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Accurate maps of species ranges are essential to inform conservation, but time-consuming to produce and update. Given the pace of change of knowledge about species distributions and shifts in ranges under climate change and land use, a need exists for timely mapping approaches that enable batch processing employing widely available data. We develop a systematic approach of batch-processing range maps and derived Area of Habitat maps for terrestrial bird species with published ranges below 125,000 km2 in Central and South America. (Area of Habitat is the habitat available to a species within its range.) We combine existing range maps with the rapidly expanding crowd-sourced eBird data of presences and absences from frequently surveyed locations, plus readily accessible, high resolution satellite data on forest cover and elevation to map the Area of Habitat available to each species. Users can interrogate the maps produced to see details of the observations that contributed to the ranges. Previous estimates of Areas of Habitat were constrained within the published ranges and thus were, by definition, smaller-typically about 30%. This reflects how little habitat within suitable elevation ranges exists within the published ranges. Our results show that on average, Areas of Habitat are 12% larger than published ranges, reflecting the often-considerable extent that eBird records expand the known distributions of species. Interestingly, there are substantial differences between threatened and non-threatened species. Some 40% of Critically Endangered, 43% of Endangered, and 55% of Vulnerable species have Areas of Habitat larger than their published ranges, compared with 31% for Near Threatened and Least Concern species. The important finding for conservation is that threatened species are generally more widespread than previously estimated.

BackgroundCisplatin, a chemotherapy used to treat solid tumors, causes acute kidney injury (AKI), a known risk factor for chronic kidney disease and mortality. AKI diagnosis relies on biomarkers which are only measurable after kidney damage has occurred and functional impairment is apparent; this prevents timely AKI diagnosis and treatment. Metabolomics seeks to identify metabolite patterns involved in cell tissue metabolism related to disease or patient factors. The A Canadian study of Cisplatin mEtabolomics and NephroToxicity (ACCENT) team was established to harness the power of metabolomics to identify novel biomarkers that predict risk and discriminate for presence of cisplatin nephrotoxicity, so that early intervention strategies to mitigate onset and severity of AKI can be implemented.ObjectiveDescribe the design and methods of the ACCENT study which aims to identify and validate metabolomic profiles in urine and serum associated with risk for cisplatin-mediated nephrotoxicity in children and adults.DesignObservational prospective cohort study.SettingSix Canadian oncology centers (3 pediatric, 1 adult and 2 both).PatientsThree hundred adults and 300 children planned to receive cisplatin therapy.MeasurementsDuring two cisplatin infusion cycles, serum and urine will be measured for creatinine and electrolytes to ascertain AKI. Many patient and disease variables will be collected prospectively at baseline and throughout therapy. Metabolomic analyses of serum and urine will be done using mass spectrometry. An untargeted metabolomics approach will be used to analyze serum and urine samples before and after cisplatin infusions to identify candidate biomarkers of cisplatin AKI. Candidate metabolites will be validated using an independent cohort.MethodsPatients will be recruited before their first cycle of cisplatin. Blood and urine will be collected at specified time points before and after cisplatin during the first infusion and an infusion later during cancer treatment. The primary outcome is AKI, defined using a traditional serum creatinine-based definition and an electrolyte abnormality-based definition. Chart review 3 months after cisplatin therapy end will be conducted to document kidney health and survival.LimitationsIt may not be possible to adjust for all measured and unmeasured confounders when evaluating prediction of AKI using metabolite profiles. Collection of data across multiple sites will be a challenge.ConclusionsACCENT is the largest study of children and adults treated with cisplatin and aims to reimagine the current model for AKI diagnoses using metabolomics. The identification of biomarkers predicting and detecting AKI in children and adults treated with cisplatin can greatly inform future clinical investigations and practices.

