Search Results (342)

Background/Objectives: Despite high recanalization rates associated with mechanical thrombectomy (MT), disability and death remain possible for many patients. Baseline stroke severity and reperfusion status predict outcomes; however, the influence of modifiable perioperative factors during general anesthesia (GA) remains unclear. We investigated actionable perioperative determinants of functional outcomes and 90-day mortality following MT under GA. Methods: We retrospectively analyzed 166 patients with acute ischemic stroke who underwent emergency MT with GA over 10 years (2014–2024). Poor functional outcomes were defined as a 90-day modified Rankin Scale score of 3–6, with all-cause 90-day mortality as the secondary endpoint. Independent predictors were identified using multivariable logistic regression, and discrimination was assessed using receiver operating characteristic analysis. Results: At 90 days, 56.6% of patients had poor functional outcomes, and mortality was 24.1%. Independent predictors of poor outcomes included preoperative hyperglycemia ≥140 mg/dL, vasopressor requirement, incomplete reperfusion, prolonged ventilator duration, and severe post-procedural neurological deficit. Optimal anesthetic induction dosing was strongly protective. Shorter groin puncture-to-recanalization time predicted better functional recovery. Mortality was associated with hyperglycemia, National Institutes of Health Stroke Scale ≥16, poor reperfusion, and prolonged ventilation. The models demonstrated excellent discrimination (area under the curve, 0.879 for poor outcomes; 0.923 for mortality). Perioperative physiological factors remained associated with outcomes independent of procedural success. Conclusions: Beyond technical success, perioperative physiological stability strongly influenced outcomes following MT under GA. Optimization of metabolic control, hemodynamic stability, procedural efficiency, and early ventilator liberation represents a clinically actionable strategy for improving neurological recovery and survival. Full article

Background: Chronic plantar fasciitis refractory to conservative treatment is a frequent cause of persistent heel pain and functional limitation. Although radial extracorporeal shock wave therapy (rESWT) has shown potential benefit, the relationship between clinical improvement and structural ultrasonographic changes remains unclear. The aim of this study was to evaluate the clinical, functional, and ultrasonographic outcomes associated with rESWT in patients with refractory plantar fasciitis. Methods: We conducted a prospective observational single-center study including 287 patients with plantar fasciitis refractory to conservative treatment for at least 6 months and confirmed by ultrasonography (plantar fascia thickness >4 mm). All patients received four weekly sessions of rESWT. Pain intensity (visual analog scale [VAS]), foot function (Foot Function Index [FFI]), quality of life (EQ-5D), and plantar fascia thickness were assessed at baseline and 3 months after treatment. Results: Significant improvements were observed in pain (mean VAS change, −3.73 points), function (mean FFI-disability change, −32.37 points), and quality of life (improvement in at least one EQ-5D dimension in 81.5% of patients) (all p < 0.001). The mean reduction in plantar fascia thickness was 0.14 mm. Most responders (71.8%) showed clinical improvement despite the absence of a relevant structural change, defined as a reduction in plantar fascia thickness <0.5 mm. In multivariate analysis, physically demanding occupations were associated with a lower probability of response (odds ratio, 0.32; 95% confidence interval, 0.17–0.63). The prognostic model showed moderate discrimination (area under the curve, 0.71). Conclusions: In this observational cohort, rESWT was associated with improvements in pain, function, and quality of life in patients with refractory plantar fasciitis. Clinical improvement frequently occurred despite minimal changes in plantar fascia thickness, suggesting that ultrasonographic thickness may not adequately reflect symptomatic evolution. However, the absence of a control group prevents causal interpretation of these findings. Full article

One of the main focuses of social innovation is the fight for social inclusion for all. The prevalence of violence against women with disabilities shows how the lack of recognition of diversity hinders real equality for these individuals. This violence is a structural problem that is caused by a combination of gender and disability dynamics, the perpetuating inequalities and social exclusion. Researchers have analyzed specific vulnerabilities in the areas of work, education and health, and point out that only by addressing diversity can we overcome the consequences of such discrimination. Using a qualitative methodological approach, this study utilized critical documentary analysis and a thematic review of recent scientific, academic, and institutional literature, alongside empirical data, to identify the most prevalent forms of violence faced by women with disabilities: sexual (affecting up to 80% of women with disabilities), economic (with wage gaps exceeding 24%), and institutional (a lack of accessibility to basic services). The barriers hindering these women’s access to resources and services are also highlighted. The results point to the urgent need to develop innovative public policies and social strategies that value social diversity as a driver of change. This study concludes with specific recommendations for implementing inclusive approaches that promote equality, universal accessibility, and comprehensive protection in order to move toward more just, cohesive, and innovative societies. Full article

