TY  - JOUR
A1  - Dörk, Thilo
A1  - Peterlongo, Peter
A1  - Mannermaa, Arto
A1  - Bolla, Manjeet K.
A1  - Wang, Qin
A1  - Dennis, Joe
A1  - Ahearn, Thomas
A1  - Andrulis, Irene L.
A1  - Anton-Culver, Hoda
A1  - Arndt, Volker
A1  - Aronson, Kristan J.
A1  - Augustinsson, Annelie
A1  - Beane Freeman, Laura E.
A1  - Beckmann, Matthias W.
A1  - Beeghly-Fadiel, Alicia
A1  - Behrens, Sabine
A1  - Bermisheva, Marina
A1  - Blomqvist, Carl
A1  - Bogdanova, Natalia V.
A1  - Bojesen, Stig E.
A1  - Brauch, Hiltrud
A1  - Brenner, Hermann
A1  - Burwinkel, Barbara
A1  - Canzian, Federico
A1  - Chan, Tsun L.
A1  - Chang-Claude, Jenny
A1  - Chanock, Stephen J.
A1  - Choi, Ji-Yeob
A1  - Christiansen, Hans
A1  - Clarke, Christine L.
A1  - Couch, Fergus J.
A1  - Czene, Kamila
A1  - Daly, Mary B.
A1  - dos-Santos-Silva, Isabel
A1  - Dwek, Miriam
A1  - Eccles, Diana M.
A1  - Ekici, Arif B.
A1  - Eriksson, Mikael
A1  - Evans, D. Gareth
A1  - Fasching, Peter A.
A1  - Figueroa, Jonine
A1  - Flyger, Henrik
A1  - Fritschi, Lin
A1  - Gabrielson, Marike
A1  - Gago-Dominguez, Manuela
A1  - Gao, Chi
A1  - Gapstur, Susan M.
A1  - García-Closas, Montserrat
A1  - García-Sáenz, José A.
A1  - Gaudet, Mia M.
A1  - Giles, Graham G.
A1  - Goldberg, Mark S.
A1  - Goldgar, David E.
A1  - Guenél, Pascal
A1  - Haeberle, Lothar
A1  - Haimann, Christopher A.
A1  - Håkansson, Niclas
A1  - Hall, Per
A1  - Hamann, Ute
A1  - Hartman, Mikael
A1  - Hauke, Jan
A1  - Hein, Alexander
A1  - Hillemanns, Peter
A1  - Hogervorst, Frans B. L.
A1  - Hooning, Maartje J.
A1  - Hopper, John L.
A1  - Howell, Tony
A1  - Huo, Dezheng
A1  - Ito, Hidemi
A1  - Iwasaki, Motoki
A1  - Jakubowska, Anna
A1  - Janni, Wolfgang
A1  - John, Esther M.
A1  - Jung, Audrey
A1  - Kaaks, Rudolf
A1  - Kang, Daehee
A1  - Kapoor, Pooja Middha
A1  - Khusnutdinova, Elza
A1  - Kim, Sung-Won
A1  - Kitahara, Cari M.
A1  - Koutros, Stella
A1  - Kraft, Peter
A1  - Kristensen, Vessela N.
A1  - Kwong, Ava
A1  - Lambrechts, Diether
A1  - Le Marchand, Loic
A1  - Li, Jingmei
A1  - Lindström, Sara
A1  - Linet, Martha
A1  - Lo, Wing-Yee
A1  - Long, Jirong
A1  - Lophatananon, Artitaya
A1  - Lubiński, Jan
A1  - Manoochehri, Mehdi
A1  - Manoukian, Siranoush
A1  - Margolin, Sara
A1  - Martinez, Elena
A1  - Matsuo, Keitaro
A1  - Mavroudis, Dimitris
A1  - Meindl, Alfons
A1  - Menon, Usha
A1  - Milne, Roger L.
A1  - Mohd Taib, Nur Aishah
A1  - Muir, Kenneth
A1  - Mulligan, Anna Marie
A1  - Neuhausen, Susan L.
A1  - Nevanlinna, Heli
A1  - Neven, Patrick
A1  - Newman, William G.
A1  - Offit, Kenneth
A1  - Olopade, Olufunmilayo I.
A1  - Olshan, Andrew F.
A1  - Olson, Janet E.
A1  - Olsson, Håkan
A1  - Park, Sue K.
A1  - Park-Simon, Tjoung-Won
A1  - Peto, Julian
A1  - Plaseska-Karanfilska, Dijana
A1  - Pohl-Rescigno, Esther
A1  - Presneau, Nadege
A1  - Rack, Brigitte
A1  - Radice, Paolo
A1  - Rashid, Muhammad U.
A1  - Rennert, Gad
A1  - Rennert, Hedy S.
A1  - Romero, Atocha
A1  - Ruebner, Matthias
A1  - Saloustros, Emmanouil
A1  - Schmidt, Marjanka K.
A1  - Schmutzler, Rita K.
A1  - Schneider, Michael O.
A1  - Schoemaker, Minouk J.
A1  - Scott, Christopher
A1  - Shen, Chen-Yang
A1  - Shu, Xiao-Ou
A1  - Simard, Jaques
A1  - Slager, Susan
A1  - Smichkoska, Snezhana
A1  - Southey, Melissa C.
A1  - Spinelli, John J.
A1  - Stone, Jennifer
A1  - Surowy, Harald
A1  - Swerdlow, Anthony J.
A1  - Tamimi, Rulla M.
A1  - Tapper, William J.
A1  - Teo, Soo H.
A1  - Terry, Mary Beth
A1  - Toland, Amanda E.
A1  - Tollenaar, Rob A. E. M.
A1  - Torres, Diana
A1  - Torres-Mejía, Gabriela
