Intensive Care Unit Outcomes Research Articles

Estimation of the causal effect of sex on neonatal intensive care unit outcomes among very low birth weight infants.

Estimate the causal effect of sex on outcomes in the neonatal intensive care unit (NICU) among very low birth weight (VLBW) infants. Retrospective cohort study using Vermont Oxford Network data to compare NICU outcomes for VLBW males versus females. Odds ratios (OR) for outcomes that differed significantly by sex were computed using standard unweighted analysis and inverse probability weighted (IPW) analysis to correct for selection bias. Using standard analysis, males were significantly more likely to die before discharge and experience six other adverse outcomes. From IPW analysis, male sex caused a 56% increase in the odds of death before discharge (OR = 1.56, 95% confidence interval: 1.18-1.94). Standard unweighted results were significantly biased towards increased risk of adverse outcomes for males (p = 0.005) compared to IPW results for which three outcomes were no longer significantly associated with male sex. Standard statistical methods generally overestimate the casual effect of sex among VLBW infants.

Association between timing of medical intensive care unit admission and outcome of emergency department patients: a retrospective cohort study

Association between timing of medical intensive care unit admission and outcome of emergency department patients: a retrospective cohort study

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.

Characteristics and outcomes of cancer patients admitted to intensive care units in cancer specialized hospitals in China

PurposeStandard intensive care unit (ICU) admission policies and treatment strategies for patients with cancer are still lacking. To depict the current status of admission, characteristics, and outcomes of patients with cancer in the ICU.MethodsA multicenter cross-sectional study was performed from May 10, 2021 to July 10, 2021, in the ICU departments of 37 cancer-specialized hospitals in China. Clinical records of all admitted patients aged ≥ 14 years and ICU duration > 24 h with complete data were included. Demographic information, clinical history, severity score at admission, ICU critical condition diagnosis and treatment, ICU and in-hospital outcomes and 90 days survival were also collected. A total of 1455 patients were admitted and stayed for longer than 24 h. The most common primary cancer diagnoses included lung, colorectal, esophageal, and gastric cancer.ResultsPatients with lung cancer were admitted more often because of worsening complications that occurred in the clinical ward. However, other cancer patients may be more likely to be admitted to the ICU because of postoperative care. ICU-admitted patients with lung or esophageal cancer tended to have more ICU complications. Patients with lung cancer had a poor overall survival prognosis, whereas patients with colorectal cancer appeared to benefit the most according to 90 days mortality rates.ConclusionPatients with lung cancer require more ICU care due to critical complications and the overall survival prognosis is poor. Colorectal cancer may benefit more from ICU management. This information may be considered in ICU admission and treatment strategies.

Risk factors predicting need for the pediatric intensive care unit (PICU) post-hematopoietic cell transplant, PICU utilization, and outcomes following HCT: a single center retrospective analysis.

Hematopoietic cell transplant (HCT) is a curative treatment for multiple malignant and non-malignant disorders. While morbidity and mortality have decreased significantly over the years, some patients still require management in the pediatric intensive care unit (PICU) during their HCT course for additional respiratory, cardiovascular, and/or renal support. We retrospectively reviewed pediatric patients (0-18 years) who underwent HCT from January 2015-December 2020 at our institution to determine risk factors for PICU care and evaluate PICU utilization and outcomes. We also assessed pulmonary function testing (PFT) data to determine if differences were noted between PICU and non-PICU patients as well as potential evolution of pulmonary dysfunction over time. Risk factors of needing PICU care were lower age, lower weight, having an underlying inborn error of metabolism, and receiving busulfan-based conditioning. Nearly half of PICU encounters involved use of each of respiratory support types including high-flow nasal cannula, non-invasive positive pressure ventilation, and mechanical ventilation. Approximately one-fifth of PICU encounters involved renal replacement therapy. Pulmonary function test results largely did not differ between PICU and non-PICU patients at any timepoint aside from individuals who required PICU care having lower DLCO scores at one-year post-HCT. Future directions include consideration of combining our data with other centers for a multi-center retrospective analysis with the goal of gathering and reporting additional multi-center data to work toward continuing to decrease morbidity and mortality for patients undergoing HCT.

