Managing ICU surge during the COVID-19 crisis: rapid guidelines

Considerations for acute care staffing during a pandemic

The increase in interconnectedness of the global population has enabled a highly transmissible virus to spread rapidly around the globe in 2020. The COVID-19 (Coronavirus Disease 2019) pandemic has led to physical, social, and economic repercussions of previously unseen proportions. Although recommendations for pandemic preparedness have been published in response to previous viral disease outbreaks, these guidelines are primarily based on expert opinion and few of them focus on acute care staffing issues. In this review, we discuss how working in acute care medicine during a pandemic can affect the physical and mental health of medical and nursing staff. We provide ideas for limiting staff shortages and creating surge capacity in acute care settings, and strategies for sustainability that can help hospitals maintain adequate staffing throughout their pandemic response.

The Role of a Liaison Team in ICU Family Communication During the COVID 19 Pandemic

CONTEXT

In the name of public safety, a general suspension on hospital visiting was imposed in the U.K., prohibiting family and friends to visit hospitalized patients, even if they were critically ill.

OBJECTIVES

we aimed to assess the impact of the FLT on the communication with patients' family and friends (PFF), especailly around end-of-life care, and their interaction with CC clinicians.

METHODS

A retrospective, mixed-methods analysis of a family liaison team (FLT) formed by redeployed clinicians in critical care (CC) during the first surge of the 2020 COVID 19 pandemic.

RESULTS

The FLT was constituted predominantly of non-ICU consultants (30/39, 77%). Following two one-hourly webinars around basic communication skills, the FLT facilitated over 12,000 video and telephone calls with 172 patients' family and friends (PFF). The majority of the PFF interviewed were mostly, very or extremely satisfied with the frequency, ease, understanding, honesty, completeness, and consistency of the information provided. Approximately 5% of the interviewees reported to be slightly or very dissatisfied in one or more of the following 3 categories: frequency, consistency, and ease of getting the information. The thematic analysis identified 3 themes: 1) being there with/ for the patient; 2) breakdown in communication; 3) disbelief at the speed of deterioration. In 14.9% of cases there was documented discrepancy between the information transmitted by the CC team and that by the FLT, particularly around the severity of the patient's illness and their imminent death.

CONCLUSION

The formation of a dedicated FLT was feasible and associated with high levels of satisfaction by the PFF. Friction was created when communication was not consistent and did not convey the severity of the patient's condition, to prepare the PFF for a bad outcome.

Predictors of critical care nurses' stress, anxiety, and depression in response to COVID-19 pandemic

BACKGROUND

The coronavirus disease 2019 (COVID-19) pandemic directly affects the psychological well-being of critical care nurses. Several studies had investigated the psychological impact of the pandemic on nurses caring for patients with COVID-19, but few were conducted to identify the predictors of this impact.

AIMS

The objective of this study is to identify the predictors of critical care nurses' stress, anxiety, and depression in response to the COVID-19 pandemic.

DESIGN

A cross-sectional survey was conducted in five intensive care units in five hospitals in Alexandria, Egypt.

METHODS

An online questionnaire was distributed. It included socio-demographic and work-related data and the depression, anxiety, and stress scale scores of the nurses under study. A multiple linear regression model was developed to identify the predictors of critical care nurses' stress, anxiety, and depression in response to the COVID-19 pandemic.

RESULTS

Two hundred (64%) of 308 nurses completed the electronic questionnaire. Significant predictors of stress included the number of infected colleagues (P < .001) and availability of hospital resources (P = .01). Significant predictors of anxiety were age, gender, satisfactory income (P < .001), years of experience, time spent caring for patients with COVID-19 (P = .04), continuous training, number of infected colleagues (P = .01), and availability of hospital resources (P = .02). Finally, significant predictors of depression included gender, history of physical problems (P = .04), educational attainment, availability of hospital resources, history of psychological problems (P < .001), and number of infected colleagues (P = .001).

CONCLUSION

The hospital's lack of human and physical resources and the number of colleagues infected with COVID-19 were the strongest predictors of stress, anxiety, and depression among nurses.

RELEVANCE TO CLINICAL PRACTICE

Identifying the predictors of stress, anxiety, and depression among nurses who care for patients with COVID-19 is a vital step in developing mental health promotion strategies to support nurses during this pandemic.

Optimized delay of the second COVID-19 vaccine dose reduces ICU admissions

Slower than anticipated, COVID-19 vaccine production and distribution have impaired efforts to curtail the current pandemic. The standard administration schedule for most COVID-19 vaccines currently approved is two doses administered 3 to 4 wk apart. To increase the number of individuals with partial protection, some governments are considering delaying the second vaccine dose. However, the delay duration must take into account crucial factors, such as the degree of protection conferred by a single dose, the anticipated vaccine supply pipeline, and the potential emergence of more virulent COVID-19 variants. To help guide decision-making, we propose here an optimization model based on extended susceptible, exposed, infectious, and removed (SEIR) dynamics that determines the optimal delay duration between the first and second COVID-19 vaccine doses. The model assumes lenient social distancing and uses intensive care unit (ICU) admission as a key metric while selecting the optimal duration between doses vs. the standard 4-wk delay. While epistemic uncertainties apply to the interpretation of simulation outputs, we found that the delay is dependent on the vaccine mechanism of action and first-dose efficacy. For infection-blocking vaccines with first-dose efficacy ≥50%, the model predicts that the second dose can be delayed by ≥8 wk (half of the maximal delay), whereas for symptom-alleviating vaccines, the same delay is recommended only if the first-dose efficacy is ≥70%. Our model predicts that a 12-wk second-dose delay of an infection-blocking vaccine with a first-dose efficacy ≥70% could reduce ICU admissions by 400 people per million over 200 d.

One year with the COVID-19 pandemic - Lessons learnt? Intersectoral collaboration measures established during the crisis could benefit capacity and patient flow management in daily clinical practice

PURPOSE

The COVID-19 pandemic has changed the way hospitals work. Strategies that were detached from the boundaries of departments and responsibilities in the COVID-19 pandemic have proven themselves under extreme conditions and show a beneficial influence on patient flow and resource management as well as on the communication culture. The continuation of closer interdisciplinary and cross-sectoral co-operation in a "new clinical routine" could have a positive impact on personnel concepts, communication strategies, and the management of acute care capacities and patient pathways.

DESIGN/METHODOLOGY/APPROACH

The aim of the paper is to critically discuss the knowledge gained in the context of the COVID-19 pandemic from the various approaches in patient flow and capacity management as well as interdisciplinary co-operation. More recent research has evaluated patient pathway management, personnel planning and communication measures with regard to their effect and practicability for continuation in everyday clinical practice.

FINDINGS

Patient flows and acute care capacities can be more efficiently managed by continuing a culture change towards closer interdisciplinary and intersectoral co-operation and technologies that support this with telemedicine functionalities and regional healthcare data interoperability. Together with a bi-directional, more frequent and open communication and feedback culture, it could form a "new clinical routine".

ORIGINALITY/VALUE

This paper discusses a holistic approach on the way away from silo thinking towards cross-departmental collaboration.

Changes in Purchases for Intensive Care Medicines During the COVID-19 Pandemic: A Global Time Series Study

BACKGROUND

Drug supply disruptions have increased during the COVID-19 pandemic, especially for medicines used in the intensive care unit (ICU). Despite reported shortages in wealthy countries, global analyses of ICU drug purchasing during COVID-19 are limited.

RESEARCH QUESTION

Has COVID-19 impacted global drug purchases of first, second- and third-choice agents used in intensive care?

STUDY DESIGN AND METHODS

We conducted a cross-sectional time series study in a global pharmacy sales dataset comprising approximately 60% of the world's population. We analyzed pandemic-related changes in units purchased per 1,000 population for 69 ICU agents. Interventional autoregressive integrated moving average (ARIMA) models tested for significant changes when the pandemic was declared (March 2020) and during its first stage from April to August 2020, globally and by development status.

