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Hintergrund und Fragestellung: Nomogramme können durch individuelle Prognoseberechnungen Patienten helfen, Therapieentscheidungen zu treffen sowie ihre Gesundheitskompetenz durch ein besseres Krankheitsverständnis zu fördern. Nomogramme sind graphische Darstellungen von Regressionsgleichungen, mit denen sich verschiedene Endpunkte berechnen lassen. In der vorliegenden Arbeit sollen neben Hintergrundwissen zu Nomogrammen auch Gütekriterien für eine kritische Nutzung von Nomogrammen im klinischen Alltag sowie eine Übersicht empfehlenswerter Nomogramme vorgestellt werden.
Methode: Es fand eine systematische Literaturrecherche in der Datenbank Medline im Zeitraum von September 2014 bis Mai 2016 statt. Gesucht wurde auf englischer Sprache nach Nomogrammen in der Urologie anhand des Suchterms „Nomogram AND urology“. Einschlusskriterien für die Betrachtung waren vorhandener Abstract sowie englische oder deutsche Sprache. Die Bewertung der Nomogramme fand unter folgenden Gesichtspunkten statt: Fallzahl, Aktualität, Validierung, Gütekriterien sowie klinische Anwendung.
Ergebnis: Insgesamt hat die Literaturrecherche 311 Nomogramme in der Urologie zu verschiedenen Erkrankungen und Organsystemen identifizieren können. Für die Bereiche Urodynamik, Nebenniere, entzündliche Erkrankungen der Harnwege, Penis, Urolithiasis, Urothelkarzinome, Nierenkarzinome und Prostatakarzinome sind 122 extern validierte Nomogramme gefunden worden. Dabei wurde die fehlerhafte Nutzung des Nomogrammbegriffs deutlich, zumal Tabellen, Perzentilenkurven und Diagramme als solche beschrieben wurden. Hinsichtlich der Qualität der publizierten Modelle gibt es noch Verbesserungsbedarf. So sind viele publizierte Modelle nicht extern validiert oder nur einem Datensplitting unterzogen worden, was die Übertragbarkeit in fremde Populationen behindert. Weiterhin bestehen Mängel bei der Konzeption der Studien zur Nomogramm-Entwicklung, bei der Rekrutierung der Patienten und bei der Datenqualität.
Fazit: Die vorliegende Arbeit identifiziert die klinisch sinnvollsten und erprobten Nomogramme für den Einsatz in der Praxis (siehe Tabellen 1-9). Durch Fortschritte in Medizin und Technik können Nomogramme mit Hilfe von hochqualitativen Daten sowie einheitlicher Qualitätsstandards zur Entwicklung und Etablierung dieser in Zukunft einen wertvollen, klinisch sinnvollen Einsatz zur Verbesserung der Therapieentscheidung bei Patienten erfahren. Neue Biomarker, insbesondere auf Grundlage von Genomanalysen, sowie optimierte bildgebende Verfahren könnten zukünftig Bestandteil von Nomogrammen werden. Weiterhin sollte die Evaluation des klinischen Nutzens der Nomogramme sowie ein Vergleich der Modelle unter gleichen Bedingungen in Zukunft erfolgen, bevor diese im klinischen Alltag Anwendung finden.
Background: The management of intraductal papilloma without atypia (IDP) in breast needle biopsy remains controversial. This study investigates the upgrade rate of IDP to carcinoma and clinical and radiologic features predictive of an upgrade. Methods: Patients with a diagnosis of IDP on image-guided (mammography, ultrasound, magnetic resonance imaging) core needle or vacuum-assisted biopsy and surgical excision of this lesion at a certified breast center between 2007 and 2017 were included in this institutional review board-approved retrospective study. Appropriate statistical tests were performed to assess clinical and radiologic characteristics associated with an upgrade to malignancy at excision. Results: For 60 women with 62 surgically removed IDPs, the upgrade rate to malignancy was 16.1% (10 upgrades, 4 invasive ductal carcinoma, 6 ductal carcinoma in situ). IDPs with upgrade to carcinoma showed a significantly greater distance to the nipple (63.5 vs. 36.8 mm; p = 0.012). No significant associations were found between upgrade to carcinoma and age, menopausal status, lesion size, microcalcifications, BI-RADS descriptors, initial BI-RADS category, and biopsy modality. Conclusion: The upgrade rate at excision for IDPs diagnosed with needle biopsy was higher than expected according to some guideline recommendations. Observation only might not be appropriate for all patients with IDP, particularly for those with peripheral IDP.
White matter microstructural changes and episodic memory disturbances in late-onset bipolar disorder
(2018)
Background: Bipolar disorder (BD) has been associated with distributed network disruption, but little is known on how different clinical subtypes, particularly those with an earlier and later onset of disease, are related to connectivity changes in white matter (WM) tracts.
