Quantification of blood and CSF volume to predict outcome after aneurysmal subarachnoid hemorrhage.

This study aimed to describe the relationship between blood and CSF volumes in different compartments on baseline CT after aSAH, assess if they independently predict long-term outcome, and explore their interaction with age. CT scans from patients participating in a prospective multicenter randomized controlled trial of patients with aSAH were segmented for blood and CSF volumes. The primary outcomes were the mRS, and the Subarachnoid Hemorrhage Outcome Tool (SAHOT) at day 28 and 180. Univariate regressions were conducted to identify significant predictors of poor outcomes, followed by principal component analysis to explore correlations between imaging variables and WFNS. A multivariate predictive model was then developed and optimized using stepwise regression. CT scans from 97 patients with a median delay from symptom onset of 271 min (131-547) were analyzed. Univariate analysis showed only WFNS, and total blood volume (TBV) were significant predictors of both short and long-term outcome with WFNS more predictive of mRS and TBV more predictive of SAHOT. Principal component analysis showed strong dependencies between the imaging predictors. Multivariate ordinal regression showed models with WFNS alone were most predictive of day 180 mRS and models with TBV alone were most predictive of SAHOT. TBV was the most significant measured imaging predictor of poor long-term outcome after aSAH. All these imaging predictors are correlated, however, and may have multiple complex interactions necessitating larger datasets to detect if they provide any additional predictive value for long-term outcome.

The utility of MRI radiological biomarkers in determining intracranial pressure.

Intracranial pressure (ICP) is a physiological parameter that conventionally requires invasive monitoring for accurate measurement. Utilising multivariate predictive models, we sought to evaluate the utility of non-invasive, widely accessible MRI biomarkers in predicting ICP and their reversibility following cerebrospinal fluid (CSF) diversion. The retrospective study included 325 adult patients with suspected CSF dynamic disorders who underwent brain MRI scans within three months of elective 24-h ICP monitoring. Five MRI biomarkers were assessed: Yuh sella grade, optic nerve vertical tortuosity (VT), optic nerve sheath distension, posterior globe flattening and optic disc protrusion (ODP). The association between individual biomarkers and 24-h ICP was examined and reversibility of each following CSF diversion was assessed. Multivariate models incorporating these radiological biomarkers were utilised to predict 24-h median intracranial pressure. All five biomarkers were significantly associated with median 24-h ICP (p < 0.0001). Using a pair-wise approach, the presence of each abnormal biomarker was significantly associated with higher median 24-h ICP (p < 0.0001). On multivariate analysis, ICP was significantly and positively associated with Yuh sella grade (p < 0.0001), VT (p < 0.0001) and ODP (p = 0.003), after accounting for age and suspected diagnosis. The Bayesian multiple linear regression model predicted 24-h median ICP with a mean absolute error of 2.71 mmHg. Following CSF diversion, we found pituitary sella grade to show significant pairwise reversibility (p < 0.001). ICP was predicted with clinically useful precision utilising a compact Bayesian model, offering an easily interpretable tool using non-invasive MRI data. Brain MRI biomarkers are anticipated to play a more significant role in the screening, triaging, and referral of patients with suspected CSF dynamic disorders.

A single-centre, retrospective study of incisional hernia repair outcomes post kidney transplantation.

PURPOSE: Incisional hernias (IH) after kidney transplantation (KTx) can cause significant morbidity in kidney transplant recipients (KTR). We aimed to report the outcomes of surgical repair of IH in KTR from our centre. METHODS: We retrospectively analysed all the IH repairs in KTR from May 2018 to May 2023. We documented pre-transplant baseline characteristics, peri- and post-KTx events and outcomes and post-IH repair complications. We also documented length of stay, survival, and hernia recurrence post-IH repair. RESULTS: We performed 35 incisional hernia repairs in 34 KTR from May 2018 to May 2023 with an overall incidence of 1.63% symptomatic IH. Mean patient age was 56.7 ± 10.1 years and mean body mass index (BMI) 29.7 ± 6.49 kg/m2. A history of previous hernia operation and open abdominal operations was present in 11.4% and 22.9% of the population, respectively. The types of repairs performed were primary (5.7%), onlay (62.9%), inlay (2.9%) and retromuscular sublay (28.6%). Mean hernia neck size was 8.9 ± 5.6 cm. After IH repair, there was no perioperative mortality with an average 5.5 ± 3.9 days of length of stay. There were seven episodes (20%) of IH recurrence. There was a 6% of superficial wound dehiscence rate and a 3% of surgical site infection. Pearson's correlation test revealed that post-operative hernia recurrence was not related with neck size, post-transplant complications or pre- and post-transplant characteristics, as well as post-transplant outcome. CONCLUSIONS: The recurrence rate in our cohort was 20%. Known risk factors for IH in KTR as well as post-KTx events were not correlated with hernia recurrence or other post-hernia repair complications.

