Asociación entre Glucemia inestable, tiempo de estancia y mortalidad de pacientes en estado críticos: Estudio de cohorte / Associação Entre Glicemia Instável, Tempo de Permanência e Mortalidade de Pacientes Críticos: Estudo de Coorte / Relationships between unstable Glycemia, Hospital Length Of Stay, and mortality In Critically Ill patients: A cohort study

Resumen Introducción: El control y la evaluación de los niveles glucémicos de pacientes en estado críticos es un desafío y una competencia del equipo de enfermería. Por lo que, determinar las consecuencias de esta durante la hospitalización es clave para evidenciar la importancia del oportuno manejo. Objetivo: Determinar la asociación entre la glucemia inestable (hiperglucemia e hipoglucemia), el resultado de la hospitalización y la duración de la estancia de los pacientes en una unidad de cuidados intensivos. Metodología: Estudio de cohorte prospectivo realizado con 62 pacientes a conveniencia en estado crítico entre marzo y julio de 2017. Se recogieron muestras diarias de sangre para medir la glucemia. Se evaluó la asociación de la glucemia inestable con la duración de la estancia y el resultado de la hospitalización mediante ji al cuadrado de Pearson. El valor de p<0.05 fue considerado significativo. Resultados: De las 62 personas participantes, 50 % eran hombres y 50 % mujeres. La edad media fue de 63.3 años (±21.4 años). La incidencia de glucemia inestable fue del 45.2 % y se asoció con una mayor duración de la estancia en la UCI (p<0.001) y una progresión a la muerte como resultado de la hospitalización (p=0.03). Conclusión: Entre quienes participaron, la glucemia inestable se asoció con una mayor duración de la estancia más prolongada y con progresión hacia la muerte, lo que refuerza la importancia de la actuación de enfermería para prevenir su aparición.

Resumo Introdução: O controle e avaliação dos níveis glicêmicos em pacientes críticos é um desafio e uma competência da equipe de enfermagem. Portanto, determinar as consequências da glicemia instável durante a hospitalização é chave para evidenciar a importância da gestão oportuna. Objetivo: Determinar a associação entre glicemia instável (hiperglicemia e hipoglicemia), os desfechos hospitalares e o tempo de permanência dos pacientes em uma unidade de terapia intensiva. Métodos: Um estudo de coorte prospectivo realizado com 62 pacientes a conveniência em estado crítico entre março e julho de 2017. Foram coletadas amostras diariamente de sangue para medir a glicemia. A associação entre a glicemia instável com o tempo de permanência e o desfecho da hospitalização foi avaliada pelo teste qui-quadrado de Pearson. O valor de p <0,05 foi considerado significativo. Resultados: Das 62 pessoas participantes, 50% eram homens e 50% mulheres. A idade média foi de 63,3 anos (±21,4 anos). A incidência de glicemia instável foi de 45,2% e se associou a um tempo de permanência mais prolongado na UTI (p <0,001) e uma progressão para óbito como desfecho da hospitalização (p = 0,03). Conclusão: Entre os participantes, a glicemia instável se associou a um tempo mais longo de permanência e com progressão para óbito, enfatizando a importância da actuação da equipe de enfermagem para prevenir sua ocorrência.

Abstract Introduction: The control and evaluation of glycemic levels in critically ill patients is a challenge and a responsibility of the nursing team; therefore, determining the consequences of this during hospitalization is key to demonstrate the importance of timely management. Objective: To determine the relationship between unstable glycemia (hyperglycemia and hypoglycemia), hospital length of stay, and the hospitalization outcome of patients in an Intensive Care Unit (ICU). Methods: A prospective cohort study conducted with 62 critically ill patients by convenience sampling between March and July 2017. Daily blood samples were collected to measure glycemia. The correlation of unstable glycemia with the hospital length of stay and the hospitalization outcome was assessed using Pearson's chi-square. A p-value <0.05 was considered significant. Results: Among the 62 patients, 50% were male and 50% were female. The mean age was 63.3 years (±21.4 years). The incidence of unstable glycemia was 45.2% and was associated with a longer ICU stay (p<0.001) and a progression to death as a hospitalization outcome (p=0.03). Conclusion: Among critically ill patients, unstable glycemia was associated with an extended hospital length of stay and a progression to death, emphasizing the importance of nursing intervention to prevent its occurrence.

