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Hamatani Y, Iguchi M, Aono Y, Ishigami K, Ikeda S, Doi K, Fujino A, Masunaga N, Esato M, Tsuji H, Wada H, Hasegawa K, Ogawa H, Abe M, Akao M. Plasma natriuretic peptide level is an independent determinant of major clinical outcomes in atrial fibrillation patients without heart failure: the Fushimi AF Registry. Eur Heart J 2020. [DOI: 10.1093/ehjci/ehaa946.0673] [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
Atrial fibrillation (AF) increases the risk of death, stroke/systemic embolism and heart failure (HF). Plasma natriuretic peptide (NP) level is an important prognostic marker in HF patients. However, little is known regarding the prognostic significance of plasma NP level in AF patients without HF.
Purpose
The aim of this study is to investigate the relationship between plasma NP level and clinical outcomes such as all-cause death, stroke/systemic embolism and HF hospitalization during follow-up period in AF patients without HF.
Methods
The Fushimi AF Registry is a community-based prospective survey of AF patients in our city. The inclusion criterion of the registry is the documentation of AF at 12-lead electrocardiogram or Holter monitoring at any time, and there are no exclusion criteria. We started to enroll patients from March 2011, and follow-up data were available for 4,466 patients by the end of November 2019. From the registry, we excluded 1,220 patients without a pre-existing HF (defined as having one of the following; prior hospitalization for HF, New York Heart Association class ≥2, or left ventricular ejection fraction <40%). Among 3,246 AF patients without HF, we investigated 1,189 patients with the data of plasma BNP (n=401) or N-terminal pro-BNP (n=788) level at the enrollment. We divided the patients according to the quartile of each plasma BNP or NT-pro BNP level and compared the backgrounds and outcomes between these 4 groups stratified by plasma NP level.
Results
Of 1,189 patients, the mean age was 72.1±10.2 years, 454 (38%) were female and 684 (58%) were paroxysmal AF. The mean CHADS2 and CHA2DS2-VASc score were 1.6±1.1 and 2.9±1.5, respectively. Oral anticoagulants were prescribed in 671 (56%) at baseline. The median (interquartile range) BNP and N-terminal pro-BNP level were 84 (38, 176) and 500 (155, 984) pg/ml, respectively. Patients with high plasma NP level were older, and demonstrated lower prevalence of paroxysmal AF, higher CHADS2 and CHA2DS2-VASc scores and higher prevalence of chronic kidney disease and oral anticoagulants prescription (all P<0.01). A total of 165 all-cause death, 114 stroke/systemic embolism and 103 HF hospitalization occurred during the median follow-up period of 5.0 years. Kaplan-Meier curves demonstrated that higher plasma NP level was significantly associated with the incidences of all-cause death, stroke/systemic embolism and HF hospitalization in AF patients without HF (Figure 1A). Multivariable Cox regression analysis revealed that plasma NP level could stratify the risk of clinical outcomes even after adjustment by type of AF, CHA2DS2-VASc score, chronic kidney disease and oral anticoagulant prescription (Figure 1B).
Conclusion
Plasma NP level is a significant prognostic marker for all-cause death, stroke/systemic embolism and HF hospitalization in AF patients without HF, suggesting the importance of measuring plasma NP level in AF patients even without HF.
Figure 1
Funding Acknowledgement
Type of funding source: None
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Hoshijima H, Nagasaka H, Ozaki M, Komiyama K, Mieda T, Nakamura C, Doi K. Rocuronium priming for tracheal intubation in COVID-19 patients. Anaesth Rep 2020; 8:98-100. [PMID: 33251512 DOI: 10.1002/anr3.12060] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/17/2020] [Indexed: 12/17/2022] Open
Abstract
Priming doses of non-depolarising neuromuscular blocking drugs given before administration of anaesthetic agents have been used to hasten the onset of neuromuscular blockade. In the settings of coronavirus disease 2019 (COVID-19), this could be used to reduce the apnoeic, and potentially aerosol-generating, window. To our knowledge, we report the first cases of tracheal intubation with rocuronium for COVID-19 using the priming principle. Both patients needed their tracheas intubated for severe hypoxia using a rapid sequence induction technique with a priming dose of rocuronium. Despite adequate pre-oxygenation a sudden, unexpected fall in arterial oxygen saturations was observed in both patients after administration of a priming dose of 2 mg of rocuronium. Clinicians should consider this possible risk associated with priming doses of neuromuscular blocking drugs in the management of patients with respiratory failure due to COVID-19.
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Izumi K, Suzuki K, Hashimoto M, Endoh T, Doi K, Iwai Y, Kaneko Y, Jinzaki M, Ko S, Takeuchi T. AB1103 AUTOMATIC FINGER JOINT BONE EROSION SCORE PREDICTION CONSIDERING 2-TIME-POINT X-RAYS OF PATIENTS WITH RHEUMATOID ARTHRITIS BY DEEP LEARNING. Ann Rheum Dis 2020. [DOI: 10.1136/annrheumdis-2020-eular.4107] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
Background:Medical image analysis using deep learning (DL) has been attracting attention. In previous research, we proposed a DL method for detection of joint region and evaluation for bone destruction at a single point in time in hand X-rays of patients with rheumatoid arthritis (RA) [1-2]. However, in the score of van der Heijde-modified total Sharp scores (mTSS) in X-rays, it is difficult to apply the method as it is. In mTSS, score difference between 2-time points is important, and there is a problem that the score at each time varies depending on the doctor who evaluates.Objectives:We aimed at developing an mTSS scoring method considering 2-time-point difference with a DL method.Methods:A total of 104 X-ray image sets of both hands at two time points with an interval of ≥1 year were randomly obtained from patients with RA who had visited our clinic in 2015. Well-trained doctors determined the erosion scores of MP and PIP/IP joints of each hand in X-rays according to mTSS. These evaluations of hand joints were performed using our developed annotation software tool. In the learning phase, joint images were randomly divided into five sets for 5-fold cross-validation. We utilized a convolutional neural network model, such as SSD [3], for detecting joint regions and classifying the scores (Fig 1).Figure1.The models for classification were designed in consideration of the difference in erosion scores of each patient between the 2-time points of X-rays. The loss function of the DL model was defined bellow;SCE: softmax cross entropyMSE: mean squared errort: training datay: output of DL model0: the former time point1: the latter time pointT: transpose of matrixHere, the coefficient γ is designed to reduce the error for another set of scores with equal differences. The first term of the loss function works to optimize the score at each time point, and the second term works to optimize the score difference at both time points. Thus, our method can be trained without being affected by characteristic training data.Results:The number of joints with differences in erosion score between the former and latter time points was 1 (-2 points), 9 (-1), 2015 (0), 32 (+1), 17 (+2), and 6 (+3). There were no joints with score changes of -5, -4, -3, +4, and +5 points.As a performance of predicting the difference in erosion score between the 2-time points of each patient’s X-ray, our models presented a mean error of 0.412 per each joint in one set for 5-cross validation as compared with physicians’ evaluation (Fig 2).Figure 2.Conclusion:Our DL-based models to predict hand joint erosion scores in X-rays were developed with relatively small samples. This suggests that the predictive performance may increase by collecting more training dataset. Next, we will apply our method to the prediction of joint space narrowing score.References:[1]Izumi K, Hashimoto M, Suzuki K, et al. Detecting Hand Joint Ankylosis in Radiographic Images Using Deep Learning: A Step in Developing Automatic Radiographic Scoring System for Bone Destruction.Arthritis Rheumatol2018;70 (suppl 10).