CRISPR-enabled point-of-care genotyping for APOL1 genetic risk assessment.

Detecting genetic variants enables risk factor identification, disease screening, and initiation of preventative therapeutics. However, current methods, relying on hybridization or sequencing, are unsuitable for point-of-care settings. In contrast, CRISPR-based-diagnostics offer high sensitivity and specificity for point-of-care applications. While these methods have predominantly been used for pathogen sensing, their utilization for genotyping is limited. Here, we report a multiplexed CRISPR-based genotyping assay using LwaCas13a, PsmCas13b, and LbaCas12a, enabling the simultaneous detection of six genotypes. We applied this assay to identify genetic variants in the APOL1 gene prevalent among African Americans, which are associated with an 8-30-fold increase in the risk of developing kidney disease. Machine learning facilitated robust analysis across a multicenter clinical cohort of more than 100 patients, accurately identifying their genotypes. In addition, we optimized the readout using a multi-analyte lateral-flow assay demonstrating the ability for simplified genotype determination of clinical samples. Our CRISPR-based genotyping assay enables cost-effective point-of-care genetic variant detection due to its simplicity, versatility, and fast readout.

Cytokine-mediated CAR T therapy resistance in AML.

Acute myeloid leukemia (AML) is a rapidly progressive malignancy without effective therapies for refractory disease. So far, chimeric antigen receptor (CAR) T cell therapy in AML has not recapitulated the efficacy seen in B cell malignancies. Here we report a pilot study of autologous anti-CD123 CAR T cells in 12 adults with relapsed or refractory AML. CAR T cells targeting CD123+ cells were successfully manufactured in 90.4% of runs. Cytokine release syndrome was observed in 10 of 12 infused individuals (83.3%, 90% confidence interval 0.5-0.97). Three individuals achieved clinical response (25%, 90% confidence interval 0.07-0.53). We found that myeloid-supporting cytokines are secreted during cell therapy and support AML blast survival via kinase signaling, leading to CAR T cell exhaustion. The prosurvival effect of therapy-induced cytokines presents a unique resistance mechanism in AML that is distinct from any observed in B cell malignancies. Our findings suggest that autologous CART manufacturing is feasible in AML, but treatment is associated with high rates of cytokine release syndrome and relatively poor clinical efficacy. Combining CAR T cell therapies with cytokine signaling inhibitors could enhance immunotherapy efficacy in AML and achieve improved outcomes (ClinicalTrials.gov identifier: NCT03766126 ).

Antiprotozoal peptide prediction using machine learning with effective feature selection techniques.

Background: Protozoal pathogens pose a considerable threat, leading to notable mortality rates and the ongoing challenge of developing resistance to drugs. This situation underscores the urgent need for alternative therapeutic approaches. Antimicrobial peptides stand out as promising candidates for drug development. However, there is a lack of published research focusing on predicting antimicrobial peptides specifically targeting protozoal pathogens. In this study, we introduce a successful machine learning-based framework designed to predict potential antiprotozoal peptides effective against protozoal pathogens. Objective: The primary objective of this study is to classify and predict antiprotozoal peptides using diverse negative datasets. Methods: A comprehensive literature review was conducted to gather experimentally validated antiprotozoal peptides, forming the positive dataset for our study. To construct a robust machine learning classifier, multiple negative datasets were incorporated, including (i) non-antimicrobial, (ii) antiviral, (iii) antibacterial, (iv) antifungal, and (v) antimicrobial peptides excluding those targeting protozoal pathogens. Various compositional features of the peptides were extracted using the pfeature algorithm. Two feature selection methods, SVC-L1 and mRMR, were employed to identify highly relevant features crucial for distinguishing between the positive and negative datasets. Additionally, five popular classifiers i.e. Decision Tree, Random Forest, Support Vector Machine, Logistic Regression, and XGBoost were used to build efficient decision models. Results: XGBoost was the most effective in classifying antiprotozoal peptides from each negative dataset based on the features selected by the mRMR feature selection method. The proposed machine learning framework efficiently differentiate the antiprotozoal peptides from (i) non-antimicrobial (ii) antiviral (iii) antibacterial (iv) antifungal and (v) antimicrobial with accuracy of 97.27 %, 93.64 %, 86.36 %, 90.91 %, and 89.09 % respectively on the validation dataset. Conclusion: The models are incorporated in a user-friendly web server (www.soodlab.com/appred) to predict the antiprotozoal activity of given peptides.

