Mobile Critical Care in Resource-Limited Settings: An Unmet Need.

Care of the critically ill in resource-limited areas, inside or outside the intensive care unit (ICU), is indispensable. Murthy and Adhikari noted that about 70% of patients in low-middle income (LMIC) areas could benefit from good critical care. Many patients in resource-limited settings still die before getting to the hospital. Investing in capacity building by strengthening and expanding ICU capability and training intensivists, critical care nurses, respiratory therapists, and other ICU staff is essential, but this process will take years. Also, having advanced healthcare facilities that are still far from remote areas will not do much to alleviate distance and mode of transportation as barriers to achieving good critical care. This paper discusses the importance of mobile critical care units (MCCUs) in supporting and enhancing existing emergency medical systems. MCCUs will be crucial in addressing critical delays in transportation and time to receive appropriate lifesaving critical care in remote areas. They are incredibly versatile and could be used to transfer severely ill patients to a higher level of care from the field, safely transfer critically ill patients between hospitals, and, sometimes, almost more importantly, provide standalone short-term critical care in regions where ICUs might be absent or immediately inaccessible. MCCUs should not be used as a substitute for primary care or to bypass readily available services at local healthcare centers. It is essential to rethink the traditional paradigm of 'prehospital care' and 'hospital care' and focus on improving the care of critically ill patients from the field to the hospital.

Novel cortisol trajectory sub-phenotypes in sepsis.

BACKGROUND: Sepsis is a heterogeneous syndrome. This study aimed to identify new sepsis sub-phenotypes using plasma cortisol trajectory. METHODS: This retrospective study included patients with sepsis admitted to the intensive care unit of Zhongshan Hospital Fudan University between March 2020 and July 2022. A group-based cortisol trajectory model was used to classify septic patients into different sub-phenotypes. The clinical characteristics, biomarkers, and outcomes were compared between sub-phenotypes. RESULTS: A total of 258 patients with sepsis were included, of whom 186 were male. Patients were divided into two trajectory groups: the lower-cortisol group (n = 217) exhibited consistently low and slowly declining cortisol levels, while the higher-cortisol group (n = 41) showed relatively higher levels in comparison. The 28-day mortality (65.9% vs.16.1%, P < 0.001) and 90-day mortality (65.9% vs. 19.8%, P < 0.001) of the higher-cortisol group were significantly higher than the lower-cortisol group. Multivariable Cox regression analysis showed that the trajectory sub-phenotype (HR = 5.292; 95% CI 2.218-12.626; P < 0.001), APACHE II (HR = 1.109; 95% CI 1.030-1.193; P = 0.006), SOFA (HR = 1.161; 95% CI 1.045-1.291; P = 0.006), and IL-1ß (HR = 1.001; 95% CI 1.000-1.002; P = 0.007) were independent risk factors for 28-day mortality. Besides, the trajectory sub-phenotype (HR = 4.571; 95% CI 1.980-10.551; P < 0.001), APACHE II (HR = 1.108; 95% CI 1.043-1.177; P = 0.001), SOFA (HR = 1.270; 95% CI 1.130-1.428; P < 0.001), and IL-1ß (HR = 1.001; 95% CI 1.000-1.001; P = 0.015) were also independent risk factors for 90-day mortality. CONCLUSION: This study identified two novel cortisol trajectory sub-phenotypes in patients with sepsis. The trajectories were associated with mortality, providing new insights into sepsis classification.

[Feasibility and safety study of building a friendly management model for elderly critically ill patients based on geriatric intensive care unit: a prospective controlled study].

