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We present EXplosive TRAnsient Spectral Simulator (extrass), a newly developed code aimed at generating 3D spectra for supernovae in the nebular phase by using modern multidimensional explosion models as input. It is well established that supernovae are asymmetric by nature, and that the morphology is encoded in the line profiles during the nebular phase, months after the explosion. In this work, we use extrass to study one such simulation of a $3.3\, \mathrm{ M}_\odot$ He-core explosion ($M_\text{ejecta}=1.3\, M_\odot$, $E_\text{kin}=1.05\times 10^{51}\,$erg) modelled with the Prometheus-HotB code and evolved to the homologous phase. Our code calculates the energy deposition from the radioactive decay of 56Ni → 56Co → 56Fe and uses this to determine the Non-Local-Thermodynamic-Equilibrium temperature, excitation, and ionization structure across the nebula. From the physical condition solutions we generate the emissivities to construct spectra depending on viewing angles. Our results show large variations in the line profiles with viewing angles, as diagnosed by the first three moments of the line profiles; shifts, widths, and skewness. We compare line profiles from different elements, and study the morphology of line-of-sight slices that determine the flux at each part of a line profile. We find that excitation conditions can sometimes make the momentum vector of the ejecta emitting in the excited states significantly different from that of the bulk of the ejecta of the respective element, thus giving blueshifted lines for bulk receding material, and vice versa. We compare the 3.3 M⊙ He-core model to observations of the Type Ib supernova SN 2007Y.

Routine collection of electronic patient-reported outcomes (ePROs) can improve clinical care. However, a low response rate may counteract the benefits. To optimize adoption, the aim of this study was to investigate which patient factors and/or timing of the invitation predicted response to ePROs sent prior to consultations in patients with rheumatoid arthritis. We performed a retrospective database study with clinical data collected as part of usual care from the electronic medical records at Reade Amsterdam. The dataset comprised the email invitations to complete the ePRO sent prior to consultation. Multiple patient factors and factors defining the timing of the invitation were investigated if they predicted response to the ePRO through a multivariable logistic generalized estimating equation analysis. In total, 17.070 ePRO invitations were sent to 3194 patients (mean age 60 (SD 14), 74% female), of which 40% was completed. Patients between 55 and 73 years (OR 1.39, 95%CI 1.09–1.77) and with higher social economic status (SES) (OR 1.51, 95%CI 1.22–1.88) had significantly higher odds for completing the ePRO, while patients living in an urban area had lower odds (OR 0.69, 95% CI 0.62–0.76). In year 4 after implementation, the OR was increased to 3.69 (95% CI 2.91–4.90). The implementation of ePROs in daily clinical practice needs improvement since 40% of the ePROs sent prior to consultations were completed. Patients that had higher odds to report the next ePRO were between the age of 55–73, had a higher socio-economic status, and were residents in a rural area. The adoption of reporting the PRO increased over time, but the timing of the prompt did not predict response. Additional research is needed to understand ePRO completion, especially for patients with lower socio-economic status.

Objective The aim of this survey was to describe existing perioperative care standards and best practices in the Netherlands and Belgium. Design An online survey was followed up by an in-depth personal interview. The main outcomes were the existing standards of perioperative care for patients undergoing cardiac surgery. Setting The online survey and subsequent interviews were targeted to one representative in the intensive care unit (ICU), cardiac surgery, and anesthesiology department from each cardiac surgical center in the Netherlands and Belgium. Participants A representative intensive care physician, cardiac surgeon, and cardiac anesthesiologist. Interventions None. Measurements and Main Results The response rate was 60% (71% for the Netherlands, and 44% in Belgium). Agreement across centers was found for discontinuation of proton-pump inhibitors (80%) and avoiding intra- and postoperative (92%) nonsteroidal antiinflammatory drugs. Additionally, 98% of respondents stated that physiotherapy should be started immediately in the ICU. Major divergence was found for elements such as the discontinuation of angiotensin-converting enzyme inhibitors (55%) or the postoperative use of chest support vests (44%). Conclusions The authors demonstrated a wide range of different local protocols. Strategies differed among disciplines, hospitals, and countries. This emphasized the need for the implementation of a more universal protocol to further reduce variance and improve recovery practices. This nationwide survey was the first of its kind simultaneously studying best practices for cardiac surgery through the entire care pathway at the advent of Enhanced Recovery After Surgery (ERAS) Cardiac implementation. A multinational randomized controlled trial to test the implementation of an evidence-based ERAS Cardiac protocol is the next step to pave the way for further outcome improvements in this high-risk population.

ObjectivesSelf-monitoring and patient-initiated care (PIC) leads to fewer outpatient clinic visits in patients with established RA with low disease activity (LDA) while healthcare outcomes are similar. This study assesses the cost-effectiveness of PIC with self-monitoring.MethodsA 12-month randomized controlled trial was performed with 49 patients in the PIC with self-monitoring group (app-group) and 53 in usual care. The usual care group continued with preplanned visits. The app group had one planned follow-up visit after 12 months and monitored their RA disease activity in a smartphone app. Both groups could make additional appointments at liberty. We included adult RA patients with a disease duration of over 2 years, a disease activity score 28 (DAS28) below 3.2 that were stable on medication for at least 6 months. The effect measure, the DAS28, was measured at 12 months and healthcare resource usage and productivity losses were measured at 3, 6, 9 and 12 months.ResultsThere was no significant difference in mean change of DAS28 (-0.04 mean difference, 95% CI: -0.39, 0.30), nor a statistically significant difference in total costs (mean difference €514, 95% CI:-€266, €3690) in the app group compared with the usual care group. The probability that the app was cost-effective was 0.37 and 0.57 at a willingness-to-pay threshold of 0 and 50 000 €/point improvement DAS28, respectively.ConclusionAlthough rheumatic care costs were significantly lower in the app group, total costs and effects of PIC with self-monitoring were not different from usual care in RA patients with LDA.

In recent years, Berlin and its surrounding area has experienced multiple intensive precipitation events, which caused significant damage and severely impaired the local infrastructure. An extreme value analysis of the available station data could improve the understanding of such events and provide valuable information for risk assessments in the region. Additionally, results gathered from this analysis will serve as a reference for similar evaluations with the Central European Refined analysis (CER), a gridded dataset generated via dynamical downscaling of ERA5 data using the Weather Research and Forecasting model. In this study, we assess the spatiotemporal dynamics of extreme precipitation event days in Berlin and Brandenburg using a generalized Pareto distribution (GPD). Daily precipitation data of the last 30 years was extracted at 137 stations of the German Meteorological Service. The GPD at each station was fitted using a peak over threshold approach with a seasonal time-dependent threshold and scale parameter. For the resulting distribution, 2-, 10-, and 20-year return levels were calculated for each season. 20-year precipitation extremes showed a high regional variability with slightly higher values around Berlin reaching up to 130 mm d-1 in the summer. Return levels also tended to be higher in the northern parts of Berlin and Brandenburg during winter and in the south during spring., The 28th IUGG General Assembly (IUGG2023) (Berlin 2023)

