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Dias De Frias AF, Rodrigues P, Costa R, Pereira A, Alexandre A, Hipolito Reis A, Torres S. Orthostatic hypotension in hereditary ATTR Val30Met amyloidosis: predictors and associated clinical features. Eur Heart J 2021. [DOI: 10.1093/eurheartj/ehab724.1796] [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
Introduction
The prevalence of orthostatic hypotension (OH) in patients with mutated transthyretin (TTR) amyloidosis (mATTR) is 40–60%. According to previous studies, OH is frequent and an early feature in patients with Val30Met mutation (the most prevalent form of mATTR).
Aim
To characterize TTR Val30Met patients with OH and to identify clinical characteristics associated with OH development.
Methods
Retrospective study of consecutive Val30Met TTR patients with suspected cardiac involvement observed at our cardiology clinic during 2019. Two groups were defined: group 1: patients without OH; group 2: patients with OH. Data was obtained by chart review. Statistically significant predictors of OH were found using logistic regression.
Results
We included a total of 248 patients (group 1 – 173; group 2 – 75). Group 1 patients were 52% male, median age 45 [interquartile range (IQR) 39–55] and median age at onset 34 (IQR 29,75–46,25) years. Left ventricle hypertrophy [LVH, defined as maximal LV wall thickness (LVT) ≥12 mm] occurred in 26,5%, with median maximal LVT 10 mm (IQR 9–12); 49,7% had conduction disturbances, 30,6% gastrointestinal (GI), 17,3% genitourinary (GU) manifestations and 5% were in Coutinho staging ≥2/3. Group 2 had 56% male, median age of 49 years at evaluation (IQR 42–65) and 35 years at onset (IQR 30–59). LVH was present in 42,9%, with median maximal LVT 11 mm (IQR 10–14); 74,7% had conduction disturbances, 56% GI and 42,7% GU manifestations and 21% were in Coutinho staging ≥2/3.
In univariate analysis, higher age (p=0,005), presence of LVH (p=0,009), conduction disturbances (p<0,001), GU manifestations (p<0,001) and higher Coutinho staging (p<0,001) were all associated with the presence of OH, while age at onset was not (p=0,648). In multivariate analysis, only Coutinho staging [odds ratio (OR) 2.609; 95% confidence interval (95% CI) 1.344–5.065] and GU manifestations (OR 3,151; 95% CI 1,595–6,225) were found to be significant predictors of OH.
Conclusion
Our study suggests that OH is more associated with GU manifestations and Neurologic staging, than with amyloid cardiomyopathy or age, suggesting a predominant neurogenic component. The prevalence of OH in our sample of Val30Met patients was lower than previously described.
Funding Acknowledgement
Type of funding sources: None.
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Soares C, Grazina A, Vaz C, Henriques P, Correia G, Nunes R, Pereira A, Mykhayliv V, Sousa M, Spencer C. IRRADIATED BLOOD PRODUCTS-INSTITUTE PORTUGUESE OF ONCOLOGY – COIMBRA (IPOC) – EXPERIENCE OF BLOOD QUALITY ASSURANCE. Hematol Transfus Cell Ther 2021. [DOI: 10.1016/j.htct.2021.10.680] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022] Open
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Nunes R, Correia G, Soares C, Vaz C, Pereira A, Henriques P, Grazina A, Mykhayliv V, Spencer C. EVALUATION OF BLOOD HEMOLYSIS IN ERYTHROCYTES CONCENTRATE: OUR EXPERIENCE-INSTITUTE OF ONCOLOGY COIMBRA (IPOC). Hematol Transfus Cell Ther 2021. [DOI: 10.1016/j.htct.2021.10.621] [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] Open
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Álvarez RP, Daigre C, Ros-Cucurull E, Serrano-Pérez P, Ortega-Hernandez G, Fadeuilhe C, Sorribes M, Pereira A, Ramos-Quiroga J, Roncero C, Grau-López L. Insomnia at the onset of addiction treatment may be related to earlier relapses: A one-year follow-up study. Eur Psychiatry 2021. [PMCID: PMC9475577 DOI: 10.1192/j.eurpsy.2021.1497] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Introduction Insomnia has been related to a more severe substance use disorder presentation (1). There are few longitudinal studies in outpatients center for SUD treatment that evaluate how insomnia impacts on relapses. Objectives To analyze how insomnia impacts on the time of the first substance relapse in SUD outpatients after the onset of addiction treatment. Methods This is a one-year follow-up study performed on 116 patients (73.3% males; mean age 43.4±14.3) for whom we had information from baseline insomnia and the time for the first relapse. A Kaplan-Meier survival analysis was performed. This is part of a greater research on Alexithymia in SUD in a longitudinal study. Results The initial sample consisted of 116 patients, information on relapses was available for 113 patients. The main substances used at baseline were alcohol (62.1%), cocaine (56.0%), cannabis (42.2%), and opiates (30.2%).![]() Conclusions It is important to evaluate insomnia at the onset of addiction treatment because insomnia may be related to earlier relapses. Furthermore, it should be analyzed further on how insomnia treatment impact on substance relapses. REFERENCES 1. Miller MB, Donahue ML, Carey KB, Scott-Sheldon LAJ. Insomnia treatment in the context of alcohol use disorder: A systematic review and meta-analysis. Drug Alcohol Depend. 2017;181:200-207. doi:10.1016/j.drugalcdep.2017.09.029
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Martinez T, Almeida B, Cardoso C, Saldanha A, Scartezini M, Klosovski C, Pereira A, Filho RDS. The importance of the ratio trigycerides /HDL C in RHE Brazilian population residual risk. Atherosclerosis 2021. [DOI: 10.1016/j.atherosclerosis.2021.06.624] [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: 10/20/2022]
