The role of stepdown beds in hospital care

The Role of Intermediate Care in Supporting Critically Ill Patients and Critical Care Infrastructure

Intermediate care (IC) is used for patients who do not require the human and technological support of the intensive care unit (ICU) yet require more care and monitoring than can be provided on general wards. Though prevalent in many countries, there is marked variability in models of organization and staffing, as well as monitoring and interventions provided. In this article, the authors will discuss the historical background of IC, review the impact of IC on ICU and IC patient outcomes, and highlight where future studies can shed light on how to optimize IC organization and outcomes.

Lung Protective Ventilation Adherence and Outcomes for Patients With COVID-19 Acute Respiratory Distress Syndrome Treated in an Intermediate Care Unit Repurposed to ICU Level of Care

OBJECTIVE

During the COVID-19 pandemic, some centers converted intermediate care units (IMCUs) to COVID-19 ICUs (IMCU/ICUs). In this study, we compared adherence to lung protective ventilation (LPV) and outcomes for patients with COVID-19-related acute respiratory distress syndrome (ARDS) treated in an IMCU/ICU versus preexisting medical ICUs (MICUs).

DESIGN

Retrospective observational study using electronic medical record data.

SETTING

Two academic medical centers from March 2020 to September 2020 (period 1) and October 2020 to May 2021 (period 2), which capture the first two COVID-19 surges in this health system.

PATIENTS

Adults with COVID-19 receiving invasive mechanical ventilation who met ARDS oxygenation criteria (Pao2/Fio2 ≤ 300 mm Hg or Spo2/Fio2 ≤ 315).

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

We defined LPV adherence as the percent of the first 48 hours of mechanical ventilation that met a restrictive definition of LPV of, tidal volume/predicted body weight (Vt/PBW) less than or equal to 6.5 mL/kg and plateau pressure (Pplat) less than or equal to 30 cm H2o. In an expanded definition, we added that if Pplat is greater than 30 cm H2o, Vt/PBW had to be less than 6.0 mL/kg. Using the restricted definition, period 1 adherence was lower among 133 IMCU/ICU versus 199 MICU patients (92% [95% CI, 50-100] vs. 100% [86-100], p = 0.05). Period 2 adherence was similar between groups (100% [75-100] vs. 95% CI [65-100], p = 0.68). A similar pattern was observed using the expanded definition. For the full study period, the adjusted hazard of death at 90 days was lower in IMCU/ICU versus MICU patients (hazard ratio [HR] 0.73 [95% CI, 0.55-0.99]), whereas ventilator liberation by day 28 was similar between groups (adjusted subdistribution HR 1.09 [95% CI, 0.85-1.39]).

CONCLUSIONS

In patients with COVID-19 ARDS treated in an IMCU/ICU, LPV adherence was similar to, and observed survival better than those treated in preexisting MICUs. With adequate resources, protocols, and staffing, IMCUs provide an effective source of additional ICU capacity for patients with acute respiratory failure.

Hospital and regional variations in intensive care unit admission for patients with invasive mechanical ventilation

BACKGROUND

Patients who receive invasive mechanical ventilation (IMV) in the intensive care unit (ICU) have exhibited lower in-hospital mortality rates than those who are treated outside. However, the patient-, hospital-, and regional factors influencing the ICU admission of patients with IMV have not been quantitatively examined.

METHODS

This retrospective cohort study used data from the nationwide Japanese inpatient administrative database and medical facility statistics. We included patients aged ≥ 15 years who underwent IMV between April 2018 and March 2019. The primary outcome was ICU admission on the day of IMV initiation. Multilevel logistic regression analyses incorporating patient-, hospital-, or regional-level variables were used to assess cluster effects by calculating the intraclass correlation coefficient (ICC), median odds ratio (MOR), and proportional change in variance (PCV).

RESULTS

Among 83,346 eligible patients from 546 hospitals across 140 areas, 40.4% were treated in ICUs on their IMV start day. ICU admission rates varied widely between hospitals (median 0.7%, interquartile range 0-44.5%) and regions (median 28.7%, interquartile range 0.9-46.2%). Multilevel analyses revealed significant effects of hospital cluster (ICC 82.2% and MOR 41.4) and regional cluster (ICC 67.3% and MOR 12.0). Including patient-level variables did not change these ICCs and MORs, with a PCV of 2.3% and - 1.0%, respectively. Further adjustment for hospital- and regional-level variables decreased the ICC and MOR, with a PCV of 95.2% and 85.6%, respectively. Among the hospital- and regional-level variables, hospitals with ICU beds and regions with ICU beds had a statistically significant and strong association with ICU admission.

CONCLUSIONS

Our results revealed that primarily hospital and regional factors, rather than patient-related ones, opposed ICU admissions for patients with IMV. This has important implications for healthcare policymakers planning interventions for optimal ICU resource allocation.

Pro-Con Debate: Universal Versus Selective Continuous Monitoring of Postoperative Patients

In this Pro-Con commentary article, we discuss use of continuous physiologic monitoring for clinical deterioration, specifically respiratory depression in the postoperative population. The Pro position advocates for 24/7 continuous surveillance monitoring of all patients starting in the postanesthesia care unit until discharge from the hospital. The strongest arguments for universal monitoring relate to inadequate assessment and algorithms for patient risk. We argue that the need for hospitalization in and of itself is a sufficient predictor of an individual's risk for unexpected respiratory deterioration. In addition, general care units carry the added risk that even the most severe respiratory events will not be recognized in a timely fashion, largely due to higher patient to nurse staffing ratios and limited intermittent vital signs assessments (e.g., every 4 hours). Continuous monitoring configured properly using a "surveillance model" can adequately detect patients' respiratory deterioration while minimizing alarm fatigue and the costs of the surveillance systems. The Con position advocates for a mixed approach of time-limited continuous pulse oximetry monitoring for all patients receiving opioids, with additional remote pulse oximetry monitoring for patients identified as having a high risk of respiratory depression. Alarm fatigue, clinical resource limitations, and cost are the strongest arguments for selective monitoring, which is a more targeted approach. The proponents of the con position acknowledge that postoperative respiratory monitoring is certainly indicated for all patients, but not all patients need the same level of monitoring. The analysis and discussion of each point of view describes who, when, where, and how continuous monitoring should be implemented. Consideration of various system-level factors are addressed, including clinical resource availability, alarm design, system costs, patient and staff acceptance, risk-assessment algorithms, and respiratory event detection. Literature is reviewed, findings are described, and recommendations for design of monitoring systems and implementation of monitoring are described for the pro and con positions.

Original Research: Breaking Through the Bottleneck: Acuity Adaptability in Noncritical Trauma Care

BACKGROUND

Achieving efficient throughput of patients is a challenge faced by many hospital systems. Factors that can impede efficient throughput include increased ED use, high surgical volumes, lack of available beds, and the complexities of coordinating multiple patient transfers in response to changing care needs. Traditionally, many hospital inpatient units operate via a fixed acuity model, relying on multiple intrahospital transfers to move patients along the care continuum. In contrast, the acuity-adaptable model allows care to occur in the same room despite fluctuations in clinical condition, removing the need for transfer. This model has been shown to be a safe and cost-effective approach to improving throughput in populations with predictable courses of hospitalization, but has been minimally evaluated in other populations, such as patients hospitalized for traumatic injury.

PURPOSE

This quality improvement project aimed to evaluate implementation of an acuity-adaptable model on a 20-bed noncritical trauma unit. Specifically, we sought to examine and compare the pre- and postimplementation metrics for throughput efficiency, resource utilization, and nursing quality indicators; and to determine the model's impact on patient transfers for changes in level of care.

METHODS

This was a retrospective, comparative analysis of 1,371 noncritical trauma patients admitted to a level 1 trauma center before and after the implementation of an acuity-adaptable model. Outcomes of interest included throughput efficiency, resource utilization, and quality of nursing care. Inferential statistics were used to compare patients pre- and postimplementation, and logistic regression analyses were performed to determine the impact of the acuity-adaptable model on patient transfers.

RESULTS

Postimplementation, the median ED boarding time was reduced by 6.2 hours, patients more often remained in their assigned room following a change in level of care, more progressive care patient days occurred, fall and hospital-acquired pressure injury index rates decreased respectively by 0.9 and 0.3 occurrences per 1,000 patient days, and patients were more often discharged to home. Logistic regression analyses revealed that under the new model, patients were more than nine times more likely to remain in the same room for care after a change in acuity and 81.6% less likely to change rooms after a change in acuity. An increase of over $11,000 in average daily bed charges occurred postimplementation as a result of increased progressive care-level bed capacity.

CONCLUSIONS

The implementation of an acuity-adaptable model on a dedicated noncritical trauma unit improved throughput efficiency and resource utilization without sacrificing quality of care. As hospitals continue to face increasing demand for services as well as numerous barriers to meeting such demand, leaders remain challenged to find innovative ways to optimize operational efficiency and resource utilization while ensuring delivery of high-quality care. The findings of this study demonstrate the value of the acuity-adaptable model in achieving these goals in a noncritical trauma care population.

Association Between Nurse Copatient Illness Severity and Mortality in the ICU

OBJECTIVES

In the context of traditional nurse-to-patient ratios, ICU patients are typically paired with one or more copatients, creating interdependencies that may affect clinical outcomes. We aimed to examine the effect of copatient illness severity on ICU mortality.

DESIGN

We conducted a retrospective cohort study using electronic health records from a multihospital health system from 2018 to 2020. We identified nurse-to-patient assignments for each 12-hour shift using a validated algorithm. We defined copatient illness severity as whether the index patient's copatient received mechanical ventilation or vasoactive support during the shift. We used proportional hazards regression with time-varying covariates to assess the relationship between copatient illness severity and 28-day ICU mortality.

