Journal of Stroke and Cerebrovascular Diseases

PurposeIntracranial atherosclerotic disease-related large vessel occlusion (ICAD-LVO) presents distinct challenges, particularly regarding the high risk of reocclusion and the need for specific management strategies. While several prediction scores exist to differentiate ICAD-LVO from embolic LVO (EMB-LVO), their external validity remains unproven. We aimed to externally validate six established prediction scores for differentiating the two. MethodsWe analyzed data from a prospectively maintained, two-center stroke registry (June 2021-March 2025). Consecutive patients who underwent mechanical thrombectomy and had complete clinical and imaging data necessary for calculating six scores (ISAT, REMIT, ABC2D, ATHE, ICAS-LVO, and Score-ICAD) were included. LVO etiology was defined based on angiographic findings during endovascular treatment. The discriminative performance of each score was assessed using the area under the receiver operating characteristic curve (AUC). ResultsOf 1,288 screened admissions, 91 patients met the inclusion criteria (ICAD-LVO, n = 18; embolic occlusion, n = 73). The AUCs (95% confidence interval) for differentiating etiology were: ISAT, 0.870 (0.664-1.000; P = 0.064); REMIT, 0.793 (0.676-0.911; P <0.001); Score-ICAD, 0.707 (0.582-0.833; P = 0.013); ABC2D, 0.627 (0.504-0.751; P = 0.095); ATHE, 0.600 (0.451-0.749; P = 0.230); and ICAS-LVO, 0.465 (0.301-0.630; P = 0.650). ConclusionIn this external validation, REMIT demonstrated the most robust and statistically significant discrimination between ICAD-LVO and EMB-LVO. Overall, scores incorporating imaging features outperformed those relying on clinical variables. These findings support the concept that ICAD-LVO represents a distinct pathophysiological entity from embolic occlusion and that accurate mechanism inference requires comprehensive imaging assessment of intracranial atherosclerotic disease beyond the occlusion site.

BackgroundStroke is a leading cause of mortality and disability globally. However, information about stroke burden in the Philippines is limited. We sought to analyze stroke burden in the Philippines from 1990 to 2023. MethodsIncidence, prevalence, mortality, and disability-adjusted life-years (DALYs) estimates from the Global Burden of Disease Study 2023 data were used as indicators to analyze the burden of stroke by sex and age. Temporal trends in both crude and age-standardized rates were analyzed using joinpoint regression analysis. ResultsIn 2023, stroke incidence was estimated at 156.2 (95% uncertainty interval [UI]: 140.8-175.4) thousand, prevalence at 1.2 (95% UI: 1.2-1.4) million, mortality at 72.2 (95% UI: 63.2-83.0) thousand, and DALYs at 2.1 (95% UI: 1.8-2.3) million. High systolic blood pressure was the leading contributor to risk-attributable stroke mortality and DALYs. Since 1990, age-standardized rates declined significantly, whereas crude rates increased markedly. Compared with women, men had a higher fatal burden and consistently exhibited a higher age-standardized burden. Although older adults ([&ge;] 55 years) had the highest stroke burden and achieved reductions in stroke incidence and fatal outcomes, both fatal and non-fatal burdens consistently increased among young adults (35-54 years). ConclusionWhile age-standardized rates have improved, the rising crude burden and shift towards younger adults present significant public health challenges. These trends highlight the pressing need for aggressive and targeted risk factor control, sustained risk monitoring, and strengthened acute and post-stroke care to mitigate the growing health burden of stroke in the Philippines.

BackgroundSuccessful recanalisation without functional independence is a frequent phenomenon following endovascular thrombectomy for large vessel occlusion stroke. AimTo demonstrate safety and efficacy of adjunct tirofiban therapy after endovascular thrombectomy in patients with anterior circulation large vessel occlusion stroke achieving successful recanalization defined as modified Thrombolysis In Cerebral Infarction (mTICI) 2b-3. DesignThe study of adjunct tirofiban treatment after successful endovascular thrombectomy recanalisation (ATTRACTION) is a multicenter, prospective, double-blind, randomized trial enrolling 1360 patients in China. Eligible patients will be randomised 1:1 to either the tirofiban or placebo group. OutcomeThe primary efficacy outcomes is assessed as the proportion of participants with a modified Rankin Scale (mRS) score of 0-2 at 90 days, and the primary safety outcome is symptomatic intracranial haemorrhage within 48 hours from randomisation. ConclusionThis study will provide evidence on the efficacy and safety of sequential tirofiban therapy after successful recanalisation in patients with anterior circulation large vessel occlusion stroke. Trial registration numberNCT06265051 WHAT IS ALREADY KNOWN ON THIS TOPICSuccessful recanalization without functional independence is a frequent phenomenon following endovascular thrombectomy and previous small-sample, retrospective studies supported the administration of adjunct tirofiban therapy in patients after endovascular thrombectomy achieving successful recanalization. WHAT THIS STUDY ADDSThe ATTRACTION trial aims to access the efficacy and safety of adjunct tirofiban therapy and the protocol describes the rationale and design of the trial. HOW THIS STUDY MIGHT AFFECT RESEARCH, PRACTICE OR POLICYATTRACTION trial will inform whether tirofiban therapy after successful recanalisation by endovascular thrombectomy can improve patient outcomes.

