Enhancing drug checking services for supply monitoring: perspectives on implementation in syringe service programs in the USA.

BACKGROUND: Shifts in the US drug supply, including the proliferation of synthetic opioids and emergence of xylazine, have contributed to the worsening toll of the overdose epidemic. Drug checking services offer a critical intervention to promote agency among people who use drugs (PWUD) to reduce overdose risk. Current drug checking methods can be enhanced to contribute to supply-level monitoring in the USA, overcoming the selection bias associated with existing supply monitoring efforts and informing public health interventions. METHODS: As a group of analytical chemists, public health researchers, evaluators, and harm reductionists, we used a semi-structured guide to facilitate discussion of four different approaches for syringe service programs (SSPs) to offer drug checking services for supply-level monitoring. Using thematic analysis, we identified four key principles that SSPs should consider when implementing drug checking programs. RESULTS: A number of analytical methods exist for drug checking to contribute to supply-level monitoring. While there is likely not a one-size-fits-all approach, SSPs should prioritize methods that can (1) provide immediate utility to PWUD, (2) integrate seamlessly into existing workflows, (3) balance individual- and population-level data needs, and (4) attend to legal concerns for implementation and dissemination. CONCLUSIONS: Enhancing drug checking methods for supply-level monitoring has the potential to detect emerging threats in the drug supply and reduce the toll of the worsening overdose epidemic.

Differential risks of syringe service program participants in Central Ohio: a latent class analysis.

BACKGROUND: Significant heterogeneity exists among people who use drugs (PWUD). We identify distinct profiles of syringe service program (SSP) clients to (a) evaluate differential risk factors across subgroups and (b) inform harm reduction programming. METHODS: Latent class analysis (LCA) was applied to identify subgroups of participants (N = 3418) in a SSP in Columbus, Ohio, from 2019 to 2021. Demographics (age, sex, race/ethnicity, sexual orientation, housing status) and drug use characteristics (substance[s] used, syringe gauge, needle length, using alone, mixing drugs, sharing supplies, reducing use, self-reported perceptions on the impact of use, and treatment/support resources) were used as indicators to define latent classes. A five-class LCA model was developed, and logistic regression was then employed to compare risk factors at program initiation and at follow-up visits between latent classes. RESULTS: Five latent classes were identified: (1) heterosexual males using opioids/stimulants with housing instability and limited resources for treatment/support (16.1%), (2) heterosexual individuals using opioids with stable housing and resources for treatment/support (33.1%), (3) individuals using methamphetamine (12.4%), (4) young white individuals using opioids/methamphetamine (20.5%), and (5) females using opioids/cocaine (17.9%). Class 2 served as the reference group for logistic regression models, and at the time of entry, class 1 was more likely to report history of substance use treatment, overdose, HCV, sharing supplies, and mixing drugs, with persistently higher odds of sharing supplies and mixing drugs at follow-up. Class 3 was more likely to report history of overdose, sharing supplies, and mixing drugs, but outcomes at follow-up were comparable. Class 4 was the least likely to report history of overdose, HCV, and mixing drugs, but the most likely to report HIV. Class 5 was more likely to report history of substance use treatment, overdose, HCV, sharing supplies, and mixing drugs at entry, and higher reports of accessing substance use treatment and testing positive for HCV persisted at follow-up. CONCLUSIONS: Considerable heterogeneity exists among PWUD, leading to differential risk factors that may persist throughout engagement in harm reduction services. LCA can identify distinct profiles of PWUD accessing services to tailor interventions that address risks, improve outcomes, and mitigate disparities.

Pool water quality and prevalence of microbes in filter backwash from metro-Atlanta swimming pools.

During the 2012 summer swim season, aquatic venue data and filter backwash samples were collected from 127 metro-Atlanta pools. Last-recorded water chemistry measures indicated 98% (157/161) of samples were from pools with ≥1 mg/L residual chlorine without stabilized chlorine or ≥2 mg/L with stabilized chlorine and 89% (144/161) had pH readings 7.2-7.8. These water quality parameters are consistent with the 2016 Model Aquatic Health Code (2nd edition) recommendations. We used previously validated real-time polymerase chain reaction assays for detection of seven enteric microbes, including Escherichia coli, and Pseudomonas aeruginosa. E. coli was detected in 58% (93/161) of samples, signifying that swimmers likely introduced fecal material into pool water. P. aeruginosa was detected in 59% (95/161) of samples, indicating contamination from swimmers or biofilm growth on surfaces. Cryptosporidium spp. and Giardia duodenalis were each detected in approximately 1% of samples. These findings indicate the need for aquatics staff, state and local environmental health practitioners, and swimmers to each take steps to minimize the risk of transmission of infectious pathogens.

