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Introduction: Data on the impact of malignancy on outcomes in patients with stroke, especially hemorrhagic stroke, are limited. We aimed to clarify the association between cancer and outcomes for each stroke type (ischemic/hemorrhagic) using a hospital-based multicenter stroke registration database., Patients and Methods: Study participants were adult patients within 7 days of the onset of ischemic stroke (IS) or hemorrhagic stroke (HS) between 2000 and 2020 in the Japan Stroke Data Bank (JSDB). The patients were categorized into two groups according to whether they had a history of cancer. Outcomes included good functional outcomes, representing a modified Rankin Scale score of 0-2 at discharge and in-hospital mortality., Results: Of the 203,983 patients analyzed in this substudy, 152,591 (women, 39.9 %; median age, 75 years) had IS, and 51,392 (48.6 %; 69 years) had HS. Of these, 6409 IS (4.2 %) and 1560 HS (3.0 %) patients had any cancer. IS patients with cancer had a lower frequency of good functional outcomes (47.5 % vs. 56.3 %; adjusted odds ratio [aOR] 0.85, 95 % confidence interval [CI] 0.79-0.91) and a higher incidence of in-hospital mortality (6.7 % vs. 4.5 %; aOR 1.59, 95 % CI 1.41-1.80) than those without cancer. HS patients with cancer showed a lower frequency of good functional outcome (24.9 % vs. 35.7 %; aOR 0.88, 95 % CI 0.78-0.99) and higher incidence of in-hospital mortality (20.1 % vs. 16.0 %; aOR 1.26, 95 % CI 1.04-1.52) than those without cancer., Conclusions: Both IS and HS patients with cancer had significantly lower good functional outcomes and more in-hospital mortality., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Authors. Published by Elsevier B.V. All rights reserved.)

Objective: This study aims to systematically evaluate the burden of low back pain(LBP) in the middle-aged population across global regions and between genders, assess the major risk factors and their impacts, and project the burden to 2050, providing a scientific basis for global preventive actions., Methods: This study utilized The Global Burden of Disease(GBD) 2021 database. First, we integrated the population data of the 45-49, 50-54, and 55-59 age groups provided by the GBD using a weighted average method to calculate the Disability-adjusted life years(DALYs) rate for the middle-aged population aged 45 to 59 years. Subsequently, we analyzed the trends in the burden of LBP globally and across regions from 1990 to 2021, with a focus on stratified data by country, risk factors (e.g., high BMI), and gender. Finally, we employed the Bayesian Age-Period-Cohort(BAPC) model to predict future trends in LBP burden from 2021 to 2050., Results: Globally, from 1990 to 2021, the DALY rate for the 45-59 age group with LBP decreased from 875.45(95%UI: 534.57-1340.68) per 100,000 people to 747.92 (450.55-1,161.66), with an EAPC of -0.46 (95%UI: -0.50 to -0.43). Despite the decline in DALY rates, the total number of DALYs due to LBP increased from 5,515,080.64 (95%UI: 3,367,626.11-8,445,931.67) in 1990 to 9,816,401.64 (95%UI: 5,913,142.33-15,249,187.03) in 2021, a rise of 4,301,321. High Socio-Demographic Index (SDI) regions were the most affected, with a DALY rate of 933.03 (95%UI: 557.90-1,420.60) per 100,000 in 2021. Among risk factors, high BMI showed the most significant increase, with DALY rates rising from 153.64 (95%UI: 15.94-334.63) per 100,000 in 1990 to 209.09 (95%UI: 22.16-452.58) in 2021, and an EAPC of 1.08 (95%UI: 1.02 to 1.14). Gender differences revealed a DALY rate of 705.39 (95%UI: 431.21-1,078.96) per 100,000 for males and 803.62 (95%UI: 471.69-1,266.63) per 100,000 for females in 2021. Projections based on the BAPC model suggest that by 2050, global DALYs due to LBP will increase to 11,626,643.07, with females expected to account for 6,725,763.24 and males for 4,900,879.84, indicating a greater burden for females., Conclusion: This study highlights the global burden and trends of LBP in the middle-aged population. Although the DALY rate for the 45-59 age group decreased from 1990 to 2021, the total number of DALYs increased significantly due to population aging. In this context, the burden of LBP in low-middle SDI regions has remained largely unchanged and remains substantial, while high-SDI regions, despite some decline, continue to bear the highest overall burden. High BMI continues to contribute significantly to the rising LBP burden, particularly in middle-aged populations, and demands urgent attention. Gender differences indicate that females bear a greater LBP burden than males, with the gap widening over time. Effective preventive and intervention measures are urgently needed to mitigate the future burden of LBP., (© 2024. The Author(s).)

Research into the brain basis of psychopathology is challenging due to the heterogeneity of psychiatric disorders, extensive comorbidities, underdiagnosis or overdiagnosis, multifaceted interactions with genetics and life experiences, and the highly multivariate nature of neural correlates. Therefore, increasingly larger datasets that measure more variables in larger cohorts are needed to gain insights. In this review, we present current "best practice" approaches for using existing databases, collecting and sharing new repositories for big data analyses, and future directions for big data in neuroimaging and psychiatry with an emphasis on contributing to collaborative efforts and the challenges of multi-study data analysis., (© 2024. The Author(s).)

Background: The estimated pulse wave velocity (ePWV) is a recently developed, simple and useful tool to measure arterial stiffness and to predict long-term cardiovascular mortality. However, the association of ePWV with mortality risk in patients with subarachnoid hemorrhage (SAH) is unclear. Herein, this study aims to assess the potential prediction value of ePWV on short- and long-term mortality of SAH patients., Methods: Data of adult patients with no traumatic SAH were extracted from the Medical Information Mart for Intensive Care (MIMIC) III and IV database in this retrospective cohort study. Weighted univariate and multivariable Cox regression analyses were used to explore the associations of ePWV levels with 30-day mortality and 1-year mortality in SAH patients. The evaluation indexes were hazard ratios (HRs) and 95% confidence intervals (CIs). In addition, subgroup analyses of age, the sequential organ failure assessment (SOFA) score, surgery, atrial fibrillation (AF), renal failure (RF), hepatic diseases, chronic obstructive pulmonary disease (COPD), sepsis, hypertension, and diabetes mellitus (DM) were also performed., Results: Among 1,481 eligible patients, 339 died within 30 days and 435 died within 1 year. After adjusting for covariates, ePWV ≥ 12.10 was associated with higher risk of both 30-day mortality (HR = 1.77, 95%CI: 1.17-2.67) and 1-year mortality (HR = 1.97, 95%CI: 1.36-2.85), compared to ePWV < 10.12. The receiver operator characteristic (ROC) curves showed that compared to single SOFA score, ePWV combined with SOFA score had a relative superior predictive performance on both 30-day mortality and 1-year mortality, with the area under the curves (AUCs) of 0.740 vs. 0.664 and 0.754 vs. 0.658. This positive relationship between ePWV and mortality risk was also found in age ≥ 65 years old, SOFA score < 2, non-surgery, non-hepatic diseases, non-COPD, non-hypertension, non-DM, and sepsis subgroups., Conclusion: Baseline ePWV level may have potential prediction value on short- and long-term mortality in SAH patients. However, the application of ePWV in SAH prognosis needs further clarification., (© 2024. The Author(s).)

Objective: To construct and verify a risk prediction model for sleep disturbance in elderly patients with hypertension, aiming to offer guidance for sleep management in this demographic., Methods: A cohort of 6,708 elderly hypertensive patients from the NHANES database, spanning 2005 to 2018, met the inclusion criteria and were selected for this study. Participants were randomly assigned to a development group (n = 4,696) and a verification group (n = 2,012) in a 7:3 ratio. The occurrence of sleep disturbance was assessed across the subjects. Independent risk factors for sleep disturbance were analyzed using weighted multivariate logistic regression within the development group. A predictive model for sleep disturbance risk in elderly hypertensive patients was developed and verified using Stata 17.0. The model's predictive accuracy and stability were evaluated using the verification group's data., Results: Of the 6,708 subjects, 2,014 (30.02%) were identified with sleep disturbance, and the weighted prevalence of sleep disturbance among elderly hypertensive patients was 33.283%. Weighted multivariate logistic regression analysis in the development group revealed that six factors were independently associated with sleep disturbance: higher total depression scores, higher education level, asthma, overweight, arthritis, and work restriction (OR > 1 and P < 0.05). The area under the receiver operating characteristic (ROC) curve (AUC) for the nomogram prediction model was 0.709 in the development group and 0.707 in the verification group, indicating good discrimination ability. Brier scores for the nomogram model were 0.185 in the development group and 0.189 in the verification group, both below 0.25, suggesting good calibration. Decision Curve Analysis (DCA) determined that the nomogram's clinical net benefit was maximized when the threshold probability for sleep disturbance in elderly hypertensive patients was 0.13-0.67 in the development group and 0.14-0.61 in the verification group, highlighting the model's clinical utility., Limitations: This study is not without its limitations, including issues with data collection, the absence of external validation, and the non-extrapolation of results., Conclusion: The prevalence of sleep disturbance among elderly hypertensive patients stands at 33.283%. The nomogram model, based on identified risk factors for sleep disturbance in this population, has demonstrated good predictive efficiency and clinical relevance. It serves as a valuable tool to assist healthcare providers in identifying elderly hypertensive patients at high risk for sleep disturbance., (© 2024. The Author(s).)

