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Kim H, Lazurko A, Linney G, Maskell L, Díaz-General E, Březovská RJ, Keune H, Laspidou C, Malinen H, Oinonen S, Raymond J, Rounsevell M, Vaňo S, Venâncio MD, Viesca-Ramirez A, Wijesekera A, Wilson K, Ziliaskopoulos K, Harrison PA. Understanding the role of biodiversity in the climate, food, water, energy, transport and health nexus in Europe. Sci Total Environ 2024; 925:171692. [PMID: 38485013 DOI: 10.1016/j.scitotenv.2024.171692] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/11/2023] [Revised: 03/10/2024] [Accepted: 03/11/2024] [Indexed: 03/23/2024]
Abstract
Biodiversity underpins the functioning of ecosystems and the diverse benefits that nature provides to people, yet is being lost at an unprecedented rate. To halt or reverse biodiversity loss, it is critical to understand the complex interdependencies between biodiversity and key drivers and sectors to inform the development of holistic policies and actions. We conducted a literature review on the interlinkages between biodiversity and climate change, food, water, energy, transport and health ("the biodiversity nexus"). Evidence extracted from 194 peer-reviewed articles was analysed to assess how biodiversity is being influenced by and is influencing the other nexus elements. Out of the 354 interlinkages between biodiversity and the other nexus elements, 53 % were negative, 29 % were positive and 18 % contained both positive and negative influences. The majority of studies provide evidence of the negative influence of other nexus elements on biodiversity, highlighting the substantial damage being inflicted on nature from human activities. The main types of negative impacts were land or water use/change, land or water degradation, climate change, and direct species fatalities through collisions with infrastructure. Alternatively, evidence of biodiversity having a negative influence on the other nexus elements was limited to the effects of invasive alien species and vector-borne diseases. Furthermore, a range of studies provided evidence of how biodiversity and the other nexus elements can have positive influences on each other through practices that promote co-benefits. These included biodiversity-friendly management in relevant sectors, protection and restoration of ecosystems and species that provide essential ecosystem services, green and blue infrastructure including nature-based solutions, and sustainable and healthy diets that mitigate climate change. The review highlighted the complexity and context-dependency of interlinkages within the biodiversity nexus, but clearly demonstrates the importance of biodiversity in underpinning resilient ecosystems and human well-being in ensuring a sustainable future for people and the planet.
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Affiliation(s)
- HyeJin Kim
- UK Centre for Ecology & Hydrology, Lancaster Environment Centre, Library Avenue, Bailrigg, Lancaster LA1 4AP, UK.
| | - Anita Lazurko
- UK Centre for Ecology & Hydrology, Lancaster Environment Centre, Library Avenue, Bailrigg, Lancaster LA1 4AP, UK
| | - George Linney
- UK Centre for Ecology & Hydrology, Lancaster Environment Centre, Library Avenue, Bailrigg, Lancaster LA1 4AP, UK
| | - Lindsay Maskell
- UK Centre for Ecology & Hydrology, Lancaster Environment Centre, Library Avenue, Bailrigg, Lancaster LA1 4AP, UK
| | - Elizabeth Díaz-General
- Institute of Meteorology and Climate Research, Atmospheric Environmental Research (IMK-IFU), Karlsruhe Institute of Technology Garmisch-Partenkirchen, Germany
| | - Romana Jungwirth Březovská
- Global Change Research Institute of the Czech Academy of Sciences, Bělidla 986/4a, 603 00 Brno, Czech Republic; Charles University, Faculty of Humanities, Pátkova 2137/5, 182 00 Praha 8 - Libeň, Czech Republic
| | - Hans Keune
- Chair Care and the Natural Living Environment, Department of Family Medicine and Population Health, Faculty of Medicine and Health Sciences, University of Antwerp, Prinsstraat 13, 2000 Antwerpen, Belgium
| | - Chrysi Laspidou
- Civil Engineering Department, University of Thessaly, Volos 38334, Greece; Sustainable Development Unit, ATHENA Research Center, Marousi 15125, Greece
| | - Henna Malinen
- Finnish Environment Institute, Latokartanonkaari 11, 00790 Helsinki, Finland
| | - Soile Oinonen
- Finnish Environment Institute, Latokartanonkaari 11, 00790 Helsinki, Finland
| | - Joanna Raymond
- Institute of Meteorology and Climate Research, Atmospheric Environmental Research (IMK-IFU), Karlsruhe Institute of Technology Garmisch-Partenkirchen, Germany
| | - Mark Rounsevell
- Institute of Meteorology and Climate Research, Atmospheric Environmental Research (IMK-IFU), Karlsruhe Institute of Technology Garmisch-Partenkirchen, Germany; Institute for Geography & Geo-ecology, Karlsruhe Institute of Technology, Karlsruhe, Germany; School of Geosciences, University of Edinburgh, Edinburgh, UK
| | - Simeon Vaňo
- Global Change Research Institute of the Czech Academy of Sciences, Bělidla 986/4a, 603 00 Brno, Czech Republic; Department of Ecology and Environmental Sciences, Constantine the Philosopher University in Nitra, Tr. A. Hlinku 1, 94974 Nitra, Slovakia
| | | | - Alejandrina Viesca-Ramirez
- Global Change Research Institute of the Czech Academy of Sciences, Bělidla 986/4a, 603 00 Brno, Czech Republic
| | - Ayesha Wijesekera
- United Nations Environment Programme World Conservation Monitoring Centre, United Kingdom
| | - Katie Wilson
- United Nations Environment Programme World Conservation Monitoring Centre, United Kingdom
| | - Konstantinos Ziliaskopoulos
- Civil Engineering Department, University of Thessaly, Volos 38334, Greece; Department of Environmental Sciences, University of Thessaly, Larissa 41500, Greece
| | - Paula A Harrison
- UK Centre for Ecology & Hydrology, Lancaster Environment Centre, Library Avenue, Bailrigg, Lancaster LA1 4AP, UK
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Ke M, Soothill G, Wilson K, Swietlik S, Leckie A, Sutherland R. Descriptive study of COVID-19 vaccinations and infections within an NHS workforce. Occup Med (Lond) 2024; 74:120-127. [PMID: 38029429 DOI: 10.1093/occmed/kqad126] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2023] Open
Abstract
BACKGROUND Healthcare workers were a priority group for coronavirus disease 2019 (COVID-19) vaccination during the pandemic. Occupational exposure may account for some of the increased risk faced. AIMS Describe COVID-19 vaccine uptake and infection rates in staff across a large NHS board in Scotland to better understand occupational risk during the pandemic. METHODS Descriptive cross-sectional study. Demographic data were extracted on 5 August 2021 from 26 058 members of staff. COVID-19 vaccination status and positive polymerase chain reaction (PCR) results were extracted on two separate dates to describe the timeline of staff infections between March 2020 and January 2022. RESULTS There was high uptake of all three vaccine doses across all demographic groups in hospital staff. PCR positivity decreased with increasing age and Scottish Index of Multiple Deprivation score. Staff and nosocomial COVID-19 infections followed peaks in community infection rates. CONCLUSIONS NHS Lothian is a typical NHS workforce with good vaccine uptake. Beyond very early cases, there seems to be minimal evidence of occupational acquisition of COVID-19. The large number of nosocomial infections at the start of the pandemic may, in fact, reflect lack of community testing at this time. Despite protection from high vaccine coverage, job type and good Infection Prevention and Control practices, it seems that staff remain at high risk of catching the highly transmissible omicron variant from the community rather than work.
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Affiliation(s)
- M Ke
- Clinical Infection Research Group, Edinburgh, EH4 2JP, UK
| | - G Soothill
- Regional Infectious Diseases Unit, Edinburgh, EH4 2JP, UK
| | - K Wilson
- Lothian Occupational Health and Safety Service, Edinburgh, EH9 2HL, UK
| | - S Swietlik
- Lothian NHS Board, Edinburgh, EH1 3EG, UK
| | - A Leckie
- Lothian Occupational Health and Safety Service, Edinburgh, EH9 2HL, UK
| | - R Sutherland
- Clinical Infection Research Group, Edinburgh, EH4 2JP, UK
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Chater RC, Quinn AS, Wilson K, Frangos ZJ, Sutton P, Jayakumar S, Cioffi CL, O'Mara ML, Vandenberg RJ. The efficacy of the analgesic GlyT2 inhibitor, ORG25543, is determined by two connected allosteric sites. J Neurochem 2023. [PMID: 38131125 DOI: 10.1111/jnc.16028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Revised: 10/23/2023] [Accepted: 11/28/2023] [Indexed: 12/23/2023]
Abstract
Glycine Transporter 2 (GlyT2) inhibitors have shown considerable potential as analgesics for the treatment of neuropathic pain but also display considerable side effects. One potential source of side effects is irreversible inhibition. In this study, we have characterized the mechanism of ORG25543 inhibition of GlyT2 by first considering three potential ligand binding sites on GlyT2-the substrate site, the vestibule allosteric site and the lipid allosteric site. The three sites were tested using a combination of molecular dynamics simulations and analysis of the inhibition of glycine transport of a series point mutated GlyT2 using electrophysiological methods. We demonstrate that the lipid allosteric site on GlyT2 is the most likely binding site for ORG25543. We also demonstrate that cholesterol derived from the cell membrane can form specific interactions with inhibitor-bound transporters to form an allosteric network of regulatory sites. These observations will guide the future design of GlyT2 inhibitors with the objective of minimising on-target side effects and improving the therapeutic window for the treatment of patients suffering from neuropathic pain.
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Affiliation(s)
- Ryan Cantwell Chater
- School of Medical Sciences, University of Sydney, Sydney, New South Wales, Australia
| | - Ada S Quinn
- Research School of Chemistry, College of Science, The Australian National University, Canberra, Australian Capital Territory, Australia
- Australian Institute of Bioengineering and Nanotechnology, The University of Queensland, St Lucia, Queensland, Australia
| | - Katie Wilson
- Research School of Chemistry, College of Science, The Australian National University, Canberra, Australian Capital Territory, Australia
| | - Zachary J Frangos
- School of Medical Sciences, University of Sydney, Sydney, New South Wales, Australia
| | - Patrick Sutton
- Research School of Chemistry, College of Science, The Australian National University, Canberra, Australian Capital Territory, Australia
- Australian Institute of Bioengineering and Nanotechnology, The University of Queensland, St Lucia, Queensland, Australia
| | - Srinivasan Jayakumar
- Department of Chemistry and Chemical Biology, Rensselaer Polytechnic Institute, Troy, New York, USA
| | - Christopher L Cioffi
- Department of Chemistry and Chemical Biology, Rensselaer Polytechnic Institute, Troy, New York, USA
| | - Megan L O'Mara
- Research School of Chemistry, College of Science, The Australian National University, Canberra, Australian Capital Territory, Australia
- Australian Institute of Bioengineering and Nanotechnology, The University of Queensland, St Lucia, Queensland, Australia
| | - Robert J Vandenberg
- School of Medical Sciences, University of Sydney, Sydney, New South Wales, Australia
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Adams DQ, Alduino C, Alfonso K, Avignone FT, Azzolini O, Bari G, Bellini F, Benato G, Biassoni M, Branca A, Brofferio C, Bucci C, Camilleri J, Caminata A, Campani A, Canonica L, Cao XG, Capelli S, Cappelli L, Cardani L, Carniti P, Casali N, Chiesa D, Clemenza M, Copello S, Cosmelli C, Cremonesi O, Creswick RJ, D'Addabbo A, Dafinei I, Davis CJ, Dell'Oro S, Di Domizio S, Dompè V, Fang DQ, Fantini G, Faverzani M, Ferri E, Ferroni F, Fiorini E, Franceschi MA, Freedman SJ, Fu SH, Fujikawa BK, Giachero A, Gironi L, Giuliani A, Gorla P, Gotti C, Gutierrez TD, Han K, Heeger KM, Huang RG, Huang HZ, Johnston J, Keppel G, Kolomensky YG, Ligi C, Ma L, Ma YG, Marini L, Maruyama RH, Mayer D, Mei Y, Moggi N, Morganti S, Napolitano T, Nastasi M, Nikkel J, Nones C, Norman EB, Nucciotti A, Nutini I, O'Donnell T, Ouellet JL, Pagan S, Pagliarone CE, Pagnanini L, Pallavicini M, Pattavina L, Pavan M, Pessina G, Pettinacci V, Pira C, Pirro S, Pozzi S, Previtali E, Puiu A, Rosenfeld C, Rusconi C, Sakai M, Sangiorgio S, Schmidt B, Scielzo ND, Sharma V, Singh V, Sisti M, Speller D, Surukuchi PT, Taffarello L, Terranova F, Tomei C, Vetter KJ, Vignati M, Wagaarachchi SL, Wang BS, Welliver B, Wilson J, Wilson K, Winslow LA, Zimmermann S, Zucchelli S. Erratum: Measurement of the 2νββ Decay Half-Life of ^{130}Te with CUORE [Phys. Rev. Lett. 126, 171801 (2021)]. Phys Rev Lett 2023; 131:249902. [PMID: 38181163 DOI: 10.1103/physrevlett.131.249902] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/10/2023] [Indexed: 01/07/2024]
Abstract
This corrects the article DOI: 10.1103/PhysRevLett.126.171801.
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Tanner J, Brierley Jones L, Rochon M, Westwood N, Wloch C, Vaja R, Rogers L, Dearling J, Wilson K, Magboo R, Aujla H, Page S, Whiting P, Murphy G, Brown C, Lamagni T, Harrington P. Barriers and facilitators for surgical site infection surveillance for adult cardiac surgery in a high-income setting: an in-depth exploration. J Hosp Infect 2023; 141:112-118. [PMID: 37734675 DOI: 10.1016/j.jhin.2023.08.023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2023] [Revised: 08/02/2023] [Accepted: 08/10/2023] [Indexed: 09/23/2023]
Abstract
BACKGROUND Surgical site infection (SSI) surveillance aims to facilitate a reduction in SSIs through identifying infection rates, benchmarking, triggering clinical review and instituting infection control measures. Participation in surveillance is, however, variable suggesting opportunities to improve wider adoption. AIM To gain an in-depth understanding of the barriers and facilitators for SSI surveillance in a high-income European setting. METHODS Key informant interviews with 16 surveillance staff, infection prevention staff, nurses and surgeons from nine cardiac hospitals in England. Data were analysed thematically. FINDINGS SSI surveillance was reported to be resource intensive. Barriers to surveillance included challenges associated with data collection: data being located in numerous places, multiple SSI data reporting schemes, difficulty in finding denominator data, lack of interface between computerized systems, 'labour intensive' or 'antiquated' methods to collect data (e.g., using postal systems for patient questionnaires). Additional reported concerns included: relevance of definitions, perceived variability in data reporting, lack of surgeon engagement, unsupportive managers, low priority of SSIs among staff, and a 'blame culture' around high SSI rates. Facilitators were increased resources, better use of digital technologies (e.g., remote digital wound monitoring), integrating surveillance within routine clinical work, having champions, mandating surveillance, ensuring a closer relationship between surveillance and improved patient outcomes, increasing the focus on post-discharge surveillance, and integration with primary care data. CONCLUSION Using novel interviews with 'front-line' staff, identified opportunities for improving participation in SSI surveillance. Translating these findings into action will increase surveillance activity and bring patient safety benefits to a larger pool of surgical patients.
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Affiliation(s)
- J Tanner
- School of Health Sciences, University of Nottingham, Nottingham, UK.
| | - L Brierley Jones
- School of Health Sciences, University of Nottingham, Nottingham, UK
| | - M Rochon
- Directorate of Infection, Guy's and St Thomas' NHS Foundation Trust, London, UK
| | | | - C Wloch
- HCAI Fungal AMR AMU & Sepsis Division, UKHSA, London, UK
| | - R Vaja
- Department of Cardiothoracic Surgery, Brompton and Harefield Hospitals, Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - L Rogers
- Department of Cardiothoracic Surgery, University Hospitals of Bristol and Weston NHS Foundation Trust
| | | | - K Wilson
- Patient and Public Representative, UK
| | - R Magboo
- Critical Care, Barts Health NHS Trust, London, UK
| | - H Aujla
- Department of Cardiovascular Sciences, University of Leicester, Leicester, UK
| | - S Page
- Department of Cardiovascular Sciences, University of Leicester, Leicester, UK
| | - P Whiting
- Bristol Medical School, University of Bristol, Bristol, UK
| | - G Murphy
- Department of Cardiovascular Sciences, University of Leicester, Leicester, UK
| | - C Brown
- HCAI Fungal AMR AMU & Sepsis Division, UKHSA, London, UK
| | - T Lamagni
- HCAI Fungal AMR AMU & Sepsis Division, UKHSA, London, UK
| | - P Harrington
- HCAI Fungal AMR AMU & Sepsis Division, UKHSA, London, UK
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6
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Yaranov D, Kittipibul V, Snodgrass B, Mahmoud O, Edwards T, Shirwany A, Acheson K, Wilson K, Campbell S, Bruckner B, Fudim M, Mullinax W. The Utilities of Family Frailty Score as a Novel Social Support Assessment Tool for Patients Undergoing Advanced Heart Failure Therapies. J Heart Lung Transplant 2023. [DOI: 10.1016/j.healun.2023.02.1260] [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: 04/05/2023] Open
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7
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Adams DQ, Alduino C, Alfonso K, Avignone FT, Azzolini O, Bari G, Bellini F, Benato G, Beretta M, Biassoni M, Branca A, Brofferio C, Bucci C, Camilleri J, Caminata A, Campani A, Canonica L, Cao XG, Capelli S, Capelli C, Cappelli L, Cardani L, Carniti P, Casali N, Celi E, Chiesa D, Clemenza M, Copello S, Cremonesi O, Creswick RJ, D'Addabbo A, Dafinei I, Del Corso F, Dell'Oro S, Di Domizio S, Di Lorenzo S, Dompè V, Fang DQ, Fantini G, Faverzani M, Ferri E, Ferroni F, Fiorini E, Franceschi MA, Freedman SJ, Fu SH, Fujikawa BK, Ghislandi S, Giachero A, Gianvecchio A, Gironi L, Giuliani A, Gorla P, Gotti C, Gutierrez TD, Han K, Hansen EV, Heeger KM, Huang RG, Huang HZ, Johnston J, Keppel G, Kolomensky YG, Kowalski R, Liu R, Ma L, Ma YG, Marini L, Maruyama RH, Mayer D, Mei Y, Morganti S, Napolitano T, Nastasi M, Nikkel J, Nones C, Norman EB, Nucciotti A, Nutini I, O'Donnell T, Olmi M, Ouellet JL, Pagan S, Pagliarone CE, Pagnanini L, Pallavicini M, Pattavina L, Pavan M, Pessina G, Pettinacci V, Pira C, Pirro S, Pozzi S, Previtali E, Puiu A, Quitadamo S, Ressa A, Rosenfeld C, Sangiorgio S, Schmidt B, Scielzo ND, Sharma V, Singh V, Sisti M, Speller D, Surukuchi PT, Taffarello L, Terranova F, Tomei C, Vetter KJ, Vignati M, Wagaarachchi SL, Wang BS, Welliver B, Wilson J, Wilson K, Winslow LA, Zimmermann S, Zucchelli S. New Direct Limit on Neutrinoless Double Beta Decay Half-Life of ^{128}Te with CUORE. Phys Rev Lett 2022; 129:222501. [PMID: 36493444 DOI: 10.1103/physrevlett.129.222501] [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] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Revised: 07/22/2022] [Accepted: 10/03/2022] [Indexed: 06/17/2023]
Abstract
The Cryogenic Underground Observatory for Rare Events (CUORE) at Laboratori Nazionali del Gran Sasso of INFN in Italy is an experiment searching for neutrinoless double beta (0νββ) decay. Its main goal is to investigate this decay in ^{130}Te, but its ton-scale mass and low background make CUORE sensitive to other rare processes as well. In this Letter, we present our first results on the search for 0νββ decay of ^{128}Te, the Te isotope with the second highest natural isotopic abundance. We find no evidence for this decay, and using a Bayesian analysis we set a lower limit on the ^{128}Te 0νββ decay half-life of T_{1/2}>3.6×10^{24} yr (90% CI). This represents the most stringent limit on the half-life of this isotope, improving by over a factor of 30 the previous direct search results, and exceeding those from geochemical experiments for the first time.