869 Early Signs of Elevated Intracranial Pressure (ICP) on Computed Tomography Correlate With Measured ICP in the Intensive Care Unit and Six-month Outcome Following Moderate to Severe TBI

INTRODUCTION: Identifying patients at risk for increased intracranial pressure (ICP) followingTBI via baseline computed tomography (CT) has not previously been validated in a prospective dataset. METHODS: Data were obtained from the Progesterone for Traumatic Brain Injury, Experimental Clinical Treatment (ProTECTIII) multicenter clinical trial. Baseline CT scans for 881 participants were individually reviewed by a blinded central neuroradiologist. Five signs of elevated ICP were measured (sulcal obliteration, lateral ventricle compression, 3rd ventricle compression, midline shift, and herniation). Associations between signs of increased ICP and outcomes (6-month functional outcome and mortality) were assessed. RESULTS: Sulcal obliteration (p = 0.029) and third ventricular compression (p = 0.039) were associated with elevated ICP. Univariate regression analyses indicated that increasing combinations of the five defined signs of elevated ICP were associated with mortality, poor functional outcome, and time to death. There was also an increased likelihood of mortality if patients required craniotomy (OR = 4.318, 95% Confidence Interval [1.330-16.030]) or hemicraniectomy (OR = 2.993 [1.109-8.482]). On multivariate regression analyses, hemorrhage location was associated with mortality (posterior fossa, OR = 3.208 [1.120-9.188] and basal ganglia, OR = 3.079 [1.178-8.077]). Volume of hemorrhage &gt;30cc was also associated with increased mortality, OR = 3.702 [1.575-8.956]). The proportion of patient hours with sustained ICP = 20 mmHg, and maximum ICP = 20 mmHg, were also directly correlated with increased mortality (OR = 64.99 [7.731-635.51]; and OR = 1.025 [1.004-1.047]). Poor functional outcome was predicted by concurrent presence of all five radiographic signs of elevated ICP (OR = 4.44 [1.514-14.183]) and presence of frontal lobe (OR = 2.951 [1.265-7.067]), subarachnoid (OR = 2.231 [1.067-4.717]), or intraventricular (OR = 2.249 [1.159-4.508]) hemorrhage. Time to death was modulated by total patient days of elevated ICP = 20 mmHg (Effect Size = 3.424 [1.500, 5.439]) in the first two weeks of hospitalization. CONCLUSIONS: ICP-related imaging variables can be prognosticate for moderate-severe TBI.

Two months outcomes following delirium in the pediatric intensive care unit.

The lasting consequences of delirium in children are not well characterized. This study aimed to compare the two-month outcomes in pediatric intensive care unit (PICU) survivors according to the presence of delirium. Post-hoc analysis of a single-center prospective study of mechanically ventilated (invasive ventilation or non-invasive ventilation) children followed at the CHU Sainte-Justine PICU follow-up clinic two months after PICU discharge, between October 2018 and August 2022. Delirium was defined as one or more Cornell Assessment of Pediatric Delirium (CAPD) scores ≥ 9. Primary outcome was survivors' quality of life and secondary outcomes were sleep and posttraumatic stress and anxiety and depression in parents. Multivariable linear and logistic regression models assessed the independent associations between delirium and outcomes while adjusting for age, sex, comorbidity, diagnosis, severity of illness, PICU length of stay, and invasive mechanical ventilation. Of the 179 children included over a 47 month-period, 117 (65.4%) had delirium. Children with delirium were more commonly intubated (91.5% vs. 30.7%, p < 0.001) and had higher PELOD-2 scores (10 vs. 4, p < 0.001). On multivariable analysis, delirium was associated with a decreased quality of life at 2.3 months post discharge (p = 0.03). The severity of the delirium episode (higher scores of CAPD) was associated with a higher likelihood of sleep disturbances (OR 1.13, p = 0.01) and parental anxiety (OR 1.16, p = 0.01), in addition to lower quality of life (p = 0.03).Conclusions: Two months following their PICU stay, children with delirium had a lower quality of life, suggesting a lasting effect of delirium on children and their families.

Knowing your team in the intensive care unit: an ethnographic study on familiarity

ABSTRACT Effective interprofessional team function is integral to high-quality care in the intensive care unit (ICU). However, little is known about how familiarity develops among teams, which may be an important antecedent to effective team function and quality care. To examine team familiarity and how it impacts ICU team function and care, we conducted an ethnographic study in four ICUs (two medical ICUs, one mixed medical-surgical ICU, and one surgical ICU) in two community hospitals and one academic medical center. We conducted 57.5 h of observation, 26 shadowing experiences, and 26 interviews across the four ICUs sequentially. We used thematic analysis to examine familiarity among the team. We found that ICU team members become familiar with their team through interpersonal, relational interactions, which involved communication, time working together, social interactions, trust, and respect. Our findings underscore the relational aspect of effective teams and demonstrate that time working together, social interactions, communication, developing trust, and respect are pathways to familiarity and optimal team function. Leveraging unique and creative ways to enhance the relational aspects of ICU teams could be an area for future research and lead to improved ICU outcomes.

