Medizinische Klinik-Intensivmedizin Und Notfallmedizin最新文献

Background: This study evaluates the implementation of postcardiac-arrest-sedation (PCAS) and -care (PRC) by prehospital emergency physicians in Germany.

Materials and methods: Analysis of a web-based survey from October to November 2022. Questions were asked about implementation, medications used, complications, motivation for implementing or not implementing PCAS, and measures and target parameters of PRC.

Results: A total of 500 emergency physicians participated in the survey. In all, 73.4% stated that they regularly performed PCAS (hypnotics: 84.7%; analgesics: 71.1%; relaxants: 29.7%). Indications were pressing against the respirator (88.3%), analgesia (74.1%), synchronization to respirator (59.5%), and change of airway device (52.6%). Reasons for not performing PCAS (26.6%) included unconscious patients (73.7%); concern about hypotension (31.6%), re-arrest (26.3%), and worsening neurological assessment (22.5%). Complications of PCAS were observed by 19.3% of participants (acute hypotension [74.6%]); (re-arrest [32.4%]). In addition to baseline monitoring, PRC included 12-lead-electrocardiogram (96.6%); capnography (91.6%); catecholamine therapy (77.6%); focused echocardiography (20.6%), lung ultrasound (12.0%) and abdominal ultrasound (5.6%); induction of hypothermia (13.6%) and blood gas analysis (7.4%). An etCO₂ of 35-45 mm Hg was targeted by 40.6%, while 9.0% of participants targeted an S_pO₂ of 94-98% and 19.2% of participants targeted a systolic blood pressure of ≥ 100 mm Hg.

Conclusions: Prehospital PRC in Germany is heterogeneous and deviations from its target parameters are frequent. PCAS is frequent and associated with relevant complications. The development of preclinical care algorithms for PCAS and PRC within preclinical care seems urgently needed.

Acute kidney injury (AKI) is a common problem in critically ill patients and is associated with increased morbidity and mortality. Since 2012, AKI has been defined according to the KDIGO (Kidney Disease Improving Global Outcome) guidelines. As some biomarkers are now available that can provide useful clinical information, a new definition including a new stage 1S has been proposed by an expert group of the Acute Disease Quality Initiative (ADQI). At this stage, classic AKI criteria are not yet met, but biomarkers are already positive defining subclinical AKI. This stage 1S is associated with a worse patient outcome, regardless of the biomarker chosen. The PrevAKI and PrevAKI-Multicenter trial also showed that risk stratification with a biomarker and implementation of the KDIGO bundle (in the high-risk group) can reduce the rate of moderate and severe AKI. In the absence of a successful clinical trial, conservative management remains the primary focus of treatment. This mainly involves optimization of hemodynamics and an individualized (restrictive) fluid management. The STARRT-AKI trial has shown that there is no benefit from accelerated initiation of renal replacement therapy. However, delaying too long might be associated with potential harm, as shown in the AKIKI2 study. Prospective studies are needed to determine whether artificial intelligence will play a role in AKI in the future, helping to guide treatment decisions and improve outcomes.

The use of extracorporeal circulatory support, both for cardiogenic shock and during resuscitation, still presents many unanswered questions. The inclusion and exclusion criteria for such a resource-intensive treatment must be clearly defined, considering that these criteria are directly associated with the type and location of treatment. For example, it is worth questioning the viability of an extracorporeal resuscitation program in areas where it is impossible to achieve low-flow times under 60 min due to local limitations. Additionally, the best approach for further treatment, including whether it is necessary to regularly relieve the left ventricle, must be explored. To find answers to some of these questions, large-scale, multicenter, randomized studies and registers must be performed. Until then this treatment must be carefully considered before use.

Intensive care units provide a data-rich environment with the potential to generate datasets in the realm of big data, which could be utilized to train powerful machine learning (ML) models. However, the currently available datasets are too small and exhibit too little diversity due to their limitation to individual hospitals. This lack of extensive and varied datasets is a primary reason for the limited generalizability and resulting low clinical utility of current ML models. Often, these models are based on data from single centers and suffer from poor external validity. There is an urgent need for the development of large-scale, multicentric, and multinational datasets. Ensuring data protection and minimizing re-identification risks pose central challenges in this process. The "Amsterdam University Medical Center database (AmsterdamUMCdb)" and the "Salzburg Intensive Care database (SICdb)" demonstrate that open access datasets are possible in Europe while complying with the data protection regulations of the General Data Protection Regulation (GDPR). Another challenge in building intensive care datasets is the absence of semantic definitions in the source data and the heterogeneity of data formats. Establishing binding industry standards for the semantic definition is crucial to ensure seamless semantic interoperability between datasets.

Background: The frequency and intensity of heat waves are currently increasing due to climate change. Hence more cases of heat illness are being observed, a potentially life-threatening disease, which requires rapid and expert management.

