Two Years with COVID-19: The Electronic Frailty Index Identifies High-Risk Patients in the Stockholm GeroCovid Study.

INTRODUCTION: Frailty, a measure of biological aging, has been linked to worse COVID-19 outcomes. However, as the mortality differs across the COVID-19 waves, it is less clear whether a medical record-based electronic frailty index (eFI) that we have previously developed for older adults could be used for risk stratification in hospitalized COVID-19 patients. OBJECTIVES: The aim of the study was to examine the association of frailty with mortality, readmission, and length of stay in older COVID-19 patients and to compare the predictive accuracy of the eFI to other frailty and comorbidity measures. METHODS: This was a retrospective cohort study using electronic health records (EHRs) from nine geriatric clinics in Stockholm, Sweden, comprising 3,980 COVID-19 patients (mean age 81.6 years) admitted between March 2020 and March 2022. Frailty was assessed using a 48-item eFI developed for Swedish geriatric patients, the Clinical Frailty Scale, and the Hospital Frailty Risk Score. Comorbidity was measured using the Charlson Comorbidity Index. We analyzed in-hospital mortality and 30-day readmission using logistic regression, 30-day and 6-month mortality using Cox regression, and the length of stay using linear regression. Predictive accuracy of the logistic regression and Cox models was evaluated by area under the receiver operating characteristic curve (AUC) and Harrell's C-statistic, respectively. RESULTS: Across the study period, the in-hospital mortality rate decreased from 13.9% in the first wave to 3.6% in the latest (Omicron) wave. Controlling for age and sex, a 10% increment in the eFI was significantly associated with higher risks of in-hospital mortality (odds ratio = 2.95; 95% confidence interval = 2.42-3.62), 30-day mortality (hazard ratio [HR] = 2.39; 2.08-2.74), 6-month mortality (HR = 2.29; 2.04-2.56), and a longer length of stay (ß-coefficient = 2.00; 1.65-2.34) but not with 30-day readmission. The association between the eFI and in-hospital mortality remained robust across the waves, even after the vaccination rollout. Among all measures, the eFI had the best discrimination for in-hospital (AUC = 0.780), 30-day (Harrell's C = 0.733), and 6-month mortality (Harrell's C = 0.719). CONCLUSION: An eFI based on routinely collected EHRs can be applied in identifying high-risk older COVID-19 patients during the continuing pandemic.

Smart and Adaptive Architecture for a Dedicated Internet of Things Network Comprised of Diverse Entities: A Proposal and Evaluation.

Advances in 5G and the Internet of Things (IoT) have to cater to the diverse and varying needs of different stakeholders, devices, sensors, applications, networks, and access technologies that come together for a dedicated IoT network for a synergistic purpose. Therefore, there is a need for a solution that can assimilate the various requirements and policies to dynamically and intelligently orchestrate them in the dedicated IoT network. Thus we identify and describe a representative industry-relevant use case for such a smart and adaptive environment through interviews with experts from a leading telecommunication vendor. We further propose and evaluate candidate architectures to achieve dynamic and intelligent orchestration in such a smart environment using a systematic approach for architecture design and by engaging six senior domain and IoT experts. The candidate architecture with an adaptive and intelligent element ("Smart AAA agent") was found superior for modifiability, scalability, and performance in the assessments. This architecture also explores the enhanced role of authentication, authorization, and accounting (AAA) and makes the base for complete orchestration. The results indicate that the proposed architecture can meet the requirements for a dedicated IoT network, which may be used in further research or as a reference for industry solutions.

Bayesian filtering framework for noise characterization of frequency combs.

