Comparación entre las calculadoras de riesgo del European Randomized Study for Screening of Prostate Cancer (ERSPC) y Prostate Biopsy Collaborative Group (PBCG): predicción del riesgo de cáncer de próstata clínicamente significativo en una cohorte de pacientes de Argentina / Comparison between the European Randomized Study for Screening of Prostate Cancer (ERSPC) and Prostate Biopsy Collaborative Group (PBCG) risk calculators: Prediction of clinically significant prostate cancer risk in a cohort of patients from Argentina

Objetivo Comparar el desempeño de las calculadoras de riesgo del European Randomised Study for Screening of Prostate Cancer (ERSPC-RC) y el Prostate Biopsy Collaborative Group (PBCG-RC) en predecir el riesgo de presentar cáncer de próstata clínicamente significativo. Material y métodos Retrospectivamente, se identificó a los pacientes que fueron sometidos a biopsia prostática en el Sanatorio Allende Cerro, Ciudad de Córdoba, Argentina, desde enero de 2018 a diciembre de 2021. Se calculó la probabilidad de tener cáncer de próstata con las dos calculadoras por separado y luego se compararon los resultados para establecer cuál de las dos tuvo mejor desempeño. Para esto, se analizaron áreas bajo la curva (ABC). Resultados Se incluyeron 250 pacientes, 140 (56%) presentaron cáncer de próstata, de los cuales 92 (36,8%) tuvieron cáncer de próstata clínicamente significativo (Score de Gleason ≥7). Los pacientes que presentaron cáncer tenían mayor edad, mayor valor de antígeno prostático específico (PSA) y menor tamaño prostático. El ABC para predecir la probabilidad de tener cáncer de próstata clínicamente significativo fue de 0,79 y 0,73 para PBCG-RC y ERSPC-RC, respectivamente (p=0,0084). Conclusión En esta cohorte de pacientes, ambas calculadoras de riesgo de cáncer de próstata mostraron un buen desempeño para predecir el riesgo de cáncer de próstata clínicamente significativo, si bien el PBCG-RC mostró mejor exactitud. (AU)

Objective To compare the performance of the risk calculators of the European Randomized Study for Screening of Prostate Cancer (ERSPC) and the Prostate Biopsy Collaborative Group (PBCG) in predicting the risk of presenting clinically significant prostate cancer. Material and methods Retrospectively, patients who underwent prostate biopsy at Sanatorio Allende Cerro, Ciudad de Córdoba, Argentina, were identified from January 2018 to December 2021. The probability of having prostate cancer was calculated with the two calculators separately and then the results were compared to establish which of the two performed better. For this, areas under the curve (AUC) were analyzed. Results 250 patients were included, 140 (56%) presented prostate cancer, of which 92 (65.71%) had clinically significant prostate cancer (Gleason score ≥7). The patients who presented cancer were older, had a higher prostate-specific antigen (PSA) value, and had a smaller prostate size. The AUC to predict the probability of having clinically significant prostate cancer was 0.79 and 0.73 for PBCG-RC and ERSPC-RC respectively (p=0.0084). Conclusion In this cohort of patients, both prostate cancer risk calculators performed well in predicting clinically significant prostate cancer risk, although the PBCG-RC showed better accuracy. (AU)

Clinical-epidemiological analysis of patients with elevated lipoprotein A in a third level hospital. / Análisis clínico-epidemiológico de pacientes con lipoproteína(a) elevada en un hospital de tercer nivel.

OBJECTIVE: The objective of the study is to describe the clinical and epidemiological characteristics of our patients with elevated Lp(a). MATERIALS AND METHODS: A descriptive cross-sectional study was conducted on 316 patients with elevated Lp(a) (>125 nmol/L) in a random sample between January and August 2022. We measured epidemiological, anthropometric, clinical and laboratory variables (lipid metabolism parameters, carbohydrates and hormones). RESULTS: Mean age of our sample subject's was 59 ± 15 years with 56% males. The average BMI was 27.6 kg/m2 (71% with elevated BMI). Elevated waist circumference was observed in 54.1% of men and 77.8% of women. 48% had hypertension, 30.7% had diabetes mellitus and 91.5% dyslipidemia. Only 39.7% of the patients had never smoked. The mean values of total cholesterol were 158 ± 45 mg/dl, LDL was 81 ± 39 mg/dl, HDL was 53 ± 17 mg/dl, Triglycerides were 127 ± 61 mg/dl, and Lp(a) was 260 ± 129 nmol/L. Regarding lipid lowering treatment, 89% were on statins, 68.6% on ezetimibe, and 13.7% on PCSK9 inhibitors. 177 patients (57,7%) had established cardiovascular disease (CVD), 16.3% had polyvascular disease, 11.7% had subclinical CVD, and 30.6% had no known CVD. Among patients with established CVD, 174 (98.3%) were on lipid-lowering treatment (97.2% on statins) and 86.4% were on antiplatelet therapy. The mean age of cardiovascular events was 55 ± 12 years in males and 60 ± 11 years in females. 65,1% of female and 56,2% of male patients suffered an early cardiovascular event. CONCLUSIONS: Patients with elevated Lp(a) are at very high cardiovascular risk, particularly for early cardiovascular disease.

Comparison between the European Randomized Study for Screening of Prostate Cancer (ERSPC) and Prostate Biopsy Collaborative Group (PBCG) risk calculators: Prediction of clinically significant Prostate Cancer risk in a cohort of patients from Argentina.

OBJECTIVE: To compare the performance of the risk calculators of the European Randomized Study for Screening of Prostate Cancer (ERSPC) and the Prostate Biopsy Collaborative Group (PBCG) in predicting the risk of presenting clinically significant prostate cancer. MATERIAL AND METHODS: Retrospectively, patients who underwent prostate biopsy at Sanatorio Allende Cerro, Ciudad de Córdoba, Argentina, were identified from January 2018 to December 2021. The probability of having prostate cancer was calculated with the two calculators separately and then the results were compared to establish which of the two performed better. For this, areas under the curve (AUC) were analyzed. RESULTS: 250 patients were included, 140 (56%) presented prostate cancer, of which 92 (65.71%) had clinically significant prostate cancer (Gleason score ≥7). The patients who presented cancer were older, had a higher prostate-specific antigen (PSA) value, and had a smaller prostate size. The AUC to predict the probability of having clinically significant prostate cancer was 0.79 and 0.73 for PBCG-RC and ERSPC-RC respectively (P=0.0084). CONCLUSION: In this cohort of patients, both prostate cancer risk calculators performed well in predicting clinically significant prostate cancer risk, although the PBCG-RC showed better accuracy.

