Background Pre-clinical psychiatric emergencies are generally treated by emergency medical staff. The subsequent clinical treatment is often conditioned by interaction problems between emergency medical staff and psychiatric clinical staff. Objectives To identify problems affecting interaction between emergency medical and psychiatric care of mentally ill patients and pinpoint aspects of optimized emergency care. Methods To shed light on the interaction problems an anonymous, questionnaire-based, nonrepresentative survey of 98 emergency physicians (EM) and 104 psychiatrists (PS) practicing in acute psychiatry was conducted between March 1, 2021 and October 1, 2021. Results The chi-square test for multiple response sets revealed consistently significant differences (p < 0.001) between EM and PS with respect to the questions analyzed. Approximately 36% of EM reported not to be adequately qualified to handle psychiatric emergencies (p = 0.0001), while around 50% of respondents were neutral in their assessment in how to deal with psychiatric emergencies. 80% of EM reported a negative interaction (rejection of patients) with PS when referring a psychiatric emergency patient to the acute psychiatric unit. The most common reasons for refusal were intoxication (EM: 78.8%, PS: 88.2%), emergency physician therapy (EM: 53.8%, PS: 63.5%), and not resident in the catchment area of the hospital (EM 68.8%, PS: 48.2%). In the casuistry presented, most respondents would choose “talk down” for de-escalation (EM: 92.1%, PS: 91.3%). With respect to drug therapy, benzodiazepine is the drug of choice (EM: 70.4%, PS: 78.8%). More EM would choose an intravenously (i.v.) or a Mucosal Atomization Device (MAD) administration as an alternative to oral medication (i.v.: EM: 38.8%, PS: 3.8%, p = 0.001, MAD: EM: 36.7%, PS: 10.6%, p = 0.006). Significantly more EM would seek phone contact with the acute psychiatric hospital (EM: 84.7%, PS: 52.9%, p = 0.0107). A psychiatric emergency plan was considered useful in this context by more than 90% of respondents. The need for further training for EM with regard to treating psychiatric clinical syndromes was considered important by all respondents. In particular, the topics of “psychogenic seizure,“ “intoxication,“ and “legal aspects of psychiatric emergencies” were considered important (Mann-Whitney U test, p < 0.001). Conclusion The interaction-related problems identified in the emergency medical care of pre-clinical psychiatric patients relate to non-modifiable, structural problems, such as insufficient admission capacity and non-existent or inadequate monitoring capabilities in acute psychiatric hospitals. However, factors such as the education and training of EM and communication between EM and PS can be improved. Developing personalized emergency care plans for psychiatric patients could help to optimize their care.

Background Up to 70% of septic patients develop a diffuse brain dysfunction named “septic associated encephalopathy” which is often solely based on clinical impressions. However, the diagnosis of septic associated encephalopathy is outcome-relevant due to an increase in mortality in these patients. Neuroinflammation as well as a disturbance of cholinergic transmission are assumed to be the causes of both delirium and septic associated encephalopathy. An alteration in cholinergic activity can be objectified by measuring the erythrocytic acetylcholinesterase-activity. Single-point measurements of acetylcholinesterase-activity are of limited value because individual and dynamic changes over time have to be anticipated. Therefore, the hypothesis should be tested whether a longitudinal analysis of acetylcholinesterase-activity in critically ill patients can help to diagnose a suspected septic-associated encephalopathy and whether acetylcholinesterase-activity differs in comparison to non-septic patients. Methods In this prospective, observational, single-center study, 175 patients (45 with sepsis, 130 without sepsis) were included. All patients were admitted to the surgical Intensive Care Unit of the University hospital Ulm, Germany. Patients were examined daily for the presence of delirium using the CAM-ICU. Daily measurement of the acetylcholinesterase-activity was performed in all patients. The possible time-dependent change in acetylcholinesterase-activity was analyzed with a linear regression model considering repeated measurements. Using a time-adjusted model further factors able to affect AChE-activity were investigated. For nonparametric distributions quantitative data were compared using Wilcoxon matched-pairs test. For analysis of independent samples the Mann-Whitney test was performed. Results About 90% of septic patients with suspected septic associated encephalopathy exhibited a statistically significant time-dependent in- or decrease in acetylcholinesterase-activity over a period of at least 5 consecutive days. Conclusion Longitudinal measurement of acetylcholinesterase-activity over several consecutive days revealed a change from baseline only in septic patients with suspected septic-associated encephalopathy. Therefore, longitudinal measurement of acetylcholinesterase-activity is able to diagnose septic associated encephalopathy in septic patients with delirious symptoms. Trial registration Retrospectively registered at German Clinical Trials Register, registration number DRKS00020542, date of registration: January 27, 2020.

