Critical Care

Sepsis mimics resemble sepsis clinically but may require different treatments. We evaluated whether inflammatory protein profiles could distinguish these conditions in a retrospective case-control study using 4 prospective Japanese cohorts. The study included 34 adults with sepsis and 46 with sepsis mimics. We measured 92 proteins using Olink, assessed between-group differences with false discovery rate (FDR) adjustment, and evaluated 3 prediction models using repeated nested cross-validation. No protein met the FDR threshold; the lowest FDR-adjusted P value was 0.345. The primary elastic-net model had an area under the receiver operating characteristic curve of 0.442 (95% confidence interval, 0.315-0.574), based on cross-validation predictions averaged for each participant. Random forest and gradient boosting also showed no clear evidence of discrimination above chance. Confidence intervals included chance performance in both the all-serum and quality-control-Pass sensitivity analyses. In this cohort, a single measurement of an inflammation-focused protein panel showed limited discrimination between sepsis and sepsis mimics. Integration with clinical information and longitudinal measurements warrants further investigation.

Sepsis causes approximately 11 million deaths globally each year. Whole-genome sequencing (WGS) of founder populations offers a unique opportunity for discovery of genes related to susceptibility of sepsis. We performed GWAS and EXWAS on WGS data for n=210 Arab ICU patients (n=68 sepsis cases, n=142 controls, other ICU-related disorders) and prioritized n=40 associated deleterious founder variants in n=31 genes (REGENIE Firth regression p < 0.05; CADD score > 20; enriched AAF vs AllofUs/gnomAD), including a novel start-loss variant in UBE2L3 (c.2T>G; p.Met1?; CADD = 25.6; SIFT = 0.001) in sepsis cases (3/68 vs 0/142 controls; Fisher's exact P = 0.026). In All of Us (AoU), UBE2L3 missense burden was associated with bacterial infection (n=26,939 cases; SKAT-O P = 2.38x10-3; OR=23.10; 95% CI = [0.63-845.27]). LLM AI models fine-tuned for drug development scored UBE2L3 a 7.8 of 10 as a drug target for sepsis, consistent with mouse UBE2L3 KO showing increased IL-1Beta mediated inflammation in sepsis.

OBJECTIVE: Sepsis-associated encephalopathy (SAE) and sepsis-associated delirium (SAD) lack confirmatory laboratory tests or biomarkers. We evaluated whether the Th17/interleukin (IL)-17 axis or neuroglial-injury biomarkers reflect acute brain dysfunction beyond systemic inflammation and whether biomarker profiles differ between these phenotypes. DATA SOURCES: EMBASE, MEDLINE/PubMed, and the Cochrane Library from inception to August 1, 2026, supplemented by backward and forward citation searching, following PRISMA 2020. STUDY SELECTION: Observational studies of adults with sepsis classified by SAE or SAD status and reporting circulating biomarker concentrations by neurological group or biomarker-outcome associations. Eighteen studies (2,388 participants; 1,863 with sepsis) were included. DATA EXTRACTION: Two reviewers independently extracted study, phenotype, assay, and outcome data. Risk of bias was assessed with the Newcastle-Ottawa Scale and certainty with GRADE. DATA SYNTHESIS: Random-effects models pooled standardized mean differences (SMDs) separately against non-septic and septic controls and odds ratios (ORs) for biomarker-outcome associations. IL-6 was the only mediator elevated in both comparative frameworks and associated with outcomes (non-septic controls: SMD, 0.54 [0.25-0.82]; septic controls: SMD, 1.05 [0.51-1.59]; OR, 1.85 [1.50-2.29]). S100B, neuron-specific enolase, IL-10, tumor necrosis factor; and interferon-gamma; were elevated versus septic controls, whereas IL-17 was modestly elevated only versus non-septic controls (SMD, 0.37 [0.01-0.73]). The IL-6 septic-control effect was concentrated in SAE (p<0.0001) and remained robust in leave-one-out and risk-of-bias sensitivity analyses. Certainty was low to very low, and all 14 computable prediction intervals included the null. CONCLUSIONS: IL-6 emerges as the leading circulating candidate biomarker of sepsis-associated brain dysfunction, while S100B and NSE capture neuroglial injury beyond sepsis. Current evidence does not establish a discriminating role for the Th17 axis. Future studies require standardized neurological phenotyping and appropriately matched septic controls to establish diagnostic value.