Value of increased soluble suppressor tumorigenicity biomarker 2 (sST2) on admission as an indicator of severity in patients with COVID-19 / Valor del aumento del biomarcador supresor soluble de tumorigenicidad 2 (sST2) al ingreso como indicador de gravedad en pacientes con COVID-19

Background Soluble suppressor of tumorigenicity-2 (sST2) is a biomarker for heart failure and pulmonary injury. We hypothesize that sST2 could help predict severity of SARS-CoV-2 infections. Methods sST2 was analyzed in patients consecutively admitted for SARS-CoV-2 pneumonia. Other prognostic markers were also measured. In-hospital complications were registered, including death, ICU admission, and respiratory support requirements. Results 495 patients were studied (53% male, age: 57.6±17.6). At admission, median sST2 concentrations was 48.5ng/mL [IQR, 30.6–83.1ng/mL] and correlated with male gender, older age, comorbidities, other severity biomarkers, and respiratory support requirements. sST2 levels were higher in patients who died (n=45, 9.1%) (45.6 [28.0, 75.9]ng/mL vs. 144 [82.6, 319] ng/mL, p<0.001) and those admitted to ICU (n=46, 9.3%) (44.7 [27.5, 71.3] ng/mL vs. 125 [69.0, 262]ng/mL, p<0.001). sST2 levels>210ng/mL were a strong predictor of complicated in-hospital courses, with higher risk of death (OR, 39.3, CI95% 15.9, 103) and death/ICU (OR 38.3, CI95% 16.3–97.5) after adjusting for all other risk factors. The addition of sST2 enhanced the predictive capacity of mortality risk models. Conclusions sST2 represents a robust severity predictor in COVID-19 and could be an important tool for identifying at-risk patients who may benefit from closer follow-up and specific therapies (AU)

Antecedentes El supresor soluble de tumorigenicidad 2 (sST2) es un biomarcador de insuficiencia cardiaca y daño pulmonar. Nuestra hipótesis es que la determinación de sST2 al ingreso podría ayudar a predecir la gravedad de la infección por SARS-CoV-2. Métodos Se analizó la concentración de sST2 en pacientes ingresados por neumonía por SARS-CoV-2, junto con otros biomarcadores pronósticos conocidos. Asimismo, se registraron las complicaciones durante la estancia hospitalaria, incluidas la muerte, el ingreso en Unidad de Cuidados Intensivos (UCI) y los requerimientos de soporte respiratorio. Resultados Se estudiaron 495 pacientes (53% hombres, edad 57,6 ± 17,6). Al ingreso, la mediana de la concentración de sST2 fue 48,5 ng/mL (índice intercuartílico [IQR] 30,6-83,1 ng/mL) y correlacionó con el género masculino, una mayor edad, comorbilidades, otros biomarcadores de gravedad, así como necesidad de soporte respiratorio. Los niveles de sST2 fueron mayores en pacientes que fallecieron (n = 45, 9,1%) (45,6 [28,0, 75,9] ng/mL vs. 144 [82,6, 319] ng/mL, p < 0,001) y aquellos que requirieron ingreso en UCI (n = 46, 9,3%) (44,7 [27,5, 71,3] ng/mL vs. 125 [69,0, 262] ng/mL, p < 0,001). Así, los valores de sST2 > 210 ng/mL se han demostrado como un fuerte predictor de complicaciones, con un mayor riesgo de fallecimiento (odds ratio [OR], 39,3, intervalo de confianza [IC] 95% 15,9, 103) y fallecimiento o ingreso en UCI (OR 38,3, IC 95% 16,3-97,5), tras el ajuste por todos los demás factores de riesgo. La adición de la determinación de los niveles de sST2 mejoró la potencia predictiva de los modelos de riesgo desarrollados. Conclusiones El sST2 representa un predictor robusto de la gravedad en pacientes con COVID-19 y podría convertirse en una herramienta importante para la identificación de pacientes en riesgo que podrían beneficiarse de un mayor seguimiento y terapias específicas (AU)

Estratificación de riesgo del dolor torácico en el servicio de urgencia / Risk stratification of chest pain in the emergency department

El dolor torácico es un motivo de consulta frecuente en los servicios de urgencia. Su espectro de presentaciones y su diagnóstico diferencial es amplio, con patologías de elevada morbilidad y mortalidad asociadas. Es el síntoma principal en pacientes con un síndrome coronario agudo y, ante su sospecha es mandatorio realizar una evaluación inicial centrada en la estratificación de riesgo de sufrir eventos adversos en cada paciente, para así definir su tratamiento y disposición posterior de forma correcta. Objetivo: presentar los elementos que componen la evaluación inicial del dolor torácico ante una sospecha de síndrome coronario agudo y las herramientas disponibles para realizar la estratificación de riesgo y así guiar la disposición desde el servicio de urgencia. Método: Se realizó una revisión bibliográfica de la literatura sobre la estratificación de riesgo del dolor torácico, buscando la evidencia actual respecto a las herramientas diagnósticas utilizadas habitualmente en el servicio de urgencia. Resultados: Se presenta una revisión con generalidades del dolor torácico, sus diagnósticos diferenciales, los elementos de la evaluación inicial y las herramientas clínicas para la evaluación de riesgo de pacientes con dolor torácico y sospecha de síndrome coronario agudo en el servicio de urgencia. Discusión y conclusiones: La presentación del síndrome coronario agudo es variable en la población. Ante la presencia de un cuadro de dolor atípico y/o un electrocardiograma no diagnóstico, recomendamos el uso de un sistema de puntaje validado como el HEART / HEART pathway para reducir la posibilidad de una inadecuada estratificación de riesgo en el servicio de urgencia

Chest pain is a common complaint in emergency departments. The spectrum of presentation and its differential diagnosis are broad, including pathologies associated with high morbidity and mortality, and it is the main symptom in patients suffering from acute coronary syndrome. If suspected, it is mandatory to work out an initial evaluation focused on the risk stratification of adverse events for each patient to define their correct treatment and disposition. Objective: show the elements that involve the initial evaluation of chest pain suspicious of an acute coronary syndrome, the clinical tools available to perform risk stratification, and guide the disposition from the emergency department. Method: a review of the literature on chest pain risk stratification was performed, looking for current evidence of the most commonly used diagnostic tools in emergency departments. Results: we present a literature review of generalities about chest pain and its differential diagnoses, the elements to consider in the initial evaluation, and clinical tools for risk stratification of patients with suspected acute coronary syndrome at the emergency department. Discussion and conclusions: the presentation of acute coronary syndrome is variable in the population. In the presence of atypical chest pain or a non-diagnostic electrocardiogram, we recommend using a validated score as the HEART / HEART Pathway to reduce the chance of inadequate risk stratification in the emergency department.