Objectives: Temporal trends in comparative meta-analyses of interventions are well-recognized in the medical literature. For studies of diagnostic test accuracy (DTA), evidence of temporal trends is growing and the importance of assessing and reporting them has been highlighted in recent guidelines on postmarket surveillance in several jurisdictions. In this study, we evaluate the prevalence and patterns of time trends using a larger and more up-to-date set of DTA systematic reviews than has previously been examined, from the Cochrane Database of Systematic Reviews., Study Design and Setting: Cumulative meta-analysis was conducted on bivariate random effects meta-analysis estimates of sensitivity and specificity, after ranking studies by publication date. Trends for all studies were assessed graphically using plots of summary estimates by study rank, and using receiver operating characteristic plots of sensitivity vs specificity. Linear trends were also described using weighted linear regression with autocorrelated errors of summary estimates against study rank. Various patterns of nonlinear trends were characterized descriptively., Results: The analysis included 46 reviews (92 meta-analyses) conducted between 2017 and 2022. The total number of studies within all reviews was 1486, with a median (IQR) 7134 (2782-16,406) participants per review. Reviews had a median (IQR) time span of 19 (15-25) publication years. Time trends in at least 1 DTA measure were observed in 40 (87%) reviews, and statistically significant linear trends in 32 (70%) reviews. Nonlinear time trends were observed in 14 (30%) reviews. There was no evidence for a trend in either DTA measure in 6 (13%) reviews., Conclusion: The study contributes evidence on the variety in patterns of linear and nonlinear temporal DTA trends which has not previously been described. We recommended researchers check statistical assumptions of trend analysis methods, eg, using graphical methods. Further research into potential reasons for time trends could contribute to the robustness of future meta-analyses., Competing Interests: Declaration of competing interest T.R.F received funding from the National Institute for Health and Care Research Applied Research Collaboration Oxford and Thames Valley at Oxford Health NHS Foundation Trust. There are no competing interests for any other author., (Copyright © 2024 The Author(s). Published by Elsevier Inc. All rights reserved.)

Purpose: This retrospective study aimed to analyze anti-seizure medication (ASM) prescription trends in Japan, particularly among older adults and women of childbearing age, to inform future treatment strategies and optimize ASM selection criteria., Methods: Data were extracted from the National Database Open Data Japan for fiscal years (FY) 2018-2021, covering prescriptions across sex and 5-year age groups. We conducted data imputation for prescriptions under 1,000 units to maintain anonymity, calculated the estimated number of patients using standard adult maintenance doses, and adjusted for pediatric dosing using Augsberger's formula., Results: Our analysis revealed a 7.6% increase in ASM usage, with a notable shift from older to newer ASMs, such as levetiracetam (LEV) and lamotrigine (LTG). LEV and LTG prescriptions increased by 26.7% and 15.0% from FY 2018 to FY 2021, respectively, whereas older ASMs such as phenytoin, declined. Sex-specific analysis showed a higher LTG prescription rate among women, especially in adolescent and young adult cohorts, where the female-to-male prescription ratio increased from 1.65 to 1.85. Valproate (VPA) and LEV accounted for 57.0% of ASM prescriptions in older adults. The number of inpatient LTG prescriptions was notably lower than that of outpatient LTG prescriptions across age groups. Pediatric use of generics was lower than that in other age groups., Conclusion: This study revealed that newer ASMs are being used increasingly, with a significant proportion of VPA continuously prescribed among women of childbearing age. In older adults, VPA and LEV accounted for more than half of the ASM prescriptions. These findings are crucial for developing future treatment strategies and improving the ASM selection criteria., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Inc. All rights reserved.)

Objectives: Opioid availability for the palliative care of patients with advanced cancer is increasing globally. However, opioid availability remains extremely low in Japan. We investigated whether pain is appropriately controlled by low-dose opioid prescriptions in patients with advanced cancer in Japan., Methods: A web-based nationwide survey for caregivers from 2000 community comprehensive support care centers was performed in Japan to assess details about pain in the 30 days before patients died of end-stage cancer. Separately, the data for opioid prescription doses and medical services in the 90 days before the death of patients with cancer were extracted from a health insurance claim database., Results: Responses from 1034 responders were retrieved and 665 patients were included. In total, 254 patients (38.2%) complained of severe-to-intolerable cancer-related pain. The median cumulative prescription dose of opioids in the 90 days before patient death was 311.0 mg by oral morphine equivalent doses. Multiple regression analyses across prefectures revealed that the proportion of patients with severe-to-intolerable cancer-related pain was negatively associated with the cumulative opioid consumption expressed as morphine-equivalent doses within 90 days before death., Conclusions: The very low availability of opioids for patients with end-stage cancer could result in high rate of severe-to-intolerable cancer-related pain patients. There were several limitations in this study, and the interpretations of the findings should be carefully. However, the increase in the absolute dose of opioids could improve the palliative care framework to the pain control levels of the global standard., (© 2024 The Authors. Neuropsychopharmacology Reports published by John Wiley & Sons Australia, Ltd on behalf of The Japanese Society of Neuropsychopharmacology.)

Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Background: Bipolar disorder often emerges from depressive episodes and is initially diagnosed as depression. This study aimed to explore the effects of a prior depression diagnosis on outcomes in patients diagnosed with bipolar disorder., Methods: This cohort study analyzed data of patients aged 18-64 years who received a new bipolar disorder diagnosis in Japan, using medical claims data from January 2005 to October 2020 provided by JMDC, Inc. The index month was defined as the time of the bipolar diagnosis. The study assessed the incidence of psychiatric hospitalization, all-cause hospitalization, and mortality, stratified by the presence of a preceding depression diagnosis and its duration (≥1 or <1 year). Hazard ratios (HRs) and p-values were estimated using Cox proportional hazards models, adjusted for potential confounders, and supported by log-rank tests., Results: Of the 5595 patients analyzed, 2460 had a history of depression, with 1049 experiencing it for over a year and 1411 for less than a year. HRs for psychiatric hospitalization, all hospitalizations, and death in patients with a history of depression versus those without were 0.92 (95% CI = 0.78-1.08, p = 0.30), 0.87 (95% CI = 0.78-0.98, p = 0.017), and 0.61 (95% CI = 0.33-1.12, p = 0.11), respectively. In patients with preceding depression ≥1 year versus <1 year, HRs were 0.89 (95% CI = 0.67-1.19, p = 0.43) for psychiatric hospitalization, 0.85 (95% CI = 0.71-1.00, p = 0.052) for all hospitalizations, and 0.25 (95% CI = 0.07-0.89, p = 0.03) for death., Conclusion: A prior history and duration of depression may not elevate psychiatric hospitalization risk after bipolar disorder diagnosis and might even correlate with reduced hospitalization and mortality rates., (© 2024 The Author(s). Neuropsychopharmacology Reports published by John Wiley & Sons Australia, Ltd on behalf of The Japanese Society of Neuropsychopharmacology.)

Background and Objective: Pooled analyses of previous randomized controlled trials reported that antifibrotics improved survival in patients with idiopathic pulmonary fibrosis (IPF), but the results were only based on short-term outcome data from selected patients who met strict criteria. Observational studies/meta-analyses also suggested that antifibrotics improve survival, but these studies failed to control for immortal time bias that considerably exaggerates drug effects. Therefore, whether antifibrotics truly improve long-term survival in patients with IPF in the real world remains undetermined and requires external validity., Methods: We used data from the Japanese National Claims Database to estimate the intention-to-treat effect of antifibrotics on mortality. To address immortal time bias, we employed models treating antifibrotic initiation as a time-dependent covariate and target trial emulation (TTE), both incorporating new-user designs for antifibrotics and treating lung transplantation as a competing event., Results: Of 30,154 patients with IPF, 14,525 received antifibrotics. Multivariate Fine-Gray models with antifibrotic initiation as a time-dependent covariate revealed that compared with no treatment, nintedanib (adjusted hazard ratio [aHR], 0.85; 95% confidence interval [CI], 0.81-0.89) and pirfenidone (aHR, 0.89; 95% CI, 0.86-0.93) were associated with reduced mortality. The TTE model also replicated the associations of nintedanib (aHR, 0.69; 95% CI, 0.65-0.74) and pirfenidone (aHR, 0.81; 95% CI, 0.78-0.85) with reduced mortality. Subgroup analyses confirmed this association regardless of age, sex, and comorbidities, excluding certain subpopulations., Conclusions: The results of this large-scale real-world analysis support the generalizability of the association between antifibrotics and improved survival in various IPF populations., (© 2024. The Author(s).)

Background: Mitral valve disorder (MVD) stands as the most prevalent valvular heart disease. Presently, a comprehensive clinical index to predict mortality in MVD remains elusive. The aim of our study is to construct and assess a nomogram for predicting the 28-day mortality risk of MVD patients., Methods: Patients diagnosed with MVD were identified via ICD-9 code from the MIMIC-III database. Independent risk factors were identified utilizing the LASSO method and multivariate logistic regression to construct a nomogram model aimed at predicting the 28-day mortality risk. The nomogram's performance was assessed through various metrics including the area under the curve (AUC), calibration curves, Hosmer-Lemeshow test, integrated discriminant improvement (IDI), net reclassification improvement (NRI), and decision curve analysis (DCA)., Results: The study encompassed a total of 2771 patients diagnosed with MVD. Logistic regression analysis identified several independent risk factors: age, anion gap, creatinine, glucose, blood urea nitrogen level (BUN), urine output, systolic blood pressure (SBP), respiratory rate, saturation of peripheral oxygen (SpO 2 ), Glasgow Coma Scale score (GCS), and metastatic cancer. These factors were found to independently influence the 28-day mortality risk among patients with MVD. The calibration curve demonstrated adequate calibration of the nomogram. Furthermore, the nomogram exhibited favorable discrimination in both the training and validation cohorts. The calculations of IDI, NRI, and DCA analyses demonstrate that the nomogram model provides a greater net benefit compared to the Simplified Acute Physiology Score II (SAPSII), Acute Physiology Score III (APSIII), and Sequential Organ Failure Assessment (SOFA) scoring systems., Conclusion: This study successfully identified independent risk factors for 28-day mortality in patients with MVD. Additionally, a nomogram model was developed to predict mortality, offering potential assistance in enhancing the prognosis for MVD patients. It's helpful in persuading patients to receive early interventional catheterization treatment, for example, transcatheter mitral valve replacement (TMVR), transcatheter mitral valve implantation (TMVI)., (Copyright © 2024 Elsevier B.V. All rights reserved.)

