{"title":"Clinical prediction scores predicting weaning failure from invasive mechanical ventilation: Role and limitations.","authors":"Anish Gupta, Omender Singh, Deven Juneja","doi":"10.5492/wjccm.v13.i4.96482","DOIUrl":null,"url":null,"abstract":"<p><p>Invasive mechanical ventilation (IMV) has become integral to modern-day critical care. Even though critically ill patients frequently require IMV support, weaning from IMV remains an arduous task, with the reported weaning failure (WF) rates being as high as 50%. Optimizing the timing for weaning may aid in reducing time spent on the ventilator, associated adverse effects, patient discomfort, and medical care costs. Since weaning is a complex process and WF is often multi-factorial, several weaning scores have been developed to predict WF and aid decision-making. These scores are based on the patient's physiological and ventilatory parameters, but each has limitations. This review highlights the current role and limitations of the various clinical prediction scores available to predict WF.</p>","PeriodicalId":66959,"journal":{"name":"世界危重病急救学杂志(英文版)","volume":"13 4","pages":"96482"},"PeriodicalIF":0.0000,"publicationDate":"2024-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11577531/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"世界危重病急救学杂志(英文版)","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.5492/wjccm.v13.i4.96482","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Invasive mechanical ventilation (IMV) has become integral to modern-day critical care. Even though critically ill patients frequently require IMV support, weaning from IMV remains an arduous task, with the reported weaning failure (WF) rates being as high as 50%. Optimizing the timing for weaning may aid in reducing time spent on the ventilator, associated adverse effects, patient discomfort, and medical care costs. Since weaning is a complex process and WF is often multi-factorial, several weaning scores have been developed to predict WF and aid decision-making. These scores are based on the patient's physiological and ventilatory parameters, but each has limitations. This review highlights the current role and limitations of the various clinical prediction scores available to predict WF.