Sex reporting of cells used in cancer research: A systematic review.

Sex and gender disparities in biomedical research have been emphasized to improve scientific knowledge applied for the health of both men and women. Despite sex differences in cancer incidence, prognosis, and responses to therapeutic agents, mechanistic explanations at molecular levels are far from enough. Recent studies suggested that cell sex is an important biological variable due to differences in sex chromosome gene expression and differences in events associated with developmental biology. The objective of this study was to analyze the reporting of sex of cells used in cancer research using articles published in Cancer Cell, Molecular Cancer, Journal of Hematology & Oncology, Journal for ImmunoTherapy of Cancer, and Cancer Research in 2020, and to examine whether there exists any sex bias. We found that the percentage of cells with sex notation in the article was 36.5%. Primary cells exhibited higher sex notation compared to cell lines. A higher percentage of female cells were used in cell cultures with sex notation. Also, sex-common cells omitted sex description more often compared to sex-specific cells. None of the cells isolated from embryo and esophagus reported the cell sex in the article. Our results indicate cell sex report in cancer research is limited to a small proportion of cells used in the study. These results call for acknowledging the sex of cells to increase the applicability of biomedical research discoveries.

Role of Enlarged Perivascular Space in the Temporal Lobe in Cerebral Amyloidosis.

OBJECTIVE: Although growing evidence suggests that perivascular space (PVS) serves as a clearance route for amyloid and tau, the association between enlarged PVS (EPVS) and Alzheimer disease is highly inconsistent across studies. As the conventional visual rating systems for EPVS were insufficient to predict amyloid/tau/neurodegeneration (A/T/N) status, we developed a new rating scale for EPVS located in the temporal lobe (T-EPVS). METHODS: EPVS located in the basal ganglia (BG-EPVS), centrum semiovale (CS-EPVS), and T-EPVS was visually rated in 272 individuals (healthy controls, n = 96; mild cognitive impairment, n = 106; dementia, n = 70) who underwent structural magnetic resonance imaging (MRI) and dual positron emission tomography scans (18 F-flortaucipir and 18 F-florbetaben). T-EPVS and BG-EPVS were defined as high degree when the counts in any hemisphere were >10, and the CS-EPVS cutoff was >20. Logistic regression models were constructed to investigate whether the regional EPVS burden was predictive of A/T/N status. The derived models were externally validated in a temporal validation cohort (n = 195) that underwent MRI studies using a different scanner. RESULTS: Compared with those with low-degree T-EPVS (23/136, 16.9%), individuals with high-degree T-EPVS/CS-EPVS but low-degree BG-EPVS were more likely to exhibit amyloid positivity (46/56, 82.1%). High-degree T-EPVS burden (odds ratio [OR] = 7.251, 95% confidence interval [CI] = 3.296-15.952) and low-degree BG-EPVS (OR = 0.241, 95% CI = 0.109-0.530) were predictive of amyloid positivity. Although high-degree T-EPVS was associated with tau positivity, the association was no longer significant after adjusting for amyloid and neurodegeneration status. INTERPRETATION: Investigating the burden and topographic distribution of EPVS including T-EPVS may be useful for predicting amyloid status, indicating that impaired perivascular drainage may contribute to cerebral amyloidosis. ANN NEUROL 2023;93:965-978.

De novo versus recurrent metastatic breast cancer affects the extent of brain metastases.

