Organizational characteristics, outcomes, and resource use in 78 Brazilian intensive care units: the ORCHESTRA study

Effect of mortality prediction models on resource use benchmarking of intensive care units

PURPOSE

Intensive care requires extensive resources. The ICUs' resource use can be compared using standardized resource use ratios (SRURs). We assessed the effect of mortality prediction models on the SRURs.

MATERIALS AND METHODS

We compared SRURs using different mortality prediction models: the recent Finnish Intensive Care Consortium (FICC) model and the SAPS-II model (n = 68,914 admissions). We allocated the resources to severity of illness strata using deciles of predicted mortality. In each risk and year stratum, we calculated the expected resource use per survivor from our modelling approaches using length of ICU stay and Therapeutic Intervention Scoring System (TISS) points.

RESULTS

Resource use per survivor increased from one length of stay (LOS) day and around 50 TISS points in the first decile to 10 LOS-days and 450 TISS in the tenth decile for both risk scoring systems. The FICC model predicted mortality risk accurately whereas the SAPS-II grossly overestimated the risk of death. Despite this, SRURs were practically identical and consistent.

CONCLUSIONS

SRURs provide a robust tool for benchmarking resource use within and between ICUs. SRURs can be used for benchmarking even if recently calibrated risk scores for the specific population are not available.

Antibiotic stewardship and nosocomial infection prevention in critically ill patients: a quality improvement program

OBJECTIVE

The objective of this study was to evaluate the impact of the implementation of a bundle of interventions through a "Program for Antibiotic Management and Nosocomial Infection Prevention" in the intensive care unit on antibiotic and devices use and healthcare-associated infections.

METHODS

This was a quasi-experimental study of consecutive series of cases in periods before and after the establishment of protocols and checklists for the use of antibiotics as well as other measures to prevent healthcare-associated infection as part of a quality improvement program. Antimicrobial consumption was assessed by the defined daily dose.

RESULTS

A total of 1,056 and 1,323 admissions in the pre-intervention and post-intervention phases, respectively, were evaluated. The defined daily dose per 100 patient-day decreased from 89±8 to 77±11 (p=0.100), with a decrease in carbapenems, glycopeptides, polymyxins, penicillins, and cephalosporins. The rates of ventilator and central venous catheter use decreased from 52.8 to 44.1% and from 76 to 70%, respectively. The rates of healthcare-associated infection decreased from 19.2 to 15.5%.

CONCLUSION

Quality improvement actions focused primarily on antimicrobial management and prevention of healthcare-associated infection are feasible and have the potential to decrease antibiotic use and healthcare-associated infection rates.

Characteristics and outcomes of patients admitted to intensive care units in Uganda: a descriptive nationwide multicentre prospective study

Intensive care unit (ICU) mortality rates have decreased over time. However, in low-and lower-middle income countries (LMICs), there remains an excess ICU mortality with limited understanding of patient characteristics, treatments, and outcomes from small single centre studies. We aimed therefore, to describe the characteristics, therapies and outcomes of patients admitted to all intensive care units in Uganda. A nationwide prospective observational study including all patients admitted Uganda's ICUs with available daily charts was conducted from 8th January 2018 to 1st April 2018. Socio-demographics and clinical characteristics including worst vital signs in the first 24 h of admission were recorded with calculation of the National Early Warning Score (NEWS-2) and quick Sequential Organ Function Assessment (qSOFA) score. ICU interventions were recorded during the ICU stay and patients were followed up to 28 days in ICU. The primary outcome was 28 day ICU mortality. Three-hundred fifty-one patients were analysed with mean age 39 (24.1) years, 205 (58.4%) males with 197 (56%) surgical admissions. The commonest indication for ICU admission was postoperative care (42.9%), 214 (61%) had at least one comorbidity, with hypertension 104 (48.6%) most prevalent and 35 (10%) HIV positive. The 28 day ICU mortality was 90/351 (25.6%) with a median ICU stay of 3 (1-7) days. The highest probability of death occurred during the first 10 days with more non-survivors receiving mechanical ventilation (80% vs 34%; p < 0.001), sedation/paralysis (70% vs 50%; p < 0.001), inotropic/vasopressor support (56.7% vs 22.2%; p < 0.001) and renal replacement therapy (14.4% vs 4.2%; p < 0.001). Independent predictors of ICU mortality included mechanical ventilation (HR 3.34, 95% CI 1.48-7.52), sedation/paralysis (HR 2.68, 95% CI 1.39-5.16), inotropes/vasopressor (HR 3.17,95% CI 1.89-5.29) and an HIV positive status (HR 2.28, 95% CI 1.14-4.56). This study provides a comprehensive description of ICU patient characteristics, treatment patterns, and outcomes in Uganda. It not only adds to the global body of knowledge on ICU care in resource-limited settings but also serves as a foundation for future research and policy initiatives aimed at optimizing ICU care in Sub-Saharan Africa.

Association Between In-hospital Mortality and the Institutional Factors of Intensive Care Units with a Focus on the Intensivist- to-bed Ratio: A Retrospective Cohort Study

Purpose: To elucidate the relationship between in-hospital mortality and the institutional factors of intensive care units (ICUs), with a focus on the intensivist-to-bed ratio. Methods: A retrospective cohort study was conducted using a Japanese ICU database, including adult patients admitted between April 1, 2020 and March 31, 2021. We used a multilevel logistic regression model to investigate the associations between in-hospital mortality and the following institutional factors: the intensivist-to-bed ratios on weekdays or over weekends/holidays, different work shifts, hospital-to-ICU-bed ratio, annual-ICU-admission-to-bed ratio, type of hospital, and the presence of other medical staff. Results: The study population comprised 46 503 patients admitted to 65 ICUs. The in-hospital mortality rate was 8.1%. The median numbers of ICU beds and intensivists were 12 (interquartile range [IQR] 8-14) and 4 (IQR 2-9), respectively. In-hospital mortality decreased significantly as the intensivist-to-bed ratio at 10 am on weekdays increased: the average contrast indicated a 20% (95% confidence interval [CI]: 1%-38%) reduction when the ratio increased from 0 to 0.5, and a 38% (95% CI: 9%-67%) reduction when the ratio increased from 0 to 1. The other institutional factors did not present a significant effect. Conclusions: The intensivist-to-bed ratio at 10 am on weekdays had a significant effect on in-hospital mortality. Further investigation is needed to understand the processes leading to improved outcomes.

The Association Between Prepandemic ICU Performance and Mortality Variation in COVID-19: A Multicenter Cohort Study of 35,619 Critically Ill Patients

BACKGROUND

During the COVID-19 pandemic, ICUs remained under stress and observed elevated mortality rates and high variations of outcomes. A knowledge gap exists regarding whether an ICU performing best during nonpandemic times would still perform better when under high pressure compared with the least performing ICUs.

RESEARCH QUESTION

Does prepandemic ICU performance explain the risk-adjusted mortality variability for critically ill patients with COVID-19?

STUDY DESIGN AND METHODS

This study examined a cohort of adults with real-time polymerase chain reaction-confirmed COVID-19 admitted to 156 ICUs in 35 hospitals from February 16, 2020, through December 31, 2021, in Brazil. We evaluated crude and adjusted in-hospital mortality variability of patients with COVID-19 in the ICU during the pandemic. Association of baseline (prepandemic) ICU performance and in-hospital mortality was examined using a variable life-adjusted display (VLAD) during the pandemic and a multivariable mixed regression model adjusted by clinical characteristics, interaction of performance with the year of admission, and mechanical ventilation at admission.

RESULTS

Thirty-five thousand six hundred nineteen patients with confirmed COVID-19 were evaluated. The median age was 52 years, median Simplified Acute Physiology Score 3 was 42, and 18% underwent invasive mechanical ventilation. In-hospital mortality was 13% and 54% for those receiving invasive mechanical ventilation. Adjusted in-hospital mortality ranged from 3.6% to 63.2%. VLAD in the most efficient ICUs was higher than the overall median in 18% of weeks, whereas VLAD was 62% and 84% in the underachieving and least efficient groups, respectively. The least efficient baseline ICU performance group was associated independently with increased mortality (OR, 2.30; 95% CI, 1.45-3.62) after adjusting for patient characteristics, disease severity, and pandemic surge.

INTERPRETATION

ICUs caring for patients with COVID-19 presented substantial variation in risk-adjusted mortality. ICUs with better baseline (prepandemic) performance showed reduced mortality and less variability. Our findings suggest that achieving ICU efficiency by targeting improvement in organizational aspects of ICUs may impact outcomes, and therefore should be a part of the preparedness for future pandemics.

Variation in Severity-Adjusted Resource use and Outcome for Neurosurgical Emergencies in the Intensive Care Unit

BACKGROUND

The correlation between the standardized resource use ratio (SRUR) and standardized hospital mortality ratio (SMR) for neurosurgical emergencies is not known. We studied SRUR and SMR and the factors affecting these in patients with traumatic brain injury (TBI), nontraumatic intracerebral hemorrhage (ICH), and subarachnoid hemorrhage (SAH).