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Sena C, Pereira A, Queiroz M, Palmeira C, Seiça R. Berberine ameliorates endothelial dysfunction in metabolic syndrome. Atherosclerosis 2021. [DOI: 10.1016/j.atherosclerosis.2021.06.294] [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: 11/25/2022]
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Martinez T, Saldanha A, Margeotto A, Gasparoto A, Guarnieri F, Pereira A. Outcome of dyslipidemic covid 19 patients in intensive care unit submitted to hemodialysis. Atherosclerosis 2021. [PMCID: PMC8415864 DOI: 10.1016/j.atherosclerosis.2021.06.651] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Sena C, Carvalho D, Pereira A, Queiroz M, Seiça R. Beneficial effects of pyridoxamine in endothelial dysfunction of type 2 diabetic animal models. Atherosclerosis 2021. [DOI: 10.1016/j.atherosclerosis.2021.06.293] [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: 10/20/2022]
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Cesca M, Ruiz-Garcia E, Weschenfelder R, D'Agustini N, Iseas S, Pereira A, Mello C, Riechelmann R. P-197 The influence of proton pump inhibitor utilization on the pathological response of rectal cancer: A multicenter study by the Sociedad Latino Americana de Oncologia Gastrointestinal (SLAGO). Ann Oncol 2021. [DOI: 10.1016/j.annonc.2021.05.252] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022] Open
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Medrano M, Soleto A, Pastor C, Rodríguez C, Carrasco R, Lapayese F, de la Peña A, Pereira A, Rincón E, Cabrera S, Ramos F, de la Cal E, Mota F, Queral V, Lopez-Heredero R, Manzanares A, Alén-Cordero C, Letellier L, Vives S, Martin V, Guern FL, Piqueras J, Kocan M. Design overview of ex-vessel components for the Wide Angle Viewing System diagnostic for ITER Equatorial Port 12. FUSION ENGINEERING AND DESIGN 2021. [DOI: 10.1016/j.fusengdes.2021.112651] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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JB, Canepa M, Cannavacciuolo M, Cannon KC, Cao H, Cao J, Cao Z, Capocasa E, Capote E, Carapella G, Carbognani F, Carlin JB, Carney MF, Carpinelli M, Carullo G, Carver TL, Casanueva Diaz J, Casentini C, Castaldi G, Caudill S, Cavaglià M, Cavalier F, Cavalieri R, Cella G, Cerdá-Durán P, Cesarini E, Chaibi W, Chakravarti K, Champion B, Chan CH, Chan C, Chan CL, Chan M, Chandra K, Chanial P, Chao S, Charlton P, Chase EA, Chassande-Mottin E, Chatterjee D, Chaturvedi M, Chatziioannou K, Chen A, Chen C, Chen HY, Chen J, Chen K, Chen X, Chen YB, Chen YR, Chen Z, Cheng H, Cheong CK, Cheung HY, Chia HY, Chiadini F, Chiang CY, Chierici R, Chincarini A, Chiofalo ML, Chiummo A, Cho G, Cho HS, Choate S, Choudhary RK, Choudhary S, Christensen N, Chu H, Chu Q, Chu YK, Chua S, Chung KW, Ciani G, Ciecielag P, Cieślar M, Cifaldi M, Ciobanu AA, Ciolfi R, Cipriano F, Cirone A, Clara F, Clark EN, Clark JA, Clarke L, Clearwater P, Clesse S, Cleva F, Coccia E, Cohadon PF, Cohen DE, Cohen L, Colleoni M, Collette CG, Colpi M, Compton CM, Constancio M, Conti L, Cooper SJ, Corban P, Corbitt TR, Cordero-Carrión I, Corezzi S, Corley KR, Cornish N, Corre D, Corsi A, Cortese S, Costa CA, Cotesta R, Coughlin MW, Coughlin SB, Coulon JP, Countryman ST, Cousins B, Couvares P, Covas PB, Coward DM, Cowart MJ, Coyne DC, Coyne R, Creighton JDE, Creighton TD, Criswell AW, Croquette M, Crowder SG, Cudell JR, Cullen TJ, Cumming A, Cummings R, Cuoco E, Curyło M, Canton TD, Dálya G, Dana A, DaneshgaranBajastani LM, D'Angelo B, Danilishin SL, D'Antonio S, Danzmann K, Darsow-Fromm C, Dasgupta A, Datrier LEH, Dattilo V, Dave I, Davier M, Davies GS, Davis D, Daw EJ, Dean R, Deenadayalan M, Degallaix J, De Laurentis M, Deléglise S, Del Favero V, De Lillo F, De Lillo N, Del Pozzo W, DeMarchi LM, De Matteis F, D'Emilio V, Demos N, Dent T, Depasse A, De Pietri R, De Rosa R, De Rossi C, DeSalvo R, De Simone R, Dhurandhar S, Díaz MC, Diaz-Ortiz M, Didio NA, Dietrich T, Di Fiore L, Di Fronzo C, Di Giorgio C, Di Giovanni F, Di Girolamo T, Di Lieto A, Ding B, Di Pace S, Di Palma I, Di Renzo F, Divakarla AK, Dmitriev A, Doctor Z, D'Onofrio L, Donovan F, Dooley KL, Doravari S, Dorrington I, Drago M, Driggers JC, Drori Y, Du Z, Ducoin JG, Dupej P, Durante O, D'Urso D, Duverne PA, Dwyer SE, Easter PJ, Ebersold M, Eddolls G, Edelman B, Edo TB, Edy O, Effler A, Eguchi S, Eichholz J, Eikenberry SS, Eisenmann M, Eisenstein RA, Ejlli A, Enomoto Y, Errico L, Essick RC, Estellés H, Estevez D, Etienne Z, Etzel T, Evans M, Evans TM, Ewing BE, Fafone V, Fair H, Fairhurst S, Fan X, Farah AM, Farinon S, Farr B, Farr WM, Farrow NW, Fauchon-Jones EJ, Favata M, Fays M, Fazio M, Feicht J, Fejer MM, Feng F, Fenyvesi E, Ferguson DL, Fernandez-Galiana A, Ferrante I, Ferreira TA, Fidecaro F, Figura P, Fiori I, Fishbach M, Fisher RP, Fishner JM, Fittipaldi R, Fiumara V, Flaminio R, Floden E, Flynn E, Fong H, Font JA, Fornal B, Forsyth PWF, Franke A, Frasca S, Frasconi F, Frederick C, Frei Z, Freise A, Frey R, Fritschel P, Frolov VV, Fronzé GG, Fujii Y, Fujikawa Y, Fukunaga M, Fukushima M, Fulda P, Fyffe M, Gabbard HA, Gadre BU, Gaebel SM, Gair JR, Gais J, Galaudage S, Gamba R, Ganapathy D, Ganguly A, Gao D, Gaonkar SG, Garaventa B, García-Núñez C, García-Quirós C, Garufi F, Gateley B, Gaudio S, Gayathri V, Ge G, Gemme G, Gennai A, George J, Gergely L, Gewecke P, Ghonge S, Ghosh A, Ghosh A, Ghosh S, Ghosh S, Ghosh S, Giacomazzo B, Giacoppo L, Giaime JA, Giardina KD, Gibson DR, Gier C, Giesler M, Giri P, Gissi F, Glanzer J, Gleckl AE, Godwin P, Goetz E, Goetz R, Gohlke N, Goncharov