LIVIVO - Search results -

Search results

Result 1 - 10 of total 17

Search options

Article ; Online: Symptom diaries as a digital tool to detect SARS-CoV-2 infections and differentiate between prevalent variants.

Grüne, Barbara / Kugler, Sabine / Ginzel, Sebastian / Wolff, Anna / Buess, Michael / Kossow, Annelene / Küfer-Weiß, Annika / Rüping, Stefan / Neuhann, Florian

Frontiers in public health

2022 Volume 10, Page(s) 1030939

Abstract: The COVID-19 pandemic and the high numbers of infected individuals pose major challenges for public health departments. To overcome these challenges, the health department in Cologne has developed a software called DiKoMa. This software offers the ... ...

Abstract	The COVID-19 pandemic and the high numbers of infected individuals pose major challenges for public health departments. To overcome these challenges, the health department in Cologne has developed a software called DiKoMa. This software offers the possibility to track contact and index persons, but also provides a digital symptom diary. In this work, the question of whether these can also be used for diagnostic purposes will be investigated. Machine learning makes it possible to identify infections based on early symptom profiles and to distinguish between the predominant dominant variants. Focusing on the occurrence of the symptoms in the first week, a decision tree is trained for the differentiation between contact and index persons and the prevailing dominant variants (Wildtype, Alpha, Delta, and Omicron). The model is evaluated, using sex- and age-stratified cross-validation and validated by symptom profiles of the first 6 days. The variants achieve an AUC-ROC from 0.89 for Omicron and 0.6 for Alpha. No significant differences are observed for the results of the validation set (Alpha 0.63 and Omicron 0.87). The evaluation of symptom combinations using artificial intelligence can determine the individual risk for the presence of a COVID-19 infection, allows assignment to virus variants, and can contribute to the management of epidemics and pandemics on a national and international level. It can help to reduce the number of specific tests in times of low labor capacity and could help to early identify new virus variants.
MeSH term(s)	Humans ; Infant, Newborn ; COVID-19/diagnosis ; COVID-19/epidemiology ; Pandemics ; Artificial Intelligence ; SARS-CoV-2 ; Public Health
Language	English
Publishing date	2022-11-14
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2711781-9
ISSN	2296-2565 ; 2296-2565
ISSN (online)	2296-2565
ISSN	2296-2565
DOI	10.3389/fpubh.2022.1030939
Database	MEDical Literature Analysis and Retrieval System OnLINE

Order via subito

This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

Article ; Online: Die zeitlich-räumliche Verteilung von COVID-19 in Köln und beeinflussende soziale Faktoren im Zeitraum Februar 2020 bis Oktober 2021.

Neuhann, Florian / Ginzel, Sebastian / Buess, Michael / Wolff, Anna / Kugler, Sabine / Schlanstedt, Günter / Kossow, Annelene / Nießen, Johannes / Rüping, Stefan

Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz

2022 Volume 65, Issue 9, Page(s) 853–862

Abstract: Background and goals: Even in the early phase of the COVID-19 pandemic, which took a very different course globally, there were indications that socio-economic factors influenced the dynamics of disease spread, which from the second phase (September ... ...

Title translation	Spatio-temporal distribution of COVID-19 in Cologne and associated socio-economic factors in the period from February 2020 to October 2021.
Abstract	Background and goals: Even in the early phase of the COVID-19 pandemic, which took a very different course globally, there were indications that socio-economic factors influenced the dynamics of disease spread, which from the second phase (September 2020) onwards particularly affected people with a lower socio-economic status. Such effects can also be seen within a large city. The present study visualizes and examines the spatio-temporal spread of all COVID-19 cases reported in Cologne, Germany (February 2020-October 2021) at district level and their possible association with socio-economic factors. Methods: Pseudonymized data of all COVID-19 cases reported in Cologne were geo-coded and their distribution was mapped in an age-standardized way at district level over four periods and compared with the distribution of social factors. The possible influence of the selected factors was also examined in a regression analysis in a model with case growth rates. Results: The small-scale local infection process changed during the pandemic. Neighborhoods with weaker socio-economic indices showed higher incidence over a large part of the pandemic course, with a positive correlation between poverty risk factors and age-standardized incidence. The strength of this correlation changed over time. Conclusion: The timely observation and analysis of the local spread dynamics reveals the positive correlation of disadvantaging socio-economic factors on the incidence rate of COVID-19 at the level of a large city and can help steer local containment measures in a targeted manner.
MeSH term(s)	COVID-19/epidemiology ; Economic Factors ; Germany/epidemiology ; Humans ; Pandemics ; Risk Factors ; Socioeconomic Factors
Language	German
Publishing date	2022-08-03
Publishing country	Germany
Document type	Journal Article
ZDB-ID	1461973-8
ISSN	1437-1588 ; 1436-9990
ISSN (online)	1437-1588
ISSN	1436-9990
DOI	10.1007/s00103-022-03573-4
Database	MEDical Literature Analysis and Retrieval System OnLINE

