Racial Microaggressions and Anti-Racism: A Review of the Literature with Implications for School-Based Interventions and School Psychologists

Many racial-ethnic minoritized individuals are repeatedly exposed to subtle actions reflecting racial slights, termed racial microaggressions (RMAs), which are associated with adjustment problems in early adult and adult populations. Early adolescence represents a unique developmental period when minoritized youth begin their racial-ethnic identity exploration and are subjected to stereotypes and prejudice, thereby making them vulnerable to RMAs. Based upon the Preferred Reporting Items for Systematic Reviews and Meta-Analyses checklist, a systematic literature search, screening and review of RMA literature focusing on high schoolers and younger youth was conducted and yielded 54 publications. This paper reviewed the publications and identified gaps in the field such as the need for systematic research on early adolescents including the frequency and severity of RMAs and the important contributions of peers, parents and teachers for RMA victims, and the need for more evidence-based programming for middle schoolers. Findings suggest that developing school-based microaggression anti-racism programs is clearly needed for minoritized and White youth.

Impact of levosimendan on efficacy and renal function in acute heart failure according to renal function: A perspective, multi-center, real-world registry

Objective

Acute heart failure (AHF) is associated with high mortality. Levosimendan, an inodilator, has proved to increase cardiac output and exert renoprotective effect in AHF. Our aim was to investigate the efficacy and renoprotective effects of levosimendan in patients with AHF and different renal function.

Methods

This is a prospective, observational, multi-center registry. Patients admitted with AHF between June 2020 and May 2022 and treated with levosimendan during the hospital stay were included. Baseline characteristics, laboratory tests, electrocardiogram (ECG), chest X-ray, echocardiography, and treatment were collected. A 5-point Likert scale was used to document patients' baseline dyspnea. The estimated glomerular filtration rate (eGFR) was calculated by means of the Modification of Diet in Renal Disease equation. After levosimendan infusion, patients underwent assessment of degree of dyspnea, and levels of brain-type natriuretic peptide (BNP) /N-terminal pro-BNP (NT-pro BNP), and eGFR repeatedly.

Results

Among 789 AHF patients who received levosimendan treatment in this study, 33.0 % were female, mean age was 64.9 ± 16.8 years, and mean eGFR was 72.6 ± 32.5 ml/min/m². The mean score of dyspnea was 3.0 ± 1.0 using 5-point Likert scale before levosimendan infusion. Dyspnea improved in 68.7% patients at 6h after infusion of levosimendan, and in 79.5% at 24 h. Lower eGFR was associated with lower efficacy rate after 6h infusion (71.7, 70.7, 65.2, and 66.0%, respectively) and after 24 h infusion (80.5, 81.4, 76.2, and 77.8%, respectively). The levels of BNP or NT-pro BNP were also decreased after levosimendan treatment, and in each eGFR category. Levels of eGFR increased from baseline (72.6 ± 32.5 ml/min/m²) to 12–24h (73.8 ± 33.5 ml/min/m²) and 24–72h (75.0 ± 33.4 ml/min/m²) after starting treatment (p < 0.001). However, the eGFR levels increased only in patients with eGFR lower than 90.0 ml/min/m².

Conclusions

In AHF patients who received levosimendan, degree of dyspnea and levels of BNP or NT-pro BNP were significantly improved, especially in patients with higher eGFR levels. However, levosimendan infusion increase eGFR only in AHF patients with renal dysfunction.

Cancer Patients First Treated with Chemotherapy: Are They More Likely to Receive Surgery in the Pandemic?

Due to the ramping down of cancer surgery in early pandemic, many newly diagnosed patients received other treatments first. We aimed to quantify the pandemic-related shift in rate of surgery following chemotherapy. This is a retrospective population-based cohort study involving adults diagnosed with cancer between 3 January 2016 and 7 November 2020 in Ontario, Canada who received chemotherapy as first treatment within 6-months of diagnosis. Competing-risks regression models with interaction effects were used to quantify the association between COVID-19 period (receiving a cancer diagnosis before or on/after 15 March 2020) and receipt of surgical reSection 9-months after first chemotherapy. Among 51,653 patients, 8.5% (n = 19,558) of them ultimately underwent surgery 9-months after chemotherapy initiation. Receipt of surgery was higher during the pandemic than before (sHR 1.07, 95% CI 1.02-1.13). Material deprivation was independently associated with lower receipt of surgery (least vs. most deprived quintile: sHR 1.11, 95% CI 1.04-1.17), but did not change with the pandemic. The surgical rate increase was most pronounced for breast cancer (sHR 1.13, 95% CI 1.06-1.20). These pandemic-related shifts in cancer treatment requires further evaluations to understand the long-term consequences. Persistent material deprivation-related inequity in cancer surgical access needs to be addressed.

