefulness of this type of approach to address the burning question of how senescence is regulated is discussed, and an alternative approach aimed at a more global analysis of gene regulation using systems biology methods is described.
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Affiliation(s)
- E Breeze
- Warwick HRI, University of Warwick, Wellesbourne, Warwick, UK
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Penfold S, Harrison E, Bell J, Fitzmaurice A. Evaluation of the delivery fee exemption policy in ghana: population estimates of changes in delivery service utilization in two regions. Ghana Med J 2007; 41:100-109. [PMID: 18470327 PMCID: PMC2279083] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/26/2023] Open
Abstract
SUMMARY OBJECTIVES To determine changes in the proportion of deliveries at health facilities and the proportion attended by health professionals after delivery fee exemption implementation. DESIGN Pre and post intervention implementation cluster-sampled household survey. SETTING Central and Volta regions of Ghana. PARTICIPANTS Women who had delivered in these regions during the fee exemption policy and an equivalent period of time prior to it. MAIN OUTCOME MEASURES Place of delivery and person attending. RESULTS After fee exemption implementation the likelihood of delivering in a health facility increased significantly in Central (OR 1.83, p<0.001) and Volta (OR 1.34, p<0.05) regions when accounting for the mothers' education and poverty levels and the clustered data. Results from Central Region showed increases in facility deliveries mainly occurred in health centres (from 13.7% to 22.3% of deliveries), and were attended by midwives (from 49.0% to 59.7%). There was evidence that after implementation some inequalities in the uptake of facility deliveries decreased. The greatest increase in the proportion of deliveries taking place in facilities occurred among women with the lowest levels of education (Central Region) and wealth (Volta Region). These changes reduced the differentials observed. CONCLUSIONS After the implementation of fee exemption the proportion of deliveries in health facilities increased in both regions. Although changes cannot be directly attributed to delivery fee exemption, results demonstrating that the greatest increases in facility-based deliveries occurred among the poorest and least educated women are consistent with the expectation that the policy would particularly benefit women with the greatest financial barrier to health care and at the greatest risk of maternal mortality.
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Affiliation(s)
- Suzanne Penfold
- Department of Palliative Care, Policy and Rehabilitation, King's College London, London, SE5 9RJ, UK
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Devlin H, Allen PD, Graham J, Jacobs R, Karayianni K, Lindh C, van der Stelt PF, Harrison E, Adams JE, Pavitt S, Horner K. Automated osteoporosis risk assessment by dentists: a new pathway to diagnosis. Bone 2007; 40:835-42. [PMID: 17188590 DOI: 10.1016/j.bone.2006.10.024] [Citation(s) in RCA: 48] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/28/2006] [Revised: 09/29/2006] [Accepted: 10/29/2006] [Indexed: 10/23/2022]
Abstract
General dental practitioners use a vast amount of panoramic radiography in their routine clinical work, but valuable information about patients' osteoporotic status is not collected. There are many reasons for this, but one of the prime reasons must be the disruption involved in clinical routine with lengthy manual radiographic assessment. We have developed computer software, based on active shape modeling that will automatically detect the mandibular cortex on panoramic radiographs, and then measure its width. Automatic or semi-automatic measurement of the cortical width will indicate the osteoporotic risk of the patient. The aim of our work was to assess the computer search technique's ability to measure the mandibular cortical width and to assess its potential for detection of osteoporosis of the hip, spine and femoral neck. Mandibular cortical width was measured using the manually initialized (semi-automatic) method and, when assessed for diagnosing osteoporosis at one of the three measurement sites, gave an area under the ROC curve (A(z))=0.816 (95% CI=0.784 to 0.845) and for the automatically initialized searches, A(z)=0.759 (95% CI=0.724 to 0.791). The difference between areas=0.057 (95% Confidence interval=0.025 to 0.089), p<0.0001. For diagnosing osteoporosis at the femoral neck, mandibular cortical width derived from the manually initialized fit gave an area under the ROC curve (A(z))=0.835 (95% CI=0.805 to 0.863) and for the automatically initialized searches A(z)=0.805 (95% CI=0.773 to 0.835). The difference in A(z) values between active shape modeling search methods=0.030 (95% CI=-0.010 to 0.070), and this was not significant, p=0.138. We concluded that measurement of mandibular cortical width using active shape modeling is capable of diagnosing skeletal osteoporosis with good diagnostic ability and repeatability.
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Affiliation(s)
- H Devlin
- School of Dentistry, University Dental Hospital, Higher Cambridge Street, Manchester, M15 6FH, UK.
