View clinical trials related to Pneumonia.
Filter by:The group A will receive percussions and diaphragmatic breathing with 1 session a day for 3 days in a week for 4 weeks. In this way total 12 sessions will be given to the patients. And group B will receive only diaphragmatic breathing with 1 session a day for total 3 days in a week for 4 weeks. By this intervention procedure, I will find out the effects of these techniques on airway clearance of the pneumonia patients, their effect on the quality of life and on Dyspnea. For this I will use 4 tool questionnaires that are 1-BCSS, 2- Modified Borg Dyspnea scale, 3-Rate of perceived exertion scale, 4- Health-related Quality of Life-14. BCSS will be used to assess breathlessness, cough and sputum retention. Modified Borg Dyspnea scale is 0-10 rated numerical scale used to measure Dyspnea. RPE is a way to measure the level of exertion a person feels during physical activity. HRQOL-14 will assess the quality of life of the pneumonia patients.
Pneumonia is the inflammation of lung parenchyma involving lungs alveoli and is a leading cause of lower respiratory tract infections and deaths around the globe and the number rises greatly after the Covid-19 pandemic. The Symptoms of Pneumonia is cough, fever, dyspnea, myalgia, altered blood gas ratio, and mental alteration. Treatment and management of this disease varies from patient to patient according to its severity stages .Blow Bottle supports the patient to remove excess secretions to increase pressure in the airways. This opens up the passageways in bronchioles, air behind the mucus push it into the larger airways .It will be easy to remove mucus by coughing or huffing. Hypoximia is a clinical feature of Pneumonia that requires a fraction of inspired oxygen FiO2 of 0.50 to maintain an oxygen saturation of 92%. This research of randomized clinical trial will check the comparative effects of Blow Bottle Technique and Acapella along with Diaphragmatic Breathing in patients with Pneumonia by taking sample of 50 patients through Non Probability convenience sampling and randomly allocating them to two groups A and B out of which A will receive both Blow Bottle and Diaphragmatic Breathing training, B will receive Acapella with Diaphragmatic Breathing upto the duration of 3 days per week for upto 4 weeks. Pre and post training outcomes of pulmonary function will be measured through BCSS ,Oxygen Saturation through Pulse Oximeter, and disease severity through Pneumonia severity index, and Who QOL questionnaire. The data will be analyzed through SPSS 21
Pneumonia is an infection of the lungs that is caused by bacteria, viruses, fungi, or parasites. It is characterized primarily by inflammation of the alveoli in the lungs or by alveoli that are filled with fluid (alveoli are microscopic sacs in the lungs that absorb oxygen). The symptoms of pneumonia can develop suddenly (over 24-48 hours) or may show more slowly, over several days. Common symptoms of pneumonia are likely to have a cough which can be dry, or may produce phlegm (thick mucus) that is yellow, green, brownish or bloodstained and breathing difficulty, wheezing and chest tightness where the rate will be high and the rhythm will be rapid and shallow. This activity encourages deep breathing, allowing a patient body to relax. Explain the patient that this exercise will help him or he can feel more relaxed. Make the patient to imagine that he/she is blowing up a balloon. Ask him/her to take in a deep breath; steadily and slowly blow up the huge balloon. See the balloon getting bigger, and bigger. Now ask the patient to close the eyes and imagine the balloon floating into the air. Let the patient continue blowing of balloons until he or she gets relaxed and calm. Percussion is a technique involving rhythmic tapping or clapping on the chest or back, serves as a means to move and loosen retained secretions within the airways. This mechanical intervention helps in removing mucus from the bronchial walls, and facilitates its expectoration and clearance.
Multiplex respiratory polymerase chain reaction (PCR) test has gained wide acceptance as an alternative to conventional culture methods for the detection of the causative agent of community-acquired pneumonia (CAP). The aim of this study is to evaluate the positivity and to determine the causative agent of CAP using multiplex respiratory PCR test in patients with diabetes mellitus.
The clinical trial aimes to evaluate multiple large language models in respiratory disease consultations by comparing their performance to that of human doctors across three major medical consultation scenarios. The main question aims to answer are: - How do large language models perform in comparison to human doctors in diagnosing and consulting on respiratory diseases across various clinical scenarios? In three clinical scenarios including the online query section, the disease diagnosis section and the medical explanation section, research assistants or volunteers will be asked to cross-question all LLMs or real doctors using predefined online questions and their own issues. After each questioning session, a short washout period is implemented to eliminate potential biases.
Randomized Clinical Trial of the impact of Chest radiograph AI-assisted triage and report generation upon clinical outcomes and an economic analysis of impact of AI decision support on radiology service delivery.
The purpose of this study aimed to compare the efficacy of Oxiris (Baxter) and M100 filters on IL-6 as primary outcomes and other blood cell counts, blood biochemistry (serum urea, creatinine, potassium, sodium), inflammation indicators (CRP, PCT), as secondary outcomes and safety (28 days mortality as a primary outcome and coagulopathy, lifespan of filter, usage of vasopressor, clinical conditions (ventilator-free days, ICU and hospital- length of stay) as a secondary outcome), clinical conditions (ventilator-free days, ICU and hospital- length of stay), and mortality of patients with pneumonia-related AKI.
The goal of this observational study is to explore the correlation between total sialic acid combined with superoxide dismutase and the diagnosis and prognosis of lipid pneumonia in the patient with lipid pneumonia, cough, bacterial and fungal pneumonia, cryptogenic organizing pneumonia, pulmonary alveolar proteinosis, lung mucinous adenocarcinoma and pulmonary edema. The main question it aims to answer is: Whether superoxide dismutase (SOD) and total sialic acid (TSA) could be used as diagnostic markers to distinguish lipid pneumonia from patient with cough, and bacterial and fungal pneumonia, cryptogenic organizing pneumonia, pulmonary alveolar proteinosis, lung mucinous adenocarcinoma and pulmonary edema, whether SOD and TSA be associated with the prognosis of patients with lipid pneumonia? Participants will answer online survey questions about their symptoms, changes in oxygen status, and changes in the most recent CT image of the lung for up to 10 years after treatment. We will count participants' baseline data including: gender, age, smoking history, comorbidities, lung function, imaging findings, hormone use or not, ICU treatment, death or not, the type of cause of lipid pneumonia, how it is diagnosed, and their baseline SOD and TSA.
This study aimed to determine the impact value of the BioFire FilmArray Pneumonia panel compared to conventional sputum culture in critically ill patients with pneumonia.
Predictive models can be applied in different areas, during the emergency of the COVID-19 pandemic, in fact, they have proven important in supporting health systems in planning strategic decisions and in formulating health policies for the containment of the disease. The Covid-19 pandemic, in particular, has represented a real challenge for our healthcare system. In Italy, it was divided into four main waves, each characterized by different types of patients and different therapeutic approaches progressively improved based on new scientific evidence. The objective is to carry out a study on the data of patients hospitalized for COVID-19 at the ASST of Lecco during all four pandemic waves, with different degrees of severity of illness, collecting the data of interest and applying it to they use artificial intelligence to identify recurring patterns of clinical outcome in terms of survival and secondary infectious complications, so as to build new reliable predictive statistical models that can be used to predict the outcome of the patients themselves. The strong ambition of this project is that the application of artificial intelligence to data of such significant quantity can allow us to build valid statistical models which can then be hypothetically applied to any patient to predict, based on anamnestic characteristics, blood chemical parameters. at baseline and at the set treatment, the probability of survival and complications