SETTING

Twenty-four ICUs in eight hospitals.

PATIENTS

Patients hospitalized in the ICU between January 1, 2018, and August 31, 2020.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

The main analysis included 20,650 patients and 84,544 patient-shifts. Regression analyses showed a patient's risk of death increased when their copatient received both mechanical ventilation and vasoactive support (hazard ratio [HR]: 1.30; 95% CI, 1.05-1.61; p = 0.02) or vasoactive support alone (HR: 1.82; 95% CI, 1.39-2.38; p < 0.001), compared with situations in which the copatient received neither treatment. However, if the copatient was solely on mechanical ventilation, there was no significant increase in the risk of death (HR: 1.03; 95% CI, 0.86-1.23; p = 0.78). Sensitivity analyses conducted on cohorts with varying numbers of copatients consistently showed an increased risk of death when a copatient received vasoactive support.

CONCLUSIONS

Our findings suggest that considering copatient illness severity, alongside the existing practice of considering individual patient conditions, during the nurse-to-patient assignment process may be an opportunity to improve ICU outcomes.

The trajectory of very old critically ill patients

The demographic shift, together with financial constraint, justify a re-evaluation of the trajectory of care of very old critically ill patients (VIP), defined as older than 80 years. We must avoid over- as well as under-utilisation of critical care interventions in this patient group and ensure the inclusion of health care professionals, the patient and their caregivers in the decision process. This new integrative approach mobilises expertise at each step of the process beginning prior to intensive care unit (ICU) admission and extending to long-term follow-up. In this review, several international experts have contributed to provide recommendations that can be universally applied. Our aim is to define a minimum core dataset of information to be shared and discussed prior to ICU admission and to facilitate the shared-decision-making process with the patient and their caregivers, throughout the patient journey. Documentation of uncertainty may contribute to a tailored level of care and ultimately to discussions around possible limitations of life sustaining treatments. The goal of ICU care is not only to avoid death, but more importantly to maintain an acceptable quality of life and functional autonomy after hospital discharge. Societal consideration is important to highlight, together with alternatives to ICU admission. We discuss challenges for the future and potential areas of research. In summary, this review provides a state-of-the-art current overview and aims to outline future directions to address the challenges in the treatment of VIP.

Association between regional critical care capacity and the incidence of invasive mechanical ventilation for coronavirus disease 2019: a population-based cohort study

BACKGROUND

Coronavirus disease 2019 (COVID-19) has exposed critical care supply shortages worldwide. This study aimed to investigate the association between regional critical care capacity and the incidence of invasive mechanical ventilation following novel COVID-19 during the pandemic in Japan, a country with a limited intensive care unit (ICU) bed capacity of a median of 5.1 ICU beds per 100,000 individuals.

METHODS

This population-based cohort study used data from the CRoss Icu Searchable Information System database and publicly available databases provided by the Japanese government and Japanese Society of Intensive Care Medicine. We identified patients recently diagnosed with COVID-19, those who received invasive mechanical ventilation, and those who received extracorporeal membrane oxygenation (ECMO) between February 2020 and March 2023. We analyzed the association between regional critical care capacity (ICU beds, high-dependency care unit (HDU) beds, resource-rich ICU beds, and intensivists) and the incidence of invasive mechanical ventilation, ECMO, and risk-adjusted mortality across 47 Japanese prefectures.

RESULTS

Among the approximately 127 million individuals residing in Japan, 33,189,809 were recently diagnosed with COVID-19, with 12,203 and 1,426 COVID-19 patients on invasive mechanical ventilation and ECMO, respectively, during the study period. Prefecture-level linear regression analysis revealed that the addition of ICU beds, resource-rich ICU beds, and intensivists per 100,000 individuals increased the incidence of IMV by 5.37 (95% confidence interval, 1.99-8.76), 7.27 (1.61-12.9), and 13.12 (3.48-22.76), respectively. However, the number of HDU beds per 100,000 individuals was not statistically significantly associated with the incidence of invasive mechanical ventilation. None of the four indicators of regional critical care capacity was statistically significantly associated with the incidence of ECMO and risk-adjusted mortality.

CONCLUSIONS

The results of prefecture-level analyses demonstrate that increased numbers of ICU beds, resource-rich ICU beds, and intensivists are associated with the incidence of invasive mechanical ventilation among patients recently diagnosed with COVID-19 during the pandemic. These findings have important implications for healthcare policymakers, aiding in efficiently allocating critical care resources during crises, particularly in regions with limited ICU bed capacities. Registry and the registration no. of the study/trial The approval date of the registry was August 20, 2020, and the registration no. of the study was lUMIN000041450.

Creation and Expansion of a Mixed Patient Intermediate Care Unit to Improve ICU Capacity

OBJECTIVES

ICU capacity strain is associated with worsened outcomes. Intermediate care units (IMCs) comprise one potential option to offload ICUs while providing appropriate care for intermediate acuity patients, but their impact on ICU capacity has not been thoroughly characterized. The aims of this study are to describe the creation of a medical-surgical IMC and assess how the IMC affected ICU capacity.

DESIGN

Descriptive report with retrospective cohort review.

SETTING

Six hundred seventy-three-bed tertiary care academic medical center with 77 ICU beds.

PATIENTS

Adult inpatients who were admitted to the IMC.

INTERVENTIONS

An interdisciplinary working group created an IMC which was located on a general ward. The IMC was staffed by hospitalists and surgeons and supported by critical care consultants. The initial maximum census was three, but this number increased to six in response to heightened critical care demand. IMC admission criteria also expanded to include advanced noninvasive respiratory support defined as patients requiring high-flow nasal cannula, noninvasive positive pressure ventilation, or mechanical ventilation in patients with tracheostomies.

MEASUREMENTS AND MAIN RESULTS

The primary outcome entailed the number of ICU bed-days saved. Adverse outcomes, including ICU transfer, intubation, and death, were also recorded. From August 2021 to July 2022, 230 patients were admitted to the IMC. The most frequent IMC indications were respiratory support for medical patients and post-operative care for surgical patients. A total of 1023 ICU bed-days were made available. Most patients were discharged from the IMC to a general ward, while 8% of all patients required transfer to an ICU within 48 hours of admission. Intubation (2%) and death (1%) occurred infrequently within 48 hours of admission. Respiratory support was the indication associated with the most ICU transfers.

CONCLUSIONS

Despite a modest daily census, an IMC generated substantial ICU bed capacity during a time of peak critical care demand.

Association Between Levels of Intensive Care and In-Hospital Mortality in Patients Hospitalized for Sepsis Stratified by Sequential Organ Failure Assessment Scores

OBJECTIVES

To assess the association between levels of intensive care and in-hospital mortality in patients hospitalized for sepsis, stratified by Sequential Organ Failure Assessment (SOFA) score at admission.

DESIGN

A nationwide, propensity score-matched, retrospective cohort study.

SETTING

A Japanese national inpatient database with data on 70-75% of all ICU and high-dependency care unit (HDU) beds in Japan.

PATIENTS

Adult patients hospitalized for sepsis with SOFA scores greater than or equal to 2 on their day of admission between April 1, 2018, and March 31, 2021, were recruited. Propensity score matching was performed to compare in-hospital mortality, and patients were stratified into 10 groups according to SOFA scores.

INTERVENTIONS

Two exposure and control groups according to treatment unit on day of admission: 1) ICU + HDU versus general ward and 2) ICU versus HDU.

MEASUREMENTS AND MAIN RESULTS

Of 97,070 patients, 19,770 (20.4%), 23,066 (23.8%), and 54,234 (55.9%) were treated in ICU, HDU, and general ward, respectively. After propensity score matching, the ICU + HDU group had significantly lower in-hospital mortality than the general ward group, among cohorts with SOFA scores greater than or equal to 6. There were no significant differences in in-hospital mortality among cohorts with SOFA scores 3-5. The ICU + HDU group had significantly higher in-hospital mortality than the general ward among cohorts with SOFA scores of 2. The ICU group had lower in-hospital mortality than the HDU group among cohorts with SOFA scores greater than or equal to 12. There were no significant differences in in-hospital mortality among cohorts with SOFA scores 5-11. The ICU group had significantly higher in-hospital mortality than the general ward group among cohorts with SOFA scores less than or equal to 4.

CONCLUSIONS

Patients hospitalized for sepsis with SOFA scores greater than or equal to 6 in the ICU or HDU had lower in-hospital mortality than those in the general ward, as did those with SOFA scores greater than or equal to 12 in the ICU versus HDU.

Where internal medical patients receive intensive interventions: results from a tertiary-care hospital in Israel

BACKGROUND

Patients admitted to internal medicine may be moved to more advanced-care settings when their condition deteriorates. In these advanced care settings, there may be higher levels of monitoring and greater ability to deliver Intensive Medical Treatments (IMTs). To the best of our knowledge, no previous study has examined the proportion of patients at different levels of care who receive different types of IMTs.

METHODS

In this retrospective observational cohort study, we examined data from 56,002 internal medicine hospitalizations at Shaare Zedek Medical Center, between 01.01.2016 and 31.12.2019. Patients were divided according to where they received care: general-ward, Intermediate-Care Unit, Intensive Care Unit (ICU), or both (Intermediate-Care and ICU). We examined the rates at which these different groups of patients received one or more of the following IMTs: mechanical ventilation, daytime bi-level positive airway pressure (BiPAP), or vasopressor therapy.

RESULTS

Most IMTs were delivered in a general-ward setting - ranging from 45.9% of IMT-treated hospitalizations involving combined mechanical ventilation and vasopressor therapy to as high as 87.4% of IMT-treated hospitalizations involving daytime BiPAP. Compared to ICU patients, Intermediate-Care Unit patients were older (mean age 75.1 vs 69.1, p < 0.001 for this and all other comparisons presented here), had longer hospitalizations (21.3 vs 14.5 days), and were more likely to die in-hospital (22% vs 12%). They were also more likely to receive most of the IMTs compared to ICU patients. For example, 9.7% of Intermediate-Care Unit patients received vasopressors, compared to 5.5% of ICU patients.

