High-risk Patterns Research Articles

"Doctor, Can I Drink an Alcohol-Free Beer?" Low-Alcohol and Alcohol-Free Drinks in People with Heavy Drinking or Alcohol Use Disorders: Systematic Review of the Literature.

No- and low-alcohol drinks (NoLo) have been proposed as a potential way forward for the reduction in the alcohol burden of disease. So far, there is scarce synthesized evidence on the effects of these products on people with alcohol use disorder (AUD), or with a heavy or high-risk drinking pattern. The aim of the present study is to systematically review the evidence of the use of NoLo drinks in these populations. A total of 4045 records were screened and 10 studies were included in the review. Craving and desire to drink have been found to increase after the consumption of NoLo drinks in patients with AUD. The increase in craving correlates with the severity of alcohol dependence. In addition, in this population, alcohol-related cues might trigger physiological responses similar to those experienced when using alcohol. Furthermore, as mentioned, in some of the studies, consumption was shown to increase as the %ABV or verbal descriptors indicate lower alcohol. Last, according to the epidemiological data, heavy drinkers tend to use NoLo drinks on top of their usual alcohol consumption rather than as part of regular drinking patterns. Further studies should be conducted in people with AUD or people with a high-risk drinking pattern to provide new insight to guide clinicians, patients, and other stakeholders to make evidence-based informed decisions.

Correlation between hypotension during dobutamine myocardial perfusion imaging and severity of stress-induced ischemia

Objectives: An accurate non-invasive evaluation of coronary artery disease (CAD) is essential in choosing the right management plan. Dobutamine stress myocardial perfusion imaging (MPI) is a substitute test for patients who cannot exercise. This study aimed to assess the relationship between dobutamine-induced hypotension and risk stratification of annual hard cardiac events evaluated by MPI.
 Methods: This study is a retrospective study conducted on 1004 patients from October 2015 to august 2019.These patients referred to Rasoul Akram Hospital, because they could not exercise electrocardiography or had contraindications to vasodilator therapy, they were subjected to dobutamine Tc99m-Sestamibi single photon emission tomography (SPECT) protocol. During the protocol, blood pressure was measured with a one-minute interval. From among the participants, 247 patients had decreased blood pressure by more than 20 mmHg during infusion. Then for patients, a gated MPI scan was performed, and MPI with a quantitative and visual interpretation determined the risk stratification of the patients. Multivariable logistic regression model assessed the associations between decrease in blood pressure (above 20 mmHg) and risk stratification.
 Results: A total of 1004 patients with a mean age of 59.07 years were studied. Of these patients, 247 had > 20mmHg drop in systolic BP from baseline. This study revealed a significant correlation between hypotension during the dobutamine stress test and high-risk scan patterns in myocardial perfusion scan. Moreover, there was a significant correlation between age increase, smoking, diabetes mellitus, transient ischemic dilation (TID), high baseline blood pressure, and history of CABG or angioplasty with a high-risk scan pattern in MPI.
 Conclusions: This study demonstrated that hypotension during the dobutamine stress test is correlated with high-risk scan patterns in MPI.

ACL Research Retreat IX Summary Statement: The Pediatric Athlete, March 17-19, 2022; High Point, North Carolina.

ACL Research Retreat IX Summary Statement: The Pediatric Athlete, March 17-19, 2022; High Point, North Carolina.

