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Purpose: To assess the frequency of dysmobility syndrome (DS) in a group of postmenopausal women, to determine the frequency of fragility fractures in these patients, and to compare the frequency of fragility fractures and other clinical, biochemical, densitometric, and muscle health characteristics between patients with and without DS. Methods: Postmenopausal women aged ≥ 60 years were invited to participate in a muscle health study program in our bone clinic. The diagnosis of DS was considered when at least three of the following factors were present: osteoporosis, ≥1 fall in the preceding year, low muscle mass, slow gait speed, low grip strength, and high-fat mass. The cohort was divided into patients with DS and without DS. Results: The mean age in the study cohort (n = 250) was 70.36± 7.72 years. DS was diagnosed in 77 patients (30.8 %). A history of falls in the preceding year and the prevalence of fragility fractures were more frequent in patients with DS in comparison with the control group (60% vs. 19%, p <0.001 and 42% vs 17%, p <0.001, respectively). Furthermore, the history of fragility fractures was significantly associated with the presence of DS (OR 4.92, 95% CI 2.3-10.4, p <0.001). Discussion: A significant association was found between DS and a history of fragility fractures. Although this new concept needs further investigation, it seems that the identification of various compartments affected by the aging process results in an opportunity to better predict major adverse events in the elderly. (AU)

Propósito: Evaluar la frecuencia del síndrome de dismovilidad (SD) en un grupo de mujeres posmenopáusicas, determinar la frecuencia de fracturas por fragilidad en estas pacientes y comparar la frecuencia de fracturas por fra-gilidad y otras características clínicas, bioquímicas, densitométricas y de salud muscular entre pacientes con y sin SD. Métodos: Se invitó a mujeres posmenopáusicas de edad ≥60 años a participar en un pro-grama de estudio de la salud muscular en nuestra clínica ósea. Se consideró el diagnóstico de SD cuando estaban presentes al menos tres de los siguientes factores: osteoporosis, ≥1 caída en el año anterior, baja masa muscular, velocidad de marcha lenta, baja fuerza de prensión y masa grasa elevada. La cohorte se dividió en pacientes con SD y sin SD. Resultados: La edad media de la cohorte de estudio (n = 250) fue de 70,36± 7,72 años. Se diagnosticó SD en 77 pacientes (30,8%). Los antecedentes de caídas en el año anterior y la prevalencia de fracturas por fragilidad fue-ron más frecuentes en los pacientes con SD en comparación con el grupo de control (60% frente a 19%, p <0,001 y 42% frente a 17%, p <0,001, respectivamente). Además, el ante-cedente de fracturas por fragilidad se asoció significativamente con la presencia de SD (OR 4,92; IC 95% 2,3-10,4; p <0,001). Discusión: Se encontró una asociación significativa entre el SD y los antecedentes de frac-turas por fragilidad. Aunque este nuevo concepto requiere más investigación, parece que la identificación de diversos compartimentos afectados por el proceso de envejecimiento brinda la oportunidad de predecir mejor los principales acontecimientos adversos en los ancianos. (AU)

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Antecedentes. El valor pronóstico de una ergometría positiva en el contexto de imágenes tomográficas de perfusión miocárdica de estrés y reposo (SPECT) normales no está bien establecido. Objetivos. Documentar la incidencia de infarto, muerte y revascularización coronaria en pacientes con una ergometría positiva de riesgo intermedio e imágenes de perfusión SPECT normales, y explorar el potencial valor del puntaje de riesgo de Framingham en la estratificación pronóstica de estos pacientes. Métodos. Cohorte retrospectiva integrada por pacientes que habían presentado síntomas o hallazgos electrocardiográficos compatibles con enfermedad arterial coronaria durante la prueba de esfuerzo, con criterios de riesgo intermedio en la puntuación de Duke y perfusión miocárdica SPECT normal. Fueron identificados a partir de la base de datos del laboratorio de cardiología nuclear del Instituto de Cardiología y Cirugía Cardiovascular de la ciudad de Posadas, Argentina. Resultados. Fueron elegibles 217 pacientes. El seguimiento fue de 3 1,5 años. La sobrevida libre de eventos (muerte,infarto de miocardio no fatal, angioplastia coronaria o cirugía de bypass de arteria coronaria) a uno, tres y cinco años fue significativamente menor (Log-rank test, p= 0,001) en el grupo con puntaje de Framingham alto o muy alto (77, 71y 59 %, respectivamente) que en el grupo de puntaje bajo o intermedio (89, 87 y 83 %). Tomando como referencia a los pacientes con riesgo bajo en el puntaje de Framingham, luego de ajustar por edad, sexo y puntaje de Duke, los pacientes categorizados en los estratos alto y muy alto riesgo del puntaje de Framingham presentaron una incidencia del evento combinado cercana al triple (hazard ratio [HR] 2,81; intervalo de confianza [IC] del 95 % 0,91 a 8,72; p= 0,07 y HR 3,61;IC 95 % 1,23 a 10,56; p= 0,019 respectivamente). Conclusiones. La estimación de riesgo con el puntaje de Framingham sería de ayuda en la estratificación pronóstica de los pacientes con ergometría positiva y SPECT normal. (AU)

