Noise facilitates transcriptional control under dynamic inputs.

Cells must respond sensitively to time-varying inputs in complex signaling environments. To understand how signaling networks process dynamic inputs into gene expression outputs and the role of noise in cellular information processing, we studied the immune pathway NF-κB under periodic cytokine inputs using microfluidic single-cell measurements and stochastic modeling. We find that NF-κB dynamics in fibroblasts synchronize with oscillating TNF signal and become entrained, leading to significantly increased NF-κB oscillation amplitude and mRNA output compared to non-entrained response. Simulations show that intrinsic biochemical noise in individual cells improves NF-κB oscillation and entrainment, whereas cell-to-cell variability in NF-κB natural frequency creates population robustness, together enabling entrainment over a wider range of dynamic inputs. This wide range is confirmed by experiments where entrained cells were measured under all input periods. These results indicate that synergy between oscillation and noise allows cells to achieve efficient gene expression in dynamically changing signaling environments.

Relationship of Heterologous Virus Responses and Outcomes in Hospitalized COVID-19 Patients.

The clinical trajectory of COVID-19 may be influenced by previous responses to heterologous viruses. We examined the relationship of Abs against different viruses to clinical trajectory groups from the National Institutes of Health IMPACC (Immunophenotyping Assessment in a COVID-19 Cohort) study of hospitalized COVID-19 patients. Whereas initial Ab titers to SARS-CoV-2 tended to be higher with increasing severity (excluding fatal disease), those to seasonal coronaviruses trended in the opposite direction. Initial Ab titers to influenza and parainfluenza viruses also tended to be lower with increasing severity. However, no significant relationship was observed for Abs to other viruses, including measles, CMV, EBV, and respiratory syncytial virus. We hypothesize that some individuals may produce lower or less durable Ab responses to respiratory viruses generally (reflected in lower baseline titers in our study), and that this may carry over into poorer outcomes for COVID-19 (despite high initial SARS-CoV-2 titers). We further looked at longitudinal changes in Ab responses to heterologous viruses, but found little change during the course of acute COVID-19 infection. We saw significant trends with age for Ab levels to many of these viruses, but no difference in longitudinal SARS-CoV-2 titers for those with high versus low seasonal coronavirus titers. We detected no difference in longitudinal SARS-CoV-2 titers for CMV seropositive versus seronegative patients, although there was an overrepresentation of CMV seropositives among the IMPACC cohort, compared with expected frequencies in the United States population. Our results both reinforce findings from other studies and suggest (to our knowledge) new relationships between the response to SARS-CoV-2 and Abs to heterologous viruses.

Robust identification of temporal biomarkers in longitudinal omics studies.

MOTIVATION: Longitudinal studies increasingly collect rich 'omics' data sampled frequently over time and across large cohorts to capture dynamic health fluctuations and disease transitions. However, the generation of longitudinal omics data has preceded the development of analysis tools that can efficiently extract insights from such data. In particular, there is a need for statistical frameworks that can identify not only which omics features are differentially regulated between groups but also over what time intervals. Additionally, longitudinal omics data may have inconsistencies, including non-uniform sampling intervals, missing data points, subject dropout and differing numbers of samples per subject. RESULTS: In this work, we developed OmicsLonDA, a statistical method that provides robust identification of time intervals of temporal omics biomarkers. OmicsLonDA is based on a semi-parametric approach, in which we use smoothing splines to model longitudinal data and infer significant time intervals of omics features based on an empirical distribution constructed through a permutation procedure. We benchmarked OmicsLonDA on five simulated datasets with diverse temporal patterns, and the method showed specificity greater than 0.99 and sensitivity greater than 0.87. Applying OmicsLonDA to the iPOP cohort revealed temporal patterns of genes, proteins, metabolites and microbes that are differentially regulated in male versus female subjects following a respiratory infection. In addition, we applied OmicsLonDA to a longitudinal multi-omics dataset of pregnant women with and without preeclampsia, and OmicsLonDA identified potential lipid markers that are temporally significantly different between the two groups. AVAILABILITY AND IMPLEMENTATION: We provide an open-source R package (https://bioconductor.org/packages/OmicsLonDA), to enable widespread use. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Interaction of admission platelet count with current medications and the risk for chronic subdural recurrence.