OBJECTIVE: To explore the feasibility and safety of integrating the geriatric intensive care unit (GICU) into the friendly management model of the elderly critically ill patients. METHODS: A prospective controlled study was conducted. Patients with elderly critically ill admitted to the GICU and the general intensive care unit (ICU) of Jintan First People's Hospital of Changzhou from December 2021 to May 2023 were enrolled. Patients in the ICU group received the traditional intensive care and nursing mode. In addition to the ICU group basic medical care measures, the patients in the GICU group were treated with friendly management models such as flexible visitation, diagnosis and treatment environment optimization, caring diagnosis and treatment, and family participation in hospice care according to their condition assessment. The gender, age, main diagnosis, and acute physiology and chronic health evaluation II (APACHE II) at admission were recorded and compared between the two groups. During the treatment period, the incidence of nosocomial infection, unplanned extubation, falling out of bed/fall, unexpected readmission to ICU/GICU, and ICU/GICU mortality, the incidence of post-intensive care syndrome (PICS), the satisfaction rate of patients/families with medical care, and the satisfaction rate of patients/families with diagnosis and treatment environment were recorded and compared between the two groups. RESULTS: According to the admission criteria for ICU and GICU, as well as the willingness of the patients and/or their families, a total of 59 patients were finally included in the ICU group, and 48 patients were enrolled in the GICU group. There were no significantly differences in gender, age, main diagnosis and APACHE II score between the two groups, and there were comparability. There were no significantly differences in the incidence of adverse events such as nosocomial infection [13.6% (8/59) vs. 12.5% (6/48)], unplanned extubation [5.1% (3/59) vs. 6.2% (3/48)], falling out of bed/fall [3.4% (2/59) vs. 0% (0/48)], unexpected readmission to ICU/GICU [8.5% (5/59) vs. 10.4% (5/48)], and ICU/GICU mortality [6.8% (4/59) vs. 6.2 (3/48)] between the ICU group and GICU group (all P > 0.05). Compared with the ICU group, the incidence of PICS in GICU group was significantly lower [8.3% (4/48) vs. 25.4% (15/59), P < 0.05], the satisfaction rate of patients/families with medical care [89.6% (43/48) vs. 74.6% (44/59)] and satisfaction rate of patients/families with diagnosis and treatment environment [87.5% (42/48) vs. 67.8% (40/59)] were significantly increased (both P < 0.05). CONCLUSIONS: The use GICU as a friendly management model for elderly critically ill patients is feasible and safe, and it is worthy of further exploration and research.

The pleural gradient does not reflect the superimposed pressure in patients with class III obesity.

BACKGROUND: The superimposed pressure is the primary determinant of the pleural pressure gradient. Obesity is associated with elevated end-expiratory esophageal pressure, regardless of lung disease severity, and the superimposed pressure might not be the only determinant of the pleural pressure gradient. The study aims to measure partitioned respiratory mechanics and superimposed pressure in a cohort of patients admitted to the ICU with and without class III obesity (BMI ≥ 40 kg/m2), and to quantify the amount of thoracic adipose tissue and muscle through advanced imaging techniques. METHODS: This is a single-center observational study including ICU-admitted patients with acute respiratory failure who underwent a chest computed tomography scan within three days before/after esophageal manometry. The superimposed pressure was calculated from lung density and height of the largest axial lung slice. Automated deep-learning pipelines segmented lung parenchyma and quantified thoracic adipose tissue and skeletal muscle. RESULTS: N = 18 participants (50% female, age 60 [30-66] years), with 9 having BMI < 30 and 9  ≥ 40 kg/m2. Groups showed no significant differences in age, sex, clinical severity scores, or mortality. Patients with BMI ≥ 40 exhibited higher esophageal pressure (15.8 ± 2.6 vs. 8.3 ± 4.9 cmH2O, p = 0.001), higher pleural pressure gradient (11.1 ± 4.5 vs. 6.3 ± 4.9 cmH2O, p = 0.04), while superimposed pressure did not differ (6.8 ± 1.1 vs. 6.5 ± 1.5 cmH2O, p = 0.59). Subcutaneous and intrathoracic adipose tissue were significantly higher in subjects with BMI ≥ 40 and correlated positively with esophageal pressure and pleural pressure gradient (p < 0.05). Muscle areas did not differ between groups. CONCLUSIONS: In patients with class III obesity, the superimposed pressure does not approximate the pleural pressure gradient, which is higher than in patients with lower BMI. The quantity and distribution of subcutaneous and intrathoracic adiposity also contribute to increased pleural pressure gradients in individuals with BMI ≥ 40. This study introduces a novel physiological concept that provides a solid rationale for tailoring mechanical ventilation in patients with high BMI, where specific guidelines recommendations are lacking.

Intensive care unit caseload and workload and their association with outcomes in critically unwell patients: a large registry-based cohort analysis.