PURPOSE: We aimed to identify factors associated with the extent of brain metastases in patients with breast cancer to help distinguish brain oligometastases (1-4 brain metastases) from extensive metastases (5 or more brain metastases). METHODS: This retrospective observational study included 100 female patients diagnosed with brain metastases from breast cancer at a single institution between January 2011 and April 2022. Patient demographics and tumor characteristics were compared between the brain oligometastases group and the extensive metastases group. Multivariable logistic regression analysis was performed to determine the independent factors, including age at initial diagnosis, initial stage, breast cancer subtype, detection time of brain metastases, and de novo or recurrent status of the metastatic disease. In a subgroup analysis of patients with brain oligometastases, demographic and tumor characteristics were compared between patients with single and two-four brain metastases. RESULTS: Of the 100 patients, 56 had brain oligometastases, while 44 had extensive brain metastases. The multivariable logistic regression analysis revealed that only the de novo/recurrent status of metastatic breast cancer was significantly associated with the extent of brain metastasis (p = 0.023). In the subgroup analysis of 56 patients with brain oligometastases, those diagnosed at an earlier stage were more likely to have a single brain metastasis (p = 0.008). CONCLUSION: Patients with de novo metastatic breast cancer are more likely to develop extensive brain metastases than those with recurrent metastatic breast cancer. This insight could influence the development of tailored approaches for monitoring and treating brain metastases, supporting the potential advantages of routine brain screening for patients newly diagnosed with stage IV breast cancer.

Investigating family resilience factors for enhancing family adaptation in children with epilepsy.

PURPOSE: To identify and understand the key family resilience factors that contribute to the improved family adaptation of children with epilepsy. METHODS: Parent of children with epilepsy treated in the outpatient unit and general ward at Severance Children's Hospital in Seoul, Korea, completed a structured online questionnaire between April and May 2023. This study examined risk (epilepsy severity, time since diagnosis, parental depression, and perceived stigma) and protective factors (child temperament, epilepsy knowledge, family communication skills, parent's educational level, monthly household income, and social support) of family adaptation based on Patterson's Family Resilience Model. Furthermore, general characteristics such as daily caregiving time, perceived parental health, family type, and primary caregiver role were analyzed. RESULTS: This study included 131 participants with a mean age of 41.79 ± 5.77 years, with children having an average age of 9.19 ± 4.94 years. The regression model was significant, and revealed the impact of communication skills, social support, and primary caregivers other than parents. Moreover, a shorter time since diagnosis has a more positive impact on family adaptation. CONCLUSIONS: To improve family adaptation in children with epilepsy, the focus should be placed on improving communication skills, increasing social support, and providing access to external support services. Furthermore, families expecting longer illness duration require proactive measures to support them. These findings could guide future strategies to enhance adaptation in families with children with epilepsy.

Effectiveness of a healthy lifestyle program based on a mobile serious game for childhood cancer survivors: A quasi-randomized trial.

PURPOSE: This study aimed to develop and evaluate the effectiveness of a healthy lifestyle program based on a mobile serious game (HLP-MSG) to enhance the lifestyles of childhood cancer survivors (CCSs). METHODS: This program proceeded in two stages: development and evaluation, using a non-synchronized design with a quasi-randomized trial. The participants were CCSs aged 6-13 years whose treatment was terminated at least 12 months prior. Data were collected at baseline, and post-intervention, with a follow-up after four weeks using the Child Healthy Lifestyle Profile (CHLP). The experimental (n = 26) and control groups (n = 25) were compared. Data were analyzed using descriptive statistics, chi-squared tests, t-tests, and repeated-measures ANOVA. RESULTS: The HLP-MSG promoted a healthy lifestyle by solving 26 quests, including seven sub-elements (nutrition, exercise, hygiene, interpersonal relationships, stress management, meaning of life, and health responsibility). This study revealed significant differences in the interaction between measurement time and group assignment in the CHLP (p = .006) and physical activity (p = .013), one of the seven sub-dimensions. CONCLUSIONS: A healthy lifestyle program based on a mobile serious game is a feasible health education modality to enhance the physical, psychological, social, and spiritual health of CCSs. IMPLICATIONS TO PRACTICE: The findings add to scientific evidence on a mobile serious game for health education among CCSs. The HLP-MSG provides an evolutionary educational modality that can be delivered non-face-to-face to promote CCSs' continuous healthy behavior maintenance. Moreover, the HLP-MSG is adolescent-friendly and can be utilized as a healthcare tool for parents and children to cooperate.

