View clinical trials related to Surgery.
Filter by:A monocenter, prospective, double-blind, randomized controlled non-inferiority trial will be designed to investigate if ketorolac 10 mg is as effective for pain relief as the standard dose of 30 mg in patients undergoing robot assisted radical prostatectomy (RARP) or hysterectomy by laparoscopic assisted vaginal hysterectomy (LAVH) or total laparoscopic hysterectomy (TLH). It is hypothesised that the postoperative pain score at rest at 8 hours after surgery when receiving ketolorac 10 mg is non-inferior to the pain score at rest when receiving ketolorac 30mg.
The National Registry of Cardiovascular Surgery in Argentina is a registry of patients undergoing cardiovascular surgery that involves the entire country with the ultimate aim of determining the results of said surgery throughout the country.
The investigator proposes to use the cardiac coherence technique (Cardiac Coherence) coupled with a hypnosis session to reduce pre-operative anxiety.
Background: At present, effectively implementing smoking cessation programs in the health care system constitutes a major challenge. A unique opportunity to initiate smoking cessation focuses on smokers scheduled for surgery. These patients are not only highly motivated to quit smoking but also likely to benefit from a reduction in postoperative complications which may translate into a decrease of costs. Nevertheless, surgical patients are not routinely informed about the benefits of preoperative smoking cessation. Potential reasons for this missed opportunity may be lack of time and training of surgeons and anesthesiologists. The investigators therefore aim to analyse the impact of a preoperative high-intensity smoking cessation intervention on surgical complications up to a 90-day postoperative period in patients of various surgical disciplines. The hypothesis is that preoperative smoking cessation program improves outcomes in smokers undergoing intermediate to high-risk surgery. The primary objective is to compare complications between patients with an institutional multifaceted smoking cessation intervention starting four weeks before surgery compared to patients in the advice only group (control group) within a 90-day postoperative period. The primary endpoint is the Comprehensive Complication Index (CCI®) within 90 days of surgery. Secondary outcomes include length of hospital stay, cost of hospital stay, smoking abstinence, reduction in nicotine consumption. Methods: The present study is a single center, randomized trial with two parallel groups of smokers scheduled for surgery comparing surgery alone and surgery with preoperative smoking cessation. The investigators plan to randomize 251 patients. The primary endpoint is the Comprehensive Complication Index up to a 90-day postoperative period. The secondary endpoints include comparison of smoking abstinence, quality of life, mental health, length of stay, costs of care and difference in hospital reimbursement between the two groups. Discussion: The hypothesis is that preoperative smoking cessation program improves outcomes in smokers undergoing surgery.
The objective of this study is to develop a Decision Aid for Lung Cancer Molecular Testing (DA_LCMT) and to facilitate shared-decision making in patients who were diagnosed with lung adenocarcinoma by intraoperative frozen pathology about whether to conduct the molecular testing.
The objective of this study is to examine whether robot-assisted laparoscopy is superior compared to conventional laparoscopy as regards to patient outcome.
An unanticipated difficult laryngoscopy is associated with serious airway-related complications. The investigators developed a deep learning-based model that predicts a difficult laryngoscopy (Cormack-Lehane grade 3-4) from a cervical spine lateral X-ray using data from 14,135 patients undergoing thyroid surgery. This model showed excellent predictive performance, which was higher than that of other deep learning architectures. In this study, the investigators prospectively validate the model for predicting a difficult laryngoscopy and compare predictive power with clinical airway evaluation.
The Post discharge after surgery Virtual Care with Remote Automated Monitoring technology (PVC-RAM)-3 Trial is a multicentre, parallel group, superiority, randomized controlled trial to determine the effect of virtual care with remote automated monitoring (RAM) technology compared to standard care on length of index hospital stay after randomization, in adults who have undergone elective non cardiac surgery. Secondary outcomes at 30 days after randomization include 1) acute hospital care (composite of hospital readmission and emergency department visit) 2) hospital re-admission; 3) emergency department visit; 4) medication error detection; 5) medication error correction; 6) surgical site infection; and 7) days in hospital. Additional secondary outcomes are pain of any severity, and moderate-to-severe pain assessed at 15 and 30 days after randomization. The investigators will also assess optimal management of long-term health by evaluating among patients with atherosclerotic disease and current smokers whether patients are taking classes of efficacious medications at 30 days.
The current postoperative cataract surgery eye drop regimen used at Zuckerberg San Francisco General Hospital (ZSFG) is a significant burden for its patient population, contributing to high rates of non-adherence and the development of postoperative complications. The investigators propose to replace this complex regimen with a single administration of intraocular antibiotic and subconjunctival steroid at the time of surgery. This pilot study will obtain the preliminary data required to eventually fully evaluate this innovation in postoperative care in a safety-net population with respect to postoperative outcomes, patient compliance, and patient and caregiver satisfaction.
The project aims at analysing prognostic and predictive factors involved in diagnostics and surgical treatment of cysts and tumors in the pancreas and periampullary region using both clinical data and blood and tissue samples for biomarker development and validation.