OBJECTIVE: Chronic subdural hematoma (cSDH) has a reported 10%-24% rate of recurrence after surgery, and prognostic models for recurrence have produced equivocal results. The objective of this study was to leverage a data mining algorithm, chi-square automatic interaction detection (CHAID), which can incorporate continuous, nominal, and binary data into a decision tree, to identify the most robust predictors of repeat surgery for cSDH patients. METHODS: This was a retrospective cohort study of all patients with SDH from two level 1 trauma centers at a single institution. All patients underwent cSDH evacuation performed by 15 neurosurgeons between 2011 and 2020. The primary outcome was the rate of repeat surgery for recurrent cSDH following the initial evacuation. The authors used CHAID to identify relevant predictors of repeat surgery, including age, sex, comorbidities, postsurgical complications, platelet count prior to the first procedure, midline shift prior to the first procedure, hematoma volume, and preoperative use of anticoagulants, antiplatelets, or statins. RESULTS: Sixty (13.8%) of 435 study-eligible patients (average age 74.0 years) had a cSDH recurrence. These patients had 2.0 times greater odds of having used anticoagulants. The final CHAID model had an overall accuracy of 87.4% and an area under the curve of 0.76. According to the model, the predictor with the strongest association with cSDH recurrence was admission platelet count. Approximately 26% of patients (n = 23/87) with an admission platelet count < 157 × 109/L had a cSDH recurrence, whereas none of the 44 patients with admission platelets > 313 × 109/L had a recurrence. Approximately 17% of patients in the 157-313 × 109/L platelet group who had used preoperative statins required a second procedure, which was associated with a 2.3 times increased risk for repeat surgery compared to those who had not used statins preoperatively. Among those who had not used preoperative statins, a platelet count ≤ 179 × 109/L on admission for the first procedure was the strongest differentiator for a second surgery (n = 5/22 [23%]), which increased the risk of recurrence by 4.5 times. Among the patients using preoperative statins, the use of anticoagulants was the strongest differentiator for requiring repeat surgery (n = 11/33 [33%]). CONCLUSIONS: The described model identified platelet count on admission as the most important predictor of repeat cSDH surgery, followed by preoperative statin use and anticoagulant use. Critical cutoffs for platelet count were identified, which future studies should evaluate to determine if they are modifiable or reflective of underlying disease states.

Effects of hyperoxemia on aneurysmal subarachnoid hemorrhage outcomes: a systematic review and meta-analysis.

OBJECTIVE: In recent years, hyperoxemia in the intensive care unit has received attention as potentially contributing to negative outcomes in the setting of cardiac arrest, ischemic stroke, and traumatic brain injury. The authors sought to evaluate whether hyperoxemia contributes to worse outcomes in the setting of aneurysmal subarachnoid hemorrhage (aSAH) and to summarize suggested pathophysiological mechanisms. METHODS: A systematic literature review was conducted without date restrictions on the PubMed and Web of Science databases on September 15, 2021. All studies that assessed the relationship between patients treated for aSAH and hyperoxemia were eligible independent of the criteria used to define hyperoxemia. All nonclinical studies and studies that did not report outcome data specific to patients with aSAH were excluded. A total of 102 records were found and screened, resulting in assessment of 10 full-text studies, of which 7 met eligibility criteria. Risk of bias was assessed using the Downs and Black checklist. A meta-analysis on the pooled 2602 patients was performed, and forest plots were constructed. Additionally, a review of the literature was performed to summarize available data regarding the pathophysiology of hyperoxemia. RESULTS: The included studies demonstrated an association between hyperoxemia and increased morbidity and mortality following aSAH. The criteria used to determine hyperoxemia varied among studies. Pooling of univariate data showed hyperoxemia to be associated with poor neurological outcome (OR 2.26, 95% CI 1.66-3.07; p < 0.001), delayed cerebral ischemia (DCI) (OR 1.91, 95% CI 1.31-2.78; p < 0.001), and increased incidence of poor neurological outcome or mortality as a combined endpoint (OR 2.36, 95% CI 1.87-2.97; p < 0.001). Pooling of multivariable effect sizes showed the same relationship for poor neurological outcome (OR 1.28, 95% CI 1.07-1.55; p = 0.01) and poor neurological outcome and mortality as a combined endpoint (OR 1.17, 95% CI 1.11-1.23; p < 0.001). Additionally, review of preclinical studies underlined the contribution of oxidative stress due to hyperoxemia to acute secondary brain injury and DCI. CONCLUSIONS: Reported outcomes from the available studies have indicated that hyperoxemia is associated with worse neurological outcome, mortality, and DCI. These findings provide a general guideline toward avoiding hyperoxemia in the acute setting of aSAH. Further studies are needed to determine the optimal ventilation and oxygenation parameters for acute management of this patient population.