B, González G, Gopakumar A, Gosselin M, Gouaty R, Grace B, Grado A, Granata M, Granata V, Grant A, Gras S, Grassia P, Gray C, Gray R, Greco G, Green AC, Green R, Gretarsson AM, Gretarsson EM, Griffith D, Griffiths W, Griggs HL, Grignani G, Grimaldi A, Grimes E, Grimm SJ, Grote H, Grunewald S, Gruning P, Guerrero JG, Guidi GM, Guimaraes AR, Guixé G, Gulati HK, Guo HK, Guo Y, Gupta A, Gupta A, Gupta P, Gustafson EK, Gustafson R, Guzman F, Ha S, Haegel L, Hagiwara A, Haino S, Halim O, Hall ED, Hamilton EZ, Hammond G, Han WB, Haney M, Hanks J, Hanna C, Hannam MD, Hannuksela OA, Hansen H, Hansen TJ, Hanson J, Harder T, Hardwick T, Haris K, Harms J, Harry GM, Harry IW, Hartwig D, Hasegawa K, Haskell B, Hasskew RK, Haster CJ, Hattori K, Haughian K, Hayakawa H, Hayama K, Hayes FJ, Healy J, Heidmann A, Heintze MC, Heinze J, Heinzel J, Heitmann H, Hellman F, Hello P, Helmling-Cornell AF, Hemming G, Hendry M, Heng IS, Hennes E, Hennig J, Hennig MH, Hernandez Vivanco F, Heurs M, Hild S, Hill P, Himemoto Y, Hines AS, Hiranuma Y, Hirata N, Hirose E, Hochheim S, Hofman D, Hohmann JN, Holgado AM, Holland NA, Hollows IJ, Holmes ZJ, Holt K, Holz DE, Hong Z, Hopkins P, Hough J, Howell EJ, Hoy CG, Hoyland D, Hreibi A, Hsieh B, Hsu Y, Huang GZ, Huang HY, Huang P, Huang YC, Huang YJ, Huang YW, Hübner MT, Huddart AD, Huerta EA, Hughey B, Hui DCY, Hui V, Husa S, Huttner SH, Huxford R, Huynh-Dinh T, Ide S, Idzkowski B, Iess A, Ikenoue B, Imam S, Inayoshi K, Inchauspe H, Ingram C, Inoue Y, Intini G, Ioka K, Isi M, Isleif K, Ito K, Itoh Y, Iyer BR, Izumi K, JaberianHamedan V, Jacqmin T, Jadhav SJ, Jadhav SP, James AL, Jan AZ, Jani K, Janssens K, Janthalur NN, Jaranowski P, Jariwala D, Jaume R, Jenkins AC, Jeon C, Jeunon M, Jia W, Jiang J, Jin HB, Johns GR, Jones AW, Jones DI, Jones JD, Jones P, Jones R, Jonker RJG, Ju L, Jung K, Jung P, Junker J, Kaihotsu K, Kajita T, Kakizaki M, Kalaghatgi CV, Kalogera V, Kamai B, Kamiizumi M, Kanda N, Kandhasamy S, Kang G, Kanner JB, Kao Y, Kapadia SJ, Kapasi DP, Karathanasis C, Karki S, Kashyap R, Kasprzack M, Kastaun W, Katsanevas S, Katsavounidis E, Katzman W, Kaur T, Kawabe K, Kawaguchi K, Kawai N, Kawasaki T, Kéfélian F, Keitel D, Key JS, Khadka S, Khalili FY, Khan I, Khan S, Khazanov EA, Khetan N, Khursheed M, Kijbunchoo N, Kim C, Kim JC, Kim J, Kim K, Kim WS, Kim YM, Kimball C, Kimura N, King PJ, Kinley-Hanlon M, Kirchhoff R, Kissel JS, Kita N, Kitazawa H, Kleybolte L, Klimenko S, Knee AM, Knowles TD, Knyazev E, Koch P, Koekoek G, Kojima Y, Kokeyama K, Koley S, Kolitsidou P, Kolstein M, Komori K, Kondrashov V, Kong AKH, Kontos A, Koper N, Korobko M, Kotake K, Kovalam M, Kozak DB, Kozakai C, Kozu R, Kringel V, Krishnendu NV, Królak A, Kuehn G, Kuei F, Kumar A, Kumar P, Kumar R, Kumar R, Kume J, Kuns K, Kuo C, Kuo HS, Kuromiya Y, Kuroyanagi S, Kusayanagi K, Kwak K, Kwang S, Laghi D, Lalande E, Lam TL, Lamberts A, Landry M, Lane BB, Lang RN, Lange J, Lantz B, La Rosa I, Lartaux-Vollard A, Lasky PD, Laxen M, Lazzarini A, Lazzaro C, Leaci P, Leavey S, Lecoeuche YK, Lee HK, Lee HM, Lee HW, Lee J, Lee K, Lee R, Lehmann J, Lemaître A, Leon E, Leonardi M, Leroy N, Letendre N, Levin Y, Leviton JN, Li AKY, Li B, Li J, Li KL, Li TGF, Li X, Lin CY, Lin FK, Lin FL, Lin HL, Lin LCC, Linde F, Linker SD, Linley JN, Littenberg TB, Liu GC, Liu J, Liu K, Liu X, Llorens-Monteagudo M, Lo RKL, Lockwood A, Lollie ML, London LT, Longo A, Lopez D, Lorenzini M, Loriette V, Lormand M, Losurdo G, Lough JD, Lousto CO, Lovelace G, Lück H, Lumaca D, Lundgren AP, Luo LW, Macas R, MacInnis M, Macleod DM, MacMillan IAO, Macquet A, Magaña Hernandez I, Magaña-Sandoval F, Magazzù C, Magee RM, Maggiore R, Majorana E, Maksimovic I, Maliakal S, Malik A, Man N, Mandic V, Mangano V, Mango JL, Mansell GL, Manske M, Mantovani M, Marchesoni F, Marchio M, Marion F, Mark Z, Márka S, Márka Z, Markakis C, Markosyan AS, Markowitz A, Maros E, Marquina A, Marsat S, Martelli F, Martin IW, Martin RM, Martinez M, Martinez V, Martinovic K, Martynov DV, Marx EJ, Masalehdan H, Mason K, Massera E, Masserot A, Massinger TJ, Masso-Reid M, Mastrogiovanni S, Matas A, Mateu-Lucena M, Matichard F, Matiushechkina M, Mavalvala N, McCann JJ, McCarthy R, McClelland DE, McClincy P, McCormick S, McCuller L, McGhee GI, McGuire SC, McIsaac C, McIver J, McManus DJ, McRae T, McWilliams ST, Meacher D, Mehmet M, Mehta AK, Melatos A, Melchor DA, Mendell G, Menendez-Vazquez A, Menoni CS, Mercer RA, Mereni L, Merfeld K, Merilh EL, Merritt JD, Merzougui M, Meshkov S, Messenger C, Messick C, Meyers PM, Meylahn F, Mhaske A, Miani A, Miao H, Michaloliakos I, Michel C, Michimura Y, Middleton H, Milano L, Miller AL, Millhouse M, Mills JC, Milotti E, Milovich-Goff MC, Minazzoli O, Minenkov Y, Mio N, Mir LM, Mishkin A, Mishra C, Mishra T, Mistry T, Mitra S, Mitrofanov VP, Mitselmakher G, Mittleman R, Miyakawa O, Miyamoto A, Miyazaki Y, Miyo K, Miyoki S, Mo G, Mogushi K, Mohapatra SRP, Mohite SR, Molina I, Molina-Ruiz M, Mondin M, Montani M, Moore CJ, Moraru D, Morawski F, More A, Moreno C, Moreno G, Mori Y, Morisaki S, Moriwaki Y, Mours B, Mow-Lowry CM, Mozzon S, Muciaccia F, Mukherjee A, Mukherjee D, Mukherjee S, Mukherjee S, Mukund N, Mullavey A, Munch J, Muñiz EA, Murray PG, Musenich R, Nadji SL, Nagano K, Nagano S, Nakamura K, Nakano H, Nakano M, Nakashima R, Nakayama Y, Nardecchia I, Narikawa T, Naticchioni L, Nayak B, Nayak RK, Negishi R, Neil BF, Neilson J, Nelemans G, Nelson TJN, Nery M, Neunzert A, Ng KY, Ng SWS, Nguyen C, Nguyen P, Nguyen T, Nguyen Quynh L, Ni WT, Nichols SA, Nishizawa A, Nissanke S, Nocera F, Noh M, Norman M, North C, Nozaki S, Nuttall LK, Oberling J, O'Brien BD, Obuchi