What is the prognostic value of lymph node yield on the outcomes of patients with oral cavity squamous cell carcinoma?

330

Background: Lymph node metastases are associated with poor prognosis in oral cavity squamous cell carcinoma (OCSCC). In colorectal, lung, and gastric cancers, the number of lymph nodes removed during primary surgery, lymph node yield (LNY), is an established quality indicator that links with patient survival. As such, clinical guidelines have included a minimum (18) number of nodes to be resected, despite a lack of statistical evidence that supports such a LNY threshold. Currently, this kind of recommendation does not exist for OCSCC. Here, we used a novel single-centre dataset to evaluate the prognostic capacity of LNY on regional failure, locoregional recurrence and disease-free survival (DFS) in patients with OCSCC treated by primary neck surgery. Methods: This retrospective cohort study took place at Sunnybrook Hospital in Toronto, Canada and involved chart review data of all adult patients with treatment-naive OCSCC undergoing primary neck dissection. For each outcome, we first used the maximally selected rank statistics and a bias-corrected C-index to identify an optimal threshold of LNY, and then used a multivariable Cox proportional hazards model to assess the association between high LNY (> threshold) and each outcome. Results: Among the 579 OCSCC patients receiving primary neck dissection, 61.7% (n = 357) were male with mean age of 62.9 years (SD: 13.1) at cancer diagnosis. When adjusting for sociodemographic and clinical factors, LNY > 15 was significantly associated with improved DFS (adjusted HR [aHR]: 0.73, 95% CI: 0.54-0.98) and locoregional control (aHR: 0.68, 95% CI: 0.49-0.95), while LNY > 11 was associated with better regional control (aHR: 0.45, 95% CI: 0.26-0.76). Conclusions: Our study findings suggested high LNY to be a strong independent predictor of various patient-level quality of surgical care metrics. The optimal LNY we found (15 or 11) was lower than the conventionally recommended (18), which calls for further research to establish the validity in practice.

Stress hyperglycemia ratio and long-term mortality after acute myocardial infarction in patients with and without diabetes: A prospective, nationwide, and multicentre registry

AIMS

To assess the predictive value of stress hyperglycemia ratio (SHR) for long-term mortality after acute myocardial infarction (AMI) in patients with and without diabetes.

MATERIALS AND METHODS

We evaluated 6892 patients with AMI from the prospective, nationwide, multicentre China Acute Myocardial Infarction registry, of which 2820 had diabetes, and the remaining 4072 were nondiabetic patients. Patients were divided into high SHR and low SHR groups according to the optimal cutoff values of SHR to predict long-term mortality for diabetic and nondiabetic patients, respectively. The primary endpoint was all-cause mortality at 2 years.

RESULTS

The optimal cutoff values of SHR for predicting 2-year mortality were 1.20 and 1.08 for the diabetic and nondiabetic population, respectively. Overall, patients with high SHR were significantly associated with higher all-cause mortality compared with those with low SHR, in both diabetic patients (18.5% vs. 9.7%; hazard ratio [HR] 2.01, 95% confidence interval 1.63-2.49) and nondiabetic patients (12.0% vs. 6.4%; HR 1.95, 95%CI 1.57-2.41). After the potential confounders were adjusted, high SHR was significantly associated with higher risks of long-term mortality in both diabetic (adjusted HR 1.73, 95%CI 1.39-2.15) and nondiabetic (adjusted HR 1.63, 95%CI 1.30-2.03) patients. Moreover, adding SHR to the original model led to a slight albeit significant improvement in C-statistic, net reclassification, and integrated discrimination regardless of diabetic status.

CONCLUSIONS

This study demonstrated a strong positive association between SHR and long-term mortality in patients with AMI with and without diabetes, suggesting that SHR should be considered a useful marker for risk stratification in these patients.

TRIAL REGISTRATION

ClinicalTrials.gov NCT01874691.