Background: Intracerebral hemorrhage (ICH) is associated with high early mortality. Although routine coagulation markers are clinically relevant, their incremental value for mortality prediction beyond neurologic and physiologic information is uncertain. We developed and externally validated models using first-24-hour ICU data and evaluated the added predictive value of routine coagulation measurements. Methods: We used MIMIC-IV for model development and eICU-CRD for external validation. The development cohort included 2,669 adults with non-traumatic ICH and 388 ICU deaths. Logistic regression, random forest, and XGBoost were evaluated using a patient-level 70:30 holdout split and 5-fold stratified cross-validation. External validation used a high-specificity primary eICU cohort (396 patients; 39 deaths) and a broader secondary hemorrhagic-stroke/likely-ICH cohort (1,555 patients; 168 deaths). Performance was assessed using AUROC, AUPRC, Brier score, calibration, and paired bootstrap comparisons. GCS-only and age-plus-GCS models served as clinical benchmarks. Coagulation-only, clinical-only, and combined XGBoost models were compared to assess incremental value. Results: In the internal holdout cohort, AUROCs were 0.870 for logistic regression, 0.859 for random forest, and 0.867 for XGBoost. In the primary external cohort, corresponding AUROCs were 0.804, 0.839, and 0.817; AUPRCs were 0.342, 0.419, and 0.406; and Brier scores were 0.080, 0.072, and 0.074. In the broader cohort, AUROCs were 0.826, 0.848, and 0.838. Random forest showed the numerically strongest external performance, but pairwise AUROC differences among multivariable models were not clearly supported. GCS-only achieved AUROCs of 0.780 and 0.813 in the primary and broader cohorts. Coagulation-only XGBoost showed weak discrimination (AUROC 0.598 internally, 0.598 primary external, and 0.566 broader external). Adding coagulation variables to the clinical model produced AUROC differences of 0.014 (95% CI -0.009 to 0.037) and 0.003 (95% CI -0.007 to 0.013) in the two external cohorts. Conclusions: Multivariable models based on first-24-hour ICU data retained useful discrimination across external cohorts and provided modest gains over simple GCS-based benchmarks. Routine coagulation markers alone were weak predictors and did not provide clearly supported incremental discrimination beyond broader clinical information. Cross-database transportability should be interpreted together with phenotype alignment and calibration.

Abstract Background: Chronic subdural hematoma (cSDH) remains a significant and increasingly prevalent cause of morbidity in older adults. Disease progression is sustained by de novo formed highly vascularized pseudomembranes and a persistent cycle of fluid accumulation and hematoma expansion. Although inflammatory and angiogenic pathways have been implicated in cSDH pathogenesis, the endothelial mechanisms underlying persistent vascular leak remain poorly understood. We investigated the cSDH vascular microenvironment in human patients and examined the role of vascular endothelial cadherin (VECAD) remodeling in cSDH endothelial dysfunction. Methods: Human cSDH membranes and fluid were evaluated by multiplex profiling, histology, immunofluorescence, immunoprecipitation, western blotting and exploratory bulk RNA sequencing. A human brain endothelial cell (HBEC) line was exposed to patient-derived cSDH fluid to assess VECAD remodeling, endothelial barrier permeability, and proliferation. Results: Multiplex profiling of patient-derived cSDH fluid detected mediators associated with endothelial cell (EC) activation, extracellular matrix remodeling, inflammation, and angiogenesis. In patient pseudomembranes, discontinuous VECAD coincided with erythrocyte extravasation. Two hyperdense (high-risk) specimens showed more extensive disruption than the hypodense (low-risk) specimen while vessel counts appeared similar. Bulk RNA sequencing identified an angiogenic environment and enrichment in cadherin regulation. A soluble VECAD (sVECAD) isoform was detected in cSDH fluid. Exposure of HBECs to patient-derived cSDH fluid increased EC proliferation, cytoplasmic VECAD (cVECAD) accumulation, and EC barrier permeability. Concurrent dexamethasone or minocycline treatment attenuated VECAD cleavage. Conclusions: VECAD disruption is a prominent feature of cSDH and is associated with EC barrier dysfunction. These findings support further evaluation of soluble VECAD as a candidate biomarker and of junction-preserving pathways as potential therapeutic targets.

