Manifestaciones clínicas post supresión de sedoanalgesia en pacientes adultos de una terapia intensiva / Clinical manifestations after suppression of sedoanalgesia in adult patients in intensive care

Introducción: en la unidad de cuidados intensivos (UCI), las personas asistidas con patologías relevantes se encuentran bajo sedación, una vez que estas se encuentran bajo los principios de supresión de la sedación, es importante identificar cuáles son las manifestaciones que presentan, propias de las sedaciones. Objetivo: describir las manifestaciones clínicas del síndrome de supresión de la sedoanalgesia presentes en pacientes asistidos en un Hospital Público de la Ciudad de Corrientes de enero a diciembre del 2022. Metodología: estudio cuantitativo, descriptivo, transversal y observacional. La muestra incluyó pacientes adultos de UCI. El cálculo del tamaño muestral se realizó a través del método probabilístico aleatorio simple resultando de éste una muestra de 100 historias clínicas. Para la recolección de datos se utilizó la observación y como instrumento un formulario semiestructurado, de carácter anónimo. Cada formulario contenía datos específicos donde se categorizan las variables en estudio como ser edad, sexo, comorbilidades, tiempo de sedoanalgesia, tipo de sedación, sedoanalgesia utilizada, agitación, confusión, alucinación, diaforesis, taquicardia. Resultados: en cuanto a la edad se obtuvo un promedio de 49 años, el sexo predominante fue el masculino con 52%, en cuanto a las comorbilidades más frecuentes, el 20% presentó Insuficiencia Respiratoria Aguda y el 16% Insuficiencia renal. El motivo de ingreso a UCI en mayor medida con el 33% fue por dificultad respiratoria y Post Quirúrgicos complicados 32%. Los fármacos de mayor elección fueron midazolam 94%, seguido del fentanilo 80%. En cuanto al tiempo de sedación de los pacientes, se encontró una media de 1265 horas. Las manifestaciones clínicas que se observaron en la muestra en mayor medida corresponden a taquicardia 70%, agitación 52%, un 37% confusión e hipertensión y un 24% alucinación. Conclusión: las manifestaciones que se presentaron con mayor frecuencia fueron taquicardia, agitación, confusión, hipertensión y con menor frecuencia alucinación[AU]

Introduction: in the intensive care unit (ICU), people treated with relevant pathologies are under sedation. Once they are under the principles of sedation suppression, it is important to identify the manifestations they present, typical of sedations. Objective: To describe the clinical manifestations of sedation suppression syndrome present in patients treated at a Public Hospital in the City of Corrientes from January to December 2022. Methodology: quantitative, descriptive, cross-sectional and observational study. The sample included adult ICU patients. The calculation of the sample size was carried out through the simple random probabilistic method, resulting in a sample of 100 medical records. Manifestaciones clínicas post supresión de sedoanalgesia en pacientes adultos de una terapia intensiva. Observation was used to collect data and a semi-structured, anonymous form was used as an instrument. Each form contained specific data where the variables under study were categorized, such as age, sex, comorbidities, sedation time, type of sedation, sedation used, agitation, confusion, hallucination, diaphoresis, tachycardia. Results: regarding age, an average of 49 years was obtained, the predominant sex was male with 52%, regarding the most frequent comorbidities, 20% presented Acute Respiratory Failure and 16% Renal failure. The reason for admission to the ICU to a greater extent with 33% was due to respiratory difficulty and complicated Post-Surgeries 32%. The drugs of greatest choice were midazolam 94%, followed by fentanyl 80%. Regarding the sedation time of the patients, an average of 1265 hours was found. The clinical manifestations that were observed in the sample to a greater extent correspond to tachycardia 70%, agitation 52%, confusion and hypertension 37% and hallucination 24%. Conclusion: the manifestations that occurred most frequently were tachycardia, agitation, confusion, hypertension and, less frequently, hallucination[AU]

Introdução: na unidade de terapia intensiva (UTI), as pessoas tratadas com patologias relevantes estão sob sedação. Uma vez sob os princípios da supressão da sedação, é importante identificar as manifestações que apresentam, típicas das sedações. Objetivo: Descrever as manifestações clínicas da síndrome de supressão da sedação presentes em pacientes atendidos em um Hospital Público da Cidade de Corrientes no período de janeiro a dezembro de 2022. Metodologia: estudo quantitativo, descritivo, transversal e observacional. A amostra incluiu pacientes adultos internados em UTI. O cálculo do tamanho amostral foi realizado pelo método probabilístico aleatório simples, resultando em uma amostra de 100 prontuários. A observação foi utilizada para a coleta de dados e um formulário semiestruturado e anônimo foi utilizado como instrumento. Cada formulário continha dados específicos onde foram categorizadas as variáveis em estudo, como idade, sexo, comorbidades, tempo de sedação, tipo de sedação, sedação utilizada, agitação, confusão, alucinação, sudorese, taquicardia. Resultados: em relação à idade obteve-se uma média de 49 anos, o sexo predominante foi o masculino com 52%, quanto às comorbidades mais frequentes, 20% apresentavam Insuficiência Respiratória Aguda e 16% Insuficiência Renal. O motivo de internação na UTI em maior proporção com 33% foi por dificuldade respiratória e pós-cirúrgicos complicados 32%. Os medicamentos de maior escolha foram midazolam 94%, seguido de fentanil 80%. Quanto ao tempo de sedação dos pacientes, foi encontrada uma média de 1265 horas. As manifestações clínicas mais observadas na amostra correspondem a taquicardia 70%, agitação 52%, confusão e hipertensão 37% e alucinação 24%. Conclusão: as manifestações que ocorreram com maior frequência foram taquicardia, agitação, confusão, hipertensão e, menos frequentemente, alucinação[AU]

