High-risk Subpopulations Research Articles

Population-Based Risk Prediction Models to Predict and Prevent Premature Mortality in Canadian Cities

Health system planners are increasingly interested in using population-level data to inform system planning. Precision public health offers to improve the health system’s ability to predict and prevent public health risks by developing targeted public health interventions aimed at specific, high-risk sub-populations. In Canada, premature mortality, deaths before the age of 75, has remained stagnant. But gaps in premature mortality have widened across sex, socioeconomic status, and geography, indicating that health systems are not functioning equitably. We propose developing a population-based risk prediction tool to predict the five-year incidence of all-cause premature mortality in Canadian cities using machine learning methods. By incorporating data on social and environmental determinants of health at the individual and area-levels, we aim to capture unfairness from the various structural and social factors that shape individual health outcomes. Health policymakers will use this prediction tool to create population risk segments, identify high-risk sub-populations, and inform policy and social and environmental interventions that can minimize health care expenditures and ensure healthy living conditions for all.

Incidental Findings Suggestive of COVID-19 Pneumonia in Oncologic Patients Undergoing 18F-FDG PET/CT Studies: Association Between Metabolic and Structural Lung Changes.

Although the novel coronavirus disease 2019 (COVID-19) can present as nonspecific clinical forms, subclinical cases represent an important route of transmission and a significant source of mortality, mainly in high-risk subpopulations such as cancer patients. A deeper knowledge of the metabolic shift in cells infected with severe acute respiratory syndrome coronavirus 2 could provide new insights about its pathogenic and host response and help to diagnose pulmonary involvement. We explored the potential added diagnostic value of 18F-FDG PET/CT scans in asymptomatic cancer patients with suspected COVID-19 pneumonia by investigating the association between metabolic and structural changes in the lung parenchyma. Methods:18F-FDG PET/CT studies acquired between February 19 and May 29, 2020, were reviewed to identify those cancer patients with incidental findings suggestive of COVID-19 pneumonia. PET studies were interpreted through qualitative (visual) and semiquantitative (measurement of SUVmax) analysis evaluating lung findings. Several characteristic signs of COVID-19 pneumonia on CT were described as COVID-19 Reporting and Data System (CO-RADS) categories (1-6). After comparing the SUVmax of pulmonary infiltrates among different CO-RADS categories, we explored the best potential cutoffs for pulmonary SUVmax against CO-RADS categories as the gold standard result to eliminate the possibility that the diagnosis of COVID-19 pneumonia exists. Results: On multimodal PET/CT imaging, CT signs classified as CO-RADS category 5 or 6 were found in 16 of 41 (39%) oncologic patients. SUVmax was higher in patients with categories 5 and 6 than in patients with category 4 (6.17 ± 0.82 vs. 3.78 ± 0.50, P = 0.04) or categories 2 and 3 (3.59 ± 0.41, P = 0.01). A specificity of 93.8% (95% CI, 71.7%-99.7%) and an accuracy of 92.9% were obtained when combining a CO-RADS score of 5 or 6 with an SUVmax of 2.45 in pulmonary infiltrates. Conclusion: In asymptomatic cancer patients, the metabolic activity in lung infiltrates is closely associated with several combined tomographic changes characteristic of COVID-19 pneumonia. Multimodal 18F-FDG PET/CT imaging could provide additional information during early diagnosis in selected predisposed patients during the pandemic. The prognostic implications of simultaneous radiologic and molecular findings in cancer patients and other subpopulations at high risk for COVID-19 pneumonia deserve further evaluation in prospective research.

