Hannover study on long-stay hospitalization – part I: prediction of long-stay hospitalisation in cases of chronic mental illness

BACKGROUND: The problem of long-stay hospitalization is still a pressing issue. In this study we examined the possibility of detecting and characterising the group at risk of long-stay hospitalization in advance. METHODS: This study examines the data of patients in the urban catchment area of the Medical University of Hannover, capital of Lower Saxony, Germany, during a period of 10 years. RESULTS AND CONCLUSION: The introduced "psychosocial risk-score", calculated at the first institutional contact, was able to predict the risk of long-term hospitalization. Characteristics of social disintegration, especially with regard to employment status, are of particular importance

Psychiatric patients turnaround times in the emergency department

BACKGROUND: To analyze the turnaround times of psychiatric patients within the Emergency Department (ED) from registration to discharge or hospitalization in a University Hospital in 2002. METHODS: Data from a one-year period of psychiatric admissions to the emergency service at a University Hospital were monitored and analyzed focused on turnaround times within the ED. Information on patients variables such as age, sex, diagnosis, consultations and diagnostic procedures were extracted from the patients' charts. RESULTS: From 34.058 patients seen in the ED in 2002, 2632 patients were examined by psychiatrists on duty. Mean turnaround time in the ED was 123 (SD 97) minutes (median 95). Patients to be hospitalized on a psychiatric ward stayed shorter within the ED, patients who later were admitted to another faculty, were treated longer in the ED. Patients with cognitive or substance related disorders stayed longer in the ED than patients with other psychiatric diagnoses. The number of diagnostic procedures and consultations increased the treatment time significantly. CONCLUSION: As the number of patients within the examined ED increases every year, the relevant variables responsible for longer or complicated treatments were assessed in order to appropriately change routine procedures without loss of medical standards. Using this basic data, comparisons with the following years and other hospitals will help to define where the benchmark of turnaround times for psychiatric emergency services might be

Possible criteria for inpatient psychiatric admissions: which patients are transferred from emergency services to inpatient psychiatric treatment?

BACKGROUND: Patients with psychiatric problems often seek help and assistance in hospital emergency departments. An important task of emergency room staff is to decide whether such patients need to be admitted or whether they can be treated on an outpatient basis. METHODS: Psychiatric treatments given in the Central Interdisciplinary Emergency Department (CED) at the Medical University of Hannover (MHH) in 2002 were analysed. RESULTS: Of a total of 2632 patients seeking psychiatric help, 51.4% were admitted for inpatient treatment. Patients with dementia syndromes were admitted more frequently than patients with other psychiatric diseases. Suicidality was often the reason for admission. Accompanied patients were less likely to be hospitalised, unless a care-order was in force. Restraining measures and acute medication also had an impact on the rate of admissions. CONCLUSION: The results may help psychiatrists in the emergency department to make a more effective decision regarding inpatient admission in the interest of the individual patient

The Renin-Angiotensin-Aldosterone system in patients with depression compared to controls – a sleep endocrine study

BACKGROUND: Hypercortisolism as a sign of hypothamamus-pituitary-adrenocortical (HPA) axis overactivity and sleep EEG changes are frequently observed in depression. Closely related to the HPA axis is the renin-angiotensin-aldosterone system (RAAS) as 1. adrenocorticotropic hormone (ACTH) is a common stimulus for cortisol and aldosterone, 2. cortisol release is suppressed by mineralocorticoid receptor (MR) agonists 3. angiotensin II (ATII) releases CRH and vasopressin from the hypothalamus. Furthermore renin and aldosterone secretion are synchronized to the rapid eyed movement (REM)-nonREM cycle. METHODS: Here we focus on the difference of sleep related activity of the RAAS between depressed patients and healthy controls. We studied the nocturnal plasma concentration of ACTH, cortisol, renin and aldosterone, and sleep EEG in 7 medication free patients with depression (1 male, 6 females, age: (mean +/-SD) 53.3 ± 14.4 yr.) and 7 age matched controls (2 males, 5 females, age: 54.7 ± 19.5 yr.). After one night of accommodation a polysomnography was performed between 23.00 h and 7.00 h. During examination nights blood samples were taken every 20 min between 23.00 h and 7.00 h. Area under the curve (AUC) for the hormones separated for the halves of the night (23.00 h to 3.00 h and 3.00 h to 7.00 h) were used for statistical analysis, with analysis of co variance being performed with age as a covariate. RESULTS: No differences in ACTH and renin concentrations were found. For cortisol, a trend to an increase was found in the first half of the night in patients compared to controls (p < 0.06). Aldosterone was largely increased in the first (p < 0.05) and second (p < 0.01) half of the night. Cross correlations between hormone concentrations revealed that in contrast to earlier findings, which included only male subjects, in our primarily female sample, renin and aldosterone secretion were not coupled and no difference between patients and controls could be found, suggesting a gender difference in RAAS regulation. No difference in conventional sleep EEG parameters were found in our sample. CONCLUSION: Hyperaldosteronism could be a sensitive marker for depression. Further our findings point to an altered renal mineralocorticoid sensitivity in patients with depression

Bildanalyse zur Handhabung von Kleinladungsträgern mithilfe künstlicher neuronaler Netzwerke

KI-basierte, bildgesteuerte Roboter können für das Handling von Kleinladungsträgern (KLT) in der Automobillogistik zurzeit noch nicht im Serienbetrieb eingesetzt werden, da die KLT-Erkennungsrate (Recall) moderner neuronaler Netzwerke bislang zu niedrig ist. Im Rahmen dieser Veröffentlichung wird daher untersucht, ob der Recall des neuronalen Netzwerks RetinaNet durch die Integration von Tiefenbildern verbessert werden kann. Im ersten Teil der empirischen Untersuchung wird aufgezeigt, dass der Recall durch eine Blending-Tiefenbildintegration signifikant verbessert werden kann. Durch weitere, von der Tiefenbildintegration unabhängige Optimierungsstrategien kann der Recall auf über 99,9 Prozent gesteigert werden.*