Clinical Tool Research Articles

Use of a Continuum-Based Framework to Advance General Health Integration in Community Behavioral Health Clinics.

This study assessed the utility and effectiveness of the new general health integration (GHI) framework among community behavioral health organizations designated as certified community behavioral health clinics (CCBHCs) or in the process of applying to become a CCBHC. Nineteen licensed community behavioral health clinics, 18 of which had CCBHC status, participated in a 12-month learning collaborative. They used the GHI framework to assess their integration stage for 15 subdomains within eight domains of evidence-based practice. The clinics worked to improve their GHI practices with the support of monthly learning collaborative webinars, individual consultation calls, and technical assistance sessions. Clinics reported on performance quality metrics aligned with national CCBHC standards. Outcome measures included GHI framework scores at baseline and 1-year follow-up, capacity to report quality metrics at baseline and at the end of the collaborative, and average performance on the quality metrics at baseline versus at the end of the collaborative. Clinics showed overall improvement in integration stage over the study period. Of note, higher baseline GHI framework scores demonstrated a significant association with greater-quality performance at baseline (r=0.577, p=0.024) and follow-up (r=0.782, p=0.001). Capacity to track and report quality metrics increased significantly during the learning collaborative, as did average performance on quality metrics. Community behavioral health clinics using the GHI framework were able to advance their GHI practices with a 12-month learning collaborative project. The framework has the potential to serve as a useful tool for clinics aiming to enhance GHI practices.

Developing a systematic fall risk assessment tool for outpatient clinics

Background In healthcare settings, fall incidents represent a significant public health issue and often result in severe injuries, prolonged hospital admissions, and substantial healthcare costs. Despite current fall risk reduction strategies, falls continue to be among the leading causes of sentinel events. Objective This study aims to identify fall risk factors present in an outpatient clinic work system and develop tools to support proactive risk mitigation. Research Design We introduced a systematic fall risk assessment (SFRA) tool where front-line staff can evaluate their work systems for fall risks. The tool was developed using literature review, observations, and interviews with focus groups. The tool includes step-by-step instructions for an outpatient clinic fall risk assessment, factors to consider in various settings of patient care, and guiding principles to address fall risks in an outpatient work system. Results This tool underwent user testing, which validated its learnability, usability, and usefulness, and was rated positively by a diverse range of clinics and roles. Our preliminary results suggested that the tool was effective in identifying potential fall risk factors of outpatient clinics, even when used by non-experts. Conclusion We demonstrated the effective use of human factors methods to equip front-line staff with tools to proactively evaluate outpatient clinic work systems for fall risks and develop mitigation strategies.

The Clinical Significance and Prognostic Value of ALDH1 Expression in Non-small Cell Lung Cancer: A Systematic Review and Meta-analysis.

The results of the association between aldehyde dehydrogenase 1 (ALDH1) expression and prognosis of non-small cell lung cancer (NSCLC) are contradictory. We conducted this meta-analysis to investigate the clinical significance and prognostic value of ALDH1 in NSCLC. The databases PubMed, Web of Science, EMBASE, the Cochrane Library, Wanfang, and CNKI were systematically queried to identify eligible studies. The retrieval time was from database establishment to August 2023. We evaluated the correlation between ALDH1 expression and clinical features of NSCLC by employing odds ratios (ORs) and 95% confidence intervals (95% CIs). In addition, we used hazard ratios (HRs) and 95% CIs to evaluate the role of ALDH1 expression in the prognosis of NSCLC. Our study included 21 literatures involving 2721 patients. The expression of ALDH1 in NSCLC was higher than that in normal tissues (OR = 6.04, 95% CI: 1.25-29.27, P = 0.026). The expression of ALDH1 was related to TNM stage (OR = 1.81, 95% CI: 1.06-3.09, P = 0.029), tumor grade (OR = 0.29, 95% CI: 0.17-0.48, P < 0.0001), lymph node metastasis (OR = 2.60, 95% CI: 1.52-4.45, P = 0001) and histological subtype (OR = 0.67, 95% CI: 0.52-0.86, P = 0.002). In patients with NSCLC, we found that the over-expression of ALDH1 was significantly associated with poor overall survival (OS) (HR = 1.44, 95% CI: 1.15-1.81, P = 0.002) and disease-free survival (DFS) (HR = 1.74, 95% CI: 1.45-2.10, P < 0.0001). The expression of ALDH1 is closely associated with the clinicopathologic characteristics and prognosis of NSCLC. ALDH1 may serve as a valuable clinical assessment tool and prognostic predictor in NSCLC.