Y, O'Dell J, Ogaki W, Oganesyan G, Oh JJ, Oh K, Oh SH, Ohashi M, Ohishi N, Ohkawa M, Ohme F, Ohta H, Okada MA, Okutani Y, Okutomi K, Olivetto C, Oohara K, Ooi C, Oram R, O'Reilly B, Ormiston RG, Ormsby ND, Ortega LF, O'Shaughnessy R, O'Shea E, Oshino S, Ossokine S, Osthelder C, Otabe S, Ottaway DJ, Overmier H, Pace AE, Pagano G, Page MA, Pagliaroli G, Pai A, Pai SA, Palamos JR, Palashov O, Palomba C, Pan K, Panda PK, Pang H, Pang PTH, Pankow C, Pannarale F, Pant BC, Paoletti F, Paoli A, Paolone A, Parisi A, Park J, Parker W, Pascucci D, Pasqualetti A, Passaquieti R, Passuello D, Patel M, Patricelli B, Payne E, Pechsiri TC, Pedraza M, Pegoraro M, Pele A, Peña Arellano FE, Penn S, Perego A, Pereira A, Pereira T, Perez CJ, Périgois C, Perreca A, Perriès S, Petermann J, Petterson D, 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AB, Ying M, Yokogawa K, Yokoyama J, Yokozawa T, Yoon A, Yoshioka T, Yu H, Yu H, Yuzurihara H, Zadrożny A, Zanolin M, Zeidler S, Zelenova T, Zendri JP, Zevin M, Zhan M, Zhang H, Zhang J, Zhang L, Zhang R, Zhang T, Zhao C, Zhao G, Zhao Y, Zhao Y, Zhou Z, Zhu XJ, Zhu ZH, Zucker ME, Zweizig J. Constraints on Cosmic Strings Using Data from the Third Advanced LIGO-Virgo Observing Run. PHYSICAL REVIEW LETTERS 2021; 126:241102. [PMID: 34213926 DOI: 10.1103/physrevd.97.102002] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/30/2021] [Revised: 03/31/2021] [Accepted: 05/23/2021] [Indexed: 05/21/2023]
Abstract
We search for gravitational-wave signals produced by cosmic strings in the Advanced LIGO and Virgo full O3 dataset. Search results are presented for gravitational waves produced by cosmic string loop features such as cusps, kinks, and, for the first time, kink-kink collisions. A template-based search for short-duration transient signals does not yield a detection. We also use the stochastic gravitational-wave background energy density upper limits derived from the O3 data to constrain the cosmic string tension Gμ as a function of the number of kinks, or the number of cusps, for two cosmic string loop distribution models. Additionally, we develop and test a third model that interpolates between these two models. Our results improve upon the previous LIGO-Virgo constraints on Gμ by 1 to 2 orders of magnitude depending on the model that is tested. In particular, for the one-loop distribution model, we set the most competitive constraints to date: Gμ≲4×10^{-15}. In the case of cosmic strings formed at the end of inflation in the context of grand unified theories, these results challenge simple inflationary models.
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L, Merfeld K, Merilh EL, Merritt JD, Merzougui M, Meshkov S, Messenger C, Messick C, Meyers PM, Meylahn F, Mhaske A, Miani A, Miao H, Michaloliakos I, Michel C, Michimura Y, Middleton H, Milano L, Miller AL, Millhouse M, Mills JC, Milotti E, Milovich-Goff MC, Minazzoli O, Minenkov Y, Mio N, Mir LM, Mishkin A, Mishra C, Mishra T, Mistry T, Mitra S, Mitrofanov VP, Mitselmakher G, Mittleman R, Miyakawa O, Miyamoto A, Miyazaki Y, Miyo K, Miyoki S, Mo G, Mogushi K, Mohapatra SRP, Mohite SR, Molina I, Molina-Ruiz M, Mondin M, Montani M, Moore CJ, Moraru D, Morawski F, More A, Moreno C, Moreno G, Mori Y, Morisaki S, Moriwaki Y, Mours B, Mow-Lowry CM, Mozzon S, Muciaccia F, Mukherjee A, Mukherjee D, Mukherjee S, Mukherjee S, Mukund N, Mullavey A, Munch J, Muñiz EA, Murray PG, Musenich R, Nadji SL, Nagano K, Nagano S, Nakamura K, Nakano H, Nakano M, Nakashima R, Nakayama Y, Nardecchia I, Narikawa T, Naticchioni L, Nayak B, Nayak RK, Negishi R, Neil BF, Neilson J, Nelemans G, Nelson TJN, Nery M, Neunzert A, Ng KY, Ng SWS, Nguyen C, Nguyen P, Nguyen T, Nguyen Quynh L, Ni WT, Nichols SA, Nishizawa A, Nissanke S, Nocera F, Noh M, Norman M, North C, Nozaki S, Nuttall LK, Oberling J, O'Brien BD, Obuchi Y, O'Dell J, Ogaki W, Oganesyan G, Oh JJ, Oh K, Oh SH, Ohashi M, Ohishi N, Ohkawa M, Ohme F, Ohta H, Okada MA, Okutani Y, Okutomi K, Olivetto C, Oohara K, Ooi C, Oram R, O'Reilly B, Ormiston RG, Ormsby ND, Ortega LF, O'Shaughnessy R, O'Shea E, Oshino S, Ossokine S, Osthelder C, Otabe S, Ottaway DJ, Overmier H, Pace AE, Pagano G, Page MA, Pagliaroli G, Pai A, Pai SA, Palamos JR, Palashov O, Palomba C, Pan K, Panda PK, Pang H, Pang PTH, Pankow C, Pannarale F, Pant BC, Paoletti F, Paoli A, Paolone A, Parisi A, Park J, Parker W, Pascucci D, Pasqualetti A, Passaquieti R, Passuello D, Patel M, Patricelli B, Payne E, Pechsiri TC, Pedraza M, Pegoraro M, Pele A, Peña Arellano FE, Penn S, Perego A, Pereira A, Pereira T, Perez CJ, Périgois C, Perreca A, Perriès S, Petermann J, Petterson D, Pfeiffer HP, Pham KA, Phukon KS, Piccinni OJ, Pichot M, Piendibene M, Piergiovanni F, Pierini L, Pierro V, Pillant G, Pilo F, Pinard L, Pinto IM, Piotrzkowski BJ, Piotrzkowski K, Pirello M, Pitkin M, Placidi E, Plastino W, Pluchar C, Poggiani R, Polini E, Pong DYT, Ponrathnam S, Popolizio P, Porter EK, Powell J, Pracchia M, Pradier T, Prajapati AK, Prasai K, Prasanna R, Pratten G, Prestegard T, Principe M, Prodi GA, Prokhorov L, Prosposito P, Prudenzi L, Puecher A, Punturo M, Puosi F, Puppo P, Pürrer M, Qi H, Quetschke V, Quinonez PJ, Quitzow-James R, Raab FJ, Raaijmakers G, Radkins H, Radulesco N, Raffai P, Rail SX, Raja S, Rajan C, Ramirez KE, Ramirez TD, Ramos-Buades A, Rana J, Rapagnani P, Rapol UD, Ratto B, Raymond V, Raza N, Razzano M, Read J, Rees LA, Regimbau T, Rei L, Reid S, Reitze DH, Relton P, Rettegno P, Ricci F, Richardson CJ, Richardson JW, Richardson L, Ricker PM, Riemenschneider G, Riles K, Rizzo M, Robertson NA, Robie R, Robinet F, Rocchi A, Rocha JA, Rodriguez S, Rodriguez-Soto