Surging ICU during COVID-19 pandemic: an overview

Association of Area Deprivation Index With Mortality in Critically Ill Adults With COVID-19

BACKGROUND

Various social determinants of health have been established as significant risk factors for COVID-19 transmission, prevalence, incidence, and mortality. Area deprivation index (ADI, a composite score made up of educational, housing, and poverty markers) is an accepted multidimensional social determinants of health measure. Little is known about how structural social determinants of health before hospitalization, including ADI, may affect mortality related to COVID-19 in critically ill patients.

OBJECTIVES

To examine the association of ADI with intensive care unit (ICU) mortality in patients with COVID-19 and compare its predictive power with that of clinical factors.

METHODS

This was a retrospective cohort study of critically ill adults with COVID-19 in 3 hospitals within a single health system. Multivariable logistic regression models (adjusted for demographic and clinical variables) were used to examine the association of ADI with ICU mortality.

RESULTS

Data from 1784 patients hospitalized from 2020 to 2022 were analyzed. In multivariable models, no association was found between national ADI and ICU mortality. Notable factors associated with ICU mortality included treatment year, age, van Walraven weighted score, invasive mechanical ventilation, and body mass index.

CONCLUSION

In this study, clinical factors were more predictive of mortality than ADI and other social determinants of health. The influence of ADI may be most relevant before hospital admission. These findings could serve as a foundation for shaping targeted public health strategies and hospital interventions, enhancing care delivery, and potentially contributing to better outcomes in future pandemics.

Picturing Empathy in the Intensive Care Unit: Patient Photographs at an Urban Community Teaching Hospital

BACKGROUND

Intensive care unit (ICU) clinicians are at risk for burnout, which can be driven by depersonalization. Photographs of patients in their baseline state of health before ICU admission may enhance the connection between clinicians and patients. The use of patient photographs has not been evaluated in an urban community teaching hospital.

OBJECTIVE

To evaluate whether an interprofessional group of clinicians perceive that patient photographs in the ICU help them connect with patients and enhance empathy.

METHODS

A prospective observational quality improvement study was performed in the medical ICU of an urban community teaching hospital. Patients' families could display patients' photographs in the unit. Registered nurses, physicians, respiratory therapists, and patient care associates completed anonymous surveys.

RESULTS

Families of 21 patients provided photographs; 82 clinicians (47 physicians, 25 nurses, 5 respiratory therapists, and 5 patient care associates) completed surveys. Most clinicians (83%) agreed that the patient's personality and character were emphasized by photographs, 77% agreed that photographs facilitated communication with the patient and/or family, 89% agreed that patient photographs helped them relate to the patient as an individual, and 76% were not upset by comparing the photograph with the patient. Responses did not significantly differ by clinician type. Survey comments highlighted themes of humanization, fulfillment, and hope.

CONCLUSION

Patient photographs may enhance connections between clinicians and patients in the ICU, potentially reducing depersonalization and burnout.

Consensus statements for the establishment of medical intensive care in low-resource settings: international study using modified Delphi methodology

BACKGROUND

The inadequacy of intensive care medicine in low-resource settings (LRS) has become significantly more visible after the COVID-19 pandemic. Recommendations for establishing medical critical care are scarce and rarely include expert clinicians from LRS.

METHODS

In December 2023, the National Association of Intensivists from Bosnia and Herzegovina organized a hybrid international conference on the topic of organizational structure of medical critical care in LRS. The conference proceedings and literature review informed expert statements across several domains. Following the conference, the statements were distributed via an online survey to conference participants and their wider professional network using a modified Delphi methodology. An agreement of ≥ 80% was required to reach a consensus on a statement.

RESULTS

Out of the 48 invited clinicians, 43 agreed to participate. The study participants came from 20 countries and included clinician representatives from different base specialties and health authorities. After the two rounds, consensus was reached for 13 out of 16 statements across 3 domains: organizational structure, staffing, and education. The participants favored multispecialty medical intensive care units run by a medical team with formal intensive care training. Recognition and support by health care authorities was deemed critical and the panel underscored the important roles of professional organizations, clinician educators trained in high-income countries, and novel technologies such as tele-medicine and tele-education.

