Introducción: La sepsis y el shock séptico siguen siendo los principales problemas de atención de la salud, siendo una emergencia médica que se asocia con tasas de mortalidad del 40-70%. Objetivo: Evaluar la eficacia y la seguridad de los inotrópicos en adultos con sepsis o shock séptico atendidos en el servicio de urgencias hospitalario. Material y métodos: Se realizó una búsqueda bibliográfica en las principales bases de datos. Se priorizó la inclusión de estudios de alta calidad. Los autores de la revisión extrajeron los datos de forma independiente, discutieron los desacuerdos entre ellos y resolvieron las diferencias consultando con un tercer autor. Resultados: Un solo estudio cumplió con los criterios de inclusión. No se recuperaron utilización de otros inotrópicos ni otros desenlaces críticos. Podría no haber diferencias entre los grupos en la mortalidad a los 28 días (riesgo relativo [RR]: 0.71; intervalo de confianza del 95% [IC 95%]: 0.44-1.13; p = 0.15), la mortalidad hospitalaria (RR: 0.92; IC 95%: 0.62-1.38; p = 0.69), el soporte ventilatorio mecánico (RR: 0.98; IC 95%: 0.74-1.31; p = 0.91) y la terapia renal sustitutiva (RR: 0.98; IC 95%: 0.79-1.24; p = 0.91). Probablemente disminuyan la incidencia de edema pulmonar cardiogénico (RR: 0.51; IC 95%: 0.41-0.81; p = 0.003), la incidencia de isquemia aguda de extremidades ointestinal (RR: 1.67. IC95%: 0.41-6.85; p = 0.47) y las arritmias de nueva aparición (RR: 0.55; IC 95%: 0.32-0.95; p = 0.003). Conclusiones: Existe escasa evidencia sobre la utilización de inotrópicos en el servicio de urgencias. Es imprescindible larealización de ensayos clínicos de buena calidad, así como la priorización de desenlaces críticos y a largo plazo.
Medical emergencies. Critical care. Intensive care. First aid
Andrea Carsetti, Riccardo Antolini, Roberta Domizi
et al.
Abstract Background The Venous Excess Ultrasound (VExUS) score integrates inferior vena cava diameter and venous Doppler findings to quantify congestion. Findings are conflicting regarding whether higher VExUS grades reflect worse cardiac function. We conducted a systematic review and meta-analysis to evaluate echocardiographic changes across different VExUS grades and their clinical significance. Methods The systematic review and meta-analysis were performed in accordance with the PRISMA guidelines, including hospitalized patients assessed with the VExUS score and echocardiography. The primary outcome was the association between high VExUS (grades 2–3) and TAPSE. Secondary outcomes explored the association between VExUS and other echocardiographic parameters in different subpopulations. Eligible studies were randomized or observational. The risk of bias was assessed using the ROBINS-I tool. Results Eight studies were included in the primary outcome analysis. Patients with high VExUS scores had significantly lower TAPSE values compared to those with low scores, with a pooled mean difference of −2.35 mm (95% CI −3.27 to −1.42; p < 0.00001). Moderate heterogeneity was observed (I2 = 61%), but the overall effect remained robust. Secondary outcomes showed consistent associations between high VExUS scores and reduced cardiac output, stroke volume, RV S′, and LVOT VTI. However, in a sensitivity analysis excluding studies enrolling patients with heart failure, no significant association was observed between higher VExUS scores and right ventricular dysfunction. Moreover, the pooled mean values of right heart parameters (TAPSE, S′, and RV FAC) in patients with VExUS 2–3 remained within normal physiological ranges, suggesting preserved right ventricular function despite venous congestion. Conclusion This systematic review and meta-analysis demonstrate that patients with venous congestion, as assessed by the VExUS score, may exhibit lower values of echocardiographic parameters of right ventricular function. This association is observed particularly in the subgroup of patients with known cardiac dysfunction and is not present in patients without heart failure. These findings suggest that the VExUS score should be primarily interpreted as a marker of established systemic venous congestion, rather than as an indicator of intrinsic right ventricular systolic impairment.