Amplitude and phase noise correlation matrices are of fundamental importance for studying noise properties of frequency combs. They include information about the origin of noise sources as well as the scaling and correlation of the noise across the comb lines. These matrices provide an insight that is essential for obtaining low-noise performance which is important for, e.g., applications in optical communication, low-noise microwave signal generation, and distance measurements. Estimation of amplitude and phase noise correlation matrices requires highly-accurate measurement technique which can distinguishes between noise sources coming from the frequency comb and the measurement system itself. Bayesian filtering provides a theoretically optimum approach for filtering of measurement noise and thereby, the most accurate measurement of phase and amplitude noise. In this paper, a novel Bayesian filtering based framework for joint estimation of amplitude and phase noise of multiple frequency comb lines is proposed, and demonstrated for phase noise characterization. Compared to the conventional approaches, that do not employ any measurement noise filtering, the proposed approach provides significantly more accurate measurements of correlation matrices, operates over a wide range of signal-to-noise-ratios and gives an insight into comb's dynamics at short scales (<10-8 s).

Master-slave carrier recovery for M-QAM multicore fiber transmission.

Master-slave carrier recovery is a digital signal processing technique that uses correlated phase noise in multi-channel receivers to eliminate redundant carrier recovery blocks. In this paper we experimentally investigate the performance of master-slave carrier recovery for multicore fiber transmission in the presence of inter-channel nonlinear interference. Using a triple parallel loop setup we jointly receive three spatial channels in a 7-core fiber for transmission distances of up to 1600 km. We find that an increased launch power causes a moderate penalty on the slave channels. Furthermore, we study the penalty from a non-zero inter-core skew.

Decision-Making in Management of the Complex Trauma Patient: Changing the Mindset of the non-trauma Surgeon.

BACKGROUND: European surgeons are frequently subspecialized and trained primarily in elective surgical techniques. As trauma leaders, they may occasionally have to deal with complex polytrauma, advanced management techniques, differing priorities, and the need for multidisciplinary care. There is a lack of expertise, experience, and a low trauma volume, as well as a lack of research, with limited support as to the decision-making and teaching challenges present. We studied what experienced trauma experts describe as the challenges that are specific to the advanced surgical decision-making required, whether civilian, humanitarian, or military. METHODS: Design-based research using combined methods including interviews, reviews of authentic trauma cases, and video-recorded resuscitations performed at a high-volume civilian academic trauma center. RESULTS: Several educational dilemmas were identified: (1) thinking physiologically, (2) the application of damage control resuscitation and surgery, (3) differing priorities and time management, (4) impact of environment, (5) managing limited resources, (6) lack of general surgical skills, (7) different cultural behavior, and (8) ethical issues. CONCLUSION: The challenges presented, and the educational domains identified, constitute a basis for improved development of education and training in complex surgical decision-making. This study contributes new knowledge about the mindset required for decision-making in patients with complex multisystem trauma and competing priorities of care. This is, especially important in countries having a low intensity of trauma in both military and civilian environments, and consequential limited skills, and lack of expertise. Guidelines focused on the same decision-making process, using virtual patients and blended learning, can be developed.

Trauma Simulation in Prehospital Emergency Care.

Well-educated ambulance staff is a prerequisite for high-quality prehospital trauma care. The aim of this study was to examine how nurses in the ambulance service experienced participation in trauma simulation. Sixty-one nurses, working in an emergency ambulance service, performed simulated trauma care on four different occasions and afterward rated three statements on a 5-point Likert scale. A descriptive and inferential analysis was conducted. There are statistically significant increases between the pre- and posttests regarding all three statements: "I think simulation of severe trauma with manikins is realistic" (0.23 or 6% increase), "Simulation is a suitable method for learning severe trauma care" (1.3 or 38% increase), and "I am comfortable in the situation learning severe trauma care through simulation" (0.74 or 19% increase). With the experience of realism in simulation, participants become more motivated to learn and prepare for future events. If the participants instead feel uncomfortable during simulation training, they focus on their own feelings instead of learning. In a realistic simulated environment, participants are prepared to understand and manage the emergency care situation in clinical work. Participants learn during simulation when they are outside their comfort zone but without being uncomfortable or experiencing anxiety.

Decision support system in prehospital care: a randomized controlled simulation study.