Background: Women with endometriosis frequently experience mobility limitations that affect daily functioning. A specific tool to assess these restrictions would help clinicians to better understand patients’ functional challenges, facilitating more effective communication and shared decision making. Addressing this gap is essential for strengthening patient–professional dialogue and improving individualized care. Objective: To develop the new instrument MobEndo and to perform initial psychometric testing of the tool. Methods: The initial domains and items were generated through semi-structured interviews with patients and based on experts’ advice. Guided by the International Classification of Functioning, Disability, and Health (ICF) framework, exploratory factor analysis was conducted on data from patients diagnosed with endometriosis. Internal consistency was assessed using Cronbach’s alpha, considering values ≥ 0.70 as acceptable. Test–retest reliability was examined using intraclass correlation coefficients (ICCs), and ICC values were judged as excellent if >0.75. Construct validity was evaluated through concurrent, discriminant, and known-groups validity. For the known-groups validity hypothesis, participants were categorized by baseline pain levels. Results: The final questionnaire included 18 items, developed from responses from 301 women (mean age 38.96 ± 6.85). Factor analysis revealed two components—transitioning between body positions and performing movements requiring stabilization and executing load-bearing tasks involving the upper limbs—with the model explaining 71.78% of the total variance. Reliability was excellent, with a Cronbach’s alpha of 0.977. The ICC for the total score was 0.976 (95% CI 0.949–0.988), with similarly high values for each component. Concurrent validity correlations were significant, while discriminant validity showed no relevant associations. Known-groups analyses showed clear differences across pain-level groups. Conclusions: The questionnaire is a valid and reliable tool for capturing women’s perceived mobility limitations in endometriosis. Full article

Background and Objectives: Distal radius fractures (DRFs) are among the most common upper-extremity injuries in the elderly, with malunion leading to long-term pain and disability. This study aimed to compare the discriminative performance of the Cast Index (CI), Gap Index (GI), and Three-Point Index (TPI) for predicting malunion during follow-up after closed reduction and casting in elderly patients with dorsally displaced DRFs. Materials and Methods: This study retrospectively analyzed 274 patients aged ≥65 years (mean 73.6 ± 6.5 years) with dorsally displaced Arbeitsgemeinschaft für Osteosynthesefragen/Orthopaedic Trauma Association (AO/OTA) 2R3A fractures treated conservatively between 2018 and 2023. Standard posteroanterior and lateral radiographs were evaluated immediately post-reduction, at 7–10 days, and at 4 weeks. Cast, Gap, and Three-Point Indices were measured independently by two observers, and the mean values were analyzed. Receiver operating characteristic (ROC) analysis was used to evaluate discriminative performance for the detection of malunion. Subgroup analyses were performed based on fracture stability according to La Fontaine criteria. Results: At the final follow-up, 136 fractures (49.6%) maintained acceptable alignment, while 138 fractures (50.4%) experienced malunion. There was no significant difference in radiographic parameters between groups immediately post-reduction or at 7–10 days. The Gap and Three-Point Indices were significantly higher in the malunion group at 7–10 days and at 4 weeks (p < 0.001), but the Cast Index showed no significant between-group difference. At 7–10 days, the Gap Index [Area Under the Curve (AUC) = 0.641; cut-off = 0.33] and the Three-Point Index (AUC = 0.640; cut-off = 1.51) demonstrated modest discriminative ability. In stable fractures, both indices were statistically significantly higher in the malunion group, whereas in unstable fractures, only the Three-Point Index was statistically significantly higher in the malunion group (p < 0.001). Conclusions: The Gap and Three-Point Indices showed greater discriminative ability than the Cast Index for malunion after conservative management of DRFs in elderly patients. Thresholds of GI ≥ 0.33 and TPI ≥ 1.51 at 7–10 days may serve as practical quantitative indicators to identify patients who may warrant closer follow-up and possible cast reassessment in conjunction with standard radiographic assessment and clinical judgment. Full article