Anesthesiology, Medical emergencies. Critical care. Intensive care. First aid
Introduction: Delirium is a critical neuropsychiatric condition that surged among older adults during the coronavirus disease 2019 (COVID-19) pandemic, likely due to social isolation resulting from distancing measures. In this study we examined trends in delirium-related emergency department (ED) visits before and during the pandemic using nationwide data from South Korea, with a focus on different phases of social distancing, to inform healthcare strategies for older adults during public health crises. Methods: We obtained data from the National Emergency Department Information System (2017–2022). Changes in ED visits were assessed across pre-pandemic (January 2017–January 2020), early pandemic (February 2020–March 2022), and late pandemic (April 2022–December 2022) phases using interrupted time series analysis. Results: A total of 80,442 delirium-related ED visits among adults ≥ 65 years of age were recorded. The interrupted time series analysis showed a significant step increase in ED visits during the early pandemic phase (relative risk [RR] 1.290, 95% CI 1.201–1.386; 29.0% increase), followed by a decrease in the late pandemic phase (RR 0.922, 95% CI 0.868–0.981; 7.8% decrease). The most substantial increase was for individuals 65–74 year of age during the early pandemic period (RR 1.406, 95% CI 1.264–1.564) reflecting a 40.6% increase in visits to the ED. Indirect ED visits, such as institutional referrals, also notably increased (RR 1.275, 95% CI 1.184–1.373) reflecting a 27.5% increase. Conclusion: Delirium-related ED visits among older adults showed a notable 7.8% decrease during the late pandemic period, with key risk groups identified, particularly adults 65–74 of age (40.6% increase) and those referred from institutions (27.5% increase) during the early pandemic period. These findings may help inform targeted interventions and public health responses in similar healthcare settings. Despite limitations including reliance on diagnostic codes, lack of subgroup analysis by COVID-19 status, potential duplicate visit counts, and limited regional granularity this study offers important insight into delirium care needs during crisis periods. Further research should further explore causal mechanisms and the specific impact of COVID-19 infection on delirium incidence.
Medicine, Medical emergencies. Critical care. Intensive care. First aid
Ionut Anghel, Tudor Cioara, Roberta Bevilacqua
et al.
Transitional care may play a vital role for the sustainability of Europe future healthcare system, offering solutions for relocating patient care from hospital to home therefore addressing the growing demand for medical care as the population is ageing. However, to be effective, it is essential to integrate innovative Information and Communications Technology technologies to ensure that patients with comorbidities experience a smooth and coordinated transition from hospitals or care centers to home, thereby reducing the risk of rehospitalization. In this paper, we present an overview of the integration of Internet of Things, artificial intelligence, and digital assistance technologies with traditional care pathways to address the challenges and needs of healthcare systems in Europe. We identify the current gaps in transitional care and define the technology mapping to enhance the care pathways, aiming to improve patient outcomes, safety, and quality of life avoiding hospital readmissions. Finally, we define the trial setup and evaluation methodology needed to provide clinical evidence that supports the positive impact of technology integration on patient care and discuss the potential effects on the healthcare system.
Chronic diseases are long-term, manageable, yet typically incurable conditions, highlighting the need for effective preventive strategies. Machine learning has been widely used to assess individual risk for chronic diseases. However, many models rely on medical test data (e.g. blood results, glucose levels), which limits their utility for proactive self-assessment. Additionally, to gain public trust, machine learning models should be explainable and transparent. Although some research on self-assessment machine learning models includes explainability, their explanations are not validated against established medical literature, reducing confidence in their reliability. To address these issues, we develop deep learning models that predict the risk of developing 13 chronic diseases using only personal and lifestyle factors, enabling accessible, self-directed preventive care. Importantly, we use SHAP-based explainability to identify the most influential model features and validate them against established medical literature. Our results show a strong alignment between the models' most influential features and established medical literature, reinforcing the models' trustworthiness. Critically, we find that this observation holds across 13 distinct diseases, indicating that this machine learning approach can be broadly trusted for chronic disease prediction. This work lays the foundation for developing trustworthy machine learning tools for self-directed preventive care. Future research can explore other approaches for models' trustworthiness and discuss how the models can be used ethically and responsibly.