METHODS

We extracted data of patients treated in six university hospitals in three countries (2015-2017). Resource use was measured as SRUR based on purchasing power parity-adjusted direct costs and either intensive care unit (ICU) length of stay (costSRURlength of stay) or daily Therapeutic Intervention Scoring System scores (costSRURTherapeutic Intervention Scoring System). Five a priori defined variables reflecting differences in structure and organization between the ICUs were used as explanatory variables in bivariable models, separately for the included neurosurgical diseases.

RESULTS

Out of 28,363 emergency patients treated in six ICUs, 6,162 patients (22%) were admitted with a neurosurgical emergency (41% nontraumatic ICH, 23% SAH, 13% multitrauma TBI, and 23% isolated TBI). The mean costs for neurosurgical admissions were higher than for nonneurosurgical admissions, and the neurosurgical admissions corresponded to 23.6-26.0% of all direct costs related to ICU emergency admissions. A higher physician-to-bed ratio was associated with lower SMRs in the nonneurosurgical admissions but not in the neurosurgical admissions. In patients with nontraumatic ICH, lower costSRURs were associated with higher SMRs. In the bivariable models, independent organization of an ICU was associated with lower costSRURs in patients with nontraumatic ICH and isolated/multitrauma TBI but with higher SMRs in patients with nontraumatic ICH. A higher physician-to-bed ratio was associated with higher costSRURs for patients with SAH. Larger units had higher SMRs for patients with nontraumatic ICH and isolated TBI. None of the ICU-related factors were associated with costSRURs in nonneurosurgical emergency admissions.

CONCLUSIONS

Neurosurgical emergencies constitute a major proportion of all emergency ICU admissions. A lower SRUR was associated with higher SMR in patients with nontraumatic ICH but not for the other diagnoses. Different organizational and structural factors seemed to affect resource use for the neurosurgical patients compared with nonneurosurgical patients. This emphasizes the importance of case-mix adjustment when benchmarking resource use and outcomes.

Non-COVID-19 intensive care admissions during the pandemic: a multinational registry-based study

BACKGROUND

The COVID-19 pandemic resulted in a large number of critical care admissions. While national reports have described the outcomes of patients with COVID-19, there is limited international data of the pandemic impact on non-COVID-19 patients requiring intensive care treatment.

METHODS

We conducted an international, retrospective cohort study using 2019 and 2020 data from 11 national clinical quality registries covering 15 countries. Non-COVID-19 admissions in 2020 were compared with all admissions in 2019, prepandemic. The primary outcome was intensive care unit (ICU) mortality. Secondary outcomes included in-hospital mortality and standardised mortality ratio (SMR). Analyses were stratified by the country income level(s) of each registry.

FINDINGS

Among 1 642 632 non-COVID-19 admissions, there was an increase in ICU mortality between 2019 (9.3%) and 2020 (10.4%), OR=1.15 (95% CI 1.14 to 1.17, p<0.001). Increased mortality was observed in middle-income countries (OR 1.25 95% CI 1.23 to 1.26), while mortality decreased in high-income countries (OR=0.96 95% CI 0.94 to 0.98). Hospital mortality and SMR trends for each registry were consistent with the observed ICU mortality findings. The burden of COVID-19 was highly variable, with COVID-19 ICU patient-days per bed ranging from 0.4 to 81.6 between registries. This alone did not explain the observed non-COVID-19 mortality changes.

INTERPRETATION

Increased ICU mortality occurred among non-COVID-19 patients during the pandemic, driven by increased mortality in middle-income countries, while mortality decreased in high-income countries. The causes for this inequity are likely multi-factorial, but healthcare spending, policy pandemic responses, and ICU strain may play significant roles.

National ICU Registries as Enablers of Clinical Research and Quality Improvement

OBJECTIVES

Clinical quality registries (CQRs) have been implemented worldwide by several medical specialties aiming to generate a better characterization of epidemiology, treatments, and outcomes of patients. National ICU registries were created almost 3 decades ago to improve the understanding of case-mix, resource use, and outcomes of critically ill patients. This narrative review describes the challenges, proposed solutions, and evidence generated by National ICU registries as facilitators for research and quality improvement.

DATA SOURCES

English language articles were identified in PubMed using phrases related to ICU registries, CQRs, outcomes, and case-mix.

STUDY SELECTION

Original research, review articles, letters, and commentaries, were considered.

DATA EXTRACTION

Data from relevant literature were identified, reviewed, and integrated into a concise narrative review.

DATA SYNTHESIS

CQRs have been implemented worldwide by several medical specialties aiming to generate a better characterization of epidemiology, treatments, and outcomes of patients. National ICU registries were created almost 3 decades ago to improve the understanding of case-mix, resource use, and outcomes of critically ill patients. The initial experience in European countries and in Oceania ensured that through locally generated data, ICUs could assess their performances by using risk-adjusted measures and compare their results through fair and validated benchmarking metrics with other ICUs contributing to the CQR. The accomplishment of these initiatives, coupled with the increasing adoption of information technology, resulted in a broad geographic expansion of CQRs as well as their use in quality improvement studies, clinical trials as well as international comparisons, and benchmarking for ICUs.

CONCLUSIONS

ICU registries have provided increased knowledge of case-mix and outcomes of ICU patients based on real-world data and contributed to improve care delivery through quality improvement initiatives and trials. Recent increases in adoption of new technologies (i.e., cloud-based structures, artificial intelligence, machine learning) will ensure a broader and better use of data for epidemiology, healthcare policies, quality improvement, and clinical trials.

Trends in perioperative practices of high-risk surgical patients over a 10-year interval

INTRODUCTION

In Brazil, data show an important decrease in morbi-mortality of high-risk surgical patients over a 10-year high. The objective of this post-hoc study was to evaluate the mechanism explaining this trend in high-risk surgical patients admitted to Brazilian ICUs in two large Brazilian multicenter cohort studies performed 10 years apart.

METHODS

The patients included in the 2 cohorts studies published in 2008 and 2018 were compared after a (1:1) propensity score matching. Patients included were adults who underwent surgeries and admitted to the ICU afterwards.

RESULTS

After matching, 704 patients were analyzed. Compared to the 2018 cohort, 2008 cohort had more postoperative infections (OR 13.4; 95%CI 6.1-29.3) and cardiovascular complications (OR 1.5; 95%CI 1.0-2.2), as well as a lower survival ICU stay (HR = 2.39, 95% CI: 1.36-4.20) and hospital stay (HR = 1.64, 95% CI: 1.03-2.62). In addition, by verifying factors strongly associated with hospital mortality, it was found that the risk of death correlated with higher intraoperative fluid balance (OR = 1.03, 95% CI 1.01-1.06), higher creatinine (OR = 1.31, 95% CI 1.1-1.56), and intraoperative blood transfusion (OR = 2.32, 95% CI 1.35-4.0). By increasing the mean arterial pressure, according to the limits of sample values from 43 mmHg to 118 mmHg, the risk of death decreased (OR = 0.97, 95% CI 0.95-0.98). The 2008 cohort had higher fluid balance, postoperative creatinine, and volume of intraoperative blood transfused and lower mean blood pressure at ICU admission and temperature at the end of surgery.

CONCLUSION

In this sample of ICUs in Brazil, high-risk surgical patients still have a high rate of complications, but with improvement over a period of 10 years. There were changes in the management of these patients over time.

Clinical characteristics and outcomes of patients with COVID-19 admitted to the intensive care unit during the first and second waves of the pandemic in Brazil: a single-center retrospective cohort study

OBJECTIVE

To describe and compare the clinical characteristics and outcomes of patients admitted to intensive care units during the first and second waves of the COVID-19 pandemic.

METHODS

In this retrospective single-center cohort study, data were retrieved from the Epimed Monitor System; all adult patients admitted to the intensive care unit between March 4, 2020, and October 1, 2021, were included in the study. We compared the clinical characteristics and outcomes of patients admitted to the intensive care unit of a quaternary private hospital in São Paulo, Brazil, during the first (May 1, 2020, to August 31, 2020) and second (March 1, 2021, to June 30, 2021) waves of the COVID-19 pandemic.

RESULTS

In total, 1,427 patients with COVID-19 were admitted to the intensive care unit during the first (421 patients) and second (1,006 patients) waves. Compared with the first wave group [median (IQR)], the second wave group was younger [57 (46-70) versus 67 (52-80) years; p<0.001], had a lower SAPS 3 Score [45 (42-52) versus 49 (43-57); p<0.001], lower SOFA Score on intensive care unit admission [3 (1-6) versus 4 (2-6); p=0.018], lower Charlson Comorbidity Index [0 (0-1) versus 1 (0-2); p<0.001], and were less frequently frail (10.4% versus 18.1%; p<0.001). The second wave group used more noninvasive ventilation (81.3% versus 53.4%; p<0.001) and high-flow nasal cannula (63.2% versus 23.0%; p<0.001) during their intensive care unit stay. The intensive care unit (11.3% versus 10.5%; p=0.696) and in-hospital mortality (12.3% versus 12.1%; p=0.998) rates did not differ between both waves.

