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Sandu O, Aldabagh M, Alvarado G, Jeon H, Yeddu H, Cohen A, Sharlow A, Lamar A, Weiner M, Kizer J, Jones S, Goldberg Y. Outreach and equity in patient centered outcomes research: Lessons from the adaptable study at Montefiore hospital. Atherosclerosis 2021. [DOI: 10.1016/j.atherosclerosis.2021.06.834] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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Patel M, Fhadil S, Zemrak F, Wright P, Rochford C, Jones S, Earley M, Antoniou S. Pharmacist-led medicines optimisation clinic for implantable cardiac device patients. Eur J Cardiovasc Nurs 2021. [DOI: 10.1093/eurjcn/zvab060.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
Abstract
Funding Acknowledgements
Type of funding sources: None.
Background/Introduction: Cardiac implantable electronic devices (CIED) enhance detection of atrial fibrillation (AF), providing a comprehensive measure of AF burden. Patients with device-detected AF are usually referred for anticoagulation to their local anticoagulation clinic or General Practitioner (GP), which often delays time to initiation, potentially increasing the risk of stroke. In addition, AF is associated with increased risk of cardiovascular disease and mortality. Optimising blood pressure, cholesterol and lifestyle choices can significantly reduce the risk of cardiovascular disease and associated mortality in these patients.
Purpose
To develop and evaluate an innovative pathway to allow Specialist Cardiac Pharmacists to promptly assess and initiate anticoagulation in patients with device-detected AF, and additionally address risk factors for prevention of cardiovascular disease.
Methods
As part of a quality improvement initiative, a pathway was developed where patients with AF identified on CIED who require anticoagulation are referred for assessment and management to a pharmacist-led optimisation clinic. Specialist Cardiac Pharmacists contact patients within 5 days of referral to discuss and initiate or optimise treatment for AF, blood pressure, cholesterol and lifestyle choices. Patients deemed inappropriate for anticoagulation were referred back to the medical team for further assessment. All patients received a follow-up telephone consultation at 4-6 weeks to assess tolerability, adherence and response to treatment.
Results
Between September 2020 and February 2021, 22 patients were referred to the optimisation clinic. Mean age was 74.32 +/- 12.34 years and 77% were men. Mean CHA2DS2VASc was 3.4 +/- 0.8 and mean HASBLED was 1.2 +/- 0.6. The average time from referral to anticoagulation was 3 days compared to 4 weeks prior to implementation of the pathway. All patients were assessed and appropriately anticoagulated, whereas approximately 15% of patients were still not anticoagulated at 3 months prior to implementation of the pathway despite referral to their local clinic. All patients had their blood pressure and cholesterol reviewed, which were optimised in 23% and 41% of patients respectively. All patients confirmed adherence and suffered no adverse effects on follow-up.
Conclusion(s): We report the safe and successful implementation of a pharmacist-led medicines optimisation clinic. This has significantly reduced time to anticoagulation without compromising safety, as well as assuring all patients are appropriately anticoagulated. In addition, over half of patients required blood pressure and/or cholesterol optimisation to reduce the risk of cardiovascular disease, a service not previously provided for this cohort of patients.
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Bhuva AN, D'Silva A, Torlasco C, Nadarajan N, Jones S, Boubertakh R, Van Zalen J, Scully P, Knott K, Benedetti G, Augusto JB, Bastiaenen R, Lloyd G, Sharma S, Moon JC, Parker KH, Manisty CH, Hughes AD. Non-invasive assessment of ventriculo-arterial coupling using aortic wave intensity analysis combining central blood pressure and phase-contrast cardiovascular magnetic resonance. Eur Heart J Cardiovasc Imaging 2021; 21:805-813. [PMID: 31501858 DOI: 10.1093/ehjci/jez227] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/11/2019] [Revised: 07/01/2019] [Accepted: 08/20/2019] [Indexed: 01/10/2023] Open
Abstract
BACKGROUND Wave intensity analysis (WIA) in the aorta offers important clinical and mechanistic insight into ventriculo-arterial coupling, but is difficult to measure non-invasively. We performed WIA by combining standard cardiovascular magnetic resonance (CMR) flow-velocity and non-invasive central blood pressure (cBP) waveforms. METHODS AND RESULTS Two hundred and six healthy volunteers (age range 21-73 years, 47% male) underwent sequential phase contrast CMR (Siemens Aera 1.5 T, 1.97 × 1.77 mm2, 9.2 ms temporal resolution) and supra-systolic oscillometric cBP measurement (200 Hz). Velocity (U) and central pressure (P) waveforms were aligned using the waveform foot, and local wave speed was calculated both from the PU-loop (c) and the sum of squares method (cSS). These were compared with CMR transit time derived aortic arch pulse wave velocity (PWVtt). Associations were examined using multivariable regression. The peak intensity of the initial compression wave, backward compression wave, and forward decompression wave were 69.5 ± 28, -6.6 ± 4.2, and 6.2 ± 2.5 × 104 W/m2/cycle2, respectively; reflection index was 0.10 ± 0.06. PWVtt correlated with c or cSS (r = 0.60 and 0.68, respectively, P < 0.01 for both). Increasing age decade and female sex were independently associated with decreased forward compression wave (-8.6 and -20.7 W/m2/cycle2, respectively, P < 0.01) and greater wave reflection index (0.02 and 0.03, respectively, P < 0.001). CONCLUSION This novel non-invasive technique permits straightforward measurement of wave intensity at scale. Local wave speed showed good agreement with PWVtt, and correlation was stronger using the cSS than the PU-loop. Ageing and female sex were associated with poorer ventriculo-arterial coupling in healthy individuals.
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Brown O, Mou T, Lim S, Jones S, Kwasny M, Mueller M, Kenton K. 05 Do letters of recommendations for obstetrics and gynecology residency applicants differ by gender and race? a mixed-methods study. Am J Obstet Gynecol 2021. [DOI: 10.1016/j.ajog.2021.04.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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Li F, Lozier MS, Bacon S, Bower AS, Cunningham SA, de Jong MF, deYoung B, Fraser N, Fried N, Han G, Holliday NP, Holte J, Houpert L, Inall ME, Johns WE, Jones S, Johnson C, Karstensen J, Le Bras IA, Lherminier P, Lin X, Mercier H, Oltmanns M, Pacini A, Petit T, Pickart RS, Rayner D, Straneo F, Thierry V, Visbeck M, Yashayaev I, Zhou C. Subpolar North Atlantic western boundary density anomalies and the Meridional Overturning Circulation. Nat Commun 2021; 12:3002. [PMID: 34031423 PMCID: PMC8144605 DOI: 10.1038/s41467-021-23350-2] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2020] [Accepted: 04/21/2021] [Indexed: 11/29/2022] Open
Abstract
Changes in the Atlantic Meridional Overturning Circulation, which have the potential to drive societally-important climate impacts, have traditionally been linked to the strength of deep water formation in the subpolar North Atlantic. Yet there is neither clear observational evidence nor agreement among models about how changes in deep water formation influence overturning. Here, we use data from a trans-basin mooring array (OSNAP-Overturning in the Subpolar North Atlantic Program) to show that winter convection during 2014-2018 in the interior basin had minimal impact on density changes in the deep western boundary currents in the subpolar basins. Contrary to previous modeling studies, we find no discernable relationship between western boundary changes and subpolar overturning variability over the observational time scales. Our results require a reconsideration of the notion of deep western boundary changes representing overturning characteristics, with implications for constraining the source of overturning variability within and downstream of the subpolar region.