Investigating the effects of sleepiness in truck drivers on their headway: An instrumental variable model with grouped random parameters and heterogeneity in their means

Sleepiness is a common human factor among truck drivers resulting from sleep loss or time of day and causing impairment in vigilance, attention, and driving performance. While driver sleepiness may be associated with increased risk on the road, sleepy drivers may drive more cautiously as a result of risk-compensating behaviour. This endogeneity has been overlooked in the previous driver behaviour studies and may provide new insight into the effects of sleepiness on driving performance. In addition, the Karolinska Sleepiness Scale (KSS) has been widely used to quantify sleepiness. However, the KSS is a subjective self-reported measure and is reliant on honest reporting and understanding of the scale. An alternative way of quantifying sleepiness is using drivers’ heart rate and correlating it with their sleepiness. While recent advances in data collection technologies have made it possible to collect heart rate data in real-time and in an unobtrusive way, their application in measuring sleepiness particularly among truck drivers has been unexplored.This study aims to address these gaps and contribute to analytic methods in road safety research by collecting truck drivers’ heart rate data in real-time, measuring sleepiness from those data, and using it in an instrumental variable modelling framework to investigate its effect on driving performance. To this end, a driving simulator experiment was conducted in Belgium and heart rate data were collected for 35 truck drivers via sensors installed on the steering wheel of the simulator. Additional demographic data were collected using a questionnaire before the experiment. An instrumental variable model consisting of a discrete binary logit and a continuous generalized linear model with grouped random parameters and heterogeneity in their means was then developed to study the effects of driver sleepiness on headway. Results indicate that age, years of holding driver licence, road type, type of truck transport, and weekly distance travelled are significantly associated with sleepiness among the participants of this study. Sleepy driving is associated with reduced headway for 30.5% of the drivers and increased headway for the other 69.5%, and night-time shift is associated with such varied effects. These findings indicate that there may be group- or context-specific risk patterns which cannot be explicitly addressed by hours of service regulations and therefore, transport operators, driver trainers and fleet managers should identify and handle such context-specific high risk patterns in order to ensure safe operations.

Ride the Wave: Continuous Electroencephalography is Indicated in the Management of Traumatic Brain Injury.

Introduction: Patients with traumatic brain injury (TBI) are at risk for seizures and other abnormalities that can have permanent adverse effects on the brain. We aimed to report the incidence of seizures and continuous EEG (cEEG) abnormalities after TBI and identify any risk factors associated with the development of these abnormalities. Materials and Methods: This retrospective study identified 245 adult patients with mild to severe TBI who had a cEEG performed within one week of admission to a Midwest Level 1 Trauma Center between July 2014 and July 2019. Trauma registry and electronic medical record (EPIC) data were extracted. Results: Twelve percent of patients with TBI developed seizures and an additional 23% demonstrated electrographic patterns that are correlated with risk for seizures (such as lateralized periodic patterns and sporadic epileptiform discharges). Fifty three percent of seizures would have been missed unless a cEEG was performed. Age, history of epilepsy or prior TBI, hypertension, bleeding disorder, and dementia were associated with an increased risk of developing seizures or higher risk patterns. Conclusions: Thirty-five percent of patients who presented with TBI were noted to have seizures or electrographic patterns associated with a higher risk of seizures. The incidence of cEEG abnormalities in this study is higher than previously reported and these patients are at risk for permanent neurological injury. We recommend the routine use of cEEG for all critically ill patients with TBI as over half of the seizures would have been missed if cEEG was not employed.

In utero myelomeningocele repair and high-risk bladder pattern. a prospective study.

ABSTRACTObjectivesHigh-risk bladder pattern can be defined by Urodynamic Evaluation (UE) as overactive bladder with detrusor leak point pressure higher than 40 cmH2O and/or higher filling pressures also above 40 cmH2O. We wanted to evaluate response to treatment in myelomeningocele patients operated in utero in this subgroup.Patients and MethodsFrom our prospective cohort of in utero MMC we have identified patients in the high-risk group. Treatment consisted of anticholinergics (Oxybutynin 0.2 mg/Kg) 2 or 3 times daily in association with CIC. At every UE, patients were reclassified in high-risk or low-risk patterns. Patients not responding were proposed bladder reconstruction or diversion according to age.ResultsBetween 2011 to 2020, we have been following 121 patients and 60 (49.6%) of them were initially categorized as high-risk. The initial UE was performed at a mean age of 7.9 months and detrusor overactivity was found in 83.3% (mean maximum pressure of 76.5cmH20). When evaluating patients with 2 or more UE, we identified 44 patients (follow-up: 36.8months). It was observed in the group of patients who underwent 2 to 5 UE, that response to treatment was validated by the finding of 40% of low-risk bladder patterns in the second UE and between 62% to 64% in the third to the fifth UE. The incidence of surgery was 13.3%.ConclusionsEarly urological treatment of high-risk bladder pattern was effective in approximately 60%. We reinforce the need to correctly treat every patient with myelomeningocele, in accordance with UE, whether undergoing in utero or postnatal treatment.

