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ObjectiveTo evaluate the adoption and discontinuation of four broadly used non-pharmaceutical interventions on shifts in the covid-19 burden among US states.DesignRetrospective, observational cohort study.SettingUS state data on covid-19 between 19 January 2020 and 7 March 2021.ParticipantsUS population with a diagnosis of covid-19.Main outcome measuresEmpirically derived breakpoints in case and mortality velocities (ie, rate of change) were used to identify periods of stable, decreasing, or increasing covid-19 burden. Associations between adoption of non-pharmaceutical interventions and subsequent decreases in case or death rates were estimated by use of generalised linear models accounting for weekly variability across US states. State level case and mortality counts per day were obtained from the Covid-19 Tracking Project. State level policies on non-pharmaceutical interventions included stay-at-home orders, indoor public gathering bans (mild >10 or severe ≤10 people), indoor restaurant dining bans, and public mask mandates. National policies were not included in statistical models.Results28 602 830 cases and 511 899 deaths were recorded during the study. Odds of a reduction in covid-19 case velocity increased for stay-at-home orders (odds ratio 2.02, 95% confidence interval 1.63 to 2.52), indoor dining bans (1.62, 1.25 to 2.10), public mask mandates (2.18, 1.47 to 3.23), and severe indoor public gathering bans (1.68, 1.31 to 2.16) in univariate analysis. In mutually adjusted models, odds remained elevated for orders to stay at home (adjusted odds ratio 1.47, 95% confidence interval 1.04 to 2.07) and public mask mandates (2.27, 1.51 to 3.41). Stay-at-home orders (odds ratio 2.00, 95% confidence interval 1.53 to 2.62; adjusted odds ratio 1.89, 95% confidence interval 1.25 to 2.87) was also associated with a greater likelihood of decrease in death velocity in unadjusted and adjusted models.ConclusionsState level non-pharmaceutical interventions used in the US during the covid-19 pandemic, in particular stay-at-home orders, were associated with a decreased covid-19 burden.

BACKGROUND: Non-pharmaceutical interventions (NPIs) are mitigation strategies used to reduce the spread of transmissible diseases. The relative effectiveness of specific NPIs remains uncertain. METHODS: We used state-level Coronavirus disease 2019 (COVID-19) case and mortality data between January 19, 2020 and March 7, 2021 to model NPI policy effectiveness. Empirically derived breakpoints in case and mortality velocities were used to identify periods of stable, decreasing, or increasing COVID-19 burden. The associations between NPI adoption and subsequent decreases in case or death velocities were estimated using generalized linear models accounting for weekly variability shared across states. State-level NPI policies included: stay at home order, indoor public gathering ban (mild >10 or severe ≤10), indoor restaurant dining ban, and public mask mandate. RESULTS: 28,602,830 cases and 511,899 deaths were recorded. The odds of a decrease in COVID-19 case velocity were significantly elevated for stay at home (OR 2.02, 95% CI 1.63-2.52), indoor dining ban (OR 1.62, 95% CI 1.25-2.10), public mask mandate (OR 2.18, 95% CI 1.47-3.23), and severe gathering ban (OR 1.68, 95% CI 1.31-2.16). In mutually adjusted models, odds remained elevated for stay at home (AOR 1.47, 95% CI 1.04-2.07) and public mask mandate (AOR = 2.27, 95% CI 1.51-3.41). Stay at home (OR 2.00, 95% CI 1.53-2.62; AOR 1.89, 95% CI 1.25-2.87) was also associated with greater likelihood of decrease in death velocity in unadjusted and adjusted models. CONCLUSIONS: NPIs employed in the U.S. during the COVID-19 pandemic, most significantly stay at home orders, were associated with decreased COVID-19 burden.

