Perspectives of Healthcare Professionals on Clinician-Patient Communication of Cardiovascular Disease Risk.

When the consultation is predominantly verbal, existing research in clinician-patient communication indicates that many patients struggle to understand and recall medical consultations or may not understand the extent of their illness or the purpose of their treatment plan. When the clinician-patient discussion centers around the risk of a repeated cardiovascular disease (CVD) related event, qualitatively assessing what factors affect the communication of this risk may guide the creation of effective communication solutions. Semi-structured interviews were conducted with 17 clinicians treating patients at stages along the cardiac rehabilitation patients' journey. Thematic analysis identified factors that prevent patients from understanding the risk they face of experiencing a repeated cardiac event. Results indicate a clearer understanding of the cardiac rehabilitation patient journey by means of a patient journey map; an overview of how CVD risk is currently communicated; and the factors that affect communication of these risks in the form of themes and sub-themes. Findings shape the proposal of an evidence informed model of opportunities for enhanced digital media supported communication in cardiac rehabilitation.

Measuring volume fractions of a three-phase flow without separation utilizing an approach based on artificial intelligence and capacitive sensors.

Many different kind of fluids in a wide variety of industries exist, such as two-phase and three-phase. Various combinations of them can be expected and gas-oil-water is one of the most common flows. Measuring the volume fraction of phases without separation is vital in many aspects, one of which is financial issues. Many methods are utilized to ascertain the volumetric proportion of each phase. Sensors based on measuring capacity are so popular because this kind of sensor operates seamlessly and autonomously without necessitating any form of segregation or disruption for measuring in the process. Besides, at the present moment, Artificial intelligence (AI) can be nominated as the most useful tool in several fields, and metering is no exception. Also, three main type of regimes can be found which are annular, stratified, and homogeneous. In this paper, volume fractions in a gas-oil-water three-phase homogeneous regime are measured. To accomplish this objective, an Artificial Neural Network (ANN) and a capacitance-based sensor are utilized. To train the presented network, an optimized sensor was implemented in the COMSOL Multiphysics software and after doing a lot of simulations, 231 different data are produced. Among all obtained results, 70 percent of them (161 data) are awarded to the train data, and the rest of them (70 data) are considered for the test data. This investigation proposes a new intelligent metering system based on the Multilayer Perceptron network (MLP) that can estimate a three-phase water-oil-gas fluid's water volume fraction precisely with a very low error. The obtained Mean Absolute Error (MAE) is equal to 1.66. This dedicates the presented predicting method's considerable accuracy. Moreover, this study was confined to homogeneous regime and cannot measure void fractions of other fluid types and this can be considered for future works. Besides, temperature and pressure changes which highly temper relative permittivity and density of the liquid inside the pipe can be considered for another future idea.

Frequency of periprocedural myocardial injury and infarction stratified by cardiac troponin I and cardiac troponin T.

BACKGROUND: There are different definitions of periprocedural myocardial infarction (PPMI) both in terms of thresholds for cardiac biomarkers and the ancillary criteria for myocardial ischemia. Cardiac Troponin I (cTnI) and cardiac Troponin T (cTnT) are used interchangeably to diagnose PPMI. OBJECTIVES: This study evaluated the frequency of periprocedural myocardial injury and infarction as defined by the Society of Cardiovascular Angiography & Interventions (SCAI), the Academic Research Consortium-2 (ARC-2), and the 4th Universal definition of MI (4UDMI) stratified using cTnT versus cTnI, among patients with chronic coronary syndrome (CCS) and unstable angina. RESULTS: Among 830 patients, PPMI rates according to the SCAI, ARC2 and 4UDMI criteria were 4.34 %, 2.05 %, and 4.94 % respectively, with higher rates seen for all definitions when using cTnI versus cTnT (SCAI: 9.84 % vs. 1.91 %, p < 0.001; ARC 2: 3.15 % vs. 1.56 %, p = 0.136; and 4UDMI 5.91 % vs. 4.51 %, p = 0.391). Minor and major periprocedural myocardial injury was respectively observed in 58.31 % and 27.10 % of patients, with rates of both significantly higher when using cTnI versus cTnT (Minor: 69.29 % vs. 53.47 %, p < 0.001, Major: 49.21 % vs. 17.36 %, p < 0.001). CONCLUSIONS: Among patients with CCS and unstable angina, PPMIs defined by SCAI occurred more frequently when using cTnI as opposed to cTnT, whereas the type of troponin had no impact on the incidence of PPMIs according to the ARC-2 and 4UDMI.

