Introduction: The Diversion Alert Program (DAP) was established to curb the misuse of drugs and help identify people in need of substance use disorder (SUD) treatment. Law enforcement compiled arrest data into a database accessible by health care providers. The objectives of this investigation were to identify regional and demographic differences in drug use and misuse in Maine. Methods: All arrests (N=11,234) reported to the DAP from 2013 to 2018 were examined by county, arrestee demographics, and classified into families (opioids, stimulants, sedatives). The Automation of Reports and Consolidated Orders System (ARCOS) tracks the distribution of controlled pharmaceuticals (schedule I-V). Opioids were converted to oral morphine mg equivalents (MME). County and zip-code heat maps were constructed. Results: The counties with the most arrests per capita were Cumberland, Androscoggin, and Penobscot. Opioids were the most common drug class in arrests in all counties except Aroostook, where stimulants were most common. Medical distribution of opioids varied. With the exception of buprenorphine, which doubled, many prescription opioids like hydrocodone, fentanyl, and oxymorphone exhibited large (>50%) reductions. Methadone was the predominant opioid statewide (56.4% of the total MME) although there were sizeable differences (Presque Isle=8.6%, Bangor=78.9%) and this is likely impacted by use for SUD treatment. Amphetamine distribution increased by 67.9%. Conclusions: The DAP was useful to prevent information silos and enhance communication between law enforcement and health care providers. Maines DAP was a unique system to identify patients in need of additional treatment resources. The increase in prescription stimulants may warrant continued monitoring.
Objective: This study aims to identify the prevalence of osteoporosis (OP) by lumbar computed tomography (CT) Hounsfield units (HUs) in patients who have normal or osteopenic bone determined by dual-energy x-ray absorptiometry (DEXA).Summary of Background Data: OP is a critical issue in the postmenopausal and aging population. Bone mineral density assessment by DEXA has been described as insensitive for diagnosing OP in the lumbar spine. Improving the detection of OP can bring more patients to treatment and reduce the risks associated with low bone mineral density. Patients and Methods:We retrospectively reviewed all patients with DEXA scans and noncontrast CTs of the lumbar spine over a 15-year period. Patients were diagnosed as non-OP if they had a normal DEXA T-score ( ≥ −1) or osteopenic DEXA T-score (between −1.1 and −2.4). Patients in this cohort were considered osteoporotic by CT if L1-HU ≤ 110. Demographics and lumbar HUs were compared between these stratified groups.Results: A total of 74 patients were included for analysis. All patients were demographically, similar, and the average patient age was 70 years. The prevalence of OP determined by CT L1-HU ≤ 110 was 46% (normal DEXA: 9%, osteopenic DEXA: 63%). A significant number of males in our study were considered osteoporotic by L1-HU ≤ 110 (74%, P = 0.03). All individual axial and sagittal lumbar HU measurements including L1-L5 average lumbar HUs were statistically significant among non-OP and OP groups except for the lower lumbar levels (P > 0.05 for L4 axial HUs, and L4-L5 sagittal HUs). Conclusions:The prevalence of OP in patients with normal or osteopenic T-scores is high. Among those with osteopenia by DEXA, more than 50% may lack appropriate medical treatment. The DEXA scan may be particularly insensitive to male bone quality making the CT HU the diagnostic method of choice for detecting OP.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.