Clinical Research Directory

Machine Learning-Based Prediction of Postoperative Pain After Pediatric Ambulatory Surgery

This study aims to predict pain after surgery in children of ages 1 to 3 years by using computer programming (machine learning). Participant children will be observed before, during, and after surgery. Before surgery, the investigators will record each child's age, sex, weight, and the parent's level of anxiety using a short questionnaire (STAI: State Trait Anxiety Inventory). During surgery, the investigators will note the type of the surgery, how long it takes, and the medication given for pain relief. After surgery, the child's pain will be checked using the FLACC (Face, Legs, Activity, Cry, Consolability) scale, which assesses the child's face, legs, activity, crying, and how easy they are to comfort. For each assesment the children will be given points from 0 to 2. Pain will be measured 2 times. Firstly when the child reaches to the postoperative recovery room after they are monitorized. Secondly after 30 minutes spending in recovery room. At both times the pain scores and vital signs (pulse pressure and saturation) will be noted. No additional medication or intervention will be done throughout the study. All information will be stored without names or personal details. A computer model will study 80% of the data and then test itself on the remaining 20% of the collected data to see how well it can predict pain.

Clonidine in Ultrasound-guided Rectus Sheath Block for Outpatient Umbilical Hernioplasty

This clinical trial aims to evaluate the effectiveness of an ultrasound-guided nerve block technique as the sole anesthetic method for patients undergoing outpatient umbilical hernia surgery. The procedure, called rectus sheath block (RSB), involves injecting local anesthetic near the abdominal muscles to reduce pain during and after surgery. The study will compare two groups of adult patients: one receiving the nerve block with a medication called clonidine added to the anesthetic solution, and the other receiving the same block without clonidine. Clonidine may help improve pain control and reduce the need for additional pain medications. By analyzing pain scores, recovery quality, and potential side effects, the study seeks to determine whether the use of clonidine in this context is safe, cost-effective, and beneficial for patient recovery. Participants will answer questionnaires about their pain and recovery during the first 48 hours after surgery.

Efficacy and Safety of Cocktail of Ropivacaine for Local Infiltration Analgesia in Patients Undergoing Laparoscopic Cholecystectomy

The goal of this clinical trial is to learn if the use of cocktail of ropivacaine,sodium bicarbonate and dexamethasone for incision local infiltration analgesia in patients undergoing ambulatory laparoscopic cholecystectomy is safe and effective. The main questions it aims to answer are: Does the cocktail lower the The incidence of moderate to severe pain during movement stages within six hours after surgery. Researchers will compare the cocktail to ropivacaine for incision local infiltration analgesia to see if the cocktail works to moderate the postoperative pain of ambulatory laparoscopic cholecystectomy patients. Participants will: Receive the cocktail or ropivacaine for incision local infiltration analgesia at the end of the surgery. Answer the questions about postsurgical pain at rest or during motion(using a Numeric Rating Scale (NRS) of 0 to 10. Pain measurements were performed at 2, 6, 12, 24 hours,3,7,30 days and 3 months postoperatively.

The Fast-track Centre for Hip and Knee Replacement Database

This is a prospective study-registry on preoperative patient characteristics and postoperative complications in patients having fast-track hip and knee replacement surgery in 8 Danish dedicated arthroplasty departments from all five health regions in Denmark. The registry consists of detailed patient and physician reported preoperative characteristics and including prescribed medication and lab results. Follow-up is based on electronical medical records by dedicated nurses with physician backup and includes Clavien-Dindo and Comprehensive Complication Index scoring. All patients having day-surgery also completes a patient reported questionaire on health-care utilization and return to work by day 30. Finally, a machine-learning algorithm for identification of "high-risk" patients based on he preoperative data is included.

Evaluation of the Utility of Preanestes@s, a Web Based Application for Preoperative Assessment

In this prospective two-arm study, the investigators will evaluate the incidence of suboptimal preoperative assessments when the participants are evaluated through a web based application (Preanestes@s) versus the traditional outpatient interview.