BACKGROUND: Too high or too low patient volumes and work amounts may overwhelm health care professionals and obstruct processes or lead to inadequate personnel routine and process flow. We sought to evaluate, whether an association between current caseload, current workload, and outcomes exists in intensive care units (ICU). METHODS: Retrospective cohort analysis of data from an Austrian ICU registry. Data on patients aged ≥ 18 years admitted to 144 Austrian ICUs between 2013 and 2022 were included. A Cox proportional hazards model with ICU mortality as the outcome of interest adjusted with patients' respective SAPS 3, current ICU caseload (measured by ICU occupancy rates), and current ICU workload (measured by median TISS-28 per ICU) as time-dependent covariables was constructed. Subgroup analyses were performed for types of ICUs, hospital care level, and pre-COVID or intra-COVID period. RESULTS: 415 584 patient admissions to 144 ICUs were analysed. Compared to ICU caseloads of 76 to 100%, there was no significant relationship between overuse of ICU capacity and risk of death [HR (95% CI) 1.06 (0.99-1.15), p = 0.110 for > 100%], but for lower utilisation [1.09 (1.02-1.16), p = 0.008 for ≤ 50% and 1.10 (1.05-1.15), p < 0.0001 for 51-75%]. Exceptions were significant associations for caseloads > 100% between 2020 and 2022 [1.18 (1.06-1.30), p = 0.001], i.e., the intra-COVID period. Compared to the reference category of median TISS-28 21-30, lower [0.88 (0.78-0.99), p = 0.049 for ≤ 20], but not higher workloads were significantly associated with risk of death. High workload may be associated with higher mortality in local hospitals [1.09 (1.01-1.19), p = 0.035 for 31-40, 1.28 (1.02-1.60), p = 0.033 for > 40]. CONCLUSIONS: In a system with comparably high intensive care resources and mandatory staffing levels, patients' survival chances are generally not affected by high intensive care unit caseload and workload. However, extraordinary circumstances, such as the COVID-19 pandemic, may lead to higher risk of death, if planned capacities are exceeded. High workload in ICUs in smaller hospitals with lower staffing levels may be associated with increased risk of death.

Exploring Clinical Practices of Critical Alarm Settings in Intensive Care Units: A Retrospective Study of 60,000 Patient Stays from the MIMIC-IV Database.

In Intensive Care Unit (ICU), the settings of the critical alarms should be sensitive and patient-specific to detect signs of deteriorating health without ringing continuously, but alarm thresholds are not always calibrated to operate this way. An assessment of the connection between critical alarm threshold settings and the patient-specific variables in ICU would deepen our understanding of the issue. The aim of this retrospective descriptive and exploratory study was to assess this relationship using a large cohort of ICU patient stays. A retrospective study was conducted on some 70,000 ICU stays taken from the MIMIC-IV database. Critical alarm threshold values and threshold modification frequencies were examined. The link between these alarm threshold settings and 30 patient variables was then explored by computing the Shapley values of a Random Tree Forest model, fitted with patient variables and alarm settings. The study included 57,667 ICU patient stays. Alarm threshold values and alarm threshold modification frequencies exhibited the same trend: they were influenced by the vital sign monitored, but almost never by the patient's overall health status. This exploratory study also placed patients' vital signs as the most important variables, far ahead of medication. In conclusion, alarm settings were rigid and mechanical and were rarely adapted to the evolution of the patient. The management of alarms in ICU appears to be imperfect, and a different approach could result in better patient care and improved quality of life at work for staff.

Impact of the timing of invasive mechanical ventilation in patients with sepsis: a multicenter cohort study.

BACKGROUND: The potential adverse effects associated with invasive mechanical ventilation (MV) can lead to delayed decisions on starting MV. We aimed to explore the association between the timing of MV and the clinical outcomes in patients with sepsis ventilated in intensive care unit (ICU). METHODS: We analyzed data of adult patients with sepsis between September 2019 and December 2021. Data was collected through the Korean Sepsis Alliance from 20 hospitals in Korea. Patients who were admitted to ICU and received MV were included in the study. Patients were divided into 'early MV' and 'delayed MV' groups based on whether they were on MV on the first day of ICU admission or later. Propensity score matching was applied, and patients in the two groups were compared on a 1:1 ratio to overcome bias between the groups. Outcomes including ICU mortality, hospital mortality, length of hospital and ICU stay, and organ failure at ICU discharge were compared. RESULTS: Out of 2440 patients on MV during ICU stay, 2119 'early MV' and 321 'delayed MV' cases were analyzed. The propensity score matching identified 295 patients in each group with similar baseline characteristics. ICU mortality was lower in 'early MV' group than 'delayed MV' group (36.3% vs. 46.4%; odds ratio, 0.66; 95% confidence interval, 0.47-0.93; p = 0.015). 'Early MV' group had lower in-hospital mortality, shorter ICU stay, and required tracheostomy less frequently than 'delayed MV' group. Multivariable logistic regression model identified 'early MV' as associated with lower ICU mortality (odds ratio, 0.38; 95% confidence interval, 0.29-0.50; p < 0.001). CONCLUSION: In patients with sepsis ventilated in ICU, earlier start (first day of ICU admission) of MV may be associated with lower mortality.