Background: Major Depressive Disorder (MDD) is one of the leading causes of disability worldwide. Deep learning methods have been widely used for MDD detection, with research suggesting that deep models outperform traditional machine learning techniques. However, detecting MDD remains challenging due to data heterogeneity, model complexities and the requirement for discriminative feature representations. Objective: This review outlines recent progress in deep learning methods for MDD detection from Resting-state fMRI (rs-fMRI), with a focus on the model’s generalisability and features that most effectively represent the function/anatomy of the brain to contribute to biomarker identifications and interpretability. Further, the review assesses the applicability of current models to real-world challenges. Methods: This systematic review followed the PRISMA guidelines. Studies involved clinically diagnosed MDD subjects, a control group, and deep learning methods for classification tasks. Results: The cerebellum, thalamus, amygdala, insula, and default mode network are the most frequently reported brain regions associated with depression. Although deep learning has shown impressive results, it has limitations in terms of reliance on labelled data, heterogeneity of data from various hospitals, and model interpretability. A majority of the studies lacked external validation and had a single-site dataset or regionally homogeneous datasets, and did not consider the temporal and dynamic nature of rs-fMRI data. Conclusion: Deep learning offers considerable potential in advancing MDD diagnosis and understanding its mechanisms. Multi-regional data collection, harmonisation techniques, and rigorous testing in real-world workflows should be the primary focus of future research. Full article

Background/Objectives: Diabetic peripheral neuropathy (DPN) and Charcot foot (CF) represent progressive and disabling neuropathic complications of type 2 diabetes mellitus (T2DM). Circulating microRNAs and inflammatory cytokines may reflect underlying molecular alterations associated with disease progression and offer potential value for discriminating between stages of diabetic neuropathic complications. This study aimed to evaluate circulating miRNA expression profiles and inflammatory cytokine biomarkers in T2DM patients with and without neuropathic complications and to assess their potential non-invasive utility as combined biomarkers for differentiating disease stages and identifying molecular patterns associated with progression from T2DM to DPN and CF. Methods: The study included the following four groups: healthy controls, T2DM patients without complications, T2DM patients with DPN, and T2DM patients with CF. Expression profiles of five miRNAs (miR-19b-3p, miR-451a, miR-199a-3p, miR-146a-5p, and miR-93-5p) were quantified using qPCR. Inflammatory cytokine biomarkers including NLRP3, TNF-α, NF-κB, IL-1β, caspase-3, and Serpin E2 were measured using ELISA assays. Results: Distinct expression patterns of both miRNAs and inflammatory cytokine biomarkers were observed across diabetic neuropathy stages. Several miRNAs demonstrated significant dysregulation in DPN and CF compared with T2DM patients without complications. Correlation analyses revealed stage-specific patterns of interaction between inflammatory cytokines and miRNAs, indicating coordinated molecular alterations across different stages of diabetic neuropathic complications. Conclusions: These findings suggest that combining circulating miRNA and inflammatory marker profiles may improve the discrimination of CF from other diabetic neuropathic stages and may support clinical assessment when conventional diagnostic methods remain unclear. However, prospective longitudinal studies are required to determine their value for risk prediction and disease progression. Full article

Small fiber neuropathy (SFN) is an early and common manifestation of diabetic polyneuropathy in type 2 diabetes mellitus (T2DM), often presenting with pain, dysesthesia, and autonomic dysfunction. Conventional diagnostic methods primarily assess large nerve fibers and may miss early small fiber damage, while skin biopsy, though considered the reference standard, is invasive. Corneal confocal microscopy (CCM) offers a rapid, noninvasive alternative for visualizing and quantifying small nerve fiber pathology in vivo. This was a monocentric observational study including 80 adults with T2DM (18–75 years), conducted at Alexandrovska Hospital, Sofia. Peripheral neuropathy was evaluated using a modified Neuropathy Disability Score and CCM-derived corneal nerve fiber density (CNFD), length (CNFL), and branching density (CNBD). Autonomic and sudomotor function were assessed by cardiovascular reflex tests and Sudoscan. Additional measures included vibration perception threshold, carotid intima–media thickness, body composition analysis, and laboratory parameters. Autonomic neuropathy was present in 66.7% and peripheral neuropathy in 57.5% of participants. Affected patients were older and had higher BMI and longer diabetes duration; peripheral neuropathy was additionally associated with higher HbA1c. Corneal nerve parameters negatively correlated with diabetes duration, HbA1c, intima–media thickness, and vibration threshold. Patients with diabetic retinopathy showed significantly reduced CNFD and CNFL. ROC analysis demonstrated significant discriminative ability of the HRV index for identifying peripheral neuropathy and of CNFD for detecting sudomotor dysfunction. These findings support CCM as a valuable, noninvasive marker of small fiber damage, closely linked to metabolic control, vascular impairment, and both sensory and autonomic dysfunction in T2DM. Full article