Agricultural education in Africa using YouTube multilingual animations: A retrospective feasibility study assessing costs to reach language-diverse populations.

There is a critical need for widespread information dissemination of agricultural best practices in Africa. Literacy, language and resource barriers often impede such information dissemination. Culturally and linguistically localized, computer-animated training videos placed on YouTube and promoted through paid advertising is a potential tool to help overcome these barriers. The goal of this study is to assess the feasibility of reaching language-diverse populations in Africa using this new type of information dissemination channel. As a case study, cost estimates were obtained for YouTube ad campaigns of a video to prevent post-harvest loss through safe food storage using sanitized jerrycan containers. Seventy-three video variants were created for the most common 16 languages in Ghana, 35 languages in Kenya, and 22 languages in Nigeria. Using these videos, campaigns were deployed country wide or focused on zones of influence that represent economically underdeveloped regions known to produce beans suitable for jerrycan storage. Using data collected from YouTube ad campaigns, language-specific models were created for each country to estimate how many viewers could be reached per US dollar spent. Separate models were created to estimate the number of viewers who watched 25% and 75% of the video (most of video without end credits), reflecting different levels of engagement. For language campaigns with both country wide and zone of influence areas of deployment, separate region-specific models were created. Models showed that the estimated number of viewers per dollar spent varied considerably amongst countries and languages. On average, the expected number of viewers per dollar spent were 1.8 (Range = 0.2-7.3) for 25% watched and 0.8 (Range = 0.1-3.2) for 75% watched in Ghana, 1.2 (0.2-4.8) for 25% watched and 0.5 (Range = 0.1-2.0) for 75% watched in Kenya, and 0.4 (Range = 0.2-1.3) for 25% watched and 0.2 (Range = 0.1-0.5) for 75% watched in Nigeria. English versions of the video were the most cost-effective in reaching viewers in Ghana and Nigeria. In Kenya, English language campaigns ranked 28 (country wide) and 36 (zones of influence) out of 37 analyzed campaigns. Results also showed that many local language campaigns performed well, opening the possibility that targeted knowledge dissemination on topics of importance to local populations, is potentially cost effective. In addition, such targeted information dissemination appears feasible, even during regional and global crises when in-person training may not be possible. In summary, leveraging multilingual computer-animations and digital platforms such as YouTube shows promise for conducting large-scale agricultural education campaigns. The findings of the current study provides the justification to pursue a more rigorous prospective study to verify the efficacy of knowledge exchange and societal impact through this form of information dissemination channel.

Immune checkpoint therapy responders display early clonal expansion of tumor infiltrating lymphocytes.

Immune checkpoint therapy (ICT) causes durable tumour responses in a subgroup of patients, but it is not well known how T cell receptor beta (TCRß) repertoire dynamics contribute to the therapeutic response. Using murine models that exclude variation in host genetics, environmental factors and tumour mutation burden, limiting variation between animals to naturally diverse TCRß repertoires, we applied TCRseq, single cell RNAseq and flow cytometry to study TCRß repertoire dynamics in ICT responders and non-responders. Increased oligoclonal expansion of TCRß clonotypes was observed in responding tumours. Machine learning identified TCRß CDR3 signatures unique to each tumour model, and signatures associated with ICT response at various timepoints before or during ICT. Clonally expanded CD8+ T cells in responding tumours post ICT displayed effector T cell gene signatures and phenotype. An early burst of clonal expansion during ICT is associated with response, and we report unique dynamics in TCRß signatures associated with ICT response.

Comparing anti-tumor and anti-self immunity in a patient with melanoma receiving immune checkpoint blockade.