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Abi B, Acciarri R, Acero MA, Adamov G, Adams D, Adinolfi M, Ahmad Z, Ahmed J, Alion T, Monsalve SA, Alt C, Anderson J, Andreopoulos C, Andrews MP, Andrianala F, Andringa S, Ankowski A, Antonova M, Antusch S, Aranda-Fernandez A, Ariga A, Arnold LO, Arroyave MA, Asaadi J, Aurisano A, Aushev V, Autiero D, Azfar F, Back H, Back JJ, Backhouse C, Baesso P, Bagby L, Bajou R, Balasubramanian S, Baldi P, Bambah B, Barao F, Barenboim G, Barker GJ, Barkhouse W, Barnes C, Barr G, Monarca JB, Barros N, Barrow JL, Bashyal A, Basque V, Bay F, Alba JLB, Beacom JF, Bechetoille E, Behera B, Bellantoni L, Bellettini G, Bellini V, Beltramello O, Belver D, Benekos N, Neves FB, Berger J, Berkman S, Bernardini P, Berner RM, Berns H, Bertolucci S, Betancourt M, Bezawada Y, Bhattacharjee M, Bhuyan B, Biagi S, Bian J, Biassoni M, Biery K, Bilki B, Bishai M, Bitadze A, Blake A, Siffert BB, Blaszczyk FDM, Blazey GC, Blucher E, Boissevain J, Bolognesi S, Bolton T, Bonesini M, Bongrand M, Bonini F, Booth A, Booth C, Bordoni S, Borkum A, Boschi T, Bostan N, Bour P, Boyd SB, Boyden D, Bracinik J, Braga D, Brailsford D, Brandt A, Bremer J, Brew C, Brianne E, Brice SJ, Brizzolari C, Bromberg C, Brooijmans G, Brooke J, Bross A, Brunetti G, Buchanan N, Budd H, Caiulo D, Calafiura P, Calcutt J, Calin M, Calvez S, Calvo E, Camilleri L, Caminata A, Campanelli M, Caratelli D, Carini G, Carlus B, Carniti P, Terrazas IC, Carranza H, Castillo A, Castromonte C, Cattadori C, Cavalier F, Cavanna F, Centro S, Cerati G, Cervelli A, Villanueva AC, Chalifour M, Chang C, Chardonnet E, Chatterjee A, Chattopadhyay S, Chaves J, Chen H, Chen M, Chen Y, Cherdack D, Chi C, Childress S, Chiriacescu A, Cho K, Choubey S, Christensen A, Christian D, Christodoulou G, Church E, Clarke P, Coan TE, Cocco AG, Coelho JAB, Conley E, Conrad JM, Convery M, Corwin L, Cotte P, Cremaldi L, Cremonesi L, Crespo-Anadón JI, Cristaldo E, Cross R, Cuesta C, Cui Y, Cussans D, Dabrowski M, da Motta H, Peres LDS, David C, David Q, Davies GS, Davini S, Dawson J, De K, De Almeida RM, Debbins P, De Bonis I, Decowski MP, de Gouvêa A, De Holanda PC, De Icaza Astiz IL, Deisting A, De Jong P, Delbart A, Delepine D, Delgado M, Dell’Acqua A, De Lurgio P, de Mello Neto JRT, DeMuth DM, Dennis S, Densham C, Deptuch G, De Roeck A, De Romeri V, De Vries JJ, Dharmapalan R, Dias M, Diaz F, Díaz JS, Di Domizio S, Di Giulio L, Ding P, Di Noto L, Distefano C, Diurba R, Diwan M, Djurcic Z, Dokania N, Dolinski MJ, Domine L, Douglas D, Drielsma F, Duchesneau D, Duffy K, Dunne P, Durkin T, Duyang H, Dvornikov O, Dwyer DA, Dyshkant AS, Eads M, Edmunds D, Eisch J, Emery S, Ereditato A, Escobar CO, Sanchez LE, Evans JJ, Ewart E, Ezeribe AC, Fahey K, Falcone A, Farnese C, Farzan Y, Felix J, Fernandez-Martinez E, Fernandez Menendez P, Ferraro F, Fields L, Filkins A, Filthaut F, Fitzpatrick RS, Flanagan W, Fleming B, Flight R, Fowler J, Fox W, Franc J, Francis K, Franco D, Freeman J, Freestone J, Fried J, Friedland A, Fuess S, Furic I, Furmanski AP, Gago A, Gallagher H, Gallego-Ros A, Gallice N, Galymov V, Gamberini E, Gamble T, Gandhi R, Gandrajula R, Gao S, Garcia-Gamez D, García-Peris MÁ, Gardiner S, Gastler D, Ge G, Gelli B, Gendotti A, Gent S, Ghorbani-Moghaddam Z, Gibin D, Gil-Botella I, Girerd C, Giri AK, Gnani D, Gogota O, Gold M, Gollapinni S, Gollwitzer K, Gomes RA, Bermeo LVG, Fajardo LSG, Gonnella F, Gonzalez-Cuevas JA, Goodman MC, Goodwin O, Goswami S, Gotti C, Goudzovski E, Grace C, Graham M, Gramellini E, Gran R, Granados E, Grant A, Grant C, Gratieri D, Green P, Green S, Greenler L, Greenwood M, Greer J, Griffith WC, Groh M, Grudzinski J, Grzelak K, Gu W, Guarino V, Guenette R, Guglielmi A, Guo B, Guthikonda KK, Gutierrez R, Guzowski P, Guzzo MM, Gwon S, Habig A, Hackenburg A, Hadavand H, Haenni R, Hahn A, Haigh J, Haiston J, Hamernik T, Hamilton P, Han J, Harder K, Harris DA, Hartnell J, Hasegawa T, Hatcher R, Hazen E, Heavey A, Heeger KM, Heise J, Hennessy K, Henry S, Morquecho MAH, Herner K, Hertel L, Hesam AS, Hewes J, Higuera A, Hill T, Hillier SJ, Himmel A, Hoff J, Hohl C, Holin A, Hoppe E, Horton-Smith GA, Hostert M, Hourlier A, Howard B, Howell R, Huang J, Huang J, Hugon J, Iles G, Ilic N, Iliescu AM, Illingworth R, Ioannisian A, Itay R, Izmaylov A, James E, Jargowsky B, Jediny F, Jesùs-Valls C, Ji X, Jiang L, Jiménez S, Jipa A, Joglekar A, Johnson C, Johnson R, Jones B, Jones S, Jung CK, Junk T, Jwa Y, Kabirnezhad M, Kaboth A, Kadenko I, Kamiya F, Karagiorgi G, Karcher A, Karolak M, Karyotakis Y, Kasai S, Kasetti SP, Kashur L, Kazaryan N, Kearns E, Keener P, Kelly KJ, Kemp E, Ketchum W, Kettell SH, Khabibullin M, Khotjantsev A, Khvedelidze A, Kim D, King B, Kirby B, Kirby M, Klein J, Koehler K, Koerner LW, Kohn S, Koller PP, Kordosky M, Kosc T, Kose U, Kostelecký VA, Kothekar K, Krennrich F, Kreslo I, Kudenko Y, Kudryavtsev VA, Kulagin S, Kumar J, Kumar R, Kuruppu C, Kus V, Kutter T, Lambert A, Lande K, Lane CE, Lang K, Langford T, Lasorak P, Last D, Lastoria C, Laundrie A, Lawrence A, Lazanu I, LaZur R, Le T, Learned J, LeBrun P, Miotto GL, Lehnert R, de Oliveira MAL, Leitner M, Leyton M, Li L, Li S, Li SW, Li T, Li Y, Liao H, Lin CS, Lin S, Lister A, Littlejohn BR, Liu J, Lockwitz S, Loew T, Lokajicek M, Lomidze I, Long K, Loo K, Lorca D, Lord T, LoSecco JM, Louis WC, Luk KB, Luo X, Lurkin N, Lux T, Luzio VP, MacFarland D, Machado AA, Machado P, Macias CT, Macier JR, Maddalena A, Madigan P, Magill S, Mahn K, Maio A, Maloney JA, Mandrioli G, Maneira J, Manenti L, Manly S, Mann A, Manolopoulos K, Plata MM, Marchionni A, Marciano W, Marfatia D, Mariani C, Maricic J, Marinho F, Marino AD, Marshak M, Marshall C, Marshall J, Marteau J, Martin-Albo J, Martinez N, Caicedo DAM, Martynenko S, Mason K, Mastbaum A, Masud M, Matsuno S, Matthews J, Mauger C, Mauri N, Mavrokoridis K, Mazza R, Mazzacane A, Mazzucato E, McCluskey E, McConkey N, McFarland KS, McGrew C, McNab A, Mefodiev A, Mehta P, Melas P, Mellinato M, Mena O, Menary S, Mendez H, Menegolli A, Meng G, Messier MD, Metcalf W, Mewes M, Meyer H, Miao T, Michna G, Miedema T, Migenda J, Milincic R, Miller W, Mills J, Milne C, Mineev O, Miranda OG, Miryala S, Mishra CS, Mishra SR, Mislivec A, Mladenov D, Mocioiu I, Moffat K, Moggi N, Mohanta R, Mohayai TA, Mokhov N, Molina J, Bueno LM, Montanari A, Montanari C, Montanari D, Zetina LMM, Moon J, Mooney M, Moor A, Moreno D, Morgan B, Morris C, Mossey C, Motuk E, Moura CA, Mousseau J, Mu W, Mualem L, Mueller J, Muether M, Mufson S, Muheim F, Muir A, Mulhearn M, Muramatsu H, Murphy S, Musser J, Nachtman J, Nagu S, Nalbandyan M, Nandakumar R, Naples D, Narita S, Navas-Nicolás D, Nayak N, Nebot-Guinot M, Necib L, Negishi K, Nelson JK, Nesbit J, Nessi M, Newbold D, Newcomer M, Newhart D, Nichol R, Niner E, Nishimura K, Norman A, Norrick A, Northrop R, Novella P, Nowak JA, Oberling M, Del Campo AO, Olivier A, Onel Y, Onishchuk Y, Ott J, Pagani L, Pakvasa S, Palamara O, Palestini S, Paley JM, Pallavicini M, Palomares C, Pantic E, Paolone V, Papadimitriou V, Papaleo R, Papanestis A, Paramesvaran S, Park JC, Parke S, Parsa Z, Parvu M, Pascoli S, Pasqualini L, Pasternak J, Pater J, Patrick C, Patrizii L, Patterson RB, Patton SJ, Patzak T, Paudel A, Paulos B, Paulucci L, Pavlovic Z, Pawloski G, Payne D, Pec V, Peeters SJM, Penichot Y, Pennacchio E, Penzo A, Peres OLG, Perry J, Pershey D, Pessina G, Petrillo G, Petta C, Petti R, Piastra F, Pickering L, Pietropaolo F, Pillow J, Pinzino J, Plunkett R, Poling R, Pons X, Poonthottathil N, Pordes S, Potekhin M, Potenza R, Potukuchi BVKS, Pozimski J, Pozzato M, Prakash S, Prakash T, Prince S, Prior G, Pugnere D, Qi K, Qian X, Raaf JL, Raboanary R, Radeka V, Rademacker J, Radics B, Rafique A, Raguzin E, Rai M, Rajaoalisoa M, Rakhno I, Rakotondramanana HT, Rakotondravohitra L, Ramachers YA, Rameika R, Delgado MAR, Ramson B, Rappoldi A, Raselli G, Ratoff P, Ravat S, Razafinime H, Real JS, Rebel B, Redondo D, Reggiani-Guzzo M, Rehak T, Reichenbacher J, Reitzner SD, Renshaw A, Rescia S, Resnati F, Reynolds A, Riccobene G, Rice LCJ, Rielage K, Rigaut Y, Rivera D, Rochester L, Roda M, Rodrigues P, Alonso MJR, Rondon JR, Roeth AJ, Rogers H, Rosauro-Alcaraz S, Rossella M, Rout J, Roy S, Rubbia A, Rubbia C, Russell B, Russell