95th Percentile Research Articles

The cost of operational complexity: A causal assessment of pre-fire mitigation and wildfire suppression

Pre-fire mitigation efforts that include the installation and maintenance of fuel breaks are integral to wildfire suppression in Southern California. Fuel breaks alter fire behavior and assist in fire suppression at strategic locations on the landscape. However, the combined effectiveness of fuel breaks and wildfire suppression is not well studied. Using daily firefighting personnel to proxy the quantity and diversity of potential fire suppression operations (i.e., operational complexity), we examined 15 wildfires from 2017 to 2020 in the Los Padres, Angeles, San Bernardino, and Cleveland National Forests to assess how weather and site-specific fuel break characteristics influenced wildfire containment when leveraged during suppression operations. After removing effects of fuel treatments, wildfire and aerial firefighting, we estimated that expanding fuel break width in grass-dominant systems from 10 to 100 m increased the average success rate against a heading fire from 31 % to 41 %. Likewise, recently cleared fuel breaks had higher success rates compared to poorly maintained fuel breaks in both grass (25 % to 45 %) and shrub systems (20 % to 45 %). Combined, grass and shrub systems exhibited an estimated success rate of 80 % under mild weather conditions (20th percentile) and 19 % under severe weather (80th percentile). Other significant determinants included forb and grass production, adjacent tree canopy cover and terrain. Consistent with complexity theory and previous suppression effectiveness research, our analysis showed signs of suppression effectiveness declining as firefighter personnel increased. Future work could better account for the role of suppression with improved data on firefighting resource types, actions, locations, and timing.

Evaluation of the impact of cardiac implantable electronic devices on cine MRI for real-time adaptive cardiac radioablation on a 1.5 T MR-linac.

Stereotactic arrhythmia radioablation (STAR) is a novel treatment approach for refractory ventricular tachycardia (VT). The risk of treatment-induced toxicity and geographic miss can be reduced with online MRI-guidance on an MR-linac. However, most VT patients carry cardiac implantable electronic devices (CIED), which compromise MRimages. Robust MR-linac imaging sequences are required for cardiac visualization and accurate motion monitoring in presence of a CIED during MRI-guided STAR. We optimized two clinically available cine sequences for cardiorespiratory motion estimation in presence of a CIED on a 1.5 T MR-linac. The image quality, motion estimation accuracy, and geometric fidelity using these cine sequences wereevaluated. Clinically available 2D balanced steady-state free precession (bSSFP, voxel size = 3.0 3.0 10 mm3, Tscan = 96 ms, bandwidth (BW) = 1884 Hz/px) and -spoiled gradient echo ( -GRE, voxel size = 4.0 4.0 10 mm3, Tscan = 97 ms, BW = 500 Hz/px) sequences were adjusted for real-time cardiac visualization and cardiorespiratory motion estimation on a 1.5 T Unity MR-linac (Elekta AB, Stockholm, Sweden), while complying with safety guidelines for MRI in presence of CIEDs (specific absorption rate 2 W/kg and 80 mT/s). Cine acquisitions were performed in five healthy volunteers, with and without an implantable cardioverter- defibrillator (ICD) placed on the clavicle, and a VT patient. Generalized divergence-curl (GDC) deformable image registration (DIR) was used for automated landmark motion estimation in the left ventricle (LV). Gaussian processes (GP), a machine-learning technique, was trained using GDC landmarks and deployed for real-time cardiorespiratory motion prediction. -mapping was performed to assess geometric image fidelity in the presence ofCIEDs. CIEDs introduced banding artifacts partially obscuring cardiac structures in bSSFP acquisitions. In contrast, the -GRE was more robust to CIED-induced artifacts at the expense of a lower signal-to-noise ratio. In presence of an ICD, image-based cardiorespiratory motion estimation was possible for 85% (100%) of the volunteers using the bSSFP ( -GRE) sequence. The in-plane 2D root-mean-squared deviation (RMSD) range between GDC-derived landmarks and manual annotations using the bSSFP (T1-GRE) sequence was 3.1-3.3 (3.3-4.1) mm without ICD and 4.6-4.6 (3.2-3.3) mm with ICD. Without ICD, the RMSD between the GP-predictions and GDC-derived landmarks ranged between 0.9 and 2.2 mm (1.3-3.0 mm) for the bSSFP (T1-GRE) sequence. With ICD, the RMSD between the GP-predictions and GDC-derived landmarks ranged between 1.3 and 2.2 mm (1.2-3.2 mm) using the bSSFP (T1-GRE) sequence resulting in an RMSD-increase of 42%-143% (bSSFP) and -61%-142% (T1-GRE). Lead-induced spatial distortions ranged between -0.2 and 0.2 mm (-0.7-1.2 mm) using the bSSFP ( -GRE) sequence. The 98th percentile range of the spatial distortions in the gross target volume of the patient was between 0.0 and 0.4 mm (0.0-1.8 mm) when using bSSFP ( -GRE). Tailored bSSFP and -GRE sequences can facilitate real-time cardiorespiratory estimation using GP trained with GDC-derived landmarks in the majority of landmark locations in the LV despite the presence of CIEDs. The need for high temporal resolution noticeably reduced achievable spatial resolution of the cine MRIs. However, the effect of the CIED-induced artifacts is device, patient and sequence dependent and requires specific assessment percase.

