View clinical trials related to Pneumonia, Ventilator-Associated.
Filter by:Severe traumatic brain injury (STBI) is a leading cause of disability, mortality, and economic burden worldwide. The impact of severe traumatic brain injury (STBI) on the economy of developing countries like Pakistan is distressing. Pakistan has a large proportion of the young adult population in the World. Motorbike is the most common locomotive vehicle. These young ones are in the economically productive part of their lives. Their loss is an economical set back not only for their families but also for the Nation. Patients with STBI need standardized management in Neuro-critical care unit (NCCU). Although the setup and maintenance cost of an effective NCCU is one of the major burden on the budget of any public sector hospital, but the young survivor in turn can be productive for the Nation. During mechanical ventilation, severe traumatic brain injury patients frequently develop ventilator-associated pneumonia (VAP). Ventilator-associated pneumonia can be evaluated using Clinical pulmonary infection score (CPIS). CPIS is considered as an important clinical indicator of pneumonia in NCCU. Bronchoalveolar Lavage (BAL) is a minimally invasive procedure done with instillation of normal saline into subsegments of the lung followed by suction and collection of the instilled fluid for analysis with flexible bronchoscope. Patients with moderate and severe traumatic brain injury usually present with altered conscious level, and most of them already have aspiration of vomitus, debris and secretions which increase the risk of VAP in them. Bronchoalveolar lavage can be helpful in preventing this dreadful VAP by clearing the airways. The aim of this study is to find out the effect of early Bronchoalveolar Lavage on severity of development of VAP assessed through clinical pulmonary infection score (CPIS) in TBI patients.
Ventilator-associated pneumonia (VAP) remains the most frequent healthcare-associated infection (HAI) in the intensive care unit (ICU) and one of the most critical risk factors associated with both significant morbidity as well as mortality. Although VAP treatment relies on early and appropriate antimicrobial therapy, several preventive measures have been described in the literature in order to limit its incidence and clinical impact in the ICU. Among these, preventing biofilm formation on the inner surface of the endotracheal tube appears to hold promise. Yet there is a lack of clinical relevant data documenting a causal relation between biofilm formation and VAP. Designed to overcome this critical limitation, the BIOPAVIR study intends to provide a better structural and microbiological characterization of endotracheal tube biofilm in critically ill patients at increased risk for the development of VAP in ICU during COVID-19 pandemic.
Ventilator-associated pneumonia (VAP) refers to a lower respiratory tract nosocomial infection acquired >48h after being intubated in Intensive Care Units. Pathogenesis of VAP is mechanical and associated with microaspiration and leakage of oropharyngeal secretions around the endotracheal tube. A novel approach to VAP will attempt to explore how the abrupt ecological order of acute infection (high bacterial biomass, low community diversity) emerges from the dynamic homeostasis of a pre-existing ecosystem in which lung microbiota and local immunity interaction play their essential role. Therefore, the investigators aim to explore if oral and lung microbiota modifications with local immunity changes, contribute in the pathogenesis of VAP in patients intubated for non-pulmonary reasons. Early changes in the host microbiota with the innate immunity system impairs tissue homeostasis and may represent a new distinct condition and a potential tool for early diagnosis and prevention of VAP.
This study is observational and double blind. It evaluates the validity of presepsin (a serum biomarker of bacterial infections) as early biomarker of Ventilator Associated Pneumonia. It will be measured at day 0 (ICU admission) and every 48 hours in every patient with Sars-Cov 2 interstitial pneumonia requiring invasive mechanical ventilation (see inclusion ad exclusion criteria) until Day 30, ICU discharge or ICU death. There will be no change in clinical practice and in pneumonia diagnosis. We will examine how the elevation of presepsin level could be an early marker of ventilator associated pneumonia or a marker of bacterial pneumonia at ICU admission, before the microbiological results or clinical diagnosis.
Secondary infections remain a major cause of mortality in critically ill patients, mainly because of high prevalence of multidrug-resistant microorganisms. Therefore strategies aimed to reduce the incidence of ventilator-associated pneumoniae (VAP) and bloodstream infections are of utmost important. There is robust data on selective digestive decontamination (SDD) efficacy in reduction of secondary infections in intensive care units (ICU) with low rates of antibacterial resistance. However the data received from hospitals with moderate-to-high rates of resistance is equivocal. This as an interventional parallel open-label study investigating the effect of selective digestive decontamination on the rates of ventilator-associated pneumonia in critically ill patients admitted to the ICU with high prevalence of drug-resistant bacteria. Secondary outcomes include rates of bloodstream infections, mortality, duration of mechanical ventilation, duration of ICU stay, resistance selection and overall antibiotic consumption.
Little is known about how lung mechanics are affected during the very early phase after starting mechanical ventilation. Since the conventional method of measuring esophageal pressure is complicated, hard to interpret and expensive, there are no studies on lung mechanics on intensive care patients directly after intubation, during the first hours of ventilator treatment and forward until the ventilator treatment is withdrawn. Published studies have collected data using the standard methods from day 1 to 3 of ventilator treatment for respiratory system mechanics, i.e. the combined mechanics of lung and chest wall. Consequently, information on lung mechanical properties during the first critical hours of ventilator treatment is missing and individualization of ventilator care done on the basis of respiratory system mechanics, which are not representative of lung mechanics on an individual patient basis. We have developed a PEEP-step method based on a change of PEEP up and down in one or two steps, where the change in end-expiratory lung volume ΔEELV) is determined and lung compliance calculated as ΔEELV divided by ΔPEEP (CL = ΔEELV/ΔPEEP). This simple non-invasive method for separating lung and chest wall mechanics provides an opportunity to enhance the knowledge of lung compliance and the transpulmonary pressure. After the two-PEEP-step procedure, the PEEP level where transpulmonary driving pressure is lowest can be calculated for any chosen tidal volume. The aim of the present study in the ICU is to survey lung mechanics from start of mechanical ventilation until extubation and to determine PEEP level with lowest (least injurious) transpulmonary driving pressure during ventilator treatment. The aim of the study during anesthesia in the OR, is to survey lung mechanics in lung healthy and identify patients with lung conditions before anesthesia, which may have an increased risk of postoperative complications.
HVAPNOR consists of Three work packages: 1. Prospective observational study of Hospital (HAP) - and ventilator-Associated pneumonia (VAP) at 5 hospitals in Norway. Establish optimized routines for microbiological sampling, diagnostics and antibiotic stewardship.. 2. Biomarker studies in HAP and VAP. 3. Studies on capacity building in HAP and VAP diagnostics.
The aim of this study is to determine the risk factors for development of ventilator-associated pneumonia (VAP) and to identify the prognostic factors of VAP among Coronavirus Disease 2019 (CoViD-19) patients. We hypothesized that CoViD-19 serves as a high risk factor for the development of VAP and it affects clinical outcome measures negatively.
This project aims to use artificial intelligence (image discrimination) algorithms, specifically convolutional neural networks (CNNs) for scanning chest radiographs in the emergency department (triage) in patients with suspected respiratory symptoms (fever, cough, myalgia) of coronavirus infection COVID 19. The objective is to create and validate a software solution that discriminates on the basis of the chest x-ray between Covid-19 pneumonitis and influenza
Serious Pneumonia and Critical Pneumonia caused by the 2019-nCOV infection greatly threats patients' life, UC-MSCs treatment has been proved to play a role in curing multiple diseases. And this study is conducted to find out whether or not it will function in 2019-nCOV infection Pneumonia.