[Recommendations for the management of critically ill patients with COVID-19 in Intensive Care Units]. / Recomendaciones para el manejo de los pacientes críticos con COVID-19 en las Unidades de Cuidados Intensivos.

The COVID-19 pandemic has led to the admission of a high number of patients to the ICU, generally due to severe respiratory failure. Since the appearance of the first cases of SARS-CoV-2 infection, at the end of 2019, in China, a huge number of treatment recommendations for this entity have been published, not always supported by sufficient scientific evidence or with methodological rigor necessary. Thanks to the efforts of different groups of researchers, we currently have the results of clinical trials, and other types of studies, of higher quality. We consider it necessary to create a document that includes recommendations that collect this evidence regarding the diagnosis and treatment of COVID-19, but also aspects that other guidelines have not considered and that we consider essential in the management of critical patients with COVID-19. For this, a drafting committee has been created, made up of members of the SEMICYUC Working Groups more directly related to different specific aspects of the management of these patients.

Apps and intensive care medicine. / Apps y Medicina Intensiva.

Technological advances have played a key role over the last century in the development of humankind. Critical Care Medicine is one of the greatest examples of this revolution. Smartphones with multiple sensors constitute another step forward, and have led to the development of apps for use by both professionals and patients. We discuss their main medical applications in the field of Critical Care Medicine.

Recommendations for the management of critically ill patients with COVID-19 in Intensive Care Units.

The COVID-19 pandemic has led to the admission of a high number of patients to the ICU, generally due to severe respiratory failure. Since the appearance of the first cases of SARS-CoV-2 infection, at the end of 2019, in China, a huge number of treatment recommendations for this entity have been published, not always supported by sufficient scientific evidence or with methodological rigor necessary. Thanks to the efforts of different groups of researchers, we currently have the results of clinical trials, and other types of studies, of higher quality. We consider it necessary to create a document that includes recommendations that collect this evidence regarding the diagnosis and treatment of COVID-19, but also aspects that other guidelines have not considered and that we consider essential in the management of critical patients with COVID-19. For this, a drafting committee has been created, made up of members of the SEMICYUC Working Groups more directly related to different specific aspects of the management of these patients.

[Utility of the dead space fraction (Vd/Vt) as a predictor of extubation success]. / Valor de la fracción de espacio muerto (Vd/Vt) como predictor de éxito en la extubación.

PURPOSE: To determine the value of Vd/Vt as a predictor of extubation failure in patients with mechanical ventilation admitted to the intensive care units. DESIGN: A prospective, observational cohort study conducted from 1 September 2010 to 1 March 2011. SETTING: General intensive care unit (G-ICU) of a third level university hospital. PATIENTS OR PARTICIPANTS: The study included patients on mechanical ventilation (MV) for over 12 hours, and who in the process of weaning were subjected to low-level pressure support. Exclusion criteria were age under 18 years, ventilation via tracheotomy and patients failing to cooperate for different reasons. During the study, 392 patients were admitted to the G-ICU; of these, 214 required MV. The weaning process was started in 154 cases. Fifty-four patients were excluded from the study, and 24 were not extubated from MV. A total of 76 patients were finally extubated and analyzed. VARIABLES OF INTEREST: Vd/Vt was calculated as the ratio (PaCO(2)-Pє CO(2))/PaCO(2), with the recorded parameters. RESULTS: Logistic regression analysis showed a significant association between the Vd/Vt and extubation failure, with OR=1.52 (95%CI 1.11 to 2.09, p=0.008). The area under the ROC curve with respect to the prediction of extubation failure according to the Vd/Vt value was 0.94 (95%CI 0.86 to 0.98, p<0.0001). CONCLUSIONS: Vd/Vt is a powerful predictor of extubation failure in patients on MV.

Relationship between functional status prior to onset of critical illness and mortality: a prospective multicentre cohort study.

This prospective study aimed to assess the association between prior functional status and hospital mortality for patients admitted to four intensive care units in Spain between 2006 and 2012. Prior functional status was classified into three groups, using a modification of the Glasgow Outcome Scale (GOS), including group 1 with no limitations on activities of daily living; group 2 with some limitations but self-sufficient; and group 3 who were dependent on others for their activities of daily living. Of the 1,757 patients considered (mean Simplified Acute Physiology Score [SAPS] predicted mortality 14.8% and hospital mortality 13.7%), group 1 had the lowest observed hospital mortality (8.3%) compared to the SAPS 3 predicted mortality (11.6%). The observed mortality for group 2 (20.6%) and group 3 (27.4%) were both higher than predicted (19.2% and 21.2% respectively; odds ratio [OR] 1.97, 95% confidence interval [CI] 1.38-2.82 for group 2 and OR 2.90, 95% CI 1.78-4.72 for group 3 compared to group 1). Combining prior functional status and Sequential Organ Failure Assessment (SOFA) score with SAPS 3 further improved the ability of the SAPS 3 scores in predicting hospital mortality (area under the receiver operating characteristic curve 0.85 [95% CI 0.82-0.88] versus 0.84 [95% CI 0.81-0.87] respectively). In summary, patients with limited functional status prior to ICU admission had a higher risk of observed hospital mortality than predicted. Assessing prior functional status using a relatively simple questionnaire, such as a modified GOS, has the potential to improve the accuracy of existing prognostic models.