The association of plasma asprosin with anthropometric and metabolic parameters in Korean children and adolescents

BackgroundThis study aimed to determine the correlation of plasma asprosin with anthropometric and metabolic parameters in Korean children and adolescents.MethodsThis single-center study included 109 Korean children and adolescents: 62 (56.9%) obese participants with a body mass index (BMI) ≥95th percentile and 47 (43.1%) healthy controls with BMI between the 15th and 85th percentile. Metabolic parameters were measured, including fasting blood glucose, fasting insulin, homeostasis model assessment of insulin resistance (HOMA-IR), triglyceride and glucose (TyG) index, and lipid profiles.ResultsPlasma asprosin levels were higher in the obese group than in the control group (mean 87.0 vs. 69.3 ng/mL; p = 0.001) and in the IR group than in the non-IR group (mean 98.6 vs. 70.2 ng/mL; p < 0.001). Plasma asprosin levels were not associated with sex or pubertal stage. Plasma asprosin levels were positively correlated with BMI SDS (r = 0.34; p = 0.002), glycated hemoglobin (HbA1c) (r = 0.25; p = 0.02), glucose (r = 0.33; p = 0.002), insulin (r = 0.44; p < 0.001), HOMA-IR (r = 0.47; p < 0.001), triglyceride (TG) (r = 0.33; p = 0.003), high-density lipoprotein (HDL) cholesterol (r = -0.29; p = 0.008), and TyG index (r = 0.38; p < 0.001). Multiple linear regression analysis indicated that plasma asprosin levels were independently associated with HOMA-IR (p < 0.001) and TG/HDL cholesterol ratio (p < 0.001).ConclusionsThis study demonstrated an association between plasma asprosin levels and obesity and insulin resistance in Korean children and adolescents.

Mortality Patterns of Esophageal Cancer in the United States: A 21-Year Retrospective Analysis.

Esophageal cancer (EC) is the sixth leading cause of cancer-related deaths in the United States, with a mere 20% survival rate in the first 5 years, making it a significant public health concern. Considering the lack of comprehensive evaluations of mortality trends, this study aims to provide an update on the mortality rates of esophageal cancer and its trends in the United States. The mortality trends among adults with EC were analyzed using data from the CDC WONDER database. Crude and age-adjusted mortality rates (AAMRs) per 100,000 people were extracted. Annual percent changes (APCs) in AAMRs with 95% CI were obtained using joinpoint regression analysis across different demographic (sex, race/ethnicity, and age) and geographic (state, urban-rural, and regional) subgroups. Between 1999 and 2020, 309,725 documented deaths were attributed to esophageal cancer. The overall AAMR decreased from 1999 to 2020 (6.69 to 5.68). Males had higher consistently higher AAMRs than females (10.96 vs. 2.24). NH White had the highest overall AAMR (6.88), followed by NH Black (6.46), NH American Indian (4.95), Hispanic or Latino (3.31), and NH Asian or Pacific Islander (2.57). AAMR also varied by region (overall AAMR: Midwest: 7.18; Northeast: 6.75; South: 6.07; West: 5.76), and nonmetropolitan areas had higher AAMR (non-core areas: 7.09; micropolitan areas: 7.19) than metropolitan areas (large central metropolitan areas: 5.75; large fringe areas: 6.33). The states in the upper 90th percentile of esophageal cancer-related AAMR were Vermont, District of Columbia, West Virginia, Ohio, New Hampshire, and Maine, and exhibited an approximately two-fold increase in AAMRs, compared with states falling in the lower 10th percentile. Over the last 2 decades, there has been an overall decline in mortality related to EC in the United States. However, demographic and geographic discrepancies in EC-related mortality persist, necessitating additional exploration and development of specifically directed treatments.