Determining the N-Glycan and Collagen/Extracellular Matrix Protein Compositions in a Novel Outcome Cohort of Prostate Cancer Tissue Microarrays Using MALDI-MSI.

Prostate cancer is a significant health concern, with metastasis posing major clinical challenges and resulting in poor patient outcome. Despite screening and treatment advances, a critical need for novel biomarkers to predict prostate cancer progression at the time of prostatectomy persists. Here, we assessed aberrant N-glycosylation patterns and alterations in extracellular matrix proteins as potential biomarkers of predicting prostate cancer severity in a unique patient outcome cohort. Tissue microarray slides were assembled from primary prostatectomy specimens that were categorized into "no evidence of disease (NED)" and "metastasis (MET)" designations based on >5-year disease progression outcomes. Serial mass spectrometry imaging techniques were performed to analyze N-glycans and extracellular matrix (ECM) components in formalin-fixed paraffin-embedded cores. The results revealed a significant upregulation of bisecting and multi-antennary core fucosylated N-glycans in MET tissues when compared to NED tissues. Alterations in ECM composition in both NED and MET cohorts were observed, particularly in collagen species and the amount of hydroxyproline content. Results suggest a coordinated alteration of ECM protein and glycosylation content in prostate cancer tissues can be predictive for post-prostatectomy disease progression.

The transcriptomic landscape of spinal V1 interneurons reveals a role for En1 in specific elements of motor output.

Neural circuits in the spinal cord are composed of diverse sets of interneurons that play crucial roles in shaping motor output. Despite progress in revealing the cellular architecture of the spinal cord, the extent of cell type heterogeneity within interneuron populations remains unclear. Here, we present a single-nucleus transcriptomic atlas of spinal V1 interneurons across postnatal development. We find that the core molecular taxonomy distinguishing neonatal V1 interneurons perdures into adulthood, suggesting conservation of function across development. Moreover, we identify a key role for En1, a transcription factor that marks the V1 population, in specifying one unique subset of V1Pou6f2 interneurons. Loss of En1 selectively disrupts the frequency of rhythmic locomotor output but does not disrupt flexion/extension limb movement. Beyond serving as a molecular resource for this neuronal population, our study highlights how deep neuronal profiling provides an entry point for functional studies of specialized cell types in motor output.

Differences in Health Care and Palliative Care Use at the End of Life: A Comparison Study Among Lung Cancer, COPD, and Idiopathic Pulmonary Fibrosis.

