112 research outputs found

    Risk of Depression in a Suburban Primary Care Setting Before and During the COVID-19 Pandemic.

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    INTRODUCTION: Major depression is a common disorder affecting millions of adults each year. Many population-based surveys showed an increase in the number people with symptoms of depression at the onset of the COVID-19 pandemic. Our aim was to determine and compare the prevalence of depression risk in a primary care setting before and during the COVID-19 pandemic. METHODS: We conducted a cross-sectional study based on retrospective review of medical records from a large suburban primary care clinic. Records of adults 18 years and older, seen between January 1, 2019 and December 31, 2020 and who had also been screened for depression using the 9-item Patient Health Questionnaire (PHQ-9) were analyzed. RESULTS: Adults 18 years and older who completed the PHQ-9 assessment in 2019 and 2020 were 5078 and 4338, respectively. Risk of depression was 18.2% in 2019 and 14.8% in 2020 ( CONCLUSION: Although our results did not reflect the published literature reporting a higher prevalence of depression during the COVID-19 pandemic, they were consistent with reports of increased risk in females and younger adults

    Saharan sand and dust storms and neonatal mortality: Evidence from Burkina Faso

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    West African populations are exposed to the longest and harshest dust storms on the planet, the Saharan sand and dust storms (SDS). Nonetheless, little is known about the effects of the severe storms on early-life health in West Africa. This study investigated the association of the risk of neonatal mortality, an indicator of the population's early-life health, with potential prenatal and neonatal exposure to the Saharan SDS. Data on 30,552 under-five children from Burkina Faso's 1993, 2003, and 2010 demographic and health surveys were matched to the particulate matters (PM) and terrestrial air temperature and precipitation forecasts. Exposure to dust events was measured by the number of days with average PM10 and PM2.5 concentrations above a series of threshold. Intensity-dependent patterns of associations between neonatal mortality and both prenatal and birth month exposure to dust events were identified. There was no association if average daily PM10 and PM2.5 levels were <60 and 30 μg/m3, respectively. However, strong associations, which increase almost linearly with the intensity of exposure, were identified when daily PM10 and PM2.5 levels ranged from 70 to 150 and from 40 to 70 μg/m3, respectively. At the higher PM levels, the association for the gestation period decreased, but that for the birth month remained mostly unresponsive to changes in the PM levels. Larger associations were identified when siblings were compared. © 2020 Elsevier B.V

    Soil properties influence the toxicity and availability of Zn from ZnO nanoparticles to earthworms

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    To develop models that support site-specific risk assessment for nanoparticles (NPs), a better understanding of how NP transformation processes, bioavailability and toxicity are influenced by soil properties is needed. In this study, the influence of differing soil properties on the bioavailability and toxicity of zinc oxide (ZnO) NPs and ionic Zn to the earthworm Eisenia fetida was investigated. Earthworms were exposed to ZnO_NPs and ionic Zn, between 100 and 4400 mg Zn/kg, in four different natural soils (organic matter content: 1.8–16.7%, soil pH: 5.4–8.3, representing sandy loam to calcareous soils). Survival and reproduction were assessed after 28 and 56 days, respectively. Zn concentrations in soil pore waters were measured while labile concentrations of Zn were measured using an in-situ dynamic speciation technique (diffusive gradient in thin films, DGT). Earthworm Zn tissue concentrations were also measured. Soil properties influenced earthworm reproduction between soil controls, with highest reproductive output in soils with pH values of 6–7. Toxicity was also influenced by soil properties, with EC50s based on total Zn in soil ranging from 694 to >2200 mg Zn/kg for ZnO_NP and 277–734 mg Zn/kg for ionic Zn. Soil pore water and DGT measurements showed good agreement in the relative amount of Zn extracted across the four soils. Earthworms exposed to ZnO_NPs survived higher Zn concentrations in the soils and had higher tissue concentrations compared with ionic Zn exposures, particularly in the high organic content calcareous soil. These higher tissue concentrations in ZnO_NP exposed earthworm could have consequences for the persistence and trophic mobility of Zn in terrestrial systems and need to be further investigated to elucidate if there any longer-term risks associated with sustained input of ZnO_NP to soil

    3D-printed saw guides for lower arm osteotomy, a comparison between a synthetic CT and CT-based workflow