Prevalência, incidência e caracterização sociodemográfica e clínica das pessoas com estoma de eliminação em Portugal / Prevalence, incidence, and sociodemographic and clinical characterization of individuals with an intestinal or urinary stoma in Portugal / Prevalencia, incidencia y caracterización sociodemográfica y clínica de las personas con ostomía de eliminación en Portugal

Resumo Enquadramento: Dados que caracterizam as pessoas com estoma em Portugal são escassos. Estabelecer estimativas epidemiológicas pode melhorar o conhecimento sobre esta população e adaptar modelos de cuidados de saúde. Objetivos: Estimar a prevalência e incidência de pessoas com estoma de eliminação em Portugal em 2021. Metodologia: Estudo observacional, longitudinal e retrospetivo, a partir de uma base de dados de dispensa de dispositivos para ostomia. Resultados: Em 2021, o número estimado de pessoas com pelo menos um estoma foi de 22.045. Entre estes, 19.793 [IC95%:19.599;19.994] tinham um estoma de eliminação. Na sua maioria eram homens (61,4%), em média tinham 70,5 anos e residiam preferencialmente na região interior do país. O tipo de estoma de eliminação mais prevalente foi a colostomia (48,8%). A incidência estimada de novos casos foi de 6.622, sendo 5.834 [IC95%:5.680;5.984] referentes a estomas de eliminação. Conclusão: Estes resultados permitiram caracterizar o perfil das pessoas com estoma de eliminação em Portugal. Poderão ser úteis para ajustar os programas de prevenção/acompanhamento em saúde desta população e ainda alocar recursos especializados.

Abstract Background: Data characterizing individuals with a stoma in Portugal is limited. Establishing epidemiological estimates can enhance understanding of this population and facilitate the adaptation of healthcare models. Objectives: To estimate the prevalence and incidence of individuals in Portugal who have undergone intestinal or urinary ostomy in 2021. Methodology: Observational, longitudinal, and retrospective study using a stoma appliance dispensing database. Results: In 2021, an estimated 22,045 individuals had at least one stoma, with 19,793 [95%CI:19,599;19,994] having an intestinal/urinary stoma. Most of these individuals were men (61.4%) with a mean age of 70.5 years and resided in the inland region of Portugal. Colostomy was the most prevalent type of intestinal/urinary stoma (48.8%). The estimated incidence of new cases was 6,622, of which 5,834 [95%CI:5,680;5,984] were intestinal/urinary stomas. Conclusion: These results characterize the profile of individuals with intestinal and urinary stomas in Portugal. They may be useful in adjusting prevention and health monitoring programs for this population and allocating specialized resources.

Resumen Marco contextual: Los datos que caracterizan a las personas con estomas en Portugal son escasos. Establecer estimaciones epidemiológicas puede mejorar el conocimiento sobre esta población y adaptar modelos sanitarios. Objetivos: Estimar la prevalencia y la incidencia de personas con estoma de eliminación en Portugal en 2021. Metodología: Estudio observacional, longitudinal y retrospectivo, basado en una base de datos de dispensaciones de dispositivos de ostomía. Resultados: En 2021, el número estimado de personas con al menos un estoma era de 22.045, de las cuales 19.793 [IC95%:19.599;19.994] tenían un estoma de eliminación. La mayoría de ellos eran hombres (61,4%), tenían una edad media de 70,5 años y vivían principalmente en el interior del país. El tipo de estoma de eliminación más frecuente era la colostomía (48,8%). La incidencia estimada de nuevos casos fue de 6.622, de los cuales 5.834 [IC95%:5.680;5.984] eran estomas de eliminación. Conclusión: Estos resultados han permitido caracterizar el perfil de las personas con estoma de eliminación en Portugal. Podrían ser útiles para ajustar los programas de prevención/seguimiento de la salud de esta población y para asignar recursos especializados.

24-h continuous non-invasive multiparameter home monitoring of vitals in patients with Rett syndrome by an innovative wearable technology: evidence of an overlooked chronic fatigue status.