Spatiotemporal variations of water quality and their driving forces in the Yangtze River Basin, China, from 2008 to 2020 based on multi-statistical analyses

Water quality deterioration is a prominent issue threatening water security worldwide. As the largest river in China, the Yangtze River Basin is facing severe water pollution due to intense human activities. Analyzing water quality trends and identifying the corresponding driver factors are important components of sustainable water quality management. Thus, spatiotemporal characteristics of the water quality from 2008 to 2020 were analyzed by using a Mann-Kendall test and rescaled range analysis (R/S). In addition, multi-statistical analyses were used to determine the main driving factors of variation in the permanganate index (COD_Mn), ammonia nitrogen (NH₃-N) concentration, and total phosphorus (TP) concentration. The results showed that the mean concentrations of NH₃-N and TP decreased from 0.31 to 0.16 mg/L and 0.16 to 0.07 mg/L, respectively, from 2008 to 2020, indicating that the water quality improved during this period. However, the concentration of COD_Mn did not reduce remarkably. Based on R/S analysis, the NH₃-N concentration was predicted to continue to decrease from 2020 to 2033, whereas the COD_Mn concentration was forecast to increase, highlighting an issue of great concern. In terms of spatial distribution, water quality in the upstream was better than that of the mid-downstream. Multi-statistical analyses revealed that the temporal variation in water quality was predominantly influenced by tertiary industry (TI), the nitrogen fertilizer application rate (N-FAR), the phosphate fertilizer application rate (P-FAR), and the irrigation area of arable land (IAAL), with contribution rates of 15.92%, 14.65%, 3.46%, and 2.84%, respectively. The spatial distribution of COD_Mn was mainly influenced by TI, whereas that of TP was primarily determined by anthropogenic activity factors (e.g., N-FAR, P-FAR). This study provides deep insight into water quality evolution in the Yangtze River Basin that can guide water quality management in this region.

Efficient and synergistic degradation of fluoroquinolones by bacteria and microalgae: Design of environmentally friendly substitutes, risk regulation and mechanism analysis

Fluoroquinolones (FQs) are widely used as antimicrobial agents, and their nonbiodegradable in sewage has become an increasingly concerning. High-biochemical substitutes of FQs were designed with bacteria and microalgae as driving forces of biodegradation, and this is the first study on efficient synergistic degradation of FQs by multiple microorganisms. Among 143 designed FQ substitutes, only one was screened with high biodegradability (increased by 120.51 %), improved functional properties (genotoxicity: 13.66 %), less environmental impacts (bio-accumulation: -44.81 %), less human health and ecological risk (hepatotoxicity: -106.21 %). The complex functional protein with the synergistic degradation effect of bacteria and microalgae was constructed, which proved their synergistic degradation and realized the effect of "1 + 1 > 2″. The best risk regulation scheme determined using molecular dynamics simulation proved the degradation ability of complex functional protein and found the CIP-129 was easy to be degraded in real environment compared with CIP, and the degradation rate increased by 70.42 %. The synthesis path of CIP-129 and CIP were inferred and calculated, and the results showed the Gibbs free energies of three CIP-129 synthetic paths (40.64 a.u.; 40.61 a.u.; 40.65 a.u.) were close to the energy required for the CIP (39.43 a.u.), indicating there was no significant difference in the energy consumption of CIP-129 in laboratory synthesis.

Dynamic 18 F-FDG PET/CT can predict the major pathological response to neoadjuvant immunotherapy in non-small cell lung cancer

Major pathological response (MPR) is a potential surrogate for overall survival. We determined whether the dynamic changes in ¹⁸ F-labeled fluoro-2-deoxyglucose positron emission tomography/computed tomography (¹⁸ F-FDG PET/CT) were associated with MPR in patients receiving neoadjuvant immunotherapy. Forty-four patients with stage II-III non-small cell lung cancer (NSCLC) who received neoadjuvant immunotherapy and radical surgery were enrolled. Moreover, ¹⁸ F-FDG PET/CT scans were performed at baseline and within 1 week before surgery to evaluate the disease. All histological sections were reviewed to assess MPR. The detailed clinical features of the patients were analyzed. The reliability of the clinical variables was assessed in differentiating between MPR and non-MPR using logistic regression. Receiver-operating characteristic (ROC) curve analysis identified the SUVmax changes threshold most associated with MPR. Most of the patients were pathologically diagnosed with squamous cell carcinoma and received anti-PD-1 antibodies plus chemotherapy. The immunotherapy regimens included nivolumab, pembrolizumab, and camrelizumab. MPR was observed in more than half of lesions. Tumors with MPR had a higher decrease in the longest dimension on dynamic PET/CT than those without MPR. Furthermore, the decline in SUVmax was significantly different between MPR and non-MPR diseases, and MPR lesions had a prominent mean reduction in SUVmax. SUVmax reduction was independently associated with MPR in the multivariate regression. On ROC analysis, the threshold of SUVmax decrease in 60% was associated with MPR. Dynamic changes in SUVmax were associated with MPR. The tumors with MPR showed a greater PET/CT response than those without MPR. A SUVmax decrease of more than 60% is more likely to result in an MPR after receiving neoadjuvant immunotherapy.