Alemitu Bezabih, Shadi Nourriz, Anne-Marie Snider
et al.
Despite a growing need for spiritual care in the US, it is often under-served, inaccessible, or misunderstood, while almost no prior work in CSCW/HCI research has engaged with professional chaplains and spiritual care providers. This interdisciplinary study aims to develop a foundational understanding of how spiritual care may (or may not) be expanded into online spaces -- especially focusing on anonymous, asynchronous, and text-based online communities. We conducted an exploratory mixed-methods study with chaplains (N=22) involving interviews and user testing sessions centered around Reddit support communities to understand participants' perspectives on technology and their ideations about the role of chaplaincy in prospective Online Spiritual Care Communities (OSCCs). Our Grounded Theory Method analysis highlighted benefits of OSCCs including: meeting patients where they are at; accessibility and scalability; and facilitating patient-initiated care. Chaplains highlighted how their presence in OSCCs could help with shaping peer interactions, moderation, synchronous chats for group care, and redirecting to external resources, while also raising important feasibility concerns, risks, and needs for future design and research. We used an existing taxonomy of chaplaincy techniques to show that some spiritual care strategies may be amenable to online spaces, yet we also exposed the limitations of technology to fully mediate spiritual care and the need to develop new online chaplaincy interventions. Based on these findings, we contribute the model of a ``Care Loop'' between institutionally-based formal care and platform-based community care to expand access and drive greater awareness and utilization of spiritual care. We also contribute design implications to guide future work in online spiritual care.
Photoplethysmography (PPG) has been extensively used for pulse oximetry monitoring in anaesthesia, perioperative and intensive care. However, some components of PPG signal have been employed for other purposes, such as non-invasive haemodynamic monitoring. Perfusion index (PI) is derived from PPG signal and represents the ratio of pulsatile on non-pulsatile light absorbance or reflectance of the PPG signal. PI determinants are complex and interlinked, involving and reflecting the interaction between peripheral and central haemodynamic characteristics, such as vascular tone and stroke volume. Recently, several studies have shed light on the interesting performances of this variable, especially assessing regional or neuraxial block success, and haemodynamic monitoring in anaesthesia, perioperative and intensive care. Nevertheless, no review has yet been published concerning the interest of PI in these fields. In this narrative review will be exposed first the physiological and pathophysiological determinants of PI, and then the mean to measure this value as well as its potential limitations. In the second part, the existing data concerning usefulness of PI in different clinical settings such as operating theatres, intensive care units and emergency departments will be presented and discussed. Finally, the perspectives concerning the use of PI and mentioned aspects that should be explored regarding this tool will be underlined.
Anna Artymowicz,1 Christina Douglas,2 Kimberly Cockerham2,3 1West Coast Eye Institute, Bakersfield, CA, USA; 2Southeast Eye Specialists, Knoxville, TN, USA; 3Senta Clinic, San Diego, CA, USACorrespondence: Anna Artymowicz, West Coast Eye Institute, 215 China Grade Loop, Bakersfield, CA, 93308, USA, Tel +1 (661) 393-2331, Email artywcei@gmail.comAbstract: Advances in telemedicine have allowed physicians to provide care in areas that were previously geographically or practically inaccessible. Roughly 70% of all US hospital have less than 200 bed capacity and nearly 50% have fewer than 100 beds. These smaller hospitals often do not have specialists available for bedside patient care, making them potential beneficiaries of telemedicine medical specialty services. In 2005, the American Stroke Association proposed implementing telemedicine services in effort to increase access to acute stroke care in neurologically underserved areas such as small hospitals. Tele-stroke services have since become established across the country and are now utilized by approximately 30% of US hospitals. By reducing the time between presentation and evaluation by a stroke specialist, tele-stroke programs have successfully increased patient access to life-saving treatment with tissue-plasminogen activator (t-PA) treatments. This change has been especially profound remote and underserved community hospitals. However in the evaluation of acute vision loss, an area where ophthalmology and stroke care overlap, increased reliance