Editorial - Acute Medical Care: "Exit block".

NHS urgent and emergency care (UEC) remains under immense and unsustainable pressure. This is increasingly causing harm to patients and emotional trauma to the staff striving to deliver basic standards of care.

Comparing Open-Access Database and Traditional Intensive Care Studies Using Machine Learning: Bibliometric Analysis Study.

BACKGROUND: Intensive care research has predominantly relied on conventional methods like randomized controlled trials. However, the increasing popularity of open-access, free databases in the past decade has opened new avenues for research, offering fresh insights. Leveraging machine learning (ML) techniques enables the analysis of trends in a vast number of studies. OBJECTIVE: This study aims to conduct a comprehensive bibliometric analysis using ML to compare trends and research topics in traditional intensive care unit (ICU) studies and those done with open-access databases (OADs). METHODS: We used ML for the analysis of publications in the Web of Science database in this study. Articles were categorized into "OAD" and "traditional intensive care" (TIC) studies. OAD studies were included in the Medical Information Mart for Intensive Care (MIMIC), eICU Collaborative Research Database (eICU-CRD), Amsterdam University Medical Centers Database (AmsterdamUMCdb), High Time Resolution ICU Dataset (HiRID), and Pediatric Intensive Care database. TIC studies included all other intensive care studies. Uniform manifold approximation and projection was used to visualize the corpus distribution. The BERTopic technique was used to generate 30 topic-unique identification numbers and to categorize topics into 22 topic families. RESULTS: A total of 227,893 records were extracted. After exclusions, 145,426 articles were identified as TIC and 1301 articles as OAD studies. TIC studies experienced exponential growth over the last 2 decades, culminating in a peak of 16,378 articles in 2021, while OAD studies demonstrated a consistent upsurge since 2018. Sepsis, ventilation-related research, and pediatric intensive care were the most frequently discussed topics. TIC studies exhibited broader coverage than OAD studies, suggesting a more extensive research scope. CONCLUSIONS: This study analyzed ICU research, providing valuable insights from a large number of publications. OAD studies complement TIC studies, focusing on predictive modeling, while TIC studies capture essential qualitative information. Integrating both approaches in a complementary manner is the future direction for ICU research. Additionally, natural language processing techniques offer a transformative alternative for literature review and bibliometric analysis.

Association between serum calcium and prognosis in patients with acute ischemic stroke in ICU: analysis of the MIMIC-IV database.

BACKGROUND: While serum Ca has proven to be a reliable predictor of mortality across various diseases, its connection with the clinical outcomes of ischemic stroke (IS) remains inconclusive. Our research aimed to explore the relationships between serum total Ca (tCa) and serum ionized Ca (iCa) and mortality among acute IS (AIS) patients. METHODS: We gathered data from 1773 AIS patients in the Medical Information Mart for Intensive Care Database IV, including baseline demographic data, comorbidities, vital signs, laboratory-based data, and scoring systems. Endpoints for the study encompassed 30-d, 90-d, and 365-d all-cause mortalities. Employing restricted cubic spline Cox regression, we explored potential nonlinear relationships between admission serum iCa and tCa levels and mortality. Participants were categorized into four groups based on serum iCa and tCa quartiles. Multivariable Cox regression analysis was then conducted to evaluate the independent association of iCa and tCa quartiles with all-cause mortality. RESULTS: The restricted cubic spline revealed a U-shaped association between iCa and 30-d and 90-d mortality (P<0.05), while the relationship between iCa and 365-d mortality was linear (P<0.05). After adjusting for confounders, multivariable Cox analysis demonstrated that the lowest serum iCa level quartile was independently associated with increased risks of 30-d, 90-d, and 365-d mortality. Similarly, the highest serum iCa level quartile was independently associated with increased risks of 30-d and 90-d mortality, but not 365-d mortality. Notably, serum tCa level showed no association with increased risks of 30-d, 90-d, and 365-d mortality. CONCLUSIONS: Our findings suggest that serum iCa, rather than tCa, is linked to ischemic stroke prognosis. Both high and low serum iCa levels are associated with poor short-term prognosis, while only low serum iCa is associated with poor long-term prognosis in AIS patients.

Primary palliative care in the ICU.