This study examined the effects of storytelling with or without contextual information on children with autism spectrum disorder (ASD) and typical development (TD) using eye-tracker. They were randomized into two groups--the stories included and did not include social contextual information respectively. Training was delivered in groups, with eight sessions across four weeks, 30 min/session. Participants' fixation duration, visit duration, and fixation count on human faces from 20 photos and a video were recorded. Our findings revealed that storytelling with social contextual information enhanced participants' eye gazes on eyes/ faces in static information (photos) for both children with ASD and TD, but the same advantage could not be seen for children with ASD in regard to dynamic information (videos). Clinical Trial Registration Number (URL: http://www.clinicaltrials.gov): NCT04587557

The purpose of this study is to analyze the influence of financial literacy, self-efficacy and income on investment decisions, as well as whether Financial Technology is able to mediate the influence. The research contributes to the fields of financial behavior and investment decision-making by examining how Financial Literacy, Self-Efficacy, and Income impact students' investment decisions in an academic setting, with a particular focus on the mediating role of Financial Technology (Fintech). The data analysis technique used in this study was SEMPLS with the help of the SmartPLS application. The results of the test were as follows: (1) Financial literacy has a significant positive effect on the investment decisions of Pelita Indonesia students; (2) Self-efficiency had a positive and insignificant effect; and (3) Income had an insignificant positive effect; (4) Financial Technology mediates the effect of Financial literacy on the Investment Decisions of students; and (5) Financial Technology does not mediated the impact of Income on the decision of students. The findings could inform educational institutions and policymakers on how to improve financial literacy programs and support fintech adoption to foster better financial outcomes among students, potentially leading to more financially empowered and responsible young investors. [ABSTRACT FROM AUTHOR]

OBJECTIVES:As the largest acute heart failure (AHF) trial conducted to date, the global ASCEND-HF (Acute Study of Clinical Effectiveness of Nesiritide in Decompensated Heart Failure) trial database presented an opportunity to systematically describe the relationship among time of hospital presentation, clinical profile, inpatient management, and outcomes among patients admitted with AHF. BACKGROUND:Time of hospital presentation has been shown to impact outcomes among patients hospitalized with many conditions. However, the association among time of presentation and patient characteristics, management, and clinical outcomes among patients hospitalized with AHF has not been well characterized. METHODS:A post hoc analysis of the ASCEND-HF trial was performed, which enrolled 7,141 patients hospitalized for AHF. Patients were divided based on when they presented to the hospital; regular hours were defined as 9 am to 5 pm, Monday through Friday, and off hours were defined as 5 pm to 9 am, Monday through Friday and weekends. Clinical characteristics and outcomes were compared by time of presentation. RESULTS:Overall, 3,298 patients (46%) presented during off hours. Off-hour patients were more likely to have orthopnea (80% vs. 74%, respectively) and rales (56% vs. 49%, respectively) than regular-hour patients. Off-hour patients were more likely to receive intravenous (IV) nitroglycerin (18% vs. 11%, respectively) and IV loop diuretics (92% vs. 86%, respectively) as initial therapy and reported greater relief from dyspnea at 24 h (odds ratio [OR]: 1.14; 95% confidence interval [CI]: 1.04 to 1.24; p = 0.01) than regular-hour patients. After adjustment, off-hour presentation was associated with significantly lower 30-day mortality (OR: 0.74; 95% CI: 0.57 to 0.96; p = 0.03) and 180-day mortality (hazard ratio [HR]: 0.82; 95% CI: 0.72 to 0.94; p = 0.01) but similar 30-day rehospitalization rates (p = 0.40). CONCLUSIONS:In this AHF trial, patients admitted during off hours exhibited a distinct clinical profile, experienced greater dyspnea relief, and had lower post-discharge mortality than regular-hour patients. These findings have implications for future AHF trials.

BackgroundMassively parallel DNA sequencing, such as exome sequencing, has become a routine clinical procedure to identify pathogenic variants responsible for a patient's phenotype. Exome sequencing has the capability of reliably identifying inherited and de novo single-nucleotide variants, small insertions, and deletions. However, due to the use of 100-300-bp fragment reads, this platform is not well powered to sensitively identify moderate to large structural variants (SV), such as insertions, deletions, inversions, and translocations.MethodsTo overcome these limitations, we used next-generation mapping (NGM) to image high molecular weight double-stranded DNA molecules (megabase size) with fluorescent tags in nanochannel arrays for de novo genome assembly. We investigated the capacity of this NGM platform to identify pathogenic SV in a series of patients diagnosed with Duchenne muscular dystrophy (DMD), due to large deletions, insertion, and inversion involving the DMD gene.ResultsWe identified deletion, duplication, and inversion breakpoints within DMD. The sizes of deletions were in the range of 45-250 Kbp, whereas the one identified insertion was approximately 13 Kbp in size. This method refined the location of the break points within introns for cases with deletions compared to current polymerase chain reaction (PCR)-based clinical techniques. Heterozygous SV were detected in the known carrier mothers of the DMD patients, demonstrating the ability of the method to ascertain carrier status for large SV. The method was also able to identify a 5.1-Mbp inversion involving the DMD gene, previously identified by RNA sequencing.ConclusionsWe showed the ability of NGM technology to detect pathogenic structural variants otherwise missed by PCR-based techniques or chromosomal microarrays. NGM is poised to become a new tool in the clinical genetic diagnostic strategy and research due to its ability to sensitively identify large genomic variations.