CONCLUSION

In the first and second waves, patients with severe COVID-19 exhibited similar mortality rates and need for invasive organ support, despite the second wave group being younger and less severely ill at the time of intensive care unit admission.

The positive impact of COVID-19 on critical care: from unprecedented challenges to transformative changes, from the perspective of young intensivists

Over the past 2 years, SARS-CoV-2 infection has resulted in numerous hospitalizations and deaths worldwide. As young intensivists, we have been at the forefront of the fight against the COVID-19 pandemic and it has been an intense learning experience affecting all aspects of our specialty. Critical care was put forward as a priority and managed to adapt to the influx of patients and the growing demand for beds, financial and material resources, thereby highlighting its flexibility and central role in the healthcare system. Intensivists assumed an essential and unprecedented role in public life, which was important when claiming for indispensable material and human investments. Physicians and researchers around the world worked hand-in-hand to advance research and better manage this disease by integrating a rapidly growing body of evidence into guidelines. Our daily ethical practices and communication with families were challenged by the massive influx of patients and restricted visitation policies, forcing us to improve our collaboration with other specialties and innovate with new communication channels. However, the picture was not all bright, and some of these achievements are already fading over time despite the ongoing pandemic and hospital crisis. In addition, the pandemic has demonstrated the need to improve the working conditions and well-being of critical care workers to cope with the current shortage of human resources. Despite the gloomy atmosphere, we remain optimistic. In this ten-key points review, we outline our vision on how to capitalize on the lasting impact of the pandemic to face future challenges and foster transformative changes of critical care for the better.

Pattern of diseases and clinical outcomes in medical intensive care unit at a tertiary hospital in northeastern Tanzania: A three-year retrospective study

BACKGROUND

The availability of medical intensive care unit (MICU) services is limited, which is the main obstacle to providing optimal care to critically ill patients. Describing disease patterns and clinical outcomes will help make better use of the limited resources. This retrospective study was conducted to determine the pattern and outcome of MICU admissions to aid continuous quality improvement in obstetric care.

MATERIALS AND METHODS

This was a retrospective study conducted in a tertiary hospital in northeastern Tanzania. Data on participant characteristics were collected from patient records for all MICU admissions to identify the pattern of disease, length of stay, and clinical outcome from 1st January 2018 to 31st December 2020. Descriptive statistics were presented as frequencies, proportions, and tables. The odds ratio was generated for the relationship between MICU admission outcome and participant characteristics. A p-value <0.05 was considered statistically significant.

RESULTS

Of the 1425 patients analyzed, 780 (54.7%) were males. Most patients (61.5%) were admitted to the MICU from the emergency department. The overall mortality rate was 37.6%. Mortality was associated with being over 75 years old (OR 1.66, 95% CI 1.20-2.30, P 0.002), being transferred from the medical ward (OR 1.46, 95% CI 1.16-1.82, P 0.001), having a communicable disease (OR 2.63, 95% CI 1.98-3.50, P <0.001), and having cardiovascular disease (OR 1.46, 95% CI 1.14-1.86, P 0.002).

CONCLUSION

The overall mortality rate in the MICU was high. Elderly patients, transfers from the medical ward, and short ICU stays were significantly associated with the poor outcome of MICU patients. Further studies are needed to better appreciate the causes underlying MICU admission outcomes.

Chronic hemodialysis patients with COVID-19 cared for by the public health system have higher mortality than those treated in private facilities: analysis of the Brazilian dialysis registry

PURPOSE

Brazil is the third country globally in dialysis patients. Little is known about the impact of the type of health insurance on the outcome of these patients after COVID-19.

METHODS

We analyzed comorbidities, sociodemographic factors, and dialysis-related parameters from a retrospective cohort study of 1866 Brazilian chronic hemodialysis patients with COVID-19 from Feb 2020-July 2021. We evaluated the influence of health insurance (private vs. public) on the intensive care unit admission and 90 day fatality risk.

RESULTS

From 1866 hemodialysis patients, 455 (24%) were admitted to the intensive care unit, and 350 (19%) died. The mean age was 57.5 years, 88% had public health insurance. Crude case-fatality rate was not different between groups (private vs. public risk ratio 1.11; 95% CI 0.82-1.52, p = 0.498). In fully adjusted multivariate models, patients with private health insurance did not have a higher chance to be admitted to an intensive care unit (odds ratio 0.97; 95% CI 0.63-1.50, p = 0.888), but they presented a lower death risk (hazard ratio 0.56; 95% CI 0.37-0.85, p = 0.006).

CONCLUSION

The type of health insurance did not influence the access of hemodialysis patients with COVID-19 to an intensive care unit, but patients with private health insurance had a lower mortality risk.

Hospital characteristics associated with COVID-19 mortality: data from the multicenter cohort Brazilian Registry

The COVID-19 pandemic caused unprecedented pressure over health care systems worldwide. Hospital-level data that may influence the prognosis in COVID-19 patients still needs to be better investigated. Therefore, this study analyzed regional socioeconomic, hospital, and intensive care units (ICU) characteristics associated with in-hospital mortality in COVID-19 patients admitted to Brazilian institutions. This multicenter retrospective cohort study is part of the Brazilian COVID-19 Registry. We enrolled patients ≥ 18 years old with laboratory-confirmed COVID-19 admitted to the participating hospitals from March to September 2020. Patients' data were obtained through hospital records. Hospitals' data were collected through forms filled in loco and through open national databases. Generalized linear mixed models with logit link function were used for pooling mortality and to assess the association between hospital characteristics and mortality estimates. We built two models, one tested general hospital characteristics while the other tested ICU characteristics. All analyses were adjusted for the proportion of high-risk patients at admission. Thirty-one hospitals were included. The mean number of beds was 320.4 ± 186.6. These hospitals had eligible 6556 COVID-19 admissions during the study period. Estimated in-hospital mortality ranged from 9.0 to 48.0%. The first model included all 31 hospitals and showed that a private source of funding (β = - 0.37; 95% CI - 0.71 to - 0.04; p = 0.029) and location in areas with a high gross domestic product (GDP) per capita (β = - 0.40; 95% CI - 0.72 to - 0.08; p = 0.014) were independently associated with a lower mortality. The second model included 23 hospitals and showed that hospitals with an ICU work shift composed of more than 50% of intensivists (β = - 0.59; 95% CI - 0.98 to - 0.20; p = 0.003) had lower mortality while hospitals with a higher proportion of less experienced medical professionals had higher mortality (β = 0.40; 95% CI 0.11-0.68; p = 0.006). The impact of those association increased according to the proportion of high-risk patients at admission. In-hospital mortality varied significantly among Brazilian hospitals. Private-funded hospitals and those located in municipalities with a high GDP had a lower mortality. When analyzing ICU-specific characteristics, hospitals with more experienced ICU teams had a reduced mortality.

Performance evaluation of a multinational data platform for critical care in Asia

Background: The value of medical registries strongly depends on the quality of the data collected. This must be objectively measured before large clinical databases can be promoted for observational research, quality improvement, and clinical trials. We aimed to evaluate the quality of a multinational intensive care unit (ICU) network of registries of critically ill patients established in seven Asian low- and middle-income countries (LMICs). Methods: The Critical Care Asia federated registry platform enables ICUs to collect clinical, outcome and process data for aggregate and unit-level analysis. The evaluation used the standardised criteria of the Directory of Clinical Databases (DoCDat) and a framework for data quality assurance in medical registries. Six reviewers assessed structure, coverage, reliability and validity of the ICU registry data. Case mix and process measures on patient episodes from June to December 2020 were analysed. Results: Data on 20,507 consecutive patient episodes from 97 ICUs in Afghanistan, Bangladesh, India, Malaysia, Nepal, Pakistan and Vietnam were included. The quality level achieved according to the ten prespecified DoCDat criteria was high (average score 3.4 out of 4) as was the structural and organizational performance -- comparable to ICU registries in high-income countries. Identified strengths were types of variables included, reliability of coding, data completeness and validation. Potential improvements included extension of national coverage, optimization of recruitment completeness validation in all centers and the use of interobserver reliability checks. Conclusions: The Critical Care Asia platform evaluates well using standardised frameworks for data quality and equally to registries in resource-rich settings.