Full text online

Accessible to users with ZB MED library card

In stock of ZB MED Cologne/Königswinter

Un I Zs.525: Show issues

Location:
Je nach Verfügbarkeit (siehe Angabe bei Bestand)
bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
ab Jg. 2022: Lesesaal (EG)

Order via subito

Details ▾

Article ; Online: Light-diffractive patterning of Porphyridium purpureum.

Klotz, Moritz / Deuerling, Steffi / Kugler, Sabine / Zollfrank, Cordt / Van Opdenbosch, Daniel

Photochemical & photobiological sciences : Official journal of the European Photochemistry Association and the European Society for Photobiology

2020 Volume 19, Issue 4, Page(s) 515–523

Abstract: Light guidance is a convenient and versatile way to control the positions of phototactic microorganisms. However, the illumination strategies require adaption to the respective organism. We report on the generation of structures composed of the gliding ... ...

Abstract	Light guidance is a convenient and versatile way to control the positions of phototactic microorganisms. However, the illumination strategies require adaption to the respective organism. We report on the generation of structures composed of the gliding and exopolysaccharide-secreting algae Porphyridium purpureum via their photomovement. Light patterns from a two-dimensional computer-generated hologram were projected onto inoculated agar plates. The obtained pixelated algae patterns were evaluated with regard to the illuminated intensity, contrast and pixel size. Upper and lower thresholds for algae accumulation were determined, allowing to enhance future manipulation of phototactic microorganisms.
MeSH term(s)	Light ; Polysaccharides/chemistry ; Polysaccharides/metabolism ; Porphyridium/chemistry ; Porphyridium/metabolism
Chemical Substances	Polysaccharides
Language	English
Publishing date	2020-03-02
Publishing country	England
Document type	Journal Article
ZDB-ID	2072584-X
ISSN	1474-9092 ; 1474-905X
ISSN (online)	1474-9092
ISSN	1474-905X
DOI	10.1039/d0pp00014k
Database	MEDical Literature Analysis and Retrieval System OnLINE

Full text online

Accessible to users with ZB MED library card

Order via subito

Details ▾
- Full text online
- Order with fees

Article ; Online: POS0881 Specific AI-Generated Pattern of Tender Joints and Tenderness at Enthesial Sites are Predictive for Objective Detection of Musculoskeletal Inflammation in Psoriasis Patients

Köhm, Michaela / Pick, Annika / Kugler, Sabine / Mackay, Sina / Antweiler, Dario / Kratz, Hannah / Zerweck, Lukas / Rüping, Stefan / Behrens, Frank

2023

Abstract: 747 ... 748 ... Psoriasis (Pso) is one of the most common chronic inflammatory skin diseases in Europe. Psoriatic arthritis (PsA) is closely associated to Pso. Up to 30% of the Pso patients will develop PsA during skin disease course. Defined and validated ... ...

Abstract	747 748 Psoriasis (Pso) is one of the most common chronic inflammatory skin diseases in Europe. Psoriatic arthritis (PsA) is closely associated to Pso. Up to 30% of the Pso patients will develop PsA during skin disease course. Defined and validated approaches for early detection are still missing. Beside biomarkers from blood or imaging, clinical characteristics of the patients may be of value to detect PsA patients in the transition state early. To perform an AI-based cluster analysis in a cohort of Pso patients at-risk for development of PsA to assess clinical characteristics as markers for early PsA. 82 Supplement 1
Keywords	psoriasis arthritis ; clustering ; psoriasis ; dimension reduction ; DDC::600 Technik ; Medizin ; angewandte Wissenschaften
Language	English
Publishing date	2023-05-30
Publishing country	de
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

Full text online

Full text

Inter-library loan at ZB MED

Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

Audio / Video ; Online: Secukinumab treatment of psoriatic arthritis in real world

Mackay, Sina / Kugler, Sabine / Schulz, Daniel / Klippstein, Maximilian / Kiltz, Uta / Brandt-Jürgens, Jan / Gmeiner, Benjamin / Vodencarevic, Asmir / Peterlik, Daniel / Wendt, Guillaume / Behrens, Frank / Köhm, Michaela

Achievement of fast response results in effective and lasting treatment outcomes

2023

Abstract: Background: Individualized treatment strategies are of high importance in the treatment of patients with chronic immune-mediated diseases such as psoriatic arthritis (PsA). IL17 inhibition has demonstrated good efficacy on all manifestations of PsA but ... ...