ObjectiveTo compare early cerebrospinal fluid (CSF) cytokine profiles in intracerebral hemorrhage (ICH) versus subarachnoid hemorrhage (SAH), with a focus on angiography-negative SAH (anSAH). MethodsWe conducted a retrospective observational cohort study of adults with spontaneous hemorrhagic stroke (ICH or SAH). For cytokine analyses, we included patients with external ventricular drains (EVDs) and analyzed the first CSF sample obtained within 72 hours of symptom onset. Cytokines were measured using a multiplex bead-based assay and included interleukin-6 (IL-6), interleukin-8 (IL-8), vascular endothelial growth factor A (VEGF-A), C-C motif chemokine ligand-2 (CCL2), and granulocyte colony-stimulating factor (G-CSF). Cytokine concentrations were log-transformed due to non-normal distribution. Functional outcomes were assessed using the modified Rankin Scale (mRS) at discharge and 3 months. ResultsCSF cytokine analyses included 120 patients with available CSF samples (43 ICH and 77 SAH), while functional outcome analyses included a broader cohort of 490 patients with ICH or SAH to characterize discharge and 3-month outcomes across hemorrhage subtypes. Compared with SAH, ICH demonstrated higher early CSF log[IL-8] and log[VEGF-A] and had worse functional outcomes at discharge and 3 months. Within SAH, anSAH had higher log[IL-8] and log[VEGF-A] than aSAH, and its cytokine profile more closely aligned with that of primary ICH in hemorrhages without vascular malformations. DiscussionEarly CSF cytokine patterns suggest anSAH shares a more ICH-like inflammatory signature than aneurysmal SAH, supporting anSAH as a potentially biologically distinct SAH phenotype.

ImportancePrognosticating functional independence after an acute stroke is critical for anticipatory guidance and rehabilitation planning. Here we demonstrate that poor brain health at the time of incident stroke is linked to worse functional outcomes for women compared to men. ObjectiveTo determine if brain health at time of stroke presentation has a differential effect on functional outcomes between men and women. DesignRetrospective cross-sectional study. SettingAnalysis conducted in 2025 with multi-center patient data that included participants from two large acute ischemic stroke cohorts; local (GASROS) and multinational (MRI-GENIE) between the years 2003 and 2011. ParticipantsClinical data collected for enrolled study participants included demographic data, medical history of hypertension, diabetes mellitus, hyperlipidemia, smoking status, acute stroke severity as measured by National Institutes of Health Stroke Scale (NIHSS), stroke etiology, and modified Rankin Scale (mRS) score at 90 days post-stroke. Brain health was quantified as effective reserve derived from acute neuroimaging data. Exposure(s)designated sex, retrieved from registration records. Main OutcomeFunctional outcome was measured by mRS scores at 90 days post-stroke, in men and women with poor, moderate, or good brain health at time of stroke injury. ResultsA total of 1039 patients were included in the analysis, 37.8 % women, median age 67 [interquartile range 56-77]. Women with poor brain health (i.e. lowest quartile of effective reserve) had worse functional outcomes at 90 days (55.6% with mRS>2) compared to men with poor brain health (31.2% with mRS>2: p < 0.001). This difference between men and women was not observed in categories of moderate or good brain health. There was no observed significant difference in stroke severity, volume of acute lesion, burden of white matter hyperintensities, or stroke etiology between men and women with poor brain health. Conclusions and RelevanceBrain health at the time of incident stroke has a differential effect on functional outcomes at 90 days between men and women. Women with poor brain health endure disproportionately worse outcomes compared to men. This highlights an important step in understanding sex-specific vulnerability in early recovery post-stroke, and can inform disposition, rehabilitation services, and resource allocation planning.