Outcome of patients with early repolarization pattern and syncope.

Syncope in patients with an early repolarization (ER) pattern presents a challenge for clinicians as it has been identified as an indicator of a higher risk of life-threatening ventricular arrhythmias (VAs). This study aimed to analyze the outcome of patients with an ER pattern and syncope and to evaluate the factors predictive of VAs. Over a period of 5 years, we enrolled 143 patients with an ER pattern and syncope in a multicenter prospective registry. After the initial examinations, 97 patients (67.8%) were implanted with a device allowing electrocardiogram monitoring, including 84 (58.7%) with an implantable loop recorder. During a mean follow-up period of 68 ± 34 months, we documented 16 arrhythmias presumably responsible for syncope (5 VAs, 10 bradycardias, and 1 supraventricular tachycardia). Additionally, recurrent syncope not associated with electrocardiogram documentation occurred in 16 patients (11.2%). The cause of syncope was identified in 23 of 97 patients with a monitoring device (23.8%). The 5-year incidence of VAs and arrhythmic events presumably responsible for syncope was 4.9% and 11.0%, respectively. Patients who developed VAs showed no prodromes or specific triggers at the time of syncope. Neither the presence of a family history of sudden cardiac death nor the previously reported high-risk electrocardiographic parameters differed between patients with and without VAs. VAs occurred in 4.9% of patients with an ER pattern and syncope. Device implantation based on detailed history taking seems to be a reasonable strategy. Previously reported high-risk electrocardiographic patterns did not identify patients with VAs.

Spatial Distribution of Head and Neck Cancer in Chiang Mai, Thailand.

The incidence of Head and neck (HN) cancers in Thailand is rising and survival rates not improving. Variations of its incidence among geographical areas may due to various contributing factors. We focused on data from 25 districts within Chiang Mai province, Thailand. The temporal change was described separately into two periods, 2007-2012 and 2013-2018. The OpenBUGS and the Quantum Geographic Information System were utilized to determine the geographical patterns in the incidence of HN cancer and focus on oropharynx. The number of new cases of HN cancer was 1,186, of which 835 cases (70%) were male. Among those patients 548 diagnosed in 2007-2012 and 638 diagnose in 2013-2018. High risk patterns of both overall HN and oropharyngeal cancer incidences were found in the central and southern areas of the province in 2007-2013. However, the geographical patterns of the incidence of oropharyngeal cancer showed the changed pattern, with high RR in central and northern areas in more recent period. Over two periods, the RR of the cancers incidence decrease. The RR of oropharyngeal increased in Fang district and it remained high in Mueang district. This study have highlighted specific areas with a high risk of head and neck cancer and oropharyngeal cancer incidences in Chiang Mai province, along with the spatial inequalities in their distributions, with cluster formation. These results may be helpful in guiding any strategy put in place to respond to the high risk incidence of the cancers in specific areas.

