Search results for " classification"
showing 10 items of 1043 documents
Data from: The relevance of ecological status to ecosystem functions and services in a large boreal lake
2015
1. Environmental conventions aim to protect ecosystem structures and functions to provide goods and services for mankind. The degree of aquatic ecosystem naturalness, or ecological status as it is defined in the Water Framework Directive (WFD) of the European Union, is notionally linked to supplies of ecosystem services. In practice these links have rarely been documented or even investigated and, to justify conservation and management objectives based on the status indicators, it is essential to demonstrate their relationships to ecosystem functions and services. 2. The WFD requires member states to classify their surface waters aiming to achieve good ecological status of water bodies. How…
Impact of grouping patients by 2017 GOLD strategy assessment criteria: a post hoc analysis of the TONADO and OTEMTO trials
2017
Introduction: Compared to the 2014 scheme, the 2017 GOLD COPD strategy uses only symptoms and exacerbation history to group patients, and no longer gives reference to the severity of airflow limitation. Aims: This post hoc analysis of TONADO and OTEMTO data aims to determine the impact of updated assessment criteria on patient classification and characteristics within these groups. Methods: TONADO (NCT01431274/NCT01431287; N=5162) and OTEMTO (NCT01964352/NCT02006732; N=1621) Phase III trials investigated efficacy and safety of tiotropium+olodatorol fixed-dose combination in COPD patients. In this analysis, patients were classed as GOLD A–D by the 2017 or 2014 criteria. In TONADO the mMRC Dy…
What should be the patient's preference regarding the choice of hospital in the case of radical cystectomy? Evaluation of early complications…
2016
Jens Mani,1 Stefan Vallo,1 Maximilian P Brandt,1 Kilian M Gust,1 Claudia Bartsch,1 Johannes Daechert,1 Igor Tsaur,1 Georg Bartsch,2,* Axel Haferkamp1,* 1Department of Urology, Goethe University Hospital, Frankfurt am Main, 2Department of Urology, Johannes Gutenberg University Hospital Mainz, Mainz, Germany *These authors contributed equally to this work Purpose: This study compares early complications after cystectomy and urinary diversion (UD) stratified by the surgical focus and case load of two different department chairpersons in a single institution in two time periods. Creating clear data about complications that can affect the quality of life is an important tool for patient…
The Valencia consensus-based adaptation of the IASP complex regional pain syndrome diagnostic criteria
2021
Refereed/Peer-reviewed The new IASP diagnostic criteria for complex regional pain syndrome (CRPS) (aka “the Budapest Criteria”3; Table 1) have improved the diagnostic specificity for CRPS while maintaining good sensitivity. Internationally, these criteria are now in common use. The IASP CRPS Special Interest Group convened a workshop of CRPS experts in Valencia/Spain in September 2019 to review perceived ambiguities in the diagnostic text and issues identified in applying these criteria in both the research and clinical contexts. After this review, workshop attendees discussed and reached a consensus regarding adaptations to the diagnostic taxonomy text. This process resulted in pragmatic u…
Axial propeller flaps: A proposal for update of the "Tokyo consensus on propeller flaps".
2017
LETTER TO EDITOR
Stroke Care Within the COVID-19 Pandemic—Increasing Awareness of Transient and Mild Stroke Symptoms Needed
2020
Background: The COVID-19 pandemic might affect health care resources and alter patient admission to hospital in case of stroke or transient ischemic attack (TIA). We aim to determine whether the COVID-19 pandemic is affecting utilization of recanalization procedures and numbers of patients with stroke and TIA admitted to a primary care stroke center.Methods: In this retrospective observational study, we compared patients admitted from January 2019 until February 2020 with patients admitted during the COVID-19 pandemic (March/April 2020) in Germany. We included patients with stroke (hemorrhagic or ischemic) or TIA as classified by International Statistical Classification of Diseases and Rela…
Differentiating hypochondriasis from panic disorder
2003
Hypochondriasis and panic disorder are both characterized by prevalent health anxieties and illness beliefs. Therefore, the question as to whether they represent distinct nosological entities has been raised. This study examines how clinical characteristics can be used to differentiate both disorders, taking the possibility of mixed symptomatologies (comorbidity) into account. We compared 46 patients with hypochondriasis, 45 with panic disorder, and 21 with comorbid hypochondriasis plus panic disorder. While panic patients had more comorbidity with agoraphobia, hypochondriasis was more closely associated with somatization. Patients with panic disorder were less pathological than hypochondri…
Predictors of self-reported heart failure - results from the Gutenberg Health study
2013
A Classification System for Decision-Making in the Management of Patients with Chronic Conditions
2021
Patients with chronic diseases are frequent users of healthcare services. The systematic use of stratification tools and predictive models for this group of patients can be useful for health professionals in decision-making processes. The aim of this study was to design two new classifier systems for detecting the risk of hospital admission for elderly patients with chronic conditions. In this retrospective cohort study, a set of variables related to hospital admission for patients with chronic conditions was obtained through focus groups, a health database analysis and statistical processing. To predict the probability of admission from the set of predictor variables, a logistic regression…
Editorial for the Special Issue “Frontiers in Spectral Imaging and 3D Technologies for Geospatial Solutions”
2019
This Special Issue hosts papers on the integrated use of spectral imaging and 3D technologies in remote sensing, including novel sensors, evolving machine learning technologies for data analysis, and the utilization of these technologies in a variety of geospatial applications. The presented results showed improved results when multimodal data was used in object analysis.