Active clinical trials for "Hypoventilation"

The purpose of this study is to investigate the evolution of daytime partial pressure of carbon dioxide in the blood (PaCO2) after 6 weeks of noninvasive ventilation-pressure support ventilation (NIV-PSV) with target volume versus continuous positive airway pressure (CPAP) alone versus NIV-PSV.

The aim of this study is to determine whether respiratory disease exacerbations (a sudden worsening of symptoms) can be predicted by variables that are monitored by non-invasive ventilators (small machines that assist breathing) in patients requiring long term home ventilation. The investigators hypothesise that acute exacerbations of patients with respiratory disease and ventilatory failure will be predicted by changes in the respiratory variables monitored and stored by ventilators during chronic home ventilator use.

This study focuses on a comprehensive examination of obese patients with sleep-related breathing disorders including patients with OSA, sleep hypoventilation and OHS. The aim of this study is to (1) evaluate characteristics of and differences between severity levels of obesity-related breathing disorders, (2) discuss pathophysiological variables associated with hypoventilation during sleep or at daytime and (3) find functional parameters indicating sleep hypoventilation.

Advances in technology has meant that domiciliary non-invasive (NIV) devices can be remotely monitored via modems in patients' homes. Possible benefits and challenges of modem technology have yet to be established. This study explored the perspectives and experiences of patients, their carers' and health care professionals (HCPs) on the addition of modem technology in managing home NIV patients.

Different tools may be used to monitor the efficacy of home mechanical ventilation. Investigators aimed to compare the prognostic value of the different data obtained by capno-oxymetry in a mechanical ventilated neuromuscular disease's population.

The main objective will be to determine the effectiveness of home non-invasive ventilation by flow-time and time-pressure curves analysis in a cohort of patients with this treatment by digital diagnosis platform.

The indications for mechanical ventilation (MV) include excessive work of breathing, with or without evidence of respiratory muscle fatigue. The setting of the MV is still a challenge because it is based on criteria understudied, often subjective and observer-dependent. Despite several studies, to our knowledge has never been done before is the precise definition of the optimal range of ventilatory support. Novel and recognizable diagnostic techniques will be applied. No single parameter of the breathing pattern has good accuracy for the adjustment of ventilatory support. Non-invasive measures such as P0.1 and rate of muscle relaxation may have good accuracy for the adjustment of ventilatory support.

An observational study will be conducted in 20 hospitalized surgical patients routinely managed with opioids for anesthesia and post-operative pain control. Trachea Sound Sensor measurements and reference respiratory measurements will be recorded and analyzed to develop diagnostic algorithms that produce a risk-index score that detects/predicts progression from mild hypoventilation, to moderate hypoventilation, to severe hypoventilation due to opioids and other medications that cause respiratory depression. Our current Trachea Sound Sensor (TSS) has a wired Sony commercial microphone integrated into a commercial pediatric stethoscope, coupled to the skin surface over the trachea at the sternal notch. The Trachea Sound Sensor will measure and record the sounds of air moving within the proximal trachea during inhalation and exhalation. The microphone signal will be converted into an accurate measurement of the patient's respiratory rate and tidal volume (during inhalation & exhalation) over time, to determine the minute ventilation trend, breathing patterns, apnea episodes, and degree of snoring (due to partial upper airway obstruction). A commercial respiratory facemask and two pneumotachs (gas flow sensors) will also be used to accurately and continuously measure the patient's respiratory rate and tidal volume (during inhalation & exhalation) to determine the minute ventilation trend, breathing patterns, and apnea episodes. TSS data and reference respiratory data will be collected prior to surgery with the patient breathing normally (baseline), in the Operating Room (OR) during the induction and maintenance of anesthesia, in the Post Anesthesia Care Unit (PACU), and on the general nursing floors of Thomas Jefferson University Hospital (TJUH). The sounds of air flowing through the proximal trachea will be correlated with the reference breathing measurements using signal processing methods to optimize the measurement accuracy of RR, TV, breathing pattern, apnea episodes, and degree of snoring. A commercial accelerometer may be coupled to the skin surface of the neck (with tape) to measure body position and activity level. The TSS and vital sign trend data will be analyzed to produce a Risk-Index Score every 30 seconds with alerts and alarms that warn the patient and caregivers about progressive Opioid Induced Respiratory Depression (OIRD).

The conventional hypoxic challenge test might not predict 'fitness-to-fly' equally well in all patients. Patients at risk of hypercapnia with supplemental oxygen are not well studied. Th investigators will study children who have either neuromuscular weakness or central hypoventilation and who require nocturnal or intermittent daytime ventilator support. The study also aims to assess feasibility of a randomised controlled trial (RCT) comparing the standard hypoxic standard test to a modified test designed to better suit children with type two respiratory failure.

As part of developing a relay alarm project, the aim of the study is to test a sleeper's capability to wake up via a vibrating alarm around the wrist (vibrating bracelet).