Anesthesia for Minimal Invasive Cardiac Surgery: The Bonn Heart Center Protocol.

The development and adoption of minimally invasive techniques has revolutionized various surgical disciplines and has also been introduced into cardiac surgery, offering patients less invasive options with reduced trauma and faster recovery time compared to traditional open-heart procedures with sternotomy. This article provides a comprehensive overview of the anesthesiologic management for minimally invasive cardiac surgery (MICS), focusing on preoperative assessment, intraoperative anesthesia techniques, and postoperative care protocols. Anesthesia induction and airway management strategies are tailored to each patient's needs, with meticulous attention to maintaining hemodynamic stability and ensuring adequate ventilation. Intraoperative monitoring, including transesophageal echocardiography (TEE), processed EEG monitoring, and near-infrared spectroscopy (NIRS), facilitates real-time assessment of cardiac and cerebral perfusion, as well as function, optimizing patient safety and improving outcomes. The peripheral cannulation techniques for cardiopulmonary bypass (CPB) initiation are described, highlighting the importance of cannula placement to minimize tissue as well as vessel trauma and optimize perfusion. This article also discusses specific MICS procedures, detailing anesthetic considerations and surgical techniques. The perioperative care of patients undergoing MICS requires a multidisciplinary approach including surgeons, perfusionists, and anesthesiologists adhering to standardized treatment protocols and pathways. By leveraging advanced monitoring techniques and tailored anesthetic protocols, clinicians can optimize patient outcomes and promote early extubation and enhanced recovery.

Effect of using smaller blood volume tubes and closed blood collection devices on total blood loss in patients undergoing major cardiac and vascular surgery.

BACKGROUND: Diagnostic laboratory tests are an integral part of managing hospitalized patients. In particular, patients in the intensive care units (ICUs) can experience a concerning amount of blood loss due to diagnostic testing, which can increase the risk developing iatrogenic anemia. Several interventions exist to curtail avoidable blood loss, for example computerized decision support, smaller phlebotomy tubes, and other blood conservation devices. Nevertheless, use of these interventions is not standardized. Therefore, the objective of our study was to quantify the daily phlebotomy volume taken from patients who had undergone major cardiac or vascular surgery. METHODS: We estimated the number of blood analyses and volumes of drawn blood of 400 consecutive patients (≥ 18 yr) undergoing major cardiac or vascular surgery. The amount of blood saved using small-volume tubes and in combination with blood conservation device rather than standard-volume tubes was estimated for serum chemistry (serum), ethylenediaminetetraacetic acid (EDTA) tubes, sodium citrate coagulation (SCC) tubes, and arterial blood gas (ABG) analysis. RESULTS: The mean total blood loss due to phlebotomy drawing using standard-volume tubes during hospitalization was 167.9 mL (95% confidence interval [CI], 158.0 to 177.8), 255.6 mL (95% CI, 226.5 to 284.6), and 695.3 mL (95% CI, 544.1 to 846.4) for patients undergoing cardiac surgery with a hospital length of stay (LOS) of 0-10, 11-20, and ≥ 21 days, respectively. The mean total blood loss due to phlebotomy during hospitalization was 80.5 mL (95% CI, 70.5 to 90.6), 225.0 mL (95% CI, 135.1 to 314.8 mL) and 470.3 mL (95% CI, 333.5 to 607.1) for vascular surgery patients with LOS 0-10, 11-20, and ≥ 21 days, respectively. Patients with at least a two-day stay at the ICU had a mean blood loss of 146.6 mL (95% CI, 134.6 to 158.6 mL) and those with ≥ 11 days incurred a loss of 1,428 mL (95% CI, 1,117.8 to 1,739.2). The use of closed blood collection device and small-volume tubes (serum, EDTA, SCC, and ABG) reduced blood loss by 82.8 mL for patients with an ICU stay of 2 days and up to 824.0 mL for patients with a ICU stay of ≥ 11 days. CONCLUSION: Diagnostic laboratory tests are associated with significant patient blood loss, but are a modifiable risk factor. The use of small-volume tubes and closed blood collection devices decreases the volume of patient blood drawn for analysis and prevents blood waste.

