Magyar
Toggle navigation
Tudóstér
Magyar
Tudóstér
Keresés
Egyszerű keresés
Összetett keresés
CCL keresés
Egyszerű keresés
Összetett keresés
CCL keresés
Böngészés
Saját polc tartalma
(
0
)
Korábbi keresések
CCL parancs
CCL
Összesen 2 találat.
#/oldal:
12
36
60
120
Rövid
Hosszú
MARC
Részletezés:
Rendezés:
Szerző növekvő
Szerző csökkenő
Cím növekvő
Cím csökkenő
Dátum növekvő
Dátum csökkenő
1.
001-es BibID:
BIBFORM083560
035-os BibID:
(WOS)000574394600030 (Scopus)85078897832
Első szerző:
Brito-Zerón, Pilar
Cím:
Epidemiological profile and north-south gradient driving baseline systemic involvement of primary Sjögren's syndrome / Pilar Brito-Zerón, Nihan Acar-Denizli, Wan-Fai Ng, Ildiko Fanny Horváth, Astrid Rasmussen, Raphaele Seror, Xiaomei Li, Chiara Baldini, Jacques-Eric Gottenberg, Debashish Danda, Luca Quartuccio, Roberta Priori, Gabriela Hernandez-Molina, Berkan Armagan, Aike A. Kruize, Seung-Ki Kwok, Marika Kvarnstrom, Sonja Praprotnik, Damien Sene, Roberto Gerli, Roser Solans, Maureen Rischmueller, Thomas Mandl, Yasunori Suzuki, David Isenberg, Valeria Valim, Piotr Wiland, Gunnel Nordmark, Guadalupe Fraile, Hendrika Bootsma, Hideki Nakamura, Roberto Giacomelli, Valerie Devauchelle-Pensec, Benedikt Hofauer, Michele Bombardieri, Virginia Fernandes Moça Trevisani, Daniel Hammenfors, Sandra G. Pasoto, Soledad Retamozo, Tamer A. Gheita, Fabiola Atzeni, Jacques Morel, Cristina Vollenweider, Margit Zeher, Kathy Sivils, Bei Xu, Stefano Bombardieri, Pulukool Sandhya, Salvatore De Vita, Antonina Minniti, Jorge Sánchez-Guerrero, Levent Kilic, Eefje van der Heijden, Sung-Hwan Park, Marie Wahren-Herlenius, Xavier Mariette, Manuel Ramos-Casals, Sjögren Big Data Consortium
Dátum:
2020
ISSN:
1462-0324 1462-0332
Megjegyzések:
OBJECTIVE: To characterize the systemic phenotype of primary Sjögren's syndrome at diagnosis by analysing the EULAR-SS disease activity index (ESSDAI) scores. METHODS: The Sjögren Big Data Consortium is an international, multicentre registry based on worldwide data-sharing cooperative merging of pre-existing databases from leading centres in clinical research in Sjögren's syndrome from the five continents. RESULTS: The cohort included 10 007 patients (9352 female, mean 53?years) with recorded ESSDAI scores available. At diagnosis, the mean total ESSDAI score was 6.1; 81.8% of patients had systemic activity (ESSDAI score ?1). Males had a higher mean ESSDAI (8.1 vs 6.0, P?<?0.001) compared with females, as did patients diagnosed at <35?years (6.7 vs 5.6 in patients diagnosed at >65?years, P?<?0.001). The highest global ESSDAI score was reported in Black/African Americans, followed by White, Asian and Hispanic patients (6.7, 6.5, 5.4 and 4.8, respectively; P?<?0.001). The frequency of involvement of each systemic organ also differed between ethnic groups, with Black/African American patients showing the highest frequencies in the lymphadenopathy, articular, peripheral nervous system, CNS and biological domains, White patients in the glandular, cutaneous and muscular domains, Asian patients in the pulmonary, renal and haematological domains and Hispanic patients in the constitutional domain. Systemic activity measured by the ESSDAI, clinical ESSDAI (clinESSDAI) and disease activity states was higher in patients from southern countries (P?<?0.001). CONCLUSION: The systemic phenotype of primary Sjögren's syndrome is strongly influenced by personal determinants such as age, gender, ethnicity and place of residence, which are key geoepidemiological players in driving the expression of systemic disease at diagnosis.