BACKGROUND: Tumor regression following immune checkpoint blockade (ICB) is often associated with immune-related adverse events (irAEs), marked by inflammation in non-cancerous tissues. This study was undertaken to investigate the functional relationship between anti-tumor and anti-self immunity, to facilitate irAE management while promoting anti-tumor immunity. METHODS: Multiple biopsies from tumor and inflamed tissues were collected from a patient with melanoma experiencing both tumor regression and irAEs on ICB, who underwent rapid autopsy. Immune cells infiltrating melanoma lesions and inflamed normal tissues were subjected to gene expression profiling with multiplex qRT-PCR for 122 candidate genes. Subsequently, immunohistochemistry was conducted to assess the expression of 14 candidate markers of immune cell subsets and checkpoints. TCR-beta sequencing was used to explore T cell clonal repertoires across specimens. RESULTS: While genes involved in MHC I/II antigen presentation, IFN signaling, innate immunity and immunosuppression were abundantly expressed across specimens, irAE tissues over-expressed certain genes associated with immunosuppression (CSF1R, IL10RA, IL27/EBI3, FOXP3, KLRG1, SOCS1, TGFB1), including those in the COX-2/PGE2 pathway (IL1B, PTGER1/EP1 and PTGER4/EP4). Immunohistochemistry revealed similar proportions of immunosuppressive cell subsets and checkpoint molecules across samples. TCRseq did not indicate common TCR repertoires across tumor and inflammation sites, arguing against shared antigen recognition between anti-tumor and anti-self immunity in this patient. CONCLUSIONS: This comprehensive study of a single patient with melanoma experiencing both tumor regression and irAEs on ICB explores the immune landscape across these tissues, revealing similarities between anti-tumor and anti-self immunity. Further, it highlights expression of the COX-2/PGE2 pathway, which is known to be immunosuppressive and potentially mediates ICB resistance. Ongoing clinical trials of COX-2/PGE2 pathway inhibitors targeting the major COX-2 inducer IL-1B, COX-2 itself, or the PGE2 receptors EP2 and EP4 present new opportunities to promote anti-tumor activity, but may also have the potential to enhance the severity of ICB-induced irAEs.

Affinity Purification of Membrane ß-Barrel Proteins via Biotin-Tagged Peptidiscs.

ß-barrel membrane proteins play a crucial role in bacterial pathogenesis and antibiotic resistance, making them a prime focus for the development of new antibiotics and therapeutics. However, their inherent hydrophobic nature and limited presence pose challenges for their high-throughput characterization using conventional methods. In this context, we present a simple but efficacious approach using peptidisc, a membrane mimetic, to overcome the low abundance and hydrophobicity of these proteins. Our methodology, illustrated here using Escherichia coli (E. coli) as a model organism, covers the entire process from outer membrane fraction preparation to data analysis. This detailed protocol outlines the purification of a diverse collection of ß-barrel membrane proteins, rendering them water-soluble and readily amenable to mass spectrometry and downstream drug screening strategies.

Mobile health technologies to improve walking distance in people with intermittent claudication.