Associations between multi-metal joint exposure and decreased estimated glomerular filtration rate (eGFR) in solar greenhouse workers: a study of a unique farmer group

BackgroundSolar greenhouse workers, a unique farmer group, have been reported to have a higher risk of chronic kidney disease (CKD) compared to the general population, possible due to exposure to multiple metals. ObjectiveThis study aimed to investigate the associations between exposure to multiple metals and the estimated glomerular filtration rate (eGFR). MethodsA cross-sectional study was conducted in the Northwest China. Urine samples were tested for concentration of 14 metals, including chromium, manganese, iron, et al. Blood creatinine was measured to calculate eGFR, which was to evaluate the kidney function. Linear model and the Bayesian Kernel Machine Regression (BKMR) models were used to evaluate the associations between metals exposure and eGFR. ResultThe study included 281 solar greenhouse workers, with 128 (45.6%) males and 153 (54.4%) females. The highest median concentrations of metals were zinc (418.55 μg/L), strontium (368.77 μg/L), and iron (55.73 μg/L), respectively. The linear model analysis showed that urinary levels of copper and zinc were negatively associated with eGFR [β = -0.021, 95% CI (-0.048, -0.007); β = -0.018, 95% CI (-0.068, -0.005)] considering a false discovery rate. BKMR results indicated a significant overall negative effect of 14 metals exposure on the eGFR when all metal levels were above the 50th percentile compared to the median value. ConclusionsThe decrease in eGFR among solar greenhouse workers was related to mixed metal exposure. Reducing exposure to the metals of copper, zinc, and lead could effectively protects kidney function. Further prospective studies are needed to resolve concerns about reverse causality.

A-211 Lipids in the Afternoon: Effect on LDL-C, Triglycerides, and Collection Time When Removing Fasting Requirements for Lipid Panels

Abstract Background Calculated LDL cholesterol (LDL-C) is a standard component of the lipid panel and an important risk factor in managing atherosclerotic cardiovascular disease (ASCVD). Due to the assumptions in the derivation of the Friedwald formula, fasting (≥8 hours) and triglyceride levels ≤400mg/dL have long been recommended. More recent data have shown that in most cases fasting has minimal effect on results, leading to the endorsement of non-fasting lipid panels for routine evaluation of ASCVD risk in clinical practice guidelines. Furthermore, newer equations (e.g. Sampson-NIH) allow for more accurate estimation of LDL-C even in the presence of hypertriglyceridemia. Mayo Clinic has implemented the Sampson-NIH LDL-C calculation and removed fasting/non-fasting designation from lipid panel orders. We hypothesized that the change to fasting designation would allow more afternoon draws for routine lipid panels and that increased non-fasting collections may increase triglyceride levels, but that the Sampson-NIH equation would prevent bias in LDL-C estimation. In order to test these hypotheses, we analyzed patient data from 1 year prior and 1 year post-implementation. Methods Results of lipid panels performed for one year preceding (n=334,719) and one year after (n=381,804) removal of the fasting/non-fasting designation and implementation of Sampson-NIH equation were collected. Median, 10th, and 90th percentile of draw time, triglyceride, and LDL-C calculated by either Sampson-NIH or Friedwald formulas were compared by quantile regression. Results Draw times shifted post-implementation at the 10th percentile (7:06 vs. 7:10, p<0.0001), median (8:49 vs. 9:08, p<0.0001) and 90th (12:02 vs. 13:46, p<0.0001). No difference in median triglyceride measurement was observed between pre-and post-implementation (110mg/dL), but slight differences were observed in the 10th and 90th percentile values (60 vs 59mg/dL and 224 vs 229mg/dL, p<0.0001). No difference was observed in 10th, 50th, or 90th percentile LDL values when calculated by Sampson-NIH equation (56, 99, 153mg/dL); however, if the Friedwald formula is used, a slight shift is observed in the 10th and 50th percentile LDL values (54 vs. 53, 97 vs. 96; p<0.0001) but not the 90th (150mg/dL). Conclusions Changing to the Sampson/NIH formula for LDL-C and removing fasting vs. non-fasting designation from routine lipid panels had minimal effect on reported triglyceride and LDL-C values, while allowing increased flexibility in draw time and reporting of LDL-C on patients with triglycerides ≥400mg/dL. Patients with TG ≥400mg/dL represented 1.7% of the dataset overall, including 5,387 patients before the change in which LDL-C could not be reported and 6,697 patients in the year post-implementation for whom LDL-C was reported based on the Sampson-NIH formula. Using an equation that is robust in patients with elevated triglyceride levels and removing fasting requirements from routine lipid panels allows greater flexibility and convenience for patients while allowing for more even distribution of phlebotomy workload and reporting of LDL-C results for patients with hypertriglyceridemia without evidence of clinically significant bias in reported results.