BACKGROUNDDelirium is common in critically ill adults but often goes unrecognized and undertreated. Little is known about the perceptions of ICU nurse and physician leaders regarding ICU delirium detection and management and the potential role of objective continuous delirium monitoring to facilitate ICU delirium care. RESEARCH QUESTIONWhat are the perceptions of ICU leaders regarding the current challenges associated with delirium recognition and management and the potential benefits of continuous delirium monitoring? STUDY DESIGN AND METHODSWe conducted a blinded, cross-sectional, electronic survey of ICU leaders across the U.S., including physician directors and nursing managers with [&ge;]3 years of ICU leadership experience. We asked about perceptions of the effectiveness of current delirium clinical assessment tools, current delirium detection and management challenges, and how an objective, continuous delirium monitoring system might impact clinician practice and patient outcomes in their ICU. RESULTSAmong the 81 respondents (62 physicians, 19 nurses), most (76%) reported that recommended delirium assessment tools (CAM-ICU, ICDSC) are used in their ICUs, though there were mixed perceptions on how reliably they are conducted. A majority (63-90%) perceived that current bedside assessments delay and limit the recognition of ICU delirium. Nearly all (89%) agreed an objective delirium monitoring tool would be more clinically valuable than current delirium assessment tools and that it would support real-time, delirium management by clinicians. CONCLUSIONSICU leaders perceive that there are limitations to using clinical delirium assessment tools in ICU patients to effectively detect and manage ICU delirium. Most felt that an objective delirium monitor could facilitate delirium detection and potentially expedite appropriate delirium management in patients.

BackgroundLarge middle cerebral artery (MCA) infarctions can result in life-threatening cerebral edema. Quantitative brain atrophy may improve risk stratification for severe edema. We examined whether quantitative brain atrophy is associated with severe midline shift after large ischemic stroke and whether incorporating atrophy improves prediction beyond established clinical and radiographic predictors. MethodsThis was a retrospective observational cohort study of patients with [&ge;][1/2] MCA ischemic infarction, presentation within 24 hours of last known well, and at least one follow-up head CT, admitted to two academic hospitals with comprehensive stroke centers between 2006 and 2024. The study was approved by the institutional review boards of both centers. Brain atrophy was quantified as the inverse of standardized brain volume on admission head CT. The primary outcome was severe radiographic mass effect, defined as midline shift [&ge;]5 mm on follow-up CT. The secondary outcome was in-hospital mortality. Multivariable regression models assessed associations between quantified atrophy and outcomes. Incremental prognostic value was evaluated by comparing models with and without atrophy using measures of goodness of fit, calibration, and discrimination. ResultsAmong 565 patients (mean age 67.5{+/-}15.7 years; 49.9% female), 223 (39.5%) developed severe mass effect. Greater atrophy was associated with lower odds of midline shift [&ge;]5 mm (OR 0.44, 95% CI 0.34-0.58), but not with in-hospital mortality. Incorporation of atrophy significantly improved prediction of severe mass effect compared to the baseline model (likelihood ratio test {chi}{superscript 2} (1) = 41, p <0.001; AIC 703 vs. 741; BIC 733 vs. 767; AUC 0.68 vs. 0.60). ConclusionsQuantified brain atrophy is independently associated with a reduced risk of severe mass effect after large MCA stroke and improved the performance of established predictive models. Incorporation of this imaging biomarker may enhance early risk stratification, monitoring, and intervention planning for patients at risk of life-threatening cerebral edema.

BackgroundEndovascular thrombectomy (EVT) has transformed the treatment of acute ischemic stroke (AIS). However, a substantial proportion of AIS patients experience poor outcomes despite successful recanalization, often due to severe neurological deterioration or life-threatening complications. Early identification of these high-risk patients remains a major unmet need. In this study, we developed and validated machine-learning (ML) models that integrate automated quantitative cerebrovascular morphology and collateral grading with demographic, clinical, laboratory, and imaging variables to predict major post-EVT complications and early neurological outcomes. MethodsUsing a prospectively collected database of 727 AIS patients that underwent EVT, we developed ML models to incorporate patient-specific vascular morphometry with conventional clinical, laboratory, and imaging data to predict emergence of early neurological deterioration (END), symptomatic intracranial hemorrhage (sICH), malignant brain edema (MBE) requiring surgical decompression, and neurogenic respiratory failure and dysphagia requiring tracheostomy/gastrostomy (TC/PEG). ResultsOur analysis of morphological features, including increased tortuosity and reduced vessel diameter, showed strong associations with complications. Morphology-informed (MI) models consistently outperformed baseline-clinical (BC) models for patients with END (AUROC 0.81 for MI model vs. 0.73 for BC), sICH (AUROC 0.68 MI vs. 0.56 BC model), MBE (AUROC 0.67 MI model vs. 0.56 BC), or patients who underwent TC/PEG (AUROC 0.66MI vs. 0.58 BC model). Statistical testing confirmed significant AUROC improvements for END, sICH and mRS (p < 0.05), Finally, patient-specific calibrated probability profiles enabled individualized, multidimensional risk stratification, revealing distinct complication-specific risk patterns across patients. ConclusionsThese findings demonstrate that cerebrovascular structure--an often overlooked yet physiologically fundamental determinant of ischemic injury and reperfusion dynamics--provides significant predictive information that is not captured by standard clinical or visual imaging assessments. Automated vascular segmentation and collateral grading techniques enable rapid and objective integration of cerebrovascular metrics into prognostic models, offering a scalable tool for precision risk stratification, supporting earlier intervention, targeted monitoring, and improved post-EVT management.