RéSUMé: CONTEXTE: Les tests diagnostiques de laboratoire font partie intégrante de la prise en charge des personnes hospitalisées. Plus spécifiquement, la patientèle des unités de soins intensifs (USI) peut perdre une quantité inquiétante de sang en raison des tests de diagnostic, ce qui peut augmenter le risque d'anémie iatrogène. Plusieurs interventions existent pour réduire les pertes de sang évitables, par exemple une aide à la décision informatisée, des tubes de phlébotomie plus petits et d'autres dispositifs de conservation du sang. Néanmoins, le recours à ces interventions n'est pas normalisé. Par conséquent, l'objectif de notre étude était de quantifier le volume quotidien de phlébotomie prélevée chez des patient·es ayant bénéficié d'une chirurgie cardiaque ou vasculaire majeure. MéTHODE: Nous avons estimé le nombre d'analyses sanguines et les volumes de sang prélevés de 400 personnes consécutives (≥ 18 ans) bénéficiant d'une chirurgie cardiaque ou vasculaire majeure. La quantité de sang économisée à l'aide de tubes de petit volume et en combinaison avec un dispositif de conservation du sang plutôt que des tubes de volume standard a été estimée pour la chimie sérique (sérum), les tubes d'acide éthylène-diamine-tétra-acétique (EDTA), les tubes de coagulation au citrate de sodium (CCS) et l'analyse des gaz du sang artériel (GSA). RéSULTATS: La perte sanguine totale moyenne due au prélèvement de phlébotomie à l'aide de tubes de volume standard pendant l'hospitalisation était de 167,9 mL (intervalle de confiance [IC] à 95 %, 158,0 à 177,8), 255,6 mL (IC 95 %, 226,5 à 284,6) et 695,3 mL (IC 95 %, 544,1 à 846,4) chez les patient·es bénéficiant d'une chirurgie cardiaque avec une durée de séjour à l'hôpital de 0 à 10, 11 à 20, et ≥ 21 jours, respectivement. La perte sanguine totale moyenne due à la phlébotomie pendant l'hospitalisation était de 80,5 mL (IC 95 %, 70,5 à 90,6), 225,0 mL (IC 95 %, 135,1 à 314,8 mL) et 470,3 mL (IC 95 %, 333,5 à 607,1) chez les patient·es ayant bénéficié d'une chirurgie vasculaire avec des durées de séjour de 0-10, 11-20 et ≥ 21 jours, respectivement. Les patient·es ayant séjourné au moins deux jours à l'USI ont eu une perte de sang moyenne de 146,6 mL (IC 95 %, 134,6 à 158,6 mL) et celles et ceux ayant séjourné ≥ 11 jours ont subi une perte de 1428 mL (IC 95 %, 1117,8 à 1739,2). L'utilisation d'un dispositif de prélèvement sanguin fermé et de tubes de petit volume (sérum, EDTA, SCC et gsa) a réduit la perte de sang de 82,8 mL pour les patient·es ayant séjourné à l'USI 2 jours et jusqu'à 824,0 mL pour les patient·es ayant séjourné en USI ≥ 11 jours. CONCLUSION: Les tests de laboratoire diagnostiques sont associés à une perte de sang importante chez les patient·es, mais constituent un facteur de risque modifiable. L'utilisation de tubes de petit volume et de dispositifs fermés de prélèvement sanguin diminue le volume de sang prélevé pour analyse et prévient le gaspillage de sang.

Anemia, red blood cell transfusion and administration of blood products in obstetrics: a nationwide analysis of more than 6 million cases from 2011-2020.

BACKGROUND: The prevalence of anemia is high, especially in obstetrics. There is large evidence, that anemia during pregnancy is associated with increased maternal morbidity and mortality. Anemia and peripartum hemorrhage remain the main causes for transfusion of red blood cells (RBC). Patient Blood Management (PBM) reduces the need for RBC transfusion significantly. The present study retrospectively analyzed the impact and prevalence of anemia and RBC transfusion on pregnant women. MATERIALS AND METHODS: Data were retrieved from the German Statistical Office on pregnant women who delivered in hospital between January 1st 2011 and December 31st 2020. The prevalence of anemia, peripartum hemorrhage, comorbidities, administration of blood products and complications were analyzed. RESULTS: A total of 6,356,046 pregnant women were analyzed of whom 78,257 (1.23%) received RBC transfusion (RBC transfusion group) and 6,277,789 (98.77%) did not receive RBC transfusion (non-RBC transfusion group). In all women analyzed anemia rate was 23.74%. The rates of anemia during pregnancy (70.39 vs 23.15%; p<0.0001), postpartum hemorrhage (41.42 vs 4.35%; p<0.0001), hospital length of stay (127.5 vs 87.08 hours; p<0.0001) and single complications were higher in women with RBC transfusion compared to women without RBC transfusion. DISCUSSION: The prevalence of anemia and the increased risk for RBC transfusion show that there is great potential for effective implementation of PBM in obstetrics. The treatment of anemia during pregnancy and reduction of RBC transfusions will decrease maternal morbidity and mortality.