BACKGROUND Traditional organ dysfunction classifications after severe trauma rely on binary categories (e.g., chronic critical illness [CCI] versus rapid recovery), which likely oversimplify the true heterogeneity of postinjury organ dysfunction trajectories and their underlying immune-biologic drivers. We hypothesized that severely injured trauma patients demonstrate multiple, distinct organ dysfunction phenotypes distinguished by unique immune signatures. METHODS We performed a prospective, longitudinal, observational cohort study of severely injured trauma patients at high risk for multiple organ dysfunction at a single Level 1 trauma center. Organ dysfunction was quantified daily through 28 days, death, or discharge using a trauma-specific modified Sequential Organ Failure Assessment (mSOFA) score excluding the neurologic subdomain to isolate systemic organ dysfunction from traumatic brain injury. We utilized group-based trajectory modeling to identify longitudinal mSOFA phenotypes. Plasma immune protein trajectories were compared across phenotypes using mixed-effects models with time interaction. RESULTS Sixty-nine patients were enrolled. Trajectory modeling identified five mSOFA phenotypes (c1-c5) with differences in resuscitation requirements, shock severity, and 28-day mortality, but not baseline demographics, injury severity, or early physiologic parameters. The phenotypes revealed organ dysfunction heterogeneity not fully captured by CCI/rapid recovery classification. Forty of 92 measured immune markers showed phenotype-differentiated trajectories (FDR<0.1). The most fulminant phenotype (c5) was distinguished by IL-17C, CXCL5, and CXCL6, implicating epithelial-barrier and neutrophil-trafficking mechanisms. The phenotype with highest CCI incidence (c3) was distinguished by rising CXCL9, ARTN, and TWEAK, implicating Th1 polarization and tissue-inflammation/repair signaling. The clinically distinct, older-age phenotype (c4) carried the largest differentiating signature (29 proteins), spanning renal injury/repair, endothelial activation, and adaptive lymphocyte modulation. CONCLUSIONS Organ dysfunction after severe trauma is more biologically heterogeneous than traditional clinical classifications suggest. Distinct mSOFA trajectory phenotypes correspond to distinct immune signatures, supporting separable pathobiology rather than a single axis of injury severity, with implications for phenotype-targeted precision immunomodulatory approaches in critical illness.

Abstract Background: In patients with sepsis and pre-existing hypertension, admission findings may not adequately describe the subsequent course of circulatory support and organ dysfunction. We developed and externally validated a model to reassess in-hospital mortality risk after the first 72 hours of intensive care. Methods: This retrospective study used MIMIC-IV for development and eICU-CRD for external validation. Patients had received vasoactive agents and remained in the ICU for at least 72 hours. Static variables were combined with features from six consecutive 12-hour windows. Imputation, feature selection, model fitting, and calibration were performed within training folds during five-fold cross-validation. The final XGBoost model was applied externally without refitting. Evaluation included discrimination, calibration, decision curves, and risk stratification, with an exploratory comparison of static-only and static-plus-dynamic feature sets. Results: The development and external cohorts included 1019 and 1747 patients, with 338 (33.2%) and 516 (29.5%) deaths, respectively. Internal area under the receiver operating characteristic curve (AUC) was 0.752 (95% CI 0.720-0.784). External AUC was 0.713 (95% CI 0.687-0.739), average precision was 0.536, the Brier score was 0.185, and the calibration slope was 0.744. Mortality increased across external risk tertiles from 13.7% to 47.3%. In an exploratory feature-set comparison, the static-plus-dynamic feature set showed a 0.071 higher internal AUC than the static feature set (95% CI 0.042-0.109). Conclusions: Information accumulated during the first 72 hours supported subsequent mortality risk stratification in this selected population. The model retained moderate discrimination externally, supporting further evaluation as an adjunct to clinical reassessment. Local calibration and the clinical consequences of acting on model predictions require evaluation before routine use.

