Outcome Prediction of Postanoxic Coma:A Comparison of Automated Electroencephalography Analysis Methods

BACKGROUND: To compare three computer-assisted quantitative electroencephalography (EEG) prediction models for the outcome prediction of comatose patients after cardiac arrest regarding predictive performance and robustness to artifacts. METHODS: A total of 871 continuous EEGs recorded up to 3 days after cardiac arrest in intensive care units of five teaching hospitals in the Netherlands were retrospectively analyzed. Outcome at 6 months was dichotomized as "good" (Cerebral Performance Category 1-2) or "poor" (Cerebral Performance Category 3-5). Three prediction models were implemented: a logistic regression model using two quantitative features, a random forest model with nine features, and a deep learning model based on a convolutional neural network. Data from two centers were used for training and fivefold cross-validation (n = 663), and data from three other centers were used for external validation (n = 208). Model output was the probability of good outcome. Predictive performances were evaluated by using receiver operating characteristic analysis and the calculation of predictive values. Robustness to artifacts was evaluated by using an artifact rejection algorithm, manually added noise, and randomly flattened channels in the EEG. RESULTS: The deep learning network showed the best overall predictive performance. On the external test set, poor outcome could be predicted by the deep learning network at 24 h with a sensitivity of 54% (95% confidence interval [CI] 44-64%) at a false positive rate (FPR) of 0% (95% CI 0-2%), significantly higher than the logistic regression (sensitivity 33%, FPR 0%) and random forest models (sensitivity 13%, FPR, 0%) (p < 0.05). Good outcome at 12 h could be predicted by the deep learning network with a sensitivity of 78% (95% CI 52-100%) at a FPR of 12% (95% CI 0-24%) and by the logistic regression model with a sensitivity of 83% (95% CI 83-83%) at a FPR of 3% (95% CI 3-3%), both significantly higher than the random forest model (sensitivity 1%, FPR 0%) (p < 0.05). The results of the deep learning network were the least affected by the presence of artifacts, added white noise, and flat EEG channels. CONCLUSIONS: A deep learning model outperformed logistic regression and random forest models for reliable, robust, EEG-based outcome prediction of comatose patients after cardiac arrest

Impact of work arrangements during the COVID-19 pandemic on mental health in France

• Symptoms of anxiety/depression were found in 28.8% of the participants at least once. • Unemployment and financial difficulties were associated with anxiety/depression. • Targeted mental health support could lessen mental health impact

Global maps of soil temperature

Research in global change ecology relies heavily on global climatic grids derived from estimates of air temperature in open areas at around 2 m above the ground. These climatic grids do not reflect conditions below vegetation canopies and near the ground surface, where critical ecosystem functions occur and most terrestrial species reside. Here, we provide global maps of soil temperature and bioclimatic variables at a 1-km2 resolution for 0–5 and 5–15 cm soil depth. These maps were created by calculating the difference (i.e. offset) between in situ soil temperature measurements, based on time series from over 1200 1-km2 pixels (summarized from 8519 unique temperature sensors) across all the world\u27s major terrestrial biomes, and coarse-grained air temperature estimates from ERA5-Land (an atmospheric reanalysis by the European Centre for Medium-Range Weather Forecasts). We show that mean annual soil temperature differs markedly from the corresponding gridded air temperature, by up to 10°C (mean = 3.0 ± 2.1°C), with substantial variation across biomes and seasons. Over the year, soils in cold and/or dry biomes are substantially warmer (+3.6 ± 2.3°C) than gridded air temperature, whereas soils in warm and humid environments are on average slightly cooler (−0.7 ± 2.3°C). The observed substantial and biome-specific offsets emphasize that the projected impacts of climate and climate change on near-surface biodiversity and ecosystem functioning are inaccurately assessed when air rather than soil temperature is used, especially in cold environments. The global soil-related bioclimatic variables provided here are an important step forward for any application in ecology and related disciplines. Nevertheless, we highlight the need to fill remaining geographic gaps by collecting more in situ measurements of microclimate conditions to further enhance the spatiotemporal resolution of global soil temperature products for ecological applications