Objectives: An overview of the pathophysiology and acute management of heat illness is presented.

Materials and methods: Analysis and evaluation of important, recently published contributions, studies, and reviews regarding heat illness without claim for completeness or fulfilling the criteria for a 'systematic meta-analysis'. Presentation of a recommended clinical-practical classification and management of heat illness in emergency departments or intensive care units.

Results: The manifestation of heat illness arising from prolonged exposure to heat prevaries (heat cramps, heat edema, heat exhaustion, heat stroke). The main pathophysiologic mechanisms are disruption of thermoregulation, peripheral vasodilation of the skin surface, hypoperfusion of visceral organs, and brain, and cardiac stress. Uncompensated heat stress can result in multiorgan dysfunction/failure syndrome due to the initiation of cytokine pathways, specifically in at-risk and/or chronically ill patients. The manifestation of uncompensated heat stroke is associated with a hospital mortality > 50%. Rapid identification, classification and targeted management are crucial for the outcome, in particular the initiation of adequate cooling measures.

Conclusion: In the future, increasing numbers of patients suffering from prolonged heat exposure will require treatment in emergency departments and intensive care units. Sufficient professional knowledge regarding pathophysiology and management are decisive for successful therapy. Hence, the topic heat illness should be implemented in training and education.

This article aims to provide an overview of common and high-impact medical emergencies that require prompt and effective infectious diseases management. In the described clinical scenarios of malaria, sepsis, necrotizing fasciitis, and meningitis the authors have emphasized the crucial importance of rapid and accurate diagnosis, as well as appropriate treatment from the perspective of infectious diseases. All of these emergencies demand a high degree of clinical suspicion for accurate diagnosis. Some of them also necessitate the involvement of other medical disciplines, such as neurology in the case of meningitis or surgery for necrotizing fasciitis. Additionally, implementing the right empiric antibiotic regimen or, in the case of malaria, antiparasitic treatment is crucial for improving patient outcomes. As patients with these diagnoses may present at any outpatient department, and efficient and quick management is essential, a deep understanding of diagnostic algorithms and potential pitfalls is of the utmost importance.

Background and objectives: Pulmonary manifestation of coronavirus disease 2019 (COVID-19) is described using standardized computed tomography (CT) morphologic criteria. In this study, we investigated possible associations between thoracic CT manifestations in COVID-19 pneumonia and typical comorbidities, as well as clinical course.

Methods: We analyzed clinical data and pulmonary imaging of 61 patients with positive PCR test. Pulmonary changes were categorized and reviewed for associations with pre-existing comorbidities and clinical course.

Results: Compared to patients with atypical infiltrate patterns (2/19, 10.5%), 25 patients with typical infiltrate patterns (25/42, 59.5%) were significantly more likely to receive intensive care (p<0.001). In addition, patients with typical infiltrate patterns were more likely to receive non-invasive ventilation (12/42, 28.6%, p=0.040) and high-flow therapy (8/42, 19%, p=0.041) compared to patients with atypical infiltrate patterns. Mortality was also higher in patients with typical infiltrate patterns, with 15 patients (15/42, 35.7%) dying during follow-up compared to only 1 patient with atypical infiltrate pattern (1/19, 10.5%, p=0.012). No significant association between specific comorbidities and the resulting infiltrate pattern could be demonstrated.

Conclusions: Patients with a typical COVID-19 infiltrate pattern are more likely to receive intensive care and show higher mortality rates. Further analysis with larger patient collectives is needed to identify specific risk factors for typical COVID-19 pneumonia.

When conducting clinical trials in intensive care and emergency medicine, physicians, ethics committees, and legal experts have differing views regarding the inclusion of patients who are incapable of giving consent. These different views on the participation of patients who are not capable of giving consent also complicate how clinical trials are prepared and conducted. Based on the results of a literature search, a consensus model (Cologne Model) was developed by physicians performing clinical research, ethics committees, and lawyers in order to provide patients, those scientifically responsible for the study, ethics committees, and probate (guardianship) judges with a maximum of patient safety and legal certainty, while simultaneously enabling scientific research.

Intensive care units are highly complex environments where critically ill patients are treated. Therefore, it is mandatory for various professional groups to work closely together. In the past, mainly nursing and medical teams were involved, but today team structures are changing, and more professional groups are entering the environment. Demographic change with increasing comorbidities as well as increasingly complex treatments and technologies are challenges for the intensive care teams. Another enormous challenge is the increasing shortage of nursing staff, which affects the entire healthcare system. To meet these challenges, new concepts are necessary. In accordance with long-standing international standards, an academization of the nursing profession is proposed. The aim is to integrate academically educated nurses and to introduce new nursing roles. Concepts integrating nursing sciences should also be considered.