Background: Circulating cytokines and their soluble receptors in body fluids have been implicated in the pathogenesis of multiple sclerosis (MS). Alterations in serum levels of pro- and anti-inflammatory cytokines and/or their soluble receptors can dysregulate central nervous system (CNS) signaling pathways and, therefore, may serve as potential biomarkers for the diagnosis of MS. Therefore, the primary end-point of this study is to investigate the utility of various cytokines and their soluble receptors as diagnostic biomarkers in MS. The secondary outcome is also to assess whether these cytokines are useful in differentiating the severity of MS. Methods: In this case–control study, we compared a panel of pro-inflammatory interleukins (ILs), including IL18 and tumor necrosis factor-alpha (TNFα), soluble IL receptors (sIL7Rα and sIL2Rα), and insulin-like growth factor-1 (IGF-1) in 45 MS patients and in 45 healthy control individuals matched for sex and age. Associations of these biomarkers with age, disease severity (Expanded Disability Status Scale [EDSS]), disease duration, and age at first MS symptom onset were also assessed. Results: Serum levels of cytokines and soluble IL receptors were elevated in MS patients compared to healthy controls. IGF-1 was lower (p < 0.001) in the MS patients than in the healthy individuals. The serum level of IGF-1 was higher (p < 0.01) in the remitting-relapsing phase compared to the primary progression and secondary progression stages. Similarly, only IGF-1 was more elevated (p < 0.01) in the mild stage compared to the moderate stage based on the EDSS score. Receiver operating characteristic (ROC) curve analysis demonstrated that IL18 had excellent discriminatory power for the diagnosis of MS (p < 0.001), with an area under the curve (AUC) of 0.96 ± 0.017, followed by IGF-1 (p < 0.001), which showed strong diagnostic performance (AUC = 0.873 ± 0.037). Soluble (s) IL2Rα exhibited fair diagnostic accuracy (p < 0.001; AUC = 0.717 ± 0.054). In contrast, sIL7Rα and TNFα showed poor discriminatory power despite statistical significance (p < 0.01), with AUC values of 0.675 ± 0.057 and 0.687 ± 0.056, respectively. Results of regression analysis revealed that EDSS, duration of disease, and use of any treatment had no impact on the cytokines. Similarly, no significant correlations were noted between these confounders and cytokines, except a moderate negative correlation (−0.418) between IGF-1 and EDSS. Conclusions: IL18 and IGF-1 have the potential to be used as biomarkers in distinguishing MS from healthy individuals. However, both biomarkers failed to demonstrate the discrimination between various phenotypic patterns of disease, limiting their utility for disease stratification. Future studies with larger, longitudinal cohorts and multi-marker panels are warranted to validate these results and to explore whether combining cytokines with imaging or genetic markers can improve prognostic precision. Full article

Background: Oral frailty is an emerging determinant of late-life disability. While objective functional measures have been proposed as key indicators, their combined role in predicting frailty among physically active older adults remains unclear. Therefore, this study aimed to investigate the association between the presence of oral frailty and lip pressure, bite force, and denture use. Methods: This cross-sectional study included 192 participants aged 60 years or older from Brazil (n = 131) and Portugal (n = 61), all physically active and with ≥20 natural or rehabilitated teeth. Data were collected through a questionnaire on sociodemographic data and the Oral Frailty Index-8. The clinical assessment included lip pressure, bite force, and denture use. Multiple logistic regression identified independent predictors; model fit and discrimination were examined using the Hosmer–Lemeshow test and ROC curve. Results: Participants were mainly female (83.3%), mean age ≈72 years; 76% used dentures and frailty prevalence was ≈49%. Higher lip pressure (OR = 0.986, 95% CI = [0.973–0.999]) and higher bite force (OR = 0.925, 95% CI = [0.885–0.967) were independently protective, whereas denture use (OR = 6.898, 95% CI = [2.994–15.895]) markedly increased oral frailty odds. The model showed good discrimination (AUC 0.779). Conclusions: Even small increases in lip pressure and bite force reduced the likelihood of frailty, while denture use identified individuals at substantially higher risk. These findings highlight orofacial muscle strength and masticatory capacity as core components of oral frailty and support incorporating lip pressure and bite force testing into multidimensional frailty assessment and targeted rehabilitation. Full article