Usefulness and Limitations of PFGE Diagnosis and Nucleotide Sequencing Method in the Analysis of Food Poisoning Pathogens Found in Cooking Employees.

In the case of a food poisoning outbreak, it is essential to understand the relationship between cooking workers and food poisoning. Many biological diagnostic methods have recently been developed to detect food poisoning pathogens. Among these diagnostic tools, this study presents PCR-based pulsed-field gel electrophoresis and nucleotide sequencing diagnostic analysis results for diagnosing food poisoning outbreaks associated with cooking employees in Chungcheongnam-do, Republic of Korea. Pulsed-field gel electrophoresis was useful in identifying the food poisoning outbreaks caused by Staphylococcus aureus and Enteropathogenic Escherichia coli. In the case of Norovirus, nucleotide sequencing was used to identify the relationship between cooking workers and the food poisoning outbreak. However, it is difficult to determine whether cooking employees directly caused the food poisoning outbreaks based on these molecular biological diagnostic results alone. A system is needed to integrate epidemiological and diagnostic information to identify a direct correlation between the food poisoning outbreak and cooking employees.

Mixed Medicinal Mushroom Mycelia Attenuates Alzheimer's Disease Pathologies In Vitro and In Vivo.

Alzheimer's disease (AD) is characterized by memory impairment and existence of amyloid-ß (Aß) plaques and neuroinflammation. Due to the pivotal role of oxidative damage in AD, natural antioxidative agents, such as polyphenol-rich fungi, have garnered scientific scrutiny. Here, the aqueous extract of mixed medicinal mushroom mycelia (MMMM)-Phellinus linteus, Ganoderma lucidum, and Inonotus obliquus-cultivated on a barley medium was assessed for its anti-AD effects. Neuron-like PC12 cells, which were subjected to Zn2+, an Aß aggregator, were employed as an in vitro AD model. The cells pretreated with or without MMMM were assayed for Aß immunofluorescence, cell viability, reactive oxygen species (ROS), apoptosis, and antioxidant enzyme activity. Then, 5XFAD mice were administered with 30 mg/kg/day MMMM for 8 weeks and underwent memory function tests and histologic analyses. In vitro results demonstrated that the cells pretreated with MMMM exhibited attenuation in Aß immunofluorescence, ROS accumulation, and apoptosis, and incrementation in cell viability and antioxidant enzyme activity. In vivo results revealed that 5XFAD mice administered with MMMM showed attenuation in memory impairment and histologic deterioration such as Aß plaque accumulation and neuroinflammation. MMMM might mitigate AD-associated memory impairment and cerebral pathologies, including Aß plaque accumulation and neuroinflammation, by impeding Aß-induced neurotoxicity.

Data-driven electrical conductivity brain imaging using 3 T MRI.