The Changing Face of Cancer Surgery during Multiple Waves of COVID-19

COVID-19 has had a detrimental effect on the provision of cancer surgery, but its impact beyond the first 6 months of the pandemic remains unclear. We used data on 799 220 cancer surgeries performed in Ontario, Canada, during 2018-2021 and segmented regression to address this knowledge gap. With the arrival of the first COVID-19 wave (March 2020), mean cancer surgical volume decreased by 57%. Surgical volume then rose by 2.5% weekly and reached prepandemic levels in 8 months. The surgical backlog after the first wave was 47 639 cases. At the beginning of the second COVID-19 wave (January 2021), mean cancer surgical volume dropped by 22%. Afterward, surgical volume did not actively recover (2-sided P = .25), resulting in a cumulative backlog of 66 376 cases as of August 2021. These data urge the strengthening of the surgical system to quickly clear the backlog in anticipation of a tsunami of newly diagnosed cancer patients in need of surgery.

Correlates of past year suicidal thoughts among sexual and gender minority young adults: A machine learning analysis

Sexual and gender minority populations are at elevated risk of experiencing suicidal thoughts and attempting suicide. The COVID-19 pandemic exacerbated mental health and substance use challenges among this population. We aimed to examine the relative importance and effects of intersectional factors and strong interactions associated with the risk of suicidal thoughts among Canadian lesbian, gay, bisexual, transgender, queer, questioning, intersex and Two Spirit (LGBTQI2S+) young adults. A cross-sectional online survey was conducted among LGBTQI2S + participants aged 16-29 years living in two Canadian provinces (Ontario, Quebec). Among 1414 participants (mean age 21.90 years), 61% (n = 857) participants reported suicidal thoughts in last 12 months. We built a random forest model to predict the risk of having past year suicidal thoughts, which achieved high performance with an area under the receiver operating characteristic curve (AUC) of 0.84. The top 10 correlates identified were: seeking help from health professionals for mental health or substance use issues since the start of the pandemic, current self-rated mental health status, insulted by parents or adults in childhood, ever heard that being identifying as LGBTQI2S+ is not normal, age in years, past week feeling depressed, lifetime diagnosis of mental illness, lifetime diagnosis of depressive disorder, past week feeling sad, ever pretended to be straight or cisgender to be accepted. The increase in the risk of suicidal thoughts for those having mental health challenges or facing minority stressors is more pronounced in those living in urban areas or being unemployed than those living in rural areas or being employed.

Elevated cardiac troponin I and short-term mortality in patients with acute type A aortic dissection

AIMS

To explore the association between elevated cardiac troponin I (cTnI) on 30-day mortality in patients with acute type A aortic dissection (ATAAD).

METHODS AND RESULTS

A total of 1321 consecutive patients who were admitted to the emergency department of Fuwai Hospital from January 2016 to December 2020 were enrolled. Patients had computed tomography-confirmed ATAAD and were measured serum cTnI on admission. Patients were divided into the troponin-positive (cTnI > 0.02 ng/mL) or the troponin-negative group (cTnI ≤ 0.02 ng/mL). Troponin was detected by PATHFAST instrument produced by Medins Co., Ltd., and the reference range of normal value is 0-0.02 ng/mL. A total of 522 out of 1321 patients (39.5%) in our study had elevated cTnI, who had higher 30-day mortality rate compared with the troponin-negative group (44.4% vs. 19.4% P < 0.0001). Multivariate logistic regression results showed that elevated cTnI was an independent risk indicator for 30-day mortality (odds ratio: 2.582; 95% confidence interval: 1.357-4.914; P = 0.0039). The addition of elevated cTnI level to a clinical-based risk prediction model resulted in significant incremental prognostic value (AUC difference: 0.0261).

CONCLUSION

Elevated cTnI is common in patients with ATAAD, and is associated with increased 30-day mortality risk.

Prognostic value of N-terminal Pro–B-Type natriuretic peptide in patients with intermediate coronary lesions

Background

The optimal treatment strategy for patients with coronary intermediate lesions, defined as diameter stenosis of 50–70%, remains a great challenge for cardiologists. Identification of potential biomarkers predictive of major adverse cardiovascular events (MACEs) risk may assist in risk stratification and clinical decision.

Methods

A total of 1,187 patients with intermediate coronary lesions and available N-terminal pro-brain natriuretic peptide (NT-proBNP) levels were enrolled in the current study. A baseline NT-proBNP level was obtained. The primary endpoint was defined as MACEs, the composite endpoint of all-cause death and non-fatal myocardial infarction. A multivariate Cox regression model was used to explore the association between NT-proBNP level and MACE risk.