Ischemic stroke remains a major cause of mortality and long-term disability worldwide, and improved strategies for identifying individuals at elevated vascular risk are needed. Serum autoantibodies have emerged as potential biomarkers reflecting vascular injury and immune activation; however, their integrative biological significance and incremental predictive value beyond established clinical risk factors remain unclear. We analyzed 833 participants, including patients with acute ischemic stroke (AIS) or transient ischemic attack (TIA) and healthy controls. Serum levels of anti-PDCD11 antibody (Ab), anti-DNAJC2 antibody, and anti-PAI-1 (SERPINE1) antibody were quantified, and multivariable logistic regression and machine-learning (ML) models (logistic regression and random forest) were constructed using clinical variables with and without antibody markers. Model performance was evaluated using cross-validation, bootstrap-derived confidence intervals, calibration metrics, and reclassification indices. Model interpretability analyses, principal component analysis (PCA), unsupervised clustering, and propensity score matching were performed to explore latent biological structures. Clinical-only models demonstrated excellent discrimination (bootstrap Area Under the Curve (AUC) 0.917 for random forest and 0.919 for logistic regression). The addition of antibody markers yielded similar performance (AUC 0.913 and 0.923, respectively) without evidence of meaningful improvement in reclassification. However, SHapley Additive exPlanations (SHAP) analysis identified antibody markers as influential contributors following major clinical risk factors. PCA revealed a dominant antibody component explaining approximately 79% of the variance, which remained independently associated with stroke after age adjustment. Unsupervised clustering further identified a high-risk subgroup characterized by consistently elevated antibody levels. These findings support the presence of a latent antibody axis associated with vascular vulnerability. Although antibody markers did not substantially enhance global predictive performance, they captured integrated biological signals reflecting cumulative vascular and immunological stress. Autoantibody profiling may complement conventional risk assessment by improving biological characterization of stroke susceptibility. Prospective validation in independent cohorts is required prior to clinical implementation. Full article

Background and Objectives: Employment is a major determinant of quality of life in people with multiple sclerosis (pwMS). This multicenter cross-sectional study aimed to identify which commonly studied demographic, disease-related, clinical, cognitive, and psychological variables, alongside the presence of lower urinary tract symptoms (LUTS), predict employment status in pwMS. Materials and Methods: Seventy-eight pwMS were classified as either full-time employed (n = 41) or non-employed (n = 37). Participants underwent clinical and neuropsychological assessment including disability status (Expanded Disability Status Scale; EDSS), fatigue (Modified Fatigue Impact Scale; MFIS), information processing speed (Symbol Digit Modalities Test; SDMT), depressive symptoms (Hospital Anxiety and Depression Scale-Depression; HADS-D), and LUTS status (presence/absence), alongside demographic and disease-related variables (sex, age, education level, relationship status, and disease duration). Results: Hierarchical binary logistic regression indicated that higher information processing speed was associated with higher odds of employment (OR = 1.11, p = 0.008), whereas the presence of LUTS was associated with lower odds of employment (OR = 0.13, p = 0.026). Disability severity, fatigue, depressive symptoms, demographic characteristics, and disease duration did not contribute in the final model (p > 0.05). Conclusions: Information processing speed and urinary dysfunction were associated with employment status in pwMS. Within the present sample, the multivariable model including these variables showed good discrimination between employed and non-employed participants. The findings should be interpreted as exploratory, and they require further confirmation in independent cohorts before any potential application is considered. Full article

