Clinical Expertise Research Articles

The peri / postoperative analgesic effect of intravenous paracetamol in dogs

PICO Question In healthy dogs undergoing a surgical procedure, is there improved pain control in dogs receiving intravenous paracetamol in the peri / postoperative period compared to dogs not receiving intravenous paracetamol? Clinical bottom line Category of research Treatment. Number and type of study designs reviewed Three randomised, controlled, and blinded studies. Two studies directly address the PICO question whereby postoperative pain assessment was clinically evaluated following intravenous (IV) paracetamol. The third study addressed the question to a lesser extent, whereby the impact on the sevoflurane minimum alveolar concentration (MAC) reduction in response to noxious stimuli was assessed following the administration of IV paracetamol. Strength of evidence Weak. Outcomes reported The findings of the first two studies presented appear to directly contradict each other. The first study demonstrated a reduction in pain in all groups and found no differences in analgesia between IV paracetamol and other non-steroidal anti-inflammatories drugs (NSAIDs), while the second study reported no analgesia effects from IV paracetamol and was terminated prematurely because a high number of dogs required rescue analgesia. The first study reported sufficient analgesic effects of IV paracetamol and the second study reported no analgesia effects of IV paracetamol. Both were blinded, randomised, controlled studies and directly addressed the PICO question in relation to the peri / postoperative analgesic effects of IV paracetamol. However, their methods and sample sizes were very different. The third study did not demonstrate a clinically relevant sevoflurane MAC reduction after IV paracetamol in dogs. Conclusion At present, there is limited and weak evidence to suggest that IV paracetamol provides peri / postoperative analgesia in dogs. However, further studies are required to better assess its efficacy, its duration of action, and the appropriate doses that are necessary to reach therapeutic plasma levels. The reduced incidence of side effects at the currently recommended doses could support its peri / postoperative use, where NSAIDs use is contraindicated. How to apply this evidence in practice The application of evidence into practice should take into account multiple factors, not limited to: individual clinical expertise, patient’s circumstances and owners’ values, country, location or clinic where you work, the individual case in front of you, the availability of therapies and resources. Knowledge Summaries are a resource to help reinforce or inform decision making. They do not override the responsibility or judgement of the practitioner to do what is best for the animal in their care.

Application of flipped classroom teaching method based on ADDIE concept in clinical teaching for neurology residents

BackgroundAs an important medical personnel training system in China, standardized residency training plays an important role in enriching residents’ clinical experience, improving their ability to communicate with patients and their clinical expertise. The difficulty of teaching neurology lies in the fact that there are many types of diseases, complicated conditions, and strong specialisation, which puts higher requirements on residents’ independent learning ability, the cultivation of critical thinking, and the learning effect. Based on the concept of ADDIE (Analysis-Design-Development-Implementation-Evaluation), this study combines the theory and clinical practice of flipped classroom teaching method to evaluate the teaching effect, so as to provide a basis and reference for the implementation of flipped classroom in the future of neurology residency training teaching.MethodsThe participants of the study were 90 neurology residents in standardised training in our hospital in the classes of 2019 and 2020. A total of 90 residents were divided into a control group and an observation group of 45 cases each using the random number table method. The control group used traditional teaching methods, including problem based learning (PBL), case-based learning (CBL), and lecture-based learning (LBL). The observation group adopted the flipped classroom teaching method based on the ADDIE teaching concept. A unified assessment of the learning outcomes of the residents was conducted before they left the department in the fourth week, including the assessment of theoretical and skill knowledge, the assessment of independent learning ability, the assessment of critical thinking ability, and the assessment of clinical practice ability. Finally, the overall quality of teaching was assessed.ResultsThe theoretical and clinical skills assessment scores achieved by the observation group were significantly higher than those of the control group, and the results were statistically significant (P < 0.001). The scores of independent learning ability and critical thinking ability of the observation group were better than those of the control group, showing statistically significant differences (P < 0.001). The observation group was better than the control group in all indicators in terms of Mini-Cex score (P < 0.05). In addition, the observation group had better teaching quality compared to the control group (P < 0.001).ConclusionBased on the concept of ADDIE combined with flipped classroom teaching method can effectively improve the teaching effect of standardized training of neurology residents, and had a positive effect on the improvement of residents’ autonomous learning ability, critical thinking ability, theoretical knowledge and clinical comprehensive ability.

