Performance of a GridPix detector based on the Timepix3 chip

A GridPix readout for a TPC based on the Timepix3 chip is developed for future applications at a linear collider. The GridPix detector consists of a gaseous drift volume read out by a single Timepix3 chip with an integrated amplification grid. Its performance is studied in a test beam with 2.5 GeV electrons. The GridPix detector detects single ionization electrons with high efficiency. The Timepix3 chip allowed for high sample rates and time walk corrections. Diffusion is found to be the dominating error on the track position measurement both in the pixel plane and in the drift direction, and systematic distortions in the pixel plane are below 10 $\mu$m. Using a truncated sum, an energy loss (dE/dx) resolution of 4.1% is found for an effective track length of 1 m.Comment: To be published in Nuclear Instruments and Methods in Physics Research Section

A prolonged ICU stay after interhospital transport?

Transport of critically ill patients can be complicated [1-3]. Barratt and colleagues studied patients transferred for nonclinical reasons to evaluate the consequences of transportation [4]. Th ere was no diff erence in mortality but the ICU length of stay (LOS) increased by 3  days, which was explained as a negative impact of the transport on patient physiology. We disagree with this conclusion. First, by including only transports to level 3 ICUs the received level of care for transported patients will increase, introducing a bias. Second, the increase in LOS can be interpreted as a result of selection bias, because patients with a short expected LOS would often not be considered eligible for transport. Also, since there was no increase in mortality, which would have been expected with an increased LOS, we might be looking at a mortality reduction as a result of the transfer to a higher-level ICU. Th ird, Barrett and colleagues suggest that deterioration of patient physiology during transport is probably respon sible for the increase in LOS. However, the reported Intensive Care National Audit and Research Centre scores before and after transport (although not validated for sequential patient assessments) do not support this assumption. Fourth, the method of transportation should have been included in this study. Specialised transport teams deliver patients with a better acute physiology compared with nonspecialised teams [2,5], making a need for regaining physiological stability unlikely. In conclusion, we congratulate Barratt and colleagues for their research. However, we think their conclusion is premature because multiple possible confounders were not taken into account

Контроль выбросов вспомогательных корпусов АЭС: состояние и пути совершенствования

Произведен анализ состояния системы контроля выбросов через вентиляционные системы СК АЭС с ВВЭР на примере Запорожской АЭС (ЗАЭС)

Quality of interhospital transport of the critically ill: impact of a Mobile Intensive Care Unit with a specialized retrieval team

Introduction: In order to minimize the additional risk of interhospital transport of critically ill patients, we started a mobile intensive care unit (MICU) with a specialized retrieval team, reaching out from our university hospital-based intensive care unit to our adherence region in March 2009. To evaluate the effects of this implementation, we performed a prospective audit comparing adverse events and patient stability during MICU transfers with our previous data on transfers performed by standard ambulance. Methods: All transfers performed by MICU from March 2009 until December 2009 were included. Data on 14 vital variables were collected at the moment of departure, arrival and 24 hours after admission. Variables before and after transfer were compared using the paired-sample T-test. Major deterioration was expressed as a variable beyond a predefined critical threshold and was analyzed using the McNemar test and the Wilcoxon Signed Ranks test. Results were compared to the data of our previous prospective study on interhospital transfer performed by ambulance. Results: A total of 74 interhospital transfers of ICU patients over a 10-month period were evaluated. An increase of total number of variables beyond critical threshold at arrival, indicating a worsening of condition, was found in 38 percent of patients. Thirty-two percent exhibited a decrease of one or more variables beyond critical threshold and 30% showed no difference. There was no correlation between patient status at arrival and the duration of transfer or severity of disease. ICU mortality was 28%. Systolic blood pressure, glucose and haemoglobin were significantly different at arrival compared to departure, although significant values for major deterioration were never reached. Compared to standard ambulance transfers of ICU patients, there were less adverse events: 12.5% vs. 34%, which in the current study were merely caused by technical (and not medical) problems. Although mean Acute Physiology and Chronic Health Evaluation II (APACHE II) score was significantly higher, patients transferred by MICU showed less deterioration in pulmonary parameters during transfer than patients transferred by standard ambulance. Conclusions: Transfer by MICU imposes less risk to critically ill patients compared to transfer performed by standard ambulance and has, therefore, resulted in an improved quality of interhospital transport of ICU patients in the north-eastern part of the Netherlands