BACKGROUND: Peripheral arterial disease (PAD) is the obstruction or narrowing of the large arteries of the lower limbs, which can result in impaired oxygen supply to the muscle and other tissues during exercise, or even at rest in more severe cases. PAD is classified into five categories (Fontaine classification). It may be asymptomatic or various levels of claudication pain may be present; at a later stage, there may be ulceration or gangrene of the limb, with amputation occasionally being required. About 20% of people with PAD suffer from intermittent claudication (IC), which is muscular discomfort in the lower extremities induced by exertion and relieved by rest within 10 minutes; IC causes restriction of movement in daily life. Treatment for people with IC involves addressing lifestyle risk factors. Exercise is an important part of treatment, but supervised exercise programmes for individuals with IC have low engagement levels and high attrition rates. The use of mobile technologies has been suggested as a new way to engage people with IC in walking exercise interventions. The novelty of the intervention, low cost for the user, automation, and ease of access are some of the advantages mobile health (mhealth) technologies provide that give them the potential to be effective in boosting physical activity in adults. OBJECTIVES: To assess the benefits and harms of mobile health (mhealth) technologies to improve walking distance in people with intermittent claudication. SEARCH METHODS: The Cochrane Vascular Information Specialist conducted systematic searches of the Cochrane Vascular Specialised Register, the Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE, Embase, and CINAHL, and also searched the World Health Organization International Clinical Trials Registry Platform (WHO ICTRP) and ClinicalTrials.gov. The most recent searches were carried out on 19 December 2022. SELECTION CRITERIA: We included randomised controlled trials (RCTs) in people aged 18 years or over with symptomatic PAD and a clinical diagnosis of IC. We included RCTs comparing mhealth interventions to improve walking distance versus usual care (no intervention or non-exercise advice), exercise advice, or supervised exercise programmes. We excluded people with chronic limb-threatening ischaemia (Fontaine III and IV). DATA COLLECTION AND ANALYSIS: We used standard Cochrane methods. Our primary outcomes were change in absolute walking distance from baseline, change in claudication distance from baseline, amputation-free survival, revascularisation-free survival. Our secondary outcomes were major adverse cardiovascular events, major adverse limb events, above-ankle amputation, quality of life, and adverse events. We used GRADE to assess the certainty of the evidence. MAIN RESULTS: We included four RCTs involving a total of 614 participants with a clinical diagnosis of IC. The duration of intervention of the four included RCTs ranged from 3 to 12 months. Participants were randomised to either mhealth or control (usual care or supervised exercise programme). All four studies had an unclear or high risk of bias in one or several domains. The most prevalent risk of bias was in the area of performance bias, which was rated high risk as it is not possible to blind participants and personnel in this type of trial. Based on GRADE criteria, we downgraded the certainty of the evidence to low, due to concerns about risk of bias, imprecision, and clinical inconsistency. Comparing mhealth with usual care, there was no clear evidence of an effect on absolute walking distance (mean difference 9.99 metres, 95% confidence interval (CI) -27.96 to 47.93; 2 studies, 503 participants; low-certainty evidence). None of the included studies reported on change in claudication walking distance, amputation-free survival, or revascularisation-free survival. Only one study reported on major adverse cardiovascular events (MACE) and found no clear difference between groups (risk ratio 1.37, 95% CI 0.07 to 28.17; 1 study, 305 participants; low-certainty evidence). None of the included studies reported on major adverse limb events (MALE) or above-ankle amputations. AUTHORS' CONCLUSIONS: Mobile health technologies can be used to provide lifestyle interventions for people with chronic conditions, such as IC. We identified a limited number of studies that met our inclusion criteria. We found no clear difference between mhealth and usual care in improving absolute walking distance in people with IC; however, we judged the evidence to be low certainty. Larger, well-designed RCTs are needed to provide adequate statistical power to reliably evaluate the effects of mhealth technologies on walking distance in people with IC.

Characterization of membrane protein interactions by peptidisc-mediated mass photometry.

Membrane proteins perform numerous critical functions in the cell, making many of them primary drug targets. However, their preference for a lipid environment makes them challenging to study using established solution-based methods. Here, we show that peptidiscs, a recently developed membrane mimetic, provide an ideal platform to study membrane proteins and their interactions with mass photometry (MP) in detergent-free conditions. The mass resolution for membrane protein complexes is similar to that achievable with soluble proteins owing to the low carrier heterogeneity. Using the ABC transporter BtuCD, we show that MP can quantify interactions between peptidisc-reconstituted membrane protein receptors and their soluble protein binding partners. Using the BAM complex, we further show that MP reveals interactions between a membrane protein receptor and a bactericidal antibody. Our results highlight the utility of peptidiscs for membrane protein characterization in detergent-free solution and provide a rapid and powerful platform for quantifying membrane protein interactions.

Long-term aspirin adherence following myocardial infarction and risk of cardiovascular events.

BACKGROUND AND AIMS: Aspirin is considered mandatory after myocardial infarction (MI). However, its long-term efficacy has been questioned. This study investigated the effectiveness of long-term aspirin after MI. METHODS: Patients ≥ 40 years with MI from 2004-2017 who were adherent to aspirin one year after MI were included from Danish nationwide registries. At 2, 4, 6, and 8 years after MI, continued adherence to aspirin was evaluated. Absolute and relative risks of MI, stroke, or death at 2 years from each timepoint were calculated using multivariable logistic regression analysis with average treatment effect modeling standardized for age, sex, and comorbidities. Subgroup analyses were stratified by sex and age > and ≤ 65 years. RESULTS: Among 40 114 individuals included, the risk of the composite endpoint was significantly higher for nonadherent patients at all timepoints. The absolute risk was highest at 2-4 years after MI for both adherent (8.34%, 95% confidence interval [CI]: 8.05-8.64%) and nonadherent patients (10.72%, 95% CI: 9.78-11.66%). The relative risk associated with nonadherence decreased from 4 years after index-MI and onwards: 1.41 (95% CI: 1.27-1.55) at 4-6 years and 1.21 (95% CI: 1.06-1.36) at 8-10 years (Ptrend = 0.056). Aspirin nonadherence in women and individuals > 65 years was not associated with increased risk. Pinteraction at each of the timepoints: Age-<0.001, <0.001, 0.002, 0.51; Sex - 0.25, 0.02, 0.02, 0.82. CONCLUSION: Nonadherence to long-term aspirin was associated with increased risk of MI, stroke, or death, but not in women or individuals > 65 years. The risk decreased from 4 years after MI with near statistical significance.