A-017 Clinical Performance Evaluation of the Atellica IM High-Sensitivity Troponin I Assay to Aid in Risk Stratification for All-Cause Mortality and Major Adverse Cardiac Events

Abstract Background Cardiac troponin I (cTnI) is the only troponin isoform present in the myocardium, where it binds to actin and inhibits actin and myosin interaction. Upon myocardial injury, cTnI is released into circulation and serial measurements can be used to aid in the diagnosis of acute myocardial infarction (AMI). In addition, in patients presenting with signs and symptoms of acute coronary syndrome (ACS), elevated cTnI levels provide useful prognostic information relative to short and long-term risk of all-cause mortality (ACM) and major adverse cardiac events (MACE). The objective of this study was to evaluate the clinical performance of the Atellica® IM TNIH assay to aid in risk stratification for ACM/MACE*. Methods Patients from 29 emergency departments (ED) across the United States presenting with signs and symptoms suggestive of ACS were followed for 30-, 90-, and 365-day progression to ACM/MACE (consisting of myocardial infarction, urgent revascularization, cardiac death, or heart failure hospitalization). At each timepoint, the risk (cumulative incidence) and hazard ratios were calculated for populations with baseline cTnI levels ≤ or > the 99th percentile value. Kaplan-Meier curves were generated to display the absolute risk (cumulative incidence) of ACM/MACE outcomes. Analyses were performed for all enrolled patients (entire population) and separately for the entire population excluding those with an adjudicated AMI at presentation. Analyses were performed separately for both serum and plasma (lithium heparin) sample types. Results For the Entire Population cohort, the binary baseline TNIH result (TNIH > overall 99th percentile or ≤ overall 99th percentile) was significantly associated with 30-, 90-, and 365-day cumulative ACM/MACE (p-value<0.0125) for both plasma and serum samples. For plasma samples, risk difference increased from 6.27% at day 30 to 19.62% at day 365. For serum samples, risk difference increased from 6.24% at day 30 to 18.71% at day 365. Cox proportional hazard regression analysis compared the TNIH 99th percentile groups in their hazard of experiencing an ACM/MACE event in the 30-, 90-, and 365-days post ED presentation. For plasma samples, the hazard of ACM/MACE for subjects with cTnI values above the TNIH 99th percentile was relatively constant at each follow-up interval as more than double the rate of subjects below the 99th percentile; hazard ratios ranged between 2.81 (p-value<0.0001) and 3.49-fold (p-value<0.0001) for the three follow up visits. For serum samples, the hazard ratios were between 2.69 (p-value<0.0001) and 3.28-fold (p-value<0.0001) for the three follow up visits. Similar results were obtained for the Entire Population Excluding Subjects with Adjudicated AMI During Initial Presentation cohort. Conclusions The Atellica IM TNIH assay can be used in the detection of myocardial injury and can aid in risk stratification for 30-, 90-, and 365-day all-cause mortality (ACM) and major adverse cardiac events (MACE) in patients presenting with signs and symptoms suggestive of acute coronary syndrome (ACS). *This prognostic claim is not available in the United States.

The impact of cohort inclusion/exclusion criteria on pregnancy weight gain chart percentiles.

Pregnancy weight gain standards are charts describing percentiles of weight gain among participants with no risk factors that could adversely affect weight gain. This detailed information is burdensome to collect. We investigated the extent to which exclusion of various pre-pregnancy, pregnancy and postpartum factors impacted the values of pregnancy weight gain percentiles. We examined pregnancy weight gain (kg) among 3178 participants of the US nuMoM2b-Heart Health Study (HHS). We identified five groups of potential exclusion criteria for pregnancy weight gain standards: socio-economic characteristics (group 1), maternal morbidities (group 2), lifestyle/behaviour factors (group 3), adverse neonatal outcomes (group 4) and longer-term adverse outcomes (group 5). We established the impact of different exclusion criteria by comparing the median, 25th and 75th percentiles of weight gain in the full cohort with the values after applying each of the five exclusion criteria groups. Differences > 0·75 kg were considered meaningful. Excluding participants with group 1, 2, 3 or 4 exclusion criteria had no impact on the 25th, median or 75th percentiles of pregnancy weight gain. Percentiles were only meaningfully different after excluding participants in group 5 (longer-term adverse outcomes), which shifted the upper end of the weight gain distribution to lower values (e.g. 75th percentile decreased from 19·6 kg to 17·8 kg). This shift was due to exclusion of participants with excess postpartum weight retention > 5 kg or > 10 kg. Except for excess postpartum weight retention, most potential exclusion criteria for pregnancy weight gain standards did not meaningfully impact chart percentiles.