Background. The prognostic value of positive exercise testing with normal SPECT myocardial perfusion imaging is not well established. Objectives. To document the incidence of infarction, death, and coronary revascularization in patients with a positive intermediate-risk exercise test and normal SPECT perfusion images and to explore the potential value of the Framingham Risk Score in the prognostic stratification of these patients. Methods. A retrospective cohort comprised patients who presented symptoms or electrocardiographic findings compatible with coronary artery disease during the stress test, with intermediate risk criteria in the Duke score and normal SPECT myocardial perfusion. They were identified from the database of the nuclear cardiology laboratory of the Instituto de Cardiología y Cirugía Cardiovascular of Posadas, Argentina. Results. 217 patients were eligible. Follow-up was 3 1.5 years. Event-free survival (death, non-fatal myocardial infarction, coronary angioplasty, or coronary artery bypass surgery) at one, three, and five years was significantly lower (Log-ranktest, p: 0.001) in the group with a score of Framingham high or very high (77, 71 and 59 %, respectively) than in the lowor intermediate score group (89, 87 and 83 %). Taking as reference the low-risk patients in the Framingham score, after adjusting for age, sex, and Duke score, the patients categorized in the high-risk and very high-risk strata showed about three times higher incidence of the combined event (hazard ratio [HR] 2.81; 95 % confidence interval [CI] 0.91 to 8.72;p=0.07 and HR 3.61; 95 % CI 1.23 to 10.56; p=0.019 respectively). Conclusions. Risk estimation with the Framingham score would be helpful in the prognostic stratification of patients with positive exercise testing and normal SPECT. (AU)

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La evaluación de la perfusión miocárdica con SPECT combina una prueba de esfuerzo (ergometría o estrés farmacológico) junto a imágenes de perfusión con radioisótopos. Este estudio es útil para establecer el diagnóstico de enfermedad arterial coronaria, estratificar el riesgo de infarto y tomar decisiones terapéuticas. Un resultado normal aporta un alto valor predictivo negativo, es decir, una muy baja probabilidad de que el paciente presente eventos cardiovasculares. El hallazgo de signos de isquemia en la ergometría podría poner en jaque el valor predictivo negativo de una perfusión normal. En presencia de este resultado, el paso siguiente es evaluar los predictores de riesgo en la ergometría, el riesgo propio del paciente en función de los antecedentes clínicos y el puntaje cálcico coronario, cuando este se encuentra disponible. Ante la presencia concomitante de otros marcadores de riesgo se sugiere completar la evaluación con un estudio anatómico.El uso de nuevas tecnologías podría mejorar la precisión en la predicción de eventos. (AU)

Assessment of myocardial perfusion with SPECT combines a stress test (ergometry or pharmacological stress) with radioisotope perfusion imaging. This test is helpful to diagnose coronary artery disease, stratify the risk of heart attack, and make therapeutic decisions. A normal result provides a high negative predictive value; therefore, the probability of cardiovascular events is very low. Signs of ischemia on an ergometry could jeopardize the negative predictive value of normal perfusion. In this clinical setting, the next step is to evaluate the risk predictors in the stress test, the individual risk based on the clinical history, and the coronary calcium score when available. Given the simultaneous presence of other risk markers,completing the evaluation with an anatomical study is suggested. The use of new technologies could improve the accuracy of event prediction. (AU)

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Objetivo: Desenvolver uma plataforma virtual de Teleconsulta para atendimento a casos suspeitos de Síndromes Gripais e infecção por COVID-19. Metodologia: Trata-se de um estudo de natureza aplicada, com desenvolvimento de produção tecnológica e inovadora, prospectivo, ecológico, descritivo, de série temporal. A população do estudo foi formada por qualquer pessoa sintomática para Síndromes Gripais por COVID-19, suspeitos ou confirmados, de qualquer local do Brasil. Este estudo foi realizado em duas etapas, a saber: Etapa I: Desenvolvimento da Aplicação para Plataforma de Teleconsulta. Etapa II: atendimento por meio de Teleconsulta de Casos suspeitos de COVID-19 e Sindromes Gripais. A metodologia utilizada para o desenvolvimento da aplicação proposta foi a modelagem por prototipação evolucionária. Resultados: Foram realizados 209 atendimentos na Plataforma de Teleconsulta, sendo 151 (70%) do sexo feminino e 65 (30%) do sexo masculino, com prevalência de idade variando de 20 a 29 anos (41%). Quanto ao risco de infecção por COVID-19, 42 (20%) tinham alto risco, 75 (36%) médio risco e 92 (44%) baixo risco. Os sintomas mais prevalentes foram: secreção nasal ou espirros (53%), dores no corpo (49%), dor de cabeça (47%), dor de garganta (46%), tosse seca (35%), Febre (31%), falta de ar (25%) e diarreia (23%). Inicialmente o teleatendimento foi composto por teletriagem com classificação de risco com base na sintomatologia dos pacientes que foram codificados com pontuações conforme a gravidade do sintoma para formas graves de COVID-19. A classificação de risco categorizou os pacientes em risco baixo (1 a 9 pontos), risco médio (10 a 19 pontos) e risco alto (20 a 36 pontos). Em seguida, a teleconsulta foi agendada conforme disponibilidade do paciente por meio do método SBAR para comunicação efetiva e ao término do atendimento um plano de cuidados com Sistematização da Assistência de Enfermagem ­ SAE era encaminhado ao paciente por meio de WhatsApp ou e-mail. Conclusão: A plataforma de teleconsulta possibilitou a triagem dos pacientes, reduziu as visitas desnecessárias às unidades de emergência, permitiu a avaliação e monitoramento dos casos, bem como o acompanhamento de pacientes ambulatoriais que não necessitam de avaliação presencial.