RESULTS

Relative to 2019, ICU drug purchases increased by 23.6% (95% CI: 7.9-37.9%) in March 2020 (P-value<0.001), and then decreased by 10.3% (95% CI:-16.9 to -3.5%) from April to August (P-value=0.006). Purchases for second-choice medicines changed the most, especially in developing countries (e.g.: 45.8% increase in March 2020). Despite similar relative changes (P-value=0.88), absolute purchasing rates in developing nations remained low. The observed decrease from April to August 2020 was only significant in developed countries (-13.1%; 95% CI: -17.4 to -4.4%; P-value< 0.001). Country-level variation appeared unrelated to expected demand and healthcare infrastructure.

INTERPRETATION

Purchases for intensive care medicines increased globally in the month of the COVID-19 pandemic declaration, but prior to peak infection rates. These changes were most pronounced for second-choice agents, suggesting that inexpensive, generic medicines may be more easily purchased in anticipation of pandemic-related ICU surges. Nevertheless, disparities in access persisted. Trends appeared unrelated to expected demand, and decreased purchasing from April to August 2020 may suggest over-buying. National and international policies are needed to ensure equitable drug purchasing during future pandemics.

Family Presence for Critically Ill Patients During a Pandemic

Family engagement is a key component of high-quality critical care, with known benefits for patients, care teams, and family members themselves. The COVID-19 pandemic led to rapid enactment of prohibitions or restrictions on visitation that now persist, particularly for patients with COVID-19. Reevaluation of these policies in response to advances in knowledge and resources since the early pandemic is critical because COVID-19 will continue to be a public health threat for months to years, and future pandemics are likely. This article reviews rationales and evidence for restricting or permitting family members' physical presence and provides broad guidance for health care systems to develop and implement policies that maximize benefit and minimize risk of family visitation during COVID-19 and future similar public health crises.

Physicians' Acceptance of Triage Guidelines in the Context of the COVID-19 Pandemic: A Qualitative Study

Aims: One of the major ethical challenges posed by the Covid-19 pandemic comes in the form of fair triage decisions for critically ill patients in situations where life-saving resources are limited. In Spring 2020, the Swiss Academy of Medical Sciences (SAMS) issued specific guidelines on triage for intensive-care treatment in the context of the Covid-19 pandemic. While evidence has shown that the capacities of intensive care medicine throughout Switzerland were sufficient to take care of all critically ill patients during the first wave of the outbreak, no evidence is available regarding the acceptance of these guidelines by ICU staff. The aim of this qualitative study was to explore the acceptance and perceived implementation of the SAMS guidelines among a sample of senior physicians involved in the care of Covid-19 patients in the Canton of Ticino. Specific objectives included capturing and describing physicians' attitudes toward the guidelines, any challenges experienced in their application, and any perceived factors that facilitated or would facilitate their application.

Methods: We conducted face-to-face and telephone interviews with a purposive sample of nine senior physicians employed as either head of unity, deputy-head of unit, or medical director in either one of the two Covid-19 hospitals in the Canton of Ticino during the peak of the outbreak. Interviews were transcribed verbatim and thematically analyzed using an inductive approach.

Results: We found that participants held different views regarding the nature of the guidelines, saw decisions on admission as a matter of collective responsibility, argued that decisions should be based on a medical futility principle rather than an age criterion, and found that difficulties to address end-of-life issues led to a comeback of paternalism.

Conclusions: Results highlight the importance of clarifying the nature of the guidelines, establishing authority, and responsibility during triaging decisions, recognizing and addressing sources of interference with patients' autonomy, and the need of a cultural shift in timely and efficiently addressing end-of-life issues.

Streamlining brain tumor surgery care during the COVID-19 pandemic: A case-control study

BACKGROUND

The COVID-19 pandemic forced a reconsideration of surgical patient management in the setting of scarce resources and risk of viral transmission. Herein we assess the impact of implementing a protocol of more rigorous patient education, recovery room assessment for non-ICU admission, earlier mobilization and post-discharge communication for patients undergoing brain tumor surgery.

METHODS

A case-control retrospective review was undertaken at a community hospital with a dedicated neurosurgery and otolaryngology team using minimally invasive surgical techniques, total intravenous anesthesia (TIVA) and early post-operative imaging protocols. All patients undergoing craniotomy or endoscopic endonasal removal of a brain, skull base or pituitary tumor were included during two non-overlapping periods: March 2019-January 2020 (pre-pandemic epoch) versus March 2020-January 2021 (pandemic epoch with streamlined care protocol implemented). Data collection included demographics, preoperative American Society of Anesthesiologists (ASA) status, tumor pathology, and tumor resection and remission rates. Primary outcomes were ICU utilization and hospital length of stay (LOS). Secondary outcomes were complications, readmissions and reoperations.

FINDINGS

Of 295 patients, 163 patients were treated pre-pandemic (58% women, mean age 53.2±16 years) and 132 were treated during the pandemic (52% women, mean age 52.3±17 years). From pre-pandemic to pandemic, ICU utilization decreased from 92(54%) to 43(29%) of operations (p<0.001) and hospital LOS≤1 day increased from 21(12.2%) to 60(41.4%), p<0.001, respectively. For craniotomy cohort, median LOS was 2 days for both epochs; median ICU LOS decreased from 1 to 0 days (p<0.001), ICU use decreased from 73(80%) to 29(33%),(p<0.001). For endonasal cohort, median LOS decreased from 2 to 1 days; median ICU LOS was 0 days for both epochs; (p<0.001). There were no differences pre-pandemic versus pandemic in ASA scores, resection/remission rates, readmissions or reoperations.

CONCLUSION

This experience suggests the COVID-19 pandemic provided an opportunity for implementing a brain tumor care protocol to facilitate safely decreasing ICU utilization and accelerating discharge home without an increase in complications, readmission or reoperations. More rigorous patient education, recovery room assessment for non-ICU admission, earlier mobilization and post-discharge communication, layered upon a foundation of minimally invasive surgery, TIVA anesthesia and early post-operative imaging are possible contributors to these favorable trends.

Ethical and Legal Aspects of Pandemics During COVID-19 and Beyond for the Hepatology Community

Content available: Author Interview and Audio Recording.

Sharing Mechanical Ventilator: In Vitro Evaluation of Circuit Cross-Flows and Patient Interactions

During the COVID-19 pandemic, a shortage of mechanical ventilators was reported and ventilator sharing between patients was proposed as an ultimate solution. Two lung simulators were ventilated by one anesthesia machine connected through two respiratory circuits and T-pieces. Five different combinations of compliances (30–50 mL × cmH₂O⁻¹) and resistances (5–20 cmH₂O × L⁻¹ × s⁻¹) were tested. The ventilation setting was: pressure-controlled ventilation, positive end-expiratory pressure 15 cmH₂O, inspiratory pressure 10 cmH₂O, respiratory rate 20 bpm. Pressures and flows from all the circuit sections have been recorded and analyzed. Simulated patients with equal compliance and resistance received similar ventilation. Compliance reduction from 50 to 30 mL × cmH₂O⁻¹ decreased the tidal volume (V_T) by 32% (418 ± 49 vs. 285 ± 17 mL). The resistance increase from 5 to 20 cmH₂O × L⁻¹ × s⁻¹ decreased V_T by 22% (425 ± 69 vs. 331 ± 51 mL). The maximal alveolar pressure was lower at higher compliance and resistance values and decreased linearly with the time constant (r² = 0.80, p < 0.001). The minimum alveolar pressure ranged from 15.5 ± 0.04 to 16.57 ± 0.04 cmH₂O. Cross-flows between the simulated patients have been recorded in all the tested combinations, during both the inspiratory and expiratory phases. The simultaneous ventilation of two patients with one ventilator may be unable to match individual patient’s needs and has a high risk of cross-interference.

