Strategies to reduce delays in delivering mechanical thrombectomy for acute ischaemic stroke - an umbrella review.

Background: Mechanical thrombectomy is a time-sensitive treatment, with rapid initiation and reduced delays being associated with better patient outcomes. Several systematic reviews reported on various interventions to address delays. Hence, we performed an umbrella review of systematic reviews to summarise the current evidence. Methods: Medline, Embase, Cochrane Library and JBI were searched for published systematic reviews. Systematic Reviews that detailed outcomes related to time-to-thrombectomy or functional independence were included. Methodological quality was assessed using the JBI critical appraisal tool by two independent reviewers. Results: A total of 17 systematic reviews were included in the review. These were all assessed as high-quality reviews. A total of 13 reviews reported on functional outcomes, and 12 reviews reported on time-to-thrombectomy outcomes. Various interventions were identified as beneficial. The most frequently reported beneficial interventions that improved functional and time-related outcomes included: direct-to-angio-suite and using a mothership model (compared to drip-and-ship). Only a few studies investigated other strategies including other pre-hospital and teamwork strategies. Conclusion: Overall, there were various strategies that can be used to reduce delays in the delivery of mechanical thrombectomy with different effectiveness. The mothership model appears to be superior to the drip-and-ship model in reducing delays and improving functional outcomes. Additionally, the direct-to-angiosuite approach appears to be beneficial, but further research is required for broader implementation of this approach and to determine which groups of patients would benefit the most.

Neural dynamics of delayed feedback in robot teleoperation: insights from fNIRS analysis.

Introduction: As robot teleoperation increasingly becomes integral in executing tasks in distant, hazardous, or inaccessible environments, operational delays remain a significant obstacle. These delays, inherent in signal transmission and processing, adversely affect operator performance, particularly in tasks requiring precision and timeliness. While current research has made strides in mitigating these delays through advanced control strategies and training methods, a crucial gap persists in understanding the neurofunctional impacts of these delays and the efficacy of countermeasures from a cognitive perspective. Methods: This study addresses the gap by leveraging functional Near-Infrared Spectroscopy (fNIRS) to examine the neurofunctional implications of simulated haptic feedback on cognitive activity and motor coordination under delayed conditions. In a human-subject experiment (N = 41), sensory feedback was manipulated to observe its influences on various brain regions of interest (ROIs) during teleoperation tasks. The fNIRS data provided a detailed assessment of cerebral activity, particularly in ROIs implicated in time perception and the execution of precise movements. Results: Our results reveal that the anchoring condition, which provided immediate simulated haptic feedback with a delayed visual cue, significantly optimized neural functions related to time perception and motor coordination. This condition also improved motor performance compared to the asynchronous condition, where visual and haptic feedback were misaligned. Discussion: These findings provide empirical evidence about the neurofunctional basis of the enhanced motor performance with simulated synthetic force feedback in the presence of teleoperation delays. The study highlights the potential for immediate haptic feedback to mitigate the adverse effects of operational delays, thereby improving the efficacy of teleoperation in critical applications.

Early cognitive assessment in premature infants: the discriminatory value of eye-tracking vs. Bayley Scales.