Decisión de hospitalización o alta en pacientes con insuficiencia cardiaca aguda en urgencias, su adecuación con la gravedad de la descompensación e impacto pronóstico / Decisions to admit vs. discharge patients with acute heart failure from the emergency department: consistency with a measure of severity of decompensation and the impact on prognosis

Objetivos. Analizar cómo se ajusta la decisión de ingreso o alta del paciente con insuficiencia cardiaca aguda (ICA) atendido en urgencias a su riesgo de evento adverso, así como su impacto en el pronóstico en aquellos dados de alta desde urgencias. Método. Se recogieron datos basales y clínicos de pacientes diagnosticados de ICA en 16 servicios de urgencias españoles. Los pacientes se estratificaron según la gravedad de la descompensación mediante la escala MEESSI y se analizó la distribución de dicha gravedad en hospitalizados (en conjunto, e individualmente para los servicios con mayor número de hospitalizaciones) y dados de alta desde urgencias. En este último grupo, se analizó el cumplimiento de los siguientes indicadores de calidad: mortalidad por cualquier causa a 30 días (< 2%), reconsulta a urgencias por ICA a 7 días posalta (< 10%), y reconsulta a urgencias u hospitalización por ICA a 30 días posalta (< 20%). Resultados. Se incluyeron 2.855 pacientes (edad mediana = 84 años, RIC = 76-88; mujeres = 54%): 1.042 pacientes (36,5%) de riesgo bajo, 1.239 (43,4%) intermedio, 301 (10,5%) alto y 273 (9,6%) muy alto. La mortalidad a 30 días por categorías de riesgo fue 1,9%, 9,3%, 15,3% y 38,4%, respectivamente; la mortalidad al año 15,4%, 35,6%, 52,0% y 74,2%; y la hospitalización 62,2%, 77,4%, 87,0% y 88,3%. El 47,1% de pacientes dados de alta de urgencias tenía un riesgo incrementado (intermedio, alto o muy alto) y el 30,7% de hospitalizados eran de bajo riesgo. La gravedad de la descompensación según el servicio de hospitalización se incrementaba en el siguiente orden: medicina interna, corta estancia, cardiología, intensivos y geriatría. (AU)

Objectives: To analyze the consistency between decisions to discharge or admit patients with acute heart failure (AHF) treated in emergency departments (EDs) and the level of risk of adverse events, and to analyze the impact of decisions to discharge patients. Material and methods: Prospective study of baseline clinical data collected from patients diagnosed with AHF in 16 Spanish emergency departments. Patients were stratified by severity of decompensated AHF based on MEESSI assessment (Multiple Estimation of Risk Based on the Spanish Emergency Department Score). The distribution of severity was described for patients who were hospitalized (overall and for departments receiving the largest number of admissions) and for discharged patients. We analyzed the data for discharged patients for associations with the following quality-of-care indicators: all-cause mortality of less than 2% at 30 days, revisits to the ED for AHF in less than 10% of patients within 7 days of discharge, and revisits to the ED or admission for AHF in less than 20% within 30 days of discharge. Results: We included 2855 patients with a median (interquartile range) age of 84 (76-88) years. Fifty-four percent were women, 1042 (36.5%) were classified as low risk, 1239 (43.4%) as intermediate risk, 301 (10.5%) as high risk, and 273 (9.6%) as very high risk. Thirty-day mortality rates by level of low to very high risk were 1.9%, 9.3%, 15.3%, and 38.4%, respectively. One-year mortality rates by risk level were 15.4%, 35.6%, 52.0%, and 74.2%. Admission rates by risk level were 62.2%, 77.4%, 87.0%, and 88.3%. Overall, 47.1% o patients discharged from the ED were in the 3 higher-risk categories (intermediate to very high), and 30.7% were in the lowest risk category. The 5 hospital areas receiving the most admissions, in order of lowest-to-highest risk classification, were internal medicine, the short-stay unit, cardiology, intensive care, and geriatrics. (AU)

Decisions to admit vs. discharge patients with acute heart failure from the emergency department: consistency with a measure of severity of decompensation and the impact on prognosis. / Decisión de hospitalización o alta en pacientes con insuficiencia cardiaca aguda en urgencias, su adecuación con la gravedad de la descompensación e impacto pronóstico.

OBJECTIVES: To analyze the consistency between decisions to discharge or admit patients with acute heart failure (AHF) treated in emergency departments (EDs) and the level of risk of adverse events, and to analyze the impact of decisions to discharge patients. MATERIAL AND METHODS: Prospective study of baseline clinical data collected from patients diagnosed with AHF in 16 Spanish emergency departments. Patients were stratified by severity of decompensated AHF based on MEESSI assessment (Multiple Estimation of Risk Based on the Spanish Emergency Department Score). The distribution of severity was described for patients who were hospitalized (overall and for departments receiving the largest number of admissions) and for discharged patients. We analyzed the data for discharged patients for associations with the following quality-of-care indicators: all-cause mortality of less than 2% at 30 days, revisits to the ED for AHF in less than 10% of patients within 7 days of discharge, and revisits to the ED or admission for AHF in less than 20% within 30 days of discharge. RESULTS: We included 2855 patients with a median (interquartile range) age of 84 (76-88) years. Fifty-four percent were women, 1042 (36.5%) were classified as low risk, 1239 (43.4%) as intermediate risk, 301 (10.5%) as high risk, and 273 (9.6%) as very high risk. Thirty-day mortality rates by level of low to very high risk were 1.9%, 9.3%, 15.3%, and 38.4%, respectively. One-year mortality rates by risk level were 15.4%, 35.6%, 52.0%, and 74.2%. Admission rates by risk level were 62.2%, 77.4%, 87.0%, and 88.3%. Overall, 47.1% o patients discharged from the ED were in the 3 higher-risk categories (intermediate to very high), and 30.7% were in the lowest risk category. The 5 hospital areas receiving the most admissions, in order of lowest-to-highest risk classification, were internal medicine, the short-stay unit, cardiology, intensive care, and geriatrics. Rates and 95% CIs for quality-of-care indicators in patients discharged from EDs were as follows: 30-day mortality, 4.3% (3.0%-6.1%); ED revisits within 7 days, 11.4% (9.2%-14.0%), and ED revisits or admissions within 30 days, 31.5% (28.0%-35.1%). In patients classified as low risk on ED discharge, these percentages were lower, as follows, respectively: 0.5% (0.1%-1.8%), 10.5% (7.6%-14.0%), and 29.5% (26.6%-32.6%). CONCLUSION: We detected disparity between severity of AHF decompensation and the decision to discharge or admit patients. Outcomes in patients discharged from EDs do not reach the recommended quality-of-care standards. Reducing inconsistencies between severity of decompensation and ED decisions could help to improve quality targets.

