Co-use of Opioid Medications and Alcohol Prevention Study (COAPS).

While there is limited research in the field regarding the various dimensions of co-use of alcohol and opioid medication, particularly related to co-use and levels of severity, our research has shown 20% to 30% of community pharmacy patients receiving opioid pain medications are engaged in co-use. Co-use of alcohol and opioid medications is a significant risk factor for opioid-related overdose. Community pharmacy is a valuable yet underutilized resource and setting for addressing the US opioid epidemic, with an untapped potential for identification of and intervention for risks associated with co-use of alcohol and opioids. This commentary describing the "Co-use of Opioid Medications and Alcohol Prevention Study (COAPS)" offers an innovative and promising approach to mitigating serious risks associated with co-use of alcohol (risk and non-risk use) and opioids in community pharmacy. COAPS aim 1involves adapting an existing opioid misuse intervention to target co-use of alcohol and opioid mediations. COAPS aim 2 involves testing the adapted intervention within a small-scale pilot randomized controlled trial (N = 40) to examine feasibility, acceptability and preliminary efficacy of the intervention versus standard care. COAPS aim 3 involves conducting key informant interviews related to future implementation of larger scale studies or service delivery in community pharmacy settings.

Diagnostic Accuracy of Noncontrast MR Angiography Protocols at 3T for the Detection and Characterization of Lower Extremity Peripheral Arterial Disease.

PURPOSE: To compare the diagnostic accuracy of established non-gadolinium (Gd)-enhanced magnetic resonance (MR) angiography protocols with Gd-enhanced MR angiography at 3T for evaluating lower extremity peripheral arterial disease (PAD). MATERIALS AND METHODS: From February 2014 to 2015, 20 patients with PAD and intermittent claudication (16 men; age range, 51-76 y; Fontaine stage II) underwent 3-station (abdominopelvic, thigh, and calf) non-Gd MR angiography and bolus-chase Gd MR angiography protocols performed at 3T (Siemens Tim Trio), including quiescent-interval single-shot (QISS) MR angiography for all 3 stations and a combination of quadruple inversion recovery (QIR) MR angiography for the abdominopelvic station and electrocardiogram-gated fast spin echo (ECG-FSE) MR angiography for the extremities. Two radiologists independently evaluated vessel segments for vascular stenosis, diagnosis confidence, graft presence, and Trans-Atlantic Inter-Society Consensus (TASC) II classification for each station. Diagnostic accuracies and κ agreement were assessed. RESULTS: Of 573 vascular segments imaged, 16.9% (97/573, 19/20 patients) demonstrated hemodynamically significant abnormalities. Reader confidence was sufficient for diagnosis in 98% of segments with Gd MR angiography, 93% with QIR/ECG-FSE, and 95% with QISS. Overall reader confidence was higher with QISS than QIR/ECG-FSE within all 3 stations combined (P < .05). With low-confidence segments treated as misdiagnosis, sensitivity, specificity, positive predictive value, negative predictive value, accuracy, and κ agreement for all 3 stations combined were 81.4/87.2/57.0/95.8/86.2%/0.578 for QIR/ECG-FSE and 75.0/90.6/61.6/94.7/88.0%/0.597 for QISS. Using TASC II criteria to assess severity, QISS and QIR/ECG-FSE had no statistical difference in agreement with Gd MR angiography. CONCLUSIONS: QISS and QIR/ECG-FSE MR angiography protocols demonstrate comparable diagnostic accuracies with high specificity. Either protocol provides an alternative to Gd MR angiography at 3T for patients with PAD.

T2* Measurement bias due to concomitant gradient fields.

PURPOSE: To demonstrate that concomitant magnetic fields can cause significant spatially dependent biases in T2* relaxometry measurements with implications for clinical applications such as BOLD and dynamic susceptibility contrast-enhanced MRI. THEORY AND METHODS: After developing a theoretical framework for intravoxel dephasing and signal loss from concomitant magnetic fields, this framework and the effect of concomitant fields on T2* are validated with phantom experiments and numerical simulation. In lower leg and renal T2* mapping, we quantify measurement bias for imaging protocols with high gradient amplitude multiecho readouts, comparable to those used in clinical applications. RESULTS: Concordance between phantom experiment and numerical simulation validate the theoretical framework. Changes in T2* measured in the lower leg and kidney varied by up to 15% and 35%, respectively, as a result of concomitant gradient effects when compared with the control measurements. CONCLUSION: Concomitant magnetic fields produced by imaging gradient coils can cause clinically significant T2* mapping errors when high amplitude, long duration gradient waveforms are used. While we have shown that measurement biases can be quite large, modification of imaging parameters can potentially reduce concomitant field-induced measurement errors to acceptable levels. Magn Reson Med 77:1562-1572, 2017. © 2016 International Society for Magnetic Resonance in Medicine.