Introduction: The testing of visuocognitive development in preterm infants shows strong interactions between perinatal characteristics and cognition, learning and overall neurodevelopment evolution. The assessment of anticipatory gaze data of object-location bindings via eye-tracking can predict the neurodevelopment of preterm infants at the age of 3 years; little is known, however, about the early cognitive function and its assessment methods during the first year of life. Methods: The current study presents data from a novel assessment tool, a Delayed Match Retrieval (DMR) paradigm via eye-tracking was used to measure visual working memory (VWM) and attention skills. The eye-tracking task that was designed to measure infants' ability to actively localize objects and to make online predictions of object-location bindings. 63 infants participated in the study, 39 preterm infants and 24 healthy full term infants - at a corrected age of 8-9 months for premature infants and similar chronological age for full term infants. Infants were also administered the Bayley Scales of Infant and Toddler Development. Results: The analysis of the Bayley scores showed no significant difference between the two groups while the eye-tracking data showed a significant group effect on all measurements. Moreover, preterm infants' VWM performance was significantly lower than full term's. Birth weight affected the gaze time on all Areas Of Interest (AOIs), overall VWM performance and the scores at the Cognitive Bayley subscale. Furthermore, preterm infants with fetal growth restriction (FGR) showed significant performance effects in the eye-tracking measurements but not on their Bayley scores verifying the high discriminatory value of the eye gaze data. Conclusion: Visual working memory and attention as measured via eye-tracking is a non-intrusive, painless, short duration procedure (approx. 4-min) was found to be a significant tool for identifying prematurity and FGR effects on the development of cognition during the first year of life. Bayley Scales alone may not pick up these deficits. Identifying tools for early neurodevelopmental assessments and cognitive function is important in order to enable earlier support and intervention in the vulnerable group of premature infants, given the associations between foundational executive functional skills and later cognitive and academic ability.

Prevalence and socio-economic determinants of growth and developmental delays among Iranian children aged under five years: A cross sectional study.

BACKGROUND: The main cause of growth and development delays remains unknown, but it can occur as an interaction between genetic, environmental, and socio-economic factors. OBJECTIVE: The aim of the study was to investigate the prevalence and social determinants of growth and developmental delays among children aged under five years in Qazvin, Iran. METHODS: A cross-sectional study was conducted between January 2019 to December 2020 with participation of 1800 mothers with children aged 4-60 months who were referred to comprehensive health centers in Qazvin city, Iran. Structural and intermediate social determinants of health were assessed including: parents and children socio-demographic characteristics, families' living and economic status, parents' behavioral factors, household food security, mother's general health, and perceived social support. Children's growth was assessed based on their anthropometric assessment and their development was assessed using their age-specific Ages and Stages Questionnaire. Data were analyzed using univariable and multivariable logistic regression models using SPSS software version 24 and Stata version 14. RESULTS: The prevalence of developmental problems in each domain were 4.28% for personal and social delay, 5.72% for gross motor delay, 6.5% for communication delay, 6.72% for fine motor delay, and 8% for problem-solving delay. The prevalence of weight growth delays was 13.56% and height growth delays was 4.66%. Communication, gross motor, and problem-solving delays were higher among children whose fathers' smoked cigarettes. Fine motor delays were lower among mothers with education status of high school diploma and university degree vs. the under diploma group. Personal and social delay was significantly higher among families with fair economic status and lower among children when their fathers were employed (vs. unemployed). Weight and height growth delays were higher among mothers who had experienced pregnancy complications and household food insecure families, respectively. CONCLUSION: There are different predictors of growth and developmental delay problems among Iranian children aged under five years including fathers' smoking, families' economic status, and household food insecurity as well as history of mothers' pregnancy complications. The present study's findings can be used to screen for at-risk of growth and developmental delays among children and could help in designing and implementation of timely interventions.

Determining diagnostic delays in Romanian multiple myeloma patients using the Aarhus statement.

Introduction: Multiple Myeloma (MM) is classified as one of the most challenging cancers to diagnose, and the hematological malignancy is associated with prolonged diagnostic delays. Although major steps have been made in the improvement of MM patient diagnosis and care, Romanian patients still face long diagnostic delays. Thus far, there have been no studies evaluating the factors associated with diagnostic errors in Romanian MM patients. Methods: Using the Aarhus statement, we prospectively determined the diagnostic intervals for 103 patients diagnosed with MM at Fundeni Clinical Institute, between January 2022 and March 2023. Results: Our data revealed that the main diagnostic delays are experienced during the "patient interval." Patients spend a median of 162 days from the first symptom onset until the first doctor appointment. Bone pain is the most frequently reported symptom by patients (78.64%), but it leads to a medical-seeking behavior in only half of the reporting patients and results in a median delay of 191 days. The changes in routine lab tests are considered most worrisome for patients, leading to a medical appointment after a median of only 25 days. The median primary care interval was 70 days, with patients having an average of 3.7 medical visits until MM suspicion was first raised. The secondary care interval did not contribute to the diagnostic delays. Discussion: Overall, the median diagnostic path for MM patients in Romania was more than 6 months, leading to a higher number of emergency presentations and myeloma-related end-organ damage.