Inter-hospital transport of critically ill patients; expect surprises

INTRODUCTION: Inter-hospital transport of critically ill patients is increasing. When performed by specialized retrieval teams there are less adverse events compared to transport by ambulance. These transports are performed with technical equipment also used in an Intensive Care Unit (ICU). As a consequence technical problems may arise and have to be dealt with on the road. In this study, all technical problems encountered while transporting patients with our mobile intensive care unit service (MICU) were evaluated. METHODS: From March 2009 until August 2011 all transports were reviewed for technical problems. The cause, solution and, where relevant, its influence on protocol were stated. RESULTS: In this period of 30 months, 353 patients were transported. In total 55 technical problems were encountered. We provide examples of how they influenced transport and how they may be resolved. CONCLUSION: The use of technical equipment is part of intensive care medicine. Wherever this kind of equipment is used, technical problems will occur. During inter-hospital transports, without extra personnel or technical assistance, the transport team is dependent on its own ability to resolve these problems. Therefore, we emphasize the importance of having some technical understanding of the equipment used and the importance of training to anticipate, prevent and resolve technical problems. Being an outstanding intensivist on the ICU does not necessarily mean being qualified for transporting the critically ill as well. Although these are lessons derived from inter-hospital transport, they may also apply to intra-hospital transport

Laser gas-discharge absorption measurements of the ratio of two transition rates in argon

The ratio of two line strengths at 922.7 nm and 978.7 nm of argon is measured in an argon pulsed discharge with the use of a single-mode Ti:Sapphire laser. The result 3.29(0.13) is in agreement with our theoretical prediction 3.23 and with a less accurate ratio 2.89(0.43) from the NIST database.Comment: 5 pages, 2 figures, 1 tabl

"The leading role of pathology in assessing the somatic molecular alterations of cancer:Position Paper of the European Society of Pathology": letter to the Editor

Contains fulltext : 232005.pdf (Publisher’s version ) (Open Access

Towards a feasible algorithm for tight glycaemic control in critically ill patients: a systematic review of the literature

INTRODUCTION: Tight glycaemic control is an important issue in the management of intensive care unit (ICU) patients. The glycaemic goals described by Van Den Berghe and colleagues in their landmark study of intensive insulin therapy appear difficult to achieve in a real life ICU setting. Most clinicians and nurses are concerned about a potentially increased frequency of severe hypoglycaemic episodes with more stringent glycaemic control. One of the steps we took before we implemented a glucose regulation protocol was to review published trials employing insulin/glucose algorithms in critically ill patients. METHODS: We conducted a search of the PubMed, Embase and Cochrane databases using the following terms: 'glucose', 'insulin', 'protocol', 'algorithm', 'nomogram', 'scheme', 'critically ill' and 'intensive care'. Our search was limited to clinical trials conducted in humans. The aim of the papers selected was required to be glycaemic control in critically ill patients; the blood glucose target was required to be 10 mmol/l or under (or use of a protocol that resulted in a mean blood glucose = 10 mmol/l). The studies were categorized according to patient type, desired range of blood glucose values, method of insulin administration, frequency of blood glucose control, time taken to achieve the desired range for glucose, proportion of patients with glucose in the desired range, mean blood glucose and frequency of hypoglycaemic episodes. RESULTS: A total of twenty-four reports satisfied our inclusion criteria. Most recent studies (nine) were conducted in an ICU; nine others were conducted in a perioperative setting and six were conducted in patients with acute myocardial infarction or stroke. Studies conducted before 2001 did not include normoglycaemia among their aims, which changed after publication of the study by Van Den Berghe and coworkers in 2001; glycaemic goals became tighter, with a target range between 4 and 8 mmol/l in most studies. CONCLUSION: Studies using a dynamic scale protocol combining a tight glucose target and the last two blood glucose values to determine the insulin infusion rate yielded the best results in terms of glycaemic control and reported low frequencies of hypoglycaemic episodes