Die Anaesthesiologie最新文献

Background: Cardiac biomarkers, such as high-sensitivity cardiac troponin (hs-cTn) and brain natriuretic peptide (BNP) or N‑terminal prohormone of brain natriuretic peptide (NT-proBNP) are measured perioperatively to improve the prognosis and risk prediction. The European Society of Cardiology (ESC), European Society of Anesthesiology and Intensive Care (ESAIC) and the German Society of Anesthesiology and Intensive Care Medicine (DGAI) have recently published guidelines on the use of cardiac biomarkers prior to surgery.

Objective/research question: This article provides an overview of the available evidence on perioperative troponin and BNP/NT-proBNP measurements. Current guideline recommendations are presented and discussed.

Material and methods: MEDLINE, Cochrane and google.scholar were searched for relevant keywords. Titles and abstracts of identified papers were checked for relevance and published results were summarized. Guideline recommendations from the ESC, ESAIC and DGAI are presented, compared and evaluated based on the available literature. In addition, the significance of new perioperative cardiac biomarkers is discussed based on the existing evidence.

Results: The definitions, diagnosis and management of cardiovascular events in the perioperative context differ from those in the nonsurgical setting. The evidence for the measurement of hs-cTn and BNP/NT-proBNP is evaluated differently in the guidelines and the resulting recommendations are partly contradictory. In particular, recommendations for changes in perioperative management based on biomarker measurements diverge. The ESC guidelines propose an algorithm that uses preoperative biomarkers as the basis for additional cardiac investigations. In particular, invasive coronary angiography is recommended for patients with stable chronic coronary syndrome who have no preoperative cardiac symptoms but elevated biomarkers. In contrast, the ESAIC guidelines emphasize that the available evidence is not sufficient to use perioperative biomarker measurements as a basis for a change in perioperative management.

Discussion: Treating physicians should coordinate interdisciplinary (surgery, anesthesiology, cardiology) recommendations for clinical practice based on the aforementioned guidelines. If cardiac biomarkers are routinely determined in high-risk patients, this should be done in accordance with the ESC algorithm.

Background: Pregnant women with coronavirus disease 2019 (COVID-19) are at increased risk of severe disease progression. Comorbidities, such as chronic arterial hypertension, diabetes mellitus, advanced maternal age and high body mass index, may predispose to severe disease. The management of pregnant COVID-19 patients on the intensive care unit (ICU) is challenging and requires careful consideration of maternal, fetal and ethical issues.

Objective: Description and discussion of intensive care treatment strategies and perinatal anesthesiological management in patients with COVID-19 acute respiratory distress syndrome (CARDS).

Material and methods: We analyzed the demographic data, maternal medical history, clinical intensive care management, complications, indications and management of extracorporeal membrane oxygenation (ECMO) and infant survival of all pregnant patients treated for severe CARDS in the anesthesiological ICU of a German university hospital between March and November 2021.

Results: The cohort included 9 patients with a mean age of 30.3 years (range 26-40 years). The gestational age ranged from 21 + 3 weeks to 37 + 2 weeks. None of the patients had been vaccinated against SARS-CoV‑2. Of the nine patients seven were immigrants and communication was hampered by inadequate Central European language skills. Of the patients five had a P_aO₂/F_iO₂ index < 150 mm Hg despite escalated invasive ventilation (F_iO₂ > 0.9 and a positive end-expiratory pressure [PEEP] of 14 mbar) and were therefore treated with repeated prolonged prone positioning maneuvers (5-14 prone positions for 16 h each, a total of 47 prone positioning treatments) and 2 required treatment with inhaled nitric oxide and venovenous ECMO. The most common complications were bacterial superinfection of the lungs, urinary tract infection and delirium. All the women and five neonates survived. All newborns were delivered by cesarean section, two patients were discharged home with an intact pregnancy and two intrauterine fetal deaths were observed. None of the newborns tested positive for SARS-CoV‑2 at birth.