on tele-stroke services has contributed to some unique challenges. Acute vision has a complex differential and is commonly a result of conditions other than stroke. When tele-stroke services are engaged for the evaluation of acute vision loss, the neurologist is asked to make medical decisions without complete information about the eye. This situation can expose patients to costly or inappropriate testing, unnecessary hospitalizations, or lead to delayed diagnosis and treatment of non-neurologic conditions of the eye. The goal of this paper is to provide an overview of the overlap between stroke and vision loss, highlight the challenges inherent in using tele-stroke in evaluating acute vision loss and to offer our comments on how increased communication between emergency medicine, ophthalmology, and neurology services can ensure that patients with vision loss receive the highest standard of care in all hospitals.Keywords: telemedicine, tele-stroke, acute vision loss, tele-neurology, CRAO
Medical emergencies. Critical care. Intensive care. First aid
Medical image segmentation is critical for clinical diagnosis, treatment planning, and monitoring, yet segmentation models often struggle with uncertainties stemming from occlusions, ambiguous boundaries, and variations in imaging devices. Traditional test-time augmentation (TTA) techniques typically rely on predefined geometric and photometric transformations, limiting their adaptability and effectiveness in complex medical scenarios. In this study, we introduced Test-Time Generative Augmentation (TTGA), a novel augmentation strategy specifically tailored for medical image segmentation at inference time. Different from conventional augmentation strategies that suffer from excessive randomness or limited flexibility, TTGA leverages a domain-fine-tuned generative model to produce contextually relevant and diverse augmentations tailored to the characteristics of each test image. Built upon diffusion model inversion, a masked null-text inversion method is proposed to enable region-specific augmentations during sampling. Furthermore, a dual denoising pathway is designed to balance precise identity preservation with controlled variability. We demonstrate the efficacy of our TTGA through extensive experiments across three distinct segmentation tasks spanning nine datasets. Our results consistently demonstrate that TTGA not only improves segmentation accuracy (with DSC gains ranging from 0.1% to 2.3% over the baseline) but also offers pixel-wise error estimation (with DSC gains ranging from 1.1% to 29.0% over the baseline). The source code and demonstration are available at: https://github.com/maxiao0234/TTGA.
Background Augmented renal clearance (ARC) is associated with lower blood plasma concentrations of renally excreted drugs; however, its time course is unknown. The current study aimed to determine the onset timing/duration of ARC, its risk factors, and its association with clinical outcomes by continuous monitoring of urinary creatinine clearance (CrCl) in critically ill patients. Methods Data were retrospectively obtained from the medical records of 2592 critically ill patients admitted to the intensive care unit (ICU) from January 2019 to June 2022 at a tertiary emergency hospital. Among these, patients with continuously measured urinary CrCl were selected and observed over time. We evaluated the onset timing and duration of ARC by plotting Kaplan–Meier curves. Furthermore, by multivariate analyses, factors associated with the onset and persistence of ARC were analyzed, and the association between the ARC time course and clinical outcomes was evaluated. Results The prevalence of ARC was 33.4% (245/734). ARC onset was within 3 days of admission in approximately half of the cases, and within 1 week in most of the other cases. In contrast, the persistence duration of ARC varied widely (median, 5 days), and lasted for more than a month in some cases. Multivariate analysis identified younger age, male sex, lower serum creatinine at admission, admission with central nervous system disease, no medical history, use of mechanically assisted ventilation, and vasopressor use as onset factors for ARC. Furthermore, factors associated with ARC persistence such as younger age and higher urinary CrCl on ARC day 1 were detected. The onset of ARC was significantly associated with reduced mortality, but persistent of ARC was significantly associated with fewer ICU-free days. Conclusions Despite the early onset of ARC, its duration varied widely and ARC persisted longer in younger patients with higher urinary CrCl. Since the duration of ARC was associated with fewer ICU-free days, it may be necessary to consider a long-term increased-dose regimen of renally excreted drugs beginning early in patients who are predicted to have a persistent ARC.