CONCLUSION

Delphi process identified a set of consensus-based statements on how to create a sustainable patient-centered medical intensive care in LRS.

e-Prescribing, Charting, and Documentation for Continuous Renal Replacement Therapy: A Green Intensive Care Unit and Nephrology Initiative

BACKGROUND

Patient care informatics are becoming more advanced with digital capacity and server functionality. The intensive care unit (ICU) is becoming paperless for prescribing, charting, and monitoring care. A further challenge is to include all life sustaining therapies in this digital space. Digital modules and options may be available; however, continuous renal replacement therapies (CRRTs) often require custom design for many nuances. Associated with the COVID pandemic and a surge in the paperless and "green" ICU bedside, we gathered a team to design, develop, and implement a CRRT orders, charting-documentation, and monitoring functionality into our existing Cerner (ORACLE Corp., Austin, Texas, USA) software.

KEY MESSAGES

This included new approaches to the two-dimensional paper documents used prior and a live dashboard with new metrics and data. The design linked to other relevant CRRT pages such as the master patient fluid balance, pathology results, and medication prescribing. The primary views and function are role-related for medical, nursing, and pharmacy with specific and sensitive input. Following the build and implementation, initial evaluation was positive and led to an audit trail or e-history for prescribers use and provision for concurrent therapies. Clinicians use this digital ordering differently with live data available for "handover" and case discussion. There is scope for research and further links to devices such as personal phones and via an app.

SUMMARY

This experience may assist CRRT users design and develop similar prescribing, charting, and monitoring bedside computer opportunities in the desire for digital and green nephrology in the ICU.

Impact of healthcare system strain on the implementation of ICU sedation practices and encephalopathy burden during the early COVID-19 pandemic

The COVID-19 pandemic posed unprecedented challenges to healthcare systems worldwide, particularly in managing critically ill patients requiring mechanical ventilation early in the pandemic. Surging patient volumes strained hospital resources and complicated the implementation of standard-of-care intensive care unit (ICU) practices, including sedation management. The objective of this study was to evaluate the impact of an evidence-based ICU sedation bundle during the early COVID-19 pandemic. The bundle was designed by a multi-disciplinary collaborative to reinforce best clinical practices related to ICU sedation. The bundle was implemented prospectively with retrospective analysis of electronic medical record data. The setting was the ICUs of a single-center tertiary hospital. The patients were the ICU patients requiring mechanical ventilation for confirmed COVID-19 between March and June 2020. A learning health collaborative developed a sedation bundle encouraging goal-directed sedation and use of adjunctive strategies to avoid excessive sedative administration. Implementation strategies included structured in-service training, audit and feedback, and continuous improvement. Sedative utilization and clinical outcomes were compared between patients admitted before and after the sedation bundle implementation. Quasi-experimental interrupted time-series analyses of pre and post intervention sedative utilization, hospital length of stay, and number of days free of delirium, coma, or death in 21 days (as a quantitative measure of encephalopathy burden). The analysis used the time duration between start of the COVID-19 wave and ICU admission to identify a "breakpoint" indicating a change in observed trends. A total of 183 patients (age 59.0 ± 15.9 years) were included, with 83 (45%) admitted before the intervention began. Benzodiazepine utilization increased for patients admitted after the bundle implementation, while agents intended to reduce benzodiazepine use showed no greater utilization. No "breakpoint" was identified to suggest the bundle impacted any endpoint measure. However, increasing time between COVID-19 wave start and ICU admission was associated with fewer delirium, coma, and death-free days (β =  - 0.044 [95% CI - 0.085, - 0.003] days/wave day); more days of benzodiazepine infusion (β = 0.056 [95% CI 0.025, 0.088] days/wave day); and a higher maximum benzodiazepine infusion rate (β = 0.079 [95% CI 0.037, 0.120] mg/h/wave day). The evidence-based practice bundle did not significantly alter sedation utilization patterns during the first COVID-19 wave. Sedation practices deteriorated and encephalopathy burden increased over time, highlighting that strategies to reinforce clinical practices may be hindered under conditions of extreme healthcare system strain.

The Impact of Coronavirus Disease 2019 on Nursing Education: Evidence, Experience, and Lessons Learned

This article examines the multifaceted impact of the coronavirus disease 2019 pandemic on nursing education, with a focus on implications for critical care. Issues including the rapid transition to remote learning, stress and burnout, disengagement, challenges in clinical education, ethical dilemmas, and the influence of workforce dynamics on nursing education are discussed. The article explores challenges, opportunities, and the invaluable lessons learned from this unprecedented crisis. Understanding the evolving dynamics is essential for nursing education and practice, offering a pathway toward a more resilient and promising future for both individuals and the nursing profession as a whole.