Dynamics of the Pre-Powerstroke Myosin Lever Arm and the Effects of Omecamtiv Mecarbil.

The binding of small molecules to sarcomeric myosin can elicit powerful effects on the chemomechanical cycle, making them effective therapeutics in the clinic and research tools at the benchtop. However, these myotropes can have complex effects that act on different phases of the crossbridge cycle and which depend on structural, dynamic, and environmental variables. While small molecule binding sites have been identified crystallographically and their effects on contraction studied extensively, small molecule-induced dynamic changes that link structure-function are less studied. Here, we use molecular dynamics simulations to explore how omecamtiv mecarbil (OM), a cardiac myosin-specific myotrope, alters the coordinated dynamics of the lever arm and the motor domain in the pre-powerstroke state. We show that the lever arm adopts a range of orientations and find that different lever arm orientations are accompanied by changes in the hydrogen bonding patterns near the converter. We find that the binding of OM to myosin reduces the conformational heterogeneity of the lever arm orientation and also adjusts the average lever arm orientation. Finally, we map out the distinct conformations and ligand-protein interactions adopted by OM. These results uncover some structural factors that govern the motor domain-tail orientations and the mechanisms by which OM primes the pre-powerstroke myosin heads.

Opacity, difference and not knowing: what can psychiatry learn from the work of Édouard Glissant?

Martinican poet, novelist and cultural theorist Édouard Glissant (1928–2011) rejected contemporary simplistic notions of creole hybridity popularised in the 1980s and 1990s in favour of a unique and explicitly antiessentialist...

Artificial Intelligence for the Management of Breast Cancer: An Overview.

Breast cancer is a severe global health problem, and early detection, accurate diagnosis, and personalized treatment is the key to improving patient outcomes. Artificial intelligence (AI) and machine learning (ML) have emerged as promising breast cancer research and clinical practice tools in recent years. Various projects are underway in early detection, diagnosis, prognosis, drug discovery, advanced image analysis, precision medicine, predictive modeling, and personalized treatment planning using artificial intelligence and machine learning. These projects use different algorithms, including convolutional neural networks (CNNs), support vector machines (SVMs), decision trees, and deep learning methods, to analyze and improve different types of data, such as clinical, genomic, and imaging data for breast cancer management. The success of these projects has the potential to transform breast cancer care, and continued research and development in this area is likely to lead to more accurate and personalized breast cancer diagnosis, treatment, and outcomes.

Identifying, Understanding, and Minimizing Unconscious Cognitive Biases in Perioperative Crisis Management: A Narrative Review.

Rapid clinical decision-making behavior is often based on pattern recognition and other mental shortcuts. Although such behavior is often faster than deliberative thinking, it can also lead to errors due to unconscious cognitive biases (UCBs). UCBs may contribute to inaccurate diagnoses, hamper interpersonal communication, trigger inappropriate clinical interventions, or result in management delays. The authors review the literature on UCBs and discuss their potential impact on perioperative crisis management. Using the Scale for the Assessment of Narrative Review Articles (SANRA), publications with the most relevance to UCBs in perioperative crisis management were selected for inclusion. Of the 19 UCBs that have been most investigated in the medical literature, the authors identified 9 that were judged to be clinically relevant or most frequently occurring during perioperative crisis management. Formal didactic training on concepts of deliberative thinking has had limited success in reducing the presence of UCBs during clinical decision-making. The evolution of clinical decision support tools (CDSTs) has demonstrated efficacy in improving deliberative clinical decision-making, possibly by reducing the intrusion of maladaptive UCBs and forcing reflective thinking. Anesthesiology remains a leader in perioperative crisis simulation and CDST implementation, but spearheading innovations to reduce the adverse impact of UCBs will further improve diagnostic precision and patient safety during perioperative crisis management.