Performance evaluation of a multinational data platform for critical care in Asia

Background: The value of medical registries strongly depends on the quality of the data collected. This must be objectively measured before large clinical databases can be promoted for observational research, quality improvement, and clinical trials. We aimed to evaluate the quality of a multinational intensive care unit (ICU) network of registries of critically ill patients established in seven Asian low- and middle-income countries (LMICs). Methods: The Critical Care Asia federated registry platform enables ICUs to collect clinical, outcome and process data for aggregate and unit-level analysis. The evaluation used the standardised criteria of the Directory of Clinical Databases (DoCDat) and a framework for data quality assurance in medical registries. Six reviewers assessed structure, coverage, reliability and validity of the ICU registry data. Case mix and process measures on patient episodes from June to December 2020 were analysed. Results: Data on 20,507 consecutive patient episodes from 97 ICUs in Afghanistan, Bangladesh, India, Malaysia, Nepal, Pakistan and Vietnam were included. The quality level achieved according to the ten prespecified DoCDat criteria was high (average score 3.4 out of 4) as was the structural and organizational performance -- comparable to ICU registries in high-income countries. Identified strengths were types of variables included, reliability of coding, data completeness and validation. Potential improvements included extension of national coverage, optimization of recruitment completeness validation in all centers and the use of interobserver reliability checks. Conclusions: The Critical Care Asia platform evaluates well using standardised frameworks for data quality and equally to registries in resource-rich settings.

Family visitation policies, facilities, and support in Australia and New Zealand intensive care units: A multicentre, registry-linked survey

OBJECTIVE

The objective of this study was to describe family visitation policies, facilities, and support in Australia and New Zealand (ANZ) intensive care units (ICUs).

METHODS

A survey was distributed to all Australian and New Zealand ICUs reporting to the Australian and New Zealand Intensive Care Society Centre for Outcomes and Resources Evaluation Critical Care Resources (CCR) Registry in 2018. Data were obtained from the survey and from data reported to the CCR Registry. For this study, open visiting (OV) was defined as allowing visitors for more than 14 h per day.

SETTING AND PARTICIPANTS

This study included all Australian and New Zealand ICUs reporting to CCR in 2018.

MAIN OUTCOME MEASURES

The main outcome measures were family access to the ICU and visiting hours, characteristics of the ICU waiting area, and information provided to and collected from the relatives.

FINDINGS

Fifty-six percent (95/170) of ICUs contributing to CCR responded, representing 44% of ANZ ICUs and a range of rural, metropolitan, tertiary, and private ICUs. Visiting hours ranged from 1.5 to 24 h per day, with 68 (72%) respondent ICUs reporting an OV policy, of which 64 (67%) ICUs were open to visitors 24 h a day. A waiting room was part of the ICU for 77 (81%) respondent ICUs, 74 (78%) reported a separate dedicated room for family meetings, and 83 (87%) reported available social worker services. Most ICUs reported facilities for sleeping within or near the hospital. An information booklet was provided by 64 (67%) ICUs. Only six (6%) ICUs required personal protective equipment for all visitors, and 76 (80%) required personal protective equipment for patients with airborne precautions.

CONCLUSIONS

In 2018, the majority of ANZ ICUs reported liberal visiting policies, with substantial facilities and family support.

Antibiotic Consumption and Deviation of Prescribed Daily Dose From the Defined Daily Dose in Critical Care Patients: A Point-Prevalence Study

Background: The consumption of antibiotics is one of the metrics used to evaluate the impact of antimicrobial stewardship programs (ASP). The aim of this study was to determine the prevalence of antibiotic consumption in Brazilian intensive care units (ICUs) and estimate the deviation of the prescribed daily dose (PDD) from the defined daily dose (DDD).

Methods: This is a multicenter, observational, point-prevalence study carried out in adult ICUs of 8 Brazilian hospitals from August 2019, to February 2020. We collected data on the patient’s demographic and clinical characteristics, antibiotic therapy, classification and site of infections. The DU90 (antibiotic accounting for 90% of the volume utilized) was calculated, and the antibiotics were classified by the Anatomical Therapeutic Chemical (ATC) Index and the World Health Organization (WHO) Access, Watch, Reserve (AWaRe) groups. For the most prevalent antibiotics, the deviation of PDD from DDD was determined.

Results: Three hundred thirty-two patients from 35 ICUs were analyzed. The prevalence of antibiotic use was 52.4%. The patients in use of antibiotics were predominantly over 60 years of age (81.6%) with pulmonary infections (45.8%). A predominance of empirical regimens was observed (62.6%) among antibiotic therapies. The highest frequencies of prescriptions observed were for piperacillin + tazobactam (16.1%), meropenem (13.3%), amoxicillin + clavulanate (7.2%), azithromycin (7.2%), and teicoplanin (6.1%). The watch (64.2%) and reserve (9.6%) categories of the AWaRe classification accounted for 73.8% of all antibiotics, and they were prescribed alone or in combinations. High variability of doses was observed for the most prescribed antibiotics, and large deviations of PDD from the DDD were observed for meropenem, teicoplanin, and tigecycline.

Conclusions: The high prevalence of antibiotic prescription was related to a predominance of empirical regimens and antibiotics belonging to the WHO Watch classification. High variability of doses and large deviations of PDD from DDD for meropenem, teicoplanin, and tigecycline was observed, suggesting that DDD may be insufficient to monitor the consumption of these antibiotics in the ICU population. The variability of doses found for the most prescribed antibiotics suggests the need for monitoring and intervention targets for antibiotic stewardship teams.

Perceptions of Critical Care Shortages, Resource Use, and Provider Well-being During the COVID-19 Pandemic: A Survey of 1,985 Health Care Providers in Brazil

BACKGROUND

Brazil has been disproportionately affected by COVID-19, placing a high burden on ICUs.

RESEARCH QUESTION

Are perceptions of ICU resource availability associated with end-of-life decisions and burnout among health care providers (HCPs) during COVID-19 surges in Brazil?

STUDY DESIGN AND METHODS

We electronically administered a survey to multidisciplinary ICU HCPs during two 2-week periods (in June 2020 and March 2021) coinciding with COVID-19 surges. We examined responses across geographical regions and performed multivariate regressions to explore factors associated with reports of: (1) families being allowed less input in decisions about maintaining life-sustaining treatments for patients with COVID-19 and (2) emotional distress and burnout.

RESULTS

We included 1,985 respondents (57% physicians, 14% nurses, 12% respiratory therapists, 16% other HCPs). More respondents reported shortages during the second surge compared with the first (P < .05 for all comparisons), including lower availability of intensivists (66% vs 42%), ICU nurses (53% vs 36%), ICU beds (68% vs 22%), and ventilators for patients with COVID-19 (80% vs 70%); shortages were highest in the North. One-quarter of HCPs reported that families were allowed less input in decisions about maintaining life-sustaining treatments for patients with COVID-19, which was associated with lack of intensivists (adjusted relative risk [aRR], 1.37; 95% CI, 1.05-1.80) and ICU beds (aRR, 1.71; 95% CI, 1.16-2.62) during the first surge and lack of N95 masks (aRR, 1.43; 95% CI, 1.10-1.85), noninvasive positive pressure ventilation (aRR, 1.56; 95% CI, 1.18-2.07), and oxygen concentrators (aRR, 1.50; 95% CI, 1.13-2.00) during the second surge. Burnout was higher during the second surge (60% vs 71%; P < .001), associated with witnessing colleagues at one's hospital contract COVID-19 during both surges (aRR, 1.55 [95% CI, 1.25-1.93] and 1.31 [95% CI, 1.11-1.55], respectively), as well as worries about finances (aRR, 1.28; 95% CI, 1.02-1.61) and lack of ICU nurses (aRR, 1.25; 95% CI, 1.02-1.53) during the first surge.

INTERPRETATION

During the COVID-19 pandemic, ICU HCPs in Brazil experienced substantial resource shortages, health care disparities between regions, changes in end-of-life care associated with resource shortages, and high proportions of burnout.

Coping with complexity in the COVID pandemic: An exploratory study of intensive care units

Although the COVID pandemic has challenged the resilience of health services in general, this impact has been most visible in intensive care units (ICUs). This paper presents an exploratory study of how ICUs in Brazil have coped with the complexity stemming from the pandemic. Five guidelines for coping with complexity were adopted as analytical framework. The guidelines were concerned with slack resources, diversity of perspectives, visibility, work-as-done, and unintended consequences. There were three main sources of data: (i) a survey with respondents from 33 ICUs, which indicated their agreement with 23 statements related to the use of the complexity guidelines; (ii) semistructured interviews with seven survey respondents and two public health officials; and (iii) 20 h of observations of the meetings of a municipal bed management committee. Seventy resilience practices were identified from these data sources. Most of these practices (n = 30) were related to the guideline on slack resources, which were commonly obtained from other hospital units. As for the survey data, the statement related to the availability of extra or standby human resources obtained the lowest score, reinforcing the key role of slack resources. Five lessons learned for coping with complexity in ICUs were drawn from our data; one lesson for each guideline. Furthermore, the survey questionnaire is a potential ICU assessment tool, which can be adapted to other health services.

Differences in ICU Outcomes According to the Type of Anticancer Drug in Lung Cancer Patients

Purpose

We investigated the intensive care unit (ICU) outcomes of patients who used targeted therapy compared to those who received cytotoxic chemotherapy.

Materials and Methods

This study was based on Korean administrative health insurance claims from 2015 to 2019. We extracted data on lung cancer patients (&gt;18 years old) who were admitted to the ICU after receiving chemotherapy.

