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Background: A consistent approach to cervical spine injury (CSI) clearance for patients 65 and older remains a challenge. Clinical clearance algorithms like the National Emergency X-Radiography Utilisation Study (NEXUS) criteria have variable accuracy and the Canadian C-spine rule excludes older patients. Routine CT of the cervical spine is performed to rule out CSI but at an increased cost and low yield. Herein, we aimed to identify predictive clinical variables to selectively screen older patients for CSI.Methods: The University of Iowa's trauma registry was interrogated to retrospectively identify all patients 65 years and older who presented with trauma from a ground-level fall from January 2012 to July 2017. The relationship between predictive variables (demographics, NEXUS criteria and distracting injuries) and presence of CSI was examined using the generalised linear modelling (GLM) framework. A training set was used to build the statistical models to identify clinical variables that can be used to predict CSI and a validation set was used to assess the reliability and consistency of the model coefficients estimated from the training set.Results: Overall, 2312 patients ≥65 admitted for ground-level falls were identified; 253 (10.9%) patients had a CSI. Using the GLM framework, the best predictive model for CSI included midline tenderness, focal neurological deficit and signs of trauma to the head/face, with midline tenderness highly predictive of CSI (OR=22.961 (15.178-34.737); p<0.001). The negative predictive value (NPV) for this model was 95.1% (93.9%-96.3%). In the absence of midline tenderness, the best model included focal neurological deficit (OR=2.601 (1.340-5.049); p=0.005) and signs of trauma to the head/face (OR=3.024 (1.898-4.815); p<0.001). The NPV was 94.3% (93.1%-95.5%).Conclusion: Midline tenderness, focal neurological deficit and signs of trauma to the head/face were significant in this older population. The absence of all three variables indicates lower likelihood of CSI for patients≥65. Future observational studies are warranted to prospectively validate this model. [ABSTRACT FROM AUTHOR]

Background and Objectives The National Health and Aging Trends Study (NHATS) is an ongoing, nationally representative panel study of older adults that collects data on health and disability, including measures on self-reported visual disability (SRVD). Prior studies assessing the association of SRVD with other measures of healthy aging have classified participants as having or not having SRVD, which does not capture the full spectrum of SRVD reported by participants. Therefore, we sought to develop and validate an ordinal indicator of SRVD to facilitate research on the impact of late-life SRVD on health and disability in NHATS. Research Design and Methods We used 2015 NHATS data with community-dwelling participants who answered survey questions about visual functioning and vision aid use. Based on responses, participants were categorized into one of 6 groups: blind, near and distance SRVD without vision aid use, near and distance SRVD with vision aid use, near or distance SRVD without vision aid use, near or distance SRVD with vision aid use, or no SRVD. Multivariable Poisson regression models assessed convergent validity of the ordinal SRVD scale with functional activity and well-being scores, while adjusting for demographic factors and medical comorbidities. Results Of the 7061 eligible individuals, 8.3% (n = 742) reported SRVD. Using our novel ordinal indicator of SRVD in NHATS, higher levels of SRVD were significantly associated with lower functional activity scores (p <.001 for all) and subjective well-being (p <.001), except for participants reporting blindness. Significant differences between SRVD groups were found, which could not be captured using a binary SRVD variable. Discussion and Implications A novel 6-level SRVD scale in NHATS demonstrated convergent validity with functional activity and well-being scales. This scale provides a new tool with improved measurement precision to study the impact of late-life SRVD on health and disability in a nationally representative study of older adults. [ABSTRACT FROM AUTHOR]

The arsenic (As) content of coal relating with mineralization of gold in Southwest Guizhou Province, China is up to 35,000 ppm. The coal is burned indoors in open pits for daily cooking and crop drying. As a result, arsenic is precipitated and concentrated in corn (5–20 ppm), chili (100–800 ppm) and other foods. Arsenic concentrations in the drinking water of high-As coal areas are lower than 50 ppb. The estimated main sources of As exposure in this area are from polluted food. Approximately, 3000 arsenosis patients were found by 1998, and more than 100,000 people from six counties were under the threat in China. This paper presents the major ingestion pathway of this type arsenosis and relative geochemistry of high-As coal. [ABSTRACT FROM AUTHOR]

Presents information on a study on the major ingestion pathways of arsenic in endemic areas of arsenosis or arsenic poisoning in Guizhou Province, China from 1992 to 1993. Analysis of intake pathways of arsenic; Analysis of arsenic exposure levels due to high-arsenic coal in endemic areas; Conclusion.