Objective: To develop a virtual Teleconsultation platform for care of suspected cases of influenza syndromes and infection by COVID-19. Methodology: This is a study of applied nature, with development of technological and innovative production, prospective, ecological, descriptive, time series. The study population was made up of any person symptomatic for COVID-19 influenza syndromes, suspected or confirmed, from any location in Brazil. This study was conducted in two stages, namely: Stage I: Development of the Application for Teleconsultation Platform. Stage II: care through Teleconsultation of suspected cases of COVID-19 and influenza syndromes. The methodology used to develop the proposed application was evolutionary prototyping modeling. Results: There were 209 consultations in the Teleconsultation Platform, 151 (70%) were female and 65 (30%) were male, with prevalence of age ranging from 20 to 29 years (41%). As for the risk of infection by COVID-19, 42 (20%) had high risk, 75 (36%) medium risk and 92 (44%) low risk. The most prevalent symptoms were: nasal discharge or sneezing (53%), body aches (49%), headache (47%), sore throat (46%), dry cough (35%), fever (31%), shortness of breath (25%), and diarrhea (23%). Initially, the telecare was composed of teletry with risk classification based on the symptomatology of the patients who were coded with scores according to symptom severity for severe forms of COVID-19. The risk classification categorized patients into low risk (1 to 9 points), medium risk (10 to 19 points), and high risk (20 to 36 points). Then, the teleconsultation was scheduled according to the patient's availability through the SBAR method for effective communication and at the end of the service a care plan with Nursing Assistance Systematization - SAE was forwarded to the patient through WhatsApp or e-mail. Conclusion: Teleconsultation platform enabled patient triage, reduced unnecessary visits to emergency units, allowed the evaluation and monitoring of cases, as well as the follow- up of outpatients who do not need face-to-face evaluation.

Objetivo: Desarrollar una plataforma de Teleconsulta virtual para atender casos sospechosos de síndromes gripales e infección por COVID-19. Metodología: Se trata de un estudio aplicado, con desarrollo de producción tecnológica e innovadora, prospectivo, ecológico, descriptivo, con serie de tiempo. La población de estudio estuvo formada por cualquier persona sintomática de síndromes gripales por COVID-19, sospechada o confirmada, de cualquier localidad de Brasil. Este estudio se realizó en dos etapas, a saber: Etapa I: Desarrollo de Aplicaciones para la Plataforma de Teleconsulta. Etapa II: atención mediante teleconsulta de casos sospechosos de COVID-19 y síndromes gripales. La metodología utilizada para el desarrollo de la aplicación propuesta fue el modelado por prototipo evolutivo. Resultados: Se realizaron 209 consultas en la Plataforma de Teleconsulta, 151 (70%) del sexo femenino y 65 (30%) del masculino, con prevalencia de edades entre 20 a 29 años (41%). En cuanto al riesgo de infección por COVID-19, 42 (20%) fueron de alto riesgo, 75 (36%) de riesgo medio y 92 (44%) de bajo riesgo. Los síntomas más prevalentes fueron: secreción nasal o estornudos (53%), dolor de cuerpo (49%), dolor de cabeza (47%), dolor de garganta (46%), tos seca (35%), fiebre (31%), falta de aliento (25%) y diarrea (23%). Inicialmente, la teleasistencia consistía en teleselección con clasificación de riesgo en función de la sintomatología de los pacientes a los que se codificaba con puntuaciones según la gravedad del síntoma para formas graves de COVID-19. La clasificación de riesgo clasificó a los pacientes en riesgo bajo (1 a 9 puntos), riesgo medio (10 a 19 puntos) y riesgo alto (20 a 36 puntos). Luego, se programó la teleconsulta de acuerdo a la disponibilidad del paciente a través del método SBAR para una comunicación efectiva y al final de la atención se remitió al paciente un plan de cuidados con Sistematización de Atención de Enfermería - SAE vía WhatsApp o correo electrónico. Conclusión: La plataforma de teleconsulta posibilitó el triaje de pacientes, redujo las visitas innecesarias a las unidades de emergencia, permitió la evaluación y seguimiento de casos, así como el seguimiento de pacientes ambulatorios que no requieren evaluación presencial.

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Objetivo: mapear los instrumentos para la evaluación del riesgo de lesiones por presión en adultos en situación crítica en una unidad de terapia intensiva; identificar los indicadores de desempeño de los instrumentos y la apreciación de los usuarios con respecto al uso/limitaciones de los instrumentos. Método: scoping review. Para redactar el estudio se utilizó la extensión Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews. La investigación se realizó mediante la herramienta de búsqueda EBSCOhost en 8 bases de datos, resultando 1846 estudios, de los cuales 22 conforman la muestra. Resultados: se identificaron dos grandes grupos de instrumentos: los generalistas [Braden, Braden (ALB), Emina, Norton-MI, RAPS y Waterlow]; y los específicos (CALCULATE, Cubbin & Jackson, EVARUCI, RAPS-ICU, Song & Choi, Suriaidi y Sanada y el índice COMHON). En cuanto al valor predictivo, EVARUCI y CALCULATE mostraron los mejores resultados de indicadores de desempeño. En cuanto a las apreciaciones/limitaciones señaladas por los usuarios, destaca la escala CALCULATE, seguida de la EVARUCI y la RAPS-ICU, aunque aún necesitan ajustes futuros. Conclusión: el mapeo mostró que las evidencias son suficientes para indicar uno o más instrumentos para la evaluación del riesgo de lesiones por presión en adultos críticos en una unidad de cuidados intensivos.