Background and Objectives: Knee osteoarthritis (OA) is a leading cause of pain and disability, with radiographic severity influenced by age, biomechanical alignment, and structural joint features. Data describing the association between common radiographic parameters and OA severity in Eastern European clinical populations remain limited. This study aimed to evaluate the associations between radiographic OA severity and coronal alignment, patellar height, and chondrocalcinosis in a Romanian clinical cohort. Materials and Methods: This single-center cross-sectional study included adult patients undergoing knee radiography for knee-related symptoms and/or functional assessment at a rehabilitation hospital between 2023 and 2025. Radiographs were obtained in the supine, non-weight-bearing position and included anteroposterior and lateral views. OA severity was graded using the Kellgren–Lawrence (KL) classification. Coronal alignment was assessed using the femorotibial angle, patellar height using the Insall–Salvati ratio (ISR), and chondrocalcinosis was recorded as present or absent. Associations between radiographic parameters and KL grade were analyzed using non-parametric statistics. Receiver operating characteristic (ROC) analyses were performed for exploratory assessment of limited separation between distributions. Results: Moderate to severe OA (KL ≥ 3) was present in 49% of patients. KL grade showed a moderate positive correlation with age (r = 0.50, p < 0.001) and differed significantly across coronal alignment categories (p < 0.001). Varus/valgus and pathological alignment classifications demonstrated moderate sensitivity (0.69–0.85) and variable specificity (0.52–0.85) for higher KL grades. ROC analyses of continuous alignment and ISR measures yielded area under the curve values ranging from approximately 0.65 to 0.68, indicating limited separation between distributions. Radiographically detected chondrocalcinosis was present in 5.3% of patients and showed no significant association with OA severity, and neither did patellar height. Conclusions: In this single-center Romanian clinical cohort, radiographic OA severity was associated with coronal plane alignment but not with patellar height or chondrocalcinosis. Alignment measures demonstrated limited discriminative ability and should be interpreted as complementary rather than diagnostic indicators of OA severity. These findings provide descriptive radiographic data from an Eastern European clinical population and highlight the need for longitudinal and population-based studies incorporating mechanical axis assessment and functional outcomes. Full article

The early identification of patients with highly active multiple sclerosis (HAMS) is crucial for guiding therapeutic decisions and initiating high-efficacy treatment strategies. This study aimed to characterize peripheral immune profiles that can distinguish between patients who are candidates for intensive therapy at disease onset and in later stages. Using spectral flow cytometry, we identified distinct immune signatures to differentiate early-stage patients from those with refractory, long-standing disease. In newly diagnosed individuals, decreased herpesvirus entry mediator (HVEM) expression on effector T helper (Th) cells distinguished HAMS from non HAMS cases. In contrast, patients with therapeutic resistance exhibited reduced CD28 expression on naïve regulatory and CD8⁺ T cells. Disability progression was associated with elevated HVEM on classical monocytes, decreased CD70 on CD56^bright natural killer cells (NK), and lower programmed cell death protein 1 (PD-1) expression on memory Th cells. Notably, CD28 expression on terminal effector CD8⁺ T cells and HVEM levels on plasmablasts emerged as strong predictors of progression independent of relapse activity, while higher PD-1 memory Th cell frequencies predicted clinical stability. This study identifies two panels of immune biomarkers: one distinguishing candidates for early high-efficacy intervention, and another defining patients with refractory disease. The immunological landscape of HAMS evolves across disease stages. In addition, we defined progression-associated markers detectable at the outset of follow-up, enabling the timely recognition of patients at heightened risk of disability accumulation, discriminating between neurodegeneration-driven and inflammation-driven mechanisms of progression. Full article

Introduction: Stroke remains the second leading cause of death worldwide and a major cause of long-term disability. Approximately 87% of strokes are ischemic, and 30% of these are large vessel occlusions (LVOs). Early recognition of LVOs and rapid transport to a comprehensive stroke center (CSC) capable of MT are critical to improving outcomes. Accurately predicting LVOs in prehospital settings remains chall29enging. Several triage scales have been developed to aid early detection, but their diagnostic accuracy varies across studies. This study compares the performance of commonly used prehospital LVO scales by pooling published data to identify which tools best support emergency medical services (EMS) in optimizing triage and improving outcomes. Methods: A systematic search, following the Cochrane Library, of PubMed, Scopus, and Web of Science identified studies evaluating prehospital LVO triage scales using standardized search terms. Diagnostic accuracy measurements were extracted, and a pooled analysis was completed to compare scores. Results: From 743 unique articles, 15 studies evaluating prehospital large vessel occlusion (LVO) triage scales were included. Pooled log diagnostic odds ratios (DORs) indicated that RACE demonstrated the highest discriminative performance (2.367 [1.943–2.792]), followed by LAMS (2.228 [1.987–2.470]). The lowest scores were from the PASS (1.992 [1.758–2.227]) and C-STAT (1.886 [1.652–2.119]) scales. Conclusions: Among prehospital triage scales, RACE demonstrated the highest accuracy for LVO detection, followed by LAMS and G-FAST. Variation in scores may indicate inconsistency in performing the tests or the complexity of the questions. These findings support a personalized approach to choosing an LVO identification scale based on the resources available. Full article