Critical care innovations: navigating pain relief in intensive care: the role of regional anesthesia.

PURPOSE OF REVIEW: The purpose of this article is to provide an update of regional anesthesia and its applications in the critical care patient population. RECENT FINDINGS: Regional anesthesia including blocks of the abdomen and thorax, head and neck, as well as upper and lower extremities can be used to alleviate pain and assist in managing life-threatening conditions such as cerebral vasospasm and ventricular storm in the ICU population. There have been many advances in these techniques including ultrasound-guidance with innovative approaches that allow for more superficial procedures that are safer for critically ill patients. Regional anesthesia can decrease hospital length of stay (LOS), prevent ICU admission, shorten ICU LOS, and increase ventilator free days and may have mortality benefits. SUMMARY: Pain management in the ICU is an important and sometimes challenging aspect of patient care. Regional anesthetic techniques have more indications and are safe, versatile tools that should be incorporated into care of critically ill patients.

Improving patient care transitions from the intensive care unit to the ward by learning from everyday practice. A multicenter qualitative study.

OBJECTIVE: To explore and describe the everyday practices (Work-As-Done) that hinder and facilitate patient care transitions from the intensive care unit (ICU) to the ward. RESEARCH METHOD/DESIGN: Multiple qualitative case studies in the ICU and various specialized wards of three Dutch hospitals. Adult patients planned to be transferred were purposively sampled on a variety of characteristics along with their relative (if present), and the ICU and ward nurses who were involved in the transition process. Data were collected by using multiple sources (i.e., observations, semi-structured interviews and a qualitative survey) and then systematically analyzed using the thematic analysis approach until saturation was reached. FINDINGS: Twenty-six cases were studied. For each case, the actual transfer was observed. Sixteen patients, five relatives and 36 nurses were interviewed. Two patients completed the survey. Fifteen themes emerged from the data, showing that the quality of transitions is influenced by the extent to which nurses anticipate to patient-specific needs (e.g., providing timely and adequate information, orientation, mental support and aftercare) and to the needs of the counterpart to continue care (e.g., by preparing handovers) besides following standard procedures. Data also show that procedures sometimes interfere with what works best in practice (e.g., communication via a liaison service instead of direct communication between ICU and ward nurses). CONCLUSIONS: Subtle, non-technical nursing skills play an important role in comforting patients and in the coordination of care when patients are transferred from the ICU to the ward. IMPLICATIONS FOR CLINICAL PRACTICE: These Work-As-Done findings and their underlying narratives, that are often overlooked when focusing on quality improvement, can be used as material to reflect on own practice and raise awareness for its impact on patients. They may stimulate healthcare staff in crafting interventions for optimizing the transition process.

The clinical effectiveness of the corrected nose-earlobe-xiphoid distance formula in determining the internal length of a nasogastric tube in adults: A retrospective study.

INTRODUCTION: Accurate determination of the internal length of nasogastric tubes is essential for the safe and effective completion of blind insertions, a routine nursing procedure. The widely used nose-earlobe-xiphoid distance lacks evidence and effectiveness. A recent randomized controlled trial proposed an alternative, the corrected nose-earlobe-xiphoid distance formula. However, its effectiveness in real-world clinical practice has not yet been studied. OBJECTIVE: This study assessed the real-world clinical effectiveness of the corrected nose-earlobe-xiphoid distance formula for determining the internal nasogastric tube length in adult patients admitted to hospitalization or intensive care units. DESIGN: A single-center retrospective clinical effectiveness study was conducted, utilizing routinely collected observational data. SETTING AND MAIN OUTCOME MEASURES: Between October 2020 and November 2022, 358 adult patients in a general hospital requiring a nasogastric feeding tube were included. The primary outcome involved assessing nasogastric tube tip positioning (>3 cm below the lower esophageal sphincter) by an advanced practice nurse through X-ray verification. Secondary outcomes, obtained from patient records for a random subgroup of 100 participants, were reporting clarity and evaluation of the tip position by reviewing radiologists. RESULTS: Following evaluation by an advanced practice nurse, all nasogastric feeding tubes were determined to be correctly positioned. Among the subgroup of 100 tubes, X-ray protocols, as documented by the reviewing radiologists, showed varying levels of reporting clarity for the tube tip: 4.0 % lacked reporting, 33.0 % had ambiguous reporting and 63.0 % had unambiguous reporting. CONCLUSION: The corrected nose-earlobe-xiphoid distance formula demonstrates potential to emerge as a safer alternative to existing methods for determining the internal length of nasogastric tubes. IMPLICATIONS FOR CLINICAL PRACTICE: In addition to healthcare provider education and training, a checklist-based framework is recommended for radiologists to unambiguously report nasogastric tube tip positions.

