Right ventricular dysfunction in the critically ill. Echocardiographic evaluation.

Right ventricular dysfunction is common in critically ill patients, and is associated with increased mortality. Its diagnosis moreover remains challenging. In this review, we aim to outline the potential mechanisms underlying abnormal biomechanics of the right ventricle and the different injury phenotypes. A comprehensive understanding of the pathophysiology and natural history of right ventricular injury can be informative for the intensivist in the diagnosis and management of this condition, and may serve to guide individualized treatment strategies. We describe the main recommended parameters for assessing right ventricular systolic and diastolic function. We also define how to evaluate cardiac output and pulmonary circulation pressures with echocardiography, with a focus on the diagnosis of acute cor pulmonale and relevant applications in critical disorders such as distress, septic shock, and right ventricular infarction.

Thrombotic microangiopathy (TMA) associated with pregnancy: role of the clinical laboratory in differential diagnosis.

Objectives: Thrombotic microangiopathy (TMA) is characterized by thrombocytopenia, microangiopathic hemolytic anemia and target organ damage. Pregnancy is associated with several forms of TMA, including preeclampsia (PE), HELLP syndrome, thrombotic thrombocytopenic purpura (TTP) and hemolytic uremic syndrome (HUS). When HUS is secondary to a deregulation of the alternative complement pathway, it is known as atypical HUS (aHUS). Differential diagnosis is challenging, as these forms share clinical characteristics. However, early diagnosis is crucial for a specific treatment to be established and improve prognosis. Case presentation: We present the case of a 43 year-old primiparous woman admitted to hospital for an urgent C-section at 33 gestational weeks due to a diagnosis of severe preeclampsia and fetal distress. In the immediate postpartum, the patient developed acute liver failure and anuric renal failure in the context of the HELLP syndrome, anemia, thrombocytopenia, arterial hypertension (HTN) and neurological deficit. TMA study and differential diagnosis confirmed pregnancy-associated aHUS. Treatment with eculizumab was initiated, with good response and progressive improvement of clinical and analytical parameters. Conclusions: aHUS is a rare multifactorial disease that used to be associated with high mortality rates before the advent of eculizumab. Due to challenging diagnosis, the clinical laboratory plays a major role in the differential diagnosis and management of the disease.

Design of a new mortality indicator in acute coronary syndrome on admission to the Intensive Care Unit.

OBJECTIVE: To design a mortality indicator in acute coronary syndrome (ACS) in the intensive care unit (ICU). DESIGN: A multicenter, observational descriptive study was carried out. PARTICIPANTS: Patients with ACS admitted to the ICUs included in the ARIAM-SEMICYUC registry between January 2013 and April 2019. INTERVENTIONS: None. MAIN VARIABLES OF INTEREST: Demographic parameters, time of access to the healthcare system, and clinical condition. Revascularization therapy, drugs and mortality were analyzed. Cox regression analysis was performed, followed by the design of a neural network. A receiver operating characteristic curve (ROC) was plotted to calculate the power of the new score. Lastly, the clinical utility or relevance of the ARIAM indicator (ARIAM's) was assessed using a Fagan test. RESULTS: A total of 17,258 patients were included in the study, with a mortality rate of 3.5% (n = 605) at discharge from the ICU. The variables showing statistical significance (P < .001) were entered into the supervised predictive model, an artificial neural network. The new ARIAM's yielded a mean of 0.0257 (95%CI: 0.0245-0.0267) in patients discharged from the ICU versus 0.27085 (95%CI: 0.2533-0.2886) in those who died (P < .001). The area under the ROC curve of the model was 0.918 (95%CI: 0.907-0.930). Based on the Fagan test, the ARIAM's showed the mortality risk to be 19% (95%CI: 18%-20%) when positive and 0.9% (95%CI: 0.8%-1.01%) when negative. CONCLUSIONS: A new mortality indicator for ACS in the ICU can be established that is more accurate and reproducible, and periodically updated.