Polysomnographic markers of suicidal ideation in untreated unipolar major depressed individuals

Given the major role played by sleep in the particular relationship between suicidality and major depression, the aim of this study was to empirically identify polysomnographic markers specific to suicidal ideation in major depressed individuals in order to allow better suicide prevention in this high-risk subpopulation. Demographic and polysomnographic data from 190 individuals (34 healthy controls and 156 untreated unipolar major depressed individuals) recruited from the sleep laboratory database were analysed. Suicidal ideation were considered present if the score in item G of the Beck Depression Inventory was ≥1 and/or if they were highlighted during the systematic psychiatric assessment conducted on admission to the sleep laboratory. Independently of depression severity, major depressed individuals with suicidal ideation present a decrease in deep NREM sleep (slow-wave sleep) and an increase in light NREM sleep (stage 1 + stage 2) compared to those without suicidal ideation. There are no significant differences for the other polysomnographic parameters. In our study, we highlighted the existence of potential polysomnographic markers of suicidal ideation in untreated unipolar major depressed individuals, which seems to open up new perspectives for the identification and management of individuals at high-risk of suicide in this particular subpopulation.

Substantial Within-Country Variation in the Incidence of Subarachnoid Hemorrhage: A Nationwide Finnish Study.

To study whether the incidence of subarachnoid hemorrhage (SAH) varies between geographic regions of Finland. By utilizing the nationwide Causes of Death and Hospital Discharge Registers, we identified all first-ever, hospitalized, and sudden-death (dying before hospitalization) SAH events in Finland between 1998 and 2017. Based on the patients' home residence, we divided SAHs into 5 geographic regions: southern, central, western, eastern, and northern Finland. We calculated crude and European age-standardized (European Standard Population [ESP] 2013) SAH incidence rates for each region and used a Poisson regression model to calculate age-, sex-, and calendar year-adjusted incidence rate ratios (IRRs) and 95% confidence intervals for regional and time-dependent differences. During the total 106,510,337 cumulative person-years, we identified 9,443 first-ever SAH cases, of which 24% resulted in death before hospitalization. As compared to western Finland, where the SAH incidence was the lowest (7.4 per 100,000 persons), the ESP-standardized SAH incidence was 1.4 times higher in eastern (10.2 per 100,000 persons; adjusted IRR, 1.37 [1.27-1.47]) and northern Finland (10.4 per 100,000 persons; adjusted IRR, 1.40 [1.30-1.51]). These differences were similar when men and women were analyzed independently. Although SAH incidence rates decreased in all 5 regions over 2 decades, the rate of decrease varied significantly by region. SAH incidence appears to vary substantially by region in Finland. Our results suggest that regional SAH studies can identify high-risk subpopulations, but can also considerably over- or underestimate incidence on a nationwide level.

In Comparison to Pathological Q Waves, Selvester Score is a Superior Diagnostic Indicator of Increased Long-Term Mortality Risk in ST Elevation Myocardial Infarction Patients Treated with Primary Coronary Intervention.

The development of pathological Q waves has long been correlated with worsened outcome in patients with ST elevation myocardial infarction (STEMI). In this study, we investigated long-term mortality of STEMI patients treated by primary percutaneous coronary intervention (PPCI) and compared predictive values of Q waves and of Selvester score for infarct volume estimation. Data of 283 consecutive STEMI patients (103 females) treated by PPCI were analysed. The presence of pathological Q wave was evaluated in pre-discharge electrocardiograms (ECGs) recorded ≥72 h after the chest pain onset (72 h Q). The Selvester score was evaluated in acute ECGs (acute Selvester score) and in the pre-discharge ECGs (72 h Selvester score). The results were related to total mortality and to clinical and laboratory variables. A 72 h Q presence and 72 h Selvester score ≥6 was observed in 184 (65.02%) and 143 (50.53%) patients, respectively. During a follow-up of 5.69 ± 0.66 years, 36 (12.7%) patients died. Multivariably, 72 h Selvester score ≥6 was a strong independent predictor of death, while a predictive value of the 72 h Q wave was absent. In high-risk subpopulations defined by clinical and laboratory variables, the differences in total mortality were highly significant (p < 0.01 for all subgroups) when stratified by 72 h Selvester score ≥6. On the contrary, the additional risk-prediction by 72 h Q presence was either absent or only borderline. In contemporarily treated STEMI patients, Selvester score is a strong independent predictor of long-term all-cause mortality. On the contrary, the prognostic value of Q-wave presence appears limited in contemporarily treated STEMI patients.

Predicting Sex-Specific Nonfatal Suicide Attempt Risk Using Machine Learning and Data From Danish National Registries.

