Implementation and perception of outpatient pharmacists prescribing hormonal contraceptives in North Carolina.

BACKGROUND: North Carolina (NC) House Bill 96, effective February 2022, enabled trained immunizing pharmacists across the state to prescribe hormonal contraceptives (HCs). However, the extent and barriers to deployment are unknown. The purpose of this study was to describe the uptake and challenges from outpatient pharmacists who trained to provide HCs in an outpatient practice to assist others in the implementation of this service. OBJECTIVES: The primary objective was to estimate the proportion of trained NC pharmacists who provided HCs in an outpatient setting. The secondary objective was to identify barriers during the implementation of this service. METHODS: This cross-sectional, anonymous, web-based survey was emailed on December 13, 2022, to NC-licensed pharmacists enrolled in the required training. A reminder email was sent on January 10, 2023, with all responses considered up to January 31, 2023. Pharmacists licensed in NC who performed at least 50% of their clinical practice in an outpatient setting were included. The primary endpoint was having prescribed HC (Y/N). All endpoints were analyzed using descriptive statistics. RESULTS: Of 1633 pharmacists eligible, 96 completed responses were included in the analysis (5.9%). Training was incomplete in 11 of 96 (11.5%), and 66 of 96 (68.8%) completed the training without implementing the service. Of the remaining 19 of 96 (19.8%) that developed a HC service, 15 of 96 (15.6%) had prescribed HCs. Among the 15 prescribing pharmacists, all reported positive patient feedback, while 7 reported improved job satisfaction. Among all 96 respondents, barriers reported included time constraints (49%) and a lack of appropriate reimbursement (43.8%). CONCLUSION: Few HC-trained NC outpatient pharmacists are prescribing HCs. Addressing prescribing barriers would potentially expand the scope of this service and further innovate the outpatient pharmacy setting.

Human prefrontal cortex gene regulatory dynamics from gestation to adulthood at single-cell resolution.

Human brain development is underpinned by cellular and molecular reconfigurations continuing into the third decade of life. To reveal cell dynamics orchestrating neural maturation, we profiled human prefrontal cortex gene expression and chromatin accessibility at single-cell resolution from gestation to adulthood. Integrative analyses define the dynamic trajectories of each cell type, revealing major gene expression reconfiguration at the prenatal-to-postnatal transition in all cell types followed by continuous reconfiguration into adulthood and identifying regulatory networks guiding cellular developmental programs, states, and functions. We uncover links between expression dynamics and developmental milestones, characterize the diverse timing of when cells acquire adult-like states, and identify molecular convergence from distinct developmental origins. We further reveal cellular dynamics and their regulators implicated in neurological disorders. Finally, using this reference, we benchmark cell identities and maturation states in organoid models. Together, this captures the dynamic regulatory landscape of human cortical development.

Evaluation of a Pharmacist-Managed Hypertension Clinic in a Rural Primary Care Setting.

OBJECTIVE: To describe clinical pharmacy services provided in a rural North Carolina primary care clinic and assess the impact of these services on systolic and diastolic blood pressures in patients with uncontrolled hypertension. METHODS: This single-center, retrospective study evaluated change in systolic and diastolic blood pressures from baseline, percentage of patients with blood pressure reductions, percentage at The Eight Joint National Committee (JNC 8) goal blood pressure, percentage at care gap closure defined as obtaining a blood pressure <140/90 mm Hg, and time to reach care gap closure. RESULTS: The mean change in systolic blood pressure was -20.1 mm Hg (14.716-25.418, P < .0001) and the mean change in diastolic blood pressure was -8.8 mm Hg (5.449-12.117, P < .0001). Eighty percent of patients experienced blood pressure reductions from baseline, 51% met their respective JNC 8 goal blood pressure, and 48% met care gap closure. The average time to reach care gap closure was 23 weeks. CONCLUSION: When embedded within a primary care clinic in a rural setting, a pharmacist-managed hypertension clinic significantly improved both systolic and diastolic blood pressures of patients with uncontrolled hypertension.