Blood Product Transfusions for Children in the Perioperative Period and for Critically Ill Children.

BACKGROUND: Approximately 1% to 2% of all hospitalized children receive a transfusion of blood products, in Germany as in other countries. High-quality scientific evidence on transfusions in children is scarce. The available evidence is discussed in this review. METHODS: This review is based on publications on blood product transfusions in children that were retrieved by a literature search, including clinical studies, international guideline recommendations, the recommendations of the German cross-sectional guideline, and results of other recent, relevant publications. RESULTS: A restrictive transfusion strategy is recommended for all children, including those who are critically ill. Randomized controlled trials have shown that a restrictive strategy for erythrocyte concentrate transfusion in the intensive care unit is safe for children, including neonates. No robust data are available to enable the definition of a suitable threshold for the intraoperative administration of red blood cell concentrates in children undergoing extracardiac surgery. On the basis of studies from pediatric intensive care units, transfusions for hemodynamically stable children with a hemoglobin concentration of more than 7 g/dL are recommended only in exceptional cases. Therapeutic plasma is not recommended as volume replacement, except in massive transfusion. Platelet concentrate transfusions are indicated in case of active hemorrhage, and only rarely for prophylaxis. CONCLUSION: There is a broad lack of evidence from randomized controlled trials concerning the indications for transfusions in children. A restrictive transfusion strategy, which has been found safe in the intensive-care setting, is favored by the guidelines in the perioperative setting as well. Further studies are needed to evaluate transfusion triggers and indications for all types of blood products, especially therapeutic plasma. Until more evidence is available, physicians should be aware of what the current evidence supports, and blood products should be given restrictively, and not prophylactically.

Using Visual Patient to Show Vital Sign Predictions, a Computer-Based Mixed Quantitative and Qualitative Simulation Study.

BACKGROUND: Machine learning can analyze vast amounts of data and make predictions for events in the future. Our group created machine learning models for vital sign predictions. To transport the information of these predictions without numbers and numerical values and make them easily usable for human caregivers, we aimed to integrate them into the Philips Visual-Patient-avatar, an avatar-based visualization of patient monitoring. METHODS: We conducted a computer-based simulation study with 70 participants in 3 European university hospitals. We validated the vital sign prediction visualizations by testing their identification by anesthesiologists and intensivists. Each prediction visualization consisted of a condition (e.g., low blood pressure) and an urgency (a visual indication of the timespan in which the condition is expected to occur). To obtain qualitative user feedback, we also conducted standardized interviews and derived statements that participants later rated in an online survey. RESULTS: The mixed logistic regression model showed 77.9% (95% CI 73.2-82.0%) correct identification of prediction visualizations (i.e., condition and urgency both correctly identified) and 93.8% (95% CI 93.7-93.8%) for conditions only (i.e., without considering urgencies). A total of 49 out of 70 participants completed the online survey. The online survey participants agreed that the prediction visualizations were fun to use (32/49, 65.3%), and that they could imagine working with them in the future (30/49, 61.2%). They also agreed that identifying the urgencies was difficult (32/49, 65.3%). CONCLUSIONS: This study found that care providers correctly identified >90% of the conditions (i.e., without considering urgencies). The accuracy of identification decreased when considering urgencies in addition to conditions. Therefore, in future development of the technology, we will focus on either only displaying conditions (without urgencies) or improving the visualizations of urgency to enhance usability for human users.

Results from 237 extracorporeal membrane oxygenation runs with drowned patients: a nationwide retrospective study.