Objective: to map the instruments for risk assessment of pressure ulcers in adults in critical situation in intensive care units; identify performance indicators of the instrument, and the appreciation of users regarding the instruments' use/limitations. Method: a scoping review. We used the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews in the writing of the study. We carried out the searches in the EBSCOhost search tool for 8 databases, resulting in 1846 studies, of which 22 studies compose the sample. Results: we identified two big instrument groups: generalist [Braden, Braden (ALB), Emina, Norton-MI, RAPS, and Waterlow]; and specific (CALCULATE, Cubbin & Jackson, EVARUCI, RAPS-ICU, Song & Choi, Suriaidi and Sanada, and COMHON index). Regarding the predictive value, EVARUCI and CALCULATE presented better results for performance indicators. Concerning appreciation/limitations indicated by users, we highlight the CALCULATE scale, followed by EVARUCI and RAPS-ICU, although they still need future adjustments. Conclusion: the mapping of the literature showed that the evidence is sufficient to indicate one or more instruments for the risk assessment of pressure ulcers for adults in critical situation in intensive care units.

Objetivo: mapear os instrumentos para avaliação do risco de lesões por pressão nos adultos em situação crítica em unidade de cuidados intensivos; identificar os indicadores de desempenho dos instrumentos e a apreciação dos utilizadores quanto ao uso/às limitações dos instrumentos. Método: scoping review. O Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews foi utilizado para a redação do estudo. A pesquisa foi realizada na ferramenta de busca EBSCOhost em oito bases de dados, resultando em 1846 estudos, dos quais 22 compõem a amostra. Resultados: identificaram-se dois grandes grupos de instrumentos: os genéricos [Braden, Braden (ALB), Emina, Norton-MI, RAPS e Waterlow]; e os específicos (CALCULATE, Cubbin & Jackson, EVARUCI, RAPS-ICU, Song & Choi, Suriaidi e Sanada e o índice de COMHON). Quanto ao valor preditivo, a EVARUCI e a CALCULATE apresentaram os melhores resultados de indicadores de desempenho. Em relação à apreciação/às limitações apontadas pelos utilizadores, destacam-se a escala CALCULATE, seguindo-se da EVARUCI e da RAPS-ICU, embora ainda necessitem de ajustes futuros. Conclusão: o mapeamento mostrou que as evidências são suficientes para indicar um ou mais instrumentos para avaliação do risco de lesões por pressão nos adultos em situação crítica em unidade de cuidados intensivos.

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La determinación del porcentaje de pérdida en pacientes lesionados con múltiples secuelas por riesgos de trabajo resulta un verdadero reto para el perito, esto adquiere mayor relevancia cuando en el fuero judicial se pueden presentar discrepancias en los criterios para el uso o no de fórmulas matemáticas para el cálculo. La fórmula de suma combinada, creada por el Médico Forense Víctor Balthazard, no es más que un ordenamiento de una regla de tres que ordena los porcentajes otorgados a cada secuela de mayor a menor para evitar que el porcentaje final sobrepase el 100%, o bien que resulte en un porcentaje mayor que una secuela única puntuada en el baremo y que por gravedad en la intensidad de la misma resulte con un porcentaje menor al calculado por la secuela múltiple y que se ha utilizado en fueros laborales y de seguridad social alrededor del mundo. El Baremo contenido en el Código de Trabajo no establece explícitamente la forma en que se calcula el porcentaje de pérdida por secuelas múltiples, lo cual brinda libertad al perito para utilizar fórmulas, como lo es la fórmula de suma combinada, que permite calcular de forma congruente las pérdidas sucesivas sin sobrepasar a la persona más allá de su capacidad general total del 100% o de otorgar porcentajes mayores a secuelas de mayor gravedad que la suma de las pérdidas por el evento que se está valorando.

The determination of the percentage of loss in injured patients with multiple sequelae due to occupational hazards is a real challenge for the expert, this becomes even more relevant when in the judicial system there may be discrepancies in the criteria for the use or not of mathematical formulas for the calculation. The combined sum formula, created by the Forensic Physician Victor Balthazard, is nothing more than an arrangement of a rule of three that orders the percentages given to each sequel from highest to lowest to avoid that the final percentage exceeds 100%, or that it results in a higher percentage than a single sequel scored in the scale and that due to the severity in the intensity of the same results in a lower percentage than that calculated for the multiple sequel and that has been used in labor and social security courts around the world. The Schedule contained in the Labor Code does not explicitly establish the way in which the percentage of loss for multiple sequelae is calculated, which gives the expert the freedom to use formulas, such as the combined sum formula, which allows a congruent calculation of the successive losses without exceeding the person's total general capacity of 100% or to grant higher percentages to sequelae of greater severity than the sum of the losses for the event being valued.

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OBJECTIVE@#We aimed to assess the feasibility and superiority of machine learning (ML) methods to predict the risk of Major Adverse Cardiovascular Events (MACEs) in chest pain patients with NSTE-ACS.@*METHODS@#Enrolled chest pain patients were from two centers, Beijing Anzhen Emergency Chest Pain Center Beijing Bo'ai Hospital, China Rehabilitation Research Center. Five classifiers were used to develop ML models. Accuracy, Precision, Recall, F-Measure and AUC were used to assess the model performance and prediction effect compared with HEART risk scoring system. Ultimately, ML model constructed by Naïve Bayes was employed to predict the occurrence of MACEs.@*RESULTS@#According to learning metrics, ML models constructed by different classifiers were superior over HEART (History, ECG, Age, Risk factors, & Troponin) scoring system when predicting acute myocardial infarction (AMI) and all-cause death. However, according to ROC curves and AUC, ML model constructed by different classifiers performed better than HEART scoring system only in prediction for AMI. Among the five ML algorithms, Linear support vector machine (SVC), Naïve Bayes and Logistic regression classifiers stood out with all Accuracy, Precision, Recall and F-Measure from 0.8 to 1.0 for predicting any event, AMI, revascularization and all-cause death ( vs. HEART ≤ 0.78), with AUC from 0.88 to 0.98 for predicting any event, AMI and revascularization ( vs. HEART ≤ 0.85). ML model developed by Naïve Bayes predicted that suspected acute coronary syndrome (ACS), abnormal electrocardiogram (ECG), elevated hs-cTn I, sex and smoking were risk factors of MACEs.@*CONCLUSION@#Compared with HEART risk scoring system, the superiority of ML method was demonstrated when employing Linear SVC classifier, Naïve Bayes and Logistic. ML method could be a promising method to predict MACEs in chest pain patients with NSTE-ACS.