OBJETIVO: Analizar cómo se ajusta la decisión de ingreso o alta del paciente con insuficiencia cardiaca aguda (ICA) atendido en urgencias a su riesgo de evento adverso, así como su impacto en el pronóstico en aquellos dados de alta desde urgencias. METODO: Se recogieron datos basales y clínicos de pacientes diagnosticados de ICA en 16 servicios de urgencias españoles. Los pacientes se estratificaron según la gravedad de la descompensación mediante la escala MEESSI y se analizó la distribución de dicha gravedad en hospitalizados (en conjunto, e individualmente para los servicios con mayor número de hospitalizaciones) y dados de alta desde urgencias. En este último grupo, se analizó el cumplimiento de los siguientes indicadores de calidad: mortalidad por cualquier causa a 30 días ( 2%), reconsulta a urgencias por ICA a 7 días posalta ( 10%), y reconsulta a urgencias u hospitalización por ICA a 30 días posalta ( 20%). RESULTADOS: Se incluyeron 2.855 pacientes (edad mediana = 84 años, RIC = 76-88; mujeres = 54%): 1.042 pacientes (36,5%) de riesgo bajo, 1.239 (43,4%) intermedio, 301 (10,5%) alto y 273 (9,6%) muy alto. La mortalidad a 30 días por categorías de riesgo fue 1,9%, 9,3%, 15,3% y 38,4%, respectivamente; la mortalidad al año 15,4%, 35,6%, 52,0% y 74,2%; y la hospitalización 62,2%, 77,4%, 87,0% y 88,3%. El 47,1% de pacientes dados de alta de urgencias tenía un riesgo incrementado (intermedio, alto o muy alto) y el 30,7% de hospitalizados eran de bajo riesgo. La gravedad de la descompensación según el servicio de hospitalización se incrementaba en el siguiente orden: medicina interna, corta estancia, cardiología, intensivos y geriatría. El 4,3% de pacientes dados de alta de urgencias (IC 95%: 3,0-6,1) falleció a los 30 días, el 11,4% (9,2-14,0) reconsultó en urgencias a los 7 días, y el 31,5% (28,0-35,1) reconsultó en urgencias o se hospitalizó a los 30 días. Si sólo se consideran los pacientes dados de alta de bajo riesgo, estos porcentajes descienden al 0,5% (0,1-1,8), 10,5% (7,6-14,0) y 29,5% (26,6-32,6), respectivamente. CONCLUSIONES: Existe disparidad entre la gravedad de la descompensación y la decisión en urgencias de hospitalizar o dar de alta a los pacientes con ICA. Los resultados que se obtienen en los pacientes dados de alta desde urgencias no alcanzan los estándares de calidad recomendados. Disminuir las incongruencias entre gravedad de la descompensación y toma de decisión podría contribuir a cumplir con estos estándares.

Value of increased soluble suppressor tumorigenicity biomarker 2 (sST2) on admission as an indicator of severity in patients with COVID-19.

BACKGROUND: Soluble suppressor of tumorigenicity-2 (sST2) is a biomarker for heart failure and pulmonary injury. We hypothesize that sST2 could help predict severity of SARS-CoV-2 infections. METHODS: sST2 was analyzed in patients consecutively admitted for SARS-CoV-2 pneumonia. Other prognostic markers were also measured. In-hospital complications were registered, including death, ICU admission, and respiratory support requirements. RESULTS: 495 patients were studied (53% male, age: 57.6±17.6). At admission, median sST2 concentrations was 48.5ng/mL [IQR, 30.6-83.1ng/mL] and correlated with male gender, older age, comorbidities, other severity biomarkers, and respiratory support requirements. sST2 levels were higher in patients who died (n=45, 9.1%) (45.6 [28.0, 75.9]ng/mL vs. 144 [82.6, 319] ng/mL, p<0.001) and those admitted to ICU (n=46, 9.3%) (44.7 [27.5, 71.3] ng/mL vs. 125 [69.0, 262]ng/mL, p<0.001). sST2 levels>210ng/mL were a strong predictor of complicated in-hospital courses, with higher risk of death (OR, 39.3, CI95% 15.9, 103) and death/ICU (OR 38.3, CI95% 16.3-97.5) after adjusting for all other risk factors. The addition of sST2 enhanced the predictive capacity of mortality risk models. CONCLUSIONS: sST2 represents a robust severity predictor in COVID-19 and could be an important tool for identifying at-risk patients who may benefit from closer follow-up and specific therapies.

Revisión sistemática sobre el papel de la 18F-FDG PET/TC preoperatoria para el pronóstico y la estratificación de riesgo en pacientes con cáncer de endometrio / A systematic review about the role of preoperative 18F-FDG PET/CT for prognosis and risk stratification in patients with endometrial cancer

objetivo Analizar la literatura disponible sobre el valor pronóstico de los parámetros metabólicos de la 18F-FDG PET/TC preoperatoria y su utilidad en la estratificación de riesgo en pacientes con cáncer de endometrio (CE). Material y métodos En búsquedas de Pubmed se utilizó «(endometr* OR uter*) AND (PET OR FDG)» como palabras clave desde enero-2000 hasta junio-2020. Se revisaron referencias en los artículos incluidos buscando posibles publicaciones no incluidas en la primera búsqueda. Se incluyeron los estudios que evaluaron el valor pronóstico de la 18F-FDG PET/TC preoperatoria y su papel para la estratificación del riesgo en pacientes con CE. Los artículos no originales (revisiones, editoriales, cartas, casos legales, entrevistas, informes de casos, etc.) no fueron incluidos. Resultados Veintiséis estudios (1.918 pacientes) fueron elegidos según los criterios de inclusión en esta revisión. Se incluyeron 13 estudios (939 pacientes) relacionados con el papel pronóstico de la 18F-FDG PET/TC preoperatoria y 14 estudios (1.036 pacientes) relacionados con su papel en la estratificación de riesgo. Parámetros como SUVmáx, volumen tumoral metabólico (VTM) y glicólisis total de lesión (GTL) del tumor primario fueron analizados. Conclusiones El SUVmáx preoperatorio es útil para realizar diagnósticos no invasivos y decidir la estrategia terapéutica adecuada, ya que podría utilizarse como marcador pronóstico independiente de recurrencia y supervivencia en el CE. Además, tanto VTM como GTL preoperatorios podrían ser factores pronósticos independientes para predecir recurrencia y supervivencia, pero, aun no existe suficiente evidencia científica. La utilidad del SUVmáx para la estratificación del riesgo es limitada (no existe literatura suficiente acerca de que la 18F-FDG PET/TC pueda sustituir la estadificación quirúrgica), aunque el VTM y la GTL sí que son más precisos y tienen un valioso papel en la estratificación del riesgo del CE (AU)

Objective To analyse the available literature on the prognostic value of preoperative 18F-FDG PET/CT metabolic parameters and their usefulness in risk stratification in patients with endometrial cancer (EC). Material and methods Pubmed searches used «(endometr* OR uter*) AND (PET OR FDG)» as keywords from January-2000 to June-2020. References in included articles were checked for possible publications not included in the first search. Studies evaluating the prognostic value of preoperative 18F-FDG PET/CT and its role for risk stratification in patients with EC were included. Non-original articles (reviews, editorials, letters, legal cases, interviews, case reports, etc.) were not included. Results Twenty-six studies (1918 patients) were selected according to the inclusion criteria in this review. Thirteen studies (939 patients) related to the prognostic role of preoperative 18F-FDG PET/CT and 14 studies (1036 patients) related to its role in risk stratification were included. Parameters such as SUVmax, metabolic tumour volume (MTV) and total lesion glycolysis (TLG) of the primary tumour were analysed. Conclusions Preoperative SUVmax is useful for non-invasive diagnosis and for deciding the appropriate therapeutic strategy, as it could be used as an independent prognostic marker for recurrence and survival in EC. In addition, both preoperative VTM and GTL could be independent prognostic factors for predicting recurrence and survival, but there is still insufficient scientific evidence. The usefulness of SUVmax for risk stratification is limited (there is insufficient literature that 18F-FDG PET/CT can replace surgical staging), although VTM and GTL are more accurate and have a valuable role in risk stratification of EC. However, larger multicentre studies with adequate follow-up time are needed to confirm these findings (AU)

A systematic review about the role of preoperative 18F-FDG PET/CT for prognosis and risk stratification in patients with endometrial cancer.