INTRODUCTION: Prehospital emergency medicine is a challenging discipline characterized by a high level of acuity, a lack of clinical information and a wide range of clinical conditions. These factors contribute to the fact that prehospital emergency medicine is a high-risk discipline in terms of medical errors. Prehospital use of Computerized Decision Support System (CDSS) may be a way to increase patient safety but very few studies evaluate the effect in prehospital care. The aim of the present study is to evaluate a CDSS. METHODS: In this non-blind block randomized, controlled trial, 60 ambulance nurses participated, randomized into 2 groups. To compensate for an expected learning effect the groups was further divided in two groups, one started with case A and the other group started with case B. The intervention group had access to and treated the two simulated patient cases with the aid of a CDSS. The control group treated the same cases with the aid of a regional guideline in paper format. The performance that was measured was compliance with regional prehospital guidelines and On Scene Time (OST). RESULTS: There was no significant difference in the two group's characteristics. The intervention group had a higher compliance in the both cases, 80% vs. 60% (p<0.001) but the control group was complete the cases in the half of the time compare to the intervention group (p<0.001). CONCLUSION: The results indicate that this CDSS increases the ambulance nurses' compliance with regional prehospital guidelines but at the expense of an increase in OST.

Temporal trends in hospitalizations and 30-day mortality in older patients during the COVID pandemic from March 2020 to July 2021.

BACKGROUND: A reduction in mortality risk of COVID-19 throughout the first wave of the pandemic has been reported, but less is known about later waves. This study aimed to describe changes in hospitalizations and mortality of patients receiving inpatient geriatric care for COVID-19 or other causes during the pandemic. METHODS: Patients 70 years and older hospitalized in geriatric hospitals in Stockholm for COVID-19 or other causes between March 2020-July 2021 were included. Data on the incidence of COVID-positive cases and 30-day mortality of the total ≥ 70-year-old population, in relation to weekly hospitalizations and mortality after hospital admissions were analyzed. Findings The total number of hospitalizations was 5,320 for COVID-19 and 32,243 for non-COVID-cases. In COVID-patients, the 30-day mortality rate was highest at the beginning of the first wave (29% in March-April 2020), reached 17% at the second wave peak (November-December) followed by 11-13% in the third wave (March-July 2021). The mortality in non-COVID geriatric patients showed a similar trend, but of lower magnitude (5-10%). During the incidence peaks, COVID-19 hospitalizations displaced non-COVID geriatric patients. INTERPRETATION: Hospital admissions and 30-day mortality after hospitalizations for COVID-19 increased in periods of high community transmission, albeit with decreasing mortality rates from wave 1 to 3, with a probable vaccination effect in wave 3. Thus, the healthcare system could not compensate for the high community spread of COVID-19 during the pandemic peaks, which also led to displacing care for non-COVID geriatric patients.

Health problems among Swedish ambulance personnel: long-term risks compared to other professions in Sweden - a longitudinal register study.

Objectives. This study aimed to investigate whether Swedish ambulance personnel differ in the extent of suffering from health problems compared to other occupational groups. Methods. Two cohorts of ambulance personnel from 2001 and 2008, with 1778 and 2753 individuals, respectively, were followed regarding assignment of diagnostic coding (International Classification of Diseases codes) until 2016. These two cohorts represent all who were employed as ambulance personnel by public employers during these years. Two comparison groups were added: other healthcare workers and other professions. All data were retrieved from national registers. The χ2 test was were used for statistical calculation. Results. Swedish ambulance personnel are at a significantly higher risk of being affected by 'Paroxysmal tachycardia, atrial fibrillation and flutter, other cardiac arrhythmias', by 'Other intervertebral disc disorders' and by 'Arthropathies', when compared to both comparison groups in both cohorts. Almost similar results were seen for 'Gonarthrosis' and for 'Dorsopathies'. Conclusions. Swedish ambulance personnel run the risk of being affected by certain diseases and injuries to a greater extent compared to other professions.

Workload of Swedish Special Forces Operators Experienced During Stressful Simulation Training: A Pilot Study.

