Performance of adenosine deaminase in synovial fluid for the diagnosis of tuberculous arthritis: A systematic review and meta-analysis / Rendimiento de la adenosina desaminasa en el líquido sinovial para el diagnóstico de la artritis tuberculosa: una revisión sistemática y metaanálisis

Objectives: Adenosine deaminase (ADA) activity has shown good performance in diagnosing pleural, peritoneal, and meningeal tuberculosis. This meta-analysis aimed to evaluate the performance of measuring ADA activity in synovial fluid for the early diagnosis of joint tuberculosis. Methods: We searched published information in MEDLINE, Embase, Cochrane Library, Web of Science, and MedRxiv databases, as well as unpublished information in the American College of Rheumatology and European League Against Rheumatism for conference abstracts (2012–2021). We also scanned the reference lists of articles. Two reviewers independently applied the criteria for selection, assessed quality, and extracted data (PROSPERO number CRD42021284472). Results: Seven independent studies (N=305 subjects) that compared ADA activity in synovial fluid with a composite reference diagnostic method for tuberculosis were included. Overall, the risk of bias was judged low. Studies were classified as high quality (n=3; 148 subjects) and low quality (n=4; 157 subjects). Pooled sensitivity and specificity of ADA activity was 94% (95% confidence interval [CI], 0.89–98; I2=23%) and 88% (95% CI, 83–92; I2=83%), respectively. The random-effects model for pooled diagnostic Odds ratio was 67.1 (95%CI, 20.3–222.2; I2=30%). The receiver operating characteristic curve area was 0.96 (95% CI, 0.92–0.99). Meta-regression did not identify the quality of the study, country of publication, or the type of assay as a source of heterogeneity. Conclusions: Measuring ADA activity in synovial fluid demonstrates good performance for the early diagnosis of joint tuberculosis.(AU)

Objetivos: La actividad de la adenosina desaminasa (ADA) ha mostrado un buen desempeño en el diagnóstico de la tuberculosis pleural, peritoneal y meníngea. Este metaanálisis tuvo como objetivo evaluar el rendimiento de la medición de la actividad de la ADA en el líquido sinovial para el diagnóstico precoz de la tuberculosis articular. Métodos: Se realizaron búsquedas de resúmenes de congresos en la información publicada en las bases de datos MEDLINE, Embase, Cochrane Library, Web of Science y MedRxiv, así como en información no publicada en el American College of Rheumatology y la European League Against Rheumatism (2012-2021). También se escanearon las listas de referencias de los artículos. Dos revisores aplicaron de forma independiente los criterios de selección, evaluaron la calidad y extrajeron los datos (número PROSPERO CRD42021284472). Resultados: Se incluyeron siete estudios independientes (n=305 sujetos) que compararon la actividad de la ADA en el líquido sinovial con un método diagnóstico compuesto de referencia para la tuberculosis. En general, el riesgo de sesgo se consideró bajo. Los estudios se clasificaron como de alta calidad (n=3; 148 sujetos) y de baja calidad (n=4; 157 sujetos). La sensibilidad y la especificidad agrupadas de la actividad de la ADA fueron del 94% (intervalo de confianza [IC] del 95%: 0,89-98; I2=23%) y del 88% (IC95%: 83-92; I2=83%), respectivamente. El modelo de efectos aleatorios para el odds ratio diagnóstico agrupado fue de 67,1 (IC95%: 20,3-222,2; I2=30%). El área de la curva característica de operación del receptor fue de 0,96 (IC95%: 0,92-0,99). La metarregresión no identificó la calidad del estudio, el país de publicación o el tipo de ensayo como fuente de heterogeneidad.Conclusiones: La medición de la actividad de ADA en el líquido sinovial demuestra un buen rendimiento para el diagnóstico precoz de la tuberculosis articular.(AU)

Performance of adenosine deaminase in synovial fluid for the diagnosis of tuberculous arthritis: A systematic review and meta-analysis.