A1  - Troester, Melissa A.
A1  - Truong, Thérèse
A1  - Tsugane, Shoichiro
A1  - Untch, Michael
A1  - Vachon, Celine M.
A1  - van den Ouweland, Ans M. W.
A1  - van Veen, Elke M.
A1  - Vijai, Joseph
A1  - Wendt, Camilla
A1  - Wolk, Alicja
A1  - Yu, Jyh-Cherng
A1  - Zheng, Wei
A1  - Ziogas, Argyrios
A1  - Ziv, Elad
A1  - Dunnig, Alison
A1  - Pharaoh, Paul D. P.
A1  - Schindler, Detlev
A1  - Devilee, Peter
A1  - Easton, Douglas F.
T1  - Two truncating variants in FANCC and breast cancer risk
JF  - Scientific Reports
N2  - Fanconi anemia (FA) is a genetically heterogeneous disorder with 22 disease-causing genes reported to date. In some FA genes, monoallelic mutations have been found to be associated with breast cancer risk, while the risk associations of others remain unknown. The gene for FA type C, FANCC, has been proposed as a breast cancer susceptibility gene based on epidemiological and sequencing studies. We used the Oncoarray project to genotype two truncating FANCC variants (p.R185X and p.R548X) in 64,760 breast cancer cases and 49,793 controls of European descent. FANCC mutations were observed in 25 cases (14 with p.R185X, 11 with p.R548X) and 26 controls (18 with p.R185X, 8 with p.R548X). There was no evidence of an association with the risk of breast cancer, neither overall (odds ratio 0.77, 95%CI 0.44–1.33, p = 0.4) nor by histology, hormone receptor status, age or family history. We conclude that the breast cancer risk association of these two FANCC variants, if any, is much smaller than for BRCA1, BRCA2 or PALB2 mutations. If this applies to all truncating variants in FANCC it would suggest there are differences between FA genes in their roles on breast cancer risk and demonstrates the merit of large consortia for clarifying risk associations of rare variants.
KW  - oncology
KW  - risk factors
Y1  - 2019
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-222838
VL  - 9
ER  - 
TY  - JOUR
A1  - Manchia, Mirko
A1  - Adli, Mazda
A1  - Akula, Nirmala
A1  - Arda, Raffaella
A1  - Aubry, Jean-Michel
A1  - Backlund, Lena
A1  - Banzato, Claudio E. M.
A1  - Baune, Bernhard T.
A1  - Bellivier, Frank
A1  - Bengesser, Susanne
A1  - Biernacka, Joanna M.
A1  - Brichant-Petitjean, Clara
A1  - Bui, Elise
A1  - Calkin, Cynthia V.
A1  - Cheng, Andrew Tai Ann
A1  - Chillotti, Caterina
A1  - Cichon, Sven
A1  - Clark, Scott
A1  - Czerski, Piotr M.
A1  - Dantas, Clarissa
A1  - Del Zompo, Maria
A1  - DePaulo, J. Raymond
A1  - Detera-Wadleigh, Sevilla D.
A1  - Etain, Bruno
A1  - Falkai, Peter
A1  - Frisén, Louise
A1  - Frye, Mark A.
A1  - Fullerton, Jan
A1  - Gard, Sébastien
A1  - Garnham, Julie
A1  - Goes, Fernando S.
A1  - Grof, Paul
A1  - Gruber, Oliver
A1  - Hashimoto, Ryota
A1  - Hauser, Joanna
A1  - Heilbronner, Urs
A1  - Hoban, Rebecca
A1  - Hou, Liping
A1  - Jamain, Stéphane
A1  - Kahn, Jean-Pierre
A1  - Kassem, Layla
A1  - Kato, Tadafumi
A1  - Kelsoe, John R.
A1  - Kittel-Schneider, Sarah
A1  - Kliwicki, Sebastian
A1  - Kuo, Po-Hsiu
A1  - Kusumi, Ichiro
A1  - Laje, Gonzalo
A1  - Lavebratt, Catharina
A1  - Leboyer, Marion
A1  - Leckband, Susan G.
A1  - López Jaramillo, Carlos A.
A1  - Maj, Mario
A1  - Malafosse, Alain
A1  - Martinsson, Lina
A1  - Masui, Takuya
A1  - Mitchell, Philip B.
A1  - Mondimore, Frank
A1  - Monteleone, Palmiero
A1  - Nallet, Audrey
A1  - Neuner, Maria
A1  - Novák, Tomás
A1  - O'Donovan, Claire
A1  - Ösby, Urban
A1  - Ozaki, Norio
A1  - Perlis, Roy H.
A1  - Pfennig, Andrea
A1  - Potash, James B.
A1  - Reich-Erkelenz, Daniela
A1  - Reif, Andreas