A-002 Analytical Validation of the Zybio High Sensitivity Cardiac Troponin I CLIA Assay

Abstract Background High-sensitivity cardiac troponin (hs-cTn) plays a pivotal role in the early diagnosis of Acute Coronary Syndrome (ACS). With technological advancements, the sensitivity of troponin assays has significantly improved. The International Federation of Clinical Chemistry (IFCC) criteria for hs-cTn assays include a total imprecision (Coefficient of Variation, CV) ≤10% at the gender-specific 99th percentile value and detectable levels in ≥50% of a healthy population. This study aims to evaluate the performance of Zybio's hs-cTnI assay against these high-sensitivity standards Methods This study involved 1661 individuals undergoing routine health checks at Chongqing Medical University Third Hospital. Exclusion criteria included recent medication use, abnormal NT-proBNP levels, significant cardiac silhouette changes in chest X-rays, age <20, incomplete data, pregnancy, or history of severe chronic diseases. Participants were classified into apparent healthy and healthy groups based on blood pressure, lipid profiles, and electrocardiogram results. Laboratory examinations included hs-cTn and NT-ProBNP concentrations using Zybio's chemiluminescence instrument EXI2400 and associated reagent kits, with other parameters measured using standard biochemical and high-performance liquid chromatography methods. Results Of the 1247 participants (556 males, 691 females) included in the final analysis, 1157 showed detectable hs-cTnI levels above the limit of detection (LOD), yielding an overall detection rate of 92.78%. Detection rates were 93.71% in males and 92.04% in females. The total imprecision (CV) of hs-cTnI at gender-specific 99th percentile values over 20 days was below 10%, meeting the high-sensitivity criteria. This finding was consistent across lower and higher concentration ranges. Conclusions The Zybio hs-cTnI assay demonstrated a high detection rate in a healthy population, with 92.78% detectability overall, 93.71% in males, and 92.04% in females. The assay met the high-sensitivity criteria of IFCC, with a total imprecision (CV) of less than 10% at the gender-specific 99th percentile levels. These results validate the utility of Zybio's hs-cTnI assay for clinical application in the early diagnosis of ACS.

Chemical Complementarity of Blood-Sourced, Breast Cancer-Related TCR CDR3s and the CMV UL29 and IE1 Antigens is Associated with Worse Overall Survival.

Cytomegalovirus (CMV) infection is common and becomes a particular concern in immunocompromised patients. Understanding the potential role CMV plays in breast cancer patients' disease progression is important for providing more patient-specific treatments. In this study, we analyzed whether a breast cancer patient's blood-sourced T-cell receptor (TCR) complementarity determining-3 (CDR3)amino acid (AA) sequences could provide an indication of the impact of a systemic CMV infection. Specifically, we assessed the chemical complementarity of patient TCR CDR3 AAs and CMVantigens to determine whether patients with greater complementarity also represented different survivalprobabilities. Initially, we examined five distinct CMV antigens, of which two, IE1 and UL29, represented TCR (TRA+ RB)-CDR3-CMV antigen complementarity scores (CSs) whereby cases representing the upper 50th percentile of CSs had a worse overall survival (log-rank p = 5.034E-3, for IE1). Then, an analysis of CSs representing previously identified, TCR IE1 epitopes indicated that greater TRB CDR3-IE1 epitope complementarities represented a worse OS (log-rank p = 0.0111). These results raise the question of whether a systemic, anti-CMV response leads to increased systemic inflammation, which is either directly or indirectly supportive of tumor growth; or are patients succumbing to a direct impact of CMV functions on tumor growth or metastasis?

Argentine reference charts for head circumference from birth to 19 years of age.

Introduction. Head circumference (HC) is an indicator of brain growth; growth charts are necessary to determine normal or pathological variations. Objectives. To present the first Argentine HC reference charts between birth and 19 years of age and to compare them with the Nellhaus charts, which have been used in our country to date. Population and methods. These references were developed based on combined data from the National Survey on Nutrition and Health of 2018 and cross-sectional studies conducted between 2004 and 2007 in the provinces of Buenos Aires and La Pampa, which included 8326 healthy children and adolescents. Growth curves were adjusted using the LMS method. To assess the differences between these reference charts and the Nellhaus charts, at different ages, the 2nd, 50th, and 98th percentiles were plotted. Results. HC showed a variable increase in size with age, which was greater in the first years of life, and a slight increase at puberty. The values for the 98th percentile of the Argentine reference charts werehigher than those of the Nellhaus charts at all ages. The values for the 2nd percentile of the national reference were lower than those of the Nellhaus charts during the first 2 years of life, similar between 3 and 7 years of age, and higher after this age. Conclusions. The Argentine curves adequately describe the growth pattern of HC. The differences found with the Nellhaus charts may be attributed to secular changes.