Suicide attempts are a leading cause of injury globally. Accurate prediction of suicide attempts might offer opportunities for prevention. This case-cohort study used machine learning to examine sex-specific risk profiles for suicide attempts in Danish nationwide registry data. Cases were all persons who made a nonfatal suicide attempt between 1995 and 2015 (n= 22,974); the subcohort was a 5% random sample of the population at risk on January 1, 1995 (n= 265,183). We developed sex-stratified classification trees and random forests using 1,458 predictors, including demographic factors, family histories, psychiatric and physical health diagnoses, surgery, and prescribed medications. We found that substance use disorders/treatment, prescribed psychiatric medications, previous poisoning diagnoses, and stress disorders were important factors for predicting suicide attempts among men and women. Individuals in the top 5% of predicted risk accounted for 44.7% of all suicide attempts among men and 43.2% of all attempts among women. Our findings illuminate novel risk factors and interactions that are most predictive of nonfatal suicide attempts, while consistency between our findings and previous work in this area adds to the call to move machine learning suicide research toward the examination of high-risk subpopulations.

Evidence of substantial heterogeneity in the preventive effect of stricter alcohol policy environments in young Swiss men

IntroductionThe alcohol policy environment was shown to exert a preventive effect on alcohol consumption. However, little is known about the heterogeneity of this effect.ObjectivesTo capture the extent of heterogeneity in the relationship between the strictness of alcohol policy environments and heavy drinking and to identify potential effect modifiers.MethodsMethod: Cross-sectional data from 5986 young Swiss men participating in the cohort study on substance use risk factors (C-SURF) in Switzerland was analysed. Self-reported risky single-occasion drinking (RSOD, drinking 6 standard drinks or more on a single occasion at least monthly) in the past 12 months was the outcome of interest. A previously-used index of alcohol policy environment strictness across Swiss cantons was analysed in conjunction with 21 potential effect modifiers. Random forest machine learning and individual conditional expectations captured high-dimensional interaction effects and the heterogeneity induced by the interaction effects and identified potential effect modifiers.ResultsSubject-specific absolute risk reductions ranged from 16.8% to -4.2%, with the latter implying a risk increase. Four prototypical subgroups were evident: “preventive” (alcohol policy environment decreased RSOD risk), “causative” (alcohol policy environment increased RSOD risk), “immune” (no effect due to low RSOD baseline risk), and “doomed” (no effect due to high RSOD baseline risk). Antisocial personality disorder and sensation seeking were major effect modifiers that reduced the preventive effect of stricter alcohol policy environments.ConclusionsConclusion: Whereas stricter alcohol policy environments were associated with a reduced RSOD risk, adding selective prevention measures that target high-risk subpopulations is necessary.DisclosureNo significant relationships.

Identification of an immune overdrive high-risk subpopulation with aberrant expression of FOXP3 and CTLA4 in colorectal cancer.

Colorectal cancer (CRC) is characterized by a heterogeneous tumor microenvironment (TME) that regulates cancer progression and therapeutic response. Overexpression of FOXP3 and CTLA4 is associated with immunosuppressive TME and poor prognosis in many cancer types. However, opposite results were reported in CRC. Thus, we performed comprehensive analyses to evaluate the exact prognostic value of FOXP3 and CTLA4 in CRC. Here, the expression levels of FOXP3 and CTLA4 were used to construct a subtyping system based on >1200 CRC patients from multiple independent public datasets. We revealed that, in CRC patients with relatively high expression of FOXP3, there exist two different subpopulations with opposite survival patterns according to CLTA4 expression. We further established a method for evaluating all cohorts and identified a novel FOXP3HighCTLA4High* CRC risk subpopulation that accounts for 5-10% of CRC patients. Moreover, different methods of functional enrichment and immune evaluation were used to analyze the TME characteristics of different FOXP3/CTLA4 subtypes. The FOXP3HighCTLA4High* CRC risk subpopulation was characterized by an immune overdrive TME phenotype, including high immune cell infiltration, low tumor purity, high immune checkpoint levels, and TGF-β activation. Finally, the constructed FOXP3/CTLA4 subtyping system was further validated by quantitative RT-PCR, immunochemistry staining, and multicolor immunofluorescence in an independent CRC cohort we collected. This high-risk subpopulation was also observed in kidney cancers and low-grade glioma patients by a Pan-cancer analysis. Together, our study revealed that the established FOXP3/CTLA4 molecular subtyping system could be used to select treatment and management strategies for CRC and other cancers.