The increasing use of neuroimaging in clinical research has driven the creation of many large imaging datasets. However, these datasets often rely on inconsistent naming conventions in image file headers to describe acquisition, and time-consuming manual curation is necessary. Therefore, we sought to automate the process of classifying and organizing magnetic resonance imaging (MRI) data according to acquisition types common to the clinical routine, as well as automate the transformation of raw, unstructured images into Brain Imaging Data Structure (BIDS) datasets. To do this, we trained an XGBoost model to classify MRI acquisition types using relatively few acquisition parameters that are automatically stored by the MRI scanner in image file metadata, which are then mapped to the naming conventions prescribed by BIDS to transform the input images to the BIDS structure. The model recognizes MRI types with 99.475% accuracy, as well as a micro/macro-averaged precision of 0.9995/0.994, a micro/macro-averaged recall of 0.9995/0.989, and a micro/macro-averaged F1 of 0.9995/0.991. Our approach accurately and quickly classifies MRI types and transforms unstructured data into standardized structures with little-to-no user intervention, reducing the barrier of entry for clinical scientists and increasing the accessibility of existing neuroimaging data., (© 2024. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)

Background: Dexmedetomidine (Dex), midazolam, and propofol are three distinct sedatives characterized by varying pharmacological properties. Previous literature has indicated the positive impact of each of these sedatives on ICU patients. However, there is a scarcity of clinical evidence comparing the efficacy of Dex, midazolam, and propofol in reducing mortality among people with epilepsy (PWE). This study aimed to assess the impact of Dex, midazolam, and propofol on the survival of PWE., Methods: The data were retrospectively retrieved from the Medical Information Mart for Intensive Care (MIMIC)-IV database (version 2.0). PWE were categorized into Dex, midazolam, and propofol groups based on the intravenously administered sedatives. PWE without standard drug therapy were included in the control group. Comparative analyses were performed on the data among the groups., Results: The Dex group exhibited a significantly lower proportion of in-hospital deaths and a markedly higher in-hospital survival time compared to the midazolam and propofol groups (p < 0.01) after propensity score matching. Kaplan-Meier curves demonstrated a significant improvement in survival rates for the Dex group compared to the control group (p = 0.025). Analysis of Variance (ANOVA) revealed no significant differences in survival rates among the Dex, midazolam, and propofol groups (F = 1.949, p = 0.143). The nomogram indicated that compared to midazolam and propofol groups, Dex was more effective in improving the survival rate of PWE., Conclusion: Dex might improve the survival rate of PWE in the ICU compared to no standard drug intervention. However, Dex did not exhibit superiority in improving survival rates compared to midazolam and propofol., (© 2024. The Author(s).)

Background: Ischemic stroke (IS) and malignant tumor (MT) have high morbidity and mortality rates worldwide, and several associations exist between them. This study aimed to determine the effect of MT on hospital mortality in patients with IS., Methods: Based on their MT status, participants with IS in the Medical Information Mart for Intensive Care IV (MIMIC-IV) were divided into two groups. The primary outcome was in-hospital all causes mortality. Kaplan-Meier survival analysis was performed to evaluate the intergroup in-hospital mortality, and three Cox regression models were used to determine the association between MT and in-hospital mortality., Results: A total of 1605 participants (749 males and 856 females) were included in the study. The mean age was 72.030 ± 15.463 years. Of these, 257 (16%) patients died in the hospital. Kaplan-Meier analysis showed that the MT group had a significantly lower possibility of in-hospital survival than the non-MT group. In the unadjusted model, in-hospital mortality among MT patients had a higher odds ratio (OR) of 1.905 (95% CI, 1.320-2.748; P < 0.001) than the non-MT group. After adjusting for basic information, vital signs, and laboratory data, MT was also associated with increased in-hospital mortality (OR = 1.844, 95% CI: 1.255-2.708; P = 0.002)., Conclusions: Among the patients with IS, the risk of all causes in-hospital mortality was higher for MT than for patients non-MT. This finding can assist clinicians in more accurately assessing prognosis and making informed treatment decisions., (© 2024. The Author(s).)

The growing concern of pediatric mortality demands heightened preparedness in clinical settings, especially within intensive care units (ICUs). As respiratory-related admissions account for a substantial portion of pediatric illnesses, there is a pressing need to predict ICU mortality in these cases. This study based on data from 1188 patients, addresses this imperative using machine learning techniques and investigating different class balancing methods for pediatric ICU mortality prediction. This study employs the publicly accessible "Paediatric Intensive Care database" to train, validate, and test a machine learning model for predicting pediatric patient mortality. Features were ranked using three machine learning feature selection techniques, namely Random Forest, Extra Trees, and XGBoost, resulting in the selection of 16 critical features from a total of 105 features. Ten machine learning models and ensemble techniques are used to make accurate mortality predictions. To tackle the inherent class imbalance in the dataset, we applied a unique data partitioning technique to enhance the model's alignment with the data distribution. The CatBoost machine learning model achieved an area under the curve (AUC) of 72.22%, while the stacking ensemble model yielded an AUC of 60.59% for mortality prediction. The proposed subdivision technique, on the other hand, provides a significant improvement in performance metrics, with an AUC of 85.2% and an accuracy of 89.32%. These findings emphasize the potential of machine learning in enhancing pediatric mortality prediction and inform strategies for improved ICU readiness., (© 2024. The Author(s).)

Firearm injuries in the U.S. pose a significant public health burden, but data on gunshot wounds (GSWs) specifically involving the spine are scarce. We examined epidemiological trends in GSWs to the spine and associated spinal cord injury (SCI) and mortality rates. This was a cross-sectional study of data from level I-III trauma centers in the U.S. participating in the American College of Surgeons National Trauma Data Bank (ACS NTDB) in 2015-2019. We identified adult and pediatric patients presenting with GSW and evaluated those with Abbreviated Injury Scale codes indicating spinal involvement and SCI. We assessed in-hospital mortality and GSW-related SCI. A total of 5,021,316 patients were enrolled in the ACS NTDB. Of the 107,233 patients (2.1% of total) presenting with GSW, 9023 (8.4%) patients had spine involvement. Overall rates of GSW and spinal GSW were similar across years. The most common cause of spinal GSW injury was assault (86.7%). The cervical spine was involved in 24.2% of patients, thoracic spine in 42.8%, and lumbar spine in 39.7%. Cervical SCI was present in 8.7% of all spinal GSW (35.7% of cervical GSW), thoracic SCI in 17.4% (40.6% of thoracic GSW), and lumbar SCI in 8.1% (20.3% of lumbar GSW). The mean patient age was 29.0 ± 12.2 years, 88.5% were male, 62.4% were black, 23.7% were white, and 13.9% were another race. Blood alcohol content was ≥0.08 in 12.1%, and illicit drugs were positive in 24.4%. In-hospital mortality was high in patients with spinal GSWs (8.1%), and mortality was significantly higher with cervical involvement (18.1%), cervical SCI (30.7%), or thoracic incomplete SCI (13.6%) on univariate analysis. On multi-variate analysis of age (excluding patients <16 years of age), sex, Injury Severity Score (ISS), complete SCI, and spinal area of involvement, only greater patient age (age 40-65 years: adjusted odds ratio [aOR] 1.52, 95% confidence interval [CI] 1.09-2.11, p  = 0.014; age >65 years: aOR 3.90, 95% CI 2.10-7.27, p  < 0.001) and higher ISS (ISS 9-15: aOR 6.65, 95% CI 2.38-18.54, p  < 0.001; ISS 16-24: aOR 18.13, 95% CI 6.65-49.44, p  < 0.001; ISS >24: aOR 68.44, 95% CI 25.39-184.46, p  < 0.001) were independently associated with in-hospital mortality risk after spinal GSW. These results demonstrate that spinal GSW is not uncommon and that older patients with more severe systemic injuries have higher in-hospital mortality risk.

The Electron Microscopy Data Bank (EMDB) is the global public archive of three-dimensional electron microscopy (3DEM) maps of biological specimens derived from transmission electron microscopy experiments. As of 2021, EMDB is managed by the Worldwide Protein Data Bank consortium (wwPDB; wwpdb.org) as a wwPDB Core Archive, and the EMDB team is a core member of the consortium. Today, EMDB houses over 30 000 entries with maps containing macromolecules, complexes, viruses, organelles and cells. Herein, we provide an overview of the rapidly growing EMDB archive, including its current holdings, recent updates, and future plans., (© The Author(s) 2023. Published by Oxford University Press on behalf of Nucleic Acids Research.)

Background: Breast cancer outcomes are poor in Nigeria, partly due to late-stage diagnosis. To assess the impact of past and present interventions, a review of an institutional data base was performed to determine the trend with respect to stage at diagnosis over a decade., Methods: A retrospective analysis of an institutional data base was performed over a decade. The review period was divided into segments (2013-2015, 2016-2018 and 2019-2022). The latter period (2019-2022), corresponds to a time of more intense community interventions aimed at promoting early diagnosis and treatment around the locality of the teaching hospital. The stage at diagnosis within these periods were compared. The relationship between stage and sociodemographic variables (age, religion, marital status, menopausal status, and level of education) was assessed., Results: There were 910 patients, 144 within the first period (2013-2015), 318 in the second (2016-2018) and 454 in the third period (2019-2022). The majority presented with stage 3 disease (73.8%). There was a significant decline in the proportion of metastatic cases and a concomitant increase in early cases in the latter part of the review. The proportion of metastatic cases reduced from 23.6% (2013-2015), to 15.7% (2016-2018) and 9.3% (2019-2022) (p=0.001). Level of education was significantly associated with stage (p=0.001)., Conclusion: This study shows a trend towards downstaging of breast cancer in our locality. This trend corresponds to the period of more intense community interventions, justifying the need to further interrogate the direct impact of each of the interventions. This will provide a firm basis for sustaining or improving on current efforts to achieve more robust gains., Competing Interests: The Authors declare that no competing interest exists, (Copyright © 2023 by West African Journal of Medicine.)