Deep phenotyping of 11 individuals with pathogenic variants in RNU4-2 reveals a clinically recognizable syndrome

PurposeDespite ever-increasing knowledge of the genetic etiologies of neurodevelopmental disorders, approximately half remain undiagnosed following exome or genome sequencing. Here, we provide a deep clinical characterization of 11 previously unreported patients with a recently described neurodevelopmental disorder (NDD) due to pathogenic variants in RNU4-2. MethodsThe eleven patients were identified in a pool of 70 patients selected for targeted RNU4-2 sequencing on the basis of their clinical phenotypes from a cohort of 1032 individuals with a NDD and without a prior genetic diagnosis. ResultsThe eleven patients were aged between 13 months and 36 years. All patients showed moderate to severe developmental delay and/or intellectual disability. Height and weight were below 10th percentile and most showed microcephaly. In almost 50% of the patients, intrauterine growth retardation was detected. All patients showed a distinctive pattern of dysmorphic features, including hooded upper eyelid and epicanthus, full cheeks, tented philtrum, mouth constantly slightly open with an everted lower lip vermilion, high palate and profuse drooling. Of 11 patients, 64% also presented with ophthalmological problems (mainly strabismus, nystagmus and refraction errors) and 64% had musculoskeletal features (joint hypermobility, mild scoliosis, easy fractures). ConclusionThis work provides an improved characterization of the phenotypic spectrum of RNU4-2 syndrome across different age groups, and demonstrates that thorough clinical assessment of patients with an NDD can be enhanced significantly for this novel syndrome.

Academic Radiology Physician Financial Compensation in the United States: Trends and Distribution.

Background The overall trends in academic radiology physician compensation are not well studied. Purpose To assess recent trends in academic radiology financial compensation and distribution based on rank, gender, race/ethnicity, and geography in U.S. medical schools. Materials and Methods This secondary analysis used deidentified data from the Association of American Medical Colleges (AAMC) Faculty Salary Report, which collects information for full-time faculty at U.S. medical schools. Financial compensation data for full-time academic radiology faculty was collected from 2017 to 2023, stratified by rank, gender, race/ethnicity, and geography. The faculty salary report includes median, 25th, and 75th percentile compensation values for each rank, which were used to analyze trends with linear regression. Median compensation values were used to compare groups based on gender, race/ethnicity, and region. Results The AAMC Faculty Salary Report data for 2023 included responses for 5847 faculty members across all radiology departments, including 306 instructors, 2758 assistant professors, 1409 associate professors, 1004 full professors, 226 chiefs, and 144 chairs. On average, median faculty compensation increased by 2.6%-4.4% per year from 2017 to 2023, with the greatest increase (by 4.4% per year) at the instructor level and smaller increases (3.4%-2.6%) at the more senior ranks. Male faculty members were consistently compensated more than women at all ranks throughout the study period. The overall salary gap remained at 6% ($455 000 for women vs $483 000 for men) throughout the study period but increased numerically from $24 000 in 2019 to $28 000 in 2023. Black/African American faculty had a lower median compensation compared with White faculty (by 4% overall; $452 000 for Black/African American faculty vs $472 000 for White faculty) at all ranks except at professor rank. Instructor compensation in the Northeast region was substantially higher (by $278 000) than other regions, but this geographic differential did not exceed $35 000 at other ranks. Conclusion This study summarized the trends of full-time academic radiology faculty compensation and showed persistent salary inequities that should be addressed as part of a broader drive to increase diversity, equity, and inclusion. © RSNA, 2024 Supplemental material is available for this article.

Hazardous wildfire smoke events can alter dawn soundscapes in dry forests of central and eastern Washington, United States

As global wildfire activity increases, wildlife are facing greater exposure to hazardous smoke pollution – with unknown consequences for biodiversity. Research on the effects of smoke on wild animals is extremely limited, in part due to the inherent logistical challenges of observing how animals respond to smoke in real time. Passive acoustic monitoring may be a powerful tool to safely and effectively monitor biodiversity before, during, and after major smoke events. In this study, we used data collected from a large-scale network of bioacoustic recorders at 92 sites in central and eastern Washington state during August–September, 2019–2020 to investigate the effect of wildfire smoke on dawn soundscapes and, by extension, acoustically active wildlife. We used acoustic indices to document and characterize changes in soundscapes related to smoke exposure, including the Acoustic Complexity Index (ACI), Bioacoustic Index (BI), and Normalized Difference Soundscape Index (NDSI). Higher values of these indices likely indicate higher levels of biodiversity in our study area. We hypothesized that wildfire smoke would reduce bird vocalizations, leading to declines in ACI, BI, and NDSI at dawn, when birds are most active. We used linear and quantile regression models to test for an effect of daily exposure to fine particulate matter (PM2.5), a marker of wildfire smoke, on the mean daily values and the upper 90th percentile of each index at dawn. We also conducted a before-during-after analysis of a particularly hazardous smoke event that impacted our study area on September 12–14, 2020. We did not observe linear effects of daily PM2.5 on average or peak daily values of acoustic indices; however, we did observe a significant reduction in ACI and BI during the three-day smoke event in 2020 and in the two weeks following this air pollution episode. Our results indicate that, on average, ACI and BI were reduced by 2.7 % and 15.9 % during and 1.5 % and 11.0 % afterward, respectively. These findings add further evidence that wildfire smoke alters soundscapes, likely due to changes in the presence, abundance, or behavior of acoustically active animals. Furthermore, our study demonstrates that wildfire smoke may have delayed and/or cumulative effects on acoustically active wildlife. Our study highlights the potential for passive acoustic monitoring to document wildlife responses to smoke pollution and identify potentially relevant exposure periods.