Succinate Produced by Intestinal Microbes Promotes Specification of Tuft Cells to Suppress Ileal Inflammation.

BACKGROUND & AIMS: Countries endemic for parasitic infestations have a lower incidence of Crohn's disease (CD) than nonendemic countries, and there have been anecdotal reports of the beneficial effects of helminths in CD patients. Tuft cells in the small intestine sense and direct the immune response against eukaryotic parasites. We investigated the activities of tuft cells in patients with CD and mouse models of intestinal inflammation. METHODS: We used microscopy to quantify tuft cells in intestinal specimens from patients with ileal CD (n = 19), healthy individuals (n = 14), and TNFΔARE/+ mice, which develop Crohn's-like ileitis. We performed single-cell RNA sequencing, mass spectrometry, and microbiome profiling of intestinal tissues from wild-type and Atoh1-knockout mice, which have expansion of tuft cells, to study interactions between microbes and tuft cell populations. We assessed microbe dependence of tuft cell populations using microbiome depletion, organoids, and microbe transplant experiments. We used multiplex imaging and cytokine assays to assess alterations in inflammatory response following expansion of tuft cells with succinate administration in TNFΔARE/+ and anti-CD3E CD mouse models. RESULTS: Inflamed ileal tissues from patients and mice had reduced numbers of tuft cells, compared with healthy individuals or wild-type mice. Expansion of tuft cells was associated with increased expression of genes that regulate the tricarboxylic acid cycle, which resulted from microbe production of the metabolite succinate. Experiments in which we manipulated the intestinal microbiota of mice revealed the existence of an ATOH1-independent population of tuft cells that was sensitive to metabolites produced by microbes. Administration of succinate to mice expanded tuft cells and reduced intestinal inflammation in TNFΔARE/+ mice and anti-CD3E-treated mice, increased GATA3+ cells and type 2 cytokines (IL22, IL25, IL13), and decreased RORGT+ cells and type 17 cytokines (IL23) in a tuft cell-dependent manner. CONCLUSIONS: We found that tuft cell expansion reduced chronic intestinal inflammation in mice. Strategies to expand tuft cells might be developed for treatment of CD.

Association of Total Medication Burden With Intensive and Standard Blood Pressure Control and Clinical Outcomes: A Secondary Analysis of SPRINT.

Total medication burden (antihypertensive and nonantihypertensive medications) may be associated with poor systolic blood pressure (SBP) control. We investigated the association of baseline medication burden and clinical outcomes and whether the effect of the SBP intervention varied according to baseline medication burden in SPRINT (Systolic Blood Pressure Intervention Trial). Participants were randomized to intensive or standard SBP goal (below 120 or 140 mm Hg, respectively); n=3769 participants with high baseline medication burden (≥5 medications) and n=5592 with low burden (<5 medications). PRIMARY OUTCOME: differences in SBP. SECONDARY OUTCOMES: 8-item Morisky Medication Adherence Scale and modified Treatment Satisfaction Questionnaire for Medications measured at baseline and 12 months and incident cardiovascular disease events and serious adverse events throughout the trial. Participants in the intensive group with high versus low medication burden were less likely to achieve their SBP goal at 12 months (risk ratio, 0.91; 95% CI, 0.85-0.97) but not in the standard group (risk ratio, 0.98; 95% CI, 0.93-1.03; Pinteraction<0.001). High medication burden was associated with increased cardiovascular disease events (hazard ratio, 1.39; 95% CI, 1.14-1.70) and serious adverse events (hazard ratio, 1.34; 95% CI, 1.24-1.45), but the effect of intensive versus standard treatment did not vary between medication burden groups (Pinteraction>0.5). Medication burden had minimal association with adherence or satisfaction. High baseline medication burden was associated with worse intensive SBP control and higher rates of cardiovascular disease events and serious adverse events. The relative benefits and risks of intensive SBP goals were similar regardless of medication burden. CLINICAL TRIAL REGISTRATION- URL: http://www. CLINICALTRIALS: gov. Unique identifier: NCT01206062.