J, Ruterbories D, Saakyan R, Sacerdoti S, Safford T, Sahu N, Sala P, Samios N, Sanchez MC, Sanders DA, Sankey D, Santana S, Santos-Maldonado M, Saoulidou N, Sapienza P, Sarasty C, Sarcevic I, Savage G, Savinov V, Scaramelli A, Scarff A, Scarpelli A, Schaffer T, Schellman H, Schlabach P, Schmitz D, Scholberg K, Schukraft A, Segreto E, Sensenig J, Seong I, Sergi A, Sergiampietri F, Sgalaberna D, Shaevitz MH, Shafaq S, Shamma M, Sharma HR, Sharma R, Shaw T, Shepherd-Themistocleous C, Shin S, Shooltz D, Shrock R, Simard L, Simos N, Sinclair J, Sinev G, Singh J, Singh J, Singh V, Sipos R, Sippach FW, Sirri G, Sitraka A, Siyeon K, Smargianaki D, Smith A, Smith A, Smith E, Smith P, Smolik J, Smy M, Snopok P, Nunes MS, Sobel H, Soderberg M, Salinas CJS, Söldner-Rembold S, Solomey N, Solovov V, Sondheim WE, Sorel M, Soto-Oton J, Sousa A, Soustruznik K, Spagliardi F, Spanu M, Spitz J, Spooner NJC, Spurgeon K, Staley R, Stancari M, Stanco L, Steiner HM, Stewart J, Stillwell B, Stock J, Stocker F, Stocks D, Stokes T, Strait M, Strauss T, Striganov S, Stuart A, Summers D, Surdo A, Susic V, Suter L, Sutera CM, Svoboda R, Szczerbinska B, Szelc AM, Talaga R, Tanaka HA, Oregui BT, Tapper A, Tariq S, Tatar E, Tayloe R, Teklu AM, Tenti M, Terao K, Ternes CA, Terranova F, Testera G, Thea A, Thompson JL, Thorn C, Timm SC, Todd J, Tonazzo A, Torti M, Tortola M, Tortorici F, Totani D, Toups M, Touramanis C, Trevor J, Trzaska WH, Tsai YT, Tsamalaidze Z, Tsang KV, Tsverava N, Tufanli S, Tull C, Tyley E, Tzanov M, Uchida MA, Urheim J, Usher T, Vagins MR, Vahle P, Valdiviesso GA, Valencia E, Vallari Z, Valle JWF, Vallecorsa S, Berg RV, de Water RGV, Forero DV, Varanini F, Vargas D, Varner G, Vasel J, Vasseur G, Vaziri K, Ventura S, Verdugo A, Vergani S, Vermeulen MA, Verzocchi M, de Souza HV, Vignoli C, Vilela C, Viren B, Vrba T, Wachala T, Waldron AV, Wallbank M, Wang H, Wang J, Wang Y, Wang Y, Warburton K, Warner D, Wascko M, Waters D, Watson A, Weatherly P, Weber A, Weber M, Wei H, Weinstein A, Wenman D, Wetstein M, While MR, White A, Whitehead LH, Whittington D, Wilking MJ, Wilkinson C, Williams Z, Wilson F, Wilson RJ, Wolcott J, Wongjirad T, Wood K, Wood L, Worcester E, Worcester M, Wret C, Wu W, Wu W, Xiao Y, Yang G, Yang T, Yershov N, Yonehara K, Young T, Yu B, Yu J, Zaki R, Zalesak J, Zambelli L, Zamorano B, Zani A, Zazueta L, Zeller GP, Zennamo J, Zeug K, Zhang C, Zhao M, Zhao Y, Zhivun E, Zhu G, Zimmerman ED, Zito M, Zucchelli S, Zuklin J, Zutshi V, Zwaska R. Prospects for beyond the Standard Model physics searches at the Deep Underground Neutrino Experiment: DUNE Collaboration. THE EUROPEAN PHYSICAL JOURNAL. C, PARTICLES AND FIELDS 2021; 81:322. [PMID: 34720713 PMCID: PMC8550327 DOI: 10.1140/epjc/s10052-021-09007-w] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/10/2020] [Accepted: 02/23/2021] [Indexed: 06/13/2023]
Abstract
The Deep Underground Neutrino Experiment (DUNE) will be a powerful tool for a variety of physics topics. The high-intensity proton beams provide a large neutrino flux, sampled by a near detector system consisting of a combination of capable precision detectors, and by the massive far detector system located deep underground. This configuration sets up DUNE as a machine for discovery, as it enables opportunities not only to perform precision neutrino measurements that may uncover deviations from the present three-flavor mixing paradigm, but also to discover new particles and unveil new interactions and symmetries beyond those predicted in the Standard Model (SM). Of the many potential beyond the Standard Model (BSM) topics DUNE will probe, this paper presents a selection of studies quantifying DUNE's sensitivities to sterile neutrino mixing, heavy neutral leptons, non-standard interactions, CPT symmetry violation, Lorentz invariance violation, neutrino trident production, dark matter from both beam induced and cosmogenic sources, baryon number violation, and other new physics topics that complement those at high-energy colliders and significantly extend the present reach.
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Grants
- MR/T019530/1 Medical Research Council
- MR/T041323/1 Medical Research Council
- MSMT, Czech Republic
- NRF, South Korea
- Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada
- Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
- SERI, Switzerland
- Fundação de Amparo à Pesquisa do Estado de São Paulo
- U.S. Department of Energy
- CERN
- Türkiye Bilimsel ve Teknolojik Arastirma Kurumu
- The Royal Society, United Kingdom
- Canada Foundation for Innovation
- U.S. NSF
- FCT, Portugal
- CEA, France
- CNRS/IN2P3, France
- European Regional Development Fund
- Science and Technology Facilities Council
- H2020-EU, European Union
- IPP, Canada
- Conselho Nacional de Desenvolvimento Científico e Tecnológico
- Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro
- CAM, Spain
- MSCA, European Union
- Instituto Nazionale di Fisica Nucleare
- Fundacção de Amparo à Pesquisa do Estado de Goiás
- Ministerio de Ciencia e Innovación
- Fundacion “La Caixa” Spain
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Aad G, Abbott B, Abbott DC, Abed Abud A, Abeling K, Abhayasinghe DK, Abidi SH, AbouZeid OS, Abraham NL, Abramowicz H, Abreu H, Abulaiti Y, Acharya BS, Achkar B, Adachi S, Adam L, Adam Bourdarios C, Adamczyk L, Adamek L, Adelman J, Adersberger M, Adiguzel A, Adorni S, Adye T, Affolder AA, Afik Y, Agapopoulou C, Agaras MN, Aggarwal A, Agheorghiesei C, Aguilar-Saavedra JA, Ahmadov F, Ahmed WS, Ai X, Aielli G, Akatsuka S, Åkesson TPA, Akilli E, Akimov AV, Al Khoury K, Alberghi GL, Albert J, Alconada Verzini MJ, Alderweireldt S, Aleksa M, Aleksandrov IN, Alexa C, Alexopoulos T, Alfonsi A, Alfonsi F, Alhroob M, Ali B, Aliev M, Alimonti G, Allaire C, Allbrooke BMM, Allen BW, Allport PP, Aloisio A, Alonso F, Alpigiani C, Alshehri AA, Alunno Camelia E, Alvarez Estevez M, Alviggi MG, Amaral Coutinho Y, Ambler A, Ambroz L, Amelung C, Amidei D, Amor Dos Santos SP, Amoroso S, Amrouche CS, An F, Anastopoulos C, Andari N, Andeen T, Anders CF, Anders JK, Andrean SY, Andreazza A, Andrei V, Anelli CR, 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Zakareishvili T, Zakharchuk N, Zambito S, Zanzi D, Zaripovas DR, Zeißner SV, Zeitnitz C, Zemaityte G, Zeng JC, Zenin O, Ženiš T, Zerwas D, Zgubič M, Zhang B, Zhang DF, Zhang G, Zhang H, Zhang J, Zhang K, Zhang L, Zhang L, Zhang M, Zhang R, Zhang S, Zhang X, Zhang X, Zhang Y, Zhang Z, Zhang Z, Zhao P, Zhao Z, Zhemchugov A, Zheng Z, Zhong D, Zhou B, Zhou C, Zhou H, Zhou MS, Zhou M, Zhou N, Zhou Y, Zhu CG, Zhu C, Zhu HL, Zhu H, Zhu J, Zhu Y, Zhuang X, Zhukov K, Zhulanov V, Zieminska D, Zimine NI, Zimmermann S, Zinonos Z, Ziolkowski M, Živković L, Zobernig G, Zoccoli A, Zoch K, Zorbas TG, Zou R, Zwalinski L. Longitudinal Flow Decorrelations in Xe+Xe Collisions at sqrt[s_{NN}]=5.44 TeV with the ATLAS Detector. PHYSICAL REVIEW LETTERS 2021; 126:122301. [PMID: 33834811 DOI: 10.1103/physrevlett.126.122301] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/14/2020] [Revised: 06/16/2020] [Accepted: 02/12/2021] [Indexed: 06/12/2023]
Abstract
The first measurement of longitudinal decorrelations of harmonic flow amplitudes v_{n} for n=2-4 in Xe+Xe collisions at sqrt[s_{NN}]=5.44 TeV is obtained using 3 μb^{-1} of data with the ATLAS detector at the LHC. The decorrelation signal for v_{3} and v_{4} is found to be nearly independent of collision centrality and transverse momentum (p_{T}) requirements on final-state particles, but for v_{2} a strong centrality and p_{T} dependence is seen. When compared with the results from Pb+Pb collisions at sqrt[s_{NN}]=5.02 TeV, the longitudinal decorrelation signal in midcentral Xe+Xe collisions is found to be larger for v_{2}, but smaller for v_{3}. Current hydrodynamic models reproduce the ratios of the v_{n} measured in Xe+Xe collisions to those in Pb+Pb collisions but fail to describe the magnitudes and trends of the ratios of longitudinal flow decorrelations between Xe+Xe and Pb+Pb. The results on the system-size dependence provide new insights and an important lever arm to separate effects of the longitudinal structure of the initial state from other early and late time effects in heavy-ion collisions.
