Practical approach to inhaled sedation in the critically ill patient. Sedation, analgesia and Delirium Working Group (GTSAD) of the Spanish Society of Intensive and Critical Care Medicine and Coronary Units (SEMICYUC).

The use of sedatives in Intensive Care Units (ICU) is essential for relieving anxiety and stress in mechanically ventilated patients, and it is related to clinical outcomes, duration of mechanical ventilation, and length of stay in the ICU. Inhaled sedatives offer benefits such as faster awakening and extubation, decreased total opioid and neuromuscular blocking agents (NMB) doses, as well as bronchodilator, anticonvulsant, and cardiopulmonary and neurological protective effects. Inhaled sedation is administered using a specific vaporizer. Isoflurane is the recommended agent due to its efficacy and safety profile. Inhaled sedation is recommended for moderate and deep sedation, prolonged sedation, difficult sedation, patients with acute respiratory distress syndrome (ARDS), status asthmaticus, and super-refractory status epilepticus. By offering these significant advantages, the use of inhaled sedatives allows for a personalized and controlled approach to optimize sedation in the ICU.

Towards better mortality prediction in cancer patients in the ICU: a comparative analysis of prognostic scales: systematic literature review.

OBJECTIVE: To evaluate the predictive ability of mortality prediction scales in cancer patients admitted to intensive care units (ICUs). DESIGN: A systematic review of the literature was conducted using a search algorithm in October 2022. The following databases were searched: PubMed, Scopus, Virtual Health Library (BVS), and Medrxiv. The risk of bias was assessed using the QUADAS-2 scale. SETTING: ICUs admitting cancer patients. PARTICIPANTS: Studies that included adult patients with an active cancer diagnosis who were admitted to the ICU. INTERVENTIONS: Integrative study without interventions. MAIN VARIABLES OF INTEREST: Mortality prediction, standardized mortality, discrimination, and calibration. RESULTS: Seven mortality risk prediction models were analyzed in cancer patients in the ICU. Most models (APACHE II, APACHE IV, SOFA, SAPS-II, SAPS-III, and MPM II) underestimated mortality, while the ICMM overestimated it. The APACHE II had the SMR (Standardized Mortality Ratio) value closest to 1, suggesting a better prognostic ability compared to the other models. CONCLUSIONS: Predicting mortality in ICU cancer patients remains an intricate challenge due to the lack of a definitive superior model and the inherent limitations of available prediction tools. For evidence-based informed clinical decision-making, it is crucial to consider the healthcare team's familiarity with each tool and its inherent limitations. Developing novel instruments or conducting large-scale validation studies is essential to enhance prediction accuracy and optimize patient care in this population.

Postintensive care syndrome in patients and family members. Analysis of COVID-19 and non-COVID-19 cohorts, with face-to-face follow-up at three months and one year.

OBJECTIVE: Compare prevalence and profile of post-intensive care patient (P-PICS) and family/caregiver (F-PICS) syndrome in two cohorts (COVID and non-COVID) and analyse risk factors for P-PICS. DESIGN: Prospective, observational cohort (March 2018-2023), follow-up at three months and one year. SETTING: 14-bed polyvalent Intensive Care Unit (ICU), Level II Hospital. PATIENTS OR PARTICIPANTS: 265 patients and 209 relatives. Inclusion criteria patients: age > 18 years, mechanical ventilation > 48 h, ICU stay > 5 days, delirium, septic shock, acute respiratory distress syndrome, cardiac arrest. Inclusion criteria family: those who attended. INTERVENTIONS: Follow-up 3 months and 1 year after hospital discharge. MAIN VARIABLES OF INTEREST: Patients: sociodemographic, clinical, evolutive, physical, psychological and cognitive alterations, dependency degree and quality of life. Main caregivers: mental state and physical overload. RESULTS: 64.9% PICS-P, no differences between groups. COVID patients more physical alterations than non-COVID (P = .028). These more functional deterioration (P = .005), poorer quality of life (P = .003), higher nutritional alterations (P = .004) and cognitive deterioration (P < .001). 19.1% PICS-F, more frequent in relatives of non-COVID patients (17.6% vs. 5.5%; P = .013). Independent predictors of PICS-P: first years of the study (OR: 0.484), higher comorbidity (OR: 1.158), delirium (OR: 2.935), several reasons for being included (OR: 3.171) and midazolam (OR: 4.265). CONCLUSIONS: Prevalence PICS-P and PICS-F between both cohorts was similar. Main factors associated with the development of SPCI-P were: higher comorbidity, delirium, midazolan, inclusion for more than one reason and during the first years.

Challenges in intensive medicine: Diversity, equity and inclusion. Gender statement of the Spanish Society of Intensive and Critical Medicine and Coronary Units (SEMICYUC).

Gender is a social determinant that impacts health and generates inequalities at all levels. It has impacts patients and critical conditions, health professionals and professional career development, and scientific societies from a perspective of social justice. All the International scientific societies of Intensive Care Medicine committed to contributing a gender perspective agree on the institutional need for achieving a formal positioning standpoint. The Spanish Society of Intensive and Critical Medicine and Coronary Units (SEMICYUC) is committed to ensuring the equality, inclusion and representativeness of its health professionals to fight the existing gender gap in the field of Intensive Medicine.