ABSTRACT: Despite the best efforts of modern health care and critical care providers, many patients in the intensive care unit (ICU) will still die each year. The need for palliative care services in the ICU is common. Although specialty palliative care services provide excellent care and are a tremendous resource, every critical care provider should be able to provide the basics of palliative care themselves through the model of primary palliative care. Although it may be uncomfortable for the critical care provider at first, providing palliative care to our ICU patients can be a very rewarding experience. In this article, I discuss best practices for handling difficult conversations with patients and their families, helping patients and families make difficult decisions regarding the goals of care, and managing symptoms at the end of life.

What helps or hinders effective end-of-life care in adult intensive care units in Middle Eastern countries? A systematic review.

BACKGROUND: As many patients are spending their last days in critical care units, it is essential that they receive appropriate end-of -life care. However, cultural differences, ethical dilemmas and preference practices can arise in the intensive care settings during the end of life. Limiting therapy for dying patients in intensive care is a new concept with no legal definition and therefore there may be confusion in interpreting the terms 'no resuscitation' and 'comfort care' among physicians in Middle East. Therefore, the research question is 'What helps or hinders effective end-of-life care in adult intensive care units in Middle Eastern countries?' METHODS: The authors conducted a comprehensive systematic literature review using five electronic databases. We identified primary studies from Medline, Embase, CINAHL, Psycinfo and Scopus. The team assessed the full-text papers included in the review for quality using the Joanna Briggs Institute checklist (JBI). We completed the literature search on the first of April 2022 and was not limited to a specific period. RESULTS: We identified and included nine relevant studies in the review. We identified five main themes as end-of-life care challenges and/or facilitators: organisational structure and management, (mis)understanding of end-of-life care, spirituality and religious practices for the dying, communication about end-of-life care, and the impact of the ICU environment. CONCLUSIONS: This review has reported challenges and facilitators to providing end-of-life care in ICU and made initial recommendations for improving practice. These are certainly not unique to the Middle East but can be found throughout the international literature. However, the cultural context of Middle East and North Africa countries gives these areas of practice special challenges and opportunities. Further observational research is recommended to confirm or modify the results of this review, and with a view to developing and evaluating comprehensive interventions to promote end-of-life care in ICUs in the Middle East.

Outcomes and Long-Term Survival of Adolescent and Young Adult Patients Admitted to the Intensive Care Unit Following Allogeneic Hematopoietic Stem Cell Transplantation: A Single-Center Experience of 152 Patients.

BACKGROUND AND OBJECTIVES: Prognostic factors reliably predicting outcomes for critically ill adolescent and young adult (AYA) patients undergoing allogeneic hematopoietic cell transplantation (allo-HSCT) are lacking. We assessed transplant and intensive care unit (ICU)-related factors impacting patient outcomes. PATIENTS AND METHODS: AYA patients who underwent allo-HSCT and required ICU admission at a Tertiary care Centre, during the period of 2003-2013, were included in this retrospective review. This was a non-interventional study. Only outcomes after the first allo-HSCT and index ICU admissions were analyzed. Disease-, transplant-, and ICU-related variables were analyzed to identify risk factors predictive of survival. RESULTS: Overall, 152 patients were included (males, 60.5%); median age at transplantation was 24 years (interquartile range [IQR] 18-32.5); median age at admission to the ICU was 25.8 years (IQR 19-34). Eighty-four percent underwent transplantation for a hematological malignancy; 129 (85%) received myeloablative conditioning. Seventy-one percent of ICU admissions occurred within the first year after allo-HSCT. ICU admission was primarily due to respiratory failure (47.3%) and sepsis (43.4%). One hundred and three patients (68%) died within 28 days of ICU admission. The 1- and 5-year overall survival rates were 19% and 17%, respectively. Main causes for ICU-related death were refractory septic shock with multiorgan failure (n = 49, 32%) and acute respiratory distress syndrome (ARDS) (n = 39, 26%). Univariate analysis showed that ICU mortality was associated with an Acute Physiology and Chronic Health Evaluation (APACHE) II score >20, a sequential organ failure assessment (SOFA score) > 12, a high lactate level, anemia, thrombocytopenia, leukopenia, hyperbilirubinemia, a high international normalized ratio (INR) and acute graft-versus-host disease (GVHD). Multivariate analysis identified thrombocytopenia, high INR, and acute GVHD as independent predictors of mortality. CONCLUSIONS: In AYA allo-HSCT patients admitted to the ICU, mortality remains high. Higher SOFA and APACHE scores, the need for organ support, thrombocytopenia, coagulopathy, and acute GVHD predict poor outcomes.