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Francis M, Balwani M, Balistreri W, D’Antiga L, Fang S, Jones S, Ros E, Abel F, Wilson D. A216 CLINICAL MANIFESTATIONS OF LYSOSOMAL ACID LIPASE DEFICIENCY (LAL-D): THE INTERNATIONAL LAL-D REGISTRY. J Can Assoc Gastroenterol 2021. [DOI: 10.1093/jcag/gwab002.214] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Background
Lysosomal acid lipase deficiency (LAL-D) is a rare, autosomal recessive disease caused by pathogenic variants in the LIPA gene. Lysosomal accumulation of cholesteryl esters and triglycerides leads to cirrhosis and dyslipidemia across a clinical spectrum, and affect both infants and children/adults.
Aims
An international registry (NCT01633489; Alexion Pharmaceuticals, Inc.; 2013–ongoing) was established to better understand the natural history of lysosomal acid lipase deficiency (LAL-D) and to evaluate long-term treatment outcomes.
Methods
Baseline findings for patients enrolled through July 1, 2019 are presented. Of 190 patients enrolled, 35 were excluded from this analysis (LIPA carrier, deceased at enrollment, unconfirmed LAL-D diagnosis); 155 patients with confirmed LAL-D diagnosis were included (12 infants, 143 children/adults). LAL enzyme activity analysis was performed for 145/154 patients (94%) and genetic testing for 128/154 patients (83%).
Results
Of 105 children/adults with reported LIPA mutations, 39 were homozygous and 34 were compound heterozygous for the common LIPA mutation E8SJM (c.894G>A); 6 infants with reported LIPA mutations were homozygotes and 2 were compound heterozygotes. Of the 155 patients, 62% were <18 years, 52% were male, and 85% were white. Median (range) age at clinical onset was 0.2 years (0.0–0.7) among infants and 6.0 years (0.0–41.3) among 133 children/adults with data; median (range) age at diagnosis was 0.2 years (−0.1 to 1.2) among infants and 10.8 years (0.2–53.6) among 135 children/adults with data. Manifestations that raised suspicion of LAL-D were reported in 149/155 patients. Infants (12 with data) presented predominantly with hepatomegaly (75%), splenomegaly (58%), nausea/vomiting (58%), and diarrhea (50%), and 50% had a known family history of LAL-D. Children/adults (n=143) presented predominantly with elevated alanine aminotransferase levels (67%), hepatomegaly (66%), and elevated aspartate aminotransferase levels (65%). Of 74 children/adults with baseline liver biopsy, 58% had microvesicular steatosis, 16% had micro- and macrovesicular steatosis, and 32% had lobular inflammation. Of the 155 patients, 6% had a medical history of cirrhosis. Analyses exploring the genotype-phenotype relationship will be presented.
Conclusions
Registry data of >150 LAL-D patients demonstrate early symptom onset, variable clinical manifestations, and a significant diagnostic delay in children/adults.
Funding Agencies
Alexion Pharmaceuticals, Inc.
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Trotter RE, Vazquez AR, Grubb DS, Freedman KE, Grabos LE, Jones S, Gentile CL, Melby CL, Johnson SA, Weir TL. Bacillus subtilis DE111 intake may improve blood lipids and endothelial function in healthy adults. Benef Microbes 2020; 11:621-630. [PMID: 33161737 PMCID: PMC8773468 DOI: 10.3920/bm2020.0039] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
Cardiovascular disease (CVD) is the leading cause of death in the US and worldwide. By 2030 it is anticipated that CVD will claim the lives of more than 24 million people. Throughout the last decade, researchers have investigated the role of the gut microbiota in the development of CVD. Evidence exists for a positive correlation between Bifidobacterium and vascular function, glucose tolerance, and reduced systemic inflammation. Another probiotic species, Bacillus subtilis, has also been found to reduce cholesterol levels in human and animal models. In light of these data, we examined various measures of cardiovascular health after consumption of Bifidobacterium animalis subsp. lactis strain BL04, with and without a cocktail of Escherichia coli-targeting bacteriophages (marketed as PreforPro), Bacillus subtilis strain DE111 or a maltodextrin-based placebo in a healthy human population. In a randomised, double-blind, placebo-controlled 4-week intervention conducted in individuals 18 to 65 years of age with a body mass index of 20 to 34.9, we saw no significant changes in measured CVD parameters among individuals consuming B. lactis with or without bacteriophages. However, B. subtilis supplementation resulted in a significant reduction in total cholesterol relative to baseline measures (−8 mg/dl; P=0.04, confidence interval (CI): −13.40, −0.19), as well as non-high-density lipoprotein-cholesterol (−11 mg/dl; P=0.01, CI: −12.43, −2.07). In addition we observed trending improvements in endothelial function (P=0.05, CI: −0.003, 0.370) and in low-density lipoprotein-cholesterol (P=0.06, CI: −12.29, 0.2864). Strikingly, these effects were seen in a largely healthy population. These data suggest that B. subtilis supplementation may be beneficial for improving risk factors associated with CVD. Further studies in populations of older adults or those with dyslipidaemia and endothelial dysfunction is warranted.
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Ji J, Goldman J, Garassino M, Chen Y, Reinmuth N, Hotta K, Poltoratskiy A, Trukhin D, Hochmair M, Özgüroğlu M, Statsenko G, Voitko O, Conev N, Bondarenko I, Spencer S, Xie M, Jones S, Franks A, Shrestha Y, Paz-Ares L. 379MO Durvalumab (D) ± tremelimumab (T) + platinum-etoposide (EP) in 1L ES-SCLC: Characterization of long-term clinical benefit and tumour mutational burden (TMB) in CASPIAN. Ann Oncol 2020. [DOI: 10.1016/j.annonc.2020.10.373] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022] Open
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Scherer D, Shishikura D, Andrews J, Di Giovanni G, Jones S, Honda S, Butters J, Kataoka Y, Nicholls S. Coronary artery echo-attenuated plaques in acute coronary syndromes: a serial intravascular ultrasound imaging study. Eur Heart J 2020. [DOI: 10.1093/ehjci/ehaa946.1396] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Background
Echo attenuation of atherosclerotic plaque (EAP) identified with intravascular ultrasound (IVUS) has been shown to correlate with vulnerable plaque morphologies and their presence is predictive of future cardiovascular events. EAP have predominantly been assessed at a single time point and their natural history in the immediate post acute coronary syndrome (ACS) period remains unknown. We aimed to assess this and whether their presence correlated with a more modifiable plaque composition in the immediate post-ACS setting.
Methods
Serial IVUS imaging was performed in non-culprit vessels of 270 patients undergoing angiogram for ACS and at 3 month follow up. IVUS analysis of plaque burden and EAP was performed.