Strengthening Linkages Between Health Care and Public Health: A Novel Framework for Public Health Action in Health Care Settings to Improve Cardiovascular Disease Risk.

The Chronic Disease Prevention and Control Program (CDPCP) at the Nebraska Department of Health and Human Services developed a novel public health framework and tools to translate public health knowledge, grant work, and terminology to a health care audience in order to inform clinical practice changes in the management of hyperlipidemia and hypertension. The CDPCP piloted the tools with 2 accountable care organizations that included 19 clinics and then funded 9 independent clinics. The project sought to empower clinics to design and implement interventions for reducing high blood pressure and high blood cholesterol focused on populations disproportionately at risk for those conditions utilizing electronic health records. A team comprising the CDPCP and evaluation specialists created a framework called CAAPIE (Capture, Assess, Action Plan, Implement, Evaluate) to provide a clinic-friendly approach to the public health-focused work. For the capture phase, baseline data were collected from clinics. To guide the assess, action plan, and evaluate phases, the team created a Scan & Plan Tool for clinics to assess practices and policies and then use results to develop an action plan. The assessment was repeated upon completion of the project to evaluate change. Interviews were conducted to assess the utility of these tools and capture information related to the implementation of the project. Clinicians reported the framework and tools provided a useful approach, aiding clinics in understanding public health terminology and intended outcomes of the project. Work resulted in the creation of new or enhanced clinical policies and procedures that led to modest improvements in the management of high blood pressure and high cholesterol. The CAAPIE framework is a novel approach for state health departments to utilize in translating public health grant work to health care professionals, promoting a working relationship between the spheres to achieve positive impacts on individual and population-based health care.

Assessment of drug utilization and potentially inappropriate medications in hemodialysis patients with end-stage renal dysfunction: A study in a tertiary care hospital in Bahrain.

Patients undergoing dialysis pose therapeutic challenges in terms of polypharmacy, administration of potentially inappropriate drugs, and drugs with the potential risk of toxicity. This study evaluated the use of drugs, potentially inappropriate medicines (PIM), drugs with risk of Torsades de Pointes (TdP), and the complexity of the prescribed regimen using the medication regimen complexity index scale in patients undergoing hemodialysis. A retrospective cohort study was carried out amongst patients receiving hemodialysis. Drugs were classified into one of four classes: (i) drugs used in managing renal complications, (ii) cardiovascular drugs, (iii) anti-diabetic drugs, (iv) drugs for symptomatic management, and (v) others. Drugs were considered as PIM according to the Can-SOLVE CKD working group from a network of Canadian nephrology health professionals. The study adhered to the CredibleMeds classification of drugs with known, possible, and conditional risk of TdP and the complexity of prescribed medicines was evaluated based on the pre-validated medication regimen complexity index scale based on form/route, frequency of dosing, and requirement of special instructions. Sixty-three participants were included in the study (49 males and 14 females) with the median (range) age of 45 (21-66) years. Cardiovascular drugs followed by drugs used for managing renal complications were the most common classes administered. Notably, 12 (19.1%) patients received one of the non-steroidal anti-inflammatory drugs, 21 (33.3%) received a proton pump inhibitor, three (4.8%) received pregabalin, two (3.2%) received opioid drugs, and one (1.6%) was administered celecoxib. Atorvastatin, furosemide, omeprazole, and allopurinol were the most common PIM drugs administered to the study participants followed by others. Drugs used for symptomatic management had significantly more PIM compared to other classes (p <0.0001). Six (9.5%) patients received drugs with known TdP risk, one with possible TdP risk, and 61 with conditional risk. Median (range) medical regimen complexity index score was 26.5 (2-62.5). A huge burden of drug therapy was observed in the hemodialysis patients in terms of higher proportions of PIM, complex medical regimen, and prescription of drugs with risk of TdP. Implementation of clinical decision support tools enhancing rational prescription and identification of drugs with TdP risk, introducing antimicrobial stewardship, and stepwise deprescription of the drugs with the least benefit-risk ratio are warranted.