Electroencephalographic Patterns on Follow-Up Visits in Extremely Premature Infants With Periventricular Leukomalacia: An Observational Study.

BACKGROUND: Periventricular leukomalacia (PVL) is a common brain injury in premature infants, and epilepsy remains a significant complication. One concerning electroencephalographic (EEG) pattern found is developmental and/or epileptic encephalopathy with spike-and-wave activation in sleep (DEE-SWAS). This pattern is associated with persistent neuropsychological and motor deficits, even without a diagnosis of epilepsy. The purpose of this study is to identify the relationships between various PVL grades and EEG patterns in this population on follow-up visits, especially the occurrence of DEE-SWAS pattern on EEG. METHODS: This is a retrospective study of <36 weeks gestational age newborns who were followed in the neurodevelopmental clinic at Corewell Health East/Corewell Health Children's Hospital in Royal Oak, Michigan, between 2020 and 2022. Patients' demographics along with prematurity complications, diagnostic head ultrasound (HUS), and EEG studies were reviewed and graded. EEG studies are usually ordered when seizures were suspected. RESULTS: A total of 155 newborns met the inclusion criteria. Twenty-six patients had PVL. Nine patients had grade 2 to 3 PVL based on HUS review. EEG was performed on 15 patients with PVL at a mean age of 22 months. More severe PVL grades were significantly associated with worse EEG patterns (P = 0.005). Five patients had DEE-SWAS pattern on EEG, all of whom had grade 2 or 3 PVL. Epilepsy was eventually diagnosed in three infants with PVL. CONCLUSIONS: EEG can help identify important abnormal electrographic patterns in premature infants with PVL early in life; this might give a window of opportunity to intervene early and improve long-term developmental outcomes in this population.

Fully distributed consensus of discrete-time linear multi-agent systems with large input and communication delays.

This paper investigates the consensus problem for discrete-time leader-following multi-agent systems subject to large time delays. Building upon two assumptions, a novel fully distributed protocol is devised by utilizing a normalized weighting matrix, depending solely on the relative output measurement. It is shown that, for arbitrarily large yet bounded input and communication delays that are constant and exactly known, the consensus problem can be effectively addressed by both the proposed protocol and its truncated version. Assuming further that followers incorporate solely input delays, then the permitted delays can be time-varying and different. The proposed protocols do not rely on global information of the directed communication topology, thus ensuring robustness against alterations in the communication topology. A numerical example is employed to validate the effectiveness of the suggested approach.

Phase-Based Care in Community Mental Health: A Cost-Effective Innovation Using Algorithms, Rating Scales and Treatment Teams for Depression Management.

This retrospective, observational report describes an innovative quality improvement process, Phase-based Care (PBC), that eliminated wait times and achieved positive clinical outcomes in a community mental health center's (CMHC) mood disorder clinic without adding staff. PBC accomplishes this by eliminating the ingrained cultural practice of routinely scheduling stable patients at rote intervals of 1-3 months, regardless of clinical need or medical necessity. Based on four organizational transformations and using mathematical algorithms developed for this process, PBC re-allocates therapy and medical resources away from routinely scheduled appointments and front-loads those resources to patients in an acute phase of illness. To maintain wellness for patients in recovery, lower frequency and intensity approaches are used. This report describes the development of the PBC methodology focusing on the Rapid Recovery Clinic (RRC) comprised of 182 patients with a primary diagnosis of a mood disorder, the largest of the 14 PBC clinics created. Over an 18-month period, wait times were reduced from several months to less than one week and recovery rates, meaning no longer in an acute phase, were 63% and 78% at weeks 6 and 12, respectively for patients who engaged in the program.