Introduction: Lung ultrasound (LUS) is an emerging assessment tool for intensive care unit (ICU) therapists (physiotherapists, physical therapists and respiratory therapists) to aid pathology identification, intervention selection, clinical reasoning and as an outcome measure to assess intervention efficacy. However, the extent of LUS adoption and use by ICU therapists internationally has not been described in the literature. Objectives: This survey explored the interest in LUS amongst ICU therapists internationally. In addition, LUS training, use in clinical practice and barriers to implementation were also explored. The survey findings were used to facilitate recommendations for future adoption. Methods: International ICU therapists were invited to answer a 37 question cross-sectional open e-survey, distributed using the online survey tool REDCap®. The exact sample size of eligible ICU therapists from around the world is unknown, therefore the participant responses received were a representative convenience sample of the international ICU therapist population. Survey links were posted on the relevant web pages and social media forums utilised by various ICU therapist associations and professional organisations worldwide. A snowballing technique was used to encourage survey participants to forward the survey link within their professional networks. The survey was open on REDCap® for an 8-week period between March and May 2021. Results: Three hundred twenty ICU therapists from 30 countries responded with most respondents coming from either the United Kingdom (n = 94) or Australia (n = 87). Eighty-nine of the ICU therapist respondents (30%) reported being users of LUS, however, 40 of those 89 respondents reported having no formal accreditation. The top clinical indications to perform a LUS scan were changes on chest radiograph, altered findings on auscultation and a low partial pressure of arterial oxygen/fraction of inspired oxygen ratio. The 71% of LUS users reported that their ICU does not have a local policy in place to guide ICU therapists’ use of LUS. Most LUS users (82%) only document their LUS findings in the patient’s medical notes and (73%) only store the LUS clips on the ICU’s ultrasound machine. The 85% of respondents perceive LUS becoming an increasing part of their objective assessment in the future and 96% report that they have other ICU therapist colleagues interested in adopting LUS. Main reasons why respondents believe that ICU therapists are not adopting LUS in their ICU are a difficulty in access to appropriate training, mentorship, and a lack of local governance policy guiding their use of LUS. Conclusions: To the authors’ knowledge this is the first study to explore the international adoption and utility of LUS by ICU therapists. LUS is a growing technique with widespread interest from ICU therapists internationally with a desire to adopt LUS into their assessments and upskill their practice. ICU therapists’ use of LUS could allow more targetted and appropriate treatment for patients on ICU. Barriers to LUS adoption could be mitigated by having access to quality training programmes and mentorship. Development of profession specific guidance and policies within local infrastructure should facilitate growth and ensure robust quality assurance and governance processes.
Background The highly complex and technological environment of critical care manages the most critically unwell patients in the hospital system, as such there is a need for a highly trained nursing workforce. Intensive care is considered a high-risk area for errors and adverse events (AE) due to the severity of illness and number of procedures performed. Objective To investigate if the percentage of Critical Care Registered Nurses (CCRN) within an Intensive Care Unit (ICU) is associated with an increased risk of patients experiencing an AE. Design & Setting We conducted a retrospective cohort study of patients admitted between January 2016 and December 2020 to a tertiary ICU in Australia. Descriptive statistics and multivariable logistic regression were used to investigate the relationship between the proportion of CCRNs each month and the occurrence of an AE defined as any one of a medication error, fall, pressure injury or unplanned removal of a central venous catheter or endotracheal tube per patient. Results A total of 13,560 patients were included in the study, with 854 (6.3%) experiencing one AE. Patients with an AE were associated with higher illness severity and frailty scores. They were more commonly admitted after medical emergency team response calls and were less commonly elective ICU admissions. Those with an AE had longer ICU and in-hospital length of stay, and higher ICU and in-hospital mortality, on average. After adjusting for ICU LOS and acute severity of illness, being admitted during a month of higher critical care nursing skill-mix was associated with a statistically significant lower odds of having a subsequent AE (OR 0.966 [95% CI: 0.944–0.988], p 0.003). Conclusion An increasing percentage of CCRNs is independently associated with a lower risk-adjusted likelihood of an AE. Increasing the skill-mix of the ICU nursing staff may reduce the occurrence of AEs and lead to improved patient outcomes.
Anita Chary, Elise Brickhouse, Beatrice Torres
et al.