SECURE FLOW - “A Life Saving Intravenous Drip System”

Intravenous (IV) therapy is a common medical procedure that involves the delivery of fluids, medications, or nutrients directly into a vein. Intravenous drips are often used in hospitals and clinics to treat a variety of conditions, including dehydration, sepsis, and chemotherapy. Traditionally, Intravenous drips are controlled manually by healthcare professionals or nurses. In recent years, there has been growing interest in the development of automated Intravenous drip systems. These systems can help to improve the accuracy, efficiency, and safety of Intravenous therapy. The system “Secure flow” is proposed to use solenoid valve to control the flow of fluid, and the load cell is used to measure the weight of the Intravenous bag. If the weight of the Intravenous bag decreases below a certain threshold, the solenoid valve is activated to stop the flow of fluid and also sends an alert notification to the registered number. It also has a potentiometer which can be used to adjust the preset value of the liquid in the solenoid to flow through the patient’s body. Overall, this system has the potential to improve the safety, efficiency, and accuracy of Intravenous therapy. This system can be a valuable tool for hospitals and clinics that are looking to improve the quality of care that they provide to their patients.

The Effect of an Oxytocin Decision Support Checklist on Oxytocin Use and Maternal and Neonatal Outcomes: A Retrospective Cohort Study.

To assess the association between use of an oxytocin decision support checklist with oxytocin usage and clinical outcomes. We conducted a retrospective cohort study of patients with singleton gestations at 370/7 weeks or greater who received oxytocin during labor from October 2012 to February 2017 at an integrated community health care system during three exposure periods: (1) prechecklist; (2) after paper checklist implementation; and (3) after checklist integration into the electronic medical record (EMR). The checklist was a clinical decision support tool to standardize the dosing and management of oxytocin. Thus, our primary outcomes included oxytocin infusion rates and cumulative dose. Secondary outcomes included maternal and neonatal outcomes. We controlled for maternal risk factors with multivariable regression analysis and stratified by mode of delivery. A total of 34,269 deliveries were included. Unadjusted analyses showed that compared with prechecklist, deliveries during the paper and EMR-integrated periods had a lower cumulative dose (4,670 ± 6,174 vs. 4,318 ± 5,719 and 4,286 ± 5,579 mU, p < 0.001 for both), lower maximal infusion rate (9.9 ± 6.8 vs. 8.7 ± 5.8 and 8.4 ± 5.6 mU/min, p < 0.001 for both), and longer duration of oxytocin use (576 ± 442 vs. 609 ± 476 and 627 ± 488 minutes, p < 0.001 and p = 0.01, respectively). The unadjusted rates of cesarean, 5-minute Apgar <7, mechanical ventilation, and neonatal hospital length of stay were similar between periods. The adjusted mean difference in time from admission to delivery was longer during the EMR-integrated period compared with prechecklist (3.0 [95% confidence interval: 2.7-3.3] hours, p < 0.001). Oxytocin checklist use was associated with decreased oxytocin use patterns at the expense of longer labor times. Findings were more pronounced with EMR integration. · An oxytocin decision support checklist is associated with reduced amounts of oxytocin used.. · However, checklists were associated with longer duration of oxytocin use and of labor.. · Results were more pronounced in the EMR-integrated checklist compared with paper checklist..

Evaluation of ChatGPT for Patient Counseling in Kidney Stone Clinic: A Prospective Study.

Introduction: The potential of large language models (LLMs) is to improve the clinical workflow and to make patient care efficient. We prospectively evaluated the performance of the LLM ChatGPT as a patient counseling tool in the urology stone clinic and validated the generated responses with those of urologists. Methods: We collected 61 questions from 12 kidney stone patients and prompted those to ChatGPT and a panel of experienced urologists (Level 1). Subsequently, the blinded responses of urologists and ChatGPT were presented to two expert urologists (Level 2) for comparative evaluation on preset domains: accuracy, relevance, empathy, completeness, and practicality. All responses were rated on a Likert scale of 1 to 10 for psychometric response evaluation. The mean difference in the scores given by the urologists (Level 2) was analyzed and interrater reliability (IRR) for the level of agreement in the responses between the urologists (Level 2) was analyzed by Cohen's kappa. Results: The mean differences in average scores between the responses from ChatGPT and urologists showed significant differences in accuracy (p < 0.001), empathy (p < 0.001), completeness (p < 0.001), and practicality (p < 0.001), except for the relevance domain (p = 0.051), with ChatGPT's responses being rated higher. The IRR analysis revealed significant agreement only in the empathy domain [k = 0.163, (0.059-0.266)]. Conclusion: We believe the introduction of ChatGPT in the clinical workflow could further optimize the information provided to patients in a busy stone clinic. In this preliminary study, ChatGPT supplemented the answers provided by the urologists, adding value to the conversation. However, in its current state, it is still not ready to be a direct source of authentic information for patients. We recommend its use as a source to build a comprehensive Frequently Asked Questions bank as a prelude to developing an LLM Chatbot for patient counseling.