French multicentre observational study on SARS-CoV-2 infections intensive care initial management: the FRENCH CORONA study

AIM

Describing acute respiratory distress syndrome patterns, therapeutics management, and outcomes of ICU COVID-19 patients and indentifying risk factors of 28-day mortality.

METHODS

Prospective multicentre, cohort study conducted in 29 French ICUs. Baseline characteristics, comorbidities, adjunctive therapies, ventilatory support at ICU admission and survival data were collected.

RESULTS

From March to July 2020, 966 patients were enrolled with a median age of 66 (interquartile range 58-73) years and a median SAPS II of 37 (29-48). During the first 24 h of ICU admission, COVID-19 patients received one of the following respiratory supports: mechanical ventilation for 559 (58%), standard oxygen therapy for 228 (24%) and high-flow nasal cannula (HFNC) for 179 (19%) patients. Overall, 721 (75%) patients were mechanically ventilated during their ICU stay. Prone positioning and neuromuscular blocking agents were used in 494 (51%) and 460 (48%) patients, respectively. Bacterial co-infections and ventilator-associated pneumonia were diagnosed in 79 (3%) and 411 (43%) patients, respectively. The overall 28-day mortality was 18%. Age, pre-existing comorbidities, severity of respiratory failure and the absence of antiviral therapy on admission were identified as independent predictors of 28-day outcome.

CONCLUSION

Severity of hypoxaemia on admission, older age (> 70 years), cardiovascular and renal comorbidities were associated with worse outcome in COVID-19 patients. Antiviral treatment on admission was identified as a protective factor for 28-day mortality. Ascertaining the outcomes of critically ill COVID-19 patients is crucial to optimise hospital and ICU resources and provide the appropriate intensity level of care.

A Study on COVID-19 Incidence in Europe through Two SEIR Epidemic Models Which Consider Mixed Contagions from Asymptomatic and Symptomatic Individuals

The impact of the SARS-CoV-2 (COVID-19) on the world has been partially controlled through different measures of social isolation and prophylaxis. Two new SEIR (Susceptible-Exposed-Infected-Recovered) models are proposed in order to describe this spread through different countries of Europe. In both models the infectivity of the asymptomatic period during the exposed stage of the disease will be taken into account. The different transmission rates of the SEIR models are calculated by considering the different locations and, more importantly, the lockdown measures implemented in each region. A new classification of these intervention measures will be set and their influence on the values of the transmission rates will be estimated through regression analysis.

Continuing Undergraduate Pathology Medical Education in the Coronavirus Disease 2019 (COVID-19) Global Pandemic: The Johns Hopkins Virtual Surgical Pathology Clinical Elective

CONTEXT.—

In the early months of the response to the coronavirus disease 2019 (COVID-19) pandemic, the Johns Hopkins University School of Medicine (JHUSOM) (Baltimore, Maryland) leadership reached out to faculty to develop and implement virtual clinical clerkships after all in-person medical student clinical experiences were suspended.

OBJECTIVE.—

To develop and implement a digital slide-based virtual surgical pathology (VSP) clinical elective to meet the demand for meaningful and robust virtual clinical electives in response to the temporary suspension of in-person clinical rotations at JHUSOM.

DESIGN.—

The VSP elective was modeled after the in-person surgical pathology elective to include virtual previewing and sign-out with standardized cases supplemented by synchronous and asynchronous pathology educational content.

RESULTS.—

Validation of existing Web communications technology and slide-scanning systems was performed by feasibility testing. Curriculum development included drafting of course objectives and syllabus, Blackboard course site design, electronic-lecture creation, communications with JHUSOM leadership, scheduling, and slide curation. Subjectively, the weekly schedule averaged 35 to 40 hours of asynchronous, synchronous, and independent content, approximately 10 to 11 hours of which were synchronous. As of February 2021, VSP has hosted 35 JHUSOM and 8 non-JHUSOM students, who have provided positive subjective and objective course feedback.

CONCLUSIONS.—

The Johns Hopkins VSP elective provided meaningful clinical experience to 43 students in a time of immense online education need. Added benefits of implementing VSP included increased medical student exposure to pathology as a medical specialty and demonstration of how digital slides have the potential to improve standardization of the pathology clerkship curriculum.

Role for Graduate Medical Education in the Response to COVID-19 Pandemic in Southeast Michigan Community Health Care System

On March 10, 2020, the State of Michigan reported its first case of severe acute respiratory syndrome due to coronavirus disease 2019, which was admitted to Ascension Providence Hospital (APH). Michigan was the third most affected state in March 2020. To address the pandemic, Department of Graduate Medical Education joined the incident command team which consisted of APH leaders (Accreditation Council for Graduate Medical Education Designated Institutional Official, the Chief Medical Officer as commander, Chief Operating Officer, Chief of Logistics, Chief Nursing Officer, representatives from the medical and surgical sections, laboratory, finance, infection control, and occupational health). The team initiated the "crisis capacity surge plan" that was focused on patient care and led mainly by our trainee. In this correspondence we share our successful experience and provide our recommendation on how GME can navigate pandemic crisis.

Early extubation with immediate non-invasive ventilation versus standard weaning in intubated patients for coronavirus disease 2019: a retrospective multicenter study

In patients intubated for hypoxemic acute respiratory failure (ARF) related to novel coronavirus disease (COVID-19), we retrospectively compared two weaning strategies, early extubation with immediate non-invasive ventilation (NIV) versus standard weaning encompassing spontaneous breathing trial (SBT), with respect to IMV duration (primary endpoint), extubation failures and reintubations, rate of tracheostomy, intensive care unit (ICU) length of stay and mortality (additional endpoints). All COVID-19 adult patients, intubated for hypoxemic ARF and subsequently extubated, were enrolled. Patients were included in two groups, early extubation followed by immediate NIV application, and conventionally weaning after passing SBT. 121 patients were enrolled and analyzed, 66 early extubated and 55 conventionally weaned after passing an SBT. IMV duration was 9 [6-11] days in early extubated patients versus 11 [6-15] days in standard weaning group (p = 0.034). Extubation failures [12 (18.2%) vs. 25 (45.5%), p = 0.002] and reintubations [12 (18.2%) vs. 22 (40.0%) p = 0.009] were fewer in early extubation compared to the standard weaning groups, respectively. Rate of tracheostomy, ICU mortality, and ICU length of stay were no different between groups. Compared to standard weaning, early extubation followed by immediate NIV shortened IMV duration and reduced the rate of extubation failure and reintubation.

Noninvasive Ventilatory Support of Patients with COVID-19 outside the Intensive Care Units (WARd-COVID)

Rationale: Treatment with noninvasive ventilation (NIV) in coronavirus disease (COVID-19) is frequent. Shortage of intensive care unit (ICU) beds led clinicians to deliver NIV also outside ICUs. Data about the use of NIV in COVID-19 is limited.

Objectives: To describe the prevalence and clinical characteristics of patients with COVID-19 treated with NIV outside the ICUs. To investigate the factors associated with NIV failure (need for intubation or death).

Methods: In this prospective, single-day observational study, we enrolled adult patients with COVID-19 who were treated with NIV outside the ICU from 31 hospitals in Lombardy, Italy.

Results: We collected data on demographic and clinical characteristics, ventilatory management, and patient outcomes. Of 8,753 patients with COVID-19 present in the hospitals on the study day, 909 (10%) were receiving NIV outside the ICU. A majority of patients (778/909; 85%) patients were treated with continuous positive airway pressure (CPAP), which was delivered by helmet in 617 (68%) patients. NIV failed in 300 patients (37.6%), whereas 498 (62.4%) patients were discharged alive without intubation. Overall mortality was 25%. NIV failure occurred in 152/284 (53%) patients with an arterial oxygen pressure (Pa_O2)/fraction of inspired oxygen (Fi_O2) ratio <150 mm Hg. Higher C-reactive protein and lower Pa_O2/Fi_O2 and platelet counts were independently associated with increased risk of NIV failure.