Efficacy and Safety of Sacubitril/Valsartan in High-Risk Patients in the PIONEER-HF Trial.

In patients stabilized during hospitalization for acute decompensated heart failure (HF), initiation of sacubitril/valsartan compared with enalapril decreased the risk of cardiovascular death or rehospitalization for HF without increasing the risk of adverse events. It is unknown whether potentially high-risk subpopulations have a similar risk-benefit profile. PIONEER-HF (Comparison of Sacubitril/Valsartan Versus Enalapril on Effect on NT-proBNP [N-terminal pro-B type natriuretic peptide] in Patients Stabilized From an Acute HF Episode) was a multicenter, randomized, double-blind trial of in-hospital initiation of sacubitril/valsartan (n=440) versus enalapril (n=441) in patients stabilized during hospitalization for acute decompensated HF. The composite of cardiovascular death or rehospitalization for HF was adjudicated. Safety outcomes included worsening renal function, symptomatic hypotension, and hyperkalemia. We evaluated heterogeneity in the effect of sacubitril/valsartan on these efficacy and safety outcomes in selected subgroups of clinical concern: patients with baseline systolic blood pressure ≤118 mm Hg (median; n=448), baseline NT-proBNP >2701 pg/mL (median; n=395), estimated glomerular filtration rate <60 mL/minute per 1.73 m2 (n=455), ≥1 additional hospitalization for HF within the prior year (n=343), admission to the ICU during the index hospitalization (n=96), inotrope use during the index hospitalization (n=68), and severe congestion (n=219). The relative risk reduction in cardiovascular death or rehospitalization for HF with sacubitril/valsartan versus enalapril was consistent across all high-risk subgroups (P interaction=non-significant [NS] for each). The risks of worsening renal function, symptomatic hypotension, and hyperkalemia with sacubitril/valsartan versus enalapril were also consistent in each high- versus low-risk subgroup (P interaction=NS for each). In high-risk subpopulations admitted for acute decompensated HF, treatment with sacubitril/valsartan after initial stabilization conferred a consistent reduction in cardiovascular death or rehospitalization for HF and was well tolerated.

Epidemiology of sepsis and septic shock

The epidemiology of sepsis and septic shock has been challenging to study for multiple reasons. These include changing diagnostic definitions, as well a high concentration of sepsis-related studies published from high-income countries (HICs), despite a large global burden. This section attempts to address the incidence of sepsis throughout the years and worldwide. The incidence of sepsis and septic shock has continued to increase since the first consensus definitions (Sepsis-1) were established in 1991, and the latest definitions (Sepsis-3) provide a better reflection of mortality risk for a diagnosis of sepsis. Several studies argue that the incidence of sepsis is overreported in HICs, based on billing and coding practices, and may lead to overutilization of resources. However, recent estimates of the true global burden of sepsis, including low-income countries, are likely much higher than reported, with calls for better allocation of resources. The true epidemiology of sepsis worldwide continues to be a highly debated subject, and more research is needed among low-income countries and high-risk subpopulations.

A 5-lncRNA Signature Associated with Smoking Predicts the Overall Survival of Patients with Muscle-Invasive Bladder Cancer.