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BACKGROUND@#Previous cardiovascular risk prediction models in Japan have utilized prospective cohort studies with concise data. As the health information including health check-up records and administrative claims becomes digitalized and publicly available, application of large datasets based on such real-world data can achieve prediction accuracy and support social implementation of cardiovascular disease risk prediction models in preventive and clinical practice. In this study, classical regression and machine learning methods were explored to develop ischemic heart disease (IHD) and stroke prognostic models using real-world data.@*METHODS@#IQVIA Japan Claims Database was searched to include 691,160 individuals (predominantly corporate employees and their families working in secondary and tertiary industries) with at least one annual health check-up record during the identification period (April 2013-December 2018). The primary outcome of the study was the first recorded IHD or stroke event. Predictors were annual health check-up records at the index year-month, comprising demographic characteristics, laboratory tests, and questionnaire features. Four prediction models (Cox, Elnet-Cox, XGBoost, and Ensemble) were assessed in the present study to develop a cardiovascular disease risk prediction model for Japan.@*RESULTS@#The analysis cohort consisted of 572,971 invididuals. All prediction models showed similarly good performance. The Harrell's C-index was close to 0.9 for all IHD models, and above 0.7 for stroke models. In IHD models, age, sex, high-density lipoprotein, low-density lipoprotein, cholesterol, and systolic blood pressure had higher importance, while in stroke models systolic blood pressure and age had higher importance.@*CONCLUSION@#Our study analyzed classical regression and machine learning algorithms to develop cardiovascular disease risk prediction models for IHD and stroke in Japan that can be applied to practical use in a large population with predictive accuracy.

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BACKGROUND@#Several studies have reported that polygenic risk scores (PRSs) can enhance risk prediction of coronary artery disease (CAD) in European populations. However, research on this topic is far from sufficient in non-European countries, including China. We aimed to evaluate the potential of PRS for predicting CAD for primary prevention in the Chinese population.@*METHODS@#Participants with genome-wide genotypic data from the China Kadoorie Biobank were divided into training ( n = 28,490) and testing sets ( n = 72,150). Ten previously developed PRSs were evaluated, and new ones were developed using clumping and thresholding or LDpred method. The PRS showing the strongest association with CAD in the training set was selected to further evaluate its effects on improving the traditional CAD risk-prediction model in the testing set. Genetic risk was computed by summing the product of the weights and allele dosages across genome-wide single-nucleotide polymorphisms. Prediction of the 10-year first CAD events was assessed using hazard ratios (HRs) and measures of model discrimination, calibration, and net reclassification improvement (NRI). Hard CAD (nonfatal I21-I23 and fatal I20-I25) and soft CAD (all fatal or nonfatal I20-I25) were analyzed separately.@*RESULTS@#In the testing set, 1214 hard and 7201 soft CAD cases were documented during a mean follow-up of 11.2 years. The HR per standard deviation of the optimal PRS was 1.26 (95% CI:1.19-1.33) for hard CAD. Based on a traditional CAD risk prediction model containing only non-laboratory-based information, the addition of PRS for hard CAD increased Harrell's C index by 0.001 (-0.001 to 0.003) in women and 0.003 (0.001 to 0.005) in men. Among the different high-risk thresholds ranging from 1% to 10%, the highest categorical NRI was 3.2% (95% CI: 0.4-6.0%) at a high-risk threshold of 10.0% in women. The association of the PRS with soft CAD was much weaker than with hard CAD, leading to minimal or no improvement in the soft CAD model.@*CONCLUSIONS@#In this Chinese population sample, the current PRSs minimally changed risk discrimination and offered little improvement in risk stratification for soft CAD. Therefore, this may not be suitable for promoting genetic screening in the general Chinese population to improve CAD risk prediction.

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Las medidas de bioseguridad son el conjunto de conductas mínimas a ser adoptadas, a fin de reducir o eliminar los riesgos para el personal, la comunidad y el medio ambiente. Los laboratorios veterinarios manipulan materiales biológicos que pueden suponer riesgos biológicos tanto para los animales como para el hombre, por lo que los profesionales de estos laboratorios están expuestos a una variedad de riesgos relacionados con su trabajo que pueden afectar su salud. El objetivo de este trabajo fue evaluar el riesgo en el control de calidad de las vacunas virales mediante el uso del método BIOGAVAL, una forma cómoda y fiable de evaluar el riesgo de exposición a agentes biológicos. El estudio se realizó en la Unidad Empresarial de Base Control de la Calidad de la Empresa Productora de Vacunas Virales y Bacterianas el cual pertenece a LABIOFAM. La muestra de estudio estuvo conformada por 18 trabajadores, distribuidos en tres áreas. En los resultados obtenidos para valores superiores a 12 del nivel de acción biológica se requiere la adopción de medidas preventivas para reducir la exposición en el caso de Avulavirus, Pestivirus y Coronavirus, mientras que para Alphavirus se requieren acciones correctoras inmediatas ya que representa una situación de riesgo intolerable(AU)