Neurog3-Independent Methylation Is the Earliest Detectable Mark Distinguishing Pancreatic Progenitor Identity.

In the developing pancreas, transient Neurog3-expressing progenitors give rise to four major islet cell types: α, ß, δ, and γ; when and how the Neurog3+ cells choose cell fate is unknown. Using single-cell RNA-seq, trajectory analysis, and combinatorial lineage tracing, we showed here that the Neurog3+ cells co-expressing Myt1 (i.e., Myt1+Neurog3+) were biased toward ß cell fate, while those not simultaneously expressing Myt1 (Myt1-Neurog3+) favored α fate. Myt1 manipulation only marginally affected α versus ß cell specification, suggesting Myt1 as a marker but not determinant for islet-cell-type specification. The Myt1+Neurog3+ cells displayed higher Dnmt1 expression and enhancer methylation at Arx, an α-fate-promoting gene. Inhibiting Dnmts in pancreatic progenitors promoted α cell specification, while Dnmt1 overexpression or Arx enhancer hypermethylation favored ß cell production. Moreover, the pancreatic progenitors contained distinct Arx enhancer methylation states without transcriptionally definable sub-populations, a phenotype independent of Neurog3 activity. These data suggest that Neurog3-independent methylation on fate-determining gene enhancers specifies distinct endocrine-cell programs.

pyNVR: investigating factors affecting feature selection from scRNA-seq data for lineage reconstruction.

MOTIVATION: The emergence of single-cell RNA-sequencing has enabled analyses that leverage transitioning cell states to reconstruct pseudotemporal trajectories. Multidimensional data sparsity, zero inflation and technical variation necessitate the selection of high-quality features that feed downstream analyses. Despite the development of numerous algorithms for the unsupervised selection of biologically relevant features, their differential performance remains largely unaddressed. RESULTS: We implemented the neighborhood variance ratio (NVR) feature selection approach as a Python package with substantial improvements in performance. In comparing NVR with multiple unsupervised algorithms such as dpFeature, we observed striking differences in features selected. We present evidence that quantifiable dataset properties have observable and predictable effects on the performance of these algorithms. AVAILABILITY AND IMPLEMENTATION: pyNVR is freely available at https://github.com/KenLauLab/NVR. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Quantitative assessment of cell population diversity in single-cell landscapes.

Single-cell RNA sequencing (scRNA-seq) has become a powerful tool for the systematic investigation of cellular diversity. As a number of computational tools have been developed to identify and visualize cell populations within a single scRNA-seq dataset, there is a need for methods to quantitatively and statistically define proportional shifts in cell population structures across datasets, such as expansion or shrinkage or emergence or disappearance of cell populations. Here we present sc-UniFrac, a framework to statistically quantify compositional diversity in cell populations between single-cell transcriptome landscapes. sc-UniFrac enables sensitive and robust quantification in simulated and experimental datasets in terms of both population identity and quantity. We have demonstrated the utility of sc-UniFrac in multiple applications, including assessment of biological and technical replicates, classification of tissue phenotypes and regional specification, identification and definition of altered cell infiltrates in tumorigenesis, and benchmarking batch-correction tools. sc-UniFrac provides a framework for quantifying diversity or alterations in cell populations across conditions and has broad utility for gaining insight into tissue-level perturbations at the single-cell resolution.

Relationship between medication synchronization and antiretroviral adherence.