Workforce strategies during the first wave of the COVID-19 pandemic: a retrospective online survey at intensive care units in Germany.

BACKGROUND: As the COVID-19 pandemic swept across the globe at the beginning of 2020, healthcare systems were forced to rapidly adapt and expand to meet the sudden surge in demand for intensive care services. This study is the first systematic analysis of the strategies employed by German hospitals to recruit personnel and expand bed capacities during the first wave of the pandemic, and to evaluate the effectiveness of those recruitment measures. METHODS: 152 German hospitals with intensive care capacities were selected and invited to participate in an online-based retrospective survey. Factors like the geographic distribution, individual COVID burden and level of care were considered for inclusion in the sample. The data were analyzed descriptively. RESULTS: A total of 41 hospitals participated in the survey. The additional demand for intensive care beds was met primarily by activating intensive care beds that were previously considered as non-operational in existing intensive care units (81% of respondents) and by upgrading recovery rooms (73%). The physician staffing requirements were met at approximately 75%, while the nursing staffing requirements were only met by about 45%. Staffing needs were met through reallocations/transfers (85%), staff recruitment from parental leave or retirement (49%), increased hours worked by internal staff (49%), new staff hiring (44%) and increased use of temporary staff (32%). Staff reallocations/transfers to critical care within a hospital were rated as the most effective measure. In this context, specialized personnel mostly from anesthesiology departments were appointed to intensive care medicine. CONCLUSIONS: Despite multiple recruitment efforts, the pandemic has exacerbated the nursing staff shortage. The reallocation of existing staff within hospitals was a key element in covering the staffing needs. However, additional measures and efforts are required in order to ensure that critically ill patients can be cared for without compromise. The results of this study may have important implications for healthcare providers and policymakers, offering an evidence-based foundation for responding to future public health emergencies with agility, efficiency, and success.

The laboratory parameters-derived CoLab score as an indicator of the host response in ICU COVID-19 patients decreases over time: a prospective cohort study.

The CoLab score was developed and externally validated to rule out COVID-19 among suspected patients presenting at the emergency department. We hypothesized a within-patient decrease in the CoLab score over time in an intensive care unit (ICU) cohort. Such a decrease would create the opportunity to potentially rule out the need for isolation when the infection is overcome. Using linear mixed-effects models, data from the Maastricht Intensive Care COVID (MaastrICCht) cohort were used to investigate the association between time and the CoLab score. Models were adjusted for sex, APACHE II score, ICU mortality, and daily SOFA score. The CoLab score decreased by 0.30 points per day (95% CI - 0.33 to - 0.27), independent of sex, APACHE II, and Mortality. With increasing SOFA score over time, the CoLab score decreased more strongly (- 0.01 (95% CI - 0.01 to - 0.01) additional decrease per one-point increase in SOFA score.) The CoLab score decreased in ICU patients on mechanical ventilation for COVID-19, with a one-point reduction per three days, independent of sex, APACHE II, and ICU mortality, and somewhat stronger with increasing multi-organ failure over time. This suggests that the CoLab score would decrease below a threshold where COVID-19 can be excluded.

Use of artificial intelligence in critical care: opportunities and obstacles.

BACKGROUND: Perhaps nowhere else in the healthcare system than in the intensive care unit environment are the challenges to create useful models with direct time-critical clinical applications more relevant and the obstacles to achieving those goals more massive. Machine learning-based artificial intelligence (AI) techniques to define states and predict future events are commonplace activities of modern life. However, their penetration into acute care medicine has been slow, stuttering and uneven. Major obstacles to widespread effective application of AI approaches to the real-time care of the critically ill patient exist and need to be addressed. MAIN BODY: Clinical decision support systems (CDSSs) in acute and critical care environments support clinicians, not replace them at the bedside. As will be discussed in this review, the reasons are many and include the immaturity of AI-based systems to have situational awareness, the fundamental bias in many large databases that do not reflect the target population of patient being treated making fairness an important issue to address and technical barriers to the timely access to valid data and its display in a fashion useful for clinical workflow. The inherent "black-box" nature of many predictive algorithms and CDSS makes trustworthiness and acceptance by the medical community difficult. Logistically, collating and curating in real-time multidimensional data streams of various sources needed to inform the algorithms and ultimately display relevant clinical decisions support format that adapt to individual patient responses and signatures represent the efferent limb of these systems and is often ignored during initial validation efforts. Similarly, legal and commercial barriers to the access to many existing clinical databases limit studies to address fairness and generalizability of predictive models and management tools. CONCLUSIONS: AI-based CDSS are evolving and are here to stay. It is our obligation to be good shepherds of their use and further development.