Ramadan Fasting and Its Impact on Patients With Chronic Kidney Disease: Insights and Guidelines.

Fasting during the month of Ramadan is a religious practice observed by millions of Muslims worldwide, including those with chronic kidney disease (CKD). This comprehensive review aims to reflect uponthe impacts of Ramadan fasting on CKD patients, excluding those on renal replacement therapy, through an analysis of clinical trials, observational studies, and expert reviews from diverse geographic and methodological backgrounds. It addresses renal function stability, broader health considerations, hydration and electrolyte balance, individual variability in fasting responses, clinical and biochemical effects, nutritional considerations, and metabolic effects. This review reveals that, with appropriate monitoring, dietary management, and individualized care plans, many CKD patients can safely participate in Ramadan fasting without adversely affecting their renal function or overall health. It emphasizes the need for a multidisciplinary approach to patient education, pre-Ramadan assessment, and post-Ramadan follow-up. Furthermore, it highlights the importance of considering individual variability and comorbidities in fasting guidance and underscores the necessity of future research to develop robust, patient-centered fasting guidelines. This review aims to provide healthcare professionals with evidence-based recommendations to support CKD patients wishing to observe Ramadan fasting, ensuring patient safety and optimizing care outcomes.

Development of automated neural network prediction for echocardiographic left ventricular ejection fraction.

The echocardiographic measurement of left ventricular ejection fraction (LVEF) is fundamental to the diagnosis and classification of patients with heart failure (HF). This paper aimed to quantify LVEF automatically and accurately with the proposed pipeline method based on deep neural networks and ensemble learning. Within the pipeline, an Atrous Convolutional Neural Network (ACNN) was first trained to segment the left ventricle (LV), before employing the area-length formulation based on the ellipsoid single-plane model to calculate LVEF values. This formulation required inputs of LV area, derived from segmentation using an improved Jeffrey's method, as well as LV length, derived from a novel ensemble learning model. To further improve the pipeline's accuracy, an automated peak detection algorithm was used to identify end-diastolic and end-systolic frames, avoiding issues with human error. Subsequently, single-beat LVEF values were averaged across all cardiac cycles to obtain the final LVEF. This method was developed and internally validated in an open-source dataset containing 10,030 echocardiograms. The Pearson's correlation coefficient was 0.83 for LVEF prediction compared to expert human analysis (p < 0.001), with a subsequent area under the receiver operator curve (AUROC) of 0.98 (95% confidence interval 0.97 to 0.99) for categorisation of HF with reduced ejection (HFrEF; LVEF<40%). In an external dataset with 200 echocardiograms, this method achieved an AUC of 0.90 (95% confidence interval 0.88 to 0.91) for HFrEF assessment. The automated neural network-based calculation of LVEF is comparable to expert clinicians performing time-consuming, frame-by-frame manual evaluations of cardiac systolic function.

Clinical correlates of diagnostic certainty in children and youths with Autistic Disorder