Background and Objectives: Transfusion-associated circulatory overload (TACO) is the primary cause of transfusion-related mortality. Speed and volume of transfusion are major risk factors. The aim of this study was to investigate the interaction of red blood cell (RBC) transfusion speed and volume on the development of TACO. Materials and Methods: A validated model for TACO in anaemic Lewis rats with an acute myocardial infarction was used. The effect on pulmonary hydrostatic pressure of one, two or four units of packed RBCs transfused in either 30 or 60 min was evaluated (3.3–26.6 ml·kg −1·hr −1). Pulmonary capillary pressure was measured as left ventricular end-diastolic pressure (LVEDP). Cardiac stress biomarkers atrial natriuretic-peptide (ANP) and N-terminal pro-brain natriuretic peptide (NT-proBNP) were measured 1-h post-transfusion. Results: Thirty animals were included (n = 5 per group). Transfusion of RBCs increased LVEDP in a volume-dependent manner (ΔLVEDP [mmHg]: −0.95, +0.50, +6.26, p < 0.001). Fast transfusion increased overall ΔLVEDP by +3.5 mmHg and up to +11.8 mmHg in the four units' group (p = 0.016). Doubling transfusion speed increased ΔLVEDP more than doubling volume in the larger volume groups. No difference in ANP or NT-proBNP were seen in high transfusion volume or groups. Conclusion: Transfusion volume dose-dependently increased LVEDP, with speed of transfusion rapidly elevating LVEDP at higher transfusion volumes. ANP and NT-proBNP were not impacted by transfusion volume or speed in this model. TACO is seen as purely volume overload, however, this study emphasizes that limiting transfusion speed, as a modifiable risk factor, might aid in preventing TACO.

Background & aims: Early oral postoperative nutrition is a proven beneficial element of postoperative care, resulting in improvement in quality of life and a shorter hospital stay. Guidelines state that postoperative oral nutrition can safely be started within the first hours after surgery. However, oral nutrition is mainly investigated starting from postoperative day one (POD1). This pragmatic study assessed whether a food service in the Post Anaesthesia Care Unit (PACU) may reduce postoperative fasting times on postoperative day zero (POD0) early after surgery on this high care unit. The primary outcome was postoperative fasting time in the PACU. Secondary outcomes were postoperative patient experiences and nutritional tolerance. Methods: This pragmatic prospective before-after study, included adult patients with a planned overnight stay in the PACU, and without anticipated postoperative dietary restrictions. A food service was developed, allowing re-uptake of oral nutrition early after surgery, already at POD0. Postoperative fasting time in the PACU was defined as the duration of time between the moment of arrival at the PACU, until first postoperative intake or until 9 a.m. on POD1, when most patients were discharged to the surgical ward. Secondary outcomes such as postoperative patient experiences and nutritional tolerance were scored on POD0 at 8 p.m. and on POD1 at 8 a.m. Results: A total of 235 patients were included, 119 in the pre-implementation (control) and 116 in the post-implementation (intervention) group. Mean postoperative fasting time was reduced by a mean of 6.0 h (95% CI 4.8–7.4, p-value ≤ .001), from 17.5 h in controls to 11.5 h in the intervention group. In the intervention group, 45% of patients had nutritional intake on POD0 (8 p.m.), increasing to 80% of patients on POD1 (8 a.m.), compared to no intake at both time-points in the control group. In the intervention group, average patient satisfaction increased over time. Flatus frequency was higher in the intervention group on POD1 (45% vs. 22%, p-value ≤ .001), while postoperative nausea and/or vomiting, and usage of anti-emetic medication were not different between groups. Conclusions: In a heterogeneous group of adult post-surgical patients with a planned overnight stay in the PACU, implementation of a food service resulted in a significant and clinically relevant reduction of postoperative fasting time, and increased patient satisfaction without compromising nutritional tolerance. Registered at www.isrctn.org with study ID ISRCTN17976930.

Thoracic outlet syndrome is an uncommon and controversial syndrome. Three different diagnoses can be made based on the compressed structure, arterial TOS, venous TOS, and neurogenic TOS, though combinations do exist as well. Diagnosing NTOS is difficult since no specific objective diagnostic modalities exist. This has resulted in a lot of controversy in recent decades. NTOS remains a clinical diagnosis and is mostly diagnosed based on the exclusion of an extensive list of differential diagnoses. To guide the diagnosis and treatment of TOS, a group of experts published the reporting standards for TOS in 2016. However, a consensus was not reached regarding a blueprint for a daily care pathway in this document. Therefore, we constructed a care pathway based on the reporting standards for both the diagnosis and treatment of NTOS patients. This care pathway includes a multidisciplinary approach in which different diagnostic tests and additional imaging techniques are combined to diagnose NTOS or guide patients in their treatment for differential diagnoses. The aim of the present work is to discuss and explain the diagnostic part of this care pathway.

This paper presents a process design for catalytic nonoxidative natural gas conversion to olefins and aromatics, highlighting the opportunities and challenges concerning industrial implementation. The optimal reactor conditions are 5 bar and 1000 °C. Heat exchange over the reactor is challenging due to the high temperature and low gas pressure. Recovery of ethylene is economically unattractive due to the low ethylene concentration in the product stream, leading to a methane-to-aromatics process, recycling ethylene. Benzene is the most valuable product at an efficiency of 0.31 kgbenzene/kgmethane with hydrogen as a major valuable byproduct. Naphthalene, with a low value, is unfortunately the dominant product, at 0.52 kgnaphthalene/kgmethane. It is suggested to hydrocrack the naphthalene to more valuable BTX products in an additional downstream process. The process is calculated to result in a 107 $ profit per ton CH4.

In cardiac surgical patients it is a complex challenge to find the ideal balance between anticoagulation and hemostasis. Preoperative anemia and perioperative higher transfusion rates are related to increased morbidity and mortality. Patient blood management (PBM) is an evidence based patient specific individualized protocol used in the perioperative setting in order to reduce perioperative bleeding and transfusion rates and to improve patient outcomes. The three pillars of PBM in cardiac surgery consist of optimization of preoperative erythropoiesis and hemostasis, minimizing blood loss, and improving patient specific physiological reserves. This narrative review focuses on the challenges with special emphasis on PBM in the preoperative phase and intraoperative transfusion management and hemostasis in cardiac surgery patients. It is a “must” that PBM is a collaborative effort between anesthesiologists, surgeons, perfusionists, intensivists and transfusion laboratory teams. This review represents an up to date overview over “PBM in cardiac surgery patients”.

Deep neuromuscular blockade (NMB) can improve surgical conditions and possibly pain after low-risk laparoscopic surgery. We hypothesized that targeting a deep level of NMB by a continuous compared with an on-demand infusion of rocuronium could improve surgical conditions in patients undergoing thoraco-laparoscopic esophagectomy. In this single-centre, randomized-controlled, double-blind trial, patients received either a continuous infusion of rocuronium 0.6 mg·kg−1·hr−1 (intervention) or NaCl 0.9% (control). Both surgeon and anesthesiologist were blinded to group assignment and the train-of-four measurements. Open-label rocuronium was given if requested (i.e., on-demand) by the surgeon. At the end of surgery, sugammadex was given if necessary to reverse the NMB. The primary outcome was the quality of surgical conditions during the abdominal phase of the operation as measured by the surgical rating scale (SRS). Secondary outcomes included the thoracic SRS, number of on-demand boluses, intraoperative surgical events, pain scores (up to 12 hr postoperatively), and duration of surgery. The median [interquartile range] abdominal SRS was not different between the intervention (4 [4–5]) and control (4 [4–5]) groups (median difference, 0; 95% confidence interval, 0 to 0; P = 0.45). The thoracic SRS was 4 [4–4] in both groups (P = 0.23). The median number of rocuronium bolus requests was higher in the control group compared with the intervention group (3 [3–6] vs 1 [0–2], respectively; P 0.05), or duration of surgery (P = 0.95). Continuous rocuronium infusion did not improve surgical conditions when boluses of rocuronium were available on-demand. No major benefits in other outcomes were seen. EUDRACT (2014-002147-18); registered 19 May, 2014 and clinicaltrials.gov (NCT02320734); registered 18 December, 2014.

