TY  - CHAP
A1  - Weinert, Franz E.
A1  - Schneider, Wolfgang
A1  - Asendorpf, Jens
A1  - Helmke, Andreas
A1  - Knopf, Monika
A1  - Kuhl, Julius
A1  - Nunner-Winkler, Gertrud
A1  - Strube, Gerhard
T1  - Entwicklung im Vorschulalter: Bericht über eine Längsschnittstudie
N2  - Dargestellt werden die theoretischen Ziele, das methodische Vorgehen und die ersten Ergebnisse einer Longitudinalstudie zur Genese individueller Kompetenzen (LOGIK) im Vorschulalter. Dabei geht es vor allem um generelle Merkmale und differentielle Verläufe bei der Entwicklung kognitiver, sozialer und motivationaler Kompetenzen.
KW  - Vorschulkind
KW  - Entwicklung
Y1  - 1988
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-86699
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  - Tegtmeyer, Nicole
A1  - Moodley, Yoshan
A1  - Yamaoka, Yoshio
A1  - Pernitzsch, Sandy Ramona
A1  - Schmidt, Vanessa
A1  - Traverso, Francisco Rivas
A1  - Schmidt, Thomas P.
A1  - Rad, Roland
A1  - Yeoh, Khay Guan
A1  - Bow, Ho
A1  - Torres, Javier
A1  - Gerhard, Markus
A1  - Schneider, Gisbert
A1  - Wessler, Silja
A1  - Backert, Steffen
T1  - Characterisation of worldwide Helicobacter pylori strains reveals genetic conservation and essentiality of serine protease HtrA
JF  - Molecular Microbiology
N2  - HtrA proteases and chaperones exhibit important roles in periplasmic protein quality control and stress responses. The genetic inactivation of htrA has been described for many bacterial pathogens. However, in some cases such as the gastric pathogen Helicobacter pylori, HtrA is secreted where it cleaves the tumour-suppressor E-cadherin interfering with gastric disease development, but the generation of htrA mutants is still lacking. Here, we show that the htrA gene locus is highly conserved in worldwide strains. HtrA presence was confirmed in 992 H.pylori isolates in gastric biopsy material from infected patients. Differential RNA-sequencing (dRNA-seq) indicated that htrA is encoded in an operon with two subsequent genes, HP1020 and HP1021. Genetic mutagenesis and complementation studies revealed that HP1020 and HP1021, but not htrA, can be mutated. In addition, we demonstrate that suppression of HtrA proteolytic activity with a newly developed inhibitor is sufficient to effectively kill H.pylori, but not other bacteria. We show that Helicobacter htrA is an essential bifunctional gene with crucial intracellular and extracellular functions. Thus, we describe here the first microbe in which htrA is an indispensable gene, a situation unique in the bacterial kingdom. HtrA can therefore be considered a promising new target for anti-bacterial therapy.
KW  - Helicobacter pylori
KW  - cag pathogenicity island
KW  - Differential RNA-sequencing
KW  - epithelial cells
KW  - campylobacter jejuni infection
Y1  - 2016
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-190774
VL  - 99
IS  - 5
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  - Magunia, Harry
A1  - Lederer, Simone
A1  - Verbuecheln, Raphael
A1  - Gilot, Bryant Joseph
A1  - Koeppen, Michael
A1  - Haeberle, Helene A.
A1  - Mirakaj, Valbona
A1  - Hofmann, Pascal
A1  - Marx, Gernot
A1  - Bickenbach, Johannes
A1  - Nohe, Boris
A1  - Lay, Michael
A1  - Spies, Claudia
A1  - Edel, Andreas
A1  - Schiefenhövel, Fridtjof
A1  - Rahmel, Tim
A1  - Putensen, Christian
A1  - Sellmann, Timur
A1  - Koch, Thea
A1  - Brandenburger, Timo
A1  - Kindgen-Milles, Detlef
A1  - Brenner, Thorsten
A1  - Berger, Marc
A1  - Zacharowski, Kai
A1  - Adam, Elisabeth
A1  - Posch, Matthias
A1  - Moerer, Onnen
A1  - Scheer, Christian S.
A1  - Sedding, Daniel
A1  - Weigand, Markus A.
A1  - Fichtner, Falk
A1  - Nau, Carla
A1  - Prätsch, Florian
A1  - Wiesmann, Thomas
A1  - Koch, Christian
A1  - Schneider, Gerhard
A1  - Lahmer, Tobias
A1  - Straub, Andreas
A1  - Meiser, Andreas
A1  - Weiss, Manfred
A1  - Jungwirth, Bettina
A1  - Wappler, Frank
A1  - Meybohm, Patrick
A1  - Herrmann, Johannes
A1  - Malek, Nisar
A1  - Kohlbacher, Oliver
A1  - Biergans, Stephanie
A1  - Rosenberger, Peter
T1  - Machine learning identifies ICU outcome predictors in a multicenter COVID-19 cohort
JF  - Critical Care
N2  - Background
Intensive Care Resources are heavily utilized during the COVID-19 pandemic. However, risk stratification and prediction of SARS-CoV-2 patient clinical outcomes upon ICU admission remain inadequate. This study aimed to develop a machine learning model, based on retrospective & prospective clinical data, to stratify patient risk and predict ICU survival and outcomes.

Methods
A Germany-wide electronic registry was established to pseudonymously collect admission, therapeutic and discharge information of SARS-CoV-2 ICU patients retrospectively and prospectively. Machine learning approaches were evaluated for the accuracy and interpretability of predictions. The Explainable Boosting Machine approach was selected as the most suitable method. Individual, non-linear shape functions for predictive parameters and parameter interactions are reported.

Results
1039 patients were included in the Explainable Boosting Machine model, 596 patients retrospectively collected, and 443 patients prospectively collected. The model for prediction of general ICU outcome was shown to be more reliable to predict “survival”. Age, inflammatory and thrombotic activity, and severity of ARDS at ICU admission were shown to be predictive of ICU survival. Patients’ age, pulmonary dysfunction and transfer from an external institution were predictors for ECMO therapy. The interaction of patient age with D-dimer levels on admission and creatinine levels with SOFA score without GCS were predictors for renal replacement therapy.

Conclusions
Using Explainable Boosting Machine analysis, we confirmed and weighed previously reported and identified novel predictors for outcome in critically ill COVID-19 patients. Using this strategy, predictive modeling of COVID-19 ICU patient outcomes can be performed overcoming the limitations of linear regression models.

Trial registration “ClinicalTrials” (clinicaltrials.gov) under NCT04455451.
KW  - COVID-19
KW  - critical care
KW  - ARDS
KW  - outcome
KW  - prognostic models
Y1  - 2021
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-306766
VL  - 25
ER  -