INTRODUCTION: Stress week was included during training of Special Forces (SF) Operators in Sweden to test their ability and limits for handling stress in different unknown situations and environments at a military training facility in Sweden. The aim of the study was to examine the effects of stress and workload experienced in various tasks during firefighting and military medicine simulation training. METHODS: This pilot study was performed during the second day of stress week. The National Aeronautics and Space Administration Task Load Index (NASA-TLX) is a validated, subjective, and multidimensional assessment tool for rating perceived workload with six subscales: mental demand, physical demand, temporal demand, performance, effort, and frustration. These subscales were used as an indicator of stress experienced. The different tasks were assessed by the SF Operators by rating the NASA-TLX subscales for each task, which were then analyzed and compared using ANOVA. RESULTS: There was a significant difference between the two simulation exercises assessed by the participants and instructors, and both groups considered firefighting to be more demanding than medical. The participants perceived the mental and physical demands as more demanding in the firefighting exercises, as well as for the level of frustration and effort. However, no differences regarding performance or temporal demands between the simulation exercises were found. CONCLUSION: The principle "train as you fight" implies difficult and demanding situations. When exposing Swedish SF Operators to challenging situations, assessment of perceived stress and performance are possible.

Development of an Electronic Frailty Index for Hospitalized Older Adults in Sweden.

BACKGROUND: Frailty assessment in the Swedish health system relies on the Clinical Frailty Scale (CFS), but it requires training, in-person evaluation, and is often missing in medical records. We aimed to develop an electronic frailty index (eFI) from routinely collected electronic health records (EHRs) and assess its association with adverse outcomes in hospitalized older adults. METHODS: EHRs were extracted for 18 225 patients with unplanned admissions between 1 March 2020 and 17 June 2021 from 9 geriatric clinics in Stockholm, Sweden. A 48-item eFI was constructed using diagnostic codes, functioning and other health indicators, and laboratory data. The CFS, Hospital Frailty Risk Score, and Charlson Comorbidity Index were used for comparative assessment of the eFI. We modeled in-hospital mortality and 30-day readmission using logistic regression; 30-day and 6-month mortality using Cox regression; and length of stay using linear regression. RESULTS: Thirteen thousand one hundred and eighty-eight patients were included in analyses (mean age 83.1 years). A 0.03 increment in the eFI was associated with higher risks of in-hospital (odds ratio: 1.65; 95% confidence interval: 1.54-1.78), 30-day (hazard ratio [HR]: 1.43; 1.38-1.48), and 6-month mortality (HR: 1.34; 1.31-1.37) adjusted for age and sex. Of the frailty and comorbidity measures, the eFI had the highest area under receiver operating characteristic curve for in-hospital mortality of 0.813. Higher eFI was associated with longer length of stay, but had a rather poor discrimination for 30-day readmission. CONCLUSIONS: An EHR-based eFI has robust associations with adverse outcomes, suggesting that it can be used in risk stratification in hospitalized older adults.

Teams managing civilian and military complex trauma: What are the competencies required in austere environments and the potential of simulation technology to address them?

Surgical training in civilian hospitals may not be sufficient for managing complex trauma in a setting where such care is not commonly practiced. Understanding the challenges that civilian teams face when moving to austere environments can inform the competencies that need to be trained. The aim of this study was to explore the competencies required in austere environments for teams managing complex trauma, and how they can be trained with simulation technologies. Ethnographic field observations were conducted, and field notes were synthesized. The field notes were structured with the elements of Activity Theory to generate the teams' competencies that need to be trained. A literature review was conducted to verify the results and identify examples of relevant simulation modalities. The analysis resulted in a structured list of competencies for civilian teams to manage complex trauma in an austere environment and recommendations which simulation technologies could be used in training of those competencies based on published studies. Our study contributes to understanding the challenges that civilian teams face when operating in an austere environment. A systematized list of competencies with suggested simulation technologies directs future research to improve quality of complex trauma training in civilian and military collaboration.

Decreased Mortality Over Time During the First Wave in Patients With COVID-19 in Geriatric Care: Data From the Stockholm GeroCovid Study.