Conclusions: The use of NIV outside the ICUs was common in COVID-19, with a predominant use of helmet CPAP, with a rate of success >60% and close to 75% in full-treatment patients. C-reactive protein, Pa_O2/Fi_O2, and platelet counts were independently associated with increased risk of NIV failure.

Clinical trial registered with ClinicalTrials.gov (NCT04382235).

Delirium and long term cognition in critically ill patients

Delirium, a form of acute brain dysfunction, is very common in the critically ill adult patient population. Although its pathophysiology is poorly understood, multiple factors associated with delirium have been identified, many of which are coincident with critical illness. To date, no drug or non-drug treatments have been shown to improve outcomes in patients with delirium. Clinical trials have provided a limited understanding of the contributions of multiple triggers and processes of intensive care unit (ICU) acquired delirium, making identification of therapies difficult. Delirium is independently associated with poor long term outcomes, including persistent cognitive impairment. A longer duration of delirium is associated with worse long term cognition after adjustment for age, education, pre-existing cognitive function, severity of illness, and exposure to sedatives. Interestingly, differences in prevalence are seen between ICU survivor populations, with survivors of acute respiratory distress syndrome experiencing higher rates of cognitive impairment at early follow-up compared with mixed ICU survivor populations. Although cognitive performance improves over time for some ICU survivors, impairment is persistent in others. Studies have so far been unable to identify patients at higher risk of long term cognitive impairment; this is an active area of scientific investigation.

The impact of the COVID-19 pandemic on healthcare-associated infections in intensive care unit patients: a retrospective cohort study

BACKGROUND

During the intensive care units' (ICUs) reorganization that was forced by the COVID-19 emergency, attention to traditional infection control measures may have been reduced. Nevertheless, evidence on the effect of the COVID-19 pandemic on healthcare-associated infections (HAIs) is still limited and mixed. In this study, we estimated the pandemic impact on HAI incidence and investigated the HAI type occurring in COVID-19 patients.

METHODS

Patients admitted to the main ICU of the Umberto I teaching hospital of Rome from March 1st and April 4th 2020 were compared with patients hospitalized in 2019. We assessed the association of risk factors and time-to-first event through multivariable Fine and Grey's regression models, that consider the competitive risk of death on the development of HAI (Model 1) or device related-HAI (dr-HAI, Model 2) and provide estimates of the sub-distribution hazard ratio (SHR) and its associated confidence interval (CI). A subgroup analysis was performed on the 2020 cohort.

RESULTS

Data from 104 patients were retrieved. Overall, 59 HAIs were recorded, 32 of which occurred in the COVID-19 group. Patients admitted in 2020 were found to be positively associated with both HAI and dr-HAI onset (SHR: 2.66, 95% CI 1.31-5.38, and SHR: 10.0, 95% CI 1.84-54.41, respectively). Despite being not confirmed at the multivariable analysis, a greater proportion of dr-HAIs seemed to occur in COVID-19 patients, especially ventilator-associated pneumonia, and catheter-related urinary tract infections.

CONCLUSIONS

We observed an increase in the incidence of patients with HAIs, especially dr-HAIs, mainly sustained by COVID-19 patients. A greater susceptibility of these patients to device-related infections was hypothesized, but further studies are needed.

Perceptions of the Health Care Workers about the Guideline Implemented for Safe Surgical Practice during COVID-19 Pandemic in a University Teaching Hospital

One area of health care delivery that has been affected badly in most of the institutions is the running of the surgical services. This is due to various factors such as the presence of asymptomatic carrier stage, increased morbidity and mortality in surgical procedures in a COVID-19 patient, and possible transmission of disease to the health care workers (HCWs). A guideline was formulated in our institution, which is a tertiary care university teaching hospital to resume the surgical activities in full. Following its implementation, a questionnaire-based study was conducted to understand the perception of the HCWs about the guidelines. The questionnaire had four domains with questions related to the impact of the epidemic on the practices, composition of the guidelines, its implementation, and effects. There were 217 responders which included doctors and the supportive staff. Majority of the responders welcomed the introduction of the guidelines, and felt that it ensured patient's safety and helped streamline the services. Quarantine and preoperative reverse transcription polymerase chain reaction testing were found to be appropriate measures by the respondents. In some areas, there was a difference in the responses from the doctors to that from the supportive group which assumed statistical significance. These included the reason for drop in patient numbers was the reduced patient accessibility which was felt mainly by the doctors. The doctors perceived a delay in carrying out the work, increased workload, and mental agony due to the presence of the guidelines.

Redeployment of Health Care Workers in the COVID-19 Pandemic: A Qualitative Study of Health System Leaders' Strategies

OBJECTIVES

This study aimed to determine the strategies used and critical considerations among an international sample of hospital leaders when mobilizing human resources in response to the clinical demands associated with the COVID-19 pandemic surge.

METHODS

This was a cross-sectional, qualitative research study designed to investigate strategies used by health system leaders from around the world when mobilizing human resources in response to the global COVD-19 pandemic. Prospective interviewees were identified through nonprobability and purposive sampling methods from May to July 2020. The primary outcomes were the critical considerations, as perceived by health system leaders, when redeploying health care workers during the COVID-19 pandemic determined through thematic analysis of transcribed notes. Redeployment was defined as reassigning personnel to a different location or retraining personnel for a different task.

RESULTS

Nine hospital leaders from 9 hospitals in 8 health systems located in 5 countries (United States, United Kingdom, New Zealand, Singapore, and South Korea) were interviewed. Six hospitals in 5 health systems experienced a surge of critically ill patients with COVID-19, and the remaining 3 hospitals anticipated, but did not experience, a similar surge. Seven of 8 hospitals redeployed their health care workforce, and 1 had a redeployment plan in place but did not need to use it. Thematic analysis of the interview notes identified 3 themes representing effective practices and lessons learned when preparing and executing workforce redeployment: process, leadership, and communication. Critical considerations within each theme were identified. Because of the various expertise of redeployed personnel, retraining had to be customized and a decentralized flexible strategy was implemented. There were 3 concerns regarding redeployed personnel. These included the fear of becoming infected, the concern over their skills and patient safety, and concerns regarding professional loss (such as loss of education opportunities in their chosen profession). Transparency via multiple different types of communications is important to prevent the development of doubt and rumors.

CONCLUSIONS

Redeployment strategies should critically consider the process of redeploying and supporting the health care workforce, decentralized leadership that encourages and supports local implementation of system-wide plans, and communication that is transparent, regular, consistent, and informed by data.

Development of a Critical Care Response - Experiences from Italy During the Coronavirus Disease 2019 Pandemic

Italy was the first western country facing an outbreak of coronavirus disease 2019 (COVID-19). The first Italian patient diagnosed with COVID-19 was admitted, on Feb. 20, 2020, to the intensive care unit (ICU) in Codogno (Lodi, Lombardy, Italy), and the number of reported positive cases increased to 36 in the next 24 hours, and then exponentially for 18 days. This triggered a response that resulted in a massive surge in ICU bed capacity. The COVID19 Lombardy Network organized a structured logistic response and provided scientific evidence to highlight information on COVID-19 associated respiratory failure.

Caring for critically ill adults in paediatric intensive care units in England during the COVID-19 pandemic: planning, implementation and lessons for the future

OBJECTIVE

To describe the experience of paediatric intensive care units (PICUs) in England that repurposed their units, equipment and staff to care for critically ill adults during the first wave of the COVID-19 pandemic.

DESIGN

Descriptive study.

