Medicina intensiva最新文献

Objective: This study aimed to assess the clinical impact of oXiris-continuous hemofiltration adsorption on patients with septic shock and their prognosis.

Design: A retrospective study.

Participants: Septic shock patients.

Interventions: The oXiris group underwent hemofiltration adsorption using oXiris hemofilters and septic shock standard treatment, while the control group received septic shock standard treatment.

Main variables of interest: The changes in inflammatory indicators and short-term mortality rate were evaluated. Propensity score matching (PSM) was conducted based on the 1:2 ratio between the oXiris and control groups to account for any baseline data differences.

Results: Results showed that after 24 h, 48 h, and 72 h of treatment, PCT, IL-6, and hs-CRP levels in the oXiris group were significantly lower than those in the control group (P < 0.05). However, there were no significant differences in norepinephrine equivalents and organ function status (APACHE II score, SOFA score, Lac) between the two groups at the same time points. The 72-h mortality rate (21.88% vs. 34.04%) and the 7-day mortality rate (28.12% vs. 44.68%) were lower in the oXiris group compared to the control group, but not statistically significant. The 28-day mortality rate did not show a significant difference between the two groups (53.19% vs. 56.25%).

Conclusions: oXiris continuous hemofiltration adsorption technology may reduce the levels of inflammatory factors in patients with septic shock; however, it does not appear to enhance organ function or improve the 28-day mortality rate in these patients.

Cardiogenic shock (CS) is a highly complex clinical condition that requires a management strategy focused on early resolution of the underlying cause and the provision of circulatory support. In cases of refractory CS, mechanical circulatory support (MCS) is employed to replace the failed cardiocirculatory system, thereby preventing the development of multiorgan failure. There are various types of MCS, and patients with CS typically require devices that are either short-term (< 15 days) or intermediate-term (15-30 days). When choosing the device the underlying cause of CS, as well as the presence or absence of concomitant conditions such as failed ventricle, respiratory failure, and the intended purpose of the support should be taken into consideration. Patients with MCS require the comprehensive care indicated in complex critically ill patients with multiorgan dysfunction, with an emphasis on device monitoring and control. Different complications may arise during support management, and its withdrawal must be protocolized.

The present study highlights the advances in ultrasound, especially regarding its clinical applications to critically ill patients. Artificial intelligence (AI) is crucial in automating image interpretation, improving accuracy and efficiency. Software has been developed to make it easier to perform accurate bedside ultrasound examinations, even by professionals lacking prior experience, with automatic image optimization. In addition, some applications identify cardiac structures, perform planimetry of the Doppler wave, and measure the size of vessels, which is especially useful in hemodynamic monitoring and continuous recording. The "strain" and "strain rate" parameters evaluate ventricular function, while "auto strain" automates its calculation from bedside images. These advances, and the automatic determination of ventricular volume, make ultrasound monitoring more precise and faster. The next step is continuous monitoring using gel devices attached to the skin.

Patient safety is a priority for all healthcare systems. Despite this, too many patients still suffer harm as a consequence of healthcare. Furthermore, it has a significant impact on family members, professionals and healthcare institutions, resulting in considerable economic costs. The critically ill patient is particularly vulnerable to adverse events. Numerous safe practices have been implemented, acknowledging the influence of human factors on safety and the significance of the well-being of professionals, as well as the impact of critical episodes at hospital discharge on patients and their families. Training and engagement of professionals, patients and families are of paramount importance. Recently, artificial intelligence has demonstrated its ability to enhance clinical safety. This update on "Patient Safety" reviews all these aspects related to one of the most pivotal dimensions of healthcare quality.