Global maps of soil temperature

Research in global change ecology relies heavily on global climatic grids derived from estimates of air temperature in open areas at around 2 m above the ground. These climatic grids do not reflect conditions below vegetation canopies and near the ground surface, where critical ecosystem functions occur and most terrestrial species reside. Here, we provide global maps of soil temperature and bioclimatic variables at a 1-km² resolution for 0–5 and 5–15 cm soil depth. These maps were created by calculating the difference (i.e., offset) between in-situ soil temperature measurements, based on time series from over 1200 1-km² pixels (summarized from 8500 unique temperature sensors) across all the world’s major terrestrial biomes, and coarse-grained air temperature estimates from ERA5-Land (an atmospheric reanalysis by the European Centre for Medium-Range Weather Forecasts). We show that mean annual soil temperature differs markedly from the corresponding gridded air temperature, by up to 10°C (mean = 3.0 ± 2.1°C), with substantial variation across biomes and seasons. Over the year, soils in cold and/or dry biomes are substantially warmer (+3.6 ± 2.3°C) than gridded air temperature, whereas soils in warm and humid environments are on average slightly cooler (-0.7 ± 2.3°C). The observed substantial and biome-specific offsets emphasize that the projected impacts of climate and climate change on near-surface biodiversity and ecosystem functioning are inaccurately assessed when air rather than soil temperature is used, especially in cold environments. The global soil-related bioclimatic variables provided here are an important step forward for any application in ecology and related disciplines. Nevertheless, we highlight the need to fill remaining geographic gaps by collecting more in-situ measurements of microclimate conditions to further enhance the spatiotemporal resolution of global soil temperature products for ecological applications

Global maps of soil temperature.

Research in global change ecology relies heavily on global climatic grids derived from estimates of air temperature in open areas at around 2 m above the ground. These climatic grids do not reflect conditions below vegetation canopies and near the ground surface, where critical ecosystem functions occur and most terrestrial species reside. Here, we provide global maps of soil temperature and bioclimatic variables at a 1-km2 resolution for 0-5 and 5-15 cm soil depth. These maps were created by calculating the difference (i.e. offset) between in situ soil temperature measurements, based on time series from over 1200 1-km2 pixels (summarized from 8519 unique temperature sensors) across all the world's major terrestrial biomes, and coarse-grained air temperature estimates from ERA5-Land (an atmospheric reanalysis by the European Centre for Medium-Range Weather Forecasts). We show that mean annual soil temperature differs markedly from the corresponding gridded air temperature, by up to 10°C (mean = 3.0 ± 2.1°C), with substantial variation across biomes and seasons. Over the year, soils in cold and/or dry biomes are substantially warmer (+3.6 ± 2.3°C) than gridded air temperature, whereas soils in warm and humid environments are on average slightly cooler (-0.7 ± 2.3°C). The observed substantial and biome-specific offsets emphasize that the projected impacts of climate and climate change on near-surface biodiversity and ecosystem functioning are inaccurately assessed when air rather than soil temperature is used, especially in cold environments. The global soil-related bioclimatic variables provided here are an important step forward for any application in ecology and related disciplines. Nevertheless, we highlight the need to fill remaining geographic gaps by collecting more in situ measurements of microclimate conditions to further enhance the spatiotemporal resolution of global soil temperature products for ecological applications

Discussions about treatment restrictions in chronic neurologic diseases A structured review

Objective: Many incurable neurologic diseases have predictable complications during their course or at their end stage. Timely discussions of potential treatment restrictions may improve the quality of treatment decisions toward the end of life. What is known about the actual practice of these discussions? Methods: We performed a literature search in MEDLINE, EMBASE, and CINAHL for empirical studies about discussions and decisions to restrict treatment in the course of 6 conditions: motor neuron disease (amyotrophic lateral sclerosis [ALS]), primary malignant brain tumors, multiple sclerosis, stroke, Parkinson disease, and dementia (Alzheimer disease). Results: In 10 of 43 studies, the actual practice of decision-making was studied; in the remaining 33, caregivers were interviewed about this practice. Three scenarios were described: 1) acute devastating disease (severe stroke); 2) stable severe neurologic deficit with complications (post-stroke brain damage); and 3) chronic progressive disease with complications (dementia and ALS). We found no studies concerning the other conditions. In all 3 scenarios, discussions and decisions seemed to be mostly triggered by the occurrence of life-threatening situations, either caused by the disease itself (1), or complications (2 and 3, including many patients with ALS). Some ALS studies showed that timely discussion of treatment options improved end-of-life decision-making. Conclusions: The actual practice of discussions about treatment restrictions in chronic neurologic disease has hardly been studied. The currently available empirical data suggest that discussions are mainly triggered by life-threatening situations, whereas anticipation of such situations may be beneficial for patients and their families. Neurology (R) 2012;78:590-59

The role of palliative care in chronic progressive neurological diseases-a survey amongst neurologists in the Netherlands