Abstract	Background: Individualized treatment strategies are of high importance in the treatment of patients with chronic immune-mediated diseases such as psoriatic arthritis (PsA). IL17 inhibition has demonstrated good efficacy on all manifestations of PsA but in some patients a lack of efficacy can be observed. To analyze patient characteristics leading to treatment response patterns in PsA patients, data from the German non-interventional study “AQUILA” (Kiltz et al. 2019) was analyzed. Methods: The non-interventional study “AQUILA” includes, in addition to patients with axial spondyloarthritis, patients with active PsA. In the current analysis patients started treatment within a period of 4 weeks around their baseline visit (V1) and were followed-up over 52 weeks (V2-V6). Response in this cohort was defined as a combination of patient- (PsAID-12) and physician-derived (PhGA) assessments. Patients who reached a state of remission (PsAID-12 ≤ 1.4 and PhGA ≤ 1) or adequate improvement (20% improvement in PsAID-12 and PhGA compared to baseline) at any time during the study period were considered responders. A fast response was defined as reaching at least adequate improvement within the first 8 weeks of treatment (V2), all other responses were considered as late responses. Results: A cohort of 914 PsA patients was analyzed and divided into 3 subgroups (Table 1). Among fast responders, number of smokers was significantly lower (p=0.009) with a lower median BMI (p=0.004). Fast response was associated with a stronger and longer lasting therapy effect during further study course compared to late response: 50% response (p=0.003), remission state (p=0,019) and measurable response at week 52 (p=0.051) according to the definitions above were observed more often. Conclusion: Our results show that secukinumab is an effective biologic treatment in PsA patients. As with every available treatment option, its response is dependent on demographics and disease characteristics. The results underline the dependency of fast response on ...
Subject code	610 ; 616
Language	English
Publishing country	de
Document type	Audio / Video ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

Full text online

Full text

Inter-library loan at ZB MED

Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

Audio / Video ; Online: Secukinumab treatment of axial spondyloarthritis in real world

Kugler, Sabine / Mackay, Sina / Schulz, Daniel / Klippstein, Maximilian / Kiltz, Uta / Brandt-Jürgens, Jan / Gmeiner, Benjamin / Vodencarevic, Asmir / Peterlik, Daniel / Wendt, Guillaume / Behrens, Frank / Köhm, Michaela

Achievement of fast response results in effective treatment outcomes

2023

Abstract: Background: Individualized treatment strategies are of high importance in the treatment of patients with chronic immune-mediated diseases such as axial sponyloarthritis (axSpA) IL17 inhibition has demonstrated good efficacy on all manifestations of axSpA ...

Abstract	Background: Individualized treatment strategies are of high importance in the treatment of patients with chronic immune-mediated diseases such as axial sponyloarthritis (axSpA) IL17 inhibition has demonstrated good efficacy on all manifestations of axSpA but in some patients a lack of efficacy can be observed. To analyze patient characteristics leading to treatment response pattern in axSpA patients, data from the German non-interventional study “AQUILA” (Kiltz et al. 2019) was analyzed. Methods: “AQUILA” includes, in addition to patients with psoriatic arthritis, patients with active axSpA. In the current analysis, patients started treatment within a period of 4 weeks around their baseline visit (V1), and were followed-up over up to 52 weeks (V2-V6). Response in this cohort was defined as a combination of patient- (BASDAI) and physician-derived (PhGA) assessments. Patients who reached a state of remission (BASDAI ≤ 3 and PhGA ≤ 1) or adequate improvement (20% improvement in BASDAI and PhGA compared to baseline) at any time during the study period were considered responders. A fast response was defined as reaching at least adequate improvement within the first 8 weeks of treatment (V2), all other responses were considered as late responses. Results: A cohort of 358 axSpA patients was analyzed and divided into 3 subgroups (Table 1). Fast response was significantly associated with biological naivety (p=0.04) and stronger therapy effect during the further course of treatment with higher rates of 50% response (p=0.007) and remission state (p=0.03). Conclusion: Our results show that secukinumab is an effective biologic treatment in axSpA patients. As with every available treatment option, its response is dependent on demographics and disease characteristics. The results underline the dependency of fast response on clinical phenotype. Fast responders seem to benefit from both fast alleviation of symptoms and effective treatment outcomes.
Subject code	610
Language	English
Publishing country	de
Document type	Audio / Video ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