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Affiliation(s)
- D Q Adams
- Department of Physics and Astronomy, University of South Carolina, Columbia, South Carolina 29208, USA
| | - C Alduino
- Department of Physics and Astronomy, University of South Carolina, Columbia, South Carolina 29208, USA
| | - K Alfonso
- Department of Physics and Astronomy, University of California, Los Angeles, California 90095, USA
| | - F T Avignone
- Department of Physics and Astronomy, University of South Carolina, Columbia, South Carolina 29208, USA
| | - O Azzolini
- INFN-Laboratori Nazionali di Legnaro, Legnaro (Padova) I-35020, Italy
| | - G Bari
- INFN-Sezione di Bologna, Bologna I-40127, Italy
| | - F Bellini
- Dipartimento di Fisica, Sapienza Università di Roma, Roma I-00185, Italy
- INFN-Sezione di Roma, Roma I-00185, Italy
| | - G Benato
- INFN-Laboratori Nazionali del Gran Sasso, Assergi (L'Aquila) I-67100, Italy
| | - M Beretta
- Department of Physics, University of California, Berkeley, California 94720, USA
| | - M Biassoni
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
| | - A Branca
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - C Brofferio
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - C Bucci
- INFN-Laboratori Nazionali del Gran Sasso, Assergi (L'Aquila) I-67100, Italy
| | - J Camilleri
- Center for Neutrino Physics, Virginia Polytechnic Institute and State University, Blacksburg, Virginia 24061, USA
| | - A Caminata
- INFN-Sezione di Genova, Genova I-16146, Italy
| | - A Campani
- INFN-Sezione di Genova, Genova I-16146, Italy
- Dipartimento di Fisica, Università di Genova, Genova I-16146, Italy
| | - L Canonica
- INFN-Laboratori Nazionali del Gran Sasso, Assergi (L'Aquila) I-67100, Italy
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - X G Cao
- Key Laboratory of Nuclear Physics and Ion-beam Application (MOE), Institute of Modern Physics, Fudan University, Shanghai 200433, China
| | - S Capelli
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - C Capelli
- Nuclear Science Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - L Cappelli
- INFN-Laboratori Nazionali del Gran Sasso, Assergi (L'Aquila) I-67100, Italy
| | - L Cardani
- INFN-Sezione di Roma, Roma I-00185, Italy
| | - P Carniti
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - N Casali
- INFN-Sezione di Roma, Roma I-00185, Italy
| | - E Celi
- INFN-Laboratori Nazionali del Gran Sasso, Assergi (L'Aquila) I-67100, Italy
- Gran Sasso Science Institute, L'Aquila I-67100, Italy
| | - D Chiesa
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - M Clemenza
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - S Copello
- INFN-Sezione di Genova, Genova I-16146, Italy
- Dipartimento di Fisica, Università di Genova, Genova I-16146, Italy
| | - O Cremonesi
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
| | - R J Creswick
- Department of Physics and Astronomy, University of South Carolina, Columbia, South Carolina 29208, USA
| | - A D'Addabbo
- INFN-Laboratori Nazionali del Gran Sasso, Assergi (L'Aquila) I-67100, Italy
| | - I Dafinei
- INFN-Sezione di Roma, Roma I-00185, Italy
| | - F Del Corso
- INFN-Sezione di Bologna, Bologna I-40127, Italy
| | - S Dell'Oro
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - S Di Domizio
- INFN-Sezione di Genova, Genova I-16146, Italy
- Dipartimento di Fisica, Università di Genova, Genova I-16146, Italy
| | - S Di Lorenzo
- INFN-Laboratori Nazionali del Gran Sasso, Assergi (L'Aquila) I-67100, Italy
| | - V Dompè
- Dipartimento di Fisica, Sapienza Università di Roma, Roma I-00185, Italy
- INFN-Sezione di Roma, Roma I-00185, Italy
| | - D Q Fang
- Key Laboratory of Nuclear Physics and Ion-beam Application (MOE), Institute of Modern Physics, Fudan University, Shanghai 200433, China
| | - G Fantini
- Dipartimento di Fisica, Sapienza Università di Roma, Roma I-00185, Italy
- INFN-Sezione di Roma, Roma I-00185, Italy
| | - M Faverzani
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - E Ferri
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
| | - F Ferroni
- INFN-Sezione di Roma, Roma I-00185, Italy
- Gran Sasso Science Institute, L'Aquila I-67100, Italy
| | - E Fiorini
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - M A Franceschi
- INFN-Laboratori Nazionali di Frascati, Frascati (Roma) I-00044, Italy
| | - S J Freedman
- Department of Physics, University of California, Berkeley, California 94720, USA
- Nuclear Science Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - S H Fu
- Key Laboratory of Nuclear Physics and Ion-beam Application (MOE), Institute of Modern Physics, Fudan University, Shanghai 200433, China
| | - B K Fujikawa
- Nuclear Science Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - S Ghislandi
- INFN-Laboratori Nazionali del Gran Sasso, Assergi (L'Aquila) I-67100, Italy
- Gran Sasso Science Institute, L'Aquila I-67100, Italy
| | - A Giachero
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - A Gianvecchio
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - L Gironi
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - A Giuliani
- Universit Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - P Gorla
- INFN-Laboratori Nazionali del Gran Sasso, Assergi (L'Aquila) I-67100, Italy
| | - C Gotti
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
| | - T D Gutierrez
- Physics Department, California Polytechnic State University, San Luis Obispo, California 93407, USA
| | - K Han
- INPAC and School of Physics and Astronomy, Shanghai Jiao Tong University; Shanghai Laboratory for Particle Physics and Cosmology, Shanghai 200240, China
| | - E V Hansen
- Department of Physics, University of California, Berkeley, California 94720, USA
| | - K M Heeger
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - R G Huang
- Department of Physics, University of California, Berkeley, California 94720, USA
| | - H Z Huang
- Department of Physics and Astronomy, University of California, Los Angeles, California 90095, USA
| | - J Johnston
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - G Keppel
- INFN-Laboratori Nazionali di Legnaro, Legnaro (Padova) I-35020, Italy
| | - Yu G Kolomensky
- Department of Physics, University of California, Berkeley, California 94720, USA
- Nuclear Science Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - R Kowalski
- Department of Physics and Astronomy, The Johns Hopkins University, 3400 North Charles Street Baltimore, Maryland 21211, USA
| | - R Liu
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - L Ma
- Department of Physics and Astronomy, University of California, Los Angeles, California 90095, USA
| | - Y G Ma
- Key Laboratory of Nuclear Physics and Ion-beam Application (MOE), Institute of Modern Physics, Fudan University, Shanghai 200433, China
| | - L Marini
- INFN-Laboratori Nazionali del Gran Sasso, Assergi (L'Aquila) I-67100, Italy
- Gran Sasso Science Institute, L'Aquila I-67100, Italy
| | - R H Maruyama
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - D Mayer
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - Y Mei
- Nuclear Science Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - S Morganti
- INFN-Sezione di Roma, Roma I-00185, Italy
| | - T Napolitano
- INFN-Laboratori Nazionali di Frascati, Frascati (Roma) I-00044, Italy
| | - M Nastasi
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - J Nikkel
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - C Nones
- IRFU, CEA, Universit Paris-Saclay, F-91191 Gif-sur-Yvette, France
| | - E B Norman
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
- Department of Nuclear Engineering, University of California, Berkeley, California 94720, USA
| | - A Nucciotti
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - I Nutini
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - T O'Donnell
- Center for Neutrino Physics, Virginia Polytechnic Institute and State University, Blacksburg, Virginia 24061, USA
| | - M Olmi
- INFN-Laboratori Nazionali del Gran Sasso, Assergi (L'Aquila) I-67100, Italy
| | - J L Ouellet
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - S Pagan
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - C E Pagliarone
- INFN-Laboratori Nazionali del Gran Sasso, Assergi (L'Aquila) I-67100, Italy
- Dipartimento di Ingegneria Civile e Meccanica, Università degli Studi di Cassino e del Lazio Meridionale, Cassino I-03043, Italy
| | - L Pagnanini
- INFN-Laboratori Nazionali del Gran Sasso, Assergi (L'Aquila) I-67100, Italy
| | - M Pallavicini
- INFN-Sezione di Genova, Genova I-16146, Italy
- Dipartimento di Fisica, Università di Genova, Genova I-16146, Italy
| | - L Pattavina
- INFN-Laboratori Nazionali del Gran Sasso, Assergi (L'Aquila) I-67100, Italy
| | - M Pavan
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - G Pessina
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
| | | | - C Pira
- INFN-Laboratori Nazionali di Legnaro, Legnaro (Padova) I-35020, Italy
| | - S Pirro
- INFN-Laboratori Nazionali del Gran Sasso, Assergi (L'Aquila) I-67100, Italy
| | - S Pozzi
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - E Previtali
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - A Puiu
- INFN-Laboratori Nazionali del Gran Sasso, Assergi (L'Aquila) I-67100, Italy
- Gran Sasso Science Institute, L'Aquila I-67100, Italy
| | - S Quitadamo
- INFN-Laboratori Nazionali del Gran Sasso, Assergi (L'Aquila) I-67100, Italy
- Gran Sasso Science Institute, L'Aquila I-67100, Italy
| | - A Ressa
- Dipartimento di Fisica, Sapienza Università di Roma, Roma I-00185, Italy
- INFN-Sezione di Roma, Roma I-00185, Italy
| | - C Rosenfeld
- Department of Physics and Astronomy, University of South Carolina, Columbia, South Carolina 29208, USA
| | - S Sangiorgio
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
| | - B Schmidt
- Nuclear Science Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - N D Scielzo
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
| | - V Sharma
- Center for Neutrino Physics, Virginia Polytechnic Institute and State University, Blacksburg, Virginia 24061, USA
| | - V Singh
- Department of Physics, University of California, Berkeley, California 94720, USA
| | - M Sisti
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
| | - D Speller
- Department of Physics and Astronomy, The Johns Hopkins University, 3400 North Charles Street Baltimore, Maryland 21211, USA
| | - P T Surukuchi
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | | | - F Terranova
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - C Tomei
- INFN-Sezione di Roma, Roma I-00185, Italy
| | - K J Vetter
- Department of Physics, University of California, Berkeley, California 94720, USA
- Nuclear Science Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - M Vignati
- Dipartimento di Fisica, Sapienza Università di Roma, Roma I-00185, Italy
- INFN-Sezione di Roma, Roma I-00185, Italy
| | - S L Wagaarachchi
- Department of Physics, University of California, Berkeley, California 94720, USA
- Nuclear Science Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - B S Wang
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
- Department of Nuclear Engineering, University of California, Berkeley, California 94720, USA
| | - B Welliver
- Department of Physics, University of California, Berkeley, California 94720, USA
- Nuclear Science Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - J Wilson
- Department of Physics and Astronomy, University of South Carolina, Columbia, South Carolina 29208, USA
| | - K Wilson
- Department of Physics and Astronomy, University of South Carolina, Columbia, South Carolina 29208, USA
| | - L A Winslow
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - S Zimmermann
- Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - S Zucchelli
- INFN-Sezione di Bologna, Bologna I-40127, Italy
- Dipartimento di Fisica e Astronomia, Alma Mater Studiorum-Università di Bologna, Bologna I-40127, Italy
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Wilson K, Dusek R, Gammon G. 374P NX-019, a brain penetrant, mutation selective EGFR inhibitor with broad mutant EGFR activity. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.10.412] [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: 12/07/2022] Open
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Ridgeon E, Wilson K, Wilkinson D, Douglass P, Elrefaey A. Defining complexity in anaesthesia: description and validation of the Oxford Anaesthetic Complexity (OxAnCo) score. Anaesthesia 2022; 77:1251-1258. [PMID: 35974666 DOI: 10.1111/anae.15840] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/14/2022] [Indexed: 01/07/2023]
Abstract
Increasing demand for surgery and anaesthesia has created an imperative to manage anaesthetic workforce and caseload. This may include changes to distribution of cases amongst anaesthetists of different grades, including non-physician anaesthetists. To achieve this safely, an assessment of case complexity is essential. We present a novel system for scoring complexity of cases in anaesthesia, the Oxford Anaesthetic Complexity score. This integrates patient, anaesthetic, surgical and systems factors, and is different from assessments of risk. We adopted an end-user development approach to the design of the score, and validated it using a dataset of anaesthetic cases. Across 688 cases, the median (IQR [range]) complexity score was 19 (17-22 [15-33]). Cases requiring a consultant anaesthetist had a significantly higher median (IQR [range]) score than those requiring a senior trainee at 22 (20-25 [15-33]) vs. 19(17-21 [15-28]), p < 0.001. Cases undertaken in a tertiary acute hospital had a significantly higher score than those in a district general hospital, the median (IQR [range]) scores being 20 (17-22 [15-33]) vs. 17 (16-19 [17-28]), p < 0.001. Receiver-operating characteristic analysis showed good prediction of complexity sufficient to require a consultant anaesthetist, with area under the curve of 0.84. Any rise in complexity above baseline (score > 15) was strongly predictive of a case too complex for a junior trainee (positive predictive value 0.93). The Oxford Anaesthetic Complexity score can be used to match cases to different grades of anaesthetist, and can help in defining cases appropriate for the expanding non-physician anaesthetist workforce.
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Affiliation(s)
- E Ridgeon
- Nuffield Department of Anaesthesia, Oxford University Hospitals NHS Trust, Oxford, UK
| | - K Wilson
- Nuffield Department of Anaesthesia, Oxford University Hospitals NHS Trust, Oxford, UK
| | - D Wilkinson
- Department of Anaesthesia, Royal Berkshire Hospital, Reading, UK
| | - P Douglass
- Nuffield Department of Anaesthesia, Oxford University Hospitals NHS Trust, Oxford, UK
| | - A Elrefaey
- Nuffield Department of Anaesthesia, Oxford University Hospitals NHS Trust, Oxford, UK
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Hall A, Blind F, Wilson K. 18b Comparative Safety and Efficacy of a Hybrid Intravenous and Oral Diltiazem Protocol for Acute Rate Control in the Emergency Department. Ann Emerg Med 2022. [DOI: 10.1016/j.annemergmed.2022.08.041] [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: 11/30/2022]
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Tsuang D, DeGraff C, Payne S, Jankowski A, Brown K, Wilson K, Shutes-David A. Remote assessment of cognitive aging and mental health in older Black Americans. The American Journal of Geriatric Psychiatry 2022. [DOI: 10.1016/j.jagp.2022.01.056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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McLarnon SR, Wilson K, Patel B, Sun J, Sartain CL, Mejias CD, Musall JB, Sullivan JC, Wei Q, Chen JK, Hyndman KA, Marshall B, Yang H, Fogo AB, O’Connor PM. Lipopolysaccharide Pretreatment Prevents Medullary Vascular Congestion following Renal Ischemia by Limiting Early Reperfusion of the Medullary Circulation. J Am Soc Nephrol 2022; 33:769-785. [PMID: 35115326 PMCID: PMC8970460 DOI: 10.1681/asn.2021081089] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [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: 08/13/2021] [Accepted: 01/16/2022] [Indexed: 11/03/2022] Open
Abstract
BACKGROUND Vascular congestion of the renal medulla-trapped red blood cells in the medullary microvasculature-is a hallmark finding at autopsy in patients with ischemic acute tubular necrosis. Despite this, the pathogenesis of vascular congestion is not well defined. METHODS In this study, to investigate the pathogenesis of vascular congestion and its role in promoting renal injury, we assessed renal vascular congestion and tubular injury after ischemia reperfusion in rats pretreated with low-dose LPS or saline (control). We used laser Doppler flowmetry to determine whether pretreatment with low-dose LPS prevented vascular congestion by altering renal hemodynamics during reperfusion. RESULTS We found that vascular congestion originated during the ischemic period in the renal venous circulation. In control animals, the return of blood flow was followed by the development of congestion in the capillary plexus of the outer medulla and severe tubular injury early in reperfusion. Laser Doppler flowmetry indicated that blood flow returned rapidly to the medulla, several minutes before recovery of full cortical perfusion. In contrast, LPS pretreatment prevented both the formation of medullary congestion and its associated tubular injury. Laser Doppler flowmetry in LPS-pretreated rats suggested that limiting early reperfusion of the medulla facilitated this protective effect, because it allowed cortical perfusion to recover and clear congestion from the large cortical veins, which also drain the medulla. CONCLUSIONS Blockage of the renal venous vessels and a mismatch in the timing of cortical and medullary reperfusion results in congestion of the outer medulla's capillary plexus and promotes early tubular injury after renal ischemia. These findings indicate that hemodynamics during reperfusion contribute to the renal medulla's susceptibility to ischemic injury.