The risk of hospitalization associated with hot nights and excess nighttime heat in a subtropical metropolis: a time-series study in Hong Kong, 2000–2019

Recent studies showed increased mortality risks after hot nights, but their effect on hospitalizations, especially in vulnerable populations, remains under-studied. Daily hospitalization, meteorological (including hourly), and air pollution data were collected for the hot seasons (May-October) of 2000-19 in Hong Kong. We derived three hot-night metrics: HNday28 °C, daily minimum temperature ≥28°C, the governmental definition of hot nights; HNe, hot night excess calculated by summing heat excess of hourly temperatures above 28°C at night; and HNday90th, hot nights classified using the 90th percentile HNe (17.7°C⋅h) as a cutoff. We fitted time-series regression with distributed lag nonlinear models to examine the associations of hot-night metrics with various hospitalizations. During the 3680 study days, 5,002,114 non-cancer non-external (NCNE) hospitalizations were recorded. Half (1874) of the days experienced excess nighttime heat (HNe>0) with a mean (SD) of 8.0 (6.8) °C⋅h; 499 and 187 hot nights were identified by HNday28 °C and HNday90th, respectively. Extreme HNe (99th percentile vs 0°C⋅h) was significantly associated with increased NCNE hospitalizations over lag 0-4 days by 3.1% [95% confidence interval: 1.5%, 4.8%] overall, with enhanced effects in elderly (5.3% [3.2%, 7.4%]), low-SES individuals (5.3% [2.8%, 8.0%]), and circulatory admissions (3.4% [0.2%, 6.8%]). HNday90th, reflecting extreme HNe, better identified hazardous hot nights than the official HNday28 °C. Excessive nighttime heat is significantly associated with increased hospitalizations, particularly affecting the elderly and socioeconomically disadvantaged individuals. Nighttime heat intensity should be incorporated in defining hot nights with public health relevance. British Heart Foundation.

Coagulation profiles and percentiles in neonates with hypoxic-ischemic encephalopathy undergoing therapeutic hypothermia: A step toward more accurate transfusion thresholds.

In the literature, there are no studies about the transfusion threshold for neonates with hypoxic-ischemic encephalopathy (HIE) undergoing therapeutic hypothermia (TH). In order to facilitate accurate interpretation of coagulation results in these neonates, we aimed to generate specific reference intervals in this specific population. This retrospective study included all HIE neonates admitted from 2014 to 2022 to undergo TH. All infants during TH underwent blood exams, including the coagulation profile. Our primary outcome was to assess the estimates of the 3rd, 10th, 25th, 50th, 75th, 90th, and 97th percentiles for each parameter on admission (before transfusion). By the receiver operating characteristic (ROC) analysis, the area under the ROC curve (AUC) and the best cut-off point were used to evaluate the ability of the prothrombin time expressed as international normalized ratio (PT-INR) to predict the risk of any bleeding. A total of 143 infants were included in this study. On admission, the median fibrinogen value was 205mg/dL, prothrombin time 18.6seconds, PT-INR 1.50, activated partial thromboplastin time 38.3seconds, thrombin time 18.6seconds, antithrombin 57.0%. The optimal cut-off of PT-INR in predicting the risk of any bleeding was greater than 1.84 (AUC.623, p=.024). For the first time, we proposed the percentiles of coagulation parameters in our cohort of neonates with HIE. Furthermore, we found that a PT-INR greater than 1.84 can significantly predict the risk of any bleeding. Further studies are needed to determine if a restrictive versus a liberal transfusion approach can be equally safer for these high-risk infants.

Hearing Loss, Hearing Aids, and Cognition.