Full text online

Full text

Inter-library loan at ZB MED

Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

Conference proceedings ; Online: Assessing Differential Effects of DMARDs on Psoriasis Area and Severity Index and Patient Global Assessment in Subgroups of Patients with Active PsA Treated over 52-weeks with Secukinumab in a Non-Interventional Trial (AQUILA) Using a Multistage Clustering Approach

Köhm, Michaela / Klippstein, Maximilian / Kugler, Sabine / Mackay, Sina / Schulz, Daniel / Vodencarevic, Asmir / Wendt, Guillaume / Peterlik, Daniel / Behrens, Frank / Kiltz, Uta / Brandt-Juergens, Jan

2023

Abstract: Background/Purpose: Individualized treatment strategies are of high importance in the treatment of patients with active psoriatic arthritis (PsA), a heterogeneous immune-mediated disease. IL-17 inhibition has demonstrated efficacy in all domains of PsA. ... ...

Abstract	Background/Purpose: Individualized treatment strategies are of high importance in the treatment of patients with active psoriatic arthritis (PsA), a heterogeneous immune-mediated disease. IL-17 inhibition has demonstrated efficacy in all domains of PsA. Nevertheless, approx. 30% of patients will not achieve remission after initiation of therapy. Therefore, the identification of patient characteristics with a high impact on treatment response is important to guide treatment choice and its adjustments in clinical routine care to promote an improved outcome. An adapted machine learning approach (cluster analysis) was used to analyze baseline (BL) patient characteristics to detect clinical patterns of disease activity in PsA patients treated in a non-interventional trial with secukinumab (SEC). Methods: Data from 1257 patients from the German non-interventional study AQUILA with active PsA whose first SEC treatment occurred no more than 4 weeks prior to BL was analyzed. All patients were included irrespective of treatment response. We identified patient groups by applying an extended version of the machine learning method of hierarchical density-based clustering to the BL data, where features included patient and disease characteristics variables as well as standardized patient-reported outcomes (Table 1). Feature groups with high numbers of missing values were initially excluded, and subsequent clustering was performed to achieve stepwise integration of all features. At each step, an additional feature group was included in a re-clustering using a complete subset of subjects. This led to a further split of some of the original clusters. For every final cluster, disease activity over the course of the study was visualized including patient and physician-derived assessments. Results: The machine learning approach resulted in the categorization of 14 different clusters of patients and outliers (n=391, cluster -1) (Fig. 1). The focus is directed towards two medically relevant clusters that differ primarily in their ...
Keywords	Psoriasis Arthritis ; Rheumatologie ; Clustering ; Machine Learning ; Missing Values ; Bioinformatics ; Biomarkers ; Clinical Trial
Subject code	616
Language	English
Publishing country	de
Document type	Conference proceedings ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

Full text online

Full text

Inter-library loan at ZB MED

Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

Audio / Video ; Online: Sex-Dependent Differences in Disease Characteristics do not Influence Effectiveness of Secukinumab Therapy in Patients with Active Axial Spondyloarthritis in a Non-Interventional Trial (AQUILA)

2023

Abstract: Background/Purpose: Individualized treatment strategies are of high importance in the treatment of patients with axial spondyloarthritis (axSpA). IL-17A inhibition has demonstrated good efficacy on axSpA. Nevertheless, approx. 30% of the patient will not ...