BACKGROUND: Patients with lung cancer, idiopathic pulmonary fibrosis (IPF), and COPD have high symptom burden, poor quality of life, and high health care use at the end of life. Although proactive integration of palliative care in lung cancer can improve outcomes, it is unclear whether similar practices have been adopted in COPD and IPF care. RESEARCH QUESTION: Do patients with COPD and IPF have different patterns of health care and palliative care use at the end of life compared with patients with lung cancer? STUDY DESIGN AND METHODS: We retrospectively identified deceased patients with lung cancer, COPD, or IPF with ≥ 1 outpatient visit at the University of California, San Francisco, in the last 6 months of life. We compared outpatient palliative care and opioid prescriptions, inpatient palliative care, hospitalizations, intensive care use, and in-hospital death in the last 6 months of life between each group. We used multivariable logistic regression to calculate adjusted ORs (aORs) of each outcome, with lung cancer as the reference group. RESULTS: Among 1,819 patients, patients with COPD and IPF were more likely to be male and older at the time of death compared with patients with lung cancer. Compared with patients with lung cancer, patients with COPD and IPF showed a lower adjusted odds (P < .001) of receiving outpatient palliative care (COPD: aOR, 0.26 [95% CI, 0.19-0.36]; IPF: aOR, 0.48 [95% CI, 0.32-0.70;), outpatient opioids (COPD: aOR, 0.50 [95% CI, 0.40-0.63]; IPF: aOR, 0.40 [95% CI, 0.29-0.54]), and a higher odds of end-of-life ICU use (COPD: aOR, 2.88 [95% CI, 2.11-3.93]; IPF: aOR, 4.15 [95% CI, 2.66-6.49]). Patients with IPF showed higher odds of receiving inpatient palliative care (aOR: 2.02 [95% CI, 1.30-3.13]; P = .002). INTERPRETATION: Patients with COPD and IPF are less likely to receive outpatient palliative care and opioid prescriptions and are more likely to use end-of-life intensive care than patients with lung cancer. Further research should explore health system barriers contributing to differences in care patterns to optimize quality of life and to align with patient goals of care.

Identifying priority challenges of older adults with COPD: A multiphase intervention refinement study.

BACKGROUND: Identifying priority challenges of older adults with chronic obstructive pulmonary disease (COPD) is critical to designing interventions aimed at improving their well-being and independence. OBJECTIVE: To prioritize challenges of older adults with COPD and those who care for them to guide refinement of a telephonic nurse coach intervention for patients with COPD and their family caregivers (EPIC: Empowering People to Independence in COPD). DESIGN: Multiphase study guided by Baltes Theory of Successful Aging and the 5Ms Framework: Phase 1: Nominal group technique (NGT), a structured process of prioritizing responses to a question through group consensus. Phase 2: Rapid qualitative analysis. Phase 3: Intervention mapping and refinement. SETTING: Ambulatory, virtual. PARTICIPANTS: Older adults with COPD, family caregivers, clinic staff (nurses, respiratory therapists), clinicians (physicians, nurse practitioners), and health system leaders. RESULTS: NGT sessions were conducted by constituency group with 37 participants (n = 7 patients, n = 6 family caregivers, n = 8 clinic staff, n = 9 clinicians, n = 7 health system leaders) (Phase 1). Participants generated 92 statements across five themes (Phase 2): (1) "Barriers to care", (2) "Family caregiver needs", (3) "Functional status and mobility issues", (4) "Illness understanding", and (5) "COPD care complexities". Supplemental oxygen challenges emerged as a critical problem, and prioritized challenges differed by group. Patients and clinic staff prioritized "Functional status and mobility issues", family caregivers prioritized "Family caregiver needs", and clinicians and health system leaders prioritized "COPD care complexities". Intervention mapping (Phase 3) guided EPIC refinement focused on meeting patient priorities of independence and mobility but accounting for all priorities. CONCLUSIONS: Diverse constituency groups identified priority challenges for older adults with COPD. Functional status and mobility issues, particularly related to supplemental oxygen, emerged as patient prioritized challenges. IMPLICATIONS: Patient-centered interventions for older adults with COPD must account for their prioritized functional and supplemental oxygen needs and explore diverse constituent perspectives to facilitate intervention enrichment.

Role of central endpoint adjudication and challenges in trials on neonatal sepsis-a case of ProSPoNS trial.