Results

6,930 lung cancer patients who received chemotherapy within 30 days before ICU admission were identified; the patients received cytotoxic chemotherapy (85.4%, n = 5,919) and molecular targeted therapy (14.5%, n = 1,011). Grade 4 neutropenia was identified only in the cytotoxic chemotherapy group (0.6%). Respiratory failure requiring ventilator treatment was more common in the cytotoxic chemotherapy group than in the targeted therapy group (HR, 3.30; 95% CI, 2.99–3.63), and renal failure requiring renal replacement therapy was not significantly different between the two groups (HR, 1.57; 95% CI, 1.36–1.80). Patients who received targeted chemotherapy stayed longer in the ICU than the cytotoxic chemotherapy. The 28-day mortality was 23.4% (HR, 0.79; 95% CI, 0.67–0.90, p &lt; 0.05) among patients who received targeted agents compared with 29.6% among patients who received cytotoxic chemotherapy.

Conclusion

Targeted chemotherapy for lung cancer may contribute to increasing access to critical care for lung cancer patients, which may play a role in improving critical care outcomes of lung cancer patients.

A Nomogram Based on Comorbidities and Infection Location to Predict 30 Days Mortality of Immunocompromised Patients in ICU: A Retrospective Cohort Study

Background

The existing comorbidity indexes, like Charlson Comorbidity Index (CCI) and the Elixhauser Comorbidity Index (ECI), do not take infection factors into account for critically ill patients with immunocompromise, bringing about a decrease of prediction accuracy. Therefore, we attempted to incorporate infection location into the analysis to construct a rapid comorbidity scoring system independent of laboratory tests.

Methods

Data were extracted from the Multiparameter Intelligent Monitoring in Intensive Care III database. A total of 3904 critically ill patients with immunocompromise admitted to ICU were enrolled and assigned into training or validation sets according to the date of ICU admission. The predictive nomogram was constructed in the training set based on logistic regression analysis and then undergone validation in the validation set in comparison with SOFA, CCI and ECI.

Results

Factors eligible for the nomogram included patient’s age, gender, ethnicity, underlying disease of immunocompromise like metastatic cancer and leukemia, possible infection on admission including pulmonary infection, urinary tract infection and blood infection, and one comorbidity, coagulopathy. The nomogram we developed exhibited better discrimination than SOFA, CCI and ECI with an area under the receiver operating characteristic curve (AUC) of 0.739 (95% CI 0.707–0.771) and 0.746 (95% CI 0.713–0.779) in the training and validation sets, respectively. Combining the nomogram and SOFA could bring a new prediction model with a superior predictive effect in both sets (training set AUC = 0.803 95% CI 0.777–0.828, validation set AUC = 0.818 95% CI 0.783–0.854). The calibration curve exhibited coherence between the nomogram and ideal observation for two cohorts (p>0.05). Decision curve analysis revealed the clinical usefulness of the nomogram in both sets.

Conclusion

We established a nomogram that could provide an accurate assessment of 30 days ICU mortality in critically ill patients with immunocompromise, which can be employed to evaluate the short-term prognosis of those patients and bring more clinical benefits without dependence on laboratory tests.

Eventos adversos em pacientes de terapia intensiva: estudo transversal

RESUMO Objetivo: identificar a prevalência de eventos adversos e a necessidade de cuidado do paciente crítico em uma unidade de terapia intensiva. Método: estudo transversal, realizado de janeiro a março de 2020. Os eventos adversos investigados foram: lesão por pressão, extubação orotraqueal acidental, queda, perda de acesso venoso central e infecção relacionada à assistência à saúde. O número de horas necessárias para o cuidado do paciente foi mensurado pela Nursing Activities Score. As variáveis independentes categóricas foram descritas por frequências absoluta e relativa, e as contínuas, por tendência central. A medida de magnitude foi a razão de chance e considerou-se intervalo de confiança de 95%. Resultados: dos 88 pacientes avaliados, 52,3% apresentaram eventos adversos, os quais foram associados à maior necessidade de cuidados, gravidade e ao maior tempo de internação. O Nursing Activities Score médio foi 51,01% (12 h 24 min), sendo identificado um déficit de 20% a 30% de pessoal de enfermagem na unidade. Conclusão: a prevalência dos eventos adversos na unidade é alta e o déficit de pessoal de enfermagem na unidade revelou a necessidade de dimensionamento adequado de pessoal para reduzir os danos ocasionados pelos cuidados prestados aos pacientes críticos.

Adverse events in critically ill patients: a cross-sectional study

Abstract Objective: To identify the prevalence of adverse events and the critically ill patient’s need for care in an intensive care unit. Method: This is a cross-sectional study, carried out from January to March 2020. The adverse events investigated were pressure injury, accidental orotracheal extubation, fall, loss of central venous access, and healthcare-associated infection. The number of hours required for patient care was measured by the Nursing Activities Score. The categorical independent variables were described by absolute and relative frequencies, and the continuous ones, by central tendency. The magnitude measure was the odds ratio and a confidence interval of 95% was considered. Results: of the 88 patients evaluated, 52.3% had adverse events, which were associated with a greater need for care, severity, and longer hospital stay. The mean Nursing Activities Score was 51.01% (12 h 24 min), with a deficit of 20% to 30% of nursing staff in the unit being identified. Conclusion: The prevalence of adverse events in the unit is high and the shortage of nursing staff in the unit revealed the need for adequate staffing to reduce the damage caused by the care provided to critically ill patients.

Variation in severity-adjusted resource use and outcome in intensive care units

PURPOSE

Intensive care patients have increased risk of death and their care is expensive. We investigated whether risk-adjusted mortality and resources used to achieve survivors change over time and if their variation is associated with variables related to intensive care unit (ICU) organization and structure.

METHODS

Data of 207,131 patients treated in 2008-2017 in 21 ICUs in Finland, Estonia and Switzerland were extracted from a benchmarking database. Resource use was measured using ICU length of stay, daily Therapeutic Intervention Scoring System Scores (TISS) and purchasing power parity-adjusted direct costs (2015-2017; 17 ICUs). The ratio of observed to severity-adjusted expected resource use (standardized resource use ratio; SRUR) was calculated. The number of expected survivors and the ratio of observed to expected mortality (standardized mortality ratio; SMR) was based on a mortality prediction model covering 2015-2017. Fourteen a priori variables reflecting structure and organization were used as explanatory variables for SRURs in multivariable models.

RESULTS

SMR decreased over time, whereas SRUR remained unchanged, except for decreased TISS-based SRUR. Direct costs of one ICU day, TISS score and ICU admission varied between ICUs 2.5-5-fold. Differences between individual ICUs in both SRUR and SMR were up to > 3-fold, and their evolution was highly variable, without clear association between SRUR and SMR. High patient turnover was consistently associated with low SRUR but not with SMR.

CONCLUSION

The wide and independent variation in both SMR and SRUR suggests that they should be used together to compare the performance of different ICUs or an individual ICU over time.

Organizational characteristics of European pediatric onco-critical care: An international cross-sectional survey

BACKGROUND

Intensified treatment protocols have improved survival of pediatric oncology patients. However, these treatment protocols are associated with increased treatment-related morbidity requiring admission to pediatric intensive care unit (PICU). We aimed to describe the organizational characteristics and processes of care for this patient group across PICUs in Europe.

METHODS

A web-based survey was sent to PICU directors or representative physicians between February and June 2021.

RESULTS

Responses were obtained from 77 PICUs of 12 European countries. Organizational characteristics were similar across the different countries of Europe. The median number of PICU beds was 12 (IQR 8-16). The majority of the PICUs was staffed by pediatric intensivists and had a 24/7 intensivist coverage. Most PICUs had a nurse-to-patient ratio of 1:1 or 1:2. The median numbers of yearly planned and unplanned PICU admissions of pediatric cancer patients were 20 (IQR 10-45) and 10 (IQR 10-30, respectively. Oncology specific practices within PICU were less common in participating centres. This included implementation of oncology protocols in PICU (30%), daily rounds of PICU physicians on the wards (13%), joint mortality and morbidity meetings or complex patients' discussions (30% and 40%, respectively) and participation of parents during clinical rounds (40%).

CONCLUSION

Our survey provides an overview on the delivery of critical care for oncology patients in PICU across European countries. Multidisciplinary care for these vulnerable and challenging patients remains complex and challenging. Future studies need to determine the effects of differences in PICU organization and processes of care on patients' outcome.

Clinical characteristics and outcomes of COVID-19 patients admitted to the intensive care unit during the first year of the pandemic in Brazil: a single center retrospective cohort study

Objective:

To describe clinical characteristics, resource use, outcomes, and to identify predictors of in-hospital mortality of patients with COVID-19 admitted to the intensive care unit.

Methods:

Retrospective single-center cohort study conducted at a private hospital in São Paulo (SP), Brazil. All consecutive adult (≥18 years) patients admitted to the intensive care unit, between March 4, 2020 and February 28, 2021 were included in this study. Patients were categorized between survivors and non-survivors according to hospital discharge.