Results

The mean age of the study cohort was 59.2 years. A total of 68 patients experienced MACE during a median follow-up of 6.1 years. Restricted cubic spline analysis delineated a linear relationship between the baseline NT-proBNP level and MACE risk. Both univariate and multivariate analyses demonstrated that an increased NT-proBNP level was associated with an increased risk of MACE [adjusted hazard ratio (HR) per doubling: 1.412, 95% confidence interval (CI): 1.022–1.952, p = 0.0365]. This association remains consistent in clinical meaningful subgroups according to age, sex, body mass index (BMI), and diabetes.

Conclusion

An increased NT-proBNP level is associated with an increased risk of MACE in patients with intermediate coronary lesions and may serve as the potential biomarker for risk stratification and treatment decision guidance.

Investigation on the incidence and risk factors of lung cancer among Chinese hospital employees

Objective

In recent years, the lung cancer incidence has grown and the population is younger. We intend to find out the true detection rate of pulmonary nodules and the incidence of lung cancer in the population and search for the risk factors.

Method

Hospital employees ≥40 years old who underwent low‐dose computed tomography (CT) lung cancer screening from January 2019 to March 2022 were selected to record CT‐imaging characteristics, pathology, staging, and questionnaires to investigate past history, smoking history, diet, mental health, etc. PM2.5 and radiation intake in radiation‐related occupation received monitoring in hospital.

Result

The detection rate of suspicious pulmonary nodules was 9.1% (233/2552), and the incidence rate of lung cancer (including adenocarcinoma in situ) was 4.0% (103/2552). Morbidity among doctors, nurses, technicians, administers, and logistics was no difference (p = 0.184), but higher in women than in men (4.7% vs 2.4% p = 0.002). The invasiveness increased with age and CT density of nodules (p = 0.018). The relationship between lung cancer morbidity and PM2.5 was not clear (p = 0.543); and no lung cancer has been found in employees related ionizing radiation.

Conclusion

The high screening rate has brought about a high incidence of lung cancer. At present, the risk factor analysis of lung cancer based on small samples cannot find the direct cause. Most of the ground glass opacity (GGO)s detected by LDCT screening are indolent, but there are also rapidly progressive lung cancer. A predictive model to identify active and indolent GGO is necessary.

Surgeon Thyroidectomy Case Volume Impacts Disease-free Survival in the Management of Thyroid Cancer

OBJECTIVES

To assess the association between surgeons thyroidectomy case volume and disease-free survival (DFS) for patients with well-differentiated thyroid cancer (WDTC). A secondary objective was to assess a surgeon volume cutoff to optimize outcomes in those with WDTC. We hypothesized that surgeon volume will be an important predictor of DFS in patients with WDTC after adjusting for hospital volume and sociodemographic and clinical factors.

METHODS

In this retrospective population-based cohort study, we identified WDTC patients in Ontario, Canada, who underwent thyroidectomy confirmed by both hospital-level and surgeon-level administrative data between 1993 and 2017 (N = 37,233). Surgeon and hospital volumes were calculated based on number of cases performed in the year prior by the physician and at an institution performing each case, respectively and divided into quartiles. A multilevel hierarchical Cox regression model was used to estimate the effect of volume on DFS.

RESULTS

A crude model without patient or treatment characteristics demonstrated that both higher surgeon volume quartiles (p < 0.001) and higher hospital volume quartiles (p < 0.001) were associated with DFS. After controlling for clustering and patient/treatment covariates and hospital volume, moderately low (18-39/year) and low (0-17/year) volume surgeons (hazard ratios [HR]: 1.23, 95% confidence interval [CI]: 1.09-1.39 and HR: 1.34, 95% CI: 1.17-1.53 respectively) remained an independent statistically significant negative predictor of DFS.

CONCLUSION

Both high-volume surgeons and hospitals are predictors of better DFS in patients with WDTC. DFS is higher among surgeons performing more than 40 thyroidectomies a year.

LEVEL OF EVIDENCE

3 Laryngoscope, 2022.

Number of standard modifiable risk factors and mortality in patients with first-presentation ST-segment elevation myocardial infarction: insights from China Acute Myocardial Infarction registry

BACKGROUND

Recent publications reported a paradoxical finding that there was an inverse association between the number of standard modifiable risk factors (SMuRFs; smoking, hypertension, diabetes, and hyperlipidemia) and mortality in patients with myocardial infarction. However, the current evidence is only limited to those highly developed countries with advanced medical management systems.

METHODS

The China Acute Myocardial Infarction registry is a prospective observational study including patients with acute myocardial infarction from three-level hospitals across 31 administrative regions throughout mainland China. A total of 16,228 patients with first-presentation ST-elevation myocardial infarction (STEMI) admitted to hospitals from January 2013 to September 2014 were enrolled in the current analysis. Cox proportional hazard models adjusting for baseline characteristics, clinical profiles at presentation, and in-hospital treatments were used to assess the association of the number of SMuRFs with all-cause mortality at 30 days after STEMI presentation.