Upper limb peripheral nerve injuries in patients with ARDS requiring prone positioning: A systematic review with proportion meta-analysis.

OBJECTIVE: To investigate the prevalence of upper limb peripheral nerve injuries (PNI) in adult patients admitted to the intensive care unit (ICU) with acute respiratory distress syndrome (ARDS) undergoing prone positioning. METHODS: This systematic review with meta-analysis was conducted following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) and Meta-analysis of Observational Studies in Epidemiology (MOOSE) reporting guidelines. Four electronic databases including PubMed, the Cumulative Index to Nursing and Allied Health Literature (CINAHL), The Cochrane Library, and EMBASE were searched from inception to January 2024. The quality of the included studies was evaluated according to the Joanna Briggs Institute Critical Appraisal Tools. A proportion meta-analysis was conducted to examine the combined prevalence of upper limb PNI among patients requiring prone positioning. RESULTS: A total of 8 studies (511 patients) were pooled in the quantitative analysis. All studies had a low or moderate risk of bias in methodological quality. The overall proportion of patients with upper limb PNI was 13% (95%CI: 5% to 29%), with large between-study heterogeneity (I2 = 84.6%, P<0.001). Both ulnar neuropathy and brachial plexopathy were described in 4 studies. CONCLUSION: During the COVID-19 pandemic, prone positioning has been used extensively. Different approaches among ICU teams and selective reporting by untrained staff may be a factor in interpreting the large variability between studies and the 13% proportion of patients with upper limb PNI found in the present meta-analysis. Therefore, it is paramount to stress the importance of patient assessment both after discharge from the ICU and during subsequent follow-up evaluations. IMPLICATIONS FOR CLINICAL PRACTICE: Specialized training is essential to ensure safe prone positioning, with careful consideration given to arms and head placement to mitigate potential nerve injuries. Therefore, healthcare protocols should incorporate preventive strategies, with patient assessments conducted by expert multidisciplinary teams.

Assessing palliative care practices in intensive care units and interpreting them using the lens of appropriate care concepts. An umbrella review.

PURPOSE: Intensive care units (ICUs) have significant palliative care needs but lack a reliable care framework. This umbrella review addresses them by synthesising palliative care practices provided at end-of-life to critically ill patients and their families before, during, and after ICU admission. METHODS: Seven databases were systematically searched for systematic reviews, and the umbrella review was conducted according to the guidelines laid out by the Joanna Briggs Institute (JBI). RESULTS: Out of 3122 initial records identified, 40 systematic reviews were included in the synthesis. Six key themes were generated that reflect the palliative and end-of-life care practices in the ICUs and their outcomes. Effective communication and accurate prognostications enabled families to make informed decisions, cope with uncertainty, ease distress, and shorten ICU stays. Inter-team discussions and agreement on a plan are essential before discussing care goals. Recording care preferences prevents unnecessary end-of-life treatments. Exceptional end-of-life care should include symptom management, family support, hydration and nutrition optimisation, avoidance of unhelpful treatments, and bereavement support. Evaluating end-of-life care quality is critical and can be accomplished by seeking family feedback or conducting a survey. CONCLUSION: This umbrella review encapsulates current palliative care practices in ICUs, influencing patient and family outcomes and providing insights into developing an appropriate care framework for critically ill patients needing end-of-life care and their families.

Returning to work and health status at 12 months among patients with COVID-19 cared for in intensive care-A prospective, longitudinal study.