Methods: Diffusion tensor imaging (DTI) and volumetric measures were carried out in early-onset bipolar patients [(EOD) (n = 16)], late-onset bipolar disorder [(LOD)(n = 14)] and healthy controls (n = 32). We also computed ROI analysis of gray matter (GM) and white matter (WM) volumes using the regions with significant group differences in the DTI parameters. Cognitive and behavior measurements were analyzed between groups.
Results: Lower fraction of anisotropy (FA) in the right hemisphere comprising anterior thalamic radiation, fornix, posterior cingulate, internal capsule, splenium of corpus callosum was observed in the LOD in comparison with EOD; additionally, lower FA was also found in the LOD in comparison with healthy controls, mostly in the right hemisphere and comprising fibers of the splenium of the corpus callosum, cingulum, superior frontal gyrus and posterior thalamic radiation; LOD also showed worse episodic memory performance than EOD; no statistical significant differences between mood symptoms, WM and GM volumes were found between BD groups.
Conclusion: Even after correcting for age differences, LOD was associated with more extensive WM microstructural changes and worse episodic memory performance than EOD; these findings suggest that changes in the WM fiber integrity may be associated with a later presentation of BD, possibly due to mechanisms other than neuroprogression. However, these findings deserve replication in larger, prospective, studies.
The present study aimed to assess the tissue response to the SYMBIOS® resorbable collagen membrane SR, which is derived from bovine Achilles tendon, and compare it to the physiological wound healing of a sham operation as a control.
An ex vivo analysis was performed using injectable platelet-rich fibrin (i-PRF), that is gained by the centrifugation of human venous blood and contains fibrin, leukocytes and platelets, to elucidate the membrane permeability and interactions with human cells and plasma proteins. In the in vivo study, a subcutaneous implantation model was established in Wistar rats to evaluate the cellular reactions for up to 30 days after membrane implantation. Histochemical, immunohistochemical and histomorphometric analyses were performed to assess the cellular inflammatory response, vascularization pattern and cell infiltration capacity.
In the ex vivo study, i-PRF components including fibrin, leukocytes and platelets penetrated the membrane after just 15 minutes. Within the observation period, the cellular reaction in the early phase, which included the first 3 days, produced only mononuclear cells. From 10 to 30 days , the formation of multinucleated giant cells (MNGCs) was induced by the collagen membrane. CD-68 positive cells (macrophages) occurred in a high number on day 3, and the number decreased over time up to day 30. Along with the reduction in the number of CD-68 positive cells, the number of MNGCs increased significantly. The presence of MNGCs was accompanied by significantly increased vascularization within the central region of the membrane, and only mononuclear cells (MNCs) did not produce vascularization. In contrast, the accumulated MNGCs were located on the membrane surface. The control group reflected the physiological process of wound healing, as MNGCs did not form over the 30 day period, and a significantly lower level of vascularization was observed compared with the test group.
This finding showed dynamic changes in the cellular reaction, which indicated a relationship between macrophage fusion and MNGC formation, and vascularization of the collagen membrane is circumstantial evidence of a reaction to a foreign body. However, the collagen membrane was able to maintain its structure and integrity over time, showing no signs of premature breakdown and disintegration due to the specific porosity of its membrane structure.
Therefore, we questioned whether the biomaterial-induced formation of MNGCs should be accepted as a biomaterial-induced cellular reaction that is able to restore vascularization or as an adverse reaction. Therefore, extensive preclinical and clinical studies are needed to investigate the type of MNGCs that form in response to the membrane material studied here.
Die Tuberkulose ist eine der bedeutendsten Infektionskrankheiten weltweit. In Deutschland spielt sie eine untergeordnete Rolle und betrifft hauptsächlich Risikogruppen. Bisher wurde noch keine mehrere Jahre umfassende Arbeit zur Epidemiologie der Tuberkulose anhand molekularbiologischer Faktoren in einer deutschen Stadt veröffentlicht. In dieser Arbeit wurden mittels 24-loci MIRU-VNTR und Spoligotypisierung die Mykobakterienstämme von Patienten in Frankfurt am Main aus dem Zeitraum von 2008 bis 2016 genetisch typisiert und aus Fällen mit übereinstimmendem DNA-Fingerabdruck bestehende molekulare Cluster identifiziert, um in Zusammenschau mit epidemiologischen Patientendaten die Übertragungswege in Frankfurt am Main besser zu verstehen. Dabei wurden mittels logistischer Regression Risikofaktoren für Clusterzugehörigkeit identifiziert, einzelne Cluster auf epidemiologische Plausibilität hin untersucht und die Bedeutung der Tuberkulose vor dem Hintergrund zunehmender Migration beschrieben.