A1  - Reininghaus, Eva
A1  - Richardson, Sara
A1  - Rouleau, Guy A.
A1  - Rybakowski, Janusz K.
A1  - Schalling, Martin
A1  - Schofield, Peter R.
A1  - Schubert, Oliver K.
A1  - Schweizer, Barbara
A1  - Seemüller, Florian
A1  - Grigoroiu-Serbanescu, Maria
A1  - Severino, Giovanni
A1  - Seymour, Lisa R.
A1  - Slaney, Claire
A1  - Smoller, Jordan W.
A1  - Squassina, Alessio
A1  - Stamm, Thomas
A1  - Steele, Jo
A1  - Stopkova, Pavla
A1  - Tighe, Sarah K.
A1  - Tortorella, Alfonso
A1  - Turecki, Gustavo
A1  - Wray, Naomi R.
A1  - Wright, Adam
A1  - Zandi, Peter P.
A1  - Zilles, David
A1  - Bauer, Michael
A1  - Rietschel, Marcella
A1  - McMahon, Francis J.
A1  - Schulze, Thomas G.
A1  - Alda, Martin
T1  - Assessment of Response to Lithium Maintenance Treatment in Bipolar Disorder: A Consortium on Lithium Genetics (ConLiGen) Report
JF  - PLoS ONE
N2  - Objective: The assessment of response to lithium maintenance treatment in bipolar disorder (BD) is complicated by variable length of treatment, unpredictable clinical course, and often inconsistent compliance. Prospective and retrospective methods of assessment of lithium response have been proposed in the literature. In this study we report the key phenotypic measures of the "Retrospective Criteria of Long-Term Treatment Response in Research Subjects with Bipolar Disorder" scale currently used in the Consortium on Lithium Genetics (ConLiGen) study. 
Materials and Methods: Twenty-nine ConLiGen sites took part in a two-stage case-vignette rating procedure to examine inter-rater agreement [Kappa (\(\kappa\))] and reliability [intra-class correlation coefficient (ICC)] of lithium response. Annotated first-round vignettes and rating guidelines were circulated to expert research clinicians for training purposes between the two stages. Further, we analyzed the distributional properties of the treatment response scores available for 1,308 patients using mixture modeling. 
Results: Substantial and moderate agreement was shown across sites in the first and second sets of vignettes (\(\kappa\) = 0.66 and \(\kappa\) = 0.54, respectively), without significant improvement from training. However, definition of response using the A score as a quantitative trait and selecting cases with B criteria of 4 or less showed an improvement between the two stages (\(ICC_1 = 0.71\) and \(ICC_2 = 0.75\), respectively). Mixture modeling of score distribution indicated three subpopulations (full responders, partial responders, non responders). 
Conclusions: We identified two definitions of lithium response, one dichotomous and the other continuous, with moderate to substantial inter-rater agreement and reliability. Accurate phenotypic measurement of lithium response is crucial for the ongoing ConLiGen pharmacogenomic study.
KW  - age
KW  - observer agreement
KW  - prophylactic lithium
KW  - mapping susceptibility genes
KW  - mood disorders
KW  - onset
KW  - association
KW  - reliability
KW  - morality
KW  - illness
Y1  - 2013
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-130938
VL  - 8
IS  - 6
ER  - 
TY  - JOUR
A1  - El-Helou, Sabine M.
A1  - Biegner, Anika-Kerstin
A1  - Bode, Sebastian
A1  - Ehl, Stephan R.
A1  - Heeg, Maximilian
A1  - Maccari, Maria E.
A1  - Ritterbusch, Henrike
A1  - Speckmann, Carsten
A1  - Rusch, Stephan
A1  - Scheible, Raphael
A1  - Warnatz, Klaus
A1  - Atschekzei, Faranaz
A1  - Beider, Renata
A1  - Ernst, Diana
A1  - Gerschmann, Stev
A1  - Jablonka, Alexandra
A1  - Mielke, Gudrun
A1  - Schmidt, Reinhold E.