SETTING

Seven PICUs in England.

MAIN OUTCOME MEASURES

(1) Modelling using historical Paediatric Intensive Care Audit Network data; (2) space, staff, equipment, clinical care, communication and governance considerations during repurposing of PICUs; (3) characteristics, interventions and outcomes of adults cared for in repurposed PICUs.

RESULTS

Seven English PICUs, accounting for 137 beds, repurposed their space, staff and equipment to admit critically ill adults. Neighbouring PICUs increased their bed capacity to maintain overall bed numbers for children, which was informed by historical data modelling (median 280-307 PICU beds were required in England from March to June). A total of 145 adult patients (median age 50-62 years) were cared for in repurposed PICUs (1553 bed-days). The vast majority of patients had COVID-19 (109/145, 75%); the majority required invasive ventilation (91/109, 85%). Nearly, a third of patients (42/145, 29%) underwent a tracheostomy. Renal replacement therapy was provided in 20/145 (14%) patients. Twenty adults died in PICU (14%).

CONCLUSION

In a rapid and unprecedented effort during the first wave of the COVID-19 pandemic, seven PICUs in England were repurposed to care for adult patients. The success of this effort was underpinned by extensive local preparation, close collaboration with adult intensivists and careful national planning to safeguard paediatric critical care capacity.

Responding to the COVID-19 pandemic: Development of a critical care nursing surge model to meet patient needs and maximise competencies

Background

The current coronavirus disease 2019 (COVID-19) pandemic is creating unprecedented and unchartered demands on critical care units to meet patient needs and adapt the delivery of health services. Critical care nurses play a pivotal role in developing models of care that are effective, flexible, and safe.

Objectives

We report on the accelerated development of a critical care nursing surge model responsive to escalating needs for intensive care capacity.

Methods

We conducted an exploratory prospective observational cohort study that included (i) a self-assessment and survey of learning needs of noncritical care nurses identified as candidate groups for redeployment in the intensive care unit and (ii) a pilot implementation of a team nursing model evaluated by individual questionnaires and the conduct of focus groups. We used descriptive statistics and qualitative content analysis to analyse the exploratory findings.

Results

We surveyed 147 noncritical care nurses; 99 (67.3%) self-assessed at the lowest level of critical care competency, whereas 33 (24.3%) reported feeling able to help care for a critically ill patient under the direction of a critical care nurse. Identified learning needs included appropriate use of personal protective equipment in the intensive care unit (n = 123, 83.7%), use of specialised equipment (n = 103, 85.1%), basic mechanical ventilation, and vasoactive medication. We completed 11 team nursing pilot assignments with dyads of critical care and noncritical care nurses categorised in tiers of competencies. Nurses reported high levels of perceived support and provision of safe care; multiple recommendations were identified to improve the model of care delivery and communication.

Conclusions

The complexity, acuity, and unpredictability of the COVID-19 pandemic is placing new demands on critical care nurses to modify existing processes for care delivery while ensuring excellent outcomes and professional satisfaction. The study findings provide a road map to support nursing engagement in meeting patient needs.

Clinical characterization of respiratory large droplet production during common airway procedures using high-speed imaging

During the COVID-19 pandemic, a significant number of healthcare workers have been infected with SARS-CoV-2. However, there remains little knowledge regarding large droplet dissemination during airway management procedures in real life settings. 12 different airway management procedures were investigated during routine clinical care. A high-speed video camera (1000 frames/second) was for imaging. Quantitative droplet characteristics as size, distance traveled, and velocity were computed. Droplets were detected in 8/12 procedures. The droplet trajectories could be divided into two distinctive patterns (type 1/2). Type 1 represented a ballistic trajectory with higher speed large droplets whereas type 2 represented a random trajectory of slower particles that persisted longer in air. The use of tracheal cannula filters reduced the amount of droplets. Respiratory droplet patterns generated during airway management procedures follow two distinctive trajectories based on the influence of aerodynamic forces. Speaking and coughing produce more droplets than non-invasive ventilation therapy confirming these behaviors as exposure risks. Even large droplets may exhibit patterns resembling the fluid dynamics smaller airborne aerosols that follow the airflow convectively and may place the healthcare provider at risk.

Association Between Hyperoxia, Supplemental Oxygen, and Mortality in Critically Injured Patients

Supplemental Digital Content is available in the text.

OBJECTIVES:

Hyperoxia is common among critically ill patients and may increase morbidity and mortality. However, limited evidence exists for critically injured patients. The objective of this study was to determine the association between hyperoxia and in-hospital mortality in adult trauma patients requiring ICU admission.

DESIGN, SETTING, AND PARTICIPANTS:

This multicenter, retrospective cohort study was conducted at two level I trauma centers and one level II trauma center in CO between October 2015 and June 2018. All adult trauma patients requiring ICU admission within 24 hours of emergency department arrival were eligible. The primary exposure was oxygenation during the first 7 days of hospitalization.

INTERVENTIONS:

None.

MEASUREMENTS AND MAIN RESULTS:

Primary outcome was in-hospital mortality. Secondary outcomes were hospital-free days and ventilator-free days. We included 3,464 critically injured patients with a mean age of 52.6 years. Sixty-five percent were male, and 66% had blunt trauma mechanism of injury. The primary outcome of in-hospital mortality occurred in 264 patients (7.6%). Of 226,057 patient-hours, 46% were spent in hyperoxia (oxygen saturation > 96%) and 52% in normoxia (oxygen saturation 90–96%). During periods of hyperoxia, the adjusted risk for mortality was higher with greater oxygen administration. At oxygen saturation of 100%, the adjusted risk scores for mortality (95% CI) at Fio₂ of 100%, 80%, 60%, and 50% were 6.4 (3.5–11.8), 5.4 (3.4–8.6), 2.7 (1.7–4.1), and 1.5 (1.1–2.2), respectively. At oxygen saturation of 98%, the adjusted risk scores for mortality (95% CI) at Fio₂ of 100%, 80%, 60%, and 50% were 7.7 (4.3–13.5), 6.3 (4.1–9.7), 3.2 (2.2–4.8), and 1.9 (1.4–2.7), respectively.

CONCLUSIONS:

During hyperoxia, higher oxygen administration was independently associated with a greater risk of mortality among critically injured patients. Level of evidence: Cohort study, level III.

Description of a Multi-faceted COVID-19 Pandemic Physician Workforce Plan at a Multi-site Academic Health System

BACKGROUND

The evolving COVID-19 pandemic has and continues to present a threat to health system capacity. Rapidly expanding an existing acute care physician workforce is critical to pandemic response planning in large urban academic health systems.

INTERVENTION

The Medical Emergency-Pandemic Operations Command (MEOC)-a multi-specialty team of physicians, operational leaders, and support staff within an academic Department of Medicine in Calgary, Canada-partnered with its provincial health system to rapidly develop a comprehensive, scalable pandemic physician workforce plan for non-ventilated inpatients with COVID-19 across multiple hospitals. The MEOC Pandemic Plan comprised seven components, each with unique structure and processes.

METHODS

In this manuscript, we describe MEOC's Pandemic Plan that was designed and implemented from March to May 2020 and re-escalated in October 2020. We report on the plan's structure and process, early implementation outcomes, and unforeseen challenges. Data sources included MEOC documents, health system, public health, and physician engagement implementation data.

KEY RESULTS

From March 5 to October 26, 2020, 427 patients were admitted to COVID-19 units in Calgary hospitals. In the initial implementation period (March-May 2020), MEOC communications reached over 2500 physicians, leading to 1446 physicians volunteering to provide care on COVID-19 units. Of these, 234 physicians signed up for hospital shifts, and 227 physicians received in-person personal protective equipment simulation training. Ninety-three physicians were deployed on COVID-19 units at four large acute care hospitals. The resurgence of cases in September 2020 has prompted re-escalation including re-activation of COVID-19 units.