Early risk stratification of COVID-19 patients at admission informs triage and resource allocation, particularly in low- and middle-income settings where intensive-care capacity is constrained. Most published models are not interpretable, rarely externally validated, and developed almost exclusively in high-income cohorts. We developed an interpretable random-forest classifier for three-class COVID-19 severity (Mild: not ventilated, survived; Severe: ventilated, survived; Fatal: died) using only data available within 24 hours of admission in 321 hospitalised PCR-confirmed COVID-19 patients in Pakistan. From 2,278 raw variables we retained 20 predictors by clinical screening and permutation-importance selection, with leakage-controlled multiple imputation by chained equations and SHapley Additive exPlanations (SHAP) for interpretation. A 15-feature variant was evaluated in two independent public cohorts: the Chinese iCTCF cohort (n = 894) and an Italian complete-blood-count cohort (n = 1,218). The development model achieved a macro F1 of 0.55, identifying the Fatal class most reliably (F1 0.67, recall 0.73) and Mild cases least well. SHAP identified a parsimonious set of admission-time predictors (oxygen saturation, lactate dehydrogenase, urea, C-reactive protein, age and radiographic pneumonia), including a raised urea-to-creatinine ratio in fatal cases most consistent with dehydration (median urea 80 vs 50 mg/dL, fatal vs mild; p < 0.001). Externally, the model retained useful discrimination in the Chinese cohort (mortality AUC 0.82 in 719 patients with recorded outcomes; severe-or-worse AUC 0.75; macro F1 0.50) but only modest discrimination in the Italian cohort (AUC 0.62, 95% CI 0.56-0.68), which we treat as a feature-availability stress test rather than a second validation. Cross-cohort SHAP rankings correlated strongly in China (Spearman {rho} = 0.91) and moderately in Italy ({rho} = 0.76), where most laboratory predictors were imputed and carried no information beyond the complete blood count; discrimination tracked how many predictors were actually measured. The admission-time signature converges with established markers of hypoperfusion and inflammation.

BackgroundReactive oxygen species (ROS) overproduction, inflammatory cytokines, and plasma mediators disrupt alveolar tight junction integrity and perpetuate oxidative injury in acute respiratory distress syndrome (ARDS). Biological heterogeneity of ARDS, reflected by hyper- and hypoinflammatory subphenotypes with distinct plasma mediator profiles, may contribute to heterogeneity of treatment effect. Stem cell-derived EVs have been shown to exert regenerative and immunomodulatory effects by horizontal transfer of proteins, lipids and genetic material to injured target cells. This study investigated whether extracellular vesicles derived from bone marrow (MSC-EVs) and adipose tissue (ASC-EVs) mesenchymal stem cells restore barrier integrity and redox homeostasis, and whether efficacy differs across subphenotypes. MethodsBronchial epithelial cells (BEAS-2B), microvascular endothelial cells (HMEC-1), and small airway epithelial cells (SAEC) were challenged with plasma from patients with hyperinflammatory or hypoinflammatory ARDS subphenotypes, including those treated with venovenous ECMO. MSC-EVs or ASC-EVs were added concomitantly with plasma exposure or six hours later, at a dose of 5,000 particles/cell. After 24 h, the expression of actin and tight junction proteins, zonula occludens (ZO)-1, occludin, and vascular endothelial (VE)-cadherin, was evaluated by immunofluorescence. Oxidative stress parameters, antioxidant defenses, and antioxidant enzyme activities, were measured. ResultsPlasma from patients with the hyperinflammatory ARDS subphenotype induced marked disruption of ZO-1, occludin, and VE-cadherin expression, together with actin cytoskeletal rearrangement, across BEAS-2B, HMEC-1, and SAEC cells. Barrier disruption was accompanied by increased oxidative stress markers and altered antioxidant enzyme activity. Both MSC-EVs and ASC-EVs restored tight junction protein expression and cytoskeletal organization when administered either concurrently with ARDS plasma or 6 hours after exposure, and both effectively modulated redox parameters. Delayed administration 6 hours after injury produced greater effects for several oxidative stress endpoints, particularly in cells challenged with hypoinflammatory plasma. ConclusionARDS-associated plasma mediators induce subphenotype-dependent impairment of epithelial-endothelial barrier integrity through oxidative mechanisms. Both MSC-EVs and ASC-EVs mitigate this injury, with efficacy that varies according to ARDS subphenotype and timing of administration.

Incidence of ventilator-associated pneumonia (VAP) is increased in patients admitted for brain injury. Staphylococcus aureus appears to be a particularly common pathogen in these respiratory infections. Our aim was to confirm the extent of S. aureus involvement in VAP among patients with neurological injuries. We conducted a retrospective, multicenter study including patients with and without neurological injuries who developed VAP during their ICU stay. Among 15 702 patients admitted in the participant centers during the study period. 407 were finally included in the study. S. aureus was involved in 122 (61.6%) VAP in brain-injured patients and 63 (30.1%) of non-brain-injured patients. In brain-injured patients, multivariate analysis identified age (0.97 [0.95; 0.98]), antibioprophylaxis (0.31 [0.18; 0.53]; p < 0.0001), subarachnoid hemorrhage (2.18 [1.01; 4.68]; p=0.0461), lower Glasgow coma score (0.92 [0.87; 0.97]; p= 0.004) and SAPS II (0.98 [0.97; 1]; p=0.0174) as critical factors associated with the risk of S. aureus in VAP. In the non-brain-injured population, multivariate analysis identified antibioprophylaxis (0.38 [0.22; 0.65]; p=0.0006), age (0.96 [0.95; 0.98]; p<0.0001), SAPS II (0.98 [0.97; 1]; p=0.0265), thoracic surgery (0.21 [0.09; 0.48]; p=0.0002) and peripheral neurosurgery (1.95 [1.2; 3.19]; p=0.0076) as critical factors. A total of 172 patients (42.3%) died during their ICU stay and 90-days mortality was 194 (47.7%). No difference of mortality was noticed function of VAP-associated pathogen.

