474 research outputs found
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Pollution, mortality and optimal environmental policy
We study an overlapping generations economy in which environmental degradation results from economic activity and affects agents' uncertain lifetimes. Life expectancy depends positively on economic activity and negatively on the stock of pollution. This can make the growth-survival relationship convex over some region and lead to two non-trivial steady states, with one a poverty trap. Uniform abatement taxes can cause the poverty trap to widen while increasing incomes at the high steady state. We also study the properties and dynamics of an optimal second-best abatement tax. It is non-homogeneous and increasing in the capital stock, and leads to a variety of dynamic possibilities, including non-existence and multiplicity of steady states, and cycles around some of the steady states, where there were none under exogenous taxes. Thus, optimal taxes can be an independent source of non-linearities
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Pollution, Mortality and Optimal Environmental Policy
We study pollution, mortality and growth in an overlapping generations economy with uncertain lifetimes. Economic activity creates pollution: the stock of pollution has a negative effect on life expectancy while higher income (proxying either for better nutrition and immunity or for better availability of public health) has a prophylactic effect on mortality. These counteracting effects can make the growth-survival relationship non-concave and lead to multiple steady states and a poverty trap. An increase in exogenous abatement taxes can increase the basin of the poverty trap. We study a dynamically consistent sequence of secondbest abatement taxes. The optimal tax is shown to be a non-homogeneous and increasing function of the current capital stock with the optimal tax zero for low levels of capital. The feedback effect from the capital stock to the optimal tax can make optimal abatement policy an independent source of non-linearities leading to non-existence and multiplicity of steady states, as well as oscillations around some steady states when there are none under exogenous taxes
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Pollution, Mortality and Time-Consistent Abatement Taxes
We study dynamically consistent policy in a neoclassical overlapping generations growth model where pollution externalities undermine health but are mitigated via tax- nanced abatement. With arbitrarily constant taxation, two steady states arise: an unstable `poverty trap' and a `neoclassical' steady state near which the dynamics might either be monotonically convergent or oscillating. When the planner chooses a time consistent abatement path that maximises a weighted intergenerational sum of expected utility, the optimal tax is zero at low levels of capital and then a weakly increasing function of the capital stock. The non-homogeneity of the tax function along with its feedback e ect on savings induces additional steady states, stability reversals and oscillations
Implementation of Telehealth in Radiation Oncology: Rapid Integration During COVID-19 and its Future Role in our Practice.
Introduction: The widespread coronavirus disease 2019 (COVID-19) has resulted in significant changes in care delivery among radiation oncology practices and demanded the rapid incorporation of telehealth. However, the impact of a large-scale transition to telehealth in radiation oncology on patient access to care and the viability of care delivery are largely unknown. In this manuscript, we review our implementation and report data on patient access to care and billing implications. As telehealth is likely to continue after COVID-19, we propose a radiation oncology-specific algorithm for telehealth.
Material and Methods: In March 2020, our department began to use telehealth for all new consults, post-treatment encounters, and follow-up appointments. Billable encounters from January to April 2020 were reviewed and categorized into one of the following visit types: in-person, telephonic, or two-way audio-video. Logistic regression models tested whether visit type differed by patient age, income, or provider.
Results: There was a 35% decrease in billable activity from January to April. In-person visits decreased from 100% to 21%. Sixty percent of telehealth appointments in April were performed with two-way audio-video, and 40% by telephonic only. In-person consultation visits were associated with higher billing codes compared to two-way audio-video telehealth visits (p
Conclusions: Since the onset of COVID-19 pandemic, we were able to move the majority of patient visits to telehealth but observed inconsistent utilization of the audio-video telehealth platform. We present guidelines and quality metrics for incorporating telehealth in radiation oncology practice, based on type of encounter and disease subsite
Comparison of Clinical and Epidemiologic Characteristics of Young Febrile Infants with and without SARS-CoV-2 Infection.
OBJECTIVE: To determine features that distinguish febrile young infants with SARS-CoV-2 infection.
STUDY DESIGN: Retrospective single-center study included febrile infantsChildren\u27s Medical Center of Northwell Health, New Hyde Park, New York during March 1-April 30 of 2018, 2019, and 2020. Sociodemographic and clinical features were compared between those seen during the 2020 COVID-19 pandemic and previous years, as well as between SARS-CoV-2 infected infants and SARS-CoV-2 uninfected infants (SARS-CoV-2 negative or evaluated during 2018 and 2019).