RESULTS

A total of 1918 (11.8%), 11,503 (70.9%), and 2807 (17.3%) patients had 0, 1-2, and 3-4 SMuRFs at presentation, respectively. Patients with fewer SMuRFs were older and more likely to be females, experienced longer pre-hospital delays, and were less likely to receive primary percutaneous coronary intervention and evidence-based medications. Compared with those without any SMuRF, patients with 1-2 SMuRFs and 3-4 SMuRFs were associated with an HR of 0.74 (95% CI, 0.63-0.87) and 0.63 (0.51-0.77) for all-cause mortality up to 30 days in the unadjusted model (P_trend < 0.0001). However, after multivariate adjustment, the number of SMuRFs was positively associated with increased mortality risk (HR for 1-2 SMuRFs, 1.15 [0.95-1.39]; HR for 3-4 SMuRFs, 1.31 [1.02-1.68]; P_trend = 0.03), and the association was only significant among patients admitted to hospitals beyond 12 h from onset (HR for 1-2 SMuRFs, 1.39 [1.03-1.87]; HR for 3-4 SMuRFs, 2.06 [1.41-3.01]) but not their counterparts (P_interaction = 0.01).

CONCLUSIONS

The increased crude mortality risk among patients without SMuRFs is explained by confounding factors related to their poor risk profiles (old age, longer pre-hospital delays, and poor clinical management). After multivariate adjustment, a higher risk-factor burden was associated with poor prognosis among patients with STEMI.

Development and Validation of a Machine Learning Algorithm Predicting Emergency Department Use and Unplanned Hospitalization in Patients With Head and Neck Cancer

Importance

Patient-reported symptom burden was recently found to be associated with emergency department use and unplanned hospitalization (ED/Hosp) in patients with head and neck cancer. It was hypothesized that symptom scores could be combined with administrative health data to accurately risk stratify patients.

Objective

To develop and validate a machine learning approach to predict future ED/Hosp in patients with head and neck cancer.

Design, Setting, and Participants

This was a population-based predictive modeling study of patients in Ontario, Canada, diagnosed with head and neck cancer from January 2007 through March 2018. All outpatient clinical encounters were identified. Edmonton Symptom Assessment System (ESAS) scores and clinical and demographic factors were abstracted. Training and test cohorts were randomly generated in a 4:1 ratio. Various machine learning algorithms were explored, including (1) logistic regression using a least absolute shrinkage and selection operator, (2) random forest, (3) gradient boosting machine, (4) k-nearest neighbors, and (5) an artificial neural network. Data analysis was performed from September 2021 to January 2022.

Main Outcomes and Measures

The main outcome was any 14-day ED/Hosp event following symptom assessment. The performance of each model was assessed on the test cohort using the area under the receiver operator characteristic (AUROC) curve and calibration plots. Shapley values were used to identify the variables with greatest contribution to the model.

Results

The training cohort consisted of 9409 patients (mean [SD] age, 63.3 [10.9] years) undergoing 59 089 symptom assessments (80%). The remaining 2352 patients (mean [SD] age, 63.3 [11] years) and 14 193 symptom assessments were set aside as the test cohort (20%). Several models had high predictive accuracy, particularly the gradient boosting machine (validation AUROC, 0.80 [95% CI, 0.78-0.81]). A Youden-based cutoff corresponded to a validation sensitivity of 0.77 and specificity of 0.66. Patient-reported symptom scores were consistently identified as being the most predictive features within models. A second model built only with symptom severity data had an AUROC of 0.72 (95% CI, 0.70-0.74).

Conclusions and Relevance

In this study, machine learning approaches predicted with a high degree of accuracy ED/Hosp in patients with head and neck cancer. These tools could be used to accurately risk stratify patients and may help direct targeted intervention.

The emergence of a disease caused by a mosquito origin Cluster 3.2 Tembusu virus in chickens in China

In 2021, a chicken Tembusu virus (TMUV) caused outbreaks of a disease characterized by retarded growth and egg production decline in chickens in China. Two TMUV strains SD2021 and GX2021 were isolated from the diseased chickens and phylogenetic analysis of the E gene nucleotide sequence revealed that the chicken TMUV SD2021 and GX2021 were most close to mosquito origin TMUV in Cluster 3.2, which was distinct from the prevalent duck TMUVs in Cluster 2. The TMUV SD2021 caused growth retardation and neurological symptoms in chickens through both intranasal and intramuscular infection routes, but has no direct-contact transmissibility among chickens. The findings of this study highlight the pathogenicity of a chicken adapted mosquito-origin TMUV in chickens in China.