BackgroundClinicians diagnosing autism rely on diagnostic criteria and instruments in combination with an implicit knowledge based on clinical expertise of the specific signs and presentations associated with the condition. This implicit knowledge influences how diagnostic criteria are interpreted, but it cannot be directly observed. Instead, insight into clinicians’ understanding of autism can be gained by investigating their diagnostic certainty. Modest correlations between the certainty of an autism diagnosis and symptom load have been previously reported. Here, we investigated the associations of diagnostic certainty with specific items of the ADOS as well as other clinical features including head circumference.MethodsPhenotypic data from the Simons Simplex Collection was used to investigate clinical correlates of diagnostic certainty in individuals diagnosed with Autistic Disorder (n = 1511, age 4 to 18 years). Participants were stratified by the ADOS module used to evaluate them. We investigated how diagnostic certainty was associated with total ADOS scores, age, and ADOS module. We calculated the odds-ratios of being diagnosed with the highest possible certainty given the presence or absence of different signs during the ADOS evaluation. Associations between diagnostic certainty and other cognitive and clinical variables were also assessed.ResultsIn each ADOS module, some items showed a larger association with diagnostic certainty than others. Head circumference was significantly higher for individuals with the highest certainty rating across all three ADOS modules. In turn, head circumference was positively correlated with some of the ADOS items that were associated with diagnostic certainty, and was negatively correlated with verbal/nonverbal IQ ratio among those assessed with ADOS module 2.LimitationsThe investigated cohort was heterogeneous, e.g. in terms of age, IQ, language level, and total ADOS score, which could impede the identification of associations that only exist in a subgroup of the population. The variability of the certainty ratings in the sample was low, limiting the power to identify potential associations with other variables. Additionally, the scoring of diagnostic certainty may vary between clinicians.ConclusionSome ADOS items may better capture the signs that are most associated with clinicians’ implicit knowledge of Autistic Disorder. If replicated in future studies, new diagnostic instruments with differentiated weighting of signs may be needed to better reflect this, possibly resulting in better specificity in standardized assessments.

An integrated radiology-pathology machine learning classifier for outcome prediction following radical prostatectomy: Preliminary findings

ObjectivesTo evaluate the added benefit of integrating features from pre-treatment MRI (radiomics) and digitized post-surgical pathology slides (pathomics) in prostate cancer (PCa) patients for prognosticating outcomes post radical-prostatectomy (RP) including a) rising prostate specific antigen (PSA), and b) extraprostatic-extension (EPE). MethodsMulti-institutional data (N = 58) of PCa patients who underwent pre-treatment 3-T MRI prior to RP were included in this retrospective study. Radiomic and pathomic features were extracted from PCa regions on MRI and RP specimens delineated by expert clinicians. On training set (D1, N = 44), Cox Proportional-Hazards models MR, MP and MRaP were trained using radiomics, pathomics, and their combination, respectively, to prognosticate rising PSA (PSA > 0.03 ng/mL). Top features from MRaP were used to train a model to predict EPE on D1 and test on external dataset (D2, N = 14). C-index, Kalplan-Meier curves were used for survival analysis, and area under ROC (AUC) was used for EPE. MRaP was compared with the existing post-treatment risk-calculator, CAPRA (MC). ResultsPatients had median follow-up of 34 months. MRaP (c-index = 0.685 ± 0.05) significantly outperformed MR (c-index = 0.646 ± 0.05), MP (c-index = 0.631 ± 0.06) and MC (c-index = 0.601 ± 0.071) (p < 0.0001). Cross-validated Kaplan-Meier curves showed significant separation among risk groups for rising PSA for MRaP (p < 0.005, Hazard Ratio (HR) = 11.36) as compared to MR (p = 0.64, HR = 1.33), MP (p = 0.19, HR = 2.82) and MC (p = 0.10, HR = 3.05). Integrated radio-pathomic model MRaP (AUC = 0.80) outperformed MR (AUC = 0.57) and MP (AUC = 0.76) in predicting EPE on external-data (D2). ConclusionsResults from this preliminary study suggest that a combination of radiomic and pathomic features can better predict post-surgical outcomes (rising PSA and EPE) compared to either of them individually as well as extant prognostic nomogram (CAPRA).

Generative models improve fairness of medical classifiers under distribution shifts

Domain generalization is a ubiquitous challenge for machine learning in healthcare. Model performance in real-world conditions might be lower than expected because of discrepancies between the data encountered during deployment and development. Underrepresentation of some groups or conditions during model development is a common cause of this phenomenon. This challenge is often not readily addressed by targeted data acquisition and ‘labeling’ by expert clinicians, which can be prohibitively expensive or practically impossible because of the rarity of conditions or the available clinical expertise. We hypothesize that advances in generative artificial intelligence can help mitigate this unmet need in a steerable fashion, enriching our training dataset with synthetic examples that address shortfalls of underrepresented conditions or subgroups. We show that diffusion models can automatically learn realistic augmentations from data in a label-efficient manner. We demonstrate that learned augmentations make models more robust and statistically fair in-distribution and out of distribution. To evaluate the generality of our approach, we studied three distinct medical imaging contexts of varying difficulty: (1) histopathology, (2) chest X-ray and (3) dermatology images. Complementing real samples with synthetic ones improved the robustness of models in all three medical tasks and increased fairness by improving the accuracy of clinical diagnosis within underrepresented groups, especially out of distribution.