OBJECTIVES: Adenosine deaminase (ADA) activity has shown good performance in diagnosing pleural, peritoneal, and meningeal tuberculosis. This meta-analysis aimed to evaluate the performance of measuring ADA activity in synovial fluid for the early diagnosis of joint tuberculosis. METHODS: We searched published information in MEDLINE, Embase, Cochrane Library, Web of Science, and MedRxiv databases, as well as unpublished information in the American College of Rheumatology and European League Against Rheumatism for conference abstracts (2012-2021). We also scanned the reference lists of articles. Two reviewers independently applied the criteria for selection, assessed quality, and extracted data (PROSPERO number CRD42021284472). RESULTS: Seven independent studies (N=305 subjects) that compared ADA activity in synovial fluid with a composite reference diagnostic method for tuberculosis were included. Overall, the risk of bias was judged low. Studies were classified as high quality (n=3; 148 subjects) and low quality (n=4; 157 subjects). Pooled sensitivity and specificity of ADA activity was 94% (95% confidence interval [CI], 0.89-98; I2=23%) and 88% (95% CI, 83-92; I2=83%), respectively. The random-effects model for pooled diagnostic Odds ratio was 67.1 (95%CI, 20.3-222.2; I2=30%). The receiver operating characteristic curve area was 0.96 (95% CI, 0.92-0.99). Meta-regression did not identify the quality of the study, country of publication, or the type of assay as a source of heterogeneity. CONCLUSIONS: Measuring ADA activity in synovial fluid demonstrates good performance for the early diagnosis of joint tuberculosis.

A task force for diagnosis and treatment of people with Alzheimer's disease in Latin America.

Alzheimer's disease (AD) represents a substantial burden to patients, their caregivers, health systems, and society in Latin America and the Caribbean (LAC). This impact is exacerbated by limited access to diagnosis, specialized care, and therapies for AD within and among nations. The region has varied geographic, ethnic, cultural, and economic conditions, which create unique challenges to AD diagnosis and management. To address these issues, the Americas Health Foundation convened a panel of eight neurologists, geriatricians, and psychiatrists from Argentina, Brazil, Colombia, Ecuador, Guatemala, Mexico, and Peru who are experts in AD for a three-day virtual meeting to discuss best practices for AD diagnosis and treatment in LAC and create a manuscript offering recommendations to address identified barriers. In LAC, several barriers hamper diagnosing and treating people with dementia. These barriers include access to healthcare, fragmented healthcare systems, limited research funding, unstandardized diagnosis and treatment, genetic heterogeneity, and varying social determinants of health. Additional training for physicians and other healthcare workers at the primary care level, region-specific or adequately adapted cognitive tests, increased public healthcare insurance coverage of testing and treatment, and dedicated search strategies to detect populations with gene variants associated with AD are among the recommendations to improve the landscape of AD.

Development and Validation of a Machine Learning Approach for Automated Severity Assessment of COVID-19 Based on Clinical and Imaging Data: Retrospective Study.

BACKGROUND: COVID-19 has overwhelmed health systems worldwide. It is important to identify severe cases as early as possible, such that resources can be mobilized and treatment can be escalated. OBJECTIVE: This study aims to develop a machine learning approach for automated severity assessment of COVID-19 based on clinical and imaging data. METHODS: Clinical data-including demographics, signs, symptoms, comorbidities, and blood test results-and chest computed tomography scans of 346 patients from 2 hospitals in the Hubei Province, China, were used to develop machine learning models for automated severity assessment in diagnosed COVID-19 cases. We compared the predictive power of the clinical and imaging data from multiple machine learning models and further explored the use of four oversampling methods to address the imbalanced classification issue. Features with the highest predictive power were identified using the Shapley Additive Explanations framework. RESULTS: Imaging features had the strongest impact on the model output, while a combination of clinical and imaging features yielded the best performance overall. The identified predictive features were consistent with those reported previously. Although oversampling yielded mixed results, it achieved the best model performance in our study. Logistic regression models differentiating between mild and severe cases achieved the best performance for clinical features (area under the curve [AUC] 0.848; sensitivity 0.455; specificity 0.906), imaging features (AUC 0.926; sensitivity 0.818; specificity 0.901), and a combination of clinical and imaging features (AUC 0.950; sensitivity 0.764; specificity 0.919). The synthetic minority oversampling method further improved the performance of the model using combined features (AUC 0.960; sensitivity 0.845; specificity 0.929). CONCLUSIONS: Clinical and imaging features can be used for automated severity assessment of COVID-19 and can potentially help triage patients with COVID-19 and prioritize care delivery to those at a higher risk of severe disease.