Investigation of Two Preliminary Analysis-Altering Elements: Ordinate Scaling and DPPXYR.

The purpose of this pre-registered study (Peltier & McKenna) was to conceptually replicate if the truncation of the ordinate and DPPXYR increased analysts' estimation of a functional relation and magnitude of treatment effect. Visual analysts (n = 27) evaluated eight data sets reporting null (n = 2), small (n = 2), moderate (n = 2), and large (n = 2) effects. Each data set was graphed six times with manipulations of the ordinate and DPPXYR, resulting in 48 ABAB graphs. We estimated two separate three-level mixed effect models with variations nested in datasets and nested in participants to evaluate the impact of graph characteristics for (1) confidence in determining a functional relation and (2) the estimated magnitude of the treatment effect. We included ordinate scaling and DPPXYR at level 1 and graph effect size at level 2, including all interactions. Overall, graph manipulation consistently did not impact confidence in a functional relation. Results suggest mixed findings for graph manipulation on the estimated magnitude of the treatment effect. Findings will be couched in current literature and recommendations for graph construction and future research will be discussed.

Flexible switch matrix addressable electrode arrays with organic electrochemical transistor and pn diode technology.

Due to their effective ionic-to-electronic signal conversion and mechanical flexibility, organic neural implants hold considerable promise for biocompatible neural interfaces. Current approaches are, however, primarily limited to passive electrodes due to a lack of circuit components to realize complex active circuits at the front-end. Here, we introduce a p-n organic electrochemical diode using complementary p- and n-type conducting polymer films embedded in a 15-µm -diameter vertical stack. Leveraging the efficient motion of encapsulated cations inside this polymer stack and the opposite doping mechanisms of the constituent polymers, we demonstrate high current rectification ratios ([Formula: see text]) and fast switching speeds (230 µs). We integrate p-n organic electrochemical diodes with organic electrochemical transistors in the front-end pixel of a recording array. This configuration facilitates the access of organic electrochemical transistor output currents within a large network operating in the same electrolyte, while minimizing crosstalk from neighboring elements due to minimized reverse-biased leakage. Furthermore, we use these devices to fabricate time-division-multiplexed amplifier arrays. Lastly, we show that, when fabricated in a shank format, this technology enables the multiplexing of amplified local field potentials directly in the active recording pixel (26-µm diameter) in a minimally invasive form factor with shank cross-sectional dimensions of only 50×8 [Formula: see text].

Unusual presentation of disseminated cryptococcal infection complicated by myocarditis in a heart transplant recipient.

BACKGROUND: Cryptococcus neoformans is the third most common cause of invasive fungal infection in solid organ transplant (SOT) recipients. While cryptococcal infection can involve any organ, cases of myocarditis are exceedingly rare. METHODS: A retrospective chart review was completed for this case report. RESULTS: We present the case of a 21-year-old heart transplant recipient who developed disseminated cryptococcal infection with biopsy-proven cryptococcal myocarditis. CONCLUSIONS: Cryptococcal disease in SOT recipients poses diagnostic and therapeutic challenges. There are no current guidelines for the duration of cryptococcal myocarditis treatment. Repeat myocardial biopsy may play a role in guiding length of therapy.

Take a break: should breaks be enforced during digital breast tomosynthesis reading sessions?

