RESUMO
Survivors of critical illness may present physical, psychological, or cognitive symptoms after hospital discharge, encompassed within what is known as post-intensive care syndrome. These alterations result from both the critical illness itself and the medical interventions surrounding it. For its prevention, the implementation of the ABCDEF bundle (Assess/treat pain, Breathing/awakening trials, Choice of sedatives, Delirium reduction, Early mobility and exercise, Family) has been proposed, along with additional strategies grouped under the acronym GHIRN (Good communication, Handout materials, Redefined ICU architectural design, Respirator, Nutrition). In addition to these preventive measures during the ICU stay, high-risk patients should be identified for subsequent follow-up through multidisciplinary teams coordinated by Intensive Care Medicine Departments.
RESUMO
The incidence of thrombosis in COVID-19 patients is exceptionally high among intensive care unit (ICU)-admitted individuals. We aimed to develop a clinical prediction rule for thrombosis in hospitalized COVID-19 patients. Data were taken from the Thromcco study (TS) database, which contains information on consecutive adults (aged ≥ 18) admitted to eight Spanish ICUs between March 2020 and October 2021. Diverse logistic regression model analysis, including demographic data, pre-existing conditions, and blood tests collected during the first 24 h of hospitalization, was performed to build a model that predicted thrombosis. Once obtained, the numeric and categorical variables considered were converted to factor variables giving them a score. Out of 2055 patients included in the TS database, 299 subjects with a median age of 62.4 years (IQR 51.5-70) (79% men) were considered in the final model (SE = 83%, SP = 62%, accuracy = 77%). Seven variables with assigned scores were delineated as age 25-40 and ≥70 = 12, age 41-70 = 13, male = 1, D-dimer ≥ 500 ng/mL = 13, leukocytes ≥ 10 × 103/µL = 1, interleukin-6 ≥ 10 pg/mL = 1, and C-reactive protein (CRP) ≥ 50 mg/L = 1. Score values ≥28 had a sensitivity of 88% and specificity of 29% for thrombosis. This score could be helpful in recognizing patients at higher risk for thrombosis, but further research is needed.
RESUMO
Critically ill polytrauma patients with hemorrhage require a rapid assessment to initiate hemostatic resuscitation in the shortest possible time with the activation of a massive transfusion or a critical hemorrhage management protocol. The hospital reality experienced during the COVID-19 pandemic in all countries was critical, as it was in Spain; according to the data published daily by the Ministry of Health on its website, during the period of this study, the occupancy rate of intensive care units (ICUs) by patients diagnosed with the novel coronavirus disease (COVID-19) rose to 23.09% in Spain, even reaching 45.23% at the end of January 2021. We aimed to analyze the changes observed during the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic period regarding the effectiveness of Spanish ICUs in terms of mortality reduction. We present a cross-sectional study that compares two cohorts of patients admitted to ICUs across all autonomous communities of Spain with a diagnosis of polytrauma. Results: Only age was slightly higher at admission during the first wave of the pandemic (47.74 ± 18.65 vs. 41.42 ± 18.82 years, p = 0.014). The transfusion rate during the pandemic increased by 10.4% compared to the previous stage (p = 0.058). Regarding hemostatic components, the use of tranexamic acid increased from 1.8% to 10.7% and fibrinogen concentrates from 0.9% to 1.9%. In the case of prothrombin complex concentrates, although there was a slight increase in their use, there were no significant differences during the pandemic compared to the previous period. Conclusion: Mortality showed no difference before and during the pandemic, despite the observed change in the transfusion policy. In summary, the immediate and global implementation of patient blood management (PBM) based on clinical transfusion algorithms should be mandatory in all hospitals in our country.
RESUMO
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