A bibliometric analysis of research in the field of forensic psychiatry

IntroductionForensic psychiatry is a subspeciality that encompasses applying scientific and clinical expertise in legal contexts. As a field of psychiatry, forensic psychiatry has continued to evolve in various jurisdictions. Several journal publications continue to highlight the contributions and works of various psychiatry researchers in this area on scientific development and trends in practice. However, a quantitative assessment of these publications using a bibliometric analysis has yet to be done. Thus, the present study.ObjectivesProvide a qualitative assessment of the bibliometrics of peer-reviewed research in forensic psychiatry.MethodsIn this bibliometric analysis, we used Web of Science (the most frequently used database) to identify research articles in forensic psychiatry from inception to December 2023. Analysis was done using citespace and VOSviewer software.ResultsFive thousand six hundred ninety articles were identified with 115 countries, 4144 institutions and universities, and 1660 authors. The articles were published in 1022 journals (most are specific to the field), and 4707 unique keywords were used to identify relevant articles. Risk assessments, violence, recidivism, psychopathy, and schizophrenia are the main areas researched. Sixteen funding agencies have funded ten or more articles in the field. The studies were mainly from high-income countries and a relatively scant number from low-income countries, especially African countries. Publications with themes on risk assessment tools – such as the HCR-20- appeared predominant across the analyzed publications.ConclusionsResearch in forensic psychiatry has continued to grow over time. While many jurisdictions across the globe have embraced the field, more effort is needed to promote forensic psychiatry and research in low- and middle-income countries (LMICs). The themes or keywords that emerged from the publications included in this analysis suggest that forensic psychiatry mainly deals with offenders with schizophrenia or psychopathy.Disclosure of InterestNone Declared

The European Voice of the Patient living with pulmonary hypertension associated with interstitial lung disease: Diagnosis, symptoms, impacts, and treatments.

Pulmonary hypertension (PH) adds a substantial disease burden, including higher mortality, when associated with interstitial lung disease (ILD), a severe, chronic, progressive condition. Yet little is known of the lived experiences, perspectives, priorities, and viewpoints of patients and carers living with PH-ILD. The Voice of the Patient meeting at the center of this qualitative research study aims to provide these difficult-to-obtain insights from a European perspective for the first time. The multistakeholder approach brought together four PH-ILD patients, three primary caregivers, two patient associations, clinical experts, sponsor representatives, and a facilitator. Of the six major themes identified in the thematic analysis, symptoms, and physical limitations were the most impactful. Shortness of breath was the most bothersome symptom affecting patients daily. Further symptoms included fatigue, cough, dizziness, syncope, edema, and palpitations. Physical limitations focused on reduced mobility, impacting patients' ability to perform daily tasks, hobbies, sports, and to enjoy travel. Existing antifibrotic and pulmonary arterial hypertension-targeted treatments were perceived as beneficial. However, despite advances in treatment, severe disease burdens and high unmet medical needs persist from the perspectives of patients. Most meaningful to patients' daily wellbeing was supplemental oxygen, enabling greater mobility. Patients and carers reported difficulties and barriers in navigating the healthcare system and obtaining adequate information to reduce their considerable uncertainties, documenting the substantial challenges that rare and complex conditions such as PH-ILD pose for routine clinical practice beyond PH expert centers and indicating an urgent need for high-quality patient- and clinician-directed information to support patient-centered care.