A1  - Schürmann, Gesine
A1  - Sogkas, Georgios
A1  - Baumann, Ulrich H.
A1  - Klemann, Christian
A1  - Viemann, Dorothee
A1  - Bernuth, Horst von
A1  - Krüger, Renate
A1  - Hanitsch, Leif G.
A1  - Scheibenbogen, Carmen M.
A1  - Wittke, Kirsten
A1  - Albert, Michael H.
A1  - Eichinger, Anna
A1  - Hauck, Fabian
A1  - Klein, Christoph
A1  - Rack-Hoch, Anita
A1  - Sollinger, Franz M.
A1  - Avila, Anne
A1  - Borte, Michael
A1  - Borte, Stephan
A1  - Fasshauer, Maria
A1  - Hauenherm, Anja
A1  - Kellner, Nils
A1  - Müller, Anna H.
A1  - Ülzen, Anett
A1  - Bader, Peter
A1  - Bakhtiar, Shahrzad
A1  - Lee, Jae-Yun
A1  - Heß, Ursula
A1  - Schubert, Ralf
A1  - Wölke, Sandra
A1  - Zielen, Stefan
A1  - Ghosh, Sujal
A1  - Laws, Hans-Juergen
A1  - Neubert, Jennifer
A1  - Oommen, Prasad T.
A1  - Hönig, Manfred
A1  - Schulz, Ansgar
A1  - Steinmann, Sandra
A1  - Klaus, Schwarz
A1  - Dückers, Gregor
A1  - Lamers, Beate
A1  - Langemeyer, Vanessa
A1  - Niehues, Tim
A1  - Shai, Sonu
A1  - Graf, Dagmar
A1  - Müglich, Carmen
A1  - Schmalzing, Marc T.
A1  - Schwaneck, Eva C.
A1  - Tony, Hans-Peter
A1  - Dirks, Johannes
A1  - Haase, Gabriele
A1  - Liese, Johannes G.
A1  - Morbach, Henner
A1  - Foell, Dirk
A1  - Hellige, Antje
A1  - Wittkowski, Helmut
A1  - Masjosthusmann, Katja
A1  - Mohr, Michael
A1  - Geberzahn, Linda
A1  - Hedrich, Christian M.
A1  - Müller, Christiane
A1  - Rösen-Wolff, Angela
A1  - Roesler, Joachim
A1  - Zimmermann, Antje
A1  - Behrends, Uta
A1  - Rieber, Nikolaus
A1  - Schauer, Uwe
A1  - Handgretinger, Rupert
A1  - Holzer, Ursula
A1  - Henes, Jörg
A1  - Kanz, Lothar
A1  - Boesecke, Christoph
A1  - Rockstroh, Jürgen K.
A1  - Schwarze-Zander, Carolynne
A1  - Wasmuth, Jan-Christian
A1  - Dilloo, Dagmar
A1  - Hülsmann, Brigitte
A1  - Schönberger, Stefan
A1  - Schreiber, Stefan
A1  - Zeuner, Rainald
A1  - Ankermann, Tobias
A1  - Bismarck, Philipp von
A1  - Huppertz, Hans-Iko
A1  - Kaiser-Labusch, Petra
A1  - Greil, Johann
A1  - Jakoby, Donate
A1  - Kulozik, Andreas E.
A1  - Metzler, Markus
A1  - Naumann-Bartsch, Nora
A1  - Sobik, Bettina
A1  - Graf, Norbert
A1  - Heine, Sabine
A1  - Kobbe, Robin
A1  - Lehmberg, Kai
A1  - Müller, Ingo
A1  - Herrmann, Friedrich
A1  - Horneff, Gerd
A1  - Klein, Ariane
A1  - Peitz, Joachim
A1  - Schmidt, Nadine
A1  - Bielack, Stefan
A1  - Groß-Wieltsch, Ute
A1  - Classen, Carl F.
A1  - Klasen, Jessica
A1  - Deutz, Peter
A1  - Kamitz, Dirk
A1  - Lassy, Lisa
A1  - Tenbrock, Klaus
A1  - Wagner, Norbert
A1  - Bernbeck, Benedikt
A1  - Brummel, Bastian
A1  - Lara-Villacanas, Eusebia
A1  - Münstermann, Esther
A1  - Schneider, Dominik T.
A1  - Tietsch, Nadine
A1  - Westkemper, Marco
A1  - Weiß, Michael
A1  - Kramm, Christof
A1  - Kühnle, Ingrid
A1  - Kullmann, Silke
A1  - Girschick, Hermann
A1  - Specker, Christof
A1  - Vinnemeier-Laubenthal, Elisabeth
A1  - Haenicke, Henriette
A1  - Schulz, Claudia
A1  - Schweigerer, Lothar
A1  - Müller, Thomas G.
A1  - Stiefel, Martina
A1  - Belohradsky, Bernd H.
A1  - Soetedjo, Veronika
A1  - Kindle, Gerhard
A1  - Grimbacher, Bodo
T1  - The German national registry of primary immunodeficiencies (2012-2017)
JF  - Frontiers in Immunology
N2  - Introduction: The German PID-NET registry was founded in 2009, serving as the first national registry of patients with primary immunodeficiencies (PID) in Germany. It is part of the European Society for Immunodeficiencies (ESID) registry. The primary purpose of the registry is to gather data on the epidemiology, diagnostic delay, diagnosis, and treatment of PIDs. 