This paper proposes a method to control a soft-switching gallium-nitride (GaN) based half-bridge with a delta-sigma (ΔΣ) modulator at multi-megahertz switching frequencies. A GaN-based High Electron Mobility Transistor (HEMT) can be operated at very high switching frequencies. However operating at these switching frequencies can be challenging as pulse-width modulators have several drawbacks when requiring zero-voltage switching with a variable switching frequency. Therefore a ΔΣ-modulator is extended to support zero-voltage switching operation for the entire output range. Also a compensation scheme is implemented that reduces the output voltage distortion due to blanking time. As a result of the proposed ΔΣ modulation scheme, the switching frequency automatically varies to minimize the inductor current ripple. The proposed method is validated in simulation including system non-idealities. Additionally the converter switching frequency range and zero-voltage switching behavior of the half-bridge is analyzed. Results show an improvement up to 14dB in output voltage distortion compared to the same PWM modulated converter with a constant switching frequency. Besides, the PWM modulated converter is not continuously soft-switching and has unnecessarily large inductor current ripple especially at small modulation indices.

Background Intra-operative hypotension is associated with adverse postoperative outcomes. A machine-learning-derived algorithm developed to predict hypotension based on arterial blood pressure (ABP) waveforms significantly reduced intra-operative hypotension. The algorithm calculates the likelihood of hypotension occurring within minutes, expressed as the Hypotension Prediction Index (HPI) which ranges from 0 to 100. Currently, HPI is only available for patients monitored with invasive ABP, which is restricted to high-risk procedures and patients. In this study, the performance of HPI, employing noninvasive continuous ABP measurements, is assessed. Objectives The first aim was to compare the performance of the HPI algorithm, using noninvasive versus invasive ABP measurements, at a mathematically optimal HPI alarm threshold (Youden index). The second aim was to assess the performance of the algorithm using a HPI alarm threshold of 85 that is currently used in clinical trials. Hypotension was defined as a mean arterial pressure (MAP) below 65 mmHg for at least 1 min. The predictive performance of the algorithm at different HPI alarm thresholds (75 and 95) was studied. Design Observational cohort study. Setting Tertiary academic medical centre. Patients Five hundred and seven adult patients undergoing general surgery. Results The performance of the algorithm with invasive and noninvasive ABP input was similar. A HPI alarm threshold of 85 showed a median [IQR] time from alarm to hypotension of 2.7 [1.0 to 7.0] min with a sensitivity of 92.7 (95% confidence interval [CI], 91.2 to 94.3), specificity of 87.6 (95% CI, 86.2 to 89.0), positive predictive value of 79.9 (95% CI, 77.7 to 82.1) and negative predictive value of 95.8 (95% CI, 94.9 to 96.7). A HPI alarm threshold of 75 provided a lower positive predictive value but a prolonged time from prediction to actual hypotension. Conclusion This study demonstrated that the algorithm can be employed using continuous noninvasive ABP waveforms. This opens up the potential to predict and prevent hypotension in a larger patient population. Trial registration Clinical trials registration number NCT03533205.

Background: Intraoperative and postoperative hypotension are associated with morbidity and mortality. The Hypotension Prediction (HYPE) trial showed that the Hypotension Prediction Index (HPI) reduced the depth and duration of intraoperative hypotension (IOH), without excess use of intravenous fluid, vasopressor, and/or inotropic therapies. We hypothesised that intraoperative HPI-guided haemodynamic care would reduce the severity of postoperative hypotension in the PACU. Methods: This was a sub-study of the HYPE study, in which 60 adults undergoing elective noncardiac surgery were allocated randomly to intraoperative HPI-guided or standard haemodynamic care. Blood pressure was measured using a radial intra-arterial catheter, which was connected to a FloTracIQ sensor. Hypotension was defined as MAP

Background: Low central venous pressure (low-CVP) is the clinical standard for fluid therapy during major liver surgery. Although goal-directed fluid therapy (GDFT) has been associated with reduced morbidity and mortality in major abdominal surgery, concerns remain on blood loss when applying GDFT in liver surgery. This randomized trial compared outcomes of low-CVP and GDFT during major liver resections. Methods: In this surgeon- and patient-blinded RCT, patients undergoing major open liver resections (≥3 segments) were randomized between low-CVP (n = 20) or GDFT (n = 20). Primary outcome was intraoperative blood loss. Secondary outcomes included the quality of the surgical field (VAS scale 0 (worst)-100 (best)) and major morbidity (≥grade 3 Clavien-Dindo). Results: During surgery, CVP was 3 ± 2 mmHg in the low-CVP group vs. 7 ± 3 mmHg in the GDFT group (P < 0.001). Blood loss (1425 vs. 1275 mL; P = 0.640) and the rate of major morbidity (40% vs. 50%, P = 0.751), did not differ between low-CVP and GDFT, respectively. The quality of the surgical field was comparable between groups (low-CVP 83% vs. GDFT 80%, P = 0.955). Conclusion: In major open liver resections, GDFT was not associated with differences in intraoperative blood loss, major morbidity or quality of the surgical field, compared to low-CVP. Larger RCTs are needed to confirm this finding. Registration number: NTR5821 (www.trialregister.nl).

Supplemental Digital Content is available in the text., Objectives: Previous studies demonstrated that extensive fluid loading and consequently positive fluid balances during sepsis resuscitation are associated with adverse outcome. Yet, the association between fluid balance and mortality after reversal of shock, that is, during deresuscitation, is largely unappreciated. Our objective was to investigate the effects of fluid balance on mortality in the days after septic shock reversal. Design: Retrospective observational cohort study. Setting: ICUs of two university-affiliated hospitals in The Netherlands. Patients: Adult patients admitted with septic shock followed by shock reversal. Reversal of septic shock was defined based on Sepsis-3 criteria as the first day that serum lactate was less than or equal to 2 mmol/L without vasopressor requirement. Interventions: None. Measurements and Main Results: Reversal of septic shock occurred in 636 patients, of whom 20% died in the ICU. Mixed-effects logistic regression modeling, adjusted for possible confounders, showed that fluid balance in the days after reversal of septic shock (until discharge or death) was an independent predictor of ICU mortality: odds ratio 3.18 (1.90–5.32) per 10 mL/kg increase in daily fluid balance. Similar results were found for 30-day, 90-day, hospital, and 1-year mortality: odds ratios 2.09 (1.64–2.67); 1.79 (1.38–2.32); 1.70 (1.40–2.07); and 1.53 (1.17–2.01), respectively. Positive cumulative fluid balances vs. neutral or negative fluid balances on the final day in the ICU were associated with increased ICU, hospital, 30-day, and 90-day mortality: odds ratios 3.46 (2.29–5.23); 3.39 (2.35–4.9); 5.33 (3.51–8.08); and 3.57 (2.49–5.12), respectively. Using restricted cubic splines, we found a dose-response relationship between cumulative fluid balance after shock reversal and ICU mortality. Conclusions: A higher fluid balance in the days after septic shock reversal was associated with increased mortality. This stresses the importance of implementing restrictive and deresuscitative fluid management strategies after initial hemodynamic resuscitation. Prospective interventional studies are needed to confirm our results.