BACKGROUND: Drowning is one of the leading causes of death worldwide and presents with a wide range of symptoms, from simple coughing to cardiac or pulmonary failure. In severe cases, extracorporeal membrane oxygenation (ECMO) should be considered as a rescue therapy. Therefore, we sought to analyse ECMO usage, outcomes and predictive factors in drowned patients. METHODS: The Federal Statistical Office of Germany provided the study data. The patients included experienced drowning (ICD T75.1) and ECMO (OPS 8-852.0, 8-852.3) between 2007 and 2020. All age groups were included. Mortality was calculated for the total population and for ECMO patients. A multiple logistic regression model for ECMO patients was applied to account for predefined patient characteristics and complications. RESULTS: Of 12,354 patients who were hospitalised due to drowning, 237 patients (1.9%) received ECMO. Hospital mortality was 14.1% (n = 1741) overall and 74.7% (n = 177) for ECMO patients. In-hospital mortality was positively associated with cardiopulmonary resuscitation (CPR) before admission (odds ratio [OR] 4.49, 1.31-15.39) and in-hospital CPR (OR 6.28, 2.76-14.31). Stroke (OR 0.14, 0.02-0.96) and drug abuse (OR 0.05, 0.01-0.45) were negatively associated with in-hospital mortality. Neither the ECMO mode nor the patient's age and sex had statistically significant effects on survival. CONCLUSION: This study indicates that survival in drowned patients who receive ECMO is lower than previously reported. The proportion of paediatric patients was also smaller than expected. As the effects of different ECMO modes on mortality remain unclear, the need for further study remains great.

Expectations of Anesthesiology and Intensive Care Professionals Toward Artificial Intelligence: Observational Study.

BACKGROUND: Artificial intelligence (AI) applications offer numerous opportunities to improve health care. To be used in the intensive care unit, AI must meet the needs of staff, and potential barriers must be addressed through joint action by all stakeholders. It is thus critical to assess the needs and concerns of anesthesiologists and intensive care physicians related to AI in health care throughout Europe. OBJECTIVE: This Europe-wide, cross-sectional observational study investigates how potential users of AI systems in anesthesiology and intensive care assess the opportunities and risks of the new technology. The web-based questionnaire was based on the established analytic model of acceptance of innovations by Rogers to record 5 stages of innovation acceptance. METHODS: The questionnaire was sent twice in 2 months (March 11, 2021, and November 5, 2021) through the European Society of Anaesthesiology and Intensive Care (ESAIC) member email distribution list. A total of 9294 ESAIC members were reached, of whom 728 filled out the questionnaire (response rate 728/9294, 8%). Due to missing data, 27 questionnaires were excluded. The analyses were conducted with 701 participants. RESULTS: A total of 701 questionnaires (female: n=299, 42%) were analyzed. Overall, 265 (37.8%) of the participants have been in contact with AI and evaluated the benefits of this technology higher (mean 3.22, SD 0.39) than participants who stated no previous contact (mean 3.01, SD 0.48). Physicians see the most benefits of AI application in early warning systems (335/701, 48% strongly agreed, and 358/701, 51% agreed). Major potential disadvantages were technical problems (236/701, 34% strongly agreed, and 410/701, 58% agreed) and handling difficulties (126/701, 18% strongly agreed, and 462/701, 66% agreed), both of which could be addressed by Europe-wide digitalization and education. In addition, the lack of a secure legal basis for the research and use of medical AI in the European Union leads doctors to expect problems with legal liability (186/701, 27% strongly agreed, and 374/701, 53% agreed) and data protection (148/701, 21% strongly agreed, and 343/701, 49% agreed). CONCLUSIONS: Anesthesiologists and intensive care personnel are open to AI applications in their professional field and expect numerous benefits for staff and patients. Regional differences in the digitalization of the private sector are not reflected in the acceptance of AI among health care professionals. Physicians anticipate technical difficulties and lack a stable legal basis for the use of AI. Training for medical staff could increase the benefits of AI in professional medicine. Therefore, we suggest that the development and implementation of AI in health care require a solid technical, legal, and ethical basis, as well as adequate education and training of users.

Evaluation of a Pre-Filled Table and a Flowchart-Based Algorithm as Cognitive Aids to Reduce Deviations in Dose Calculation for Intraoperative Red Blood Cell Transfusions in Children-An International Web-Based Simulation.