Background: Use of patient-reported outcomes (PROs) and patient and public engagement are critical ingredients of pragmatic trials, which are intended to be patient centered. Engagement of patients and members of the public in selecting the primary trial outcome and determining the target difference can better ensure that the trial is designed to inform the decisions of those who ultimately stand to benefit. However, to the best of our knowledge, the use and reporting of PROs and patient and public engagement in pragmatic trials have not been described. The objectives of this study were to review a sample of pragmatic trials to describe (1) the prevalence of reporting patient and public engagement; (2) the prevalence and types of PROs used; (3) how its use varies across trial characteristics; and (4) how sample sizes and target differences are determined for trials with primary PROs., Methods and Findings: This was a methodological review of primary reports of pragmatic trials. We used a published electronic search filter in MEDLINE to identify pragmatic trials, published in English between January 1, 2014 and April 3, 2019; we identified the subset that were registered in ClinicalTrials.gov and explicitly labeled as pragmatic. Trial descriptors were downloaded from ClinicalTrials.gov; information about PROs and sample size calculations were extracted from the manuscript. Chi-squared, Cochran-Armitage, and Wilcoxon rank sum tests were used to examine associations between trial characteristics and use of PROs. Among 4,337 identified primary trial reports, 1,988 were registered in CT.gov, of which 415 were explicitly labeled as pragmatic. Use of patient and public engagement was identified in 39 (9.4%). PROs were measured in 235 (56.6%): 144 (34.7%) used PROs as primary outcomes and 91 (21.9%) as only secondary outcomes. Primary PROs were symptoms (64; 44%), health behaviors (36; 25.0%), quality of life (17; 11.8%), functional status (16; 11.1%), and patient experience (10; 6.9%). Trial characteristics with lower prevalence of use of PROs included being conducted exclusively in children or adults over age 65 years, cluster randomization, recruitment in low- and middle-income countries, and primary purpose of prevention; trials conducted in Europe had the highest prevalence of PROs. For the 144 trials with a primary PRO, 117 (81.3%) reported a sample size calculation for that outcome; of these, 71 (60.7%) justified the choice of target difference, most commonly, using estimates from pilot studies (31; 26.5%), standardized effect sizes (20; 17.1%), or evidence reviews (16; 13.7%); patient or stakeholder opinions were used to justify the target difference in 8 (6.8%). Limitations of this study are the need for trials to be registered in ClinicalTrials.gov, which may have reduced generalizability, and extracting information only from the primary trial report., Conclusions: In this study, we observed that pragmatic trials rarely report patient and public engagement and do not commonly use PROs as primary outcomes. When provided, target differences are often not justified and rarely informed by patients and stakeholders. Research funders, scientific journals, and institutions should support trialists to incorporate patient engagement to fulfill the mandate of pragmatic trials to be patient centered., Competing Interests: The authors have declared that no competing interests exist.

Background: The association between race and perioperative outcomes has been evaluated in adult cardiac surgical and in healthy pediatric patients but has not been evaluated in children with congenital heart disease (CHD) presenting for noncardiac procedures. This study compares the incidence of the primary outcome of 30-day mortality and adverse postoperative outcomes following noncardiac surgery between Black and White children with CHD, stratified by severity., Methods: This is a retrospective study. Comparison of outcomes between Black and White children was performed using the 2012-2018 American College of Surgeons National Surgical Quality Improvement Program Pediatric database and after stratification for severity of CHD and propensity score matching., Results: A total of 55,859 patients were included, and divided into 28,601 minor, 23,839 major, and 3419 severe CHD. Black and White children in each category were matched and compared. Following matching in the overall CHD cohort, there were significantly higher rates of the following adverse postoperative outcomes among Black patients as compared to White patients: 30-day mortality (1.84% vs 1.49%; odds ratio [OR], 1.25; 95% confidence interval [CI], 1.05-1.48; P = .014), composite secondary outcomes (19.90% vs 17.88%; OR, 1.14; 95% CI, 1.08-1.21; P < .001), cardiac arrest (1.42% vs 0.98%; OR, 1.46; 95% CI, 1.19-1.79; P < .001), 30-day reoperation (7.59% vs 6.67%; OR, 1.15; 95% CI, 1.05-1.25; P = .002), and reintubation (3.9% vs 2.95%; OR, 1.34; 95% CI, 1.19-1.52; P < .001). No significant statistical interaction between race and CHD severity was found. Following matching and within the minor CHD cohort, Black children had significantly higher rates of composite secondary outcome (17.44% vs 15.60%; OR, 1.15; 95% CI, 1.05-1.25; P = .002), cardiac arrest (1.02% vs 0.53%; OR, 1.94; 95% CI, 1.37-2.76; P < .001), 30-day reoperation (7.19% vs 5.77%; OR, 1.26; 95% CI, 1.11-1.43; P < .001), and thromboembolic complications (0.49% vs 0.23%; OR, 2.17; 95% CI, 1.29-3.63; P = .003) compared to White children. In the major CHD cohort, Black children had significantly higher rates of 30-day mortality (2.75% vs 2.05%; OR, 1.35; 95% CI, 1.08-1.69; P = .008) and reintubation (4.82% vs 3.72%; OR, 1.32; 95% CI, 1.11-1.56; P = .002). There were no statistically significant differences in outcomes in the severe CHD category for 30-day mortality (3.36% vs 3.3%; OR, 1.02; 95% CI, 0.60-1.73; P = .946), composite secondary outcome (22.65% vs 21.36%; OR, 1.08; 95% CI, 0.86-1.36; P = .517) nor the components of the composite secondary outcomes., Conclusions: Race is associated with postoperative mortality and complications in children with minor and major CHD undergoing noncardiac surgery. No significant association was observed between race and postoperative outcomes in patients with severe CHD. This is consistent with previous findings wherein in patients with severe CHD, residual lesion burden and functional status is the leading predictor of outcomes following noncardiac surgery. Nevertheless, there is no evidence that the relationship between race and outcomes differs across the CHD severity categories. Future studies to understand the mechanisms leading to the racial difference, including institutional, clinical, and individual factors are needed., Competing Interests: The authors declare no conflicts of interest., (Copyright © 2021 International Anesthesia Research Society.)

Ferroptosis, an iron-dependent form of regulated cell death, has drawn an increasing amount of attention since it was first mentioned in 2012 and is found to play a significant role in the treatment of certain diseases. Our study is aimed at analysing the scientific output of ferroptosis research and at driving future research into novel publications. Publications focused on ferroptosis were retrieved from the SCI-EXPANDED database of the Web of Science Core Collection and were screened according to inclusion criteria. CiteSpace V and Microsoft Excel 2016 were used to evaluate and visualize the results, including generating network maps and analysing annual publications, country, category, references and cocited references, and keywords. As of October 1, 2021, a total of 1690 original articles related to ferroptosis were included, and the overall trend of the number of publications rapidly increased. Among the common categories in the field of ferroptosis, the most common category was biochemistry and molecular biology. Worldwide, China and the United States were the leading countries for research production. The retrieved 1690 publications received 44,650 citations, with an average of 26.42 citations per paper (October 1, 2021). By citation analysis, Scott J Dixon's article in 2012 was the most symbolic reference and the earliest publication in the field of ferroptosis, with the highest citation rate (2709 times). Among the most common keywords, most were related to the mechanisms and regulatory networks of ferroptosis. Furthermore, with accumulating evidence demonstrating the role of ferroptosis in cancers and other diseases, inducing ferroptosis in clinical treatment is becoming a new research focus that should be closely monitored., Competing Interests: The authors declare no conflicts of interest, financial, or otherwise., (Copyright © 2022 Xueting Dong et al.)

Objective: The optimal management of intraventricular metastases remains debatable. The aim of this study is to define the safety and efficacy of Gamma-Knife radiosurgery in the treatment of intraventricular metastases., Methods: This retrospective, single-center study involved patients that were treated with stereotactic radiosurgery (SRS) for intraventricular metastases. The study end points included SRS-related toxicity, local and distal intracranial tumor control, as well as the incidence of post-treatment hydrocephalus and leptomeningeal dissemination. Factors associated with radiologic and clinical outcomes were also analyzed., Results: The cohort included 17 consecutive patients who underwent stereotactic radiosurgery for treatment of 41 intracranial metastases, of which 23 were primary intraventricular (intraventricular metastasis). Median overall survival from primary tumor diagnosis and from SRS treatment were 28 and 5 months, respectively. With a median radiological follow-up of 3 (interquartile range 3) months, 7 patients (41.18%) experienced overall intracranial disease progression, whereas 7 (27.27%) intraventricular metastases progressed radiologically. Four (23.53%) and 3 (17.65%) patients developed hydrocephalus and leptomeningeal dissemination post-SRS, respectively. Four patients (23.53%) died due to intracranial disease progression., Conclusions: SRS offers a reasonable chance of local tumor control for patients with intraventricular brain metastasis. However, the risk of hydrocephalus and leptomeningeal spread of disease is not inconsequential and merits close follow-up for patients with brain metastasis involving the ventricular system., (Copyright © 2021 Elsevier Inc. All rights reserved.)

Background and Purpose: The occurrence of pneumonia after stroke is associated with a higher risk of poor outcome or death. We assessed the temporal profile of pneumonia after stroke and its association with poor outcome at several time points to identify the most optimal period for testing pneumonia prevention strategies., Methods: We analyzed individual patient data stored in the VISTA (Virtual International Stroke Trials Archive) from randomized acute stroke trials with an inclusion window up to 24 hours after stroke onset and assessed the occurrence of pneumonia in the first 90 days after stroke. Adjusted odds ratios and hazard ratios were calculated for the association between pneumonia and poor outcome and death by means of logistic and Cox proportional hazard regression, respectively, at different times of follow-up., Results: Of 10 821 patients, 1017 (9.4%) had a total of 1076 pneumonias. Six hundred eighty-nine (64.0%) pneumonias occurred in the first week after stroke. The peak incidence was on the third day and the median time of onset was 4.0 days after stroke (interquartile range, 2-12). The presence of a pneumonia was associated with an increased risk of poor outcome (adjusted odds ratio, 4.8 [95% CI, 3.8-6.1]) or death (adjusted hazard ratio, 4.1 [95% CI, 3.7-4.6]). These associations were present throughout the 90 days of follow-up., Conclusions: Two out of 3 pneumonias in the first 3 months after stroke occur in the first week, with a peak incidence on the third day. The most optimal period to assess pneumonia prevention strategies is the first 4 days after stroke. However, pneumonia occurring later was also associated with poor functional outcome or death.