Reproductive biology and population structure of white warehou Seriolella caerulea and silver warehou Seriolella punctata in the austral zone off Chile.

Using an extensive database compiled by scientific observers aboard commercial fishing operations between 1984 and 2014, we describe the maturity and size structures of white warehou Seriolella caerulea and silver warehou Seriolella punctata from by-catch of the trawling industrial fisheries operating in the austral zone off Chile. Macroscopic maturity stages and gonadosomatic (IGS ) index show mature females throughout the year and a pronounced spawning period in both austral autumn and winter seasons, with an IGS peak in July for S. punctata and August for S. caerulea. Reproductive patterns in both species show an extended spawning season (July to September) across the area between 43 and 47° S. Length-mass relationships showed significant differences between sexes in both species, where females reach a larger size. Fork length at 50% maturity was 43.5 cm for S. caerulea and 37.2 cm for S. punctata. Female catch composition is dominated by adult fish (96% for S. caerulea and 86% for S. punctata). Currently, both species are exploited with no assessment and management-decision framework. Therefore, information regarding reproductive biology and demographic traits becomes an important baseline to ensure adequate fisheries management for both species.

Practical Issues Concerning the Approval and Use of Biosimilar Drugs for the Treatment of Multiple Sclerosis in Latin America.

The use of biosimilar drugs for multiple sclerosis (MS) has become widespread in Latin America, with the goal of reducing costs of treatments, promoting the sustainability of healthcare systems, and improving patient access to these therapies. There is currently a need to define and comply with requirements to guarantee the efficacy, safety, and quality of these drugs. Thus, the objective of the present study was to compile up-to-date information from each Latin American country assessed on (a) approval of biosimilar drugs by regulatory agencies; (b) use of biosimilar drugs, pharmacovigilance plans, risk management; and (c) update in the knowledge on different molecules. To do so, a group of experts from Argentina, Bolivia, Brazil, Chile, Colombia, Costa Rica, Ecuador, Mexico, Panama, Peru, Uruguay, and Venezuela met to discuss the current situation regarding good practices and risks associated with the use of biosimilar drugs in their respective countries. Regulation, risk management plans, and pharmacovigilance in the whole continent must guide the strategies on the commercialization and access of biosimilar drugs and copies of complex molecules. Current regulations must be implemented for the registration of biosimilar drug products and complex molecules. It is paramount to ensure that new products follow the best quality standards at all stages beyond being safe and efficient. Uncontrolled interchangeability between original biological and biosimilar should be avoided. Latin America requires the implementation and full use of strong pharmacovigilance programs. National and multinational clinical studies are required to demonstrate the similarity in safety, efficacy, and immunogenicity profiles of complex molecules, as well as biological and biosimilar products. Plain language summary available for this article.

Emotion Recognition Using Smart Watch Sensor Data: Mixed-Design Study.