Abstract Objectives Little is known about current practices in consulting physical therapy (PT) in the emergency department (ED) for older adults with falls, a practice that can reduce fall‐related ED revisits. This qualitative study aimed to understand perspectives of ED staff about ED PT consultation for older adults with falls and fall‐related complaints, specifically regarding perceived value and associated challenges and strategies. Methods We performed focus groups and key informant interviews with emergency physicians, advanced practice clinicians, nurses, physical therapists, occupational therapists, and technicians who perform ED geriatric screenings. We used rapid qualitative analysis to identify common themes related to decisions to consult PT from the ED, perceived value of PT, and common challenges and strategies in ED PT consultation. Results Twenty‐five participants in 4 focus groups and 3 interviews represented 22 distinct institutions with ED PT consultation available for older adults with falls. About two thirds of EDs represented relied on clinician gestalt to request PT consultation (n = 15, 68%), whereas one third used formal consultation pathways (n = 7, 32%). Participants valued physical therapists’ expertise, time, and facilitation of hospital throughput by developing safe discharge plans and contact with patients to improve outpatient follow‐up. Common challenges included limited ED PT staffing and space for PT evaluations; strategies to promote ED PT consultation included advocating for leadership buy‐in and using ED observation units to monitor patients and avoid admission until PT consultation was available. Conclusion ED PT consultation for older adults with falls may benefit patients, ED staff, and hospital throughput. Uncertainty remains over whether geriatric screening‐triggered consultation versus emergency clinician gestalt successfully identifies patients likeliest to benefit from ED PT evaluation. Leadership buy‐in, designated consultation space, and formalized consultation pathways are strategies to address current challenges in ED PT consultation.
Medical emergencies. Critical care. Intensive care. First aid
In recent years, medical information technology has made it possible for electronic health record (EHR) to store fairly complete clinical data. This has brought health care into the era of "big data". However, medical data are often sparse and strongly correlated, which means that medical problems cannot be solved effectively. With the rapid development of deep learning in recent years, it has provided opportunities for the use of big data in healthcare. In this paper, we propose a temporal-saptial correlation attention network (TSCAN) to handle some clinical characteristic prediction problems, such as predicting death, predicting length of stay, detecting physiologic decline, and classifying phenotypes. Based on the design of the attention mechanism model, our approach can effectively remove irrelevant items in clinical data and irrelevant nodes in time according to different tasks, so as to obtain more accurate prediction results. Our method can also find key clinical indicators of important outcomes that can be used to improve treatment options. Our experiments use information from the Medical Information Mart for Intensive Care (MIMIC-IV) database, which is open to the public. Finally, we have achieved significant performance benefits of 2.0\% (metric) compared to other SOTA prediction methods. We achieved a staggering 90.7\% on mortality rate, 45.1\% on length of stay. The source code can be find: \url{https://github.com/yuyuheintju/TSCAN}.
Long-term care service for old people is in great demand in most of the aging societies. The number of nursing homes residents is increasing while the number of care providers is limited. Due to the care worker shortage, care to vulnerable older residents cannot be fully tailored to the unique needs and preference of each individual. This may bring negative impacts on health outcomes and quality of life among institutionalized older people. To improve care quality through personalized care planning and delivery with limited care workforce, we propose a new care planning model assisted by artificial intelligence. We apply bandit algorithms which optimize the clinical decision for care planning by adapting to the sequential feedback from the past decisions. We evaluate the proposed model on empirical data acquired from the Systems for Person-centered Elder Care (SPEC) study, a ICT-enhanced care management program.
Intensive Care Units (ICU) require comprehensive patient data integration for enhanced clinical outcome predictions, crucial for assessing patient conditions. Recent deep learning advances have utilized patient time series data, and fusion models have incorporated unstructured clinical reports, improving predictive performance. However, integrating established medical knowledge into these models has not yet been explored. The medical domain's data, rich in structural relationships, can be harnessed through knowledge graphs derived from clinical ontologies like the Unified Medical Language System (UMLS) for better predictions. Our proposed methodology integrates this knowledge with ICU data, improving clinical decision modeling. It combines graph representations with vital signs and clinical reports, enhancing performance, especially when data is missing. Additionally, our model includes an interpretability component to understand how knowledge graph nodes affect predictions.