Ecografía en el manejo del paciente crítico con infección por SARS-CoV-2 (COVID-19): aplicaciones clínicas en Medicina Intensiva-una revisión narrativa / Ultrasound in the Management of the Critically Ill Patient with SARS-CoV-2 Infection (COVID-19): clinical applications in Intensive Care Medicine -a narrative review

La infección por SARS-CoV-2 (COVID-19) se caracteriza por producir en las formas graves, un cuadro de insuficiencia respiratoria que puede evolucionar hacia neumonía y síndrome de distrés respiratorio agudo (SDRA), presentar complicaciones como fenómenos trombóticos y disfunción cardiaca, lo que motiva el ingreso en la Unidad de Cuidados Intensivos (UCI).La ecografía, convertida en una herramienta de uso habitual en la UCI, puede ser muy útil durante la pandemia COVID-19 ya que la información obtenida por el clínico puede ser interpretada e integrada en la valoración global durante la exploración del paciente. Este documento describe algunas de sus aplicaciones con el objetivo de proporcionar una guía a los médicos responsables adaptado al paciente crítico con COVID-19. Alguna de sus aplicaciones desde el ingreso en la UCI incluyen confirmar la correcta posición del tubo endotraqueal, facilitar la inserción segura de las vías, e identificar complicaciones y fenómenos trombóticos. Además, la ecografía pleuropulmonar puede ser una alternativa diagnóstica válida que permite evaluar el grado de afectación pulmonar, mediante el análisis de patrones ecográficos específicos, identificación del derrame pleural y del barotrauma. La ecocardiografía proporciona información acerca de la afectación cardíaca, detección del cor pulmonaley estados de shock

The clinical picture of SARS-CoV-2 infection (COVID-19) is characterized in its more severe form, by an acute respiratory failure which can worsen to pneumonia and acute respiratory distress syndrome (ARDS), and get complicated with thrombotic events and heart dysfunction. Therefore, admission to the Intensive Care Unit (ICU) is common.Ultrasound, which has become an everyday tool in the ICU, can be very useful during COVID-19 pandemic, since it provides the clinician with information which can be interpreted and integrated within a global assessment during the physical examination A description of some of the potential applications of ultrasound is depicted in this document, in order to supply the physicians taking care of these patients with a adapted guide to the intensive care setting.Some of its applications since ICU admission include verification of the correct position of the endotracheal tube, contribution to safe cannulation of lines, and identification of complications and thrombotic events. Furthermore, pleural and lung ultrasound can be an alternative diagnostic test to assess the degree of involvement of the lung parenchyma by means of the evaluation of specific ultrasound patterns, identification of pleural effusions and barotrauma. Echocardiography provides information of heart involvement, detects cor pulmonaleand shock states

Ultrasonography and procedures in intensive care medicine / Ecografía y procedimientos en Medicina Intensiva

The use of point-of-care ultrasonography (POCUS) is not limited to the diagnosis and/or monitoring of critically ill patients. Further, ultrasound guidance is of paramount relevance to aid in successfully and safely performing several procedures in the intensive care unit (ICU). In this article, we review the role of POCUS as a procedural guidance in the ICU. Core procedures include, but are not limited to, vascular cannulation, pericardiocentesis, thoracentesis, paracentesis, aspiration of soft-tissue collections/arthrocentesis and lumbar puncture. With time, the procedures performed by intensivists may extend beyond the core competencies depicted in this review. Ultrasound guidance should be part of the intensivist’s competencies, for which appropriate training should be achieved. (AU)

El uso de la ecografía no se limita al diagnóstico y/o monitorización del paciente crítico. Además, la guía ecográfica es de gran importancia para la ejecución exitosa y segura de diversos procedimientos en la Unidad de Cuidados Intensivos (UCI). En este artículo, revisamos el papel de la ecografía como guía intervencionista en la UCI. Los procedimientos ecodirigidos claves son, aunque no se limitan a estos, la canulación vascular, pericardiocentesis, toracocentesis, paracentesis, aspiración de colecciones de partes blandas/artrocentesis y la punción lumbar. Con el tiempo, los procedimientos realizados por los intensivistas se extenderán más allá de los descriptos en esta revisión. La guía ecográfica debe formar parte de las competencias del intensivista, para lo cual se requiere un entrenamiento adecuado. (AU)