Methods: Clinical and laboratory data was collected from 2,453 patients from 36 German PID centres in an online registry. Data was analysed with the software Stata® and Excel. 

Results: The minimum prevalence of PID in Germany is 2.72 per 100,000 inhabitants. Among patients aged 1-25, there was a clear predominance of males. The median age of living patients ranged between 7 and 40 years, depending on the respective PID. Predominantly antibody disorders were the most prevalent group with 57% of all 2,453 PID patients (including 728 CVID patients). A gene defect was identified in 36% of patients. Familial cases were observed in 21% of patients. The age of onset for presenting symptoms ranged from birth to late adulthood (range 0-88 years). Presenting symptoms comprised infections (74%) and immune dysregulation (22%). Ninety-three patients were diagnosed without prior clinical symptoms. Regarding the general and clinical diagnostic delay, no PID had undergone a slight decrease within the last decade. However, both, SCID and hyper IgE-syndrome showed a substantial improvement in shortening the time between onset of symptoms and genetic diagnosis. Regarding treatment, 49% of all patients received immunoglobulin G (IgG) substitution (70%-subcutaneous; 29%-intravenous; 1%-unknown). Three-hundred patients underwent at least one hematopoietic stem cell transplantation (HSCT). Five patients had gene therapy. 

Conclusion: The German PID-NET registry is a precious tool for physicians, researchers, the pharmaceutical industry, politicians, and ultimately the patients, for whom the outcomes will eventually lead to a more timely diagnosis and better treatment.
KW  - registry for primary immunodeficiency
KW  - primary immunodeficiency (PID)
KW  - German PID-NET registry
KW  - PID prevalence
KW  - European Society for Immunodeficiencies (ESID)
KW  - IgG substitution therapy
KW  - CVID
Y1  - 2019
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-226629
VL  - 10
ER  - 
TY  - JOUR
A1  - Rayner, Christopher
A1  - Coleman, Jonathan R. I.
A1  - Purves, Kirstin L.
A1  - Hodsoll, John
A1  - Goldsmith, Kimberley
A1  - Alpers, Georg W.
A1  - Andersson, Evelyn
A1  - Arolt, Volker
A1  - Boberg, Julia
A1  - Bögels, Susan
A1  - Creswell, Cathy
A1  - Cooper, Peter
A1  - Curtis, Charles
A1  - Deckert, Jürgen
A1  - Domschke, Katharina
A1  - El Alaoui, Samir
A1  - Fehm, Lydia
A1  - Fydrich, Thomas
A1  - Gerlach, Alexander L.
A1  - Grocholewski, Anja
A1  - Hahlweg, Kurt
A1  - Hamm, Alfons
A1  - Hedman, Erik
A1  - Heiervang, Einar R.
A1  - Hudson, Jennifer L.
A1  - Jöhren, Peter
A1  - Keers, Robert
A1  - Kircher, Tilo
A1  - Lang, Thomas
A1  - Lavebratt, Catharina
A1  - Lee, Sang-hyuck
A1  - Lester, Kathryn J.
A1  - Lindefors, Nils
A1  - Margraf, Jürgen
A1  - Nauta, Maaike
A1  - Pané-Farré, Christiane A.
A1  - Pauli, Paul
A1  - Rapee, Ronald M.
A1  - Reif, Andreas
A1  - Rief, Winfried
A1  - Roberts, Susanna
A1  - Schalling, Martin
A1  - Schneider, Silvia
A1  - Silverman, Wendy K.
A1  - Ströhle, Andreas
A1  - Teismann, Tobias
A1  - Thastum, Mikael
A1  - Wannemüller, Andre
A1  - Weber, Heike
A1  - Wittchen, Hans-Ulrich
A1  - Wolf, Christiane
A1  - Rück, Christian
A1  - Breen, Gerome
A1  - Eley, Thalia C.
T1  - A genome-wide association meta-analysis of prognostic outcomes following cognitive behavioural therapy in individuals with anxiety and depressive disorders
JF  - Translational Psychiatry
N2  - Major depressive disorder and the anxiety disorders are highly prevalent, disabling and moderately heritable. Depression and anxiety are also highly comorbid and have a strong genetic correlation (r(g) approximate to 1). Cognitive behavioural therapy is a leading evidence-based treatment but has variable outcomes. Currently, there are no strong predictors of outcome. Therapygenetics research aims to identify genetic predictors of prognosis following therapy. We performed genome-wide association meta-analyses of symptoms following cognitive behavioural therapy in adults with anxiety disorders (n = 972), adults with major depressive disorder (n = 832) and children with anxiety disorders (n = 920; meta-analysis n = 2724). We (h(SNP)(2)) and polygenic scoring was used to examine genetic associations between therapy outcomes and psychopathology, personality and estimated the variance in therapy outcomes that could be explained by common genetic variants learning. No single nucleotide polymorphisms were strongly associated with treatment outcomes. No significant estimate of h(SNP)(2) could be obtained, suggesting the heritability of therapy outcome is smaller than our analysis was powered to detect. Polygenic scoring failed to detect genetic overlap between therapy outcome and psychopathology, personality or learning. This study is the largest therapygenetics study to date. Results are consistent with previous, similarly powered genome-wide association studies of complex traits.
KW  - Human behaviour
KW  - Personalized medicine
KW  - Prognostic markers
KW  - Psychiatric disorders
Y1  - 2019
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-225048
VL  - 9
IS  - 150
ER  - 
TY  - JOUR
A1  - Gabriel, Katharina M. A.
A1  - Jírů-Hillmann, Steffi
A1  - Kraft, Peter
A1  - Selig, Udo
A1  - Rücker, Victoria
A1  - Mühler, Johannes
A1  - Dötter, Klaus
A1  - Keidel, Matthias
A1  - Soda, Hassan
A1  - Rascher, Alexandra
A1  - Schneider, Rolf
A1  - Pfau, Mathias
A1  - Hoffmann, Roy
A1  - Stenzel, Joachim
A1  - Benghebrid, Mohamed
A1  - Goebel, Tobias
A1  - Doerck, Sebastian
A1  - Kramer, Daniela
A1  - Haeusler, Karl Georg
A1  - Volkmann, Jens
A1  - Heuschmann, Peter U.
A1  - Fluri, Felix
T1  - Two years' experience of implementing a comprehensive telemedical stroke network comprising in mainly rural region: the Transregional Network for Stroke Intervention with Telemedicine (TRANSIT-Stroke)
JF  - BMC Neurology
N2  - Background 
Telemedicine improves the quality of acute stroke care in rural regions with limited access to specialized stroke care. We report the first 2 years' experience of implementing a comprehensive telemedical stroke network comprising all levels of stroke care in a defined region. 