Introduction: High-speed motor vehicle accidents (MVAs) are an important cause of brachial plexus injury (BPI). Some case reports have demonstrated shoulder seat belt use resulting in traction injuries to the brachial plexus. We used a national trauma registry to determine the association between seat belt use and brachial plexus injury in MVAs., Methods: The authors queried the National Trauma Databank between 2016 and 2017 for patients with a hospital admission following an MVA. Cases with BPI were identified using International Classification of Diseases, Tenth Edition, Clinical Modification, diagnosis codes. Case-control matching by age and sex was performed to identify 2 non-BPI controls for every case of BPI. Multivariable conditional logistic regression adjusting for body mass index, alcohol use, and drug use was then performed to determine the adjusted association between safety equipment use (seat belt use and airbag deployment) and BPI., Results: A total of 526,007 cases of MVAs were identified, of which 704 (0.13%) sustained a BPI. The incidences of BPI in patients were the following without any protective device (0.16%), with airbag deployment alone (0.08%), with seat belt use alone (0.08%), and with combined airbag deployment and seat belt use (0.07%). Following 1:2 case-control matching by age and sex and multivariable conditional logistic regression, seat belt use (odds ratio [OR] 0.55; 95% confidence interval [CI] 0.42-0.71; P < 0.001) and airbag deployment (OR 0.52; 95% CI 0.33-0.82; P = 0.004) were found to be associated with decreased odds for BPI, with the least odds observed with combined seat belt use and airbag deployment (OR 0.49; 95% CI 0.33-0.74; P = 0.001)., Conclusions: Despite anecdotal evidence suggesting increased likelihood of BPI with shoulder seat belt use, case-control analysis from a national trauma registry demonstrated that both seat belt use and airbag deployment are associated with lower odds of sustaining BPIs in MVAs, with the greatest protective effect observed with combined use. Future studies adjusting for rider location (passenger vs. driver) and other potential confounders such as make, type and speed of vehicle may help further characterize this association., (Copyright © 2021 Elsevier Inc. All rights reserved.)

Background and Purpose: Despite the lower rates of good outcomes and higher mortality in elderly patients, age does not modify the treatment effect of mechanical thrombectomy for large vessel occlusion strokes. We aimed to study whether racial background influences the outcome after mechanical thrombectomy in the elderly population., Methods: We reviewed a prospectively maintained database of patients with acute ischemic stroke treated with mechanical thrombectomy from October 2010 through June 2020 to identify all consecutive patients with age ≥80 years and anterior circulation large vessel occlusion strokes. The patients were categorized according to their race as Black and White. Univariable and multivariable analyses were performed to define the predictors of 90-day modified Rankin Scale and mortality in the overall population and in each race separately., Results: Among 2241 mechanical thrombectomy, a total of 344 patients (median [interquartile range]; age 85 [82-88] years, baseline National Institutes of Health Stroke Scale score of 19 [15-23], Alberta Stroke Program Early CT Score 9 [7-9], 69.5% females) were eligible for the analysis. White patients (n=251; 73%) had significantly lower median body mass index (25.37 versus 26.89, P =0.04) and less frequent hypertension (78.9% versus 90.3%, P =0.01) but more atrial fibrillation (64.5% versus 44.1%, P =0.001) compared with African Americans (n=93; 27%). Other clinical, imaging, and procedural characteristics were comparable between groups. The rates of symptomatic intracerebral hemorrhage, 90-day modified Rankin Scale score of 0 to 2, and mortality were comparable among both groups. On multivariable analysis, race was neither a predictor of 90-day modified Rankin Scale score of 0 to 2 (White race: odds ratio, 0.899 [95% CI, 0.409-1.974], P =0.79) nor 90-day mortality (White race: odds ratio, 1.368; [95% CI, 0.715-2.618], P =0.34)., Conclusions: In elderly patients undergoing mechanical thrombectomy for acute ischemic stroke, there was no racial difference in terms of outcome.

Background: The harmful effect of diabetes mellitus (DM) on mortality in patients with acute myocardial infarction (AMI) remains controversial. Furthermore, few studies focused on critical AMI patients. We aimed to address whether DM increases short- and long-term mortality in this specific population., Methods: We analyzed AMI patients admitted into coronary care unit (CCU) with follow-up of ≥1 year from two cohorts (MIMIC-III, Medical Information Mart for Intensive Care III; CIN, Cardiorenal ImprovemeNt Registry) in the United States and China. Main outcome was mortality at 30-day and 1-year following hospitalization. Kaplan-Meier curves and Cox proportional hazards models were constructed to examine the impact of DM on mortality in critical AMI patients., Results: 1774 critical AMI patients (mean age 69.3 ± 14.3 years, 46.1% had DM) were included from MIMIC-III and 3380 from the CIN cohort (mean age 62.2 ± 12.2 years, 29.3% had DM). In both cohorts, DM group was older and more prevalent in cardio-renal dysfunction than non-DM group. Controlling for confounders, DM group has a significantly higher 30-day mortality (adjusted odds ratio (aOR) (95% CI): 2.71 (1.99-3.73) in MIMIC-III; aOR (95% CI): 9.89 (5.81-17.87) in CIN), and increased 1-year mortality (adjusted hazard ratio (aHR) (95% CI): 1.91 (1.56-2.35) in MIMIC-III; aHR (95% CI): 2.62(1.99-3.45) in CIN) than non-DM group., Conclusions: Taking into account cardio-renal function, critical AMI patients with DM have a higher 30-day mortality and 1-year mortality than non-DM group in both cohorts. Further studies on prevention and management strategies for DM are needed for this population., Clinical Trial Registration: clinicaltrials.gov, NCT04407936., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2021 Chen, Huang, Chen, Zhao, Kang, Lai, Lu, Zhou, He, Huang, Li, Liu, Liang, Dong, Tan, Liu and Chen.)

Although cerebral palsy (CP), which affects the quality of life of many children and their families, is the most common cause of motor dysfunction in children, no comprehensive bibliometric study has holistically evaluated the publications on CP. This study aimed to analyze the scientific outputs published on CP in pediatrics research between 1980 and 2019 using bibliometric and statistical methods, and reveal new study trends in this field. The literature search was performed in the Web of Science database using the keyword cerebral palsy in the title section of the articles published only in the pediatrics research field. Four-thousand seventy-five publications were obtained in the field of pediatrics research on CP, 3027 of which were articles. We shared abstract information of 3027 articles published between 1980 and 2019 with this comprehensive bibliometric study, which will be a useful guide for physicians and scientists on the global outcomes of CP, and we discussed new trends in this topic. We think that comprehensive bibliometric analyzes on subjects that we frequently encounter in clinics and which are widely researched will contribute to the field., (© 2020. Belgian Neurological Society.)

Objective of research is to improve the electronic database of WBC measurements dated 1986 by inputting of newinformation from paper carriers, reconstruction of information gaps, verification and analysis of new entered data,revision of internal exposure doses that are based on results of WBC measurements dated 1986., Materials and Methods: In 2013-2015 during a revision of databases (DB) of WBC measurements results dated1986-2014, it was discovered a great amount of paper carriers with information about WBC measurements, includ-ing the ones dated 1986, that were not inputted to the electronic DB. The paper carriers were systematized andordered by the following indicators: place of residence of a person and place of WBC measurement, institution andoperator that made the measurement, measurement device and date of measurement. For a comfortable inputtingof the information to the electronic DB, it was additionally created a form which exists as an option in existing program complex Silbody (Version 19.0.9). In the revised DB of WBC measurements dated 1986 internal exposure dosesfrom radio-cesium of Chornobyl origin were computed based on an ecological and dosimetric model for radio-cesiummigration in environment and a model for radio-cesium metabolism in human body. In the work, mathematical andstatistical methods of research were used., Results: In 2019-2021 additionally 35,319 notes were inputted to the electronic DB of WBC measurement dated1986, and as a result its volume increased in 2.2 times. Mostly those are data on results concerning residents of Kyiv,Zhytomyr, Donetsk, Cherkasy, Odessa, Ivano-Frankivsk, and Rivne Oblasts. It was established the information onmeasurement devices and respectively on the minimal detected activity (MDA) for 27,119 notes (76.7 % of all newentered). Information is reconstructed about the body mass of all persons under investigation. Evaluation is madefor values of intake of incorporated radionuclides 137Cs and 134Cs for all new entered to DB. Quality of reconstructedinformation was analyzed. To group 1, «qualitative», it was classified 18,598 notes (53 % of all new entered), measurements in 1986 (including new entered). Dose not exceeding 1 mSv was obtained by 80 % of adults (older than20), as well as 73 % of persons younger than 20., Conclusion: To DB of WBC measurements, it was additionally inputted 35,319 notes on results of measurementsdated 1986. New entered information is verified and distributed by the quality groups. Individual exposure dosesevaluated based on those data can be used for further scientific research., (M. S. Kuriata, V. V. Vasylenko, O. M. Ivanova, M. S. Kramarenko, L. O. Lytvynets, V. V. Morozov, L. P. Misсhenko, Z. N. Boiko, V. B. Buderatska, M. I. Chepurny, A. G. Kukush.)

Background and Aims: In recent decades, modeling and forecasting have played a significant role in the diagnosis and treatment of different diseases. Various forecasting models have been developed to improve data-based decision-making processes in medical systems. Although these models differ in many aspects, they all originate from the assumption that more generalizable results are achieved by more accurate models. This means that accuracy is considered as the only prominent feature to evaluate the generalizability of forecasting models. On the other side, due to the changeable medical situations and even changeable models' results, making stable and reliable performance is necessary to adopt appropriate medical decisions. Hence, reliability and stability of models' performance is another effective factor on the model's generalizability that should be taken into consideration in developing medical forecasting models., Methods: In this paper, a new reliability-based forecasting approach is developed to address this gap and achieve more consistent performance in making medical predictions. The proposed approach is implemented on the classic regression model which is a common accuracy-based statistical method in medical fields. To evaluate the effectiveness of the proposed model, it has been performed by using two medical benchmark datasets from UCI and obtained results are compared with the classic regression model., Results: Empirical results show that the proposed model has outperformed the classic regression model in terms of error criteria such as MSE and MAE. So, the presented model can be utilized as an appropriate alternative for the traditional regression model in making effective medical decisions., Conclusions: Based on the obtained results, the proposed model can be an appropriate alternative for traditional multiple linear regression for modeling in real-world applications, especially when more generalization and/or more reliability is needed., Competing Interests: Declaration of interests The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2021 Diabetes India. Published by Elsevier Ltd. All rights reserved.)