OBJECTIVE: To analyse the available literature on the prognostic value of preoperative 18F-FDG PET/CT metabolic parameters and their usefulness in risk stratification in patients with endometrial cancer (EC). MATERIAL AND METHODS: Pubmed searches used "(endometr* OR uter*) AND (PET OR FDG)" as keywords from January-2000 to June-2020. References in included articles were checked for possible publications not included in the first search. Studies evaluating the prognostic value of preoperative 18F-FDG PET/CT and its role for risk stratification in patients with EC were included. Non-original articles (reviews, editorials, letters, legal cases, interviews, case reports, etc.) were not included. RESULTS: Twenty-six studies (1918 patients) were selected according to the inclusion criteria in this review. Thirteen studies (939 patients) related to the prognostic role of preoperative 18F-FDG PET/CT and 14 studies (1036 patients) related to its role in risk stratification were included. Parameters such as SUVmax, metabolic tumour volume (MTV) and total lesion glycolysis (TLG) of the primary tumour were analysed. CONCLUSIONS: Preoperative SUVmax is useful for non-invasive diagnosis and for deciding the appropriate therapeutic strategy, as it could be used as an independent prognostic marker for recurrence and survival in EC. In addition, both preoperative VTM and GTL could be independent prognostic factors for predicting recurrence and survival, but there is still insufficient scientific evidence. The usefulness of SUVmax for risk stratification is limited (there is insufficient literature that 18F-FDG PET/CT can replace surgical staging), although VTM and GTL are more accurate and have a valuable role in risk stratification of EC. However, larger multicentre studies with adequate follow-up time are needed to confirm these findings.

Validación de los modelos de predicción de desenlaces cardiacos adversos CARPREG II (Cardiac Disease in Pregnancy) y clasificación modificada de la Organización Mundial de la Salud (OMS) en gestantes con cardiopatía / Validation of the CARPREG II risk stratification model and the WHO scale in pregnant women with heart disease

Resumen Introducción: En gestantes con cardiopatía, los modelos de estratificación del riesgo de desenlaces adversos permiten guiar las decisiones clínicas y establecer estrategias de seguimiento y manejo de acuerdo con cada categoría. Objetivo: Validar los modelos de predicción de riesgo de desenlaces cardiacos adversos CARPREG II y OMSm en gestantes con cardiopatía. Materiales y método: Estudio de validación y comparación de dos modelos de predicción de riesgo en una cohorte prospectiva de gestantes con cardiopatía, valoradas por un equipo cardioobstétrico en un país de ingresos medios. Se evaluaron los desenlaces cardiovasculares y perinatales y se determinó la calibración y el nivel de discriminación de estas herramientas. Resultados: Entre 328 gestantes (27 años DE = 7), el 33% (n = 110) tenían cardiopatía congénita, el 30% (n = 98) arritmias, el 14% (n = 46) valvulopatías y el 9% (n = 29) miocardiopatía. Un evento cardiaco ocurrió en el 15% (10% primario y 5% secundario). La discriminación de ambos modelos fue adecuada (AUC-ROC: 0.74; IC 95%: 0.64-0.84 para CARPREG II y 0.77 para OMSm; IC 95%: 0.69-0.86). La calibración también es buena (Hosmer-Lemeshow > 0.05). Las variables numéricas fracción de eyección y presión sistólica de la arteria pulmonar, pueden mejorar la capacidad de predicción del CARPREG II. Conclusiones: Los modelos CARPREG II y OMSm tienen buena capacidad de predicción del riesgo de desenlaces cardiacos adversos y se ajustan a nuestras gestantes con cardiopatía.

Abstract Introduction: In pregnant women with heart disease, risk stratification models for adverse outcomes allow guiding clinical decisions and establish monitoring and management strategies according to each category. Objective: To validate CARPREG II and WHOm adverse cardiac outcome risk prediction models in this population. Materials and methods: Validation and comparison study of two risk prediction models in a prospective cohort of pregnant women with heart disease, assessed by a team cardio-obstetrician in a middle-income country. We assessed cardiovascular and perinatal outcomes and determined the calibration and level of discrimination of these tools. Results: Among 328 pregnant women (27 years SD = 7), 33% (n = 110) had congenital heart disease, 30% (n = 98) arrhythmias, 14% (n = 46) valvular pathologies and 9% (n = 29) cardiomyopathies. A cardiac event occurred in 15% (10% primary and 5% secondary). Discrimination of both models was adequate (AUC-ROC 0.74 CI 95% 0.64-0.84 for CARPREG II and 0.77 for WHOm 95% CI 0.69-0.86). The calibration is also good (Hosmer-Lemeshow >0.05). The Numerical variables of fraction of ejection and systolic pressure of the pulmonary artery can improve the predictive ability of CARPREG II. Conclusions: The CARPREG II and WHOm risk stratification models have good ability to predict the risk of adverse cardiac outcomes and are adjusted to our pregnant women with heart disease.