Derivation and external validation of predictive models for invasive mechanical ventilation in intensive care unit patients with COVID-19

BACKGROUND

This study aimed to develop prognostic models for predicting the need for invasive mechanical ventilation (IMV) in intensive care unit (ICU) patients with COVID-19 and compare their performance with the Respiratory rate-OXygenation (ROX) index.

METHODS

A retrospective cohort study was conducted using data collected between March 2020 and August 2021 at three hospitals in Rio de Janeiro, Brazil. ICU patients aged 18 years and older with a diagnosis of COVID-19 were screened. The exclusion criteria were patients who received IMV within the first 24 h of ICU admission, pregnancy, clinical decision for minimal end-of-life care and missing primary outcome data. Clinical and laboratory variables were collected. Multiple logistic regression analysis was performed to select predictor variables. Models were based on the lowest Akaike Information Criteria (AIC) and lowest AIC with significant p values. Assessment of predictive performance was done for discrimination and calibration. Areas under the curves (AUC)s were compared using DeLong's algorithm. Models were validated externally using an international database.

RESULTS

Of 656 patients screened, 346 patients were included; 155 required IMV (44.8%), 191 did not (55.2%), and 207 patients were male (59.8%). According to the lowest AIC, arterial hypertension, diabetes mellitus, obesity, Sequential Organ Failure Assessment (SOFA) score, heart rate, respiratory rate, peripheral oxygen saturation (SpO2), temperature, respiratory effort signals, and leukocytes were identified as predictors of IMV at hospital admission. According to AIC with significant p values, SOFA score, SpO2, and respiratory effort signals were the best predictors of IMV; odds ratios (95% confidence interval): 1.46 (1.07-2.05), 0.81 (0.72-0.90), 9.13 (3.29-28.67), respectively. The ROX index at admission was lower in the IMV group than in the non-IMV group (7.3 [5.2-9.8] versus 9.6 [6.8-12.9], p < 0.001, respectively). In the external validation population, the area under the curve (AUC) of the ROX index was 0.683 (accuracy 63%), the AIC model showed an AUC of 0.703 (accuracy 69%), and the lowest AIC model with significant p values had an AUC of 0.725 (accuracy 79%).

CONCLUSIONS

In the development population of ICU patients with COVID-19, SOFA score, SpO2, and respiratory effort signals predicted the need for IMV better than the ROX index. In the external validation population, although the AUCs did not differ significantly, the accuracy was higher when using SOFA score, SpO2, and respiratory effort signals compared to the ROX index. This suggests that these variables may be more useful in predicting the need for IMV in ICU patients with COVID-19.

CLINICALTRIALS

GOV IDENTIFIER

NCT05663528.

Evaluating accuracy and fairness of clinical decision support algorithms when health care resources are limited

OBJECTIVE

Guidance on how to evaluate accuracy and algorithmic fairness across subgroups is missing for clinical models that flag patients for an intervention but when health care resources to administer that intervention are limited. We aimed to propose a framework of metrics that would fit this specific use case.

METHODS

We evaluated the following metrics and applied them to a Veterans Health Administration clinical model that flags patients for intervention who are at risk of overdose or a suicidal event among outpatients who were prescribed opioids (N = 405,817): Receiver - Operating Characteristic and area under the curve, precision - recall curve, calibration - reliability curve, false positive rate, false negative rate, and false omission rate. In addition, we developed a new approach to visualize false positives and false negatives that we named 'per true positive bars.' We demonstrate the utility of these metrics to our use case for three cohorts of patients at the highest risk (top 0.5 %, 1.0 %, and 5.0 %) by evaluating algorithmic fairness across the following age groups: <=30, 31-50, 51-65, and >65 years old.

RESULTS

Metrics that allowed us to assess group differences more clearly were the false positive rate, false negative rate, false omission rate, and the new 'per true positive bars'. Metrics with limited utility to our use case were the Receiver - Operating Characteristic and area under the curve, the calibration - reliability curve, and the precision - recall curve.

CONCLUSION

There is no "one size fits all" approach to model performance monitoring and bias analysis. Our work informs future researchers and clinicians who seek to evaluate accuracy and fairness of predictive models that identify patients to intervene on in the context of limited health care resources. In terms of ease of interpretation and utility for our use case, the new 'per true positive bars' may be the most intuitive to a range of stakeholders and facilitates choosing a threshold that allows weighing false positives against false negatives, which is especially important when predicting severe adverse events.