The effect of treatment package time on locally advanced oral cavity cancer outcomes.

OBJECTIVE(S): To assess the influence of treatment package time (TPT) on overall survival (OS) and event free survival (EFS) in oral cavity cancer (OCC) patients treated with surgery and adjuvant radiation therapy (RT) with or without concurrent chemotherapy (CHT). MATERIALS/METHODS: 354 adult OCC patients treated at a single, high-volume center between 2012-2022 with various pathologic risk features were included. TPT was defined as days from surgery to RT completion. Kaplan-Meier estimates, log-rank p-values, univariable (UVA) and multivariable (MVA) Cox regression analyses were performed to determine the impact of TPT on OS and EFS, and the optimal TPT cutoff. RESULTS: The optimal TPT cutoff was 105 days. TPT < 105 days was significantly associated with improved OS and EFS (p = 0.002 and p = 0.027, respectively) compared to TPT ≥ 105 days. On UVA, factors significantly associated with OS were TPT < 105 days, former/current smoker status, pathologic stage IV, positive perineural invasion (PNI), and extranodal extension (ENE) (all p < 0.05). On MVA for OS, TPT < 105 days, former/current smoker status, pathologic stage IV, and positive PNI (all p < 0.05) remained significant. Factors significantly associated with EFS on UVA were TPT < 105 days, former/current smoker status, pathologic stage IV, positive PNI or ENE, and concurrent CHT (all p < 0.05). On MVA, TPT < 105 days, pathologic stage IV, and positive PNI (all p < 0.05) remained significant. CONCLUSIONS: In a large, homogenous cohort of OCCs, optimal TPT was <105 days, with TPT ≥ 105 days significantly associated with worse OS and EFS. Multidisciplinary coordination should analyze factors potentially contributing to treatment delay.

Living with axial spondyloarthritis: a cross-sectional survey of patient knowledge and perceptions.

Diagnosis and effective treatment of axial spondyloarthritis (AxSpA) are often delayed due to inadequate awareness and poor patient-physician communication. Some AxSpA patients fail to maintain an active lifestyle by exercising regularly, further worsening their disease management. The evolving concept of patient-centred care necessitates better understanding of patient awareness and their needs. We aimed to survey AxSpA patients to reflect on healthcare planning and management perspectives. Our self-administered questionnaire focused on perceptions of AxSpA diagnosis and management, particularly exploring issues of physical activity and active lifestyle. Satisfaction with AxSpA medical care and its accessibility, diagnostic delays, patient-physician communication, and support for disease management were also explored. This offline survey was arranged at the Department of Rheumatology, Immunology, and Internal Medicine of Jagiellonian University Medical College and Krakow University Hospital. We surveyed patients with AxSpA attending outpatient clinics between December 1st, 2023 and April 22nd, 2024. The questionnaire included questions on types of physical activities, barriers to exercising, satisfaction with medical care, patient-physician interactions, diagnostic delays, and use of teleconsultations. A total of 117 patients with AxSpA were enrolled (mean age 41.62 years). The majority (n = 93, 79.5%) were employed. There was a male predominance (69, 59%). The average diagnostic delay was 5.5 years. Notably, 104 (88.9%) responders perceived physical activity as a factor influencing their disease course. However, only 32 (27.35%) managed to exercise regularly (≥ 30 min, 2-3 times a week). The majority (70, 59.83%) were irregularly engaged in some form of physical activity, with 15 (12.8%) not exercising at all, and nearly half (48%) reported at least one barrier to maintaining a physically active lifestyle. Pain (32, 27.35%), fatigue (27, 23.08%), lack of motivation (17, 14.53%), and lack of time (12, 10.26%) were noted as barriers to exercising. The respondents preferred to exercise at home. The survey identified critical areas where patient dissatisfaction or uncertainty were notably prevalent: 38 (32.5%) were uncertain and 35 (30%) were dissatisfied with rehabilitation access. For spa therapy, 63 (53.85%) reported uncertainty and 23 (19.7%) expressed dissatisfaction. Only 48 (41%) were treated by a rehabilitation specialist last year. Only 23% of AxSpA patients took part in teleconsultations last year, and 65% preferred in-person visits. While AxSpA patients recognize the importance of physical activity, significant barriers exist to engaging them regularly in exercising. Addressing these barriers through personalized, motivational, and educational strategies could improve patient outcomes. Improving patient satisfaction with healthcare services, particularly in areas of rehabilitation and physician-patient communication, is crucial for improving the overall care of AxSpA patients.