[2]Izumi K, Suzuki K, Hashimoto M, et al. SAT0543 AUTOMATIC DETECTION OF HAND JOINT REGION, ANKYLOSIS AND SUBLUXATION IN RADIOGRAPHIC IMAGES USING DEEP LEARNING: DEVELOPMENT OF ARTIFICIAL INTELLIGENCE-BASED RADIOGRAPHIC EVALUATION SYSTEM FOR BONE DESTRUCTION.Annals of the Rheumatic Diseases2019;78 (suppl 2), pp. 1364-1364.[3]Liu W, Anguelov D, Szgedy C, et al. SSD: single shot multibox detector.European Conference on Computer Vision (ECCV) 2016.Acknowledgments:Izumi and Suzuki are contributed equally.Disclosure of Interests:Keisuke Izumi Grant/research support from: Asahi Kasei Pharma, Takeda Pharmaceutical Co., Ltd., Speakers bureau: Asahi Kasei Pharma Corp, Astellas Pharma Inc., Bristol Myers Squibb, Chugai Pharmaceutical Co., Ltd., Eli Lilly Japan K.K., Mitsubishi Tanabe Pharma Co., Kanata Suzuki Employee of: Fujitsu Laboratories Ltd., Masahiro Hashimoto: None declared, Toshio Endoh Employee of: Fujitsu Laboratories Ltd., Kentaro Doi Employee of: Fujitsu Ltd., Yuki Iwai Employee of: Fujitsu Ltd., Yuko Kaneko Speakers bureau: AbbVie, Eisai Pharmaceutical, Chugai Pharmaceutical Co., Ltd., Bristol Myers Squibb, Astellas Pharma Inc., Mitsubishi Tanabe Pharma Co., Pfizer Japan Inc., Janssen Pharmaceutical K.K., Eli Lilly Japan K.K., Santen Pharmaceutical Co., Ltd., Kyowa Hakko Kirin Co. Ltd. and UCB Japan Co. Ltd., Masahiro Jinzaki: None declared, Shigeru Ko Grant/research support from: Fujitsu Ltd., Tsutomu Takeuchi Grant/research support from: Astellas Pharma Inc, Chugai Pharmaceutical Co, Ltd., Daiichi Sankyo Co., Ltd., Takeda Pharmaceutical Co., Ltd., AbbVie GK, Asahikasei Pharma Corp., Mitsubishi Tanabe Pharma Co., Pfizer Japan Inc., Eisai Co., Ltd., AYUMI Pharmaceutical Corporation, Nipponkayaku Co. Ltd., Novartis Pharma K.K., Teijin, Consultant of: Astra Zeneca K.K., Eli Lilly Japan K.K., Novartis Pharma K.K., Mitsubishi Tanabe Pharma Co., Abbivie GK, Nipponkayaku Co.Ltd, Janssen Pharmaceutical K.K., Astellas Pharma Inc., Taiho Pharmaceutical Co. Ltd., Chugai Pharmaceutical Co. Ltd., Taisho Toyama Pharmaceutical Co. Ltd., GlaxoSmithKline K.K., UCB Japan Co. Ltd., Speakers bureau: Astellas Pharma Inc., Bristol Myers Squibb, Chugai Pharmaceutical Co., Ltd., Mitsubishi Tanabe Pharma Co., Pfizer Japan Inc., Santen Pharmaceutical Co., Ltd., Takeda Pharmaceutical Co., Ltd., Teijin Pharma Ltd., AbbVie GK, Asahi Kasei Pharma Corp., Taisho Toyama Pharmaceutical Co., Ltd., SymBio Pharmaceuticals Ltd., Janssen Pharmaceutical K.K., Celltrion Inc., Nipponkayaku Co. Ltd., and UCB Japan
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Abbott BP, Abbott R, Abbott TD, Abraham S, Acernese F, Ackley K, Adams C, Adya VB, Affeldt C, Agathos M, Agatsuma K, Aggarwal N, Aguiar OD, Aiello L, Ain A, Ajith P, Akutsu T, Allen G, Allocca A, Aloy MA, Altin PA, Amato A, Ananyeva A, Anderson SB, Anderson WG, Ando M, Angelova SV, Antier S, Appert S, Arai K, Arai K, Arai Y, Araki S, Araya A, Araya MC, Areeda JS, Arène M, Aritomi N, Arnaud N, Arun KG, Ascenzi S, Ashton G, Aso Y, Aston SM, Astone P, Aubin F, Aufmuth P, AultONeal K, Austin C, Avendano V, Avila-Alvarez A, Babak S, Bacon P, Badaracco F, Bader MKM, Bae SW, Bae YB, Baiotti L, Bajpai R, Baker PT, Baldaccini F, Ballardin G, Ballmer SW, Banagiri S, Barayoga JC, Barclay SE, Barish BC, Barker D, Barkett K, Barnum S, Barone F, Barr B, Barsotti L, Barsuglia M, Barta D, Bartlett J, Barton MA, Bartos I, Bassiri R, Basti A, Bawaj M, Bayley JC, Bazzan M, Bécsy B, Bejger M, Belahcene I, Bell AS, Beniwal D, Berger BK, Bergmann G, Bernuzzi S, Bero JJ, Berry CPL, Bersanetti D, Bertolini A, Betzwieser J, Bhandare R, Bidler J, Bilenko IA, Bilgili SA, Billingsley G, Birch J, Birney R, Birnholtz O, Biscans S, Biscoveanu S, Bisht A, Bitossi M, Bizouard MA, Blackburn JK, Blair CD, Blair DG, Blair RM, Bloemen S, Bode N, Boer M, Boetzel Y, Bogaert G, Bondu F, Bonilla E, Bonnand R, Booker P, Boom BA, Booth CD, Bork R, Boschi V, Bose S, Bossie K, Bossilkov V, Bosveld J, Bouffanais Y, Bozzi A, Bradaschia C, Brady PR, Bramley A, Branchesi M, Brau JE, Briant T, Briggs JH, Brighenti F, Brillet A, Brinkmann M, Brisson V, Brockill P, Brooks AF, Brown DA, Brown DD, Brunett S, Buikema A, Bulik T, Bulten HJ, Buonanno A, Buskulic D, Buy C, Byer RL, Cabero M, Cadonati L, Cagnoli G, Cahillane C, Bustillo JC, Callister TA, Calloni E, Camp JB, Campbell WA, Canepa M, Cannon K, Cannon KC, Cao H, Cao J, Capocasa E, Carbognani F, Caride S, Carney MF, Carullo G, Diaz JC, Casentini C, Caudill S, Cavaglià M, Cavalier F, Cavalieri R, Cella G, Cerdá-Durán P, Cerretani G, Cesarini E, Chaibi O, Chakravarti K, Chamberlin SJ, Chan M, Chan ML, Chao S, Charlton P, Chase EA, Chassande-Mottin E, Chatterjee D, Chaturvedi M, Chatziioannou K, Cheeseboro BD, Chen CS, Chen HY, Chen KH, Chen X, Chen Y, Chen YR, Cheng HP, Cheong CK, Chia HY, Chincarini A, Chiummo A, Cho G, Cho HS, Cho M, Christensen N, Chu HY, Chu Q, Chu YK, Chua S, Chung KW, Chung S, Ciani G, Ciobanu AA, Ciolfi R, Cipriano F, Cirone A, Clara F, Clark JA, Clearwater P, Cleva F, Cocchieri C, Coccia E, Cohadon PF, Cohen D, Colgan R, Colleoni M, Collette CG, Collins C, Cominsky LR, Constancio M, Conti L, Cooper SJ, Corban P, Corbitt TR, Cordero-Carrión I, Corley KR, Cornish N, Corsi A, Cortese S, Costa CA, Cotesta R, Coughlin MW, Coughlin SB, Coulon JP, Countryman ST, Couvares P, Covas PB, Cowan EE, Coward DM, Cowart MJ, Coyne DC, Coyne R, Creighton JDE, Creighton TD, Cripe J, Croquette M, Crowder SG, Cullen TJ, Cumming A, Cunningham L, Cuoco E, Canton TD, Dálya G, Danilishin SL, D’Antonio S, Danzmann K, Dasgupta A, Da Silva Costa CF, Datrier LEH, Dattilo V, Dave I, Davier M, Davis D, Daw EJ, DeBra D, Deenadayalan M, Degallaix J, De Laurentis M, Deléglise S, Pozzo WD, DeMarchi LM, Demos N, Dent T, De Pietri R, Derby J, De Rosa R, De Rossi C, DeSalvo R, de Varona O, Dhurandhar S, Díaz MC, Dietrich T, Fiore LD, Giovanni MD, Girolamo TD, Lieto AD, Ding B, Pace SD, Palma ID, Renzo FD, Dmitriev A, Doctor Z, Doi K, Donovan F, Dooley KL, Doravari S, Dorrington I, Downes TP, Drago M, Driggers JC, Du Z, Ducoin JG, Dupej P, Dwyer SE, Easter PJ, Edo TB, Edwards MC, Effler A, Eguchi S, Ehrens P, Eichholz J, Eikenberry SS, Eisenmann M, Eisenstein RA, Enomoto Y, Essick RC, Estelles H, Estevez D, Etienne ZB, Etzel T, Evans M, Evans TM, Fafone V, Fair H, Fairhurst S, Fan X, Farinon S, Farr B, Farr WM, Fauchon-Jones EJ, Favata M, Fays M, Fazio M, Fee C, Feicht J, Fejer MM, Feng F, Fernandez-Galiana A, Ferrante I, Ferreira EC, Ferreira TA, Ferrini F, Fidecaro F, Fiori I, Fiorucci D, Fishbach M, Fisher RP, Fishner JM, Fitz-Axen M, Flaminio R, Fletcher M, Flynn E, Fong H, Font JA, Forsyth PWF, Fournier JD, Frasca S, Frasconi F, Frei Z, Freise A, Frey R, Frey V, Fritschel P, Frolov VV, Fujii Y, Fukunaga M, Fukushima M, Fulda P, Fyffe M, Gabbard HA, Gadre BU, Gaebel SM, Gair JR, Gammaitoni L, Ganija MR, Gaonkar SG, Garcia A, García-Quirós C, Garufi F, Gateley B, Gaudio S, Gaur G, Gayathri V, Ge GG, Gemme G, Genin E, Gennai A, George D, George J, Gergely L, Germain V, Ghonge S, Ghosh A, Ghosh A, Ghosh S, Giacomazzo B, Giaime JA, Giardina KD, Giazotto A, Gill K, Giordano G, Glover L, Godwin P, Goetz E, Goetz R, Goncharov B, González G, Castro JMG, Gopakumar A, Gorodetsky ML, Gossan SE, Gosselin M, Gouaty R, Grado A, Graef C, Granata M, Grant A, Gras S, Grassia P, Gray C, Gray R, Greco G, Green AC, Green R, Gretarsson EM, Groot P, Grote H, Grunewald S, Gruning P, Guidi GM, Gulati HK, Guo Y, Gupta A, Gupta MK, Gustafson EK, Gustafson R, Haegel L, Hagiwara A, Haino S, Halim O, Hall BR, Hall ED, Hamilton EZ, Hammond G, Haney M, Hanke MM, Hanks J, Hanna C, Hannam MD, Hannuksela OA, Hanson J, Hardwick T, Haris K, Harms J, Harry GM, Harry IW, Hasegawa K, Haster CJ, Haughian K, Hayakawa H, Hayama K, Hayes FJ, Healy J, Heidmann A, Heintze MC, Heitmann H, Hello P, Hemming G, Hendry M, Heng IS, Hennig J, Heptonstall AW, Heurs M, Hild S, Himemoto Y, Hinderer T, Hiranuma Y, Hirata N, Hirose E, Hoak D, Hochheim S, Hofman D, Holgado AM, Holland NA, Holt K, Holz DE, Hong Z, Hopkins P, Horst C, Hough J, Howell EJ, Hoy CG, Hreibi A, Hsieh BH, Huang GZ, Huang PW, Huang YJ, Huerta EA, Huet D, Hughey B, Hulko M, Husa S, Huttner SH, Huynh-Dinh T, Idzkowski B, Iess A, Ikenoue B, Imam S, Inayoshi K, Ingram C, Inoue Y, Inta R, Intini G, Ioka K, Irwin B, Isa HN, Isac JM, Isi M, Itoh Y, Iyer BR, Izumi K, Jacqmin T, Jadhav SJ, Jani K, Janthalur NN, Jaranowski P, Jenkins AC, Jiang J, Johnson DS, Jones AW, Jones DI, Jones R, Jonker RJG, Ju L, Jung K, Jung