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Affiliation(s)
- Sarah R. McLarnon
- Department of Physiology, Medical College of Georgia at Augusta University, Augusta, Georgia
| | - Katie Wilson
- Department of Physiology, Medical College of Georgia at Augusta University, Augusta, Georgia
| | - Bansari Patel
- Department of Physiology, Medical College of Georgia at Augusta University, Augusta, Georgia
| | - Jingping Sun
- Department of Physiology, Medical College of Georgia at Augusta University, Augusta, Georgia
| | - Christina L. Sartain
- Department of Physiology, Medical College of Georgia at Augusta University, Augusta, Georgia
| | - Christopher D. Mejias
- Department of Physiology, Medical College of Georgia at Augusta University, Augusta, Georgia
| | - Jacqueline B. Musall
- Department of Physiology, Medical College of Georgia at Augusta University, Augusta, Georgia
| | - Jennifer C. Sullivan
- Department of Physiology, Medical College of Georgia at Augusta University, Augusta, Georgia
| | - Qingqing Wei
- Department of Cell Biology and Anatomy, Medical College of Georgia at Augusta University, Augusta, Georgia
| | - Jian-Kang Chen
- Department of Cell Biology and Anatomy, Medical College of Georgia at Augusta University, Augusta, Georgia
| | - Kelly A. Hyndman
- Cardio-Renal Physiology and Medicine, Division of Nephrology, Department of Medicine, University of Alabama at Birmingham, Birmingham, Alabama
| | - Brendan Marshall
- Department of Cell Biology and Anatomy, Medical College of Georgia at Augusta University, Augusta, Georgia
| | - Haichun Yang
- Department of Pathology, Microbiology and Immunology, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Agnes B. Fogo
- Department of Pathology, Microbiology and Immunology, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Paul M. O’Connor
- Department of Physiology, Medical College of Georgia at Augusta University, Augusta, Georgia
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Mercieca-Bebber R, Barnes EH, Wilson K, Samoon Z, Walpole E, Mai T, Ackland S, Burge M, Dickie G, Watson D, Leung J, Wang T, Bohmer R, Cameron D, Simes J, Gebski V, Smithers M, Thomas J, Zalcberg J, Barbour AP. Patient-reported outcome (PRO) results from the AGITG DOCTOR trial: a randomised phase 2 trial of tailored neoadjuvant therapy for resectable oesophageal adenocarcinoma. BMC Cancer 2022; 22:276. [PMID: 35291965 PMCID: PMC8922838 DOI: 10.1186/s12885-022-09270-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2021] [Accepted: 02/07/2022] [Indexed: 11/12/2022] Open
Abstract
Background AGITG DOCTOR was a randomised phase 2 trial of pre-operative cisplatin, 5 fluorouracil (CF) followed by docetaxel (D) with or without radiotherapy (RT) based on poor early response to CF, detected via PET, for resectable oesophageal adenocarcinoma. This study describes PROs over 2 years. Methods Participants (N = 116) completed the EORTC QLQ-C30 and oesophageal module (QLQ-OES18) before chemotherapy (baseline), before surgery, six and 12 weeks post-surgery and three-monthly until 2 years. We plotted PROs over time and calculated the percentage of participants per treatment group whose post-surgery score was within 10 points (threshold for clinically relevant change) of their baseline score, for each PRO scale. We examined the relationship between Grade 3+ adverse events (AEs) and PROs. This analysis included four groups: CF responders, non-responders randomised to DCF, non-responders randomised to DCF + RT, and “others” who were not randomised. Results Global QOL was clinically similar between groups from 6 weeks post-surgery. All groups had poorer functional and higher symptom scores during active treatment and shortly after surgery, particularly the DCF and DCF + RT groups. DCF + RT reported a clinically significant difference (−13points) in mean overall health/QOL between baseline and pre-surgery. Similar proportions of patients across groups scored +/− 10 points of baseline scores within 2 years for most PRO domains. Instance of grade 3+ AEs were not related to PROs at baseline or 2 years. Conclusions By 2 years, similar proportions of patients scored within 10 points of baseline for most PRO domains, with the exception of pain and insomnia for the DCF + RT group. Non-responders randomised to DCF or DCF + RT experienced additional short-term burden compared to CF responders, reflecting the longer duration of neoadjuvant treatment and additional toxicity. This should be weighed against clinical benefits reported in AGITG DOCTOR. This data will inform communication of the trajectory of treatment options for early CF non-responders. Trial registration Australia New Zealand Clinical Trials Registry (ANZCTR), ACTRN12609000665235. Registered 31 July 2009. Supplementary Information The online version contains supplementary material available at 10.1186/s12885-022-09270-4.
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Affiliation(s)
- R Mercieca-Bebber
- National Health and Medical Research Council (NHMRC) Clinical Trials Centre, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
| | - E H Barnes
- National Health and Medical Research Council (NHMRC) Clinical Trials Centre, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
| | - K Wilson
- National Health and Medical Research Council (NHMRC) Clinical Trials Centre, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
| | - Z Samoon
- National Health and Medical Research Council (NHMRC) Clinical Trials Centre, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
| | - E Walpole
- Division of Cancer Services, Princess Alexandra Hospital, Woolloongabba, Qld, Australia.,School of Clinical Medicine, University of Queensland, Brisbane, Qld, Australia
| | - T Mai
- Faculty of Medicine, The University of Queensland, Brisbane, Qld, Australia
| | - S Ackland
- School of Medicine and Public Health, University of Newcastle, Newcastle, NSW, Australia
| | - M Burge
- Faculty of Medicine, The University of Queensland, Brisbane, Qld, Australia.,Cancer Care Services, Royal Brisbane and Women's Hospital, Brisbane, Qld, Australia
| | - G Dickie
- Cancer Care Services, Royal Brisbane and Women's Hospital, Brisbane, Qld, Australia
| | - D Watson
- Discipline of Surgery, College of Medicine and Public Health, Flinders University, Adelaide, South Australia
| | - J Leung
- GenesisCare St Andrew's Hospital, 352 South Terrace, Adelaide, SA, Australia
| | - T Wang
- Crown Princess Mary Cancer Center, Westmead hospital; Faculty of Medicine and Health, University of Sydney, Sydney, Australia
| | - R Bohmer
- Hobart Private Hospital, Ground Floor- Suite 6 Corner Argyle & Collins Streets, Hobart, Tasmania, Australia
| | - D Cameron
- Townsville University Hospital, Townsville, Qld, Australia
| | - J Simes
- National Health and Medical Research Council (NHMRC) Clinical Trials Centre, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
| | - V Gebski
- National Health and Medical Research Council (NHMRC) Clinical Trials Centre, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
| | - M Smithers
- Faculty of Medicine, The University of Queensland, Brisbane, Qld, Australia.,Divisions of Surgery and Cancer Services, Princess Alexandra Hospital, Woolloongabba, Australia
| | - J Thomas
- GIAST Clinic Mater Medical Centre South Brisbane, Brisbane, Australia
| | - J Zalcberg
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - A P Barbour
- Division of Cancer Services, Princess Alexandra Hospital, Woolloongabba, Qld, Australia. .,Faculty of Medicine, The University of Queensland, Brisbane, Qld, Australia.
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Lopes LR, Losi MA, Sheikh N, Laroche C, Charron P, Gimeno J, Kaski JP, Maggioni AP, Tavazzi L, Arbustini E, Brito D, Celutkiene J, Hagege A, Linhart A, Mogensen J, Garcia-Pinilla JM, Ripoll-Vera T, Seggewiss H, Villacorta E, Caforio A, Elliott PM, Beleslin B, Budaj A, Chioncel O, Dagres N, Danchin N, Erlinge D, Emberson J, Glikson M, Gray A, Kayikcioglu M, Maggioni A, Nagy KV, Nedoshivin A, Petronio AS, Hesselink JR, Wallentin L, Zeymer U, Caforio A, Blanes JRG, Charron P, Elliott P, Kaski JP, Maggioni AP, Tavazzi L, Tendera M, Komissarova S, Chakova N, Niyazova S, Linhart A, Kuchynka P, Palecek T, Podzimkova J, Fikrle M, Nemecek E, Bundgaard H, Tfelt-Hansen J, Theilade J, Thune JJ, Axelsson A, Mogensen J, Henriksen F, Hey T, Nielsen SK, Videbaek L, Andreasen S, Arnsted H, Saad A, Ali M, Lommi J, Helio T, Nieminen MS, Dubourg O, Mansencal N, Arslan M, Tsieu VS, Damy T, Guellich A, Guendouz S, Tissot CM, Lamine A, Rappeneau S, Hagege A, Desnos M, Bachet A, Hamzaoui M, Charron P, Isnard R, Legrand L, Maupain C, Gandjbakhch E, Kerneis M, Pruny JF, Bauer A, Pfeiffer B, Felix SB, Dorr M, Kaczmarek S, Lehnert K, Pedersen AL, Beug D, Bruder M, Böhm M, Kindermann I, Linicus Y, Werner C, Neurath B, Schild-Ungerbuehler M, Seggewiss H, Pfeiffer B, Neugebauer A, McKeown P, Muir A, McOsker J, Jardine T, Divine G, Elliott P, Lorenzini M, Watkinson O, Wicks E, Iqbal H, Mohiddin S, O'Mahony C, Sekri N, Carr-White G, Bueser T, Rajani R, Clack L, Damm J, Jones S, Sanchez-Vidal R, Smith M, Walters T, Wilson K, Rosmini S, Anastasakis A, Ritsatos K, Vlagkouli V, Forster T, Sepp R, Borbas J, Nagy V, Tringer A, Kakonyi K, Szabo LA, Maleki M, Bezanjani FN, Amin A, Naderi N, Parsaee M, Taghavi S, Ghadrdoost B, Jafari S, Khoshavi M, Rapezzi C, Biagini E, Corsini A, Gagliardi C, Graziosi M, Longhi S, Milandri A, Ragni L, Palmieri S, Olivotto I, Arretini A, Castelli G, Cecchi F, Fornaro A, Tomberli B, Spirito P, Devoto E, Bella PD, Maccabelli G, Sala S, Guarracini F, Peretto G, Russo MG, Calabro R, Pacileo G, Limongelli G, Masarone D, Pazzanese V, Rea A, Rubino M, Tramonte S, Valente F, Caiazza M, Cirillo A, Del Giorno G, Esposito A, Gravino R, Marrazzo T, Trimarco B, Losi MA, Di Nardo C, Giamundo A, Musella F, Pacelli F, Scatteia A, Canciello G, Caforio A, Iliceto S, Calore C, Leoni L, Marra MP, Rigato I, Tarantini G, Schiavo A, Testolina M, Arbustini E, Di Toro A, Giuliani LP, Serio A, Fedele F, Frustaci A, Alfarano M, Chimenti C, Drago F, Baban A, Calò L, Lanzillo C, Martino A, Uguccioni M, Zachara E, Halasz G, Re F, Sinagra G, Carriere C, Merlo M, Ramani F, Kavoliuniene A, Krivickiene A, Tamuleviciute-Prasciene E, Viezelis M, Celutkiene J, Balkeviciene L, Laukyte M, Paleviciute E, Pinto Y, Wilde A, Asselbergs FW, Sammani A, Van Der Heijden J, Van Laake L, De Jonge N, Hassink R, Kirkels JH, Ajuluchukwu J, Olusegun-Joseph A, Ekure E, Mizia-Stec K, Tendera M, Czekaj A, Sikora-Puz A, Skoczynska A, Wybraniec M, Rubis P, Dziewiecka E, Wisniowska-Smialek S, Bilinska Z, Chmielewski P, Foss-Nieradko B, Michalak E, Stepien-Wojno M, Mazek B, Lopes LR, Almeida AR, Cruz I, Gomes AC, Pereira AR, Brito D, Madeira H, Francisco AR, Menezes M, Moldovan O, Guimaraes TO, Silva D, Ginghina C, Jurcut R, Mursa A, Popescu BA, Apetrei E, Militaru S, Coman IM, Frigy A, Fogarasi Z, Kocsis I, Szabo IA, Fehervari L, Nikitin I, Resnik E, Komissarova M, Lazarev V, Shebzukhova M, Ustyuzhanin D, Blagova O, Alieva I, Kulikova V, Lutokhina Y, Pavlenko E, Varionchik N, Ristic AD, Seferovic PM, Veljic I, Zivkovic I, Milinkovic I, Pavlovic A, Radovanovic G, Simeunovic D, Zdravkovic M, Aleksic M, Djokic J, Hinic S, Klasnja S, Mircetic K, Monserrat L, Fernandez X, Garcia-Giustiniani D, Larrañaga JM, Ortiz-Genga M, Barriales-Villa R, Martinez-Veira C, Veira E, Cequier A, Salazar-Mendiguchia J, Manito N, Gonzalez J, Fernández-Avilés F, Medrano C, Yotti R, Cuenca S, Espinosa MA, Mendez I, Zatarain E, Alvarez R, Pavia PG, Briceno A, Cobo-Marcos M, Dominguez F, Galvan EDT, Pinilla JMG, Abdeselam-Mohamed N, Lopez-Garrido MA, Hidalgo LM, Ortega-Jimenez MV, Mezcua AR, Guijarro-Contreras A, Gomez-Garcia D, Robles-Mezcua M, Blanes JRG, Castro FJ, Esparza CM, Molina MS, García MS, Cuenca DL, de Mallorca P, Ripoll-Vera T, Alvarez J, Nunez J, Gomez Y, Fernandez PLS, Villacorta E, Avila C, Bravo L, Diaz-Pelaez E, Gallego-Delgado M, Garcia-Cuenllas L, Plata B, Lopez-Haldon JE, Pena Pena ML, Perez EMC, Zorio E, Arnau MA, Sanz J, Marques-Sule E. Association between common cardiovascular risk factors and clinical phenotype in patients with hypertrophic cardiomyopathy from the European Society of Cardiology (ESC) EurObservational Research Programme (EORP) Cardiomyopathy/Myocarditis registry. Eur Heart J Qual Care Clin Outcomes 2022; 9:42-53. [PMID: 35138368 PMCID: PMC9745665 DOI: 10.1093/ehjqcco/qcac006] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/04/2022] [Revised: 02/02/2022] [Accepted: 02/04/2022] [Indexed: 12/15/2022]
Abstract
AIMS The interaction between common cardiovascular risk factors (CVRF) and hypertrophic cardiomyopathy (HCM) is poorly studied. We sought to explore the relation between CVRF and the clinical characteristics of patients with HCM enrolled in the EURObservational Research Programme (EORP) Cardiomyopathy registry. METHODS AND RESULTS 1739 patients with HCM were studied. The relation between hypertension (HT), diabetes (DM), body mass index (BMI), and clinical traits was analysed. Analyses were stratified according to the presence or absence of a pathogenic variant in a sarcomere gene. The prevalence of HT, DM, and obesity (Ob) was 37, 10, and 21%, respectively. HT, DM, and Ob were associated with older age (P<0.001), less family history of HCM (HT and DM P<0.001), higher New York Heart Association (NYHA) class (P<0.001), atrial fibrillation (HT and DM P<0.001; Ob p = 0.03) and LV (left ventricular) diastolic dysfunction (HT and Ob P<0.001; DM P = 0.003). Stroke was more frequent in HT (P<0.001) and mutation-positive patients with DM (P = 0.02). HT and Ob were associated with higher provocable LV outflow tract gradients (HT P<0.001, Ob P = 0.036). LV hypertrophy was more severe in Ob (P = 0.018). HT and Ob were independently associated with NYHA class (OR 1.419, P = 0.017 and OR 1.584, P = 0.004, respectively). Other associations, including a higher proportion of females in HT and of systolic dysfunction in HT and Ob, were observed only in mutation-positive patients. CONCLUSION Common CVRF are associated with a more severe HCM phenotype, suggesting a proactive management of CVRF should be promoted. An interaction between genotype and CVRF was observed for some traits.
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Affiliation(s)
- Luis R Lopes
- Corresponding author. Tel: +447765109343, , Twitter handle: @LuisRLopesDr
| | - Maria-Angela Losi
- Department of Advanced Biomedical Sciences, University Federico II, Corso Umberto I, 40, Naples 80138, Italy
| | - Nabeel Sheikh
- Department of Cardiology and Division of Cardiovascular Sciences, Guy's and St. Thomas’ Hospitals and King's College London, Strand, London WC2R 2LS, UK
| | - Cécile Laroche
- EORP, European Society of Cardiology, Sophia-Antipolis, France
| | | | | | - Juan P Kaski
- Institute of Cardiovascular Science, University College London, Gower St, London WC1E 6BT, UK,Centre for Inherited Cardiovascular Diseases, Great Ormond Street Hospital, London WC1N 3JH, UK
| | - Aldo P Maggioni
- EORP, European Society of Cardiology, Sophia-Antipolis, France,Maria Cecilia Hospital, GVM Care&Research, Via Corriera, 1, Cotignola 48033 RA, Italy
| | - Luigi Tavazzi
- Maria Cecilia Hospital, GVM Care&Research, Via Corriera, 1, Cotignola 48033 RA, Italy
| | | | - Dulce Brito
- Serviço de Cardiologia, Centro Hospitalar Universitário Lisboa Norte, Lisbon 1169-050, Portugal,CCUL, Faculdade de Medicina, Universidade de Lisboa, Av. Prof. Egas Moniz MB, Lisbon 1649-028, Portugal
| | - Jelena Celutkiene
- Clinic of Cardiac and Vascular Diseases, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, Universiteto g. 3, Vilnius 01513, Lithuania,State Research Institute Centre for Innovative Medicine, Vilnius, Lithuania
| | | | - Ales Linhart
- 2nd Department of Internal Cardiovascular Medicine, General University Hospital and First Medical Faculty, Charles University, Opletalova 38, Prague 110 00, Czech Republic
| | - Jens Mogensen
- Department of Cardiology, Odense University Hospital, J. B. Winsløws Vej 4, Odense 5000, Denmark
| | - José Manuel Garcia-Pinilla
- Unidad de Insuficiencia Cardiaca y Cardiopatías Familiares. Servicio de Cardiología. Hospital Universitario Virgen de la Victoria. IBIMA. Málaga and Ciber-Cardiovascular. Instituto de Salud Carlos III. Madrid, Spain
| | - Tomas Ripoll-Vera
- Inherited Cardiovascular Disease Unit Son Llatzer University Hospital & IdISBa, Palma de Mallorca, Spain
| | - Hubert Seggewiss
- Universitätsklinikum Würzburg, Deutsches Zentrum für Herzinsuffizienz (DZHI), Comprehensive Heart Failure Center (CHFC), Am Schwarzenberg 15, Haus 15A, 97078 Wurzburg, Germany
| | - Eduardo Villacorta
- Member of National Centers of expertise for familial cardiopathies (CSUR), Cardiology Department, University Hospital of Salamanca. Institute of Biomedical Research of Salamanca (IBSAL), CIBERCV, Salamanca, Spain
| | | | - Perry M Elliott
- Institute of Cardiovascular Science, University College London, Gower St, London WC1E 6BT, UK,St. Bartholomew's Hospital, Barts Heart Centre, Barts Health NHS Trust, Whitechapel Rd, London E1 1BB, UK
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Wilson K, Fourtounas M, Anamourlis C. A comparison of the warming capabilities of two Baragwanath rewarming appliances with the Hotline fluid warming device. South Afr J Crit Care 2022; 38:10.7196/SAJCC.2022.v38i3.549. [PMID: 36936729 PMCID: PMC10016232 DOI: 10.7196/sajcc.2022.v38i3.549] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/11/2022] [Indexed: 11/23/2022] Open
Abstract
Background Accidental intraoperative hypothermia is a common and avoidable adverse event of the perioperative period and is associated with detrimental effects on multiple organ systems and postoperative patient outcomes. In a resource-limited environment, prevention of intraoperative hypothermia is often challenging. Resourceful clinicians overcome these challenges through creative devices and frugal innovations. Objectives To investigate the thermal performance of two Baragwanath Rewarming Appliances (BaRA) against that of the Hotline device to describe an optimal setup for these devices. Methods This was a quasi-experimental laboratory study that measured the thermal performance of two BaRA devices and the Hotline device under a number of scenarios. Independent variables including fluid type, flow rate, warming temperature and warming transit distance were sequentially altered and temperatures measured along the fluid stream. Change in temperature (ΔT) was calculated as the difference between entry and exit temperature for each combination of variables for each warming device. Results A total of 219 experiments were performed. At a temperature of 43.0°C and a transit distance of 200 cm, the BaRA A configuration either matched or exceeded the ΔT of the Hotline over all fluid type and flowrate combinations. The BaRA B configuration does not provide comparable thermal performance to the Hotline. Measured flowrates were noticeably slower than manufacturer-quoted values for all intravenous (IV) cannulae used. Conclusion A warm-water bath at 43.0°C with 200 cm of submerged IV tubing provides thermal performance comparable to the Hotline device, with all fluid type and flowrate combinations. Contributions of the study The present study provides an evidence-based method for warming intravenous fluid in resource-limited scenarios.