Biosafety measures are the set of minimum behaviors to be adopted, in order to reduce or eliminate risks to personnel, the community and the environment. Veterinary laboratories handle biological materials that can pose biological risks for both animals and humans, so that professionals in these laboratories are exposed to a variety of risks to their health related to their work. The objective of this work was to evaluate the risk in the quality control of viral vaccines through the use of BIOGAVAL method, a convenient and reliable way to assess the risk of exposure to biological agents. The study was carried out in the Base Business Unit Quality Control of the Production Company of Viral and Bacterial Vaccines which belongs to LABIOFAM. The study sample consisted was 18 workers, dispersed in three areas. For values above 12 of the biological action level, preventive measures are required to reduce exposure to Avulavirus, Pestivirus and Coronavirus, while for Alphavirus immediate corrective measures actions are required as it represents an intolerable risk situation(AU)

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Introducción: la mortalidad posoperatoria ha sido el indicador principal de los resultados a corto y mediano plazo en la evaluación de la cirugía cardíaca. Una forma de analizar dicho evento es mediante los modelos de ajuste del riesgo que identifican variables que predicen su ocurrencia. Uno de los más utilizados es el EuroSCORE I que pro-porciona la probabilidad de morir de cada individuo y que está constituido por 18 variables de riesgo. Objetivos: presentar los resultados de la aplicación y la validación del modelo EuroSCORE I en Uruguay entre los años 2003 y 2020. Metodología: inicialmente se desarrolló una validación externa del EuroSCORE I en la población uruguaya adulta tomando como población de referencia la intervenida entre los años 2003 y 2006. Una vez que se validó el EuroSCORE I, este se aplicó prospectivamente durante los años 2007 al 2020 en su versión original y con el ajuste desarrollado con población del período 2003-2006. Resultados: la aplicación del modelo original encontró que hubo 5 años en los que la razón de mortalidad observada y esperada (MO/ME) fue significativamente mayor que 1. En el período 2007-2020 el EuroScore I no calibró en 6 oca-siones, y fue aplicada la versión ajustada en la evaluación de las instituciones de medicina altamente especializada. La aplicación del modelo ajustado mostró una buena calibración para el período 2007-2020, salvo en el año 2013, y mostró una buena discriminación (área bajo la curva ROC) en todo el período evaluado. Conclusiones: las escalas de riesgo son herramientas metodológicas y estadísticas que tienen gran utilidad para la toma de decisiones en salud. Este trabajo tiene como fortaleza el de presentar datos nacionales aplicando un modelo de riesgo ampliamente utilizado en todo el mundo, lo que nos permite comparar nuestros resultados con los obte-nidos a nivel internacional (EuroSCORE I logístico original) y, por otro lado, evaluar la performance comparativa interna a lo largo de un largo período de tiempo (EuroSCORE I logístico ajustado). Para el futuro resta el desafío de comparar estos resultados, ya sea con un modelo propio o con otros internacionales de elaboración más reciente.

Introduction: postoperative mortality has been the main indicator of short- and medium-term results in the eva luation of cardiac surgery. One way to analyze such outcomes is through risk adjustment models that identify varia bles that predict the occurrence. One of the most used is the EuroSCORE I, which provides the probability of death for each individual and is made up of 18 risk variables. Objectives: present the results of the application and validation of the EuroSCORE I model in Uruguay between 2003 and 2020. Methodology: initially, an external validation of the EuroSCORE I was developed in the Uruguayan adult popula tion, taking as reference population the intervened population between 2003 and 2006. Once the EuroSCORE I was validated, it was applied prospectively during the years 2007 to 2020 in its original version and with the adjustment developed with the population of the period 2003 to 2006. Results: the application of the original model found that there were 5 years during which the observed versus ex pected mortality ratio (OM/ME) was significantly greater than 1. In the period 2007 to 2020, the EuroScore I did not calibrate on 6 occasions, the adjusted version being applied in the evaluation of highly specialized medicine institu tions. The application of the adjusted model showed a good calibration for the period 2007-2020 except in the year 2013 and showed good discrimination (area under the ROC curve) throughout the evaluated period. Conclusions: risk scales are methodological and statistical tools that are very useful for decision-making in health care. This work has the strength of presenting national data applying a risk model widely used across the world, which allows it to be compare with results at an international level (original logistical Euroscore I) and, on the other hand, to evaluate the internal comparative performance over long period of time (adjusted logistic Euroscore I). Up next is the challenge of comparing these results either with our own model or with other more recent international ones.