Analysis of Neonatal Neurobehavior and Developmental Outcomes Among Preterm Infants

The ability to identify poor outcomes and treatable risk factors among very preterm infants remains challenging; improving early risk detection and intervention targets to potentially address developmental and behavioral delays is needed. To determine associations between neonatal neurobehavior using the Neonatal Intensive Care Unit (NICU) Network Neurobehavioral Scale (NNNS), neonatal medical risk, and 2-year outcomes. This multicenter cohort enrolled infants born at less than 30 weeks' gestation at 9 US university-affiliated NICUs. Enrollment was conducted from April 2014 to June 2016 with 2-year adjusted age follow-up assessment. Data were analyzed from December 2019 to January 2022. Adverse medical and psychosocial conditions; neurobehavior. Bayley Scales of Infant and Toddler Development, third edition (Bayley-III), cognitive, language, and motor scores of less than 85 and Child Behavior Checklist (CBCL) T scores greater than 63. NNNS examinations were completed the week of NICU discharge, and 6 profiles of neurobehavior were identified by latent profile analysis. Generalized estimating equations tested associations among NNNS profiles, neonatal medical risk, and 2-year outcomes while adjusting for site, maternal socioeconomic and demographic factors, maternal psychopathology, and infant sex. A total of 679 enrolled infants had medical and NNNS data; 2-year follow-up data were available for 479 mothers and 556 infants (mean [SD] postmenstrual age at birth, 27.0 [1.9] weeks; 255 [45.9%] female). Overall, 268 mothers (55.9%) were of minority race and ethnicity, and 127 (26.6%) lived in single-parent households. The most common neonatal medical morbidity was BPD (287 [51.7%]). Two NNNS behavior profiles, including 157 infants, were considered high behavioral risk. Infants with at least 2 medical morbidities (n = 123) were considered high medical risk. Infants with high behavioral and high medical risk were 4 times more likely to have Bayley-III motor scores less than 85 compared with those with low behavioral and low medical risk (adjusted relative risk [aRR], 4.1; 95% CI, 2.9-5.1). Infants with high behavioral and high medical risk also had increased risk for cognitive scores less than 85 (aRR, 2.7; 95% CI, 1.8-3.4). Only infants with high behavioral and low medical risk were in the clinical range for CBCL internalizing and total problem scores (internalizing: aRR, 2.3; 95% CI, 1.1-4.5; total: aRR, 2.5; 95% CI, 1.2-4.4). In this study, high-risk neonatal neurobehavioral patterns at NICU discharge were associated with adverse cognitive, motor, and behavioral outcomes at 2 years. Used in conjunction with medical risk, neonatal neurobehavioral assessments could enhance identification of infants at highest risk for delay and offer opportunities to provide early, targeted therapies.

Identifying Weather Patterns Associated with Increased Volcanic Ash Risk within British Isles Airspace

Abstract Icelandic volcanic emissions have been shown historically and more recently to have an impact on public health and aviation across northern and western Europe. The severity of these impacts is governed by the prevailing weather conditions and the nature of the eruption. This study focuses on the former utilizing an existing set of 30 weather patterns produced by the Met Office. Associated daily historical classifications are used to assess which weather patterns are most likely to result in flow from Iceland into four flight information regions (FIRs) covering the British Isles and North Atlantic, which may lead to disruption to aviation during Icelandic volcanic episodes. High-risk weather patterns vary between FIRs, with a total of 14 weather patterns impacting at least one FIR. These high-risk types predominantly have a northwesterly or westerly flow from Iceland into British Isles airspace. Analysis of the historical classifications reveals a typical duration for high-risk periods of 3–5 days, when transitions between high-risk types are considered. High-risk periods lasting over a week are also possible in all four FIRs. Additionally, impacts are more likely in winter months for most FIRs. Knowledge of high-risk weather patterns for aviation can be used within existing operational probabilistic weather pattern forecasting tools. Combined probabilities for high-risk weather patterns can be derived for the medium-range (1–2 weeks ahead) and used to provide a rapid assessment as to the likelihood of flow from Iceland. This weather pattern forecasting application is illustrated using archived forecast data for the 2010 Eyjafjallajökull eruption.

Concurrent Validity of Movement Screening Criteria Designed to Identify Injury Risk Factors in Adolescent Female Volleyball Players.