Tratamiento a distancia de la insuficiencia cardiaca mediante el algoritmo HeartLogic. Registro RE-HEART / Remote heart failure management using the HeartLogic algorithm. RE-HEART registry

Introducción y objetivos HeartLogic es un algoritmo multiparamétrico incorporado a desfibriladores automáticos implantables (DAI). La alerta asociada predice descompensaciones de insuficiencia cardiaca (IC). Nuestro objetivo es analizar la asociación entre alertas y eventos clínicos bajo un protocolo de seguimiento común en un registro multicéntrico. Métodos Se evaluaron la fase 1 (investigadores ciegos al estado de la alerta) y las fases 2 y 3 (tras la activación de HeartLogic, según práctica local y un protocolo común respectivamente). Resultados Se incluyó a 288 pacientes en 15 centros. En fase 1, tras una media de observación de 10 meses, hubo 73 alertas (0,72 alertas/paciente-año), con 8 hospitalizaciones y 2 visitas a urgencias por IC (0,10 eventos/año-paciente). No hubo hospitalizaciones fuera del periodo de alerta. Las fases activas tuvieron una media de seguimiento de 16 (IC95%, 15-22) meses, con 277 alertas (0,89 alertas/año-paciente); 33 se asociaron con hospitalizaciones o muerte por IC, 46 con descompensaciones menores y 78 con otros eventos. La tasa de alertas inexplicables fue 0,39/año-paciente. Fuera del estado de alerta solo hubo una hospitalización y una descompensación menor. La mayoría de las alertas (el 82% en fase 2 y el 81% en fase 3; p=0,861) se gestionaron a distancia. La mediana de NT-proBNP fue superior en estado de alerta que fuera de él (7.378 frente a 1.210 pg/ml; p <0,001). Conclusiones El índice HeartLogic se asoció con descompensaciones de IC y otros eventos relevantes, con baja tasa de alertas inexplicables. Un protocolo estandarizado permitió detectar y actuar a distancia con seguridad sobre las alertas (AU)

Introduction and objectives HeartLogic is a multiparametric algorithm incorporated into implantable cardioverter-defibrillators (ICD). The associated alerts predict impending heart failure (HF) decompensations. Our objective was to analyze the association between alerts and clinical events and to describe the implementation of a protocol for remote management in a multicenter registry. Methods We evaluated study phase 1 (the investigators were blinded to the alert state) and phases 2 and 3 (after HeartLogic activation, managed as per local practice and with a standardized protocol, respectively). Results We included 288 patients from 15 centers. In phase 1, the median observation period was 10 months and there were 73 alerts (0.72 alerts/patient-y), with 8 hospitalizations and 2 emergency room admissions for HF (0.10 events/patient-y). There were no HF hospitalizations outside the alert period. In the active phases, the median follow-up was 16 (95%CI, 15-22) months and there were 277 alerts (0.89 alerts/patient-y); 33 were associated with HF hospitalizations or HF death (n=6), 46 with minor decompensations, and 78 with other events. The unexplained alert rate was 0.39 alerts/patient-y. Outside the alert state, there was only 1 HF hospitalization and 1 minor HF decompensation. Most alerts (82% in phase 2 and 81% in phase 3; P=.861) were remotely managed. The median NT-proBNP value was higher within than outside the alert state (7378 vs 1210 pg/mL; P <.001). Conclusions The HeartLogic index was frequently associated with HF-related events and other clinically relevant situations, with a low rate of unexplained events. A standardized protocol allowed alerts to be safely and remotely detected and appropriate action to be taken on them (AU)

Hipertensión arterial pulmonar / Pulmonary arterial hypertension

La hipertensión arterial pulmonar (HAP) es una enfermedad rara caracterizada por un remodelado adverso del árbol arterial que conlleva un aumento de las resistencias vasculares con el subsecuente incremento de la poscarga del ventrículo derecho y el desarrollo, finalmente, de insuficiencia cardiaca. El curso de la enfermedad conlleva un mal pronóstico, al que se asocia el retraso en el diagnóstico e inicio de tratamiento motivado por la clínica inespecífica y el desconocimiento de la entidad. Las recomendaciones más recientes se centran en optimizar el diagnóstico precoz diferencial frente a otras causas de hipertensión pulmonar, con el fin de iniciar un tratamiento adecuado utilizando como referencia la estimación de riesgo de mortalidad del paciente. En los últimos años, con la mejora en el proceso diagnóstico, la aparición de nuevos tratamientos específicos y la creación de unidades de referencia especializadas en esta enfermedad, se ha conseguido mejorar el pronóstico y la calidad de vida de los pacientes con HAP. (AU)

Pulmonary arterial hypertension (PAH) is a rare disease characterized by adverse remodeling of the arterial tree leading to increased vascular resistance with subsequent increase in right ventricular afterload and eventual development of heart failure. The nonspecific clinical manifestations and lack of knowledge of pathology lead to a poor prognosis associated with delay in diagnosis and initiation of treatment. The most recent recommendations focus on optimizing the early differential diagnosis with other causes of pulmonary hypertension to initiate appropriate treatment based on the mortality risk estimation. In the last years, with the improvement in the diagnostic process, the emergence of new specific treatments, and the creation of specialized referral units for this pathology, the prognosis, and quality of life of patients with PAH have improved significantly. (AU)

Rheumatoid Arthritis, Statin Indication and Lipid Goals: Analysis According to Different Recommendations.

BACKGROUND: Different strategies have been proposed for the cardiovascular risk management of patients with rheumatoid arthritis (RA). OBJECTIVES: (1) To estimate the cardiovascular risk by different strategies in RA patients, analyzing which proportion of patients would be candidates to receive statin therapy; (2) to identify how many patients meet the recommended lipid goals. METHODS: A cross-sectional study was performed from a secondary database. The QRISK-3 score, the Framingham score (adjusted for a multiplying factor×1.5), the ASCVD calculator and the SCORE calculator were estimated. The indications for statin therapy according to NICE, Argentine Consensus, ACC/AHA, and new European guidelines were analyzed. The recommended LDL-C goals were analyzed. RESULTS: A total of 420 patients were included. In total, 24.7% and 48.7% of patients in primary and secondary prevention were receiving statins, respectively. Only 19.4% of patients with cardiovascular history received high intensity statins. Applying the ACC/AHA guidelines (based on ASCVD score), the Argentine Consensuses (based on adjusted Framingham score), the NICE guidelines (based on QRISK-3) and European recommendations (based on SCORE), 26.9%, 26.5%, 41.1% and 18.2% of the population were eligible for statin therapy, respectively. Following the new European recommendations, 50.0%, 46.2% and 15.9% of the patients with low-moderate, high or very high risk achieved the suggested lipid goals. CONCLUSION: Applying four strategies for lipid management in our population, the cardiovascular risk stratification and the indication for statins were different. A significant gap was observed when comparing the expected and observed statin indication, with few patients achieving the LDL-C goals.