Multimodal deep transfer learning to predict retinal vein occlusion macular edema recurrence after anti-VEGF therapy

PurposeTo develop a multimodal deep transfer learning (DTL) fusion model using optical coherence tomography angiography (OCTA) images to predict the recurrence of retinal vein occlusion (RVO) and macular edema (ME) after three consecutive anti-VEGF therapies. MethodsThis retrospective cross-sectional study consisted of 2800 B-scan OCTA macular images collected from 140 patients with RVO-ME. The central macular thickness (CMT) > 250 μm was used as a criterion for recurrence in the three-month follow-up after three injections of anti-VEGF therapy. The qualified OCTA image preprocessing and the lesion area segmentation were performed by senior ophthalmologists. We developed and validated the clinical, DTL, and multimodal fusion models based on clinical and extracted OCTA imaging features. The performance of the models and experts predictions were evaluated using several performance metrics, including the area under the receiver operating characteristic curve (AUC), accuracy, sensitivity, and specificity. ResultsThe DTL models exhibited higher prediction efficacy than the clinical models and experts’ predictions. Among the DTL models, the Vgg19 performed better than that of the other models, with an AUC of 0.968 (95 % CI, 0.943–0.994), accuracy of 0.913, sensitivity of 0.922, and specificity of 0.902 in the validation cohort. Moreover, the fusion Vgg19 model showed the highest prediction efficacy among all the models, with an AUC of 0.972 (95 % CI, 0.946–0.997), accuracy of 0.935, sensitivity of 0.935, and specificity of 0.934 in the validation cohort. ConclusionsMultimodal fusion DTL models showed robust performance in predicting RVO-ME recurrence and may be applied to assist clinicians in determining patients’ follow-up time after anti-VEGF therapy.

Study to evaluate the effect of Tangshen Fang combined with guideline‐directed medical treatment on the quality of life and clinical outcomes in patients with diabetic nephropathy: A clinical trial on constructing a novel paradigm of integrated traditional Chinese and Western medicine in the treatment of diabetic nephropathy

AbstractBackgroundDiabetic kidney disease (DKD) is one of the most common microvascular complications of diabetes mellitus and has become the primary cause of end‐stage renal disease in China. In patients with severe renal insufficiency, Western medical treatments often yield unsatisfactory results. Preliminary studies have indicated that the Chinese herbal formula Tangshen Fang improves estimated glomerular filtration rate (eGFR) in patients with DKD.Methods/designThis is a multicenter, randomized, open‐label, controlled clinical trial. DKD patients with eGFR levels between 25 and 75 mL/min (1.73 m2) and urinary albumin‐to‐creatinine ratio (UACR) ≥ 30 mg/g, or eGFR level between 25 and 60 mL/min (1.73 m2) and UACR &lt;30 mg will be included. A total of 144 participants will be randomly allocated to the treatment group (Tangshen Fang plus standard Western medicine with or without other traditional Chinese medicine [TCM]) and the control group (standard Western medicine with or without other TCM) at a 1:1 ration. The study duration will be 24 weeks and the follow‐up period will be extended to 96 weeks. The primary endpoint will be the change in eGFR from baseline to week 24. Secondary endpoints will include changes in UACR, body weight, waist circumference, blood pressure, lipid levels, fasting plasma glucose, glycosylated hemoglobin A1c (HbA1c), and improvement in TCM symptoms and quality of life. Adverse events will also be evaluated.DiscussionThis study will provide evidence of the effectiveness and safety of Tangshen Fang in treating patients with DKD. It will also form the clinical pathway and expert consensus on integrating traditional Chinese and Western medicine for DKD and provide clinical evidence for the rational use of hospital preparations of Tangshen Fang.Trial registrationChinese Clinical Trials Registry, ChiCTR2300069269. Registered March 10, 2023.