Background: Sleep is disturbed in Rett syndrome (RTT), a rare and progressive neurodevelopmental disorder primarily affecting female patients (prevalence 7.1/100,000 female patients) linked to pathogenic variations in the X-linked methyl-CpG-binding protein 2 (MECP2) gene. Autonomic nervous system dysfunction with a predominance of the sympathetic nervous system (SNS) over the parasympathetic nervous system (PSNS) is reported in RTT, along with exercise fatigue and increased sudden death risk. The aim of the present study was to test the feasibility of a continuous 24 h non-invasive home monitoring of the biological vitals (biovitals) by an innovative wearable sensor device in pediatric and adolescent/adult RTT patients. Methods: A total of 10 female patients (mean age 18.3 ± 9.4 years, range 4.7-35.5 years) with typical RTT and MECP2 pathogenic variations were enrolled. Clinical severity was assessed by validated scales. Heart rate (HR), respiratory rate (RR), and skin temperature (SkT) were monitored by the YouCare Wearable Medical Device (Accyourate Group SpA, L'Aquila, Italy). The average percentage of maximum HR (HRmax%) was calculated. Heart rate variability (HRV) was expressed by consolidated time-domain and frequency-domain parameters. The HR/LF (low frequency) ratio, indicating SNS activation under dynamic exercise, was calculated. Simultaneous continuous measurement of indoor air quality variables was performed and the patients' contributions to the surrounding water vapor partial pressure [PH2O (pt)] and carbon dioxide [PCO2 (pt)] were indirectly estimated. Results: Of the 6,559.79 h of biovital recordings, 5051.03 h (77%) were valid for data interpretation. Sleep and wake hours were 9.0 ± 1.1 h and 14.9 ± 1.1 h, respectively. HRmax % [median: 71.86% (interquartile range 61.03-82%)] and HR/LF [median: 3.75 (interquartile range 3.19-5.05)] were elevated, independent from the wake-sleep cycle. The majority of HRV time- and frequency-domain parameters were significantly higher in the pediatric patients (p ≤ 0.031). The HRV HR/LF ratio was associated with phenotype severity, disease progression, clinical sleep disorder, subclinical hypoxia, and electroencephalographic observations of multifocal epileptic activity and general background slowing. Conclusion: Our findings indicate the feasibility of a continuous 24-h non-invasive home monitoring of biovital parameters in RTT. Moreover, for the first time, HRmax% and the HR/LF ratio were identified as potential objective markers of fatigue, illness severity, and disease progression.

A highly stretchable smart dressing for wound infection monitoring and treatment.

Smart dressings integrated with bioelectronics have attracted considerable attention and become promising solutions for skin wound management. However, due to the mechanical distinction between human body and the interface of electronics, previous smart dressings often suffered obvious degradation in electrical performance when attached to the soft and curvilinear wound sites. Here, we report a stretchable dressing integrated with temperature and pH sensor for wound status monitoring, as well as an electrically controlled drug delivery system for infection treatment. The wound dressing was featured with the deployment of liquid metal for seamless connection between rigid electrical components and gold particle-based electrodes, achieving a stretchable soft-hard interface. Stretching tests showed that both the sensing system and drug delivery system exhibited good stretchability and long-term stable conductivity with the resistance change rate less than 6 % under 50 % strain. Animal experiments demonstrated that the smart dressing was capable of detecting bacterial infection via the biomarkers of temperature and pH value and the infection factors of wound were significantly improved with therapy through electrically controlled antibiotics releasing. This proof-of-concept prototype has potential to significantly improve management of the wound, especially those with dynamic strain.

Reliability, interrelationships, and minimal detectable changes of strength and power metrics among well-trained rugby sevens players.

Despite the importance of strength and power in rugby skills and match outcomes, there exists a noticeable gap in the measurement consistency and estimation of a true change of typical assessments designed to assess these qualities. To address this gap, we investigated the between-session reliability, interrelationships, and minimal detectable changes (MDC) of commonly used strength and power measures in team sports. Sixteen national-level rugby 7 s players were tested on two occasions, one week apart. Both the best and average (of 2-3 trials) peak force, peak power, height, distance, and/or strength indices during countermovement jump (CMJ), drop jump (DJ), isometric mid-thigh pull (IMTP), plyometric push-up (PPU), and standing long jump (SLJ) were obtained. Furthermore, one-repetition maximum (1RM) strength for bench press and back squat, reactive strength index, and dynamic strength index were also determined. Reliability was assessed using intraclass correlation coefficients (ICC) and coefficients of variation (CV), and used for MDC calculations, and interrelationships between variables were determined using correlation coefficients. Reliability was excellent for bench press, back squat, and SLJ (ICCs > 0.91); high to excellent for IMTP peak force, all CMJ, and DJ (except best DJ height and contact time), and PPU peak force parameters (ICCs > 0.78), with < 10% CVs (except PPU peak power). MDCs were generally smaller for average than best values. Large to very large relationships (r = 0.60 to 0.85) were observed between bench press, back squat, and IMTP with selected parameters of CMJ and PPU (p < 0.05), but not in DJ and SLJ. In conclusion, selected measures of strength and power displayed high to excellent reproducibility, with average values (rather than best) offering more stable assessments, and "smaller" MDCs. Based upon the relationships, it can be inferred that maximising strength would likely contribute to enhanced explosive performance.