Insgesamt wurden im Studienzeitraum 61 molekulare Cluster identifiziert. Der Clusteranteil (28,6%) und der Anteil rezenter Übertragung (18,7%) lagen in der Größenordnung anderer Niedriginzidenzländer. Es dominierten kleine Cluster, nur vereinzelt kam es zu Infektionsketten mit mehr als 3 Fällen. Obwohl 81% der Patienten aus dem Ausland stammten und nur 19% aus Deutschland, hatten Migranten ein signifikant niedrigeres Risiko, einem Cluster anzugehören als Deutsche. Unter den Clustern bestanden 42,6% sowohl aus Patienten deutscher als auch Patienten nichtdeutscher Herkunft. Im Ausland geborene Patienten in gemischten Clustern lebten zum Diagnosezeitpunkt durchschnittlich bereits 10 Jahre in Deutschland und stammten mehrheitlich aus europäischen Ländern. Eine TB-Übertragung von kürzlich eingewanderten Patienten auf einheimische Bürger fand in begrenztem Umfang statt, begründet aber keine Ängste vor einer erhöhten Gefährdung der in Deutschland geborenen Bevölkerung im Hinblick auf die Tuberkulose in Frankfurt am Main.
Nur 9,8% der molekularen Cluster konnten epidemiologisch bestätigt werden. Infektionswege, die über das familiäre Umfeld oder bestimmte Risikomilieus (Drogen, Obdachlosigkeit) hinausgehen, ließen sich anamnestisch nur schwer erfassen. Männer, in Deutschland geborene Personen und iv-drogenabhängige Personen wiesen ein erhöhtes Risiko auf, sich vor Ort mit Tuberkulose zu infizieren oder die Erkrankung auf andere zu übertragen. Dies trifft vermutlich auch auf andere deutsche Großstädte zu und betont die Notwendigkeit einer Integration von iv-Drogenabhängigen in die medizinische Regelversorgung und die Bedeutung einer Zusammenarbeit von öffentlichem Gesundheitsdienst und entsprechenden Hilfseinrichtungen.
Es ist von einer Überschätzung des Clusteranteils mittels 24-loci MIRU-VNTR auszugehen, weshalb für zukünftige Arbeiten die feinere Typisierung und somit eine zuverlässigere Identifikation von Clustern mittels Whole Genome Sequencing wünschenswert ist. Für die bundesweite Verbesserung der TB-Kontrolle ist weiterhin eine enge Zusammenarbeit zwischen den Gesundheitsämtern erforderlich. Um zu untersuchen, wie sich die TB-Epidemiologie von Frankfurt am Main im bundesweiten Vergleich darstellt, sind ähnlich angelegte Arbeiten aus anderen deutschen Großstädten notwendig.
Background & Aims: Non-alcoholic fatty liver disease (NAFLD) and non-alcoholic steatohepatitis (NASH) are increasingly a cause of cirrhosis and hepatocellular carcinoma globally. This burden is expected to increase as epidemics of obesity, diabetes and metabolic syndrome continue to grow. The goal of this analysis was to use a Markov model to forecast NAFLD disease burden using currently available data.
Methods: A model was used to estimate NAFLD and NASH disease progression in eight countries based on data for adult prevalence of obesity and type 2 diabetes mellitus (DM). Published estimates and expert consensus were used to build and validate the model projections.
Results: If obesity and DM level off in the future, we project a modest growth in total NAFLD cases (0–30%), between 2016–2030, with the highest growth in China as a result of urbanization and the lowest growth in Japan as a result of a shrinking population. However, at the same time, NASH prevalence will increase 15–56%, while liver mortality and advanced liver disease will more than double as a result of an aging/increasing population.
Conclusions: NAFLD and NASH represent a large and growing public health problem and efforts to understand this epidemic and to mitigate the disease burden are needed. If obesity and DM continue to increase at current and historical rates, both NAFLD and NASH prevalence are expected to increase. Since both are reversible, public health campaigns to increase awareness and diagnosis, and to promote diet and exercise can help manage the growth in future disease burden.
Lay summary: Non-alcoholic fatty liver disease and non-alcoholic steatohepatitis can lead to advanced liver disease. Both conditions are becoming increasingly prevalent as the epidemics of obesity and diabetes continue to increase. A mathematical model was built to understand how the disease burden associated with non-alcoholic fatty liver disease and non-alcoholic steatohepatitis will change over time. Results suggest increasing cases of advanced liver disease and liver-related mortality in the coming years.