21st century critical care medicine: An overview.

Critical care medicine in the 21st century has witnessed remarkable advancements that have significantly improved patient outcomes in intensive care units (ICUs). This abstract provides a concise summary of the latest developments in critical care, highlighting key areas of innovation. Recent advancements in critical care include Precision Medicine: Tailoring treatments based on individual patient characteristics, genomics, and biomarkers to enhance the effectiveness of therapies. The objective is to describe the recent advancements in Critical Care Medicine. Telemedicine: The integration of telehealth technologies for remote patient monitoring and consultation, facilitating timely interventions. Artificial intelligence (AI): AI-driven tools for early disease detection, predictive analytics, and treatment optimization, enhancing clinical decision-making. Organ Support: Advanced life support systems, such as Extracorporeal Membrane Oxygenation and Continuous Renal Replacement Therapy provide better organ support. Infection Control: Innovative infection control measures to combat emerging pathogens and reduce healthcare-associated infections. Ventilation Strategies: Precision ventilation modes and lung-protective strategies to minimize ventilator-induced lung injury. Sepsis Management: Early recognition and aggressive management of sepsis with tailored interventions. Patient-Centered Care: A shift towards patient-centered care focusing on psychological and emotional well-being in addition to medical needs. We conducted a thorough literature search on PubMed, EMBASE, and Scopus using our tailored strategy, incorporating keywords such as critical care, telemedicine, and sepsis management. A total of 125 articles meeting our criteria were included for qualitative synthesis. To ensure reliability, we focused only on articles published in the English language within the last two decades, excluding animal studies, in vitro/molecular studies, and non-original data like editorials, letters, protocols, and conference abstracts. These advancements reflect a dynamic landscape in critical care medicine, where technology, research, and patient-centered approaches converge to improve the quality of care and save lives in ICUs. The future of critical care promises even more innovative solutions to meet the evolving challenges of modern medicine.

Association between red cell distribution width-to-albumin ratio and prognostic outcomes in pediatric intensive care unit patients: a retrospective cohort study.

This study aimed to assess the association between Red Cell Distribution Width-to-Albumin Ratio (RAR) and the clinical outcomes in Pediatric Intensive Care Unit (PICU) patients. This is a retrospective cohort study. We conducted a retrospective cohort study based on the Pediatric Intensive Care database. The primary outcome was the 28-day mortality rate. Secondary outcomes included the 90-day mortality rate, in-hospital mortality rate, and length of hospital stay. We explored the relationship between RAR and the prognosis of patients in the PICU using multivariate regression and subgroup analysis. A total of 7,075 participants were included in this study. The mean age of the participants was 3.4 ± 3.8 years. Kaplan-Meier survival curves demonstrated that patients with a higher RAR had a higher mortality rate. After adjusting for potential confounding factors, we found that for each unit increase in RAR, the 28-day mortality rate increased by 6% (HR = 1.06, 95% CI: 1.01-1.11, P = 0.015). The high-RAR group (RAR ≥ 4.0) had a significantly increased 28-day mortality rate compared to the low-RAR group (RAR ≤ 3.36) (HR = 1.7, 95% CI: 1.23-2.37, P < 0.001). Similar results were observed for the 90-day and in-hospital mortality rate. No significant interactions were observed in the subgroup analysis. Our study suggests a significant association between RAR and adverse outcomes in PICU patients. A higher RAR is associated with higher 28-day, 90-day, and in-hospital mortality rates.

Epidemiology and Outcomes of Critical Illness and Novel Predictors of Mortality in an Ethiopian Medical Intensive Care Unit.