Results
Baseline characteristics are described in Table 1. EAP were present at baseline in 62 patients (23%) with these patients more likely to be male (89.1% vs. 76.7%, p=0.03) but no differences in other atherosclerotic risk factors. There was no difference in baseline plaque burden between patients with EAP and those without (Percent atheroma volume [PAV] 38.9% vs. 37.8%, p=0.32). At follow up IVUS change in PAV was not statistically significantly different between patients with baseline EAP and those without (ΔPAV 0.09% vs. −0.36%, p=0.43), and neither was there a difference in the frequency of plaque regressors (42.7% vs 50%, p=0.31). EAP had resolved in 25 patients (40%) within 3 months at the follow up IVUS. Despite contemporary post-ACS therapy 18 patients who had not had EAP present at baseline (9%) developed new EAP at the follow up IVUS.
Conclusion
EAP were present in a quarter of ACS patients and were not associated with baseline plaque burden or a more modifiable plaque phenotype. In the setting of contemporary ACS treatments the natural history of high risk IVUS plaque characteristics such as EAP is dynamic with significant change even over a 3 month period in the post ACS setting.
Funding Acknowledgement
Type of funding source: Foundation. Main funding source(s): Royal Adelaide Hospital Research Fund AR Clarkson Scholarship
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Ospina M, Soileau M, Brillman S, Reed C, Shah P, Jones S. Impact of Levodopa/Carbidopa Intestinal Gel Delivery on CarePartner Burden and Quality of Life: Survey by Parkinson & Movement disorder alliance. Parkinsonism Relat Disord 2020. [DOI: 10.1016/j.parkreldis.2020.06.325] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
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Perfitt JS, Plunkett N, Jones S. Placebo effect in the management of chronic pain. BJA Educ 2020; 20:382-387. [PMID: 33456922 DOI: 10.1016/j.bjae.2020.07.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/06/2020] [Indexed: 12/14/2022] Open
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Goldman J, Garassino M, Chen Y, Reinmuth N, Hotta K, Poltoratskiy A, Trukhin D, Hochmair M, Özgüroğlu M, Ji J, Statsenko G, Voitko O, Conev N, Bondarenko I, Spencer S, Xie M, Jones S, Franks A, Shrestha Y, Paz-Ares L. LBA86 Durvalumab (D) ± tremelimumab (T) + platinum-etoposide (EP) in 1L ES-SCLC: Characterization of long-term clinical benefit and tumour mutational burden (TMB) in CASPIAN. Ann Oncol 2020. [DOI: 10.1016/j.annonc.2020.08.2328] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022] Open
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Rozas A, Kaczmarska A, Kado M, Kagan H, Kagan M, Kahra C, Kaji T, Kajomovitz E, Kalderon C, Kaluza A, Atmani H, Kamenshchikov A, Kanjir L, Kano Y, Kantserov V, Kanzaki J, Kaplan L, Kar D, Kareem M, Karentzos E, Karpov S, Augsten K, Karpova Z, Kartvelishvili V, Karyukhin A, Kashif L, Kass R, Kastanas A, Kataoka Y, Kato C, Katzy J, Kawade K, Avolio G, Kawagoe K, Kawaguchi T, Kawamoto T, Kawamura G, Kay E, Kazanin V, Keeler R, Kehoe R, Keller J, Kellermann E, Avramidou R, Kelsey D, Kempster J, Kendrick J, Kepka O, Kersten S, Kerševan B, Ketabchi Haghighat S, Khader M, Khalil-Zada F, Khandoga M, Ayoub M, Khanov A, Kharlamov A, Kharlamova T, Khoda E, Khodinov A, Khoo T, Khramov E, Khubua J, Kido S, Kiehn M, Azoulay A, Kilby C, Kim Y, Kimura N, Kind O, King B, Kirchmeier D, Kirk J, Kiryunin A, Kishimoto T, Kisliuk D, Azuelos G, Kitali V, Kivernyk O, Kladiva E, Klapdor-Kleingrothaus T, Klassen M, Klein M, Klein M, Klein U, Kleinknecht K, Klimek P, Baca M, Klimentov A, Klingl T, Klioutchnikova T, Klitzner F, Kluit P, Kluth S, Kneringer E, Knoops E, Knue A, Kobayashi D, Bachacou H, Kobayashi T, Kobel M, Kocian M, Kodys P, Koenig P, Koffas T, Köhler N, Koi T, Kolb M, Koletsou I, Bachas K, Komarek T, Kondo T, Kondrashova N, Köneke K, König A, Kono T, Konoplich R, Konstantinides V, Konstantinidis N, Konya B, Backes M, Kopeliansky R, Koperny S, Korcyl K, Kordas K, Koren G, Korn A, Korolkov I, Korolkova E, Korotkova N, Kortner O, Backman F, Kortner S, Kosek T, Kostyukhin V, Kotwal A, Koulouris A, Kourkoumeli-Charalampidi A, Kourkoumelis C, Kourlitis E, Kouskoura V, Kowalewska A, Bagnaia P, Kowalewski R, Kozakai C, Kozanecki W, Kozhin A, Kramarenko V, Kramberger G, Krasnopevtsev D, Krasny M, Krasznahorkay A, Krauss D, Bahmani M, Kremer J, Kretzschmar J, Krieger P, Krieter F, Krishnan A, Krizka K, Kroeninger K, Kroha H, Kroll J, Kroll J, Bahrasemani H, Krstic J, Kruchonak U, Krüger H, Krumnack N, Kruse M, Krzysiak J, Kubota T, Kuchinskaia O, Kuday S, Kuechler J, Bailey A, Kuehn S, Kugel A, Kuhl T, Kukhtin V, Kukla R, Kulchitsky Y, Kuleshov S, Kulinich Y, Kuna M, Kunigo T, Bailey V, Kupco A, Kupfer T, Kuprash O, Kurashige H, Kurchaninov L, Kurochkin Y, Kurova A, Kurth M, Kuwertz E, Kuze M, Baines J, Kvam A, Kvita J, Kwan T, La Rosa A, La Rotonda L, La Ruffa F, Lacasta C, Lacava F, Lack D, Lacker H, Bajic M, Lacour D, Ladygin E, Lafaye R, Laforge B, Lagouri T, Lai S, Lammers S, Lampl W, Lampoudis C, Lançon E, Bakalis C, Landgraf U, Landon M, Lanfermann M, Lang V, Lange J, Langenberg R, Lankford A, Lanni F, Lantzsch K, Lanza A, Baker O, Lapertosa A, Laplace S, Laporte J, Lari T, Lasagni Manghi F, Lassnig M, Lau T, Laudrain A, Laurier A, Lavorgna M, Bakker P, Lazzaroni M, Le B, Le Guirriec E, LeBlanc M, LeCompte T, Ledroit-Guillon F, Lee C, Lee G, Lee L, Lee S, Bakshi Gupta D, Lee S, Lefebvre B, Lefebvre M, Legger F, Leggett C, Lehmann K, Lehmann N, Lehmann Miotto G, Leight W, Leisos A, Balaji S, Leite M, Leitgeb C, Leitner R, Lellouch D, Leney K, Lenz T, Lenzi B, 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Lund-Jensen B, Lutz M, Lynn D, Lysak R, Lytken E, Barbe W, Lyu F, Lyubushkin V, Lyubushkina T, Ma H, Ma L, Ma Y, Maccarrone G, Macchiolo A, Macdonald C, Machado Miguens J, Barberio E, Madaffari D, Madar R, Mader W, Madysa N, Maeda J, Maekawa K, Maeland S, Maeno T, Maerker M, Maevskiy A, Barberis D, Magerl V, Magini N, Mahon D, Maidantchik C, Maier T, Maio A, Maj K, Majersky O, Majewski S, Makida Y, Barbero M, Makovec N, Malaescu B, Malecki P, Maleev V, Malek F, Mallik U, Malon D, Malone C, Maltezos S, Malyukov S, Barillari T, Mamuzic J, Mancini G, Mandić I, Manhaes de Andrade Filho L, Maniatis I, Manjarres Ramos J, Mankinen K, Mann A, Manousos A, Mansoulie B, Barisits MS, Manthos I, Manzoni S, Marantis A, Marceca G, Marchese L, Marchiori G, Marcisovsky M, Marcon C, Marin Tobon C, Marjanovic M, Barkeloo J, Marshall Z, Martensson M, Marti-Garcia S, Martin C, Martin T, Martin V, Martin dit Latour B, Martinelli L, Martinez M, Martinez Outschoorn V, Barklow T, Martin-Haugh S, Martoiu V, Martyniuk A, Marzin A, Maschek S, Masetti L, Mashimo T, Mashinistov R, Masik J, Maslennikov A, Barnea R, Mason L, Massa L, Massarotti P, Mastrandrea P, Mastroberardino A, Masubuchi T, Matakias D, Matic A, Mättig P, Maurer J, Barnes S, Maček B, Maximov D, Mazini R, Maznas I, Mazza S, Mc Kee S, McCarthy T, McClymont L, McCormack W, McDonald E, Barnett B, Mcfayden J, McKay M, McLean K, McMahon S, McNamara P, McNicol C, McPherson R, Mdhluli J, Meadows Z, Meehan S, Barnett R, Megy T, Mehlhase S, Mehta A, Meideck T, Meirose B, Melini D, Mellado Garcia B, Mellenthin J, Melo M, Meloni F, Barnovska-Blenessy Z, Melzer A, Menary S, Mendes Gouveia E, Meng L, Meng X, Menke S, Meoni E, Mergelmeyer S, Merkt S, Merlassino C, Baroncelli A, Mermod P, Merola L, Meroni C, Meshkov O, Meshreki J, Messina A, Metcalfe J, Mete A, Meyer C, Meyer J, Barone G, Meyer JP, Meyer Zu Theenhausen H, Miano F, Michetti M, Middleton R, Mijović L, Mikenberg G, Mikestikova M, Mikuž M, Mildner H, Barr A, Milesi M, Milic A, 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Gabrielli A, Gach G, Gadatsch S, Gadow P, Gagliardi G, Gagnon L, Galea C, Galhardo