Outbreak of carbapenemase-producing Citrobacter farmeri in an intensive care haematology department linked to a persistent wastewater reservoir in one hospital room, France, 2019 to 2022.

In 2019-2022, a prolonged outbreak of oxacillinase (OXA)-48-producing Citrobacter farmeri due to a persistent environmental contamination, occurred in our haematology intensive care unit. In April 2019, we isolated OXA-48-producing C. farmeri from rectal samples of two patients in weekly screenings. The cases had stayed in the same hospital room but 4 months apart. We screened five patients who had stayed in this room between the two cases and identified a third case. Over the following 3 years, five other cases were detected, the last case in September 2022. In total, eight cases were detected: seven colonised with the bacterium and one infected with a lethal outcome. All cases stayed in the same hospital room. We detected OXA-48-producing C. farmeri from a shower, washbasin drains and wastewater drainage of the bathroom of the hospital room. Molecular typing confirmed that all C. farmeri isolates from the environment and the cases were indistinguishable. Despite bundle measures to control the outbreak, the bacterium persisted in the system, which resulted in transmission to new patients. A design defect in the placement of wastewater drains contributed to the persistence and proliferation of the bacterium. The room was closed after the last case and the bathroom rebuilt.

[Best evidence summary for awake prone positioning in treating hypoxemic due to COVID-19 infection].

Objective: To retrieve, evaluate, and summarize the best evidence for the treatment of hypoxemia in patients with COVID-19 infection using the awake prone positioning, with the aim of guiding healthcare professionals in the standardized implementation of this therapy. Methods: A systematic search was conducted in databases including UpToDate, BMJ Best Practice, JBI Evidence-Based Healthcare Center, American Association of Critical-Care Nurses, Intensive Care Society, European Respiratory Society, World Health Organization website, Cochrane Library, PubMed, China National Knowledge Infrastructure (CNKI), and Wanfang. The retrieved literature was subjected to quality assessment and evidence extraction. Results: A total of ten publications were included, consisting of one thematic evidence summary, one guideline, two systematic reviews, three randomized controlled trials, and three expert consensus statements. This summary synthesizes thirty key pieces of evidence in five categories: organizational management and training, risk assessment, preparatory operations, implementation key points, and risk control. Conclusions: Awake prone positioning is beneficial for improving hypoxemia in patients with COVID-19 and is easy to implement. Medical institutions should develop nursing management systems, operational standards, and best practices for awake prone positioning based on evidence-based evidence in order to improve the quality of care management for such patients.

COVID-19 Vaccination in Patients with Inborn Errors of Immunity Reduces Hospitalization and Critical Care Needs Related to COVID-19: a USIDNET Report.

BACKGROUND: The CDC and ACIP recommend COVID-19 vaccination for patients with inborn errors of immunity (IEI). Not much is known about vaccine safety in IEI, and whether vaccination attenuates infection severity in IEI. OBJECTIVE: To estimate COVID-19 vaccination safety and examine effect on outcomes in patients with IEI. METHODS: We built a secure registry database in conjunction with the US Immunodeficiency Network to examine vaccination frequency and indicators of safety and effectiveness in IEI patients. The registry opened on January 1, 2022, and closed on August 19, 2022. RESULTS: Physicians entered data on 1245 patients from 24 countries. The most common diagnoses were antibody deficiencies (63.7%). At least one COVID-19 vaccine was administered to 806 patients (64.7%), and 216 patients received vaccination prior to the development of COVID-19. The most common vaccines administered were mRNA-based (84.0%). Seventeen patients were reported to seek outpatient clinic or emergency room care for a vaccine-related complication, and one patient was hospitalized for symptomatic anemia. Eight hundred twenty-three patients (66.1%) experienced COVID-19 infection. Of these, 156 patients required hospitalization (19.0%), 47 required ICU care (5.7%), and 28 died (3.4%). Rates of hospitalization (9.3% versus 24.4%, p < 0.001), ICU admission (2.8% versus 7.6%, p = 0.013), and death (2.3% versus 4.3%, p = 0.202) in patients who had COVID-19 were lower in patients who received vaccination prior to infection. In adjusted logistic regression analysis, not having at least one COVID-19 vaccine significantly increased the odds of hospitalization and ICU admission. CONCLUSION: Vaccination for COVID-19 in the IEI population appears safe and attenuates COVID-19 severity.