P, Junker J, Kajita T, Kalaghatgi CV, Kalogera V, Kamai B, Kamiizumi M, Kanda N, Kandhasamy S, Kang GW, Kanner JB, Kapadia SJ, Karki S, Karvinen KS, Kashyap R, Kasprzack M, Katsanevas S, Katsavounidis E, Katzman W, Kaufer S, Kawabe K, Kawaguchi K, Kawai N, Kawasaki T, Keerthana NV, Kéfélian F, Keitel D, Kennedy R, Key JS, Khalili FY, Khan H, Khan I, Khan S, Khan Z, Khazanov EA, Khursheed M, Kijbunchoo N, Kim C, Kim C, Kim JC, Kim J, Kim K, Kim W, Kim WS, Kim YM, Kimball C, Kimura N, King EJ, King PJ, Kinley-Hanlon M, Kirchhoff R, Kissel JS, Kita N, Kitazawa H, Kleybolte L, Klika JH, Klimenko S, Knowles TD, Knyazev E, Koch P, Koehlenbeck SM, Koekoek G, Kojima Y, Kokeyama K, Koley S, Komori K, Kondrashov V, Kong AKH, Kontos A, Koper N, Korobko M, Korth WZ, Kotake K, Kowalska I, Kozak DB, Kozakai C, Kozu R, Kringel V, Krishnendu N, Królak A, Kuehn G, Kumar A, Kumar P, Kumar R, Kumar R, Kumar S, Kume J, Kuo CM, Kuo HS, Kuo L, Kuroyanagi S, Kusayanagi K, Kutynia A, Kwak K, Kwang S, Lackey BD, Lai KH, Lam TL, Landry M, Lane BB, Lang RN, Lange J, Lantz B, Lanza RK, Lartaux-Vollard A, Lasky PD, Laxen M, Lazzarini A, Lazzaro C, Leaci P, Leavey S, Lecoeuche YK, Lee CH, Lee HK, Lee HM, Lee HW, Lee J, Lee K, Lee RK, Lehmann J, Lenon A, Leonardi M, Leroy N, Letendre N, Levin Y, Li J, Li KJL, Li TGF, Li X, Lin CY, Lin F, Lin FL, Lin LCC, Linde F, Linker SD, Littenberg TB, Liu GC, Liu J, Liu X, Lo RKL, Lockerbie NA, London LT, Longo A, Lorenzini M, Loriette V, Lormand M, Losurdo G, Lough JD, Lousto CO, Lovelace G, Lower ME, Lück H, Lumaca D, Lundgren AP, Luo LW, Lynch R, Ma Y, Macas R, Macfoy S, MacInnis M, Macleod DM, Macquet A, Magaña-Sandoval F, Zertuche LM, Magee RM, Majorana E, Maksimovic I, Malik A, Man N, Mandic V, Mangano V, Mansell GL, Manske M, Mantovani M, Marchesoni F, Marchio M, Marion F, Márka S, Márka Z, Markakis C, Markosyan AS, Markowitz A, Maros E, Marquina A, Marsat S, Martelli F, Martin IW, Martin RM, Martynov DV, Mason K, Massera E, Masserot A, Massinger TJ, Masso-Reid M, Mastrogiovanni S, Matas A, Matichard F, Matone L, Mavalvala N, Mazumder N, McCann JJ, McCarthy R, McClelland DE, McCormick S, McCuller L, McGuire SC, McIver J, McManus DJ, McRae T, McWilliams ST, Meacher D, Meadors GD, Mehmet M, Mehta AK, Meidam J, Melatos A, Mendell G, Mercer RA, Mereni L, Merilh EL, Merzougui M, Meshkov S, Messenger C, Messick C, Metzdorff R, Meyers PM, Miao H, Michel C, Michimura Y, Middleton H, Mikhailov EE, Milano L, Miller AL, Miller A, Millhouse M, Mills JC, Milovich-Goff MC, Minazzoli O, Minenkov Y, Mio N, Mishkin A, Mishra C, Mistry T, Mitra S, Mitrofanov VP, Mitselmakher G, Mittleman R, Miyakawa O, Miyamoto A, Miyazaki Y, Miyo K, Miyoki S, Mo G, Moffa D, Mogushi K, Mohapatra SRP, Montani M, Moore CJ, Moraru D, Moreno G, Morisaki S, Moriwaki Y, Mours B, Mow-Lowry CM, Mukherjee A, Mukherjee D, Mukherjee S, Mukund N, Mullavey A, Munch J, Muñiz EA, Muratore M, Murray PG, Nagano K, Nagano S, Nagar A, Nakamura K, Nakano H, Nakano M, Nakashima R, Nardecchia I, Narikawa T, Naticchioni L, Nayak RK, Negishi R, Neilson J, Nelemans G, Nelson TJN, Nery M, Neunzert A, Ng KY, Ng S, Nguyen P, Ni WT, Nichols D, Nishizawa A, Nissanke S, Nocera F, North C, Nuttall LK, Obergaulinger M, Oberling J, O’Brien BD, Obuchi Y, O’Dea GD, Ogaki W, Ogin GH, Oh JJ, Oh SH, Ohashi M, Ohishi N, Ohkawa M, Ohme F, Ohta H, Okada MA, Okutomi K, Oliver M, Oohara K, Ooi CP, Oppermann P, Oram RJ, O’Reilly B, Ormiston RG, Ortega LF, O’Shaughnessy R, Oshino S, Ossokine S, Ottaway DJ, Overmier H, Owen BJ, Pace AE, Pagano G, Page MA, Pai A, Pai SA, Palamos JR, Palashov O, Palomba C, Pal-Singh A, Pan HW, Pan KC, Pang B, Pang HF, Pang PTH, Pankow C, Pannarale F, Pant BC, Paoletti F, Paoli A, Papa MA, Parida A, Park J, Parker W, Pascucci D, Pasqualetti A, Passaquieti R, Passuello D, Patil M, Patricelli B, Pearlstone BL, Pedersen C, Pedraza M, Pedurand R, Pele A, Arellano FEP, Penn S, Perez CJ, Perreca A, Pfeiffer HP, Phelps M, Phukon KS, Piccinni OJ, Pichot M, Piergiovanni F, Pillant G, Pinard L, Pinto I, Pirello M, Pitkin M, Poggiani R, Pong DYT, Ponrathnam S, Popolizio P, Porter EK, Powell J, Prajapati AK, Prasad J, Prasai K, Prasanna R, Pratten G, Prestegard T, Privitera S, Prodi GA, Prokhorov LG, Puncken O, Punturo M, Puppo P, Pürrer M, Qi H, Quetschke V, Quinonez PJ, Quintero EA, Quitzow-James R, Raab FJ, Radkins H, Radulescu N, Raffai P, Raja S, Rajan C, Rajbhandari B, Rakhmanov M, Ramirez KE, Ramos-Buades A, Rana J, Rao K, Rapagnani P, Raymond V, Razzano M, Read J, Regimbau T, Rei L, Reid S, Reitze DH, Ren W, Ricci F, Richardson CJ, Richardson JW, Ricker PM, Riles K, Rizzo M, Robertson NA, Robie R, Robinet F, Rocchi A, Rolland L, Rollins JG, Roma VJ, Romanelli M, Romano R, Romel CL, Romie JH, Rose K, Rosińska D, Rosofsky SG, Ross MP, Rowan S, Rüdiger A, Ruggi P, Rutins G, Ryan K, Sachdev S, Sadecki T, Sago N, Saito S, Saito Y, Sakai K, Sakai Y, Sakamoto H, Sakellariadou M, Sakuno Y, Salconi L, Saleem M, Samajdar A, Sammut L, Sanchez EJ, Sanchez LE, Sanchis-Gual N, Sandberg V, Sanders JR, Santiago KA, Sarin N, Sassolas B, Sathyaprakash BS, Sato S, Sato T, Sauter O, Savage RL, Sawada T, Schale P, Scheel M, Scheuer J, Schmidt P, Schnabel R, Schofield RMS, Schönbeck A, Schreiber E, Schulte BW, Schutz BF, Schwalbe SG, Scott J, Scott SM, Seidel E, Sekiguchi T, Sekiguchi Y, Sellers D, Sengupta AS, Sennett N, Sentenac D, Sequino V, Sergeev A, Setyawati Y, Shaddock DA, Shaffer T, Shahriar MS, Shaner MB, Shao L, Sharma P, Shawhan P, Shen H, Shibagaki S, Shimizu R, Shimoda T, Shimode K, Shink R, Shinkai H, Shishido T, Shoda A, Shoemaker DH, Shoemaker DM, ShyamSundar S, Siellez K, Sieniawska M, Sigg D, Silva AD, Singer LP, Singh N, Singhal A, Sintes AM, Sitmukhambetov S, Skliris V, Slagmolen BJJ, Slaven-Blair TJ, Smith JR, Smith RJE, Somala S, Somiya K, Son EJ, Sorazu B, Sorrentino F, Sotani H, Souradeep T, Sowell E, Spencer AP, Srivastava AK, Srivastava V, Staats K, Stachie C, Standke M, Steer DA, Steinke M, Steinlechner J, Steinlechner S, Steinmeyer D, Stevenson SP, Stocks D, Stone R, Stops DJ, Strain KA, Stratta G, Strigin SE, Strunk A, Sturani R, Stuver AL, Sudhir V, Sugimoto R, Summerscales TZ, Sun L, Sunil S, Suresh J, Sutton PJ, Suzuki T, Suzuki T, Swinkels BL, Szczepańczyk MJ, Tacca M, Tagoshi H, Tait SC, Takahashi H, Takahashi R, Takamori A, Takano S, Takeda H, Takeda M, Talbot C, Talukder D, Tanaka H, Tanaka K, Tanaka K, Tanaka T, Tanaka T, Tanioka S, Tanner DB, Tápai M, Martin ENTS, Taracchini A, Tasson JD, Taylor R, Telada S, Thies F, Thomas M, Thomas P, Thondapu SR, Thorne KA, Thrane E, Tiwari S, Tiwari S, Tiwari V, Toland K, Tomaru T, Tomigami Y, Tomura T, Tonelli M, Tornasi Z, Torres-Forné A, Torrie CI, Töyrä D, Travasso F, Traylor G, Tringali MC, Trovato A, Trozzo L, Trudeau R, Tsang KW, Tsang TTL, Tse M, Tso R, Tsubono K, Tsuchida S, Tsukada L, Tsuna D, Tsuzuki T, Tuyenbayev D, Uchikata N, Uchiyama T, Ueda A, Uehara T, Ueno K, Ueshima G, Ugolini D, Unnikrishnan CS, Uraguchi F, Urban AL, Ushiba T, Usman SA, Vahlbruch H, Vajente G, Valdes G, Bakel NV, Beuzekom MV, Brand JFJVD, Broeck CVD, Vander-Hyde DC, Schaaf LVD, Heijningen JVV, Putten MHPMV, Veggel AAV, Vardaro M, Varma V, Vass S, Vasúth M, Vecchio A, Vedovato G, Veitch J, Veitch PJ, Venkateswara K, Venugopalan G, Verkindt D, Vetrano F, Viceré A, Viets AD, Vine DJ, Vinet JY, Vitale S, Vivanco FH, Vo T, Vocca H, Vorvick C, Vyatchanin SP, Wade AR, Wade LE, Wade M, Walet R, Walker M, Wallace L, Walsh S, Wang G, Wang H, Wang J, Wang JZ, Wang WH, Wang YF, Ward RL, Warden ZA, Warner J, Was M, Watchi J, Weaver B, Wei LW, Weinert M, Weinstein AJ, Weiss R, Wellmann F, Wen L, Wessel EK, Weßels P, Westhouse JW, Wette K, Whelan JT, Whiting BF, Whittle C, Wilken DM, Williams D, Williamson AR, Willis JL, Willke B, Wimmer MH, Winkler W, Wipf CC, Wittel H, Woan G, Woehler J, Wofford JK, Worden J, Wright JL, Wu CM, Wu DS, Wu HC, Wu SR, Wysocki DM, Xiao L, Xu WR, Yamada T, Yamamoto H, Yamamoto K, Yamamoto K, Yamamoto T, Yancey CC, Yang L, Yap MJ, Yazback M, Yeeles DW, Yokogawa K, Yokoyama J, Yokozawa T, Yoshioka T, Yu H, Yu H, Yuen SHR, Yuzurihara H, Yvert M, Zadrożny AK, Zanolin M, Zeidler S, Zelenova T, Zendri JP, Zevin M, Zhang J, Zhang L, Zhang T, Zhao C, Zhao Y, Zhou M, Zhou Z, Zhu XJ, Zhu ZH, Zimmerman AB, Zucker ME, Zweizig J. Prospects for observing and localizing gravitational-wave transients with Advanced LIGO, Advanced Virgo and KAGRA. LIVING REVIEWS IN RELATIVITY 2020; 23:3. [PMID: 33015351 PMCID: PMC7520625 DOI: 10.1007/s41114-020-00026-9] [Citation(s) in RCA: 49] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/01/2019] [Accepted: 05/27/2020] [Indexed: 05/05/2023]