Results:

During the study period, 1,296 patients [median (interquartile range) age: 66 (53-77) years] with COVID-19 were admitted to the intensive care unit. Out of those, 170 (13.6%) died at hospital (non-survivors) and 1,078 (86.4%) were discharged (survivors). Compared to survivors, non-survivors were older [80 (70-88) versus 63 (50-74) years; p<0.001], had a higher Simplified Acute Physiology Score 3 [59 (54-66) versus 47 (42-53) points; p<0.001], and presented comorbidities more frequently. During the intensive care unit stay, 56.6% of patients received noninvasive ventilation, 32.9% received mechanical ventilation, 31.3% used high flow nasal cannula, 11.7% received renal replacement therapy, and 1.5% used extracorporeal membrane oxygenation. Independent predictors of in-hospital mortality included age, Sequential Organ Failure Assessment score, Charlson Comorbidity Index, need for mechanical ventilation, high flow nasal cannula, renal replacement therapy, and extracorporeal membrane oxygenation support.

Conclusion:

Patients with severe COVID-19 admitted to the intensive care unit exhibited a considerable morbidity and mortality, demanding substantial organ support, and prolonged intensive care unit and hospital stay.

Using data envelopment analysis to perform benchmarking in intensive care units

BACKGROUND

Studies using Data Envelopment Analysis to benchmark Intensive Care Units (ICUs) are scarce. Previous studies have focused on comparing efficiency using only performance metrics, without accounting for resources. Hence, we aimed to perform a benchmarking analysis of ICUs using data envelopment analysis.

METHODS

We performed a retrospective analysis on observational data of patients admitted to ICUs in Brazil (ORCHESTRA Study). The outputs in our data envelopment analysis model were the performance metrics: Standardized Mortality Ratio (SMR) and Standardized Resource Use (SRU); whereas the inputs consisted of three groups of variables that represented staffing patterns, structure, and strain, thus resulting in three models. We compared efficient and non-efficient units for each model. In addition, we compared our results to the efficiency matrix method and presented targets to each non-efficient unit.

RESULTS

We performed benchmarking in 93 ICUs and 129,680 patients. The median age was 64 years old, and mortality was 12%. Median SMR was 1.00 [interquartile range (IQR): 0.79-1.21] and SRU was 1.15 [IQR: 0.95-1.56]. Efficient units presented lower median physicians per bed ratio (1.44 [IQR: 1.18-1.88] vs. 1.7 [IQR: 1.36-2.00]) and nursing workload (168 hours [IQR: 168-291] vs 396 hours [IQR: 336-672]) but higher nurses per bed ratio (2.02 [1.16-2.48] vs. 1.71 [1.43-2.36]) compared to non-efficient units. Units from for-profit hospitals and specialized ICUs presented the best efficiency scores. Our results were mostly in line with the efficiency matrix method: the efficiency units in our models were mostly in the "most efficient" quadrant.

CONCLUSION

Data envelopment analysis provides managers the information needed to identify not only the outcomes to be achieved but what are the levels of resources needed to provide efficient care. Different perspectives can be achieved depending on the chosen variables. Its use jointly with the efficiency matrix can provide deeper understanding of ICU performance and efficiency.

Clinical Characteristics and In-Hospital Mortality of Cardiac Arrest Survivors in Brazil: A Large Retrospective Multicenter Cohort Study

Supplemental Digital Content is available in the text.

Data on cardiac arrest survivors from developing countries are scarce. This study investigated clinical characteristics associated with in-hospital mortality in resuscitated patients following cardiac arrest in Brazil.

TELE-critical Care verSus usual Care On ICU PErformance (TELESCOPE): protocol for a cluster-randomised clinical trial on adult general ICUs in Brazil

INTRODUCTION

Daily multidisciplinary rounds (DMRs) consist of systematic patient-centred discussions aiming to establish joint therapeutic goals for the next 24 hours of intensive care unit (ICU) care. The aim of the present study protocol is to evaluate whether an intervention consisting of guided DMRs, supported by a remote specialist and audit/feedback on care performance will reduce ICU length of stay compared with a control group.

METHODS AND ANALYSIS

A multicentre, controlled, cluster-randomised superiority trial including 30 ICUs in Brazil (15 intervention and 15 control), from August 2019 to June 2021. In a parallel assignment, ICUs are randomised to a complex-intervention composed by daily rounds carried out through Tele-ICU by a remote ICU physician; development of local quality indicators dashboards coupled with monthly meetings with local leadership; and dissemination of evidence-based clinical protocols versus usual care. Primary outcome is ICU length of stay. Secondary outcomes include classification of the unit according to the profiles defined by the standardised resource use and the standardised mortality rate, hospital mortality, incidence of healthcare-associated infections, ventilator-free days at 28 days, patient-days receiving oral or enteral feeding, patient-days under light sedation or alert and calm, rate of patients under normoxaemia. All adult patients admitted after the beginning of the study in each participant ICU will be enrolled. Inclusion criteria (clusters): public Brazilian ICUs with a minimum of 8 ICU beds interested/committed to participating in the study. Exclusion criteria (clusters): units with fully established DMRs by an intensivist, specialised or step-down units.

ETHICS AND DISSEMINATION

The study protocol was approved by the institutional review board (IRB) of the coordinator centre, and by IRBs of each enrolled hospital/ICU. Statistical analysis protocol is being prepared for submission before the end of patient's enrolment. Results will be disseminated through conferences, peer-reviewed journals and to each participating unit.

TRIAL REGISTRATION NUMBER

NCT03920501; Pre-results.

Impact of intensive care unit admission during handover on mortality: propensity matched cohort study

OBJECTIVE

To investigate the impact of intensive care unit admission during medical handover on mortality.

METHODS

Post-hoc analysis of data extracted from a prior study aimed at addressing the impacts of intensive care unit readmission on clinical outcomes. This retrospective, single-center, propensity-matched cohort study was conducted in a 41-bed general open-model intensive care unit. Patients were assigned to one of two cohorts according to time of intensive care unit admission: Handover Group (intensive care unit admission between 6:30 am and 7:30 am or 6:30 pm and 7:30 pm) or Control Group (intensive care unit admission between 7:31 am and 6:29 pm or 7:31 pm and 6:29 am). Patients in the Handover Group were propensity-matched to patients in the Control Group at a 1:2 ratio.

RESULTS

A total of 6,650 adult patients were admitted to the intensive care unit between June 1st 2013 and May 31st 2015. Following exclusion of non-eligible participants, 5,779 patients (389; 6.7% and 5,390; 93.3%, Handover and Control Group) were deemed eligible for propensity score matching. Of these, 1,166 were successfully matched (389; 33.4% and 777; 66.6%, Handover and Control Group). Following propensity-score matching, intensive care unit admission during handover was not associated with increased risk of intensive care unit (OR: 1.40; 95%CI: 0.92-2.11; p=0.113) or in-hospital (OR: 1.23; 95%CI: 0.85-1.75; p=0.265) mortality.

CONCLUSION

Intensive care unit admission during medical handover did not affect in-hospital mortality in this propensity-matched, single-center cohort study.

Impact of nurse staffing on patient and nurse workforce outcomes in acute care settings in low- and middle-income countries: a systematic review

OBJECTIVE

The objective of this review was to determine the effect of nurse staffing on patient and nurse workforce outcomes in acute care settings within low- and middle-income countries.

INTRODUCTION

Health care systems in low- and middle-income countries experience a high proportion of the global burden of disease, which is aggravated by several health care constraints. The high rates of both communicable and non-communicable diseases, low numbers in the workforce, poor distribution of qualified professionals, and constraints in medical supplies and resources make the provision of quality health care challenging in low- and middle-income countries. Health care systems in low- and middle-income countries, however, are still expected to address universal health care access and provide high-quality health care. Systematic reviews examining nurse staffing and its effect on patient and nurse workforce outcomes are largely from the perspective of high-income countries. There is a need to understand the evidence on nurse staffing and its impact in the context of low- and middle-income countries.

INCLUSION CRITERIA

Empirical studies that addressed acute care nurse staffing levels, such as nurse-to-patient ratio or nurses' qualifications, experience, and skill mix, and their influence on patient and nurse workforce outcomes were included in the review. Studies conducted in a low- or middle-income country were included. Outcomes must have been measured objectively using validated tools.

METHODS

Studies published until July 2019 were identified from CINAHL, PubMed, Scopus, Embase, PsycINFO, Cochrane Library, Web of Science, and ProQuest Dissertations and Theses. The JBI approach to critical appraisal, study selection, data extraction, and data synthesis was used for this review. Narrative synthesis was conducted due to high heterogeneity of included studies. The level of evidence was determined using GRADEpro.

RESULTS

Twenty-seven studies were included in this review and the level of evidence was low, mainly due to the design of included studies. Low nurse-to-patient ratio or high nurse workload was associated with higher rates of in-hospital mortality, hospital-acquired infection, medication errors, falls, and abandonment of treatment. Findings on the effect of nurse staffing on length of hospital stay and incidence of pressure ulcers were inconsistent. Extended work hours, less experience, and working night or weekend shifts all significantly increased medication errors. Higher nurse workload was linked to higher levels of nurses' burnout, needlestick and sharps injuries, intent to leave, and absenteeism.