Most observational studies examining the association between hearing loss (HL) and cognitive impairment used subjective measures of hearing and addressed only one dimension of cognition, and very few investigated the potential benefit of hearing aids (HAs). To evaluate objectively measured HL and several dimensions of cognition and estimate the association with HA use. A cross-sectional analysis of the CONSTANCES cohort study, which recruited participants from January 1, 2012, to December 31, 2020, was conducted. Participants were a representative sample of adults (age, 45-69 years) with audiometric data and cognitive evaluation from 21 preventive health centers in France. Data analysis was conducted from April 1 to September 15, 2023. The main exposure was HL, which was defined by a pure-tone average in the best ear higher than 20 dB hearing level for mild loss and 35 dB hearing level for disabling loss. Secondary exposure was self-reported HA use. Cognition was evaluated at study inclusion by a standardized battery of 5 cognitive tests conducted by trained neuropsychologists. A global cognitive score was computed from principal component analysis and global cognitive impairment was defined as having a score less than or equal to the 25th percentile of the distribution. The study population included 62 072 participants with audiometric data (mean [SD] age, 57.4 [7] years; 52% women). Overall, 38% (n = 23 768) had mild HL, 10% (n = 6012) had disabling HL, and 3% (n = 1668) were HA users. In multivariable analyses, mild HL (odds ratio [OR], 1.10; 95% CI, 1.05-1.15) and disabling HL (OR, 1.24; 95% CI, 1.16-1.33) were associated with greater global cognitive impairment. The odds of cognitive impairment did not differ significantly between all participants with HA use and participants with disabling HL without HAs (OR, 0.94; 95% CI, 0.83-1.07), except among participants with depression (OR, 0.62; 95% CI, 0.44-0.88). In this cohort study, an association between the severity of HL and global cognitive impairment was found. The use of HAs was not associated with significantly lower odds of cognitive impairment. The findings suggest that it may be useful to monitor cognitive function in middle-aged individuals with HL.

Patient-Specific Myocardial Infarction Risk Thresholds From AI-Enabled Coronary Plaque Analysis

BACKGROUND: Plaque quantification from coronary computed tomography angiography has emerged as a valuable predictor of cardiovascular risk. Deep learning can provide automated quantification of coronary plaque from computed tomography angiography. We determined per-patient age- and sex-specific distributions of deep learning–based plaque measurements and further evaluated their risk prediction for myocardial infarction in external samples. METHODS: In this international, multicenter study of 2803 patients, a previously validated deep learning system was used to quantify coronary plaque from computed tomography angiography. Age- and sex-specific distributions of coronary plaque volume were determined from 956 patients undergoing computed tomography angiography for stable coronary artery disease from 5 cohorts. Multicenter external samples were used to evaluate associations between coronary plaque percentiles and myocardial infarction. RESULTS: Quantitative deep learning plaque volumes increased with age and were higher in male patients. In the combined external sample (n=1847), patients in the ≥75th percentile of total plaque volume (unadjusted hazard ratio, 2.65 [95% CI, 1.47–4.78]; P =0.001) were at increased risk of myocardial infarction compared with patients below the 50th percentile. Similar relationships were seen for most plaque volumes and persisted in multivariable analyses adjusting for clinical characteristics, coronary artery calcium, stenosis, and plaque volume, with adjusted hazard ratios ranging from 2.38 to 2.50 for patients in the ≥75th percentile of total plaque volume. CONCLUSIONS: Per-patient age- and sex-specific distributions for deep learning–based coronary plaque volumes are strongly predictive of myocardial infarction, with the highest risk seen in patients with coronary plaque volumes in the ≥75th percentile.

Association of veteran suicide risk with state-level firearm ownership rates and firearm laws in the USA

BackgroundVeterans have higher suicide rates than matched non-veterans, with firearm suicides being especially prevalent among veterans. We examined whether state firearm laws and state firearm ownership rates are important risk...

Improved diagnostic performance of high-sensitivity cardiac troponins in muscle dystrophies using comprehensive definition criteria for cardiac involvement: A longitudinal study on 35 patients.

Sparse information is available on the correct interpretation of elevated high-sensitivity cardiac troponin (hs-cTn) in confirmed muscular dystrophies. Serum concentrations of hs-cTn T (hs-cTnT) and hs-cTn I (hs-cTnI) were determined in 35 stable outpatients with confirmed skeletal muscle dystrophies. We calculated sensitivities, specificities, and positive and negative predictive values of hs-cTnT and hs-cTnI for identification of cardiac involvement using a comprehensive definition that included diastolic left ventricular and right ventricular function, strain analysis using two-dimensional transthoracic echocardiogram and magnetic resonance imaging, myocardial biopsies, and consideration of a variety of triggers for cardiac injury, including arrhythmias, conduction disorders, and hypoxemia due to respiratory failure. Cardiac involvement was diagnosed in 34 of 35 cases. Specificities of hs-cTnT increased from 12.5% to 100% (p = 0.0006) applying the comprehensive definition compared to a definition based on electrocardiography and echocardiography alone. At the recommended 99th percentile upper limit of normal, sensitivities were significantly lower for hs-cTnI than for hs-cTnT (29.4% vs. 100%, p = 0.0164). Conversely, the specificities of hs-cTnT and hs-cTnI increased to 100% when using the comprehensive definition criteria for diagnosing cardiac involvement. Elevated hs-cTnT but not hs-cTnI discriminates cardiac involvement in cases with confirmed skeletal muscle dystrophies with very high sensitivity and 100% specificity. Prior reports on worse performance may be explained by the use of less sensitive imaging methods or incomplete assessment of cardiac involvement.