Background: Platform trials are an efficient trial design which enable testing of multiple interventions simultaneously. They could advance knowledge of treatments for intracerebral haemorrhage (ICH). We aimed to investigate the views of clinicians involved in stroke research on recruitment to a future platform trial for ICH. Methods: Between April and July 2025, we conducted a UK-wide online survey of clinicians actively involved in stroke research using convenience sampling through professional organisations. Participants considered factors related to the consent process and research environment and could provide optional free text responses about additional barriers or facilitators to recruitment. We used descriptive statistics for quantitative data and content analysis for qualitative data. Results: Among 73 respondents, 46 (63%) were female, 36 (50%) were stroke physicians, 24 (34%) nurses, 6 (8%) allied health professionals, and 7 (10%) were in other roles. 36 (49%) had >20 years of clinical experience, 45 (61%) reported spending <10% of their role in research. 66 (91%) thought that a platform trial would be a good option for testing interventions for patients with stroke due to ICH. Across 11 modifiable factors, clinicians most frequently rated perceived importance of the research question as a facilitator of recruitment (94%), while clinician preference for specific treatments was most frequently rated as a barrier (48%). Two themes emerged from free text responses: study design and infrastructure. Regarding study design respondents perceived consent procedures (n=9), study materials (n=8), study procedures (n=8), eligibility assessment (n=6), the research question (n=3) and randomization (n=3) as important for a future platform trial. Regarding infrastructure, emergent factors were staffing (n=17), local research culture and capacity (n=9), research governance and delivery (n=6), and training (n=6). Conclusion: The overwhelming majority of respondents from the UK clinical stroke community supported a platform trial for ICH, although the influence of survey responder bias is unknown.

ObjectiveDespite substantial variability in the severity of post-anoxic encephalopathy, all comatose patients after cardiac arrest are usually treated according to the same standardized intensive care protocol, including sedation, mechanical ventilation, and targeted temperature management (TTM). We hypothesize that patients with a favourable EEG pattern (continuous EEG within 12 hours after cardiac arrest) may not benefit from prolonged sedation and TTM. We studied the feasibility and safety of early cessation of sedation and TTM in this subgroup. MethodsWe conducted a non-randomized, controlled intervention study including 40 adult patients admitted to the ICU with postanoxic encephalopathy after cardiac arrest and an early (< 12 hours) favourable EEG pattern. The control group received standard care with sedation and TTM for at least 24-48 hours, whereas the intervention group underwent early cessation of sedation and TTM as soon as possible after establishing a favourable EEG, followed by weaning from mechanical ventilation. The primary outcome was duration of mechanical ventilation. Secondary outcomes included ICU length of stay, total sedation time, number of ICU complications, and neurological outcomes at 3 and 6 months. ResultsDuration of mechanical ventilation was significantly shorter in the intervention than in the control group (median 12 vs 28 h, p < 0.001). Median ICU length of stay and median total sedation time were also reduced by more than 50% in the intervention group, from respectively 2.5 to 1.2 days (p = 0.001) and 27 to 12 h (p < 0.001). There was no increase in ICU complications in the intervention group. No statistically significant differences in neurological outcomes at 3 or 6 months were observed. ConclusionEarly withdrawal of sedation is feasible and safe in patients with an early favourable EEG following cardiac arrest. The study was underpowered to detect possible differences in long-term neurological recovery. SignificanceShortening sedation and mechanical ventilation is likely to result in direct reductions in healthcare costs and contribute to more appropriate care. Larger studies are needed to evaluate the impact on long-term neurological outcomes.

AbstractsO_ST_ABSBackgroundC_ST_ABSSelf-management is essential for stroke survivors to maintain a healthy lifestyle and reduce recurrence risk. Although theory-based self-management interventions are widely recommended, the theoretical frameworks underpinning them and their comparative effectiveness remain unclear. AimsTo systematically identify the theories, models, and frameworks (TMFs) used in self-management interventions for stroke survivors, to explore how they guide interventions, and evaluate their effectiveness on self-management behaviors and self-efficacy. MethodsPubMed, Embase, Web of Science, ProQuest Health & Medical Collection and the Cochrane Library were searched from inception to July 15, 2025. Randomized controlled trials or quasi-experimental studies evaluating theory-based self-management interventions for stroke survivors were included. Two reviewers independently screened studies, extracted data, and assessed risk of bias (Cochrane RoB 2.0). Meta-analyses were performed using random-effects models. ResultsFrom 11,495 records, 32 studies with 3,212 participants were included. Sixteen distinct TMFs were identified; self-efficacy theory was most frequent (13/32), followed by social cognitive theory (6/32). All TMFs were middle-range theories. Meta-analysis showed TMFs-based interventions significantly improved self-management behaviors (SMD = 4.26, 95%CI: 0.20-8.31, I{superscript 2} = 98.2%) and self-efficacy (SMD = 0.60, 95%CI: 0.32-0.88, I{superscript 2} = 72.8%). However, the effect for behaviors is likely inflated due to extreme heterogeneity and theoretical diversity. Theory-specific analysis of self-efficacy theory (k = 8) confirmed significant effects on self-efficacy (SMD = 0.64, 95%CI: 0.21-1.08). ConclusionsThis review identified 16 distinct theoretical models; self-efficacy theory was most frequently applied, followed by social cognitive theory. Theory-based interventions significantly improved self-management behaviours and self-efficacy.