Despite progress in reducing the infant mortality in India, the neonatal mortality decline has been slower, necessitating concerted efforts to achieve Sustainable Development Goal-3. A promising strategy aiming to prevent neonatal sepsis in high-risk, vulnerable, low birth weight neonates through an innovative intervention includes probiotic supplementation. This article communicates the decision by the ProSPoNS trial investigators to establish a Central Endpoint Adjudication Committee (CEAC) as an addendum to the protocol published in Trials in 2021 for the purpose of clarifying the primary outcome. In the published protocol, the study hypothesis and primary objective are based on "sepsis," the primary outcome has been specified as sepsis/PSBI, whereas the sample size estimation was performed based on the "physician diagnosed sepsis." To align all the three above, the investigators meeting, held on 17th-18th August 2023, at MGIMS Sevagram, Wardha, deliberated and unanimously agreed that "physician diagnosed sepsis" is the primary study outcome which includes sepsis/PSBI. The CEAC, chaired by an external subject expert and members including trial statistician, a microbiologist, and all site principal investigators will employ four criteria to determine "physician diagnosed sepsis": (1) blood culture status, (2) sepsis screen status, (3) PSBI/non-PSBI signs and symptoms, and (4) the clinical course for each sickness event. Importantly, this clarification maintains consistency with the approved study protocol (Protocol No. 5/7/915/2012 version 3.1 dated 14 Feb 2020), emphasizing the commitment to methodological transparency and adherence to predefined standards. The decision to utilize the guidance of a CEAC is recommended as the gold standard in multicentric complex clinical trials to achieve consistency and accuracy in assessment of outcomes.Trial registrationClinical Trial Registry of India (CTRI) CTRI/2019/05/019197. Registered on 16 May 2019.

Discrepancy between estimated glomerular filtration rate by creatinine versus cystatin C in different patient care settings.

OBJECTIVE: Estimated glomerular filtration rate (eGFR) calculated by cystatin C (cysC) has been recommended for broader adoption. This study assessed the discrepancy between eGFR calculated by cysC (eGFRcys) and creatinine (eGFRcr) in different patient care settings and explored potential contributing factors to such discrepancies. METHODS: This retrospective study included 2072 patients with paired cysC and creatinine results in different patient care settings. Delta eGFRcr-cys (eGFRcr - eGFRcys) was analyzed in relationship to patient care settings and the Elixhauser Comorbidity index. The 90-day survival in patients with different delta eGFR was assessed by Kaplan-Meier analysis, univariate and multivariate Cox proportional hazard models. In addition, discrepancy between eGFRcys and eGFRcr was analyzed in 50 ambulatory patients with systemic inflammation but normal kidney function. RESULTS: Inpatients had higher cysC (median 1.91 mg/L), lower eGFRcys (median 31 mL/min/1.73 m2), and larger delta eGFRcr-cys (median 18 mL/min/1.73 m2) than outpatients (cysC median 1.53 mg/L, p < 0.0001, eGFRcys median 41 mL/min/1.73 m2, p < 0.0001, delta eGFRcr-cys median 4 mL/min/1.73 m2, p < 0.0001). Higher Elixhauser Comorbidity index correlated with lower eGFRcys and larger delta eGFRcr-cys, with median delta eGFRcr-cys 11 and 6 mL/min/1.73 m2 in patients with a Comorbidity index > 15 and ≤ 15, respectively (p < 0.0001). Increased delta eGFRcr-cys was associated with worse 90-day survival. Patients with systemic inflammation but normal kidney function had lower eGFRcys (median 77.5 mL/min/1.73 m2) than eGFRcr (median 97 mL/min/1.73 m2, p < 0.001), with red blood cell abnormalities as associated factors. CONCLUSION: Inflammation and comorbidities are associated with decreased eGFRcys and large discrepancies between eGFRcr and eGFRcys independent of kidney function and are most apparent in inpatients. Creatinine-cysC combined eGFR reduces this discrepancy and should be broadly adopted.

The Spatial Extracellular Proteomic Tumor Microenvironment Distinguishes Molecular Subtypes of Hepatocellular Carcinoma.

Hepatocellular carcinoma (HCC) mortality rates continue to increase faster than those of other cancer types due to high heterogeneity, which limits diagnosis and treatment. Pathological and molecular subtyping have identified that HCC tumors with poor outcomes are characterized by intratumoral collagenous accumulation. However, the translational and post-translational regulation of tumor collagen, which is critical to the outcome, remains largely unknown. Here, we investigate the spatial extracellular proteome to understand the differences associated with HCC tumors defined by Hoshida transcriptomic subtypes of poor outcome (Subtype 1; S1; n = 12) and better outcome (Subtype 3; S3; n = 24) that show differential stroma-regulated pathways. Collagen-targeted mass spectrometry imaging (MSI) with the same-tissue reference libraries, built from untargeted and targeted LC-MS/MS was used to spatially define the extracellular microenvironment from clinically-characterized, formalin-fixed, paraffin-embedded tissue sections. Collagen α-1(I) chain domains for discoidin-domain receptor and integrin binding showed distinctive spatial distribution within the tumor microenvironment. Hydroxylated proline (HYP)-containing peptides from the triple helical regions of fibrillar collagens distinguished S1 from S3 tumors. Exploratory machine learning on multiple peptides extracted from the tumor regions could distinguish S1 and S3 tumors (with an area under the receiver operating curve of ≥0.98; 95% confidence intervals between 0.976 and 1.00; and accuracies above 94%). An overall finding was that the extracellular microenvironment has a high potential to predict clinically relevant outcomes in HCC.