Background: Over the last 12 years, the fundamentals of automated pain recognition using artificial intelligence (AI) algorithms have been investigated and optimized. The main target groups are patients with limited communicative abilities. To date, the extent to which anesthetists and nurses in intensive care units would benefit from an automated pain recognition system has not been investigated.Methods:N = 102 clinical employees were interviewed. To this end, they were shown a video in which the visionary technology of automated pain recognition, its basis and goals are outlined. Subsequently, questions were asked about: (1) the potential benefit of an automated pain recognition in clinical context, (2) preferences with regard to the modality used (physiological, paralinguistic, video-based, multimodal), (3) the maximum willingness to invest, (4) preferences concerning the required pain recognition rate and finally (5) willingness to use automated pain recognition.Results: The respondents expect the greatest benefit from an automated pain recognition system to be “to avoid over- or undersupply of analgesics in patients with limited communicative abilities,” a total of 50% of respondents indicated that they would use automated pain recognition technology, 32.4% replied with “perhaps” and 17.4% would not use it.Conclusion: Automated pain recognition is, in principle, accepted by anesthetists and nursing staff as a possible new method, with expected benefits for patients with limited communicative skills. However, studies on automated pain recognition in a clinical environment and proof of its acceptance and practicability are absolutely necessary before such systems can be implemented.

Delirium is a common problem in ICU patients, resulting in prolonged ICU stay and increased mortality. A cholinergic deficiency in the central nervous system is supposed to be a relevant pathophysiologic process in delirium. Acetylcholine is a major transmitter of the parasympathetic nervous system influencing several organs (e.g., heart and kidneys) and the inflammatory response too. This perception might explain that delirium is not an individual symptom, but rather a part of a symptom complex with various disorders of the whole organism. The cholinergic deficiency could not be quantified up to now. Using the possibility of bedside determination of the acetylcholinesterase activity (AChE activity), we assumed to objectify the cholinergic homeostasis within minutes. As reported here, the postoperative delirium was accompanied by a massive hemodynamic and renal deterioration of unclear genesis. We identified the altered AChE activity as a plausible pathophysiological mechanism. The pharmacological intervention with the indirect parasympathomimetic physostigmine led to a quick and lasting improvement of the patient's cognitive, hemodynamic, and renal status. In summary, severe delirium is not always an attendant phenomenon of critical illness. It might be causal for multiple organ deterioration if it is based on cholinergic deficiency and has to be treated at his pathophysiological roots whenever possible.

Background Pain detection and treatment is a major challenge in the care of critically ill patients, rendered more complex by the need to take into consideration the risk of insufficient or excessive analgesia. The nociceptive flexion reflex threshold (NFRT) has become the established basis for measuring the level of analgesia in the perioperative context. However, it remains unclear whether NFRT measurement can be usefully applied to mechanically ventilated, analgosedated critically ill patients who are unable to communicate. Therefore, the aim of the present study was to investigate whether there is an association between the NFRT measurement and the Behavioral Pain Scale (BPS) in critically ill, analgosedated, and mechanically ventilated patients and whether the NFRT measurement can also detect potential excessive analgesia. Methods This prospective, observational, randomized single-center pilot study included patients admitted to the surgical Intensive Care Unit of University Hospital Ulm, Germany, all of whom were analgosedated and intubated. Major exclusion criteria were defined as the need for the administration of neuromuscular blocking agents or neurological diseases associated with peripheral nerve conduction restriction. Initial NFRT and BPS measurements were conducted within 12 h after admission. A structured pain assessment was performed at least twice daily until extubation throughout the observation period thereafter (Group A: BPS + NFRT, Group B: BPS). Results 114 patients were included in the study. NFRT is associated negatively with BPS. NFRT was almost twice as high in patients with a Richmond Agitation Sedation Scale (RASS) score of -5 than in patients with a RASS score ≥ -4 (RASS -5 – NFRT: 59.40 vs. RASS -4 – NFRT: 29.00, p < 0.001). Conclusions NFRT measurement is associated negatively with the BPS in critically ill patients. NFRT measurement provides guidance for the evaluation of nociceptive processes in patients with RASS scores ≤ −4, in whom analgesia level is often difficult to assess. However, in order to identify excessive analgesia and derive therapeutic consequences, it is necessary to gradually decrease analgesics and sedatives until a stimulus threshold is reached at which the patient does not feel pain. Trial Registration Retrospectively registered in the German Clinical Trials Register, registration number DRKS00021149, date of registration: March 26, 2020. https://www.drks.de/drks_web/navigate.do?navigationId=trial.HTML&TRIAL_ID=DRKS00021149.