Business process models can be (re)constructed using event data recorded during the process’ execution. Similarly, event data can be used to verify conformance to prescribed behavior and to analyze and improve the underlying processes. However, not all events that are related to a process necessarily relate to its control-flow. Some events occur in the context of the process. In this work, we introduce the concept of context events to deal with these types of events. We show how distinguishing between contextual and control-flow events aids process discovery to obtain less complex process models. We demonstrate how visualizing context events on top of process models helps identify points in the process where context events occur often, aiding understanding. We analyze these benefits using two case studies involving real-life processes and event data.

BACKGROUND Several mobile apps that monitor symptoms of rheumatoid arthritis (RA) exist, but a recent systematic review indicated that high-quality apps are lacking. When patients self-monitor their own disease with patient-reported outcomes (PROs) and self-initiate care at the right moment, it may be possible to reduce the frequency of their clinic visits, which would reduce health care burden and costs. We developed an app, that is, the MijnReuma Reade app, for this purpose and performed 2 pilot tests with weekly self-monitoring. OBJECTIVE The primary objective of this study was to design, develop, and evaluate the usability, satisfaction, and usage of the MijnReuma Reade app—an app that allows patients with RA to monitor their own disease. The secondary objective was to review the patients’ perspectives on app usage and its intended purpose. METHODS This app was designed in collaboration with patients with RA, rheumatologists, and information technology experts. Two 1-month pilot studies were performed, after which satisfaction (0-10 scale), usability (system usability scale, 0-100), and usage (proportion of completed questionnaires) of this app were assessed. After the second pilot study, semistructured interviews were performed to determine patients’ perspectives and the promoters and barriers of app usage. RESULTS In the first and second pilot study, 42 and 27 patients were included, respectively. Overall, the patients were satisfied (medians, 8 and 7) and found the app usable (mean system usability scores, 76 and 71) in pilot studies 1 and 2, respectively. App usage declined over time in both the pilot studies; 61% (17/28) and 37% (10/27) of the patients who disclosed their usage statistics completed the final weekly questionnaire in pilot study 1 and pilot study 2, respectively. Approximately 81% (25/31) of the patients indicated they would like to skip hospital visits if the self-monitored disease activity is low. In the semistructured interviews, technical problems, internal resistance (respondent fatigue, the app reminded them of their disease), and a lack of symptoms were identified as barriers for usage. Patients reported that “experiencing more grip on their disease” and “improved communication with their physician” were promoters for usage. Patients reported that pain positively mediated usage, that is, more pain promoted and less pain discouraged app usage. CONCLUSIONS This study illustrates the feasibility of the MijnReuma Reade app that enables self-monitoring of the disease activity in patients with RA with the overarching aim to allocate clinical consultations according to need. Satisfaction with the app and usability of the app were found to be high; however, app usage declined over time. Patients acknowledged the potential of the app to self-monitor their own disease and would like to be able to skip clinic visits if the monitored disease activity is low. To evaluate this strategy, a randomized controlled trial is underway.

Background Mobile devices such as smartphones and tablets have surged in popularity in recent years, generating numerous possibilities for their use in health care as mobile health (mHealth) tools. One advantage of mHealth is that it can be provided asynchronously, signifying that health care providers and patients are not communicating in real time. The integration of asynchronous mHealth into daily clinical practice might therefore help to make health care more efficient for patients with rheumatoid arthritis (RA). The benefits have been reviewed in various medical conditions, such as diabetes and asthma, with promising results. However, to date, it is unclear what evidence exists for the use of asynchronous mHealth in the field of RA. Objective The objective of this study was to map the different asynchronous mHealth interventions tested in clinical trials in patients with RA and to summarize the effects of the interventions. Methods A systematic search of Pubmed, Scopus, Cochrane, and PsycINFO was performed following the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines. Studies were initially screened and later assessed by two independent researchers. Disagreements on inclusion or exclusion of studies were resolved by discussion. Results The literature search yielded 1752 abstracts. After deduplication and screening, 10 controlled intervention studies were included. All studies were assessed to be at risk for bias in at least one domain of the Cochrane risk-of-bias tool. In the 10 selected studies, 4 different types of mHealth interventions were used: SMS reminders (to increase medication adherence or physical activity; n=3), web apps (for disease monitoring and/or to provide medical information; n=5), smartphone apps (for disease monitoring; n=1), and pedometers (to increase and track steps; n=1). Measured outcomes varied widely between studies; improvements were seen in terms of medication compliance (SMS reminders), reaching rapid remission (web app), various domains of physical activity (pedometer, SMS reminders, and web apps), patient-physician interaction (web apps), and self-efficacy (smartphone app). Conclusions SMS reminders, web apps, smartphone apps, and pedometers have been evaluated in intervention studies in patients with RA. These interventions have been used to monitor patients or to support them in their health behavior. The use of asynchronous mHealth led to desirable outcomes in nearly all studies. However, since all studies were at risk of bias and methods used were very heterogeneous, high-quality research is warranted to corroborate these promising results.

BACKGROUND Mobile devices such as smartphones and tablets have surged in popularity in recent years, generating numerous possibilities for their use in health care as mobile health (mHealth) tools. One advantage of mHealth is that it can be provided asynchronously, signifying that health care providers and patients are not communicating in real time. The integration of asynchronous mHealth into daily clinical practice might therefore help to make health care more efficient for patients with rheumatoid arthritis (RA). The benefits have been reviewed in various medical conditions, such as diabetes and asthma, with promising results. However, to date, it is unclear what evidence exists for the use of asynchronous mHealth in the field of RA. OBJECTIVE The objective of this study was to map the different asynchronous mHealth interventions tested in clinical trials in patients with RA and to summarize the effects of the interventions. METHODS A systematic search of Pubmed, Scopus, Cochrane, and PsycINFO was performed following the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines. Studies were initially screened and later assessed by two independent researchers. Disagreements on inclusion or exclusion of studies were resolved by discussion. RESULTS The literature search yielded 1752 abstracts. After deduplication and screening, 10 controlled intervention studies were included. All studies were assessed to be at risk for bias in at least one domain of the Cochrane risk-of-bias tool. In the 10 selected studies, 4 different types of mHealth interventions were used: SMS reminders (to increase medication adherence or physical activity; n=3), web apps (for disease monitoring and/or to provide medical information; n=5), smartphone apps (for disease monitoring; n=1), and pedometers (to increase and track steps; n=1). Measured outcomes varied widely between studies; improvements were seen in terms of medication compliance (SMS reminders), reaching rapid remission (web app), various domains of physical activity (pedometer, SMS reminders, and web apps), patient-physician interaction (web apps), and self-efficacy (smartphone app). CONCLUSIONS SMS reminders, web apps, smartphone apps, and pedometers have been evaluated in intervention studies in patients with RA. These interventions have been used to monitor patients or to support them in their health behavior. The use of asynchronous mHealth led to desirable outcomes in nearly all studies. However, since all studies were at risk of bias and methods used were very heterogeneous, high-quality research is warranted to corroborate these promising results.