The glycosylation landscape of prostate cancer tissues and biofluids.

An overview of the role of glycosylation in prostate cancer (PCa) development and progression is presented, focusing on recent advancements in defining the N-glycome through glycomic profiling and glycoproteomic methodologies. Glycosylation is a common post-translational modification typified by oligosaccharides attached N-linked to asparagine or O-linked to serine or threonine on carrier proteins. These attached sugars have crucial roles in protein folding and cellular recognition processes, such that altered glycosylation is a hallmark of cancer pathogenesis and progression. In the past decade, advancements in N-glycan profiling workflows using Matrix Assisted Laser Desorption/Ionization Mass Spectrometry Imaging (MALDI-MSI) technology have been applied to define the spatial distribution of glycans in PCa tissues. Multiple studies applying N-glycan MALDI-MSI to pathology-defined PCa tissues have identified significant alterations in N-glycan profiles associated with PCa progression. N-glycan compositions progressively increase in number, and structural complexity due to increased fucosylation and sialylation. Additionally, significant progress has been made in defining the glycan and glycopeptide compositions of prostatic-derived glycoproteins like prostate-specific antigen in tissues and biofluids. The glycosyltransferases involved in these changes are potential drug targets for PCa, and new approaches in this area are summarized. These advancements will be discussed in the context of the further development of clinical diagnostics and therapeutics targeting glycans and glycoproteins associated with PCa progression. Integration of large scale spatial glycomic data for PCa with other spatial-omic methodologies is now feasible at the tissue and single-cell levels.

Efficacy of dexamethasone implant in the management of chronic central serous chorioretinopathy without choroidal neovascularization.

PURPOSE: To demonstrate the treatment efficacy of intravitreal dexamethasone (DEX) implant in chronic recurrent/persistent central serous chorioretinopathy (CSC). DESIGN: Prospective, non-randomized, open-label study. METHODS: In this study, subjects with chronic CSC without signs of choroidal neovascularization (CNV) received intravitreal DEX implant therapy. The primary outcome measure was the change in visual acuity. Changes in central macular thickness (CMT) and change in subfoveal choroidal thickness (SFCT) on optical coherence tomography (OCT), incidence of recurrent fluid, and safety of DEX implant were secondary outcome measures. Subjects were followed up for a minimum of 3 months after DEX implantation. RESULTS: In total, 20 eyes of 20 subjects (mean age: 47 ± 9 years) with a median disease duration of 23.5 months were enrolled. With a single injection of DEX implant, a reduction in CMT was noted in 90% of eyes. Complete resolution of subretinal and intraretinal fluid was noted in 55% of eyes within 3 months of injection. A significant improvement in vision (mean Log MAR visual acuity 0.66 ± 0.49 vs. 0.54 ± 0.45; P = 0.020), mean CMT (338 ± 110 microns to 238 ± 73 microns; P < 0.001) and SFCT (514 ± 95 microns to 445 ± 111 microns; P < 0.001) was noted over 3 months. Recurrent fluid was noted in 50% of eyes after a mean follow-up duration of 7 ± 4 months. Elevated intraocular pressure, managed by topical therapy, was noted in six eyes. CONCLUSION: The consistent improvement in visual acuity, fluid resolution, and reduction in choroidal thickness suggests a possible role for DEX implants in managing chronic CSC. A larger randomized trial is warranted.

Empowering Early Career Neurosurgeons in the Critical Appraisal of Artificial Intelligence and Machine Learning: The Design and Evaluation of a Pilot Course.