OBJECTIVES: Digital breast tomosynthesis (DBT) can improve diagnostic accuracy compared to 2D mammography, but DBT reporting is time-consuming and potentially more fatiguing. Changes in diagnostic accuracy and subjective and objective fatigue were evaluated over a DBT reporting session, and the impact of taking a reporting break was assessed. MATERIALS AND METHODS: Forty-five National Health Service (NHS) mammography readers from 6 hospitals read a cancer-enriched set of 40 DBT cases whilst eye tracked in this prospective cohort study, from December 2020 to April 2022. Eye-blink metrics were assessed as objective fatigue measures. Twenty-one readers had a reporting break, 24 did not. Subjective fatigue questionnaires were completed before and after the session. Diagnostic accuracy and subjective and objective fatigue measures were compared between the cohorts using parametric and non-parametric significance testing. RESULTS: Readers had on average 10 years post-training breast screening experience and took just under 2 h (105.8 min) to report all cases. Readers without a break reported greater levels of subjective fatigue (44% vs. 33%, p = 0.04), which related to greater objective fatigue: an increased average blink duration (296 ms vs. 286 ms, p < 0.001) and a reduced eye-opening velocity (76 mm/s vs. 82 mm/s, p < 0.001). Objective fatigue increased as the trial progressed for the no break cohort only (ps < 0.001). No difference was identified in diagnostic accuracy between the groups (accuracy: 87% vs. 87%, p = 0.92). CONCLUSIONS: Implementing a break during a 2-h DBT reporting session resulted in lower levels of subjective and objective fatigue. Breaks did not impact diagnostic accuracy, which may be related to the extensive experience of the readers. CLINICAL RELEVANCE STATEMENT: DBT is being incorporated into many mammography screening programmes. Recognising that reporting breaks are required when reading large volumes of DBT studies ensures this can be factored in when setting up reading sessions. TRIAL REGISTRATION: Clinical trials registration number: NCT03733106 KEY POINTS: • Use of digital breast tomosynthesis (DBT) in breast screening programmes can cause significant reader fatigue. • The effectiveness of incorporating reading breaks into DBT reporting sessions, to reduce mammography reader fatigue, was investigated using eye tracking. • Integrating breaks into DBT reporting sessions reduced reader fatigue; however, diagnostic accuracy was unaffected.

Multiple-instance learning of somatic mutations for the classification of tumour type and the prediction of microsatellite status.

Large-scale genomic data are well suited to analysis by deep learning algorithms. However, for many genomic datasets, labels are at the level of the sample rather than for individual genomic measures. Machine learning models leveraging these datasets generate predictions by using statically encoded measures that are then aggregated at the sample level. Here we show that a single weakly supervised end-to-end multiple-instance-learning model with multi-headed attention can be trained to encode and aggregate the local sequence context or genomic position of somatic mutations, hence allowing for the modelling of the importance of individual measures for sample-level classification and thus providing enhanced explainability. The model solves synthetic tasks that conventional models fail at, and achieves best-in-class performance for the classification of tumour type and for predicting microsatellite status. By improving the performance of tasks that require aggregate information from genomic datasets, multiple-instance deep learning may generate biological insight.

A cost-analysis of managing secondary and apparent treatment-resistant hypertension in a specialist multidisciplinary hypertension clinic.

OBJECTIVES: A knowledge gap exists around the costs and budget impact of specialist hypertension clinics. This study reports on the cost of providing care in a multidisciplinary hypertension clinic staffed by nephrologist, endocrinologist and cardiologist, which manages patients with suspected secondary hypertension and/or apparent treatment-resistant hypertension. The aim of this study is to provide the evidence required to inform policy and planning care pathways for this patient group. METHODS: A cost analysis from a healthcare provider perspective using micro-costing techniques was conducted to estimate the direct implementation costs of existing standard practice for the care pathway of patients attending the multidisciplinary hypertension clinic. Sixty-five patients originally recruited for a study of medication adherence in hypertension were included in the sample. RESULTS: The total care-pathway cost per patient, taking into account clinic visits, clinical reviews, investigations and MDT discussion, was estimated to be €3277, on average. For the patient subgroups, the average cost was €5644 for patients diagnosed with primary aldosteronism and €1446 for patients diagnosed with essential hypertension. CONCLUSION: There is significant cost associated with providing specialized hypertension care for patients with apparent treatment-resistant hypertension. Given the high rates of nonadherence in this population, it is likely that some of this cost could be avoided with better detection and management of medication adherence in this challenging population. Future studies should consider the cost-effectiveness of this or similar models of care by exploring the benefit to patients and the wider healthcare context of providing care of this type.