High-flow nasal oxygen therapy compared with conventional oxygen therapy in hospitalised patients with respiratory illness: a systematic review and meta-analysis

BACKGROUND

High-flow nasal oxygen therapy (HFNO) is used in diverse hospital settings to treat patients with acute respiratory failure (ARF). This systematic review aims to summarise the evidence regarding any benefits HFNO therapy has compared with conventional oxygen therapy (COT) for patients with ARF.

METHODS

Three databases (Embase, Medline and CENTRAL) were searched on 22 March 2023 for studies evaluating HFNO compared with COT for the treatment of ARF, with the primary outcome being hospital mortality and secondary outcomes including (but not limited to) escalation to invasive mechanical ventilation (IMV) or non-invasive ventilation (NIV). Risk of bias was assessed using the Cochrane risk-of-bias tool (randomised controlled trials (RCTs)), ROBINS-I (non-randomised trials) or Newcastle-Ottawa Scale (observational studies). RCTs and observational studies were pooled together for primary analyses, and secondary analyses used RCT data only. Treatment effects were pooled using the random effects model.

RESULTS

63 studies (26 RCTs, 13 cross-over and 24 observational studies) were included, with 10 230 participants. There was no significant difference in the primary outcome of hospital mortality (risk ratio, RR 1.08, 95% CI 0.93 to 1.26; p=0.29; 17 studies, n=5887) between HFNO and COT for all causes ARF. However, compared with COT, HFNO significantly reduced the overall need for escalation to IMV (RR 0.85, 95% CI 0.76 to 0.95 p=0.003; 39 studies, n=8932); and overall need for escalation to NIV (RR 0.70, 95% CI 0.50 to 0.98; p=0.04; 16 studies, n=3076). In subgroup analyses, when considering patients by illness types, those with acute-on-chronic respiratory failure who received HFNO compared with COT had a significant reduction in-hospital mortality (RR 0.58, 95% CI 0.37 to 0.91; p=0.02).

DISCUSSION

HFNO was superior to COT in reducing the need for escalation to both IMV and NIV but had no impact on the primary outcome of hospital mortality. These findings support recommendations that HFNO may be considered as first-line therapy for ARF.

PROSPERO REGISTRATION NUMBER

CRD42021264837.

Analysis of prognostic factors in critically ill patients with COVID-19

The Coronavirus Disease 2019 (COVID-19) has caused a global health crisis. Mortality predictors in critically ill patients remain under investigation. A retrospective cohort study included 201 patients admitted to the intensive care unit (ICU) due to COVID-19. Data on demographic characteristics, laboratory findings, and mortality were collected. Logistic regression analysis was conducted with various independent variables, including demographic characteristics, clinical factors, and treatment methods. The study aimed to identify key risk factors associated with mortality in an ICU. In an investigation of 201 patients comprising non-survivors (n = 80, 40%) and Survivors (n = 121, 60%), we identified several markers significantly associated with ICU mortality. Lower Interleukin 6 and White Blood Cells levels at both 24- and 48-hours post-ICU admission emerged as significant indicators of survival. The study employed logistic regression analysis to evaluate risk factors for in-ICU mortality. Analysis results revealed that demographic and clinical factors, including gender, age, and comorbidities, were not significant predictors of in-ICU mortality. Ventilator-associated pneumonia was significantly higher in Survivors, and the use of antibiotics showed a significant association with increased mortality risk in the multivariate model (OR: 11.2, p = 0.031). Our study underscores the significance of monitoring Il-6 and WBC levels within 48 hours of ICU admission, potentially influencing COVID-19 patient outcomes. These insights may reshape therapeutic strategies and ICU protocols for critically ill patients.

Comparison of factors influencing the decision to withdraw life-sustaining treatment in intensive care unit patients after implementation of the Life-Sustaining Treatment Act in Korea

BACKGROUND

The decision to discontinue intensive care unit (ICU) treatment during the end-oflife stage has recently become a significant concern in Korea, with an observed increase in life-sustaining treatment (LST) withdrawal. There is a growing demand for evidence-based support for patients, families, and clinicians in making LST decisions. This study aimed to identify factors influencing LST decisions in ICU inpatients and to analyze their impact on healthcare utilization.

METHODS

We retrospectively reviewed medical records of ICU patients with neurological disorders, infectious disorders, or cancer who were treated at a single university hospital between January 1, 2019 and July 7, 2021. Factors influencing the decision to withdraw LST were compared between those who withdrew LST and those who did not.