Critical illness is a state of ill health with vital organ dysfunction, a high risk of imminent death if care is not provided, and the potential for reversibility. An estimated 45 million adults become critically ill each year. While some are treated in emergency departments or intensive care units, most are cared for in general hospital wards. We outline a priority for health systems globally: the first-tier care that all critically ill patients should receive in all parts of all hospitals: Essential Emergency and Critical Care. We describe its relation to other specialties and care and opportunities for implementation.
Laura Drikite, Jonathan P. Bedford, Liam J. O’Bryan
et al.
Background New-onset atrial fibrillation (NOAF) in patients treated on an intensive care unit (ICU) is common and associated with significant morbidity and mortality. We undertook a systematic scoping review to summarise comparative evidence to inform NOAF management for patients admitted to ICU. Methods We searched MEDLINE, EMBASE, CINAHL, Web of Science, OpenGrey, Cochrane Database of Systematic Reviews, Cochrane Central Register of Controlled Trials, Database of Abstracts of Reviews of Effects, ISRCTN, ClinicalTrials.gov, EU Clinical Trials register, additional WHO ICTRP trial databases, and NIHR Clinical Trials Gateway in March 2019. We included studies evaluating treatment or prevention strategies for NOAF or acute anticoagulation in general medical, surgical or mixed adult ICUs. We extracted study details, population characteristics, intervention and comparator(s), methods addressing confounding, results, and recommendations for future research onto study-specific forms. Results Of 3,651 citations, 42 articles were eligible: 25 primary studies, 12 review articles and 5 surveys/opinion papers. Definitions of NOAF varied between NOAF lasting 30 s to NOAF lasting > 24 h. Only one comparative study investigated effects of anticoagulation. Evidence from small RCTs suggests calcium channel blockers (CCBs) result in slower rhythm control than beta blockers (1 study), and more cardiovascular instability than amiodarone (1 study). Evidence from 4 non-randomised studies suggests beta blocker and amiodarone therapy may be equivalent in respect to rhythm control. Beta blockers may be associated with improved survival compared to amiodarone, CCBs, and digoxin, though supporting evidence is subject to confounding. Currently, the limited evidence does not support therapeutic anticoagulation during ICU admission. Conclusions From the limited evidence available beta blockers or amiodarone may be superior to CCBs as first line therapy in undifferentiated patients in ICU. The little evidence available does not support therapeutic anticoagulation for NOAF whilst patients are critically ill. Consensus definitions for NOAF, rate and rhythm control are needed.
Background During the COVID-19 pandemic, new intensive care units (ICUs) were created and clinicians were assigned or volunteered to work in these ICUs. These new ICU teams were newly formed and may have had varying practice styles which could affect team dynamics. The purpose of our qualitative descriptive study was to explore clinician perceptions of team dynamics in this newly formed ICU and specifically understand the challenges and potential improvements in this environment to guide future planning and preparedness in ICUs. Methods We conducted 14 semistructured one-on-one interviews with six nurses and eight physicians from a newly formed 36- to 50-bed medical ICU designed for COVID-19 patients in a teaching hospital. We purposively sampled and recruited ICU nurses, medical/surgical nurses, fellows, and attending physicians (with pulmonary/critical care and anaesthesia training) to participate. Participants were asked about team dynamics in the ICU, its challenges, and potential solutions. We then used a rapid analytic approach by first deductively categorising interview data into themes, based on our interview guide, to create a unique data summary for each interview. Then, these data were transferred to a matrix to compare data across all interviews and inductively analysed these data to provide deeper insights into team dynamics in ICUs. Results We identified two themes that impacted team dynamics positively (facilitator) and negatively (barrier): interpersonal factors (individual character traits and interactions among clinicians) and structural factors (unit-level factors affecting workflow, organisation, and administration). Clinicians had several suggestions to improve team dynamics (e.g., scheduling to ensure clinicians familiar with one another worked together, standardisation of care processes across teams, and disciplines). Conclusions In a newly formed COVID ICU, interpersonal factors and structural factors impacted the team's ability to work together. Considering team dynamics during ICU reorganisation is crucial and requires thoughtful attention to interpersonal and structural factors.