Abstract	Background/Purpose: Individualized treatment strategies are of high importance in the treatment of patients with axial spondyloarthritis (axSpA). IL-17A inhibition has demonstrated good efficacy on axSpA. Nevertheless, approx. 30% of the patient will not achieve remission after initiation of systemic therapy. Therefore, the identification of patient characteristics leading to higher response rates to bDMARD treatments are important to guide treatment choice and its adjustments in clinical routine care to promote an improved outcome. An adapted machine learning approach (cluster analysis) is used to analyze baseline (BL) patient characteristics to detect clinical patterns of disease activity in axSpA patients treated with secukinumab (SEC) in a non-interventional trial. Methods: Data from 621 patients enrolled in the German non-interventional AQUILA study with active axSpa, whose first SEC treatment occurred no more than 4 weeks prior to BL, was analyzed. All patients were included, irrespective of treatment response We identified patient groups by applying an extended version of the machine learning method of hierarchical density-based clustering (HDBSCAN) to BL data, where features included patient and disease characteristics variables as well as standardized patient-reported outcome (Table 1).Feature groups with high numbers of missing values were initially excluded, and subsequent clustering was performed to achieve the stepwise integration of all features. At each step, an additional feature group was included in a re-clustering using a complete subset of subjects. This led to a further split of some of the original clusters. For every final cluster, disease activity over the course of the study was visualized including patient and physician-derived assessments. Results: The machine learning approach resulted in the categorization of 7 clusters of patients and outliers (n=139, cluster -1)(Fig.1). The primary focus of this analysis lies on medially relevant clusters, which exhibit similar characteristics ...
Keywords	Rheumatology ; Axial Spondyloarthritis ; Clustering ; Missing Values ; Back Pain
Subject code	610
Language	English
Publishing date	2023-11-12
Publishing country	de
Document type	Audio / Video ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

Full text online

Full text

Inter-library loan at ZB MED

Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

Conference proceedings: Secukinumab treatment of psoriatic arthritis in real world: Achievement of fast response results in effective and lasting treatment outcomes

Klippstein, Maximilian / Köhm, Michaela / Mackay, Sina / Kugler, Sabine / Schulz, Daniel / Peterlik, Daniel / Brandt-Jürgens, Jan / Gmeiner, Benjamin / Vodencarevic, Asmir / Behrens, Frank / Kiltz, Uta / Wendt, Guillaume

2023 , Page(s) SpA.04

Event/congress	Deutscher Rheumatologiekongress 2023, 51. Kongress der Deutschen Gesellschaft für Rheumatologie (DGRh), 37. Jahrestagung der Deutschen Gesellschaft für Orthopädische Rheumatologie (DGORh), 33. Jahrestagung der Gesellschaft für Kinder- und Jugendrheumatologie (GKJR); Leipzig; ; Gesellschaft für Kinder- und Jugendrheumatologie; 2023
Keywords	Medizin, Gesundheit
Publishing date	2023-08-30
Publisher	German Medical Science GMS Publishing House; Düsseldorf
Document type	Conference proceedings
DOI	10.3205/23dgrh185
Database	German Medical Science

Inter-library loan at ZB MED

Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

Details ▾

Conference proceedings: Secukinumab treatment of axial spondyloarthritis in real world: Achievement of fast response results in effective treatment outcomes

Kugler, Sabine / Klippstein, Maximilian / Behrens, Frank / Kiltz, Uta / Brandt-Jürgens, Jan / Gmeiner, Benjamin / Vodencarevic, Asmir / Peterlik, Daniel / Mackay, Sina / Schulz, Daniel / Köhm, Michaela / Wendt, Guillaume

2023 , Page(s) SpA.43

Event/congress	Deutscher Rheumatologiekongress 2023, 51. Kongress der Deutschen Gesellschaft für Rheumatologie (DGRh), 37. Jahrestagung der Deutschen Gesellschaft für Orthopädische Rheumatologie (DGORh), 33. Jahrestagung der Gesellschaft für Kinder- und Jugendrheumatologie (GKJR); Leipzig; ; Gesellschaft für Kinder- und Jugendrheumatologie; 2023
Keywords	Medizin, Gesundheit
Publishing date	2023-08-30
Publisher	German Medical Science GMS Publishing House; Düsseldorf
Document type	Conference proceedings
DOI	10.3205/23dgrh201
Database	German Medical Science

Inter-library loan at ZB MED

Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

Details ▾

To top

More links

Kategorien

Order via subito

Full text online

More links

Kategorien

In stock of ZB MED Cologne/Königswinter

Order via subito

Full text online

More links

Kategorien

Order via subito

Full text online

More links

Kategorien

Inter-library loan at ZB MED

Full text online

More links

Kategorien

Inter-library loan at ZB MED

Full text online

More links

Kategorien

Inter-library loan at ZB MED

Full text online

More links

Kategorien

Inter-library loan at ZB MED

Full text online

More links

Kategorien

Inter-library loan at ZB MED

More links

Kategorien

Inter-library loan at ZB MED

More links

Kategorien

Inter-library loan at ZB MED