Tárgyszavak:
Orvostudományok
Klinikai orvostudományok
idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
ethnicity
gender
geoepidemiology
phenotype
primary Sjögren's syndrome
Megjelenés:
Rheumatology. - 59 : 9 (2020), p. 2350-2359. -
További szerzők:
Acar-Denizli, Nihan
Ng, Wan Fai
Horváth Ildikó Fanny (1980-) (belgyógyász, allergológus, klinikai immunológus)
Rasmussen, Astrid
Seror, Raphaele
Li, Xiaomei
Baldini, Chiara
Gottenberg, Jacques-Eric
Danda, Debashish
Quartuccio, Luca
Priori, Roberta
Hernandez-Molina, Gabriela
Armagan, Berkan
Kruize, Aike A.
Kwok, Seung-Ki
Kvarnstrom, Marika
Praprotnik, Sonja
Sene, Damien
Gerli, Roberto
Solans, Roser
Rischmueller, Maureen
Mandl, Thomas
Suzuki, Yasunori
Isenberg, David A.
Valim, Valeria
Wiland, Piotr
Nordmark, Gunnel
Fraile, Guadalupe
Bootsma, Hendrika
Nakamura, Hideki
Giacomelli, Roberto
Devauchelle-Pensec, Valerie
Hofauer, Benedikt
Bombardieri, Michele
Trevisani, Virginia Fernandes Moça
Hammenfors, Daniel
Pasoto, Sandra
Retamozo, Soledad
Gheita, Tamer A.
Atzeni, Fabiola
Morel, Jacques
Vollenveider, Cristina
Zeher Margit (1957-2018) (belgyógyász, allergológus és klinikai immunológus, reumatológus)
Sivils, Kathy
Xu, Bei
Bombardieri, Stefano
Sandhya, Pulukool
Vita, Salvatore de
Minniti, Antonina
Sanchez-Guerrero, Jorge
Kilic, Levent
Heijden, Eefje van der
Park, Sung-Hwan
Wahren-Herlenius, Marie
Mariette, Xavier
Ramos-Casals, Manuel
Sjögren Big Data Consortium
Internet cím:
Szerző által megadott URL
DOI
Intézményi repozitóriumban (DEA) tárolt változat
Borító:
Saját polcon:
2.
001-es BibID:
BIBFORM074743
035-os BibID:
(WOS)000446486100015 (Scopus)85055613559
Első szerző:
Brito-Zerón, Pilar
Cím:
How immunological profile drives clinical phenotype of primary Sjögren's syndrome at diagnosis : analysis of 10,500 patients (Sjögren Big Data Project) / P. Brito-Zerón, N. Acar-Denizli, W. F. Ng, M. Zeher, A. Rasmussen, T. Mandl, R. Seror, X. Li, C. Baldini, Jacques-Eric Gottenberg, D. Danda, L. Quartuccio, R. Priori, G. Hernandez-Molina, B. Armagan, A. A. Kruize, Seung-Ki Kwok, M. Kvarnström, S. Praprotnik, D. Sène, E. Bartoloni, R. Solans, M. Rischmueller, Y. Suzuki, D. A. Isenberg, V. Valim, P. Wiland, G. Nordmark, G. Fraile, H. Bootsma, T. Nakamura, R. Giacomelli, V. Devauchelle-Pensec, A. Knopf, M. Bombardieri, V. Trevisani, D. Hammenfors, S. Pasoto, S. Retamozo, T. A. Gheita, F. Atzeni, J. Morel, C. Vollenveider, I. Horvath, K. Sivils, P. Olsson, S. De Vita, J. Sánchez-Guerrero, L. Kilic, M. Wahren-Herlenius, X. Mariette, M. Ramos-Casals, Sjögren Big Data Consortium
Dátum:
2018
ISSN:
0392-856X
Megjegyzések:
OBJECTIVES:To evaluate the influence of the main immunological markers on the disease phenotype at diagnosis in a large international cohort of patients with primary Sjögren's syndrome (SjS). METHODS:The Big Data Sjögren Project Consortium is an international, multicentre registry created in 2014. As a first step, baseline clinical information from leading centres on clinical research in SjS of the 5 continents was collected. The centres shared a harmonised data architecture and conducted cooperative online efforts in order to refine collected data under the coordination of a big data statistical team. Inclusion criteria were the fulfillment of the 2002 classification