Definition and validation of a radiomics signature for loco-regional tumour control in patients with locally advanced head and neck squamous cell carcinoma

Purpose: To develop and validate a CT-based radiomics signature for the prognosis of loco-regional tumour control (LRC) in patients with locally advanced head and neck squamous cell carcinoma (HNSCC) treated by primary radiochemotherapy (RCTx) based on retrospective data from 6 partner sites of the German Cancer Consortium - Radiation Oncology Group (DKTK-ROG). Material and methods: Pre-treatment CT images of 318 patients with locally advanced HNSCC were col-lected. Four-hundred forty-six features were extracted from each primary tumour volume and then fil-tered through stability analysis and clustering. First, a baseline signature was developed from demographic and tumour-associated clinical parameters. This signature was then supplemented by CT imaging features. A final signature was derived using repeated 3-fold cross-validation on the discovery cohort. Performance in external validation was assessed by the concordance index (C-Index). Furthermore, calibration and patient stratification in groups with low and high risk for loco-regional recurrence were analysed. Results: For the clinical baseline signature, only the primary tumour volume was selected. The final sig-nature combined the tumour volume with two independent radiomics features. It achieved moderatel

The German National Registry of Primary Immunodeficiencies (2012-2017)

Introduction: The German PID-NET registry was founded in 2009, serving as the first national registry of patients with primary immunodeficiencies (PID) in Germany. It is part of the European Society for Immunodeficiencies (ESID) registry. The primary purpose of the registry is to gather data on the epidemiology, diagnostic delay, diagnosis, and treatment of PIDs. Methods: Clinical and laboratory data was collected from 2,453 patients from 36 German PID centres in an online registry. Data was analysed with the software Stata® and Excel. Results: The minimum prevalence of PID in Germany is 2.72 per 100,000 inhabitants. Among patients aged 1–25, there was a clear predominance of males. The median age of living patients ranged between 7 and 40 years, depending on the respective PID. Predominantly antibody disorders were the most prevalent group with 57% of all 2,453 PID patients (including 728 CVID patients). A gene defect was identified in 36% of patients. Familial cases were observed in 21% of patients. The age of onset for presenting symptoms ranged from birth to late adulthood (range 0–88 years). Presenting symptoms comprised infections (74%) and immune dysregulation (22%). Ninety-three patients were diagnosed without prior clinical symptoms. Regarding the general and clinical diagnostic delay, no PID had undergone a slight decrease within the last decade. However, both, SCID and hyper IgE- syndrome showed a substantial improvement in shortening the time between onset of symptoms and genetic diagnosis. Regarding treatment, 49% of all patients received immunoglobulin G (IgG) substitution (70%—subcutaneous; 29%—intravenous; 1%—unknown). Three-hundred patients underwent at least one hematopoietic stem cell transplantation (HSCT). Five patients had gene therapy. Conclusion: The German PID-NET registry is a precious tool for physicians, researchers, the pharmaceutical industry, politicians, and ultimately the patients, for whom the outcomes will eventually lead to a more timely diagnosis and better treatment

GrassPlot - a database of multi-scale plant diversity in Palaearctic grasslands

GrassPlot is a collaborative vegetation-plot database organised by the Eurasian Dry Grassland Group (EDGG) and listed in the Global Index of Vegetation-Plot Databases (GIVD ID EU-00-003). GrassPlot collects plot records (releves) from grasslands and other open habitats of the Palaearctic biogeographic realm. It focuses on precisely delimited plots of eight standard grain sizes (0.0001; 0.001;... 1,000 m(2)) and on nested-plot series with at least four different grain sizes. The usage of GrassPlot is regulated through Bylaws that intend to balance the interests of data contributors and data users. The current version (v. 1.00) contains data for approximately 170,000 plots of different sizes and 2,800 nested-plot series. The key components are richness data and metadata. However, most included datasets also encompass compositional data. About 14,000 plots have near-complete records of terricolous bryophytes and lichens in addition to vascular plants. At present, GrassPlot contains data from 36 countries throughout the Palaearctic, spread across elevational gradients and major grassland types. GrassPlot with its multi-scale and multi-taxon focus complements the larger international vegetationplot databases, such as the European Vegetation Archive (EVA) and the global database " sPlot". Its main aim is to facilitate studies on the scale-and taxon-dependency of biodiversity patterns and drivers along macroecological gradients. GrassPlot is a dynamic database and will expand through new data collection coordinated by the elected Governing Board. We invite researchers with suitable data to join GrassPlot. Researchers with project ideas addressable with GrassPlot data are welcome to submit proposals to the Governing Board