Reporting delays: A widely neglected impact factor in COVID-19 forecasts.

Epidemic forecasts are only as good as the accuracy of epidemic measurements. Is epidemic data, particularly COVID-19 epidemic data, clean, and devoid of noise? The complexity and variability inherent in data collection and reporting suggest otherwise. While we cannot evaluate the integrity of the COVID-19 epidemic data in a holistic fashion, we can assess the data for the presence of reporting delays. In our work, through the analysis of the first COVID-19 wave, we find substantial reporting delays in the published epidemic data. Motivated by the desire to enhance epidemic forecasts, we develop a statistical framework to detect, uncover, and remove reporting delays in the infectious, recovered, and deceased epidemic time series. Using our framework, we expose and analyze reporting delays in eight regions significantly affected by the first COVID-19 wave. Further, we demonstrate that removing reporting delays from epidemic data by using our statistical framework may decrease the error in epidemic forecasts. While our statistical framework can be used in combination with any epidemic forecast method that intakes infectious, recovered, and deceased data, to make a basic assessment, we employed the classical SIRD epidemic model. Our results indicate that the removal of reporting delays from the epidemic data may decrease the forecast error by up to 50%. We anticipate that our framework will be indispensable in the analysis of novel COVID-19 strains and other existing or novel infectious diseases.

Delaying high school start times impacts depressed mood among students: evidence from a natural experiment.

PURPOSE: Delaying high school start times prolongs weekday sleep. However, it is not clear if longer sleep reduces depression symptoms and if the impact of such policy change is the same across groups of adolescents. METHODS: We examined how gains in weekday sleep impact depression symptoms in 2,134 high school students (mean age 15.16 ± 0.35 years) from the Minneapolis metropolitan area. Leveraging a natural experiment design, we used the policy change to delay school start times as an instrument to estimate the effect of a sustained gain in weekday sleep on repeatedly measured Kandel-Davies depression symptoms. We also evaluated whether allocating the policy change to subgroups with expected benefit could improve the impact of the policy. RESULTS: Over 2 years, a sustained half-hour gain in weekday sleep expected as a result of the policy change to delay start times decreased depression symptoms by 0.78 points, 95%CI (-1.32,-0.28), or 15.6% of a standard deviation. The benefit was driven by a decrease in fatigue and sleep-related symptoms. While symptoms of low mood, hopelessness, and worry were not affected by the policy on average, older students with greater daily screen use and higher BMI experienced greater improvements in mood symptoms than would be expected on average, signaling heterogeneity. Nevertheless, universal implementation outperformed prescriptive strategies. CONCLUSION: High school start time delays are likely to universally decrease fatigue and overall depression symptoms in adolescents. Students who benefit most with respect to mood are older, spend more time on screens and have higher BMI.

Bifurcation analysis in a modified Leslie-Gower predator-prey model with fear effect and multiple delays.

In this paper, we explored a modified Leslie-Gower predator-prey model incorporating a fear effect and multiple delays. We analyzed the existence and local stability of each potential equilibrium. Furthermore, we investigated the presence of periodic solutions via Hopf bifurcation bifurcated from the positive equilibrium with respect to both delays. By utilizing the normal form theory and the center manifold theorem, we investigated the direction and stability of these periodic solutions. Our theoretical findings were validated through numerical simulations, which demonstrated that the fear delay could trigger a stability shift at the positive equilibrium. Additionally, we observed that an increase in fear intensity or the presence of substitute prey reinforces the stability of the positive equilibrium.