RD, Rolland L, Rollins JG, Roma VJ, Romanelli M, Romano R, Romel CL, Romero A, Romero-Shaw IM, Romie JH, Rose CA, Rosińska D, Rosofsky SG, Ross MP, Rowan S, Rowlinson SJ, Roy S, Roy S, Rozza D, Ruggi P, Ryan K, Sachdev S, Sadecki T, Sadiq J, Sago N, Saito S, Saito Y, Sakai K, Sakai Y, Sakellariadou M, Sakuno Y, Salafia OS, Salconi L, Saleem M, Salemi F, Samajdar A, Sanchez EJ, Sanchez JH, Sanchez LE, Sanchis-Gual N, Sanders JR, Sanuy A, Saravanan TR, Sarin N, Sassolas B, Satari H, Sato S, Sato T, Sauter O, Savage RL, Savant V, Sawada T, Sawant D, Sawant HL, Sayah S, Schaetzl D, Scheel M, Scheuer J, Schindler-Tyka A, Schmidt P, Schnabel R, Schneewind M, Schofield RMS, Schönbeck A, Schulte BW, Schutz BF, Schwartz E, Scott J, Scott SM, Seglar-Arroyo M, Seidel E, Sekiguchi T, Sekiguchi Y, Sellers D, Sengupta AS, Sennett N, Sentenac D, Seo EG, Sequino V, Setyawati Y, Shaffer T, Shahriar MS, Shams B, Shao L, Sharifi S, Sharma A, Sharma P, Shawhan P, Shcheblanov NS, Shen H, Shibagaki S, Shikauchi M, Shimizu R, Shimoda T, Shimode K, Shink R, Shinkai H, Shishido T, Shoda A, Shoemaker DH, Shoemaker DM, Shukla K, ShyamSundar S, Sieniawska M, Sigg D, Singer LP, Singh D, Singh N, Singha A, Sintes AM, Sipala V, Skliris V, Slagmolen BJJ, Slaven-Blair TJ, Smetana J, Smith JR, Smith RJE, Somala SN, Somiya K, Son EJ, Soni K, Soni S, Sorazu B, Sordini V, Sorrentino F, Sorrentino N, Sotani H, Soulard R, Souradeep T, Sowell E, Spagnuolo V, Spencer AP, Spera M, Srivastava AK, Srivastava V, Staats K, Stachie C, Steer DA, Steinlechner J, Steinlechner S, Stops DJ, Stover M, Strain KA, Strang LC, Stratta G, Strunk A, Sturani R, Stuver AL, Südbeck J, Sudhagar S, Sudhir V, Sugimoto R, Suh HG, Summerscales TZ, Sun H, Sun L, Sunil S, Sur A, Suresh J, Sutton PJ, Suzuki T, Suzuki T, Swinkels BL, Szczepańczyk MJ, Szewczyk P, Tacca M, Tagoshi H, Tait SC, Takahashi H, Takahashi R, Takamori A, Takano S, Takeda H, Takeda M, Talbot C, Tanaka H, Tanaka K, Tanaka K, Tanaka T, Tanaka T, Tanasijczuk AJ, Tanioka S, Tanner DB, Tao D, Tapia A, Tapia San Martin EN, Tapia San Martin EN, Tasson JD, Telada S, Tenorio R, Terkowski L, Test M, Thirugnanasambandam MP, Thomas M, Thomas P, Thompson JE, Thondapu SR, Thorne KA, Thrane E, Tiwari S, Tiwari S, Tiwari V, Toland K, Tolley AE, Tomaru T, Tomigami Y, Tomura T, Tonelli M, Torres-Forné A, Torrie CI, Tosta E Melo I, Töyrä D, Trapananti A, Travasso F, Traylor G, Tringali MC, Tripathee A, Troiano L, Trovato A, Trozzo L, Trudeau RJ, Tsai DS, Tsai D, Tsang KW, Tsang T, Tsao JS, Tse M, Tso R, Tsubono K, Tsuchida S, Tsukada L, Tsuna D, Tsutsui T, Tsuzuki T, Turconi M, Tuyenbayev D, Ubhi AS, Uchikata N, Uchiyama T, Udall RP, Ueda A, Uehara T, Ueno K, Ueshima G, Ugolini D, Unnikrishnan CS, Uraguchi F, Urban AL, Ushiba T, Usman SA, Utina AC, Vahlbruch H, Vajente G, Vajpeyi A, Valdes G, Valentini M, Valsan V, 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 Remortel N, Vardaro M, Vargas AF, Varma V, Vasúth M, Vecchio A, Vedovato G, Veitch J, Veitch PJ, Venkateswara K, Venneberg J, Venugopalan G, Verkindt D, Verma Y, Veske D, Vetrano F, Viceré A, Viets AD, Villa-Ortega V, Vinet JY, Vitale S, Vo T, Vocca H, von Reis ERG, Vorvick C, Vyatchanin SP, Wade LE, Wade M, Wagner KJ, Walet RC, Walker M, Wallace GS, Wallace L, Walsh S, Wang J, Wang JZ, Wang WH, Ward RL, Warner J, Was M, Washimi T, Washington NY, Watchi J, Weaver B, Wei L, Weinert M, Weinstein AJ, Weiss R, Weller CM, Wellmann F, Wen L, Weßels P, Westhouse JW, Wette K, Whelan JT, White DD, Whiting BF, Whittle C, Wilken D, Williams D, Williams MJ, Williamson AR, Willis JL, Willke B, Wilson DJ, Winkler W, Wipf CC, Wlodarczyk T, Woan G, Woehler J, Wofford JK, Wong ICF, Wrangel J, Wu C, Wu DS, Wu H, Wu S, Wysocki DM, Xiao L, Xu WR, Yamada T, Yamamoto H, Yamamoto K, Yamamoto K, Yamamoto T, Yamashita K, Yamazaki R, Yang FW, Yang L, Yang Y, Yang Y, Yang Z, Yap MJ, Yeeles DW, Yelikar AB, Ying M, Yokogawa K, Yokoyama J, Yokozawa T, Yoon A, Yoshioka T, Yu H, Yu H, Yuzurihara H, Zadrożny A, Zanolin M, Zeidler S, Zelenova T, Zendri JP, Zevin M, Zhan M, Zhang H, Zhang J, Zhang L, Zhang R, Zhang T, Zhao C, Zhao G, Zhao Y, Zhao Y, Zhou Z, Zhu XJ, Zhu ZH, Zucker ME, Zweizig J. Constraints on Cosmic Strings Using Data from the Third Advanced LIGO-Virgo Observing Run. PHYSICAL REVIEW LETTERS 2021; 126:241102. [PMID: 34213926 DOI: 10.1103/physrevlett.126.241102] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/30/2021] [Revised: 03/31/2021] [Accepted: 05/23/2021] [Indexed: 06/13/2023]
Abstract
We search for gravitational-wave signals produced by cosmic strings in the Advanced LIGO and Virgo full O3 dataset. Search results are presented for gravitational waves produced by cosmic string loop features such as cusps, kinks, and, for the first time, kink-kink collisions. A template-based search for short-duration transient signals does not yield a detection. We also use the stochastic gravitational-wave background energy density upper limits derived from the O3 data to constrain the cosmic string tension Gμ as a function of the number of kinks, or the number of cusps, for two cosmic string loop distribution models. Additionally, we develop and test a third model that interpolates between these two models. Our results improve upon the previous LIGO-Virgo constraints on Gμ by 1 to 2 orders of magnitude depending on the model that is tested. In particular, for the one-loop distribution model, we set the most competitive constraints to date: Gμ≲4×10^{-15}. In the case of cosmic strings formed at the end of inflation in the context of grand unified theories, these results challenge simple inflationary models.