Methods and experiences of a collaborative research project carried out by academic clinical researchers and experts by experience

Introduction Patient or service user participation in research and development is seen as essential in health research, including in topics within psychiatry. The process and depth of research collaboration can vary and is not always described adequately.Objectives The objective is to describe the collaborative methods and the experiences of experts by experience and academic researchers in a research project on patients’ experiences of remote care in psychiatric settings during and after the COVID-19 pandemic.MethodsWe describe our collaborative methods and experiences using the INVOLVE key features (www.involve.nihr.ac.uk).ResultsCollaboration started with an open discussion on research aims and role definitions. Collaborative methods included teaching and training sessions on interview methodologies, collaboratively writing and evaluating documents for ethical approval and research permission, collaboratively planning the recruitment process, preparation, and conducting research interviews and analysis. On-line and in-person meetings have been essential for an an-going dialogue and reflection. The methods and experiences are described in more detail in Table 1. Openness and building trust have been important and time was needed to achieve these. All academic researchers had been actively working with experts by experience in the clinical settings before the research project. The collaboration in the current study has emphasized the need for active involvement of experts with experience throughout the research process. For the experts by experience, the project has provided new insight into academic research and given them confidence in their ability to participate meaningfully in a collaborative study project. The academic researchers valued the sense of significance of the research topic and shared decision-making that the collaboration has brought into the project.Image:ConclusionsCollaborative research needs time to build trust and to clearly define the roles of participants, from the opening stage of the process. Continuous learning during the research process is emphasized. Since different research methodologies arise from various theoretical backgrounds, we suggest adding a topic on research theory to the INVOLVE key features.Disclosure of InterestNone Declared

A Core Outcome Set for Efficacy of Acute Treatment of Hereditary Angioedema

BackgroundClinical trials investigating drugs for acute treatment of hereditary angioedema attacks have assessed many different outcomes. This heterogeneity limits comparability of trial results and may lead to selective outcome reporting bias and a high burden on trial participants. ObjectiveTo achieve consensus on a Core Outcome Set comprising key outcomes that should ideally be utilized in all clinical efficacy trials involving acute treatment of hereditary angioedema attacks. MethodsA Delphi consensus study was conducted involving all relevant parties: hereditary angioedema patients, hereditary angioedema expert clinicians and clinical researchers, pharmaceutical companies, and regulatory bodies. Two internet-based survey rounds were conducted. In round 1, panelists indicated the importance of individual outcomes used in clinical trials on a 9-point Likert scale. Based on these results, a core outcome set was developed and voted on by panelists in round 2. ResultsFifty-eight worldwide panelists completed both rounds. The first round demonstrated high importance scores and substantial agreement among the panelists. In the second round, a consensus of ≥90% was achieved on a core outcome set consisting of five key outcomes: change in overall symptom severity at one predetermined time point between 15 minutes and 4 hours after treatment, time to end of progression of all symptoms, need for rescue medication during the entire attack, impairment of daily activities, and treatment satisfaction. ConclusionThis international study obtained a high level of consensus on a core outcome set for acute treatment of hereditary angioedema attacks consisting of five key outcomes.

The Australian Traumatic Brain Injury Initiative: Review and Recommendations for Outcome Measures for Use With Adults and Children After Moderate-to-Severe Traumatic Brain Injury.

The Australian Traumatic Brain Injury Initiative (AUS-TBI) aims to select a set of measures to comprehensively predict and assess outcomes following moderate-to-severe traumatic brain injury (TBI) across Australia. The aim of this article was to report on the implementation and findings of an evidence-based consensus approach to develop AUS-TBI recommendations for outcome measures following adult and pediatric moderate-to-severe TBI. Following consultation with a panel of expert clinicians, Aboriginal and Torres Strait Islander representatives and a Living Experience group, and preliminary literature searches with a broader focus, a decision was made to focus on measures of mortality, everyday functional outcomes, and quality of life. Standardized searches of bibliographic databases were conducted through March 2022. Characteristics of 75 outcome measures were extracted from 1485 primary studies. Consensus meetings among the AUS-TBI Steering Committee, an expert panel of clinicians and researchers and a group of individuals with lived experience of TBI resulted in the production of a final list of 11 core outcome measures: the Functional Independence Measure (FIM); Glasgow Outcome Scale-Extended (GOS-E); Satisfaction With Life Scale (SWLS) (adult); mortality; EuroQol-5 Dimensions (EQ5D); Mayo-Portland Adaptability Inventory (MPAI); Return to Work /Study (adult and pediatric); Functional Independence Measure for Children (WEEFIM); Glasgow Outcome Scale Modified for Children (GOS-E PEDS); Paediatric Quality of Life Scale (PEDS-QL); and Strengths and Difficulties Questionnaire (pediatric). These 11 outcome measures will be included as common data elements in the AUS-TBI data dictionary. Review Registration PROSPERO (CRD42022290954).