OBJECTIVES: To compare antiretroviral adherence (measured as the proportion of days covered [PDC]) and change in viral load in insured, HIV-infected, adult outpatients enrolled and not enrolled in a medication synchronization program. METHODS: This was a multicenter, retrospective, pilot cohort study. Fifty-eight insured, HIV-infected, outpatients at least 18 years of age receiving antiretroviral therapy (ART) for at least 3 months as of August 2015 were included. PDC, viral load, PDC dichotomized into adherent or nonadherent, and viral load dichotomized into detectable or undetectable were collected for each patient. Study data were compared in those with (enrolled) and without (not enrolled or control) medication synchronization. The study end points were analyzed between the 2 groups retrospectively after 3 months. RESULTS: PDC in patients undergoing medication synchronization was significantly higher than in control patients: mean ± SD 96 ± 9% versus 71 ± 27%, respectively (P < 0.0001). The medication synchronization group was also more likely to be adherent to ART than the control group (odds ratio 10.67, 95% confidence interval 2.63-43.31). In the medication synchronization group, 75.9% of patients had an undetectable baseline viral load, and 83.3% had an undetectable viral load at study completion. In the control group, 62.1% and 64.7% had an undetectable viral load at baseline and completion, respectively. No statistically significant change in viral load was observed between groups (P = 0.34). CONCLUSION: In insured, HIV-infected, adult outpatients, implementation of a medication synchronization program was associated with improved ART adherence. Future studies are needed to better assess the impact of medication synchronization on clinical outcomes.

Single-Cell Computational Strategies for Lineage Reconstruction in Tissue Systems.

Function at the organ level manifests itself from a heterogeneous collection of cell types. Cellular heterogeneity emerges from developmental processes by which multipotent progenitor cells make fate decisions and transition to specific cell types through intermediate cell states. Although genetic experimental strategies such as lineage tracing have provided insights into cell lineages, recent developments in single-cell technologies have greatly increased our ability to interrogate distinct cell types, as well as transitional cell states in tissue systems. From single-cell data that describe these intermediate cell states, computational tools have been developed to reconstruct cell-state transition trajectories that model cell developmental processes. These algorithms, although powerful, are still in their infancy, and attention must be paid to their strengths and weaknesses when they are used. Here, we review some of these tools, also referred to as pseudotemporal ordering algorithms, and their associated assumptions and caveats. We hope to provide a rational and generalizable workflow for single-cell trajectory analysis that is intuitive for experimental biologists.

Pharmacologic Treatment of Hypertensive Urgency in the Outpatient Setting: A Systematic Review.

BACKGROUND: Hypertensive urgency (HU), defined as acute severe uncontrolled hypertension without end-organ damage, is a common condition. Despite its association with long-term morbidity and mortality, guidance regarding immediate management is sparse. Our objective was to summarize the evidence examining the effects of antihypertensive medications to treat. METHODS: We searched the PubMed, Cochrane Central Register of Controlled Trials (CENTRAL), Database of Abstracts of Reviews of Effects (DARE), Cochrane Database of Systematic Reviews, Web of Science, Google Scholar, and Embase through May 2016. STUDY SELECTION: We evaluated prospective controlled clinical trials, case-control studies, and cohort studies of HU in emergency room (ER) or clinic settings. We initially identified 11,223 published articles. We reviewed 10,748 titles and abstracts and identified 538 eligible articles. We assessed the full text for eligibility and included 31 articles written in English that were clinical trials or cohort studies and provided blood pressure data within 48 h of treatment. Studies were appraised for risk of bias using components recommended by the Cochrane Collaboration. The main outcome measured was blood pressure change with antihypertensive medications. Since studies were too diverse both clinically and methodologically to combine in a meta-analysis, tabular data and a narrative synthesis of studies are presented. RESULTS: We identified only 20 double-blind randomized controlled trials and 12 cohort studies, with 262 participants in prospective controlled trials. However, we could not pool the results of studies. In addition, comorbidities and their potential contribution to long-term treatment of these subjects were not adequately addressed in any of the reviewed studies. CONCLUSIONS: Longitudinal studies are still needed to determine how best to lower blood pressure in patients with HU. Longer-term management of individuals who have experienced HU continues to be an area requiring further study, especially as applicable to care from the generalist.

Unsupervised Trajectory Analysis of Single-Cell RNA-Seq and Imaging Data Reveals Alternative Tuft Cell Origins in the Gut.