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Santos MR, Pereira A, Temtem M, Mendonca F, Sousa JA, Monteiro JP, Sousa AC, Freitas S, Henriques E, Ornelas I, Drumond A, Mendonca MI, Palma Dos Reis R. Lipid profile in a population with coronary artery disease in Madeira Island. Eur J Prev Cardiol 2021. [DOI: 10.1093/eurjpc/zwab061.167] [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]
Abstract
Abstract
Funding Acknowledgements
Type of funding sources: None.
Introduction
Coronary artery disease (CAD) remains a leading cause of morbidity and mortality worldwide. We know that plasma level of LDL cholesterol (LDL-C) is strongly associated with atherosclerosis, and its reduction with statins has led to a decrease in the incidence and complications of CAD. According to the 2019 ESC guidelines, in high-risk patient the aim is to achieve an absolute LDL-C treatment goal of <55mg/dL. 2016 ESC guidelines purposed, in the same patients, a LDL-C level of <70mg/dL.
Objective
To evaluate the degree of LDL-C control in coronary artery disease patients according to ESC guidelines.
Materials and Methods
Study analyses of 1687 patients selected from GENEMACOR study population, with at least one > 75% coronary stenosis by angiography (median age 53.3 ± 3 years and 54.8% men).
LDL-C was determined by chemical methods and all patients were statin treated. The population was divided in four groups according to LDL-C levels: inferior to 55mg/dL, inferior to 70mg/dL, inferior to 115mg/dL and superior to 115mg/dL.
Results
LDL-C mean value was 108.7mg/dL, median 105.1mg/dL (P25 83.0 and P75 127.4mg/dL). 150 (8.9%) patients had LDL-C < 55mg/dL vs 1537 (91.1%) with LDL-C ≥ 55 mg/dl. 275 (16.3%) patients had LDL-C < 70 mg/dL vs 1412 (83.7%) with LDL-C ≥ 70 mg/dL. 1084 (64.3%%) patients had LDL < 115 mg/dL vs 603 (35.7%) with LDL-C ≥ 115 mg/dL.
Conclusion
In our population LDL-C control levels was low, with 91.1% patients with LDL-C ≥ 55mg/dL and 83.7% patients with LDL ≥ 70 mg/dL. It is interesting to note that most of our patients have LDL-C levels above the recommend by the newest and, surprisingly, the 2016 dyslipidemia guidelines. It is therefore important to implement a more intensive treatment strategy of dyslipidemia in coronary patients.
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Santos MR, Palma Dos Reis R, Pereira A, Mendonca F, Temtem M, Sousa JA, Monteiro JP, Sousa AC, Freitas S, Henriques E, Ornelas I, Drumond A, Mendonca MI. Homocysteine, a predictor of cardiovascular adverse events in coronary artery disease. Eur J Prev Cardiol 2021. [DOI: 10.1093/eurjpc/zwab061.235] [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]
Abstract
Abstract
Funding Acknowledgements
Type of funding sources: None.
OnBehalf
GENEMACOR
Introduction
After the diagnosis of coronary artery disease (CAD), traditional risk factors such as diabetes mellitus, dyslipidemia, hypertension and smoking have been used to assess the risk of major cardiovascular adverse events (MACE). However, despite reduction of these factors, presence of MACE remains high. It is necessary to identify other causal risk factors for MACE in coronary patients and increased plasma Homocysteine (Hcy) level seems to be a likely candidate. However, the influence of Hcy levels in the prognosis of coronary patients presents a limited knowledge.
Objective
To evaluate the influence of high level of Hcy in MACE (defined as a composite endpoint of cardiovascular death, acute myocardial infarction, stroke, admission for heart failure and need to revascularization) of coronary artery patients.
Materials and Methods
Study analyses of 1687 patients selected from GENEMACOR study population, with at least one > 75% coronary stenosis by angiography. That population was divided in three terciles according to the Hcy level and the population of the 2nd tercil (Hcy 11.1-13.6mmol/L) was excluded. The end population of 1118 patients was a median age of 53.1 ± 7.9 years and 77.6% were men. We compared patients in the 1st (Hcy < 11.1mmol/L) and 3rd tercil (Hcy > 13.6mmol/L) during a mean follow up of 5.0 ± 4.8 years.
Results
560 (50.1%) patients were included in the 1st tercil group (median age 51.6 ± 3 years, 72.0% men) and 558 (49.9%) patients were in the 3rd tercil group (median age 54.6 ± 3 years, 83.3% men). In our population, high levels of Hcy were associated with MACE (OR 1.43, 95% CI: 1.12-1.83, p 0.004).
Conclusion
In our population a higher level of Hcy was associated with adverse prognosis and increased occurrence of MACE. Knowing that elevated homocysteine levels are associated with increased risk of MACE, in these patients is essential to have a more intensive therapeutic strategy.
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Macaes M, Pinto S, Pereira A, Lencart J, Fernandes P, Trigo L. OC-0015 Dosimetric evaluation of OAR in APBI patients treated with multicatheter interstitial brachytherapy. Radiother Oncol 2021. [DOI: 10.1016/s0167-8140(21)06268-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Oliveira A, Torres A, Pereira A, Santos I. Cancer-related cognitive impairment in cancer: Examining portuguese cancer survivors’ acceptability and expectations regarding cognitive telerehabilitation interventions. Eur Psychiatry 2021. [PMCID: PMC9475668 DOI: 10.1192/j.eurpsy.2021.1161] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
IntroductionCancer-related cognitive impairment (CRCI) is one of the most frequent and worrying side effects experienced by non-central nervous system (CNS) cancer survivors, generally related to cancer treatments. Considering its detrimental impact on quality of life, including work-related outcomes, it is necessary to identify effective intervention options. Cognitive rehabilitation is considered the first-line intervention to address CRCI, being effective at improving cognitive functioning. Internet-based interventions are emerging as important means of intervention in the field of cognitive rehabilitation (known as cognitive telerehabilitation), considering the potential to overcome accessibility issues and being cost-effective.ObjectivesTo assess the acceptability and expectations regarding such interventions, considering the scarce literature.MethodsA nationwide online survey was disseminated to Portuguese non-CNS cancer survivors, aged 18-65 years, who had finished active treatments, with no metastases/history of neurological or psychiatric disease/alcohol or drug abuse. Preexisting knowledge about CRCI, expectations for support to cognitive difficulties, Internet use for health and support purposes, and intervention needs and preferences in the context of cognitive telerehabilitation were examined; sociodemographic and clinical variables (e.g., age, education, employment status, cancer treatments), as well as cognitive complaints (Portuguese version of the Functional Assessment of Cancer Therapy-Cognitive, FACT-Cog), were also assessed.ResultsFindings from this study are important to help health professionals and researchers understand and identify cancer survivors’ needs regarding cognitive telerehabilitation interventions.ConclusionsThis information could be used as a support and guide for the development and delivery of these interventions for non-CNS cancer survivors.