Introduction: Fighting the ventilator (FV) is characterized by a patients active counteraction of respiratory gas flow across multiple breaths during mechanical ventilation. An effective ventilation is prevented during such episodes. The objective of this exploratory study was to evaluate clinicians knowledge, perception and agreement regarding this condition. Methods: In a cross-sectional online survey, medical professionals with experience in intensive care medicine (mostly neonatal and pediatric patients) responded to 11 questions covering various clinical aspects of FV. Results: All respondents were familiar with the phenomenon and assessed it to be clinically relevant. Neonates were perceived to be predominantly affected. Promoting factors of FV included inadequate sedation and ventilation-associated factors. In clinical practice, the participants identified FV by clinical evaluation, analysis of ventilator waveforms and capnography and used both pharmacological and non-pharmacological intervention strategies. There was no consensus concerning the English terminology of the condition. Only few respondents were familiar with local guidelines to manage FV. Conclusion: Although there was consensus on the relevance of FV, diagnostics and management strategies were highly heterogeneous. Many participants agreed that poor patient-ventilator synchrony was an important cause of FV. Future work should focus on characterizing and generating evidence on FV.

Abstract Background: Mean arterial pressure (MAP) is pharmacologically augmented in selected perioperative and critical care settings, including acute neurological conditions and after cardiac arrest, with the aim of improving cerebral perfusion, although it remains uncertain whether higher arterial pressure translates into increased cerebral blood flow (CBF). We investigated the CBF response to MAP augmentation with norepinephrine (NE), a commonly used vasopressor in perioperative and critical care settings, during propofol-based general anesthesia. Methods: In this prospective within-subject interventional study, 16 neurologically intact patients with ASA physical status I-II undergoing elective surgery were studied using phase-contrast magnetic resonance imaging. CBF was quantified in the awake state and during propofol-based general anesthesia before and after NE-induced MAP augmentation. During general anesthesia, NE was titrated to increase MAP by approximately 25% from baseline. Concurrent systemic hemodynamics were assessed. Results: General anesthesia was associated with a 50.1% (interquartile range, 42.1?55.7%) reduction in CBF and a 24.2% (20.3-29.2%) reduction in MAP compared with the awake state (both P<0.001). During general anesthesia, NE-induced MAP augmentation increased MAP by 25.7% (21.9-32.0%; P<0.001), whereas CBF remained unchanged (P=1.000). Cardiac output remained unchanged (P=0.163), whereas systemic vascular resistance index and cerebrovascular resistance increased by 40.0% (28.7-45.2%) and 36.2% (17.7-42.8%), respectively (both P<0.001). Changes in CBF during MAP augmentation were not associated with concurrent changes in MAP, cardiac output, or systemic vascular resistance index. Conclusions: In neurologically intact patients undergoing propofol-based general anesthesia, clinically relevant NE-induced MAP augmentation did not increase CBF despite an approximately 50% lower CBF than in the awake state. These findings challenge the assumption that pharmacological elevation of an otherwise adequate MAP improves cerebral perfusion in this setting. While maintaining adequate arterial pressure remains essential, further MAP augmentation should not be assumed to increase CBF. Clinical Trial Registration: https://clinicaltrials.gov/study/NCT06855407; NCT06855407.