Modern single-cell technologies allow multiplexed sampling of cellular states within a tissue. However, computational tools that can infer developmental cell-state transitions reproducibly from such single-cell data are lacking. Here, we introduce p-Creode, an unsupervised algorithm that produces multi-branching graphs from single-cell data, compares graphs with differing topologies, and infers a statistically robust hierarchy of cell-state transitions that define developmental trajectories. We have applied p-Creode to mass cytometry, multiplex immunofluorescence, and single-cell RNA-seq data. As a test case, we validate cell-state-transition trajectories predicted by p-Creode for intestinal tuft cells, a rare, chemosensory cell type. We clarify that tuft cells are specified outside of the Atoh1-dependent secretory lineage in the small intestine. However, p-Creode also predicts, and we confirm, that tuft cells arise from an alternative, Atoh1-driven developmental program in the colon. These studies introduce p-Creode as a reliable method for analyzing large datasets that depict branching transition trajectories.

Effect of Intensive Versus Standard Blood Pressure Treatment According to Baseline Prediabetes Status: A Post Hoc Analysis of a Randomized Trial.

OBJECTIVE: To determine whether the effects of intensive (<120 mmHg) compared with standard (<140 mmHg) systolic blood pressure (SBP) treatment are different among those with prediabetes versus those with fasting normoglycemia at baseline in the Systolic Blood Pressure Intervention Trial (SPRINT). RESEARCH DESIGN AND METHODS: This was a post hoc analysis of SPRINT. SPRINT participants were categorized by prediabetes status, defined as baseline fasting serum glucose ≥100 mg/dL versus those with normoglycemia (fasting serum glucose <100 mg/dL). The primary outcome was a composite of myocardial infarction, acute coronary syndrome not resulting in myocardial infarction, stroke, acute decompensated heart failure, or death from cardiovascular causes. Cox regression was used to calculate hazard ratios for study outcomes with intensive compared with standard SBP treatment among those with prediabetes and normoglycemia. RESULTS: Among 9,361 participants randomized (age 67.9 ± 9.4 years; 35.5% female), 3,898 and 5,425 had baseline prediabetes and normoglycemia, respectively. After a median follow-up of 3.26 years, the hazard ratio for the primary outcome was 0.69 (95% CI 0.53, 0.89) and 0.83 (95% CI 0.66, 1.03) among those with prediabetes and normoglycemia, respectively (P value for interaction 0.30). For all-cause mortality, the hazard ratio with intensive SBP treatment was 0.77 (95% CI 0.55, 1.06) for prediabetes and 0.71 (95% CI 0.54, 0.94) for normoglycemia (P value for interaction 0.74). Effects of intensive versus standard SBP treatment on prespecified renal outcomes and serious adverse events were similar for prediabetes and normoglycemia (all interaction P > 0.05). CONCLUSIONS: In SPRINT, the beneficial effects of intensive SBP treatment were similar among those with prediabetes and fasting normoglycemia.

Impaired coordination between signaling pathways is revealed in human colorectal cancer using single-cell mass cytometry of archival tissue blocks.

Cellular heterogeneity poses a substantial challenge to understanding tissue-level phenotypes and confounds conventional bulk analyses. To analyze signaling at the single-cell level in human tissues, we applied mass cytometry using cytometry time of flight to formalin-fixed, paraffin-embedded (FFPE) normal and diseased intestinal specimens. This technique, called FFPE-DISSECT (disaggregation for intracellular signaling in single epithelial cells from tissue), is a single-cell approach to characterizing signaling states in embedded tissue samples. We applied FFPE-DISSECT coupled to mass cytometry and found differential signaling by tumor necrosis factor-α in intestinal enterocytes, goblet cells, and enteroendocrine cells, implicating the downstream RAS-RAF-MEK pathway in determining goblet cell identity. Application of this technique and computational analyses to human colon specimens confirmed the reduced differentiation in colorectal cancer (CRC) compared to normal colon and revealed increased intratissue and intertissue heterogeneity in CRC with quantitative changes in the regulation of signaling pathways. Specifically, coregulation of the kinases p38 and ERK, the translation regulator 4EBP1, and the transcription factor CREB in proliferating normal colon cells was lost in CRC. Our data suggest that this single-cell approach, applied in conjunction with genomic annotation, enables the rapid and detailed characterization of cellular heterogeneity from clinical repositories of embedded human tissues. This technique can be used to derive cellular landscapes from archived patient samples (beyond CRC) and as a high-resolution tool for disease characterization and subtyping.