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Affiliation(s)
- K Wilson
- Department of Anaesthesiology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - M Fourtounas
- Department of Anaesthesiology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - C Anamourlis
- Department of Anaesthesiology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
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Yee LM, McGee P, Bailit JL, Wapner RJ, Varner MW, Thorp JM, Caritis SN, Prasad M, Tita AT, Saade GR, Sorokin Y, Rouse DJ, Blackwell SC, Tolosa JE, Mallett G, Grobman W, Ramos-Brinson M, Roy A, Stein L, Campbell P, Collins C, Jackson N, Dinsmoor M, Senka J, Paychek K, Peaceman A, Talucci M, Zylfijaj M, Reid Z, Leed R, Benson J, Forester S, Kitto C, Davis S, Falk M, Perez C, Hill K, Sowles A, Postma J, Alexander S, Andersen G, Scott V, Morby V, Jolley K, Miller J, Berg B, Dorman K, Mitchell J, Kaluta E, Clark K, Spicer K, Timlin S, Wilson K, Moseley L, Leveno K, Santillan M, Price J, Buentipo K, Bludau V, Thomas T, Fay L, Melton C, Kingsbery J, Benezue R, Simhan H, Bickus M, Fischer D, Kamon T, DeAngelis D, Mercer B, Milluzzi C, Dalton W, Dotson T, McDonald P, Brezine C, McGrail A, Latimer C, Guzzo L, Johnson F, Gerwig L, Fyffe S, Loux D, Frantz S, Cline D, Wylie S, Iams J, Wallace M, Northen A, Grant J, Colquitt C, Rouse D, Andrews W, Moss J, Salazar A, Acosta A, Hankins G, Hauff N, Palmer L, Lockhart P, Driscoll D, Wynn L, Sudz C, Dengate D, Girard C, Field S, Breault P, Smith F, Annunziata N, Allard D, Silva J, Gamage M, Hunt J, Tillinghast J, Corcoran N, Jimenez M, Ortiz F, Givens P, Rech B, Moran C, Hutchinson M, Spears Z, Carreno C, Heaps B, Zamora G, Seguin J, Rincon M, Snyder J, Farrar C, Lairson E, Bonino C, Smith W, Beach K, Van Dyke S, Butcher S, Thom E, Rice M, Zhao Y, Momirova V, Palugod R, Reamer B, Larsen M, Spong C, Tolivaisa S, VanDorsten J. Differences in obstetrical care and outcomes associated with the proportion of the obstetrician's shift completed. Am J Obstet Gynecol 2021; 225:430.e1-430.e11. [PMID: 33812810 DOI: 10.1016/j.ajog.2021.03.033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2021] [Revised: 03/14/2021] [Accepted: 03/26/2021] [Indexed: 10/21/2022]
Abstract
BACKGROUND Understanding and improving obstetrical quality and safety is an important goal of professional societies, and many interventions such as checklists, safety bundles, educational interventions, or other culture changes have been implemented to improve the quality of care provided to obstetrical patients. Although many factors contribute to delivery decisions, a reduced workload has addressed how provider issues such as fatigue or behaviors surrounding impending shift changes may influence the delivery mode and outcomes. OBJECTIVE The objective was to assess whether intrapartum obstetrical interventions and adverse outcomes differ based on the temporal proximity of the delivery to the attending's shift change. STUDY DESIGN This was a secondary analysis from a multicenter obstetrical cohort in which all patients with cephalic, singleton gestations who attempted vaginal birth were eligible for inclusion. The primary exposure used to quantify the relationship between the proximity of the provider to their shift change and a delivery intervention was the ratio of time from the most recent attending shift change to vaginal delivery or decision for cesarean delivery to the total length of the shift. Ratios were used to represent the proportion of time completed in the shift by normalizing for varying shift lengths. A sensitivity analysis restricted to patients who were delivered by physicians working 12-hour shifts was performed. Outcomes chosen included cesarean delivery, episiotomy, third- or fourth-degree perineal laceration, 5-minute Apgar score of <4, and neonatal intensive care unit admission. Chi-squared tests were used to evaluate outcomes based on the proportion of the attending's shift completed. Adjusted and unadjusted logistic models fitting a cubic spline (when indicated) were used to determine whether the frequency of outcomes throughout the shift occurred in a statistically significant, nonlinear pattern RESULTS: Of the 82,851 patients eligible for inclusion, 47,262 (57%) had ratio data available and constituted the analyzable sample. Deliveries were evenly distributed throughout shifts, with 50.6% taking place in the first half of shifts. There were no statistically significant differences in the frequency of cesarean delivery, episiotomy, third- or fourth-degree perineal lacerations, or 5-minute Apgar scores of <4 based on the proportion of the shift completed. The findings were unchanged when evaluated with a cubic spline in unadjusted and adjusted logistic models. Sensitivity analyses performed on the 22.2% of patients who were delivered by a physician completing a 12-hour shift showed similar findings. There was a small increase in the frequency of neonatal intensive care unit admissions with a greater proportion of the shift completed (adjusted P=.009), but the findings did not persist in the sensitivity analysis. CONCLUSION Clinically significant differences in obstetrical interventions and outcomes do not seem to exist based on the temporal proximity to the attending physician's shift change. Future work should attempt to directly study unit culture and provider fatigue to further investigate opportunities to improve obstetrical quality of care, and additional studies are needed to corroborate these findings in community settings.
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Kenney EL, Dunn CG, Mozaffarian RS, Dai J, Wilson K, West J, Shen Y, Fleischhacker S, Bleich SN. Feeding Children and Maintaining Food Service Operations during COVID-19: A Mixed Methods Investigation of Implementation and Financial Challenges. Nutrients 2021; 13:nu13082691. [PMID: 34444851 PMCID: PMC8401539 DOI: 10.3390/nu13082691] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [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] [Subscribe] [Scholar Register] [Received: 07/15/2021] [Revised: 07/28/2021] [Accepted: 07/29/2021] [Indexed: 11/16/2022] Open
Abstract
The United States Department of Agriculture (USDA) National School Lunch and Breakfast Programs are critical for the health and food security of U.S. schoolchildren, but access to these programs was disrupted by COVID-19 pandemic-related school closures in spring 2020. While temporary policy changes to the programs enabled school food authorities (SFAs) to pivot towards distributing meals throughout their communities instead of within school buildings, SFAs faced complex challenges during COVID-19 with minimal external support. This mixed methods study investigates the implementation and financial challenges experienced by twelve of the largest urban SFAs in the U.S. during COVID-19. We conducted semi-structured interviews with SFA leaders and analyzed alongside quantitative financial data. We found that SFAs reconfigured their usual operations with nearly no preparation time while simultaneously trying to keep staff from contracting COVID-19, accommodate stakeholders with sometimes competing priorities, and remain financially solvent. Because student participation was much lower than during regular times, and revenue is tied to the number of meals served, SFAs saw drastic decreases in revenue even as they carried regular operating costs. For future crises, disaster preparedness plans that help SFAs better navigate the switch to financially viable community distribution methods are needed.
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Affiliation(s)
- Erica L. Kenney
- Department of Nutrition, Harvard TH Chan School of Public Health, 665 Huntington Ave, Boston, MA 02115, USA;
- Department of Social and Behavioral Sciences, Harvard TH Chan School of Public Health, 677 Huntington Ave, Boston, MA 02115, USA
- Correspondence: ; Tel.: +1-617-384-8722
| | - Caroline G. Dunn
- Department of Health Policy and Management, Harvard TH Chan School of Public Health, 677 Huntington Ave, Boston, MA 02115, USA; (C.G.D.); (J.D.); (Y.S.); (S.N.B.)
- Health Resources and Services Administration, U.S. Department of Health and Human Services, Washington, DC 20201, USA
| | - Rebecca S. Mozaffarian
- Department of Nutrition, Harvard TH Chan School of Public Health, 665 Huntington Ave, Boston, MA 02115, USA;
| | - Jane Dai
- Department of Health Policy and Management, Harvard TH Chan School of Public Health, 677 Huntington Ave, Boston, MA 02115, USA; (C.G.D.); (J.D.); (Y.S.); (S.N.B.)
| | - Katie Wilson
- Urban School Food Alliance, 1612 K Street NW, Suite 200, Washington, DC 20006, USA; (K.W.); (J.W.)
| | - Jeremy West
- Urban School Food Alliance, 1612 K Street NW, Suite 200, Washington, DC 20006, USA; (K.W.); (J.W.)
| | - Ye Shen
- Department of Health Policy and Management, Harvard TH Chan School of Public Health, 677 Huntington Ave, Boston, MA 02115, USA; (C.G.D.); (J.D.); (Y.S.); (S.N.B.)
| | - Sheila Fleischhacker
- Georgetown University Law Center, 600 New Jersey Ave, NW, Washington, DC 20001, USA;
| | - Sara N. Bleich
- Department of Health Policy and Management, Harvard TH Chan School of Public Health, 677 Huntington Ave, Boston, MA 02115, USA; (C.G.D.); (J.D.); (Y.S.); (S.N.B.)
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Bell LM, Smith R, van de Venter EC, Shuttleworth C, Wilson K, Lycett D. COVID-19 stressors, wellbeing and health behaviours: a cross-sectional study. J Public Health (Oxf) 2021; 43:e453-e461. [PMID: 34195830 DOI: 10.1093/pubmed/fdab241] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2021] [Accepted: 06/08/2021] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND Following the implementation of pandemic response measures, concerns arose regarding the impact for population health and wellbeing. METHODS This study reports findings from a survey (N = 2510) conducted in Warwickshire (UK) during August and September 2020, and for the first time investigates behaviours which may worsen or mitigate the association between COVID-19-related stressors and wellbeing. RESULTS Increased stressors were associated with lower mental wellbeing and higher loneliness. Participants with a mental health condition reported lower wellbeing, as did younger groups, women and participants not in employment. To cope with restrictions, more participants engaged in healthier behaviours over unhealthy behaviours, and relaxing reduced the association between stressors and poor wellbeing. Some participants reported increasing alcohol and unhealthy dietary behaviours to cope with restrictions, however, these behaviours did not mitigate the impact of COVID-19 stressors and were instead negatively associated with wellbeing. Around half of participants helped neighbours during the pandemic, a behaviour positively associated with wellbeing particularly among older adults. CONCLUSION These findings contribute understanding about how various positive and negative health behaviours may mitigate or worsen the impact of COVID-19 on wellbeing, and how public health interventions may effectively target behaviours and groups in similar populations.
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Affiliation(s)
- L M Bell
- Centre for Intelligent Healthcare, Coventry University, Coventry CV1 5FB, UK
| | - R Smith
- Business Intelligence Team, Warwickshire County Council, Warwick CV34 4RL, UK
| | - E C van de Venter
- Public Health Team, Warwickshire County Council, Warwick, CV34 4RL and NHS Coventry & Warwickshire CCG, Warwick CV34 4DE, UK
| | - C Shuttleworth
- Public Health Team, Warwickshire County Council, Warwick, CV34 4RL, UK
| | - K Wilson
- Public Health Team, Warwickshire County Council, Warwick, CV34 4RL, UK
| | - D Lycett
- Centre for Intelligent Healthcare, Coventry University, Coventry CV1 5FB, UK
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Wong D, Malik C, Dembek K, Estell K, Marchitello M, Wilson K. Evaluation of a continuous glucose monitoring system in neonatal foals. J Vet Intern Med 2021; 35:1995-2001. [PMID: 34096103 PMCID: PMC8295665 DOI: 10.1111/jvim.16186] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2020] [Revised: 05/06/2021] [Accepted: 05/18/2021] [Indexed: 02/06/2023] Open
Abstract
Background Monitoring blood glucose concentrations is common in critically ill neonatal foals, especially septic foals and those receiving naso‐esophageal feedings or IV parenteral nutrition. Glucose typically is measured using a point‐of‐care (POC) glucometer but requires repeated restraint and blood collections, which may cause irritation at venipuncture sites and increased demands on nursing staff. Continuous glucose monitoring systems (CGMS) may provide an accurate alternative for monitoring blood glucose concentration. Objectives To determine the correlation and accuracy of a CGMS to monitor neonatal foals' blood glucose concentrations as compared to a POC glucometer and laboratory chemistry analysis (CHEM). Animals Samples from 4 healthy and 4 ill neonatal foals. Methods A CGMS was placed on each foal, and glucose measurements acquired from this device were compared to simultaneous measurements of blood glucose concentration using a POC glucometer and CHEM. Results Two‐hundred matched glucose measurements were collected from 8 neonatal foals. The mean bias (95% limits of agreement) between CGMS and CHEM, CGMS and POC glucometer, and POC glucometer and CHEM was 3.97 mg/dL (−32.5 to 40.4), 18.2 mg/dL (−28.8 to 65.2), and 22.18 mg/dL (−9.3 to 53.67), respectively. The Pearson's correlation coefficient (r) was significantly correlated among all devices: GCMS and CHEM (r = 0.81), CGMS and POC glucometer (r = 0.77) and POC glucometer‐CHEM (r = 0.92). Conclusions and Clinical Importance Within the blood glucose concentration ranges in this study (78‐212 mg/dL), CGMS measurements were significantly correlated with CHEM, suggesting that it is an acceptable method to provide meaningful, immediate, and continuous glucose concentration measurements in neonatal foals while eliminating the need for repeated restraint and blood collection.
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Affiliation(s)
- David Wong
- Virginia Maryland College of Veterinary Medicine, Virginia Tech, Blacksburg, Virginia, USA
| | - Caitlin Malik
- Virginia Maryland College of Veterinary Medicine, Virginia Tech, Blacksburg, Virginia, USA
| | - Katarzyna Dembek
- College of Veterinary Medicine, North Carolina State University, Raleigh, North Carolina, USA
| | - Krista Estell
- Marion duPont Scott Equine Medical Center, Virginia Maryland College of Veterinary Medicine, Virginia Tech, Blacksburg, Virginia, USA
| | - Megan Marchitello
- Marion duPont Scott Equine Medical Center, Virginia Maryland College of Veterinary Medicine, Virginia Tech, Blacksburg, Virginia, USA
| | - Katie Wilson
- Virginia Maryland College of Veterinary Medicine, Virginia Tech, Blacksburg, Virginia, USA
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Huang CKK, Wilson K, Neylon C, Ozaygen A, Montgomery L, Hosking R. Mapping open knowledge institutions: an exploratory analysis of Australian universities. PeerJ 2021; 9:e11391. [PMID: 34026359 PMCID: PMC8121066 DOI: 10.7717/peerj.11391] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2020] [Accepted: 04/12/2021] [Indexed: 11/24/2022] Open
Abstract
While the movement for open research has gained momentum in recent years, there remain concerns about the broader commitment to openness in knowledge production and dissemination. Increasingly, universities are under pressure to transform themselves to engage with the wider community and to be more inclusive. Open knowledge institutions (OKIs) provide a framework that encourages universities to act with the principles of openness at their centre; not only should universities embrace digital open access (OA), but also lead actions in cultivating diversity, equity, transparency and positive changes in society. This leads to questions of whether we can evaluate the progress of OKIs and what are potential indicators for OKIs. As an exploratory study, this article reports on the collection and analysis of a list of potential OKI indicators. Data for these indicators are gathered for 43 Australian universities. The indicators provide high-dimensional and complex signals about university performances. They show evidence of large disparities in characteristics such as Indigenous employment and gender equity, and a preference for repository-mediated OA across Australian universities. We demonstrate use of the OKI evaluation framework to categorise these indicators into three platforms of diversity, communication and coordination. The analysis provides new insights into the Australian open knowledge landscape and ways of mapping different paths of OKIs.