BACKGROUND: Artificial intelligence (AI) is expected to play a greater role in neurosurgery. There is a need for neurosurgeons capable of critically appraising AI literature to evaluate its implementation or communicate information to patients. However, there are a lack of courses delivered at a level appropriate for individuals to develop such skills. We assessed the impact of a 2-day (non-credit bearing) online digital literacy course on the ability of individuals to critically appraise AI literature in neurosurgery. METHODS: We performed a prospective, quasi-experimental non-randomized, controlled study with an intervention arm comprising individuals enrolled in our 2-day digital health literacy course and a waiting-list control arm used for comparison. We assessed participants' pre- and post-course knowledge, confidence, and course acceptability using Qualtrics surveys designed for the purpose of this study. RESULTS: A total of 62 individuals (33 participants, 29 waitlist controls), including neurosurgical trainees and both undergraduate and post-graduate students, attended the course and completed the pre-course survey. The 2 groups did not vary significantly in terms of age or demographics. Following the course, participants significantly improved in their knowledge of AI (mean difference = 3.86, 95% CI = 2.97-4.75, P-value < 0.0001) and confidence in critically appraising literature using AI (P-value = 0.002). Similar differences in knowledge (mean difference = 3.15, 95% CI = 1.82-4.47, P-value < 0.0001) and confidence (P-value < 0.0001) were found when compared to the control group. CONCLUSIONS: Bespoke courses delivered at an appropriate level can improve clinicians' understanding of the application of AI in neurosurgery, without the need for in-depth technical knowledge or programming skills.

The functional lumen imaging probe contractile response pattern is the best predictor of botulinum toxin response in esophagogastric junction outflow obstruction.

BACKGROUND: Esophagogastric junction outflow obstruction (EGJOO) is a heterogenous disorder in which the correct management strategy is unclear. We assessed whether functional lumen imaging probe (FLIP) topography data could select EGJOO, which would benefit from lower esophageal sphincter Botulinum toxin (Botox) injection. METHODS: This was a single-center prospective study of adult patients meeting Chicago Classification (CC) v3.0 criteria for EGJOO. We assessed differences in pretreatment physiologic measurements on high-resolution manometry (HRM) and FLIP and other relevant clinical variables in predicting Botox response (>50% in BEDQ at 2 months). KEY RESULTS: Sixty-nine patients were included (ages 33-90, 73.9% female). Of these, 42 (61%) were Botox responders. Majority of physiologic measures on HRM and FLIP and esophageal emptying were not different based on Botox response. However, a spastic-reactive (SR) FLIP contractile response (CR) pattern predicted a Botox response with OR 25.6 (CI 2.9-229.6) when compared to antegrade FLIP CR; and OR for impaired-disordered/absent CR was 22.5 (CI 2.5-206.7). Logistic regression model using backward elimination (p value = 0.0001, AUC 0.79) showed that a SRCR or IDCR/absent response and the upright IRP predicted Botox response. Response rates in tiered diagnostic groups were: (i) CCv3.0 EGJOO (60.9%), (ii) CCv4.0 EGJOO (73.1%), (iii) CCv4.0 + FLIP REO (80%), (iv) CCv4.0, FLIP REO, and abnormal FLIP CR (84.2%), and (v) CCv4.0, FLIP REO, and SR FLIP CR (90%). CONCLUSIONS AND INFERENCES: FLIP helps identify patients with EGJOO who are likely to response to LES Botox therapy. An abnormal FLIP contractile response pattern is the single-most important predictor of a Botox response.

Solar-Powered Gram-Scale Ammonia Production from Nitrate.

The photoelectrochemical (PEC) method has the potential to be an attractive route for converting and storing solar energy as chemical bonds. In this study, a maximum NH3 production yield of 1.01 g L-1 with a solar-to-ammonia conversion efficiency of 8.17% through the photovoltaic electrocatalytic (PV-EC) nitrate (NO3 -) reduction reaction (NO3 -RR) is achieved, using silicon heterojunction solar cell technology. Additionally, the effect of tuning the operation potential of the PV-EC system and its influence on product selectivity are systematically investigated. By using this unique external resistance tuning approach in the PV-EC system, ammonia production through nitrate reduction performance from 96 to 360 mg L-1 is enhanced, a four-fold increase. Furthermore, the NH3 is extracted as NH4Cl powder using acid stripping, which is essential for storing chemical energy. This work demonstrates the possibility of tuning product selectivity in PV-EC systems, with prospects toward pilot scale on value-added product synthesis.