A Mixed-Method Analytical Cross-Sectional Research of Person-Centered Learning Behaviors Among Adolescent and Adult Learners.

Background In their academic lives, students progress from the stage of primary learning to the stage of adolescent learning and then to the stage of adult learning. At every step of learning, learners display particular learning habits, which must be mapped out to maximize learning. Objectives The objective of the present study is to evaluate the person-centered behaviors that influence learning among learners in adolescent and adult age groups by employing a learning behavior questionnaire that has been previously validated. Material and methods A cross-sectional study in which 944 participants were enrolled, including 456 adolescents from English-medium schools (aged 11 to 16 years) and 488 adults from a health professional institute (aged 18 to 23 years). The validated learning behavior questionnaire, which study participants rated on a scale of 0, 1, and 2, served as the study's quantitative component. The focus group discussion that was held for a group of adult and teenage students comprised the study's qualitative component. Using STATA-14 software (StataCorp LLC, College Station, USA), all of the responses were tallied and statistically examined. Results  The mean scores of person-centered learning behaviors were significantly higher for learners in the adult age group than for learners in the adolescent age group. The findings of the component, which was qualitative in nature, were consistent with the findings of the learning behavior questionnaire analysis. For both adults and adolescents, the difference in mean person-centered learning scores was statistically negligible at a 5% level of significance (p=0.415 and p=0.368, respectively). Conclusion The study's checklist, which is self-monitoring in nature, may aid in the evaluation of learning behaviors and make it simpler for adult and adolescent learners to establish excellent learning habits.

A Case of Adult-Onset Still's Disease With Positive Antinuclear Antibodies and Positive Antineutrophil Cytoplasmic Antibodies.

Adult-onset Still's disease (AOSD) is a rare autoinflammatory disease characterized by nonspecific symptoms such as fever, maculopapular rash, and arthralgias. The exact etiology and pathogenesis remain unclear despite advancements in medical science. Diagnosis is typically established using the Yamaguchi criteria, which include a negative antinuclear antibody (ANA) test as one of the minor criteria. However, some patients with AOSD exhibit positive ANA and even positive antineutrophil cytoplasmic antibodies (ANCA), complicating the diagnostic process. We present the case of a 19-year-old Asian woman of Yakut ethnicity who initially presented with symptoms resembling an upper respiratory tract infection. Laboratory tests revealed the presence of both ANA and ANCA. The diagnosis of AOSD was confirmed based on clinical presentation and the Yamaguchi criteria. Subsequent pulse therapy with prednisolone resulted in significant clinical improvement and a one-year remission. A review of the literature revealed that simultaneous ANCA and ANA positivity in AOSD has not been previously reported. Follow-up over 12 months showed no evidence of other autoimmune or autoinflammatory diseases, suggesting that the positive ANA and ANCA results may be either false positives or atypical laboratory manifestations in AOSD, which should be considered in the diagnosis.

The impact of DNA extraction on the quantification of Legionella, with implications for ecological studies.

Monitoring the levels of opportunistic pathogens in drinking water is important to plan interventions and understand the ecological niches that allow them to proliferate. Quantitative PCR is an established alternative to culture methods that can provide a faster, higher-throughput, and more precise enumeration of the bacteria in water samples. However, PCR-based methods are still not routinely applied for Legionella monitoring, and techniques, such as DNA extraction, differ notably between laboratories. Here, we quantify the impact that DNA extraction methods had on downstream PCR quantification and community sequencing. Through a community science campaign, we collected 50 water samples and corresponding shower hoses, and compared two commonly used DNA extraction methodologies to the same biofilm and water phase samples. The two methods showed clearly different extraction efficacies, which were reflected in both the quantity of DNA extracted and the concentrations of Legionella enumerated in both the matrices. Notably, one method resulted in higher enumeration in nearly all samples by about one order of magnitude and detected Legionella in 21 samples that remained undetected by the other method. 16S rRNA amplicon sequencing revealed that the relative abundance of individual taxa, including sequence variants of Legionella, significantly varied depending on the extraction method employed. Given the implications of these findings, we advocate for improvement in documentation of the performance of DNA extraction methods used in drinking water to detect and quantify Legionella, and characterize the associated microbial community.IMPORTANCEMonitoring for the presence of the waterborne opportunistic pathogen Legionella is important to assess the risk of infection and plan remediation actions. While monitoring is traditionally carried on through cultivation, there is an ever-increasing demand for rapid and high-throughput molecular-based approaches for Legionella detection. This paper provides valuable insights on how DNA extraction affects downstream molecular analysis such as the quantification of Legionella through droplet digital PCR and the characterization of natural microbial communities through sequencing analysis. We analyze the results from a risk-assessment, legislative, and ecological perspective, showing how initial DNA processing is an important step to take into account when shifting to molecular-based routine monitoring and discuss the central role of consistent and detailed reporting of the methods used.