Introdução: a mortalidade pós-operatória tem sido o principal indicador de resultados a curto e médio prazo na avaliação da cirurgia cardíaca. Uma forma de analisar esse evento é por meio de modelos de ajuste de risco que identificam variáveis que predizem a ocorrência do evento. Um dos mais utilizados é o EuroSCORE I, que fornece a probabilidade de morrer para cada indivíduo e é composto por 18 variáveis de risco. Objetivos: apresentar os resultados da aplicação e validação do modelo EuroSCORE I no Uruguai entre os anos de 2003 e 2020. Metodologia: inicialmente, foi realizada uma validação externa do EuroSCORE I na população uruguaia adulta, tomando como referência a população operada entre 2003 e 2006. Uma vez validado o EuroSCORE I, foi aplicado prospectivamente durante os anos de 2007 a 2020 em sua versão original e com o ajuste desenvolvido com a popu lação do período de 2003 a 2006. Resultados: a aplicação do modelo original constatou que houve 5 anos em que a razão de mortalidade observada versus esperada (MO/ME) foi significativamente maior que 1. No período de 2007 a 2020, o EuroScore I não calibrou em 6 ocasiões, sendo a versão ajustada aplicada na avaliação de instituições médicas altamente especializadas. A aplicação do modelo ajustado mostrou uma boa calibração para o período 2007-2020 exceto no ano de 2013 e apre sentou boa discriminação (área sob a curva ROC) em todo o período avaliado. Conclusões: as escalas de risco são ferramentas metodológicas e estatísticas muito úteis para a tomada de decisões em saúde. O ponto forte deste trabalho é apresentar dados nacionais aplicando um modelo de risco amplamente uti lizado em todo o mundo, que permite comparar com resultados a nível internacional (original Logistic Euroscore I) e, por outro lado, avaliar o comparativo interno desempenho durante um longo período de tempo (Euroscore Logístico I ajustado). Para o futuro, fica o desafio de comparar esses resultados, seja com um modelo próprio ou com outros internacionais de elaboração mais recente.

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Introducción: la sepsis precoz es una infección connatal (ICN) invasiva que ocurre en las primeras 72 horas de vida. Producida por la colonización ascendente del tracto genital materno por flora bacteriana gastrointestinal y genitourinaria. Causada principalmente por Streptococcus grupo B y Escherichia coli. El examen físico y pruebas de laboratorio suelen ser poco precisas para el diagnóstico. En la última década, ha aumentado el uso de antibióticos asociados al parto, generando patógenos resistentes y mayor incidencia de ICN por bacterias gram negativas. Objetivo: realizar una revisión de la evidencia sobre los efectos de la implementación de la calculadora de riesgo de sepsis neonatal Kaiser. Metodología: revisión bibliográfica por la plataforma PubMed, realizando la búsqueda con los términos "early onset sepsis or neonatal sepsis", "risk calculator or calculator", "Kaiser", "serial physical examinations". Discusión: la calculadora de riesgo del grupo Kaiser proporciona herramientas para determinar el riesgo y manejar la sospecha de ICN en neonatos, logrando una reducción de antibioticoterapia, resistencia antibiótica y efectos adversos. Es esencial la vigilancia continua para detectar signos de enfermedad, ya que ninguna estrategia puede proporcionar una determinación perfecta del caso y la estrategia óptima sigue sin conocerse.

Background: Early-onset sepsis (EOS) is a culture-proven invasive infection that occurs in the first 72 hours of life. The pathogenesis is primarily ascending colonization by normal maternal gastrointestinal and genitourinary tract bacterial flora. Group B Streptococcus and Escherichia Coli are the most common bacteria involved. Physical examination and laboratory tests are often inaccurate for diagnosis. Universal screening led to an increase in the number of infants exposed to intrapartum antibiotics. This increased percentage raises concern for the development of antimicrobial resistant pathogens and increased incidence of EOS resulting from Gram-negative species. Purpose: the goal is to conduct a review of the evidence on the effects of implementing the Kaiser Neonatal Sepsis Risk Calculator. Methods: bibliographic review by the PubMed platform, performing the search with the terms "early onset sepsis or neonatal sepsis", "risk calculator or calculator", "Kaiser", "serial physical examinations". Discussion: Implementation of Kaiser EOS calculator protocol reduced the proportion of neonates exposed to antibiotics, decreased the number of painful procedures, promoted family bonding and reduced the number of infants requiring transfer to the NICU. Physicians should understand what it does, its limitations, and its results. No strategy can provide perfect case ascertainment, and the most optimal strategy remains undetermined.

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Worldwide, the leading cause of death is cardiovascular disease. The study details the prescription of statins at the Pablo Arturo Suarez Hospital in Ecuador between March 2021 and February 2022 following the ASCVD risk scale of the American College of Cardiology and the American Heart Association. There are 563 people in this cross-sectional and retrospective study: 70% women, 30% men, 93.30% mestizos, 48.10% diabetics, 62.30% hypertensives, and 18.70% smokers. 26.10% of all patients received statins, with simvastatin being the most common (96.60%). The mean cardiovascular risk in the general population was 15.52 ± 14.51%, 44.99% of subjects had a risk lower than 7.50%, and 29% had a risk higher than 20%, with a statistically significant difference (p<0.001) according to sex. The study determined that 58.60% of the population received a statin or an inadequate dosage.

A nivel mundial, la principal causa de muerte es la enfermedad cardiovascular. El estudio detalla la prescripción de estatinas en el Hospital Pablo Arturo Suárez de Ecuador entre marzo de 2021 y febrero de 2022, siguiendo la escala de riesgo ASCVD del Colegio Americano de Cardiología y la Asociación Americana del Corazón. Son 563 personas en este estudio transversal y retrospectivo: 70% mujeres, 30% hombres, 93.30% mestizos, 48.10% diabéticos, 62.30% hipertensos y 18.70% fumadores. El 26.10% de los pacientes recibía estatinas, siendo la simvastatina la más frecuente (96.60%). El riesgo cardiovascular medio en la población general fue de 15.52 ± 14.51%, el 44.99% de los sujetos tenía un riesgo inferior al 7.50%, y el 29% tenía un riesgo superior al 20%, con una diferencia estadísticamente significativa (p<0.001) según el sexo. El estudio determinó que el 58.60% de la población recibía una estatina o una dosis inadecuada.