CONCLUSION

In this study, most of the patients who received IMTs actually received them in a general-bed and not in a dedicated unit. These results imply that IMTs are predominantly delivered in unmonitored settings, and suggest an opportunity to re-examine where and how IMTs are given. In terms of health policy, these findings suggest a need to further examine the setting and patterns of intensive interventions, as well as a need to increase the number of beds dedicated to delivering intensive interventions.

Disposition to pediatric intensive care unit post supraglottoplasty repair: a systematic review

BACKGROUND

Patients undergoing supraglottoplasty are often routinely admitted post-operatively to the pediatric intensive care unit (PICU) due to rare but potentially fatal complications such as airway compromise. A systematic review was performed to determine the rate of post-operative PICU-level respiratory support required by pediatric patients following supraglottoplasty, to identify risk factors for patients who may benefit from post-operative PICU admission and limit unnecessary use of intensivist resources.

REVIEW METHODS

Key search terms 'supraglottoplasty' OR 'supraglottoplasties' were queried on three databases: CINHAL, Medline and Embase. Inclusion criteria were pediatric patients under 18 years of age who underwent a supraglottoplasty procedure with either an admission to PICU or requirement for PICU-level respiratory support. Risk of bias was assessed by two independent reviewers using QUADAS-2. Findings were critically appraised by three independent reviewers and pooled proportions of criteria meeting PICU admission were calculated for meta-analysis.

RESULTS

Nine studies met inclusion criteria, totaling 922 patients. Age at time of surgery ranged from 19 days to 15.7 years with mean age of 5.65 months. A weighted pooled estimate suggested that 19% (95% CI 14-24%) of patients who underwent supraglottoplasty required PICU-admission. The included studies revealed several patient and surgical factors have been linked to postoperative respiratory issues requiring PICU admission, including: neurological disease, perioperative oxygen saturation < 95%, prolonged surgical time and age < 2 months.

CONCLUSIONS

This study found that the majority of supraglottoplasty patients do not require significant postoperative respiratory support and suggests that routine PICU admission of these patients may be avoided by careful patient selection. Given the wide heterogeneity of outcome measures, further studies are needed to determine the ideal PICU admission criteria following supraglottoplasty.

Registered nurses' experience of care for adult patients with a temporary tracheostomy at general hospital wards. A phenomenological-hermeneutic explorative study

BACKGROUND

Caring for adult patients with a temporary tracheostomy in general wards can be challenging and complex. Little research has explored registered nurses' experiences with caring for these groups of patients.

OBJECTIVES

This study sought to interpret and describe registered nurses' lived experiences of caring for adult patients with a tracheostomy in general wards.

RESEARCH DESIGN/METHODOLOGY

Six registered nurses were interviewed in this study. The interviews were analysed to gain comprehensive knowledge about caring for adult patients with a temporary tracheostomy. The interviews were transcribed, analysed, and interpreted by using Gadameŕs philosophical hermeneutics and Kvale and Brinkmann's three steps of understanding.

SETTING

Three different wards medical, surgical, and neurological of a teaching hospital in Norway.

FINDINGS

Three themes emerged from data analysis. These included experiencing clinically challenging patients, a lack of clinical support from the intensive care nurses, and a lack of professional confidence.

CONCLUSION

This study highlighted the challenges surrounding the care of an adult patient with a tracheostomy in the general wards. Identifying these challenges would lead to further improvement in registered nurses' experiences and, in turn, in the quality of competent care for adult patients with a tracheostomy in the general ward.

IMPLICATIONS FOR CLINICAL PRACTICE

Understanding the registered nurses' experiences will assist the head nurses in planning and providing relevant information and education to provide safe and holistic patient care. Adequate support from intensive care unit nurses and professional development are required to ensure high-quality care. This study recommends that healthcare managers focus on establishing step-down units to improve patient outcomes, especially for high-risk patients and to increase the competencies of registered nurses in caring for adult patients with a tracheostomy as a whole person.

Intensive Care Unit versus High-dependency Care Unit for COVID-19 Patients with Invasive Mechanical Ventilation

Rationale: High-dependency care units (HDUs), also termed "intermediate care units", "step-down units", or "respiratory HDUs", are areas in which degrees of patient care and costs are between those of the intensive care unit (ICU) and the general ward. In general, patients requiring mechanical ventilation are treated in the ICU rather than in the HDU, except for the use of HDU beds as surge capacity beds during a massive strain; however, the HDU, as well as ICU, are used as the standard care units for mechanically ventilated patients with coronavirus disease (COVID-19) in Japan. Objectives: To assess the outcomes of patients with COVID-19 with invasive mechanical ventilation treated in the HDU versus those treated in the ICU. Methods: In this retrospective cohort study, we used a multicenter inpatient database in Japan to identify mechanically ventilated patients with COVID-19 in the ICU or HDU on the start day of invasive mechanical ventilation from February 10, 2020, to November 30, 2021. The primary outcome was in-hospital mortality within 30 days from the start of the first invasive mechanical ventilation. Propensity score matching was performed to compare the outcomes of patients treated in the ICU with those treated in the HDU. Results: Of 1,985 eligible patients with COVID-19 with invasive mechanical ventilation, 1,303 (66%) were treated in the ICU, and 682 (34%) were treated in the HDU on the start day of invasive mechanical ventilation. After propensity score matching, patients treated in the ICU had significantly lower in-hospital mortality within 30 days than those treated in the HDU (18.3% vs. 24.2%; risk difference, -5.8%; 95% confidence interval, -10.9% to -0.8%). Conclusions: This multicenter observational study in Japan suggests that care for mechanically ventilated patients with COVID-19 in the ICU may significantly reduce in-hospital mortality within 30 days compared with care in the HDU. Establishing a critical care system that would allow patients with COVID-19 requiring ventilators to be treated in the ICU is desirable. Because this study was an observational study, our finding represents an association, not causation. Further studies of different critical care systems are warranted to confirm our findings.

Patients after lung resection heading to the high-dependency unit: a cost-effectiveness study for managing lung cancer patients

Background

Recently, most thoracic surgery units allocate patients post lung resection to high-dependency units (HDU) rather than the old trend of intensive care units (ITU). The aim of the study is to assess the safety and efficacy of such a policy. We compared a single group of patients who underwent lobectomies who were admitted to ITU before March 2011 and patients whom their destination was to HDU after that date. Preoperative factors and postoperative outcomes were compared.

Results

A total of 408 patients were studied, 203 post-lobectomy patients were admitted routinely to ITU before March 2011, while 205 patients were admitted to HDU after that date. The mean postoperative length of stay in ITU was 1.2 days while in HDU was 1.1 days. In-hospital mortality for the ITU group was 2.5% (n = 5) while in the HDU group was 1.4% (n = 3) (p = 0.43). ITU readmission was observed in 6.5% (n = 13) in the ITU group and 4.3% (n = 9) in the HDU group (p = 0.31). Total complications were present in 39% in the ITU group and 33% in the HDU group (p = 0.16). The total estimated cost of one ITU day per patient is 850 GBP in comparison with 430 GBP for the HDU group (p = 0.007). The incremental cost-effectiveness ratio of the HDU stay per year was US $32.130/QALY.

Conclusion

The high-dependency unit is a safe destination for post-lobectomy patients. The same concept may apply to all thoracotomy patients. Hospitals could adopt such a policy which offers a better financial option without jeopardizing the level of patient care or outcome.

Expedited upskilling of intermediate care nurses to provide critical care during the COVID-19 pandemic

AIM

Describe the strategy, efficacy and preferred mechanisms of training used to rapidly upskill intermediate care nursing staff to provide critical care during the COVID-19 pandemic.

DESIGN

Descriptive study.

METHODS

The strategy used from March through December 2020 to upskill nurses in an intermediate care unit to administer critical care upon rapid conversion of the intermediate care unit to an intensive care unit for coronavirus disease 2019 is described. Training and education included paired staffing models, interdisciplinary education, skills days and self-directed learning. Nurses engaged in this upskilling process were surveyed to evaluate their confidence in new critical care competencies and educational preferences.

RESULTS

Of 38 intermediate care nurses, 35 completed training and began independent intensive care practice. Nursing confidence in critical care competencies increased steadily. Nurses demonstrated the greatest preference for peer education models, particularly those incorporating the hospital's pre-existing medical intensive care nurses.

PATIENT AND PUBLIC CONTRIBUTIONS

No patient or public contributions were made to this manuscript.

Respiratory Intensive Care Unit management and efficacy during the COVID-19 outbreak in Naples, Italy

The World Health Organization declared the Coronavirus Diseases 2019 (COVID-19) outbreak a global pandemic on March 11, 2020. COVID-19 had an impact on over 500 million people worldwide. According to the American Thoracic Society criteria, the respiratory spectrum of this disease ranges from mild illness to severe pneumonia, with the latter occurring in a not insignificant 15% of patients. A rapid increase in the incidence of COVID-19 pneumonia cases has been observed all over the world, resulting in a saturation of the Intensive Care Unit's capacity (ICUs). Because of this impressive outbreak, the ICU beds and invasive mechanical ventilators reached their capacity. Non-invasive supportive care has become an important option for keeping respiratory conditions under control. As a result, proper healthcare resource management was required to ensure adequate patient care. Respiratory Intensive Care Units (RICUs) have become a useful resource for managing complex patients due to a shortage of ICU capacity. This highlighted the importance of RICUs, where patients with moderate to severe respiratory failure can be treated with non-invasive respiratory support rather than being admitted to the ICU. The clinical outcomes and baseline characteristics of patients admitted to the RICU of Cotugno Hospital, a tertiary referral center in Naples (Italy), from January 2021 to October 2021 are described in this report.