Increasing evidence demonstrated that noncoding RNA is abnormally expressed in cancer tissues and serves a vital role in tumorigenesis, tumor development, and metastasis. The aim of the present study was to determine an lncRNA signature in order to predict the overall survival (OS) of patients with muscle-invasive bladder cancer (MIBC). A total of 246 patients with pathologically confirmed MIBC in The Cancer Genome Atlas (TCGA) dataset were recruited and included in the present study. We choose patients who have smoked less (including never smoking) or more than 15 years. A total of 44 differentially expressed lncRNAs were identified with a fold change larger than 1.5 and a P value < 0.05 through the limma package. Subsequently, a comparison between patients with no tobacco smoke exposure for <15 years and patients who had been exposed to tobacco smoke for >15 years was performed by using the matchIt package. Among the 44 differentially expressed lncRNAs, 5 lncRNAs were identified to be significantly associated with OS. Based on the characteristic risk scores of these 5 lncRNAs, patients were divided into low-risk and high-risk groups and exhibited significant differences in OS. Multivariate Cox regression analysis demonstrated that the 5-lncRNA signature was independent of age, tumor-node metastasis (TNM) staging, lymphatic node status, and adjuvant postoperative radiotherapy. In the present study, a novel 5-lncRNA signature was developed and was demonstrated to be useful in predicting the survival of patients with MIBC. If validated, this lncRNA signature may assist in the selection of a high-risk subpopulation that requires more aggressive therapeutic intervention. The risk scores involved in several associated pathways were identified using gene set enrichment analysis (GSEA). However, the clinical implications and mechanism of these 5 lncRNAs require further investigation.

The impact of active case finding among high-risk populations on the decline of tuberculosis incidence

Introduction: Tuberculosis (TB) is an infectious disease caused by Mycobacterium tuberculosis. In 2019 the WHO reported approximately 10 million TB cases and 1.4 million deaths worldwide. TB still remains one of the leading causes of death in humans. Brazil is one of 30 countries with the highest TB burden with 96,000 new cases and 6,700 deaths reported in 2019. From 2015 the TB incidence is increasing by 2%–3% annually. It means that TB control programs need to be improved. Aim: Our aim is to show the impact of active case finding of TB cases among a high-risk subpopulation on decline of the incidence in the general population. Material and methods: We use a SIS-type compartmental mathematical model to describe the disease dynamics. We consider the population as a heterogeneous population which differ in disease transmission risk. Using best-fit techniques we compare the actual data with the model. For the fitted parameters we calculate the basic reproduction number and estimate the TB trends for the next few years applying several preventative protocols. Results and discussion: Using numerical simulations we examine the impact of ACF on the disease dynamics. We show that active screening among high risk subpopulations can help to reduce TB spread. We show how the reproduction number and estimated incidence decline depend on the detection rate. Conclusions: Active screening is one of the most effective ways for reducing the spread of disease. However, due to financial constraints, it can only be used to a limited extent. Properly applied detection can limit the spread of the disease while minimizing costs.

Ultrasonography predicts the results of labial salivary gland biopsy in patients with suspected Sjögren's syndrome: a matrix risk model.

Objective:Although a positive result of labial salivary gland biopsy (LSGB) is critical for the diagnosis of Sjögren’s syndrome, rheumatologists prefer assessing the non-invasive objective items and hope to learn the predicted probability of positive LSGB before referring patients with suspected Sjögren’s syndrome to receive biopsy. This study aimed to explore the predictive value of combined B-mode ultrasonography (US) and shear-wave elastography (SWE) examination on LSGB results.Methods:A derivation cohort and later a validation cohort of patients with suspected Sjögren’s syndrome were recruited. All participants received clinical assessments, B-mode US and SWE examination on bilateral parotid and submandibular glands before LSGB. Positive LSGB was defined by a focus score ⩾1 per 4 mm2 of glandular tissue.Results:In the derivation cohort of 91 participants, either the total US scores or the total SWE values of four glands significantly distinguished patients with positive LSGB from those with negative results (area under the curve (AUC) = 0.956, 0.825, both p < 0.001). The positive predictive value (PPV) was 100% in patients with total US scores ⩾9 or with total SWE values ⩾33 kPa. The negative predictive value (NPV) was 100% in patients with total US scores <5, but 68% in patients with total SWE values <27 kPa. A matrix risk model was derived based on the combination of total US scores and total SWE values. Patients can be stratified into high, moderate, and low risk of positive LSGB. In the validation cohort of 52 participants, the PPV was 94% in the high-risk subpopulation and the NPV was 93% in the low-risk subpopulation.Conclusion:A novel matrix risk model based on the combined B-mode US and SWE examination can help rheumatologists to make a shared decision with suspected Sjögren’s syndrome patients on whether the invasive procedure of LSGB should be performed.