Objective: To elucidate risk factors for 90-day readmission in anterior cervical discectomy and fusion (ACDF) for small, medium, and large hospitals. To assess differences in length of stay, charges, and complication rates across hospitals of different size., Methods: A retrospective analysis was performed using elective, single-level ACDF data from 2016 to 2018 in the Healthcare Cost and Utilization Project Nationwide Readmissions Database. Elective single-level ACDF cases were stratified into 3 groups by hospital bed size (small, medium, and large). All-cause complication rates, mean charges, length of stay, and 90-day readmission rates were compared across hospital size. Frequencies of specific comorbidities were compared between readmitted and nonreadmitted patients for each hospital size. Comorbidities significant on univariate analysis were evaluated as independent risk factors for 90-day readmission for each hospital size using multivariate regression., Results: The overall 90-day readmission rate was 6.43% in 36,794 patients, and the rates for small, medium, and large hospitals were 6.25%, 6.28%, and 6.56%, respectively (P = 0.537). Length of stay increased significantly with hospital size (P < 0.001), and small hospitals had the lowest charges (P < 0.001). Although different independent predictors of 90-day readmission were identified for each hospital size, cardiac arrhythmia, chronic pulmonary disease, neurologic disorders, and rheumatic disease were identified as risk factors for hospitals of all sizes., Conclusions: Hospital size is a determining factor for charges and length of stay associated with elective single-level ACDF. Variation in risk factors for readmission exists across hospital size in context of similar 90-day readmission rates., (Copyright © 2021 Elsevier Inc. All rights reserved.)

Essential oils (EOs) absorbed via inhalation are consistently reported to produce anxiolytic effects. The underlying neurochemical mechanisms, however, are not well understood. High concentrations of ascorbate in the human brain (~10 mM in neurons) implicates this compound as a key signaling molecule and regulator of oxidative stress. In this study, we demonstrate the significant in vitro capacity of ascorbate to produce H 2 O 2 in the presence of oxygen at physiological pH values, peaking at ~400 μM for ascorbate levels of 1.0 mg/mL (5.6 mM). In comparison, individual EOs and selected neurotransmitters at similar concentrations produced <100 μM H 2 O 2 . Systematic studies with binary and ternary mixtures containing ascorbate indicated that EOs and neurotransmitters could variably enhance (pro-oxidant, POX) or suppress (anti-oxidant, AOX) the production of H 2 O 2 versus the ascorbate control, depending on the concentration ratios of the components in the mixture. Moreover, the AOX/POX chemistry observed with binary mixtures did not necessarily predict effects with ternary mixtures, where the POX ascorbate chemistry tended to dominate. A model is proposed to account for the ability of compounds with electron-donating capacity to catalytically regenerate ascorbate from intermediate oxidized forms of ascorbate, thus driving H 2 O 2 production and exerting a net POX effect; whilst compounds that irreversibly reacted with oxidized forms of ascorbate suppressed the production of H 2 O 2 and produced an overall AOX effect. Since the anxiolytic effects of different EOs, including extracts of Lavendula angustifolia (lavender) and Salvia rosmarinus (rosemary), were associated with AOX regulation of H 2 O 2 production by ascorbate, it can be concluded that these anxiolytic effects are potentially related to the AOX properties of EOs. In contrast, EOs driving POX effects (eg, Junipenus communis (Juniper) berry EO) are proposed to be more useful for their potential anti-microbial or cancer cytotoxic applications., (Copyright © 2021 Elsevier Ltd. All rights reserved.)

Objective: The importance of environmental factors (especially leptospirosis) of moyamoya disease (MMD) has not been clarified. Here we investigated the epidemiological characteristics of MMD in Hubei province, China., Methods: We conducted a population-based study to describe the epidemiologic characteristics of MMD in Hubei province between 2017 and 2019. The regional clusters of the hot spots (high incidence) and cold spots (low incidence) of MMD were identified using the spatial statistical method. To evaluate the role of leptospirosis in MMD, we performed an ecological comparison study to evaluate whether the socioeconomic and environmental variables of hot spots are more suitable for leptospirosis spread., Results: The average annual sex and age adjusted incidence of MMD was 3.07 per 100,000 person-years from 2017 to 2019. The middle-aged had apparently higher incidence of MMD than the children. There existed an obvious geographic distribution difference of MMD at county level. The hot spots were identified mainly in the low mountainous and hilly terrain, while cold spots were located in the Jianghan Plains. Compared to cold spots, the hot spots had larger cattle density (32.0 vs 3.1, p = 0.002), higher percentages of rice field (85.6% vs 47.0%, p = 0.007), and lower elevation (33.6 vs 157.4, p < 0.001) CONCLUSIONS: There exists geographic distribution difference of MMD in Hubei province and was likely to be caused by leptospirosis in the early years. The MMD in China is dominant by middle-aged adults, which might be driven from leptospirosis outbreaks in the last century., (Copyright © 2021 Elsevier B.V. All rights reserved.)

Diffusion weighted imaging (DWI) is a widely recognized neuroimaging technique to evaluate the microstructure of brain white matter. The objective of this study is to establish an improved automated DWI marker for estimating white matter integrity and investigating ageing related cognitive decline. The concept of Wasserstein distance was introduced to help establish a new measure: difference in distribution functions (DDF), which captures the difference of reshaping one's mean diffusivity (MD) distribution to a reference MD distribution. This new DWI measure was developed using a population-based cohort (n=19,369) from the UK Biobank. Validation was conducted using the data drawn from two independent cohorts: the Sydney Memory and Ageing Study, a community-dwelling sample (n=402), and the Renji Cerebral Small Vessel Disease Cohort Study (RCCS), which consisted of cerebral small vessel disease (CSVD) patients (n=171) and cognitively normal controls (NC) (n=43). DDF was associated with age across all three samples and better explained the variance of changes than other established DWI measures, such as fractional anisotropy, mean diffusivity and peak width of skeletonized mean diffusivity (PSMD). Significant correlations between DDF and cognition were found in the UK Biobank cohort and the MAS cohort. Binary logistic analysis and receiver operator characteristic curve analysis of RCCS demonstrated that DDF had higher sensitivity in distinguishing CSVD patients from NC than the other DWI measures. To demonstrate the flexibility of DDF, we calculated regional DDF which also showed significant correlation with age and cognition. DDF can be used as a marker for monitoring the white matter microstructural changes and ageing related cognitive decline in the elderly., Competing Interests: Declaration of Competing Interest The authors declare no conflict of interest., (Copyright © 2021. Published by Elsevier Inc.)

We present an intensive study on the weight modulation and charge trapping mechanisms of the synaptic transistor based on a pass-transistor concept for the direct voltage output. In this article, the pass-transistor concept for a metal-oxide-semiconductor field-effect transistor is employed to a synaptic transistor with a charge trapping layer, which is named a synaptic pass transistor (SPT). Based on this SPT concept, the voltage signal would be provided at the output terminal directly without requiring a complicated circuitry, whereas the conventional synaptic transistor with the current output needs a conversion circuit. For the SPT, the definition of the synaptic weight as a transfer efficiency and operation principles of the SPT with charge-trapping mechanisms is analyzed theoretically. The respective semiconductor device simulation results, such as synaptic output and weight modulations as a function of time for a synaptic depression and facilitation, are presented with detailed analysis. Also, it is shown that an SPT array configuration can perform a synaptic scaling by itself, i.e., a self-normalization of the weight, which is confirmed with the simulation results of learning a simple classification example. Moreover, to verify the potential usage of the SPT array as an analog artificial intelligence accelerator, a classification task for a standard data set, e.g., Modified National Institute of Standards and Technology database (MNIST), is also tested by monitoring the accuracy. Finally, it is found that SPTs proposed here can exhibit low power consumption at a device level as well as sufficient accuracy at the array level while more closely mimicking the biological synapse.

Background: Diabetic ketoacidosis (DKA) has been reported to be increasing in frequency during the COVID-19 pandemic. We aimed to examine the rates of DKA hospital admissions and the patient demographics associated with DKA during the pandemic compared with in prepandemic years., Methods: Using a comprehensive, multiethnic, national dataset, the Secondary Uses Service repository, we extracted all emergency hospital admissions in England coded with DKA from March 1 to June 30, 2020 (first wave of the pandemic), July 1 to Oct 31, 2020 (post-first wave), and Nov 1, 2020, to Feb 28, 2021 (second wave), and compared these with DKA admissions in the equivalent periods in 2017-20. We also examined baseline characteristics, mortality, and trends in patients who were admitted with DKA., Findings: There were 8553 admissions coded with DKA during the first wave, 8729 during the post-first wave, and 10 235 during the second wave. Compared with preceding years, DKA admissions were 6% (95% CI 4-9; p<0·0001) higher in the first wave of the pandemic (from n=8048), 6% (3-8; p<0·0001) higher in the post-first wave (from n=8260), and 7% (4-9; p<0·0001) higher in the second wave (from n=9610). In the first wave, DKA admissions reduced by 19% (95% CI 16-21) in those with pre-existing type 1 diabetes (from n=4965 to n=4041), increased by 41% (35-47) in those with pre-existing type 2 diabetes (from n=2010 to n=2831), and increased by 57% (48-66) in those with newly diagnosed diabetes (from n=1072 to n=1681). Compared with prepandemic, type 2 diabetes DKA admissions were similarly common in older individuals and men but were higher in those of non-White ethnicities during the first wave. The increase in newly diagnosed DKA admissions occurred across all age groups and these were significantly increased in men and people of non-White ethnicities. In the post-first wave, DKA admissions did not return to the baseline level of previous years; DKA admissions were 14% (11-17) lower in patients with type 1 diabetes (from n=5208 prepandemic to n=4491), 30% (24-36) higher in patients with type 2 diabetes (from n=2011 to n=2613), and 56% (47-66) higher in patients with newly diagnosed diabetes (from n=1041 to n=1625). During the second wave, DKA admissions were 25% (22-27) lower in patients with type 1 diabetes (from n=5769 prepandemic to n=4337), 50% (44-56) higher in patients with type 2 diabetes (from n=2608 to n=3912), and 61% (52-70) higher in patients with newly diagnosed diabetes (from n=1234 to n=1986)., Interpretation: Our results provide evidence for differences in the numbers and characteristics of people presenting with DKA during the COVID-19 pandemic compared with in the preceding 3 years. Greater awareness of risk factors for DKA in type 2 diabetes and vigilance for newly diagnosed diabetes presenting with DKA during the COVID-19 pandemic might help mitigate the increased impact of DKA., Funding: None., Competing Interests: Declaration of interests SM, EB, PK, BY, KK, and JV are members of clinical advisory groups to the NDA. SM is a trustee of the Diabetes Research and Wellness Foundation and has a grant in support of an investigator-initiated study from DexCom. PK, BY, KK, and JV are members of the NDA research committee. ST has received honoraria for speaking from Lilly and Sanofi-Aventis. KD has received honoraria for speaking and travel grants from Novo Nordisk, Sanofi-Aventis, Lilly, and Boehringer Ingelheim, and consulting fees from Sanofi-Aventis; is Chair of the Joint British Diabetes Societies for Inpatient Care; and is committee member of the Association of British Clinical Diabetologists. PK is National Specialty Adviser for Diabetes and Obesity at NHS England and NHS Improvement. BY is clinical lead for the NDA and a trustee of Diabetes UK. KK has been a consultant and speaker for Novartis, Novo Nordisk, Sanofi-Aventis, Lilly, and Merck Sharp & Dohme; has received grants in support of investigator-initiated studies from Novartis, Novo Nordisk, Sanofi-Aventis, Lilly, Merck Sharp & Dohme, Pfizer, and Boehringer Ingelheim; has served on advisory boards for Novo Nordisk, Sanofi-Aventis, Lilly, and Merck Sharp & Dohme; and is Chair of the Ethnicity Subgroup of Scientific Advisory Group for Emergencies (SAGE) and member of SAGE. JV is the National Clinical Director for Diabetes and Obesity at NHS England and NHS Improvement. EV declares no competing interests., (Copyright © 2021 Elsevier Ltd. All rights reserved.)