Intensive care unit versus high dependency care unit admission after emergency surgery: a nationwide in-patient registry study

BACKGROUND

The appropriate level of postoperative critical care for patients undergoing emergency surgery is unknown. We aimed to assess the outcomes of postoperative patients treated in the intensive care unit (ICU) and high dependency care unit (HDU) after emergency surgery.

METHODS

Analysis of national in-patient registry data in Japan from July 2010 to March 2018, including patients undergoing one of 10 emergency surgeries on the day of hospital admission. The exposures were ICU or HDU admission on the day of surgery. The primary outcome was in-hospital mortality. We performed multivariable logistic regression analysis adjusted for patient and hospital characteristics. Results are presented as n (%) and odds ratios (ORs) with 95% confidence intervals.

RESULTS

We included 158 149 patients from 646 hospitals. Crude in-hospital mortality for each procedure ranged from 168/8583 (2.0%) for cholecystectomy to 2842/12 958 (21.9%) for patients undergoing surgery for traumatic brain injury. Compared with HDU admission, ICU admission was associated with lower in-hospital mortality among the cohorts for medium-mortality risk procedures (procedure-specific mortality 5-15%) (ICU: 8834/73 616 [12.0%] vs HDU: 2586/25 262 [10.2%]; OR=0.90 [0.85-0.96]; P=0.001), and high-mortality risk procedures (procedures-specific mortality >15%) (ICU: 3445/16 334 [21.1%] vs HDU: 996/4613 [21.6%]; OR=0.86 [0.78-0.96]; P=0.005). There were no differences in mortality for low-mortality risk procedures with procedure-specific mortality <5%.

CONCLUSIONS

In this national registry study, postoperative critical care in ICU was associated with lower in-hospital mortality than in HDU for patients undergoing medium-risk and high-risk emergency surgery. Further research is needed to understand the role of critical care for surgical patients.

Long-Term Outcome of Critically Ill Advanced Cancer Patients Managed in an Intermediate Care Unit

Background: To analyze the long-term outcomes for advanced cancer patients admitted to an intermediate care unit (ImCU), an analysis of a do not resuscitate orders (DNR) subgroup was made. Methods: A retrospective observational study was conducted from 2006 to January 2019 in a single academic medical center of cancer patients with stage IV disease who suffered acute severe complications. The Simplified Acute Physiology Score 3 (SAPS 3) was used as a prognostic and severity score. In-hospital mortality, 30-day mortality and survival after hospital discharge were calculated. Results: Two hundred and forty patients with stage IV cancer who attended at an ImCU were included. In total, 47.5% of the cohort had DNR orders. The two most frequent reasons for admission were sepsis (32.1%) and acute respiratory failure (excluding sepsis) (38.7%). Mortality in the ImCU was 10.8%. The mean predicted in-hospital mortality according to SAPS 3 was 51.9%. The observed in-hospital mortality was 37.5% (standard mortality ratio of 0.72). Patients discharged from hospital had a median survival of 81 (30.75−391.25) days (patients with DNR orders 46 days (19.5−92.25), patients without DNR orders 162 days (39.5−632)). The observed mortality was higher in patients with DNR orders: 52.6% vs. 23.8%, p 0 < 0.001. By multivariate logistic regression, a worse ECOG performance status (3−4 vs. 0−2), a higher SAPS 3 Score and DNR orders were associated with a higher in-hospital mortality. By multivariate analysis, non-invasive mechanical ventilation, higher bilirubin levels and DNR orders were significantly associated with 30-day mortality. Conclusion: For patients with advanced cancer disease, even those with DNR orders, who suffer from acute complications or require continuous monitoring, an ImCU-centered multidisciplinary management shows encouraging results in terms of observed-to-expected mortality ratios.

ICU Versus High-Dependency Care Unit for Patients With Acute Myocardial Infarction: A Nationwide Propensity Score-Matched Cohort Study

OBJECTIVES

To compare the outcomes of patients with acute myocardial infarction who were treated in ICUs versus high-dependency care units (HDUs).

DESIGN

A nationwide, propensity score-matched, retrospective cohort study of a national administrative inpatient database in Japan from July 2010 to March 2018.

SETTING

Six hundred sixty-six acute-care hospitals with ICU and/or HDU beds covering about 75% of all ICU beds and 70% of all HDU beds in Japan.

PATIENTS

Adult patients who were hospitalized for acute myocardial infarction and admitted to the ICU or HDU on the day of hospital admission. Propensity score-matching analysis was performed to compare the inhospital mortality between patients treated in the ICU and HDU on the day of hospital admission.

INTERVENTIONS

ICU or HDU admission on the day of hospital admission.

MEASUREMENTS AND MAIN RESULTS

Of 135,142 eligible patients, 89,382 (66%) were admitted to the ICU and 45,760 (34%) were admitted to the HDU on the day of admission. After propensity score matching, there was no statistically significant difference in inhospital mortality between the ICU and HDU groups (5.0% vs 5.5%; difference, -0.5%; 95% CI, -1.0% to 0.1%). In the subgroup analyses, inhospital mortality was significantly lower in the ICU group than that in the HDU group among patients with Killip class IV (25.6% vs 28.4%; difference, -2.9%; 95% CI, -5.4% to -0.3%), patients who underwent intubation (40.0% vs 46.6%; difference, -6.6%; 95% CI, -10.6% to -2.7%), and patients who received mechanical circulatory support (21.8% vs 24.7%; difference, -2.8%; 95% CI, -5.5% to -0.2%).

CONCLUSIONS

Critical care in the ICU compared with that in the HDU was not associated with reduced inhospital mortality among the entire cohort of patients with acute myocardial infarction but was associated with reduced inhospital mortality among the subsets of patients with Killip class IV, intubation, or mechanical circulatory support.

Outcomes After Direct Discharge Home From Critical Care Units: A Population-Based Cohort Analysis

OBJECTIVES

To compare health service use and clinical outcomes for patients with and without direct discharge to home (DDH) from ICUs in Ontario.

DESIGN

Population-based, observational, cohort study using propensity scoring to match patients who were DDH to those not DDH and a preference-based instrumental variable (IV) analysis using ICU-level DDH rate as the IV.

SETTING

ICUs in Ontario.

PATIENTS

Patients discharged home from a hospitalization either directly or within 48 hours of care in an ICU between April 1, 2015, and March 31, 2017.

INTERVENTION

DDH from ICU.

MEASUREMENTS AND MAIN RESULTS

Among 76,737 patients in our cohort, 46,859 (61%) were DDH from the ICU. In the propensity matched cohort, the odds for our primary outcome of hospital readmission or emergency department (ED) visit within 30 days were not significantly different for patients DDH (odds ratio [OR], 1.00; 95% CI, 0.96-1.04), and there was no difference in mortality at 90 days for patients DDH (OR, 1.08; 95% CI, 0.97-1.21). The effect on hospital readmission or ED visits was similar in the subgroup of patients discharged from level 2 (OR, 0.98; 95% CI, 0.92-1.04) and level 3 ICUs (OR, 1.02; 95% CI, 0.96-1.09) and in the subgroups with cardiac conditions (OR, 1.03; 95% CI, 0.96-1.12) and noncardiac conditions (OR, 0.98; 95% CI, 0.94-1.03). Similar results were obtained in the IV analysis (coefficient for hospital readmission or ED visit within 30 d = -0.03 ± 0.03 (SE); p = 0.3).

CONCLUSIONS

There was no difference in outcomes for patients DDH compared with ward transfer prior to discharge when two approaches were used to minimize confounding within a large health systemwide observational cohort. We did not evaluate how patients are selected for DDH. Our results suggest that with careful patient selection, this practice might be feasible for routine implementation to ensure efficient and safe use of limited healthcare resources.

Models of Intermediate Care Organization and Staffing at an Academic Medical Center: Considerations of an Inpatient Planning Committee

Rationale: Geographic co-localization of patients and provider teams (geography) may improve care efficiency and quality. Patients requiring intermediate care present a unique challenge to the geographic model. Objective: Identify the best organizational and staffing model for intermediate care at our academic medical center. Methods: A modified nominal group technique was employed to assess the benefits and limitations of an existing model of intermediate care, identify and review potential alternative models, and choose a new model. Results: In addition to the institution's current model, the benefits and limitations of six alternative organizational and staffing models were characterized. The anticipated impact of each model on nurse: provider communication, maintenance of nursing competencies, nurse satisfaction, efficient utilization of technical and human resources, triage of patients to the unit, care continuity, and the impact on trainee education are described. After considering these features, stakeholders ranked a closed provider staffing model on a unit dedicated to intermediate care highest of the six alternative models. Important outcomes to monitor following transition to a closed staffing model included patient outcomes, nursing job satisfaction and retention, provider and trainee experience, unexpected patient transfers to higher or lower levels of care, and administrative costs. Conclusions: After considering six alternative staffing models for intermediate care, stakeholders ranked a closed provider staffing model highest. Further qualitative and quantitative comparisons to determine optimal models of intermediate care are needed.

A retrospective cohort study of short-stay admissions to the medical intensive care unit: Defining patient characteristics and critical care resource utilization

Background

Little is known about the mortality and utilization outcomes of short-stay intensive care unit (ICU) patients who require <24 h of critical care. We aimed to define characteristics and outcomes of short-stay ICU patients whose need for ICU level-of-care is ≤24 h compared to nonshort-stay patients.

Methods

Single-center retrospective cohort study of patients admitted to the medical ICU at an academic tertiary care center in 2019. Fisher's exact test or Chi-square for descriptive categorical variables, t-test for continuous variables, and Mann-Whitney two-sample test for length of stay (LOS) outcomes.