BACKGROUND: Transfusion of red blood cell concentrate can be life-saving, but requires accurate dose calculations in children. AIMS: We tested the hypothesis that cognitive aids would improve identification of the correct recommended volumes and products, according to the German National Transfusion guidelines, in pediatric transfusion scenarios. METHODS: Four online questionnaire-based scenarios, two with hemodynamically stable and two with hemodynamically unstable children, were sent to German and international pediatric anesthetists for completion. In the two stable scenarios, participants were given pre-filled tables that contained all required information. For the two emergency scenarios, existing algorithms were used and required calculation by the user. The results were classified into three categories of deviations from the recommended values (DRV): DRV120 (<80% or >120%), as the acceptable variation; DRV 300 (<33% or >300%), the deviation of concern for potential harm; and DRV 1000 (<10% or >1000%), the excessive deviation with a high probability of harm. RESULTS: A total of 1.458 pediatric anesthetists accessed this simulation questionnaire, and 402 completed questionnaires were available for analysis. A pre-filled tabular aid, avoiding calculations, led to a reduction in deviation rates in the category of DRV120 by 60% for each and of DRV300 by 17% and 20%, respectively. The use of algorithms as aids for unstable emergencies led to a reduction in the deviation rate only for DRV120 (20% and 15% respectively). In contrast, the deviation rates for DRV300 and DRV1000 rose by 37% and 16%, respectively. Participants used higher transfusion thresholds for the emergency case of a 2-year-old compromised child than for the stable case with a patient of the same age (on average, 8.6 g/dL, 95% CI 8.5-8.8 versus 7.1 g/dL, 95% CI 7.0-7.2, p < 0.001) if not supported by our aids. Participants also used a higher transfusion threshold for unstable children aged 3 months than for stable children of the same age (on average, 8.9 g/dL, 95% CI 8.7-9.0 versus 7.9 g/dL, 95% CI 7.7-8.0, p < 0.001). CONCLUSIONS: The use of cognitive aids with precalculated transfusion volumes for determining transfusion doses in children may lead to improved adherence to published recommendations, and could potentially reduce dosing deviations outside those recommended by the German national transfusion guidelines.

Attitudes of Anesthesiologists toward Artificial Intelligence in Anesthesia: A Multicenter, Mixed Qualitative-Quantitative Study.

Artificial intelligence (AI) is predicted to play an increasingly important role in perioperative medicine in the very near future. However, little is known about what anesthesiologists know and think about AI in this context. This is important because the successful introduction of new technologies depends on the understanding and cooperation of end users. We sought to investigate how much anesthesiologists know about AI and what they think about the introduction of AI-based technologies into the clinical setting. In order to better understand what anesthesiologists think of AI, we recruited 21 anesthesiologists from 2 university hospitals for face-to-face structured interviews. The interview transcripts were subdivided sentence-by-sentence into discrete statements, and statements were then grouped into key themes. Subsequently, a survey of closed questions based on these themes was sent to 70 anesthesiologists from 3 university hospitals for rating. In the interviews, the base level of knowledge of AI was good at 86 of 90 statements (96%), although awareness of the potential applications of AI in anesthesia was poor at only 7 of 42 statements (17%). Regarding the implementation of AI in anesthesia, statements were split roughly evenly between pros (46 of 105, 44%) and cons (59 of 105, 56%). Interviewees considered that AI could usefully be used in diverse tasks such as risk stratification, the prediction of vital sign changes, or as a treatment guide. The validity of these themes was probed in a follow-up survey of 70 anesthesiologists with a response rate of 70%, which confirmed an overall positive view of AI in this group. Anesthesiologists hold a range of opinions, both positive and negative, regarding the application of AI in their field of work. Survey-based studies do not always uncover the full breadth of nuance of opinion amongst clinicians. Engagement with specific concerns, both technical and ethical, will prove important as this technology moves from research to the clinic.

Visual Blood, a 3D Animated Computer Model to Optimize the Interpretation of Blood Gas Analysis.

Acid-base homeostasis is crucial for all physiological processes in the body and is evaluated using arterial blood gas (ABG) analysis. Screens or printouts of ABG results require the interpretation of many textual elements and numbers, which may delay intuitive comprehension. To optimise the presentation of the results for the specific strengths of human perception, we developed Visual Blood, an animated virtual model of ABG results. In this study, we compared its performance with a conventional result printout. Seventy physicians from three European university hospitals participated in a computer-based simulation study. Initially, after an educational video, we tested the participants' ability to assign individual Visual Blood visualisations to their corresponding ABG parameters. As the primary outcome, we tested caregivers' ability to correctly diagnose simulated clinical ABG scenarios with Visual Blood or conventional ABG printouts. For user feedback, participants rated their agreement with statements at the end of the study. Physicians correctly assigned 90% of the individual Visual Blood visualisations. Regarding the primary outcome, the participants made the correct diagnosis 86% of the time when using Visual Blood, compared to 68% when using the conventional ABG printout. A mixed logistic regression model showed an odds ratio for correct diagnosis of 3.4 (95%CI 2.00-5.79, p < 0.001) and an odds ratio for perceived diagnostic confidence of 1.88 (95%CI 1.67-2.11, p < 0.001) in favour of Visual Blood. A linear mixed model showed a coefficient for perceived workload of -3.2 (95%CI -3.77 to -2.64) in favour of Visual Blood. Fifty-one of seventy (73%) participants agreed or strongly agreed that Visual Blood was easy to use, and fifty-five of seventy (79%) agreed that it was fun to use. In conclusion, Visual Blood improved physicians' ability to diagnose ABG results. It also increased perceived diagnostic confidence and reduced perceived workload. This study adds to the growing body of research showing that decision-support tools developed around human cognitive abilities can streamline caregivers' decision-making and may improve patient care.