Anterior cruciate ligament (ACL) injuries in female adolescent athletes occur at disproportionately high levels compared to their male counterparts. However, limited prospective data exist on the validity of low-cost screening tools that can proactively identify ACL injury risk, specifically for female athletes. The purpose of this study was to assess the concurrent validity of a three-task injury risk factor assessment by comparing visually derived outcome scores from two-dimensional (2D) video data with dichotomized three-dimensional (3D) biomechanical variables collected using motion capture technology. A total of 41 female club volleyball athletes (14.7 ± 1.4 years) were tested and asked to perform three tasks: double-leg vertical jump (DLVJ), single-leg squat (SLS), and single-leg drop landing (SLDL). One rater was trained on the scoring criteria for the 2D data and independently scored one forward-facing and one side-facing video for each task. Risk factors identified included poor knee position, lateral trunk lean, and excessive trunk flexion/extension. In addition, 3D joint angles were calculated for the trunk and knee in the sagittal and frontal planes and converted to dichotomous variables based on biomechanical thresholds of injury risk. For comparison of 2D and 3D outcomes, percent agreement and Cohen's kappa were calculated for each risk factor individually. Overall, 2D scores were found to exhibit moderate to excellent percent agreement with 3D outcomes for trunk position (69.1–97.1%). Specifically, ipsilateral trunk lean during single-leg tasks exhibited the highest agreement (85.3–88.2%) with moderate reliability (κ = 0.452–0.465). In addition, moderate to substantial reliability was found for trunk flexion during double-leg tasks (κ = 0.521–0.653); however, an evaluation of single-leg tasks resulted in only fair reliability (κ = 0.354). Furthermore, 2D scores were not successful in identifying poor knee position as percent agreement fell below 50% for both the single-leg tasks and averaged 60% agreement across both the phases of the DLVJ. Kappa coefficients further emphasized these trends indicating no to slight concurrent validity (κ = −0.047–0.167) across tasks. Overall, these findings emphasize the potential for valid, low-cost screening tools that can identify high-risk movement patterns. Further study is needed to develop improved assessment guidelines that may be employed through visual assessment in sports environments.

Atorvastatin favorably modulates a clinical hepatocellular carcinoma risk gene signature.

Lipophilic but not hydrophilic statins have been shown to be associated with reduced risk for hepatocellular carcinoma (HCC) in patients with chronic viral hepatitis. We investigated differential actions of lipophilic and hydrophilic statins and their ability to modulate a clinical prognostic liver signature (PLS) predicting HCC risk in patients with liver disease. Hepatitis C virus (HCV)–infected Huh7.5.1 cells, recently developed as a model to screen HCC chemopreventive agents, were treated with lipophilic statins (atorvastatin and simvastatin) and hydrophilic statins (rosuvastatin and pravastatin), and then analyzed by RNA sequencing and PLS. Lipophilic statins, particularly atorvastatin, more significantly suppressed the HCV‐induced high‐risk pattern of PLS and genes in YAP and AKT pathway implicated in fibrogenesis and carcinogenesis, compared with the hydrophilic statins. While atorvastatin inhibited YAP activation through the mevalonate pathway, the distinctive AKT inhibition of atorvastatin was mediated by stabilizing truncated retinoid X receptor alpha, which has been known to enhance AKT activation, representing a target for HCC chemoprevention. In addition, atorvastatin modulated the high‐risk PLS in an in vitro model of nonalcoholic fatty liver disease (NAFLD). Conclusion: Atorvastatin distinctively inhibits YAP and AKT activation, which are biologically implicated in HCC development, and attenuates a high‐risk PLS in an in vitro model of HCV infection and NAFLD. These findings suggest that atorvastatin is the most potent statin to reduce HCC risk in patients with viral and metabolic liver diseases.