Nurse-Led Care Coordination in a Transitional Clinic for Uninsured Patients With Diabetes.

The purpose of this article is to inform the reader of the practice of the registered nurse care coordinator (RNCC) within an interprofessional, nurse-led clinic serving uninsured diabetic patients in a large urban city. This clinic serves as a transitional care clinic, providing integrated diabetes management and assisting patients to establish with other primary care doctors in the community once appropriate. The clinic uses an interprofessional collaborative practice (IPCP) model with the RNCC at the center of patient onboarding, integrated responsive care, and clinic transitioning. Interprofessional, nurse-led clinic for uninsured patients with diabetes. Interprofessional models of care are strengthened using a specialized care coordinator. Care coordination is a key component in case management of a population with chronic disease. The RNCC, having specialized clinical expertise, is an essential member of the interdisciplinary team, contributing a wide range of resources to assist patients in achieving successful outcomes managing diabetes. Transitional care coordination, moving from unmanaged to managed diabetes care, is part of a bundled health care process fundamental to this clinic's IPCP model. In a transitional clinic setting, frequent interaction with patients through onboarding, routine check-ins, and warm handoff helps support and empower the patient to be engaged in their personal health care journey.

Frequently asked questions about adverse drug reactions of methylphenidate

Summary This article addresses frequently asked questions about the adverse drug reactions associated with methylphenidate treatment. Methylphenidate is a central nervous system stimulant used primarily for the treatment of attention-deficit/hyperactivity disorder. It utilizes insights from the combined knowledge of pharmacists and physicians who advise healthcare professionals in the Capital Region of Denmark on patient-specific medication queries. The article provides an overview of the clinical challenges and safety considerations associated with methylphenidate use, integrating empirical data and clinical expertise to facilitate informed decision-making by practitioners.

Practical Considerations for Managing Pregnancy in Patients With Multiple Sclerosis: Dispelling the Myths.

Lack of consistent data and guidance have led to variations between clinicians in the management of pregnancy in women with multiple sclerosis (MS). Pregnant and/or lactating women are often excluded from clinical trials conducted in MS, and thus, the labeling for most disease-modifying therapies (DMTs) excludes use during pregnancy. This has led to heterogeneity in interpretation and labeling regarding the safety of DMTs during pregnancy and lactation and the required preconception washout periods. This review identifies key themes where there is conflicting information surrounding family planning and pregnancy in MS, focusing on the most common discussion points between physicians and patients during preconception planning, pregnancy, postpartum, and lactation. The goal was to inform the patient-physician conversation and provide best practice recommendations based on expert clinical expertise and experience. We outline the latest evidence-based data for DMT use during pregnancy and lactation, the effect of MS on fertility and fertility treatments, the risk of adverse pregnancy and delivery outcomes, the risk of postpartum relapse, and immunization and clinical imaging safety during pregnancy and breastfeeding. Management of family planning and pregnancy in patients with MS requires the most current information. Health care providers should discuss family planning early and frequently with patients with MS, and partners where practicable. Because management of pregnant people with MS will often require a risk/benefit analysis of their needs, shared decision-making in family planning discussions is emphasized. Additional data are needed for specific and underrepresented populations with MS (e.g., single parents or those from the LGBTQ+ community) and those at risk of racial and socioeconomic disparities in care. Pregnancy registries and the design and conduct of clinical trials focused on pregnant and lactating patients should provide additional data to guide the ongoing management of patients with MS.

Formulation of international standards of Chinese medicine technology: clinical practice guide of Chinese medicine for cough.