Sudden infant death syndrome (SIDS) is the most common cause of death for infants between 1 month and 1 year of age in the United States. The objective was to examine recent trends in SIDS in the United States, over time and by sex and race. A population-based cross-sectional study was conducted on 80 710 348 live births using data from the Center for Disease Control and Prevention's (CDC) "Birth Data" and "Mortality Multiple Cause" files from 2000 to 2019. Logistic regression examined the effects of sex and race on the risk of SIDS and examined temporal changes in risk across sex and race over the study period. Incidence of SIDS decreased from 6.3 to 3.4/10 000 births from 2000 to 2019, with an overall incidence of 4.9/10 000 births (95% confidence interval [CI] = 4.4-5.3). Male infants were at the greatest risk of SIDS as were black and American Indian infants. Although SIDS incidence decreased by sex and race over time, the decline was smaller among Hispanic and American Indian infants. [ABSTRACT FROM AUTHOR]

Background and Purpose- Although there are no trials or large cohorts to inform clinical care, current guidelines caution against giving intravenous tPA (tissue-type plasminogen activator) to patients with acute ischemic stroke who are taking non-vitamin K antagonist oral anticoagulants (NOACs). We performed a literature review of intravenous tPA in patients treated with NOACs preceding stroke. Methods- A literature search of PubMed was performed encompassing January 2010 to March 2018. Patient characteristics, timing of last medication intake, laboratory testing, use of reversal, and outcomes ≤3 months after discharge were summarized. Results- We identified 55 studies with 492 NOAC patients receiving tPA (dabigatran, 181; rivaroxaban, 215; apixaban, 40; and unspecified NOAC, 56). Among patients with complete data, the median time from the last NOAC intake to symptom onset was 8 hours (interquartile range, 2.5-14.5), with 55.2% (80/145) within 12 hours. Few patients underwent sensitive laboratory tests, such as thrombin time, diluted thrombin time, or anti-Xa assays before tPA administration. The overall observed rates of symptomatic intracranial hemorrhage, mortality, and favorable outcomes (National Institutes of Health Stroke Scale score, ≤1; modified Rankin Scale score, 0-2; or neurological improvement in the National Institutes of Health Stroke Scale score, ≥8 points) were 4.3% (20/462), 11.3% (48/423), and 43.7% (164/375), respectively. Among dabigatran-treated patients, reversal with idarucizumab was associated with fewer symptomatic intracranial hemorrhage (4.5% [2/44] versus 7.4% [8/108]; unadjusted odds ratio, 0.60; 95% CI, 0.12-2.92), death (4.5% [2/44] versus 12.0% [13/108]; unadjusted odds ratio, 0.35; 95% CI, 0.08-1.61), and more favorable outcomes (79.1% [34/43] versus 39.2% [29/74]; unadjusted odds ratio, 5.86; 95% CI, 2.45-14.00), although the differences were not statistically significant for symptomatic intracranial hemorrhage and death. Conclusions- These preliminary observations suggest that tPA may be reasonably well tolerated without prohibitive risks of bleeding complications in selected patients on NOACs. Reversal of anticoagulant effects by idarucizumab for dabigatran-treated patients before tPA is an emerging strategy that was associated with more favorable outcomes.

Purpose: Patients may seek online information to better understand medical imaging procedures. The purpose of this study was to assess the accuracy of information provided by 2 popular artificial intelligence (AI) chatbots pertaining to common imaging scenarios' risks, benefits, and alternatives. Methods: Fourteen imaging-related scenarios pertaining to computed tomography (CT) or magnetic resonance imaging (MRI) were used. Factors including the use of intravenous contrast, the presence of renal disease, and whether the patient was pregnant were included in the analysis. For each scenario, 3 prompts for outlining the (1) risks, (2) benefits, and (3) alternative imaging choices or potential implications of not using contrast were inputted into ChatGPT and Bard. A grading rubric and a 5-point Likert scale was used by 2 independent reviewers to grade responses. Prompt variability and chatbot context dependency were also assessed. Results: ChatGPT's performance was superior to Bard's in accurately responding to prompts per Likert grading (4.36 ± 0.63 vs 3.25 ± 1.03 seconds, P <.0001). There was substantial agreement between independent reviewer grading for ChatGPT (κ = 0.621) and Bard (κ = 0.684). Response text length was not statistically different between ChatGPT and Bard (2087 ± 256 characters vs 2162 ± 369 characters, P =.24). Response time was longer for ChatGPT (34 ± 2 vs 8 ± 1 seconds, P <.0001). Conclusions: ChatGPT performed superior to Bard at outlining risks, benefits, and alternatives to common imaging scenarios. Generally, context dependency and prompt variability did not change chatbot response content. Due to the lack of detailed scientific reasoning and inability to provide patient-specific information, both AI chatbots have limitations as a patient information resource. [ABSTRACT FROM AUTHOR]