RESULTS

Among 54,699 hospital admissions, LST was withdrawn in 550 cases (1%). Cancer was the most common diagnosis, followed by pneumonia and cerebral infarction. Among ICU inpatients, LST was withdrawn from 215 (withdrawal group). The withdrawal group was older (78 vs. 75 years, P=0.002), had longer total hospital stays (16 vs. 11 days, P<0.001), and higher ICU readmission rates than the control group. There were no significant differences in the healthcare costs of ICU stay between the two groups. Most LST decisions (86%) were made by family.

CONCLUSIONS

The decisions to withdraw LST of ICU inpatients were influenced by age, readmission, and disease category. ICU costs were similar between the withdrawal and control groups. Further research is needed to tailor LST decisions in the ICU.

The chain of survival and rehabilitation for sepsis: concepts and proposals for healthcare trajectory optimization

This article describes the structures and processes involved in healthcare delivery for sepsis, from the prehospital setting until rehabilitation. Quality improvement initiatives in sepsis may reduce both morbidity and mortality. Positive outcomes are more likely when the following steps are optimized: early recognition, severity assessment, prehospital emergency medical system activation when available, early therapy (antimicrobials and hemodynamic optimization), early orientation to an adequate facility (emergency room, operating theater or intensive care unit), in-hospital organ failure resuscitation associated with source control, and finally a comprehensive rehabilitation program. Such a trajectory of care dedicated to sepsis amounts to a chain of survival and rehabilitation for sepsis. Implementation of this chain of survival and rehabilitation for sepsis requires full interconnection between each link. To date, despite regular international recommendations updates, the adherence to sepsis guidelines remains low leading to a considerable burden of the disease. Developing and optimizing such an integrated network could significantly reduce sepsis related mortality and morbidity.

Impact of the early phase of the COVID-19 pandemic on emergency department-to-intensive care unit admissions in Korea: an interrupted time-series analysis

BACKGROUND

The coronavirus disease 2019 (COVID-19) pandemic resulted in significant disruptions to critical care systems globally. However, research on the impact of the COVID-19 pandemic on intensive care unit (ICU) admissions via the emergency department (ED) is limited. Therefore, this study evaluated the changes in the number of ED-to-ICU admissions and clinical outcomes in the periods before and during the pandemic.

METHODS

We identified all adult patients admitted to the ICU through level 1 or 2 EDs in Korea between February 2018 and January 2021. February 2020 was considered the onset point of the COVID-19 pandemic. The monthly changes in the number of ED-to-ICU admissions and the in-hospital mortality rates before and during the COVID-19 pandemic were evaluated using interrupted time-series analysis.

RESULTS

Among the 555,793 adult ED-to-ICU admissions, the number of ED-to-ICU admissions during the pandemic decreased compared to that before the pandemic (step change, 0.916; 95% confidence interval [CI] 0.869-0.966], although the trend did not attain statistical significance (slope change, 0.997; 95% CI 0.991-1.003). The proportion of patients who arrived by emergency medical services, those transferred from other hospitals, and those with injuries declined significantly among the number of ED-to-ICU admissions during the pandemic. The proportion of in-hospital deaths significantly increased during the pandemic (step change, 1.054; 95% CI 1.003-1.108); however, the trend did not attain statistical significance (slope change, 1.001; 95% CI 0.996-1.007). Mortality rates in patients with an ED length of stay of ≥ 6 h until admission to the ICU rose abruptly following the onset of the pandemic (step change, 1.169; 95% CI 1.021-1.339).

CONCLUSIONS

The COVID-19 pandemic significantly affected ED-to-ICU admission and in-hospital mortality rates in Korea. This study's findings have important implications for healthcare providers and policymakers planning the management of future outbreaks of infectious diseases. Strategies are needed to address the challenges posed by pandemics and improve the outcomes in critically ill patients.

Increasing severity of medical outcomes and associated substances in cases reported to United States poison centers

INTRODUCTION

Poison centers provide free expert recommendations on the treatment of a wide variety of toxicological emergencies. Prior studies have called attention to the increasing complexity of cases reported to poison centers. We aimed first, to evaluate the trends in medical outcome severity, over a 15-year period in both the adult and pediatric populations. Second, we described the most frequently reported substances associated with major effect or death.

METHODS

This is a retrospective review of exposures reported to the National Poison Data System from 1 January 2007 through 31 December 2021. All closed cases, for human exposures, reported during the study period were included. We assessed trends in frequencies and rates of medical outcomes and level of care received, among the adult (age greater than 19 years) and pediatric (age 19 years and younger) populations by reason for exposure.