Abstract
We present our current best estimate of the plausible observing scenarios for the Advanced LIGO, Advanced Virgo and KAGRA gravitational-wave detectors over the next several years, with the intention of providing information to facilitate planning for multi-messenger astronomy with gravitational waves. We estimate the sensitivity of the network to transient gravitational-wave signals for the third (O3), fourth (O4) and fifth observing (O5) runs, including the planned upgrades of the Advanced LIGO and Advanced Virgo detectors. We study the capability of the network to determine the sky location of the source for gravitational-wave signals from the inspiral of binary systems of compact objects, that is binary neutron star, neutron star-black hole, and binary black hole systems. The ability to localize the sources is given as a sky-area probability, luminosity distance, and comoving volume. The median sky localization area (90% credible region) is expected to be a few hundreds of square degrees for all types of binary systems during O3 with the Advanced LIGO and Virgo (HLV) network. The median sky localization area will improve to a few tens of square degrees during O4 with the Advanced LIGO, Virgo, and KAGRA (HLVK) network. During O3, the median localization volume (90% credible region) is expected to be on the order of 10 5 , 10 6 , 10 7 Mpc 3 for binary neutron star, neutron star-black hole, and binary black hole systems, respectively. The localization volume in O4 is expected to be about a factor two smaller than in O3. We predict a detection count of 1 - 1 + 12 ( 10 - 10 + 52 ) for binary neutron star mergers, of 0 - 0 + 19 ( 1 - 1 + 91 ) for neutron star-black hole mergers, and 17 - 11 + 22 ( 79 - 44 + 89 ) for binary black hole mergers in a one-calendar-year observing run of the HLV network during O3 (HLVK network during O4). We evaluate sensitivity and localization expectations for unmodeled signal searches, including the search for intermediate mass black hole binary mergers.
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Doi K, Ito H, Tomizawa T, Murata K, Hashimoto M, Tanaka M, Murakami K, Nishitani K, Azukizawa M, Okahata A, Saito M, Mimori T, Matsuda S. Oral steroid decreases the progression of joint destruction of large joints in the lower extremities in rheumatoid arthritis. Medicine (Baltimore) 2019; 98:e17968. [PMID: 31764801 PMCID: PMC6882596 DOI: 10.1097/md.0000000000017968] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
To identify the risk factors for destruction of large joints in the lower extremities in patients with rheumatoid arthritis (RA) during a 4-year follow-up period in a prospective study.We enrolled consecutive patients who participated in both 2012 and 2016. Clinical data, disease activity, and types of medication were collected in 2012. Standard anteroposterior radiographs of weight-bearing joints (hips, knees, and ankles) were taken in 2012 and 2016. Radiographic progression was defined as progression in the Larsen grade or the need for joint arthroplasty or arthrodesis. The association between baseline characteristics and the incidence of radiographic progression was statistically assessed.A total of 213 patient were enrolled, and, after exclusion, 186 patients were analyzed. Sixty 9 patients (37.1%) showed radiographic progression in 1 of the large joints in the lower extremities. Multivariate regression analysis showed that radiographic progression was associated with older age, higher disease activity, and the presence of radiographic destruction at the baseline. The lower dosage of oral prednisolone was a significant risk factor compared with higher dosage when used.Patients with the risk factors should be followed closely to limit the progression of large joint destruction in the lower extremities.
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Ogawa H, An Y, Ishigami K, Aono Y, Ikeda S, Doi K, Ishii M, Iguchi M, Masunaga N, Esato M, Wada H, Hasegawa K, Abe M, Akao M. P3771Validation of risk scoring system predicting for progression of atrial fibrillation: the Fushimi AF Registry. Eur Heart J 2019. [DOI: 10.1093/eurheartj/ehz745.0621] [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] Open
Abstract
Abstract
Background
Atrial fibrillation (AF) increases the risks of thromboembolism and death. Progression from paroxysmal to sustained types (persistent or permanent) of AF is sometimes seen in clinical practice. We recently reported that progression of AF was associated with increased risk of clinical adverse events in Japanese AF patients. However, risk stratification schemes of predicting the progression of AF has not been fully established.
Methods
The Fushimi AF Registry, a community-based prospective survey, was designed to enroll all of the AF patients in Fushimi-ku, Kyoto, which is a typical urban district of Japan with a population of 283,000. Follow-up data were available for 4,454 patients. We investigated the risk factors of AF progression and validated the performance of various risk scoring systems predicting for progression of AF, such as APPLE, BASE-AF2, HATCH, and MB-LATER score, using data from 995 paroxysmal AF patients (mean age; 72.6±11.4 years, female; 42.2%, mean CHA2DS2-VASc score; 3.26±1.67) whose echocardiogram data were obtained at baseline.
Results
Of 995 AF patients, during the median follow-up of 1,477 days, progression from paroxysmal to sustained AF occurred in 160 patients (16.1%; 4.0 per 100 person-years). On a multivariate model, we indicated that history of AF ≥2 years (odds ratio [OR] 1.83; 95% confidence interval [CI] 1.28–2.61), left atrial diameter ≥40 mm (OR 1.45; 95% CI 1.02–2.08), daily drinker (OR 1.56; 95% CI 1.24–2.81), and cardiomyopathy (OR 2.58; 95% CI 1.17–5.69) were significantly associated with higher incidence of AF progression. Our model had better predictive potential for AF progression (area under curve [AUC] 0.612; 95% CI 0.566–0.658) than the APPLE (AUC 0.553; 95% CI 0.508–0.598; p=0.06), BASE-AF2 (AUC 0.571; 95% CI 0.526–0.617; p=0.04), CHADS2 (AUC 0.508; 95% CI 0.462–0.554; p<0.01), CHA2DS2-VASc (AUC 0.501; 95% CI 0.453–0.548; p<0.01), HATCH (AUC 0.502; 95% CI 0.456–0.548; p<0.01), and MB-LATER (AUC 0.528; 95% CI 0.483–0.572; p<0.01) score.
Conclusion
We identified 4 risk factors which may be useful to predict for progression of AF in Japanese patients. External validation of our model in other cohorts is needed.
Acknowledgement/Funding
Boehringer, Bayer, Pfizer, Bristol-Myers, Astellas, AstraZeneca, Daiichi Sankyo, Novartis, MSD, Sanofi and Takeda. Japan Agency for Medical Research
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Matsumoto M, Hagiwara K, Komuro H, Miyamoto Y, Yamamoto H, Shirahashi K, Doi K, Iwata H. P1.17-41 Preoperative Prognostic Nutritional Index (PNI) as a Prognostic Factor in Patients with Clinical Stage I Non-Small-Cell Lung Cancer. J Thorac Oncol 2019. [DOI: 10.1016/j.jtho.2019.08.1314] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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Doi K, Ishigami K, Aono Y, Ikeda S, An Y, Ishii M, Iguchi M, Masunaga N, Esato M, Wada H, Hasegawa K, Ogawa H, Abe M, Akao M. P3780Clinical characteristics and outcomes in Japanese atrial fibrillation patients with valvular heart disease: the Fushimi AF registry. Eur Heart J 2019. [DOI: 10.1093/eurheartj/ehz745.0629] [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
Previous studies have suggested that valvular atrial fibrillation (VAF), defined as atrial fibrillation (AF) patients with prosthetic valve or rheumatic mitral stenosis, increased the risks of thromboembolism. However, clinical characteristics and outcomes of VAF and non-valvular AF (NVAF) patients with other valvular heart disease (VHD) has not been fully described.
Method
The Fushimi AF Registry was designed to enroll all of the AF patients. In the entire cohort (4,454 patients), follow-up data including echocardiography data were available for 3,566 patients. We compared clinical characteristics and outcomes between 131 VAF patients (3.7%), 583 NVAF with VHD (NVAF-VHD: 16.3%) and 2,852 without VHD (Non-VHD: 80.0%).