Objective: To test the hypothesis that selected SIRS and SOFA criteria measured at ICU admission have divergent associations with (1) the development of new culture-confirmed infections and (2) early empiric broad-spectrum antibiotic receipt in critically ill patients with cirrhosis. Design: Retrospective, observational study using electronic health record (EHR) data. Setting: Both community and academic ICUs within a five-hospital health system between July 2017 and December 2025. Subjects: Adult patients >18 years of age diagnosed with cirrhosis admitted to the ICU within 96 hours of hospital admission. Patients transferred from outside facilities and those with positive cultures collected >24 hours before ICU admission were excluded. Interventions: None. Measurements: Multivariable logistic regression tested the association of the most aberrant values in nine SIRS/SOFA vital sign and laboratory parameters measured during the 24 hours prior to ICU admission with (1) the development a newly positive culture collected during the 24 hours before through the 96 hours after ICU admission and (2) receipt of broad-spectrum antibiotics during the 24 hours before through the 24 hours after ICU admission. Main Results: The presence of hyperthermia, hypothermia, hypoxia, or hypotension at ICU admission was associated with both culture positivity and antibiotic receipt. The presence of leukocytosis was associated with antibiotic receipt but not culture positivity. Among patients in the 21.6% of encounters with newly positive cultures, normothermia and normal WBC were common (respectively present in 97.2% and 77.5% of encounters) and associated with antibiotic omission at ICU admission despite the subsequent development culture positivity. Conclusions: Traditional physiologic markers of infection are often absent in critically ill patients with cirrhosis who develop new culture-confirmed infections at ICU admission, possibly contributing to delayed antibiotics. There may be opportunities to improve antibiotic delivery and stewardship at ICU admission in this high-risk population.

Background Mortality in sepsis is often considered a direct consequence of infection and organ dysfunction, although many deaths occur after withdrawal of life sustaining treatment. The clinical factors leading to these decisions and their implications for interpreting sepsis mortality are not well characterized. Methods We performed a secondary analysis of a prospective observational cohort of adults with physician adjudicated sepsis at a tertiary academic medical center. Patients who transitioned to comfort measures only (CMO) during the index hospitalization underwent structured chart review to characterize baseline health and functional status, clinical severity, care preferences, anticipated outcomes following survival, and the primary reason for CMO transition. Results Among 239 patients with adjudicated sepsis, 42 (17.6%) transitioned to CMO. These patients had substantial underlying disease, including malignancy in 76% and immunocompromised status in 62%. However, 88% lived at home before hospitalization, 52% were independent in activities of daily living, an additional 26% were partially independent, and 90% were full code on admission. Progressive multi organ failure (19%), refractory septic shock (19%), and irreversible respiratory failure (12%) accounted for half of CMO transitions, while advanced frailty (5%) and poor baseline functional status (2%) were infrequent primary reasons. Median time from admission to CMO was 16 days (IQR 7 to 33), and median time from admission to death was 18 days (IQR 11 to 35). Anticipated ventilator dependence (62%), dialysis dependence (36%), and cognitive impairment frequently influenced goals of care discussions. Overall, 38 patients died during the index hospitalization, and 35 (92%) of these deaths followed transition to CMO. Conclusions Most CMO transitions in this cohort occurred after an evolving course of severe sepsis and were driven primarily by progressive organ dysfunction and failure to recover rather than advanced frailty or poor baseline function. These findings identify failure to recover after the acute septic insult as an important clinical trajectory and highlight the need to account for treatment limitation when interpreting sepsis mortality. Understanding why some patients recover from sepsis associated organ dysfunction while others progress to irreversible organ failure may help identify patients and mechanisms for future therapeutic intervention.

Background. Prediction models after stroke increasingly add neuroimaging information to bedside data. Whether findings documented in radiology reports improve short term risk stratification beyond a patient's evolving physiological state is unknown. Methods. We studied 4,827 adults with acute ischaemic stroke, intracerebral haemorrhage or subarachnoid haemorrhage in MIMIC IV (2008 to 2019). At eight landmarks from 6 to 48 hours after ICU admission, models ranked patients by their risk of deterioration or death within 24 hours. The baseline model combined demographic and clinical characteristics, a previously validated dynamic ICU state representation, and the physiology, treatment and imaging status at each landmark. A locally run language model extracted imaging phenotypes from 6,992 head CT and MRI reports; three phenotypes and four location categories met a pre specified reliability criterion for automated extraction in independent validation and entered the model. The primary outcome was the difference in the proportion of events captured among the 10% of patients ranked highest at each landmark, in temporal validation (2017 to 2019; 8,923 patient landmarks, 666 events). Results. Among the highest ranked 10%, adding imaging phenotypes captured no additional event (348 of 666 with and without them): a difference of 0.00 percentage points (95% CI -2.20 to +2.01). Discrimination (AUROC 0.855 vs 0.849), calibration and net benefit were similar. No prespecified sensitivity analysis, stroke subtype or availability-adjusted analysis showed statistically supported incremental capture. In a post hoc redundancy analysis, imaging phenotypes improved capture when added to demographic and clinical characteristics alone (+12.91 points, 7.54 to 17.81), but this gain was no longer evident once the dynamic state representation was included. Conclusions. Neuroimaging phenotypes derived from routine radiology reports were associated with short-term deterioration, but we found no evidence that they added risk stratification value beyond the dynamic ICU state and contemporaneous physiology.