Magnetic resonance electrical properties tomography (MR-EPT) is a non-invasive measurement technique that derives the electrical properties (EPs, e.g., conductivity or permittivity) of tissues in the radiofrequency range (64 MHz for 1.5 T and 128 MHz for 3 T MR systems). Clinical studies have shown the potential of tissue conductivity as a biomarker. To date, model-based conductivity reconstructions rely on numerical assumptions and approximations, leading to inaccuracies in the reconstructed maps. To address such limitations, we propose an artificial neural network (ANN)-based non-linear conductivity estimator trained on simulated data for conductivity brain imaging. Network training was performed on 201 synthesized T2-weighted spin-echo (SE) data obtained from the finite-difference time-domain (FDTD) electromagnetic (EM) simulation. The dataset was composed of an approximated T2-w SE magnitude and transceive phase information. The proposed method was tested three in-silico and in-vivo on two volunteers and three patients' data. For comparison purposes, various conventional phase-based EPT reconstruction methods were used that ignore B 1 + magnitude information, such as Savitzky-Golay kernel combined with Gaussian filter (S-G Kernel), phase-based convection-reaction EPT (cr-EPT), magnitude-weighted polynomial-fitting phase-based EPT (Poly-Fit), and integral-based phase-based EPT (Integral-based). From the in-silico experiments, quantitative analysis showed that the proposed method provides more accurate and improved quality (e.g., high structural preservation) conductivity maps compared to conventional reconstruction methods. Representatively, in the healthy brain in-silico phantom experiment, the proposed method yielded mean conductivity values of 1.97 ± 0.20 S/m for CSF, 0.33 ± 0.04 S/m for WM, and 0.52 ± 0.08 S/m for GM, which were closer to the ground-truth conductivity (2.00, 0.30, 0.50 S/m) than the integral-based method (2.56 ± 2.31, 0.39 ± 0.12, 0.68 ± 0.33 S/m). In-vivo ANN-based conductivity reconstructions were also of improved quality compared to conventional reconstructions and demonstrated network generalizability and robustness to in-vivo data and pathologies. The reported in-vivo brain conductivity values were in agreement with literatures. In addition, the proposed method was observed for various SNR levels (SNR levels = 10, 20, 40, and 58) and repeatability conditions (the eight acquisitions with the number of signal averages = 1). The preliminary investigations on brain tumor patient datasets suggest that the network trained on simulated dataset can generalize to unforeseen in-vivo pathologies, thus demonstrating its potential for clinical applications.

Association of physical activity, smoking, and socioeconomic factors on health checkup participation in community-dwelling stroke survivors aged 50 years or older.

BACKGROUND: We investigated the sociodemographic and health-related factors associated with health checkup participation in community-dwelling stroke survivors. METHODS: Among participants of the Korea National Health and Nutrition Examination Survey, 642 stroke survivors were included. We investigated the sociodemographic, medical, and health-related quality of life factors-evaluated by the EuroQol 5-Dimension Questionnaire (EQ-5D)-associated with participation in any type of health checkup. To explore the associations between multiple variables and health checkup participation, a multivariable complex-sample logistic regression model was used. RESULTS: One-third of the community-dwelling stroke survivors did not receive a health checkup in the past two years. Insufficient physical activity (OR: 0.5, 95% CI: 0.3-0.9), current smoking (OR: 0.4, 95% CI: 0.2-0.8), low education level (OR: 0.5, 95% CI: 0.3-0.9), living alone (OR: 0.5, 95% CI: 0.3-0.998), and no occupation (OR: 0.5, 95% CI: 0.3-0.9) showed independent negative associations with health checkup participation. Among the five EQ-5D dimensions, mobility, self-care, usual activities, and pain/discomfort dimensions were associated with health checkup participation rate. CONCLUSION: Policies and further research are needed to promote health checkups for stroke survivors who are physically inactive, currently smoking, living alone, unemployed, less educated, or having extreme problems in their daily lives.

Electrodiagnosis has a potential to identify neural damage in asymptomatic infants with closed spinal dysraphism.

PURPOSE: The presence and progression of symptoms is the basis for deciding to perform surgery in infants with closed spinal dysraphism (CSD); however, identifying symptoms could be limited, making it difficult to decide. This study investigated whether an electrodiagnostic study (EDS) can provide evidence of neural damage in asymptomatic infants with CSD. METHODS: The study group comprised infants with CSD suspected of having neural damage based on structural abnormalities in spinal ultrasound findings. The patients' medical records were reviewed retrospectively for their clinical presentation, neuroimaging findings, urodynamic study (UDS) results, EDS findings, and surgical status. RESULTS: Among 125 infants who underwent EDS and UDS, 117 (94%) had no clinical symptoms, except for cutaneous manifestations. Among these asymptomatic patients, 51 individuals (43.6%) had abnormal EDS findings; 33 subjects (28.2%) showed abnormal findings on EDS alone, while 37 (31.6%) on UDS alone, and 18 (15.4%) on both EDS and UDS. Chi-square test showed an opposite relationship between the two test results; when EDS was abnormal, UDS was often normal and vice versa (χ2 = 5.328, p = 0.021). In all cases with abnormal EDS, denervation potentials, such as fibrillation and positive sharp waves, were observed on needle electromyography. However, abnormal findings in the nerve conduction study were observed only in six cases. CONCLUSION: Subclinical neural damage was identified through EDS in asymptomatic infants with CSD. EDS could be necessary to determine whether follow-up monitoring only or surgical intervention is required for this patient group complementing UDS findings.