RESULTS

During the study period, the number of adult unintentional exposures resulting in major effect (37.4 percent) and death (65.3 percent) increased. The number of adult intentional exposures resulting in death increased by 233.9 percent and those resulting in a major effect increased by 133.1 percent. The rates of exposures resulting in major effect and death increased among both intentional and unintentional adult exposures. The number of pediatric unintentional exposures resulting in a major effect increased by 76.6 percent and the number of pediatric intentional exposures resulting in death and major effect increased by 122.7 and 190.1 percent, respectively. Moderate, major effect, and death rates increased in pediatric unintentional exposures and moderate and major effect rates increased in pediatric intentional exposures.

CONCLUSIONS

We found a worsening severity of medical outcomes in adult and pediatric cases reported to poison centers. Poison centers are increasingly managing complex cases. Monitoring trends in which substances are associated with severe outcomes is imperative for future strategic prevention efforts.

The Impact of Implementation of Palliative, Non-Operative Management on Mortality of Operatively Treated Geriatric Hip Fracture Patients: A Retrospective Cohort Study

(1) Background: Hip fracture patients with very limited life expectancy can opt for non-operative management (NOM) within a palliative care context. The implementation of NOM in the palliative context may affect the mortality of the operatively treated population. This retrospective cohort study aimed to determine whether the operatively treated geriatric hip fracture population would have a lower in-hospital mortality rate and fewer postoperative complications after the introduction of NOM within a palliative care context for patients with very limited life expectancy. (2) Methods: Data from 1 February 2019 to 1 February 2022 of patients aged 70 years or older were analyzed to give a comparison between patients before and after implementation of NOM within a palliative care context. (3) Results: Comparison between 550 patients before and 485 patients after implementation showed no significant difference in in-hospital or 1-year mortality rates (2.9% vs. 1.4%, p = 0.139; 22.4% vs. 20.2%, p = 0.404, respectively). Notably, post-implementation, fewer patients had prior dementia diagnoses (15% vs. 21%, p = 0.010), and intensive care unit admissions decreased (3.5% vs. 1.2%, p = 0.025). (4) Conclusions: The implementation of NOM within a palliative care context did not significantly reduce mortality or complications. However, NOM within palliative care is deemed a more patient-centered approach for geriatric hip fracture patients with very limited life expectancy.

Critical care bed capacity in Asian countries and regions before and during the COVID-19 pandemic: an observational study

Background

The coronavirus disease 2019 (COVID-19) pandemic highlighted the importance of critical care. The aim of the current study was to compare the number of adult critical care beds in relation to population size in Asian countries and regions before (2017) and during (2022) the pandemic.

Methods

This observational study collected data closest to 2022 on critical care beds (intensive care units and intermediate care units) in 12 middle-income and 7 high-income economies (using the 2022-2023 World Bank classification), through a mix of methods including government sources, national critical care societies, personal contacts, and data extrapolation. Data were compared with a prior study from 2017 of the same countries and regions.

Findings

The cumulative number of critical care beds per 100,000 population increased from 3.0 in 2017 to 9.4 in 2022 (p = 0.003). The median figure for middle-income economies increased from 2.6 (interquartile range [IQR] 1.7-7.8) to 6.6 (IQR 2.2-13.3), and that for high-income economies increased from 11.4 (IQR 7.3-22.8) to 13.9 (IQR 10.7-21.7). Only 3 countries did not see a rise in bed capacity. Where data were available in 2022, 10.9% of critical care beds were in single rooms (median 5.0% in middle-income and 20.3% in high-income economies), and 5.3% had negative pressure (median 0.7% in middle-income and 18.5% in high-income economies).

Interpretation

Critical care bed capacity in the studied Asian countries and regions increased close to three-fold from 2017 to 2022. Much of this increase was attributed to middle-income economies, but substantial heterogeneity exists.

Funding

None.