Background The objective of this study was to determine the incidence, risk factors, and outcome of transfusion-associated circulatory overload (TACO) in a cohort of mixed intensive care unit patients and to compare risk factors with those for cardiac overload in the absence of transfusion. Study design and methods In a retrospective cohort study, patients who developed TACO were compared using multivariate analysis of two control groups: patients without pulmonary deterioration who received transfusion and patients who developed circulatory overload in the absence of transfusion. Results TACO was diagnosed in 66 of 1140 patients who received transfusions (5.8%). A total of 585 control transfusion recipients and 76 control patients who developed circulatory overload also were identified. Risk factors were the referring specialties cardiology (odds ratio [OR], 13.6; 95% confidence interval [CI], 5.1-35.7; p ≤ 0.001) and cardiothoracic surgery (OR, 8.8; 95% CI, 3.7-20.7; p ≤ 0.001), history of cardiac failure (OR, 2.4; 95% CI, 1.2-4.6; p = 0.01), continuous veno-venous hemofiltration (OR, 3.2; 95% CI, 1.2-8.9; p = 0.03), and degree of positive fluid balance (OR, 1.15; 95% CI, 1.07-1.24; p ≤ 0.001), which was associated less with the onset of TACO compared with circulatory overload (OR, 0.89; 95% CI, 0.82-0.97; p = 0.005). Patients in the TACO group had a longer length of stay in the intensive care unit compared with the transfusion and circulatory overload controls groups (median, 7.2 vs. 4.3 vs. 4.4 days; p = 0.001 vs. p = 0.008). Conclusions The incidence of TACO is high in a mixed intensive care unit population. The risk factors identified for TACO are cardiac failure, renal failure, and degree of positive fluid balance. A positive fluid balance may be less essential in the onset of TACO than in the onset of circulatory overload in the absence of transfusion.

Background: Effective telemonitoring is possible through repetitive collection of electronic patient-reported outcome measures (ePROMs) in patients with chronic diseases. Low adherence to telemonitoring may have a negative impact on the effectiveness, but it is unknown which factors are associated with adherence to telemonitoring by ePROMs. The objective was to identify factors associated with adherence to telemonitoring by ePROMs in patients with chronic diseases. Methods: A systematic literature search was conducted in PubMed, Embase, PsycINFO and the Cochrane Library up to 8 June 2021. Eligibility criteria were: (1) interventional and cohort studies, (2) patients with a chronic disease, (3) repetitive ePROMs being used for telemonitoring, and (4) the study quantitatively investigating factors associated with adherence to telemonitoring by ePROMs. The Cochrane risk of bias tool and the risk of bias in nonrandomized studies of interventions were used to assess the risk of bias. An evidence synthesis was performed assigning to the results a strong, moderate, weak, inconclusive or an inconsistent level of evidence. Results: Five studies were included, one randomized controlled trial, two prospective uncontrolled studies and two retrospective cohort studies. A total of 15 factors potentially associated with adherence to telemonitoring by ePROMs were identified in the predominate studies of low quality. We found moderate-level evidence that sex is not associated with adherence. Some studies showed associations of the remaining factors with adherence, but the overall results were inconsistent or inconclusive. Conclusions: None of the 15 studied factors had conclusive evidence to be associated with adherence. Sex was, with moderate strength, not associated with adherence. The results were conflicting or indecisive, mainly due to the low number and low quality of studies. To optimize adherence to telemonitoring with ePROMs, mixed-method studies are needed.

Objectives This study aims at identifying factors that disciplines consider when diagnosing and reporting transfusion-associated circulatory overload ('TACO'). Background TACO is a clinical diagnosis based mainly on subjective factors. Therefore, TACO could be an underreported complication of blood transfusion. Methods A survey was conducted among critical care physicians, anaesthesiologists, haematologists, transfusion medicine physicians and haemovigilance officers using case vignettes and a questionnaire. Factors that may affect diagnosing TACO were investigated using conjoint analysis. A positive B-coefficient indicates a positive preference for diagnosing TACO. Participants rated factors influencing reporting TACO on a 0- to 100-point scale. Results One hundred and seven surveys were returned (62%). Vignettes showed preferences in favour of diagnosing TACO with the onset of symptoms within 2 h [β 0·4(-0·1-1·0)], positive fluid balance [β 0·9(0·4-1·5)] and history of renal failure [β 0·6(0·1-1·2)]. Compared with transfusion of a single unit of red blood cells (RBC), respondents showed a preference for diagnosing TACO following a single unit of solvent/detergent (S/D) plasma or pooled platelet concentrate (PPC) [β 0·3(-0·2-0·7) resp. 0·5(-0·1-1·2)]. Multiple transfusion (6 RBC + 4 S/D plasma) was a strong preference for diagnosing TACO compared to 1 RBC and 1 S/D plasma [β 0·3(-0·8-1·3)]. Respondents did not fully take into account new hypertension and tachycardia when reporting TACO [median 70 (IQR 50-80) resp. 60 (IQR 50-80)]. No differences were observed between disciplines involved. Conclusion When diagnosing and reporting TACO, physicians and haemovigilance officers do consider known risk factors for TACO. Reporting could be improved by increasing the awareness of haemodynamic variables in future education programmes.

Background During hysteroscopic surgery intravasation of irrigation fluid occurs, leading to potentially dangerous intravascular fluid overload. Currently, intravasation is usually measured volumetrically as fluid deficit. Intravasation could also be calculated using the decrease in hemoglobin or increase in chloride ion concentration, both phenomena known to result from intravasation. We compared the values of intravasation measured volumetrically as fluid deficit versus calculated from the biochemical change in hemoglobin and chloride. We expected that these values would show strong correlation and agreement. Methods In a retrospective data analysis of 51 patients who underwent hysteroscopic resection of myomas or endometrium a pre and post procedure concentration of haemoglobin and chloride was available. The fluid deficit was plotted against the two versions of calculated intravasation. Furthermore, we put the data into Bland-Altman plots to scrutinize their relationship. Results The volumetric assessed fluid deficit and both versions of biochemically assessed intravasation, either using the change in hemoglobin or chloride ion concentration, turned out to be three totally different entities with weak correlation. Bland-Altman plots show too wide limits of agreement, and a striking difference between the two methods of calculated intravasation. Conclusion Our study shows significant differences and poor agreement between volumetric and biochemically assessed intravasation. Based on this study, routinely assessing intravasation by biochemical methods does not have additional benefit compared to the volumetric fluid deficit. It remains unclear which method resembles true intravasation.