CONCLUSIONS

Lower nurse-to-patient ratios and higher nurse workload are linked to in-hospital mortality, hospital-acquired infections, and medication errors among patients, and high levels of burnout, needlestick and sharps injuries, absenteeism, and intention to leave their job among nurses in low- and middle-income countries. The results of this review show similarities with the evidence from high-income countries regarding poor outcomes for patients and nurses. These findings should be considered in light of the lower nurse-to-patient ratios in most low- and middle-income countries.

SYSTEMATIC REVIEW REGISTRATION NUMBER

PROSPERO CRD42018119428.

Sepsis and Septic Shock in Patients With Malignancies: A Groupe de Recherche Respiratoire en Réanimation Onco-Hématologique Study

OBJECTIVES

Cancer affects up to 20% of critically ill patients, and sepsis is one of the leading reasons for ICU admission in this setting. Early signals suggested that survival might be increasing in this population. However, confirmation studies have been lacking. The goal of this study was to assess trends in survival rates over time in cancer patients admitted to the ICU for sepsis or septic shock over the last 2 decades.

DATA SOURCE

Seven European ICUs.

STUDY SELECTION

A hierarchical model taking into account the year of admission and the source dataset as random variables was used to identify risk factors for day 30 mortality.

DATA EXTRACTION

Data from cancer patients admitted to ICUs for sepsis or septic shock were extracted from the Groupe de Recherche Respiratoire en Réanimation Onco-Hématologique database (1994-2015).

DATA SYNTHESIS

Overall, 2,062 patients (62% men, median [interquartile range] age 59 yr [48-67 yr]) were included in the study. Underlying malignancies were solid tumors (n = 362; 17.6%) or hematologic malignancies (n = 1,700; 82.4%), including acute leukemia (n = 591; 28.7%), non-Hodgkin lymphoma (n = 461; 22.3%), and myeloma (n = 244; 11.8%). Two-hundred fifty patients (12%) underwent allogeneic hematopoietic stem cell transplantation and 640 (31.0%) were neutropenic at ICU admission. Day 30 mortality was 39.9% (823 deaths). The year of ICU admission was associated with significant decrease in day 30 mortality over time (odds ratio, 0.96; 95% CI, 0.93-0.98; p = 0.001). Mechanical ventilation (odds ratio, 3.25; 95% CI, 2.52-4.19; p < 0.01) and vasopressors use (odds ratio, 1.42; 95% CI, 1.10-1.83; p < 0.01) were independently associated with day 30 mortality, whereas underlying malignancy, allogeneic hematopoietic stem cell transplantation, and neutropenia were not.

CONCLUSIONS

Survival in critically ill oncology and hematology patients with sepsis improved significantly over time. As outcomes improve, clinicians should consider updating admission policies and goals of care in this population.

Outcomes of Sepsis and Septic Shock in Cancer Patients: Focus on Lactate

The number of oncological patients (OP) admitted to intensive care units (ICU) for sepsis/septic shock has dramatically increased in recent years. The definition of septic shock has been modified, adding hyperlactatemia as a severity biomarker for mortality. However, it remains poorly reported in septic OP. We performed a retrospective analysis from a prospective database of sepsis/septic shock patients admitted to our ICU between September 2017 and September 2019 and followed until day 90. We identified 251 patients and 31.9% had active oncological comorbidity, mainly solid tumor (81.3%). Septic shock criteria were met for 112 (44.6%). Hyperlactatemia was observed in 136 (54.2%) patients and this was associated with a lower survival rate. Overall 90-day mortality was 15.1%. In OP vs. non-OP, hyperlactatemia was more frequent (65% vs. 49.1%, p = 0.013) and associated with lower survival (65.4% vs. 85.7%, p = 0.046). In OP, poor performance status was also associated with lower survival (HR 7.029 [1.998-24.731], p = 0.002) In an adjusted analysis, cancer was associated with lower 90-day survival (HR 2.690 [1.402-5.160], p = 0.003). In conclusion, septic OP remains a high mortality risk group in whom lactate levels and performance status could help with better risk stratification.

Nursing workload associated with the frequency of multidisciplinary rounds: a cross-sectional study

OBJECTIVE

To assess the frequency of multidisciplinary rounds during ICU days, to evaluate the participation of diverse healthcare professionals, to identify the reasons why rounds were not performed on specific days, and whether bed occupancy rate and nurse workload were associated with the conduction of multidisciplinary rounds.

METHODS

We performed a cross-sectional study to assess the frequency of multidisciplinary rounds in four intensive care units in a cancer center. We also collected data on rates of professional participation, reasons for not performing rounds when they did not occur, and daily bed occupancy rates and assessed nurse workload by measuring the Nursing Activity Score.

RESULTS

Rounds were conducted on 595 (65.8%) of 889 surveyed intensive care unit days. Nurses, physicians, respiratory therapists, pharmacists, and infection control practitioners participated most often. Rounds did not occur due to admission of new patients at the scheduled time (136; 44.7%) and involvement of nurses in activities unrelated to patients' care (97; 31.9%). In multivariate analysis, higher Nursing Activity Scores were associated with greater odds of conducting multidisciplinary rounds (OR = 1.06; 95%CI 1.04 - 1.10; p < 0.01), whereas bed occupancy rates were not (OR = 0.99; 95%CI 0.97 - 1.00; p = 0.18).

CONCLUSION

Multidisciplinary rounds were conducted on less than two-thirds of surveyed intensive care unit days. Many rounds were cancelled due to activities unrelated to patient care. Unexpectedly, increased workload was associated with higher odds of conducting rounds. Workload is a possible trigger to discuss daily goals to improve patient outcomes and to enhance the effectiveness of multidisciplinary teams.

Understanding and Managing Sepsis in Patients With Cancer in the Era of Antimicrobial Resistance

Sepsis is a frequent complication in immunosuppressed cancer patients and hematopoietic stem cell transplant recipients that is associated with high morbidity and mortality rates. The worldwide emergence of antimicrobial resistance is of special concern in this population because any delay in starting adequate empirical antibiotic therapy can lead to poor outcomes. In this review, we aim to address: (1) the mechanisms involved in the development of sepsis and septic shock in these patients; (2) the risk factors associated with a worse prognosis; (3) the impact of adequate initial empirical antibiotic therapy given the current era of widespread antimicrobial resistance; and (4) the optimal management of sepsis, including adequate and early source control of infection, optimized antibiotic use based on the pharmacokinetic and pharmacodynamics changes in these patients, and the role of the new available antibiotics.

Actions Taken by US Hospitals to Prepare for Increased Demand for Intensive Care During the First Wave of COVID-19: A National Survey

BACKGROUND

The COVID-19 pandemic placed considerable strain on critical care resources. How US hospitals responded to this crisis is unknown.

RESEARCH QUESTION

What actions did US hospitals take to prepare for a potential surge in demand for critical care services in the context of the COVID-19 pandemic?

STUDY DESIGN AND METHODS

From September to November 2020, the chief nursing officers of a representative sample of US hospitals were surveyed regarding organizational actions taken to increase or maintain critical care capacity during the COVID-19 pandemic. Weighted proportions of hospitals for each potential action were calculated to create estimates across the entire population of US hospitals, accounting for both the sampling strategy and nonresponse. Also examined was whether the types of actions taken varied according to the cumulative regional incidence of COVID-19 cases.

RESULTS

Responses were received from 169 of 540 surveyed US hospitals (response rate, 31.3%). Almost all hospitals canceled or postponed elective surgeries (96.7%) and nonsurgical procedures (94.8%). Few hospitals created new medical units in areas not typically dedicated to health care (12.9%), and almost none adopted triage protocols (5.6%) or protocols to connect multiple patients to a single ventilator (4.8%). Actions to increase or preserve ICU staff, including use of ICU telemedicine, were highly variable, without any single dominant strategy. Hospitals experiencing a higher incidence of COVID-19 did not consistently take different actions compared with hospitals facing lower incidence.

INTERPRETATION

Responses of hospitals to the mass need for critical care services due to the COVID-19 pandemic were highly variable. Most hospitals canceled procedures to preserve ICU capacity and scaled up ICU capacity using existing clinical space and staffing. Future research linking hospital response to patient outcomes can inform planning for additional surges of this pandemic or other events in the future.

Factors associated with length of stay and death in tube-fed patients: A cross-sectional multicentre study

OBJECTIVES

To analyse the factors associated with length of stay (LOS) and death in nasogastric/nasoenteric tube (NG/NET)-fed patients.

DESIGN

A cross-sectional multicentre study.

METHOD

Data collection took place from October 2017-April 2019, and the sample consisted of 365 participants from seven Brazilian hospitals. Demographic, clinical and therapeutic data were collected from the patients' medical records. Data analysis was performed using bivariate and multivariate tests, considering a significance level of p<.05.