Rheumatoid Arthritis, Statin Indication and Lipid Goals: Analysis According to Different Recommendations / Artritis reumatoide, indicación de estatinas y objetivos lipídicos: Análisis según diferentes recomendaciones

Background: Different strategies have been proposed for the cardiovascular risk management of patients with rheumatoid arthritis (RA).Objectives(1) To estimate the cardiovascular risk by different strategies in RA patients, analyzing which proportion of patients would be candidates to receive statin therapy; (2) to identify how many patients meet the recommended lipid goals. Methods: A cross-sectional study was performed from a secondary database. The QRISK-3 score, the Framingham score (adjusted for a multiplying factor×1.5), the ASCVD calculator and the SCORE calculator were estimated. The indications for statin therapy according to NICE, Argentine Consensus, ACC/AHA, and new European guidelines were analyzed. The recommended LDL-C goals were analyzed. Results: A total of 420 patients were included. In total, 24.7% and 48.7% of patients in primary and secondary prevention were receiving statins, respectively. Only 19.4% of patients with cardiovascular history received high intensity statins. Applying the ACC/AHA guidelines (based on ASCVD score), the Argentine Consensuses (based on adjusted Framingham score), the NICE guidelines (based on QRISK-3) and European recommendations (based on SCORE), 26.9%, 26.5%, 41.1% and 18.2% of the population were eligible for statin therapy, respectively. Following the new European recommendations, 50.0%, 46.2% and 15.9% of the patients with low-moderate, high or very high risk achieved the suggested lipid goals. Conclusion: Applying four strategies for lipid management in our population, the cardiovascular risk stratification and the indication for statins were different. A significant gap was observed when comparing the expected and observed statin indication, with few patients achieving the LDL-C goals.(AU)

Antecedentes: Se han propuesto diferentes estrategias para el manejo del riesgo cardiovascular en pacientes con artritis reumatoide (AR).Objetivos(1) estimar el riesgo cardiovascular mediante diferentes estrategias en pacientes con AR, analizando qué proporción de pacientes deberían recibir estatinas; (2) identificar cuántos pacientes alcanzaron los objetivos lipídicos recomendados. Métodos: Estudio de corte transversal. Se estimaron los puntajes QRISK-3, Framingham (ajustado por un factor multiplicador × 1,5), ASCVD y SCORE. Se analizaron las indicaciones de estatinas, según las guías NICE, el Consenso Argentino, las guías ACC/AHA 2018 y las nuevas directrices europeas. Se analizaron los objetivos de C-LDL. Resultados: Se incluyeron 420 pacientes; 24,7 y 48,7% de los pacientes en prevención primaria y secundaria recibían estatinas, respectivamente. El 19,4% de los pacientes con antecedentes cardiovasculares recibían estatinas de alta intensidad. Aplicando las guías ACC/AHA (basadas en el puntaje ASCVD), el Consenso Argentino (basado en el puntaje ajustado de Framingham), las pautas NICE (basadas en el QRISK-3) y las recomendaciones europeas (basadas en el SCORE), 26,9, 26,5, 41,1 y el 18,2% de la población eran elegibles para el tratamiento con estatinas, respectivamente. Siguiendo las nuevas recomendaciones europeas, 50, 46,2 y 15,9% de los pacientes con riesgo bajo-moderado, alto o muy alto lograron los objetivos lipídicos recomendados. Conclusión: Aplicando varias estrategias para el manejo de los lípidos en nuestra población, la estratificación del riesgo cardiovascular y la indicación de estatinas fueron diferentes. Se observó una brecha significativa entre la indicación de estatinas esperada y observada, logrando los objetivos de C-LDL muy pocos pacientes.(AU)

Serum biomarkers for diagnosis and characterization of prostate cancer. / Biomarcadores plasmáticos en el diagnóstico y caracterización del cáncer de próstata.

PSA is the most widely used diagnosticand prognostic biomarker in prostate cancer (PCa).However, its lack of specificity has generated the needto search for new complementary markers. In thisscenario, blood plasma constitutes one of the sourcesof search for new markers, which have been tried tobe combined with PSA and other clinical variables inorder to develop tests that increase their diagnosticspecificity.This narrative review of the literature provides anoverview of commercially available plasma biomarkers and tests for use in different clinical settingsfor PCa. The most studied markers to help select theappropriate patients for initial and / or repeat biopsyhave been: PHI, 4K, STHLM3. These markers havebeen oriented towards the diagnosis of the so-calledclinically signifi cant PCa, trying to validate and calibratetheir algorithms in different populations. Giventhe development and evolution in the diagnosis of PCa,there is still a lack of evidence of the impact of magneticresonance imaging (MRI) when used in combinationwith these new markers, as well as its possiblerole in the screening of the disease and not only in theearly diagnosis process. Furthermore, there are only asmall number of studies that have directly comparedthese tests with each other and with PSA, so there isnot enough evidence to know which test has the bestproperties in each clinical scenario. In order to clarifythe true diagnostic role of these new biomarkers, newprospective, comparative studies in different populationsare absolutely necessary to evaluate their clinicalutility in combination with MRI and fusion biopsy.

El PSA es el biomarcador diagnóstico ypronóstico más ampliamente utilizado en cáncer deprostata (CaP). Sin embargo, su falta de especificidadha generado la necesidad de buscar nuevos marcadorescomplementarios. En este escenario, el plasmasanguíneo constituye una de las fuentes de búsquedade nuevos marcadores, los cuales han tratado decombinarse con el PSA y otras variables clínicas conel objeto de desarrollar tests que aumentaran su especificidaddiagnóstica.En esta revisión narrativa de la literatura se proporcionauna descripción general de los biomarcadoresplasmáticos y tests disponibles comercialmentepara ser utilizados en diferentes contextos clínicosdel CaP. Los test más estudiados para ayudar a seleccionarlos pacientes adecuados para la biopsia inicialy / o repetida han sido: PHI, 4K, STHLM3. Estos testse han orientado hacia el diagnóstico del denominadoCaP clínicamente significativo, intentando validary calibrar sus algoritmos en diferentes poblaciones.Dado el desarrollo y evolución en el diagnóstico deCaP, aún existe una falta de evidencia del impacto de la resonancia magnética (RM) al ser empleada encombinación con estos nuevos marcadores, así comosu posible papel en el screening de la enfermedad yno solo en el proceso de diagnóstico precoz. Además,solo se dispone de una pequeña cantidad de estudiosque hayan comparado directamente estos test entreellos y con el PSA, de modo que no existe evidenciasuficiente para saber qué test tiene mejores propiedadesen cada escenario clínico. En el escenarioactual, para poder aclarar el verdadero papel diagnósticode estos nuevos biomarcadores, son absolutamentenecesarios nuevos estudios prospectivos,comparativos y en diferentes poblaciones, que evalúensu utilidad clínica en combinación con la RM yla biopsia fusión.

Pulmonary arterial hypertension. / Hipertensión arterial pulmonar.

Pulmonary arterial hypertension (PAH) is a rare disease characterized by adverse remodeling of the arterial tree leading to increased vascular resistance with subsequent increase in right ventricular afterload and eventual development of heart failure. The nonspecific clinical manifestations and lack of knowledge of pathology lead to a poor prognosis associated with delay in diagnosis and initiation of treatment. The most recent recommendations focus on optimizing the early differential diagnosis with other causes of pulmonary hypertension to initiate appropriate treatment based on the mortality risk estimation. In the last years, with the improvement in the diagnostic process, the emergence of new specific treatments, and the creation of specialized referral units for this pathology, the prognosis, and quality of life of patients with PAH have improved significantly.