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Background: Several mobile applications (apps) exist to monitor symptoms of rheumatoid arthritis (RA), but high-quality apps are lacking.1 We developed an app with patients, following the Medical Research Council guidance for developing and evaluating complex interventions.2 The app facilitates telemonitoring through a weekly MDHAQ/RAPID33 questionnaire and has been integrated with the local electronic medical record. Objectives: To evaluate the users’ satisfaction, usability and engagement of the application, as a first and preparatory step toward the ultimate goal of telemonitoring and self-initiated care. Methods: In a first, one month, pilot study 42 RA patients used the app. User’s satisfaction was measured using an 11-point Likert scale. Usability was measured using the three concepts of the Technology Acceptance Model (TAM).4 According to TAM, perceived usefulness (PU), perceived ease of use (PEOU), (behavioral) intention to use (ITU) predict how and when a product will be used. The PU and PEOU were measured using the system usability scale (0-100). A score of 68, or higher, indicates sufficient system usability.5 The ITU was measured on a 11-point Likert scale. Engagement was measured by the percentage of patients completing all weekly questionnaires. General feedback was collected and implemented. In a second, one month, pilot study, the improved app was evaluated in 24 RA patients using 5 themes derived from the Mobile App Rating Score6: “engagement”, “functionality”, “aesthetics”, “information” and “subjective quality.” Participants rated the questions on a 5 - point Likert scale. All responses were categorized into three categories: negative (1-2), neutral (3) and positive (4-5). Afterwards, nine participants (three users, three dropout users, and three non-users) agreed to participate in a semi-structured interview to get feedback on the App. Results: In the first study, the ReumaMeter scored an overall median score of 8.0 (interquartile range (IQR) 7.0-9.0), a mean system usability score of 76 (SD 14.8) and participants intended to keep using the ReumaMeter in the future (median 7.0, IQR 5.0-9.0). Engagement decreased to 61% in week 4. During the second study, the number of positive responses for each category was at least twice as high as the number of negative responses (Figure 1). Feedback that emerged during the interviews matched these responses. In addition, several participants stated that app usage declined due to low disease activity. Conclusion: The participants’ overall feedback was positive in terms of users’ satisfaction and usability. Engagement dropped, which may be due to lack of internal triggers to measure disease activity when patients are in remission. To assess the overall impact of the app on RA patient care, a randomized controlled trial is planned. References [1] Grainger R, et al. JMIR Mhealth Uhealth. 2017. 2:e7. [2] Craig P., et al. BMJ. 2008. doi:10.1136/bmj.a1655 [3] Pincus, T.et.al. The Journal of Rheumatology. 2008. 35,2136-37. [4] Davis, F.D. MIS Quarterly. 1989. 13(3):319-339. [5] Bangor, A. International Journal of Human-Computer Intervction. 2008. 24(6) 574-594. [6] Stoyanov, S.R., et al. JMIR Mhealth Uhealth, 2015. 3(1): p.e27. Disclosure of Interests: Bart Seppen: None declared, Merel J. l’Ami: None declared, Sharon Rico: None declared, Marieke ter Wee Grant/research support from: Nonrestricted grant from Lilly Netherlands BV, Speakers bureau: ARC Preceptorship program, Franktien Turkstra: None declared, Leo D. Roorda: None declared, Fabio Catarinella: None declared, Dirkjan van Schaardenburg: None declared, Michael Nurmohamed Grant/research support from: AbbVie, Bristol-Myers Squibb, Celgene, Eli Lilly, Janssen, Menarini, MSD, Mundipharma, Pfizer, Roche, Sanofi and UCB, Consultant for: AbbVie, Bristol-Myers Squibb, Celgene, Eli Lilly, Janssen, Menarini, MSD, Mundipharma, Pfizer, Roche, Sanofi and UCB, Speakers bureau: AbbVie, Bristol-Myers Squibb, Celgene, Eli Lilly, Janssen, Menarini, MSD, Mundipharma, Pfizer, Roche, Sanofi and UCB, Maarten Boers: None declared, W.H. Bos Grant/research support from: Abbvie, Sanofi, Novartis, UCB, Celgene, Roche, Speakers bureau: Abbvie, Sanofi, Eli Lilly

BACKGROUND Transfusion‐associated circulatory overload (TACO) is the predominant complication of transfusion resulting in death. The pathophysiology is poorly understood, but inability to manage volume is associated with TACO, and observational data suggest it is different from simple cardiac overload due to fluids. We developed a two‐hit TACO animal model to assess the role of volume incompliance (“first‐hit”) and studied whether volume overload (“second‐hit”) by red blood cell (RBC) transfusion is different compared to fluids (Ringer's lactate [RL]). MATERIALS AND METHODS Male adult Lewis rats were stratified into a control group (no intervention) or a first hit: either myocardial infarction (MI) or acute kidney injury (AKI). Animals were randomized to a second hit of either RBC transfusion or an equal volume of RL. A clinically relevant difference was defined as an increase in left ventricular end‐diastolic pressure (ΔLVEDP) of +4.0 mm Hg between the RBC and RL groups. RESULTS In control animals (without first hit) LVEDP was not different between infusion groups (Δ + 1.6 mm Hg). LVEDP increased significantly more after RBCs compared to RL in animals with MI (Δ7.4 mm Hg) and AKI (Δ + 5.4 mm Hg), respectively. Volume‐incompliant rats matched clinical TACO criteria in 92% of transfused versus 25% of RL‐infused animals, with a greater increase in heart rate and significantly higher blood pressure. CONCLUSION To our knowledge, this is the first animal model for TACO, showing that a combination of volume incompliance and transfusion is essential for development of circulatory overload. This model allows for further testing of mechanistic factors as well as therapeutic approaches.

In this work, we propose and apply a methodology for the management and optimization of clinical pathways using process mining. We adapt the Clinical Pathway Analysis Method (CPAM) by taking into consideration healthcare providers’ needs. We successfully applied the methodology in the sepsis treatment of a major Brazilian hospital. Using data extracted from the hospital information system, a total of 5,184 deviations in the execution of the sepsis clinical pathway were discovered and categorized in 43 different types. We identified the process as it was actually executed, two bottlenecks, and significant differences in performance in cases that deviated from the prescribed clinical pathway. Furthermore, factors such as patient age, gender, and type of infection were shown to affect performance. The analysis results were validated by an expert panel of clinical professionals and verified to provide valuable, actionable insights. Based on these insights, we were able to suggest optimization points in the sepsis clinical pathway.

Objective: Passive leg raising creates a reversible increase in venous return allowing for the prediction of fluid responsiveness. However, the amount of venous return may vary in various clinical settings potentially affecting the diagnostic performance of passive leg raising. Therefore we performed a systematic meta-analysis determining the diagnostic performance of passive leg raising in different clinical settings with exploration of patient characteristics, measurement techniques, and outcome variables. Data Sources: PubMed, EMBASE, the Cochrane Database of Systematic Reviews, and citation tracking of relevant articles. Study Selection: Clinical trials were selected when passive leg raising was performed in combination with a fluid challenge as gold standard to define fluid responders and non-responders. Data Extraction: Trials were included if data were reported allowing the extraction of sensitivity, specificity, and area under the receiver operating characteristic curve. Data Synthesis: Twenty-three studies with a total of 1,013 patients and 1,034 fluid challenges were included. The analysis demonstrated a pooled sensitivity of 86% (95% CI, 79-92), pooled specificity of 92% (95% CI, 88-96), and a summary area under the receiver operating characteristic curve of 0.95 (95% CI, 0.92-0.98). Mode of ventilation, type of fluid used, passive leg raising starting position, and measurement technique did not affect the diagnostic performance of passive leg raising. The use of changes in pulse pressure on passive leg raising showed a lower diagnostic performance when compared with passive leg raising induced changes in flow variables, such as cardiac output or its direct derivatives (sensitivity of 58% [95% CI, 44-70] and specificity of 83% [95% CI, 68-92] vs sensitivity of 85% [95% CI, 78-90] and specificity of 92% [95% CI, 87-94], respectively; p < 0.001). Conclusions: Passive leg raising retains a high diagnostic performance in various clinical settings and patient groups. The predictive value of a change in pulse pressure on passive leg raising is inferior to a passive leg raising induced change in a flow variable.