RESULTS

Most patients were male, older adults, with high risk of death and highly dependent on nursing care. The LOS was associated with age, patient care complexity and length of NG/NET use. Death was associated with patient age. In the multivariate analysis, patients highly dependent on nursing care, and intensive and semi-intensive care had a greater chance of dying when compared with patients receiving minimal care. Screening for factors affecting LOS and death is important to plan effective nursing care.

Characterisation of the first 250,000 hospital admissions for COVID-19 in Brazil: a retrospective analysis of nationwide data

Background

Most low-income and middle-income countries (LMICs) have little or no data integrated into a national surveillance system to identify characteristics or outcomes of COVID-19 hospital admissions and the impact of the COVID-19 pandemic on their national health systems. We aimed to analyse characteristics of patients admitted to hospital with COVID-19 in Brazil, and to examine the impact of COVID-19 on health-care resources and in-hospital mortality.

Methods

We did a retrospective analysis of all patients aged 20 years or older with quantitative RT-PCR (RT-qPCR)-confirmed COVID-19 who were admitted to hospital and registered in SIVEP-Gripe, a nationwide surveillance database in Brazil, between Feb 16 and Aug 15, 2020 (epidemiological weeks 8–33). We also examined the progression of the COVID-19 pandemic across three 4-week periods within this timeframe (epidemiological weeks 8–12, 19–22, and 27–30). The primary outcome was in-hospital mortality. We compared the regional burden of hospital admissions stratified by age, intensive care unit (ICU) admission, and respiratory support. We analysed data from the whole country and its five regions: North, Northeast, Central-West, Southeast, and South.

Findings

Between Feb 16 and Aug 15, 2020, 254 288 patients with RT-qPCR-confirmed COVID-19 were admitted to hospital and registered in SIVEP-Gripe. The mean age of patients was 60 (SD 17) years, 119 657 (47%) of 254 288 were aged younger than 60 years, 143 521 (56%) of 254 243 were male, and 14 979 (16%) of 90 829 had no comorbidities. Case numbers increased across the three 4-week periods studied: by epidemiological weeks 19–22, cases were concentrated in the North, Northeast, and Southeast; by weeks 27–30, cases had spread to the Central-West and South regions. 232 036 (91%) of 254 288 patients had a defined hospital outcome when the data were exported; in-hospital mortality was 38% (87 515 of 232 036 patients) overall, 59% (47 002 of 79 687) among patients admitted to the ICU, and 80% (36 046 of 45 205) among those who were mechanically ventilated. The overall burden of ICU admissions per ICU beds was more pronounced in the North, Southeast, and Northeast, than in the Central-West and South. In the Northeast, 1545 (16%) of 9960 patients received invasive mechanical ventilation outside the ICU compared with 431 (8%) of 5388 in the South. In-hospital mortality among patients younger than 60 years was 31% (4204 of 13 468) in the Northeast versus 15% (1694 of 11 196) in the South.

Interpretation

We observed a widespread distribution of COVID-19 across all regions in Brazil, resulting in a high overall disease burden. In-hospital mortality was high, even in patients younger than 60 years, and worsened by existing regional disparities within the health system. The COVID-19 pandemic highlights the need to improve access to high-quality care for critically ill patients admitted to hospital with COVID-19, particularly in LMICs.

Funding

National Council for Scientific and Technological Development (CNPq), Coordinating Agency for Advanced Training of Graduate Personnel (CAPES), Carlos Chagas Filho Foundation for Research Support of the State of Rio de Janeiro (FAPERJ), and Instituto de Salud Carlos III.

Number of intensivists per bed is associated with efficiency of Dutch intensive care units

PURPOSE

To measure efficiency in Intensive Care Units (ICUs) and to determine which organizational factors are associated with ICU efficiency, taking confounding factors into account.

MATERIALS AND METHODS

We used data of all consecutive admissions to Dutch ICUs between January 1, 2016 and January 1, 2019 and recorded ICU organizational factors. We calculated efficiency for each ICU by averaging the Standardized Mortality Ratio (SMR) and Standardized Resource Use (SRU) and examined the relationship between various organizational factors and ICU efficiency. We thereby compared the results of linear regression models before and after covariate adjustment using propensity scores.

RESULTS

We included 164,399 admissions from 83 ICUs. ICU efficiency ranged from 0.51-1.42 (average 0.99, 0.15 SD). The unadjusted model as well as the propensity score adjusted model showed a significant association between the ratio of employed intensivists per ICU bed and ICU efficiency. Other organizational factors had no statistically significant association with ICU efficiency after adjustment.

CONCLUSIONS

We found marked variability in efficiency in Dutch ICUs. After applying covariate adjustment using propensity scores, we identified one organizational factor, ratio intensivists per bed, having an association with ICU efficiency.

Systemic Severity and Organ Dysfunction in Subarachnoid Hemorrhage: A Large Retrospective Multicenter Cohort Study

BACKGROUND AND PURPOSE

Acute physiologic derangements and multiple organ dysfunction are common after subarachnoid hemorrhage. We aimed to evaluate the simplified acute physiology score 3 (SAPS-3) and the sequential organ failure assessment (SOFA) scores for the prediction of in-hospital mortality in a large multicenter cohort of SAH patients.

METHODS

This was a retrospective analysis of prospectively collected data from 45 ICUs in Brazil, during 2014 and 2015. Patients admitted with non-traumatic subarachnoid hemorrhage (SAH) were included. Clinical and outcome data were retrieved from an electronic ICU quality registry. SAPS-3 and SOFA scores, without the neurological components (i.e., nSAPS-3 and nSOFA, respectively) were recorded, as well as the World Federation of Neurological Surgeons (WFNS) scale. We used multilevel logistic regression analysis to identify factors associated with in-hospital mortality. We evaluated performance using the area under the receiver operating characteristic curve (AUROC), as well as calibration belts and precision-recall plots.

RESULTS

The study included 997 patients, from which 426 (43%) had poor clinical grade (WFNS 4 or 5) and in-hospital mortality was 34%. Median nSAPS-3 and nSOFA score at admission were 46 (IQR: 38-55) and 2 (0-5), respectively. Non-survivors were older, had higher nSAPS-3 and nSOFA, and more often poor grade. After adjustment for age, poor grade and withdrawal of life sustaining therapies, multivariable analysis identified nSAPS-3 and nSOFA score as independent clinical predictors of in-hospital mortality. The AUROC curve that included nSAPS-3 and nSOFA scores significantly improved the already good discrimination and calibration of age and WFNS to predict in-hospital mortality (AUROC: 0.89 for the full final model vs. 0.85 for age and WFNS; P < 0.0001).

CONCLUSIONS

nSAPS-3 and nSOFA scores were independently associated with in-hospital mortality after SAH. The addition of these scores improved early prediction of hospital mortality in our cohort and should be integrated to other specific prognostic indices in the early assessment of SAH.

Impact of early ICU admission for critically ill cancer patients: Post-hoc analysis of a prospective multicenter multinational dataset

OBJECTIVES

Early intensive care unit (ICU) admission, in Critically Ill Cancer Patients (CICP), is believed to have contributed to the prognostic improvement of critically ill cancer patients. The primary objective of this study was to assess the association between early ICU admission and hospital mortality in CICP.

DESIGN

Retrospective analysis of a prospective multicenter dataset. Early admission was defined as admission in the ICU < 24 h of hospital admission. We assessed the association between early ICU admission and hospital mortality in CICP via survival analysis and propensity score matching.

RESULTS

Of the 1011patients in our cohort, 1005 had data available regarding ICU admission timing and were included. Overall, early ICU admission occurred in 455 patients (45.3%). Crude hospital mortality in patients with early and delayed ICU admission was 33.6% (n = 153) vs. 43.1% (n = 237), respectively (P = 0.02). After adjustment for confounders, early compared to late ICU admission was not associated with hospital mortality (HR 0.92; 95%CI 0.76-1.11). After propensity score matching, hospital mortality did not differ between patients with early (35.2%) and late (40.6%) ICU admission (P = 0.13). In the matched cohort, early ICU admission was not associated with mortality after adjustment on SOFA score (HR 0.89; 95%CI 0.71-1.12). Similar results were obtained after adjustment for center effect.

CONCLUSION

In this cohort, early ICU admission was not associated with a better outcome after adjustment for confounder and center effect. The uncertainty with regard to the beneficial effect of early ICU on hospital mortality suggests the need for an interventional study.

Linking of global intensive care (LOGIC): An international benchmarking in critical care initiative

Benchmarking is a common and effective method for measuring and analyzing ICU performance. With the existence of national registries, objective information can now be obtained to allow benchmarking of ICU care within and between countries. The present manuscript briefly describes the current status of benchmarking in healthcare and critical care and presents the LOGIC project, an initiative to promote international benchmarking for intensive care units. Currently 13 registries have joined LOGIC. We showed large differences in the utilization of ICU as well as resources and in outcomes. Despite the need for careful interpretation of differences due to variation in definitions and limited risk adjustment, LOGIC is a growing worldwide initiative that allows access to insightful epidemiologic data from ICUs in multiple databases and registries.