Building a house without foundations? A 24-country qualitative interview study on artificial intelligence in intensive care medicine.

OBJECTIVES: To explore the views of intensive care professionals in high-income countries (HICs) and lower-to-middle-income countries (LMICs) regarding the use and implementation of artificial intelligence (AI) technologies in intensive care units (ICUs). METHODS: Individual semi-structured qualitative interviews were conducted between December 2021 and August 2022 with 59 intensive care professionals from 24 countries. Transcripts were analysed using conventional content analysis. RESULTS: Participants had generally positive views about the potential use of AI in ICUs but also reported some well-known concerns about the use of AI in clinical practice and important technical and non-technical barriers to the implementation of AI. Important differences existed between ICUs regarding their current readiness to implement AI. However, these differences were not primarily between HICs and LMICs, but between a small number of ICUs in large tertiary hospitals in HICs, which were reported to have the necessary digital infrastructure for AI, and nearly all other ICUs in both HICs and LMICs, which were reported to neither have the technical capability to capture the necessary data or use AI, nor the staff with the right knowledge and skills to use the technology. CONCLUSION: Pouring massive amounts of resources into developing AI without first building the necessary digital infrastructure foundation needed for AI is unethical. Real-world implementation and routine use of AI in the vast majority of ICUs in both HICs and LMICs included in our study is unlikely to occur any time soon. ICUs should not be using AI until certain preconditions are met.

Global longitudinal strain is an informative index of left ventricular performance in neonates receiving intensive care.

Echocardiographic assessment of left ventricular function is crucial in NICU. The study aimed to compare the accuracy and agreement of global longitudinal strain (GLS) with conventional measurements. Real-life echocardiograms of neonates receiving intensive care were retrospectively reviewed. Shortening fraction (SF), ejection fraction (EF) and S' measurements were retrieved from health records. GLS was calculated offline from stored images. The association with stroke volume indexed for body weight (iSV) was evaluated by regression analysis. The diagnostic ability to identify uncompensated shock was assessed by ROC curve analysis. Cohen's κ was run to assess agreement. 334 echocardiograms of 155 neonates were evaluated. Mean ± SD gestational age and birth weight were 34.5 ± 4.1 weeks and 2264 ± 914 g, respectively. SF, EF, S' and GLS were associated with iSV with R2 of 0.133, 0.332, 0.252 and 0.633, (all p < .001). Including all variables in a regression model, iSV prediction showed an adjusted R2 of 0.667, (p < .001). GLS explained 73% of the model variance. GLS showed a better ability to diagnose uncompensated shock (AUC 0.956) compared to EF, S' and SF (AUC 0.757, 0.737 and 0.606, respectively). GLS showed a moderate agreement with EF (κ = .500, p < .001) and a limited agreement with S' and SF (κ = .260, p < .001, κ = .242, p < .001). GLS was a more informative index of left ventricular performance, providing the rationale for a more extensive use of GLS at the cotside.

E-learning-an interventional element of the PRiVENT project to improve weaning expertise.