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Sanders ED, Pereira A, Paulino GH. Optimal and continuous multilattice embedding. SCIENCE ADVANCES 2021; 7:7/16/eabf4838. [PMID: 33853782 PMCID: PMC8046378 DOI: 10.1126/sciadv.abf4838] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/29/2020] [Accepted: 02/26/2021] [Indexed: 06/12/2023]
Abstract
Because of increased geometric freedom at a widening range of length scales and access to a growing material space, additive manufacturing has spurred renewed interest in topology optimization of parts with spatially varying material properties and structural hierarchy. Simultaneously, a surge of micro/nanoarchitected materials have been demonstrated. Nevertheless, multiscale design and micro/nanoscale additive manufacturing have yet to be sufficiently integrated to achieve free-form, multiscale, biomimetic structures. We unify design and manufacturing of spatially varying, hierarchical structures through a multimicrostructure topology optimization formulation with continuous multimicrostructure embedding. The approach leads to an optimized layout of multiple microstructural materials within an optimized macrostructure geometry, manufactured with continuously graded interfaces. To make the process modular and controllable and to avoid prohibitively expensive surface representations, we embed the microstructures directly into the 3D printer slices. The ideas provide a critical, interdisciplinary link at the convergence of material and structure in optimal design and manufacturing.
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Bauduin S, Van Der Pal Z, Pereira A, Meijer O, Giltay E, Van Der Wee N, Van Der Werff S. Cortical thickness abnormalities in long-term remitted cushing’s disease. Eur Psychiatry 2021. [PMCID: PMC9470474 DOI: 10.1192/j.eurpsy.2021.363] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Introduction Remitted Cushing’s disease (RCD)-patients commonly continue to present persistent psychological and cognitive deficits, and alterations in brain function and structure. Assessing cortical thickness and surface area of RCD-patients may offer further insight into the neuroanatomical substrates of Cushing’s disease. Objectives To assess cortical thickness and surface area in RCD-patients in comparison to healthy controls (HCs). Methods Structural 3T MRI’s were obtained from 25 long-term RCD-patients, and 25 age-, gender-, and education-matched HCs. T1-weighted images were segmented to extract mean cortical thickness and surface area values of 68 cortical gray matter regions. Paired sample t-tests explored differences between the anterior cingulate cortex (ACC; region of interest), and the whole brain. Validated scales assessed psychiatric symptomatology, self-reported cognitive functioning, and disease severity. Results After correction for multiple comparisons, ROI analyses indicated that RCD-patients showed reduced cortical thickness of the left caudal ACC and the right rostral ACC compared to HCs. Whole-brain analyses indicated thinner cortices of the left caudal ACC, left cuneus, left posterior cingulate cortex, right rostral ACC, and bilateral precuneus compared to HCs. No cortical surface area differences were identified. Cortical thickness of the left caudal ACC was inversely associated with anxiety symptoms and disease duration. Conclusions In six of 68 regions examined, RCD patients had reduced cortical thickness in comparison to HCs. Cortical thickness of the left caudal ACC was inversely associated with disease duration, suggesting that prolonged and excessive exposure to glucocorticoids may be related to cortical thinning of brain structures involved in emotional and cognitive processing. Disclosure No significant relationships.
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Torres A, Santos I, Rosa C, Monteiro S, Rodrigues F, Figueiredo A, Santos T, Ribeiro O, Queirós A, Pereira A, Silva C. Integrated efforts to promote mental health care during the SARS-CoV-2 pandemic: Reflecting on the experience of a university helpline. Eur Psychiatry 2021. [PMCID: PMC9528517 DOI: 10.1192/j.eurpsy.2021.749] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Introduction The SARS-CoV-2 pandemic is affecting numerous dimensions of our society since the beginning of the outbreak. A significant increase in emotional distress was expected in the general population, particularly among the high-risk groups such as the oldest, chronic patients, healthcare professionals, and psychopathology vulnerable people. There was an urgent need to adapt and create solutions to promote mental health. Given the recommendations to minimize face-to-face interactions, several helplines were widely developed. Objectives In this work, we aim to reflect on the experience of a university helpline, that integrated efforts with the regional mental health care services. Methods
A University helpline was created to give support to the regional community outside academia. The team was created on an online teamwork platform, to communicate through the chat, carry videoconference meetings, and store useful files. A Manchester screening decision tree was adopted, to define a set of guidelines to provide support to the callers, based mainly on the guidelines defined by the Order of Portuguese Psychologists. Liaison with the mental health care services, including other specific helplines, was established. Results Notwithstanding all the efforts, the number of received calls was scarce, similarly to helplines created by other national universities and by other entities. Conclusions A new approach to psychological intervention in crisis is needed, maintaining integrated efforts, and taking advantage of the opportunity to foster personalized mental health care in the digital era. It is important to continuously assess the value of integrated efforts in patient care and to the healthcare system.
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Ketharanathan T, Pereira A, Reets U, Walker D, Sundram S. Brain changes in NF-κB1 and epidermal growth factor system markers at peri-pubescence in the spiny mouse following maternal immune activation. Psychiatry Res 2021; 295:113564. [PMID: 33229121 DOI: 10.1016/j.psychres.2020.113564] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/09/2020] [Accepted: 11/05/2020] [Indexed: 10/23/2022]
Abstract
Environmental risk factors that operate at foetal or neonatal levels increase the vulnerability to schizophrenia, plausibly via stress-immune activation that perturbs the epidermal growth factor (EGF) system, a system critical for neurodevelopment. We investigated potential associations between environmental insults and immune and EGF system changes through a maternal immune activation (MIA) model, using the precocial spiny mice (Acomys cahirinus). After mid-gestation MIA prepubescent offspring showed elevated NF-κB1 protein in nucleus accumbens, decreased EGFR in caudate putamen and a trend for increased PI3K-110δ in ventral hippocampus. Thus, prenatal stress may cause a heightened NF-κB1-mediated immune attenuation of EGF system signalling.
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Martinez T, Margeotto A, Saldanha A, Guarnieri F, Pereira A. Crosslinks in COVID19 as inflammation,thrombosis and dyslipidemia. Atherosclerosis 2020. [DOI: 10.1016/j.atherosclerosis.2020.10.575] [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: 10/22/2022]
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Maçães M, Pinto S, Pereira A, Lencart J, Fernandes P, Trigo L. PO-0947: Dosimetric evaluation of organs at risk in APBI patients treated with multicatheter interstitial BT. Radiother Oncol 2020. [DOI: 10.1016/s0167-8140(21)00964-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Serrao M, Temtem M, Pereira A, Monteiro J, Santos M, Sousa A, Henriques E, Freitas S, Ornelas I, Drumond A, Palma Dos Reis R, Mendonca M. Does coronary calcium scoring adds value to cardiovascular risk prediction in asymptomatic population? Eur Heart J 2020. [DOI: 10.1093/ehjci/ehaa946.2920] [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
Despite being a controversial subject, multiple guidelines mention the use of Coronary Artery Calcification (CAC) scoring in the cardiovascular risk prediction, in asymptomatic population. The inclusion of CAC scoring in traditional risk models may help in decision-make providing better cardiovascular risk stratification.
Purpose
The aim of our study is to estimate the impact of CAC scoring in cardiovascular events risk prediction in a model based on traditional risk factors (TRFs).