OBJECTIVE: Intensive care unit (ICU) stay for a serious illness has a long-term impact on patients' physical and psychological well-being, affecting their ability to return to their everyday life. We aimed to investigate whether there are differences in health status between those who return to work and those who do not, and how demographic characteristics and illness severity impact patients' ability to return to work 12 months after intensive care for COVID-19. RESEARCH METHODOLOGY: This was a prospective longitudinal cohort study. The participants were patients who had been in intensive care for COVID-19 and had worked before contracting COVID-19. Data on return to previous occupational status, demographic data, comorbidities, intensive care characteristics, and health status were collected at a 12-month follow-up visit. SETTING: General ICU at the Uppsala University Hospital in Sweden. RESULTS: Seventy-three participants were included in the study. Twelve months after discharge from the ICU, 77 % (n = 56) had returned to work. The participants who were unable to return to work reported more severe health symptoms. The (odds ratio [OR] for not returning to work was high for critical illness OR, 12.05; 95 % confidence interval [CI], 2.07-70.29, p = 0.006) and length of ICU stay (OR, 1.06; 95 % CI, 1.01-1.11, p = 0.01) CONCLUSION: Two-thirds of the participants were able to return to work within 1 year after discharge from the ICU. The primary factors contributing to the failure to work were duration of the acute disease and presence of severe and persistent long-term symptoms. IMPLICATIONS FOR CLINICAL PRACTICE: Patients' health status must be comprehensively assessed and their ability to return to work should be addressed in the rehabilitation process. Therefore, any complications faced by the patients must be identified and treated early to increase the possibility of their successful return to work.

Decibel level of coughing as a predictor of extubation outcome in mechanically ventilated intensive care patients: A prospective, observational study.

AIM: This study aims to evaluate the feasibility and clinical utility of measuring cough decibel level as predictive markers for extubation outcomes in mechanically ventilated patients. DESIGN: A prospective observational study. SETTING: Three interdisciplinary medical-surgical intensive care units across China. MAIN OUTCOME MEASURES: The primary outcomes assessed were extubation results in patients. Secondary measures included the cough decibel level, semiquantitative cough intensity scores, and white card test results recorded prior to extubation. RESULTS: A total of 71 patients were included, 55 patients were in the extubation success group and 16 in the failure group. The mean age was 78(71,83) years, mainly male (73.2 %). Despite the baseline characteristics being mostly consistent across both groups, significant differences were noted in duration of mechanical ventilation, and intensive care units and hospital stay. Remarkably, the cough decibel was substantially lower in the extubation failure group compared to the other group (78.69 ± 8.23 vs 92.28 ± 7.01 dB). The Receiver Operating Characteristic curve analysis revealed that a cough decibel below 85.77 dB is the optimal threshold for predicting extubation failure, exhibiting an 80 % sensitivity and 91.67 % specificity. CONCLUSION: The study corroborates that the cough decibel level serves as a quantifiable metric in patients undergoing mechanical ventilation. It posits that the likelihood of extubation failure escalates when the cough decibel falls below 85.77 dB. IMPLICATIONS FOR CLINICAL PRACTICE: Quantification of coughing capacity in decibels may be a good predictor of extubation outcome, thus offering assistance to healthcare professionals in evaluating the readiness of patients for extubation.

Interprofessional Staffing Pattern Clusters in U.S. ICUs.

OBJECTIVES: To identify interprofessional staffing pattern clusters used in U.S. ICUs. DESIGN: Latent class analysis. SETTING AND PARTICIPANTS: Adult U.S. ICUs. PATIENTS: None. INTERVENTIONS: None. ANALYSIS: We used data from a staffing survey that queried respondents (n = 596 ICUs) on provider (intensivist and nonintensivist), nursing, respiratory therapist, and clinical pharmacist availability and roles. We used latent class analysis to identify clusters describing interprofessional staffing patterns and then compared ICU and hospital characteristics across clusters. MEASUREMENTS AND MAIN RESULTS: We identified three clusters as optimal. Most ICUs (54.2%) were in cluster 1 ("higher overall staffing") characterized by a higher likelihood of good provider coverage (both intensivist [onsite 24 hr/d] and nonintensivist [orders placed by ICU team exclusively, presence of advanced practice providers, and physicians-in-training]), nursing leadership (presence of charge nurse, nurse educators, and managers), and bedside nursing support (nurses with registered nursing degrees, fewer patients per nurse, and nursing aide availability). One-third (33.7%) were in cluster 2 ("lower intensivist coverage & nursing leadership, higher bedside nursing support") and 12.1% were in cluster 3 ("higher provider coverage & nursing leadership, lower bedside nursing support"). Clinical pharmacists were more common in cluster 1 (99.4%), but present in greater than 85% of all ICUs; respiratory therapists were nearly universal. Cluster 1 ICUs were larger (median 20 beds vs. 15 and 17 in clusters 2 and 3, respectively; p < 0.001), and in larger (> 250 beds: 80.6% vs. 66.1% and 48.5%; p < 0.001), not-for-profit (75.9% vs. 69.4% and 60.3%; p < 0.001) hospitals. Telemedicine use 24 hr/d was more common in cluster 3 units (71.8% vs. 11.7% and 14.1%; p < 0.001). CONCLUSIONS: More than half of U.S. ICUs had higher staffing overall. Others tended to have either higher provider presence and nursing leadership or higher bedside nursing support, but not both.