Cytometry-based single-cell analysis of intact epithelial signaling reveals MAPK activation divergent from TNF-α-induced apoptosis in vivo.

Understanding heterogeneous cellular behaviors in a complex tissue requires the evaluation of signaling networks at single-cell resolution. However, probing signaling in epithelial tissues using cytometry-based single-cell analysis has been confounded by the necessity of single-cell dissociation, where disrupting cell-to-cell connections inherently perturbs native cell signaling states. Here, we demonstrate a novel strategy (Disaggregation for Intracellular Signaling in Single Epithelial Cells from Tissue-DISSECT) that preserves native signaling for Cytometry Time-of-Flight (CyTOF) and fluorescent flow cytometry applications. A 21-plex CyTOF analysis encompassing core signaling and cell-identity markers was performed on the small intestinal epithelium after systemic tumor necrosis factor-alpha (TNF-α) stimulation. Unsupervised and supervised analyses robustly selected signaling features that identify a unique subset of epithelial cells that are sensitized to TNF-α-induced apoptosis in the seemingly homogeneous enterocyte population. Specifically, p-ERK and apoptosis are divergently regulated in neighboring enterocytes within the epithelium, suggesting a mechanism of contact-dependent survival. Our novel single-cell approach can broadly be applied, using both CyTOF and multi-parameter flow cytometry, for investigating normal and diseased cell states in a wide range of epithelial tissues.

Dynamics and thermodynamic properties of CXCL7 chemokine.

Chemokines form a family of signaling proteins mainly responsible for directing the traffic of leukocytes, where their biological activity can be modulated by their oligomerization state. We characterize the dynamics and thermodynamic stability of monomer and homodimer structures of CXCL7, one of the most abundant platelet chemokines, using experimental methods that include circular dichroism (CD) and nuclear magnetic resonance (NMR) spectroscopy, and computational methods that include the anisotropic network model (ANM), molecular dynamics (MD) simulations and the distance constraint model (DCM). A consistent picture emerges for the effects of dimerization and Cys5-Cys31 and Cys7-Cys47 disulfide bonds formation. The presence of disulfide bonds is not critical for maintaining structural stability in the monomer or dimer, but the monomer is destabilized more than the dimer upon removal of disulfide bonds. Disulfide bonds play a key role in shaping the characteristics of native state dynamics. The combined analysis shows that upon dimerization flexibly correlated motions are induced between the 30s and 50s loop within each monomer and across the dimer interface. Interestingly, the greatest gain in flexibility upon dimerization occurs when both disulfide bonds are present, and the homodimer is least stable relative to its two monomers. These results suggest that the highly conserved disulfide bonds in chemokines facilitate a structural mechanism that is tuned to optimally distinguish functional characteristics between monomer and dimer.

Multiscale analysis of the murine intestine for modeling human diseases.