BackgroundAcute type A aortic dissection (AAAD) complicated by cardiopulmonary arrest is characterized by high mortality rates, rendering the selection of surgical candidates a subject of intense debate. Despite the necessity for cardiopulmonary resuscitation (CPR) prior to the completion of a definitive intervention, the prognostic impact of CPR duration on postoperative survival and neurological outcomes remains insufficiently elucidated. This study sought to evaluate the association between pre- and intra-operative CPR duration and the incidence of early mortality and central nervous system (CNS) complications in patients undergoing emergent surgical repair for AAAD. MethodsThis retrospective, cohort study was conducted at two tertiary community hospitals in Japan. All the patients who underwent emergency surgery for AAAD between January 2014 and December 2024 were enrolled. A multilevel Cox proportional hazards model, with each patient as level 1 and institutions as level 2, was used to evaluate the association between pre-or intra-operative CPR events and early postoperative mortality and CNS complications. ResultsOf the 880 patients enrolled, 785 (89.2%), 13 (1.5%), and 82 (9.3%) were without CPR, with CPR <15 min, and with CPR [&ge;]15 min, respectively. Among them, death within 30 days post-surgery occurred in 76/785 (9.7%), 3/13 (23.1%), and 47/82 (57.3%), respectively. CNS complications within 30 days post-surgery occurred in 141/785 (18.0%), 5/13 (38.5%), and 38/82 (46.3%) without CPR, CPR <15 min, and [&ge;]15 min, respectively. In multivariable analysis, CPR lasting [&ge;]15 min was associated with mortality within 30 days post-surgery (adjusted hazard ratio, 7.66; 95% confidence interval [CI], 3.56-16.5; P<0.001). Both CPR <15 min and [&ge;]15 min were associated with an increase in the sub-hazard ratio of CNS complications within 30 days post-surgery (adjusted sub-hazard ratios, 4.49; 95% CI, 3.92-5.11; P<0.001, and 3.62; 95% CI, 2.73-4.81; P<0.001, respectively). ConclusionA preoperative CPR duration of [&ge;]15 min prior to the initiation of cardiopulmonary bypass or extracorporeal membrane oxygenation was associated with a substantial escalation in 30-day mortality compared with patients without CPR. These findings suggest that CPR duration might serve as a pivotal prognostic indicator, necessitating careful consideration for surgical indication in patients with AAAD complicated by CPR. CLINICAL PERSPECTIVEO_ST_ABSWhat is new?C_ST_ABSO_LIPre- or intra-operative cardiopulmonary resuscitation lasting [&ge;]15 min in patients with acute type A dissection is associated with a nearly seven-fold increase in 30-day postoperative mortality. C_LIO_LIBoth short (<15 min) and prolonged ([&ge;]15 min) cardiopulmonary resuscitation are associated with a higher risk of early postoperative complications in the central nervous system. C_LI What are the clinical implications?O_LIPatients with acute type A dissection who require pre- or intra-operative cardiopulmonary resuscitation [&ge;]15 min should undergo careful multidisciplinary evaluation, as the risk of early mortality is substantially elevated. C_LIO_LIEven brief cardiopulmonary resuscitation is associated with increased neurological complications, highlighting the need for early neurological monitoring and supportive care postoperatively. C_LI

Rapid prediction of the severity of acute coronary syndrome (ACS) is crucial for appropriate intervention in emergency department. Neutrophils (Neu), lymphocytes (Lym) and monocytes (Mon) and their ratios (Neu/Lym, NLR; Mon/Lym, MLR NeuxMon/Lym, SIRI) are acknowledged to be associated with the prediction of the severity and adverse outcome of ACS patients. Here, we analysed retrospectively eosinophils (Eos) and Eos-derived novel ratios (Neu/Eos, NER; Mon/Eos, MER; Neu x Mon/Eos, SIII; Neu/Eos x Lym, NEL; Mon/Eos x Lym, MEL; Neu x Mon/Eos x Lym, SV) of first admitted 1053 ACS patients within 24 hours of symptom onset to predict ST-segment elevation of myocardial infarction (STEMI), high Gensini score (H) and cardiac dysfunction (Killip Classification l to III grades). Results showed that Eos was significantly decreased in ST (n=227), Gensini (H) (n=311) and Killip I group (n=237) (P<0.05). All Eos-derived ratios (NER, MER, SIII, NEL, MEL, SV) were significantly higher with diagnostic severity (ST, Gensini (H), and Killip I group (P<0.05). ROC analysis revealed that SIII and SV predicted ST and Gensini (H) with high specificity and sensitivity, which were similar to that of NLR, MLR and SIRI. Conclusion: Eos and Eos-derived ratios, SIII and SV in particular, are strongly linked to the prediction of the severity of ACS, along with those of well-established leukocyte ratios. The new ratios of Eos hold significant importance in emergency department for quick evaluation of ACS patients.