Methods 
The TRANSIT-Stroke network covers a mainly rural region in north-western Bavaria (Germany). All hospitals providing acute stroke care in this region participate in TRANSIT-Stroke, including four hospitals with a supra-regional certified stroke unit (SU) care (level III), three of those providing teleconsultation to two hospitals with a regional certified SU (level II) and five hospitals without specialized SU care (level I). For a two-year-period (01/2015 to 12/2016), data of eight of these hospitals were available; 13 evidence-based quality indicators (QIs) related to processes during hospitalisation were evaluated quarterly and compared according to predefined target values between level-I- and level-II/III-hospitals. 

Results 
Overall, 7881 patients were included (mean age 74.6 years +/- 12.8; 48.4% female). In level-II/III-hospitals adherence of all QIs to predefined targets was high ab initio. In level-I-hospitals, three patterns of QI-development were observed: a) high adherence ab initio (31%), mainly in secondary stroke prevention; b) improvement over time (44%), predominantly related to stroke specific diagnosis and in-hospital organization; c) no clear time trends (25%). Overall, 10 out of 13 QIs reached predefined target values of quality of care at the end of the observation period. 

Conclusion 
The implementation of the comprehensive TRANSIT-Stroke network resulted in an improvement of quality of care in level-I-hospitals.
KW  - pilot project
KW  - care tempis
KW  - ischemic stroke
KW  - thrombolysis
KW  - areas
KW  - time
KW  - hospitals
KW  - mortality
KW  - outcomes
KW  - quality
Y1  - 2020
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-229214
VL  - 20
ER  - 
TY  - JOUR
A1  - Schoffer, Olaf
A1  - Schülein, Stefanie
A1  - Arand, Gerlinde
A1  - Arnholdt, Hans
A1  - Baaske, Dieter
A1  - Bargou, Ralf C.
A1  - Becker, Nikolaus
A1  - Beckmann, Matthias W.
A1  - Bodack, Yves
A1  - Böhme, Beatrix
A1  - Bozkurt, Tayfun
A1  - Breitsprecher, Regine
A1  - Buchali, Andre
A1  - Burger, Elke
A1  - Burger, Ulrike
A1  - Dommisch, Klaus
A1  - Elsner, Gudrun
A1  - Fernschild, Karin
A1  - Flintzer, Ulrike
A1  - Funke, Uwe
A1  - Gerken, Michael
A1  - Göbel, Hubert
A1  - Grobe, Norbert
A1  - Gumpp, Vera
A1  - Heinzerling, Lucie
A1  - Kempfer, Lana Raffaela
A1  - Kiani, Alexander
A1  - Klinkhammer-Schalke, Monika
A1  - Klöcking, Sabine
A1  - Kreibich, Ute
A1  - Knabner, Katrin
A1  - Kuhn, Peter
A1  - Lutze, Stine
A1  - Mäder, Uwe
A1  - Maisel, Tanja
A1  - Maschke, Jan
A1  - Middeke, Martin
A1  - Neubauer, Andreas
A1  - Niedostatek, Antje
A1  - Opazo-Saez, Anabelle
A1  - Peters, Christoph
A1  - Schell, Beatrice
A1  - Schenkirsch, Gerhard
A1  - Schmalenberg, Harald
A1  - Schmidt, Peter
A1  - Schneider, Constanze
A1  - Schubotz, Birgit
A1  - Seide, Anika
A1  - Strecker, Paul
A1  - Taubenheim, Sabine
A1  - Wackes, Matthias
A1  - Weiß, Steffen
A1  - Welke, Claudia
A1  - Werner, Carmen
A1  - Wittekind, Christian
A1  - Wulff, Jörg
A1  - Zettl, Heike
A1  - Klug, Stefanie J.
T1  - Tumour stage distribution and survival of malignant melanoma in Germany 2002-2011
JF  - BMC Cancer
N2  - Background

Over the past two decades, there has been a rising trend in malignant melanoma incidence worldwide. In 2008, Germany introduced a nationwide skin cancer screening program starting at age 35. The aims of this study were to analyse the distribution of malignant melanoma tumour stages over time, as well as demographic and regional differences in stage distribution and survival of melanoma patients.

Methods

Pooled data from 61 895 malignant melanoma patients diagnosed between 2002 and 2011 and documented in 28 German population-based and hospital-based clinical cancer registries were analysed using descriptive methods, joinpoint regression, logistic regression and relative survival.

Results

The number of annually documented cases increased by 53.2% between 2002 (N = 4 779) and 2011 (N = 7 320). There was a statistically significant continuous positive trend in the proportion of stage UICC I cases diagnosed between 2002 and 2011, compared to a negative trend for stage UICC II. No trends were found for stages UICC III and IV respectively. Age (OR 0.97, 95% CI 0.97–0.97), sex (OR 1.18, 95% CI 1.11–1.25), date of diagnosis (OR 1.05, 95% CI 1.04–1.06), ‘diagnosis during screening’ (OR 3.24, 95% CI 2.50–4.19) and place of residence (OR 1.23, 95% CI 1.16–1.30) had a statistically significant influence on the tumour stage at diagnosis. The overall 5-year relative survival for invasive cases was 83.4% (95% CI 82.8–83.9%).