BackgroundAlthough there is evidence linking smoking and heart failure (HF), the association between lifetime smoking exposure and HF in older adults and the strength of this association among current and past smokers is not well known.MethodsWe examined the association between smoking status, pack-years of exposure, and incident HF risk in 2,125 participants of the Health, Aging, and Body Composition Study (age 73.6 ± 2.9 years, 69.7% women, 54.2% whites) using proportional hazard models.ResultsAt inception, 54.8% of participants were nonsmokers, 34.8% were past smokers, and 10.4% were current smokers. During follow-up (median 9.4 years), HF incidence was 11.4 per 1,000 person-years in nonsmokers, 15.2 in past smokers (hazard ratio [HR] vs nonsmokers 1.33, 95% CI 1.01-1.76, P = .045), and 21.9 in current smokers (HR 1.93, 95% CI 1.30-2.84, P = .001). After adjusting for HF risk factors, incident coronary events, and competing risk for death, a dose-effect association between pack-years of exposure and HF risk was observed (HR 1.09, 95% CI 1.05-1.14, P < .001 per 10 pack-years). Heart failure risk was not modulated by pack-years of exposure in current smokers. In past smokers, HR for HF was 1.05 (95% CI 0.64-1.72) for 1 to 11 pack-years, 1.23 (95% CI 0.82-1.83) for 12 to 35 pack-years, and 1.64 (95% CI 1.11-2.42) for >35 pack-years of exposure in fully adjusted models (P < .001 for trend) compared with nonsmokers.ConclusionsIn older adults, both current and past cigarette smoking increase HF risk. In current smokers, this risk is high irrespective of pack-years of exposure, whereas in past smokers, there was a dose-effect association.

Introduction: Immune checkpoint blockade (ICB) improved clinical outcomes in renal and bladder cancer patients, but the response rates remain limited especially in metastatic disease. While STAT3 transcription factor is well-known master regulator of tumor immune evasion, little is known about the role of STAT3 in the resistance of renal or bladder cancers to immunotherapy. Methods: To better understand immune alterations associated with ICB resistance, we assessed blood biomarkers in renal cancer patients classified as responders or non-responders to first line nivolumab/ipilimumab immunotherapy. Results: We observed that non-responders showed elevated levels of proinflammatory mediators, such as IL-1RA, IL-6, IL-8 and to lesser extent IL-10, which are associated with STAT3 activation and tumor immunosuppression. In addition, we found STAT3 activation primarily in circulating myeloid immune cells such as tolerogenic MDSCs. To assess whether STAT3 inhibition within these cell subsets can promote antitumor immune responses and/or enhance sensitivity to ICB in vivo, we used an original antisense oligonucleotide (ASO) strategy for myeloid-cell selective STAT3 knockdown (CpG-STAT3ASO). Our results in syngeneic models of renal and bladder cancers in mice demonstrated potent antitumor activity of CpG-STAT3ASO alone in contrast to PD1 blockade alone in both models. The CpG-STAT3ASO/anti-PD1 combination improved therapeutic efficacy especially against bladder tumors. Therapeutic efficacy correlated with activation of dendritic cells (DCs) and M1 macrophages in the tumor microenvironment, reduced percentages of regulatory T cells (Tregs) and the expansion of CD8 T cells in both tumor models. Discussion/Conclusion: Our study underscores the potential of using myeloidcell targeted CpG-STAT3 inhibitors for genitourinary cancer therapy to disrupt tolerogenic signaling, restore immune cell activity and sensitivity to immune checkpoint inhibitors and/or T cell-based immunotherapies. [ABSTRACT FROM AUTHOR]