Diurnal heat exposure risk mapping and related governance zoning: A case study of Beijing, China

Heat exposure risk mapping and governance are necessary due to the negative impact of urban heat hazards on residents’ health. Heat exposure risk is dynamic in time and space due to diurnal temperature variations and population mobility, but has often been ignored in previous studies. This study assessed diurnal heat exposure risk by coupling high-temperature intensity and frequency and population density in Beijing, China, and proposed risk governance zoning based on the association analysis of local climate zone (LCZ) and heat exposure risk. The results indicate that although heat exposure risk is highest in the core functional area during the day and night, the gravity centre of heat exposure risk shifts eastward at night; high-risk patterns at night are similar to the population distribution. Moreover, based on the different LCZs contributing differently to high heat exposure risk, risk governance zoning that is applicable to heat exposure risk governance was developed; urgent priority governance areas account for 22.88% of the total area due to a large number of compact mid-rise and high-rise buildings. These findings could represent an important basis for developing risk mitigation strategies in urban planning, and provide effective guidance for urban residents to improve their risk adaptation capacity.

Increasing genomic discovery in newly diagnosed multiple myeloma: defining disease biology and its correlation to risk.

Our understanding of MM genomics has expanded rapidly in the past 5-10 years as a consequence of cytogenetic analyses obtained in routine clinical practice as well as the ability to perform whole-exome/genome sequencing and gene expression profiling on large patient data sets. This knowledge has offered new insights into disease biology and is increasingly defining high-risk genomic patterns. In this manuscript, we present a thorough review of our current knowledge of MM genomics. The epidemiology and biology of chromosomal abnormalities including both copy number abnormalities and chromosomal translocation are described in full with a focus on those most clinically impactful such as 1q amplification and del(17p) as well as certain chromosome 14 translocations. A review of our ever-expanding knowledge of genetic mutations derived from recent whole-genome/exome data sets is then reviewed including those that drive disease pathogenesis from precursor states as well as those that may impact clinical outcomes. We then transition and attempt to elucidate how both chromosomal abnormalities and gene mutations are evolving our understanding of disease risk. We conclude by offering our perspectives moving forward as to how we might apply whole-genome/exome-level data in addition to routine cytogenetic analyses to improve patient outcomes as well as further knowledge gaps that must be addressed.

Balancing non-discriminatory donor selection and blood safety in the Netherlands: Evaluation of an individual risk assessment of sexual behavior.

To better balance the safety of the blood supply and the inclusion of men who have sex with men (MSM), further improvements are needed to the risk management strategy employed in the Netherlands to reduce transfusion-transmissible infections (TTIs). A gender-neutral individual risk assessment could provide a solution by determining donor eligibility based on sexual behaviors known to increase the risk of TTIs. Our objective is to estimate the proportion of blood donors that would be deferred by such an assessment, as well as their discomfort answering such questions. Two surveys were distributed in May 2020 to assess sexual behavior in blood donors in the last 4, 6, and 12 months, as well as their discomfort reporting such information. A combination of both surveys measured the extent to which discomfort was associated with reporting sexual behavior. A high-risk sexual behavior pattern was defined as having had multiple sexual partners and having engaged in anal sex, without consistent condom use. Of all 2177 participating whole blood donors, 0.8% report engaging in high-risk sexual behaviors over the last 4 months and would therefore be ineligible to donate. When accounting for the additional proportion of donors that reported such questions would stop them from donating, 2.0% and 3.2% of female and male donors, respectively, would be lost. Gender-neutral eligibility criteria based on high-risk sexual behaviors may reduce the overall number of eligible donors in the Netherlands, but could make blood donation more accessible to a broader group of donors.

The role of PTSD symptom clusters and criterion in predicting future high-risk drug and alcohol use among returning veteran men and women.