Cost Effective Reproduction Number Based Strategies for Reducing Deaths from COVID-19

In epidemiology, the effective reproduction number is used to characterize the growth rate of an epidemic outbreak. In this paper, we investigate properties of the reproduction number for a modified SEIR model of COVID-19 in the city of Houston, TX USA, in which the population is divided into low-risk and high-risk subpopulations. The response of reproduction number to two types of control measures (testing and distancing) applied to the two different subpopulations is characterized. A nonlinear cost model is used for control measures, to include the effects of diminishing returns.We propose three types of heuristic strategies for mitigating COVID-19 that are targeted at reducing reproduction number, and we exhibit the tradeoffs between strategy implementation costs and number of deaths. We also consider two variants of each type of strategy: basic strategies, which consider only the effects of controls on reproduction number, without regard to subpopulation; and high-risk prioritizing strategies, which maximize control of the high-risk subpopulation. Results showed that of the three heuristic strategy types, the most cost-effective involved setting a target value for reproduction number and applying sufficient controls to attain that target value. This heuristic led to strategies that begin with strict distancing of the entire population, later followed by increased testing. Strategies that maximize control on high-risk individuals were less cost-effective than basic strategies that emphasize reduction of the rate of spreading of the disease. The model shows that delaying the start of control measures past a certain point greatly worsens strategy outcomes. We conclude that the effective reproduction can be a valuable real-time indicator in determining cost-effective control strategies.

A Novel Set of Immune-associated Gene Signature predicts Biochemical Recurrence in Localized Prostate Cancer Patients after Radical Prostatectomy.

Background: Decision-making regarding biochemical recurrence (BCR) in localized prostate cancer (PCa) patients after radical prostatectomy (RP) mainly relies on clinicopathological parameters with a low predictive accuracy. Currently, accumulating evidence suggests that immune-associated genes (IAGs) play irreplaceable roles in tumorigenesis, progression and metastasis. Considering the critical role of immune in PCa, we therefore attempted to identify the novel IAGs signature and validate its prognostic value that can better forecast the risk for BCR and guide clinical treatment.Methods: RNA-sequencing and corresponding clinicopathological data were downloaded from the Gene Expression Omnibus (GEO) database and the Cancer Genome Atlas (TCGA) database. Weighted gene co-expression network analysis (WGCNA) was utilized to screen out the candidate module closely related to BCR, and univariate and LASSO Cox regression analyses were performed to build the gene signature. Kaplan-Meier (KM) survival analysis, time-dependent receiver operating curve (ROC), independent prognostic analysis and nomogram were also applied to evaluate the prognostic value of the signature. Besides, Gene ontology analysis (GO), Kyoto encyclopedia of genes and genomes (KEGG) and gene set enrichment analysis (GSEA) were used to explore potential biological pathways.Results: A total of six IAGs (SSTR1, NFATC3, NRP1, TUBB3, IL1R1, GDF15) were eventually identified and used to establish a novel IAGs signature. The Kaplan-Meier analysis revealed that patients with low-risk scores had longer recurrence-free survival (RFS) than those with high-risk scores in both GSE70769 and TCGA cohorts. Further, our signature was also proven to be a valuable independent prognostic factor for BCR. We also constructed a nomogram based on the gene signature and related clinicopathologic features, which excellently predict 1-year, 3-year and 5-year prognosis of localized PCa patients after RP. Moreover, functional enrichment analysis demonstrated the vital biological processes, and stratified GSEA revealed that a crucial immune-related pathway (T cell receptor signaling pathway) was notably enriched in the high-risk group.Conclusions: We successfully developed a novel robust IAGs signature that is powerful in BCR prediction in localized PCa patients after RP, and created a prognostic nomogram. In addition, the signature might help clinicians in selecting high-risk subpopulation, predicting survival status of patients and promoting more individualized therapies than traditional clinical factors.