Result
Compared with Non-VHD, patients in VAF and NVAF-VHD were older (VAF vs. NVAF-VHD vs. Non-VHD: 74.3 vs. 76.9 vs. 72.9 years, respectively; p≤0.0001), more often female (56.5% vs. 51.1% vs. 36.9%, p≤0.0001), less in body weight (54.3 vs. 54.7 vs. 60.6 kg, p≤0.0001), more persistent/permanent type (64.1% vs. 65.4% vs. 45.8%, p≤0.0001), more likely to have heart failure (61.8% vs. 53.2% vs. 23.3%, p≤0.0001), had higher CHADS2 score (2.18 vs. 2.49 vs. 1.96, p≤0.0001) and CHA2DS2-VASc score (3.71 vs. 4.02 vs. 3.26, p≤0.0001), and received oral anticoagulant prescription more frequently (78.6% vs. 63.0% vs. 55.6%, p0.0001). NVAF-VHD was more likely to have previous stroke/systemic embolism (SE) than VHD or Non-VHD (14.5% vs. 23.5% vs. 19.6%, p=0.03). VAF or NVAF-VHD had larger left atrium than Non-VHD (50.5 vs. 47.2 vs. 42.4 mm, p<0.0001). Heart rate, diabetes mellitus and previous bleeding were comparable between the groups.
During the median follow-up of 1,471 days, the incidence rate of stroke/SE was not significantly different between three groups, however, NVAF-VHD showed modestly higher rate than Non-VHD (1.67 vs. 1.96 vs. 1.28 per 100 person-years, respectively, log rank p=0.054) (Figure). The incidence rates of all-cause death (4.62 vs. 5.74 vs. 3.21, p≤0.0001), cardiac death (1.07 vs. 1.01 vs. 0.44, p=0.0003), and those of hospitalization for heart failure (3.29 vs. 4.41 vs. 1.80, p≤0.0001) were higher in NVAF-VHD and VAF, than Non-VHD. After adjustment by relevant factors including the components of CHA2DS2-VASc score and oral anticoagulant use, NVAF-VHD, but not VAF, was an independent predictor for hospitalization for heart failure. Neither VAF nor NVAF-VHD was predictors for all-cause death, cardiac death or stroke/SE.
Figure 1. Incidence of stroke/SE
Conclusion
As compared with Non-VHD, the risk of stroke/SE in VAF and NVAF-VHD was not particularly high; although NVAF-VHD had modestly higher rate than Non-VHD. VAF and NVAF-VHD were associated with higher incidence rates of all-cause death, cardiac death and hospitalization for heart failure. NVAF-VHD was an independent predictor for hospitalization for heart failure in multivariate analysis.
Acknowledgement/Funding
Pfizer, Bristol-Myers Squibb, Boehringer Ingelheim, Bayer Healthcare and Daiichi Sankyo
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Ikeda S, Iguchi M, Ogawa H, Ishigami K, Aono Y, Doi K, An Y, Ishii M, Masunaga N, Esato M, Wada H, Hasegawa K, Abe M, Akao M. P5663Impact of proteinuria on cardiovascular outcomes in Japanese diabetic patients with atrial fibrillation: the Fushimi AF Registry. Eur Heart J 2019. [DOI: 10.1093/eurheartj/ehz746.0606] [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: 11/15/2022] Open
Abstract
Abstract
Background
Previous studies have suggested that proteinuria is independently associated with clinical outcomes in diabetic patients, irrespective of the presence of renal dysfunction. However, data regarding the impact of proteinuria on clinical outcomes in diabetic patients with atrial fibrillation (AF) are limited.
Methods
The Fushimi AF Registry is a community-based prospective survey of AF patients in our city in Japan. Follow-up data were available in 4,454 patients, and 634 diabetic patients with available data of proteinuria and estimated glomerular filtration rate (eGFR) were examined. We compared the clinical background and outcomes between patients with proteinuria (n=251) and those without (n=383). Then, we divided the patients into 4 subgroups according to the presence of proteinuria and renal dysfunction, and compared the clinical outcomes between groups; group 1 (without proteinuria, eGFR ≥60 ml/min/1.73 m2; n=203), group 2 (with proteinuria, eGFR ≥60; n=96), group 3 (without proteinuria, eGFR <60; n=180), group 4 (with proteinuria, eGFR <60; n=155).
Results
Age was comparable between patients with or without proteinuria. Patients with proteinuria had higher prevalences of previous heart failure (HF), stroke/systemic embolism, hypertension and renal dysfunction. The prevalences of previous myocardial infarction, and major bleeding were similar between two groups. During the median follow-up of 1,505 days, the incidence rates of HF hospitalization (4.1/100 person-years vs. 2.5/100 person-years; p<0.01) and cardiovascular death (1.8/100 person-years vs. 0.4/100 person-years; p<0.01) were higher in patients with proteinuria. When we divided patients into 4 subgroups, the incidences of HF hospitalization (group 1: 1.8/100 person-years vs. group 2: 3.4/100 person-years vs. group 3: 3.8/100 person-years vs. group 4: 4.9/100 person-years; p<0.01) and cardiovascular death (group 1: 0.3/100 person-years vs. group 2: 1.8/100 person-years vs. group 3: 0.5/100 person-years vs. group 4: 2.2/100 person-years; p<0.01) tended to be higher in not only group 3 and group 4 but also group 2 than group 1 (Figure). Multivariate Cox proportional hazards regression analysis including female gender, age (≥75 years), hypertension, pre-existing HF, renal dysfunction (eGFR <60),low left ventricular ejection fraction (<40%) and proteinuria revealed that proteinuria was an independent determinant of both of HF hospitalization (adjusted hazard ratio [HR]: 1.57, 95% confidence interval [CI]: 1.05–2.34) and cardiovascular death (HR: 3.76, 95% CI: 1.59–8.88).
Figure 1
Conclusion
In Japanese diabetic patients with AF, proteinuria was associated with higher incidences of HF hospitalization and cardiovascular death, irrespective of the presence of renal dysfunction.
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Nomura M, Nagatomo R, Inoue K, Doi K, Shimizu J, Baba K, Saito T, Matsumoto S, Muto M. Association of SCFA in gut microbiome and clinical response in solid cancer patients treated with andi-PD-1 antibody. Ann Oncol 2019. [DOI: 10.1093/annonc/mdz253.074] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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Ishigami K, Aono Y, Ikeda S, Doi K, An Y, Ishii M, Iguchi M, Masunaga N, Ogawa H, Esato M, Wada H, Hasegawa K, Abe M, Akao M. P3758Clinical characteristics and outcomes of atrial fibrillation patients with thrombocytopenia: the Fushimi AF Registry. Eur Heart J 2019. [DOI: 10.1093/eurheartj/ehz745.0610] [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
Thrombocytopenia is sometimes found in routine blood tests and is reported as a risk factor of major bleeding events and incidence of all-cause death after percutaneous coronary intervention. However, the influence of thrombocytopenia on clinical outcomes in patients with atrial fibrillation (AF) remains unknown.
Purpose
We aimed to investigate relationship between baseline platelet count and clinical outcomes such as all-cause death, hospitalization for heart failure, and the major bleeding event in AF patients.
Methods
The Fushimi AF Registry was designed to enroll all of the AF patients in Fushimi-ku, Kyoto. Fushimi-ku is densely populated with a total population of 283,000 and is assumed to represent a typical urban community in Japan. Follow-up data with baseline platelet counts were available in 4,179 patients from March 2011 to November 2018. We divided the entire cohort into 3 groups according to baseline platelet level: No thrombocytopenia (≥150,000/μL, n=3,323), Mild thrombocytopenia (100,000–149,999/μL, n=707), and Moderate/severe thrombocytopenia (≤99,999/μL, n=149).
Results
In the entire cohort, the mean age was 73 years, 40% were women, and the mean body weight and body mass index was 59 kg and 23.1 kg/m2, and the median platelet count were 192,000/μL (interquartile range 156,000 to 232,000/μL), respectively.
Compared to No thrombocytopenia, patients with thrombocytopenia were older (No vs. Mild vs. Moderate/severe; 73.3 years vs. 76.5 years vs. 75.8 years, p<0.0001), more likely to have heart failure (27.0% vs. 32.8% vs. 41.6%, p<0.0001), more likely to have chronic renal disease (35.7% vs. 42.6% vs. 57.7%, p<0.0001), and had higher CHADS2 score (2.05 vs. 2.17 vs. 2.34, p=0.0039) and CHA2DS2-VASc score (3.40 vs. 3.52 vs. 3.71, p=0.0416). Patients with thrombocytopenia had lower hemoglobin (13.0 vs. 12.8 vs. 11.6, p<0.0001) than No thrombocytopenia. However, prevalence of previous major bleeding events was comparable between three groups (4.66% vs. 4.67% vs. 5.37%, p=0.92)
On Kaplan-Meier analysis, the incidence of all-cause death was higher in Mild group (hazard ratio [HR] 1.51; 95% confidence interval [CI] 1.28–1.77) and Moderate/severe group (HR 2.97; 95% CI 2.28–3.80) than No group (Figure 1). The incidence of hospitalization for heart failure was higher in Mild group (HR 1.62; 95% CI 1.31–1.99) and Moderate/severe group (HR 2.64; 95% CI 1.76–3.81) than No group (Figure 2). The incidence of major bleeding event was higher in Mild group (HR 1.46; 95% CI 1.11–1.91) and Moderate/severe group (HR 2.45; 95% CI 1.41–3.91) than No group (Figure 3).
Conclusion
Thrombocytopenia in AF patients was associated with higher incidence of all-cause death, hospitalization for heart failure, and major bleeding event in the Fushimi AF Registry.