OBJECTIVE: To describe temporal changes in treatment, care, and short-term mortality outcomes of geriatric patients during the first wave of the COVID-19 pandemic. DESIGN: Observational study. SETTING AND PARTICIPANTS: Altogether 1785 patients diagnosed with COVID-19 and 6744 hospitalized for non-COVID-19 causes at 7 geriatric clinics in Stockholm from March 6 to July 31, 2020, were included. METHODS: Across admission month, patient vital signs and pharmacological treatment in relationship to risk for in-hospital death were analyzed using the Poisson regression model. Incidence rates (IRs) and incidence rate ratios (IRRs) of death are presented. RESULTS: In patients with COVID-19, the IR of mortality were 27%, 17%, 10%, 8%, and 2% from March to July, respectively, after standardization for demographics and vital signs. Compared with patients admitted in March, the risk of in-hospital death decreased by 29% [IRR 0.71, 95% confidence interval (CI) 0.51-0.99] in April, 61% (0.39, 0.26-0.58) in May, 68% (0.32, 0.19-0.55) in June, and 86% (0.14, 0.03-0.58) in July. The proportion of patients admitted for geriatric care with oxygen saturation <90% decreased from 13% to 1%, which partly explains the improvement of COVID-19 patient survival. In non-COVID-19 patients during the pandemic, mortality rates remained relatively stable (IR 1.3%-2.3%). Compared with non-COVID-19 geriatric patients, the IRR of death declined from 11 times higher (IRR 11.7, 95% CI 6.11-22.3) to 1.6 times (2.61, 0.50-13.7) between March and July in patients with COVID-19. CONCLUSIONS AND IMPLICATIONS: Mortality risk in geriatric patients from the Stockholm region declined over time throughout the first pandemic wave of COVID-19. The improved survival rate over time was only partly related to improvement in saturation status at the admission of the patients hospitalized later throughout the pandemic. Lower incidence during the later months could have led to less severe hospitalized cases driving down mortality.

Acquired haemophilia A and Kaposi's sarcoma in an HIV-negative, HHV-8-positive patient: a discussion of mechanism and aetiology.

BACKGROUND: Acquired haemophilia A (AHA) is a rare bleeding disorder caused by an imbalance in the immune system leading to the production of factor VIII antibodies. In half of the cases, the underlying cause is not known. CLINICAL HISTORY: We report on a patient with AHA and Kaposi's sarcoma (KS), which is caused by the human herpes virus 8 (HHV-8). The patient presented with appendicitis and developed several severe post-operative haemorrhages. He spent 3 months in intensive care due to long and difficult infections. While recuperating on the ward, the patient developed KS in the lower extremities. He had a positive HHV-8 infection. DISCUSSION/CONCLUSION: Due to its latency and replication in the lymphoid system, HHV-8 is an ideal candidate for causing an imbalance in the immune system in susceptible patients. Our conclusion is that AHA was caused or prompted by the HHV-8 infection. Since HHV-8 viral infection is often subclinical, viral testing might be an important tool in acquired haemophilia diagnostics even when viral symptoms are absent.

Phase-coherent lightwave communications with frequency combs.

Fiber-optical networks are a crucial telecommunication infrastructure in society. Wavelength division multiplexing allows for transmitting parallel data streams over the fiber bandwidth, and coherent detection enables the use of sophisticated modulation formats and electronic compensation of signal impairments. Optical frequency combs can replace the multiple lasers used for the different wavelength channels. Beyond multiplexing, it has been suggested that the broadband phase coherence of frequency combs could simplify the receiver scheme by performing joint reception and processing of several wavelength channels, but an experimental validation in a fiber transmission experiment remains elusive. Here we demonstrate and quantify joint reception and processing of several wavelength channels in a full transmission system. We demonstrate two joint processing schemes; one that reduces the phase-tracking complexity and one that increases the transmission performance.

Analysis of triage worldwide.

Several triage methods have been developed and adopted around the world but none has been devised for specific patient populations such as older people or those with special needs. This literature review outlines the development of triage since the 1950s, briefly discusses some of the models in use around the world, including one that is used in the care of older people, and outlines the issues that should be taken into account when deciding which method to adopt.

Simulation as a means to develop firefighters as emergency care professionals.