Optimization of saturation-recovery dynamic contrast-enhanced MRI acquisition protocol: monte carlo simulation approach demonstrated with gadolinium MR renography.

Dynamic contrast-enhanced (DCE) MRI is widely used for the measurement of tissue perfusion and to assess organ function. MR renography, which is acquired using a DCE sequence, can measure renal perfusion, filtration and concentrating ability. Optimization of the DCE acquisition protocol is important for the minimization of the error propagation from the acquired signals to the estimated parameters, thus improving the precision of the parameters. Critical to the optimization of contrast-enhanced T1 -weighted protocols is the balance of the T1 -shortening effect across the range of gadolinium (Gd) contrast concentration in the tissue of interest. In this study, we demonstrate a Monte Carlo simulation approach for the optimization of DCE MRI, in which a saturation-recovery T1 -weighted gradient echo sequence is simulated and the impact of injected dose (D) and time delay (TD, for saturation recovery) is tested. The results show that high D and/or high TD cause saturation of the peak arterial signals and lead to an overestimation of renal plasma flow (RPF) and glomerular filtration rate (GFR). However, the use of low TD (e.g. 100 ms) and low D leads to similar errors in RPF and GFR, because of the Rician bias in the pre-contrast arterial signals. Our patient study including 22 human subjects compared TD values of 100 and 300 ms after the injection of 4 mL of Gd contrast for MR renography. At TD = 100 ms, we computed an RPF value of 157.2 ± 51.7 mL/min and a GFR of 33.3 ± 11.6 mL/min. These results were all significantly higher than the parameter estimates at TD = 300 ms: RPF = 143.4 ± 48.8 mL/min (p = 0.0006) and GFR = 30.2 ± 11.5 mL/min (p = 0.0015). In conclusion, appropriate optimization of the DCE MRI protocol using simulation can effectively improve the precision and, potentially, the accuracy of the measured parameters. Copyright © 2016 John Wiley & Sons, Ltd.

Performance of an efficient image-registration algorithm in processing MR renography data.

PURPOSE: To evaluate the performance of an edge-based registration technique in correcting for respiratory motion artifacts in magnetic resonance renographic (MRR) data and to examine the efficiency of a semiautomatic software package in processing renographic data from a cohort of clinical patients. MATERIALS AND METHODS: The developed software incorporates an image-registration algorithm based on the generalized Hough transform of edge maps. It was used to estimate glomerular filtration rate (GFR), renal plasma flow (RPF), and mean transit time (MTT) from 36 patients who underwent free-breathing MRR at 3T using saturation-recovery turbo-FLASH. The processing time required for each patient was recorded. Renal parameter estimates and model-fitting residues from the software were compared to those from a previously reported technique. Interreader variability in the software was quantified by the standard deviation of parameter estimates among three readers. GFR estimates from our software were also compared to a reference standard from nuclear medicine. RESULTS: The time taken to process one patient's data with the software averaged 12 ± 4 minutes. The applied image registration effectively reduced motion artifacts in dynamic images by providing renal tracer-retention curves with significantly smaller fitting residues (P < 0.01) than unregistered data or data registered by the previously reported technique. Interreader variability was less than 10% for all parameters. GFR estimates from the proposed method showed greater concordance with reference values (P < 0.05). CONCLUSION: These results suggest that the proposed software can process MRR data efficiently and accurately. Its incorporated registration technique based on the generalized Hough transform effectively reduces respiratory motion artifacts in free-breathing renographic acquisitions.

Patient navigation for pregnant individuals with opioid use disorder: Results of a randomized multi-site pilot trial.