Low- and middle-income countries (LMICs) bear most of the global burden of critical illness. Managing this burden requires improved understanding of epidemiology and outcomes in LMIC intensive care units (ICUs), including LMIC-specific mortality prediction scores. This study was a retrospective observational study at Tikur Anbessa Specialized Hospital in Addis Ababa, Ethiopia, examining all consecutive medical ICU admissions from June 2014 to April 2015. The primary outcome was ICU mortality; secondary outcomes were prolonged ICU stay and prolonged mechanical ventilation. ICU mortality prediction models were created using multivariable logistic regression and compared with the Mortality Probability Model-II (MPM-II). Associations with secondary outcomes were examined with multivariable logistic regression. There were 198 admissions during the study period; mortality was 35%. Age, shock on admission, mechanical ventilation, human immunodeficiency virus, and Glasgow Coma Scale ≤8 were associated with ICU mortality. The receiver operating characteristic curve for this 5-factor model had an AUC of 0.8205 versus 0.7468 for MPM-II, favoring the simplified new model. Mechanical ventilation and lack of shock were associated with prolonged ICU stays. Mortality in an LMIC medical ICU was high. This study examines an LMIC medical ICU population, showing a simplified prediction model may predict mortality as well as complex models.

Comparison of Clinical Characteristics and Outcomes in Intensive Care Units Between Patients with Coronavirus Disease 2019 (COVID-19) and Patients with Influenza: A Systematic Review and Meta-Analysis.

Severe infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) or influenza virus can cause patients to be admitted to intensive care units (ICUs). It is necessary to understand the differences in clinical characteristics and outcomes between these two types of critically ill patients. We searched Embase, PubMed, and Web of Science for articles and performed a meta-analysis using Stata 14.0 with a random-effects model. This paper was written in strict accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Thirty-five articles involving 131,692 ICU patients with coronavirus disease 2019 (COVID-19) and 30,286 ICU patients with influenza were included in our meta-analysis. Compared with influenza patients, COVID-19 patients were more likely to be male (odds ratio (OR) = 1.75, 95% CI: 1.54-1.99) and older (standardized mean difference (SMD) = 0.16, 95% CI: 0.03-0.29). In terms of laboratory test results, COVID-19 patients had higher lymphocyte (SMD = 0.38, 95% CI: 0.17-0.59) and platelet counts (SMD = 0.52, 95% CI: 0.29-0.75) but lower creatinine (SMD = -0.29, 95% CI: -0.55-0.03) and procalcitonin levels (SMD = -0.78, 95% CI: -1.11-0.46). Diabetes (SMD = 1.27, 95% CI: 1.08-1.48) and hypertension (SMD = 1.30, 95% CI: 1.05-1.60) were more prevalent in COVID-19 patients, while influenza patients were more likely to have cancer (OR = 0.52, 95% CI: 0.44-0.62), cirrhosis (OR = 0.52, 95% CI: 0.44-0.62), immunodepression (OR = 0.38, 95% CI: 0.25-0.58), and chronic pulmonary diseases (OR = 0.35, 95% CI: 0.24-0.52). We also found that patients with COVID-19 had longer ICU stays (SMD = 0.20, 95% CI: 0.05-0.34), were more likely to develop acute respiratory distress syndrome (OR = 4.90, 95% CI: 2.77-8.64), and had higher mortality (OR = 1.35, 95% CI: 1.17-1.55). There are some differences in the basic characteristics, comorbidities, laboratory test results and complications between ICU patients with COVID-19 and ICU patients with influenza. Critically ill patients with COVID-19 often require more medical resources and have worse clinical outcomes. PROSPERO Registration Number: CRD42023452238.

Study of Empiric Antibiotic Prescription Patterns and Microbiological Isolates in Hemodynamically Stable and Unstable ICU Patients With Community-Acquired Sepsis.

Background: The efficacy of combination empiric antibiotic therapy for all intensive care unit (ICU) patients with community-acquired sepsis is a subject of ongoing debate in the era of increasing antibiotic resistance. This study was conducted to evaluate the patterns of antibiotic usage and microbial resistance in sepsis patients admitted to the ICU with both hemodynamically stable (HS) and unstable states and to analyze their clinical outcomes. Methods: In this observational study, patients aged 18 years and above who received antibiotics upon admission and had a culture report were included. These patients were categorized into the following groups: HS and hemodynamically unstable (HU), single or combined antibiotics group (more than one antibiotic used empirically to cover one or more groups of organisms), culture-positive and culture-negative group. The microbiological isolates were grouped according to their identified resistance patterns. The outcome parameters involved assessing the differences in empiric antibiotics use upon admission and microbial resistance with hemodynamic stability and investigating any associations with ICU and hospital outcomes. Results: The study included a total of 2675 patients, of which 70.3% were in the HS group, and 29.7% in the HU group. The use of combination antibiotics was significantly higher (p < 0 .0001) across all groups. Carbapenems were used more frequently in the single antibiotic group (p < 0 .001). The culture was positive in 27.8% (n = 747) of patients. A significantly higher number of patients in the HU group (p < 0 .001) were found to have carbapenem-resistant and multidrug-resistant organisms. The ICU and hospital mortality rates were significantly higher in the HU group (p < 0 .001), the culture-positive group with resistance (p < 0 .001), and the HS patients who received combination antibiotics. Conclusion: The usage of combination antibiotics, coupled with the presence of resistant organisms, emerged as an important variable in predicting ICU and hospital mortality rates in cases of community-acquired sepsis.