BackgroundPostoperative delirium is a common complication in surgical patients, and is associated with a multitude of negative outcomes, including mortality, dementia, and increased healthcare costs. Therefore, a better understanding of what factors contribute to postoperative delirium, especially those that can be easily obtained, is important. MethodsWe conducted a retrospective cohort study using patients from the Medical Information Mart for Intensive Care (MIMIC)-IV database. Adult patients undergoing procedures in abdominal surgery who did not have pre-existing delirium were included in the study. Overall, we included 8022 procedures across 7212 patients. For each admission, we extracted values obtained from common blood tests, the Charlson and Elixhauser comorbidity score, and patient demographic information. We used stepwise logistic regression to identify predictive factors of postoperative delirium in this cohort. ResultsThe model isolated factors well known to be associated with postoperative delirium, such as age, comorbidity (as represented by the Elixhauser comorbidity score), and Parkinsons disease. The model also selected variables that are less studied, such as minimum preoperative platelets and maximum preoperative sodium levels. We hypothesize that the former is associated with postoperative delirium as a surrogate marker for inflammation as an acute phase reactant, and the second due to it being a marker for cerebral edema and altered neurotransmission. ConclusionPreoperative blood tests contain valuable information that can be used alongside patient demographics and past medical history to better predict the risk of postoperative delirium.

ImportanceLarge language models (LLMs) offer potential decision support, but their accuracy varies. Prompt engineering can generally enhance LLM behavior in a clinical context, yet best practices have yet to be formally explored in realistic neurology settings. ObjectiveTo evaluate the impact of structured prompting versus simple prompting on the performance of six LLMs (three closed-source: OpenAI GPT-4o, OpenAI o3, OpenAI GPT-5.2 Thinking; three open-source: Meta Llama-4-Scout-17B-16E-Instruct, Llama-3.3-70B-Instruct-Turbo, and the reasoning model R1-1776) for thrombolytic clinical decision support (CDS) in acute stroke. DesignModels responded to three novel ischemic stroke vignettes using either a simple question ("Should this patient be offered thrombolytics?") or a five-step structured prompt (CARDS) guiding information extraction, timing analysis, contraindication checking, decision process explanation, and risk-benefit discussion. Outputs were assessed across seven domains: guideline adherence, unsafe recommendations, risk recognition, guideline grading accuracy, inclusion of conversational explanation, clarity, and overall helpfulness. ResultsStructured prompts significantly enhanced performance across most domains, with varying effects between model families. For some closed-source models (GPT-4o, o3), prompts structured in the CARDS style improved guideline adherence from 83.3% to 100%, eliminated unsafe recommendations (16.7% to 0%), and increased specific guideline grading accuracy from 0% to 100%. The closed-source reasoning model GPT-5.2 Thinking similarly achieved 100% adherence, 0% unsafe recommendations, and 100% grading accuracy with structured prompts, while also maintaining perfect safety and risk recognition under simple prompting. Similarly, the open-source reasoning model R1-1776 achieved these top-tier outcomes (100% adherence, 0% unsafe, 100% grading, 100% conversation) when structured prompts were applied, with grading and conversation improving from 0%. In contrast, other open-source models (Llama-4-Scout, Llama-3.3-70B) showed more modest gains: risk recognition improved (83.3% to 100%) and guideline grading accuracy increased (0% to 66.7%), while guideline adherence (66.7%) and unsafe recommendations (33.3%) persisted. Overall, structured prompting yielded the largest improvements in guideline grading accuracy and conversational reasoning across multiple models. ConclusionStructured prompting substantially enhances LLM performance for acute stroke thrombolysis CDS. Notably, some models, including the proprietary GPT-4o, o3, and GPT-5.2 Thinking, and the open-source reasoning model R1-1776, achieved excellent safety and adherence with structured prompts. For clinical deployment of any LLM, structured prompts are crucial, and vigilant human oversight remains essential.

