Rapidly changing wildfire regimes across the Western United States have driven more frequent and severe wildfires, resulting in wide-ranging societal threats from wildfires and wildfire-generated smoke. However, common measures of fire severity focus on what is burned, disregarding the societal impacts of smoke generated from each fire. We combine satellite-derived fire scars, air parcel trajectories from individual fires, and predicted smoke PM to link source fires to resulting smoke PM and health impacts experienced by populations in the contiguous United States from April 2006 to 2020. We quantify fire-specific accumulated smoke exposure based on the cumulative population exposed to smoke PM over the duration of a fire and estimate excess asthma-related emergency department (ED) visits as a result of this exposure. We find that excess asthma visits attributable to each fire are only moderately correlated with common measures of wildfire severity, including burned area, structures destroyed, and suppression cost. Additionally, while recent California fires contributed nearly half of the country's smoke-related excess asthma ED visits during our study period, the most severe individual fire was the 2007 Bugaboo fire in the Southeast. We estimate that a majority of smoke PM comes from sources outside the local jurisdictions where the smoke is experienced, with 87% coming from fires in other counties and 60% from fires in other states. Our approach could enable broad-scale assessment of whether specific fire characteristics affect smoke toxicity or impact, inform cost-effectiveness assessments for allocation of suppression resources, and help clarify the growing transboundary nature of local air quality.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10743475 | PMC |
http://dx.doi.org/10.1073/pnas.2309325120 | DOI Listing |
J Hand Surg Am
January 2025
Department of Orthopaedic Surgery, Duke University School of Medicine, Durham, NC. Electronic address:
Purpose: Our goal was to determine the association between the severity of electrodiagnostic (EDX) studies with the cross-sectional area (CSA) of the ulnar nerve at the cubital tunnel using diagnostic ultrasound. Based on our clinical experience, we hypothesized there would not be a positive correlation between the severity of EDX and ulnar nerve CSA.
Methods: This was a retrospective analysis of patients 18 years or older evaluated from May 1, 2020, to June 31, 2021, referred for an upper limb EDX and neuromuscular ultrasound to evaluate for an upper limb neuropathy.
Intern Med J
January 2025
Renal Medicine, Latrobe Regional Hospital, Traralgon, Victoria, Australia.
Background And Aims: The COVID-19 pandemic impacted greatest among patients with pre-existing chronic health conditions, including chronic kidney disease. This retrospective cohort study aimed to investigate the 30-day mortality of patients receiving kidney replacement therapy (KRT) after infection with COVID-19, living in Australia and New Zealand between 2020 and 2022, including patients on haemodialysis (HD), peritoneal dialysis (PD) and renal transplant (KT) recipients.
Methods: This is a retrospective cohort study using data from the Australian and New Zealand Dialysis and Transplant Registry (ANZDATA).
J Clin Med
January 2025
Faculty of Medicine, "Carol-Davila" University of Medicine and Pharmacy, 050474 Bucharest, Romania.
: Bupropion, an atypical antidepressant and smoking cessation aid, is known for its potential to cause seizures, cardiotoxicity and neurotoxicity in overdose scenarios. However, overdoses may present variably, and muscular and renal complications, such as rhabdomyolysis and acute kidney injury (AKI), can emerge in unexpected ways. Previous reports have shown that severe overdoses can lead to a spectrum of complications, but the precise mechanisms linking bupropion overdose with rhabdomyolysis remain poorly understood.
View Article and Find Full Text PDFJ Clin Med
December 2024
Health Services Vocational School, Ankara Medipol University, Ankara 06050, Türkiye.
: This study was aimed to identify the most effective machine learning (ML) algorithm for predicting preeclampsia based on sociodemographic and obstetric factors during the preconception period. : Data from pregnant women admitted to the obstetric clinic during their first trimester were analyzed, focusing on maternal age, body mass index (BMI), smoking status, history of diabetes mellitus, gestational diabetes mellitus, and mean arterial pressure. The women were grouped by whether they had a preeclampsia diagnosis and by whether they had one or two live births.
View Article and Find Full Text PDFJ Clin Med
December 2024
Division of Endocrinology and Metabolism, Department of Internal Medicine, Yeouido St. Mary's Hospital, College of Medicine, The Catholic University of Korea, 10, 63-ro, Yeongdeungpo-gu, Seoul 07345, Republic of Korea.
This national population-based study aimed to assess the cumulative burden of non-alcoholic fatty liver disease (NAFLD) measured via the fatty liver index (FLI) and its association with kidney cancer risk in young men aged 20-39. : Using the Korean National Health Insurance Service database, we examined a cohort of 1,007,906 men (age 20-39) who underwent four consecutive annual check-ups from 2009 to 2012. The FLI, calculated from body mass index values, waist circumference, triglyceride levels, and gamma-glutamyl transferase levels, was used to quantify the cumulative burden of NAFLD (FLI ≥ 60).
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!