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958 Publications visible to you, out of a total of 958
Überwachung als Aufgabe des Informationsmanagements im Krankenhaus
Management of health information systems

Abstract

Not specified

Authors: U. Müller, Elske Ammenwerth, B. Brigl, S. Gräber, R. Gruetz, A. Häber, E. Kuhn, A. Kutscha, Pierre-Michael Meier, B. Wentz, Alfred Winter

Date Published: 2008

Publication Type: Journal article

Unerwünschte Arzneimittelreaktionen beim älteren Menschen: Erste Daten aus dem Leipziger Forschungszentrum für Zivilisationserkrankungen (LIFE)
Genetical Statistics and Systems Biology

Abstract (Expand)

BACKGROUND Few data exist on adverse drug reactions (ADR) in elderly people. In this group, pharmacotherapy represents a challenge with regard to comorbidities, drug interactions and compliance. OBJECTIVE …VE The aim of this article is to highlight the characteristics of ADR in elderly patients. METHODS In addition to a literature review we present the first data from the Leipzig Research Center for Civilization Diseases (LIFE). Between 2011 and 2015 a total of 9537 subjects aged 40-79 years were randomly included in this population-based, age and sex standardized investigation in the inhabitants of Leipzig, Germany and special emphasis was placed on allergies including questions with regard to ADR. RESULTS Of the 9537 subjects, data on allergies were available from 8979 subjects. Female gender, comorbidities and the use of multiple drugs were significantly associated with an increased risk of ADR. Women also reported ADR significantly more frequently than men. Of the subjects 22% reported suffering from some form of ADR as a result of medications, while in 2.3% this reaction had occurred within the previous 12 months. Less than 15% of LIFE patients with ADR were in possession of a document giving details of the ADR. DISCUSSION The occurrence of ADR significantly contributes to morbidity in elderly patients. For prevention of ADR knowledge of patient-related factors, underlying diseases, drug characteristics and drug interactions are necessary.

Authors: R. Treudler, F. Walther, P. Ahnert, J-C Simon

Date Published: 2017

Publication Type: Journal article

Universal Relation Assumptions in a modified RM/T Data Model
Management of health information systems

Abstract

Not specified

Authors: Alfred Winter, Reinhold Haux

Date Published: 1987

Publication Type: Misc

Unrealistic expectations for IR microspectroscopic imaging.
ProstataCA

Abstract

Not specified

Authors: J. Einenkel, W. Steller, U. D. Braumann, L. C. Horn, C. Krafft

Date Published: 11th Jan 2007

Publication Type: Not specified

Human Diseases: cervical cancer

Urine Biomarkers of Tubular Renal Cell Damage for the Prediction of Acute Kidney Injury After Cardiac Surgery-A Pilot Study
Genetical Statistics and Systems Biology

Abstract (Expand)

OBJECTIVE To evaluate the perioperative course of urine levels of the renal damage biomarkers tissue inhibitor of metalloproteinase 2 (TIMP-2) and insulin-like growth factor-binding protein 7 (IGFBP7) …) and to evaluate the predictive value of elevated TIMP-2 \times IGFBP7 concentrations to predict acute kidney injury (AKI) early after cardiac on-pump surgery. DESIGN Prospective, observational cohort study. SETTING University hospital. PARTICIPANTS The study comprised 110 consecutive patients undergoing elective cardiac surgery with cardiopulmonary bypass (CPB) between January and March 2014. INTERVENTIONS None. MEASUREMENTS AND MAIN RESULTS Urinary TIMP-2 \times IGFBP7 levels were quantified using a commercially available kit at the following measurement points: before surgery, 1 hour after starting CPB, 4 hours after weaning from CPB, and 24 hours after weaning from CPB (time points 1-4). Postoperative AKI was defined according to Kidney Disease Improving Global Outcomes criteria. AKI after cardiac surgery was diagnosed in 9 patients (8%). The perioperative course of TIMP-2 \times IGFBP7 was significantly different in patients with and without postoperative AKI (p \textless 0.001). TIMP-2 \times IGFBP7 levels were significantly higher in patients with AKI 1 hour after CPB start and 24 hours after weaning from CPB (p \textless 0.05). TIMP-2 \times IGFBP7 levels \textgreater0.40 (ng/mL)(2)/1,000 measured at 1 hour after starting CPB were found to be the optimal cut-off, with a sensitivity of 0.778 and a specificity of 0.641. The negative predictive value was 0.972. CONCLUSIONS Urine levels of TIMP-2 \times IGFBP7 are predictive for AKI at an early time point (1 hour after starting CPB). Renal damage biomarkers such as TIMP-2 and IGFBP7 might be recommended as a supplement to traditionally used criteria of AKI prediction.

Authors: Tanja Mayer, Daniel Bolliger, Markus Scholz, Oliver Reuthebuch, Michael Gregor, Patrick Meier, Martin Grapow, Manfred D. Seeberger, Jens Fassl

Date Published: 1st Dec 2017

Publication Type: Journal article

Use of Natural Language Processing for Precise Retrieval of Key Elements of Health IT Evaluation Studies
Management of health information systems

Abstract (Expand)

Having precise information about health IT evaluation studies is important for evidence-based decisions in medical informatics. In a former feasibility study, we used a faceted search based on ontological … modeling of key elements of studies to retrieve precisely described health IT evaluation studies. However, extracting the key elements manually for the modeling of the ontology was time and resource-intensive. We now aimed at applying natural language processing to substitute manual data extraction by automatic data extraction. Four methods (Named Entity Recognition, Bag-of-Words, Term-Frequency-Inverse-Document-Frequency, and Latent Dirichlet Allocation Topic Modeling were applied to 24 health IT evaluation studies. We evaluated which of these methods was best suited for extracting key elements of each study. As gold standard, we used results from manual extraction. As a result, Named Entity Recognition is promising but needs to be adapted to the existing study context. After the adaption, key elements of studies could be collected in a more feasible, time- and resource-saving way.