[Evaluation of Characteristics and Management of Influenza Patients in Relation to the STIKO Vaccination Recommendation During the 2017/2018 Season]. / Evaluation von Charakteristika und Management von Influenzapatienten in Bezug auf die STIKO Impfempfehlung während der Saison 2017/2018.

BACKGROUND: Every year a large number of patients is suffering from influenza infection with often severe outcome. The influenza season 2017/2018 was characterized by a high number of cases (in Germany>346,000 laboratory-confirmed cases), but also by a high rate of hospitalizations with sometimes severe clinical outcome - also in the group of patients under 60 years. AIM: The aim of the present study was to find out whether patients not fullfilling the STIKO vaccination recommendation in the 2017/18 season were suffering from a worse outcome. MATERIALS AND METHODS: All laboratory-confirmed influenza patients at Frankfurt University Hospital were retrospectively analyzed for disease severity with respect to the primary endpoint. Secondary endpoints were defined as demographic data, length of hospital stay, previous illnesses, intensive care therapy and its duration, drug therapy, and mortality. RESULTS: Fifty-one of 303 patients (16.8%) required intensive care treatments. Of these 51, 46 patients (90.2%) belonged to the group that should have been vaccinated according to the vaccination recommendations according to STIKO, 5 patients (9.8%) did not belong to this group (p=0.434). Of the 51 ICU patients, 16 (31.4%) died. All deceased were from the group with vaccination recommendation (p=0.120). CONCLUSIONS: Based on these data, it appears that severe disease progression occurs in both the group of patients with and without STIKO vaccination recommendation, but deaths occur only in the group of patients with recommendation.

What airway management information do anaesthetic charts prompt for? An audit of charts from 132 hospitals across Australia and New Zealand.

Anaesthetists can make safer airway plans if they know which airway techniques worked previously and which ones did not. Anaesthetic charts do not always capture this information, however, and guidelines from the Australian and New Zealand College of Anaesthetists do not specify what details on airway management they should include. To assess how anaesthetic charts support airway documentation, we audited the airway management section of blank charts from 132 hospitals accredited for training by the Australian and New Zealand College of Anaesthetists. We evaluated charts for the presence of 17 clinically important data fields describing tracheal intubation, supraglottic airway use and bag-mask ventilation. Our audit revealed that data fields on anaesthetic charts focus more on tracheal intubation than bag-mask ventilation or supraglottic airway use. Nearly all charts (99%) had prompts for intubation and most had prompts for both operator technique and patient outcome. For supraglottic airway use, 95% of charts had at least one data field, but few had prompts for difficulty or outcome. For bag-mask ventilation, 58% of charts had a data field for difficulty but most of these were subjective; few (1.5%) included any outcome measures. Data fields describing bag-mask ventilation and supraglottic airway use were also inconsistent. In summary, data fields on Australian and New Zealand anaesthetic charts focus on tracheal intubation with consistent prompts for both operator method and outcome. The inclusion of fields for outcome and difficulty of bag-mask ventilation and supraglottic airway use could help clinicians make better records of airway management.

Effect of quantitative versus qualitative neuromuscular blockade monitoring on rocuronium consumption in patients undergoing abdominal and gynecological surgery: a retrospective cohort study.