Insurance-Based Disparities in Congenital Cardiac Operations in the Era of the Affordable Care Act.

A body of literature has previously highlighted the impact of health insurance on observed disparities in congenital cardiac operations. With aims of improving access to healthcare for all patients, the Affordable Care Act (ACA) expanded Medicaid coverage to nearly all eligible children in 2010. Therefore, the present population-based study aimed to examine the association of Medicaid coverage with clinical and financial outcomes in the era the ACA. Records for pediatric patients (≤ 18 years) who underwent congenital cardiac operations were abstracted from the 2010-2018 Nationwide Readmissions Database. Operations were stratified using the Society of Thoracic Surgeons-European Association for Cardio-Thoracic Surgery (STAT) Category. Multivariable regression models were developed to evaluate the association of insurance status on index mortality, 30-day readmissions, care fragmentation, and cumulative costs. Of an estimated 132,745 hospitalizations for congenital cardiac surgery from 2010 to 2018, 74,925 (56.4%) were insured by Medicaid. The proportion of Medicaid patients increased from 57.6 to 60.8% during the study period. On adjusted analysis, patients with Medicaid insurance were at an increased odds of mortality (1.35, 95%CI: 1.13-1.60) and 30-day unplanned readmission (1.12, 95%CI: 1.01-1.25), experienced longer lengths of stay (+ 6.5 days, 95%CI 3.7-9.3), and exhibited higher cumulative hospitalization costs (+ $21,600, 95%CI: $11,500-31,700). The total hospitalization cost-burden for patients with Medicaid and private insurance were $12.6 billion and $8.06 billion, respectively. Medicaid patients exhibited increased mortality, readmissions, care fragmentation, and costs compared to those with private insurance. Our results of outcome variation by insurance status indicate the necessity of policy changes to attempt to approach equality in surgical out comes for this high-risk cohort. Baseline characteristics, trends, and outcomes by insurance status over the ACA rollout period 2010-2018.

Triphenylphosphonium conjugation to a TRAP1 inhibitor, 2-amino-6-chloro-7,9-dihydro-8H-purin-8-one increases antiproliferative activity.

Tumor-necrosis-factor-receptor associated protein 1 (TRAP1), a mitochondrial paralog of heat shock protein 90 family proteins, is overexpressed in many cancer cells and supports tumorigenesis by rewiring vital metabolic and cell death pathways. The triphenylphosphonium moiety is used to deliver therapeutic cargo to increase drug uptake into mitochondria. Various aryl- or alkyl-substituted phosphonium analogs were conjugated with TRAP1-selective inhibitors 4a-c to optimize anticancer activity. Among these various phosphonium-conjugated compounds, (6-(2-amino-9-(4-bromo-2-fluorobenzyl)-6-chloro-8-oxo-8,9-dihydro-7H-purin-7-yl)hexyl)triphenylphosphornium (6a) was identified as a potential anticancer agent. Compound 6a had IC50 values of 0.30-3.24 µM in seven different cancer cell lines and potently suppressed tumor growth without any noticeable in vivo toxicity in a nude mouse model xenografted with PC3 prostate cancer cells.

Factors influencing perceived communication quality for successful fertility preservation counseling for adolescent and young adult cancer patients and their caregivers in Korea.