Direct carotid puncture for neuroendovascular procedures.

BACKGROUND: Classically, access for neuroendovascular procedures is facilitated via groin or wrist puncture, entering the femoral or radial artery, respectively. However, in some instances, adequate intracranial access is not obtainable with those approaches due to vessel tortuosity or unfavorable anatomy. We describe a thrombectomy for stroke that was complicated by inability to achieve intracranial access via standard approaches. METHOD: To circumvent difficulties obtaining intracranial access, we entered the arterial circulation via a direct carotid puncture. CONCLUSION: Direct carotid puncture is an alternative access route for neuroendovascular procedures when intracranial access is not achievable by femoral or radial approaches due to unfavorable vascular anatomy.

Glucotypes reveal new patterns of glucose dysregulation.

Diabetes is an increasing problem worldwide; almost 30 million people, nearly 10% of the population, in the United States are diagnosed with diabetes. Another 84 million are prediabetic, and without intervention, up to 70% of these individuals may progress to type 2 diabetes. Current methods for quantifying blood glucose dysregulation in diabetes and prediabetes are limited by reliance on single-time-point measurements or on average measures of overall glycemia and neglect glucose dynamics. We have used continuous glucose monitoring (CGM) to evaluate the frequency with which individuals demonstrate elevations in postprandial glucose, the types of patterns, and how patterns vary between individuals given an identical nutrient challenge. Measurement of insulin resistance and secretion highlights the fact that the physiology underlying dysglycemia is highly variable between individuals. We developed an analytical framework that can group individuals according to specific patterns of glycemic responses called "glucotypes" that reveal heterogeneity, or subphenotypes, within traditional diagnostic categories of glucose regulation. Importantly, we found that even individuals considered normoglycemic by standard measures exhibit high glucose variability using CGM, with glucose levels reaching prediabetic and diabetic ranges 15% and 2% of the time, respectively. We thus show that glucose dysregulation, as characterized by CGM, is more prevalent and heterogeneous than previously thought and can affect individuals considered normoglycemic by standard measures, and specific patterns of glycemic responses reflect variable underlying physiology. The interindividual variability in glycemic responses to standardized meals also highlights the personal nature of glucose regulation. Through extensive phenotyping, we developed a model for identifying potential mechanisms of personal glucose dysregulation and built a webtool for visualizing a user-uploaded CGM profile and classifying individualized glucose patterns into glucotypes.

Early detection of SARS-CoV-2 and other infections in solid organ transplant recipients and household members using wearable devices.

The increasing global prevalence of SARS-CoV-2 and the resulting COVID-19 disease pandemic pose significant concerns for clinical management of solid organ transplant recipients (SOTR). Wearable devices that can measure physiologic changes in biometrics including heart rate, heart rate variability, body temperature, respiratory, activity (such as steps taken per day) and sleep patterns, and blood oxygen saturation show utility for the early detection of infection before clinical presentation of symptoms. Recent algorithms developed using preliminary wearable datasets show that SARS-CoV-2 is detectable before clinical symptoms in >80% of adults. Early detection of SARS-CoV-2, influenza, and other pathogens in SOTR, and their household members, could facilitate early interventions such as self-isolation and early clinical management of relevant infection(s). Ongoing studies testing the utility of wearable devices such as smartwatches for early detection of SARS-CoV-2 and other infections in the general population are reviewed here, along with the practical challenges to implementing these processes at scale in pediatric and adult SOTR, and their household members. The resources and logistics, including transplant-specific analyses pipelines to account for confounders such as polypharmacy and comorbidities, required in studies of pediatric and adult SOTR for the robust early detection of SARS-CoV-2, and other infections are also reviewed.