Study Question. COPD exacerbations with respiratory failure have an outsized impact on morbidity, mortality, and healthcare costs. Physicians treat these severe events with high doses of corticosteroids out of concern for intrinsic corticosteroid resistance. This study was designed to determine whether people who suffer from exacerbations with respiratory failure have intrinsic steroid resistance that could affect that decision. Patients and Methods. A matched, case-control study was performed at University of Colorado. Subjects were enrolled into the Exacerbation group if they were hospitalized for an exacerbation requiring ventilation, or into the Stable COPD group if they had no inpatient exacerbation within 12 months. Stable COPD subjects were frequency-matched to Exacerbation subjects for age, smoking status and FEV1%. Corticosteroid sensitivity was assessed ex vivo and in vivo >45 days following the last exacerbation during a period of relative quiescence. The primary outcome was the group difference in methylprednisolone IC50 for LPS-stimulated IL-8 release by mononuclear cells. Measurements and Main Results. The Exacerbation group (N=8) had more exacerbations in the prior year (6.0 vs. 0.5; p<0.01) and had higher baseline blood lymphocytes (p<0.01) versus Stable controls (N=8). Ex vivo, methylprednisolone equally suppressed IL-8, IL-6, TNFalpha and IL-1bets release by mononuclear cells and whole blood across groups. In vivo, methylprednisolone decreased plasma mediators and mononuclear cells in both groups but had a small differential effect on mononuclear cell gene expression. Answer to the Question. Exacerbations with respiratory failure have persistent lymphocytosis, an altered gene response to corticosteroids, but no corticosteroid resistance to suppress inflammation.

Purpose Delirium affects around 40% of intensive care unit (ICU) patients and adversely affects survival, length of stay, and cognitive recovery. Despite this, implementation of systematic clinical delirium assessments is variable. We sought to validate a point-of-care electroencephalography (EEG)-based system (Ceribell, Inc.) for the detection of delirium in the ICU. Methods In this multicenter, prospective cohort study, we monitored adult ICU patients with the Ceribell EEG system for 6-8 hours for a minimum of three days. Up to three times per day, expert clinicians assessed participants for delirium and research coordinators completed Confusion Assessment Method for the ICU (CAM-ICU) assessments, which we used to calculate CAM-ICU-7 severity scores. We compared expert clinician diagnoses with Ceribell EEG algorithm output using data from 30-minute periods surrounding each clinician assessment. Results Among 225 participants analyzed (median age: 64 years, 60% male, 21% mechanically ventilated), expert clinicians performed 857 assessments and found 24% of participants were delirious during at least one assessment. The Ceribell EEG system detected delirium with a sensitivity of 81% (95% CI: 76% to 87%) and specificity of 81% (95% CI: 78% to 84%). The continuous Ceribell EEG system score correlated with CAM-ICU-7 delirium severity scores (bootstrapped median rho 0.58, IQR: 0.54-0.62, p <0.001). Conclusion In a mixed adult ICU population, the Ceribell EEG system identified delirium with good sensitivity and specificity. Its continuous output was associated with delirium severity, highlighting its potential ability to characterize underlying physiological patterns across the clinical delirium spectrum.

Background: Understanding fetal brain responses to hypoxia-ischemia is of growing interest, as it remains unclear to what extent these responses differ from those of newborns and whether developmental adaptations during gestation contribute to such differences. Materials and methods: Using a combination of broadband near-infrared spectroscopy (bNIRS) and diffuse correlation spectroscopy (DCS), we measured brain microvascular oxygen saturation (StO2), total hemoglobin concentration (THC), relative cerebral blood flow (rCBF), and the oxidation state of cytochrome c oxidase (oxCCO) during an acute ischemic challenge in the brains of five rabbit fetuses in utero. Simultaneous measurements were acquired from four control fetuses located in the contralateral uterine horn. Results: During the hypoxia-ischemia phase, we observed a rapid reduction of CBF (47% +/- 29%) and StO2, (from 64.7% +/- 1.5% at baseline to 40.6% +/- 2.0%) together with an increase of oxCCO (3.7 uM +/- 0.5 uM). Conclusion: The simultaneous increase in oxCCO and decrease in rCBF and StO2 during hypoxia-ischemia reveals a cerebral response pattern that differs from that commonly reported in the newborn brain. These findings support the hypothesis that unique developmental adaptations influence fetal cerebral metabolism during hypoxic-ischemic stress.