To formulate the first clinical practice guideline for the treatment of cough using Chinese medicine based on the grading of recommendations assessment, development, and evaluation (GRADE) systematic approach, including clinical evidence, evaluation of ancient literature, and expert consensus. In the process of development, the regulation of "evidence-based, consensus-assisted, and empirical" was followed, and a comprehensive systematic approach of recommendation assessment, GRADE, evidence-based evaluation, expert consensus, and the Delphi method was used. In the process of guideline development, evidence-based evaluation of ancient literature was included for the first time, and clinical evidence was fully integrated with clinical expert consensus. The clinical practice guidelines for the treatment of cough with Chinese herbal medicine were developed after a comprehensive consideration of evidence-based evaluation and expert opinions. The guideline recommendations focused on recommending herbal compound decoctions and Chinese patent medicines for cough in different conditions. Based on the GRADE systematic approach, we conducted an evidence-based evaluation of the recommended Chinese patent medicines one by one; meanwhile, the expert consensus method was used to unify the recommendations of both. Based on clinical evidence, ancient literature evaluation, and expert consensus, a clinical practice guideline for Traditional Chinese Medicine (TCM) in the treatment of cough was developed, providing the first current clinical practice guideline for domestic and foreign TCM and Western medicine practitioners, especially respiratory professionals at home and abroad.

Évaluation de la satisfaction des professionnels de santé utilisateurs du site internet du CRAT et lancement d’une nouvelle version

In preparation for a new version of the CRAT (Centre de référence sur les agents tératogènes) website, an evaluation of user satisfaction was carried out. An invitation to complete an online questionnaire covering the various dimensions of the website (appearance, content, interactivity, ease of use, technical performance) was sent in April 2022 to healthcare professionals who referred to CRAT for clinical expertise over the previous two years. After sending out 3224 individual e-mail invitations, 758 evaluators completed the questionnaire in full (response rate: 23.5%). The evaluation revealed a high-level of overall satisfaction among site users (98.0% very satisfied or satisfied). Satisfaction with the site's appearance was also high, although comments were made about the site's lack of a modern web design. Health professionals recognized in their responses the reliable, relevant and up-to-date nature of the content of this free, public online resource, independent of the pharmaceutical industry. On the basis of these highly favorable assessments, with content that has been widely acclaimed and areas for improvement that have caught the attention of site users (evolution of its appearance, of the search tool, implementation of a mobile site), a new version of www.lecrat.fr was launched in the fall of 2023.

New approaches in the neuropsychological evaluation of aADHD

IntroductionIn Hungary, the understanding and diagnosis of adult attention-deficit/hyperactivity disorder (aADHD) are influenced by a blend of international epidemiological data and the standardized criteria established in DSM-5. The diagnostic protocols at our aADHD Outpatient Clinic at Semmelweis University have been carefully adjusted and validated to align with the practical application of empirical evidence and the extensive clinical expertise of professionals. The current diagnostic protocol encompasses the use of diagnostic interviews (symptoms identification based on DSM criteria; SCID-5-PD; M.I.N.I.-PLUS-5.0), the Conners’ Adult ADHD Rating Scales–Self Report questionnaire (CAARS), heteroanamnesis with parents, a comprehensive neuropsychological instruments battery (including the Rey Auditory Verbal Learning Test, Stroop Test, Conners-CPT3, Trail Making Test) and WAIS-IV Intelligence Scale.ObjectivesA valid and appropriate diagnosis plays a crucial social role by legitimizing individuals’ attention/health issues, confirming their concerns, and addressing cultural and moral expectations. The primary objective of this work is to refine the diagnostic methodology by extensive review of the international literature and the analysis of our own data.MethodsWith the aim of aggregating and analyzing the collected data based on examinations of the Hungarian adult population, our assessment methods are employed to acquire detailed information regarding ADHD prevalence, symptoms, and the related neuropsychological profiles.ResultsWhile various diagnostic approaches generally demonstrated good alignment, in some cases, significant discrepancies between neuropsychological assessment and the rest of our tools were observed, indicating a number of instances of false positives or false negatives. Especially the relevance of Rey Auditory Verbal Learning Test and Trail Making Test are questionable.ConclusionsThe results highlight the necessity for more refined diagnostic criteria and a meticulous selection of neuropsychological techniques to enhance consistency between various approaches, ultimately enabling a more robust diagnostic accuracy.Disclosure of InterestNone Declared