Experimental animal models for the study of moyamoya disease.

Moyamoya disease is a rare disorder of the cerebrovascular system affecting individuals in a bimodal age distribution and is characterized by progressive vascular stenosis of the bilateral supraclinoid internal carotid arteries with compensatory formation of collateral vessels at the base of the brain. Despite the disease's initial description in the literature in 1957, little progress has been made in the development of medical and surgical therapeutics due to, in no small part, the lack of effective experimental animal models. Currently, there is a poor understanding of the pathophysiological mechanisms behind the development of the moyamoya vasculopathies. Since the description of a genetic association between moyamoya disease, few studies have investigated the impact of genetic manipulation on the development of an animal model for experimentation. To date, no one model recapitulates the precise phenotype of the moyamoya vasculopathies, although development of an appropriate model would allow for an in-depth investigation into the pathological mechanisms underlying the disease. In this review, the authors discuss the immunological, mechanical, and genetic methods used to develop moyamoya experimental models, as well as future perspectives.

Morphometric Analysis of Predictors of Cervical Syrinx Formation in the Setting of Chiari I Malformation.

BACKGROUND/AIMS: We performed a morphometric analysis of Chiari I malformations to look for predictors of cervical syrinx formation. METHODS: Eighteen patients with Chiari I malformation and associated cervical syrinx and 16 patients with Chiari I malformation without associated cervical syrinx were included in the study. Chiari I size was obtained from the radiology report; foramen magnum diameter, cerebellar volume, posterior fossa volume and intracranial volume were calculated using OsiriX software, and average measurements were compared between the two groups. RESULTS AND CONCLUSION: Patients with Chiari I with syrinx had an average tonsillar descent of 13.03 ± 5.31 mm compared to 9.25 ± 3.31 mm in the Chiari I without syrinx group (p < 0.05). Patients with Chiari I and syrinx also showed increased cerebellar crowding with a higher cerebellar volume to posterior fossa volume ratio; however, this difference was not significant (0.83 vs. 0.81; p = 0.1872). No difference between groups was found in posterior fossa volume, intracranial volume and foramen magnum diameter. Therefore, only Chiari I size based on the extent of tonsillar herniation was found to be a determinant of cervical syrinx formation.

Promoting Policy, Systems, and Environment Change to Prevent Chronic Disease: Lessons Learned From the King County Communities Putting Prevention to Work Initiative.

CONTEXT: Initiatives that convene community stakeholders to implement policy, systems, environment, and infrastructure (PSEI) change have become a standard approach for promoting community health. OBJECTIVE: To assess the PSEI changes brought about by the King County, Washington, Communities Putting Prevention to Work initiative and describe how initiative structures and processes contributed to making changes. DESIGN: The impact evaluation used a logic model design, linking PSEI changes to longer-term behavioral impacts in healthy eating active living and tobacco use and exposure. Qualitative methods, including stakeholder interviews and surveys, were used to identify initiative success factors. SETTING: Communities Putting Prevention to Work activities occurred throughout King County, with a focus on 7 low-income communities in South Seattle/King County. PARTICIPANTS: The focus communities had a combined population of 652 000, or 35% of the county total, with lower incomes and higher rates of physical inactivity, tobacco use, poor diet, and chronic disease. INTERVENTION: Twenty-four PSEI strategies were pursued by organizations in sectors including schools, local governments, and community organizations, supported by the public health department. There were 17 healthy eating active living strategies (eg, enhancements to school menus, city planning policies) and 7 tobacco strategies (eg, smoke-free policies in schools, housing, and hospitals). MAIN OUTCOME MEASURE: PSEI changes made and numbers of residents reached. RESULTS: Twenty-two of the 24 strategies achieved significant progress toward implementing PSEI changes. The most common success factor was a "dyad" consisting of a dedicated technical assistance provider-either an outside consultant or public health department staff-working closely with a champion from the participating organizations to bring about PSEI changes. CONCLUSIONS: An initiative structure that creates and supports external consultant/internal organizational champion dyads in key community sectors offers a promising approach that may be adopted by similar community health efforts in the future.