PURPOSE: Although relatively new in Asian countries, fertility preservation (FP) discussions are crucial for adolescent and young adult (AYA) cancer patients. This study highlights patients' and their caregivers' perceptions of communications quality during FP discussions in Korea. METHODS: Participants were AYA patients and their caregivers (each: n = 34). The study examined the clinical pathways for FP and used surveys to collect details on discussion characteristics and satisfaction levels during FP discussions at the Yonsei Cancer Center, Seoul, Korea. Quality and degree of satisfaction with FP discussions were measured on a scale ranging from 1 to 7. RESULTS: Two caregivers did not complete the survey. All respondents reported high overall satisfaction; however, several factors were related to low satisfaction with information quality. Caregivers who received both verbal communication and nonverbal communication tools (e.g., pamphlets, Internet resources) were more satisfied with the information quality than those who only received verbal communication. Regarding provider type, both respondent groups reported high overall satisfaction with physicians, rather than other types of care providers. Regarding the number of discussion sessions, respondents reported an improved understanding of FP and better communication and information quality if they participated in more than one discussion session. CONCLUSION: The FP process for AYA cancer patients can be improved by adjusting the type of provider, number of discussion sessions, and types of information. This will form the cornerstone of effective FP communication in Korea.

Sarcopenia in patients with dementia: correlation of temporalis muscle thickness with appendicular muscle mass.

Cognitive decline is one of the most relevant signs of sarcopenia; however, it is challenging to perform tests for sarcopenia in patients with dementia. In a recent study, temporalis muscle thickness (TMT), an alternative to appendicular muscle mass (ASM), was found to be a valid index for screening sarcopenia. This study aimed to determine whether TMT correlates with ASM and evaluate the relationship between TMT and cognitive function in dementia patients. We recruited patients with a complaint of memory loss who visited the Memory Clinic of Konkuk University Medical Center between November 2014 and December 2020. Patients with probable Alzheimer's disease (AD) without weakness were included. TMT was measured on axial T1-weighted magnetic resonance (MR) images, perpendicular to the long axis of the temporal muscle, at the orbital roof level. ASM was measured using body dual-energy X-ray absorptiometry (DXA). It was calculated as the sum of lean soft tissue mass in the arms and legs, and the value by ASM divided by height squared was used. Inter-rater reliability and intra-rater reliability were good and excellent, respectively. We found a correlation between TMT and skeletal ASM, which was obtained from cranial MR images and DXA, respectively (r = 0.379, p = 0.001). TMT was negatively correlated with age (r = - 0.296, p = 0.014) and positively correlated with body mass index (BMI) (r = 0.303, p = 0.012). Additionally, TMT was correlated with MMSE (r = 0.350, p = 0.003). After adjusting for educational years, there was still a correlation between TMT and MMSE (r = 0.256, p = 0.038). This study demonstrated that TMT correlates with ASM and cognitive function in patients with dementia. Measuring TMT using cranial MR images could help diagnose sarcopenia accessibly and assess cognitive function in patients with dementia.

Pain characteristics among individuals with Duchenne muscular dystrophy according to their clinical stage.

BACKGROUND: Assessment of pain is not routine, standardized, or well-understood in individuals with Duchenne muscular dystrophy (DMD), even though pain is a common problem reported by more than half of the patients with DMD. Previous studies in this area included multiple neuromuscular diseases with highly variable phenotypes. Therefore, our aim was to specifically focus on DMD and evaluate the comprehensive pain characteristics according to the disease stages, from ambulatory to late non-ambulatory. METHODS: This cross-sectional study was conducted in an out-patient pediatric rehabilitation clinic including 148 male participants with confirmed DMD (14.5 ± 5.3 years of age). Face-to-face interviews were conducted using a structured questionnaire concerning the pain frequency, duration, intensity, location, aggravating/relieving factors, pain interference (Brief Pain Inventory), pain phenotype (PainDETECT Questionnaire), and functional ability (DMD Functional Ability Self-Assessment Tool). Pain characteristics were analyzed according to the clinical stage: ambulatory (Amb), early non-ambulatory (ENA), and late non-ambulatory (LNA). RESULTS: Of the 148 participants who completed the assessment, 66 (44.6%) reported pain during the previous 4 weeks. There were no differences in the pain duration or intensity among the three groups. Pain location (Amb: calf, ENA: knee, LNA: lumbosacral region), aggravating factor (Amb: ambulation, ENA: transfer, LNA: sitting), and relieving factor (Amb: rest and massage, ENA and LNA: positional change) differed according to the clinical stage. Individuals in the LNA stage reported an increase in the frequency of pain and number of pain sites. The effect of pain on mood was also found to be greater in the LNA group than in the other clinical stages. CONCLUSION: There is a change in the pain characteristics, including the location, aggravating/relieving factors, pain frequency, and pain interference, with the progress of the disease in patients with DMD. Thus, clinicians could more efficiently and critically assess and manage the patients' pain based on these findings.