Self-Efficacy, Perceived Barriers to Care, and Health-Promoting Behaviors Among Franco-Americans Across Cardiovascular Risk Factors: A Cross-Sectional Study

To assess the prevalence of perceived barriers to accessing health care services, self-efficacy, and health-promoting behaviors among Franco-Americans as a higher-risk group for familial hypercholesterolemia (FH), stratified by cardiovascular risk factors. Cross-sectional survey based on components of the Health Belief Model. Administered in-person at a Franco-American cultural center and online through mailing lists and social media platforms in the Northeastern United States. Franco-Americans and French Canadians (n = 170). Demographic and clinical characteristics (i.e. high cholesterol, prior heart attack or stroke, family history of atherosclerotic cardiovascular disease (ASCVD), diagnosis of FH), perceived barriers to accessing health care services, self-efficacy, and health-promoting behaviors (i.e. taking lipid-lowering medications, seeing a cardiovascular specialist). In a cohort of Franco-Americans, 42 (25%) had both high cholesterol and family history of ASCVD. Among Franco-Americans with both cardiovascular risk factors, 22% had low self-efficacy and only 16% had discussed FH with their physician. Individuals with both risk factors were significantly more likely to report a concern over a future diagnosis as a barrier to accessing health care services when compared with those with neither risk factor (36% vs. 15%, p = 0.014). Overall, other prominent barriers to care included knowledge of when to seek help (27%) and a distrust in medicine (26%). Franco-Americans report significant barriers to accessing health care services. Our findings strengthen the case for developing focused public health strategies to raise awareness for FH, particularly among high-risk subpopulations with unmet cardiovascular needs.

Readmission After Emergency General Surgery: NSQIP Review of Risk, Cause and Ideal Follow-Up

BackgroundThe Emergency General Surgery (EGS) population is particularly at high risk for readmission. Currently, no system exists to predict which EGS patients are most at risk. We hypothesized that a subset of EGS patients could be identified with increased 30-day unplanned readmission. We also hypothesized that a majority of readmissions occur sooner than the conventional 2-week follow-up period. MethodsNational Surgical Quality Improvement Program (NSQIP) nonelective general surgery patients were analyzed. Multivariable logistic regression identified factors with increased odds of unplanned readmission. AAST EGS Diagnosis Categories were used to categorize postop ICD-9 codes, and the top 10 CPT codes in each group were analyzed. Readmission rate, the reason for unplanned readmission, and time to readmission were analyzed. ResultsA total of 383,726 patients were identified with a readmission rate of 8.1% within 30 d of their primary procedure. The top 50 CPT codes accounted for 84% of EGS readmissions. Increased readmission risk was demonstrated for underweight patients (OR = 1.15, P < 0.05). High-risk hospital characteristics were LOS >2 d, any inpatient pulmonary complications, and discharge to any facility or rehab (all P < 0.05). Surgical site infections cause nearly 25% of readmissions. Intestinal procedures are most frequently readmitted (22% of EGS readmissions), with colorectal procedures having the higher odds of readmission. Most readmissions occur <10 d after discharge. ConclusionsA high-risk subpopulation exists within EGS, and most readmissions occur sooner than a typical 2-week follow-up. Early interventions for high-risk EGS subpopulations may allow for early intervention and reduction of unnecessary healthcare utilization.

Local antibiotics in posterior lumbar fusion procedures for neuromuscular scoliosis: a case for their use