Proactive Therapeutic Drug Monitoring Is Associated With Increased Drug Persistence in Patients With Inflammatory Bowel Disease Treated With Intravenous Vedolizumab.

BACKGROUND: There are limited data regarding therapeutic drug monitoring (TDM) of non-anti-tumor necrosis factor therapy in inflammatory bowel disease (IBD). This study aimed to evaluate the efficacy of proactive TDM in IBD patients treated with intravenous (iv) vedolizumab (VDZ). METHODS: This single-center retrospective cohort study included consecutive IBD patients treated with maintenance iv VDZ therapy undergoing TDM from November 2016 to March 2023. Patients were followed through June 2023 and were divided in to 2 groups: those who had at least 1 proactive TDM vs those who underwent only reactive TDM. A survival analysis was performed to evaluate drug persistence, defined as no need for drug discontinuation due to loss of response, serious adverse event, or an IBD-related surgery. RESULTS: The study population consisted of 94 patients (proactive TDM, n = 72) with IBD (ulcerative colitis, n = 53). Patients undergoing at least 1 proactive TDM compared with patients having only reactive TDM demonstrated a higher cumulative probability of drug persistence (Log-rank P < .001). In multivariable Cox proportional hazard regression analysis, at least 1 proactive TDM was the only factor associated with drug persistence (hazard ratio, 14.3; 95% confidence interval [CI], 3.8-50; P < .001). A ROC analysis identified a VDZ concentration of 12.5 µg/mL as the optimal drug concentration threshold associated with drug persistence (area under the ROC curve: 0.691; 95% CI, 0.517-0.865; P = .049). CONCLUSION: In this single-center retrospective study reflecting real-life clinical practice, proactive TDM was associated with increased drug persistence in patients with IBD treated with iv VDZ.

There are limited data regarding therapeutic drug monitoring (TDM) of non-anti-tumor necrosis factor therapy in inflammatory bowel disease (IBD). We found that proactive TDM was associated with drug persistence in patients with IBD treated with vedolizumab. Moreover, a vedolizumab concentration of 12.5 µg/mL was identified as the optimal drug concentration threshold associated with drug persistence.

Inequalities in Access to Diabetes Technologies in Children with Type 1 Diabetes: A Multicenter, Cross-sectional Study from Türkiye.

Objective: To determine inequalities in access to diabetes technologies and the effect of socioeconomic factors on families with children with type 1 diabetes. Methods: In this multicenter cross-sectional study, parents of children with type 1 diabetes completed a questionnaire about household sociodemographic characteristics, latest HbA1c values, continuous glucose monitoring (CGM) and insulin pump use of children, the education and working status of parents. These characteristics were compared between technology use (only-CGM, only-pump, CGM+pump, no technology use). Results: Among 882 families, only-CGM users, only-pump users, and CGM+pump users compared with no technology users, adjusting for age, sex, region, education levels, number of working parents, and household income. Children living in the least developed region had lower odds of having only-CGM (OR=0.20, 95%CI 0.12-0.34) and having CGM+pump (OR=0.07, 95%CI 0.03-0.22) compared with those living in the most developed region. Children with parents who had not finished high school had lower odds of having only-CGM (Mothers: OR=0.36, 95%CI 0.19-0.66; fathers: OR=0.32, 95%CI 0.18-0.60) or both CGM+pump (OR=0.27, 95%CI 0.11-0.64; fathers: OR=0.34, 95%CI 0.15-0.79) rather than no-technology compared to children whose parents has a university degree. Every $840 increase in the household income increased the odds by 5% for having only-CGM (OR=1.05, 95%CI 1.02-1.09) and CGM+pump (OR=1.05, 95%CI 1.01-1.08). Conclusion: Socioeconomic factors such as education, regions, and income were associated with inequality in access to technologies. The inequalities are more prominent in access to CGM while CGM had a bigger contribution to glycemic control.

Evaluation and clinical application of a bracketing calibration-based isotope dilution liquid chromatography-tandem mass spectrometry candidate reference measurement procedure for serum theophylline.