Variability in forgoing life-sustaining treatment practices in critically Ill patients with hospital-acquired bloodstream infections: a secondary analysis of the EUROBACT-2 international cohort.

BACKGROUND: The decision to forgo life-sustaining treatment in intensive care units (ICUs) is influenced by ethical, cultural, and medical factors. This study focuses on a population of patients with hospital-acquired bloodstream infections (HABSI) to investigate the association between patient, pathogen, center and country-level factors and these decisions. METHODS: We analyzed data from the EUROBACT-2 study (June 2019-January 2021) from 265 centers worldwide, focusing on non-COVID-19 patients who died in the hospital or within 28 days after HABSI. We assessed whether death was preceded by a decision to forgo life-sustaining treatment, examining country, center, patient, and pathogen variables. To assess the association of each potentially important variable with the decision to forgo life-sustaining treatment, univariable mixed logistic regression models with a random center effect were performed. RESULTS: Among 1589 non-COVID-19 patients, 519 (32.7%) died, with 191 (36.8%) following a decision to forgo life-sustaining treatment. Significant geographical differences were observed, with no reported decisions to forgo life-sustaining treatment in African countries and fewer in the Middle East compared to Western Europe, Australia, and Asia. Once a center effect was considered, only health expenditure (Odds ratio 1.79, 95%CI: 1.45-2.21, p < 0.01) and age (Odds ratio 1.02, 95%CI: 1.002-1.05, p = 0.03) were significantly associated with decisions to forgo life-sustaining treatment, while other patient and pathogen factors were not. CONCLUSION: Economic and regional disparities significantly impact end-of-life decision-making in ICUs. Global policies should consider these disparities to ensure equitable end-of-life care practices.

Comparing causal random forest and linear regression to estimate the independent association of organisational factors with ICU efficiency.

PURPOSE: Parametric regression models have been the main statistical method for identifying average treatment effects. Causal machine learning models showed promising results in estimating heterogeneous treatment effects in causal inference. Here we aimed to compare the application of causal random forest (CRF) and linear regression modelling (LRM) to estimate the effects of organisational factors on ICU efficiency. METHODS: A retrospective analysis of 277,459 patients admitted to 128 Brazilian and Uruguayan ICUs over three years. ICU efficiency was assessed using the average standardised efficiency ratio (ASER), measured as the average of the standardised mortality ratio (SMR) and the standardised resource use (SRU) according to the SAPS-3 score. Using a causal inference framework, we estimated and compared the conditional average treatment effect (CATE) of seven common structural and organisational factors on ICU efficiency using LRM with interaction terms and CRF. RESULTS: The hospital mortality was 14 %; median ICU and hospital lengths of stay were 2 and 7 days, respectively. Overall median SMR was 0.97 [IQR: 0.76,1.21], median SRU was 1.06 [IQR: 0.79,1.30] and median ASER was 0.99 [IQR: 0.82,1.21]. Both CRF and LRM showed that the average number of nurses per ten beds was independently associated with ICU efficiency (CATE [95 %CI]: -0.13 [-0.24, -0.01] and -0.09 [-0.17,-0.01], respectively). Finally, CRF identified some specific ICUs with a significant CATE in exposures that did not present a significant average effect. CONCLUSION: In general, both methods were comparable to identify organisational factors significantly associated with CATE on ICU efficiency. CRF however identified specific ICUs with significant effects, even when the average effect was nonsignificant. This can assist healthcare managers in further in-dept evaluation of process interventions to improve ICU efficiency.