Identification of Key Genes as Early Warning Signals of Acute Myocardial Infarction Based on Weighted Gene Correlation Network Analysis and Dynamic Network Biomarker Algorithm

Purpose

The specific mechanisms and biomarkersunderlying the progression of stable coronary artery disease (CAD) to acute myocardial infarction (AMI) remain unclear. The current study aims to explore novel gene biomarkers associated with CAD progression by analyzing the transcriptomic sequencing data of peripheral blood monocytes in different stages of CAD.

Material and Methods

A total of 24 age- and sex- matched patients at different CAD stages who received coronary angiography were enrolled, which included 8 patients with normal coronary angiography, 8 patients with angiographic intermediate lesion, and 8 patients with AMI. The RNA from peripheral blood monocytes was extracted and transcriptome sequenced to analyze the gene expression and the differentially expressed genes (DEG). A Gene Oncology (GO) enrichment analysis was performed to analyze the biological function of genes. Weighted gene correlation network analysis (WGCNA) was performed to classify genes into several gene modules with similar expression profiles, and correlation analysis was carried out to explore the association of each gene module with a clinical trait. The dynamic network biomarker (DNB) algorithm was used to calculate the key genes that promote disease progression. Finally, the overlapping genes between different analytic methods were explored.

Results

WGCNA analysis identified a total of nine gene modules, of which two modules have the highest positive association with CAD stages. GO enrichment analysis indicated that the biological function of genes in these two gene modules was closely related to inflammatory response, which included T-cell activation, cell response to inflammatory stimuli, lymphocyte activation, cytokine production, and the apoptotic signaling pathway. DNB analysis identified a total of 103 genes that may play key roles in the progression of atherosclerosis plaque. The overlapping genes between DEG/WGCAN and DNB analysis identified the following 13 genes that may play key roles in the progression of atherosclerosis disease: SGPP2, DAZAP2, INSIG1, CD82, OLR1, ARL6IP1, LIMS1, CCL5, CDK7, HBP1, PLAU, SELENOS, and DNAJB6.

Conclusions

The current study identified a total of 13 genes that may play key roles in the progression of atherosclerotic plaque and provides new insights for early warning biomarkers and underlying mechanisms underlying the progression of CAD.

Molecular-level composition of dissolved organic matter in distinct trophic states in Chinese lakes: Implications for eutrophic lake management and the global carbon cycle

Dissolved organic matter (DOM) is an abundant and mobile part of the aquatic environment and plays important roles in aquatic biogeochemical cycles and the global carbon cycle. Recently, eutrophication has become an important environmental issue in global lakes, but how eutrophication drives changes in the molecular composition of DOM along trophic gradients remains poorly understood. We thus characterized 67 DOM isolates from 11 lakes along a trophic gradient in China by using a combined approach including absorption spectroscopy, excitation-emission matrix fluorescence and Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR-MS). Our results indicated that dissolved organic carbon and absorption coefficients at 350 nm increased with increasing trophic status index. The ultraviolet absorbance at 254 nm and fluorescence intensity of all fluorescent components were higher in eutrophic lakes than in oligotrophic lakes. DOM in high trophic state lakes tended to be dominated by higher molecular weight, unsaturation degree, greater abundance of S-containing compounds, and condensed or polycyclic aromatic compounds than oligotrophic lakes. Additionally, autochthonous DOM characterized by more aliphatic compounds increased with the increasing trophic state. We concluded that nutrient input along with allochthonous DOM favors the lake eutrophication and subsequently increases the release and accumulation of autochthonous DOM. Consequently, eutrophication modifies the structure of the organic matter into more complex materials with increased input of allochthonous DOM and increased release of autochthonous DOM, which could accelerate global carbon cycle processes. Our results here have potential to contribute significantly to future studies of DOM dynamics in eutrophic lakes.

EPEN-29. Spatial transcriptomic analysis of ependymoma implicates unresolved wound healing as a driver of tumor progression