BACKGROUND AND AIMS: Patient navigation (PN) may benefit pregnant individuals with opioid use disorder (OUD) by improving treatment adherence. We examined participant enrollment, session delivery and assessment feasibility for a PN intervention among pregnant participants and compared PN preliminary effectiveness for OUD treatment engagement with participants in usual care (UC). DESIGN: This study was a pilot single-blinded multi-site randomized trial. SETTING: Two academic medical centers in Pennsylvania (n = 57) and Utah (n = 45), United States participated. PARTICIPANTS: One hundred and two pregnant adult participants unestablished (fewer than 6 weeks) on medication for OUD (MOUD) were randomized to PN (n = 53) or UC (n = 49). INTERVENTION: PN was composed of 10 prenatal sessions (delivered after baseline but before the prenatal assessments) and four postnatal sessions (delivered before the 2- and 6-month postpartum assessments) focused upon OUD treatment and physical/mental health needs. UC involved brief case management. MEASUREMENTS: Feasibility assessments included consent, session delivery and assessment rates. Mixed-effect models for intent-to-treat (ITT) and per protocol (PP, received six or more sessions) populations were estimated to compare outcomes of MOUD use, secondary outcomes of substance use disorder (SUD) treatment attendance and non-prescribed opioid use, and exploratory outcome of overdose at baseline, predelivery and 2 and 6 months postpartum. FINDINGS: We consented 87% (106 of 122) of the proposed target, delivered ~60% of sessions delivered and completed ≥ 75% assessments. PN ITT and PP had better MOUD adherence, SUD treatment attendance, non-prescribed opioid use and overdose outcomes than UC. Notable changes included good evidence for greater percentage change in days for PN PP MOUD use from baseline to 2 months postpartum [PN = 28.0 versus UC = -10.9, 95% confidence interval (CI) = 9.7, 62.1] and some evidence for baseline to 6 months postpartum (PN = 45.4 versus UC = 23.4, 95% CI = -0.7, 48.2). PN PP percentage change in days for SUD treatment attendance also showed good evidence for improvements from baseline to prenatal assessment (PN = 7.4 versus UC = -21.3, 95% CI = 3.3, 53.5). PN compared to UC participants reported fewer overdoses at 2 months (PN = 11.9%/UC = 16.1%) and at 6 months postpartum (PN = 3.8%/UC = 6.2%). CONCLUSIONS: Patient navigation appears to be associated with improvements in opioid use disorder treatment engagement and overdoses during pregnancy. This pilot trial shows the feasibility of the intervention and a future large-scale trial.

Cluster analysis to identify patient profiles and substance use patterns among pregnant persons with opioid use disorder.

The study objective was to identify distinct profiles of pregnant persons with opioid use disorder (PP-OUD) using cluster analysis and examine difference in substance use patterns between profiles. We examined data from 104 PP-OUD ≤ 32 weeks of gestation who were recruited into a behavioral health clinical trial at two academic medical centers. We used Partitioning Around Medoids analysis to identify clusters and explored patterns of substance use and substance use treatment between clusters using bivariate statistical tests and regression methods. We identified two distinct clusters of participants, including 'Group A' (n = 68; 65.4 %) and 'Group B' (n = 36; 34.6 %). Group A had fewer members who were not employed (38 % vs 58 %) and incarcerated (3 % vs 8 %) compared to Group B. Group A compared with Group B included more members with: a history of overdose (72 % vs 50 %); anxiety (85 % vs 25 %); ≥moderate pain (76 % vs 22 %); ≥moderate depression (75 % vs 36 %); ≥moderate drug use severity (94 % vs 78 %); and, more days of cannabis (mean: 6.2 vs 2.3 days), stimulant (mean: 4.5 vs 1.3 days), and injection heroin (mean: 1.3 vs 0 days) use in the past 30 days (P < 0.05 for all comparisons). Clusters of PP-OUD differed with respect to sociodemographic characteristics, mental health conditions, and substance use patterns. More research is needed to confirm identified profiles and assess treatment outcomes associated with cluster membership.

Prospective acceptability of digital phenotyping among pregnant and parenting people with opioid use disorder: A multisite qualitative study.

Background: While medications for opioid use disorder (MOUD) effectively treat OUD during pregnancy and the postpartum period, poor treatment retention is common. Digital phenotyping, or passive sensing data captured from personal mobile devices, namely smartphones, provides an opportunity to understand behaviors, psychological states, and social influences contributing to perinatal MOUD non-retention. Given this novel area of investigation, we conducted a qualitative study to determine the acceptability of digital phenotyping among pregnant and parenting people with opioid use disorder (PPP-OUD). Methods: This study was guided by the Theoretical Framework of Acceptability (TFA). Within a clinical trial testing a behavioral health intervention for PPP-OUD, we used purposeful criterion sampling to recruit 11 participants who delivered a child in the past 12 months and received OUD treatment during pregnancy or the postpartum period. Data were collected through phone interviews using a structured interview guide based on four TFA constructs (affective attitude, burden, ethicality, self-efficacy). We used framework analysis to code, chart, and identify key patterns within the data. Results: Participants generally expressed positive attitudes about digital phenotyping and high self-efficacy and low anticipated burden to participate in studies that collect smartphone-based passive sensing data. Nonetheless, concerns were noted related to data privacy/security and sharing location information. Differences in participant assessments of burden were related to length of time required and level of remuneration to participate in a study. Interviewees voiced broad support for participating in a digital phenotyping study with known/trusted individuals but expressed concerns about third-party data sharing and government monitoring. Conclusion: Digital phenotyping methods were acceptable to PPP-OUD. Enhancements in acceptability include allowing participants to maintain control over which data are shared, limiting frequency of research contacts, aligning compensation with participant burden, and outlining data privacy/security protections on study materials.

Addressing opioid medication misuse at point of service in community pharmacy: A study protocol for an interdisciplinary behavioral health trial.