Results

Of 819 patients, 206 (25.2%) were short-stay compared to 613 (74.8%) nonshort-stay. The severity of illness as measured by the Mortality Probability Model-III was significantly lower among short-stay compared to nonshort-stay patients (P = 0.0001). Most short-stay patients were admitted for hemodynamic monitoring not requiring vasoactive medications (77, 37.4%). Thirty-six (17.5%) of the short-stay cohort met Society of Critical Care Medicine's guidelines for ICU admission. Nonfull-ICU LOS, or time spent waiting for transfer out to a non-ICU bed, was similar between the two groups. Hospital mortality was lower among short-stay patients compared to nonshort-stay patients (P = 0.01).

Conclusions

Despite their lower illness severity and fewer ICU-level care needs, short-stay patients spend an equally substantial amount of time occupying an ICU bed while waiting for a floor bed as nonshort-stay patients. Further investigation into the factors influencing ICU triage of these subacute patients and contributors to system inefficiencies prohibiting their timely transfer may improve ICU resource allocation, hospital throughput, and patient outcomes.

Intensive care unit versus high-dependency care unit for patients with acute heart failure: a nationwide propensity score-matched cohort study

Background

A structure and staffing model similar to that in general intensive care unit (ICUs) is applied to cardiac intensive care unit (CICUs) for patients with acute heart failure. However, there is limited evidence on the structure and staffing model of CICUs. The present study aimed to assess whether critical care for patients with acute heart failure in the ICUs is associated with improved outcomes than care in the high-dependency care units (HDUs), the hospital units in which patient care levels and costs are between the levels found in the ICU and general ward.

Methods

This nationwide, propensity score-matched, retrospective cohort study was performed using a national administrative inpatient database in Japan. We identified all patients who were hospitalized for acute heart failure and admitted to the ICU or HDU on the day of hospital admission from April 2014 to March 2019. Propensity score-matching analysis was performed to compare the in-hospital mortality between acute heart failure patients treated in the ICU and HDU on the day of hospital admission.

Results

Of 202,866 eligible patients, 78,646 (39%) and 124,220 (61%) were admitted to the ICU and HDU, respectively, on the day of admission. After propensity score matching, there was no statistically significant difference in in-hospital mortality between patients who were admitted to the ICU and HDU on the day of admission (10.7% vs. 11.4%; difference, − 0.6%; 95% confidence interval, − 1.5% to 0.2%). In the subgroup analyses, there was a statistically significant difference in in-hospital mortality between the ICU and HDU groups among patients receiving noninvasive ventilation (9.4% vs. 10.5%; difference, − 1.0%; 95% confidence interval, − 1.9% to − 0.1%) and patients receiving intubation (32.5% vs. 40.6%; difference, − 8.0%; 95% confidence interval, − 14.5% to − 1.5%). There were no statistically significant differences in other subgroup analyses.

Conclusions

Critical care in ICUs was not associated with lower in-hospital mortality than critical care in HDUs among patients with acute heart failure. However, critical care in ICUs was associated with lower in-hospital mortality than critical care in HDUs among patients receiving noninvasive ventilation and intubation.

Supplementary Information

The online version contains supplementary material available at 10.1186/s40560-021-00592-2.

Readmission into intensive care unit in patients with aneurysmal subarachnoid hemorrhage

Objective

Aneurysmal subarachnoid hemorrhage (aSAH) is a devastating cerebrovascular event; patients are routinely admitted to the intensive care unit (ICU) for initial management. Because complications may be delayed, unplanned ICU readmissions can occur. Therefore, in this study we evaluate the rate of and factors associated with readmission after aSAH and identify if readmission is associated with poor clinical outcomes.

Methods

We retrospectively reviewed the medical records of all patients receiving surgical or endovascular treatment for aSAH and admitted to the ICU between January 2008 and December 2019. We categorized patients by readmission and analyzed their clinical parameters.

Results

Of the 345 patients who transferred to ward-level care after an initial ICU stay (Group 2), 27 (7.3%) were readmitted to the ICU (Group 1). History of hypertension (HTN), initial Glasgow Coma Scale (GCS) score, modified Fisher grade, and vasospasm therapy during first ICU stay were significantly different between the groups. The most common reason for readmission was delayed cerebral ischemia (DCI; 70.3%; OR 5.545; 95% CI 1.25-24.52; p=0.024). Comorbid HTN (OR 5.311; 95% CI 1.75-16.12; p=0.03) and vasospasm therapy during first ICU stay (OR 7.234; 95% CI 2.41-21.7; p＜0.01) also were associated with readmission. Readmitted patients had longer hospital stay and lower GCS scores at discharge (p＜0.01).

Conclusions

DCI was the most common cause of ICU readmission in patients with aSAH. Readmission may indicate clinical deterioration, and patients who are at a high risk for DCI should be monitored to prevent readmission.

Reorganizing the respiratory high dependency unit for pandemics

INTRODUCTION

Respiratory high dependency units (RHDUs) set up in European countries in the last decade are based on being a transitional step between the intensive care units (ICUs) and the conventional hospital ward in terms of staffing, level of monitoring, and patients' severity. In the pre-COVID-19 era, its main use has been the treatment of hypercapnic acute-on-chronic respiratory failure with noninvasive respiratory support, and more recently, for hypoxemic acute respiratory failure.

AREAS COVERED

We searched the following databases: MEDLINE, EMBASE, Cochrane Central Register of Controlled Trials, limited to the terms: COVID-19 and RHDU, Respiratory Intermediate care Unit, acute respiratory distress syndrome (ARDS), noninvasive ventilation (NIV), high flow nasal cannula (HFNC), prone position, and monitoring. In this review, we summarize RHDU´s dual purpose: on the one hand, to decrease the number of admissions into ICU, and on the other hand, early discharges of patients from ICU with prolonged admissions due to the need of care or laborious weaning from invasive mechanical ventilation. Although this dual purpose of RHDUs has contributed to decrease the overload of the ICUs during the pandemic, the hundreds of patients admitted in hospitals, with approximately 20%-30% needing critical care, has exceeded the forecasts of many hospitals.

EXPERT OPINION

It seems clear that a reorganization and optimization of the care of patients with severe COVID-19 is necessary, minimizing admissions to the ICU and facilitating an early discharge. During the pandemic, several hospitals have spontaneously created new RHDUs or extended preexisting RHDUs or up-graded respiratory wards in order to receive less sick patients requiring lower levels of monitoring and nurse-to-patient ratios. This article reviews under a European expert perspective this topic and proposes an adaptation and optimization of the RHDUs to meet the emergent needs caused by the pandemic emphasizing the role of the expert application of noninvasive respiratory therapies in preventing intubation and ICU access.

Intensive care unit versus high-dependency care unit for mechanically ventilated patients with pneumonia: a nationwide comparative effectiveness study

Background

Many mechanically ventilated patients in Japan are treated in high-dependency care units (HDUs) rather than intensive care units (ICUs). HDUs can provide intermediate-level care with reduced costs; however, there is limited evidence on whether mechanically ventilated patients should be treated in the ICU or HDU.

Methods

This was a comparative effectiveness study using a nationwide administrative database in Japan. We identified mechanically ventilated patients with pneumonia in ICU or HDU on the day of admission in the Japanese Diagnosis Procedure Combination inpatient database from April 2014 to March 2019. The primary outcome was 30-day in-hospital mortality. Propensity score matching analysis was performed to compare this outcome between patients treated in the ICU and HDU. The robustness of the analyses was evaluated with multivariable regression, overlap weighting, and instrumental variable analyses.

Findings

Of 14,859 mechanically ventilated patients with pneumonia, 7,528 (51%) were treated in the ICU and 7,331 (49%) were treated in the HDU. After propensity score matching, patients treated in the ICU had significantly lower 30-day in-hospital mortality than did those treated in the HDU (24.0% vs. 31.2%; difference, −7.2%; 95% confidence interval, −10.0% to −4.4%). The multivariable regression, overlap weighting, and instrumental variable analyses showed a similar direction and magnitude of association.

Interpretation

Critical care for mechanically ventilated patients with pneumonia in the ICU was associated with a 7.2% decrease in 30-day in-hospital mortality vs. care in the HDU. Residual confounding may still play a role in the effect estimates.

Funding

This study received funding from Ministry of Health, Labour and Welfare, Japan, and Ministry of Education, Culture, Sports, Science and Technology, Japan.

Identifying the Sickest During Triage: Using Point-of-Care Severity Scores to Predict Prognosis in Emergency Department Patients With Suspected Sepsis

BACKGROUND

Sepsis progresses rapidly and is associated with considerable morbidity and mortality. Bedside risk stratification scores can quickly identify patients at greatest risk of poor outcomes; however, there is lack of consensus on the best scale to use.

OBJECTIVE

To compare the ability of quick Sequential Organ Failure Assessment (qSOFA), the National Early Warning System (NEWS2), and the Shock Index-which does not require mental status assessment-to predict poor outcomes among patients with suspected sepsis during triage.

DESIGN, SETTING, AND PARTICIPANTS

Retrospective cohort study of adults presenting to an academic emergency department (ED) from June 2012 to December 2018 who had blood cultures and intravenous antibiotics within 24 hours.

MAIN OUTCOMES AND MEASURES

Clinical data were collected from the electronic health record. Patients were considered positive at qSOFA ≥2, Shock Index >0.7, or NEWS2 ≥5 scores. We calculated test characteristics and area under the receiver operating characteristics curves (AUROCs) to predict in-hospital mortality and ED-to-intensive care unit (ICU) admission.