Blood Pressure Guideline Adherence in Patients with Ischemic and Hemorrhagic Stroke in the Neurointensive Care Unit Setting.

BACKGROUND AND PURPOSE: Patients with acute brain injuries require strict physiologic control to minimize morbidity and mortality. This study aimed to assess in-hospital compliance to strict physiologic parameters (BP, HR, ICP, SpO2) in these populations. METHODS: Patients with severe cerebrovascular events were admitted to the neurointensive care unit (NSICU) and were continuously monitored using the BedMasterEX (Excel Medical Electronics Inc, FL) system, which recorded hemodynamic data via an arterial catheter continuously in 5-s intervals. Furthermore, we investigated the impact of healthcare provider shift changes (6-8 a.m./p.m) and of day (6 a.m.-6 p.m.) versus night (6 p.m-6 a.m) shifts in hemodynamic control. RESULTS: Fifty patients admitted to the NSICU, 50 % male, mean age 59.7 ± 13.9 years with subarachnoid hemorrhage (23), ischemic stroke (8), subdural hematoma (4), intracerebral hemorrhage (3), intraventricular hemorrhage (2), and miscellaneous injuries (10) were enrolled. Data represented 2,337 total hours of continuous monitoring. Systolic BPs (SBP) were on average outside of recommended ranges 32.26 ± 30.46 % of the monitoring period. We subdivided adherence to ideal SBP range: optimal (≥99 % of time spent in NSICU within range) was achieved in 12 %, adequate (90 %) in 16 %, suboptimal (80 %) in 20 %, inadequate I (70 %) in 12 %, and inadequate II (<70 %) in 40 % of patients. Comparison of shift change %time and day versus night %time out of parameter yielded no statistically significant differences across SAH patients. CONCLUSION: Hemodynamic management of patients with cerebrovascular injuries, based on targeted thresholds in the NSICU, yielded optimal control of SBP in only 28 % of our patients (within parameters ≥90 % of time).

Primary Embolization of Cerebral Arteriovenous Malformations With Intention to Cure: A Systematic Review of Literature and Meta-Analysis.

BACKGROUND AND OBJECTIVES: The treatment of brain arteriovenous malformations (AVMs) involves multiple approaches, including embolization, microsurgical resection, and radiosurgery. With the advent of new embolisates, dual-lumen balloon catheters, detachable tip microcatheters, and transvenous embolization, endovascular AVM obliteration has become more effective. Although adjuvant embolization and embolization are commonly used, the safety and effectiveness of curative embolization remain unclear. METHODS: We conducted a systematic literature review using PubMed, Ovid Medline, and Web of Science to identify studies reporting outcomes in patients with AVMs who underwent primary embolization with the intention to cure. We collected data on patient characteristics, AVM features, complications, and radiographic and clinical outcomes for meta-analysis. RESULTS: We identified 25 studies with a total of 1425 patients with 1427 AVMs who underwent curative embolization. Of these patients, 70% were low grade (pooled = 61% [39-82]), 67% were <3 cm (pooled = 78% [60-92]), and 75% were in superficial locations (pooled = 80% [72-86]). At last radiographic follow-up (mean, 16.7 ± 10.9 months), the full obliteration rate was 52% (pooled = 61% [43-77]) and retreatment rate was 25% (pooled = 17% [8.3-27]). At last clinical follow-up (mean, 24.2 ± 13.3 months), the poor clinical outcome rate was 7.9% (pooled = 4.4% [1.3-8.7]) and symptomatic complication rate was 13% (pooled = 13% [8-19]). There was no significant difference in the rate of radiographic cure, need for retreatment, and poor outcomes between ruptured and unruptured AVMs. Symptomatic complications were more common in the treatment of unruptured AVMs. The primary outcomes showed high heterogeneity (I2 = 72%-94%). CONCLUSION: Curative embolization of AVM is primarily reserved for small and low-grade AVMs, with highly variable outcomes. Our findings suggest poor radiographic outcomes and increased risk of complications. Outcomes are highly dependent on patient selection and technique used. Large multicenter prospective studies are required to further guide patient selection, categorize clinical and radiographic outcomes, and identify subgroup of patients that may benefit from curative embolization.