Impact of obesity on intensive care unit outcomes in older patients with critical illness: A cohort study.

Although the paradoxical association between obesity and improved survival has been reported in a variety of clinical settings, its applicability to intensive care unit (ICU) outcomes in older critically ill patients remains unclear. We sought to examine the association between obesity and 30-day mortality and other adverse outcomes in this population. We analyzed data of older patients (≥ 60 years) in the eICU Collaborative Research Database. Body mass index (BMI) was stratified according to the World Health Organization obesity classification. Logistic regression model was used to estimate adjusted odds ratios (ORs), and cubic spline curve was used to explore the nonlinear association between BMI and 30-day ICU outcomes. Stratified analysis and sensitivity analysis were also performed. Compared with class I obesity, under- and normal-weight were associated with higher all-cause, cardiovascular and noncardiovascular mortality, and class III obesity was associated with greater all-cause and cardiovascular mortality (OR, 1.18 [95% CI, 1.06-1.32], 1.28 [1.08-1.51]). Obesity classes II and III were associated with higher composite all-cause mortality, mechanical ventilation, or vasoactive drug usage risks (OR, 1.12 [95% CI, 1.04-1.20], 1.33 [1.24-1.43]). Mechanical ventilation was strongly positively associated with BMI. A significant BMI-by-sex interaction was observed for cardiovascular mortality, such that the association between severe obesity and mortality was more pronounced among older men than older women. The obesity paradox does not appear to apply to short-term ICU outcomes in older patients with critical illness, mainly due to increased all-cause and cardiovascular mortality in severely obese patients, particularly in men.

Hospital-Level NICU Capacity, Utilization, and 30-Day Outcomes in Texas

Risk-adjusted neonatal intensive care unit (NICU) utilization and outcomes vary markedly across regions and hospitals. The causes of this variation are poorly understood. To assess the association of hospital-level NICU bed capacity with utilization and outcomes in newborn cohorts with differing levels of health risk. This population-based retrospective cohort study included all Medicaid-insured live births in Texas from 2010 to 2014 using linked vital records and maternal and newborn claims data. Participants were Medicaid-insured singleton live births (LBs) with birth weights of at least 400 g and gestational ages between 22 and 44 weeks. Newborns were grouped into 3 cohorts: very low birth weight (VLBW; <1500 g), late preterm (LPT; 34-36 weeks' gestation), and nonpreterm newborns (NPT; ≥37 weeks' gestation). Data analysis was conducted from January 2022 to October 2023. Hospital NICU capacity measured as reported NICU beds/100 LBs, adjusted (ie, allocated) for transfers. NICU admissions and special care days; inpatient mortality and 30-day postdischarge adverse events (ie, mortality, emergency department visit, admission, observation stay). The overall cohort of 874 280 single LBs included 9938 VLBW (5054 [50.9%] female; mean [SD] birth weight, 1028.9 [289.6] g; mean [SD] gestational age, 27.6 [2.6] wk), 63 160 LPT (33 684 [53.3%] female; mean [SD] birth weight, 2664.0 [409.4] g; mean [SD] gestational age, 35.4 [0.8] wk), and 801 182 NPT (407 977 [50.9%] female; mean [SD] birth weight, 3318.7 [383.4] g; mean [SD] gestational age, 38.9 [1.0] wk) LBs. Median (IQR) NICU capacity was 0.84 (0.57-1.30) allocated beds/100 LB/year. For VLBW newborns, NICU capacity was not associated with the risk of NICU admission or number of special care days. For LPT newborns, birth in hospitals with the highest compared with the lowest category of capacity was associated with a 17% higher risk of NICU admission (adjusted risk ratio [aRR], 1.17; 95% CI, 1.01-1.33). For NPT newborns, risk of NICU admission was 55% higher (aRR, 1.55; 95% CI, 1.22-1.97) in the highest- vs the lowest-capacity hospitals. The number of special care days for LPT and NPT newborns was 21% (aRR, 1.21; 95% CI,1.08-1.36) and 37% (aRR, 1.37; 95% CI, 1.08-1.74) higher in the highest vs lowest capacity hospitals, respectively. Among LPT and NPT newborns, NICU capacity was associated with higher inpatient mortality and 30-day postdischarge adverse events. In this cohort study of Medicaid-insured newborns in Texas, greater hospital NICU bed supply was associated with increased NICU utilization in newborns born LPT and NPT. Higher capacity was not associated with lower risk of adverse events. These findings raise important questions about how the NICU is used for newborns with lower risk.