Background: When intravenous insulin is stopped in critically ill patients, the basal insulin dose that balances rebound hyperglycemia against hypoglycemia is uncertain, because randomized trials were small and not designed to quantify this trade-off. We examined how the first glargine dose, relative to the preceding intravenous insulin requirement, was associated with both outcomes. Methods: In this retrospective cohort study of the Medical Information Mart for Intensive Care IV database (2008-2022), we included transitions from intravenous insulin infusions of at least 6 hours to subcutaneous glargine in adults without diabetic ketoacidosis or hyperosmolar hyperglycemic state. The exposure was the ratio of the first glargine dose to 24 times the mean infusion rate over the final 6 hours. The primary outcomes, rebound hyperglycemia (glucose >180 mg/dL within 24 hours) and hypoglycemia (glucose <70 mg/dL within 48 hours) during intensive care unit follow-up, were analyzed with multivariable Cox models after multiple imputation. Results: Among 6,220 transitions in 5,924 patients (87.5% after cardiac surgery), the median ratio was 0.41 (interquartile range 0.30-0.46). Kaplan-Meier cumulative incidences were 44.4% for rebound hyperglycemia (2,109 events) and 6.4% for hypoglycemia (211 events). Each 0.1 increase in the ratio was associated with less rebound hyperglycemia (hazard ratio 0.96, 95% confidence interval 0.93-0.99) and more hypoglycemia (1.11, 1.04-1.18), consistently across 21 sensitivity analyses. Rebound within the first 6 hours (57.6% of events) was not associated with the ratio (0.99, 0.95-1.02), whereas later rebound was (0.91, 0.86-0.96). Standardized to the cohort, a ratio of 0.60 versus 0.40 corresponded to 2.7 (0.6-4.9) fewer rebound and 1.7 (-0.2 to 3.5) more hypoglycemia episodes per 100 transitions. In secondary analyses, rebound was less frequent with glargine given at least 2 hours before discontinuation (0.86, 0.77-0.96) and more frequent with an oral diet (1.49, 1.30-1.71). Conclusions: In critically ill adults, mostly after cardiac surgery, higher glargine doses relative to the preceding intravenous requirement were associated with less rebound hyperglycemia after the first 6 hours and more hypoglycemia, a gradual trade-off. Which basal fraction is preferable depends on the weight given to each outcome; a randomized trial including the guideline-implied fraction of about 0.30 is warranted.

Introduction and objectives Hydrocephalus is a common complication of aneurysmal subarachnoid haemorrhage. This is one of several standard indications for the insertion of an external ventricular drain, but there are no standard guidelines for timing of extraventricular drain discontinuation in this population. Therefore, the study aims were to examine the 1) factors associated with extraventricular drain duration in aneurysmal subarachnoid haemorrhage and 2) association between extraventricular drain duration and clinical and resource-based outcomes. Methods In this single centre retrospective cohort study, data for adult patients treated in the ICU between 2015-2023 with aneurysmal subarachnoid haemorrhage and requiring an extraventricular drain were analysed. Data were extracted from both a prospective patient registry and the electronic medical record. Linear regression modelling was used to identify the factors associated with extraventricular drain duration. Measures used to examine the association between extraventricular drain duration, and the outcomes of interest included hazard ratio, relative risk, and mean differences as appropriate for a specific outcome. Results Of the participants (n=205), 68% (n = 140) were female, mean age was 60.7 (SD 13.3) years and 71% (n = 145) had a modified Fisher score of 4. Mean extraventricular drain duration was 15.3 (SD 8.6) days. The number of days mechanically ventilated and extraventricular drain challenge by clamp trial were associated with an increased duration of extraventricular drain treatment. Increased extraventricular drain duration was associated with an increased incidence of ventriculoperitoneal shunt insertion, and an increase in ICU and hospital length of stay when extraventricular drain duration exceeded 20 days. Conclusion The factors associated with an increased duration of extraventricular drain treatment were a longer duration of mechanical ventilation. The outcomes associated with an increased duration of extraventricular drain treatment were an increased incidence of ventriculoperitoneal shunt insertion, an increased incidence of ventriculitis when extraventricular drain duration exceeded 20 days, and an increase in ICU length of stay. These study findings may inform the conduct of a larger multi-centre study to examine the factors associated with duration of treatment with extraventricular drain, and outcomes associated with extraventricular drain duration.