CONCLUSIONS

MEOC leveraged an academic health system partnership to rapidly design, implement, and refine a comprehensive, scalable COVID-19 acute care physician workforce plan whose components are readily applicable across jurisdictions or healthcare crises. This description may guide other institutions responding to COVID-19 and future health emergencies.

Hospital capacity during the COVID-19 pandemic

The rapid global spread of the COVID-19 pandemic has posed a significant challenge to various countries in terms of the capacity of hospitals to admit and care for patients during the crisis. To estimate hospital capacity during the COVID-19 pandemic, clinicians working in tertiary hospitals around the world were surveyed regarding available COVID-19 hospital statistics. Data were obtained from 8 tertiary centers in 8 countries including the United States, United Kingdom, Switzerland, Turkey, Singapore, India, Pakistan, and Japan. The correlation between the number of patients with COVID-19 per 1 million population vs. the maximum number of inpatients with COVID-19 in a representative tertiary hospital in each country was determined, as was the correlation between COVID-19 deaths per 1 million population vs. the maximum number of patients with COVID-19 in the intensive care unit (ICU). What was noteworthy was that none of the 8 hospitals reduced emergency room (ER) activity even at the peak of the pandemic although treatment of patients without COVID-19 decreased by 0-70% depending on the extent of the epidemic. Although various measures are being actively implemented to slow the spread of the virus and reduce the strain on the health care system, the reality is that there are still a significant number of hospitals at risk of being overloaded in the event of a future surge in cases.

Frugal Innovation: Enabling Mechanical Ventilation During Coronavirus Disease 2019 Pandemic in Resource-Limited Settings

ICUs worldwide are facing resource shortages including increased need for provision of invasive mechanical ventilation during the current coronavirus disease 2019 pandemic. Fearing shortage of ventilators, many private companies and public institutions have focused on building new inexpensive, open-source ventilators. However, designing and building new ventilators is not sufficient for addressing invasive mechanical ventilation needs in resource-limited settings. In this commentary, we highlight additional interdependent constraints that should be considered and provide a framework for addressing these constraints to ensure that the increasing stockpile of open-source ventilators are easily deployable and sustainable for use in resource-limited settings.

Humoral immune responses in hospitalized COVID-19 patients

Background

The emerging coronavirus 2019 (COVID-19) disease, caused by infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is a worldwide public health crisis. Antibody analysis is an important procedure for the diagnosis of COVID-19 patients. We investigated the IgG, IgM, and IgA responses against the SARS-CoV-2 spike (S) protein among hospitalized COVID-19 patients.

Materials and methods

Hospitalized COVID-19 patients (n = 178) in the Al Madinah region, Saudi Arabia, participated in this study. Of the 178 patients, 72 (40%) were categorized as severe, including 50 (69%) males and 22 (31%) females. The remaining106 (60%) patients were categorized as non-severe, including 85 (80%) males and 21 (20%) females. Qualitative reverse transcription-polymerase chain reaction (RT-PCR) to detect the presence of SARS-CoV-2 RNA was used to confirm the diagnosis of each patient. The specific anti-SARS-CoV-2 S protein IgG, IgM, and IgA antibodies in patients’ sera were measured using enzyme-linked immunosorbent assay (ELISA) and compared between case presentations.

Results

The current study showed that all severe hospitalized patients presented significantly (p < 0.0001) increased anti-S IgG and IgM antibody accumulation compared with non-severe patients. Additionally, the results also showed that 50% of severe males were positive to anti-S IgG, IgM, and IgA antibodies, whereas only 40% positivity for all three-antibody isotypes was observed in severe females. The study also showed that 86% of males and 81% of females categorized as severe were positive for both IgG and IgM antibodies but negative for the IgA antibody against the S protein.

Conclusion

The humoral immune response against SARS-CoV-2 proteins commonly results in the production of antibodies against viral proteins. Specific anti-SARS-CoV-2 S protein IgG class antibodies were detected at significantly higher levels than IgM class antibodies, and both IgG and IgM antibodies were detected at significantly higher levels than the IgA antibody among all patients. The variations of the humoral immune responses among hospitalized patients reflect the association between disease presentations and immunity against the virus. Collectively, these findings afford new insights into the different antibody isotypes in responses to COVID-19 hospitalized patients with dissimilar disease severity.

The Initial Impact of the Coronavirus Disease 2019 Pandemic on ICU Family Engagement: Lessons Learned From a Collaborative of 27 ICUs

Supplemental Digital Content is available in the text.

Objectives:

To describe the impact of coronavirus disease 2019 on family engagement among ICUs participating in a multicenter collaborative promoting implementation of family-centered care projects and to report sites’ experiences with the collaborative itself prior to its cancelation due to the pandemic in March 2020.

Design:

Cross-sectional survey.

Setting:

Twenty-seven academic and community ICUs in the United States and South Korea.

Subjects:

Site leaders.

Interventions:

Prior to March 2020, all sites had participated in 6 months of webinars, monthly calls, and listserv communication to facilitate projects and to collect preimplementation family satisfaction and clinician perception data.

Measurements and Main Results:

Planned projects included ICU orientation initiatives (12, 44.4%), structured family care conferences (6, 22.2%), and ICU diaries (5, 18.5%). After cancelation of the collaborative, 22 site leaders (81.5%) were surveyed by phone from June 2020 to July 2020. Twenty (90.1%) reported having stopped their site project; projects that continued were 1) a standardized palliative extubation protocol and 2) daily written clinical summaries for families. Sites described significant variability in visitor restriction policies and uncertainty regarding future policy changes. Four sites (18.2%) reported that their hospital did not provide personal protective equipment to visitors. Regarding video conferencing with families, 11 sites (52.4%) reported clinicians’ using their own personal devices. Two-hundred twelve family surveys and 346 clinician surveys collected prior to cancelation highlighted a broad need for family support. When leaders were asked on a scale from 0 to 10 how helpful collaborative activities had been prior to cancelation, mean response was 8.0 (sd 2.5).

Conclusions:

While the collaborative model can help promote ICU family engagement initiatives, coronavirus disease 2019 has impeded implementation of these initiatives even among motivated units. ICUs need adequate personal protective equipment for visitors and video conferencing capabilities on hospital devices while strict visitor restrictions continue to evolve.

Noninvasive ventilation and high-flow oxygen therapy for severe community-acquired pneumonia

PURPOSE OF REVIEW

We review the evidence on the use of noninvasive respiratory supports (noninvasive ventilation and high-flow nasal cannula oxygen therapy) in patients with acute respiratory failure because of severe community-acquired pneumonia.

RECENT FINDINGS

Noninvasive ventilation is strongly advised for the treatment of hypercapnic respiratory failure and recent evidence justifies its use in patients with hypoxemic respiratory failure when delivered by helmet. Indeed, such interface allows alveolar recruitment by providing high level of positive end-expiratory pressure, which improves hypoxemia. On the other hand, high-flow nasal cannula oxygen therapy is effective in patients with hypoxemic respiratory failure and some articles support its use in patients with hypercapnia. However, early identification of noninvasive respiratory supports treatment failure is crucial to prevent delayed orotracheal intubation and protective invasive mechanical ventilation.

SUMMARY

Noninvasive ventilation is the first-line therapy in patients with acute hypercapnic respiratory failure because of pneumonia. Although an increasing amount of evidence investigated the application of noninvasive respiratory support to hypoxemic respiratory failure, the optimal ventilatory strategy in this setting is uncertain. Noninvasive mechanical ventilation delivered by helmet and high-flow nasal cannula oxygen therapy appear as promising tools but their role needs to be confirmed by future research.