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Affiliation(s)
- Chun-Kai Karl Huang
- Centre for Culture and Technology, Curtin University, Bentley, Western Australia, Australia
| | - Katie Wilson
- Centre for Culture and Technology, Curtin University, Bentley, Western Australia, Australia
| | - Cameron Neylon
- Centre for Culture and Technology, Curtin University, Bentley, Western Australia, Australia.,Curtin Institute for Computation, Curtin University, Bentley, Western Australia, Australia
| | - Alkim Ozaygen
- Centre for Culture and Technology, Curtin University, Bentley, Western Australia, Australia
| | - Lucy Montgomery
- Centre for Culture and Technology, Curtin University, Bentley, Western Australia, Australia.,Curtin Institute for Computation, Curtin University, Bentley, Western Australia, Australia
| | - Richard Hosking
- Centre for Culture and Technology, Curtin University, Bentley, Western Australia, Australia.,Curtin Institute for Computation, Curtin University, Bentley, Western Australia, Australia
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21
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Adams DQ, Alduino C, Alfonso K, Avignone FT, Azzolini O, Bari G, Bellini F, Benato G, Biassoni M, Branca A, Brofferio C, Bucci C, Camilleri J, Caminata A, Campani A, Canonica L, Cao XG, Capelli S, Cappelli L, Cardani L, Carniti P, Casali N, Chiesa D, Clemenza M, Copello S, Cosmelli C, Cremonesi O, Creswick RJ, D'Addabbo A, Dafinei I, Davis CJ, Dell'Oro S, Di Domizio S, Dompè V, Fang DQ, Fantini G, Faverzani M, Ferri E, Ferroni F, Fiorini E, Franceschi MA, Freedman SJ, Fu SH, Fujikawa BK, Giachero A, Gironi L, Giuliani A, Gorla P, Gotti C, Gutierrez TD, Han K, Heeger KM, Huang RG, Huang HZ, Johnston J, Keppel G, Kolomensky YG, Ligi C, Ma L, Ma YG, Marini L, Maruyama RH, Mayer D, Mei Y, Moggi N, Morganti S, Napolitano T, Nastasi M, Nikkel J, Nones C, Norman EB, Nucciotti A, Nutini I, O'Donnell T, Ouellet JL, Pagan S, Pagliarone CE, Pagnanini L, Pallavicini M, Pattavina L, Pavan M, Pessina G, Pettinacci V, Pira C, Pirro S, Pozzi S, Previtali E, Puiu A, Rosenfeld C, Rusconi C, Sakai M, Sangiorgio S, Schmidt B, Scielzo ND, Sharma V, Singh V, Sisti M, Speller D, Surukuchi PT, Taffarello L, Terranova F, Tomei C, Vetter KJ, Vignati M, Wagaarachchi SL, Wang BS, Welliver B, Wilson J, Wilson K, Winslow LA, Zimmermann S, Zucchelli S. Measurement of the 2νββ Decay Half-Life of ^{130}Te with CUORE. Phys Rev Lett 2021; 126:171801. [PMID: 33988435 DOI: 10.1103/physrevlett.126.171801] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/23/2020] [Revised: 03/10/2021] [Accepted: 03/11/2021] [Indexed: 06/12/2023]
Abstract
We measured two-neutrino double beta decay of ^{130}Te using an exposure of 300.7 kg yr accumulated with the CUORE detector. Using a Bayesian analysis to fit simulated spectra to experimental data, it was possible to disentangle all the major background sources and precisely measure the two-neutrino contribution. The half-life is in agreement with past measurements with a strongly reduced uncertainty: T_{1/2}^{2ν}=7.71_{-0.06}^{+0.08}(stat)_{-0.15}^{+0.12}(syst)×10^{20} yr. This measurement is the most precise determination of the ^{130}Te 2νββ decay half-life to date.
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Affiliation(s)
- D Q Adams
- Department of Physics and Astronomy, University of South Carolina, Columbia, South Carolina 29208, USA
| | - C Alduino
- Department of Physics and Astronomy, University of South Carolina, Columbia, South Carolina 29208, USA
| | - K Alfonso
- Department of Physics and Astronomy, University of California, Los Angeles, California 90095, USA
| | - F T Avignone
- Department of Physics and Astronomy, University of South Carolina, Columbia, South Carolina 29208, USA
| | - O Azzolini
- INFN-Laboratori Nazionali di Legnaro, Legnaro (Padova) I-35020, Italy
| | - G Bari
- INFN-Sezione di Bologna, Bologna I-40127, Italy
| | - F Bellini
- Dipartimento di Fisica, Sapienza Università di Roma, Roma I-00185, Italy
- INFN-Sezione di Roma, Roma I-00185, Italy
| | - G Benato
- INFN-Laboratori Nazionali del Gran Sasso, Assergi (L'Aquila) I-67100, Italy
| | - M Biassoni
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
| | - A Branca
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - C Brofferio
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - C Bucci
- INFN-Laboratori Nazionali del Gran Sasso, Assergi (L'Aquila) I-67100, Italy
| | - J Camilleri
- Center for Neutrino Physics, Virginia Polytechnic Institute and State University, Blacksburg, Virginia 24061, USA
| | - A Caminata
- INFN-Sezione di Genova, Genova I-16146, Italy
| | - A Campani
- INFN-Sezione di Genova, Genova I-16146, Italy
- Dipartimento di Fisica, Università di Genova, Genova I-16146, Italy
| | - L Canonica
- INFN-Laboratori Nazionali del Gran Sasso, Assergi (L'Aquila) I-67100, Italy
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - X G Cao
- Key Laboratory of Nuclear Physics and Ion-beam Application (MOE), Institute of Modern Physics, Fudan University, Shanghai 200433, China
| | - S Capelli
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - L Cappelli
- INFN-Laboratori Nazionali del Gran Sasso, Assergi (L'Aquila) I-67100, Italy
- Department of Physics, University of California, Berkeley, California 94720, USA
- Nuclear Science Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - L Cardani
- INFN-Sezione di Roma, Roma I-00185, Italy
| | - P Carniti
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - N Casali
- INFN-Sezione di Roma, Roma I-00185, Italy
| | - D Chiesa
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - M Clemenza
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - S Copello
- INFN-Sezione di Genova, Genova I-16146, Italy
- Dipartimento di Fisica, Università di Genova, Genova I-16146, Italy
| | - C Cosmelli
- Dipartimento di Fisica, Sapienza Università di Roma, Roma I-00185, Italy
- INFN-Sezione di Roma, Roma I-00185, Italy
| | - O Cremonesi
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
| | - R J Creswick
- Department of Physics and Astronomy, University of South Carolina, Columbia, South Carolina 29208, USA
| | - A D'Addabbo
- INFN-Laboratori Nazionali del Gran Sasso, Assergi (L'Aquila) I-67100, Italy
- Gran Sasso Science Institute, L'Aquila I-67100, Italy
| | - I Dafinei
- INFN-Sezione di Roma, Roma I-00185, Italy
| | - C J Davis
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - S Dell'Oro
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - S Di Domizio
- INFN-Sezione di Genova, Genova I-16146, Italy
- Dipartimento di Fisica, Università di Genova, Genova I-16146, Italy
| | - V Dompè
- INFN-Laboratori Nazionali del Gran Sasso, Assergi (L'Aquila) I-67100, Italy
- Gran Sasso Science Institute, L'Aquila I-67100, Italy
| | - D Q Fang
- Key Laboratory of Nuclear Physics and Ion-beam Application (MOE), Institute of Modern Physics, Fudan University, Shanghai 200433, China
| | - G Fantini
- Dipartimento di Fisica, Sapienza Università di Roma, Roma I-00185, Italy
- INFN-Sezione di Roma, Roma I-00185, Italy
| | - M Faverzani
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - E Ferri
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - F Ferroni
- INFN-Sezione di Roma, Roma I-00185, Italy
- Gran Sasso Science Institute, L'Aquila I-67100, Italy
| | - E Fiorini
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - M A Franceschi
- INFN-Laboratori Nazionali di Frascati, Frascati (Roma) I-00044, Italy
| | - S J Freedman
- Department of Physics, University of California, Berkeley, California 94720, USA
- Nuclear Science Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - S H Fu
- Key Laboratory of Nuclear Physics and Ion-beam Application (MOE), Institute of Modern Physics, Fudan University, Shanghai 200433, China
| | - B K Fujikawa
- Nuclear Science Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - A Giachero
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - L Gironi
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - A Giuliani
- Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - P Gorla
- INFN-Laboratori Nazionali del Gran Sasso, Assergi (L'Aquila) I-67100, Italy
| | - C Gotti
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
| | - T D Gutierrez
- Physics Department, California Polytechnic State University, San Luis Obispo, California 93407, USA
| | - K Han
- INPAC and School of Physics and Astronomy, Shanghai Jiao Tong University; Shanghai Laboratory for Particle Physics and Cosmology, Shanghai 200240, China
| | - K M Heeger
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - R G Huang
- Department of Physics, University of California, Berkeley, California 94720, USA
| | - H Z Huang
- Department of Physics and Astronomy, University of California, Los Angeles, California 90095, USA
| | - J Johnston
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - G Keppel
- INFN-Laboratori Nazionali di Legnaro, Legnaro (Padova) I-35020, Italy
| | - Yu G Kolomensky
- Department of Physics, University of California, Berkeley, California 94720, USA
- Nuclear Science Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - C Ligi
- INFN-Laboratori Nazionali di Frascati, Frascati (Roma) I-00044, Italy
| | - L Ma
- Department of Physics and Astronomy, University of California, Los Angeles, California 90095, USA
| | - Y G Ma
- Key Laboratory of Nuclear Physics and Ion-beam Application (MOE), Institute of Modern Physics, Fudan University, Shanghai 200433, China
| | - L Marini
- Department of Physics, University of California, Berkeley, California 94720, USA
- Nuclear Science Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - R H Maruyama
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - D Mayer
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - Y Mei
- Nuclear Science Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - N Moggi
- INFN-Sezione di Bologna, Bologna I-40127, Italy
- Dipartimento di Fisica e Astronomia, Alma Mater Studiorum-Università di Bologna, Bologna I-40127, Italy
| | - S Morganti
- INFN-Sezione di Roma, Roma I-00185, Italy
| | - T Napolitano
- INFN-Laboratori Nazionali di Frascati, Frascati (Roma) I-00044, Italy
| | - M Nastasi
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - J Nikkel
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - C Nones
- IRFU, CEA, Université Paris-Saclay, F-91191 Gif-sur-Yvette, France
| | - E B Norman
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
- Department of Nuclear Engineering, University of California, Berkeley, California 94720, USA
| | - A Nucciotti
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - I Nutini
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - T O'Donnell
- Center for Neutrino Physics, Virginia Polytechnic Institute and State University, Blacksburg, Virginia 24061, USA
| | - J L Ouellet
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - S Pagan
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - C E Pagliarone
- INFN-Laboratori Nazionali del Gran Sasso, Assergi (L'Aquila) I-67100, Italy
- Dipartimento di Ingegneria Civile e Meccanica, Università degli Studi di Cassino e del Lazio Meridionale, Cassino I-03043, Italy
| | - L Pagnanini
- INFN-Laboratori Nazionali del Gran Sasso, Assergi (L'Aquila) I-67100, Italy
- Gran Sasso Science Institute, L'Aquila I-67100, Italy
| | - M Pallavicini
- INFN-Sezione di Genova, Genova I-16146, Italy
- Dipartimento di Fisica, Università di Genova, Genova I-16146, Italy
| | - L Pattavina
- INFN-Laboratori Nazionali del Gran Sasso, Assergi (L'Aquila) I-67100, Italy
| | - M Pavan
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - G Pessina
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
| | | | - C Pira
- INFN-Laboratori Nazionali di Legnaro, Legnaro (Padova) I-35020, Italy
| | - S Pirro
- INFN-Laboratori Nazionali del Gran Sasso, Assergi (L'Aquila) I-67100, Italy
| | - S Pozzi
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - E Previtali
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - A Puiu
- INFN-Laboratori Nazionali del Gran Sasso, Assergi (L'Aquila) I-67100, Italy
- Gran Sasso Science Institute, L'Aquila I-67100, Italy
| | - C Rosenfeld
- Department of Physics and Astronomy, University of South Carolina, Columbia, South Carolina 29208, USA
| | - C Rusconi
- Department of Physics and Astronomy, University of South Carolina, Columbia, South Carolina 29208, USA
- INFN-Laboratori Nazionali del Gran Sasso, Assergi (L'Aquila) I-67100, Italy
| | - M Sakai
- Department of Physics, University of California, Berkeley, California 94720, USA
| | - S Sangiorgio
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
| | - B Schmidt
- Nuclear Science Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - N D Scielzo
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
| | - V Sharma
- Center for Neutrino Physics, Virginia Polytechnic Institute and State University, Blacksburg, Virginia 24061, USA
| | - V Singh
- Department of Physics, University of California, Berkeley, California 94720, USA
| | - M Sisti
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
| | - D Speller
- Department of Physics and Astronomy, The Johns Hopkins University, 3400 North Charles Street Baltimore, Maryland 21211, USA
| | - P T Surukuchi
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | | | - F Terranova
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - C Tomei
- INFN-Sezione di Roma, Roma I-00185, Italy
| | - K J Vetter
- Department of Physics, University of California, Berkeley, California 94720, USA
- Nuclear Science Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - M Vignati
- INFN-Sezione di Roma, Roma I-00185, Italy
| | - S L Wagaarachchi
- Department of Physics, University of California, Berkeley, California 94720, USA
- Nuclear Science Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - B S Wang
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
- Department of Nuclear Engineering, University of California, Berkeley, California 94720, USA
| | - B Welliver
- Nuclear Science Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - J Wilson
- Department of Physics and Astronomy, University of South Carolina, Columbia, South Carolina 29208, USA
| | - K Wilson
- Department of Physics and Astronomy, University of South Carolina, Columbia, South Carolina 29208, USA
| | - L A Winslow
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - S Zimmermann
- Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - S Zucchelli
- INFN-Sezione di Bologna, Bologna I-40127, Italy
- Dipartimento di Fisica e Astronomia, Alma Mater Studiorum-Università di Bologna, Bologna I-40127, Italy
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Wilson K, Flood M, Narasimhan V, Pham T, Warrier S, Ramsay R, Michael M, Heriot A. Complete pathological response in rectal cancer utilising novel treatment strategies for neo-adjuvant therapy: A systematic review. Eur J Surg Oncol 2021; 47:1862-1874. [PMID: 33814240 DOI: 10.1016/j.ejso.2021.03.245] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [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: 11/23/2020] [Revised: 02/07/2021] [Accepted: 03/17/2021] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Locally advanced rectal cancer is routinely treated with neo-adjuvant long course chemoradiotherapy or short course radiotherapy, followed by total mesorectal excision. Not all patients respond to this treatment and there has been an emergence of novel treatment strategies designed to improve outcomes for these patients. This systematic review aims to assess the current novel neo-adjuvant treatment strategies being utilised in the treatment of patients with rectal cancer and how these impact pathological complete response (pCR) rates. METHODS A systematic review of the literature was performed to evaluate pathological response in patients with rectal cancer receiving novel neo-adjuvant therapy. EMBASE and Medline electronic databases were searched for relevant articles. Articles published between January 2008 and February 2019 were retrieved. Included studies underwent critical appraisal and complete pathological response rates were recorded. RESULTS Of the initial 1074 articles identified, 217 articles fulfilled the inclusion criteria, of these 60 articles (4359 patients) were included. Neo-adjuvant therapy delivered included novel long course chemoradiation therapy, neoadjuvant chemotherapy alone, addition of a biological agent, total neo-adjuvant therapy, novel short course radiation therapy and studies utilising biomarkers to select patients for therapy. Complete pathological response rates ranged from 0 to 60%. CONCLUSION A validated novel neo-adjuvant therapy that significantly increases pCR rates in patients with rectal cancer has not been identified.
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Affiliation(s)
- K Wilson
- Peter MacCallum Cancer Centre, Department of Surgical Oncology, Australia; Differentiation and Transcription Laboratory, Sir Peter MacCallum Cancer Centre, Australia; Sir Peter MacCallum Dept. of Oncology, University of Melbourne, Australia.
| | - M Flood
- Peter MacCallum Cancer Centre, Department of Surgical Oncology, Australia; Differentiation and Transcription Laboratory, Sir Peter MacCallum Cancer Centre, Australia; Sir Peter MacCallum Dept. of Oncology, University of Melbourne, Australia
| | - V Narasimhan
- Peter MacCallum Cancer Centre, Department of Surgical Oncology, Australia; Differentiation and Transcription Laboratory, Sir Peter MacCallum Cancer Centre, Australia; Sir Peter MacCallum Dept. of Oncology, University of Melbourne, Australia
| | - T Pham
- Peter MacCallum Cancer Centre, Department of Surgical Oncology, Australia; Differentiation and Transcription Laboratory, Sir Peter MacCallum Cancer Centre, Australia; Sir Peter MacCallum Dept. of Oncology, University of Melbourne, Australia
| | - S Warrier
- Peter MacCallum Cancer Centre, Department of Surgical Oncology, Australia
| | - R Ramsay
- Peter MacCallum Cancer Centre, Department of Surgical Oncology, Australia; Differentiation and Transcription Laboratory, Sir Peter MacCallum Cancer Centre, Australia
| | - M Michael
- Peter MacCallum Cancer Centre, Department of Medical Oncology, Australia; Sir Peter MacCallum Dept. of Oncology, University of Melbourne, Australia
| | - A Heriot
- Peter MacCallum Cancer Centre, Department of Surgical Oncology, Australia; Sir Peter MacCallum Dept. of Oncology, University of Melbourne, Australia
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Figueiredo FC, Glanville JM, Arber M, Carr E, Rydevik G, Hogg J, Okonkwo A, Figueiredo G, Lako M, Whiter F, Wilson K. A systematic review of cellular therapies for the treatment of limbal stem cell deficiency affecting one or both eyes. Ocul Surf 2021; 20:48-61. [PMID: 33412337 DOI: 10.1016/j.jtos.2020.12.008] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [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: 05/04/2020] [Revised: 12/15/2020] [Accepted: 12/28/2020] [Indexed: 01/18/2023]
Abstract
PURPOSE This systematic review (SR) assessed the efficacy, safety and cost-effectiveness of cell-based therapy to manage limbal stem cell deficiency (LSCD), a sight-threatening orphan condition most frequently associated with severe chemical or thermal burns. LSCD has historically been treated by transplanting limbal tissue. In 1997, a new treatment, cultured limbal epithelial autografts, was described for unilateral LSCD. In cases of bilateral disease cultured autologous oral mucosa stem cells have been used. The relative efficacy of different cultured tissue procedures is unknown. METHODS A protocol was registered with PROSPERO (CRD42017081117). Searches were conducted in 14 databases and 6 conference websites. Two reviewers independently selected studies, conducted data extraction and assessed risk of bias. One reviewer extracted individual patient data (IPD); a second checked extracted data. Data were assessed to determine the feasibility of statistical analysis, with Bayesian synthesis used to estimate improvement achieved by different treatments. RESULTS Fifty-two studies were eligible for inclusion (1113 eyes); 41 studies (716 eyes) reported IPD. No evidence was identified on cost-effectiveness. This SR was unable to confirm that any of the types of ex vivo cultured stem cell transplants identified for LSCD treatment were statistically superior when assessed against the outcomes of interest. CONCLUSIONS We believe this SR is the first to include IPD analysis of LSCD data. There is no evidence for the superiority of any method of limbal stem cell transplant. Confirmation of the safety and efficacy of this treatment modality is challenging due to heterogeneity within and between the studies identified. Therefore, recommendations for future research are proposed.