Prcis: Drive-through intraocular pressure (IOP) measurement using iCare tonometry is a promising method of low-contact, high-throughput IOP monitoring. However, owing to its vulnerability to variable measurement technique and local air currents, the iCare may overestimate IOPs., Purpose: During the COVID-19 pandemic, a drive-through IOP measurement protocol using the iCare tonometer was established to facilitate low-contact monitoring of select glaucoma patients. As the iCare may be prone to error due to variable measurement technique and local air currents, we endeavored to assess the reliability of drive-through IOP measurements by comparing them with recent measurements taken in clinic settings., Methods: Inclusion criteria were patients with drive-through IOP measurements performed from April 28 to October 11, 2020; exclusion criteria were pre-drive-through IOPs >21 mmHg. Drive-through IOP measurements were compared with the closest previous and/or subsequent in-clinic IOP measurements. Data were gathered using the Sight Outcomes Research Collaborative (SOURCE) data repository., Results: The post-exclusion study group consisted of 314 patients receiving a total of 868 drive-through IOP measurements, all of whom had prior in-clinic measurements, and 56.8% of whom had subsequent in-clinic measurements. Drive-through IOPs were, on average, +2.4 mmHg (+14.5%; SD 4.9) higher than in-clinic IOPs. Further sub-analysis of the data showed a difference of +2.1 mmHg OD and +2.6 mmHg OS. Compared with the closest previous in-clinic visit, the difference was +2.4 mmHg OU (+2.1 mmHg OD, +2.7 mmHg OS); compared with the closest subsequent in-clinic visit, the difference was +2.3 mmHg OU (+2.1 mmHg OD, +2.5 mmHg OS). 68.6% of all drive-through IOPs were higher than corresponding in-clinic IOPs; 21.1% were lower. 25.9% of drive-through IOPs were higher by more than 5 mmHg, whereas 3.9% of drive-through IOPs were lower by more than 5 mmHg., Discussion: As teleophthalmology becomes an ever more important tool in glaucoma patient care, drive-through or walk-through IOP monitoring methods are likely to play an increasing role. However, our data reveals potential inaccuracies in drive-through iCare IOP measurements which tended to overestimate IOP. It is advisable to confirm large changes in IOP with in-clinic measurement before making management decisions., Conclusion: With better optimization of accuracy and reliability of measurements, drive-through tonometry is a promising, high-throughput, low-contact method of measuring IOP., Competing Interests: Disclosure: The authors declare no conflict of interest., (Copyright © 2023 Wolters Kluwer Health, Inc. All rights reserved.)

Background: A consistent approach to cervical spine injury (CSI) clearance for patients 65 and older remains a challenge. Clinical clearance algorithms like the National Emergency X-Radiography Utilisation Study (NEXUS) criteria have variable accuracy and the Canadian C-spine rule excludes older patients. Routine CT of the cervical spine is performed to rule out CSI but at an increased cost and low yield. Herein, we aimed to identify predictive clinical variables to selectively screen older patients for CSI., Methods: The University of Iowa's trauma registry was interrogated to retrospectively identify all patients 65 years and older who presented with trauma from a ground-level fall from January 2012 to July 2017. The relationship between predictive variables (demographics, NEXUS criteria and distracting injuries) and presence of CSI was examined using the generalised linear modelling (GLM) framework. A training set was used to build the statistical models to identify clinical variables that can be used to predict CSI and a validation set was used to assess the reliability and consistency of the model coefficients estimated from the training set., Results: Overall, 2312 patients ≥65 admitted for ground-level falls were identified; 253 (10.9%) patients had a CSI. Using the GLM framework, the best predictive model for CSI included midline tenderness, focal neurological deficit and signs of trauma to the head/face, with midline tenderness highly predictive of CSI (OR=22.961 (15.178-34.737); p<0.001). The negative predictive value (NPV) for this model was 95.1% (93.9%-96.3%). In the absence of midline tenderness, the best model included focal neurological deficit (OR=2.601 (1.340-5.049); p=0.005) and signs of trauma to the head/face (OR=3.024 (1.898-4.815); p<0.001). The NPV was 94.3% (93.1%-95.5%)., Conclusion: Midline tenderness, focal neurological deficit and signs of trauma to the head/face were significant in this older population. The absence of all three variables indicates lower likelihood of CSI for patients≥65. Future observational studies are warranted to prospectively validate this model., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2022. No commercial re-use. See rights and permissions. Published by BMJ.)