B, Gallardo G, Gallas E, Gallop B, Galster G, Gamboa Goni R, Gan K, Ganguly S, Gao J, Gao Y, Gao Y, García C, García Navarro J, García Pascual J, Garcia-Argos C, Garcia-Sciveres M, Gardner R, Garelli N, Gargiulo S, Garonne V, Gaudiello A, Gaudio G, Gavrilenko I, Gavrilyuk A, Gay C, Gaycken G, Gazis E, Geanta A, Gee C, Geisen J, Geisen M, Geisler M, Gemme C, Genest M, Geng C, Gentile S, George S, Geralis T, Gerlach L, Gessinger-Befurt P, Gessner G, Ghasemi S, Ghasemi Bostanabad M, Ghosh A, Ghosh A, Giacobbe B, Giagu S, Giangiacomi N, Giannetti P, Giannini A, Gibson S, Gignac M, Gillberg D, Gilles G, Gingrich D, Giordani M, Giorgi F, Giraud P, Giugliarelli G, Giugni D, Giuli F, Gkaitatzis S, Gkialas I, Gkougkousis E, Gkountoumis P, Gladilin L, Glasman C, Glatzer J, Glaysher P, Glazov A, Goblirsch-Kolb M, Goldfarb S, Golling T, Golubkov D, Gomes A, Goncalves Gama R, Gonçalo R, Gonella G, Gonella L, Gongadze A, Gonnella F, Gonski J, González de la Hoz S, Gonzalez-Sevilla S, Gonzalvo Rodriguez G, Goossens L, Gorbounov P, Gordon H, Gorini B, Gorini E, Gorišek A, Goshaw A, Gostkin M, Gottardo C, Gouighri M, Goujdami D, Goussiou A, Govender N, Goy C, Gozani E, Grabowska-Bold I, Graham E, Gramling J, Gramstad E, Grancagnolo S, Grandi M, Gratchev V, Gravila P, Gravili F, Gray C, Gray H, Grefe C, Gregersen K, Gregor I, Grenier P, Grevtsov K, Grieco C, Grieser N, Griffiths J, Grillo A, Grimm K, Grinstein S, Grivaz JF, Groh S, Gross E, Grosse-Knetter J, Grout Z, Grud C, Grummer A, Guan L, Guan W, Guenther J, Guerguichon A, Guerrero Rojas J, Guescini F, Guest D, Gugel R, Guillemin T, Guindon S, Gul U, Guo J, Guo W, Guo Y, Guo Z, Gupta R, Gurbuz S, Gustavino G, Gutierrez P, Gutschow C, Guyot C, Gwenlan C, Gwilliam C, Haas A, Haber C, Hadavand H. Search for heavy neutral Higgs bosons produced in association with
b
-quarks and decaying into
b
-quarks at
s=13 TeV
with the ATLAS detector. Int J Clin Exp Med 2020. [DOI: 10.1103/physrevd.102.032004] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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Zorbas TG, Zou R, Zwalinski L. Search for Heavy Higgs Bosons Decaying into Two Tau Leptons with the ATLAS Detector Using pp Collisions at sqrt[s]=13 TeV. PHYSICAL REVIEW LETTERS 2020; 125:051801. [PMID: 32794886 DOI: 10.1103/physrevlett.125.051801] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/28/2020] [Accepted: 06/26/2020] [Indexed: 06/11/2023]
Abstract
A search for heavy neutral Higgs bosons is performed using the LHC Run 2 data, corresponding to an integrated luminosity of 139 fb^{-1} of proton-proton collisions at sqrt[s]=13 TeV recorded with the ATLAS detector. The search for heavy resonances is performed over the mass range 0.2-2.5 TeV for the τ^{+}τ^{-} decay with at least one τ-lepton decaying into final states with hadrons. The data are in good agreement with the background prediction of the standard model. In the M_{h}^{125} scenario of the minimal supersymmetric standard model, values of tanβ>8 and tanβ>21 are excluded at the 95% confidence level for neutral Higgs boson masses of 1.0 and 1.5 TeV, respectively, where tanβ is the ratio of the vacuum expectation values of the two Higgs doublets.
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Shaw P, Wills L, Jones S, Lamont H, Morgan C, Crosby T, Radhakrishna G. Flip-flop Oesophageal Movement During Radical Radiotherapy for Oesophageal Malignancy. Clin Oncol (R Coll Radiol) 2020; 32:e214-e215. [PMID: 32682687 DOI: 10.1016/j.clon.2020.06.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2020] [Accepted: 06/03/2020] [Indexed: 10/23/2022]
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Sumida T, Sun S, Sun X, Suruliz K, Suster CJE, Sutton MR, Suzuki S, Svatos M, Swiatlowski M, Swift SP, Swirski T, Sydorenko A, Sykora I, Sykora M, Sykora T, Ta D, Tackmann K, Taenzer J, Taffard A, Tafirout R, Takai H, Takashima R, Takeda K, Takeshita T, Takeva EP, Takubo Y, Talby M, Talyshev AA, Tamir NM, Tanaka J, Tanaka M, Tanaka R, Tapia Araya S, Tapprogge S, Tarek Abouelfadl Mohamed A, Tarem S, Tariq K, Tarna G, Tartarelli GF, Tas P, Tasevsky M, Tashiro T, Tassi E, Tavares Delgado A, Tayalati Y, Taylor AJ, Taylor GN, Taylor W, Tee AS, Teixeira De Lima R, Teixeira-Dias P, Ten Kate H, Teoh JJ, Terada S, Terashi K, Terron J, Terzo S, Testa M, Teuscher RJ, Thais SJ, Theveneaux-Pelzer T, Thiele F, Thomas DW, Thomas JO, Thomas JP, Thompson AS, Thompson PD, Thomsen LA, Thomson E, Thorpe EJ, Ticse Torres RE, Tikhomirov VO, Tikhonov YA, Timoshenko S, Tipton P, Tisserant S, Todome K, Todorova-Nova S, Todt S, Tojo J, Tokár S, Tokushuku K, Tolley E, Tomiwa KG, Tomoto M, Tompkins L, Tong B, Tornambe P, Torrence E, Torres H, Torró Pastor E, Tosciri C, Toth J, Tovey DR, Traeet A, Treado CJ, Trefzger T, Tresoldi F, Tricoli A, Trigger IM, Trincaz-Duvoid S, Trischuk DA, Trischuk W, Trocmé B, Trofymov A, Troncon C, Trovatelli M, Trovato F, Truong L, Trzebinski M, Trzupek A, Tsai F, Tseng JCL, Tsiareshka PV, Tsirigotis A, Tsiskaridze V, Tskhadadze EG, Tsopoulou M, Tsukerman II, Tsulaia V, Tsuno S, Tsybychev D, Tu Y, Tudorache A, Tudorache V, Tulbure TT, Tuna AN, Turchikhin S, Turgeman D, Turk Cakir I, Turner RJ, Turra RT, Tuts PM, Tzamarias S, Tzovara E, Ucchielli G, Uchida K, Ueda I, Ukegawa F, Unal G, Undrus A, Unel G, Ungaro FC, Unno Y, Uno K, Urban J, Urquijo P, Usai G, Uysal Z, Vacek V, Vachon B, Vadla KOH, Vaidya A, Valderanis C, Valdes Santurio E, Valente M, Valentinetti S, Valero A, Valéry L, Vallance RA, Vallier A, Valls Ferrer JA, Van Daalen TR, Van Gemmeren P, Van Vulpen I, Vanadia M, Vandelli W, Vandenbroucke M, Vandewall ER, Vaniachine A, Vannicola D, Vari R, Varnes EW, Varni C, Varol T, Varouchas D, Varvell KE, Vasile ME, Vasquez GA, Vazeille F, Vazquez Furelos D, Vazquez Schroeder T, Veatch J, Vecchio V, Veen MJ, Veloce LM, Veloso F, Veneziano S, Ventura A, Venturi N, Verbytskyi A, Vercesi V, Verducci M, Vergel Infante CM, Vergis C, Verkerke W, Vermeulen AT, Vermeulen JC, Vetterli MC, Viaux Maira N, Vicente Barreto Pinto M, Vickey T, Vickey Boeriu OE, Viehhauser GHA, Vigani L, Villa M, Villaplana Perez M, Vilucchi E, Vincter MG, Virdee GS, Vishwakarma A, Vittori C, Vivarelli I, Vogel M, Vokac P, von Buddenbrock SE, Von Toerne E, Vorobel V, Vorobev K, Vos M, Vossebeld JH, Vozak M, Vranjes N, Vranjes Milosavljevic M, Vrba V, Vreeswijk M, Vuillermet R, Vukotic I, Wagner P, Wagner W, Wagner-Kuhr J, Wahdan S, Wahlberg H, Walbrecht VM, Walder J, Walker R, Walker SD, Walkowiak W, Wallangen V, Wang AM, Wang C, Wang C, Wang F, Wang H, Wang H, Wang J, Wang J, Wang J, Wang P, Wang Q, Wang RJ, Wang R, Wang R, Wang SM, Wang WT, Wang W, Wang WX, Wang Y, Wang Z, Wanotayaroj C, Warburton A, Ward CP, Wardrope DR, Warrack N, Washbrook A, Watson AT, Watson MF, Watts G, Waugh BM, Webb AF, Webb S, Weber C, Weber MS, Weber SA, Weber SM, Weidberg AR, Weingarten J, Weirich M, Weiser C, Wells PS, Wenaus T, Wengler T, Wenig S, Wermes N, Werner MD, Wessels M, Weston TD, Whalen K, Whallon NL, Wharton AM, White AS, White A, White MJ, Whiteson D, Whitmore BW, Wiedenmann W, Wielers M, Wieseotte N, Wiglesworth C, Wiik-Fuchs LAM, Wilk F, Wilkens HG, Wilkins LJ, Williams HH, Williams S, Willis C, Willocq S, Wilson JA, Wingerter-Seez I, Winkels E, Winklmeier F, Winston OJ, Winter BT, Wittgen M, Wobisch M, Wolf A, Wolf TMH, Wolff R, Wölker R, Wollrath J, Wolter MW, Wolters H, Wong VWS, Woods NL, Worm SD, Wosiek BK, Woźniak KW, Wraight K, Wu SL, Wu X, Wu Y, Wyatt TR, Wynne BM, Xella S, Xi Z, Xia L, Xiao X, Xiotidis I, Xu D, Xu H, Xu L, Xu T, Xu W, Xu Z, Xu Z, Yabsley B, Yacoob S, Yajima K, Yallup DP, Yamaguchi N, Yamaguchi Y, Yamamoto A, Yamatani M, Yamazaki T, Yamazaki Y, Yan Z, Yang HJ, Yang HT, Yang S, Yang X, Yang Y, Yao WM, Yap YC, Yasu Y, Yatsenko E, Ye J, Ye S, Yeletskikh I, Yexley MR, Yigitbasi E, Yorita K, Yoshihara K, Young CJS, Young C, Yu J, Yuan R, Yue X, Yuen SPY, Zaazoua M, Zabinski B, Zacharis G, Zaffaroni E, Zahreddine J, Zaitsev AM, Zakareishvili T, Zakharchuk N, Zambito S, Zanzi D, Zaripovas DR, Zeißner SV, Zeitnitz C, Zemaityte G, Zeng JC, Zenin O, Ženiš T, Zerwas D, Zgubič M, Zhang B, Zhang DF, Zhang G, Zhang H, Zhang J, Zhang L, Zhang L, Zhang M, Zhang R, Zhang S, Zhang X, Zhang Y, Zhang Z, Zhang Z, Zhao P, Zhao Y, Zhao Z, Zhemchugov A, Zheng Z, Zhong D, Zhou B, Zhou C, Zhou MS, Zhou M, Zhou N, Zhou Y, Zhu CG, Zhu C, Zhu HL, Zhu H, Zhu J, Zhu Y, Zhuang X, Zhukov K, Zhulanov V, Zieminska D, Zimine NI, Zimmermann S, Zinonos Z, Ziolkowski M, Živković L, Zobernig G, Zoccoli A, Zoch K, Zorbas TG, Zou R, Zwalinski L. Measurement of the Lund Jet Plane Using Charged Particles in 13 TeV Proton-Proton Collisions with the ATLAS Detector. PHYSICAL REVIEW LETTERS 2020; 124:222002. [PMID: 32567910 DOI: 10.1103/physrevlett.124.222002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/08/2020] [Revised: 05/06/2020] [Accepted: 05/13/2020] [Indexed: 06/11/2023]