The development of a web-based app employing machine learning for delirium prevention in long-term care facilities in South Korea.

BACKGROUND: Long-term care facilities (LCFs) in South Korea have limited knowledge of and capability to care for patients with delirium. They also often lack an electronic medical record system. These barriers hinder systematic approaches to delirium monitoring and intervention. Therefore, this study aims to develop a web-based app for delirium prevention in LCFs and analyse its feasibility and usability. METHODS: The app was developed based on the validity of the AI prediction model algorithm. A total of 173 participants were selected from LCFs to participate in a study to determine the predictive risk factors for delerium. The app was developed in five phases: (1) the identification of risk factors and preventive intervention strategies from a review of evidence-based literature, (2) the iterative design of the app and components of delirium prevention, (3) the development of a delirium prediction algorithm and cloud platform, (4) a pilot test and validation conducted with 33 patients living in a LCF, and (5) an evaluation of the usability and feasibility of the app, completed by nurses (Main users). RESULTS: A web-based app was developed to predict high risk of delirium and apply preventive interventions accordingly. Moreover, its validity, usability, and feasibility were confirmed after app development. By employing machine learning, the app can predict the degree of delirium risk and issue a warning alarm. Therefore, it can be used to support clinical decision-making, help initiate the assessment of delirium, and assist in applying preventive interventions. CONCLUSIONS: This web-based app is evidence-based and can be easily mobilised to support care for patients with delirium in LCFs. This app can improve the recognition of delirium and predict the degree of delirium risk, thereby helping develop initiatives for delirium prevention and providing interventions. Moreover, this app can be extended to predict various risk factors of LCF and apply preventive interventions. Its use can ultimately improve patient safety and quality of care.

Prescription-related risk factors for opioid-related overdoses in the era of fentanyl contamination of illicit drug supply: A retrospective case-control study.

Background:We sought to quantify the association between clinical, physiological, and contextual factors and opioid-related overdose, specifically focusing on current and past use of select prescription medications. Methods: We conducted a case-control study of individuals who experienced a non-fatal opioid-related overdose between January 2015 and November 2016 in British Columbia, Canada. We matched 8,831 cases to 44,155 controls on birth year, sex, and local health area of residence and examined 5-year prescribing history for opioids for pain, medications for opioid use disorder (MOUD), benzodiazepines/z-drugs, and other psychoactive medications. Results: The overall prevalence of prescription opioid drug use was generally low in the study population. Cases had a relatively higher use of selected prescription medications, a higher physical and mental morbidity burden, and were less connected to health services compared with controls. For opioids for pain, current therapy was associated with experiencing an overdose (OR = 8.5, 95%CI: 7.3-10); history of long-term use had a stronger association than history of short-term use (OR = 2.9, 95%CI: 2.6-3.3 vs OR = 1.7, 95%CI: 1.5-1.8, respectively). While persons on MOUD were more likely to overdose compared to persons who were not on therapy (OR = 2.0, 95%CI 1.7-2.4), recent discontinuation of MOUD greatly increased the likelihood of overdose (OR = 25.6, 95%CI 17.5-37.4). Active therapy of benzodiazepines/z-drugs and other sedating medications also significantly increased the likelihood of overdose. Conclusions: While this study supports expansion of efforts to prevent overdoses among individuals actively using opioids for pain and improve retention among those on MOUD, it is also important to address other clinical, physiological, and contextual risk and protective factors to help curb the current overdose crisis.