Postoperative pain management and pain assessment are still lacking the perspective of the patient. We have developed and studied a prototype smartphone application for patients to self-record postoperative pain. The main objective was to collect patient and stakeholder critique of improvements on the usability in order to develop a definitive version. The secondary objective was to investigate if patient self-recording compared to nurse-led assessment is a suitable method for postoperative pain management. Fifty patients and a stakeholder group consisting of ten healthcare- and ICT professionals and two members of the patient council participated in this study. Main outcome Thirty patients (60%) found it satisfying or very satisfying to communicate their pain with the app. Pain experienced after surgery was scored by patients as ‘no’: 3 (6%), ‘little’: 5 (10%), ‘bearable’: 25 (50%), ‘considerable’: 13 (26%) and ‘severe’: 1 (2%). Forty-five patients (90%) were positive about the ease of recording. Forty-five patients (90%) could correctly record their pain with the app. Thirty-eight patients (76%) agreed that in-app notifications to record pain were useful. Two patients (4%) were too ill to use the application. Based on usability feedback, we will redesign the pain intensity wheel and the in-app pain chart to improve clarity for patients to understand the course of their pain. Secondary outcomes The median patient recorded pain app score 4.0 (range 0 to 10) and nurse recorded numerical rating scale (NRS) for pain NRS 4.0 (range 0 to 9) were not statistically different (p = 0.06). Forty-two percent from a total of 307 patient pain app scores were ≥ 5 (on a scale from 0 no pain at all to 10 worst imaginable pain). Of these, 83% were recorded as ‘bearable’ while only in 18% of the recordings patients asked for additional analgesia. The results suggest that self-recording the severity of postoperative pain by patients with a smartphone application could be useful for postoperative pain management. The application was perceived as user-friendly and had high satisfaction rates from both patients and stakeholders. Further research is needed to validate the 11-point numeric and faces pain scale with the current gold standards visual analogue scale (VAS) and NRS for pain.

Objectives To determine the predictive value of commonly used clinical variables upon ICU admission for long-term all-cause mortality and functional outcome of adult stroke patients admitted to the ICU. Design Retrospective observational cohort study. Setting General and neurosurgical ICUs of the University College London Hospitals in North Central London. Patients All adult ICU patients with a clinical diagnosis of acute stroke admitted between February 2010 and May 2012. Interventions None. Measurements and main results Demographic and clinical data concerning the first 24 hours after ICU admission were obtained. Patients were followed until February 2016 to assess long-term survival. Functional outcome was determined using the modified Rankin Scale. We evaluated 131 critically ill stroke patients, with a median (interquartile range) age of 70 years (55-78 yr). One-year mortality rate was 52.7%. Surviving patients were followed up over a median (interquartile range) period of 4.3 years (4.0-4.8 yr). The multivariable model that best predicted long-term all-cause mortality indicated that mortality of critically ill stroke patients was predicted by high Acute Physiology and Chronic Health Evaluation II score, impaired consciousness (Glasgow Coma Scale score ≤ 8) as reason for ICU admission, low Glasgow Coma Scale sum score after 24 hours, and absence of brainstem reflexes. Long-term independent functional status occurred in 30.9% of surviving patients and was predicted by low Acute Physiology and Chronic Health Evaluation II score, high Glasgow Coma Scale sum score at ICU admission, and absence of mass effect on CT scan. Conclusions Mortality in critically ill stroke patients is high and occurs most often shortly after the event. Less than one in three surviving patients is able to function independently after 1 year. This study has identified several clinical variables that predict long-term all-cause mortality and functional outcome among critically ill stroke patients and found that mainly acute physiologic disturbance and absolute values of neurologic clinical assessment are predictive.

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This paper studies the problem of routing in a multilayer (communication and social) network. Network protocols, such as link state routing and its variants, heavily used in mobile ad hoc networks (MANETs) cannot sustain robustness and efficiency as the topological information becomes easily stale with fast network dynamics. Attempts to collect and exchange excessive network information would result in significant overhead and would degrade the overall network performance. This paper presents the SCATE (Social-Cognitive Advancement at Tactical Edge) routing protocol that applies social-cognitive techniques to improve robustness and efficiency of a multilayer network with MANET communication and social links. In a distributed and decentralized setting with local information, nodes learn and update their distances to destinations using social-cognitive metrics and make routing decisions to minimize the end-to-end delay. The SCATE protocol is compared with Optimized Link State Routing (OLSR) with and without social links. Stand-alone computer simulations and high fidelity simulation/emulation tests with CORE and EMANE are used to evaluate SCATE under different communication network (traffic and mobility) and social network effects. Results show that the SCATE protocol is a viable solution to MANET routing by substantially reducing the overhead and the end-to-end delay, and increasing the end-to-end delivery ratio for both unicast and multicast traffic.

Locked coil strands can be used in all types of rope supported bridges where long-term corrosion protection is a primary requirement. This paper reports advances of corrosion protection of locked coil strands with galvanically protective coatings and high density polyethylene (HDPE) sheathing.

The mini-fluid challenge may predict fluid responsiveness with minimum risk of fluid overloading. However, the amount of fluid as well as the best manner to evaluate the effect is unclear. In this prospective observational pilot study, the value of changes in pulse contour cardiac output (CO) measurements during mini-fluid challenges is investigated.Prospective observational study.Intensive Care Unit of a university hospital.Twenty-one patients directly after elective cardiac surgery on mechanical ventilation.The patients were subsequently given 10 intravenous boluses of 50mL of hydroxyethyl starch with a total of 500mL per patient while measuring pulse contour CO.We measured CO by minimal invasive ModelflowFifteen patients (71%) were COm responders and 13 patients (62%) COli responders. An increase in COm after 150mL of fluid5.0% yielded a positive and negative predictive value (+PV and -PV) of 100% with an area under the curve (AUC) of 1.00 (P0.001). An increase in COli6.3% after 200mL was able to predict a fluid response in COli after 500mL with a +PV of 100% and -PV of 73%, with an AUC of 0.88 (P0.001).The use of minimal invasive Modelflow

The objective of this study was to determine the incidence, risk factors, and outcome of transfusion-associated circulatory overload (TACO) in a cohort of mixed intensive care unit patients and to compare risk factors with those for cardiac overload in the absence of transfusion.In a retrospective cohort study, patients who developed TACO were compared using multivariate analysis of two control groups: patients without pulmonary deterioration who received transfusion and patients who developed circulatory overload in the absence of transfusion.TACO was diagnosed in 66 of 1140 patients who received transfusions (5.8%). A total of 585 control transfusion recipients and 76 control patients who developed circulatory overload also were identified. Risk factors were the referring specialties cardiology (odds ratio [OR], 13.6; 95% confidence interval [CI], 5.1-35.7; p ≤ 0.001) and cardiothoracic surgery (OR, 8.8; 95% CI, 3.7-20.7; p ≤ 0.001), history of cardiac failure (OR, 2.4; 95% CI, 1.2-4.6; p = 0.01), continuous veno-venous hemofiltration (OR, 3.2; 95% CI, 1.2-8.9; p = 0.03), and degree of positive fluid balance (OR, 1.15; 95% CI, 1.07-1.24; p ≤ 0.001), which was associated less with the onset of TACO compared with circulatory overload (OR, 0.89; 95% CI, 0.82-0.97; p = 0.005). Patients in the TACO group had a longer length of stay in the intensive care unit compared with the transfusion and circulatory overload controls groups (median, 7.2 vs. 4.3 vs. 4.4 days; p = 0.001 vs. p = 0.008).The incidence of TACO is high in a mixed intensive care unit population. The risk factors identified for TACO are cardiac failure, renal failure, and degree of positive fluid balance. A positive fluid balance may be less essential in the onset of TACO than in the onset of circulatory overload in the absence of transfusion.