BACKGROUND: PRiVENT (PRevention of invasive VENTilation) is an evaluation of a bundle of interventions aimed at the prevention of long-term invasive mechanical ventilation. One of these elements is an e-learning course for healthcare professionals to improve weaning expertise. The aim of our analysis is to examine the implementation of the course in cooperating intensive care units. METHODS: The course has been developed through a peer review process by pulmonary and critical care physicians in collaboration with respiratory therapists, supported by health services researchers and a professional e-learning agency. The e-learning platform "weLearn" was made available online to participating healthcare professionals. Feedback on the e-learning programme was obtained and discussed in quality circles (QCs). We measured the acceptance and use of the programme through access statistics. RESULTS: The e-learning course "Joint Prevention of Long-Term Ventilation" consists of 7 separate modules with practice-oriented training units as well as a cross-module area and corresponding interactive case studies. Users can receive 23 CME (continuing medical education) credits. The platform was released on July 1, 2021. By June 28, 2023, 214 users from 33 clinics had registered. Most users (77-98%) completed the modules, thus performing well in the test, where 90-100% passed. In the QCs, the users commended the structure and practical relevance of the programme, as well as the opportunity to earn CME credits. CONCLUSION: Especially for medical staff in intensive care units, where continuous training is often a challenge during shift work, e-learning is a useful supplement to existing medical training. TRIAL REGISTRATION: The PRiVENT study is registered at ClinicalTrials.gov (NCT05260853) on 02/03/2022.

Innovative Models of Care for Hospitals of the Future.

New ways of providing acute care outside of traditional hospital building complexes, such as virtual care or hospital in the home, are becoming more common. Despite this, many hospitals are still conceived as "bricks and mortar" centralised constructions, and few health service infrastructure organisations meet intensively with consumers or clinicians prior to conceptualising hospital design. Our study sought to understand the needs and expectation of community members and healthcare providers, and co-design innovative models of acute care to inform development of a new metropolitan hospital in Australia. Our study used a three-step approach, consisting of academic and grey literature reviews; a demographic analysis of the hospital catchment population; and a series of 20 workshops and 6 supplementary interviews with community members and local healthcare providers. We found that care should be tailored to the healthcare needs and expectations of each consumer, with consumers cared for in the community where possible and safe. We propose an innovative model of care for hospitals of the future, consisting of fully integrated acute care underpinned by appropriate digital architecture to deliver care that is community focussed. It is vital that new hospitals build in sufficient adaptability to leverage future innovation and meet the needs of growing and changing communities.

Emergencies in Pulmonary Hypertension.

Pulmonary hypertension is a challenging disease entity with various underlying etiologies. The management of patients with pulmonary arterial hypertension (WHO Group 1) remains challenging especially in the critical care setting. With risk of high morbidity and mortality, these patients require a multidisciplinary team approach at a speciality care facility for pulmonary hypertension for comprehensive evaluation and rapid initiation of treatment. For acute decompensated right heart failure, management should concentrate on optimizing preload and after load with use of pulmonary vasodilator therapy. A careful evaluation of specialized situations is required for appropriate treatment response.

Development of an enhanced scoring system to predict ICU readmission or in-hospital death within 24 hours using routine patient data from two NHS Foundation Trusts.

RATIONALE: Intensive care units (ICUs) admit the most severely ill patients. Once these patients are discharged from the ICU to a step-down ward, they continue to have their vital signs monitored by nursing staff, with Early Warning Score (EWS) systems being used to identify those at risk of deterioration. OBJECTIVES: We report the development and validation of an enhanced continuous scoring system for predicting adverse events, which combines vital signs measured routinely on acute care wards (as used by most EWS systems) with a risk score of a future adverse event calculated on discharge from the ICU. DESIGN: A modified Delphi process identified candidate variables commonly available in electronic records as the basis for a 'static' score of the patient's condition immediately after discharge from the ICU. L1-regularised logistic regression was used to estimate the in-hospital risk of future adverse event. We then constructed a model of physiological normality using vital sign data from the day of hospital discharge. This is combined with the static score and used continuously to quantify and update the patient's risk of deterioration throughout their hospital stay. SETTING: Data from two National Health Service Foundation Trusts (UK) were used to develop and (externally) validate the model. PARTICIPANTS: A total of 12 394 vital sign measurements were acquired from 273 patients after ICU discharge for the development set, and 4831 from 136 patients in the validation cohort. RESULTS: Outcome validation of our model yielded an area under the receiver operating characteristic curve of 0.724 for predicting ICU readmission or in-hospital death within 24 hours. It showed an improved performance with respect to other competitive risk scoring systems, including the National EWS (0.653). CONCLUSIONS: We showed that a scoring system incorporating data from a patient's stay in the ICU has better performance than commonly used EWS systems based on vital signs alone. TRIAL REGISTRATION NUMBER: ISRCTN32008295.