Perioperative Risk Factors for Intensive Care Unit Readmissions and Mortality After Cardiac Surgery.

OBJECTIVE: The aim of this study was to identify perioperative risk factors associated with intensive care unit readmission and in-hospital death after cardiac surgery. DESIGN: Retrospective analysis using a multivariate regression model to identify independent risk factors for intensive care unit [ICU] readmission and in-hospital mortality. SETTING: The study was carried out in a single tertiary-care hospital. PARTICIPANTS: This was an analysis of 2,789 adult patients. INTERVENTIONS: All patients underwent cardiac surgery and were admitted to the intensive care unit perioperatively at the General Hospital Vienna. MEASUREMENTS AND MAIN RESULTS: Among the 2,789 patients included in the analysis, 167 (6%) were readmitted to the intensive care unit during the same hospital stay. Preoperative risk factors associated with ICU readmission included end-stage renal failure (odds ratio [OR] 2.80, 95% CI: 1.126-6.964), arrhythmia (OR 1.59, 95% CI: 1.019-2.480), chronic obstructive pulmonary disease (OR 1.51, 95% CI: 1.018-2.237), age >80 (OR 2.55, 95% CI: 1.189-5.466), and European System for Cardiac Operative Risk Evaluation II >8 (OR 1.40, 95% CI: 1.013-1.940). Readmitted patients were more likely to die than nonreadmitted patients (OR 5.3, 95% CI: 3.284-8.558). In-hospital mortality in readmitted patients was 19.2%, whereas that in the nonreadmitted study population was 5.1%. CONCLUSION: Preoperative risk assessment is crucial for identifying cardiac surgery patients at risk of ICU readmission and in-hospital death. The potentially modifiable risk factors pinpointed by this study call for the optimization of care before surgery and after ICU discharge.

Antithrombin and Its Role in Host Defense and Inflammation.

Antithrombin (AT) is a natural anticoagulant that interacts with activated proteases of the coagulation system and with heparan sulfate proteoglycans (HSPG) on the surface of cells. The protein, which is synthesized in the liver, is also essential to confer the effects of therapeutic heparin. However, AT levels drop in systemic inflammatory diseases. The reason for this decline is consumption by the coagulation system but also by immunological processes. Aside from the primarily known anticoagulant effects, AT elicits distinct anti-inflammatory signaling responses. It binds to structures of the glycocalyx (syndecan-4) and further modulates the inflammatory response of endothelial cells and leukocytes by interacting with surface receptors. Additionally, AT exerts direct antimicrobial effects: depending on AT glycosylation it can bind to and perforate bacterial cell walls. Peptide fragments derived from proteolytic degradation of AT exert antibacterial properties. Despite these promising characteristics, therapeutic supplementation in inflammatory conditions has not proven to be effective in randomized control trials. Nevertheless, new insights provided by subgroup analyses and retrospective trials suggest that a recommendation be made to identify the patient population that would benefit most from AT substitution. Recent experiment findings place the role of various AT isoforms in the spotlight. This review provides an overview of new insights into a supposedly well-known molecule.

Inflammatory response in trauma patients: are there ways to decrease the inflammatory reaction?

PURPOSE OF REVIEW: Trauma patients are considered a complex population of patients in emergency medicine and need extensive, specialized therapy. One major part is the prevention and treatment of the inflammatory response, which occurs in patients after severe injury resulting in complications like endotheliopathy. Likely as a consequence, coagulopathy occurs. Sterile inflammation is hard to address, especially because of the lack of a single activator. Moreover, it is a complex composition of factors that lead to a pathologic immune response. Our understanding of these patterns is increasing, but the complete pathophysiologic changes have yet to be investigated. Therefore, there is no specific target to treat inflammatory response in trauma patients at the moment. RECENT FINDINGS: There is increasing knowledge of the pathways and mediators that are responsible for the inflammatory response in patients after severe trauma. The endothelial glycocalyx has been identified to be an integral part of these mechanisms. There have been several new therapeutic approaches to diminish the inflammatory response. SUMMARY: Our increasing understanding of the immune system have led to new potential therapeutic perspectives. All of these approaches need further research to be validated. As the current therapies are based on empirical strategies and have not changed much over the years, new treatment options would be an important progress.

[Trauma-Induced Coagulopathy: Pathophysiology and Management]. / Traumaassoziierte Koagulopathie: Pathophysiologie und Therapie.

Persistent, uncontrolled bleeding after trauma is one of the leading causes of fatalities in patients with severe injuries. 40% of trauma deaths are associated with massive haemorrhage. Hypoperfusion due to major loss of blood volume leads to tissue damage. In combination with acidosis and hypothermia, a generalized immune response with activation of coagulation is triggered. This leads to trauma-induced coagulopathy. A suitable, early treatment might lead to a significant reduction in morbidity and mortality.