Optimal Timing of Tracheostomy in the Setting of COVID-19 and Associated Pneumothorax

Introduction At the beginning of the 2020 pandemic, no criteria were in place regarding the timing of tracheostomy placement in intubated COVID-19 patients, nor were there any data pertaining to pneumothorax incidence in this population. This study examines the timing of tracheostomy placement and its correlation with patient outcomes, along with pneumothorax incidence in COVID-19 patients who underwent a tracheostomy.  Methods We performed a multi-institutional retrospective study of intubated COVID-19 patients admitted to intensive care units (ICUs) in North and South Dakota between April 2020 and December 2020. The timing of the tracheostomy was assessed, with primary outcomes being mortality, successful ventilator weaning, discharge to a long-term care facility, and overall length of stay. Patients were grouped by age, gender, ethnicity, and comorbidities. Pre- and post-tracheostomy pneumothorax was extracted from this dataset. Results We identified 85 patients who were intubated with COVID-19 and underwent a tracheostomy. The timing of tracheostomy varied widely, ranging from five to 53 days with an average time to tracheostomy being 17.3 days. Thirty-four of the patients expired, 32 patients were discharged to a long-term care hospital (LTCH), and 11 patients were discharged to an inpatient rehabilitation facility. Only three patients were discharged home. Regression analysis did not reveal statistically significant differences between patients who survived (N = 51) and patients who expired (N = 34) for almost all variables analyzed. Sixteen of the 85 patients were diagnosed with pneumothorax during their hospital stay. Half of these patients were diagnosed after a tracheostomy was placed. Conclusion This study did not demonstrate statistically significant differences in overall mortality or incidence of pneumothorax when it pertains to the timing of placement of tracheostomy. Variation in mortality was identified, in which younger patients were more likely to survive than older patients, a finding that was echoed in other studies. Considering this evidence, we cannot conclude that an association between the timing of tracheostomy and mortality from COVID-19; therefore, tracheostomy in the setting of COVID-19 can be performed at the provider's discretion.

Post-COVID-19 pandemic organ donation activities in Germany: a multicenter retrospective analysis

Introduction

The COVID-19 pandemic had a negative impact on the number of solid organ transplantations. After a global decline of 16% in 2020, their numbers subsequently returned to pre-pandemic levels. In contrast, numbers in Germany remained almost constant in 2020 and 2021 but fell by 6.9% in 2022. The reasons for this divergent development are unknown.

Methods

The number of deceased with a severe brain damage, potential and utilized donors after braindeath and the intensive care unit treatment capacity were retrospectively compared for the years 2022 and 2021 at five university hospitals in North Rhine-Westphalia, Germany. Reasons for a donation not utilized were reviewed. To enable a comparison of the results with the whole of Germany and the pre-pandemic period, numbers of potential and utilized donors were extracted from official organ donation activity reports of all harvesting hospitals in Germany for the years 2019-2022.

Results

The numbers of deceased with a severe brain damage (-10%), potential (-9%), and utilized donors after braindeath (-44%), and intensive care unit treatment capacities (-7.2%) were significantly lower in 2022 than 2021. A COVID-19 infection was a rarer (-79%), but donor instability (+44%) a more frequent reason against donation in 2022, whereas preserved brain stem reflexes remained the most frequent reason in both years (54%). Overall numbers of potential and utilized donations in Germany were lower in 2022 than in the pre-pandemic period, but this was mainly due to lower numbers in hospitals of lower care. The number of potential donors in all university hospitals were higher in 2022 but utilized donations still lower than in 2019.

Conclusion

The decrease in potential and utilized donations was a result of reduced intensive care unit treatment capacities and a lower conversion rate at the five university hospitals. A COVID-19 infection did not play a role in 2022. These results indicate that ICU treatment capacities must be restored to increase donations. The lower number of potential donors and the even lower conversion rate in 2022 throughout Germany show that restructuring the organ procurement process in Germany needs to be discussed to increase the number of donations.

Mortality Trend of Severe COVID-19 in Under-Vaccinated Population Admitted to ICU in French Amazonia