Neurological health score (NHS), indicating the health of brain and nervous system, helps in identifying high risk individuals, and in recommending lifestyle modifications. In the present study, we developed NHS based on genetic, lifestyle and biochemical variables associated with eight neurological disorders - dementia, stroke, Parkinsons disease, amyotrophic lateral sclerosis, schizophrenia, bipolar disorder, multiple sclerosis and migraine. UK Biobank data from Caucasian individuals was used to develop the model, and the data from individuals of Indian ethnicity was used to validate the model. Logistic regression and XGBoost algorithms were used in selecting the significant variables for the disorders. NHS developed from the selected variables was found to be very significant after adjusting for age and sex (AUC:0.6, OR: 0.95). Higher NHS was associated with a lower risk of neurological disorders and better social well-being. Highest NHS group (top 25%) showed 1.3 times lower risk compared to the rest of the individuals. Results of our study help in developing a framework for quantifying the neurological health in clinical setting.

IntroductionThe ischaemic penumbra is the principal therapeutic target in acute ischaemic stroke (AIS). Although perfusion imaging enables identification of salvageable tissue, its availability is limited and iodinated contrast exposure carries risk. Validated blood-based biomarkers could serve as scalable surrogates for imaging-defined penumbra. ObjectiveWe conducted a systematic review and meta-analysis to assess the association between blood-based biomarkers reported in the literature and the ischaemic penumbra. MethodsWe searched Ovid MEDLINE, Embase (Ovid), PsycINFO (Ovid), and Web of Science until December 3, 2025, for studies involving human subjects with AIS aged over 18 years or animal subjects that reported the presence of infarct and ischaemic penumbra. The primary outcome was the difference in mean biomarker levels in subjects with and without ischaemic penumbrae as defined by the study authors. We used the QUADAS-2 tool to assess risk of bias. We calculated each biomarkers pooled standardized mean difference (SMD) and 95% CI where possible. Protein-protein interaction network (PPI) and pathway analyses were conducted in Cytoscape and the enrichR R package (PROSPERO: CRD42023453175). ResultsWe identified 11 studies (1765 human subjects and 8 nonhuman primates) that assessed 53 candidate blood-based biomarkers. Two studies had a low risk of bias, while nine had a risk of bias. A meta-analysis was conducted for seven biomarkers in humans from four studies. Of these, three biomarkers demonstrated significant association with penumbrae in humans: mid-regional pro-adrenomedullin (MR-proADM; SMD 0.80 [95% CI 0.49 to 1.10]), interleukin-10 (IL-10; SMD 1.94 [0.85 to 3.03]), and neuron-specific enolase (NSE; SMD -0.71 [-1.40 to -0.01]). However, substantial statistical heterogeneity was observed for several pooled biomarkers (I{superscript 2} >90%), limiting confidence in effect size precision. Amongst biomarkers where meta-analysis was not possible, 37 biomarkers showed significant association with presence of a penumbra. Oxygen radical absorbance capacity after perchloric acid treatment (ORACPCA; SMD 0.31 [0.01 to 0.60]) showed significant association with penumbra presence; 34 genes (e.g., STK26 r = 0.58, p = 0.003; MGA r = 0.58, p = 0.004; IL1B r = -0.59, p = 0.003; NUP98 r = -0.71, p < 0.001), circOGDH (r = 0.962, p = 0.002), and NT-proBNP (r = 0.199, p < 0.001) were significantly correlated with penumbra volume. PPI analysis identified IL-1{beta} as the most highly connected node (10 interactions), followed by IL-10 and HDAC1/HCAR2. Cdc42 was reported to be significantly associated with penumbrae in nonhuman primates, but there were insufficient data to calculate SMD. Pathway enrichment revealed positive associations with angiogenesis and IL-12 signalling, and negative associations with leukocyte migration, chemokine signalling, and platelet activation. ConclusionsCurrently reported biomarkers of ischaemic penumbra are not ready for clinical implementation. Although implicated pathways converge on inflammatory regulation, haemostasis, and cerebral perfusion, rigorous prospective validation is required before integration into prehospital or emergency triage workflows.