Continuous Detection of Stimulus Brightness Differences Using Visual Evoked Potentials in Healthy Volunteers with Closed Eyes.

Background/Objectives: We defined the value of a machine learning algorithm to distinguish between the EEG response to no light or any light stimulations, and between light stimulations with different brightnesses in awake volunteers with closed eyelids. This new method utilizing EEG analysis is visionary in the understanding of visual signal processing and will facilitate the deepening of our knowledge concerning anesthetic research. Methods: X-gradient boosting models were used to classify the cortical response to visual stimulation (no light vs. light stimulations and two lights with different brightnesses). For each of the two classifications, three scenarios were tested: training and prediction in all participants (all), training and prediction in one participant (individual), and training across all but one participant with prediction performed in the participant left out (one out). Results: Ninety-four Caucasian adults were included. The machine learning algorithm had a very high predictive value and accuracy in differentiating between no light and any light stimulations (AUCROCall: 0.96; accuracyall: 0.94; AUCROCindividual: 0.96 ± 0.05, accuracyindividual: 0.94 ± 0.05; AUCROConeout: 0.98 ± 0.04; accuracyoneout: 0.96 ± 0.04). The machine learning algorithm was highly predictive and accurate in distinguishing between light stimulations with different brightnesses (AUCROCall: 0.97; accuracyall: 0.91; AUCROCindividual: 0.98 ± 0.04, accuracyindividual: 0.96 ± 0.04; AUCROConeout: 0.96 ± 0.05; accuracyoneout: 0.93 ± 0.06). The predictive value and accuracy of both classification tasks was comparable between males and females. Conclusions: Machine learning algorithms could almost continuously and reliably differentiate between the cortical EEG responses to no light or light stimulations using visual evoked potentials in awake female and male volunteers with eyes closed. Our findings may open new possibilities for the use of visual evoked potentials in the clinical and intraoperative setting.

The Austrian ICU survey : A questionnaire-based evaluation of intensive care medicine in Austria.

BACKGROUND: While structures of intensive care medicine in Austria are well defined, data on organisational and medical practice in intensive care units (ICUs) have not been systematically evaluated. METHODS: In this explorative survey, organisational and medical details of ICUs in Austria were collected using an online questionnaire consisting of 147 questions. RESULTS: Out of 249 registered ICUs 73 (29.3%) responded, 60 were adult, 10 pediatric/neonatal ICUs and 19, 25 and 16 ICUs were located in level I, II and III hospitals, respectively. Of the respondents 89% reported that the ICU director was board-certified in intensive care medicine. Consultants were constantly present in 78% of ICUs during routine working hours and in 45% during nights and weekends. The nurse:bed ratio varied between 1:1 and 1:2 in 74% during day shifts and 60% during night shifts. Routine physiotherapist rounds were reported to take place daily except weekends in 67% of ICUs. Common monitoring techniques were reported to be in routine or occasional use in 85% and 83% of ICUs, respectively. The majority of ICUs provided daily visiting hours ranging between 2-12 h. Waiting rooms for relatives were available in 66% and an electronic documentation system in 66% of ICUs. Written protocols were available in 70% of ICUs. CONCLUSION: The Austrian ICU survey suggests that ICUs in Austria are clearly structured, well-organized and well-equipped and have a high nurse:bed ratio. In view of the relatively low return rate we cannot exclude that a selection bias has led to overestimation of the survey findings.

A Prospective Observational Study on Multiplate®-, ROTEM®- and Thrombin Generation Examinations Before and Early After Implantation of a Left Ventricular Assist Device (LVAD).

