Clinical Research Directory

Effects of Breastfeeding, Virtual Reality, and Stress Ball on Pain, Anxiety, Cortisol Levels, and Comfort During Episiotomy Repair

The goal of this clinical trial is to learn about the effects of three different interventions-breastfeeding, using a stress ball, or wearing virtual reality (VR) goggles-on pain, anxiety, and stress during episiotomy repair (stitching) after childbirth. It also aims to examine how these methods affect a mother's comfort after the procedure. The main questions it aims to answer are: Does breastfeeding, using a stress ball, or using VR goggles lower the mother's pain and anxiety during the repair? Do these interventions reduce the mother's biological stress levels, measured by saliva cortisol tests? Do these methods lead to higher postpartum comfort levels for the mother in the first 24 hours after birth? Researcher will compare these three intervention groups to a "control group" (mothers receiving standard hospital care) to see which approach is most effective. Participants will: Be randomly assigned to one of four groups: Breastfeeding, VR Goggles, Stress Ball, or Standard Care. Use their assigned intervention throughout the entire episiotomy repair process. Provide saliva samples before and after the procedure to measure stress hormones (cortisol). Rate their pain and anxiety levels using clinical scales twice: once before the procedure begins and once immediately after it is finished. Complete a survey about their comfort levels between 6 and 24 hours after the delivery.

Feasibility of Breathwork Intervention With Older Adults After Knee Surgery

Postoperative complications after surgical procedures, including following total knee arthroplasty (TKA), have a negative impact on the health and well-being of surgical patients. Older adults (≥65 years) are particularly vulnerable to postoperative complications and their associated morbidities due to the biological aging process. Older adults comprise nearly half of surgical patients worldwide, and this number is expected to increase in the next 10-20 years as the aging population continues to grow. TKA is the most common procedure undergone by older adults, and the rate of TKA procedures is also expected to rise. Despite perioperative guidelines and protocols to prevent postoperative complications, the prevalence of postoperative complications following TKA is approximately 12%. Given these statistics, millions of older adults undergoing TKA may be at risk for postoperative complications and their associated morbidities in the coming decades. Therefore, additional interventions are needed to combat postoperative complications in this population. The body's natural response to surgery, also known as the surgical stress response (SSR), contributes to postoperative complications through complex mechanisms involving the autonomic nervous system (ANS). Increased sympathetic nervous system (SNS) activity, or the body's fight-or-flight response, causes dysregulation in feedback systems that regulate the stress response, potentially leading to poorer outcomes. Interventions, such as breathwork, that induce the parasympathetic nervous system (PNS), or the body's rest-and-digest response, have been shown to balance the ANS, regulate stress biology, and improve outcomes. This study will examine the feasibility of adding a breathwork intervention (Box Breathing), compared to an attention control, to standard perioperative care for older adults undergoing TKA. This study will also examine the proof of concept that Box Breathing, compared to an attention control, may help regulate the SSR by assessing an objective measure of stress-related biology, diurnal cortisol rhythm, and gathering self-report information on pain, anxiety, depression, and quality of recovery following TKA.

TORNADO-Omics Techniques and Neural Networks for the Development of Predictive Risk Models

The goal of this observational study is to define a personalized risk model in the super healthy and homogeneous population of Italian Air Force high-performance pilots. This peculiar cohort conducts dynamic activities in an extreme environment, compared to a population of military people not involved in flight activity. The study integrates the analyses of biological samples (urine, blood, and saliva), clinical records, and occupational data collected at different time points and analyzed by omic-based approaches supported by Artificial Intelligence. Data resulting from the study will clarify many etiopathological mechanisms of diseases, allowing the creation of a model of analyses that can be extended to the civilian population and patient cohorts for the potentiation of precision and preventive medicine.