Conclusion: High survival rates are possible in pregnant patients with CARDS. The peripartum management of pregnant women with CARDS requires close interdisciplinary collaboration and should prioritize maternal survival in early pregnancy. In our experience, prolonged prone positioning, an essential evidence-based cornerstone in the treatment of ARDS, can also be safely used in advanced stages of pregnancy. Inhaled nitric oxide (iNO) and ECMO should be considered as life-saving treatment options for carefully selected patients. For cesarean section, neuraxial anesthesia can be safely performed in patients with mild CARDS if well planned but the therapeutic anticoagulation recommended for COVID-19 may inc

The German airway management guidelines are intended to serve as an orientation and decision-making aid and thus contribute to the optimal care of patients undergoing anesthesiologic- and intensive medical care. As part of the pre-anesthesiologic evaluation, anatomical and physiological indications for difficult mask ventilation and intubation shall be evaluated. This includes the assessment of mouth opening, dental status, mandibular protrusion, cervical spine mobility and existing pathologies. The airway shall be secured while maintaining spontaneous breathing if there are predictors or anamnestic indications of difficult or impossible mask ventilation and/or endotracheal intubation. Various techniques can be used here. If there is an unexpectedly difficult airway, a video laryngoscope is recommended after unsuccessful direct laryngoscopy, consequently a video laryngoscope must be available at every anesthesiology workplace. The airway shall primarily be secured with a video laryngoscope in critically ill- and patients at risk of aspiration. Securing the airway using translaryngeal and transtracheal techniques is the "ultima ratio" in airway management. The performance or supervision of airway management in the intensive care unit is the responsibility of experienced physicians and nursing staff. Appropriate education and regular training are essential. Clear communication and interaction between team members are mandatory before every airway management procedure. Once the airway has been secured, the correct position of the endotracheal tube must be verified using capnography.

The 70 recommendations summarize the current status of preoperative risk evaluation of adult patients prior to elective non-cardiothoracic surgery. Based on the joint publications of the German scientific societies for anesthesiology and intensive care medicine (DGAI), surgery (DGCH), and internal medicine (DGIM), which were first published in 2010 and updated in 2017, as well as the European guideline on preoperative cardiac risk evaluation published in 2022, a comprehensive re-evaluation of the recommendation takes place, taking into account new findings, the current literature, and current guidelines of international professional societies. The revised multidisciplinary recommendation is intended to facilitate a structured and common approach to the preoperative evaluation of patients. The aim is to ensure individualized preparation for the patient prior to surgery and thus to increase patient safety. Taking into account intervention- and patient-specific factors, which are indispensable in the preoperative risk evaluation, the perioperative risk for the patient should be minimized and safety increased. The recommendations for action are summarized under "General Principles (A)," "Advanced Diagnostics (B)," and the "Preoperative Management of Continuous Medication (C)." For the first time, a rating of the individual measures with regard to their clinical relevance has been given in the present recommendation. A joint and transparent agreement is intended to ensure a high level of patient orientation while avoiding unnecessary preliminary examinations, to shorten preoperative examination procedures, and ultimately to save costs. The joint recommendation of DGAI, DGCH and DGIM reflects the current state of knowledge as well as the opinion of experts. The recommendation does not replace the individualized decision between patient and physician about the best preoperative strategy and treatment.

Background: The utilization of AI language models in education and academia is currently a subject of research, and applications in clinical settings are also being tested. Studies conducted by various research groups have demonstrated that language models can answer questions related to medical board examinations, and there are potential applications of these models in medical education as well.

Research question: This study aims to investigate the extent to which current version language models prove effective for addressing medical inquiries, their potential utility in medical education, and the challenges that still exist in the functioning of AI language models.

Method: The program ChatGPT, based on GPT 3.5, had to answer 1025 questions from the second part (M2) of the medical board examination. The study examined whether any errors and what types of errors occurred. Additionally, the language model was asked to generate essays on the learning objectives outlined in the standard curriculum for specialist training in anesthesiology and the supplementary qualification in emergency medicine. These essays were analyzed afterwards and checked for errors and anomalies.

Results: The findings indicated that ChatGPT was able to correctly answer the questions with an accuracy rate exceeding 69%, even when the questions included references to visual aids. This represented an improvement in the accuracy of answering board examination questions compared to a study conducted in March; however, when it came to generating essays a high error rate was observed.

Discussion: Considering the current pace of ongoing improvements in AI language models, widespread clinical implementation, especially in emergency departments as well as emergency and intensive care medicine with the assistance of medical trainees, is a plausible scenario. These models can provide insights to support medical professionals in their work, without relying solely on the language model. Although the use of these models in education holds promise, it currently requires a significant amount of supervision. Due to hallucinations caused by inadequate training environments for the language model, the generated texts might deviate from the current state of scientific knowledge. Direct deployment in patient care settings without permanent physician supervision does not yet appear to be achievable at present.