BACKGROUND: >1 in 3 of the 9 million individuals engaged in opioid medication misuse obtain legitimate opioid prescriptions and fill these in community pharmacies, which are subsequently misused. This study is testing the efficacy of a pharmacist-led intervention-Brief Intervention-Medication Therapy Management (BI-MTM)-compared to standard medication counseling (SMC) to address opioid medication misuse. METHODS: Design. This study is a single-blinded 2-group parallel randomized trial within 13 community pharmacies that will enroll 350 individuals. Participant Recruitment. Pharmacy staff approach patients and ask about interest in completing a brief confidential screening tool, which includes opioid medication misuse assessment. Interested patients who report misuse are asked to provide informed consent. Enrolled patients are assessed for behavioral and physical health at enrollment, 2-months post-enrollment, and 6-months post-enrollment. INTERVENTIONS: Following baseline assessment, participants are randomized (1:1 ratio) to: SMC, a medication information/counseling intervention or BI-MTM, an intervention comprised by 4 evidence-based components: medication therapy management, brief intervention, naloxone dispensing, and patient navigation. ANALYSES: Primary analyses involve estimating 3-level generalized linear mixed models to relate repeated assessments across time of opioid medication misuse (i.e., the Prescription Opioid Misuse Index) to the intervention. CONCLUSION: Study results will provide the first critical step towards integrating a highly accessible, low-cost approach to managing risks related to opioid use. Community pharmacies provide an incredibly important setting in which patients can receive high quality care to support health behavior change. Successfully completing this project sets the stage for a large-scale effectiveness study. (NCT#: NCT05141266).

Pregnancy and the Opioid Crisis: Heightened Effects of COVID-19.

The opioid epidemic continues to affect pregnant women with opioid use disorder adversely in unique and enduring ways. The onset of the coronavirus disease 2019 (COVID-19) pandemic and the necessary public health measures implemented to slow the transmission have increased barriers to care for these same women. This commentary explores the implications of these measures and discusses strategies we have developed to manage these challenges based on our work in a clinical trial providing patient navigation to pregnant mothers with OUD. We believe these solutions can be applied in medical, behavioral health, and research settings through the pandemic and beyond to increase the quality of care and resources to this vulnerable population.

Comparison of Performance of Improved Serum Estimators of Glomerular Filtration Rate (GFR) to 99mTc-DTPA GFR Methods in Patients with Hepatic Cirrhosis.

Glomerular filtration rate (GFR) measurements are critical in patients with hepatic cirrhosis but potentially erroneous when based on serum creatinine. New equations for estimated GFR (eGFR) have shown variable performance in cirrhotics, possibly because of inaccuracies in reference methods for measured GFR (mGFR). The primary objective was to compare the performance of 4 improved eGFR equations with a 1-compartment, 2-sample plasma slope intercept 99mTc-DTPA mGFR method to determine whether any of the eGFR calculations could replace plasma 99mTc-DTPA mGFR in patients with cirrhosis. The secondary objective was to test the hypothesis that mGFR using voluntary voided urine collections introduces error compared with plasma-only methods. Methods: Fifty-four patients with hepatic cirrhosis underwent mGFR determinations from 2 plasma samples at 1 and 3 h after intravenous administration of 185 MBq of 99mTc-DTPA. GFR was also generated by a UV/P calculation derived from blood and urine samples. These mGFRs were compared with the eGFRs generated by 4 estimating equations: MDRD (Modified Diet in Renal Disease), CKD-EPI (Chronic Kidney Disease-Epidemiology Collaboration) (serum creatinine [SCr]), CKD-EPI (cystatin [CysC]), and CKD-EPI (CysC+SCr). eGFRs were compared with mGFRs by Pearson correlation, precision, bias, percentage bias, and accuracy (eGFRs varying by <10% [p10], <20% [p20] or <30% [p30] from the corresponding mGFR). Results: All eGFRs showed poorer performance when the UV/P 99mTc-DTPA mGFR was used as the reference than when the plasma 99mTc-DTPA mGFR was used. When compared with the plasma 99mTc-DTPA mGFR method, the performance of all eGFR equations was superior to most published reports. There was a moderately good positive correlation between eGFRs and mGFRs. When compared with plasma 99mTc-DTPA mGFR, precision of eGFRs was in the range of 14-20 mL/min and showed a negligible bias. Compared with the plasma 99mTc-DTPA mGFR, CKD-EPI (CysC+SCr) showed the best overall performance and accuracy, at 85.19% (p30), 75.93% (p20), and 42.59% (p10). Conclusion: Estimating equations for measuring eGFR performed better than in most published reports, attributable to use of the plasma 99mTc-DTPA mGFR method as a reference. CKD-EPI (CysC+SCr) eGFR showed the best overall performance. However, more discriminating methods may be required when accurate GFR measurements are necessary. mGFR measurements using urine collections may introduce error compared with plasma-only methods.