View clinical trials related to Respiratory Depression.
Filter by:High flow nasal oxygen therapy (HFNO) is an established modality in the supportive treatment of patients suffering from acute hypoxemic respiratory failure. The high humidified gas flow supports patient's work of breathing, reduces dead space ventilation, and improves functional residual capacity while using an unobtrusive patient's face interface [Mauri et al, 2017; Möller et al, 2017]. As hyperoxia is considered not desirable [Barbateskovic et al, 2019] during any oxygen therapy, the inspired O2 concentration is usually adapted to a pre-set SpO2 target-range of 92-96% in patients without hypercapnia risk, and of 88-92% if a risk of hypercapnia is present [O'Driscoll et al, 2017; Beasley et al, 2015]. In most institutions, the standard of care is to manually adapt the FiO2, although patients frequently have a SpO2 value outside the target range. A new closed loop oxygen controller designed for HFNO was recently developed (Hamilton Medical, Bonaduz, Switzerland). The clinician sets SpO2 targets, and the software option adjusts FiO2 to keep SpO2 within the target ranges. The software option offers some alarms on low and high SpO2 and high FiO2. Given the capability, on the one hand, to quickly increase FiO2 in patients developing sudden and profound hypoxia, and, on the other hand, of automatically preventing hyperoxia in patients improving their oxygenation, such a system could be particularly useful in patients treated with HFNO. A short-term (4 hours vs 4 hours) crossover study indicated that this technique improves the time spent within SpO2 pre-defined target for ICU patients receiving high-flow nasal oxygen therapy [Roca et al, 2022]. Due to its simplicity, HFNO is increasingly used outside the ICU during transport and in the Emergency Room (ER). This environment poses specific challenges, as patients may deteriorate very quickly and depending on patient's flow, healthcare providers can easily be overwhelmed. We thus propose to evaluate closed loop controlled HFNO in ER patients. The hypothesis of the study is that closed loop oxygen control increases the time spent within clinically targeted SpO2 ranges and decreases the time spent outside clinical target SpO2 ranges as compared to manual oxygen control in ER patients treated with HFNO.
To meet the unmet need of better and safer pain relief for acute pain in the post-operative setting, a Vital-signs-integrated Patient-assisted Intravenous opioid Analgesia ("VPIA") Delivery System, with novel and intelligent software algorithms and specialised hardware was developed. In the previous project, the investigators have shown that this system has the potential to increase the safety and patient satisfaction with intravenous opioid analgesia. However, opportunities to develop more robust vital signs monitoring with the goal of ensuring continual and effective analgesia are identified. The primary aim of this proposal is to advance the development of technology (through new features and functionality) and perform clinical evaluation of the VPIA system with a larger sample size to show improvements in patient's satisfaction (pain relief) and robustness of system in terms of vital signs integration. Novel technology using adaptive vital signs controller, integrated with an infusion pump and single finger probe vital signs monitor system will be developed with the aim for commercialisation.
The concept of precision medicine - taking individual variability into account when planning preventions and interventions - is not new but is quickly gaining attention in this age of powerful methodology of patient characterization and development of tools to analyze large sets of data. Oncology is the most obvious field in which this information has been readily applied. Increasing focus, nationally and internationally, on developing broad databases of patient genetic information and research efforts evaluating those data will, hopefully, lead to the development and application of evidence-based data enhancing the practice of all fields of medicine. It has yet to become obvious how this information can best be applied to the field of anesthesiology. Most genomics work in anesthesia has been focused in the area of pain medicine. There is a known genetic influence on the potency of opioid-induced analgesia, however; a genetic component of opioid-induced respiratory depression has yet to be thoroughly evaluated. Respiratory depression plays a role in clinical care - from procedures requiring sedation with monitored anesthesia care to treating post-opertative pain and chronic pain - but perhaps its largest current role in the public arena is the unfortunate deaths caused by side effects due to drug overdose. Personalized medicine remains on the horizon for the field of anesthesia, but, as genetic testing becomes more affordable and mainstream in clinical practice, the potential applications are broad. Most readily would be its incorporation into development of patient specific pain regimens. Respiratory depression is a potentially lethal side effect of opioid therapy. In light of the opioid epidemic and CDC-scrutiny of opioid use, determining genetic profiles susceptible to respiratory depression could prove useful in further tailoring the treatment of pain both in the perioperative setting and in the chronic pain management setting.
This is a closed-loop system which is embodied in a novel and intelligent algorithm that takes into account patients' vital signs. The system allows better and responsive titration of personalized pain relief together with non-invasive physiological monitoring that measures oxygenation, breathing and heart rate continuously.