The prevalence of co-occurring posttraumatic stress disorder (PTSD) and substance use disorder (SUD) remains exceptionally high among returning veterans, with numerous studies linking PTSD, but not specific PTSD symptoms, to future SUD risk. Further explication of PTSD symptom effects on future SUD risk will likely promote intervention development and refinement while offsetting SUD risk. Accordingly, In this study we explored the prospective associations between PTSD symptom clusters, symptoms, and future SUD risk and use of specific drug classes. Returning veterans (N = 1,295; Mage = 42.3, SD = 9.89; 51% female; 66.8% White) completed structured diagnostic interviews to assess PTSD symptoms and self-report measures of substance use 14-36 months later (M = 24.59, SD = 2.97). Hyperarousal and reckless/self-destructive symptoms specifically predicted future high-risk drug use and binge drinking behavior, and avoidance of internal stimuli (i.e., of trauma memories, thoughts, and feelings) differentiated individuals classified as high-risk for alcohol use based on their AUDIT total score. Further, negative alterations in cognition and mood predicted future opioid (i.e., nightmares) and stimulant use (i.e., flashbacks), whereas concentration difficulties were inversely associated with future binge drinking. This longitudinal study identified prospective and enduring associations between specific PTSD symptom clusters, symptoms, and future high-risk substance use patterns among returning veterans. Accordingly, careful assessment of specific PTSD criteria and differential motivations for substance use is warranted, along with tailored interventions to offset risk for opioid, stimulant, and alcohol use among returning veterans. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Clinical correlation of lymphovascular invasion and Silva pattern of invasion in early-stage endocervical adenocarcinoma: proposed binary Silva classification system

Silva invasion pattern can help predict lymph node metastasis risk in endocervical adenocarcinoma. We analysed Silva pattern of invasion and lymphovascular invasion to determine associations with clinical outcomes in stage IA and IB1 endocervical adenocarcinomas. International Federation of Gynecology and Obstetrics (FIGO; 2019 classification) stage IA-IB1 endocervical adenocarcinomas from 15 international institutions were examined for Silva pattern, presence of lymphovascular invasion, and other prognostic parameters. Lymph node metastasis status, local/distant recurrences, and survival data were compared using appropriate statistical tests. Of 399 tumours, 152 (38.1%) were stage IA [IA1, 77 (19.3%); IA2, 75 (18.8%)] and 247 (61.9%) were stage IB1. On multivariate analysis, lymphovascular invasion (p=0.008) and Silva pattern (p<0.001) were significant factors when comparing stage IA versus IB1 endocervical adenocarcinomas. Overall survival was significantly associated with lymph node metastasis (p=0.028); recurrence-free survival was significantly associated with lymphovascular invasion (p=0.002) and stage (1B1 versus 1A) (p=0.002). Five and 10 year overall survival and recurrence-free survival rates were similar among Silva pattern A cases and Silva pattern B cases without lymphovascular invasion (p=0.165 and p=0.171, respectively). Silva pattern and lymphovascular invasion are important prognostic factors in stage IA1-IB1 endocervical adenocarcinomas and can supplement 2019 International Federation of Gynecology and Obstetrics staging. Our binary Silva classification system groups patients into low risk (patterns A and B without lymphovascular invasion) and high risk (pattern B with lymphovascular invasion and pattern C) categories.

A Novel Risk Score Model Based on Eleven Extracellular Matrix-Related Genes for Predicting Overall Survival of Glioma Patients.

Gliomas are the most common lethal primary brain tumors with variable survival outcomes for patients. The extracellular matrix (ECM) is linked with clinical prognosis of glioma patients, but it is not commonly used as a clinical indicator. Herein, we investigated changes in ECM-related genes (ECMRGs) via analyzing the transcriptional data of 938 gliomas from TCGA and CGGA datasets. Based on least absolute shrinkage and selection operator (LASSO) Cox regression analysis, a 11-ECMRG signature that is strongly linked with overall survival (OS) in glioma patients was identified. This signature was characterized by high-risk and low-risk score patterns. We found that the patients in the high-risk group are significantly linked with malignant molecular features and worse outcomes. Univariate and multivariate Cox regression analyses suggested that the signature is an independent indicator for glioma prognosis. The prediction accuracy of the signature was verified through time-dependent receiver operating characteristic (ROC) curves and calibration plots. Further bioinformatics analyses implied that the ECMRG signature is strongly associated with the activation of multiple oncogenic and metabolic pathways and immunosuppressive tumor microenvironment in gliomas. In addition, we confirmed that the high-risk score is an indicator for a therapy-resistant phenotype. In addition to bioinformatics analyses, we functionally verified the oncogenic role of bone morphogenetic protein 1 (BMP1) in gliomas in vitro.