Abstract
The prevalence of hadronic jets at the LHC requires that a deep understanding of jet formation and structure is achieved in order to reach the highest levels of experimental and theoretical precision. There have been many measurements of jet substructure at the LHC and previous colliders, but the targeted observables mix physical effects from various origins. Based on a recent proposal to factorize physical effects, this Letter presents a double-differential cross-section measurement of the Lund jet plane using 139 fb^{-1} of sqrt[s]=13 TeV proton-proton collision data collected with the ATLAS detector using jets with transverse momentum above 675 GeV. The measurement uses charged particles to achieve a fine angular resolution and is corrected for acceptance and detector effects. Several parton shower Monte Carlo models are compared with the data. No single model is found to be in agreement with the measured data across the entire plane.
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Jones S, Smith L, Ainsworth K. P389 The baseline psychological need of a paediatric cystic fibrosis population. J Cyst Fibros 2020. [DOI: 10.1016/s1569-1993(20)30717-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Barnett R, Ng S, Jones S, Young M, Sengupta R. FRI0309 DAILY SELF-REPORTED FLARE PROFILES IN AXIAL SPONDYLOARTHRITIS: ASSOCIATIONS BETWEEN FLARE, SYMPTOMS AND BEHAVIOUR. Ann Rheum Dis 2020. [DOI: 10.1136/annrheumdis-2020-eular.2734] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
Background:Axial spondyloarthritis (axSpA) is a chronic inflammatory disease, characterised by fluctuating periods of flare and remission. Flare is a multidimensional change of disease state; whereby flare definitions have previously been formulated using validated composite indices, or through qualitative retrospective investigation of flare states. Smartphone technologies for tracking disease symptoms provide unique, daily insights into self-reported individual flare experience, and may present an opportunity to gain a more complete understanding of flare burden and symptom patterns.Objectives:To assess frequency and characteristics of axSpA flares, utilising data collected in the uMotif symptom tracking app.Methods:Patients with axSpA attending the Royal National Hospital for Rheumatic Diseases in Bath were invited to participate. Through the uMotif app, patients were sent daily reminders to log flare, pain, fatigue, sleep, recommended exercise, mood and stress using 5-point Likert scales, in addition to optional variables such as smoking and menstrual cycle. Self-reported periods of flare were identified. For each patient reporting flare within the study period, a mean ‘flare’ and ‘non-flare’ score was calculated for each variable. Paired t-tests were conducted for each variable, to investigate which variables correlate with flare status.Results:Between 5th April 2018 and 8th March 2019, 174 patients consented for research and logged a mean of 99.73 (SD 99.97, range 1 - 323 days) days of data. 136/174 (78%) patients recorded at least 1 flare, with 1330 flares recorded in total. For patients reporting at least 1 flare, each flare lasted a mean of 2.20 days (SD 2.53 days, range 1 – 33 days), with a mean frequency of once every 45.19 days (SD 53.06, range 3.2 -314 days). Significant relationships were identified between flare status and uMotif scores (Table 1).Table 1.Paired t-tests: flare vs. non-flare scores for each variableEstimated difference^p-valueN95% CI (lower limit)95% CI (upper limit)Variable-0.870.266-2.630.88Red Painful Eyes-0.670.000*130-0.78-0.56Pain-0.570.004*25-0.94-0.20Chest Pain-0.510.005*15-0.83-0.18Hot Flushes-0.500.000*129-0.61-0.40Fatigue-0.440.1962-2.231.35Blood in Stool-0.380.000*128-0.47-0.29Mood-0.360.000*127-0.52-0.20Anti-Inflammatory Use-0.360.000*128-0.48-0.23Recommended Exercise-0.340.000*33-0.51-0.17Confidence in Self-Management-0.260.000*128-0.37-0.15Stress-0.250.17015-0.620.12Screen Time-0.190.000*130-0.26-0.12Sleep Quality-0.150.45812-0.590.28Menstrual Cycle-0.110.10322-0.250.02Eyesight0.090.1953-0.120.30Flare of Psoriasis0.050.65626-0.170.26Medication Adherence0.040.7973-0.530.61Smoking Today-0.030.48450-0.110.05Caffeine IntakeN= number of patients with both a flare and non-flare entry for each variable; CI=confidence intervalHigher variable scores indicate more positive outcomes (e.g. a higher pain score indicates less pain)^Estimated difference between flare and non-flare entries (e.g. on average, the mean pain score of a flare entry is 0.67 [0.56– 0.78 CI] less than a non-flare entry)*p<0.01Conclusion:These findings demonstrate significant relationships between a variety of patient-reported symptoms and flare, including variables that to our knowledge, have not yet been explored in axSpA. Small estimated differences were found between scores for ‘flare’ versus ‘no-flare’. Further work is needed to characterise fluctuating flare/no-flare patterns of individuals tracking daily symptoms in the uMotif app. In future research, it will be important to determine whether there is a chronological pattern of variables during the pre-flare period that can predict a flare. Greater understanding of such patterns may allow identification of the optimal timing of intervention to prevent a period of flare and improve quality of life for patients with axSpA.Acknowledgments:We thank UCB for funding use of the uMotif application.Disclosure of Interests:Rosie Barnett: None declared, Stanley Ng: None declared, Simon Jones: None declared, Matthew Young: None declared, Raj Sengupta Grant/research support from: Research grants from UCB, Pfizer, Abbvie and Novartis, Speakers bureau: Received honoraria for giving talks from Abbvie, Biogen, UCB, Novartis, Pfizer
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Myers A, Matthews C, Kille T, Riedner B, Flaherty B, Jones S. 0340 Regional Changes in Sleep Electroencephalography Power in Youth with Sleep-Disordered Breathing: A High-Density EEG Study. Sleep 2020. [DOI: 10.1093/sleep/zsaa056.337] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Introduction
Daytime neurobehavioral impairments are commonly associated with sleep disordered breathing (SDB) in children. However, a large number of studies have shown only minimal differences in sleep between children with SDB relative to control children, suggesting that sleep dysfunction is not responsible for daytime impairment. Importantly, however, previous studies have measured sleep EEG using only frontal scalp electrodes, failing to capture the regional features of sleep that are prominent during development. Here we measure sleep using hdEEG in SDB and healthy children to determine if regional sleep impairment is related to daytime neurobehavioral performance.