When functioning properly, the intestine is one of the key interfaces between the human body and its environment. It is responsible for extracting nutrients from our food and excreting our waste products. It provides an environment for a host of healthful microbes and serves as a first defense against pathogenic ones. These processes require tight homeostatic controls, which are provided by the interactions of a complex mix of epithelial, stromal, neural and immune cells, as well as the resident microflora. This homeostasis can be disrupted by invasive microbes, genetic lesions, and carcinogens, resulting in diseases such Clostridium difficile infection, inflammatory bowel disease (IBD) and cancer. Enormous strides have been made in understanding how this important organ functions in health and disease using everything from cell culture systems to animal models to human tissue samples. This has resulted in better therapies for all of these diseases, but there is still significant room for improvement. In the United States alone, 14,000 people per year die of C. difficile, up to 1.6 million people suffer from IBD, and more than 50,000 people die every year from colon cancer. Because these and other intestinal diseases arise from complex interactions between the different components of the gut ecosystem, we propose that systems approaches that address this complexity in an integrative manner may eventually lead to improved therapeutics that deliver lasting cures. This review will discuss the use of systems biology for studying intestinal diseases in vivo with particular emphasis on mouse models. Additionally, it will focus on established experimental techniques that have been used to drive this systems-level analysis, and emerging techniques that will push this field forward in the future.

Prevalence of self-reported nonmedical use of prescription stimulants in North Carolina Doctor of Pharmacy students.

OBJECTIVES: To evaluate the prevalence, associated factors, and opinions regarding nonmedical use of prescription stimulants (NMUPS) in Doctor of Pharmacy (PharmD) students. METHODS: An electronic survey was distributed to professional year 1 through 4 for students at 2 schools of pharmacy (public and private) in North Carolina. The survey was available for 3 weeks. Descriptive statistics (proportion of responders plus 95% confidence intervals [CIs]) were used to describe the primary objective. RESULTS: Of the 1043 surveys distributed, 407 were completed giving a 39% response rate. The results indicated that 9% (95% CI: 6.44-11.93) of PharmD students acknowledge NMUPS at least once during their pharmacy education. Additionally, 3% (95% CI: 1.90-5.45) acknowledge NMUPS at least once during the current pharmacy school year (past 5 months). Nonmedical prescription stimulant users were 9 times more likely to participate in NMUPS prior to pharmacy school (P < .0001) and 4.5 times more likely to use other illicit substances (P = .0076). CONCLUSION: The study identified the PharmD student population as high risk of abuse of prescription drug stimulants, which requires further research and attention. Additionally, there was a clear upward trend in the prevalence of NMUPS, and this misuse was associated with other detrimental behaviors.

Comparing point-of-care A1C and random plasma glucose for screening diabetes in migrant farm workers.

OBJECTIVE: To compare point-of-care (POC) glycosylated hemoglobin (A1C) and random plasma glucose (RPG) as a POC screening tool for prediabetes and diabetes in migrant farm workers of eastern North Carolina. DESIGN: Prospective, observational, single-center study. SETTING: Federally qualified community health center in eastern North Carolina, from August to October 2011. PARTICIPANTS: Migrant farm workers 18 years or older who resided in a migrant camp in eastern North Carolina. INTERVENTION: Diabetes screening using POC A1C and RPG via fingerstick followed by venipuncture A1C and basic metabolic panel in individuals with a positive screening. MAIN OUTCOME MEASURES: Positive predictive value (PPV) of POC A1C and RPG, incidence of positive screening, incidence of confirmed diagnosis, concordance rate of the screening tools, and correlation between POC A1C and laboratory A1C. RESULTS: 206 workers participated in the screenings; screening identified 39 individuals with a POC A1C greater than 5.7% and 1 individual with both an RPG of 200 mg/dL or more and a POC A1C greater than 5.7%. Of the 39 individuals found to have a positive screening, 24 presented to Carolina Family Health Centers, Inc., for follow-up venipuncture; however, 1 participant did not have a venipuncture A1C, leaving 23 individuals with complete data. Two participants were diagnosed with diabetes and 17 with prediabetes. POC A1C had a PPV of 82.6%; however, the PPV of RPG could not be calculated due to the number of participants lost to follow-up. POC A1C correlated well with laboratory A1C regardless of time to follow-up. CONCLUSION: POC A1C should be considered for diabetes screening in high-risk populations. If the screening had been performed with RPG alone, 38 individuals would have gone undetected. Early identification of individuals with elevated blood glucose will likely decrease the risk of long-term complications.