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Abstract Background The wide range of clinical presentations of acute coronary syndrome (ACS) makes it indispensible to use tools for risk stratification and for appropriate risks management; thus, the use of prognosis scores is recommended in the immediat clinical decision-making. Objective To validate the Global Registry of Acute Coronary Events (GRACE) score as a predictor of in-hospital and 6-month post-discharge mortality in a population diagnosed with ACS. Methods This is a prospective cohort study of consecutive patients diagnosed with ACS between May and December 2018. GRACE scores were calculated, as well as their predictive value for in-hospital and 6-month post-discharge mortality. The validity of the model was assessed by two techniques: discriminative power using the area under the receiver operating characteristic curve (AUC) and goodness-of-fit, using the Hosmer-Lemeshow (HL) test, at the 5% level of significance. Results A total of 160 patients were included, mean age 64 (±10.9) years; of which 60% were men. The risk model showed to have satisfactory ability to predict both in-hospital mortality, with an area under the curve (AUC) of 0.76 (95% confidence interval [CI], 0.57-0.95; p = 0.014), and 6-month post-discharge mortality, with AUC of 0.78 (95%CI, 0.62-0.94), p = 0.002. The HL test indicated good-fit for both models of the GRACE score. Conclusion In this study, the GRACE risk score for predicting mortality was appropriately validated in patients with ACS, with good discriminative power and goodness-of-fit. The results suggest that the GRACE score is appropriate for clinical use in our setting.

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Abstract Background: The risk of sports-related sudden cardiac arrest after COVID-19 infection can be a serious problem. There is an urgent need for evidence-based criteria to ensure patient safety before resuming exercise. Objective: To estimate the pooled prevalence of acute myocardial injury caused by COVID-19 and to provide an easy-to-use cardiovascular risk assessment toolkit prior to resuming sports activities after COVID-19 infection. Methods: We searched the Medline and Cochrane databases for articles on the prevalence of acute myocardial injury associated with COVID-19 infection. The pooled prevalence of acute myocardial injury was calculated for hospitalized patients treated in different settings (non-intensive care unit [ICU], ICU, overall hospitalization, and non-survivors). Statistical significance was accepted for p values <0.05. We propose a practical flowchart to assess the cardiovascular risk of individuals who recovered from COVID-19 before resuming sports activities. Results: A total of 20 studies (6,573 patients) were included. The overall pooled prevalence of acute myocardial injury in hospitalized patients was 21.7% (95% CI 17.3-26.5%). The non-ICU setting had the lowest prevalence (9.5%, 95% CI 1.5-23.4%), followed by the ICU setting (44.9%, 95% CI 27.7-62.8%), and the cohort of non-survivors (57.7% with 95% CI 38.5-75.7%). We provide an approach to assess cardiovascular risk based on the prevalence of acute myocardial injury in each setting. Conclusions: Acute myocardial injury is frequent and associated with more severe disease and hospital admissions. Cardiac involvement could be a potential trigger for exercise-induced clinical complications after COVID-19 infection. We created a toolkit to assist with clinical decision-making prior to resuming sports activities after COVID-19 infection.

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To compare different illness severity scores in predicting mortality risk of extremely low birth weight infants (ELBWI). From January 1st, 2019 to January 1st, 2020, all ELBWI admitted in the Children's Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital and the First Affiliated Hospital of Nanjing Medical University were included in the study. ELBWI with admission age ≥1 h, gestational age ≥37 weeks and incomplete data required for scoring were excluded. The clinical data were collected, neonatal critical illness score (NCIS), score for neonatal acute physiology version Ⅱ (SNAP-Ⅱ), simplified version of the score for neonatal acute physiology perinatal extension (SNAPPE-Ⅱ), clinical risk index for babies (CRIB) and CRIB-Ⅱ were calculated. The scores of the fatal group and the survival group were compared, and the receiver operating characteristic (ROC) curve was used to evaluate the predictive value of the above illness severity scores for the mortality risk of ELBWI. Pearson correlation analysis was used to analyze the correlation between illness scores and birth weight, illness scores and gestational age. A total of 192 ELBWI were finally included, of whom 114 cases survived (survival group) and 78 cases died (fatal group). There were significant differences in birth weight, gestational age and Apgar scores between fatal group and survival group (all <0.01). There were significant differences in NCIS, SNAP-Ⅱ, SNAPPE-Ⅱ, CRIB and CRIB-Ⅱ between fatal group and survival group (all <0.01). The CRIB had a relatively higher predictive value for the mortality risk. Its area under the ROC curve (AUC) was 0.787, the sensitivity was 0.678, the specificity was 0.804, and the Youden index was 0.482. The scores of NCIS, SNAP-Ⅱ, SNAPPE-Ⅱ, CRIB and CRIB-Ⅱ were significantly correlated with birth weight and gestational age (all <0.05). The correlation coefficients of CRIB-Ⅱ and CRIB with birth weight and gestational age were relatively large, and the correlations coefficients of NCIS with birth weight and gestational age were the smallest (0.191 and 0.244, respectively). Among these five illness severity scores, CRIB has better predictive value for the mortality risk in ELBWI. NCIS, which is widely used in China, has relatively lower sensitivity and specificity, and needs to be further revised.

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Risks exist in medicine related fields, which cannot be defined and quantified precisely. It is necessary to adopt a method for the risk assessment of uncertain and fuzzy phenomenon. This paper summarizes the thinking, procedure, advantage and application of fuzzy analytic hierarchy process in the risk assessment in medicine related fields for the purpose of providing reference for its further application.