Diseño de un nuevo indicador de mortalidad en el síndrome coronario agudo al ingreso en la Unidad de Cuidados Intensivos / Design of a new mortality indicator in acute coronary syndrome on admission to the Intensive Care Unit

Objetivo: Diseñar un indicador de mortalidad del síndrome coronario agudo (SCA) en el servicio de medicina intensiva (SMI). Diseño: Estudio descriptivo observacional multicéntrico. Participantes: Pacientes con SCA ingresados en SMI incluidos en el registro ARIAM- SEMICYUC entre enero del 2013 y abril del 2019. Intervenciones: Ninguna. Variables de interés principales: Las variables analizadas fueron demográficas, tiempo de acceso al sistema sanitario y estado clínico. Se analizó la terapia de revascularización, los fármacos y la mortalidad. Se realizó un análisis de regresión logística de COX y posteriormente se diseñó una red neuronal. Se elaboró una curva ROC para calcula la potencia del nuevo score. Finalmente, la utilidad clínica o relevancia del indicador ARIAM se evaluará mediante un gráfico de Fagan. Resultados: Se incluyó a 17.258 pacientes, con una mortalidad al alta del SMI del 3,5% (605). Las variables analizadas con significación estadística (p<0,001) fueron introducidas en el modelo predictivo supervisado, una red neuronal artificial. El nuevo indicador ARIAM mostro una media de 0,0257 (IC del 95%, 0,0245-0,0267) en los pacientes dados de alta de UCI y de 0,27085 (IC del 95%, 0,2533-0,2886) en los que fallecieron, p <0,001. El área ROC del modelo conseguido fue de 0,918 (IC del 95%, 0,907-0,930). En el test de Fagan se demostró que el indicador ARIAM muestra que la probabilidad de fallecimiento es del 19% (IC del 95%, 18-20%) cuando es positivo y del 0,9% (IC del 95%, 0,8-1,01%) cuando es negativo. Conclusiones: Es posible crear un nuevo indicador de mortalidad del SCA en el SMI que sea más exacto, reproducible y actualizable periódicamente. (AU)

Objective: To design a mortality indicator for acute coronary syndrome (ACS) in the intensive care unit (ICU). Design: Multicenter observational descriptive study. Participants: ACS patients admitted to SMI included in the ARIAM-SEMICYUC registry between January 2013 and April 2019. Interventions: None. Main variables of interest: Variables analyzed were demographic, time of access to the health system, and clinical condition. Revascularization therapy, drugs, and mortality were analyzed. A COX regression analysis was performed and subsequently a neural network was designed. An ROC curve was developed to calculate the power of the new score. Finally, the clinical utility or relevance of the ARIAM's indicator will be evaluated using a Fagan test. Results: 17,258 patients were included, with a 3.5% (605) mortality at discharge from the ICU. The variables analyzed with statistical significance (p<0.001) were entered into the supervised predictive model, an artificial neural network. The new ARIAM's indicator showed a mean of 0.0257 (95% CI: 0.0245–0.0267) in patients discharged from the ICU and 0.27085 (95% CI: 0.2533–0.2886) in those who died, p<0.001. The ROC area of the model achieved was 0.918 (95% CI: 0.907–0.930). The Fagan test showed that the ARIAM's Indicator shows that the probability of death is 19% (95% CI: 18%–20%) when it is positive and 0.9% (95% CI: 0.8%–1.01%) when it is negative. Conclusions: It is possible to create a new mortality indicator for ACS in the ICU that is more accurate, reproducible, and periodically updated. (AU)