ObjectivesTo develop and validate pediatric adaptations of the Venous Excess Ultrasound Score (P-VExUS) for noninvasive estimation of central venous pressure (CVP) in critically ill children. DesignProspective observational study. SettingPICU of a tertiary-care teaching hospital. PatientsFifty-six mechanically ventilated children (median age 7.4 months, median weight 6.0 kg) with central venous catheters. InterventionsNone. Measurements and Main ResultsVenous Doppler ultrasonography of the inferior vena cava, hepatic, portal, and intrarenal veins was performed at the bedside. Two P-VExUS models were tested: (1) a categorical grading system (0-III) and (2) a semiquantitative point-based score (0-7). Both models showed significant associations with CVP. For predicting elevated CVP (>12 mmHg), model 1 achieved an AUROC of 0.74 (95% CI 0.61-0.85) with 45% sensitivity and 98% specificity, while model 2 demonstrated superior accuracy with an AUROC of 0.94 (95% CI 0.84-0.98), sensitivity 82%, and specificity 91% (p < 0.001). For detecting low CVP (<7 mmHg), model 2 also outperformed model 1 (AUROC 0.80 vs. 0.69, p = 0.02). Among individual venous Doppler components, intrarenal veins had the highest discriminative ability (AUROC 0.92), followed by hepatic (0.89) and portal (0.80) veins. ConclusionsTwo pediatric-specific P-VExUS models were feasible and accurate for estimating CVP in critically ill children. The point-based model (model 2) demonstrated superior diagnostic performance, supporting its potential as a noninvasive tool to assess venous congestion at the bedside. Research in ContextO_LIVenous congestion, reflected by elevated central venous pressure (CVP), is associated with adverse outcomes in critically ill children, including mortality and renal dysfunction. C_LIO_LIThe Venous Excess Ultrasound Score (VExUS) is validated in adults, but pediatric-specific adaptations and cutoff values remain poorly defined. C_LIO_LIThere is a need for noninvasive, bedside tools to estimate CVP in children and guide fluid management in the PICU. C_LI What This Study MeansO_LIThis study validates pediatric-specific adaptations of the Venous Excess Ultrasound Score (P-VExUS) for estimating CVP in critically ill children. C_LIO_LIThe semiquantitative point-based model provided more consistent and accurate discrimination of venous congestion compared with categorical grading. C_LIO_LIThese findings highlight the feasibility and potential clinical utility of venous Doppler ultrasonography as a noninvasive bedside tool in the PICU. C_LI

BackgroundSepsis is a major public health challenge, and reliable biomarkers are essential for distinguishing sepsis from other conditions. Neutrophil Gelatinase-Associated Lipocalin (Neutrophil gelatinase-associated lipocalin (NGAL)) has shown promise as a diagnostic marker due to its role in the immune response. This study evaluates plasma NGAL as a diagnostic tool at the time of ICU admission. MethodsWe analysed plasma NGAL and C-reactive protein (CRP) levels in 4732 adult patients admitted to four ICUs between 2015 and 2018. All patients were retrospectively screened for Sepsis-3 criteria at ICU admission. The discriminative performance of NGAL and CRP for sepsis was assessed using receiver operating characteristic (ROC) analysis, with NGAL levels adjusted for Chronic kidney disease (CKD) and age. Patients were stratified by renal function. ResultsPlasma NGAL levels were significantly higher in septic patients (p<0.001). For the whole cohort, NGAL alone yielded an Area under the curve (AUC) of 0.67 (Confidence interval (CI) 0.66-0.69), CRP yielded an AUC of 0.72 (CI 0.71-0.73, p<0.001), and combining NGAL with CRP nominally improved discriminative performance (AUC 0.74 vs 0.72, p<0.001). Stratified analyses indicated that NGAL, together with CRP, significantly outperformed CRP alone in patients with no kidney injury and those with Acute Kidney Injury (AKI) only. In contrast, differences were not significant in patients with CKD only or CKD and AKI. ConclusionIn this large cohort, NGAL showed modest discrimination for sepsis, with a nominal improvement when combined with CRP. These findings do not indicate that NGAL meaningfully improves sepsis diagnosis in the ICU.

ObjectiveTo develop and validate a predictive model incorporating behavioral telemetry signals--documentation pattern anomalies derived from routine EHR charting--alongside clinical variables for ICU mortality prediction in patients with low acute physiologic derangement. Materials and MethodsRetrospective cohort study of 46,002 adult ICU stays from MIMIC-IV v3.1 (2008-2022) with SOFA scores 0-2, excluding neurological units. We extracted 66 variables spanning demographics, acuity, behavioral telemetry, clinical enrichment, and temporal factors. Progressive logistic regression models (M1-M7) were compared using cross-validation, DeLong tests, net reclassification improvement, and calibration analysis. ResultsOverall mortality was 9.34% (4,295 deaths). The clinical model (M5) achieved cross-validated AUROC 0.691 versus 0.639 for demographics alone (M2; {Delta}AUROC = 0.052, DeLong p = 4.41x10-47). NRI was 24.3%. Discordant care patients received 30.5% more chart events than concordant patients, with the sole deficit in neurological assessments (-15.4%), refuting the neglect hypothesis. Kaplan-Meier analysis confirmed survival separation (log-rank {chi}2 = 138.6, p = 5.32x10-32). In the most conservative subgroup (SOFA 0, no sedation, no ventilation, N = 11,158), orientation omission remained associated with mortality (adjusted OR 1.52, p = 0.027). DiscussionDeep sedation and mechanical ventilation function as mediators on the causal pathway rather than traditional confounders; the discordant care signal retains significance after full sedation adjustment. ConclusionDocumentation pattern analysis adds measurable predictive value for ICU mortality risk stratification and represents a novel signal for real-time EHR-based clinical decision support.