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Affiliation(s)
- F C Figueiredo
- Department of Ophthalmology, Royal Victoria Infirmary and University of Newcastle, Queen Victoria Road, Newcastle Upon Tyne, NE1 4LP, UK.
| | - J M Glanville
- York Health Economics Consortium, Enterprise House, Innovation Way, University of York, York, YO10 5NQ, UK
| | - M Arber
- York Health Economics Consortium, Enterprise House, Innovation Way, University of York, York, YO10 5NQ, UK
| | - E Carr
- York Health Economics Consortium, Enterprise House, Innovation Way, University of York, York, YO10 5NQ, UK
| | - G Rydevik
- Quantics Biostatistics, West End House, 28 Drumsheugh Gardens, Edinburgh, EH3 7RN, UK
| | - J Hogg
- Department of Ophthalmology, Royal Victoria Infirmary and University of Newcastle, Queen Victoria Road, Newcastle Upon Tyne, NE1 4LP, UK
| | - A Okonkwo
- Department of Ophthalmology, Royal Victoria Infirmary and University of Newcastle, Queen Victoria Road, Newcastle Upon Tyne, NE1 4LP, UK
| | - G Figueiredo
- Department of Ophthalmology, Royal Victoria Infirmary and University of Newcastle, Queen Victoria Road, Newcastle Upon Tyne, NE1 4LP, UK
| | - M Lako
- Biosciences Institute, Newcastle University, International Centre for Life, Newcastle, NE1 3BZ, UK
| | - F Whiter
- York Health Economics Consortium, Enterprise House, Innovation Way, University of York, York, YO10 5NQ, UK
| | - K Wilson
- York Health Economics Consortium, Enterprise House, Innovation Way, University of York, York, YO10 5NQ, UK
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Abstract
The analysis of area-level aggregated summary data is common in many disciplines including epidemiology and the social sciences. Typically, Markov random field spatial models have been employed to acknowledge spatial dependence and allow data-driven smoothing. In the context of an irregular set of areas, these models always have an ad hoc element with respect to the definition of a neighborhood scheme. In this article, we exploit recent theoretical and computational advances to carry out modeling at the continuous spatial level, which induces a spatial model for the discrete areas. This approach also allows reconstruction of the continuous underlying surface, but the interpretation of such surfaces is delicate since it depends on the quality, extent and configuration of the observed data. We focus on models based on stochastic partial differential equations. We also consider the interesting case in which the aggregate data are supplemented with point data. We carry out Bayesian inference and, in the language of generalized linear mixed models, if the link is linear, an efficient implementation of the model is available via integrated nested Laplace approximations. For nonlinear links, we present two approaches: a fully Bayesian implementation using a Hamiltonian Monte Carlo algorithm and an empirical Bayes implementation, that is much faster and is based on Laplace approximations. We examine the properties of the approach using simulation, and then apply the model to the classic Scottish lip cancer data.
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Affiliation(s)
- Katie Wilson
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Jon Wakefield
- Departments of Biostatistics and Statistics, University of Washington, Seattle, WA, USA
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Gerona-Navarro G, Zhang G, Barragan F, Elie B, Wilson K, Herskovits A, Rodriguez Y, Cornejo M. An allosteric modulator of PRC2 methyltransferase activity inhibits renal cancer cell proliferation. Eur J Cancer 2020. [DOI: 10.1016/s0959-8049(20)31127-8] [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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Lang M, Sourbier C, Schmidt L, Wei D, Gibbs B, Ricketts C, Vocke C, Wilson K, Thomas C, Linehan W. High-throughput small molecule screens reveal therapeutic opportunities against TFE3-fusion renal cell carcinoma. Eur J Cancer 2020. [DOI: 10.1016/s0959-8049(20)31109-6] [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: 11/30/2022]
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27
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Wilson K, Wakefield J. Child mortality estimation incorporating summary birth history data. Biometrics 2020; 77:1456-1466. [PMID: 32970318 DOI: 10.1111/biom.13383] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [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: 10/04/2018] [Revised: 09/08/2020] [Accepted: 09/15/2020] [Indexed: 11/28/2022]
Abstract
The United Nations' Sustainable Development Goal 3.2 aims to reduce under-five child mortality to 25 deaths per 1000 live births by 2030. Child mortality tends to be concentrated in developing regions where information needed to assess achievement of this goal often comes from surveys and censuses. In both, women are asked about their birth histories, but with varying degrees of detail. Full birth history (FBH) data contain the reported dates of births and deaths of every surveyed mother's children. In contrast, summary birth history (SBH) data contain only the total number of children born and total number of children who died for each mother. Specialized methods are needed to accommodate this type of data into analyses of child mortality trends. We develop a data augmentation scheme within a Bayesian framework where for SBH data, birth and death dates are introduced as auxiliary variables. Since we specify a full probability model for the data, many of the well-known biases that exist in this data can be accommodated, along with space-time smoothing on the underlying mortality rates. We illustrate our approach in a simulation, showing robustness to model misspecification and that uncertainty is reduced when incorporating SBH data over simply analyzing all available FBH data. We also apply our approach to data from the Central region of Malawi and compare with the well-known Brass method.
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Affiliation(s)
- Katie Wilson
- Department of Biostatistics, University of Washington, Seattle, Washington
| | - Jon Wakefield
- Department of Biostatistics, University of Washington, Seattle, Washington.,Department of Statistics, University of Washington, Seattle, Washington
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Mercieca-Bebber R, Barnes E, Wilson K, Samoon Z, Walpole E, Mai T, Ackland S, Burge M, Dickie G, Watson D, Leung J, Wang T, Bohmer R, Cameron D, Simes R, Gebski V, Smithers M, Thomas J, Zalcberg J, Barbour A. 1430P Patient-reported outcome (PRO) results from AGITG DOCTOR: A randomised phase II trial of tailored neoadjuvant therapy for resectable oesophageal adenocarcinoma. Ann Oncol 2020. [DOI: 10.1016/j.annonc.2020.08.1936] [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] Open
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29
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Adams DQ, Alduino C, Alfonso K, Avignone FT, Azzolini O, Bari G, Bellini F, Benato G, Biassoni M, Branca A, Brofferio C, Bucci C, Caminata A, Campani A, Canonica L, Cao XG, Capelli S, Cappelli L, Cardani L, Carniti P, Casali N, Chiesa D, Chott N, Clemenza M, Copello S, Cosmelli C, Cremonesi O, Creswick RJ, D'Addabbo A, D'Aguanno D, Dafinei I, Davis CJ, Dell'Oro S, Di Domizio S, Dompè V, Fang DQ, Fantini G, Faverzani M, Ferri E, Ferroni F, Fiorini E, Franceschi MA, Freedman SJ, Fujikawa BK, Giachero A, Gironi L, Giuliani A, Gorla P, Gotti C, Gutierrez TD, Han K, Heeger KM, Huang RG, Huang HZ, Johnston J, Keppel G, Kolomensky YG, Ligi C, Ma YG, Ma L, Marini L, Maruyama RH, Mei Y, Moggi N, Morganti S, Napolitano T, Nastasi M, Nikkel J, Nones C, Norman EB, Novati V, Nucciotti A, Nutini I, O'Donnell T, Ouellet JL, Pagliarone CE, Pagnanini L, Pallavicini M, Pattavina L, Pavan M, Pessina G, Pettinacci V, Pira C, Pirro S, Pozzi S, Previtali E, Puiu A, Rosenfeld C, Rusconi C, Sakai M, Sangiorgio S, Schmidt B, Scielzo ND, Sharma V, Singh V, Sisti M, Speller D, Surukuchi PT, Taffarello L, Terranova F, Tomei C, Vignati M, Wagaarachchi SL, Wang BS, Welliver B, Wilson J, Wilson K, Winslow LA, Zanotti L, Zimmermann S, Zucchelli S. Improved Limit on Neutrinoless Double-Beta Decay in ^{130} Te with CUORE. Phys Rev Lett 2020; 124:122501. [PMID: 32281829 DOI: 10.1103/physrevlett.124.122501] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/23/2019] [Revised: 02/11/2020] [Accepted: 02/27/2020] [Indexed: 06/11/2023]
Abstract
We report new results from the search for neutrinoless double-beta decay in ^{130} Te with the CUORE detector. This search benefits from a fourfold increase in exposure, lower trigger thresholds, and analysis improvements relative to our previous results. We observe a background of (1.38±0.07)×10^{-2} counts/(keV kg yr)) in the 0νββ decay region of interest and, with a total exposure of 372.5 kg yr, we attain a median exclusion sensitivity of 1.7×10^{25} yr. We find no evidence for 0νββ decay and set a 90% credibility interval Bayesian lower limit of 3.2×10^{25} yr on the ^{130} Te half-life for this process. In the hypothesis that 0νββ decay is mediated by light Majorana neutrinos, this results in an upper limit on the effective Majorana mass of 75-350 meV, depending on the nuclear matrix elements used.
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Affiliation(s)
- D Q Adams
- Department of Physics and Astronomy, University of South Carolina, Columbia, South Carolina 29208, USA
| | - C Alduino
- Department of Physics and Astronomy, University of South Carolina, Columbia, South Carolina 29208, USA
| | - K Alfonso
- Department of Physics and Astronomy, University of California, Los Angeles, California 90095, USA
| | - F T Avignone
- Department of Physics and Astronomy, University of South Carolina, Columbia, South Carolina 29208, USA
| | - O Azzolini
- INFN-Laboratori Nazionali di Legnaro, Legnaro (Padova) I-35020, Italy
| | - G Bari
- INFN-Sezione di Bologna, Bologna I-40127, Italy
| | - F Bellini
- Dipartimento di Fisica, Sapienza Università di Roma, Roma I-00185, Italy
- INFN-Sezione di Roma, Roma I-00185, Italy
| | - G Benato
- Department of Physics, University of California, Berkeley, California 94720, USA
- INFN-Laboratori Nazionali del Gran Sasso, Assergi (L'Aquila) I-67100, Italy
| | - M Biassoni
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
| | - A Branca
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - C Brofferio
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - C Bucci
- INFN-Laboratori Nazionali del Gran Sasso, Assergi (L'Aquila) I-67100, Italy
| | - A Caminata
- INFN-Sezione di Genova, Genova I-16146, Italy
| | - A Campani
- INFN-Sezione di Genova, Genova I-16146, Italy
- Dipartimento di Fisica, Università di Genova, Genova I-16146, Italy
| | - L Canonica
- INFN-Laboratori Nazionali del Gran Sasso, Assergi (L'Aquila) I-67100, Italy
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - X G Cao
- Key Laboratory of Nuclear Physics and Ion-Beam Application (MOE), Institute of Modern Physics, Fudan University, Shanghai 200433, China
| | - S Capelli
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - L Cappelli
- Department of Physics, University of California, Berkeley, California 94720, USA
- INFN-Laboratori Nazionali del Gran Sasso, Assergi (L'Aquila) I-67100, Italy
- Nuclear Science Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - L Cardani
- INFN-Sezione di Roma, Roma I-00185, Italy
| | - P Carniti
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - N Casali
- INFN-Sezione di Roma, Roma I-00185, Italy
| | - D Chiesa
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - N Chott
- Department of Physics and Astronomy, University of South Carolina, Columbia, South Carolina 29208, USA
| | - M Clemenza
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - S Copello
- INFN-Laboratori Nazionali del Gran Sasso, Assergi (L'Aquila) I-67100, Italy
- Gran Sasso Science Institute, L'Aquila I-67100, Italy
| | - C Cosmelli
- Dipartimento di Fisica, Sapienza Università di Roma, Roma I-00185, Italy
- INFN-Sezione di Roma, Roma I-00185, Italy
| | - O Cremonesi
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
| | - R J Creswick
- Department of Physics and Astronomy, University of South Carolina, Columbia, South Carolina 29208, USA
| | - A D'Addabbo
- INFN-Laboratori Nazionali del Gran Sasso, Assergi (L'Aquila) I-67100, Italy
| | - D D'Aguanno
- INFN-Laboratori Nazionali del Gran Sasso, Assergi (L'Aquila) I-67100, Italy
- Dipartimento di Ingegneria Civile e Meccanica, Università degli Studi di Cassino e del Lazio Meridionale, Cassino I-03043, Italy
| | - I Dafinei
- INFN-Sezione di Roma, Roma I-00185, Italy
| | - C J Davis
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - S Dell'Oro
- Center for Neutrino Physics, Virginia Polytechnic Institute and State University, Blacksburg, Virginia 24061, USA
| | - S Di Domizio
- INFN-Sezione di Genova, Genova I-16146, Italy
- Dipartimento di Fisica, Università di Genova, Genova I-16146, Italy
| | - V Dompè
- INFN-Laboratori Nazionali del Gran Sasso, Assergi (L'Aquila) I-67100, Italy
- Gran Sasso Science Institute, L'Aquila I-67100, Italy
| | - D Q Fang
- Key Laboratory of Nuclear Physics and Ion-Beam Application (MOE), Institute of Modern Physics, Fudan University, Shanghai 200433, China
| | - G Fantini
- INFN-Laboratori Nazionali del Gran Sasso, Assergi (L'Aquila) I-67100, Italy
- Gran Sasso Science Institute, L'Aquila I-67100, Italy
| | - M Faverzani
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - E Ferri
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - F Ferroni
- INFN-Sezione di Roma, Roma I-00185, Italy
- Gran Sasso Science Institute, L'Aquila I-67100, Italy
| | - E Fiorini
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - M A Franceschi
- INFN-Laboratori Nazionali di Frascati, Frascati (Roma) I-00044, Italy
| | - S J Freedman
- Department of Physics, University of California, Berkeley, California 94720, USA
- Nuclear Science Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - B K Fujikawa
- Nuclear Science Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - A Giachero
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - L Gironi
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - A Giuliani
- CSNSM, Univ. Paris-Sud, CNRS/IN2P3, Université Paris-Saclay, 91405 Orsay, France
| | - P Gorla
- INFN-Laboratori Nazionali del Gran Sasso, Assergi (L'Aquila) I-67100, Italy
| | - C Gotti
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - T D Gutierrez
- Physics Department, California Polytechnic State University, San Luis Obispo, California 93407, USA
| | - K Han
- INPAC and School of Physics and Astronomy, Shanghai Jiao Tong University; Shanghai Laboratory for Particle Physics and Cosmology, Shanghai 200240, China
| | - K M Heeger
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - R G Huang
- Department of Physics, University of California, Berkeley, California 94720, USA
| | - H Z Huang
- Department of Physics and Astronomy, University of California, Los Angeles, California 90095, USA
| | - J Johnston
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - G Keppel
- INFN-Laboratori Nazionali di Legnaro, Legnaro (Padova) I-35020, Italy
| | - Yu G Kolomensky
- Department of Physics, University of California, Berkeley, California 94720, USA
- Nuclear Science Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - C Ligi
- INFN-Laboratori Nazionali di Frascati, Frascati (Roma) I-00044, Italy
| | - Y G Ma
- Key Laboratory of Nuclear Physics and Ion-Beam Application (MOE), Institute of Modern Physics, Fudan University, Shanghai 200433, China
| | - L Ma
- Department of Physics and Astronomy, University of California, Los Angeles, California 90095, USA
| | - L Marini
- Department of Physics, University of California, Berkeley, California 94720, USA
- Nuclear Science Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - R H Maruyama
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - Y Mei
- Nuclear Science Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - N Moggi
- INFN-Sezione di Bologna, Bologna I-40127, Italy
- Dipartimento di Fisica e Astronomia, Alma Mater Studiorum-Università di Bologna, Bologna I-40127, Italy
| | - S Morganti
- INFN-Sezione di Roma, Roma I-00185, Italy
| | - T Napolitano
- INFN-Laboratori Nazionali di Frascati, Frascati (Roma) I-00044, Italy
| | - M Nastasi
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - J Nikkel
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - C Nones
- Service de Physique des Particules, CEA/Saclay, 91191 Gif-sur-Yvette, France
| | - E B Norman
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
- Department of Nuclear Engineering, University of California, Berkeley, California 94720, USA
| | - V Novati
- CSNSM, Univ. Paris-Sud, CNRS/IN2P3, Universit Paris-Saclay, 91405 Orsay, France
| | - A Nucciotti
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - I Nutini
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - T O'Donnell
- Center for Neutrino Physics, Virginia Polytechnic Institute and State University, Blacksburg, Virginia 24061, USA
| | - J L Ouellet
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - C E Pagliarone
- INFN-Laboratori Nazionali del Gran Sasso, Assergi (L'Aquila) I-67100, Italy
- Dipartimento di Ingegneria Civile e Meccanica, Università degli Studi di Cassino e del Lazio Meridionale, Cassino I-03043, Italy
| | - L Pagnanini
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - M Pallavicini
- INFN-Sezione di Genova, Genova I-16146, Italy
- Dipartimento di Fisica, Università di Genova, Genova I-16146, Italy
| | - L Pattavina
- INFN-Laboratori Nazionali del Gran Sasso, Assergi (L'Aquila) I-67100, Italy
| | - M Pavan
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - G Pessina
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
| | | | - C Pira
- INFN-Laboratori Nazionali di Legnaro, Legnaro (Padova) I-35020, Italy
| | - S Pirro
- INFN-Laboratori Nazionali del Gran Sasso, Assergi (L'Aquila) I-67100, Italy
| | - S Pozzi
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - E Previtali
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - A Puiu
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - C Rosenfeld
- Department of Physics and Astronomy, University of South Carolina, Columbia, South Carolina 29208, USA
| | - C Rusconi
- Department of Physics and Astronomy, University of South Carolina, Columbia, South Carolina 29208, USA
- INFN-Laboratori Nazionali del Gran Sasso, Assergi (L'Aquila) I-67100, Italy
| | - M Sakai
- Department of Physics, University of California, Berkeley, California 94720, USA
| | - S Sangiorgio
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
| | - B Schmidt
- Nuclear Science Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - N D Scielzo
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
| | - V Sharma
- Center for Neutrino Physics, Virginia Polytechnic Institute and State University, Blacksburg, Virginia 24061, USA
| | - V Singh
- Department of Physics, University of California, Berkeley, California 94720, USA
| | - M Sisti
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - D Speller
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - P T Surukuchi
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | | | - F Terranova
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - C Tomei
- INFN-Sezione di Roma, Roma I-00185, Italy
| | - M Vignati
- INFN-Sezione di Roma, Roma I-00185, Italy
| | - S L Wagaarachchi
- Department of Physics, University of California, Berkeley, California 94720, USA
- Nuclear Science Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - B S Wang
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
- Department of Nuclear Engineering, University of California, Berkeley, California 94720, USA
| | - B Welliver
- Nuclear Science Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - J Wilson
- Department of Physics and Astronomy, University of South Carolina, Columbia, South Carolina 29208, USA
| | - K Wilson
- Department of Physics and Astronomy, University of South Carolina, Columbia, South Carolina 29208, USA
| | - L A Winslow
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - L Zanotti
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - S Zimmermann
- Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - S Zucchelli
- INFN-Sezione di Bologna, Bologna I-40127, Italy
- Dipartimento di Fisica e Astronomia, Alma Mater Studiorum-Università di Bologna, Bologna I-40127, Italy
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Huang CK(K, Neylon C, Brookes-Kenworthy C, Hosking R, Montgomery L, Wilson K, Ozaygen A. Comparison of bibliographic data sources: Implications for the robustness of university rankings. Quantitative Science Studies 2020. [DOI: 10.1162/qss_a_00031] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
Abstract
Universities are increasingly evaluated on the basis of their outputs. These are often converted to simple and contested rankings with substantial implications for recruitment, income, and perceived prestige. Such evaluation usually relies on a single data source to define the set of outputs for a university. However, few studies have explored differences across data sources and their implications for metrics and rankings at the institutional scale. We address this gap by performing detailed bibliographic comparisons between Web of Science (WoS), Scopus, and Microsoft Academic (MSA) at the institutional level and supplement this with a manual analysis of 15 universities. We further construct two simple rankings based on citation count and open access status. Our results show that there are significant differences across databases. These differences contribute to drastic changes in rank positions of universities, which are most prevalent for non-English-speaking universities and those outside the top positions in international university rankings. Overall, MSA has greater coverage than Scopus and WoS, but with less complete affiliation metadata. We suggest that robust evaluation measures need to consider the effect of choice of data sources and recommend an approach where data from multiple sources is integrated to provide a more robust data set.