Ependymoma is a childhood brain tumor that remains incurable in approximately 50 percent of cases, most commonly in posterior fossa subgroup A (PFA). Uncovering how heterogeneous cell types within the tumor microenvironment (TME) interact is crucial to a complete understanding of PFA disease progression. The underlying cellular components of the PFA TME have been revealed by single-cell RNAseq (scRNAseq), identifying divergent epithelial differentiation and epithelial-mesenchymal transition (EMT) lineages. Here, we utilize spatial transcriptomics (Visium) of 14 PFA samples, integrated with scRNAseq, to chart neoplastic and immune cell architecture, with a higher resolution of cellular heterogeneity than scRNAseq alone. At a gross level, all PFA were primarily comprised of neoplastic epithelial and mesenchymal transcriptomic spatial zones, each containing a diversity of hierarchical cellular stages. In all samples we revealed spatially and transcriptomically-distinct mesenchymal zone-associated subclusters, including a quiescent undifferentiated progenitor-like subpopulation and clusters with characteristics of early and late stage EMT. Two early stage EMT clusters were distinguished by signatures of either myeloid cell interaction or hypoxia, and both were demonstrated to be EMT-initiating processes in in-vitro PFA experimental models. Myeloid cell interaction is the predominant initiating stage of EMT in PFA, occurring in zones that are spatially distinct from hypoxia induced EMT. Other mesenchymal clusters represent later EMT stages characterized by wound repair and tissue remodeling. Increased proliferation was a general characteristic of epithelial zone clusters, which included a second undifferentiated progenitor-like population that showed a particularly high mitotic rate and was associated with histologically hypercellular areas. Given the biological parallels with normal wound healing, we propose that mesenchymal and epithelial zones interact to create a cycle of persistent tissue damage response and mitogenic re-epithelialization signals. Unresolved wound repair is therefore a potential driver of PFA progression, a new concept that could provide novel targets for effective therapeutic intervention.

NFB-18. Integration of single-nuclei RNA-sequencing and spatial transcriptomics to define the complex tumor microenvironment of NF1-associated plexiform neurofibroma and highly-aggressive malignant peripheral nerve sheath tumors

During formation of plexiform neurofibroma (PN), a complex tumor microenvironment (TME) develops, with recruitment of other cell types being critical for growth and progression. Approximately 10% of PN can undergo transformation into malignant peripheral nerve sheath tumors (MPNST) which is a substantial cause of mortality in older teenagers and young adults. We sought to apply single cell transcriptomic analysis to PN and MPNST to provide a clearer understanding of the complex TME and how this contributes to transformation and disease progression. Due to the cohesive cellularity of PN, single-cell RNA-sequencing is difficult and may result in a loss of detection of critical cellular subpopulations. Single-nuclei RNA-sequencing (snRNA-seq) is an alternative approach that can be applied to fibrous and bulk frozen tissues, such as NF1-associated PN. Our initial snRNA-seq analysis of PN indicates that PN have a TME comprised of a variety of cellular subpopulations, with the predominant fraction being fibroblast-like cells. snRNA-seq analysis of MPNST also shows high cellular heterogeneity, including distinct fibroblast-like subpopulations distinct from PN fibroblast clusters, increased proliferating populations and antigen presenting cells. MPNST cluster separately from PN, suggesting an evolutionary shift in tumor biology. We are currently validating our findings using Visium spatial transcriptomic profiling, allowing us to apply TME architectural context to the PN and MPNST subpopulations identified by snRNA-seq. These techniques provide a deeper understanding of the complex cellular heterogeneity of human PN and MPNST that has not previously been used to describe the TME of these tumors. The mechanisms of tumorigenesis and malignancy described can provide targets for novel therapies ultimately benefitting patients with these devastating tumors of childhood and early adulthood.

EPEN-16. Epithelial Progenitor Cell Abundance and Copy Number Variant Gains and Losses Impact the Biology of Recurrent Ependymoma

Ependymoma (EPN) is a common pediatric brain tumor that is fatal in approximately 50% of cases. Posterior fossa A (PFA) EPN has the highest rate of recurrence and the worst prognosis of all EPN subtypes. At relapse, it is typically incurable even with re-resection and re-irradiation. The biology of recurrent ependymoma remains largely unknown, which hinders clinical advances. In this study, we use paired samples of primary and recurrent disease from the same patient to investigate the drivers of recurrence. DNA methylation studies reveal frequent copy number variants at recurrence that were not present at primary presentation. We report a frequent gain of chromosome 1q and loss of 6p at recurrence, which has not been previously reported and may be a driver of recurrent disease. We have previously shown that PFA EPN is comprised of 4 main neoplastic cell populations, two well-differentiated populations termed ciliated and transportive ependymal cells, a mesenchymal cell population, and an undifferentiated population. Using spatial transcriptomics (Visium) integrated with single-nuclei RNA-seq (Chromium), we discovered that a highly proliferative EPN progenitor population of epithelial lineage is significantly upregulated at recurrence which we hypothesize drives refractory disease. Accordingly, we found higher expression of EPN progenitor gene signatures in bulk RNA transcriptomes of primary tumors that later recurred compared to tumors that never recurred. Together, these findings highlight the biologic differences between primary and recurrent disease and add to our understanding of treatment resistance in childhood ependymoma.