BACKGROUND: Research in psychology has shown that the way a person walks reflects that person's current mood (or emotional state). Recent studies have used mobile phones to detect emotional states from movement data. OBJECTIVE: The objective of our study was to investigate the use of movement sensor data from a smart watch to infer an individual's emotional state. We present our findings of a user study with 50 participants. METHODS: The experimental design is a mixed-design study: within-subjects (emotions: happy, sad, and neutral) and between-subjects (stimulus type: audiovisual "movie clips" and audio "music clips"). Each participant experienced both emotions in a single stimulus type. All participants walked 250 m while wearing a smart watch on one wrist and a heart rate monitor strap on the chest. They also had to answer a short questionnaire (20 items; Positive Affect and Negative Affect Schedule, PANAS) before and after experiencing each emotion. The data obtained from the heart rate monitor served as supplementary information to our data. We performed time series analysis on data from the smart watch and a t test on questionnaire items to measure the change in emotional state. Heart rate data was analyzed using one-way analysis of variance. We extracted features from the time series using sliding windows and used features to train and validate classifiers that determined an individual's emotion. RESULTS: Overall, 50 young adults participated in our study; of them, 49 were included for the affective PANAS questionnaire and 44 for the feature extraction and building of personal models. Participants reported feeling less negative affect after watching sad videos or after listening to sad music, P<.006. For the task of emotion recognition using classifiers, our results showed that personal models outperformed personal baselines and achieved median accuracies higher than 78% for all conditions of the design study for binary classification of happiness versus sadness. CONCLUSIONS: Our findings show that we are able to detect changes in the emotional state as well as in behavioral responses with data obtained from the smartwatch. Together with high accuracies achieved across all users for classification of happy versus sad emotional states, this is further evidence for the hypothesis that movement sensor data can be used for emotion recognition.

Predation Risk within Fishing Gear and Implications for South Australian Rock Lobster Fisheries.

Depredation of southern rock lobster (Jasus edwardsii) within fishing gear by the Maori octopus (Pinnoctopus cordiformis) has economic and ecological impacts on valuable fisheries in South Australia. In addition, depredation rates can be highly variable resulting in uncertainties for the fishery. We examined how in-pot lobster predation was influenced by factors such as lobster size and sex, season, fishing zone, and catch rate. Using mixed modelling techniques, we found that in-pot predation risk increased with lobster size and was higher for male lobsters. In addition, the effect of catch rate of lobsters on predation risk by octopus differed among fishing zones. There was both a seasonal and a spatial component to octopus predation, with an increased risk within discrete fishing grounds in South Australia at certain times of the year. Information about predation within lobster gear can assist fishery management decision-making, potentially leading to significant reduction in economic losses to the fishery.

Estudio comparativo entre tratamiento antibiótico asociado al lavado y drenaje y unicamente lavado y drenaje en el Departamento de Cirugía del H.H.D.E. Arequipa, 1990 a 1994

Se realizó un análisis retrospectivo de 129 historias clínicas de pacientes que presentaron el diagnóstico de peritonitis generalizada apendicular y que fueron intervenidos quirúrgicamente en el departamento de cirugía del Hospital Regional Honorio Delgado de Arequipa, en el periodo comprendido entre el 1º de enero de 1990 al 31 de diciembre de 1994. Del total de pacientes de peritonitis se encontró predominio del sexo masculino sobre el femenino y las edades más comprendidas estuvieron entre los 16 y 27 años. Recibieron tratamiento antibiótico en su mayoria, encontrando un predominio del sexo masculino entre los que no recibieron tratamiento con antibióticos, así mismo el tiempo de hospitalización en los dos grupos de pacientes fue muy similar. Sin encontrar diferencia estadísticamente significativa. El 56.58 por ciento de pacientes operados por peritonitis generalizada apendicular presentaron complicaciones post-operatorias, siendo la de mayor incidencia la infección de herida operatoria con el 69.86 por ciento seguido del absceso residual, encontrando un mayor porcentaje de estas complicaciones en el grupo de pacientes que sólo recibió lavado y drenaje, pero sin llegar a ser una diferencia estadísticamente significativa. La frecuencia de mortalidad en peritonitis generalizada apendicular fue del 6.21 por ciento siendo la causa de muerte más frecuente el shock séptico. La mayoria de los pacientes estuvieron hospitalizados entre 3 y 12 días representando el 60.46 por ciento, encontrando porcentajes similares en ambos grupos de pacientes sin llegar a existir diferencia estadísticamente significativa