Dysregulation of Sleep Behavioral States in Narcolepsy

Study Objectives Patients with narcolepsy suffer from poor maintenance of wakefulness and fragmented night sleep, but the underlying mechanism of sleep boundary dysregulation remains little understood. The goal of this study was to quantify abnormal sleep-wake regulation in narcolepsy patients. Methods Using a model-based approach (state space analysis), we analyzed overnight EEG recordings in ten patients with narcolepsy type 1 and age- and gender-matched healthy control subjects. We analyzed consolidated sleep states using cluster analysis in state space and transitional sleep periods as trajectories between stable clusters. Results Patients with narcolepsy showed a dislocation of REM sleep in state space and overlap of REM and WAKE behavioral states. Narcolepsy patients had more trajectories between the REM and the WAKE clusters, and also between the NREM and WAKE clusters. Point density analysis showed more transitional periods between WAKE and REM in narcolepsy, less consolidated NREM sleep, and higher velocities between WAKE and NREM in patients. Conventional sleep analysis revealed increased NREM1 and decreased NREM2 sleep and reduced REM latency in narcolepsy patients. Conclusions This study provides further evidence for narcolepsy as a disorder of state boundaries including, but not limited to REM sleep and wakefulness. In particular, the increase in transitional periods between REM and WAKE, but also between NREM and WAKE indicates abnormal state dynamics in narcolepsy. This pattern may be a consequence of disrupted sleep/wake stabilizing mechanisms due to loss of hypocretin/orexin neurons in the hypothalamus

Bradysomnia in Parkinson's disease

OBJECTIVE: Polysomnography studies in Parkinson's disease (PD) patients show altered sleep microstructure with decreased level of arousability, indicating impaired sleep-wake dynamics in PD. The aim of this study was to investigate dynamical aspects of sleep EEG in PD as compared to healthy controls. METHODS: In this retrospective, controlled study, we applied a previously established mathematical model of sleep EEG analysis (state space model) to PD patients and age- and gender-matched healthy volunteers (N=64). Dynamical aspects of sleep were quantified by measuring the spectral variability of the sleep EEG (by means of state space velocity). RESULTS: State space analysis revealed preserved global sleep-wake architecture in PD patients, but the velocity of sleep stage transitions was significantly reduced as compared to healthy controls. Correlation analysis revealed a strong association of state space velocity with arousal scores and daily dopamine agonist intake. CONCLUSIONS: Quantitative analysis of spectral sleep EEG variability (state space velocity) revealed reduced sleep-wake dynamics in PD patients as compared to control subjects. SIGNIFICANCE: We propose state space velocity as an objective and quantitative measure for altered sleep microstructure and as a potential biomarker of sleep alterations in PD, not accessible by conventional sleep analysis

The impact of crowding on time until abdominal CT interpretation in emergency department patients with acute abdominal pain

OBJECTIVE: We assessed the relationship between emergency department (ED) crowding and delays in care in patients presenting with abdominal pain who receive abdominal computed tomography (CT). METHODS: Prospective cohort study of adults who presented over a 1-year period to 2 urban academic EDs with abdominal pain and received CT. Each subject had 3 validated crowding measures assigned at enrollment (ED census, waiting room number, number of admitted patients). These were normalized to quartiles to signify least to most crowded. The Cuzick test was used for trend and log-linear regression and tested the association between ED crowding and time from triage to CT read. The time interval was further decomposed into triage to room, room to CT order, and order to CT read times. The adjusted analysis controlled for age, sex, race, pain score, time of day, triage level, and site. RESULTS: 767 patients were enrolled (mean age, 44 +/- 17 years; 61% female; 60% black). Median time from triage to CT read was 375 minutes (interquartile range [IQR], 276-497). Individual time intervals included triage to room (46 minutes [IQR, 16-111]), room to CT order (83 minutes [IQR, 38-151]), and order to CT read (203 minutes [IQR, 138-375]). Across waiting room quartiles, triage to CT read was associated with progressively longer times (318 vs 364 vs 414 vs 445 minutes; P \u3c 0.001 for trend). Similar trends were noted for waiting room number and admitted patients (P \u3c 0.001). In multivariable analysis, the association between ED crowding and time from triage to CT read remained significant and consistent across all crowding measures (P \u3c 0.001). When decomposed into time intervals, triage to room time showed the greatest difference (22 vs 38 vs 72 vs 92 minutes; P \u3c 0.001). CONCLUSION: ED crowding is associated with an approximately 2-hour delay to CT interpretation availability. Attempts to reduce delays in abdominal CTs may include earlier provider evaluation and placement in the queue for scanning