A Review on Real Time Patient Health Monitoring System Using Cloud Technology

Abstract: The rising demand for advanced healthcare solutions has driven the development of innovative technologies aimed at improving patient care. This project introduces a Real-Time Patient Health Monitoring System, which utilizes cloud technology to its full potential. By incorporating cloud infrastructure, data science, and real-time analytics, the system offers continuous monitoring and analysis of crucial health metrics such as SpO2, temperature, and pulse rate. Designed with wearability in mind, the system's architecture ensures uninterrupted monitoring and instant feedback for both patients and healthcare professionals. Cloud technology enables seamless data storage, retrieval, and real-time analysis, thereby providing comprehensive insights into a patient's health status. The project's scalability guarantees its suitability for various healthcare environments, rendering it a versatile tool for hospitals, clinics, and remote healthcare scenarios.

The association between monocyte to high-density lipoprotein cholesterol ratio and chronic kidney disease in a Chinese adult population: a cross-sectional study

Background Monocyte to high-density lipoprotein cholesterol ratio (MHR) was confirmed as a novel inflammatory marker and strongly associated with the risk of several diseases. This study aimed to investigate the relationship between MHR and chronic kidney disease (CKD) in a Chinese adult population. Methods In this cross-sectional study, 232,775 community-dwelling adults in Binhai who completed health checkups in 2021 were enrolled. Participants were categorized based on the MHR quartiles. Clinical characteristics of participants across different groups were compared using one-way ANOVA, Kruskal-Wallis h-test, and Chi-squared test as appropriate. Univariate and multivariable logistic regression analyses were taken to assess the relationship between MHR and the presence of CKD, as well as its association with low estimated glomerular filtration rate (eGFR) and proteinuria. Subgroup analyses were further executed to confirm the reliability of this relationship. Results A total of 21,014 (9.0%) individuals were diagnosed with CKD. Characteristic indicators including waist circumference, body mass index (BMI), blood pressure (BP), serum uric acid (SUA), triglyceride, and fasting blood glucose (FBG) showed a gradual increase with higher MHR quartiles, whereas parameters such as age, total cholesterol, high-density lipoprotein cholesterol (HDL-C), and eGFR decreased (p < .001). In the multivariable logistic regression analysis, we observed independent associations between MHR (per 1 SD increase) and CKD, as well as low eGFR and proteinuria, with odds ratio (ORs) and 95% confidence intervals (95%CIs) of 1.206 (1.186–1.225), 1.289 (1.260–1.319), and 1.150 (1.129–1.171), respectively (p < .001). Similar conclusions were confirmed in subgroup analysis stratified by gender, age, BMI, central obesity, hypertension, and diabetes mellitus, after justification for confounding factors. Conclusion Elevated MHR level was independently associated with the presence of CKD, suggesting that it might serve as a useful clinical tool for risk stratification, offering valuable insights to inform preventive and therapeutic approaches for clinicians in their routine medical practice.

Improved Innate Immune Function in Patients with Chronic Lymphocytic Leukemia Treated with Targeted Therapy in Clinical Trials.