Finite-time passivity of neutral-type complex-valued neural networks with time-varying delays.

In this work, we investigated the finite-time passivity problem of neutral-type complex-valued neural networks with time-varying delays. On the basis of the Lyapunov functional, Wirtinger-type inequality technique, and linear matrix inequalities (LMIs) approach, new sufficient conditions were derived to ensure the finite-time boundedness (FTB) and finite-time passivity (FTP) of the concerned network model. At last, two numerical examples with simulations were presented to demonstrate the validity of our criteria.

Impact of the COVID-19 Pandemic on Thyroid Cancer Surgery.

The COVID-19 pandemic caused major disruptions to healthcare services in 2020, delaying cancer diagnosis and treatment. While early-stage thyroid cancer often progresses slowly, it is crucial to determine whether treatment delays associated with the pandemic have impacted the clinical presentation and management of advanced-stage thyroid cancer. The purpose of our study was to determine the impact of the early COVID-19 pandemic on thyroid cancer presentation and treatment times. Utilizing the National Cancer Database, chi-squared tests and regression analyses were performed to compare patient demographic and clinical characteristics over time for 56,011 patients diagnosed with primary thyroid cancer who were treated at the Commission on Cancer-accredited sites in 2019 and 2020. We found that thyroid cancer diagnoses decreased between 2019 and 2020, with the biggest drop among patients with cT1 disease relative to other T stages. We also found that patients diagnosed with thyroid cancer in 2020 had similar treatment times to patients diagnosed in 2019, as measured by both the time between diagnosis and start of treatment and the time between surgery and start of radioactive iodine therapy. Overall, our study suggests that resources during the pandemic were allocated to patients with advanced thyroid disease, despite a decrease in diagnoses.

Exploiting Signal Propagation Delays to Match Task Memory Requirements in Reservoir Computing.

Recurrent neural networks (RNNs) transmit information over time through recurrent connections. In contrast, biological neural networks use many other temporal processing mechanisms. One of these mechanisms is the inter-neuron delays caused by varying axon properties. Recently, this feature was implemented in echo state networks (ESNs), a type of RNN, by assigning spatial locations to neurons and introducing distance-dependent inter-neuron delays. These delays were shown to significantly improve ESN task performance. However, thus far, it is still unclear why distance-based delay networks (DDNs) perform better than ESNs. In this paper, we show that by optimizing inter-node delays, the memory capacity of the network matches the memory requirements of the task. As such, networks concentrate their memory capabilities to the points in the past which contain the most information for the task at hand. Moreover, we show that DDNs have a greater total linear memory capacity, with the same amount of non-linear processing power.

Sliding mode control for uncertain fractional-order reaction-diffusion memristor neural networks with time delays.

This paper investigates a sliding mode control method for a class of uncertain delayed fractional-order reaction-diffusion memristor neural networks. Different from most existing literature on sliding mode control for fractional-order reaction-diffusion systems, this study constructs a linear sliding mode switching function and designs the corresponding sliding mode control law. The sufficient theory for the globally asymptotic stability of the sliding mode dynamics are provided, and it is proven that the sliding mode surface is finite-time reachable under the proposed control law, with an estimate of the maximum reaching time. Finally, a numerical test is presented to validate the effectiveness of the theoretical analysis.

Insights into coeliac disease diagnosis: a 2021-2023 overview of diagnostic approach and delays in children in Slovenia.