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    BACKGROUND: Three-dimensional (3D)-printed saw guides are frequently used to optimize osteotomy results and are usually designed based on computed tomography (CT), despite the radiation burden, as radiation-less alternatives like magnetic resonance imaging (MRI) have inferior bone visualization capabilities. This study investigated the usability of MR-based synthetic-CT (sCT), a novel radiation-less bone visualization technique for 3D planning and design of patient-specific saw guides. METHODS: Eight human cadaveric lower arms (mean age: 78y) received MRI and CT scans as well as high-resolution micro-CT. From the MRI scans, sCT were generated using a conditional generative adversarial network. Digital 3D bone surface models based on the sCT and general CT were compared to the surface model from the micro-CT that was used as ground truth for image resolution. From both the sCT and CT digital bone models saw guides were designed and 3D-printed in nylon for one proximal and one distal bone position for each radius and ulna. Six blinded observers placed these saw guides as accurately as possible on dissected bones. The position of each guide was assessed by optical 3D-scanning of each bone with positioned saw guide and compared to the preplanning. Eight placement errors were evaluated: three translational errors (along each axis), three rotational errors (around each axis), a total translation (∆T) and a total rotation error (∆R). RESULTS: Surface models derived from micro-CT were on average smaller than sCT and CT-based models with average differences of 0.27 ± 0.30 mm for sCT and 0.24 ± 0.12 mm for CT. No statistically significant positioning differences on the bones were found between sCT- and CT-based saw guides for any axis specific translational or rotational errors nor between the ∆T (p = .284) and ∆R (p = .216). On Bland-Altman plots, the ∆T and ∆R limits of agreement (LoA) were within the inter-observer variability LoA. CONCLUSIONS: This research showed a similar error for sCT and CT digital surface models when comparing to ground truth micro-CT models. Additionally, the saw guide study showed equivalent CT- and sCT-based saw guide placement errors. Therefore, MRI-based synthetic CT is a promising radiation-less alternative to CT for the creation of patient-specific osteotomy surgical saw guides

    Investigation of diffusion and binding properties of uranium in the diffusive gradients in thin-films technique

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    Environmental context: Monitoring uranium concentrations and speciation in aquatic systems is important for pollution control and for environmental studies. Although an in situ speciation technique based on diffusion and uptake of uranium has been developed, known as DGT, there were uncertainties over some parameters affecting the accuracy of the measurements. This study resolved those uncertainties by investigating diffusion and binding properties of uranium in DGT and provided confidence in monitoring uranium in the environment. Rationale: Diffusive gradients in thin-films (DGT) ha been used for uranium speciation measurements since 2006, but interpretational difficulties have arisen due to uncertainties in the pH dependence of U diffusion coefficients (D) within the diffusive gel. This work tested the hypothesis that differences in measured D values between laboratories are due to methodological artifacts. Methodology: The properties of uranium binding and diffusion of U within DGT were systematically investigated at different conditions between pH 3-8 and ionic strength from 1 to 500 mmol L-1. Previous uncertainties were attributed to loss of U by adsorption within the diffusion cell, identified by mass balance calculations, and a binding efficiency dependent on the type of binding gel. Results: The diffusion coefficient in an agarose cross-linked polyacrylamide gel measured using Metsorb DGT of 5.26 ± 0.17 × 10-6 cm2 s-1 agreed well with both values obtained using a pre-conditioned diffusion cell (< 7% difference) and by modelling. The binding efficiencies for Chelex DGT (BChelex = 0.86-0.89) and Fe-oxide DGT (BFe-oxide = 0.64 were smaller than for Metsorb DGT (BMetsorb = 1). No significant differences were found for BChelex at different pH. Discussion: This work demonstrated that the diffusion coefficient of uranium is independent of pH and the binding gel used, provided the binding efficiency (B) is taken into account. These findings indicate that DGT equipped with either Metsorb or Chelex binding gels should be capable of measuring U for a wide range of environmental conditions provided the appropriate diffusion coefficients and binding efficiencies are used

    Risk of Depression in a Suburban Primary Care Setting Before and During the COVID-19 Pandemic

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    Introduction: Major depression is a common disorder affecting millions of adults each year. Many population-based surveys showed an increase in the number people with symptoms of depression at the onset of the COVID-19 pandemic. Our aim was to determine and compare the prevalence of depression risk in a primary care setting before and during the COVID-19 pandemic. Methods: We conducted a cross-sectional study based on retrospective review of medical records from a large suburban primary care clinic. Records of adults 18 years and older, seen between January 1, 2019 and December 31, 2020 and who had also been screened for depression using the 9-item Patient Health Questionnaire (PHQ-9) were analyzed. Results: Adults 18 years and older who completed the PHQ-9 assessment in 2019 and 2020 were 5078 and 4338, respectively. Risk of depression was 18.2% in 2019 and 14.8% in 2020 ( P  < .001). In adults under 50 years and those 50 years and older, depression risk was 20.7% versus 15.3% in 2019 ( P  < .001) and 17.3% versus 12.6% in 2020 ( P  < .001), respectively. In females, depression risk was 20.0% in 2019 and 16.8% in 2020 ( P  < .01), and in males, 14.1% in 2019 and 10.6% in 2020 ( P  < .01). Conclusion: Although our results did not reflect the published literature reporting a higher prevalence of depression during the COVID-19 pandemic, they were consistent with reports of increased risk in females and younger adults
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