Characterizing tobacco and marijuana use among youth combustible tobacco users experiencing homelessness \u2013 considering product type, brand, flavor, frequency, and higher-risk use patterns and predictors

BackgroundCigarette smoking is three times more prevalent among youth experiencing homelessness compared with the general population. Co-use of tobacco and marijuana is also common. The aim of this study is to characterize tobacco and marijuana use among youth experiencing homelessness who use combustible tobacco in a Midwestern city to inform smoking cessation intervention.MethodsThis study included 96 youth (ages 14–24 years; 52% male, 39% female, 5% transgender/non-binary) attending a homeless drop-in center who had used at least one combustible tobacco product in the past week. We assessed past-month use of tobacco products and marijuana, other product use characteristics (e.g., frequency, brand and flavor), and psychosocial predictors of more frequent (i.e., daily) use of combustible tobacco and marijuana.ResultsMost youth experiencing homelessness with past-week combustible tobacco use had used cigarettes (n = 85, 88.5%), cigars (n = 89, 92.7%), and marijuana (n = 82, 85.4%) in the past month. One-third (n = 34) used electronic vapor products (EVPs), 19.8% (n = 19) smoked hookah, and 11.5% (n = 11) used smokeless tobacco (ST). Most marijuana users co-administered with tobacco (n = 67, 69.8%). Daily combustible tobacco smoking was associated with having a child and smoking out of boredom/habit. Daily marijuana use was associated with using substances to cope with one’s housing situation. Newport (n = 66, 72.5%) and Black & Mild (n = 48, 51.1%) were the most popular brands of cigarettes and cigars among ever users. Most non-combustible tobacco ever users reported not having a usual brand (EVPs: n = 51, 73.9%; ST: n = 16, 57.1%). Cigar smokers reported the most varied selection of flavors.ConclusionsYoung combustible tobacco users experiencing homelessness engage in high-risk use patterns, including poly-tobacco use, co-use of tobacco with marijuana, and frequent combustible product use. Interventions that consider the full context of tobacco and marijuana use are needed to support smoking cessation in this population.

Insulin-like growth factor-1 (IGF-1) as predictor of cardiovascular mortality in heart failure patients: data from the T.O.S.CA. registry

IntroductionData from the “Trattamento Ormonale nello Scompenso CArdiaco” (T.O.S.CA) registry showed that heart failure (HF) represents a complex clinical syndrome with different hormonal alterations. Renal failure represents a frequent complication in HF. We evaluated the relationship between renal function and insuline-like growth factor-1 (IGF-1) deficiency and its impact on cardiovascular mortality (CVM) in patients enrolled in the T.O.S.CA. registry.MethodsAt the enrolment, all subjects underwent chemistry examinations, including circulating hormones and cardiovascular functional tests. COX regression analysis was used to evaluate factors related to CVM during the follow-up period in all populations, in high-risk patients and in the young-adult population. Also, we evaluate the effects of renal function on the CVM.Results337 patients (41 deceased) were analyzed. CVM was related to severe renal dysfunction (HR stages IV–V = 4.86), high-risk conditions (HR 2.25), serum IGF-1 (HR 0.42), and HF etiology (HR 5.85 and HR 1.63 for valvular and ischemic etiology, respectively). In high-risk patients, CVM was related to IGF-1 levels, severe renal dysfunction and valvular etiology, whereas in young patients CMV was related to the high-risk pattern and serum IGF-1 levels.ConclusionsOur study showed the clinical and prognostic utility of the IGF-1 assay in patients with HF.