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Pediatrics clinical trials

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NCT ID: NCT05815563 Not yet recruiting - Anesthesia, Local Clinical Trials

Validation of Peripheral Perfusion Index in Predicting Successful Supraclavicular Brachial Plexus Block in Pediatrics

Start date: September 2023
Phase:
Study type: Observational

Few data are available for the PI as a tool for evaluation of peripheral block success in pediatric patients. Furthermore, there is currently no cut-off value defined for the accuracy of the PI in the detection of successful block.

NCT ID: NCT05771935 Completed - Anesthesia Clinical Trials

Ultrasound Guided Ulnar Versus Radial Artery in Pediatrics Undergoing Major Non Cardiac Surgery

Start date: March 5, 2023
Phase: N/A
Study type: Interventional

This study aims to assess the safety and efficacy of ulnar artery cannulation compared to radial artery cannulation in pediatrics undergoing major non cardiac procedures.

NCT ID: NCT05537168 Completed - Clinical trials for Cardiopulmonary Bypass

Bayesian Networks in Pediatric Cardiac Surgery

Start date: September 17, 2022
Phase:
Study type: Observational

Pediatric cardiac surgery with cardiopulmonary bypass is associated with significant morbidity and mortality. Also score systems for risk factors, such as Risk Adjustment for Congenital Heart surgery (RACHS 1) score or the ARISTOTLE score, have been developed, outcome prediction remains difficult. New mathematical methods using deep neural networks associated with Bayesian statistical methods have been developed to give a better understanding of the complex interaction between different risk factors, to identify risk factors and group them in related families. This method has been successfully used to predict mortality in dialysis patient as well as to better describe complex psychiatric syndromes. The primary hypothesis of this study is that the use of these tools will give a better understanding on the factors affecting outcome after pediatric cardiac surgery. A network analysis using Gaussian Graphical Models, Mixed Graphical models and Bayesian networks will be used to identify single or groups of risk factors for morbidity and mortality after pediatric cardiac surgery under cardiopulmonary bypass.

NCT ID: NCT05521152 Recruiting - Anesthesia Clinical Trials

Norepinephrine for Prevention of Intraoperative Hypotension in Infants Undergoing Kasai Portoenterostomy

Start date: May 1, 2022
Phase: Phase 3
Study type: Interventional

This study aims to assess the efficacy and safety of prophylactic intraoperative norepinephrine infusion versus the standard technique on decreasing the incidence of intraoperative hypotension in infants undergoing Kasai portoenterostomy operation.

NCT ID: NCT05506930 Recruiting - Pediatrics Clinical Trials

ITM vs QL for Pediatric Open Lower Abdominal Procedures

Start date: August 17, 2022
Phase: Phase 4
Study type: Interventional

Patients between the ages of 12 months and 11 years who are undergoing an open lower abdominal procedure will be randomized to receive intrathecal morphine, or bilateral quadratus lumborum block. The investigators will compare the effect that intrathecal morphine and quadratus lumborum blocks have on the duration of pain control as demonstrated by charted pain scores and morphine equivalents in the first 48 hours. This study will also assess the side effects of each intervention such as nausea and vomiting, and itching.

NCT ID: NCT05480930 Recruiting - Telemedicine Clinical Trials

Improving Nighttime Access to Care and Treatment; Part 4-Haiti

INACT4-H
Start date: September 27, 2022
Phase: N/A
Study type: Interventional

Children in resource-limited settings who develop illness at night are often isolated from care, resulting in progression to an emergency. A telemedicine and medication delivery service (TMDS) is a viable healthcare delivery option to bridge the gap in nighttime care. This interrupted time series study (pre/post) will evaluate a digital clinical decision-support (dCDS) tool. The objective is to assess if the tool is associated with an improvement in guideline adherence by TMDS providers.

NCT ID: NCT05439798 Enrolling by invitation - Pediatrics Clinical Trials

Effect of Palonosetron, Ondansetron and Dexamethasone in the Prevention of Postoperative Nausea and Vomiting

