Sewer systems provide many services to communities that have access to them beyond removal of waste and wastewater. Understanding of these systems' geographic coverage is essential for wastewater-based epidemiology (WBE), which requires accurate estimates for the population contributing wastewater. Reliable estimates for the boundaries of a sewer service area or sewershed can be used to link upstream populations to wastewater samples taken at treatment plants or other locations within a sewer system. These geographic data are usually managed by public utilities, municipal offices, and some government agencies, however, there are no centralized databases for geographic information on sewer systems in New York State. We created a database for all municipal sewersheds in New York State for the purpose of supporting statewide wastewater surveillance efforts to support public health. We used a combination of public tax records with sewer access information, physical maps, and municipal records to organize and draw digital boundaries compatible with geographic information systems. The methods we employed to create these data will be useful to inform similar efforts in other jurisdictions and the data have many public health applications as well as being informative for water/environmental research and infrastructure projects.
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http://dx.doi.org/10.1371/journal.pgph.0001062 | DOI Listing |
Drugs Aging
January 2025
Program for the Care and Study of the Aging Heart, Department of Medicine, Weill Cornell Medicine, 420 East 70th St, New York, NY, LH-36510063, USA.
There are several pharmacologic agents that have been touted as guideline-directed medical therapy for heart failure with preserved ejection fraction (HFpEF). However, it is important to recognize that older adults with HFpEF also contend with an increased risk for adverse effects from medications due to age-related changes in pharmacokinetics and pharmacodynamics of medications, as well as the concurrence of geriatric conditions such as polypharmacy and frailty. With this review, we discuss the underlying evidence for the benefits of various treatments in HFpEF and incorporate key considerations for older adults, a subpopulation that may be at higher risk for adverse drug events.
View Article and Find Full Text PDFActa Neuropathol
January 2025
Department of Neurology, NYU Grossman School of Medicine, New York, NY, USA.
Down syndrome (DS) is strongly associated with Alzheimer's disease (AD) due to APP overexpression, exhibiting Amyloid-β (Aβ) and Tau pathology similar to early-onset (EOAD) and late-onset AD (LOAD). We evaluated the Aβ plaque proteome of DS, EOAD, and LOAD using unbiased localized proteomics on post-mortem paraffin-embedded tissues from four cohorts (n = 20/group): DS (59.8 ± 4.
View Article and Find Full Text PDFEpilepsia
January 2025
Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Objective: To assess whether social determinants of health (SDOHs) are associated with the first antiseizure medication (ASM) prescribed for newly diagnosed epilepsy.
Methods: The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) standards were followed, and the protocol registered (CRD42023448998). Embase, Medline, and Web of Science were searched up to July 31, 2023.
Background: Neuroblastoma is a heterogeneous disease with adrenergic (ADRN)- and therapy resistant mesenchymal (MES)-like cells driven by distinct transcription factor networks. Here, we investigate the expression of immunotherapeutic targets in each neuroblastoma subtype and propose pan-neuroblastoma and cell state specific targetable cell-surface proteins.
Methods: We characterized cell lines, patient-derived xenografts, and patient samples as ADRN-dominant or MES-dominant to define subtype-specific and pan-neuroblastoma gene sets.
Ann Neurol
January 2025
Department of Neurology, Boston Medical Center and Boston University Chobanian and Avedisian School of Medicine, Boston, MA, USA.
Objective: This study assesses whether longitudinal quantitative pupillometry predicts neurological deterioration after large middle cerebral artery (MCA) stroke and determines how early changes are detectable.
Methods: This prospective, single-center observational cohort study included patients with large MCA stroke admitted to Boston Medical Center's intensive care unit (2019-2024). Associations between time-to-neurologic deterioration and quantitative pupillometry, including Neurological Pupil Index (NPi), were assessed using Cox proportional hazards models with time-dependent covariates adjusted for age, sex, and Alberta Stroke Program Early CT Score.
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