(1) Background: Until December 2021, French Guiana (FG), located in South America, faced four consecutive COVID-19 epidemic waves. This study sought to analyze the mortality trend of severe COVID-19 patients admitted to the referral ICU of FG. (2) Methods: We conducted a prospective, observational, and non-interventional study in ICU at Cayenne Hospital. We included 383 patients older than 18 admitted with SARS-CoV-2-related pneumonia hospitalized from May 2020 to December 2021. The study covers three periods. Period 1 (Waves 1 and 2, original variant), period 2 (Wave 3, Gamma variant), and period 3 (Wave 4, Delta variant). (3) Results: The median age was 63 years (52-70). Frailty was diagnosed in 36 patients over 70 (32.4%). Only 4.8% of patients were vaccinated. The median ICU LOS was 10 days (6-19). Hospital mortality was 37.3%. It was 30.9% in period 1, 36.6% in period 2 (p = 0.329 vs. period 1), and 47.1% in period 3 (0.015 vs. period 1). In multivariate analysis, independent factors associated with hospital mortality included age greater than 40 years (]40-60 years] OR = 5.2, 95%CI: 1.4-19.5; (]60-70 years] OR = 8.5, 95%CI: 2.2-32; (]70+ years] OR = 17.9, 95%CI: 4.5-70.9), frailty (OR = 5.6, 95%CI: 2.2-17.2), immunosuppression (OR = 2.6, 95%CI: 1.05-6.7), and MV use (OR = 11, 95%CI: 6.1-19.9). This model had an overall sensitivity of 72%, a specificity of 80.4%, a positive predictive value of 68.7%, and a negative predictive value of 82.8%. (4) Conclusions: The mortality of severe COVID-19 patients in French Amazonia was higher during the Delta variant wave. This over-death could be explained by the virulence of the responsible SARS-CoV-2 variant and the under-vaccination coverage of the studied population.

Core Warming of Coronavirus Disease 2019 Patients Undergoing Mechanical Ventilation: A Pilot Study

Fever is a recognized protective factor in patients with sepsis, and growing data suggest beneficial effects on outcomes in sepsis with elevated temperature, with a recent pilot randomized controlled trial (RCT) showing lower mortality by warming afebrile sepsis patients in the intensive care unit (ICU). The objective of this prospective single-site RCT was to determine if core warming improves respiratory physiology of mechanically ventilated patients with coronavirus disease 2019 (COVID-19), allowing earlier weaning from ventilation, and greater overall survival. A total of 19 patients with mean age of 60.5 (±12.5) years, 37% female, mean weight 95.1 (±18.6) kg, and mean body mass index 34.5 (±5.9) kg/m2 with COVID-19 requiring mechanical ventilation were enrolled from September 2020 to February 2022. Patients were randomized 1:1 to standard of care or to receive core warming for 72 hours through an esophageal heat exchanger commonly utilized in critical care and surgical patients. The maximum target temperature was 39.8°C. A total of 10 patients received usual care and 9 patients received esophageal core warming. After 72 hours of warming, the ratio of arterial oxygen partial pressure to fractional inspired oxygen (PaO2/FiO2) ratios were 197 (±32) and 134 (±13.4), cycle thresholds were 30.8 (±6.4) and 31.4 (±3.2), ICU mortalities were 40% and 44%, 30-day mortalities were 30% and 22%, and mean 30-day ventilator-free days were 11.9 (±12.6) and 6.8 (±10.2) for standard of care and warmed patients, respectively (p = NS). This pilot study suggests that core warming of patients with COVID-19 undergoing mechanical ventilation is feasible and appears safe. Optimizing time to achieve febrile-range temperature may require a multimodal temperature management strategy to further evaluate effects on outcome. ClinicalTrials.gov Identifier: NCT04494867.

Research Hotspots and Trends of Deep Learning in Critical Care Medicine: A Bibliometric and Visualized Study

Background

Interest in the application of deep learning (DL) in critical care medicine (CCM) is growing rapidly. However, comprehensive bibliometric research that analyze and measure the global literature is still lacking.

Objective

The present study aimed to systematically evaluate the research hotspots and trends of DL in CCM worldwide based on the output of publications, cooperative relationships of research, citations, and the co-occurrence of keywords.

Methods

A total of 1708 articles in all were obtained from Web of Science. Bibliometric analysis was performed by Bibliometrix package in R software (4.2.2), Microsoft Excel 2019, VOSviewer (1.6.18), and CiteSpace (5.8.R3).

Results

The annual publications increased steeply in the past five years, accounting for 95.67% (1634/1708) of all the included literature. China and USA contributed to approximately 71.66% (1244/1708) of all publications. Seven of the top ten most productive organizations rank in the top 100 universities globally. Hot spots in research on the application of DL in CCM have focused on classifying disease phenotypes, predicting early signs of clinical deterioration, and forecasting disease progression, prognosis, and death. Convolutional neural networks, long and short-term memory networks, recurrent neural networks, transformer models, and attention mechanisms were all commonly used DL technologies.

Conclusion

Hot spots in research on the application of DL in CCM have focused on classifying disease phenotypes, predicting early signs of clinical deterioration, and forecasting disease progression, prognosis, and death. Extensive collaborative research to improve the maturity and robustness of the model remains necessary to make DL-based model applications sufficiently compelling for conventional CCM practice.