Active clinical trials for "Hypotension"

The purpose of this study is to estimate effects of different kinds, different dose of 5-HT3 receptor antagonists on prevention of hypotension after spinal anesthesia

The perioperative hemodynamic management aims to ensure organ perfusion pressure and an oxygen arterial transport adapted to oxygen consumption. Phenylephrine is the α-adrenergic agonist widely used during anesthesia for arterial pressure control. Several questions on phenylephrine global and regional hemodynamics effects remain unresolved. The investigators assume that Phenylephrine may decrease cardiac output by increasing the afterload, while most likely could also make an increase or a stability of cardiac output by action on the venous return. The investigators propose an observational study assessing the influence of preload dependence, defined by the values of pulse pressure variation, on the effect of phenylephrine on cardiac output, measured beat by beat by esophageal Doppler. The aim of the investigators work is to improve the understanding of phenylephrine action, a daily use therapeutic action, to improve the patients care.

The investigators aimed to compare the methods colloid preloading and colloid coloading in terms of the incidence of maternal hypotension and impacts on neonatal outcomes. The second aim while planning the present study is to identify the method of the lowest adverse event for mother and infant and the simplest approach for the clinician.

Continuous cardiovascular monitoring as part of management of high-risk surgical patients is widely practiced, however its role in low-risk surgical patients is unclear. Detailed monitoring of cardiovascular parameters from pre-induction stage allows clinicians to individualise anaesthetic management in the perioperative period. The investigators' aim was to investigate haemodynamic and Bispectral Index (BIS) changes in healthy patients undergoing surgery following induction of anaesthesia with propofol using a continuous non-invasive blood pressure device (LiDCOrapid™).

Although propofol is widely used as an induction agent for a general anesthesia, it can induce a profound hypotension, which leads to the hypo-perfusion of end organs and eventually increases morbidities. Theoretically, applying Trendelenburg position (head down and leg up position) increases cardiac preloads and cardiac outputs. However, in past researches, changing to Trendelenburg position alone is not enough and does not prevent propofol induced hypotension. Previous studies proved that leg wrapping effectively prevent hypotension after neuraxial anesthesia during Cesarean section. The leg wrapping prevents hypotension by increasing vascular resistance of lower extremities. The investigators made a hypothesis that applying both Trendelenburg position and leg wrapping prevent propofol induced hypotension more effectively than either applying Trendelenburg position only or taking no preventive measures.

The purpose of this study is to find out which of the variables related to fluid responsiveness (e. g., perfusion index [PI], pleth variability index [PVI], pulse oximetry plethysmographic variance [ΔPOP]) can best predict hypotension during induction of anesthesia.

The purpose of this study is to verify the accuracy and applicability of predictors of fluid administration efficacy in hypotensive critically ill patients.

The purpose of this study is to determine how blood pressure and blood flow are controlled during head-up tilt in a semi-upright position. In this investigation we are studying blood pressure and blood flow to the brain, with and without a medication which lowers blood pressure (Vasotec). We will determine how persons with a spinal cord injury are able to maintain blood flow to the brain (not get dizzy) as they assume a more upright position and their blood pressure decreases.

Collect hemodynamic data, such as heart rate, blood pressure, and cardiac output to help understand the effect of pre and post intubation.

This study will be collecting data on participants undergoing lower body negative pressure (LBNP) to simulate progressive blood loss. The goal of the study is to collect data to allow for development of an algorithm with machine learning to predict blood pressure responses to hypovolemia by analyzing the arterial waveforms collected during LBNP.