View clinical trials related to Hypotension.
Filter by:The goal of this clinical trial is to explore raise-bed training Orthostatic Hypotension in Parkinson's Patients. The main question it aims to answer is: Can raise-bed training improve Orthostatic Hypotension in Parkinson's Patients. Patients will be randomly allocated into the control group or the experimental group, all under rehabilitation treatment, the experimental group will be given raise-bed training. The study lasts 21 days for each patient. Researchers will compare Orthostatic Hypotension Questionnaire, Orthostatic Grading Scale, Composite Autonomic Symptom Scale 31 to see if raise-bed training can help improve the symptom.
Controlled hypotension application is a commonly preferred anesthesia practice during surgical procedures, particularly in regions with rich tissue perfusion, aiming to reduce bleeding, enhance surgical field visibility, and mitigate potential complications. Preserving blood flow, especially to the brain, heart, and kidneys, is vital during this method. Previous studies on the subject have primarily focused on short-term effects regarding cognitive impairments, with limited research on the long-term impacts. In our study, we aim to investigate how controlled hypotension application, administered to patients undergoing rhinoplasty or septoplasty surgery, specifically affects cerebral blood flow and its potential consequences on the development of short-term/medium-term/long-term cognitive impairments or delirium in the postoperative period.
The main objective of this clinical study is to determine the effectiveness of BIS-guided propofol administration in avoiding hypotension during propofol induction in geriatric patients. The primary question it aims to answer is whether the mean arterial pressure can be maintained above 60mmHg with BIS-guided propofol induction. For this purpose, the observer's alertness sedation score will be compared with bispectral index-guided inductions.
The present study investigates the involvement of the gut hormone glucose-dependent insulinotropic polypeptide (GIP) in the pathophysiology of postprandial hypotension (PPH)
In elderly patients with cardiac diseases, changes in cardiovascular physiology diminish cardiovascular reserve and predispose to significant hemodynamic instability after spinal anesthesia; hence, such patients could be at risk of postoperative complications. Additionally, point of care ultrasound (POCUS) and transthoracic echocardiography (TTE) are used in clinical practice to evaluate cardiovascular hemodynamics. Inferior vena cava (IVC) and its collapsibility index (CI) have been used in clinical practice for the prediction of post-spinal hypotension. Specifically, the dIVCmax-to-IVCCI ratio < 48 showed high diagnostic performance among other indices in the prediction of post spinal hypotension in elderly patients with cardiac diseases undergoing proximal fracture repair. According to the above findings, the investigators hypothesized that fluid co-loading immediately after spinal anesthesia can lower the incidence of spinal-induced hypotension in patients with dIVCmax-to-IVCCI ratio < 48. For this reason, it is prospectively evaluated echocardiographic indices of the LV and the right ventricle (RV), as well as of the IVC prior to spinal anesthesia in elderly patients with proximal femur fractures who had low LV-EF.
Perioperative hypotension is a risk factor for perioperative complications. Advances in machine learning and artificial intelligence have produced an algorithm that predicts the occurrence of hypotension episodes by analyzing an arterial pressure waveform. This technology has not been validated in thoracic surgical patients undergoing lung resections with the use of one-lung ventilation (OLV). We planned an observational, prospective multi-centre cohort validation study of the Hypotension Prediction Index (HPI) in patients undergoing lung resection procedures with the use of one-lung ventilation and a lung-protective strategy.
The main aim of this investigation is to evaluate the effect of the preservative-free ophthalmic solution IRIDIUM® A gel on the ocular surface of patients with glaucoma or OHT and concomitant DES under multiple long-term topical hypotensive therapy for at least 6 months. The underlying assumption is that ophthalmic solutions as adjuvants for the management of IOP- or glaucoma-associated dry eye may induce a protection of the eye surface with consequent improvement of the symptoms and of the overall quality of life.
For the treatment of numerous biliary and pancreatic problems, the procedure known as endoscopic retrograde cholangiopancreatography (ERCP) is regarded as a crucial therapeutic intervention. However, ERCP is known to be connected to a variety of issues, including post-ERCP sepsis. This study's goal is to investigate the relationship between unexplained hypotension during or just after surgery and the emergence of sepsis after ERCP.
Hypotension is a significant precursor to unfavorable clinical outcomes. To determine whether infusion therapy can positively impact the management of hypotension, several evaluative tests can be utilized. These include assessing the collapsibility and distensibility indices of the inferior vena cava, conducting a passive leg raising (PLR) test, and performing a fluid challenge (FC). Technologically advanced methods leveraging dynamic testing are capable of real-time prediction of a patient's response to infusion therapy. Nonetheless, the use of systolic pressure variability (SPV), pulse pressure variability (PPV), and stroke volume variability (SVV) is often limited by the prohibitive costs of the necessary equipment. In contrast, the PLR test and FC are not subject to this limitation. Despite being deemed unreliable by numerous clinical protocols, static measurements of central venous pressure (CVP) or pulmonary capillary wedge pressure (PCWP) persist in usage among certain traditionalists within the medical community. It must be noted that the patient's baseline state and the unique clinical context are pivotal in determining the precision of these methodologies. For example, the PLR test may yield limited information in fully conscious patients, and the prognostic value of CVP measurements is significantly diminished in cases of pneumothorax and hydrothorax. Regrettably, there is a paucity of data on the prognostic utility of these tests in patients with altered levels of consciousness, despite their growing presence in intensive care units. This gap underscores the necessity for comprehensive studies that evaluate the predictive efficacy of infusion therapy responsiveness in patients with concurrent hypotension and impaired consciousness. Purpose of the study: to investigate the sensitivity and specificity of methods for assessing fluid responsiveness in patients with hypotension and decreased level of consciousness.
The cesarean section, medically necessary for both the mother and the baby in certain cases, is a life-saving operation.The most commonly used anesthesia method worldwide is spinal anesthesia. While spinal anesthesia has many advantages, it also has disadvantages. One of the most commonly encountered disadvantages is the development of hypotension due to the unopposed parasympathetic response after induction. Determining which patient will develop hypotension and which patient will not remains an important question for anesthesiologists before surgery. Identifying high-risk patients for hypotension before starting spinal anesthesia and even knowing the percentage of patients who will develop hypotension undoubtedly saves time in problem-solving. From this perspective, the idea for this study emerged: identifying parameters with the potential for use in prediction based on the literature, collecting data, then testing the relationship between them using machine learning methods, and developing an algorithm capable of predictive analysis. At the end of the study, an artificial intelligence algorithm for predicting hypotension after induction will be developed, and its performance will be tested. The main goals of the study: i)Create a dataset including the clinical characteristics, demographic data, and blood test results of patients who develop and do not develop hypotension after spinal anesthesia. ii) Develop an artificial intelligence algorithm using the dataset and determine the most accurate algorithm for predicting hypotension. iii) To test the accuracy of the developed algorithm, create a test dataset, measure and optimize the algorithm's performance. Accuracy, sensitivity, specificity, and Receiver Operating Characteristic (ROC) curves will be used for performance measurement. iv) Create a suitable interface (a surface for interaction with the software) to make the developed algorithm usable in clinical practice.