A candidate reference measurement procedure (RMP) for serum theophylline via isotope dilution liquid chromatography-tandem mass spectrometry (LC-MS/MS) was developed. With a single-step precipitation pretreatment and a 6-min gradient elution, the method achieved baseline separation of theophylline and its analogs on a C18-packed column. A bracketing calibration method was used to ensure repeatable signal intensity and high measurement precision. The intra-assay and inter-assay imprecisions were 1.06%, 0.84%, 0.72% and 0.47%, 0.41%, 0.25% at concentrations of 4.22 µg/mL (23.40 µmol/L), 8.45 µg/mL (46.90 µmol/L), and 15.21 µg/mL (84.43 µmol/L), respectively. Recoveries ranged from 99.35 to 102.34%. The limit of detection (LoD) was 2 ng/mL, and the lowest limit of quantification (LLoQ) was 5 ng/mL. The linearity range extended from 0.47 to 60 µg/mL (2.61-333.04 µmol/L). No ion suppression and carry-over (< 0.68%) were observed. The relative bias for this candidate RMP that participated in 2023 External Quality Control for Reference Laboratories (RELA) conducted by the International Federation of Clinical Chemistry (IFCC) was within a range of 0.17 to 0.93%. Furthermore, two clinical immunoassay systems were compared with this candidate RMP, demonstrating good correlations. The results of the Trueness Verification Plan indicate significant differences among routine systems, highlighting the need for standardization efforts. The developed candidate RMP for serum theophylline serves as a precise reference baseline for standardizing clinical systems and assigning values to reference materials.

Practical Management of the JAK1 Inhibitor Abrocitinib for Atopic Dermatitis in Clinical Practice: Special Safety Considerations.

Abrocitinib, an oral, once-daily, Janus kinase (JAK) 1-selective inhibitor, is approved for the treatment of adults and adolescents with moderate-to-severe atopic dermatitis (AD). Abrocitinib has shown rapid and sustained efficacy in phase 3 trials and a consistent, manageable safety profile in long-term studies. Rapid itch relief and skin clearance are more likely to be achieved with a 200-mg daily dose of abrocitinib than with dupilumab. All oral JAK inhibitors are associated with adverse events of special interest and laboratory changes, and initial risk assessment and follow-up monitoring are important. Appropriate selection of patients and adequate monitoring are key for the safe use of JAK inhibitors. Here, we review the practical use of abrocitinib and discuss characteristics of patients who are candidates for abrocitinib therapy. In general, abrocitinib may be used in all appropriate patients with moderate-to-severe AD in need of systemic therapy, provided there are no contraindications, e.g., in patients with active serious systemic infections and those with severe hepatic impairment, as well as pregnant or breastfeeding women. For patients aged ≥ 65 years, current long-time or past long-time smokers, and those with risk factors for venous thromboembolism, major adverse cardiovascular events, or malignancies, a meticulous benefit-risk assessment is recommended, and it is advised to start with the 100-mg dose, when abrocitinib is the selected treatment option.

Suppressing the HIFU interference in ultrasound guiding images with a diffusion-based deep learning model.

BACKGROUND AND OBJECTIVES: In ultrasound guided high-intensity focused ultrasound (HIFU) surgery, it is necessary to transmit sound waves at different frequencies simultaneously using two transducers: one for the HIFU therapy and another for the ultrasound imaging guidance. In this specific setting, real-time monitoring of non-invasive surgery is challenging due to severe contamination of the ultrasound guiding images by strong acoustic interference from the HIFU sonication. METHODS: This paper proposed the use of a deep learning (DL) solution, specifically a diffusion implicit model, to suppress the HIFU interference. We considered the images contaminated with HIFU interference as low-resolution images, and those free from interference as high-resolution. While suppressing HIFU interference using the diffusion implicit (HIFU-Diff) model, the task was transformed into generating a high-resolution image through a series of forward diffusion steps and reverse sampling. A series of ex-vivo and in-vivo experiments, conducted under various parameters, were designed to validate the performance of the proposed network. RESULTS: Quantitative evaluation and statistical analysis demonstrated that the HIFU-Diff network achieved superior performance in reconstructing interference-free images under a variety of ex-vivo and in-vivo conditions, compared to the most commonly used notch filtering and the recent 1D FUS-Net deep learning network. The HIFU-Diff maintains high performance with 'unseen' datasets from separate experiments, and its superiority is more pronounced under strong HIFU interferences and in complex in-vivo situations. Furthermore, the reconstructed interference-free images can also be used for quantitative attenuation imaging, indicating that the network preserves acoustic characteristics of the ultrasound images. CONCLUSIONS: With the proposed technique, HIFU therapy and the ultrasound imaging can be conducted simultaneously, allowing for real-time monitoring of the treatment process. This capability could significantly enhance the safety and efficacy of the non-invasive treatment across various clinical applications. To the best of our knowledge, this is the first diffusion-based model developed for HIFU interference suppression.

SAGA: Stability-Aware Gait Analysis in constraint-free environments.