Acknowledgement/Funding
Pfizer, Bristol-Myers Squibb, Boehringer Ingelheim, Bayer Healthcare,and Daiichi-Sankyo
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Mizukami T, Yanagi T, Kitamura S, Narahira A, Maeda T, Hata H, Takakuwa E, Doi K, Sugita S, Hasegawa T, Ikenaga H, Shimizu H. A recurrent subcutaneous tumour of the thumb: a case of a capicua transcriptional repressor (CIC)-rearranged sarcoma. J Eur Acad Dermatol Venereol 2019; 34:e59-e61. [PMID: 31452282 DOI: 10.1111/jdv.15910] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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Tomizawa T, Ito H, Murata K, Hashimoto M, Tanaka M, Murakami K, Nishitani K, Azukizawa M, Okahata A, Doi K, Saito M, Furu M, Hamaguchi M, Mimori T, Matsuda S. Distinct biomarkers for different bones in osteoporosis with rheumatoid arthritis. Arthritis Res Ther 2019; 21:174. [PMID: 31307521 PMCID: PMC6631871 DOI: 10.1186/s13075-019-1956-1] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2019] [Accepted: 07/01/2019] [Indexed: 12/20/2022] Open
Abstract
Background Rheumatoid arthritis (RA) is known to cause secondary osteoporosis and fragility fractures. This study aimed to identify biomarkers predictive of bone mineral density (BMD) change at three anatomical sites in patients with RA. Methods We conducted a prospective longitudinal study in patients with RA. In 2012, we recruited 379 patients from an RA cohort, 329 of whom underwent evaluation of blood and urine biomarkers together with measurement of BMD in the lumbar spine, proximal femur, and distal forearm. The BMD in these three regions was reassessed in 2014. We performed multivariate linear regression analysis to identify those factors associated with BMD change. Results The averages of age, body mass index, and disease activity score in 28 joints (DAS28) at baseline were 63.2 (minimum to maximum, 32–85), 21.3 (12.3–30.0), and 3.2 (0.1–5.9), respectively. Univariate analysis showed that the annual BMD change was significantly associated with the use of steroid, bisphosphonate (BP) or vitamin D (VitD), and serum homocysteine in the lumber spine; DAS28, the use of BP or VitD, CRP, and anti-cyclic citrullinated peptide antibody (ACPA) in the proximal femur; and the dosage of MTX, the use of BP or VitD, and serum tartrate-resistant acid phosphatase 5b (TRACP-5b) in the distal forearm, respectively. Conclusions Predictive biomarkers for BMD change in RA patients differ at each anatomical site. Practitioners should treat each anatomical site with different markers and prescribe osteoporosis drugs to prevent fractures for RA patients.
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MIYAMOTO Y, Iwagami M, Aso S, Yasunaga H, Matsui H, Fushimi K, Hamasaki Y, Nangaku M, Doi K. SUN-164 ASSOCIATION BETWEEN INTRAVENOUS CONTRAST MEDIA AND NON-RECOVERY FROM DIALYSIS-REQUIRING SEPTIC ACUTE KIDNEY INJURY IN INTENSIVE CARE UNIT PATIENTS: A NATIONWIDE OBSERVATIONAL STUDY. Kidney Int Rep 2019. [DOI: 10.1016/j.ekir.2019.05.566] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
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Tan SF, Dunton W, Liu X, Fox TE, Morad SAF, Desai D, Doi K, Conaway MR, Amin S, Claxton DF, Wang HG, Kester M, Cabot MC, Feith DJ, Loughran TP. Acid ceramidase promotes drug resistance in acute myeloid leukemia through NF-κB-dependent P-glycoprotein upregulation. J Lipid Res 2019; 60:1078-1086. [PMID: 30962310 DOI: 10.1194/jlr.m091876] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2018] [Revised: 04/02/2019] [Indexed: 12/22/2022] Open
Abstract
Acute myeloid leukemia (AML) is the most common acute leukemia in adults. More than half of older AML patients fail to respond to cytotoxic chemotherapy, and most responders relapse with drug-resistant disease. Failure to achieve complete remission can be partly attributed to the drug resistance advantage of AML blasts that frequently express P-glycoprotein (P-gp), an ATP-binding cassette transporter. Our previous work showed that elevated acid ceramidase (AC) levels in AML contribute to blast survival. Here, we investigated P-gp expression levels in AML relative to AC. Using parental HL-60 cells and drug-resistant derivatives as our model, we found that P-gp expression and efflux activity were highly upregulated in resistant derivatives. AC overexpression in HL-60 conferred resistance to the AML chemotherapeutic drugs, cytarabine, mitoxantrone, and daunorubicin, and was linked to P-gp upregulation. Furthermore, targeting AC through pharmacologic or genetic approaches decreased P-gp levels and increased sensitivity to chemotherapeutic drugs. Mechanistically, AC overexpression increased NF-κB activation whereas NF-kB inhibitors reduced P-gp levels, indicating that the NF-kappaB pathway contributes to AC-mediated modulation of P-gp expression. Hence, our data support an important role for AC in drug resistance as well as survival and suggest that sphingolipid targeting approaches may also impact drug resistance in AML.
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Abe M, Ogawa H, Ikeda S, Aono Y, Doi K, An Y, Ishii M, Iguchi M, Masunaga N, Esato M, Tsuji H, Wada H, Hasegawa K, Akao M. P1649The incidence and risk factors of percutaneous coronary intervention procedures in patients with atrial fibrillation: the fushimi AF registry. Eur Heart J 2018. [DOI: 10.1093/eurheartj/ehy565.p1649] [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: 11/14/2022] Open
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Ishii M, Ogawa H, Aono Y, Ikeda S, Doi K, An Y, Iguchi M, Masunaga N, Esato M, Wada H, Hasagawa K, Abe M, Akao M. P3858Relationship between diabetes mellitus and a risk of stroke or systemic embolism in patients with atrial fibrillation: the Fushimi AF registry. Eur Heart J 2018. [DOI: 10.1093/eurheartj/ehy563.p3858] [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] Open
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Ishii M, Ogawa H, Aono Y, Ikeda S, Doi K, An Y, Iguchi M, Masunaga N, Esato M, Wada H, Hasegawa K, Abe M, Akao M. P977Relationship between diabetes mellitus and a risk of heart failure hospitalization in patients with atrial fibrillation: the Fushimi AF registry. Eur Heart J 2018. [DOI: 10.1093/eurheartj/ehy564.p977] [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: 11/12/2022] Open
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An Y, Iguchi M, Aono Y, Ikeda S, Doi K, Ishii M, Masunaga N, Esato M, Tsuji H, Wada H, Hasegawa K, Ogawa H, Abe M, Akao M. P6591Prognostic impact of paroxysmal versus sustained atrial fibrillation on the incidence of cardiac death and heart failure hospitalization:The Fushimi AF Registry. Eur Heart J 2018. [DOI: 10.1093/eurheartj/ehy566.p6591] [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] Open
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Ikeda S, Iguchi M, Aono Y, Doi K, An Y, Ishii M, Masunaga N, Esato M, Wada H, Hasegawa K, Ogawa H, Abe M, Akao M. P6026Impact of proteinuria on cardiovascular outcomes in Japanese patients with atrial fibrillation: the Fushimi AF Registry. Eur Heart J 2018. [DOI: 10.1093/eurheartj/ehy566.p6026] [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] Open
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Tan SF, Liu X, Fox TE, Barth BM, Sharma A, Turner SD, Awwad A, Dewey A, Doi K, Spitzer B, Shah MV, Morad SAF, Desai D, Amin S, Zhu J, Liao J, Yun J, Kester M, Claxton DF, Wang HG, Cabot MC, Schuchman EH, Levine RL, Feith DJ, Loughran TP. Acid ceramidase is upregulated in AML and represents a novel therapeutic target. Oncotarget 2018; 7:83208-83222. [PMID: 27825124 PMCID: PMC5347763 DOI: 10.18632/oncotarget.13079] [Citation(s) in RCA: 67] [Impact Index Per Article: 11.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2016] [Accepted: 10/13/2016] [Indexed: 12/20/2022] Open
Abstract
There is an urgent unmet need for new therapeutics in acute myeloid leukemia (AML) as standard therapy has not changed in the past three decades and outcome remains poor for most patients. Sphingolipid dysregulation through decreased ceramide levels and elevated sphingosine 1-phosphate (S1P) promotes cancer cell growth and survival. Acid ceramidase (AC) catalyzes ceramide breakdown to sphingosine, the precursor for S1P. We report for the first time that AC is required for AML blast survival. Transcriptome analysis and enzymatic assay show that primary AML cells have high levels of AC expression and activity. Treatment of patient samples and cell lines with AC inhibitor LCL204 reduced viability and induced apoptosis. AC overexpression increased the expression of anti-apoptotic Mcl-1, significantly increased S1P and decreased ceramide. Conversely, LCL204 induced ceramide accumulation and decreased Mcl-1 through post-translational mechanisms. LCL204 treatment significantly increased overall survival of C57BL/6 mice engrafted with leukemic C1498 cells and significantly decreased leukemic burden in NSG mice engrafted with primary human AML cells. Collectively, these studies demonstrate that AC plays a critical role in AML survival through regulation of both sphingolipid levels and Mcl-1. We propose that AC warrants further exploration as a novel therapeutic target in AML.
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Watanabe R, Namba K, Takeda K, Yamamoto K, Katsuragawa S, Doi K, Nakayama R. An Improved Computer-aided Diagnosis Scheme Using the Nearest Neighbor Criterion for Determining Histological Classification of Clustered Microcalcifications. Methods Inf Med 2018. [DOI: 10.1055/s-0038-1625433] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
Abstract
Summary
Objectives
: Our purpose was to evaluate the potential usefulness of the nearest neighbor case which was assumed to be the similar case in a CAD scheme for determining the histological classification of clustered microcalcifications.
Methods
: Our database consisted of current and previous magnification mammograms obtained from 93 patients before and after three-month follow-up examination. It included 11 invasive carcinomas, 19 noninvasive carcinomas of the comedo type, 25 noninvasive carcinomas of the noncomedo type, 23 mas- topathies, and 15 fibroadenomas. Six objective features on clustered microcalcifications were first extracted from each of the current and the previous images. The nearest neighbor case was then identified by the Euclidean distance in the previous and current feature-space. The histological classification of an unknown new case in question was assumed to be thesame as that of the nearest neighbor case which has the shortest Euclidean distance in our database.
Results
: The classification accuracies were 90.9% for invasive carcinoma, 89.5% for noninvasive carcinoma of the comedo type, 96.0% for noninvasive carcinoma of the noncomedo type, 82.6% for mastopathy, and 93.3% for fibroadenoma. These results were substantially higher than those with our previous CAD scheme.
Conclusion
: The nearest neighbor criterion was useful in a CAD scheme for determining the histological classification.