RESULTS: In all, 124 febrile infantsidentified; 38 during the 2-month study period in 2018, 33 in 2019, and 53 in 2020. During 2020, fewer febrile infants had a serious bacterial infection (SBI) or a positive respiratory viral panel (RVP) than in prior years (6% versus 21%, P = .02; 15% versus 53%, p
CONCLUSIONS: During the peak of the pandemic, SARS-CoV-2 was the predominant pathogen among febrile infants. Socioeconomic, historical, and laboratory features differed significantly between SARS-CoV-2 infected and uninfected infants. None of the 20 infants with SARS-CoV-2 infection had an identified co-viral or serious bacterial infection
Poly(ADP-ribose) polymerase family member 14 (PARP14) is a novel effector of the JNK2-dependent pro-survival signal in multiple myeloma
Copyright @ 2013 Macmillan Publishers Limited. This is the author's accepted manuscript. The final published article is available from the link below.Regulation of cell survival is a key part of the pathogenesis of multiple myeloma (MM). Jun N-terminal kinase (JNK) signaling has been implicated in MM pathogenesis, but its function is unclear. To elucidate the role of JNK in MM, we evaluated the specific functions of the two major JNK proteins, JNK1 and JNK2. We show here that JNK2 is constitutively activated in a panel of MM cell lines and primary tumors. Using loss-of-function studies, we demonstrate that JNK2 is required for the survival of myeloma cells and constitutively suppresses JNK1-mediated apoptosis by affecting expression of poly(ADP-ribose) polymerase (PARP)14, a key regulator of B-cell survival. Strikingly, we found that PARP14 is highly expressed in myeloma plasma cells and associated with disease progression and poor survival. Overexpression of PARP14 completely rescued myeloma cells from apoptosis induced by JNK2 knockdown, indicating that PARP14 is critically involved in JNK2-dependent survival. Mechanistically, PARP14 was found to promote the survival of myeloma cells by binding and inhibiting JNK1. Moreover, inhibition of PARP14 enhances the sensitization of MM cells to anti-myeloma agents. Our findings reveal a novel regulatory pathway in myeloma cells through which JNK2 signals cell survival via PARP14, and identify PARP14 as a potential therapeutic target in myeloma.Kay Kendall Leukemia Fund, NIH, Cancer Research UK, Italian Association for Cancer Research and the Foundation for Liver Research
Are children with SARS-CoV-2 infection at high risk for thrombosis? Viscoelastic testing and coagulation profiles in a case series of pediatric patients
© 2020 Wiley Periodicals LLC The coagulopathy of the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is well documented in adults, with increases in D-dimer and prothrombin time found to be strong predictors of mortality, and anticoagulation shown to decrease this mortality. Viscoelastic parameters such as elevations in maximum clot firmness (MCF) on rotational thromboelastometry (ROTEM) have correlated with a hypercoagulable state in adults with SARS-CoV-2. We report our experience in children infected with SARS-CoV-2, with noted elevations in D-dimer and MCF on ROTEM (indicating hypercoagulability). Exploration of viscoelastic testing to provide additional laboratory-based evidence for pediatric-specific risk assessment for thromboprophylaxis in SARS-CoV-2 is warranted
IL-4 impairs wound healing potential in the skin by repressing fibronectin expression
BACKGROUND:
Atopic dermatitis (AD) is characterized by intense pruritis and is a common childhood inflammatory disease. Many factors are known to affect AD development, including the pleiotropic cytokine IL-4. Yet little is known regarding the direct effects of IL-4 on keratinocyte function.
OBJECTIVE AND METHODS:
In this report RNA sequencing and functional assays were used to define the effect of the allergic environment on primary keratinocyte function and wound repair in mice.
RESULTS:
Acute or chronic stimulation by IL-4 modified expression of more than 1000 genes expressed in human keratinocytes that are involved in a broad spectrum of nonoverlapping functions. Among the IL-4-induced changes, repression of fibronectin critically impaired the human keratinocyte wound response. Moreover, in mouse models of spontaneous and induced AD-like lesions, there was delayed re-epithelialization. Importantly, topical treatment with fibronectin restored the epidermal repair response.
CONCLUSION:
Keratinocyte gene expression is critically shaped by IL-4, altering cell fate decisions, which are likely important for the clinical manifestations and pathology of allergic skin disease
Transcriptional diversity of long-term glioblastoma survivors
BACKGROUND: Glioblastoma (GBM) is a highly aggressive type of glioma with poor prognosis. However, a small number of patients live much longer than the median survival. A better understanding of these long-term survivors (LTSs) may provide important insight into the biology of GBM. METHODS: We identified 7 patients with GBM, treated at Memorial Sloan-Kettering Cancer Center (MSKCC), with survival \u3e48 months. We characterized the transcriptome of each patient and determined rates of MGMT promoter methylation and IDH1 and IDH2 mutational status. We identified LTSs in 2 independent cohorts (The Cancer Genome Atlas [TCGA] and NCI Repository for Molecular Brain Neoplasia Data [REMBRANDT]) and analyzed the transcriptomal characteristics of these LTSs. RESULTS: The median overall survival of our cohort was 62.5 months. LTSs were distributed between the proneural (n = 2), neural (n = 2), classical (n = 2), and mesenchymal (n = 1) subtypes. Similarly, LTS in the TCGA and REMBRANDT cohorts demonstrated diverse transcriptomal subclassification identities. The majority of the MSKCC LTSs (71%) were found to have methylation of the MGMT promoter. None of the patients had an IDH1 or IDH2 mutation, and IDH mutation occurred in a minority of the TCGA LTSs as well. A set of 60 genes was found to be differentially expressed in the MSKCC and TCGA LTSs. CONCLUSIONS: While IDH mutant proneural tumors impart a better prognosis in the short-term, survival beyond 4 years does not require IDH mutation and is not dictated by a single transcriptional subclass. In contrast, MGMT methylation continues to have strong prognostic value for survival beyond 4 years. These findings have substantial impact for understanding GBM biology and progression
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