BACKGROUND: Gait abnormality detection is a challenging task in clinical practice. The majority of the current frameworks for gait abnormality detection involve the individual processes of segmentation, feature estimation, feature learning, and similarity assessment. Since each component of these modules is fixed and they are mutually independent, their performance under difficult circumstances is not ideal. We combine those processes into a single framework, a gait abnormality detection system with an end-to-end network. METHODS: It is made up of convolutional neural networks and Deep-Q-learning methods: one for coordinate estimation and the other for classification. In a single joint learning technique that may be trained together, the two networks are modeled. This method is significantly more efficient for use in real life since it drastically simplifies the conventional step-by-step approach. RESULTS: The proposed model is experimented on MATLAB R2020a. While considering into consideration the stability factor, our proposed model attained an average case accuracy of 95.3%, a sensitivity of 96.4%, and a specificity of 94.1%. SIGNIFICANCE: Our paradigm for quantifying gait analysis using commodity equipment will improve access to quantitative gait analysis in medical facilities and rehabilitation centers while also allowing academics to conduct large-scale investigations for gait-related disorders. Numerous experimental findings demonstrate the effectiveness of the proposed strategy and its ability to provide cutting-edge outcomes.

Characterisation of a microelectrochemical biosensor for real-time detection of brain extracellular d-serine.

A modified development protocol and concomitant characterisation of a first generation biosensor for the detection of brain extracellular d-serine is reported. Functional parameters important for neurochemical monitoring, including sensor sensitivity, O2 interference, selectivity, shelf-life and biocompatibility were examined. Construction and development involved the enzyme d-amino acid oxidase (DAAO), utilising a dip-coating immobilisation method employing a new extended drying approach. The resultant Pt-based polymer enzyme composite sensor achieved high sensitivity to d-serine (0.76 ± 0.04 nA mm-2. µM-1) and a low µM limit of detection (0.33 ± 0.02 µM). The in-vitro response time was within the solution stirring time, suggesting potential sub-second in-vivo response characteristics. Oxygen interference studies demonstrated a 1 % reduction in current at 50 µM O2 when compared to atmospheric O2 levels (200 µM), indicating that the sensor can be used for reliable neurochemical monitoring of d-serine, free from changes in current associated with physiological O2 fluctuations. Potential interference signals generated by the principal electroactive analytes present in the brain were minimised by using a permselective layer of poly(o-phenylenediamine), and although several d-amino acids are possible substrates for DAAO, their physiologically relevant signals were small relative to that for d-serine. Additionally, changing both temperature and pH over possible in vivo ranges (34-40 °C and 7.2-7.6 respectively) resulted in no significant effect on performance. Finally, the biosensor was implanted in the striatum of freely moving rats and used to monitor physiological changes in d-serine over a two-week period.

Prediction of heart failure events based on physiologic sensor data in HINODE defibrillator patients.

AIMS: Hospitalizations are common in patients with heart failure and are associated with high mortality, readmission and economic burden. Detecting early signs of worsening heart failure may enable earlier intervention and reduce hospitalizations. The HeartLogic algorithm is designed to predict worsening heart failure using diagnostic data from multiple device sensors. The main objective of this analysis was to evaluate the sensitivity of the HeartLogic alert calculation in predicting worsening heart failure events (HFEs). We also evaluated the false positive alert rate (FPR) and compared the incidence of HFEs occurring in a HeartLogic alert state to those occurring out of an alert state. METHODS: The HINODE study enrolled 144 patients (81 ICD and 63 CRT-D) with device sensor data transmitted via a remote monitoring system. HeartLogic alerts were then retrospectively simulated using relevant sensor data. Clinicians and patients were blinded to calculated alerts. Reported adverse events with HF symptoms were adjudicated and classified by an independent HFE committee. Sensitivity was defined as the ratio of the number of detected usable HFEs (true positives) to the total number of usable HFEs. A false positive alert was defined as an alert with no usable HFE between the alert onset date and the alert recovery date plus 30 days. The patient follow-up period was categorized as in alert state or out of alert state. The event rate ratio was the HFE rate calculated in alert to out of alert. RESULTS: The patient cohort was 79% male and had an average age of 68 ± 12 years. This analysis yielded 244 years of follow-up data with 73 HFEs from 37 patients. A total of 311 HeartLogic alerts at the nominal threshold (16) occurred across 106 patients providing an alert rate of 1.27 alerts per patient-year. The HFE rate was 8.4 times greater while in alert compared with out of alert (1.09 vs. 0.13 events per patient-year; P < 0.001). At the nominal alert threshold, 80.8% of HFEs were detected by a HeartLogic alert [95% confidence interval (CI): 69.9%-89.1%]. The median time from first true positive alert to an adjudicated clinical HFE was 53 days. The FPR was 1.16 (95% CI: 0.98-1.38) alerts per patient-year. CONCLUSIONS: Results suggest that signs of worsening HF can be detected successfully with remote patient follow-up. The use of HeartLogic may predict periods of increased risk for HF or clinically significant events, allowing for early intervention and reduction of hospitalization in a vulnerable patient population.