RESULTS

We included 23,837 ED patients; 1,921(8.1%) were qSOFA-positive, 4,273 (17.9%) Shock Index-positive, and 11,832 (49.6%) NEWS2-positive. There were 1,427 (6.0%) deaths and 3,149 (13.2%) ED-to-ICU admissions in the sample. NEWS2 had the highest sensitivity for in-hospital mortality (76.0%) and ED-to-ICU admission (78.9%). qSOFA had the highest specificity for in-hospital mortality (93.4%) and ED-to-ICU admission (95.2%). Shock Index exhibited the highest AUROC for in-hospital mortality (0.648; 95 CI, 0.635-0.662) and ED-to-ICU admission (0.680; 95% CI, 0.617-0.689). Test characteristics were similar among those with sepsis.

CONCLUSIONS

Institution priorities should drive score selection, balancing sensitivity and specificity. In our study, qSOFA was highly specific and NEWS2 was the most sensitive for ruling out patients at high risk. Performance of the Shock Index fell between qSOFA and NEWS2 and could be considered because it is easy to implement.

Clinical Outcomes of Severe COVID-19 Patients Admitted to an Intermediate Respiratory Care Unit

Introduction: Many severe COVID-19 patients require respiratory support and monitoring. An intermediate respiratory care unit (IMCU) may be a valuable element for optimizing patient care and limited health-care resources management. We aim to assess the clinical outcomes of severe COVID-19 patients admitted to an IMCU. Methods: Observational, retrospective study including patients admitted to the IMCU due to COVID-19 pneumonia during the months of March and April 2020. Patients were stratified based on their requirement of transfer to the intensive care unit (ICU) and on survival status at the end of follow-up. A multivariable Cox proportional hazards method was used to assess risk factors associated with mortality. Results: A total of 253 patients were included. Of them, 68% were male and median age was 65 years (IQR 18 years). Ninety-two patients (36.4%) required ICU transfer. Patients transferred to the ICU had a higher mortality rate (44.6 vs. 24.2%; p < 0.001). Multivariable proportional hazards model showed that age ≥65 years (HR 4.14; 95%CI 2.31-7.42; p < 0.001); chronic respiratory conditions (HR 2.34; 95%CI 1.38-3.99; p = 0.002) and chronic kidney disease (HR 2.96; 95%CI 1.61-5.43; p < 0.001) were independently associated with mortality. High-dose systemic corticosteroids followed by progressive dose tapering showed a lower risk of death (HR 0.15; 95%CI 0.06-0.40; p < 0.001). Conclusions: IMCU may be a useful tool for the multidisciplinary management of severe COVID-19 patients requiring respiratory support and non-invasive monitoring, therefore reducing ICU burden. Older age and chronic respiratory or renal conditions are associated with worse clinical outcomes, while treatment with systemic corticosteroids may have a protective effect on mortality.

The value of admission Troponin I to predict outcomes in suspected infections in elderly patients admitted in Internal Medicine: results from the SOFA-T collaboration, a multi-center study

Elderly patients affected by suspected infection and declining clinical conditions can be admitted to stepdown units (SDU), but a risk stratification is necessary to optimize their management. Admission troponin I (aTnI) has a prognostic role, however, one of the most commonly used stratification tools, the Sequential Organ Failure Assessment score (SOFA), does not consider myocardial injury. With this paper, we aimed to evaluate the prognostic accuracy of a new score, named SOFA-T, considering both SOFA score and aTnI in a cohort of elderly patients admitted to the stepdown beds of two Internal Medicine departments. Patients aged > 65 years admitted in SDU of two different hospitals of the same region in a 12-months timeframe were retrospectively assessed obtaining age, sex, days of admission, in-hospital death, SOFA, aTnI and comorbidities. The best aTnI cutoff for in-hospital death was calculated with ROC curve analysis; dichotomous variables were compared with chi-squared test; continuous variables were compared with t test or Mann-Whitney test. We obtained a cohort of 390 patients. The best aTnI cutoff was 0.31 ng/ml: patients with increased aTnI had higher risk of in-hospital death (OR: 1.834; 95% CI 1.160-2.900; p = 0.009), and higher SOFA (6.81 ± 2.71 versus 5.97 ± 3.10; p = 0.010). Adding aTnI to SOFA increased significantly the area under the curve (AUC_SOFA = 0.68; 95% CI 0.64-0.73; AUC_SOFA-T = 0.71; 95% CI 0.65-0.76; p = 0.0001), with a slight improvement of the prognostic performance. In elderly patients admitted to SDU for suspected infection, sepsis or septic shock, aTnI slightly improves the accuracy of SOFA score of the in-hospital death prediction.

Fast-track recovery program after cardiac surgery in a teaching hospital: a quality improvement initiative

Objective

Fast-track cardiac anesthesia (FTCA) is a technique that may improve patient access to surgery and maximize workforce utilization. However, feasibility and factors impacting FTCA implementation remain poorly explored both locally and internationally. We describe the specific intraoperative and postoperative protocols for our FTCA program, assess protocol compliance and identify reasons for FTCA failure.

Results

We tested the program in 16 patients undergoing elective cardiac surgery requiring cardiopulmonary bypass. There was 100% compliance with the FTCA protocols. Four (25%) patients successfully completed the FTCA protocol (extubated < 4 h postoperatively and discharged from the intensive care unit on the same operative day).

Critical Care Bed Capacity in Asian Countries and Regions

OBJECTIVE

To assess the number of adult critical care beds in Asian countries and regions in relation to population size.

DESIGN

Cross-sectional observational study.

SETTING

Twenty-three Asian countries and regions, covering 92.1% of the continent's population.

PARTICIPANTS

Ten low-income and lower-middle-income economies, five upper-middle-income economies, and eight high-income economies according to the World Bank classification.

INTERVENTIONS

Data closest to 2017 on critical care beds, including ICU and intermediate care unit beds, were obtained through multiple means, including government sources, national critical care societies, colleges, or registries, personal contacts, and extrapolation of data.

MEASUREMENTS AND MAIN RESULTS

Cumulatively, there were 3.6 critical care beds per 100,000 population. The median number of critical care beds per 100,000 population per country and region was significantly lower in low- and lower-middle-income economies (2.3; interquartile range, 1.4-2.7) than in upper-middle-income economies (4.6; interquartile range, 3.5-15.9) and high-income economies (12.3; interquartile range, 8.1-20.8) (p = 0.001), with a large variation even across countries and regions of the same World Bank income classification. This number was independently predicted by the World Bank income classification on multivariable analysis, and significantly correlated with the number of acute hospital beds per 100,000 population (r = 0.19; p = 0.047), the universal health coverage service coverage index (r = 0.35; p = 0.003), and the Human Development Index (r = 0.40; p = 0.001) on univariable analysis.

CONCLUSIONS

Critical care bed capacity varies widely across Asia and is significantly lower in low- and lower-middle-income than in upper-middle-income and high-income countries and regions.

A Video-Based Technique for Heart Rate and Eye Blinks Rate Estimation: A Potential Solution for Telemonitoring and Remote Healthcare

Current telemedicine and remote healthcare applications foresee different interactions between the doctor and the patient relying on the use of commercial and medical wearable sensors and internet-based video conferencing platforms. Nevertheless, the existing applications necessarily require a contact between the patient and sensors for an objective evaluation of the patient’s state. The proposed study explored an innovative video-based solution for monitoring neurophysiological parameters of potential patients and assessing their mental state. In particular, we investigated the possibility to estimate the heart rate (HR) and eye blinks rate (EBR) of participants while performing laboratory tasks by mean of facial—video analysis. The objectives of the study were focused on: (i) assessing the effectiveness of the proposed technique in estimating the HR and EBR by comparing them with laboratory sensor-based measures and (ii) assessing the capability of the video—based technique in discriminating between the participant’s resting state (Nominal condition) and their active state (Non-nominal condition). The results demonstrated that the HR and EBR estimated through the facial—video technique or the laboratory equipment did not statistically differ (p > 0.1), and that these neurophysiological parameters allowed to discriminate between the Nominal and Non-nominal states (p < 0.02).

Predictors of mortality and cost among surgical patients requiring rapid response team activation

Background

Prior studies of rapid response team (RRT) implementation for surgical patients have demonstrated mixed results with respect to reductions in poor outcomes. The aim of this study was to identify predictors of in-hospital mortality and hospital costs among surgical inpatients requiring RRT activation.

Methods

We analyzed data prospectively collected from May 2012 to May 2016 at The Ottawa Hospital. We included patients who were at least 18 years of age, who were admitted to hospital, who received either preoperative or postoperative care, and and who required RRT activation. We created a multivariable logistic regression model to describe mortality predictors and a multivariable generalized linear model to describe cost predictors.

Results

We included 1507 patients. The in-hospital mortality rate was 15.9%. The patient-related factors most strongly associated with mortality included an Elixhauser Comorbidity Index score of 20 or higher (odds ratio [OR] 3.60, 95% confidence interval [CI] 1.96-6.60) and care designations excluding admission to the intensive care unit and cardiopulmonary resuscitation (OR 3.52, 95% CI 2.25-5.52). The strongest surgical predictors included neurosurgical admission (OR 2.09, 95% CI 1.17-3.75), emergent surgery (OR 2.04, 95% CI 1.37-3.03) and occurrence of 2 or more operations (OR 1.73, 95% CI 1.21-2.46). Among RRT factors, occurrence of 2 or more RRT assessments (OR 2.01, 95% CI 1.44-2.80) conferred the highest mortality. Increased cost was strongly associated with admitting service, multiple surgeries, multiple RRT assessments and medical comorbidity.

Conclusion

RRT activation among surgical inpatients identifies a population at high risk of death. We identified several predictors of mortality and cost, which represent opportunities for future quality improvement and patient safety initiatives.