Background: Chronic progressive neurological diseases like high grade glioma (HGG), Parkinson's disease (PD), and multiple sclerosis (MS) are incurable, and associated with increasing disability including cognitive impairment, and reduced life expectancy. Patients with these diseases have complex care needs. Therefore, timely advance care planning (ACP) is required. Our aim was to investigate timing and content of discussions on treatment restrictions, i.e., to initiate, withhold, or withdraw treatment in patients with HGG, PD, and MS, from the neurologists' perspective. Methods: We performed a national online survey amongst consultants in neurology and residents in The Netherlands. The questionnaire focused on their daily practice concerning timing and content of discussions on treatment restrictions with patients suffering from HGG, PD or MS. We also inquired about education and training in discussing these issues. Results: A total of 125 respondents [89 neurologists (71%), 62% male, with a median age of 44 years, and 36 residents (29%), 31% male with a median age of 29 years] responded. Initial discussions on treatment restrictions were said to take place during the first year after diagnosis in 28% of patients with HGG, and commonly no earlier than in the terminal phase in patients with PD and MS. In all conditions, significant cognitive decline was the most important trigger to advance discussions, followed by physical decline, and initiation of the terminal phase. Most discussed issues included ventilation, resuscitation, and admission to the intensive care unit. More than half of the consultants in neurology and residents felt that they needed (more) education and training in having discussions on treatment restrictions. Conclusion: In patients with HGG discussions on treatment restrictions are initiated earlier than in patients with PD or MS. However, in all three diseases these discussions usually take place when significant physical and cognitive decline has become apparent and commonly mark the initiation of end-of-life care. More than half of the responding consultants in neurology and residents feel the need for improvement of their skills in performing these discussions

Advance care planning in progressive neurological diseases: Lessons from ALS

Background: There is increasing awareness of the need for an integrated palliative care approach in chronic progressive neurological diseases. Advance care planning (ACP) is an integral part of this approach. As a systematically organized and ongoing communication process about patients' values, goals and preferences regarding medical care during serious and chronic illness, ACP aims to involve patients in decision-making before they become cognitively and communicatively incapable. However, it remains underutilized in daily neurological practice except for speciality clinics such as ALS centers. Our aim was to study ACP in the tertiary ALS center Amsterdam and to investigate patients' reflections on it. Subsequently we used this knowledge to formulate recommendations for integration of ACP in the care of patients with other chronic progressive neurological diseases. Methods: Non-participating observations of all appointments of patients with amyotrophic lateral sclerosis (ALS) or progressive muscular atrophy (PMA) with the treating physician, in various stages of disease, during 6 consecutive months, followed by single in-depth interviews, and an inductive analysis. Results: Twenty-eight Dutch patients participated, varying in age, gender, disease onset and severity of physical decline. ACP started directly when the diagnosis was given, by means of a general outlook on the future with progressive disability and immediate introduction to a customized multidisciplinary team. During follow-up ACP was realized by regular appointments in which monitoring of the patient's status and clear communication strategies formed the basis of tailor-made discussions on treatment options. Patients accepted this policy as careful professional guidance. Conclusions: ACP is a professional communication process throughout the whole course of progressive disease. It is feasible to integrate ACP into follow-up of patients with ALS and PMA from diagnosis onwards. Supported by recent literature, we argue that such a well-structured approach would also enhance the quality of care and life of patients with other chronic progressive neurological diseases

Experiences and reflections of patients with motor neuron disease on breaking the news in a two-tiered appointment: a qualitative study

Breaking bad news should be fine-tuned to the individual patient, contain intelligible information, include emotional support and offer a tailor-made treatment plan. To achieve this goal in motor neuron disease (MND), neurologists of the amyotrophic lateral sclerosis (ALS) centre Amsterdam deliver the message on 2 separate visits within 14 days. To evaluate how patients with MND react to and view disclosure of the diagnosis, in this 2-tiered approach. Non-participating observations and in-depth interviews with patients were conducted in 1 tertiary ALS referral centre. Qualitative analysis consisted of inductive analysis of observation reports and verbatim typed out interviews. 10 2-tiered appointments were observed and 21 Dutch patients with MND interviewed. They experienced the straightforward message to be suffering from a fatal disease as devastating, yet unavoidable. The prospect of a short-term second appointment offered structure for the period immediately following the diagnosis. The time between appointments provided the opportunity for a first reorientation on their changed perspective on their life. The second appointment allowed for detailed discussions about various aspects of MND and a tailor-made treatment plan. The 2-tiered approach fits well with the way in which Dutch patients with MND process the disclosure of their diagnosis, gather information and handle the changed perspective on their life. It may serve as a model for other life-limiting disease