Background: Heart failure patients are frequently on coagulation-active medications before LVAD implantation and perioperative bleeding is a frequent complication after left ventricular assist device (LVAD) implantation. The role of point-of-care coagulation tests in assessing bleeding risk for LVAD implantation and the early postoperative time course of these tests is not well established. Methods: We prospectively enrolled 25 patients with terminal heart failure undergoing LVAD implantation. Study related TRAP-, ASPI- and ADP- tests of Multiplate® platelet aggregometry, ROTEM® rotational thromboelastometry (INTEM, EXTEM, FIBTEM), thrombin generation assay and conventional laboratory studies were measured at 11 predefined time-points during the first 21 postoperative days. We examined if preoperative TRAP-, ASPI-, ADP- and ROTEM values are correlated with estimated total blood loss (primary outcome parameter) during the first 21 days after LVAD implantation and compared the baseline values of these measurements between patients with a bleeding event to those without. We performed Spearman's correlation and non-parametric tests for paired and non-paired comparisons. Results: 7 out of 25 (28%) patients experienced a bleeding event of which 4 required surgical revision. Of the preoperatively performed measurements the TRAP test [Spearman's Rho (ρ) = -0.5, p = 0.01], INTEM CFT (ρ = 0.72, p < 0.001), INTEM alpha (-0.7, p < 0.001), EXTEM MCF (ρ = -0.63; p < 0.001), EXTEM alpha (ρ = -0.67; p < 0.001), FIBTEM MCF (ρ = -0.41; p = 0.042), Fibrinogen (Clauss) (ρ = -0.5; p = 0.011), Anti-thrombin activity (ρ = -0.49; p = 0.013) and platelet count (ρ = -0.42; p = 0.034) were significantly correlated to total blood loss. Patients undergoing a surgical bleeding revision had significantly reduced values in TRAP-[31.5 IQR (17.25-43.5U) vs. 69 IQR (52.5-87U); p = 0.004], ASPI-[16.5 IQR (5.5-35.7U) vs. 39 IQR (24.5-62.5U); p = 0.038], ADP-[30 IQR (22-69U) vs. 12.5 IQR (8.7-21.5U); p = 0.01], EXTEM MCF-[63 IQR (57.7-63.7) vs. 67 IQR (65-75.5); p = 0.019] and EXTEM alpha [74 IQR (68.75-74) vs. 79 IQR (78-80.5); p = 0.002] values before LVAD implantation. Conclusion: Multiplate® and ROTEM® measurements before LVAD implantation may identify LVAD candidates with platelet dysfunction and alterations of the primary hemostasis and could guide anesthetists and intensive care practitioners in bleeding risk stratification and in the perioperative clinical management.

Pseudothrombocytopenia Inducing Nonindicated Platelet Transfusion after Cardiac Surgery.

Pseudothrombocytopenia (PTCP) is an in vitro phenomenon of low platelet count caused by the agglutination of platelets, leading to false low platelet counts in automated cell counting. Typically, ethylenediaminetetraacetic acid (EDTA) mediates this platelet clumping. PTCP has little clinical significance, but misdiagnosis may lead to unnecessary diagnostic tests and treatment. In this case report, we present a 65-year-old Caucasian female suffering from multiple complications during and after cardiac surgery. During her postoperative stay at the ICU, she was diagnosed with thrombocytopenia and an inadequate response to platelet supplementation.

Can Heparin-Coated ECMO Cannulas Induce Thrombocytopenia in COVID-19 Patients?

Extracorporeal membrane oxygenation (ECMO) is often used in the management of COVID-19-related severe respiratory failure. We report the first case of a patient with COVID-19-related ARDS on ECMO support who developed symptoms of heparin-induced thrombocytopenia (HIT) in the absence of heparin therapy. A low platelet count of 61 G/L was accompanied by the presence of circulating HIT antibodies 12 days after ECMO initiation. Replacement of the ECMO system including cannulas resulted in the normalization of the platelet count. However, the clinical situation did not improve, and the patient died 9 days later. Careful consideration of anticoagulant therapy and ECMO circuit, as well as routine HIT antibody testing, may prevent a fatal course in ECMO-supported COVID-19 patients.

Response patterns of routinely measured inflammatory and coagulatory parameters in sepsis.

BACKGROUND: Sepsis is characterized by a pro-inflammatory and pro-coagulatory shift which can induce life-threatening complications. Close monitoring and risk stratification of sepsis patients is crucial for proper treatment and consequently patient outcome. Therefore, this study focuses on the response patterns of inflammatory and coagulatory parameters used in clinical routines to estimate the course of sepsis. METHODS: A total of 1,110 patients diagnosed with sepsis were retrospectively analyzed to identify response patterns for risk stratification of routine parameters measured at the peak level of C-reactive protein. Cluster analysis was used and the differences in the patient characteristics and 28-day survival were assessed. Cox proportional hazards regression model for survival stratified by the clusters was performed. RESULTS: The analyses revealed the parameters to have five distinct response patterns. These clusters reflect the etiology as well as the course of sepsis associated with different mortalities. Here, impairment of the liver plays a crucial role in the ability to appropriately respond to sepsis. Of the routinely measured parameters, C-reactive protein and antithrombin seem to be unspecific for stratification of septic patients. Adjusted for the individual clusters, survival was associated with an increase in fibrinogen (p = 0.0042), platelets (p = 0.0003) and PT (p = 0.001) as well as a decrease in leukocytes (p = 0.034). CONCLUSIONS: This study reveals that patients have distinct response patterns of inflammatory and coagulatory parameters depending on disease etiology. These patterns are associated with different mortalities although the patients have similar levels of C-reactive protein. Independently of the type of response, good coagulatory capacity seems to be crucial for patient survival.