Implementation of the New DGRh S2e Guideline on Diagnostics and Treatment of Adult-Onset Still’s Disease in Germany

Rhea Friedrich,Anna Kernder,Norbert Blank,Diana Ernst,Jörg Henes,Gernot Keyßer,Philipp Klemm,Martin Krusche,Anna Meinecke,Jürgen Rech,Nils Schulz,Dirk Schomburg,Stefan Vordenbäumen,Eugen Feist

Zeitschrift für Rheumatologie（2024）

Justus-Liebig-University Giessen

Cited 0|Views3

Abstract

Adult-onset Still’s disease (AOSD) is a rare autoinflammatory disease. Since it can lead to variable organ involvement, including life-threatening complications, and due to newly available therapeutic approaches, the German Society for Rheumatology and Clinical Immunology (Deutsche Gesellschaft für Rheumatologie und klinische Immunologie; DGRh) issued a newly developed S2e guideline in December 2022. This study aims to investigate the influence of the new guideline on the diagnosis, management, and outcomes of AOSD. Retrospective data from 168 patients diagnosed with AOSD between 2007 and 2023 (92 women and 76 men; average age 40.39 years) were captured at nine centers in Germany. Patient characteristics; results of laboratory, physical, and instrumental examinations; and therapeutic regimens were analyzed at three different timepoints. After publication of the German AOSD guideline, the time to diagnosis was shorter (mean before: 18.56 months, mean after: 1.29 months) and fewer complications were recorded, especially with respect to macrophage activation syndrome. Although therapeutic approaches did not change over time, treatment side effects were lower in the recent observation periods. Of note, more patients have been diagnosed with cardiac (19

Translated text

Key words

Autoinflammatory disease,Fever,Macrophage activation syndrome,Retrospective study,Arthritis,Autoinflammatorische Erkrankung,Fieber,Makrophagenaktivierungssyndrom,Retrospektive Studie,Arthritis

求助PDF

上传PDF

Bibtex

AI Read Science

AI Summary

AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.

Example

Background

Key content

Introduction

Methods

Results

Related work

Fund

Key content

Pretraining has recently greatly promoted the development of natural language processing (NLP)
We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance

Upload PDF to Generate Summary

Must-Reading Tree

Example

Generate MRT to find the research sequence of this paper

Data Disclaimer

The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn

Chat Paper

Summary is being generated by the instructions you defined