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Abbott BP, Abbott R, Abbott TD, Abernathy MR, Acernese F, Ackley K, Adams C, Adams T, Addesso P, Adhikari RX, Adya VB, Affeldt C, Agathos M, Agatsuma K, Aggarwal N, Aguiar OD, Aiello L, Ain A, Ajith P, Akutsu T, Allen B, Allocca A, Altin PA, Ananyeva A, Anderson SB, Anderson WG, Ando M, Appert S, Arai K, Araya A, Araya MC, Areeda JS, Arnaud N, Arun KG, Asada H, Ascenzi S, Ashton G, Aso Y, Ast M, Aston SM, Astone P, Atsuta S, Aufmuth P, Aulbert C, Avila-Alvarez A, Awai K, Babak S, Bacon P, Bader MKM, Baiotti L, Baker PT, Baldaccini F, Ballardin G, Ballmer SW, Barayoga JC, Barclay SE, Barish BC, Barker D, Barone F, Barr B, Barsotti L, Barsuglia M, Barta D, Bartlett J, Barton MA, Bartos I, Bassiri R, Basti A, Batch JC, Baune C, Bavigadda V, Bazzan M, Bécsy B, Beer C, Bejger M, Belahcene I, Belgin M, Bell AS, Berger BK, Bergmann G, Berry CPL, Bersanetti D, Bertolini A, Betzwieser J, Bhagwat S, Bhandare R, Bilenko IA, Billingsley G, Billman CR, Birch J, Birney R, Birnholtz O, Biscans S, Bisht A, Bitossi M, Biwer C, Bizouard MA, Blackburn JK, Blackman J, Blair CD, Blair DG, Blair RM, Bloemen S, Bock O, Boer M, Bogaert G, Bohe A, Bondu F, Bonnand R, Boom BA, Bork R, Boschi V, Bose S, Bouffanais Y, Bozzi A, Bradaschia C, Brady PR, Braginsky VB, Branchesi M, Brau JE, Briant T, Brillet A, Brinkmann M, Brisson V, Brockill P, Broida JE, Brooks AF, Brown DA, Brown DD, Brown NM, Brunett S, Buchanan CC, Buikema A, Bulik T, Bulten HJ, Buonanno A, Buskulic D, Buy C, Byer RL, Cabero M, Cadonati L, Cagnoli G, Cahillane C, Calderón Bustillo J, Callister TA, Calloni E, Camp JB, Cannon KC, Cao H, Cao J, Capano CD, Capocasa E, Carbognani F, Caride S, Casanueva Diaz J, Casentini C, Caudill S, Cavaglià M, Cavalier F, Cavalieri R, Cella G, Cepeda CB, Cerboni Baiardi L, Cerretani G, Cesarini E, Chamberlin SJ, Chan M, Chao S, Charlton P, Chassande-Mottin E, Cheeseboro BD, Chen HY, Chen Y, Cheng HP, Chincarini A, Chiummo A, Chmiel T, Cho HS, Cho M, Chow JH, Christensen N, Chu Q, Chua AJK, Chua S, Chung S, Ciani G, Clara F, Clark JA, Cleva F, Cocchieri C, Coccia E, Cohadon PF, Colla A, Collette CG, Cominsky L, Constancio M, Conti L, Cooper SJ, Corbitt TR, Cornish N, Corsi A, Cortese S, Costa CA, Coughlin MW, Coughlin SB, Coulon JP, Countryman ST, Couvares P, Covas PB, Cowan EE, Coward DM, Cowart MJ, Coyne DC, Coyne R, Creighton JDE, Creighton TD, Cripe J, Crowder SG, Cullen TJ, Cumming A, Cunningham L, Cuoco E, Canton TD, Danilishin SL, D’Antonio S, Danzmann K, Dasgupta A, Da Silva Costa CF, Dattilo V, Dave I, Davier M, Davies GS, Davis D, Daw EJ, Day B, Day R, De S, DeBra D, Debreczeni G, Degallaix J, De Laurentis M, Deléglise S, Del Pozzo W, Denker T, Dent T, Dergachev V, De Rosa R, DeRosa RT, DeSalvo R, Devine RC, Dhurandhar S, Díaz MC, Fiore LD, Giovanni MD, Girolamo TD, Lieto AD, Pace SD, Palma ID, Virgilio AD, Doctor Z, Doi K, Dolique V, Donovan F, Dooley KL, Doravari S, Dorrington I, Douglas R, Dovale Álvarez M, Downes TP, Drago M, Drever RWP, Driggers JC, Du Z, Ducrot M, Dwyer SE, Eda K, Edo TB, Edwards MC, Effler A, Eggenstein HB, Ehrens P, Eichholz J, Eikenberry SS, Eisenstein RA, Essick RC, Etienne Z, Etzel T, Evans M, Evans TM, Everett R, Factourovich M, Fafone V, Fair H, Fairhurst S, Fan X, Farinon S, Farr B, Farr WM, Fauchon-Jones EJ, Favata M, Fays M, Fehrmann H, Fejer MM, Fernández Galiana A, Ferrante I, Ferreira EC, Ferrini F, Fidecaro F, Fiori I, Fiorucci D, Fisher RP, Flaminio R, Fletcher M, Fong H, Forsyth SS, Fournier JD, Frasca S, Frasconi F, Frei Z, Freise A, Frey R, Frey V, Fries EM, Fritschel P, Frolov VV, Fujii Y, Fujimoto MK, Fulda P, Fyffe M, Gabbard H, Gadre BU, Gaebel SM, Gair JR, Gammaitoni L, Gaonkar SG, Garufi F, Gaur G, Gayathri V, Gehrels N, Gemme G, Genin E, Gennai A, George J, Gergely L, Germain V, Ghonge S, Ghosh A, Ghosh A, Ghosh S, Giaime JA, Giardina KD, Giazotto A, Gill K, Glaefke A, Goetz E, Goetz R, Gondan L, González G, Gonzalez Castro JM, Gopakumar A, Gorodetsky ML, Gossan SE, Gosselin M, Gouaty R, Grado A, Graef C, Granata M, Grant A, Gras S, Gray C, Greco G, Green AC, Groot P, Grote H, Grunewald S, Guidi GM, Guo X, Gupta A, Gupta MK, Gushwa KE, Gustafson EK, Gustafson R, Hacker JJ, Hagiwara A, Hall BR, Hall ED, Hammond G, Haney M, Hanke MM, Hanks J, Hanna C, Hannam MD, Hanson J, Hardwick T, Harms J, Harry GM, Harry IW, Hart MJ, Hartman MT, Haster CJ, Haughian K, Hayama K, Healy J, Heidmann A, Heintze MC, Heitmann H, Hello P, Hemming G, Hendry M, Heng IS, Hennig J, Henry J, Heptonstall AW, Heurs M, Hild S, Hirose E, Hoak D, Hofman D, Holt K, Holz DE, Hopkins P, Hough J, Houston EA, Howell EJ, Hu YM, Huerta EA, Huet D, Hughey B, Husa S, Huttner SH, Huynh-Dinh T, Indik N, Ingram DR, Inta R, Ioka K, Isa HN, Isac JM, Isi M, Isogai T, Itoh Y, Iyer BR, Izumi K, Jacqmin T, Jani K, Jaranowski P, Jawahar S, Jiménez-Forteza F, Johnson WW, Jones DI, Jones R, Jonker RJG, Ju L, Junker J, Kagawa T, Kajita T, Kakizaki M, Kalaghatgi CV, Kalogera V, Kamiizumi M, Kanda N, Kandhasamy S, Kanemura S, Kaneyama M, Kang G, Kanner JB, Karki S, Karvinen KS, Kasprzack M, Kataoka Y, Katsavounidis E, Katzman W, Kaufer S, Kaur T, Kawabe K, Kawai N, Kawamura S, Kéfélian F, Keitel D, Kelley DB, Kennedy R, Key JS, Khalili FY, Khan I, Khan S, Khan Z, Khazanov EA, Kijbunchoo N, Kim C, Kim H, Kim JC, Kim J, Kim W, Kim YM, Kimbrell SJ, Kimura N, King EJ, King PJ, Kirchhoff R, Kissel JS, Klein B, Kleybolte L, Klimenko S, Koch P, Koehlenbeck SM, Kojima Y, Kokeyama K, Koley S, Komori K, Kondrashov V, Kontos A, Korobko M, Korth WZ, Kotake K, Kowalska I, Kozak DB, Krämer C, Kringel V, Krishnan B, Królak A, Kuehn G, Kumar P, Kumar R, Kumar R, Kuo L, Kuroda K, Kutynia A, Kuwahara Y, Lackey BD, Landry M, Lang RN, Lange J, Lantz B, Lanza RK, Lartaux-Vollard A, Lasky PD, Laxen M, Lazzarini A, Lazzaro C, Leaci P, Leavey S, Lebigot EO, Lee CH, Lee HK, Lee HM, Lee HW, Lee K, Lehmann J, Lenon A, Leonardi M, Leong JR, Leroy N, Letendre N, Levin Y, Li TGF, Libson A, Littenberg TB, Liu J, Lockerbie NA, Lombardi AL, London LT, Lord JE, Lorenzini M, Loriette V, Lormand M, Losurdo G, Lough JD, Lousto CO, Lovelace G, Lück H, Lundgren AP, Lynch R, Ma Y, Macfoy S, Machenschalk B, MacInnis M, Macleod DM, Magaña-Sandoval F, Majorana E, Maksimovic I, Malvezzi V, Man N, Mandic V, Mangano V, Mano S, Mansell GL, Manske M, Mantovani M, Marchesoni F, Marchio M, Marion F, Márka S, Márka Z, Markosyan AS, Maros E, Martelli F, Martellini L, Martin IW, Martynov DV, Mason K, Masserot A, Massinger TJ, Masso-Reid M, Mastrogiovanni S, Matichard F, Matone L, Matsumoto N, Matsushima F, Mavalvala N, Mazumder N, McCarthy R, McClelland DE, McCormick S, McGrath C, McGuire SC, McIntyre G, McIver J, McManus DJ, McRae T, McWilliams ST, Meacher D, Meadors GD, Meidam J, Melatos A, Mendell G, Mendoza-Gandara D, Mercer RA, Merilh EL, Merzougui M, Meshkov S, Messenger C, Messick C, Metzdorff R, Meyers PM, Mezzani F, Miao H, Michel C, Michimura Y, Middleton H, Mikhailov EE, Milano L, Miller AL, Miller A, Miller BB, Miller J, Millhouse M, Minenkov Y, Ming J, Mirshekari S, Mishra C, Mitrofanov VP, Mitselmakher G, Mittleman R, Miyakawa O, Miyamoto A, Miyamoto T, Miyoki S, Moggi A, Mohan M, Mohapatra SRP, Montani M, Moore BC, Moore CJ, Moraru D, Moreno G, Morii W, Morisaki S, Moriwaki Y, Morriss SR, Mours B, Mow-Lowry CM, Mueller G, Muir AW, Mukherjee A, Mukherjee D, Mukherjee S, Mukund