Contemporary Trends in Antiseptic Pocket Rinse in Primary Breast Implant Surgery.

BACKGROUND: Broad evidence supports the use of antiseptic pocket rinse in breast implant surgery to minimize the risk of capsular contracture or other complications. However, there is limited consensus or standardization of antiseptic rinse in practice. OBJECTIVES: In this preliminary study, we sought to determine contemporary trends in antiseptic rinse use in primary breast implant surgery based on Australian Breast Device Registry (ABDR) data, and whether these trends align with the suggestions of the 14-point plan.2 This further served as a feasibility study for subsequent comparison of antiseptic rinse effects on clinical outcomes. METHODS: Institutional ethics approval was obtained and national ABDR data for primary breast implant surgery from 2015-2020 was analysed for the use, and type, of antiseptic rinse. The surgeon-reported data was homogenized for terminology and categorized into major trends, and the literature reviewed. RESULTS: We analysed data for 37,143 patients, totalling 73,935 primary implants. Antiseptic rinse included Povidone-Iodine (PVP-I) in 35,859 (48.5%), no antiseptic use in 24,216 (32.8%), other concentrations of PVP-I in 4,200 (5.7%), and 'Betadine® triple antibiotic'1 in 1,831 implants (2.5%). Multiple other antiseptic permutations were noted in 7,004 implants (9.5%). CONCLUSIONS: The majority (56.7%) of Australian practitioners utilise previously-described antiseptic pocket irrigation solutions which align with the 14-point plan. A third (32.8%), however, do not record any antiseptic pocket irrigation use. These findings will permit a subsequent (ongoing) study of outcomes comparing PVP-I to no antiseptic pocket rinse that will likely constitute the largest study of its kind.

Making good on the promise of genomics in healthcare: the NSW Health perspective.

NSW Health is implementing genomics as a mainstream component of clinical care. The strategic, holistic approach is considering infrastructure, data governance and management, workforce, education, service planning and delivery. This work is generating insights about how to realise the promise of genomics in healthcare, highlighting the need for strong foundations, real-world application, accessibility and a focus on people using genomic information in clinical care.

Pharmacy-based methadone treatment in the US: views of pharmacists and opioid treatment program staff.

BACKGROUND: The US federal regulations allow pharmacy administration and dispensing of methadone for opioid use disorder (PADMOUD) to increase the capability of opioid treatment programs (OTPs) in providing methadone maintenance treatment (MMT) for opioid use disorder (OUD) as part of a medication unit. However, there is a lack of research data from both pharmacy and OTP staff to inform the implementation of PADMOUD. METHODS: Staff of a pharmacy (n = 8) and an OTP (n = 9) that participated in the first completed US trial on PADMOUD through electronic prescribing for methadone (parent study) were recruited to participate in this qualitative interview study to explore implementation-related factors for PADMOUD. Each interview was recorded and transcribed verbatim. NVivo was used to help identify themes of qualitative interview data. The Promoting Action on Research Implementation in Health Services (PARIHS) framework was used to guide the coding and interpretation of data. RESULTS: Six pharmacy staff and eight OTP staff (n = 14) completed the interview. Results based on PARIHS domains were summarized, including evidence, context, and facilitation domains. Participants perceived benefits of PADMOUD for patients, pharmacies, OTPs, and payers. PADMOUD was considered to increase access for stable patients, provide additional patient service opportunities and revenues for pharmacies/pharmacists, enhance the capability of OTPs to treat more new patients, and reduce patients' cost when receiving medication at a pharmacy relative to an OTP. Both pharmacy and OTP staff were perceived to be supportive of the implementation of PADMOUD. Pharmacy staff/pharmacists were perceived to need proper training on addiction and methadone as well as a protocol of PADMOUD to conduct PADMOUD. Facilitators include having thought leaders to guide the operation, a certification program to ensure proper training of pharmacy staff/pharmacist, having updated pharmacy service software or technology to streamline the workflow of delivering PADMOUD and inventory management, and reimbursement for pharmacists. CONCLUSION: This study presents the first findings on perspectives of PADMOUD from both staff of a community pharmacy and an OTP in the US. Finding on barriers and facilitators are useful data to guide the development of strategies to implement PADMOUD to help address the US opioid crisis.