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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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Background: Guillain-Barre Syndrome (GBS) is the most prevalent acute peripheral polyneuropathy disorder. The disparities between populations and variations in the major risk factors highlight the importance of country-specific studies. This study aimed to report clinical characteristics and outcomes of ICU-admitted patients with GBS in an academic medical center in Iran. Methods: The data were collected retrospectively from all patients with GBS admitted to Namazi Hospital, affiliated with Shiraz University of Medical Sciences, (Shiraz, Iran), between March 2016 to March 2021. Specialized neurological information and the Acute Physiology and Chronic Health Evaluation (APACHE II) score were recorded. The SPSS software was used to analyze the data. The analyzed data were reported as numbers and percentages, or mean±SD, or median(Interquartile). Results: The study included 132 GBS patients, with an average age of 47.87±15.4 years and a male-to-female ratio of 1.69:1. More than half of the patients (58.5%) were classified as having an axonal disease. In patients with axonal illness, 51.4% of patients had lower limb powers<3, while only 36% of those had the demyelinating disease. This group also required mechanical ventilation more frequently (54% vs. 46%) and for a longer duration (26 [9-37] vs. 10 [1-61]) days. Pneumonia and sepsis were each observed in 16% of patients, and 12% developed a urinary tract infection. The most common type of GBS was acute inflammatory demyelinating polyneuropathy (AIDP). Only 6 (3.8%) patients died. Conclusion: The axonal type of GBS was more frequent, and these patients required mechanical ventilation more frequently and for a longer duration than those in other electrophysiological categories. A preprint version of the manuscript is available at DOI: https://doi.org/10.21203/rs.3.rs-2181605/v1.

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BACKGROUND: Physical inactivity and subsequent muscle atrophy are highly prevalent in neurocritical care and are recognized as key mechanisms underlying intensive care unit acquired weakness (ICUAW). The lack of quantifiable biomarkers for inactivity complicates the assessment of its relative importance compared to other conditions under the syndromic diagnosis of ICUAW. We hypothesize that active movement, as opposed to passive movement without active patient participation, can serve as a valid proxy for activity and may help predict muscle atrophy. To test this hypothesis, we utilized non-invasive, body-fixed accelerometers to compute measures of active movement and subsequently developed a machine learning model to predict muscle atrophy. METHODS: This study was conducted as a single-center, prospective, observational cohort study as part of the MINCE registry (metabolism and nutrition in neurointensive care, DRKS-ID: DRKS00031472). Atrophy of rectus femoris muscle (RFM) relative to baseline (day 0) was evaluated at days 3, 7 and 10 after intensive care unit (ICU) admission and served as the dependent variable in a generalized linear mixed model with Least Absolute Shrinkage and Selection Operator regularization and nested-cross validation. RESULTS: Out of 407 patients screened, 53 patients (age: 59.2 years (SD 15.9), 31 (58.5%) male) with a total of 91 available accelerometer datasets were enrolled. RFM thickness changed - 19.5% (SD 12.0) by day 10. Out of 12 demographic, clinical, nutritional and accelerometer-derived variables, baseline RFM muscle mass (beta - 5.1, 95% CI - 7.9 to - 3.8) and proportion of active movement (% activity) (beta 1.6, 95% CI 0.1 to 4.9) were selected as significant predictors of muscle atrophy. Including movement features into the prediction model substantially improved performance on an unseen test data set (including movement features: R2 = 79%; excluding movement features: R2 = 55%). CONCLUSION: Active movement, as measured with thigh-fixed accelerometers, is a key risk factor for muscle atrophy in neurocritical care patients. Quantifiable biomarkers reflecting the level of activity can support more precise phenotyping of ICUAW and may direct tailored interventions to support activity in the ICU. Studies addressing the external validity of these findings beyond the neurointensive care unit are warranted. TRIAL REGISTRATION: DRKS00031472, retrospectively registered on 13.03.2023.

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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.

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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.

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OBJECTIVES: to evaluate the factors associated with COVID-19 death in pregnant women hospitalized in Intensive Care Units in Brazil. METHODS: this ecological study was conducted using secondary data from Brazilian pregnant women with COVID-19 hospitalized in Intensive Care Units between March 2020 and March 2022. Univariate analysis and logistic regression were employed. RESULTS: out of 3,547 pregnant women with COVID-19 hospitalized in Intensive Care Units, 811 died (22.8%). It was found that lack of COVID-19 vaccination (OR: 2.73; 95% CI: 1.83; 4.04), dyspnea (OR: 1.73; 95% CI: 1.17; 2.56), obesity (OR: 1.51; 95% CI: 1.05; 2.17), chronic cardiovascular disease (OR: 1.65; 95% CI: 1.14; 2.38), and non-white race/color (OR: 1.29; 95% CI: 1.00; 1.66) were independently and significantly associated with death. CONCLUSIONS: it is concluded that vaccination status, presence of comorbidities, and clinical and ethnic-racial characteristics are associated with COVID-19 death in pregnant women hospitalized in Intensive Care Units in Brazil.

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