The level of neuromuscular blockade can be assessed by subjective (qualitative) and objective (quantitative) methods. This study aims to compare the dosage of the neuromuscular blocking agents (NMBA) rocuronium and the need for reversion by sugammadex between those methods. A retrospective, observational analysis was conducted. In the tactile qualitative-neuromuscular monitoring-group (tactile NMM) (n = 244), muscle contractions were assessed tactilely. In the quantitative neuromuscular monitoring-group (n = 295), contractions were accessed using an acceleromyograph. Primary endpoints were dosage of rocuronium per minute operation-time (milligram per kilogram bodyweight per minute (mg/kgBW/min)), count of repeated rocuronium administrations and use of sugammadex. Secondary endpoints were: NMM use before repeated NMBA application or extubation, time to extubation, post-operative oxygen demand. A total of n = 539 patients were included. n = 244 patients were examined with tactile NMM and 295 patients by quantitative NMM. Quantitative NMM use resulted in significantly lower rocuronium dosing (tactile NMM: 0.01 (± 0.007) mg/kgBW/min vs. quantitative NMM: 0.008 (± 0.006) mg/kgBW/min (p < 0.001)). In quantitative NMM use fewer repetitions of rocuronium application were necessary (tactile NMM: 83% (n = 202) vs. quantitative NMM: 71% (n = 208) p = 0.007). Overall, 24% (n = 58) in the tactile NMM-group, and 20% (n = 60) in the quantitative NMM-group received sugammadex ((p = 0.3), OR: 1.21 (0.81-1.82)). Significantly fewer patients in the quantitative NMM-group required oxygen-supply postoperative (quantitative NMM: 43% (n = 120)) vs. tactile NMM: 57% (n = 128)) (p = 0.002). The use of quantitative assessment of NMBA results in a lower overall dosage and requires fewer repetitions of rocuronium application. Therefore, quantitative monitoring systems should be used to monitor NMBA intraoperatively to reduce NMBA dosing, while achieving continuous neuromuscular blockade.

Preoperative anaemia and red blood cell transfusion in patients with aneurysmal subarachnoid and intracerebral haemorrhage - a multicentre subanalysis of the German PBM Network Registry.

PURPOSE: Anaemia is common in patients presenting with aneurysmal subarachnoid (aSAH) and intracerebral haemorrhage (ICH). In surgical patients, anaemia was identified as an idenpendent risk factor for postoperative mortality, prolonged hospital length of stay (LOS) and increased risk of red blood cell (RBC) transfusion. This multicentre cohort observation study describes the incidence and effects of preoperative anaemia in this critical patient collective for a 10-year period. METHODS: This multicentre observational study included adult in-hospital surgical patients diagnosed with aSAH or ICH of 21 German hospitals (discharged from 1 January 2010 to 30 September 2020). Descriptive, univariate and multivariate analyses were performed to investigate the incidence and association of preoperative anaemia with RBC transfusion, in-hospital mortality and postoperative complications in patients with aSAH and ICH. RESULTS: A total of n = 9081 patients were analysed (aSAH n = 5008; ICH n = 4073). Preoperative anaemia was present at 28.3% in aSAH and 40.9% in ICH. RBC transfusion rates were 29.9% in aSAH and 29.3% in ICH. Multivariate analysis revealed that preoperative anaemia is associated with a higher risk for RBC transfusion (OR = 3.25 in aSAH, OR = 4.16 in ICH, p < 0.001), for in-hospital mortality (OR = 1.48 in aSAH, OR = 1.53 in ICH, p < 0.001) and for several postoperative complications. CONCLUSIONS: Preoperative anaemia is associated with increased RBC transfusion rates, in-hospital mortality and postoperative complications in patients with aSAH and ICH. TRIAL REGISTRATION: ClinicalTrials.gov , NCT02147795, https://clinicaltrials.gov/ct2/show/NCT02147795.

[Preoperative Assessment and Improvement of Patient's Medical Conditions]. / Outcome-relevante Anästhesiologie: präoperative Vorbereitung und Optimierung.

Patient safety and reduction of postoperative complications are the top priorities for anaesthesiologists in everyday clinical practice. Therefore, preoperative assessment and optimization of patient specific risk factors are crucial for reduction of postoperative morbidity and mortality. Understanding the patient's medical history and clinical examination represent the two most important aspects of preoperative patient evaluation by the anaesthesiologist. In addition, there are several clinical scores to specify the patient's individual perioperative risk according to the existing comorbidities. These specific assessment tools are easily accessible and have proven effective in everyday clinical practice. Special attention should be paid to preoperative cardiac, respiratory and metabolic conditions. The combination of risk stratification and strategies to improve the patient's preoperative medical status are capable to reduce complications in the postoperative period.