Automated Preoperative and Postoperative Volume Estimates Risk of Retreatment in Chronic Subdural Hematoma: A Retrospective, Multicenter Study.

BACKGROUND AND OBJECTIVES: Several neurosurgical pathologies, ranging from glioblastoma to hemorrhagic stroke, use volume thresholds to guide treatment decisions. For chronic subdural hematoma (cSDH), with a risk of retreatment of 10%-30%, the relationship between preoperative and postoperative cSDH volume and retreatment is not well understood. We investigated the potential link between preoperative and postoperative cSDH volumes and retreatment. METHODS: We performed a retrospective chart review of patients operated for unilateral cSDH from 4 level 1 trauma centers, February 2009-August 2021. We used a 3-dimensional deep learning, automated segmentation pipeline to calculate preoperative and postoperative cSDH volumes. To identify volume thresholds, we constructed a receiver operating curve with preoperative and postoperative volumes to predict cSDH retreatment rates and selected the threshold with the highest Youden index. Then, we developed a light gradient boosting machine to predict the risk of cSDH recurrence. RESULTS: We identified 538 patients with unilateral cSDH, of whom 62 (12%) underwent surgical retreatment within 6 months of the index surgery. cSDH retreatment was associated with higher preoperative (122 vs 103 mL; P < .001) and postoperative (62 vs 35 mL; P < .001) volumes. Patients with >140 mL preoperative volume had nearly triple the risk of cSDH recurrence compared with those below 140 mL, while a postoperative volume >46 mL led to an increased risk for retreatment (22% vs 6%; P < .001). On multivariate modeling, our model had an area under the receiver operating curve of 0.76 (95% CI: 0.60-0.93) for predicting retreatment. The most important features were preoperative and postoperative volume, platelet count, and age. CONCLUSION: Larger preoperative and postoperative cSDH volumes increase the risk of retreatment. Volume thresholds may allow identification of patients at high risk of cSDH retreatment who would benefit from adjunct treatments. Machine learning algorithm can quickly provide accurate estimates of preoperative and postoperative volumes.

Multi-omics microsampling for the profiling of lifestyle-associated changes in health.

Current healthcare practices are reactive and use limited physiological and clinical information, often collected months or years apart. Moreover, the discovery and profiling of blood biomarkers in clinical and research settings are constrained by geographical barriers, the cost and inconvenience of in-clinic venepuncture, low sampling frequency and the low depth of molecular measurements. Here we describe a strategy for the frequent capture and analysis of thousands of metabolites, lipids, cytokines and proteins in 10 µl of blood alongside physiological information from wearable sensors. We show the advantages of such frequent and dense multi-omics microsampling in two applications: the assessment of the reactions to a complex mixture of dietary interventions, to discover individualized inflammatory and metabolic responses; and deep individualized profiling, to reveal large-scale molecular fluctuations as well as thousands of molecular relationships associated with intra-day physiological variations (in heart rate, for example) and with the levels of clinical biomarkers (specifically, glucose and cortisol) and of physical activity. Combining wearables and multi-omics microsampling for frequent and scalable omics may facilitate dynamic health profiling and biomarker discovery.

Factors Affecting Selection of TraineE for Neurointervention (FASTEN).