Start date: June 1, 2022
Phase: Phase 3
Study type: Interventional

Postoperative nausea and vomiting (PONV) is an important outcome for the patient; patients generally rate PONV as worse than postoperative pain. The term PONV is typically used to describe nausea and/or vomiting or retching in the post-anesthetic care unit or within 24 hours postoperatively. Postoperative nausea and vomiting usually resolves or is treated without sequelae, but may require unexpected hospitalization and delay recovery room discharge. In the prophylaxis of PONV, ondansetron is one of the first widely used 5-HT3 receptor antagonists. Palonosetron, on the other hand, is a second generation 5-HT3 receptor antagonist with a half-life of 40 hours and higher receptor binding affinity. In addition, dexamethasone is another class of drugs that has emerged as a potentially useful prophylaxis for patients who are a corticosteroid and are at high risk of PONV with minimal side effects. However, a multimodal approach rather than antiemetic prophylaxis with a single pharmacological agent is described as a good way to reduce PONV, especially in high-risk cases. Conducted a previous systematic review and meta-analysis of the addition of dexamethasone to various 5-HT3 antagonists; however, it included only one study of palonosetron + dexamethasone. Since then, several meta-analyses have been performed on the efficacy of the combination of palonosetron and dexamethasone. This study was designed to find out the incidence of PONV by comparing the efficacy of the combination of palonosetron-dexamethasone, ondansetron-dexamethasone and dexamethasone alone for the prevention of PONV in patients undergoing pediatric laparoscopic surgery.

NCT ID: NCT05399290 Completed - Acne Vulgaris Clinical Trials

Subantimicrobial Doxycycline in Acne

Start date: November 19, 2020
Phase: Phase 4
Study type: Interventional

Antibiotic resistance is a public health problem that worsens the more physicians prescribe standard dose antibiotics for acne. Regardless of race, acne vulgaris is one of the most common dermatologic conditions among pediatric populations. As such, clinicians can make a large impact by practicing good antibiotic stewardship while still addressing the impact of acne on adolescents' self-esteem. Subantimicrobial doxycycline maintains its anti-inflammatory effects while eliminating antimicrobial properties and associated risks of drug resistance. Few studies, focused primarily on adults, have shown that subantimicrobial doxycycline is efficacious in treating acne from a physician standpoint. The investigators aim to investigate the patient experience of acne treatment with subantimicrobial dose doxycycline in the pediatric population.

NCT ID: NCT05382650 Recruiting - Pediatrics Clinical Trials

Survey of Human Rabies Immune Globulin Safety in Children

Start date: February 22, 2023
Phase:
Study type: Observational

This observational study will be conducted across the Houston Methodist system, including all hospital-based and freestanding emergency departments (ED), and up to 4 additional sites in the United States. The safety of human rabies immune globulin (HRIG) 300 IU/mL product (HyperRAB®) in pediatric patients has not been fully established. The purpose of this study is to evaluate the safety of HRIG 300 IU/mL when given to pediatric patients per standard of care for rabies postexposure prophylaxis (PEP) in the ED.

NCT ID: NCT05278143 Recruiting - type1diabetes Clinical Trials

AI for Glycemic Events Detection Via ECG in a Pediatric Population

Start date: April 12, 2021
Phase:
Study type: Observational

Paediatric Type 1 Diabetes (T1D) patients are at greater risk for developing severe hypo and hyperglycaemic events due to poor glycaemic control and incorrect Insulin administration. To reduce the risk of adverse events, patients need to achieve the best possible glycaemic control through frequent blood glucose monitoring with finger prick or Continuous Glucose Monitoring (CGM) systems. However, several non-invasive techniques have been proposed aiming at exploiting changes in physiological parameters based on glucose levels. The overall objective of this study is to validate a deep learning algorithm to detect glycaemic events using electrocardiogram (ECG) signals collected through non-invasive device. This observational single-arm study will enrol participants with T1D aged less than 18 years old who already use CGM device. Participants will wear an additional non-invasive wearable device, for recording physiological data (e.g. ECG, breathing waveform, 3-axis acceleration) for three days. ECG variables (e.g. heart rate variability features), respiratory rate, physical activity, posture and glycaemic measurements driven through ECG variables and other physiological signals (e.g. the frequency of hypo or hyperglycaemic events, the time spent in hypo- or hyperglycaemia and the time in range) are the main outcomes. A quality-of-life questionnaire will be administered to collect secondary outcomes. Data collected will be used to design, develop and validate the personalised and generalized classifiers based on a deep-learning artificial intelligence (AI) algorithm developed during the pilot study, able to automatically detect hypoglycaemic events by using few ECG heartbeats recorded with wearable devices. This study is a validation study that will carry out additional tests on a larger diabetes sample population, to validate the previous promising pilot results that were based on four healthy adult subjects. Therefore, this study will provide evidence on the reliability of the deep-learning artificial intelligence algorithms investigators developed, in detecting glycaemic events in paediatric diabetic patients in free-living conditions. Additionally, this study aims to develop the generalized AI model for the automated glycaemic events detection on real-time ECG.