BACKGROUND CONTEXTSurgical site infections (SSIs) are medically devastating and financially costly complications after posterior spinal fusion (PSF) for neuromuscular scoliosis (NMS). Many strategies exist to reduce their occurrence. The efficacy of intraoperative antibiotics in the wound or bone graft is gaining in popularity, but this practice has not been well-studied in the PSF NMS population. PURPOSETo assess the potential utility of intraoperative local antibiotics in patients with NMS undergoing PSF. STUDY DESIGN/SETTINGRetrospective review of prospectively collected data. PATIENT SAMPLEPediatric patients who underwent PSF for NMS were identified from the 2016–2018 National Surgical Quality Improvement Program (NSQIP) pediatric spinal fusion datasets. OUTCOME MEASURESPerioperative adverse outcome variables assed included the occurrence of SSI, renal complications, and adverse hospital metrics. METHODSPatient demographic factors, comorbidities, and the use of intraoperative antibiotics in the wound were recorded (a specifically assessed variable in the dataset). The association between the use of intraoperative antibiotics and the occurrence of adverse outcomes/infection was assessed for the entire study population and higher risk sub-populations. RESULTSIn total, 1,990 patients met the inclusion criteria, of which 87% received local antibiotics. Higher risk patients were more likely to receive local antibiotics in the wound as part of their procedure. When controlling for potentially confounding factors, the use of local antibiotics was not statistically significantly associated with any of the studied adverse outcomes for the overall study population. Subgroup analysis of higher risk patient populations (≥13 levels fused, osteotomy performed, prior deformity surgery, nonasthma lung condition) revealed a significantly decreased risk of SSI in patients undergoing ≥13 level fusions (relative risk: 0.48, 95% confidence interval: 0.25–0.91). CONCLUSIONSWith no increased overall risks and reduced SSIs in higher risk NMS patients undergoing PSF, the use of intrawound antibiotics appears to be supported by this dataset.

Impact of Age Views on Cognition: Experimental, Longitudinal, and Ecological Momentary Findings

Research on the impact of age views on cognition has seen a strong momentum in recent years, fitting the stereotype embodiment theory prediction that the stereotypes taken in from a culture can impact older persons‘ cognition. These studies utilize experimental, longitudinal, and ecological momentary assessments (EMA), as well as a wide reach of cognitive outcomes. This symposium starts with two experimental studies. One demonstrates that negative age stereotypes reduce cognitive processing in older consumers (Gröppel-Klein et al.). A second study strives to better understand the pathway by which age stereotypes influence cognitive outcomes by focusing on dysregulation of reward-seeking behaviors and the downregulation of the dopaminergic system (Robertson et al.). We next explore two longitudinal studies that reveal differential relations among views of aging and various cognitive indicators. The first study found that older persons with more positive age beliefs are less likely to develop dementia even in a high-risk gene subpopulation of older adults (Levy et al.). The second study examined the association between awareness of age-related changes and cognitive scores (Sabatini et al.) Finally, Lücke et al. examine in their EMA study with 6 measurement occasions per day across 7 days that such a fine-tuned seems not to clearly support a linkage among subjective age and working memory for which beginning but not consistent evidence has been reported previously. Brad Meisner will discuss contributions in the light of meta-analytic finding revealing that older persons‘ negative age stereotypes can impair whereas their positive age stereotypes can improve cognitive performance.

Investigating new treatment opportunities for patients with chronic kidney disease in type 2 diabetes: the role of finerenone.

Despite the standard of care, patients with chronic kidney disease (CKD) and type 2 diabetes (T2D) progress to dialysis, are hospitalized for heart failure and die prematurely. Overactivation of the mineralocorticoid receptor (MR) causes inflammation and fibrosis that damages the kidney and heart. Finerenone, a nonsteroidal, selective MR antagonist, confers kidney and heart protection in both animal models and Phase II clinical studies; the effects on serum potassium and kidney function are minimal. Comprising the largest CKD outcomes program to date, FIDELIO-DKD (FInerenone in reducing kiDnEy faiLure and dIsease prOgression in Diabetic Kidney Disease) and FIGARO-DKD (FInerenone in reducinG cArdiovascular moRtality and mOrbidity in Diabetic Kidney Disease) are Phase III trials investigating the efficacy and safety of finerenone on kidney failure and cardiovascular outcomes from early to advanced CKD in T2D. By including echocardiograms and biomarkers, they extend our understanding of pathophysiology; by including quality of life measurements, they provide patient-centered outcomes; and by including understudied yet high-risk cardiorenal subpopulations, they have the potential to widen the scope of therapy in T2D with CKD. Trial registration number: FIDELIO-DKD (NCT02540993) and FIGARO-DKD (NCT02545049)