BACKGROUND AND IMPORTANCE: Neurointervention is a very competitive specialty in the United States due to the limited number of training spots and the larger pool of applicants. The training standards are continuously updated to ensure solid training experiences. Factors affecting candidate(s) selection have not been fully established yet. Our study aims to investigate the factors influencing the selection process. METHODS: A 52-question survey was distributed to 93 program directors (PDs). The survey consisted of six categories: (a) Program characteristics, (b) Candidate demographics, (c) Educational credentials, (d) Personal traits, (e) Research and extracurricular activities, and (f) Overall final set of characteristics. The response rate was 59.1%. As per the programs' characteristics, neurosurgery was the most involved specialty in running the training programs (69%). Regarding demographics, the need for visa sponsorship held the greatest prominence with a mean score of 5.9 [standard deviation (SD) 2.9]. For the educational credentials, being a graduate from a neurosurgical residency and the institution where the candidate's residency training is/was scored the highest [5.4 (SD = 2.9), 5.4 (SD = 2.5), respectively]. Regarding the personal traits, assessment by faculty members achieved the highest score [8.9 (SD = 1)]. In terms of research/extracurricular activities, fluency in English had the highest score [7.2 (SD = 1.9)] followed by peer-reviewed/PubMed-indexed publications [6.4 (SD = 2.2)]. CONCLUSION: Our survey investigated the factors influencing the final decision when choosing the future neurointerventional trainee, including demographic, educational, research, and extracurricular activities, which might serve as valuable guidance for both applicants and programs to refine the selection process.

Mechanical thrombectomy for treatment of acute ischemic stroke in frail patients: a systematic review of the literature.

BACKGROUND: The overall safety and efficacy of mechanical thrombectomy (MT) for acute ischemic stroke (AIS) in frail patients is not well delineated. This systematic review aims to summarize and compare outcomes in frail and non-frail patients who underwent MT for AIS. METHODS: A systematic review of the literature was performed using PubMed, Ovid Medline, and Web of Science to identify studies with outcomes-related data for frail patients with MT-treated AIS. The recanalization rate, procedural complications, and clinical outcome at 90-day follow-up were collected. RESULTS: In the four included studies there were 642 frail patients and 499 non-frail patients. Frail patients had reduced rates of good functional outcomes (29% vs 42%; χ2=22, p<0.01) and increased 90-day mortality (51% vs 25%; χ2=38, p<0.01) compared with non-frail patients. CONCLUSION: MT for treatment of AIS in frail patients may be associated with worse rates of morbidity and mortality along with reduced efficacy. Given that no studies to date directly compare conservative measures with endovascular management for AIS in frail patients, more studies are required to further evaluate and identify characteristics that may improve outcomes in these patients.

Developmental venous anomaly thrombosis in a patient with coronavirus disease 2019-associated hypercoagulability: illustrative case.

BACKGROUND: Spontaneous thrombosis of a developmental venous abnormality (DVA) is a rare complication associated with hypercoagulability. The objective of this case report is to describe an association between DVA thrombosis and mild coronavirus disease 2019 (COVID-19) infection in a vaccinated patient. OBSERVATIONS: A 28-year-old male with hypertension presented with severe headache and left-sided hemiparesis. Five weeks prior to presentation, the patient experienced mild respiratory symptoms and tested positive for COVID-19. Admission brain computed tomography (CT) showed a large right parieto-occipital intracerebral hemorrhage with surrounding edema. CT venography and catheter angiography showed a thrombosed DVA with associated venous infarction as the hemorrhage etiology. He was treated with decompressive hemicraniectomy, external ventricular drain placement, and systemic anticoagulation. The patient was functionally independent (modified Rankin Scale score, 2) at 4-month follow-up. Hypercoagulability work-up was unremarkable. LESSONS: Delayed DVA thrombosis after the COVID-19 infectious period may represent an association between the infection and a protracted systemic viral-induced hypercoagulable state. The severity of COVID-19 symptomatology does not appear to correlate with risk of DVA thrombosis. Young patients with a recent history of COVID-19 infection who present with venous infarction should be evaluated for an underlying thrombosed DVA.

The perils and promises of generative artificial intelligence in neurointerventional surgery.

Generative artificial intelligence (AI) holds great promise in neurointerventional surgery by providing clinicians with powerful tools for improving surgical precision, accuracy of diagnoses, and treatment planning. However, potential perils include biases or inaccuracies in the data used to train the algorithms, over-reliance on generative AI without human oversight, patient privacy concerns, and ethical implications of using AI in medical decision-making. Careful regulation and oversight are needed to ensure that the promises of generative AI in neurointerventional surgery are realized while minimizing its potential perils.[ChatGPT authored summary using the prompt "In one paragraph summarize the promises and perils of generative AI in neurointerventional surgery".].