Extracorporeal membrane oxygenation in coronavirus disease 2019: A nationwide cohort analysis of 4279 runs from Germany.

BACKGROUND: In the context of the coronavirus disease 2019 (COVID-19) pandemic, many retrospective single-centre or specialised centre reports have shown promising mortality rates with the use of extracorporeal membrane oxygenation (ECMO) therapy. However, the mortality rate of an entire country throughout the COVID-19 pandemic remains unknown. OBJECTIVES: The primary objective is to determine the hospital mortality in COVID-19 patients receiving venovenous ECMO (VV-ECMO) and veno-arterial ECMO (VA-ECMO) therapy. Secondary objectives are the chronological development of mortality during the pandemic, the analysis of comorbidities, age and complications. DESIGN: Cohort study. SETTING: Inpatient data from January 2020 to September 2021 of all hospitals in Germany were analysed. PARTICIPANTS: All COVID-19-positive patients who received ECMO therapy were analysed according to the appropriate international statistical classification of diseases and related health problem codes (ICDs) and process key codes (OPSs). MAIN OUTCOME MEASURES: The primary outcome was the hospital mortality. RESULTS: In total, 4279 COVID-19-positive patients who received ECMO therapy were analysed. Among 404 patients treated with VA-ECMO and 3875 treated with VV-ECMO, the hospital mortality was high: 72% (n = 291) for VA-ECMO and 65.9% (n = 2552) for VV-ECMO. A total of 43.2% (n = 1848) of all patients were older than 60 years with a hospital mortality rate of 72.7% (n = 172) for VA-ECMO and 77.6% (n = 1301) for VV-ECMO. CPR was performed in 44.1% (n = 178) of patients with VA-ECMO and 16.4% (n = 637) of patients with VV-ECMO. The mortality rates widely varied from 48.1 to 84.4% in individual months and worsened from March 2020 (59.2%) to September 2021 (78.4%). CONCLUSION: In Germany, a large proportion of elderly patients with COVID-19 were treated with ECMO, with an unacceptably high hospital mortality. Considering these data, the unconditional use of ECMO therapy in COVID-19 must be carefully considered and advanced age should be considered as a relative contraindication.

Influence of anaemia in severely injured patients on mortality, transfusion and length of stay: an analysis of the TraumaRegister DGU®.

PURPOSE: Anaemia is one of the leading causes of death among severely injured patients. It is also known to increase the risk of death and prolong the length of hospital stay in various surgical groups. The main objective of this study is to analyse the anaemia rate on admission to the emergency department and the impact of anaemia on in-hospital mortality. METHODS: Data from the TraumaRegister DGU® (TR-DGU) between 2015 and 2019 were analysed. Inclusion criteria were age ≥ 16 years and most severe Abbreviated Injury Scale (AIS) score ≥ 3. Patients were divided into three anaemia subgroups: no or mild anaemia (NA), moderate anaemia (MA) and severe anaemia (SA). Pre-hospital data, patient characteristics, treatment in the emergency room (ER), outcomes, and differences between trauma centres were analysed. RESULTS: Of 67,595 patients analysed, 94.9% (n = 64,153) exhibited no or mild anaemia (Hb ≥ 9 g/dl), 3.7% (n = 2478) displayed moderate anaemia (Hb 7-8 g/dl) and 1.4% (n = 964) presented with severe anaemia (Hb < 7 g/dl). Haemoglobin (Hb) values ranged from 3 to 18 g/dl with a mean Hb value of 12.7 g/dl. In surviving patients, anaemia was associated with prolonged length of stay (LOS). Multivariate logistic regression analyses revealed moderate (p < 0.001 OR 1.88 (1.66-2.13)) and severe anaemia (p < 0.001 OR 4.21 (3.46-5.12)) to be an independent predictor for mortality. Further significant predictors are ISS score per point (OR 1.0), age 70-79 (OR 4.8), age > 80 (OR 12.0), severe pre-existing conditions (ASA 3/4) (OR 2.26), severe head injury (AIS 5/6) (OR 4.8), penetrating trauma (OR 1.8), unconsciousness (OR 4.8), shock (OR 2.2) and pre-hospital intubation (OR 1.6). CONCLUSION: The majority of severely injured patients are admitted without anaemia to the ER. Injury-associated moderate and severe anaemia is an independent predictor of mortality in severely injured patients.