Background: A trend towards inverse stage migration in prostate cancer (PCa) was reported. However, previous analyses did not take into account potential differences in sampling strategies (number of biopsy cores), which might have confounded these reports., Material and Methods: Within our single-institutional database we identified PCa patients treated with radical prostatectomy (RP) between 2000 and 2020 (n = 21,646). We calculated the estimated annual percentage change (EAPC) for D'Amico risk groups, biopsy Gleason Grade Group (GGG), PSA and cT stage as well as postoperative RP GGG and pT stage relying on log linear regression methodology. Subsequently, we repeated the analyses after adjustment for number of cores obtained at biopsy., Results: Absolute rates of D'Amico low risk decreased (-30.1%), while intermediate and high risk increased (+21.2% and +9.0%, respectively). Rates of GGG I decreased (-50.0%), while GGG II-V increased, with the largest increase in GGG II (+22.5%). This trend, albeit less pronounced, was also recorded after adjusted EAPC analyses (p < .05). Specifically, EAPC values for D'Amico low vs intermediate vs high risk were -1.07%, +0.37%, +0.45%, respectively, and EAPC values for GGG ranged between -0.71% (GGG I) and +0.80% (GGG IV). Finally, an increase in ≥cT2 (EAPC: +3.16%) was displayed (all p < .001). These trends were confirmed in EAPC calculations in RP GGG and pT stages (p < .001)., Conclusion: Our findings confirm the trend towards less frequent treatment of low risk PCa and more frequent treatment of high risk PCa, also after adjustment for number of biopsy cores., (© 2021 The Authors. The Prostate Published by Wiley Periodicals LLC.)

Many high quality studies have emerged from public databases, such as Surveillance, Epidemiology, and End Results (SEER), National Health and Nutrition Examination Survey (NHANES), The Cancer Genome Atlas (TCGA), and Medical Information Mart for Intensive Care (MIMIC); however, these data are often characterized by a high degree of dimensional heterogeneity, timeliness, scarcity, irregularity, and other characteristics, resulting in the value of these data not being fully utilized. Data-mining technology has been a frontier field in medical research, as it demonstrates excellent performance in evaluating patient risks and assisting clinical decision-making in building disease-prediction models. Therefore, data mining has unique advantages in clinical big-data research, especially in large-scale medical public databases. This article introduced the main medical public database and described the steps, tasks, and models of data mining in simple language. Additionally, we described data-mining methods along with their practical applications. The goal of this work was to aid clinical researchers in gaining a clear and intuitive understanding of the application of data-mining technology on clinical big-data in order to promote the production of research results that are beneficial to doctors and patients., (© 2021. The Author(s).)

Introduction and Objective: Administrative databases (AD) provide investigators with nationally representative study populations to answer research questions using large sample sizes. We aimed to quantify the trends and incidence of AD use in published manuscripts in urologic oncology. We examined 6 commonly used databases: National Cancer Database, surveillance, epidemiology, and end results database (SEER), SEER-Medicare, Nationwide Inpatient Sample, National Surgical Quality Improvement Program, and Premier Healthcare Database., Methods: A literature review, powered by PubMed and DistillerSR, aggregated manuscripts that used the aforementioned databases to study a genitourinary malignancy between July 1, 2000 through June 30, 2019. Included publications were categorized by database used, corresponding author department affiliation, organ, journal, year, and contribution - defined as temporal treatment trends, outcomes and survival, comparative effectiveness research, or cost-effectiveness., Results: There were 2,265 publications across 302 journals that met the inclusion criteria. Between 2000 and 2019 the compound annual growth rate of these publications was 18.7%. SEER use grew at a rate of 14.6% annually. National Cancer Database use grew 28.2% annually. Prostate cancer comprised the majority of publications (51.3%), followed by kidney (23.1%) and bladder (22.5%) cancer. Journals publishing these manuscripts had a median impact factor of 3.28 (IQR = 1.84-5.74) in 2019. Urologists published 52.5% of AD manuscripts over the study period., Conclusions: Our results show substantial growth in the use of ADs for the study of urologic oncology. Given the broad use of ADs, investigators and specialty societies should advocate for continued improvement in the data captured by them., Competing Interests: Conflict of interest None., (Copyright © 2021 Elsevier Inc. All rights reserved.)

Background: Whether acute respiratory failure in patients with interstitial lung disease is reversible remains uncertain. Consequently, indications for extracorporeal membrane oxygenation in these patients are still controversial, except as a bridge to lung transplantation. The objective of this study was to clarify in-hospital mortality and prognostic factors in interstitial lung disease patients undergoing extracorporeal membrane oxygenation., Methods: In this case-control study using the Japanese Diagnosis Procedure Combination database, hospitalized interstitial lung disease patients receiving invasive mechanical ventilation and extracorporeal membrane oxygenation from 2010 to 2017 were reviewed. Patients' characteristics and treatment regimens were compared between survivors and non-survivors to identify prognostic factors. To avoid selection biases, patients treated with extracorporeal membrane oxygenation as a bridge to lung transplantation were excluded., Results: A total of 164 interstitial lung disease patients receiving extracorporeal membrane oxygenation were included. Their in-hospital mortality was 74.4% (122/164). Compared with survivors, non-survivors were older and received high-dose cyclophosphamide, protease inhibitors, and antifungal drugs more frequently, but macrolides and anti-influenza drugs less frequently. On multivariate analysis, the following factors were associated with in-hospital mortality: advanced age (odds ratio [OR] 1.043; 95% confidence interval [CI] 1.009-1.078), non-use of macrolides (OR 0.305; 95% CI 0.134-0.698), and use of antifungal drugs (OR 2.416; 95% CI 1.025-5.696)., Conclusions: Approximately three-quarters of interstitial lung disease patients undergoing extracorporeal membrane oxygenation died in hospital. Moreover, advanced age, non-use of macrolides, and use of antifungal drugs were found to correlate with a poor prognosis., (© 2021. The Author(s).)

Until 2010, the National Assisted Reproductive Technology Surveillance System (NASS) report, published annually by the Center for Disease Control and Prevention (CDC), demonstrated almost constantly improving live birth rates following fresh non-donor (fnd) in vitro fertilization (IVF) cycles. Almost unnoticed by profession and public, by 2016 they, however, reached lows not seen since 1996-1997. We here attempted to understand underlying causes for this decline. This study used publicly available IVF outcome data, reported by the CDC annually under Congressional mandate, involving over 90% of U.S. IVF centers and over 95% of U.S. IVF cycles. Years 2005, 2010, 2015 and 2016 served as index years, representing respectively, 27,047, 30,425, 21,771 and 19,137 live births in fnd IVF cycles. Concomitantly, the study associated timelines for introduction of new add-ons to IVF practice with changes in outcomes of fnd IVF cycles. Median female age remained at 36.0 years during the study period and center participation was surprisingly stable, thereby confirming reasonable phenotype stability. Main outcome measures were associations of specific IVF practice changes with declines in live IVF birth rates. Time associations were observed with increased utilization of "all-freeze" cycles (embryo banking), mild ovarian stimulation protocols, preimplantation genetic testing for aneuploidy (PGT-A) and increasing utilization of elective single embryo transfer (eSET). Among all add-ons, PGT-A, likely, affected fndIVF most profoundly. Though associations cannot denote causation, they can be hypothesis-generating. Here presented time-associations are compelling, though some of observed pregnancy and live birth loss may have been compensated by increases in frozen-thawed cycles and consequential pregnancies and live births not shown here. Pregnancies in frozen-thawed cycles, however, represent additional treatment cycles, time delays and additional costs. IVF live birth rates not seen since 1996-1997, and a likely continuous downward trend in U.S. IVF outcomes, therefore, mandate a reversal of current outcome trends, whatever ultimately the causes., (© 2021. The Author(s).)