Methods
Overnight high-density electroencephalography (hdEEG, 256 channels) was recorded in 17 children with sleep disordered breathing (SDB) (age: M = 8.46, SD = 1.82, AHI: M = 11.3, SD = 8.6, 53% female) and 17 age and sex matched controls (age: M = 8.47, SD = 1.66, AHI: M = 1.5, SD = .64). Attentional capacity was assessed using the Test of Variables of Attention (TOVA) before and after sleep. Group differences in sleep macrostructure variables were assessed using unpaired t-tests. All-night spectral analysis was performed for NREM sleep and averaged across groups. Topographic differences between groups were assessed using statistical non-parametric mapping. Pearson correlations were used to determine associations between sleep and TOVA variables.
Results
Sleep macrostructure did not differ between groups. All-night spectral density analysis revealed a global increase in high-frequency activity in N2N3 and N3, in the alpha band (8-12 Hz, p<0.05). Global alpha power was higher in SDB youth, although this effect reached significance during N3 in a large cluster of posterior channels (N=55, p=.02).
Conclusion
Elevated alpha during NREM is frequently considered a correlate of nonrestorative sleep. In this sample of youth with SDB, posterior alpha is robustly increased during the deepest stage of NREM sleep. In this small sample, however, alpha power did not predict performance on an attentional task sensitive to the effects of impaired sleep.
Support
R21 HD092986-02 to SJ
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Peterson B, Castelnovo A, Riedner B, Herringa R, Jones S. 1003 Sleep Spindle Abnormalities In Youth With Ptsd. Sleep 2020. [DOI: 10.1093/sleep/zsaa056.999] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Introduction
Sleep disturbance is central to the phenomenology of PTSD across the lifespan with up to 90% of youth with PTSD reporting sleep disturbance. Subjective sleep dysfunction has also been linked to the development, maintenance and severity of the disorder. However, to date there have been no objective EEG assessments of sleep in youth with PTSD, and little is known about how the disease impacts specific sleep features.
Methods
Ten youth with PTSD (aged 14.5±3.2; CAPS-CA score 60.5±25.3) and ten age-and sex-matched typically developing youth (TD) (aged 14.7±3.2) completed two non-consecutive overnight high-density EEG (256-channel) polysomnography sleep studies. Prior to sleep on one night, participants performed an emotion processing task. Group differences in sleep macrostructure variables were assessed with two-way ANOVA, and group differences in all-night spectral density were assessed using unpaired t-tests. An automatic algorithm was used to detect spindle amplitude, duration, and density topographically. Statistical non-parametric mapping (SnPM) cluster testing was used to determine significantly different topographic differences between groups.
Results
No significant group differences were observed in sleep macrostructure variables. All-night spectral density analysis revealed increased power in PTSD youth relative to TD youth in the sigma band on both task and baseline nights. PTSD youth showed higher spindle duration, higher integrated spindle activity, and higher spindle amplitude globally both nights relative to TD youth. The increase in spindle duration achieved significance in a robust frontal cluster on both nights (43-channel cluster (p = .044) on baseline night, 66-channel cluster (p = .019) on task night).
Conclusion
Structural and functional abnormalities of the prefrontal cortex are a prominent feature of pediatric PTSD. The observed increase in spindle duration may represent another marker of impaired cortical function in youth with PTSD reflecting a failure of cortical inhibition of the thalamically-generated spindle rhythm.
Support
K08 MH100267 to RH, Wisconsin Institute for Sleep and Consciousness Pilot Award to SJ
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Jones S, Turton P, Achuthan R. Impact of family history risk assessment on surgical decisions and imaging surveillance at breast cancer diagnosis. Ann R Coll Surg Engl 2020; 102:590-593. [PMID: 32436722 DOI: 10.1308/rcsann.2020.0103] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
INTRODUCTION In June 2013, the National Institute for Health and Care Excellence (NICE) published guidance on the management of women with a family history (FH) of breast cancer (BC) and a personal diagnosis of BC. When diagnosed with BC, pressure of timely treatment takes priority and there is potential for a significant FH to be overlooked. This can affect treatment options and follow-up imaging (FUI) surveillance. METHODS The practice in our breast unit was compared with the NICE guidance with regard to arranging appropriate FUI and referral to the genetics team for women diagnosed with BC with a FH of BC. Data were obtained retrospectively on 200 women with BC, identified from the breast multidisciplinary team meetings from January to March 2014. Initial audit showed poor compliance with recording of FH. A standardised history taking proforma was produced for clinic use. A re-audit was conducted on a further 200 women between May and July 2016. RESULTS In the initial audit, FH was taken in 151 women (76%) compared with 174 women (87%) in the re-audit. Thirty-seven women (25%) were thought to be of moderate risk (MR) or high risk (HR) based on FH in the first audit. Re-audit identified 35 women (20%) with MR or HR FH. Under half (43%) of the women of HR were referred to the genetics team initially; this increased to 70% in the second audit. While almost half (46%) of the women with MR or HR had inappropriate FUI in the initial audit, this fell to 11% in the re-audit. CONCLUSIONS A proportion of women diagnosed with BC would fall into the MR or HR categories as defined in the NICE FH guidance. Inadequate recording of FH could result in inadequate FUI surveillance and in some cases missing the opportunity for a genetic referral to assess suitability for gene testing.
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Hadley-Barrows T, Quicke J, Evans N, Duffy H, Chatwin L, Stevenson K, Jones S, Shipway C, Simpson J, Hurley M, Dziedzic K. Optimising resources for patient benefit: implementing ESCAPE-pain in collaboration with leisure and third sector community partners. A pilot study. Physiotherapy 2020. [DOI: 10.1016/j.physio.2020.03.176] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
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Louis S, Morita-Sherman M, Jones S, Vegh D, Bingaman W, Blumcke I, Obuchowski N, Cendes F, Jehi L. Hippocampal Sclerosis Detection with NeuroQuant Compared with Neuroradiologists. AJNR Am J Neuroradiol 2020; 41:591-597. [PMID: 32217554 DOI: 10.3174/ajnr.a6454] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2019] [Accepted: 01/17/2020] [Indexed: 12/25/2022]
Abstract
BACKGROUND AND PURPOSE NeuroQuant is an FDA-approved software that performs automated MR imaging quantitative volumetric analysis. This study aimed to compare the accuracy of NeuroQuant analysis with visual MR imaging analysis by neuroradiologists with expertise in epilepsy in identifying hippocampal sclerosis. MATERIALS AND METHODS We reviewed 144 adult patients who underwent presurgical evaluation for temporal lobe epilepsy. The reference standard for hippocampal sclerosis was defined by having hippocampal sclerosis on pathology (n = 61) or not having hippocampal sclerosis on pathology (n = 83). Sensitivities, specificities, positive predictive values, and negative predictive values were compared between NeuroQuant analysis and visual MR imaging analysis by using a McNemar paired test of proportions and the Bayes theorem. RESULTS NeuroQuant analysis had a similar specificity to neuroradiologist visual MR imaging analysis (90.4% versus 91.6%; P = .99) but a lower sensitivity (69.0% versus 93.0%, P < .001). The positive predictive value of NeuroQuant analysis was comparable with visual MR imaging analysis (84.0% versus 89.1%), whereas the negative predictive value was not comparable (79.8% versus 95.0%). CONCLUSIONS Visual MR imaging analysis by a neuroradiologist with expertise in epilepsy had a higher sensitivity than did NeuroQuant analysis, likely due to the inability of NeuroQuant to evaluate changes in hippocampal T2 signal or architecture. Given that there was no significant difference in specificity between NeuroQuant analysis and visual MR imaging analysis, NeuroQuant can be a valuable tool when the results are positive, particularly in centers that lack neuroradiologists with expertise in epilepsy, to help identify and refer candidates for temporal lobe epilepsy resection. In contrast, a negative test could justify a case referral for further evaluation to ensure that false-negatives are detected.
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