
sFlt-1:PlGF Ratio in Gestational Diabetes: PREDICTION (PREeclampsia in DIabetiC gestaTION) Study...
Gestational DiabetesGestational Hypertension1 moreThe ratio of soluble fms-like tyrosine kinase 1 (sFlt-1) to placental growth factor (PlGF) is elevated in pregnant women before the clinical onset of preeclampsia and can be used to predict the preeclampsia. However, its predictive value in pregnancy complicated by gestational diabetes is unclear. This study purposes are to validate a ratio of serum sFlt-1 to PlGF that would be predictive of the absence or presence of preeclampsia in the short term in women with singleton pregnancies complicated by diabetes in whom preeclampsia was suspected, and to evaluate the relationship among sFlt-1 to PlGF and placental histopathological alterations.

Cerebral Hemodynamics During Sustained Intra-operative Hypotension
Cerebral AutoregulationObjective: 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.

Prediction of Acute Kidney Injury After Operation of Acute Type A Aortic Dissection Based on Multimodal...
AneurysmDissecting1 moreAcute 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.

Build a Decision Aid Tool to Help Emergency Intensive Care Specialists in the Context of Hypoxic...
EncephalopathyThe 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)

Right Ventricular Function and Pulmonary Hypertension in HFpEF
Heart Failure With Preserved Ejection FractionIn patients with heart failure and preserved ejection fraction (HFpEF) right ventricular (RV) systolic and diastolic dysfunction are prognostically and functionally relevant factors but have mechanistically been neglected so far. In the present study alterations of intrinsic RV (systolic and diastolic) function, as assessed by invasive pressure volume loops, are examined in relation to tissue alterations on myocardial level and to the degree of RV afterload (pulmonary hypertension). Study aim is to gain insights into mechanisms contributing to the development of RV dysfunction and potentially identify new therapeutic targets.

Regulatory Mechanism of Orphanin FQ in Patients With Chronic Ischemic Heart Failure
Heart Failureβ 1 adrenergic autoantibody on cardiomyocytes β 1 adrenergic receptor increased the occurrence of malignant arrhythmia in patients with chronic heart failure, accelerated myocardial cell damage, and participated in sudden cardiac death. Our team found for the first time that endogenous orphanin enkephalin promotes arrhythmia after acute myocardial ischemia in rats, and its mechanism includes PKC pathway, regulation of action potential duration and cell membrane surface β 1 adrenoceptor internalization disorder. At the same time, N / OFQ can regulate the level of immune factors, and immune factors participate in the formation of β1-aa. This study will be verified by clinical observation and animal experiments: first, N / OFQ, IL-6 and chronic ischemic heart failure, and β 1-aa; second, relationship between IL-6 gene 572G / C polymorphism and chronic ischemic heart failure correlation of β 1-aa production; last, objective to verify whether N / OFQ is involved in the regulation of IL-6 on chronic ischemic heart failure by knocking out N/ OFQ gene in the animal model of chronic ischemic heart failure. So as to clarify the mechanism of myocardial cell and extracellular injury, and find a new target for the treatment of chronic heart failure.

Relationship Between Adipose Tissue Distribution and Arterial Stiffness in HFpEF
Heart Failure With Preserved Ejection FractionArterial Stiffness1 moreHeart failure with preserved ejection fraction (HFpEF) was considered as a heterogeneous disease with multi-organ and multi-system design, which is related to various complications, such as hypertension, obesity and arteriosclerosis. Studies have found that hypertension and obesity are respectively associated with increased arterial stiffness. However, there is still no research investigating the the relationship between lipids distribution and arterial stiffness in HFpEF patients.

Thrombin Generation in Liver Transplant Surgery
Liver TransplantationThrombin4 moreThis is a prospective observational study of 100 patients undergoing liver transplantation at a single centre. Thrombin generation and kinetics will be assessed using a novel point-of-care device, and compared to conventional measures of hemostasis as well as viscoelastic tests to pinpoint specific coagulation deficits and identify potential therapeutic targets. The clinical course of patients will be followed for major bleeding and transfusion outcomes.

CTEPH in Patients With Prior Pulmonary Embolism and Risk Score Validation
Chronic Thromboembolic Pulmonary HypertensionPulmonary EmbolismCTEPH-SOLUTION aims to create a risk score for the early detection of Chronic Thrombo-Embolic Pulmonary Hypertension (CTEPH) among patients with previous pulmonary embolism. The risk score, created on retrospective data, will be validated on newly diagnosed pulmonary embolism patients.

A Multicenter Study on Early Diagnosis of NSTE-ACS Patients Based on Machine Learning Model
NSTEMI - Non-ST Segment Elevation MIUnstable AnginaEarly diagnosis of NSTEMI and UA patients is mainly through the construction of machine learning model.