Patients with chronic lymphocytic leukemia (CLL) have increased risk of severe infections. Although adaptive immune dysfunction is well described, clinical tools for identifying patients at risk are lacking, warranting investigation of additional immune components. In contrast to chemotherapy, targeted agents could spare or even improve innate immune function. Therefore, we investigated innate immune phenotypes and function in patients with CLL before and during targeted treatment. Baseline and consecutive blood samples were collected from patients with CLL treated with acalabrutinib (n = 17) or ibrutinib+venetoclax (n = 18) in clinical trials. Innate immune function was assessed by TruCulture, a whole-blood ligand-stimulation assay quantifying cytokine release in response to standardized stimuli. Innate immune phenotypes were characterized by flow cytometry. As a proxy for infections, we mapped antimicrobial use before and during treatment. At baseline, patients with CLL displayed impaired stimulated cytokine responses to the endotoxin lipopolysaccharide (LPS) along with deactivated monocytes, enrichment of myeloid-derived suppressor cells and metamyelocytes, and elevated (unstimulated) proinflammatory cytokines. Two/three cycles of acalabrutinib or ibrutinib normalized LPS-stimulated responses, in parallel with decreased duration of infections. Innate immune profiles and elevated proinflammatory cytokines further normalized during longer-term acalabrutinib or ibrutinib+venetoclax, paralleled by decreased infection frequency. Innate immune impairment and infection susceptibility in patients with CLL were restored in parallel during targeted therapy. Thus, targeted treatment may reduce the risk of infections in CLL, as currently under investigation in the PreVent-ACaLL phase 2 trial of acalabrutinib+venetoclax for high-risk CLL (NCT03868722).

Novel Strategies in Diagnosing Heart Failure with Preserved Ejection Fraction: A Comprehensive Literature Review.

Heart failure (HF) with preserved ejection fraction (HFpEF) is a prevalent global condition affecting approximately 50% of the HF population. With the aging of the worldwide population, its incidence and prevalence are expected to rise even further. Unfortunately, until recently, no effective medications were available to reduce the high mortality and hospitalization rates associated with HFpEF, making it a significant unmet need in cardiovascular medicine. Although HFpEF is commonly defined as HF with normal ejection fraction and elevated left ventricular filling pressure, performing invasive hemodynamic assessments on every individual suspected of having HFpEF is neither feasible nor practical. Consequently, several clinical criteria and diagnostic tools have been proposed to aid in diagnosing HFpEF. Overall, these criteria and tools are designed to assist healthcare professionals in identifying and evaluating patients who may have HFpEF based on a combination of signs, symptoms, biomarkers, and non-invasive imaging findings. By employing these non-invasive diagnostic approaches, clinicians can make informed decisions regarding the best pharmacological and rehabilitation strategies for individuals with suspected HFpEF. This literature review aims to provide an overview of all currently available methods for diagnosing and monitoring this disabling condition.

Implementing a Sodium-Glucose Cotransporter 2 Inhibitor Module With a Software Tool (Future Health Today): Qualitative Study.

Primary care plays a key role in the management of type 2 diabetes. Sodium-glucose cotransporter 2 (SGLT2) inhibitors have been demonstrated to reduce hospitalization and cardiac and renal complications. Tools that optimize management, including appropriate prescribing, are a priority for treating chronic diseases. Future Health Today (FHT) is software that facilitates clinical decision support and quality improvement. FHT applies algorithms to data stored in electronic medical records in general practice to identify patients who are at risk of a chronic disease or who have a chronic disease that may benefit from intensification of management. The platform continues to evolve because of rigorous evaluation, continuous improvement, and expansion of the conditions hosted on the platform. FHT currently displays recommendations for the identification and management of chronic kidney disease, cardiovascular disease, type 2 diabetes, and cancer risk. A new module will be introduced to FHT focusing on SGLT2 inhibitors in patients with type 2 diabetes who have chronic kidney diseases, cardiovascular diseases, or risk factors for cardiovascular disease. The study aims to explore the barriers and enablers to the implementation of an SGLT2 inhibitor module within the Future Health Today software. Clinic staff were recruited to participate in interviews on their experience in their use of a tool to improve prescribing behavior for SGLT2 inhibitors. Thematic analysis was guided by Clinical Performance Feedback Intervention Theory. In total, 16 interviews were completed. Identified enablers of use included workflow alignment, clinical appropriateness, and active delivery of the module. Key barriers to use were competing priorities, staff engagement, and knowledge of the clinical topic. There is a recognized benefit to the use of a clinical decision support tool to support type 2 diabetes management, but barriers were identified that impeded the usability and actionability of the module. Successful and effective implementation of this tool could support the optimization of patient management of type 2 diabetes in primary care.

