Importance: Motor vehicle crashes (MVCs) are an important public health concern. Recent trends suggest that introducing rideshare services has decreased the incidence of MVCs. However, detailed analyses linking rideshare volume, convictions for impaired driving, and nonfatal MVC traumas remain inconclusive.
Objective: To determine if there is an association between rideshare use and MVC traumas and convictions for impaired driving in Houston, Texas.
Design, Setting, And Participants: This multicenter cohort study was conducted between January 2007 and November 2019 with hospital data from the Red Duke Trauma Institute within the Memorial Hermann Hospital-Texas Medical Center and Ben Taub General Hospital. Rideshare data from Uber and Google covered trips taken within Houston, Texas, from February 2014 (the date of deployment of Uber to Houston) to December 2018. Impaired driving convictions included all indictments made by the Harris County, Texas, District Attorney's office from January 2007 to December 2018. All adults with MVC traumas evaluated at both centers in the study population (individuals >16 years with a mechanism of injury classified under "motor vehicle collision") were included. Impaired driving incidents were included only if the final legal outcome was conviction.
Main Outcomes And Measures: The primary study outcomes were the incident rate ratios for hourly MVC traumas and daily impaired driving convictions.
Results: A total of 23 491 MVC traumas (involving patients with a mean [SD] age of 37.9 [17.8] years and 14 603 male individuals [62.1%]), 93 742 impaired driving convictions, and more than 24 million Uber rides were analyzed. Following the introduction of Uber in February 2014, MVC traumas decreased by 23.8% (from a mean [SD] of 0.26 [0.04] to 0.21 [0.06] trauma incidents per hour) during peak trauma periods (Friday and Saturday nights). The incident rate ratio of MVC traumas following Uber deployment was 0.33 (95% CI, 0.17-0.67) per 1000 indexed rides (P = .002). Furthermore, rideshare use was associated with a significant, geographically linked reduction in impaired driving convictions between January 2014 to December 2019 (incidence rate ratio, 0.76 [95% CI, 0.73-0.78]; P < .001).
Conclusions And Relevance: In this study, introducing rideshare services in the Houston metropolitan area was associated with significant reductions in MVC traumas and impaired driving convictions. Increased use of rideshares may be an effective means of reducing impaired driving and decreasing rate of MVC traumas.
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http://dx.doi.org/10.1001/jamasurg.2021.2227 | DOI Listing |
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The EGFR-driven angiogenesis is crucial in solid tumors, particularly through the delivery of biomolecules via extracellular vesicles (EVs), but the mechanism by which EGFR regulates EV cargo is still unclear. First, cell co-culture and murine tumor models were employed to examine the impact of EGFR overexpression on the pro-angiogenic properties of small EVs (sEVs) derived from oral squamous cell carcinoma (OSCC). Small RNA sequencing was then used to compare the miRNA profiles of OSCC-sEVs with and without EGFR overexpression, followed by functional enrichment and motif analyses of the differentially expressed miRNAs.
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Laboratory of Veterinary Infectious Disease, College of Veterinary of Medicine, Jeonbuk National University, Iksan, Jeonbuk, 54596, Republic of Korea.
Background: Akabane virus (AKAV) is an arthropod-borne virus that causes congenital malformations and neuropathology in cattle and sheep. In South Korea, AKAVs are classified into two main genogroups: K0505 and AKAV-7 strains. The K0505 strain infects pregnant cattle, leading to fetal abnormalities, while the AKAV-7 strain induces encephalomyelitis in post-natal cattle.
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Bio-Med Big Data Center, CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China.
Alzheimer's disease (AD) is a neurodegenerative disease with no effective treatment, often preceded by mild cognitive impairment (MCI). Multimodal imaging genetics integrates imaging and genetic data to gain a deeper understanding of disease progression and individual variations. This study focuses on exploring the mechanisms that drive the transition from normal cognition to MCI and ultimately to AD.
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