The Association between Discharge Delay from Intensive Care and Patient Outcomes

Rationale: ICU discharge delay occurs when a patient is considered ready to be discharged but remains in the ICU. The effect of discharge delay on patient outcomes is uncertain.Objectives: To investigate the association between discharge delay and patient outcomes including hospital mortality, readmission to ICU, and length of hospital stay after ICU discharge.Methods: Data were accessed from the Australian and New Zealand Intensive Care Society Adult Patient Database between 2011 and 2019. Descriptive analyses and hierarchical logistic and Cox proportional hazards regression were used to examine association between discharge delay and adjusted outcomes. Patients were stratified and analyzed by categories of mortality risk at ICU admission.Measurements and Main Results: The study included 1,014,540 patients from 190 ICUs: 756,131 (75%) were discharged within 6 hours of being deemed ready, with 137,042 (13%) discharged in the next 6 hours; 17,656 (2%) were delayed 48-72 hours; 31,389 (3.1%) died in hospital; and 45,899 (4.5%) patients were readmitted to ICU. Risk-adjusted mortality declined with increasing discharge delay and was lowest at 48-72 hours (adjusted odds ratio, 0.87; 95% confidence interval, 0.79-0.94). The effect was seen in patients with predicted risk of death on admission to ICU of greater than 5% (adjusted odds ratio, 0.77; 95% confidence interval, 0.70-0.84). There was a progressive reduction in adjusted odds of readmission with increasing discharge delay.Conclusions: Increasing discharge delay in ICUs is associated with reduced likelihood of mortality and ICU readmission in high-risk patients. Consideration should be given to delay the discharge of patients with high risk of death on ICU admission.

Dynamics of colonization in patients with health care-associated infections at step-down care units from a tertiary care hospital in Mexico

BACKGROUND

Patient colonization has been suggested as a risk factor in hospital-associated infections (HAI) development, which are of the most frequent complications in hospitals.

OBJECTIVE

To examine the colonization process and possible transmission routes of HAI-causative agents in step-down care unit (SDCU) patients.

METHODS

Patients admitted to SDCU within 48 hours of admission that had no evidence of infection present, nurse health care workers (HCWs), and relatives of infected patients were included. Participants were sampled and cultured at different times in different body surfaces. Environmental surfaces and medical devices were also sampled. Antimicrobial susceptibility and clonal relatedness were determined in selected HAI-causative agents, environmental, nurse HCWs, and patient isolates.

RESULTS

A total of 2,735 isolates corresponding to 126 species were identified. Of the 11 patients included, 8 developed 1-3 HAIs (14 isolates recovered as HAI-causative agents). Acinetobacter baumannii (36% of infections) was distributed in clone A (n = 1), B (n = 3), and F (n = 1); Klebsiella pneumoniae (29%) in clones A (n = 2) and B (n = 1) and Enterobacter cloacae (7%) in one clone A. Causative agents were progressively recovered from environmental surfaces and medical devices before and after HAI onset.

CONCLUSIONS

Highly related strains were recovered from environmental surfaces, patients, and nurse HCWs before and after HAI outcome. This is a first step to examine colonization process in SDCU settings and provides a base for further studies to understand colonization dynamics and the role of patients' relatives and nurse HCWs in organism transmission in the SDCU.

Impact of atrial fibrillation in critically ill patients admitted to a stepdown unit

BACKGROUND

Limited data are available on the clinical course of patients with history of atrial fibrillation (AF) when admitted in an intensive care environment. We aimed to describe the occurrence of major adverse events in AF patients admitted to a stepdown care unit (SDU) and to analyse clinical factors associated with outcomes, impact of dicumarolic oral anticoagulant (OAC) therapy impact and performance of clinical risk scores in this setting.

MATERIALS AND METHODS

Single-centre, observational retrospective analysis on a population of subjects with AF history admitted to a SDU. Therapeutic failure (composite of transfer to ICU or death) was considered the main study outcome. Occurrence of stroke and major bleeding (MH) was considered as secondary outcomes. The performance of clinical risk scores was evaluated.

RESULTS

A total of 1430 consecutive patients were enrolled. 194 (13.6%) reported the main outcome. Using multivariate logistic regression, age (odds ratio [OR]: 1.03, 95% confidence interval [CI]: 1.01-1.05), acute coronary syndrome (OR:3.10, 95% CI: 1.88-5.12), cardiogenic shock (OR:10.06, 95% CI: 5.37-18.84), septic shock (OR:5.19,95%CI:3.29-18.84), acute respiratory failure (OR:2.49, 95% CI: 1.67-3.64) and OAC use (OR: 1.61, 95% CI: 1.02-2.55) were independently associated with main outcome. OAC prescription was associated with stroke risk reduction and to both MH and main outcome risk increase. CHA₂ DS₂ -VASc (c-index: 0.545, P = .117 for stroke) and HAS-BLED (c-index:0.503, P = .900 for MH) did not significantly predict events occurrence.

CONCLUSIONS

In critically ill AF patients admitted to a SDU, adverse outcomes are highly prevalent. OAC use is associated to an increased risk of therapeutic failure, clinical scores seem unhelpful in predicting stroke and MH, suggesting a highly individualized approach in AF management in this setting.

How the high acuity unit changes mortality in the intensive care unit: a retrospective before-and-after study

PURPOSE

High acuity units (HAU) are hospital units that provide patients with more acute care and closer monitoring than a general hospital ward but are not as resource intensive as an intensive care unit (ICU). Nevertheless, the impact of opening a HAU on ICU patient outcomes remains poorly defined. We investigated how the creation of a HAU impacted patient outcomes in the ICU.

METHODS

This historical cohort study compared ICU patient in-hospital mortality, ICU length of stay (LOS), and hospital LOS before and after the creation of a HAU in a tertiary-care hospital with a medical/surgical ICU between 1 January 2013 and 31 December 2017.

RESULTS

Data from 4,380 patients (984 in the pre-HAU group and 3,396 in the post-HAU group) were analyzed. In this cohort of ICU patients, 360 (37%) died in the pre-HAU group before the creation of a HAU, and 1,074 (32%) died in the post-HAU group after the creation of a HAU. The creation of a HAU was associated with lower relative risk of in-hospital mortality (adjusted risk ratio, 0.80; 95% confidence interval [CI], 0.72 to 0.89; P < 0.001). The creation of a HAU was also associated with reduced ICU and hospital LOS with a 12% increase in the rate of ICU discharge (adjusted sub-distribution hazard ratio [SHR], 1.12; 95% CI, 1.02 to 1.23; P = 0.02) and a 26% increase in the rate of hospital discharge (adjusted SHR, 1.26; 95% CI, 1.14 to 1.39; P < 0.001), when accounting for the competing risk of death.

CONCLUSIONS

These data support the hypothesis that the creation of a HAU may be associated with reduced in-hospital mortality, ICU LOS, and hospital LOS for ICU patients.

FUTURES: Forecasting the Unexpected Transfer to Upgraded REsources in Sepsis

Sepsis is one of the most deadly and costly diseases. The Emergency Department (ED) is the initial point of care for most patients who become hospitalized due to sepsis. Quantifying the accuracy of ED clinician forecasting regarding patients' clinical trajectories and outcomes can provide insight into clinical decision making and inform sepsis management.

SOFA and qSOFA usefulness for in-hospital death prediction of elderly patients admitted for suspected infection in internal medicine

PURPOSE

To reduce intensive care unit overcrowding and optimize resources, elderly patients affected by suspected infection with declining clinical conditions could be managed in internal medicine departments with stepdown beds. However, commonly used prognostic scores, as Sequential Organ Failure Assessment (SOFA) or quick SOFA (qSOFA) have never been studied in this specific setting. The aim of this study was to evaluate the role and the accuracy of SOFA and qSOFA as prognostic scores in a population of elderly patients with suspected infection admitted to stepdown beds of two internal medicine departments.

METHODS

Elderly patients admitted from the emergency department in the stepdown beds of two different internal medicine departments for suspected infection were assessed with SOFA and qSOFA scores at the admission. All patients were treated according to current guidelines. Age, sex, comorbidities, Charlson comorbidity index, SOFA and qSOFA were assessed. In-hospital death and length of hospital admission were also recorded.

RESULTS

390 subjects were enrolled. In-hospital death occurred in 144 (36.9%) patients; we observed that both SOFA (HR 1.189; 95% CI 1.128-1.253; p < 0.0001) and qSOFA (HR 1.803; 95% CI 1.503-2.164; p < 0.0001) scores were independently associated with an increased risk of in-hospital death. However, the accuracy of both SOFA (AUC: 0.686; 95% CI 0.637-0.732; p < 0.0001) and qSOFA (AUC: 0.680; 95% CI 0.641-0.735; p < 0.0001) in predicting in-hospital death was low in this population.

CONCLUSION

Elderly patients admitted to stepdown beds for suspected infection experience a high rate of in-hospital death; both SOFA and qSOFA scores can be useful to identify a group of patients who can benefit from admission to an intermediate care environment, however their accuracy is low.

Effects of the intermediate care unit on the oldest-old general surgical patients: a retrospective, pre- and postintervention study

BACKGROUND

Whether the intermediate care unit (IMCU) is beneficial for the oldest-old (aged ≥ 80 years) general surgical patients still remains unknown. We aimed to investigate the impacts of IMCU on the clinical outcomes and cost in this population.

METHODS

A retrospective, pre- and postintervention study was performed in this population in a university teaching hospital. The primary outcome was the occurrence of life-threatening complications including death or unplanned ICU admission after the surgeries. Secondary outcomes included the comparisons of the hospitalization expenses, the hospital length of stay (LOS) and the postoperative LOS between the pre-IMCU group and the IMCU group.