INTRODUCTION: Over the past decade, the European Society for Paediatric Gastroenterology, Hepatology and Nutrition (ESPGHAN) proposed the option of diagnosing coeliac disease (CD) in children without duodenal biopsy. The aim of our study was to assess the diagnostic approach in newly diagnosed children with CD in Slovenia. METHODS: In this prospective study, Slovenian paediatric gastroenterologists were invited to provide medical records of children under 19 years diagnosed with CD from March 2021 to October 2023. The analysis focused on tissue transglutaminase antibody (TGA) levels at diagnosis, diagnostic approach, adherence to ESPGHAN CD guidelines and diagnostic delays. RESULTS: Data from 160 newly diagnosed CD patients (61.9% female; median age 8 years; 16.9% asymptomatic) were available for the analysis. No-biopsy approach was used in 65% (N = 104) of children and the majority (N = 101) fulfilled all the criteria for the no-biopsy approach. Of 56 children diagnosed using duodenal biopsy, a further 10 (17.8%) would have also been eligible for the no-biopsy approach based on the very high levels of TGA. Median diagnostic delay from first symptoms to confirmation of diagnosis was 6 months (min 0 months, max 87 months). Use of the no-biopsy approach has risen significantly since 2016 (37.8% vs. 65.0%; p = 0.001) and diagnostic delays have shortened (6 vs. 7 months; p < 0.05). CONCLUSION: This prospective study highlights the frequent use of a no-biopsy approach for diagnosing CD in children in Slovenia, showing large adherence to ESPGHAN guidelines. Also, diagnostic delays have shortened over recent years, likely due to various awareness-raising projects on CD conducted during this period.

The critical time period for administering antivenom: golden hours and missed opportunities.

INTRODUCTION: Antivenom is widely accepted as an effective treatment for snake envenomation. This is despite very limited evidence supporting clinical effectiveness for major envenomation syndromes, and is mainly based on pre-clinical studies and observational studies without control groups. EFFECTIVENESS OF EARLY ANTIVENOM: Although antivenom exhibits efficacy by binding to snake toxins and preventing toxic injury in animals if pre-mixed with venom, this efficacy does not always translate to clinical effectiveness. There are many irreversible venom mediated effects that antivenom cannot neutralise or reverse, such as pre-synaptic neurotoxicity and myotoxicity. Fortunately, early antivenom appears to prevent some of these. PRACTICALITIES OF ADMINISTERING ANTIVENOM EARLY: With good evidence that early antivenom prevents some envenomation syndromes, the time between bite and antivenom administration must be reduced. This requires improving the initial assessment of snakebite patients, and improving early decision making based on clinical effects. CONCLUSION: Until there are improved, simplified, easy to use, rapid and inexpensive tests, whether available in the laboratory or preferably at the bedside that identify systemic envenomation, the key to early antivenom administration is early assessment and decision making based on systemic symptoms, including nausea, vomiting, headache and abdominal pain.

Mind the Gap: Executive Function Is Associated with the Discrepancy Between Cognitive and Adaptive Functioning in Autistic Children Without Cognitive Delay.

Adaptive functioning is central to autistic individuals' independence and well-being. However, autism spectrum disorder (ASD) is associated with poor adaptive functioning, even in the absence of cognitive delays or deficits. This study examined how age and executive function associate with adaptive functioning-particularly the gap between cognitive and adaptive functioning. We addressed our research questions separately for a school-age (N = 101 ages 7-12) cohort and a preschool (N = 48 ages 2 and 4) cohort of autistic children without cognitive delays. Both cohorts of parents reported on their children's adaptive and executive functioning skills. The difference between adaptive and cognitive skills was computed for each participant. For each cohort, we evaluated whether adaptive skills decline with age. Next, we measured, in each cohort, whether children's executive function corresponded with this gap between their adaptive and cognitive skills. Adaptive functioning did not decline relative to cognitive ability in the younger cohort, but the gap was present in the school-age cohort. Yet, reduced executive function consistently corresponded with a greater cognitive-adaptive gap in socialization domains for both preschool and school-age children. Targeting EF, specifically emotional control, during preschool years may support both adaptive functioning and social connectedness for autistic children without cognitive delays.