Conclusions

No distinct changes in the distribution of malignant melanoma tumour stages among those aged 35 and older were seen that could be directly attributed to the introduction of skin cancer screening in 2008.
"
KW  - Malignant melanoma
KW  - TNM staging
KW  - Survival analysis
KW  - Skin cancer screening
KW  - Stage distribution
Y1  - 2016
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-164544
VL  - 16
IS  - 936
ER  - 
TY  - JOUR
A1  - Sommer, Kim K.
A1  - Amr, Ali
A1  - Bavendiek, Udo
A1  - Beierle, Felix
A1  - Brunecker, Peter
A1  - Dathe, Henning
A1  - Eils, Jürgen
A1  - Ertl, Maximilian
A1  - Fette, Georg
A1  - Gietzelt, Matthias
A1  - Heidecker, Bettina
A1  - Hellenkamp, Kristian
A1  - Heuschmann, Peter
A1  - Hoos, Jennifer D. E.
A1  - Kesztyüs, Tibor
A1  - Kerwagen, Fabian
A1  - Kindermann, Aljoscha
A1  - Krefting, Dagmar
A1  - Landmesser, Ulf
A1  - Marschollek, Michael
A1  - Meder, Benjamin
A1  - Merzweiler, Angela
A1  - Prasser, Fabian
A1  - Pryss, Rüdiger
A1  - Richter, Jendrik
A1  - Schneider, Philipp
A1  - Störk, Stefan
A1  - Dieterich, Christoph
T1  - Structured, harmonized, and interoperable integration of clinical routine data to compute heart failure risk scores
JF  - Life
N2  - Risk prediction in patients with heart failure (HF) is essential to improve the tailoring of preventive, diagnostic, and therapeutic strategies for the individual patient, and effectively use health care resources. Risk scores derived from controlled clinical studies can be used to calculate the risk of mortality and HF hospitalizations. However, these scores are poorly implemented into routine care, predominantly because their calculation requires considerable efforts in practice and necessary data often are not available in an interoperable format. In this work, we demonstrate the feasibility of a multi-site solution to derive and calculate two exemplary HF scores from clinical routine data (MAGGIC score with six continuous and eight categorical variables; Barcelona Bio-HF score with five continuous and six categorical variables). Within HiGHmed, a German Medical Informatics Initiative consortium, we implemented an interoperable solution, collecting a harmonized HF-phenotypic core data set (CDS) within the openEHR framework. Our approach minimizes the need for manual data entry by automatically retrieving data from primary systems. We show, across five participating medical centers, that the implemented structures to execute dedicated data queries, followed by harmonized data processing and score calculation, work well in practice. In summary, we demonstrated the feasibility of clinical routine data usage across multiple partner sites to compute HF risk scores. This solution can be extended to a large spectrum of applications in clinical care.
KW  - medical informatics initiative
KW  - HiGHmed
KW  - medical data integration center
KW  - clinical routine data
KW  - heart failure
KW  - risk prediction scores
KW  - semantic interoperability
KW  - openEHR
Y1  - 2022
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-275239
SN  - 2075-1729
VL  - 12
IS  - 5
ER  - 
TY  - JOUR
A1  - Arlt, Wiebke
A1  - Biehl, Michael
A1  - Taylor, Angela E.
A1  - Hahner, Stefanie
A1  - Libé, Rossella
A1  - Hughes, Beverly A.
A1  - Schneider, Petra
A1  - Smith, David J.
A1  - Stiekema, Han
A1  - Krone, Nils
A1  - Porfiri, Emilio
A1  - Opocher, Giuseppe
A1  - Bertherat, Jerôme
A1  - Mantero, Franco
A1  - Allolio, Bruno
A1  - Terzolo, Massimo
A1  - Nightingale, Peter
A1  - Shackleton, Cedric H. L.
A1  - Bertagna, Xavier
A1  - Fassnacht, Martin
A1  - Stewart, Paul M.
T1  - Urine Steroid Metabolomics as a Biomarker Tool for Detecting Malignancy in Adrenal Tumors
JF  - The Journal of Clinical Endocrinology & Metabolism
N2  - Context:
Adrenal tumors have a prevalence of around 2% in the general population. Adrenocortical carcinoma (ACC) is rare but accounts for 2–11% of incidentally discovered adrenal masses. Differentiating ACC from adrenocortical adenoma (ACA) represents a diagnostic challenge in patients with adrenal incidentalomas, with tumor size, imaging, and even histology all providing unsatisfactory predictive values.

Objective:
Here we developed a novel steroid metabolomic approach, mass spectrometry-based steroid profiling followed by machine learning analysis, and examined its diagnostic value for the detection of adrenal malignancy.

Design:
Quantification of 32 distinct adrenal derived steroids was carried out by gas chromatography/mass spectrometry in 24-h urine samples from 102 ACA patients (age range 19–84 yr) and 45 ACC patients (20–80 yr). Underlying diagnosis was ascertained by histology and metastasis in ACC and by clinical follow-up [median duration 52 (range 26–201) months] without evidence of metastasis in ACA. Steroid excretion data were subjected to generalized matrix learning vector quantization (GMLVQ) to identify the most discriminative steroids.

Results:
Steroid profiling revealed a pattern of predominantly immature, early-stage steroidogenesis in ACC. GMLVQ analysis identified a subset of nine steroids that performed best in differentiating ACA from ACC. Receiver-operating characteristics analysis of GMLVQ results demonstrated sensitivity = specificity = 90% (area under the curve = 0.97) employing all 32 steroids and sensitivity = specificity = 88% (area under the curve = 0.96) when using only the nine most differentiating markers.