Purpose: To report historical patterns of pharmaceutical expenditures, to identify factors that may influence future spending, and to predict growth in drug spending in 2021 in the United States, with a focus on the nonfederal hospital and clinic sectors., Methods: Historical patterns were assessed by examining data on drug purchases from manufacturers using the IQVIA National Sales Perspectives database. Factors that may influence drug spending in hospitals and clinics in 2021 were reviewed-including new drug approvals, patent expirations, and potential new policies or legislation. Focused analyses were conducted for biosimilars, cancer drugs, generics, coronavirus disease 2019 (COVID-19) pandemic influence, and specialty drugs. For nonfederal hospitals, clinics, and overall (all sectors), estimates of growth of pharmaceutical expenditures in 2021 were based on a combination of quantitative analyses and expert opinion., Results: In 2020, overall pharmaceutical expenditures in the United States grew 4.9% compared to 2019, for a total of $535.3 billion. Utilization (a 2.9% increase) and new drugs (a 1.8% increase) drove this increase, with price changes having minimal influence (a 0.3% increase). Adalimumab was the top drug in 2020, followed by apixaban and insulin glargine. Drug expenditures were $35.3 billion (a 4.6% decrease) and $98.4 billion (an 8.1% increase) in nonfederal hospitals and clinics, respectively. In clinics, growth was driven by new products and increased utilization, whereas in hospitals the decrease in expenditures was driven by reduced utilization. Several new drugs that will influence spending are expected to be approved in 2021. Specialty and cancer drugs will continue to drive expenditures along with the evolution of the COVID-19 pandemic., Conclusion: For 2021, we expect overall prescription drug spending to rise by 4% to 6%, whereas in clinics and hospitals we anticipate increases of 7% to 9% and 3% to 5%, respectively, compared to 2020. These national estimates of future pharmaceutical expenditure growth may not be representative of any particular health system because of the myriad of local factors that influence actual spending., (© American Society of Health-System Pharmacists 2021. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Unsupervised anomaly discovery in stream data is a research topic with many practical applications. However, in many cases, it is not easy to collect enough training data with labeled anomalies for supervised learning of an anomaly detector in order to deploy it later for identification of real anomalies in streaming data. It is thus important to design anomalies detectors that can correctly detect anomalies without access to labeled training data. Our idea is to adapt the Online evolving Spiking Neural Network (OeSNN) classifier to the anomaly detection task. As a result, we offer an Online evolving Spiking Neural Network for Unsupervised Anomaly Detection algorithm (OeSNN-UAD), which, unlike OeSNN, works in an unsupervised way and does not separate output neurons into disjoint decision classes. OeSNN-UAD uses our proposed new two-step anomaly detection method. Also, we derive new theoretical properties of neuronal model and input layer encoding of OeSNN, which enable more effective and efficient detection of anomalies in our OeSNN-UAD approach. The proposed OeSNN-UAD detector was experimentally compared with state-of-the-art unsupervised and semi-supervised detectors of anomalies in stream data from the Numenta Anomaly Benchmark and Yahoo Anomaly Datasets repositories. Our approach outperforms the other solutions provided in the literature in the case of data streams from the Numenta Anomaly Benchmark repository. Also, in the case of real data files of the Yahoo Anomaly Benchmark repository, OeSNN-UAD outperforms other selected algorithms, whereas in the case of Yahoo Anomaly Benchmark synthetic data files, it provides competitive results to the results recently reported in the literature., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2021 The Author(s). Published by Elsevier Ltd.. All rights reserved.)

Background: Intracranial hemorrhage (including subarachnoid hemorrhage [SAH]) has been reported in 0.3%-1.2% of patients with coronavirus disease 2019 (COVID-19). However, no study has evaluated the risk of SAH in patients with COVID-19., Methods: We analyzed data from 62 health care facilities using the Cerner de-identified COVID-19 dataset., Results: There were 86 (0.1%) and 376 (0.2%) patients with SAH among 85,645 patients with COVID-19 and 197,073 patients without COVID-19, respectively. In the multivariate model, there was a lower risk of SAH in patients with COVID-19 (odds ratio 0.5, 95% confidence interval 0.4-0.7, P < 0.0001) after adjusting for sex, age strata, race/ethnicity, hypertension, and nicotine dependence/tobacco use. The proportions of patients who developed pneumonia (58.1% vs. 21.3%, P < 0.0001), acute kidney injury (43% vs. 27.7%, P = 0.0005), septic shock (44.2% vs. 20.7%, P < 0.0001), and respiratory failure (64.0% vs. 39.1%, P < 0.0001) were significantly higher among patients with SAH and COVID-19 compared with patients without COVID-19. The in-hospital mortality among patients with SAH and COVID-19 was significantly higher compared with patients without COVID-19 (31.4% vs. 12.2%, P < 0.0001)., Conclusions: The risk of SAH was not increased in patients with COVID-19. The higher mortality in patients with SAH and COVID-19 compared with patients without COVID-19 is likely mediated by higher frequency of systemic comorbidities., (Copyright © 2021 Elsevier Inc. All rights reserved.)

This paper introduces inverse ontology cogency, a concept recognition process and distance function that is biologically-inspired and competitive with alternative methods. The paper introduces inverse ontology cogency as a new alternative method. It is a novel distance measure used in selecting the optimum mapping between ontology-specified concepts and phrases in free-form text. We also apply a multi-layer perceptron and text processing method for named entity recognition as an alternative to recurrent neural network methods. Automated named entity recognition, or concept recognition, is a common task in natural language processing. Similarities between confabulation theory and existing language models are discussed. This paper provides comparisons to MetaMap from the National Library of Medicine (NLM), a popular tool used in medicine to map free-form text to concepts in a medical ontology. The NLM provides a manually annotated database from the medical literature with concepts labeled, a unique, valuable source of ground truth, permitting comparison with MetaMap performance. Comparisons for different feature set combinations are made to demonstrate the effectiveness of inverse ontology cogency for entity recognition. Results indicate that using both inverse ontology cogency and corpora cogency improved concept recognition precision 20% over the best published MetaMap results. This demonstrates a new, effective approach for identifying medical concepts in text. This is the first time cogency has been explicitly invoked for reasoning with ontologies, and the first time it has been used on medical literature where high-quality ground truth is available for quality assessment., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2021 Elsevier Ltd. All rights reserved.)

Knowledge on high-grade meningiomas in octogenarian and elderly patients is limited. We aimed to analyze the outcomes and identify factors that influence overall survival (OS) in this population, using data from the Surveillance, Epidemiology, and End Results (SEER) database.Patients (≥80 years old) diagnosed with high-grade meningiomas between 1990 and 2016 were retrieved from the SEER database. According to treatments received, patients were classified into three groups: observation, radiation only, and surgery (with or without radiation). A Cox proportional hazards regression model was used for univariate and multivariate analyses. Based on the inclusion criteria, 678 patients with high-grade meningiomas were included.Surgery was the most common treatment modality. The median OS was 32 months for patients who received surgery, compared with 20 months for observation (p = 0.001).The factors significantly associated with OS on multivariate analysis included increasing age (hazard ratio [HR] 1.353, p < 0.001), diagnosis after 2008 (HR 0.693, p = 0.022), and surgical treatment (HR 0.807, p = 0.028). Further analysis revealed increasing age (HR 1.451, p = 0.003), and subtotal resection (HR 1.275, p = 0.043) were significantly associated with worse OS following surgery. This is the largest clinical study of high-grade meningiomas in octogenarian and elderly patients conducted thus far. Age, treatment modality, and year of diagnosis were associated with OS in octogenarian and elderly patients with high-grade meningiomas. Patients who received subtotal resection had a worse prognosis than gross total resection., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2021 Elsevier Ltd. All rights reserved.)

Background: Compared to general anesthesia, regional anesthesia confers several benefits including improved pain control and decreased postoperative opioid consumption. While the benefits of peripheral nerve blocks (PNB) have been well studied, there are little epidemiological data on PNB usage in mastectomy and lumpectomy procedures. The primary objective of our study was to assess national trends of the annual proportion of PNB use in breast surgery from 2010 to 2018. We also identified factors associated with PNB use for breast surgery., Methods: We identified lumpectomy and mastectomy surgical cases with and without PNB between 2010 and 2018 using the Anesthesia Quality Institute National Anesthesia Clinical Outcomes Registry (AQI NACOR). We modeled the nonlinear association between year of procedure and PNB use with segmented mixed-effects logistic regression clustered on facility identifier. The association between PNB use and year of procedure, age, sex, American Society of Anesthesiologists physical status (ASA PS), facility type, facility region, weekday, and tissue expander use was also modeled using mixed-effects logistic regression., Results: Of the 189,854 surgical cases from 2010 to 2018 that met criteria, 86.2% were lumpectomy cases and 13.8% were mastectomy cases. The proportion of lumpectomy cases with PNB was <0.1% in 2010 and increased each subsequent year to 1.9% in 2018 (trend P < .0001). The proportion of mastectomy cases with PNB was 0.5% in 2010 and 13% in 2018 (trend P < .0001). The year 2014 was the breakpoint selected for segmented regression. Before 2014, the odds of PNB among the mastectomy cases was not significantly different from year to year. After 2014, the odds of PNB increased by 2.24-fold each year (95% confidence interval [CI], 2.00-2.49; P < .001); interaction test for pre-2014 versus post-2014 was P < .001. Similar trends were seen in the lumpectomy cases, where after 2014, the odds of PNB increased by 2.03-fold (95% CI, 1.81-2.27; P < .001); interaction test for pre-2014 versus post-2014 was P < .001. In the mastectomy cohort, year of procedure ≥2014, female sex, facility region, and tissue expander use were associated with higher odds of PNB. For lumpectomy cases, year of procedure ≥2014 and facility region were associated with higher odds of PNB use., Conclusions: We found increased annual utilization of PNB for mastectomy and lumpectomy since 2010, although absolute prevalence is low. PNB use was associated with year of procedure for both lumpectomy and mastectomy, particularly post-2014., Competing Interests: The authors declare no conflicts of interest., (Copyright © 2021 International Anesthesia Research Society.)

Background: Earlier studies have shown disparate cardiovascular care in homeless patients. Limited data exist on burden of infective endocarditis (IE) in homeless patients and in this study, we aimed to analyze it using a nationally representative United States population sample., Methods: Data were extracted from National Inpatient Sample database from January 2000 to December 2017. Patients with endocarditis were sampled using International Classification of Diseases, 9th Revision, Clinical Modification codes of 421.0, 421.1 or 421.9 and International Classification of Diseases, 10th Revision, Clinical Modification codes of I33.0 or I33.9. Homeless patients were identified using codes of V60 and Z59. Linear regression was used for trend analysis and logistic regression was utilized to identify predictors of mortality. 1:1 propensity score (PS) matching was also done to balance confounders and outcomes were assessed in both unmatched and matched cohorts., Results: We found an increase in proportion of homeless patients admitted with endocarditis from 0.2% in year 2000 to 2.4% in year 2017. Mortality was not statistically significant in PS matched homeless and non-homeless cohorts (4.7% vs 6.6%, p = 0.072). There was a trend towards increased mortality in homeless endocarditis patients over our study years with lower utilization of valvular surgeries. Advanced age, alcohol abuse and admission to large hospitals were independently associated with mortality in homeless endocarditis patients., Conclusion: Homeless patients have rising trend of IE and IE related mortality and also found to have low utilization of life saving valvular surgeries when compared to general population., Competing Interests: Conflicts of Interest Authors declare no conflicts of interest for this project., (Copyright © 2021 Southern Society for Clinical Investigation. Published by Elsevier Inc. All rights reserved.)