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Affiliation(s)
- Chun-Kai (Karl) Huang
- Centre for Culture and Technology, Curtin University, Bentley 6102, Western Australia
| | - Cameron Neylon
- Centre for Culture and Technology, Curtin University, Bentley 6102, Western Australia
| | | | - Richard Hosking
- Centre for Culture and Technology, Curtin University, Bentley 6102, Western Australia
| | - Lucy Montgomery
- Centre for Culture and Technology, Curtin University, Bentley 6102, Western Australia
| | - Katie Wilson
- Centre for Culture and Technology, Curtin University, Bentley 6102, Western Australia
| | - Alkim Ozaygen
- Centre for Culture and Technology, Curtin University, Bentley 6102, Western Australia
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Barbour A, Walpole E, Mai G, Barnes E, Watson D, Ackland S, Martin J, Burge M, Finch R, Karapetis C, Shannon J, Nott L, Varma S, Marx G, Falk G, Gebski V, Oostendorp M, Wilson K, Thomas J, Lampe G, Zalcberg J, Simes J, Smithers B, Barbour A, Simes J, Walpole E, Mai T, Watson D, Karapetis C, Gebski V, Barnes L, Oostendorp M, Wilson K. Preoperative cisplatin, fluorouracil, and docetaxel with or without radiotherapy after poor early response to cisplatin and fluorouracil for resectable oesophageal adenocarcinoma (AGITG DOCTOR): results from a multicentre, randomised controlled phase II trial. Ann Oncol 2020; 31:236-245. [DOI: 10.1016/j.annonc.2019.10.019] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2019] [Revised: 10/16/2019] [Accepted: 10/17/2019] [Indexed: 11/24/2022] Open
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Fisher ER, Pratt R, Esch R, Kocher M, Wilson K, Lee W, Zierhut HA. The role of race and ethnicity in views toward and participation in genetic studies and precision medicine research in the United States: A systematic review of qualitative and quantitative studies. Mol Genet Genomic Med 2019; 8:e1099. [PMID: 31867882 PMCID: PMC7005620 DOI: 10.1002/mgg3.1099] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2019] [Revised: 11/18/2019] [Accepted: 12/10/2019] [Indexed: 11/08/2022] Open
Abstract
BACKGROUND Racial/ethnic minority populations in the United States are consistently underrepresented in genetic research. Large-scale public participation is required to ensure discoveries from precision medicine research are applicable to everyone. To evaluate views toward and facilitators of participation among minority populations in the United States, we conducted a systematic review of literature. METHODS Six databases were searched for articles published from 2005 to 2018 assessing minority populations' views and/or willingness to participate in genetic research. A thematic framework was applied to extracted data to synthesize findings, and the Socio-Ecological Model was used to evaluate papers. RESULTS Review of 2,229 titles and abstracts identified 27 papers (n = 8 qualitative, n = 19 quantitative). Themes included knowledge of genetics, engagement in research, facilitators and barriers to participation, and cultural considerations. Understanding of genetics was low, yet the majority of participants were willing to participate in genetic research among all populations included in the literature (range: 57%-97%). Recommendations for research included utilizing community-based participatory approaches, evaluating participants' informational needs, incentivizing participation, and providing direct benefits (e.g., genetic test results). CONCLUSION Results could influence future study designs that incorporate all levels of the Socio-Ecological Model and better meet the needs of underrepresented groups, thereby ensuring precision medicine research findings are applicable to all.
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Affiliation(s)
- Elena R Fisher
- Department of Genetics, Cell Biology, and Development, University of Minnesota, Minneapolis, MN, USA
| | - Rebekah Pratt
- Department of Family Medicine and Community Health, University of Minnesota, Minneapolis, MN, USA
| | - Riley Esch
- Department of Biochemistry, Molecular Biology, and Biophysics, University of Minnesota, Minneapolis, MN, USA
| | - Megan Kocher
- University of Minnesota Libraries, Minneapolis, MN, USA
| | - Katie Wilson
- University of Minnesota Libraries, Minneapolis, MN, USA
| | - Whiwon Lee
- Department of Genetics, Cell Biology, and Development, University of Minnesota, Minneapolis, MN, USA
| | - Heather A Zierhut
- Department of Genetics, Cell Biology, and Development, University of Minnesota, Minneapolis, MN, USA
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Gifford RM, O'Leary TJ, Double RL, Wardle SL, Wilson K, Boyle LD, Homer NZM, Kirschbaum C, Greeves JP, Woods DR, Reynolds RM. Positive adaptation of HPA axis function in women during 44 weeks of infantry-based military training. Psychoneuroendocrinology 2019; 110:104432. [PMID: 31536944 DOI: 10.1016/j.psyneuen.2019.104432] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [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: 05/16/2019] [Revised: 09/03/2019] [Accepted: 09/04/2019] [Indexed: 10/26/2022]
Abstract
BACKGROUND Basic military training (BMT) is a useful model of prolonged exposure to multiple stressors. 8-12 week BMT is associated with perturbations in the hypothalamic-pituitary-adrenal (HPA) axis which could predispose recruits to injury and psychological strain. However, characterisations of HPA axis adaptations during BMT have not been comprehensive and most studies included few if any women. METHODS We studied women undertaking an arduous, 44-week BMT programme in the UK. Anxiety, depression and resilience questionnaires, average hair cortisol concentration (HCC), morning and evening saliva cortisol and morning plasma cortisol were assessed at regular intervals throughout. A 1-h dynamic cortisol response to 1 μg adrenocorticotrophic hormone-1-24 was performed during weeks 1 and 29. RESULTS Fifty-three women (aged 24 ± 2.5 years) completed the study. Questionnaires demonstrated increased depression and reduced resilience during training (F 6.93 and F 7.24, respectively, both p < 0.001). HCC increased from 3 months before training to the final 3 months of training (median (IQR) 9.63 (5.38, 16.26) versus 11.56 (6.2, 22.45) pg/mg, p = 0.003). Morning saliva cortisol increased during the first 7 weeks of training (0.44 ± 0.23 versus 0.59 ± 0.24 μg/dl p < 0.001) and decreased thereafter, with no difference between the first and final weeks (0.44 ± 0.23 versus 0.38 ± 0.21 μg/dl, p = 0.2). Evening saliva cortisol did not change. Fasting cortisol decreased during training (beginning, mid and end-training concentrations: 701 ± 134, 671 ± 158 and 561 ± 177 nmol/l, respectively, p < 0.001). Afternoon basal cortisol increased during training while there was a trend towards increased peak stimulated cortisol (177 ± 92 versus 259 ± 13 nmol/l, p = 0.003, and 589 ± 164 versus 656 ± 135, p = 0.058, respectively). DISCUSSION These results suggest a normal stress response in early training was followed quickly by habituation, despite psychological and physical stress evidenced by questionnaire scores and HCC, respectively. There was no evidence of HPA axis maladaptation. These observations are reassuring for women undertaking arduous employment.
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Affiliation(s)
- R M Gifford
- University/British Heart Foundation Centre for Cardiovascular Science, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK; Research & Clinical Innovation, Royal Centre for Defence Medicine, Birmingham, UK
| | - T J O'Leary
- Department of Army Health and Physical Performance Research, Andover, Hampshire, UK
| | - R L Double
- Department of Army Health and Physical Performance Research, Andover, Hampshire, UK
| | - S L Wardle
- Department of Army Health and Physical Performance Research, Andover, Hampshire, UK
| | - K Wilson
- Medical Research Council Centre for Reproductive Health, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, EH16 4TJ, UK
| | - L D Boyle
- University/British Heart Foundation Centre for Cardiovascular Science, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK
| | - N Z M Homer
- University/British Heart Foundation Centre for Cardiovascular Science, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK; Mass Spectrometry Core, Edinburgh Clinical Research Facility, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK
| | | | - J P Greeves
- Department of Army Health and Physical Performance Research, Andover, Hampshire, UK; Norwich Medical School, University of East Anglia, Norwich, UK
| | - D R Woods
- Research & Clinical Innovation, Royal Centre for Defence Medicine, Birmingham, UK; Research Institute for Sport, Physical Activity and Leisure, Leeds Beckett University, Leeds, UK; Northumbria and Newcastle NHS Trusts, Wansbeck General and Royal Victoria Infirmary, Newcastle, UK
| | - R M Reynolds
- University/British Heart Foundation Centre for Cardiovascular Science, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK.
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Silbernagel K, Jechorek R, Barbour WM, Mrozinski P, Alejo W, Aleo V, Andaloro B, Beacorn F, Benzinger J, Bogar S, Brayman C, Broom J, Carson M, Carver C, Cheng C, Centrella B, Clayborn J, Collins C, Deibel C, Divine M, Eliasberg S, Farmer D, Frye S, Gatesy T, Goodstein E, Halker C, Hall G, Hanson P, Hartman G, Heddaeus K, Hembree J, Hutchins J, Istafanos P, Jechorek R, Jenkins J, Kerdahi K, Kremer S, Lal A, Leighton S, Lester D, Lewis J, Lin J, Martin J, Maselli M, McCarthy P, McGovern B, Mills M, Mohnke F, Moon B, Moss D, Plaza M, Robeson S, Romero H, Rubalcaba D, Schultz A, Seehusen J, Shaw C, Siem K, Sloan E, Stanerson J, Stepanova N, Van K, Van Enkenvoort K, Vialpando M, Warren W, Watts K, Wilson K, Woodruff T. Evaluation of the BAX® System for Detection of Listeria monocytogenes in Foods: Collaborative Study. J AOAC Int 2019. [DOI: 10.1093/jaoac/87.2.395] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [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
A multilaboratory study was conducted to compare the automated BAX® system and the standard cultural methods for detection of Listeria monocytogenes in foods. Six food types (frankfurters, soft cheese, smoked salmon, raw, ground beef, fresh radishes, and frozen peas) were analyzed by each method. For each food type, 3 inoculation levels were tested: high (average of 2 CFU/g), low (average of 0.2 CFU/g) and uninoculated controls. A total of 25 laboratories representing government and industry participated. Of the 2335 samples analyzed, 1109 were positive by the BAX system and 1115 were positive by the standard method. A Chi square analysis of each of the 6 food types, at the 3 inoculation levels tested, was performed. For all foods, except radishes, the BAX system performed as well as or better than the standard reference methods based on the Chi square results.
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Affiliation(s)
| | | | - W Mark Barbour
- DuPont Qualicon, 3531 Silverside Rd, Bedford Bldg, Wilmington, DE 19810
| | - Peter Mrozinski
- DuPont Qualicon, 3531 Silverside Rd, Bedford Bldg, Wilmington, DE 19810
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Silbernagel K, Jechorek R, Carver C, Barbour WM, Mrozinski P, Albert A, Andaloro B, Anderson G, Beacorn F, Brooks R, Carson M, Crossfield D, Eliasberg S, Farmer D, Frantzeskakis C, Gasses T, Gatesy T, Hall G, Hanson P, Heddaeus K, Hermann K, Hutchins J, Jenkins J, Johnson F, Johnson J, Kawalek M, Kelly L, Koschmann C, Lannon P, Lester D, Manner K, Martin J, Maselli M, McGovern B, Mohnke F, Moon B, Murray L, Pace R, Richards J, Robeson S, Rodgers D, Rosario G, Saunders C, Shaw C, Dana Shell J, Sloan E, Thompson S, Vialpando M, Voermans R, Watts K, Wieczorek K, Wilson K, Yeh H, Zamora D. Evaluation of the BAX® System for Detection of Salmonella in Selected Foods: Collaborative Study. J AOAC Int 2019. [DOI: 10.1093/jaoac/86.6.1149] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
Abstract
A multilaboratory study was conducted to compare the automated BAX® System to the standard cultural methods for detection of Salmonella in selected foods. Five food types—frankfurters, raw ground beef, mozzarella cheese, raw frozen tilapia fish, and orange juice—at 3 inoculation levels, were analyzed by each method. A sixth food type, raw ground chicken, was tested using 3 naturally contaminated lots. A total of 16 laboratories representing government and industry participated. In this study, 1386 samples were analyzed, of which 1188 were paired samples and 198 were unpaired samples. Of the 1188 paired samples, 461 were positive by both methods and 404 were negative by both methods. Thirty-seven samples were positive by the BAX System but negative by the standard reference method, and 11 samples were positive by standard cultural method and negative by the BAX System. Of the 198 unpaired samples, 106 were positive by the BAX System and 60 were positive by the standard cultural method. A Chi square analysis of each of the 6 food types, at the 3 inoculation levels tested, was performed. For all foods, the BAX System demonstrated results comparable to those of the standard reference methods based on the Chi square results.
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Affiliation(s)
| | | | - Charles Carver
- rtech laboratories, PO Box 64101, St. Paul, MN 55164-0101
| | - W Mark Barbour
- DuPont Qualicon, 3531 Silverside Rd, Bedford Building, Wilmington, DE 19810
| | - Peter Mrozinski
- DuPont Qualicon, 3531 Silverside Rd, Bedford Building, Wilmington, DE 19810
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Wilson K, Neylon C, Brookes-Kenworthy C, Hosking R, Huang CK(K, Montgomery L, Ozaygen A. ‘Is the library open?’: Correlating unaffiliated access to academic
libraries with open access support. LIBER Quarterly 2019. [DOI: 10.18352/lq.10298] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
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Abstract
Accurate estimates of the under-five mortality rate in a developing world context are a key barometer of the health of a nation. This paper describes a new model to analyze survey data on mortality in this context. We are interested in both spatial and temporal description, that is wishing to estimate under-five mortality rate across regions and years and to investigate the association between the under-five mortality rate and spatially varying covariate surfaces. We illustrate the methodology by producing yearly estimates for subnational areas in Kenya over the period 1980-2014 using data from the Demographic and Health Surveys, which use stratified cluster sampling. We use a binomial likelihood with fixed effects for the urban/rural strata and random effects for the clustering to account for the complex survey design. Smoothing is carried out using Bayesian hierarchical models with continuous spatial and temporally discrete components. A key component of the model is an offset to adjust for bias due to the effects of HIV epidemics. Substantively, there has been a sharp decline in Kenya in the under-five mortality rate in the period 1980-2014, but large variability in estimated subnational rates remains. A priority for future research is understanding this variability. In exploratory work, we examine whether a variety of spatial covariate surfaces can explain the variability in under-five mortality rate. Temperature, precipitation, a measure of malaria infection prevalence, and a measure of nearness to cities were candidates for inclusion in the covariate model, but the interplay between space, time, and covariates is complex.
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Affiliation(s)
- Jon Wakefield
- Department of Statistics, University of Washington, Seattle, USA
- Department of Biostatistics, University of Washington, Seattle, USA
| | - Geir-Arne Fuglstad
- Department of Mathematical Sciences, Norwegian University of Science and Technology, Trondheim, Norway
| | - Andrea Riebler
- Department of Mathematical Sciences, Norwegian University of Science and Technology, Trondheim, Norway
| | - Jessica Godwin
- Department of Statistics, University of Washington, Seattle, USA
| | - Katie Wilson
- Department of Biostatistics, University of Washington, Seattle, USA
| | - Samuel J Clark
- Department of Sociology, The Ohio State University, Columbus, USA
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Schaffer P, Benard F, Vuckovic M, Zeisler S, Anazodo U, Romsa J, Cross M, Foster S, Gleeson F, Hayashi K, Hook B, Kumlin J, Buckley K, Schlosser J, Wilson K, Dodd M, Hanemaayer V, Kovacs M, Mcdiarmid S, Prato F, Ruth TH, Valliant J. Cyclotron-based production of Tc-99m and other metals. Nucl Med Biol 2019. [DOI: 10.1016/s0969-8051(19)30209-4] [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: 11/30/2022]
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MANNON E, Wilson K, O'Connor P. SAT-328 DIETARY NA+ LOADING WITH NACL OR NAHCO3 PRODUCES SIMILAR CHANGES IN CIRCULATING TH17 AND REGULATORY T-CELLS. Kidney Int Rep 2019. [DOI: 10.1016/j.ekir.2019.05.373] [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: 10/26/2022] Open
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Frank P, Ball S, Thibodeau L, Perry R, Ditullio K, Wilson K, Trivedi A, Villeneuve A. Evaluation of the next generation I-STAT® point-of-care prothrombin time test (I-STAT PTPLUS) against other commercially available prothrombin time tests. Clin Chim Acta 2019. [DOI: 10.1016/j.cca.2019.03.1361] [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: 11/30/2022]
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O'Connor PM, Wilson K, Wilkes T, Patel B, Baban B. Disruption of mesothelial connections to the spleen inhibits splenic anti‐inflammatory responses and protects from the development of insulin resistance in rats. FASEB J 2019. [DOI: 10.1096/fasebj.2019.33.1_supplement.740.4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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Pontefract SK, Wilson K. Using electronic patient records: defining learning outcomes for undergraduate education. BMC Med Educ 2019; 19:30. [PMID: 30670000 PMCID: PMC6341543 DOI: 10.1186/s12909-019-1466-5] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/07/2018] [Accepted: 01/10/2019] [Indexed: 05/26/2023]
Abstract
BACKGROUND Healthcare professionals are required to access, interpret and generate patient data in the digital environment, and use this information to deliver and optimise patient care. Healthcare students are rarely exposed to the technology, or given the opportunity to use this during their training, which can impact on the digital competence of the graduating workforce. In this study we set out to develop and define domains of competence and associated learning outcomes needed by healthcare graduates to commence working in a digital healthcare environment. METHOD A National Working Group was established in the UK to integrate Electronic Patient Records (EPRs) into undergraduate education for healthcare students studying medicine, pharmacy, nursing and midwifery. The working group, comprising 12 academic institutions and representatives from NHS England, NHS Digital and EPR system providers, met to discuss and document key learning outcomes required for using EPRs in the healthcare environment. Outcomes were grouped into six key domains and refined by the group prior to external review by experts working in medical education or with EPRs. RESULTS Six key domains of competence and associated learning outcomes were identified and defined. External expert review provided iterative refinement and amendment. The agreed domains were: 1) Digital Health: work as a practitioner in the digital healthcare environment; 2) Accessing Data: access and interpret patient data to inform clinical decision-making; 3) Communication: communicate effectively with healthcare professionals and patients in the digital environment; 4) Generating data: generate data for and about patients within the EPR; 5) Multidisciplinary working: work with healthcare professionals with and alongside EPRs; and 6) Monitoring and audit: monitor and improve the quality and safety of healthcare. CONCLUSION The six domains of competence and associated learning outcomes can be used by academics to guide the integration of EPRs into undergraduate healthcare programmes. This is key to ensuring that the future healthcare workforce can work with and alongside EPRs.