IoT MEMS: IoT-Based Paradigm for Medical Equipment Management Systems of ICUs in Light of COVID-19 Outbreak

Recently, COVID-19 has infected a lot of people around the world. The healthcare systems are overwhelmed because of this virus. The intensive care unit (ICU) as a part of the healthcare sector has faced several challenges due to the poor information quality provided by current ICUs' medical equipment management. IoT has raised the ability for vital data transfer in the healthcare sector of the new century. However, most of the existing paradigms have adopted IoT technology to track patients' health statuses. Therefore, there is a lack of understanding on how to utilize such technology for ICUs' medical equipment management. This paper proposes a novel IoT-based paradigm called IoT Based Paradigm for Medical Equipment Management Systems (IoT MEMS) to manage medical equipment of ICUs efficiently. It employs IoT technology to enhance the information flow between medical equipment management systems (THIS) and ICUs during the COVID-19 outbreak to ensure the highest level of transparency and fairness in reallocating medical equipment. We described in detail the theoretical and practical aspects of IoT MEMS. Adopting IoT MEMS will enhance hospital capacity and capability in mitigating COVID-19 efficiently. It will also positively influence the information quality of (THIS) and strengthen trust and transparency among the stakeholders.

Construction and Performance Testing of a Fast-Assembly COVID-19 (FALCON) Emergency Ventilator in a Model of Normal and Low-Pulmonary Compliance Conditions

INTRODUCTION

The COVID-19 pandemic has revealed an immense, unmet and international need for available ventilators. Both clinical and engineering groups around the globe have responded through the development of "homemade" or do-it-yourself (DIY) ventilators. Several designs have been prototyped, tested, and shared over the internet. However, many open source DIY ventilators require extensive familiarity with microcontroller programming and electronics assembly, which many healthcare providers may lack. In light of this, we designed and bench tested a low-cost, pressure-controlled mechanical ventilator that is "plug and play" by design, where no end-user microcontroller programming is required. This Fast-AssembLy COVID-Nineteen (FALCON) emergency prototype ventilator can be rapidly assembled and could be readily modified and improved upon to potentially provide a ventilatory option when no other is present, especially in low- and middle-income countries.

HYPOTHESIS

We anticipated that a minimal component prototype ventilator could be easily assembled that could reproduce pressure/flow waveforms and tidal volumes similar to a hospital grade ventilator (Engström CarestationTM).

MATERIALS AND METHODS

We benched-tested our prototype ventilator using an artificial test lung under 36 test conditions with varying respiratory rates, peak inspiratory pressures (PIP), positive end expiratory pressures (PEEP), and artificial lung compliances. Pressure and flow waveforms were recorded, and tidal volumes calculated with prototype ventilator performance compared to a hospital-grade ventilator (Engström CarestationTM) under identical test conditions.

RESULTS

Pressure and flow waveforms produced by the prototype ventilator were highly similar to the CarestationTM. The ventilator generated consistent PIP/PEEP, with tidal volume ranges similar to the CarestationTM. The FALCON prototype was tested continuously for a 5-day period without failure or significant changes in delivered PIP/PEEP.

CONCLUSION

The FALCON prototype ventilator is an inexpensive and easily-assembled "plug and play" emergency ventilator design. The FALCON ventilator is currently a non-certified prototype that, following further appropriate validation and testing, might eventually be used as a life-saving emergency device in extraordinary circumstances when more sophisticated forms of ventilation are unavailable.

ENT trainees' experience of redeployment during the coronavirus disease 2019 pandemic: a qualitative study

Background

As a response to the acute strain placed on the National Health Service during the first wave of coronavirus disease 2019 in the UK, a number of junior doctors including ENT trainees were redeployed to other clinical specialties. This presented these trainees with novel challenges and opportunities.

Methods

A qualitative study was performed to explore these experiences, undertaking semi-structured interviews with ENT trainees between 17th and 30th July. Participants were recruited through purposeful sampling. Interview transcripts underwent thematic analysis using Dedoose software.

Results

Seven ENT trainees were interviewed, ranging from specialty trainee years four to eight (‘ST4’ to ‘ST8’) in grade. Six core themes were identified: organisation of redeployment, utilisation of skill set, emotional impact of redeployment, redeployed team dynamics, concerns about safety and impact on training.

Conclusion

The ENT trainees’ experiences of redeployment described highlight some important lessons and considerations for future redeployments.

COVID-19 Pandemic and the Cholecystitis Experience at a Major Urban Safety-Net Hospital

Background

Acute cholecystitis is a common reason for emergency general surgery admission. The declaration of the COVID-19 pandemic may have resulted in treatment delays and corresponding increases in severity of disease. This study compared cholecystitis admissions and disease severity pre- and postdeclaration of pandemic.

Materials and Methods

Retrospective review of adult acute cholecystitis admissions (January 1,2020-May 31, 2020). Corresponding time periods in 2018 and 2019 comprised the historical control. Difference-in-differences analysis compared biweekly cholecystitis admissions pre- and postdeclaration in 2020 to the historical control. Odds of increased severity of disease presentation were assessed using multivariable logistic regression.

Results

Cholecystitis admissions decreased 48.7% from 5.2 to 2.67 cases (RR 0.51 [0.28,0.96], P = 0.04) following pandemic declaration when comparing 2020 to historical control (P = 0.02). After stratifying by severity, only Tokyo I admissions declined significantly postdeclaration (RR 0.42 [0.18,0.97]), when compared to historical control (P = 0.02). There was no change in odds of presenting with severe disease after the pandemic declaration (aOR 1.00 [95% CI 0.30, 3.38] P < 0.99) despite significantly longer lengths of symptoms reported in mild cases.

Conclusions

Postpandemic declaration we experienced a significant decrease in cholecystitis admissions without corresponding increases in disease severity. The pandemic impacted healthcare-seeking behaviors, with fewer mild presentations. Given that the pandemic did not increase odds of presenting with increased severity of disease, our data suggests that not all mild cases of cholecystitis progress to worsening disease and some may resolve without medical or surgical intervention.

ICU Bed Utilization During the Coronavirus Disease 2019 Pandemic in a Multistate Analysis-March to June 2020

Objectives

Given finite ICU bed capacity, knowledge of ICU bed utilization during the coronavirus disease 2019 pandemic is critical to ensure future strategies for resource allocation and utilization. We sought to examine ICU census trends in relation to ICU bed capacity during the rapid increase in severe coronavirus disease 2019 cases early during the pandemic.

Design

Observational cohort study.

Setting

Thirteen geographically dispersed academic medical centers in the United States.

Patients/Subjects

We obtained daily ICU censuses from March 26 to June 30, 2020, as well as prepandemic ICU bed capacities. The primary outcome was daily census of ICU patients stratified by coronavirus disease 2019 and mechanical ventilation status in relation to ICU capacity.

Interventions

None.

Measurements and Main Results

Prepandemic overall ICU capacity ranged from 62 to 225 beds (median 109). During the study period, the median daily coronavirus disease 2019 ICU census per hospital ranged from 1 to 84 patients, and the daily ICU census exceeded overall ICU capacity for at least 1 day at five institutions. The number of critically ill patients exceeded ICU capacity for a median (interquartile range) of 17 (12-50) of 97 days at these five sites. All 13 institutions experienced decreases in their noncoronavirus disease ICU population, whereas local coronavirus disease 2019 cases increased. Coronavirus disease 2019 patients reached their greatest proportion of ICU capacity on April 12, 2020, when they accounted for 44% of ICU patients across all participating hospitals. Maximum ICU census ranged from 52% to 289% of overall ICU capacity, with three sites less than 80%, four sites 80-100%, five sites 100-128%, and one site 289%.

Conclusions

From March to June 2020, the coronavirus disease 2019 pandemic led to ICU censuses greater than ICU bed capacity at fives of 13 institutions evaluated. These findings demonstrate the short-term adaptability of U.S. healthcare institutions in redirecting limited resources to accommodate a public health emergency.