criteria. Immunological tests were carried out using standard commercial assays. RESULTS:By January 2018, the participant centres had included 10,500 valid patients from 22 countries. The cohort included 9,806 (93%) women and 694 (7%) men, with a mean age at diagnosis of primary SjS of 53 years, mainly White (78%) and included from European countries (71%). The frequency of positive immunological markers at diagnosis was 79.3% for ANA, 73.2% for anti-Ro, 48.6% for RF, 45.1% for anti- La, 13.4% for low C3 levels, 14.5% for low C4 levels and 7.3% for cryoglobulins. Positive autoantibodies (ANA, Ro, La) correlated with a positive result in salivary gland biopsy, while hypocomplementaemia and especially cryoglo-bulinaemia correlated with systemic activity (mean ESSDAI score of 17.7 for cryoglobulins, 11.3 for low C3 and 9.2 for low C4, in comparison with 3.8 for negative markers). The immunological markers with a great number of statistically-significant associations (p<0.001) in the organ-by-organ ESS- DAI evaluation were cryoglobulins (9 domains), low C3 (8 domains), anti-La (7 domains) and low C4 (6 domains). CONCLUSIONS:We confirm the strong influence of immunological markers on the phenotype of primary SjS at diagnosis in the largest multi-ethnic international cohort ever analysed, with a greater influence for cryoglobulinaemic-related markers in comparison with Ro/La autoantibodies and ANA. Immunological patterns play a central role in the phenotypic expression of the disease already at the time of diagnosis, and may guide physicians to design a specific personalised management during the follow-up of patients with primary SjS.
Tárgyszavak:
Orvostudományok
Klinikai orvostudományok
idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
primary Sjögren's syndrome
salivary gland biopsy
Ro/La autoantibodies
hypocomplementaemia
cryoglobulinaemia
ESSDAI
Megjelenés:
Clinical and Experimental Rheumatology. - 36 : Suppl. 112 (2018), p. S102-S112. -
További szerzők:
Acar-Denizli, Nihan
Ng, Wan Fai
Zeher Margit (1957-2018) (belgyógyász, allergológus és klinikai immunológus, reumatológus)
Rasmussen, Astrid
Mandl, Thomas
Seror, Raphaele
Li, X.
Baldini, Chiara
Gottenberg, Jacques-Eric
Danda, Debashish
Quartuccio, Luca
Priori, Roberta
Hernandez-Molina, Gabriela
Armagan, Berkan
Kruize, Aike A.
Kwok, Seung-Ki
Kvarnstrom, Marika
Praprotnik, Sonja
Sene, Damien
Bartoloni, Elena
Solans, Roser
Rischmueller, Maureen
Suzuki, Yasunori
Isenberg, David A.
Valim, Valeria
Wiland, Piotr
Nordmark, Gunnel
Fraile, Guadalupe
Bootsma, Hendrika
Nakamura, T.
Giacomelli, Roberto
Devauchelle-Pensec, Valerie
Knopf, A.
Bombardieri, Michele
Trevisani, Virginia Fernandes Moça
Hammenfors, Daniel
Pasoto, Sandra
Retamozo, Soledad
Gheita, Tamer A.
Atzeni, F.
Morel, Jacques
Vollenveider, Cristina
Horváth Ildikó Fanny (1980-) (belgyógyász, allergológus, klinikai immunológus)
Sivils, Kathy
Olsson, Peter
Vita, Salvatore de
Sanchez-Guerrero, Jorge
Kilic, Levent
Wahren-Herlenius, Marie
Mariette, Xavier
Ramos-Casals, Manuel
Sjögren Big Data Consortium
Internet cím:
Szerző által megadott URL
Intézményi repozitóriumban (DEA) tárolt változat
Borító:
Saját polcon:
Rekordok letöltése
1
Corvina könyvtári katalógus v8.2.27
© 2023
Monguz kft.
Minden jog fenntartva.