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Affiliation(s)
- S K Pontefract
- School of Pharmacy, College of Medical and Dental Sciences, University of Birmingham, Institute of Clinical Sciences, Birmingham, B15 2TT, UK
- University Hospitals Birmingham NHS Foundation Trust, Edgbaston, Birmingham, B15 2SP, UK
| | - K Wilson
- Manchester Medical School, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, M13 9PL, UK.
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Turner RBS, Hepworth G, Wilson K, Tyrrell D, Dunshea FR, Mansfield CS. Abdominal volume computed tomography assessment of body composition in dogs. BMC Vet Res 2019; 15:21. [PMID: 30621710 PMCID: PMC6325834 DOI: 10.1186/s12917-018-1768-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2018] [Accepted: 12/27/2018] [Indexed: 02/02/2023] Open
Abstract
Background Computed tomography (CT) has been used to estimate body composition and determine tissue distribution in dogs, despite limited validation. This may introduce error into estimates of body composition studies and its effect on health in dogs. Further, the modality has not been validated against dual-energy X-ray absorptiometry (DXA) or over a wide range of dog breeds, ages and sexes. The objective of this study was to validate the use of semi-automated, abdominal volume CT for estimating total body composition of dogs relative to DXA. Twenty-two staff-owned dogs (weighing between 5.1-60 kg) were sedated and underwent full body DXA scan and abdominal CT. Abdominal tissue composition was estimated by CT using semi-automated volume segmentation, over predetermined tissue Hounsfield threshold values. Abdominal tissue composition determined by the various CT threshold ranges was compared to total body composition determined by DXA. Results Abdominal tissue composition estimated by CT strongly correlated with the estimates derived from DXA with a small Bland-Altman mean percentage differences in values: total body mass (− 250/2000HU: r2 = 0.985; − 1.10%); total fat mass (− 250/-25HU: r2 = 0.981; − 1.90%); total lean tissue mass (− 25/150HU: r2 = 0.972; 3.47%); and total bone mineral content (150/2000HU: r2 = 0.900; − 0.87%). Although averaged CT values compared well to DXA analysis, there was moderate variation in the individual predicted values. There was near perfect inter- and intra-observer agreement in segmentation volumes for abdominal fat. Conclusions Abdominal volume computed tomography (CT) accurately and reliably estimates total body composition in dogs, but greater variations may be observed in dogs weighing less than 10 kg.
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Affiliation(s)
- R B S Turner
- U-Vet Animal Hospital, Faculty of Veterinary and Agricultural Sciences, University of Melbourne, 250 Princes Highway, Werribee, Victoria, 3030, Australia.
| | - G Hepworth
- Statistical Consulting Centre, University of Melbourne, 139 Barry Street, Carlton, Melbourne, Victoria, 3053, Australia
| | - K Wilson
- U-Vet Animal Hospital, Faculty of Veterinary and Agricultural Sciences, University of Melbourne, 250 Princes Highway, Werribee, Victoria, 3030, Australia
| | - D Tyrrell
- U-Vet Animal Hospital, Faculty of Veterinary and Agricultural Sciences, University of Melbourne, 250 Princes Highway, Werribee, Victoria, 3030, Australia
| | - F R Dunshea
- Faculty of Veterinary and Agricultural Sciences, University of Melbourne, Parkville, Victoria, 3052, Australia
| | - C S Mansfield
- U-Vet Animal Hospital, Faculty of Veterinary and Agricultural Sciences, University of Melbourne, 250 Princes Highway, Werribee, Victoria, 3030, Australia
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Mannon EC, Sun J, Wilson K, Brands M, Martinez-Quinones P, Baban B, O'Connor PM. A basic solution to activate the cholinergic anti-inflammatory pathway via the mesothelium? Pharmacol Res 2019; 141:236-248. [PMID: 30616018 DOI: 10.1016/j.phrs.2019.01.007] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [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: 10/11/2018] [Revised: 12/20/2018] [Accepted: 01/03/2019] [Indexed: 12/24/2022]
Abstract
Much research now indicates that vagal nerve stimulation results in a systemic reduction in inflammatory cytokine production and an increase in anti-inflammatory cell populations that originates from the spleen. Termed the 'cholinergic anti-inflammatory pathway', therapeutic activation of this innate physiological response holds enormous promise for the treatment of inflammatory disease. Much controversy remains however, regarding the underlying physiological pathways mediating this response. This controversy is anchored in the fact that the vagal nerve itself does not innervate the spleen. Recent research from our own laboratory indicating that oral intake of sodium bicarbonate stimulates splenic anti-inflammatory pathways, and that this effect may require transmission of signals to the spleen through the mesothelium, provide new insight into the physiological pathways mediating the cholinergic anti-inflammatory pathway. In this review, we examine proposed models of the cholinergic anti-inflammatory pathway and attempt to frame our recent results in relation to these hypotheses. Following this discussion, we then provide an alternative model of the cholinergic anti-inflammatory pathway which is consistent both with our recent findings and the published literature. We then discuss experimental approaches that may be useful to delineate these hypotheses. We believe the outcome of these experiments will be critical in identifying the most appropriate methods to harness the therapeutic potential of the cholinergic anti-inflammatory pathway for the treatment of disease and may also shed light on the etiology of other pathologies, such as idiopathic fibrosis.
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Affiliation(s)
- Elinor C Mannon
- Department of Physiology, Medical College of Georgia, Augusta University, Augusta, GA, United States
| | - Jingping Sun
- Department of Physiology, Medical College of Georgia, Augusta University, Augusta, GA, United States
| | - Katie Wilson
- Department of Physiology, Medical College of Georgia, Augusta University, Augusta, GA, United States
| | - Michael Brands
- Department of Physiology, Medical College of Georgia, Augusta University, Augusta, GA, United States
| | - Patricia Martinez-Quinones
- Department of Physiology, Medical College of Georgia, Augusta University, Augusta, GA, United States; Department of Surgery, Augusta University Medical Center, Augusta University, Augusta, GA, United States
| | - Babak Baban
- Department of Oral Biology, Augusta University, Augusta, GA, United States
| | - Paul M O'Connor
- Department of Physiology, Medical College of Georgia, Augusta University, Augusta, GA, United States
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Wilson K, Stinchcombe A, Kortes-Miller K. BRINGING DIVERSE STORIES OF AGING INTO THE CLASSROOM: A FOCUS ON LGBTQ+ AGING. Innov Aging 2018. [DOI: 10.1093/geroni/igy023.3157] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Affiliation(s)
- K Wilson
- Department of Family Relations & Applied Nutrition, University of Guelph
| | - A Stinchcombe
- Faculty of Human Sciences, Saint Paul University (Ottawa)
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Stinchcombe A, Wilson K. THE MENTAL HEALTH OF AGING SEXUAL MINORITIES IN CANADA: FINDINGS FROM THE CANADIAN LONGITUDINAL STUDY ON AGING (CLSA). Innov Aging 2018. [DOI: 10.1093/geroni/igy023.2476] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Affiliation(s)
| | - K Wilson
- Department of Family Relations & Applied Nutrition, University of Guelph
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Barbour A, Walpole E, Mai G, Barnes L, Watson D, Ackland S, Wills V, Martin J, Burge M, Karapetis C, Shannon J, Nott L, Gebski V, Oostendorp M, Wilson K, Thomas J, Lampe G, Zalcberg J, Simes J, Smithers M. Progression-free survival and recurrence results for AGITG DOCTOR: Pre-op cisplatin, 5FU & DOCetaxel +/-radiotherapy after poor early response to cisplatin & 5FU for resectable oesophageal adenocarcinoma. Ann Oncol 2018. [DOI: 10.1093/annonc/mdy282.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [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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Tita AT, Jablonski KA, Bailit JL, Grobman WA, Wapner RJ, Reddy UM, Varner MW, Thorp JM, Leveno KJ, Caritis SN, Iams JD, Saade G, Sorokin Y, Rouse DJ, Blackwell SC, Tolosa JE, Wallace M, Northen A, Grant J, Colquitt C, Mallett G, Ramos-Brinson M, Roy A, Stein L, Campbell P, Collins C, Jackson N, Dinsmoor M, Senka J, Paychek K, Peaceman A, Talucci M, Zylfijaj M, Reid Z, Leed R, Benson J, Forester S, Kitto C, Davis S, Falk M, Perez C, Hill K, Sowles A, Postma J, Alexander S, Andersen G, Scott V, Morby V, Jolley K, Miller J, Berg B, Dorman K, Mitchell J, Kaluta E, Clark K, Spicer K, Timlin S, Wilson K, Moseley L, Santillan M, Price J, Buentipo K, Bludau V, Thomas T, Fay L, Melton C, Kingsbery J, Benezue R, Simhan H, Bickus M, Fischer D, Kamon T, DeAngelis D, Mercer B, Milluzzi C, Dalton W, Dotson T, McDonald P, Brezine C, McGrail A, Latimer C, Guzzo L, Johnson F, Gerwig L, Fyffe S, Loux D, Frantz S, Cline D, Wylie S, Shubert P, Moss J, Salazar A, Acosta A, Hankins G, Hauff N, Palmer L, Lockhart P, Driscoll D, Wynn L, Sudz C, Dengate D, Girard C, Field S, Breault P, Smith F, Annunziata N, Allard D, Silva J, Gamage M, Hunt J, Tillinghast J, Corcoran N, Jimenez M, Ortiz F, Givens P, Rech B, Moran C, Hutchinson M, Spears Z, Carreno C, Heaps B, Zamora G, Seguin J, Rincon M, Snyder J, Farrar C, Lairson E, Bonino C, Smith W, Beach K, Van Dyke S, Butcher S, Thom E, Zhao Y, McGee P, Momirova V, Palugod R, Reamer B, Larsen M, Spong C, Tolivaisa S, VanDorsten J. Neonatal outcomes of elective early-term births after demonstrated fetal lung maturity. Am J Obstet Gynecol 2018; 219:296.e1-296.e8. [PMID: 29800541 DOI: 10.1016/j.ajog.2018.05.011] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2016] [Revised: 11/09/2016] [Accepted: 05/14/2018] [Indexed: 10/16/2022]
Abstract
BACKGROUND Studies of early-term birth after demonstrated fetal lung maturity show that respiratory and other outcomes are worse with early-term birth (370-386 weeks) even after demonstrated fetal lung maturity when compared with full-term birth (390-406 weeks). However, these studies included medically indicated births and are therefore potentially limited by confounding by the indication for delivery. Thus, the increase in adverse outcomes might be due to the indication for early-term birth rather than the early-term birth itself. OBJECTIVE We examined the prevalence and risks of adverse neonatal outcomes associated with early-term birth after confirmed fetal lung maturity as compared with full-term birth in the absence of indications for early delivery. STUDY DESIGN This is a secondary analysis of an observational study of births to 115,502 women in 25 hospitals in the United States from 2008 through 2011. Singleton nonanomalous births at 37-40 weeks with no identifiable indication for delivery were included; early-term births after positive fetal lung maturity testing were compared with full-term births. The primary outcome was a composite of death, ventilator for ≥2 days, continuous positive airway pressure, proven sepsis, pneumonia or meningitis, treated hypoglycemia, hyperbilirubinemia (phototherapy), and 5-minute Apgar <7. Logistic regression and propensity score matching (both 1:1 and 1:2) were used. RESULTS In all, 48,137 births met inclusion criteria; the prevalence of fetal lung maturity testing in the absence of medical or obstetric indications for early delivery was 0.52% (n = 249). There were 180 (0.37%) early-term births after confirmed pulmonary maturity and 47,957 full-term births. Women in the former group were more likely to be non-Hispanic white, smoke, have received antenatal steroids, have induction, and have a cesarean. Risks of the composite (16.1% vs 5.4%; adjusted odds ratio, 3.2; 95% confidence interval, 2.1-4.8 from logistic regression) were more frequent with elective early-term birth. Propensity scores matching confirmed the increased primary composite in elective early-term births: adjusted odds ratios, 4.3 (95% confidence interval, 1.8-10.5) for 1:1 and 3.5 (95% confidence interval, 1.8-6.5) for 1:2 matching. Among components of the primary outcome, CPAP use and hyperbilirubinemia requiring phototherapy were significantly increased. Transient tachypnea of the newborn, neonatal intensive care unit admission, and prolonged neonatal intensive care unit stay (>2 days) were also increased with early-term birth. CONCLUSION Even with confirmed pulmonary maturity, early-term birth in the absence of medical or obstetric indications is associated with worse neonatal respiratory and hepatic outcomes compared with full-term birth, suggesting relative immaturity of these organ systems in early-term births.
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Mosing M, Waldmann AD, Raisis A, Böhm SH, Drynan E, Wilson K. Monitoring of tidal ventilation by electrical impedance tomography in anaesthetised horses. Equine Vet J 2018; 51:222-226. [PMID: 30035329 DOI: 10.1111/evj.12998] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [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: 02/05/2018] [Accepted: 07/13/2018] [Indexed: 11/30/2022]
Abstract
BACKGROUND Electrical impedance tomography (EIT) is a method to measure regional impedance changes within the thorax. The total tidal impedance variation has been used to measure changes in tidal volumes in pigs, dogs and men. OBJECTIVES To assess the ability of EIT to quantify changes in tidal volume in anaesthetised mechanically ventilated horses. STUDY DESIGN In vivo experimental study. METHODS Six horses (mean ± s.d.: age 11.5 ± 7.5 years and body weight 491 ± 40 kg) were anaesthetised using isoflurane in oxygen. The lungs were mechanically ventilated using a volume-controlled mode. With an end-tidal carbon dioxide tension in the physiological range, and a set tidal volume (VTvent ) of 11-16 mL/kg (baseline volume), EIT data and VT measured by conventional spirometry were collected over 1 min. Thereafter, VTvent was changed in 1 L steps until reaching 10 L. After, VTvent was reduced to 1 L below the baseline volume and then further reduced in 1 L steps until 4 L. On each VT step data were recorded for 1 min after allowing 1 min of stabilisation. Impedance changes within the predefined two lung regions of interest (EITROI ) and the whole image (EITthorax ) were calculated. Linear regression analysis was used to assess the relationship between spirometry data and EITROI and EITthorax for individual horses and pooled data. RESULTS Both EITROI and EITthorax significantly predicted spirometry data for individual horses with R2 ranging from 0.937 to 0.999 and from 0.954 to 0.997 respectively. This was similar for pooled data from all six horses with EITROI (R2 = 0.799; P<0.001) and EITthorax (R2 = 0.841; P<0.001). MAIN LIMITATIONS The method was only tested in healthy mechanically ventilated horses. CONCLUSIONS The EIT can be used to quantify changes in tidal volume.
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Affiliation(s)
- M Mosing
- College of Veterinary Medicine, Murdoch University, Perth, Australia
| | - A D Waldmann
- Swisstom, Landquart, Switzerland.,Department of Pneumology and Critical Care Medicine, Witten/Herdecke University Hospital, Cologne, Germany
| | - A Raisis
- College of Veterinary Medicine, Murdoch University, Perth, Australia
| | - S H Böhm
- Department of Anesthesiology and Intensive Care Medicine, Rostock University Medical Center, Rostock, Germany
| | - E Drynan
- College of Veterinary Medicine, Murdoch University, Perth, Australia
| | - K Wilson
- College of Veterinary Medicine, Murdoch University, Perth, Australia
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Ray SC, Baban B, Tucker MA, Seaton AJ, Chang KC, Mannon EC, Sun J, Patel B, Wilson K, Musall JB, Ocasio H, Irsik D, Filosa JA, Sullivan JC, Marshall B, Harris RA, O'Connor PM. Oral NaHCO 3 Activates a Splenic Anti-Inflammatory Pathway: Evidence That Cholinergic Signals Are Transmitted via Mesothelial Cells. J Immunol 2018; 200:3568-3586. [PMID: 29661827 DOI: 10.4049/jimmunol.1701605] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/21/2017] [Accepted: 03/10/2018] [Indexed: 12/15/2022]
Abstract
We tested the hypothesis that oral NaHCO3 intake stimulates splenic anti-inflammatory pathways. Following oral NaHCO3 loading, macrophage polarization was shifted from predominantly M1 (inflammatory) to M2 (regulatory) phenotypes, and FOXP3+CD4+ T-lymphocytes increased in the spleen, blood, and kidneys of rats. Similar anti-inflammatory changes in macrophage polarization were observed in the blood of human subjects following NaHCO3 ingestion. Surprisingly, we found that gentle manipulation to visualize the spleen at midline during surgical laparotomy (sham splenectomy) was sufficient to abolish the response in rats and resulted in hypertrophy/hyperplasia of the capsular mesothelial cells. Thin collagenous connections lined by mesothelial cells were found to connect to the capsular mesothelium. Mesothelial cells in these connections stained positive for the pan-neuronal marker PGP9.5 and acetylcholine esterase and contained many ultrastructural elements, which visually resembled neuronal structures. Both disruption of the fragile mesothelial connections or transection of the vagal nerves resulted in the loss of capsular mesothelial acetylcholine esterase staining and reduced splenic mass. Our data indicate that oral NaHCO3 activates a splenic anti-inflammatory pathway and provides evidence that the signals that mediate this response are transmitted to the spleen via a novel neuronal-like function of mesothelial cells.
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Affiliation(s)
- Sarah C Ray
- Department of Physiology, Augusta University, Augusta, GA 30912
| | - Babak Baban
- Department of Oral Biology, Augusta University, Augusta, GA 30912
| | - Matthew A Tucker
- Georgia Prevention Institute, Augusta University, Augusta, GA 30912; and
| | - Alec J Seaton
- Department of Physiology, Augusta University, Augusta, GA 30912
| | - Kyu Chul Chang
- Department of Physiology, Augusta University, Augusta, GA 30912
| | - Elinor C Mannon
- Department of Physiology, Augusta University, Augusta, GA 30912
| | - Jingping Sun
- Department of Physiology, Augusta University, Augusta, GA 30912
| | - Bansari Patel
- Department of Physiology, Augusta University, Augusta, GA 30912
| | - Katie Wilson
- Department of Physiology, Augusta University, Augusta, GA 30912
| | | | - Hiram Ocasio
- Department of Physiology, Augusta University, Augusta, GA 30912
| | - Debra Irsik
- Department of Physiology, Augusta University, Augusta, GA 30912
| | | | | | - Brendan Marshall
- Department of Cell Biology and Anatomy, Augusta University, Augusta, GA 30912
| | - Ryan A Harris
- Georgia Prevention Institute, Augusta University, Augusta, GA 30912; and
| | - Paul M O'Connor
- Department of Physiology, Augusta University, Augusta, GA 30912;
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