All clinical trials

To gain healthcare workers' perception of the current observations practices used in patient care and explore the benefits of using technology to enhance observations in inpatient mental health setting in the United Kingdom.

The aim of thie study to assess tear film parameters such as tear meniscus height (TMH), tear meniscus area (TMA), and tear meniscus depth (TMD). In addition, corneal pachymetry and epithelial thickness maps in juvenile SLE patients and compared to healthy subjects of similar age and gender.

The correct categorization of breast density is essential to adapt the diagnostic examination to the needs of each patient. Assessment of breast density is performed visually by radiologists. Some authors have detected that this method involves considerable intra and interobserver variability. On the other hand, automated systems for measuring breast density are becoming more and more frequent. Machine learning is a domain of Artificial Intelligence, which comprises the process of developing systems with the ability to learn and make predictions using data. These systems are designed to aid healthcare professional decision making. In the present work, the multicenter study of external validation of a tool based on deep learning for the categorization of mammographic breast density is proposed.

Objective: The objective of this study is to describe the physiology of the cerebral autoregulation over time during extreme low blood pressures (BP). Study design: This is a retrospective data collection study. During the Personalized External Aortic Root Support (PEARS) procedure extreme low blood pressures < 65 mmHg are medically induced. Hemodynamic and neurophysiologic data is for clinic purposes stored. Study population: All patients requiring a PEARS study at the Amsterdam University Medical Centers, location Amsterdam Medical Center (AMC). Investigation: Cerebral parameters during sustained low blood pressures are monitored with the transcranial doppler (TCD) for cerebral blood flow velocity (CBFV), near infrared spectroscopy (NIRS) for cerebral tissue oxygenation (rS02) and the electroencephalography (EEG) for the cerebral activity. Blood pressure waveforms are retrieved from an invasive arterial catheter. Besides, blood gasses during the low blood pressures and cardiac output, measured with a Schwan Ganz catheter are collected as well as electronic health records (EHR) (like age, gender and weight). All these devices are implemented as stated in the clinic protocol. Main study parameters/endpoints: The investigators will describe the cerebral autoregulation (CA) in several ways to retrieve a cut-off or lower limit of the CA where the regulation is either intact or impaired. First the static CA will be created with the mean arterial pressure (MAP) and mean cerebral blood flow (CBFm), second, the CA will be described with the mean flow velocity index (Mx, a method which calculates the correlation between the MAP and CBFm), COX (correlation between MAP and rS02) and with data of the EEG. After retrieval of the cut off or lower limit, the CA below this point will be described over time to check for differences.

Acute myeloid leukemia (AML) patients are prone to blood stream infection (BSI) due to bone marrow suppression, oral and gastrointestinal mucositis, endovascular tubes, and the application of a large number of broad-spectrum antibiotics. The associated mortality rate is as high as 7.1 %-42%. The use of antibiotics within one hour after the first observation of hypotensive symptoms can guarantee a 79.9% survival rate. For every hour of delay, the patient's survival rate will drop by 7.6%. At present, the blood culture test cycle is long and the positive rate is low. Other infection-related indicators (PCT, CRP) or next-generation sequencing are not highly specific and easy to be misdiagnosed. X-ray, CT and other examinations only have a certain auxiliary value for the infected site. We need new diagnostic tools to accurately identify pathogens. Nano-seq is a next-generation sequencing technology for single-molecule, real-time sequencing and analysis. With ultra-long sequencing read length, it can quickly and accurately identify BSI pathogens types, and give appropriate drug sensitivity results based on drug resistance genes to meet the needs of 99.9% pathogen screening. At the same time, we hope to conduct a prospective evaluation to target high-risk groups of AML prone to BSI in the early stage. The intestine is the body's largest immune organ and the largest reservoir of microbial pathogens. The expansion of certain gut microbiota usually precedes BSI. If there is a correlation between the gut microbiota and MDR-BSI, the colonization and changes of the intestinal flora can be used to predict the risk of BSI in patients during treatment, and preventive measures such as early decolonization or biological intervention will reduce the risk of infection in the future. Combined with Nano-seq and various existing clinical pathogen detection technologies to reduce the occurrence and progress of clinical BSI.

Achalasia is an esophageal motility disorder, characterized by insufficient lower esophageal sphincter relaxation and loss of esophageal peristalsis. Patients with achalasia experience distressing gastrointestinal symptoms, including dysphagia, reflux and chest pain, which lead to weight loss and malnutrition. Undoubtedly, health-related quality of life can be significantly diminished in patients with achalasia. At present, POEM has become one of the standard therapies for achalasia. Limited studies have focused on the patient's quality of life before and after POEM. The present study aimed to assess the changes in quality of life of patients with achalasia using the validated achalasia severity questionnaire (ASQ) and the short form (SF)-36 scale.

Acute kidney injury is one of the most common postoperative complications of acute type A aortic dissection, which is closely related to early postoperative death. Early prevention, early diagnosis and early treatment are the key to improve the prognosis of such patients. It has been a hot topic in clinical research for a long time. Previous reports revealed a series of risk factors for acute kidney injury after aortic dissection, but limited by research design and single modal data, high quality studies were rare. The purpose of this study is to further clarify the risk factors by studying the relationship between preoperative CT renal perfusion imaging indexes and postoperative acute kidney injury; establish and externally verify the multimodal radiomics prediction model for acute kidney injury after operation of aortic dissection combining with preoperative CT renal perfusion imaging and CT angiography information by analysis methods of information fusion, feature engineering and radiomics, so as to guide the follow-up clinical practice, improve the prognosis of such patients and save medical resources.

The project aims at designing a machine learning solution able to recognize characteristics signals patterns of brain damages in full term babies born within a context of Hypoxic Ischemic Encephalopathy (HIE)

This is a descriptive cross-sectional study 300 patients coming for antenatal care at sohag governorate undergo mid anatomical scan. Samples 300 pregnant women have mid anatomical scan at 20-22 weeks as routine antenatal care and Examination of the fetal CNS will be performed with a high resolution two dimensional ultrasound machine (Voluson E8) equipped with a RAB 4 to 8MHz multifrequency transabdominal Probe. Four standard recommended views-transventricular, falx, cavum, and posterior fossa or transcerebellar views-provide an overview of fetal intracranial anatomy during the second trimester anatomy scan. Follow-up information will be obtained in all cases, and all infants will be considered healthy by pediatric examination. In selected cases, postnatal single-shot fast spin-echo magnetic resonance (MR) imaging will be performed as integrated, complementary investigation.to confirm diagnosis.

Meningitis is the development of an inflammatory reaction in the meningeal space, most often of infectious origin. Many pathogens can cause meningitis, the severity of which varies greatly. Patients presenting with a febrile meningeal syndrome are most often managed in the emergency room, where the challenge for physicians is to quickly differentiate bacterial and viral meningitis. Viral meningitis is the most common, with enterovirus meningitis having a classically excellent prognosis. Bacterial meningitis is less frequent but more serious.The current public health objective is to save antibiotics. Investigator hypothesizes that the BMS score can be used to exclude bacterial meningitis in the emergency department in an adult European population of patients with suspected bacterial meningitis.