ABCDEF Bundle and Supportive ICU Practices for Patients With Coronavirus Disease 2019 Infection: An International Point Prevalence Study

Supplemental Digital Content is available in the text.

Objectives:

To investigate implementation of evidence-based and supportive cares in ICUs, such as the ABCDEF, nutrition therapy, and ICU diary, for patients with coronavirus disease 2019 infection in ICUs and their association with ICU clinical practice and setting.

Design:

A worldwide, 2-day point prevalence study.

Setting:

The study was carried out on June 3, 2020, and July 1, 2020. A total of 212 ICUs in 38 countries participated. Clinicians in each participating ICU completed web-based online surveys.

Patients:

The ICU patients with coronavirus disease 2019.

Interventions:

None.

Measurements and Main results:

The implementation rate for the elements of the ABCDEF bundle, other supportive ICU care measures, and implementation-associated structures were investigated. Data were collected for 262 patients, of whom 47.3% underwent mechanical ventilation and 4.6% were treated with extracorporeal membrane oxygenation. Each element was implemented for the following percentages of patients: elements A (regular pain assessment), 45%; B (both spontaneous awakening and breathing trials), 28%; C (regular sedation assessment), 52%; D (regular delirium assessment), 35%; E (early mobility and exercise), 47%; and F (family engagement and empowerment), 16%. The implementation of element E was 4% for patients on mechanical ventilation and 8% for patients on extracorporeal membrane oxygenation. Supportive care, such as protein provision throughout the ICU stay (under 1.2 g/kg for more than 50% of the patients) and introduction of ICU diary (25%), was infrequent. Implementation rates of elements A and D were higher in ICUs with specific protocols and fewer ICU beds exclusively for patients with coronavirus disease 2019 infection. Element E was implemented at a higher rate in ICUs that had more ICU beds assigned for them.

Conclusions:

This point prevalence study showed low implementation of the ABCDEF bundle. Specific protocols and the number of ICU beds reserved for patients with coronavirus disease 2019 infection might be key factors for delivering appropriate supportive care.

Long-term Survival of Critically Ill Patients Stratified According to Pandemic Triage Categories: A Retrospective Cohort Study

Background

The COVID-19 pandemic has led to unprecedented demand for ICUs, with the need to triage admissions along with the development of ICU triage criteria. However, how these criteria relate to outcomes in patients already admitted to the ICU is unknown, as is the incremental ICU capacity that triage of these patients might create given existing admission practices.

Research Question

What is the short- and long-term survival of low- vs high-priority patients for ICU admission according to current pandemic triage criteria?

Study Design and Methods

This study analyzed prospectively collected registry data (2007-2018) in 23 ICUs in Victoria, Australia, with probabilistic linkage with death registries. After excluding elective surgery, admissions were stratified according to existing ICU triage protocol prioritization as low (age ≥ 85 years, or severe chronic illness, or Sequential Organ Failure Assessment [SOFA] score = 0 or ≥ 12), medium (SOFA score = 8-11) or high (SOFA score = 1-7) priority. The primary outcome was long-term survival. Secondary outcomes were in-hospital mortality, ICU length of stay (LOS) and bed-day usage.

Results

This study examined 126,687 ICU admissions. After 5 years of follow-up, 1,093 of 3,296 (33%; 95% CI, 32-34) of “low-priority” patients aged ≥ 85 years or with severe chronic illness and 86 of 332 (26%; 95% CI, 24-28) with a SOFA score ≥ 12 were still alive. Sixty-three of 290 (22%; 95% CI, 17-27) of patients in these groups followed up for 10 years were still alive. Together, low-priority patients accounted for 27% of all ICU bed-days and had lower in-hospital mortality (22%) than the high-priority patients (28%). Among nonsurvivors, low-priority admissions had shorter ICU LOS than medium- or high-priority admissions.

Interpretation

Current SOFA score or age or severe comorbidity-based ICU pandemic triage protocols exclude patients with a close to 80% hospital survival, a > 30% five-year survival, and 27% of ICU bed-day use. These findings imply the need for stronger evidence-based ICU triage protocols.

Machine Learning-Based Prediction of COVID-19 Severity and Progression to Critical Illness Using CT Imaging and Clinical Data

Objective

To develop a machine learning (ML) pipeline based on radiomics to predict Coronavirus Disease 2019 (COVID-19) severity and the future deterioration to critical illness using CT and clinical variables.

Materials and Methods

Clinical data were collected from 981 patients from a multi-institutional international cohort with real-time polymerase chain reaction-confirmed COVID-19. Radiomics features were extracted from chest CT of the patients. The data of the cohort were randomly divided into training, validation, and test sets using a 7:1:2 ratio. A ML pipeline consisting of a model to predict severity and time-to-event model to predict progression to critical illness were trained on radiomics features and clinical variables. The receiver operating characteristic area under the curve (ROC-AUC), concordance index (C-index), and time-dependent ROC-AUC were calculated to determine model performance, which was compared with consensus CT severity scores obtained by visual interpretation by radiologists.

Results

Among 981 patients with confirmed COVID-19, 274 patients developed critical illness. Radiomics features and clinical variables resulted in the best performance for the prediction of disease severity with a highest test ROC-AUC of 0.76 compared with 0.70 (0.76 vs. 0.70, p = 0.023) for visual CT severity score and clinical variables. The progression prediction model achieved a test C-index of 0.868 when it was based on the combination of CT radiomics and clinical variables compared with 0.767 when based on CT radiomics features alone (p < 0.001), 0.847 when based on clinical variables alone (p = 0.110), and 0.860 when based on the combination of visual CT severity scores and clinical variables (p = 0.549). Furthermore, the model based on the combination of CT radiomics and clinical variables achieved time-dependent ROC-AUCs of 0.897, 0.933, and 0.927 for the prediction of progression risks at 3, 5 and 7 days, respectively.

Conclusion

CT radiomics features combined with clinical variables were predictive of COVID-19 severity and progression to critical illness with fairly high accuracy.

Collaboration Between Tele-ICU Programs Has the Potential to Rapidly Increase the Availability of Critical Care Physicians-Our Experience Was During Coronavirus Disease 2019 Nomenclature

Objectives:

Implement a connected network between two Tele-ICU programs to support staffing and rounding during the first wave of the coronavirus disease 2019 pandemic in the United States.

Design:

Proof of Concept model.

Setting:

Northwell Health; a 23 Hospital, 40 ICU (500 ICU beds) healthcare organization serving the downstate NY area. During the initial coronavirus disease 2019 pandemic, Northwell Health rapidly expanded to greater than 1,000 ICU beds. The surge in patients required redeployment of noncritical care providers to the ICU bedside. The Tele-ICU program expanded from covering 176 beds pre pandemic to assisting with care for patients in approximately 450 beds via deployment of Wi-Fi-enabled mobile telehealth carts to the newly formed ICUs.

Patients:

Critically ill coronavirus disease 2019 patients hospitalized at Northwell Health, NY, at any point from March 2020 to June 2020.

Interventions:

To offset the shortage of critical care physicians, Northwell Health established a collaboration with the Tele-ICU program of Providence, St. Joseph Health in the state of Washington, which enabled the critical care physicians of Providence, St. Joseph Health to participate in virtual rounding on critically ill coronavirus disease 2019 patients at Northwell Health.

Main Results:

We developed an innovative hybrid model that allowed for virtual rounding on an additional 40–60 patients per day by a remote critical care physician at Providence, St. Joseph Health. This was accomplished in approximately 3 weeks and provided remote care to complex patients.

Conclusions:

Our findings demonstrate the proof of concept of establishing a network of connected Tele-ICU programs as a rapidly scalable and sustainable paradigm for the provision of support from critical care physicians for noncritical care teams at the bedside.