N, Mullavey A, Munch J, Muniz EAM, Murray PG, Mytidis A, Nagano S, Nakamura K, Nakamura T, Nakano H, Nakano M, Nakano M, Nakao K, Napier K, Nardecchia I, Narikawa T, Naticchioni L, Nelemans G, Nelson TJN, Neri M, Nery M, Neunzert A, Newport JM, Newton G, Nguyen TT, Ni WT, Nielsen AB, Nissanke S, Nitz A, Noack A, Nocera F, Nolting D, Normandin MEN, Nuttall LK, Oberling J, Ochsner E, Oelker E, Ogin GH, Oh JJ, Oh SH, Ohashi M, Ohishi N, Ohkawa M, Ohme F, Okutomi K, Oliver M, Ono K, Ono Y, Oohara K, Oppermann P, Oram RJ, O’Reilly B, O’Shaughnessy R, Ottaway DJ, Overmier H, Owen BJ, Pace AE, Page J, Pai A, Pai SA, Palamos JR, Palashov O, Palomba C, Pal-Singh A, Pan H, Pankow C, Pannarale F, Pant BC, Paoletti F, Paoli A, Papa MA, Paris HR, Parker W, Pascucci D, Pasqualetti A, Passaquieti R, Passuello D, Patricelli B, Pearlstone BL, Pedraza M, Pedurand R, Pekowsky L, Pele A, Peña Arellano FE, Penn S, Perez CJ, Perreca A, Perri LM, Pfeiffer HP, Phelps M, Piccinni OJ, Pichot M, Piergiovanni F, Pierro V, Pillant G, Pinard L, Pinto IM, Pitkin M, Poe M, Poggiani R, Popolizio P, Post A, Powell J, Prasad J, Pratt JWW, Predoi V, Prestegard T, Prijatelj M, Principe M, Privitera S, Prodi GA, Prokhorov LG, Puncken O, Punturo M, Puppo P, Pürrer M, Qi H, Qin J, Qiu S, Quetschke V, Quintero EA, Quitzow-James R, Raab FJ, Rabeling DS, Radkins H, Raffai P, Raja S, Rajan C, Rakhmanov M, Rapagnani P, Raymond V, Razzano M, Re V, Read J, Regimbau T, Rei L, Reid S, Reitze DH, Rew H, Reyes SD, Rhoades E, Ricci F, Riles K, Rizzo M, Robertson NA, Robie R, Robinet F, Rocchi A, Rolland L, Rollins JG, Roma VJ, Romano R, Romie JH, Rosińska D, Rowan S, Rüdiger A, Ruggi P, Ryan K, Sachdev S, Sadecki T, Sadeghian L, Sago N, Saijo M, Saito Y, Sakai K, Sakellariadou M, Salconi L, Saleem M, Salemi F, Samajdar A, Sammut L, Sampson LM, Sanchez EJ, Sandberg V, Sanders JR, Sasaki Y, Sassolas B, Sathyaprakash BS, Sato S, Sato T, Saulson PR, Sauter O, Savage RL, Sawadsky A, Schale P, Scheuer J, Schmidt E, Schmidt J, Schmidt P, Schnabel R, Schofield RMS, Schönbeck A, Schreiber E, Schuette D, Schutz BF, Schwalbe SG, Scott J, Scott SM, Sekiguchi T, Sekiguchi Y, Sellers D, Sengupta AS, Sentenac D, Sequino V, Sergeev A, Setyawati Y, Shaddock DA, Shaffer TJ, Shahriar MS, Shapiro B, Shawhan P, Sheperd A, Shibata M, Shikano Y, Shimoda T, Shoda A, Shoemaker DH, Shoemaker DM, Siellez K, Siemens X, Sieniawska M, Sigg D, Silva AD, Singer A, Singer LP, Singh A, Singh R, Singhal A, Sintes AM, Slagmolen BJJ, Smith B, Smith JR, Smith RJE, Somiya K, Son EJ, Sorazu B, Sorrentino F, Souradeep T, Spencer AP, Srivastava AK, Staley A, Steinke M, Steinlechner J, Steinlechner S, Steinmeyer D, Stephens BC, Stevenson SP, Stone R, Strain KA, Straniero N, Stratta G, Strigin SE, Sturani R, Stuver AL, Sugimoto Y, Summerscales TZ, Sun L, Sunil S, Sutton PJ, Suzuki T, Swinkels BL, Szczepańczyk MJ, Tacca M, Tagoshi H, Takada S, Takahashi H, Takahashi R, Takamori A, Talukder D, Tanaka H, Tanaka K, Tanaka T, Tanner DB, Tápai M, Taracchini A, Tatsumi D, Taylor R, Telada S, Theeg T, Thomas EG, Thomas M, Thomas P, Thorne KA, Thrane E, Tippens T, Tiwari S, Tiwari V, Tokmakov KV, Toland K, Tomaru T, Tomlinson C, Tonelli M, Tornasi Z, Torrie CI, Töyrä D, Travasso F, Traylor G, Trifirò D, Trinastic J, Tringali MC, Trozzo L, Tse M, Tso R, Tsubono K, Tsuzuki T, Turconi M, Tuyenbayev D, Uchiyama T, Uehara T, Ueki S, Ueno K, Ugolini D, Unnikrishnan CS, Urban AL, Ushiba T, Usman SA, Vahlbruch H, Vajente G, Valdes G, van Bakel N, van Beuzekom M, van den Brand JFJ, Van Den Broeck C, Vander-Hyde DC, van der Schaaf L, van Heijningen JV, van Putten MHPM, van Veggel AA, Vardaro M, Varma V, Vass S, Vasúth M, Vecchio A, Vedovato G, Veitch J, Veitch PJ, Venkateswara K, Venugopalan G, Verkindt D, Vetrano F, Viceré A, Viets AD, Vinciguerra S, Vine DJ, Vinet JY, Vitale S, Vo T, Vocca H, Vorvick C, Voss DV, Vousden WD, Vyatchanin SP, Wade AR, Wade LE, Wade M, Wakamatsu T, Walker M, Wallace L, Walsh S, Wang G, Wang H, Wang M, Wang Y, Ward RL, Warner J, Was M, Watchi J, Weaver B, Wei LW, Weinert M, Weinstein AJ, Weiss R, Wen L, Weßels P, Westphal T, Wette K, Whelan JT, Whiting BF, Whittle C, Williams D, Williams RD, Williamson AR, Willis JL, Willke B, Wimmer MH, Winkler W, Wipf CC, Wittel H, Woan G, Woehler J, Worden J, Wright JL, Wu DS, Wu G, Yam W, Yamamoto H, Yamamoto K, Yamamoto T, Yancey CC, Yano K, Yap MJ, Yokoyama J, Yokozawa T, Yoon TH, Yu H, Yu H, Yuzurihara H, Yvert M, Zadrożny A, Zangrando L, Zanolin M, Zeidler S, Zendri JP, Zevin M, Zhang L, Zhang M, Zhang T, Zhang Y, Zhao C, Zhou M, Zhou Z, Zhu SJ, Zhu XJ, Zucker ME, Zweizig J. Prospects for observing and localizing gravitational-wave transients with Advanced LIGO, Advanced Virgo and KAGRA. LIVING REVIEWS IN RELATIVITY 2018; 21:3. [PMID: 29725242 PMCID: PMC5920066 DOI: 10.1007/s41114-018-0012-9] [Citation(s) in RCA: 67] [Impact Index Per Article: 11.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/11/2017] [Accepted: 02/07/2018] [Indexed: 05/21/2023]
Abstract
We present possible observing scenarios for the Advanced LIGO, Advanced Virgo and KAGRA gravitational-wave detectors over the next decade, with the intention of providing information to the astronomy community to facilitate planning for multi-messenger astronomy with gravitational waves. We estimate the sensitivity of the network to transient gravitational-wave signals, and study the capability of the network to determine the sky location of the source. We report our findings for gravitational-wave transients, with particular focus on gravitational-wave signals from the inspiral of binary neutron star systems, which are the most promising targets for multi-messenger astronomy. The ability to localize the sources of the detected signals depends on the geographical distribution of the detectors and their relative sensitivity, and [Formula: see text] credible regions can be as large as thousands of square degrees when only two sensitive detectors are operational. Determining the sky position of a significant fraction of detected signals to areas of 5-[Formula: see text] requires at least three detectors of sensitivity within a factor of [Formula: see text] of each other and with a broad frequency bandwidth. When all detectors, including KAGRA and the third LIGO detector in India, reach design sensitivity, a significant fraction of gravitational-wave signals will be localized to a few square degrees by gravitational-wave observations alone.
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Inokuchi R, Maehara H, Iwai S, Yamaguchi Y, Asada T, Doi K, Morimura N. 135 Interface Design Dividing Physical Findings Into Medical and Trauma Findings Facilitates Clinical Document Entry in the Emergency Department: A Prospective Observational Study. Ann Emerg Med 2017. [DOI: 10.1016/j.annemergmed.2017.07.161] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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Ozaki K, Doi H, Mitsui J, Sato N, Yamane K, Majima T, Irioka T, Ishiura H, Doi K, Morishita S, Koyama K, Miura Y, Matsumoto N, Tanaka F, Tsuji S, Mizusawa H, Yokota T, Ishikawa K. Clinicoradiological characteristics of SCA34 patients with the hot cross bun sign caused by the P.TRP246GLY mutation in ELOVL4. J Neurol Sci 2017. [DOI: 10.1016/j.jns.2017.08.2508] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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