The Impact of Photopigment Bleaching on the Human Rod Photoreceptor Subretinal Space Measured Via Optical Coherence Tomography.

The purpose of this study was to investigate rod photopigment bleaching-driven intrinsic optical signals (IOS) in the human outer retina and its measurement repeatability based on a commercial optical coherence tomography (OCT) platform. The optical path length of the rod photoreceptor subretinal space (SRS), that is, the distance between signal bands of rod outer segment tips and retinal pigment epithelium, was measured in 15 healthy subjects in ambient light and during a long-duration bleaching white-light exposure. On 2 identical study days (day 1 and day 2 [D1 and D2]), light stimulation resulted in a significant decrease in rod SRS by 21.3 ± 7.6% and 19.8 ± 8.5% (both P<0.001), respectively. The test-retest reliability of the SRS maximum change of an individual subject was moderate for single measures (intraclass correlation coefficient [ICC] = 0.730, 95% confidence interval [CI] = 0.376, 0.900, P<0.001) and good for average measures (ICC = 0.844, 95% CI = 0.546, 0.947, P<0.001). The mean area under the stimulus response curve with values of 14.8 ± 9.4 and 15.5 ± 7.5µm × minutes (P=0.782) showed excellent agreement between the stimulus response on D1 and D2. Intermittent dark adaptation of the retina led to an initial increase of the SRS by 6.1% (P=0.018) and thereafter showed a decrease toward baseline, despite continued dark adaptation. The data indicate the potential of commercial OCT in measuring slow IOS in the outer retina suggesting that the rod SRS could serve as a biomarker for photoreceptor function. The presented approach could provide an easily implementable clinical tool for the early detection of diseases affecting photoreceptor health.

Precision dosing for patients on tricyclic antidepressants.

We aim to develop a personalized dosing tool for tricyclic antidepressants (TCAs) that integrates CYP2D6 and CYP2C19 gene variants and their effects while also considering the polypharmacy effect. The study first adopted a scoring system that assigns weights to each genetic variant. A formula was then developed to compute the effect of both genes' variants on drug dosing. The output of the formula was assessed by a comparison with the clinical pharmacogenetics implementation consortium recommendation. The study also accounts for the effect of the co-administration of inhibitors and inducers on drug metabolism. Accordingly, a user-friendly tool, Clinical Dosing Tool ver.2, was created to assist clinicians in dosing patients on TCAs. The study provides a comprehensive list of all alleles with corresponding activity values and phenotypes for both enzymes. The tool calculated an updated area under the curve ratio that utilizes the effects of both enzymes' variants for dose adjustment. The tool provided a more accurate individualized dosing that also integrates the polypharmacy effect. To the best of our knowledge, the literature misses such a tool that provides a numerical adjusted dose based on continuous numerical activity scores for the considered patients' alleles and phenoconversion.

Mindfulness and Religiosity: Four Propositions to Advance a More Integrative Pedagogical Approach

AbstractIn this commentary article, we critically discuss the need for greater understanding of intercultural and interreligious competence when teaching and applying the practice of mindfulness and contemplative meditation. We start by considering the predominant religious and belief systems that exist worldwide, how each system utilises meditation, and how this meditative practice can be linked to the experience of mindfulness. We then consider how mindfulness can be discussed when taught, through the cultivation of intercultural and interreligious competence. To create a clearer direction in the teaching of mindfulness within the context of interreligious competence, we present four propositions or considerations. We have also put forward a model that suggests mindfulness is a means to achieving greater understanding of self and, thus, more than a clinical tool for ameliorating observable malaise. Moreover, we assert that mindfulness and contemplative meditation practices lie on a continuum that provides the opportunity for self-realisation and optimal states of wellbeing. Our aim is to extend previous discussions on intercultural and interreligious competence as this relates to the practice of meditation. In addition, we continue the philosophical and pedagogical debate to enable teachers and students to optimise the full potential of meditation. In doing so, we create an expansive dialogue to enable teachers and students to engage in a richer and more accepting learning landscape.