Biomarcadores plasmáticos en el diagnóstico y caracterización del cáncer de próstata / Serum biomarkers for diagnosis and characterization of prostate cáncer

El PSA es el biomarcador diagnóstico y pronóstico más ampliamente utilizado en cáncer deprostata (CaP). Sin embargo, su falta de especificidadha generado la necesidad de buscar nuevos marcadores complementarios. En este escenario, el plasmasanguíneo constituye una de las fuentes de búsqueda de nuevos marcadores, los cuales han tratado decombinarse con el PSA y otras variables clínicas conel objeto de desarrollar tests que aumentaran su especificidad diagnóstica.En esta revisión narrativa de la literatura se proporciona una descripción general de los biomarcadores plasmáticos y tests disponibles comercialmentepara ser utilizados en diferentes contextos clínicosdel CaP. Los test más estudiados para ayudar a seleccionar los pacientes adecuados para la biopsia inicialy / o repetida han sido: PHI, 4K, STHLM3. Estos testse han orientado hacia el diagnóstico del denominado CaP clínicamente significativo, intentando validary calibrar sus algoritmos en diferentes poblaciones.Dado el desarrollo y evolución en el diagnóstico deCaP, aún existe una falta de evidencia del impacto de la resonancia magnética (RM) al ser empleada encombinación con estos nuevos marcadores, así comosu posible papel en el screening de la enfermedad yno solo en el proceso de diagnóstico precoz. Además,solo se dispone de una pequeña cantidad de estudiosque hayan comparado directamente estos test entreellos y con el PSA, de modo que no existe evidenciasuficiente para saber qué test tiene mejores propiedades en cada escenario clínico. En el escenarioactual, para poder aclarar el verdadero papel diagnóstico de estos nuevos biomarcadores, son absolutamente necesarios nuevos estudios prospectivos,comparativos y en diferentes poblaciones, que evalúen su utilidad clínica en combinación con la RM yla biopsia fusión. (AU)

PSA is the most widely used diagnosticand prognostic biomarker in prostate cancer (PCa).However, its lack of specificity has generated the needto search for new complementary markers. In thisscenario, blood plasma constitutes one of the sourcesof search for new markers, which have been tried tobe combined with PSA and other clinical variables inorder to develop tests that increase their diagnosticspecificity.This narrative review of the literature provides anoverview of commercially available plasma biomarkers and tests for use in different clinical settingsfor PCa. The most studied markers to help select theappropriate patients for initial and / or repeat biopsyhave been: PHI, 4K, STHLM3. These markers havebeen oriented towards the diagnosis of the so-calledclinically signifi cant PCa, trying to validate and calibrate their algorithms in different populations. Giventhe development and evolution in the diagnosis of PCa,there is still a lack of evidence of the impact of magnetic resonance imaging (MRI) when used in combination with these new markers, as well as its possiblerole in the screening of the disease and not only in theearly diagnosis process. Furthermore, there are only asmall number of studies that have directly comparedthese tests with each other and with PSA, so there isnot enough evidence to know which test has the bestproperties in each clinical scenario. In order to clarifythe true diagnostic role of these new biomarkers, newprospective, comparative studies in different populations are absolutely necessary to evaluate their clinicalutility in combination with MRI and fusion biopsy. (AU)

Remote heart failure management using the HeartLogic algorithm. RE-HEART registry.

INTRODUCTION AND OBJECTIVES: HeartLogic is a multiparametric algorithm incorporated into implantable cardioverter-defibrillators (ICD). The associated alerts predict impending heart failure (HF) decompensations. Our objective was to analyze the association between alerts and clinical events and to describe the implementation of a protocol for remote management in a multicenter registry. METHODS: We evaluated study phase 1 (the investigators were blinded to the alert state) and phases 2 and 3 (after HeartLogic activation, managed as per local practice and with a standardized protocol, respectively). RESULTS: We included 288 patients from 15 centers. In phase 1, the median observation period was 10 months and there were 73 alerts (0.72 alerts/patient-y), with 8 hospitalizations and 2 emergency room admissions for HF (0.10 events/patient-y). There were no HF hospitalizations outside the alert period. In the active phases, the median follow-up was 16 (95%CI, 15-22) months and there were 277 alerts (0.89 alerts/patient-y); 33 were associated with HF hospitalizations or HF death (n=6), 46 with minor decompensations, and 78 with other events. The unexplained alert rate was 0.39 alerts/patient-y. Outside the alert state, there was only 1 HF hospitalization and 1 minor HF decompensation. Most alerts (82% in phase 2 and 81% in phase 3; P=.861) were remotely managed. The median NT-proBNP value was higher within than outside the alert state (7378 vs 1210 pg/mL; P <.001). CONCLUSIONS: The HeartLogic index was frequently associated with HF-related events and other clinically relevant situations, with a low rate of unexplained events. A standardized protocol allowed alerts to be safely and remotely detected and appropriate action to be taken on them.

Gist gigante de alto riesgo: Reporte de caso y revisión de la literatura / Giant GIST of High-risk Criteria: Case Report and Literature Review

RESUMEN Los tumores del estroma gastrointestinal (GIST) son las neoplasias mesenquimales más frecuentes del tracto digestivo. Los criterios de estadificación del riesgo, como angioinvasion, tamaño, infiltración y el índice mitótico, permiten realizar un adecuado diagnóstico y tratamiento. Se presenta un paciente masculino de 67 años de edad, quien consultó por he-matemesis y melenas. Endoscópicamente se observó una masa en el estómago de 20x10x6 cm de diámetro de la cual se tomó biopsia para estudio. Al examen histopatológico se diagnósticó un GIST con invasión microscópica de la lámina propia y angioinvasión, estos dos componentes histopatológicos son escasamente tomados en cuenta para clasificar GIST; sin embargo, son muy importantes en este contexto, pues cambian el pronóstico de la enfermedad y con requerimiento de terapia adyuvante con imatinib. El desenlace del paciente fue favorable, debido a la conducta terapéutica establecida. El comportamiento biológico del GIST varía dependiendo de las características clínicas e histopatológicas. Este caso resalta los criterios de alto riesgo del GIST y la necesidad de modificar el tratamiento cuando están presentes.

ABSTRACT Gastrointestinal stromal tumors (GIST) are the most common mesenchymal neoplasms of the digestive tract. Risk staging criteria such as angioinvasion, size, infiltration, and mitotic index allow for adequate diagnosis and treatment. A 67-year-old male patient is presented, who consulted for hematemesis and melena. Endoscopically, a 20x10x6 cm diameter mass was observed in the stomach, which was taken for a biopsy for study. On histopathological examination, a GIST with the microscopic invasion of the lamina propia and angioinvasion was diagnosed. These two histopathological components are scarcely taken into account to classify GIST; however, they are very important in this context, changing the prognosis of the disease and requiring adjuvant therapy with imatinib. The outcome of the patient was favorable due to the established therapeutic conduct. The biological behavior of GIST varies depending on the clinical and histopathological characteristics. This case highlights the high-risk criteria for GIST and the need to modify the treatment when present.