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Warner N, Breeze E, Harrison E, Buchanan-Wollaston V. Unravelling the roles of two senescence-enhanced MYB transcription factors. Comp Biochem Physiol A Mol Integr Physiol 2007. [DOI: 10.1016/j.cbpa.2007.01.600] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Buchanan-Wollaston V, Harrison E, Breeze E. Elucidating signaling pathways that control Arabidopsis leaf senescence. Comp Biochem Physiol A Mol Integr Physiol 2007. [DOI: 10.1016/j.cbpa.2007.01.035] [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: 10/23/2022]
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Karayianni K, Horner K, Mitsea A, Berkas L, Mastoris M, Jacobs R, Lindh C, van der Stelt PF, Harrison E, Adams JE, Pavitt S, Devlin H. Accuracy in osteoporosis diagnosis of a combination of mandibular cortical width measurement on dental panoramic radiographs and a clinical risk index (OSIRIS): the OSTEODENT project. Bone 2007; 40:223-9. [PMID: 16979965 DOI: 10.1016/j.bone.2006.07.025] [Citation(s) in RCA: 69] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/25/2006] [Revised: 07/25/2006] [Accepted: 07/27/2006] [Indexed: 11/28/2022]
Abstract
Clinical questionnaires and dental radiographic findings have both been suggested as methods of identifying women at risk of having osteoporosis and who might benefit from bone densitometry. The aim of this study was to measure the diagnostic accuracy of a combination of mandibular cortical width (MCW) measured from dental panoramic radiographs (DPRs) and the osteoporosis index of risk (OSIRIS) in the diagnosis of osteoporosis. 653 women (age range 45-70 years, mean age 54.95 years) in four European centres underwent standardised dual X-ray energy absorptiometry (DXA) to provide reference data on osteoporosis status. Each subject was interviewed to derive OSIRIS scores and underwent DPR examination. MCW was measured directly by five observers. Receiver Operating Characteristic (ROC) curve analysis was used to calculate sensitivities and specificities of the clinical and radiographic tests for the diagnosis of osteoporosis. 512 (78.4%) of the study population were classified as having normal BMD and 141 (21.6%) as having osteoporosis. Using ROC analysis, OSIRIS gave a ROC curve area (A(z)) of 0.838, with a sensitivity of 70.9% and a specificity of 79.5% at a diagnostic threshold of <or=+1. MCW on DPRs gave Az values for the five observers ranging from 0.71 to 0.78, providing sensitivities between 41.0% and 59.6% and specificities of between 81.8% and 90.3% at a diagnostic threshold of a 3 mm MCW and sensitivities between 94.2% and 99.3% and specificities of between 9.8% and 23.7% at a diagnostic threshold of a 4.5 mm MCW. Inter-observer repeatability was less than 2.15 mm for 95% of subjects. Combining clinical and radiographic tests had the effect of improving specificity at the expense of a fall in sensitivity. Diagnostic thresholds for MCW and OSIRIS can be chosen to provide the sensitivity and specificity combination that best suits locally determined needs. However, the addition of OSIRIS as a stepwise 'follow-up' test to radiographic assessment of MCW should only be performed if the aim is to have a test for which the highest achievable specificity is desired.
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Flatscher-Bader T, van der Brug MP, Landis N, Hwang JW, Harrison E, Wilce PA. Comparative gene expression in brain regions of human alcoholics. Genes Brain Behav 2006; 5 Suppl 1:78-84. [PMID: 16417620 DOI: 10.1111/j.1601-183x.2006.00197.x] [Citation(s) in RCA: 41] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
The mesocorticolimbic system is the reward centre of the brain and the major target for drugs of abuse including alcohol. Neuroadaptive changes in this region are thought to underlie the process of tolerance and dependence. Recently, several research groups have searched for alcohol-responsive genes using high-throughput microarrays and well-characterized human post-mortem material. Comparison of data from these studies of cortical regions highlights the differences in experimental approach and selection of cases. However, alcohol-responsive gene sets associated with transcription, oxidative stress and energy production were common to these studies. In marked contrast, alcohol-responsive genes in the nucleus accumbens and the ventral tegmental area are primarily associated with changes in neurotransmission and signal transduction. These data support the concept that, within cortical regions, changes in gene expression are associated with alcoholism-related pathology. In the dopaminergic tract of the mesocorticolimbic system, alcohol-responsive gene sets suggest long-term neuroplastic changes in synaptic transmission.
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Affiliation(s)
- T Flatscher-Bader
- Department of Biochemistry and Molecular Biology, School of Molecular and Microbial Sciences, The University of Queensland, Queensland, Australia
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Oshowo A, Gillams A, Harrison E, Lees WR, Taylor I. Comparison of resection and radiofrequency ablation for treatment of solitary colorectal liver metastases. Br J Surg 2003; 90:1240-3. [PMID: 14515293 DOI: 10.1002/bjs.4264] [Citation(s) in RCA: 232] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
BACKGROUND Liver resection is the treatment of choice for patients with solitary colorectal liver metastases. In recent years, however, radiofrequency ablation has been used increasingly in the treatment of colorectal liver metastases. In the absence of randomized clinical trials, this study aimed to compare outcome in patients with solitary colorectal liver metastases treated by surgery or by radiofrequency ablation. METHODS Solitary colorectal liver metastases were treated by radiofrequency destruction in 25 patients. The indications were extrahepatic disease in seven, vessel contiguity in nine and co-morbidity in nine patients. Outcome was compared with that of 20 patients who were treated by liver resection for solitary metastases and had no evidence of extrahepatic disease. Most patients in both groups also received systemic chemotherapy. RESULTS Median survival after liver resection was 41 (range 0-97) months with a 3-year survival rate of 55.4 per cent. There was one postoperative death and morbidity was minimal. Median survival after radiofrequency ablation was 37 (range 9-67) months with a 3-year survival rate of 52.6 per cent. CONCLUSION Survival after resection and radiofrequency ablation of solitary colorectal liver metastases was comparable. The latter is less invasive and requires either an overnight stay or day-case facilities only.
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Affiliation(s)
- A Oshowo
- Department of Surgery, Royal Free and University College Medical School, University College London, London, UK
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