Conclusions:
Urine steroid metabolomics is a novel, highly sensitive, and specific biomarker tool for discriminating benign from malignant adrenal tumors, with obvious promise for the diagnostic work-up of patients with adrenal incidentalomas.
KW  - adrenal cortex hormones
KW  - urine
KW  - adrenal cortex neoplasms
KW  - mass spectrometry
KW  - metabolomics
Y1  - 2011
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-154682
VL  - 96
IS  - 12
SP  - 3775
EP  - 3784
ER  - 
TY  - JOUR
A1  - Seydelmann, Nora
A1  - Liu, Dan
A1  - Krämer, Johannes
A1  - Drechsler, Christiane
A1  - Hu, Kai
A1  - Nordbeck, Peter
A1  - Schneider, Andreas
A1  - Störk, Stefan
A1  - Bijnens, Bart
A1  - Ertl, Georg
A1  - Wanner, Christoph
A1  - Weidemann, Frank
T1  - High-Sensitivity Troponin: A Clinical Blood Biomarker for Staging Cardiomyopathy in Fabry Disease
JF  - Journal of the American Heart Association
N2  - Background
High‐sensitivity troponin (hs‐TNT), a biomarker of myocardial damage, might be useful for assessing fibrosis in Fabry cardiomyopathy. We performed a prospective analysis of hs‐TNT as a biomarker for myocardial changes in Fabry patients and a retrospective longitudinal follow‐up study to assess longitudinal hs‐TNT changes relative to fibrosis and cardiomyopathy progression.

Methods and Results
For the prospective analysis, hs‐TNT from 75 consecutive patients with genetically confirmed Fabry disease was analyzed relative to typical Fabry‐associated echocardiographic findings and total myocardial fibrosis as measured by late gadolinium enhancement (LE) on magnetic resonance imaging. Longitudinal data (3.9±2.0 years), including hs‐TNT, LE, and echocardiographic findings from 58 Fabry patients, were retrospectively collected. Hs‐TNT level positively correlated with LE (linear correlation coefficient, 0.72; odds ratio, 32.81 [95% CI, 3.56–302.59]; P=0.002); patients with elevated baseline hs‐TNT (>14 ng/L) showed significantly increased LE (median: baseline, 1.9 [1.1–3.3] %; follow‐up, 3.2 [2.3–4.9] %; P<0.001) and slightly elevated hs‐TNT (baseline, 44.7 [30.1–65.3] ng/L; follow‐up, 49.1 [27.6–69.5] ng/L; P=0.116) during follow‐up. Left ventricular wall thickness and EF of patients with elevated hs‐TNT were decreased during follow‐up, indicating potential cardiomyopathy progression.

Conclusions
hs‐TNT is an accurate, easily accessible clinical blood biomarker for detecting replacement fibrosis in patients with Fabry disease and a qualified predictor of cardiomyopathy progression. Thus, hs‐TNT could be helpful for staging and follow‐up of Fabry patients.
KW  - biomarker
KW  - cardiomyopathy
KW  - fabry disease
KW  - myocardial fibrosis
KW  - troponin T
Y1  - 2016
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-165682
VL  - 5
IS  - e002839
ER  - 
TY  - JOUR
A1  - Magyar, Attila
A1  - Wagner, Martin
A1  - Thomas, Phillip
A1  - Malsch, Carolin
A1  - Schneider, Reinhard
A1  - Störk, Stefan
A1  - Heuschmann, Peter U
A1  - Leyh, Rainer G
A1  - Oezkur, Mehmet
T1  - HO-1 concentrations 24 hours after cardiac surgery are associated with the incidence of acute kidney injury: a prospective cohort study
JF  - International Journal of Nephrology and Renovascular Disease
N2  - Background: 
Acute kidney injury (AKI) is a serious complication after cardiac surgery that is associated with increased mortality and morbidity. Heme oxygenase-1 (HO-1) is an enzyme synthesized in renal tubular cells as one of the most intense responses to oxidant stress linked with protective, anti-inflammatory properties. Yet, it is unknown if serum HO-1 induction following cardiac surgical procedure involving cardiopulmonary bypass (CPB) is associated with incidence and severity of AKI.

Patients and methods: 
In the present study, we used data from a prospective cohort study of 150 adult cardiac surgical patients. HO-1 measurements were performed before, immediately after and 24 hours post-CPB. In univariate and multivariate analyses, the association between HO-1 and AKI was investigated.

Results: 
AKI with an incidence of 23.3% (35 patients) was not associated with an early elevation of HO-1 after CPB in all patients (P=0.88), whereas patients suffering from AKI developed a second burst of HO-1 24 hours after CBP. In patients without AKI, the HO-1 concentrations dropped to baseline values (P=0.031). Furthermore, early HO-1 induction was associated with CPB time (P=0.046), while the ones 24 hours later lost this association (P=0.219).

Conclusion: 
The association of the second HO-1 burst 24 hours after CBP might help to distinguish between the causality of AKI in patients undergoing CBP, thus helping to adapt patient stratification and management.
KW  - acute kidney injury
KW  - cardiac surgery
KW  - heme oxygenase-1
KW  - cardiopulmonary bypass
Y1  - 2019
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-177250
VL  - 12
ER  -