Prevalence, Antimicrobial Resistance, and Diversity of Campylobacter Isolated from U.S. Goat Feces: 2019 NAHMS Survey.

Goats are often asymptomatic carriers of Campylobacter, including the foodborne pathogen Campylobacter jejuni. Infections can have significant and economically detrimental health outcomes in both humans and animals. The primary objective of this study was to estimate the prevalence of Campylobacter in U.S. goat herds. Campylobacter species were isolated from 106 of 3,959 individual animals and from 42 of 277 goat operations that participated in fecal sample collection as part of the National Animal Health Monitoring System Goat 2019 study. Weighted animal-level prevalence was 2.3% (SE = 0.5%) and operation prevalence was 13.0% (SE = 3.2%). Animal-level prevalence ranged widely from 0 to 70.0%, however, 52.4% of positive operations (22/42) had only a single isolate. C. jejuni was the most frequently isolated species (68.9%; 73/106), followed by C. coli (29.3%, 31/106). A total of 46.2% (36/78) of viable isolates were pan-susceptible to 8 antimicrobials. Resistance to tetracycline (TET) was observed in 44.9% (35/78) of isolates, while 12.8% (10/78) were resistant to ciprofloxacin (CIP) and nalidixic acid (NAL). Among all isolates, a single resistance profile CIP-NAL-TET was observed in 3.8% (3/78) of isolates. A total of 35 unique sequence types (STs) were identified, 11 of which are potentially new. Multiple C. jejuni STs were observed in 48.1% (13/27) of positive operations. Goats with access to surface water, operations reporting antibiotics in the feed or water (excluding ionophores and coccidiostats), and operations reporting abortions and without postabortion management tasks had significantly greater odds of being Campylobacter positive. This snapshot of the U.S. goat population enriches the limited pool of knowledge on Campylobacter species presence in U.S. goats.

Quantifying lumbar mobility using a single tri-axial accelerometer.

Background: Lumbar mobility is regarded as important for assessing and managing low back pain (LBP). Inertial Measurement Units (IMUs) are currently the most feasible technology for quantifying lumbar mobility in clinical and research settings. However, their gyroscopes are susceptible to drift errors, limiting their use for long-term remote monitoring. Research question: Can a single tri-axial accelerometer provide an accurate and feasible alternative to a multi-sensor IMU for quantifying lumbar flexion mobility and velocity? Methods: In this cross-sectional study, 18 healthy adults performed nine repetitions of full spinal flexion movements. Lumbar flexion mobility and velocity were quantified using a multi-sensor IMU and just the tri-axial accelerometer within the IMU. Correlations between the two methods were assessed for each percentile of the lumbar flexion movement cycle, and differences in measurements were modelled using a Generalised Additive Model (GAM). Results: Very high correlations (r > 0.90) in flexion angles and velocities were found between the two methods for most of the movement cycle. However, the accelerometer overestimated lumbar flexion angle at the start (-4.7° [95 % CI -7.6° to -1.8°]) and end (-4.8° [95 % CI -7.7° to -1.9°]) of movement cycles, but underestimated angles (maximal difference of 4.3° [95 % CI 1.4° to 7.2°]) between 7 % and 92 % of the movement cycle. For flexion velocity, the accelerometer underestimated at the start (16.6°/s [95%CI 16.0 to 17.2°/s]) and overestimated (-12.3°/s [95%CI -12.9 to -11.7°/s]) at the end of the movement, compared to the IMU. Significance: Despite the observed differences, the study suggests that a single tri-axial accelerometer could be a feasible tool for continuous remote monitoring of lumbar mobility and velocity. This finding has potential implications for the management of LBP, enabling more accessible and cost-effective monitoring of lumbar mobility in both clinical and research settings.

Development of a top-down MS assay for specific identification of human periostin isoforms.

Periostin is a matricellular protein encoded by the POSTN gene that is alternatively spliced to produce ten different periostin isoforms with molecular weights ranging from 78 to 91 kDa. It is known to promote fibrillogenesis, organize the extracellular matrix, and bind integrin-receptors to induce cell signaling. As well as being a key component of the wound healing process, it is also known to participate in the pathogenesis of different diseases including atopic dermatitis, asthma, and cancer. In both health and disease, the functions of the different periostin isoforms are largely unknown. The ability to precisely determine the isoform profile of a given human sample is fundamental for characterizing their functional significance. Identification of periostin isoforms is most often carried out at the transcriptional level using RT-PCR based approaches, but due to high sequence homogeneity, identification on the protein level has always been challenging. Top-down proteomics, where whole proteins are measured by mass spectrometry, offers a fast and reliable method for isoform identification. Here we present a fully developed top-down mass spectrometry assay for the characterization of periostin splice isoforms at the protein level.