Objective. The aim of this study was to evaluate the simulated emergency care performed by firefighters and their perception of simulation as an educational method. Methods. This study had a mixed method with both a quantitative and a qualitative approach. Data were collected by simulation assessment, a questionnaire and written comments. Descriptive analysis was conducted on the quantitative data whereas a qualitative content analysis was conducted on the qualitative data. Finally, a contingent analysis was used where a synthesis configured both the quantitative and the qualitative results into a narrative result. Results. The cognitive workload that firefighters face during simulated emergency care is crucial for learning. In this study, the severity and complexity of the scenarios provided were higher than expected by the firefighters. Clearly stated conditions for the simulation and constructive feedback were considered positive for learning. Patient actors induced realism in the scenario, increasing the experience of stress, in comparison to a manikin. Conclusion. Simulation in a realistic on-scene environment increases firefighters' cognitive ability to critically analyze problems and manage emergency care. Simulation of emergency care developed the firefighters as professionals.

The Effects of Integrated IT Support on the Prehospital Stroke Process: Results from a Realistic Experiment.

Stroke is a serious condition and the stroke chain of care is a complex. The present study aims to explore the impact of a computerised decision support system (CDSS) for the prehospital stroke process, with focus on work processes and performance. The study used an exploratory approach with a randomised controlled crossover design in a realistic contextualised simulation experiment. The study compared clinical performance among 11 emergency medical services (EMS) teams of 22 EMS clinicians using (1) a computerised decision support system (CDSS) and (2) their usual paper-based process support. Data collection consisted of video recordings, postquestionnaires and post-interviews, and data were analysed using a combination of qualitative and quantitative approaches. In this experiment, using a CDSS improved patient assessment, decision making and compliance to process recommendations. Minimal impact of the CDSS was found on EMS clinicians' self-efficacy, suggesting that even though the system was found to be cumbersome to use it did not have any negative effects on self-efficacy. Negative effects of the CDSS include increased on-scene time and a cognitive burden of using the system, affecting patient interaction and collaboration with team members. The CDSS's overall process advantage to the prehospital stroke process is assumed to lead to a prehospital care that is both safer and of higher quality. The key to user acceptance of a system such as this CDSS is the relative advantages of improved documentation process and the resulting patient journal. This could improve the overall prehospital stroke process.

Research challenges in prehospital care: the need for a simulation-based prehospital research laboratory.

There is a need for improved research in the field of prehospital care. At the same time, there are many barriers in prehospital research due to the complex context, posing unique challenges for research, development, and evaluation. The present paper argues for the potential of simulation for prehospital research, e.g., through the development of an advanced simulation-based prehospital research laboratory. However, the prehospital context is different from other healthcare areas, which implies special requirements for the design of this type of laboratory, in terms of simulation width (including the entire prehospital work process) and depth (level of scenario detail). A set of features pertaining to simulation width, scenario depth, equipment, and personnel and competence are proposed. Close tailoring between these features and the prehospital research problems and context presents great potential to improve and further prehospital research.

Cardiopulmonary resuscitation quality during CPR practice versus during a simulated life-saving event.

INTRODUCTION: As a part of the emergency medical services, the Swedish fire brigade can increase the survival rate in out-of-hospital cardiac arrests. AIM: To compare the quality of cardiopulmonary resuscitation (CPR) performed by firefighters at a routine CPR practice versus when involved in a simulated life-saving event. METHODS: In this study, 80 firefighters divided into two groups performed CPR according to guidelines: one group indoors during a routine training session; the other group outdoors during a smoke diving exercise wearing personal protective clothing and self-contained breathing apparatus. Descriptive and inferential statistics were used to analyze the data. RESULTS: The results showed a tendency for the outdoor group to perform CPR with better ventilation and compression quality, as compared to the indoor group. The ventilation of the manikin was not hampered by the firefighters wearing personal protective clothes and self-contained breathing apparatus, as the Swedish firefighters remove their facial mask and ventilate the patient with their mouth using a pocket mask. CONCLUSIONS: Overall, the results in both groups showed a high quality of CPR which can be related to the fire brigade training and education traditions. CPR training is regularly performed, which in turn helps to maintain CPR skills.