Background: Home monitoring of hyperacuity allows early detection of progression in exudative neovascular age-related macular degeneration (nvAMD) and diabetic macular oedema (DMO). However, false alarms may pose a significant burden to both patients and healthcare professionals alike.
Purpose: To assess the false alarm rate and positive predictive value of smartphone-based home monitoring of nvAMD and DMO.
Methods: Patients treated with anti-angiogenic therapy in a pro re nata scheme for nvAMD or DMO at the Medical Retina service (Lucerne, Switzerland) between March and June 2016 were included in this prospective cohort study. The home monitoring test Alleye (Oculocare Ltd, Switzerland) provided a session score from 0-100 in addition to a traffic-light system feedback via the smartphone application. Three consecutive "red" scores were considered as a positive test or alarm signal. Specificity, 1-specificity (false alarm rate) and the predictive value for optical coherence tomography-based disease progression were analysed.
Results: 73 eyes of 56 patients performed 2258 tests in 222 "follow-up periods". Progression was observed in 141 periods (63.5%). The specificity of the test was 93.8% (95% CI: 86.2-98.0%), the false alarm rate 6.1% (95% CI: 2.0-13.8%), and the positive predictive value 80.0% (95% CI: 59.3-93.2%) for the detection of progression.
Conclusion: False alarm rates for the detection of progression in macular disease via home monitoring is low. These findings suggest that home monitoring may be a useful adjunct for remote management of nvAMD and DMO.
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http://dx.doi.org/10.1038/s41433-020-01356-2 | DOI Listing |
Accid Anal Prev
March 2025
School of Transportation Engineering, Chang'an University, Xi'an, China; Engineering Research Center of Highway Infrastructure Digitalization, Ministry of Education, Xi'an, China. Electronic address:
Vehicle trajectory data can reveal actual driving behavior patterns reflected by different road geometric designs, providing important insights for road safety analysis and improvements. This study aims to is to explore the correlation between vehicle trajectory fractal dimension (FD) and highway crash rate (CR) using large-scale telematics trajectory data. Specifically, we propose three methods to measure the FD of vehicle trajectories, and developed fractal parameter estimation technology.
View Article and Find Full Text PDFJ Med Internet Res
March 2025
Department of Anesthesiology, Wake Forest University School of Medicine, Winston Salem, NC, United States.
Background: Continuous and wireless vital sign (VS) monitoring on hospital wards is superior to intermittent VS monitoring at detecting VS abnormalities; however, the impact on clinical outcomes remains to be confirmed. A recent propensity-matched study of primary surgical patients found decreased odds of intensive care unit (ICU) admission and mortality in patients receiving continuous monitoring. Primary surgical patients are inherently different from their medical counterparts who typically have high morbidity, including frailty.
View Article and Find Full Text PDFJ Occup Environ Med
February 2025
Seeing Machines, Fyshwick, ACT, Australia.
Objective: This study aims to evaluate the effectiveness of fatigue detection technology (FDT) cabin alarms in reducing fatigue events in rural truck drivers, assess the accuracy in detecting fatigue events alarms and examine whether drivers habituate to alarms over time.
Methods: Longitudinal naturalistic study of fatigue events before and after alarm activation.in 12 rural commercial trucks.
Cognition
March 2025
Department of Radiology, Washington University in St. Louis, St. Louis, MO 63110, USA. Electronic address:
Humans can rapidly memorize numerous images, which is surprising considering the limited visual sampling of each image. To enhance the probability of recognition, it is crucial to focus on previously sampled locations most likely to support memory. How does the visuomotor system achieve this? To study this, we analyzed the eye movements of a group of neurotypical observers while they performed a natural scene memorization task.
View Article and Find Full Text PDFHeliyon
February 2025
Earth Systems and Global Change Group, Wageningen University and Research, Droevendaalsesteeg 3, Wageningen, 6708 PB, the Netherlands.
Weather and Climate Information Services developed for agriculture often only provide scientific weather and climate forecasts on various timescales. Yet, local forecasts derived from indigenous knowledge and soil moisture information are still missing. In this study, we evaluate the implementation of the DROP app, a hydroclimate information service, offering both local (LF) and scientific rainfall forecasts (SF) and soil moisture forecasts, that was designed with and for smallholder farmers working on rainfed agriculture in northern Ghana.
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