An ontology-based method for assessing batch effect adjustment approaches in heterogeneous datasets
(2018)
Motivation: International consortia such as the Genotype-Tissue Expression (GTEx) project, The Cancer Genome Atlas (TCGA) or the International Human Epigenetics Consortium (IHEC) have produced a wealth of genomic datasets with the goal of advancing our understanding of cell differentiation and disease mechanisms. However, utilizing all of these data effectively through integrative analysis is hampered by batch effects, large cell type heterogeneity and low replicate numbers. To study if batch effects across datasets can be observed and adjusted for, we analyze RNA-seq data of 215 samples from ENCODE, Roadmap, BLUEPRINT and DEEP as well as 1336 samples from GTEx and TCGA. While batch effects are a considerable issue, it is non-trivial to determine if batch adjustment leads to an improvement in data quality, especially in cases of low replicate numbers.
Results: We present a novel method for assessing the performance of batch effect adjustment methods on heterogeneous data. Our method borrows information from the Cell Ontology to establish if batch adjustment leads to a better agreement between observed pairwise similarity and similarity of cell types inferred from the ontology. A comparison of state-of-the art batch effect adjustment methods suggests that batch effects in heterogeneous datasets with low replicate numbers cannot be adequately adjusted. Better methods need to be developed, which can be assessed objectively in the framework presented here.
The formulation of the Partial Information Decomposition (PID) framework by Williams and Beer in 2010 attracted a significant amount of attention to the problem of defining redundant (or shared), unique and synergistic (or complementary) components of mutual information that a set of source variables provides about a target. This attention resulted in a number of measures proposed to capture these concepts, theoretical investigations into such measures, and applications to empirical data (in particular to datasets from neuroscience). In this Special Issue on “Information Decomposition of Target Effects from Multi-Source Interactions” at Entropy, we have gathered current work on such information decomposition approaches from many of the leading research groups in the field. We begin our editorial by providing the reader with a review of previous information decomposition research, including an overview of the variety of measures proposed, how they have been interpreted and applied to empirical investigations. We then introduce the articles included in the special issue one by one, providing a similar categorisation of these articles into: i. proposals of new measures; ii. theoretical investigations into properties and interpretations of such approaches, and iii. applications of these measures in empirical studies. We finish by providing an outlook on the future of the field.
Bruton’s tyrosine kinase (BTK) is a key regulator of the B-cell receptor signaling pathway, and aberrant B-cell receptor (BCR) signaling has been implicated in the survival of malignant B-cells. However, responses of the diffuse large B-cell lymphoma (DLBCL) to inhibitors of BTK (BTKi) are infrequent, highlighting the need to identify mechanisms of resistance to BTKi as well as predictive biomarkers. We investigated the response to the selective BTKi, tirabrutinib, in a panel of 64 hematopoietic cell lines. Notably, only six cell lines were found to be sensitive. Although activated B-cell type DLBCL cells were most sensitive amongst all cell types studied, sensitivity to BTKi did not correlate with the presence of activating mutations in the BCR pathway. To improve efficacy of tirabrutinib, we investigated combination strategies with 43 drugs inhibiting 34 targets in six DLBCL cell lines. Based on the results, an activated B-cell-like (ABC)-DLBCL cell line, TMD8, was the most sensitive cell line to those combinations, as well as tirabrutinib monotherapy. Furthermore, tirabrutinib in combination with idelalisib, palbociclib, or trametinib was more effective in TMD8 with acquired resistance to tirabrutinib than in the parental cells. These targeted agents might be usefully combined with tirabrutinib in the treatment of ABC-DLBCL.
Carbon tetrachloride (CCl4) is an efficient but highly toxic solvent, used in households and commercially in the industry under regulatory surveillance to ensure safety at the working place and to protect the workers’ health. However, acute unintentional or intentional intoxications by CCl4 may rarely occur and are potentially life-threatening. In this review article, therapy options are discussed that are based on a literature review of traditional poisoning cases and the clinical experience with 16 patients with acute poisoning by CCl4. Among various therapy options, the CO2-induced hyperventilation therapy will be considered in detail as the most promising approach. This special therapy was developed because only around 1% of the intoxicating CCl4 is responsible for the liver injury after conversion to toxic radicals via microsomal cytochrome P450 2E1 whereas 99% of the solvent will leave the body unchanged by exhalation. Therefore, to enhance CCl4 elimination through the lungs, CO2 is added to the inspiration air at a flow rate of 2–3 L min−1 in order to achieve hyperventilation with a respiratory volume of 25–30 L min−1. Under this therapy, the clinical course was favorable in 15/16 patients, corresponding to 93.8%. In essence, patients with acute CCl4 intoxication should be treated by forced ventilation.