Validating an algebraic approach to characterizing resonator networks.

Resonator networks are ubiquitous in natural and engineered systems, such as solid-state materials, electrical circuits, quantum processors, and even neural tissue. To understand and manipulate these networks it is essential to characterize their building blocks, which include the mechanical analogs of mass, elasticity, damping, and coupling of each resonator element. While these mechanical parameters are typically obtained from response spectra using least-squares fitting, this approach requires a priori knowledge of all parameters and is susceptible to large error due to convergence to local minima. Here we validate an alternative algebraic means to characterize resonator networks with no or minimal a priori knowledge. Our approach recasts the equations of motion of the network into a linear homogeneous algebraic equation and solves the equation with a set of discrete measured network response vectors. For validation, we employ our approach on noisy simulated data from a single resonator and a coupled resonator pair, and we characterize the accuracy of the recovered parameters using high-dimension factorial simulations. Generally, we find that the error is inversely proportional to the signal-to-noise ratio, that measurements at two frequencies are sufficient to recover all parameters, and that sampling near the resonant peaks is optimal. Our simple, powerful tool will enable future efforts to ascertain network properties and control resonator networks in diverse physical domains.

Coupled Nanomechanical Graphene Resonators: A Promising Platform for Scalable NEMS Networks.

Arrays of coupled nanoelectromechanical resonators are a promising foundation for implementing large-scale network applications, such as mechanical-based information processing and computing, but their practical realization remains an outstanding challenge. In this work, we demonstrate a scalable platform of suspended graphene resonators, such that neighboring resonators are persistently coupled mechanically. We provide evidence of strong coupling between neighboring resonators using two different tuning methods. Additionally, we provide evidence of inter-resonator coupling of higher-order modes, demonstrating the rich dynamics that can be accessed with this platform. Our results establish this platform as a viable option for realizing large-scale programmable networks, enabling applications such as phononic circuits, tunable waveguides, and reconfigurable metamaterials.

National trends in distribution of underrepresented minorities within United States general surgery residency programs: A longitudinal panel study.

BACKGROUND: Cultural affinity with a provider improves satisfactoriness of healthcare. We examined 2005-2019 trends in racial/ethnic diversity/inclusion within general surgery residency programs. METHODS: We triangulated 2005-2019 race/ethnicity data from Association of American Medical Colleges surveys of 4th-year medical students, the Electronic Residency Application Service, and Accreditation Council for Graduate Medical Education-affiliated general surgery residencies. Temporal trends in minority representation were tested for significance. RESULTS: Underrepresented racial/ethnic minorities in medicine (URiMs) increased among graduating MDs from 7.6% in 2005 to 11.8% in 2019 (p < 0.0001), as did their proportion among surgery residency applicants during 2005-2019 (p < 0.0001). However, proportions of URiMs among general surgery residents (≈8.5%), and of programs without URiMs (≈18.8%), stagnated. CONCLUSIONS: Growing URiM proportions among medical school graduates and surgery residency applicants did not improve URiM representation among surgery trainees nor shrink the percentage of programs without URiMs. Deeper research into motivators underlying URiMs' residency program preferences is warranted.

Pedunculated sigmoid lipoma causing colo-colonic intussusception.

This case report describes a 52-year-old man who presented with 2 weeks of left lower quadrant pain and bloody stool. Computed tomography revealed a 4 cm, fat-density mass acting as a lead point for intussusception of the sigmoid colon. Surgical resection was successfully performed, and histologic evaluation confirmed the diagnosis of a pedunculated colonic lipoma. Intussusception of the colon is uncommon in adults and is often associated with malignancy, but other nonmalignant causes such as a lipoma may also present similarly with obstructive symptoms, bloody stool, and/or intermittent abdominal pain. Colonic lipoma should be considered in the differential of a patient with clinical or imaging evidence of intussusception, with primary resection leading to an excellent prognosis.

An assessment of provider satisfaction with the use of a standardized visual aid for informed consent for appendectomy in children.