RESULTS

Two hundred and seventeen patients were enrolled, including 98 in the pre-IMCU group and 119 in the IMCU group. After the introduction of IMCU, the occurrence of life-threatening complications significantly dropped from 11.2 to 2.5% (P = 0.012). The total hospitalization expenses showed a nonsignificant decreasing trend in the IMCU group (pre-IMCU group: 85856.3 ± 66583.7 RMB vs IMCU group: 78936.4 ± 36710.4 RMB). The treatment fee was much lower in the IMCU group (IMCU group: 4930.0 ± 4280.2 RMB vs pre-IMCU group: 7378.2 ± 10096.7 RMB, P = 0.017). Both the hospital LOS (IMCU group: 20.3 ± 10.3 days vs pre-IMCU group: 19.5 ± 9.0 days) and the postoperative hospital LOS (IMCU group: 12.0 ± 8.1 days vs pre-IMCU group: 11.2 ± 7.0 days) were not statistically different in the two groups.

CONCLUSIONS

The allocation of the oldest-old surgical patients who do not need organ support therapy in the ICU to IMCU rather than in the standard wards was associated with a significant decrease in postoperative life-threatening complications and treatment fee.

TRIAL REGISTRATION

This study was registered at https://www.chictr.org.cn (ChiCTR2000030639).

The Impact of Step-Down Unit Care on Patient Outcomes After ICU Discharge

Supplemental Digital Content is available in the text.

Objectives:

To examine whether and how step-down unit admission after ICU discharge affects patient outcomes.

Design:

Retrospective study using an instrumental variable approach to remove potential biases from unobserved differences in illness severity for patients admitted to the step-down unit after ICU discharge.

Setting:

Ten hospitals in an integrated healthcare delivery system in Northern California.

Patients:

Eleven-thousand fifty-eight episodes involving patients who were admitted via emergency departments to a medical service from July 2010 to June 2011, were admitted to the ICU at least once during their hospitalization, and were discharged from the ICU to the step-down unit or the ward.

Interventions:

None.

Measurements and Main Results:

Using congestion in the step-down unit as an instrumental variable, we quantified the impact of step-down unit care in terms of clinical and operational outcomes. On average, for ICU patients with lower illness severity, we found that availability of step-down unit care was associated with an absolute decrease in the likelihood of hospital readmission within 30 days of 3.9% (95% CI, 3.6–4.1%). We did not find statistically significant effects on other outcomes. For ICU patients with higher illness severity, we found that availability of step-down unit care was associated with an absolute decrease in in-hospital mortality of 2.5% (95% CI, 2.3–2.6%), a decrease in remaining hospital length-of-stay of 1.1 days (95% CI, 1.0–1.2 d), and a decrease in the likelihood of ICU readmission within 5 days of 3.6% (95% CI, 3.3–3.8%).

Conclusions:

This study shows that there exists a subset of patients discharged from the ICU who may benefit from care in an step-down unit relative to that in the ward. We found that step-down unit care was associated with statistically significant improvements in patient outcomes especially for high-risk patients. Our results suggest that step-down units can provide effective transitional care for ICU patients.

The Prognostic Role of Procalcitonin in Critically Ill Patients Admitted in a Medical Stepdown Unit: A Retrospective Cohort Study

Procalcitonin (PCT) is a a marker of bacterial infection. Its prognostic role in the critically-ill patient, however, is still object of debate. Aim of this study was to evaluate the capacity of admission PCT (aPCT) in assessing the prognosis of the critically-ill patient regardless the presence of bacterial infection. A single-cohort, single-center retrospective study was performed evaluating critically-ill patients admitted to a stepdown care unit. Age, sex, Simplified Acute Physiology Score II (SAPS-II), shock, troponin-I, aPCT, serum creatinine, cultures and clinical endpoints (in-hospital mortality or Intensive Care Unit (ICU) transfer) were collected. Time free from adverse event (TF-AE) was defined as the time between hospitalization and occurrence of one of the clinical endpoints, and calculated with Kaplan-Meier curves. We engineered a new predictive model (POCS) adopting aPCT, age and shock.We enrolled 1063 subjects: 450 reached the composite outcome of death or ICU transfer. aPCT was significantly higher in this group, where it predicted TF-AE both in septic and non-septic patients. aPCT and POCS showed a good prognostic performance in the whole sample, both in septic and non-septic patients. aPCT showed a good prognostic accuracy, adding informations on the rapidity of clinical deterioration. POCS model reached a performance similar to SAPS-II.

Medical surveillance unit: patient characteristics, outcome, and quality of care in Saskatchewan, Canada

OBJECTIVE

Intermediate care units provide a high level of care to complex patients and are becoming increasingly popular in North America. Despite the growing popularity of Intermediate care units, very little is known about them. This study explored a typical Intermediate care unit, identifying patient characteristics including demographics, comorbidities, length of stay, as well as primary and secondary diagnosis and mortality.

RESULTS

A total of 200 patients chart were reviewed, of which, 102 were male, and 89 patients were younger than 65 years old. Diabetes, hypertension, and chronic obstructive pulmonary disease were common among patients with a prevalence of 33.5%, 56%, and 32.5%, respectively. Alcohol use disorder, asthma, liver disease and IV drug abuse were much more common in patients younger than 65 years. The average length of stay was 5.31 days regardless of age. Almost two-thirds of the patients in the Intermediate care unit were admitted directly from the emergency room. The mortality rate among the patients studied was 9.5%. The most common admitting diagnosis was respiratory diseases such as chronic obstructive pulmonary disease or Pneumonia (38.0%), followed by cardiac disorders which were predominantly arrhythmias and congestive heart failure (27.0%).

Time to Recognition of Sepsis in the Emergency Department Using Electronic Health Record Data: A Comparative Analysis of Systemic Inflammatory Response Syndrome, Sequential Organ Failure Assessment, and Quick Sequential Organ Failure Assessment

OBJECTIVES

Early identification of sepsis is critical to improving patient outcomes. Impact of the new sepsis definition (Sepsis-3) on timing of recognition in the emergency department has not been evaluated. Our study objective was to compare time to meeting systemic inflammatory response syndrome (Sepsis-2) criteria, Sequential Organ Failure Assessment (Sepsis-3) criteria, and quick Sequential Organ Failure Assessment criteria using electronic health record data.

DESIGN

Retrospective, observational study.

SETTING

The emergency department at the University of California, San Francisco.

PATIENTS

Emergency department encounters between June 2012 and December 2016 for patients greater than or equal to 18 years old with blood cultures ordered, IV antibiotic receipt, and identification with sepsis via systemic inflammatory response syndrome or Sequential Organ Failure Assessment within 72 hours of emergency department presentation.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

We analyzed timestamped electronic health record data from 16,612 encounters identified as sepsis by greater than or equal to 2 systemic inflammatory response syndrome criteria or a Sequential Organ Failure Assessment score greater than or equal to 2. The primary outcome was time from emergency department presentation to meeting greater than or equal to 2 systemic inflammatory response syndrome criteria, Sequential Organ Failure Assessment greater than or equal to 2, and/or greater than or equal to 2 quick Sequential Organ Failure Assessment criteria. There were 9,087 patients (54.7%) that met systemic inflammatory response syndrome-first a median of 26 minutes post-emergency department presentation (interquartile range, 0-109 min), with 83.1% meeting Sequential Organ Failure Assessment criteria a median of 118 minutes later (interquartile range, 44-401 min). There were 7,037 patients (42.3%) that met Sequential Organ Failure Assessment-first, a median of 113 minutes post-emergency department presentation (interquartile range, 60-251 min). Quick Sequential Organ Failure Assessment was met in 46.4% of patients a median of 351 minutes post-emergency department presentation (interquartile range, 67-1,165 min). Adjusted odds of in-hospital mortality were 39% greater in patients who met systemic inflammatory response syndrome-first compared with those who met Sequential Organ Failure Assessment-first (odds ratio, 1.39; 95% CI, 1.20-1.61).

CONCLUSIONS

Systemic inflammatory response syndrome and Sequential Organ Failure Assessment initially identified distinct populations. Using systemic inflammatory response syndrome resulted in earlier electronic health record sepsis identification in greater than 50% of patients. Using Sequential Organ Failure Assessment alone may delay identification. Using systemic inflammatory response syndrome alone may lead to missed sepsis presenting as acute organ dysfunction. Thus, a combination of inflammatory (systemic inflammatory response syndrome) and organ dysfunction (Sequential Organ Failure Assessment) criteria may enhance timely electronic health record-based sepsis identification.

The Distributions of Weekday Discharge Times at Acute Care Hospitals in the State of Florida were Static from 2010 to 2018

When hospital capacity is near census, either due to limits on the number of physical or staffed beds, delays in patients' discharge can result in domino effects of congestion for the emergency department, the intensive care units, the postanesthesia care unit, and the operating room. Hospital administrators often promote increasing the percentage of patients discharged before noon as mitigation. However, benchmark data from multiple hospitals are lacking. We studied the time of weekday inpatient discharges from all 202 acute care hospitals in the state of Florida between 2010 and 2018 using publicly available data. Statewide, the average length of stay (4.63 days) did not change, but hospital discharges increased 6.1%. There was no change over years in the percentage of patients discharged before 12 noon (13.0% ± 0.28% standard error [SE]) or before 3 PM (42.2% ± 0.25% SE). For every year, the median hour of patient discharge was 3 PM. Only 9 of the 202 hospitals (4.5%) reliably achieved a morning weekday discharge rate ≥ 20.0%. Only 19 hospitals (9.4%) in the state reliably achieved a ≥ 50.0% weekday discharge rate before 3 PM. Hospital administrators seeking to achieve earlier patient discharges can use our provided data as realistic benchmarks to guide efforts. Alternatively, administrators could plan based on a model that beds will not be reliably available for new patients until late in the afternoon and apply other well-developed operational strategies to address bottlenecks affecting the internal transfer of patients within the hospital.