Improving Prediction of Survival for Extremely Premature Infants Born at 23 to 29 Weeks Gestational Age in the Neonatal Intensive Care Unit: Development and Evaluation of Machine Learning Models.

Infants born at extremely preterm gestational ages are typically admitted to the neonatal intensive care unit (NICU) after initial resuscitation. The subsequent hospital course can be highly variable, and despite counseling aided by available risk calculators, there are significant challenges with shared decision-making regarding life support and transition to end-of-life care. Improving predictive models can help providers and families navigate these unique challenges. Machine learning methods have previously demonstrated added predictive value for determining intensive care unit outcomes, and their use allows consideration of a greater number of factors that potentially influence newborn outcomes, such as maternal characteristics. Machine learning-based models were analyzed for their ability to predict the survival of extremely preterm neonates at initial admission. Maternal and newborn information was extracted from the health records of infants born between 23 and 29 weeks of gestation in the Medical Information Mart for Intensive Care III (MIMIC-III) critical care database. Applicable machine learning models predicting survival during the initial NICU admission were developed and compared. The same type of model was also examined using only features that would be available prepartum for the purpose of survival prediction prior to an anticipated preterm birth. Features most correlated with the predicted outcome were determined when possible for each model. Of included patients, 37 of 459 (8.1%) expired. The resulting random forest model showed higher predictive performance than the frequently used Score for Neonatal Acute Physiology With Perinatal Extension II (SNAPPE-II) NICU model when considering extremely preterm infants of very low birth weight. Several other machine learning models were found to have good performance but did not show a statistically significant difference from previously available models in this study. Feature importance varied by model, and those of greater importance included gestational age; birth weight; initial oxygenation level; elements of the APGAR (appearance, pulse, grimace, activity, and respiration) score; and amount of blood pressure support. Important prepartum features also included maternal age, steroid administration, and the presence of pregnancy complications. Machine learning methods have the potential to provide robust prediction of survival in the context of extremely preterm births and allow for consideration of additional factors such as maternal clinical and socioeconomic information. Evaluation of larger, more diverse data sets may provide additional clarity on comparative performance.

Limited English Proficiency and Outcomes in the Intensive Care Unit: An Integrated Review.

Language barriers place patients at risk of substandard care. Hospitalized patients with limited English proficiency (LEP) face unique challenges, especially in the intensive care unit (ICU). The purpose of this review is to critique and synthesize quantitative evidence on LEP and ICU outcomes. Quantitative studies published in English between 1999 and 2022 were queried using intentional terminology. Searches yielded 138 results, with 12 meeting inclusion criteria. The analysis resulted in the extrapolation of five themes pertinent to outcomes of ICU patients or families with LEP: (a) knowledge deficit relating to conditions and care; (b) lack of language-appropriate care; (c) alienation from care process; (d) decreased confidence and ownership of care; and (e) relationship to clinical quality indicators. Outcomes associated with LEP were largely negative and revealed unmet needs for ICU patients with LEP. More research is needed to improve linguistically and culturally congruent care in the ICU.