Background: A variety of techniques for measuring lower limb loading exists, each with their own limitations. A new ambulatory biofeedback system was developed to overcome these limitations. In this study, we described the technical aspects and validated the accuracy of this system. Methods: A bench press was used to validate the system in the static situation. Ten healthy volunteers were measured by the new biofeedback system and a dual-belt instrumented treadmill to validate the system in the dynamic situation. Results: Bench press results showed that the sensor accurately measured peak loads up to 1000 N in the static situation. In the healthy volunteers, the load curves measured by the biofeedback system were similar to the treadmill. However, the peak loads and loading rates were lower in the biofeedback system in all participants at all speeds. Conclusions: Advanced sensor technologies used in the new biofeedback system resulted in highly accurate measurements in the static situation. The position of the sensor and the design of the biofeedback system should be optimized to improve results in the dynamic situation.

A 72-year-old man with varicella zoster virus (VZV) encephalitis complicated by an ischemic stroke in the right internal capsule, possibly due to secondary small-vessel vasculopathy, is described in this case report. The focus of this article is on the electroencephalogram (EEG) description of varicella zoster encephalitis and secondary vasculopathy because EEG descriptions are scarce in the literature and detailed descriptions are lacking. In this patient’s EEG, right temporal theta waves were found in combination with a mild slowing of the background rhythm to 7.5 to 8 Hz in the acute stage with an amplitude asymmetry (right temporal lobe amplitudes were significantly higher compared with the left side). The theta waves were thought to originate from the ischemic lacunar stroke, the slowing of the background rhythm from early encephalitis, and the amplitude asymmetry was presumed to be of physiologic origin. A follow-up EEG 6 days after initiation of treatment with acyclovir showed a normal symmetrical background rhythm of 8 to 8.5 Hz, wherein the theta waves were significantly reduced in abundance, and the amplitude asymmetry was unchanged. In conclusion, the EEG may localize focal abnormalities possibly due to cortical or lacunar ischemia, which could be explained by early small and/or large vessel vasculopathy in patients with suspected VZV encephalitis.

This paper presents an analytical model of a multi-layer (social-communication) network supported with on-the-fly learned and prior social-cognitive features. In this model, routing is formulated in a distributed setting where each node operating with local information only finds the next-hop node, among all social and mobile ad hoc network (MANET) communication link neighbors, whose normalized delay is the smallest. This approach minimizes the end-to-end delay and readily extends to optimize other metrics, e.g., success probability. Delay performance is analytically evaluated as a function of distance to the destination node, which is estimated in social-cognitive learning under two social-cognitive features, frequency of encounters and social pressure metric. Different mobility models (random waypoint and group) are considered for the communication topology and different graph models (uniform random or scale-free) are considered for the underlying social network. Analysis is provided for both infinite and finite node models with different levels of granularity. In addition, real social network data is used to evaluate the analysis. Results show that online learning can closely track the actual distances to the destination and the expected delay with learning is close to that with perfect knowledge of network dynamics, while it saturates with hop distance, implying that the small-world phenomenon is captured.

In mission critical networks, nodes need to communicate with minimum delay and loss. This calls for routing protocols that can quickly and efficiently route the application traffic to their destinations. This paper proposes a distance-based routing protocol, named as Smallworld, which finds efficient routes to target nodes often through a very short chain of intermediate nodes, without using any routing table like other standard routing protocols. This protocol exploits the “small-world” phenomenon of social networks where source-destination pairs typically get connected through few intermediate friends and the individuals can collectively discover such short paths. The key idea behind this routing protocol is that for forwarding an incoming packet to the destination, a node picks the next hop from between a one-hop neighbor, from its one-hop neighborhood that is closest to the destination, and a randomly selected long-distance neighbor, i.e., from outside of its one-hop neighborhood, based on which of these two neighbors is closer to the destination. This simple but effective algorithm can meet mission performance objectives by reducing packet losses, end-to-end delays, hop-counts, connectivity drops and control overheads in many tactical scenarios of interest.

Purpose To assess the level of agreement between different bedside estimates of effective circulating blood volume—mean systemic filling pressure (Pmsf), arm equilibrium pressure (Parm) and model analog (Pmsa)—in ICU patients. Methods Eleven mechanically ventilated postoperative cardiac surgery patients were studied. Sequential measures were made in the supine position, rotating the bed to a 30° head-up tilt and after fluid loading (500 ml colloid). During each condition four inspiratory hold maneuvers were done to determine Pmsf; arm stop-flow was created by inflating a cuff around the upper arm for 30 s to measure Parm, and Pmsa was estimated from a Guytonian model of the systemic circulation. Results Mean Pmsf, Parm and Pmsa across all three states were 20.9 ± 5.6, 19.8 ± 5.7 and 14.9 ± 4.0 mmHg, respectively. Bland-Altman analysis for the difference between Parm and Pmsf showed a non-significant bias of −1.0 ± 3.08 mmHg (p = 0.062), a coefficient of variation (COV) of 15 %, and limits of agreement (LOA) of −7.3 and 5.2 mmHg. For the difference between Pmsf and Pmsa we found a bias of −6.0 ± 3.1 mmHg (p

Imatinib mesylate (STI-571, Gleevec(®)), a tyrosine kinase inhibitor, is a first-line medication for treating chronic myeloid leukemia (CML). Clinical studies revealed very good hematological responses without significant side effects. However, imatinib may lead to mucosal pigmentation. Three patients, two males aged 64 and 53 and one female aged 29 presented with a painless, diffuse, grey-blue pigmentation of the mucosa of the hard palate. Both male patients had a history of CML and had been on imatinib for 4 and 10 years, respectively. The female patient had been on imatinib for 4 years for pelvic fibromatosis. Histopathologically, deposition of fine, dark-brown, spherical granules was noted within the connective tissue. There was no inflammation or hemorrhage, and no melanosis or melanocytic hyperplasia in the epithelium. The granules stained positively for both Fontana-Masson and Prussian blue stains. Imatinib-induced pigmentation is similar to that caused by other medications such as minocycline and anti-malarial medications, namely the deposition of a drug metabolite containing melanin and iron.

Many methods of cardiac output measurement have been developed, but the number of methods useful for human pharmacological studies is limited. The ‘holy grail’ for the measurement of cardiac output would be a method that is accurate, precise, operator independent, fast responding, non-invasive, continuous, easy to use, cheap and safe. This method does not exist today. In this review on cardiac output methods used in pharmacology, the Fick principle, indicator dilution techniques, arterial pulse contour analysis, ultrasound and bio-impedance are reviewed.

This paper describes the interval boundary element method treatment of the pointwise discretization error for systems with geometrically generated flux singularities. Worst-case interval bounds are provided for the local discretization error for all elements except for the element with a singular flux solution, for which the flux intensity factor is enclosed. An example is presented showing the behavior of the interval bounds on the local discretization error for systems with geometrically induced singularities.