PURPOSE: We previously validated a visual aid for the use in the consent process for an appendectomy showing improved parental satisfaction and understanding. In this study, we evaluated provider satisfaction and perceived value of using the visual aid. METHODS: An IRB approved survey was developed assessing provider experience with use of the visual aid. This was distributed and analyzed via Research Electronic Data Capture (RedCap) Database. RESULTS: We administered 58 surveys (45% response rate). Participants included faculty (n = 2), fellows (n = 1), residents (n = 6), and physician assistants (n = 17). The visual aid was used >10 times by 50% of providers. The most common reason for not using the visual aid was not remembering it was available. Nearly half (40%) did not feel the visual aid added any time. 9/20 (45%) felt it added a small amount of time. Slightly over half of providers (52%) felt using the visual aid significantly increased family ability to give informed consent and made the consenting process easier for both providers and families. CONCLUSION: Using a visual aid in consenting families for appendectomy does not add significant time and subjectively improves the process for providers and increases provider perception of parental understanding. LEVEL OF EVIDENCE: Cost effectiveness, Level IV.

Single screen of citations with excluded terms: an approach to citation screening in systematic reviews.

Citation screening during the systematic review process can be time-consuming due to the exponentially increasing amount of research. This letter describes an approach to expediting the process by single screening citations that include terms in the abstract and/or keywords related to the exclusion criteria of the systematic review to quickly reject studies with a high likelihood of being excluded from the systematic review. This method can potentially improve the efficiency of the citation screening process while maintaining the quality of the systematic review; however, future research is needed to further validate this approach.

The use of ambulatory blood pressure monitoring to confirm a diagnosis of high blood pressure by primary-care physicians in Oregon.

BACKGROUND: Hypertension is the most commonly diagnosed medical condition in the USA. Unfortunately, patients are misdiagnosed in primary care because of inaccurate office-based blood pressure measurements. Several US healthcare organizations currently recommend confirming an office-based hypertension diagnosis with ambulatory blood pressure monitoring to avoid overtreatment; however, its use for the purpose of confirming an office-based hypertension diagnosis is relatively unknown. METHODS: This descriptive study surveyed 143 primary-care physicians in Oregon with regard to their current use of ambulatory blood pressure monitoring. RESULTS: Nineteen percent of the physicians reported that they would use ambulatory blood pressure monitoring to confirm an office-based hypertension diagnosis, although over half had never ordered it. The most frequent indication for ordering ambulatory blood pressure monitoring was to investigate suspected white-coat hypertension (37.3%). In addition, many of the practices did not own an ambulatory blood pressure monitoring device (79.7%) and, therefore, had to refer patients to other clinics or departments for testing. CONCLUSION: Many primary-care physicians will need to change their current clinical practice to align with the shift toward a confirmation process for office-based hypertension diagnoses to improve population health.

Humoral Dysregulation Associated with Increased Systemic Inflammation among Injection Heroin Users.

BACKGROUND: Injection drug use is a growing major public health concern. Injection drug users (IDUs) have a higher incidence of co-morbidities including HIV, Hepatitis, and other infections. An effective humoral response is critical for optimal homeostasis and protection from infection; however, the impact of injection heroin use on humoral immunity is poorly understood. We hypothesized that IDUs have altered B cell and antibody profiles. METHODS AND FINDINGS: A comprehensive systems biology-based cross-sectional assessment of 130 peripheral blood B cell flow cytometry- and plasma- based features was performed on HIV-/Hepatitis C-, active heroin IDUs who participated in a syringe exchange program (n = 19) and healthy control subjects (n = 19). The IDU group had substantial polydrug use, with 89% reporting cocaine injection within the preceding month. IDUs exhibited a significant, 2-fold increase in total B cells compared to healthy subjects, which was associated with increased activated B cell subsets. Although plasma total IgG titers were similar between groups, IDUs had significantly higher IgG3 and IgG4, suggestive of chronic B cell activation. Total IgM was also increased in IDUs, as well as HIV Envelope-specific IgM, suggestive of increased HIV exposure. IDUs exhibited numerous features suggestive of systemic inflammation, including significantly increased plasma sCD40L, TNF-α, TGF-α, IL-8, and ceramide metabolites. Machine learning multivariate analysis distilled a set of 10 features that classified samples based on group with absolute accuracy. CONCLUSIONS: These results demonstrate broad alterations in the steady-state humoral profile of IDUs that are associated with increased systemic inflammation. Such dysregulation may impact the ability of IDUs to generate optimal responses to vaccination and infection, or lead to increased risk for inflammation-related co-morbidities, and should be considered when developing immune-based interventions for this growing population.