Effect of dysnatremia and dysglycemia on outcomes among surgical intensive care unit patients

Objectives: The objectives of this study were to evaluate the relationships between serum sodium and glucose concentrations and outcomes among patients admitted to the surgical intensive care unit. Materials and Methods: Patient records admitted to the surgical intensive care unit (SICU) between July 2020 and December 2020 were used in the study. Data included in the analysis were patient age, gender, comorbidities, surgical intervention, diagnosis of sepsis, sequential organ system failure scores, serum sodium concentrations, serum glucose concentrations, and surgical intensive care unit outcomes (discharged vs. deceased). A univariate logistic regression analysis was used to determine significant risk factors for mortality during a surgical intensive care unit stay. Results: A total of 194 patients with a mean age of 60±16 years were admitted to the SICU during the study period. Twenty-three percent of the patients were found to have sepsis with 18% mortality. Serum sodium and glucose concentrations were significantly higher (P-value ≤0.05) at all-time points in deceased patients compared to those who were discharged from the SICU. Conclusion: The results of the study indicate that serum sodium and glucose concentrations could be used as independent predictors of mortality in surgical intensive care unit patients with sepsis. However, further clinical trials are warranted before this application could be recommended in surgical intensive care units.

Impact of Corticosteroid Therapy on ICU Patient Outcomes in Severe COVID-19 Cases: A Retrospective Cohort Study in Saudi Arabia.

The COVID-19 pandemic has presented significant challenges in clinical management, and intensive care units (ICUs) worldwide have become epicenters of high-stakes treatment decisions. Among these, corticosteroid therapy has risen as a pivotal, yet controversial, treatment modality. In Saudi Arabia, where unique demographic and health system characteristics intersect, understanding the specific effects of corticosteroids on ICU patient outcomes is not just critical but a pressing necessity in tailoring effective COVID-19 management strategies. This study aims to elucidate the effects of corticosteroid therapy on the outcomes of severe COVID-19 patients in Saudi Arabian ICUs, providing critical insights into treatment efficacy and guiding future clinical practices. In this cohort study, we meticulously reviewed the medical records of 1085 severe COVID-19 patients admitted to Saudi Arabian ICUs. Our analysis focused on demographic details, ICU outcomes, and the extent and implications of corticosteroid therapy. The study employed comprehensive methods for data collection, evaluation criteria, and statistical analysis, ensuring a thorough understanding of the impact of corticosteroids in this context. The study encompassed 1085 patients, predominantly male (74.5%, N=806), with an average age of 56 and a mean BMI of 30.07. A significant portion (72.3%, N=784) received corticosteroid therapy. These patients generally experienced longer ICU (mean 23 days) and hospital stays (mean 16 days), along with higher rates of microbiological cure (72.3%, N=648) and increased ICU discharge likelihood. Conversely, corticosteroid recipients showed higher mortality rates at ICU discharge. The statistical analysis confirmed the significance of these findings, reinforcing their importance in managing COVID-19 in ICUs. The research highlights the intricate dynamics of corticosteroid use in treating severe COVID-19 cases in ICUs. While associated with prolonged ICU stays and increased mortality, corticosteroids also correlate with higher microbiological cure rates and discharge likelihood. These insights call for careful deliberation in applying corticosteroid therapy, with implications for enhancing clinical protocols and guiding future research in severe COVID-19 treatment.

Role of lactate level in predicting admission need to intensive care unit and short term outcomes in patients with acute gastrointestinal bleeding

Abstract Background One of the most common emergencies seen in emergency departments is acute gastrointestinal bleeding (GIB). It’s associated with more disease burden and mortality. Increased venous lactate levels are common in critically ill patients, and it has been used as a possible predictor of patients’ outcomes in many critical cases, but not much is known about its predictive role in patients with acute GIB. With increasingly limited health care resources, there has been such an interest in coast saving measures and measuring lactic acid through venous blood gases is such a simple bedside test which can be easily done to patients with acute GIB at emergency department. Objective This study assessed the predictable value of lactate level on hospital admission on resource use, including length of hospital stay and admission to the intensive care unit (ICU), as well as other patient-oriented outcomes, including the need for blood transfusions and endoscopy. Patients and methods A prospective cohort hospital based study that included 300 patients with acute GIB who presented to emergency department (ED) of Assiut University Hospital between September 2019 and June 2022 were subjected to venous blood lactate through venous blood gases. Results The current study enrolled 300 patients with acute GIB. Two hundred of those patients had elevated blood lactate and 100 patients had normal blood lactate. It was found that patients with elevated blood lactate had significantly prolonged hospital stay (7.38 days ± 2.05 days vs. 3.96 days ± 1.74 days; (P &lt; 0.001). Also they had higher frequency of blood transfusion (98% vs. 72%), ICU admission (95% vs. 67%) and mortality (9% vs. 3%) in comparison to those with normal lactate level. Conclusion It was found that venous lactate level is an effective predictor for patient’s outcomes among patients with acute GIB.