Interpretation of fluid-attenuated inversion recovery vascular hyperintensity in stroke.

Fluid-attenuation inversion recovery (FLAIR) vascular hyperintensity (FVH) is a common presentation on brain magnetic resonance images of patients with acute ischemic stroke. This sign is known as a sluggish collateral flow. Although FVH represents the large ischemic penumbra and collateral circulation, the clinical significance of FVH has not been established. Varying protocols for FLAIR, treatment differences, and heterogeneity of endpoints across studies have complicated the interpretation of FVH in patients with acute stroke. In this review article, we describe the mechanism of FVH, as well as its association with functional outcome, perfusion-weighted images, and large artery stenosis. In addition, we review the technological variables that affect FVH and discuss the future perspectives.

Intracranial Aneurysms Are Associated With Marfan Syndrome: Single Cohort Retrospective Study in 118 Patients Using Brain Imaging.

BACKGROUND AND PURPOSE: The association between intracranial aneurysms (IAs) and Marfan syndrome (MFS) is controversial. We aimed to evaluate the prevalence and characteristics of IAs in patients with MFS using brain imaging and compare it with the general population. METHODS: Between 2007 and 2020, 118 patients with confirmed MFS who underwent brain imaging were enrolled and classified into 2 groups; IA group versus non-IA. Demographic data were acquired from their medical records, including age, sex, comorbidities, and aortic diseases. Two readers reviewed all brain images independently regarding the presence, morphology, size, and location of IAs. All data were compared between both groups, and IA characteristics in MFS were analyzed using a database of controls with IAs. RESULTS: The prevalence of IAs was 11.9% in patients with MFS. IA group were significantly older in age (44.6±12.1 years in IA versus 36.8±14.0 years in non-IA, P=0.039) and had female predominance (71.4% in IA versus 43.3% in non-IA, P=0.047). All IAs were unruptured, and there was no subarachnoid hemorrhage during the follow-up period (mean; 53.5±43.3 months). The mean diameter of IAs was significantly larger (4.23±1.80 mm in MFS versus 3.04±1.57 mm in control, P=0.004). IAs with MFS were frequently located in the vertebrobasilar artery (33.3% in MFS versus 2.1% in control, P=0.002) and more common in fusiform morphology (13.3% in MFS versus 1.1% in control, P=0.048). CONCLUSIONS: This large-cohort study demonstrated a high prevalence and differential features of IAs in MFS, which may support the association between IAs and MFS.

Artificial neural network for multi-echo gradient echo-based myelin water fraction estimation.

PURPOSE: To demonstrate robust myelin water fraction (MWF) mapping using an artificial neural network (ANN) with multi-echo gradient-echo (GRE) signal. METHODS: Multi-echo gradient-echo signals simulated with a three-pool exponential model were used to generate the training data set for the ANN, which was designed to yield the MWF. We investigated the performance of our proposed ANN for various conditions using both numerical simulations and in vivo data. Simulations were conducted with various SNRs to investigate the performance of the ANN. In vivo data with high spatial resolutions were applied in the analyses, and results were compared with MWFs derived by the nonlinear least-squares algorithm using a complex three-pool exponential model. RESULTS: The network results for the simulations show high accuracies against noise compared with nonlinear least-squares MWFs: RMS-error value of 5.46 for the nonlinear least-squares MWF and 3.56 for the ANN MWF at an SNR of 150 (relative gain = 34.80%). These effects were also found in the in vivo data, with reduced SDs in the region-of-interest analyses. These effects of the ANN demonstrate the feasibility of acquiring high-resolution myelin water images. CONCLUSION: The simulation results and in vivo data suggest that the ANN facilitates more robust MWF mapping in multi-echo gradient-echo sequences compared with the conventional nonlinear least-squares method.