Rodrigo Cruvinel Figueiredo, Jackelyne Lopes Silva, Igor Bianchini, Luana Bezerra Gonçalves Rocha, Renata Casagrande Goncalves, Cristiane Ritter, Felipe Dal-Pizzol
{"title":"呼吸机相关肺炎早期诊断中的呼出气体分布图。","authors":"Rodrigo Cruvinel Figueiredo, Jackelyne Lopes Silva, Igor Bianchini, Luana Bezerra Gonçalves Rocha, Renata Casagrande Goncalves, Cristiane Ritter, Felipe Dal-Pizzol","doi":"10.62675/2965-2774.20240194-en","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>To predict exhaled air in patients undergoing mechanical ventilation during bedside diagnosis of ventilator-associated pneumonia.</p><p><strong>Methods: </strong>Air samples were collected through the expiratory branch of the mechanical ventilation circuit during the hospitalization of patients at the intensive care unit of Hospital São José in Criciúma (SC), Brazil. In this study, 83 participants were divided into two groups, namely, the group with and the group without ventilator-associated pneumonia.</p><p><strong>Results: </strong>The analysis of three air patterns revealed a predictive value for the diagnosis of ventilator-associated pneumonia. The analyses of samples from the first 12 hours of invasive mechanical ventilation were able to predict ventilator-associated pneumonia (p = 0.018). However, none of the other air samples collected during hospitalization were useful in identifying the severity or predicting early or late ventilator-associated pneumonia.</p><p><strong>Conclusion: </strong>The use of a gas analyzer may be helpful for the early identification of patients admitted to intensive care who will develop ventilator-associated pneumonia.</p>","PeriodicalId":72721,"journal":{"name":"Critical care science","volume":"36 ","pages":"e20240194en"},"PeriodicalIF":0.0000,"publicationDate":"2024-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11463982/pdf/","citationCount":"0","resultStr":"{\"title\":\"Exhaled air profile in the early diagnosis of ventilator-associated pneumonia.\",\"authors\":\"Rodrigo Cruvinel Figueiredo, Jackelyne Lopes Silva, Igor Bianchini, Luana Bezerra Gonçalves Rocha, Renata Casagrande Goncalves, Cristiane Ritter, Felipe Dal-Pizzol\",\"doi\":\"10.62675/2965-2774.20240194-en\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objective: </strong>To predict exhaled air in patients undergoing mechanical ventilation during bedside diagnosis of ventilator-associated pneumonia.</p><p><strong>Methods: </strong>Air samples were collected through the expiratory branch of the mechanical ventilation circuit during the hospitalization of patients at the intensive care unit of Hospital São José in Criciúma (SC), Brazil. In this study, 83 participants were divided into two groups, namely, the group with and the group without ventilator-associated pneumonia.</p><p><strong>Results: </strong>The analysis of three air patterns revealed a predictive value for the diagnosis of ventilator-associated pneumonia. The analyses of samples from the first 12 hours of invasive mechanical ventilation were able to predict ventilator-associated pneumonia (p = 0.018). However, none of the other air samples collected during hospitalization were useful in identifying the severity or predicting early or late ventilator-associated pneumonia.</p><p><strong>Conclusion: </strong>The use of a gas analyzer may be helpful for the early identification of patients admitted to intensive care who will develop ventilator-associated pneumonia.</p>\",\"PeriodicalId\":72721,\"journal\":{\"name\":\"Critical care science\",\"volume\":\"36 \",\"pages\":\"e20240194en\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-10-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11463982/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Critical care science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.62675/2965-2774.20240194-en\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Critical care science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.62675/2965-2774.20240194-en","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"","JCRName":"","Score":null,"Total":0}
Exhaled air profile in the early diagnosis of ventilator-associated pneumonia.
Objective: To predict exhaled air in patients undergoing mechanical ventilation during bedside diagnosis of ventilator-associated pneumonia.
Methods: Air samples were collected through the expiratory branch of the mechanical ventilation circuit during the hospitalization of patients at the intensive care unit of Hospital São José in Criciúma (SC), Brazil. In this study, 83 participants were divided into two groups, namely, the group with and the group without ventilator-associated pneumonia.
Results: The analysis of three air patterns revealed a predictive value for the diagnosis of ventilator-associated pneumonia. The analyses of samples from the first 12 hours of invasive mechanical ventilation were able to predict ventilator-associated pneumonia (p = 0.018). However, none of the other air samples collected during hospitalization were useful in identifying the severity or predicting early or late ventilator-associated pneumonia.
Conclusion: The use of a gas analyzer may be helpful for the early identification of patients admitted to intensive care who will develop ventilator-associated pneumonia.