Methods and results
The study consisted of 1052 asymptomatic individuals free of known coronary heart disease, enrolled from GENEMACOR study and referred for computed tomography for the CAC scoring assessment. A cohort of 952 was followed for a mean of 5.2±3.2 years for the primary endpoint of all-cause of cardiovascular events. The following traditional risk factors were considered: (1) current cigarette smoking, (2) dyslipidemia, (3) diabetes mellitus, (4) hypertension and (5) family history of coronary heart disease. Among this population, the extent of CAC differs significantly between men and women in the same age group. Therefore, the distribution of CAC score by age and gender was done by using the Hoff's nomogram (a). According to this nomogram, 3 categories were created: low CAC (0≤CAC<100 and P<50); moderate CAC (100≤CAC<400 or P50–75) and high CAC (CAC≥400 or P>75). Two Cox regression models were created, the first only with TRFs and the second adding the CAC severity categories. When including CAC categories to the TRFs, the higher severity level presented a significant risk of MACE occurrence with an HR of 4.39 (95% CI 1.83–10.52; p=0.001).
Conclusion
Our results point to the importance of the inclusion of CAC in both primary and secondary prevention to an improved risk stratification. Larger prospective multicentre cohorts with longer follow-up should reproduce and validate these findings.
Funding Acknowledgement
Type of funding source: None
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Santos M, Pereira A, Mendonca F, Sousa J, Temtem M, Monteiro J, Sousa A, Freitas S, Rodrigues M, Ornelas I, Mendonca M, Palma Dos Reis R, Drumond A. What is the relationship between high-density lipoprotein cholesterol and the extension of coronary heart disease? Eur Heart J 2020. [DOI: 10.1093/ehjci/ehaa946.1749] [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
Introduction
Coronary atherosclerosis is an important pathophysiological mechanism in the development of coronary artery disease (CAD). While it has been proven via multiple studies that elevated levels of low-density lipoprotein (LDL) contribute to the development of atherosclerosis, high-density lipoprotein (HDL) is widely thought to have atheroprotective effects. Multiple epidemiologic studies have given the idea that high HDL levels protect against CAD, however, other trials also shown that its benefit can be paradoxical.
Objective
To evaluate the relationship between HDL levels and the extent of CAD (one vessel vs multivessel disease) in coronary artery patients.
Materials and methods
Study analyses of 1676 patients selected from GENEMACOR study population, with at least one >75% coronary stenosis by angiography (median age 53.3±7.9 years, 78.6% male, median HDL 43.0±11.1 mg/dL). Population was divided according to the HDL level quartiles (1st quartile HDL <35.3 mg/dL; 2nd quartile HDL 35.3–42 mg/dL; 3rd quartile HDL 42–49 mg/dL; 4th quartile HDL >49 mg/dL). Population of the 1st and 4th quartiles (825 patients, median age of 53.3±7.9 years and 78.7% male) were adjudicated and prospectively followed-up by 5.0±4.8 years. χ2 and T student tests were used to analyze the demographic, laboratorial, angiographic and anthropometric characteristics of the population according to HDL level.
Results
420 (50.9%) patients were included in the 1st quartile group (median age 53.2±7.9 years, 85.7% men) and 405 (49.1%) patients were included in the 4th quartile group (median age 53.4±8.0 years, 71.4% men). In our population, lower levels of HDL were associated with increased risk of multivessel coronary disease (OR 1.63, 95% CI 1.23–2.14, p 0.001).
Conclusion
Despite uncertainties about HDL benefit, in our population a higer level of HDL was associated with a shortest extent of coronary artery disease. We conclude that higher levels of HDL can be considered protective in coronary patients, and strategies to increase HDL levels may indeed translate in improved outcomes in CAD disease.
Funding Acknowledgement
Type of funding source: None
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Pereira A, Santos J, Loureiro M, Ferreira F, Almeida A, Cale R, Repolho D, Pereira H. Haemodynamic assessment of right ventricular overload in pulmonary hypertension: old parameters still fit better than new ones. Eur Heart J 2020. [DOI: 10.1093/ehjci/ehaa946.2302] [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
Introduction
Right ventricular (RV) adaptation to the increased pulmonary load is a key determinant of outcomes in pulmonary hypertension (PH). Pulmonary vascular resistance (PVR) is widely recognized as haemodynamic measure of RV overload. Cardiac filling pressure (CFP), RV stroke work (RVSW), pulmonary artery (PA) compliance and PA pulsatility index (PAPi) are emerging as new haemodynamic parameters to assess RV function.
Aims
To assess the predictive value of CFP, RVSW, PA compliance and PAPi in PH and to compare it with standard haemodynamic parameters.
Methods
Retrospective study including all consecutive right heart catheterizations performed from April/2009 to October/2019 in a PH referral centre. Procedures presenting PH were selected [mean pulmonary arterial pressure (mPAP) >20 mmHg, according to the new definition of the 6st World Symposium on PH]. CFP was calculated as [right atrial pressure (RAP) − pulmonary capillary wedge pressure], value >0.63 associated with RV failure; RVSW as CO / [(heart rate × (mPAP-RAP) × 0.0136], value <15; PA compliance [SV / pulmonary arterial systolic pressure (PASP) − pulmonary arterial diastolic pressure (PADP)], value <2.5]; PAPi [(PSAP − PDAP) / RAP, value <1.85]. Multivariate logistic regression was used to identify predictors of all-cause mortality. Receiver operating characteristic (ROC) curves and area under curve (AUC) were used to assess discrimination power.
Results
From a total of 569 procedures, 470 fulfilled PH criteria: mean age 57.9±16.0 years, 67.7% female, 35.5% performed under pulmonary vasodilator therapy. Pre-capillary PH was diagnosed in 71.9% of cases. Chronic thromboembolic PH was the most common subtype (34.4%). Concerning standard haemodynamic parameters: mPAP was 39.0±12.0 mmHg, mean RAP 8.0±5.0 mmHg, mean RVP 7.5±5.0 uWood and CI 2.5±0.8 L/min/m2. Median value of CFP was 0.6 (IQR 0.4–0.8), RVSW 15.2 (IQR 9.7–25.0), PA compliance 2.1 (IQR 0.9–2.9) and PAPi 5.3 (IQR 3.2–8.5). All-cause mortality rate was 22.8%. Patients experiencing adverse events had lower values of cardiac index (2.3±0.6 vs 2.6±0.8 L/min/m2, p<0.01), RVSW (11.2 vs 16.7, p<0.01) and PA compliance (2.2 vs 2.9, p<0.01) and higher values of PVR (10.0±5.5 versus 6.8±4.6 uWood, p<0.01) and mean RAP (9.9±6.1 versus 7.4±4.5, p<0.01). Multivariate logistic regression identified 2 independent predictors of adverse events: mean RAP (OR 1.08, 95% CI 1.02–1.13, p<0.01) and PVR (OR 1.11, 95% CI 1.06–1.17, p<0.01). According to the ROC curves, new haemodynamic parameters did not have acceptable discrimination power to adverse events occurrence (figure).
Conclusions
In this study, new haemodynamic parameters to assess RV overload in PH were not independent predictors of adverse events as opposite to standard haemodynamic parameters. Further studies are needed to clarify their predictive value, as it has major implications for understanding the arterial load in diseases of the pulmonary circulation.
Funding Acknowledgement
Type of funding source: None
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