Authors: Verena Dornauer, Franziska Jahn, Konrad Hoeffner, Alfred Winter, Elske Ammenwerth

Date Published: 2020

Publication Type: Journal article

User Expectations of Metadata Repositories for Clinical Research
Evaluation Metadata Repository

Abstract (Expand)

Metadata Repositories (MDR) are databases for data elements that can be utilized in research as well as in medical care. These data elements are not the actual patient data (facts), but a complete … definition of the variables or characteristics used, including coding, unit of measurement, data type and other aspects. The aim of the project described here was to evaluate possible application scenarios for MDRs by a larger group of experts. The focus was not on specific software, but on the community's basic expectation of such a database of data elements. To achieve this goal, a questionnaire was designed that contained questions on general aspects of setting up a registry for data elements in biomedical research as well as more specific points with regard to necessary functionalities, desired contents, tools for community work and the quality of data elements. One of the main results was that the users attach more importance to the quality of the content than to the efficiency in implementing their documentation concepts. At the same time, they consider the effort involved in using existing software systems to be too much compared with the benefits and have concerns about the use of their designs by third parties.

Author: Matthias Löbe

Date Published: 9th May 2018

Publication Type: Misc

Using machine learning to estimate the calendar age based on autonomic cardiovascular function
SMITH - Smart Medical Information Technology for Healthcare

Abstract (Expand)

Introduction: Aging is accompanied by physiological changes in cardiovascular regulation that can be evaluated using a variety of metrics. In this study, we employ machine learning on autonomic … cardiovascular indices in order to estimate participants’ age. Methods: We analyzed a database including resting state electrocardiogram and continuous blood pressure recordings of healthy volunteers. A total of 884 data sets met the inclusion criteria. Data of 72 other participants with an BMI indicating obesity (>30 kg/m²) were withheld as an evaluation sample. For all participants, 29 different cardiovascular indices were calculated including heart rate variability, blood pressure variability, baroreflex function, pulse wave dynamics, and QT interval characteristics. Based on cardiovascular indices, sex and device, four different approaches were applied in order to estimate the calendar age of healthy subjects, i.e., relevance vector regression (RVR), Gaussian process regression (GPR), support vector regression (SVR), and linear regression (LR). To estimate age in the obese group, we drew normal-weight controls from the large sample to build a training set and a validation set that had an age distribution similar to the obesity test sample. Results: In a five-fold cross validation scheme, we found the GPR model to be suited best to estimate calendar age, with a correlation of r=0.81 and a mean absolute error of MAE=5.6 years. In men, the error (MAE=5.4 years) seemed to be lower than that in women (MAE=6.0 years). In comparison to normal-weight subjects, GPR and SVR significantly overestimated the age of obese participants compared with controls. The highest age gap indicated advanced cardiovascular aging by 5.7 years in obese participants. Discussion: In conclusion, machine learning can be used to estimate age on cardiovascular function in a healthy population when considering previous models of biological aging. The estimated age might serve as a comprehensive and readily interpretable marker of cardiovascular function. Whether it is a useful risk predictor should be investigated in future studies.

Authors: Andy Schumann, Christian Gaser, Rassoul Sabeghi, P Christian Schulze, Sven Festag, Cord Spreckelsen, Karl-Jürgen Bär

Date Published: 2022

Publication Type: Journal article

USP9X stabilizes XIAP to regulate mitotic cell death and chemoresistance in aggressive B-cell lymphoma.
GLA - German Lymphoma Alliance

Abstract (Expand)

The mitotic spindle assembly checkpoint (SAC) maintains genome stability and marks an important target for antineoplastic therapies. However, it has remained unclear how cells execute cell fate decisions … under conditions of SAC-induced mitotic arrest. Here, we identify USP9X as the mitotic deubiquitinase of the X-linked inhibitor of apoptosis protein (XIAP) and demonstrate that deubiquitylation and stabilization of XIAP by USP9X lead to increased resistance toward mitotic spindle poisons. We find that primary human aggressive B-cell lymphoma samples exhibit high USP9X expression that correlate with XIAP overexpression. We show that high USP9X/XIAP expression is associated with shorter event-free survival in patients treated with spindle poison-containing chemotherapy. Accordingly, aggressive B-cell lymphoma lines with USP9X and associated XIAP overexpression exhibit increased chemoresistance, reversed by specific inhibition of either USP9X or XIAP. Moreover, knockdown of USP9X or XIAP significantly delays lymphoma development and increases sensitivity to spindle poisons in a murine Emu-Myc lymphoma model. Together, we specify the USP9X-XIAP axis as a regulator of the mitotic cell fate decision and propose that USP9X and XIAP are potential prognostic biomarkers and therapeutic targets in aggressive B-cell lymphoma.

Authors: K. Engel, M. Rudelius, J. Slawska, L. Jacobs, B. Ahangarian Abhari, B. Altmann, J. Kurutz, A. Rathakrishnan, V. Fernandez-Saiz, A. Brunner, B. S. Targosz, F. Loewecke, C. J. Gloeckner, M. Ueffing, S. Fulda, M. Pfreundschuh, L. Trumper, W. Klapper, U. Keller, P. J. Jost, A. Rosenwald, C. Peschel, F. Bassermann

Date Published: 19th Jun 2016

Publication Type: Not specified

Human Diseases: B-cell lymphoma

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