Prediction of weaning success from invasive mechanical ventilation remains a challenge in everyday clinical practice.Several prediction scores have been developed to guide success during spontaneous breathing trials t...Prediction of weaning success from invasive mechanical ventilation remains a challenge in everyday clinical practice.Several prediction scores have been developed to guide success during spontaneous breathing trials to help with weaning decisions.These scores aim to provide a structured framework to support clinical judgment.However,their effectiveness varies across patient populations,and their predictive accuracy remains inconsistent.In this review,we aim to identify the strengths and limitations of commonly used clinical prediction tools in assessing readiness for ventilator liberation.While scores such as the Rapid Shallow Breathing Index and the Integrative Weaning Index are widely adopted,their sensitivity and specificity often fall short in complex clinical settings.Factors such as underlying disease pathophysiology,patient characteristics,and clinician subjectivity impact score performance and reliability.Moreover,disparities in validation across diverse populations limit generalizability.With growing interest in artificial intelligence(AI)and machine learning,there is potential for enhanced prediction models that integrate multidimensional data and adapt to individual patient profiles.However,current AI approaches face challenges related to interpretability,bias,and ethical implementation.This paper underscores the need for more robust,individualized,and transparent prediction systems and advocates for careful integration of emerging technologies into clinical workflows to optimize weaning success and patient outcomes.展开更多
Traumatic Brain Injury is a major cause of death and long-term disability.The early identification of patients at high risk of mortality is important for both management and prognosis.Although many modified scoring sy...Traumatic Brain Injury is a major cause of death and long-term disability.The early identification of patients at high risk of mortality is important for both management and prognosis.Although many modified scoring systems have been developed for improving the prediction accuracy in patients with trauma,few studies have focused on prediction accuracy and application in patients with traumatic brain injury.The shock index(SI)which was first introduced in the 1960s has shown to strongly correlate degree of circulatory shock with increasing SI.In this editorial we comment on a publication by Carteri et al wherein they perform a retrospective analysis studying the predictive potential of SI and its variants in populations with severe traumatic brain injury.展开更多
primarily driven by advancements in technology,changes in healthcare delivery,and a deeper understanding of disease processes.Advancements in technology have revolutionized patient monitoring,diagnosis,and treatment i...primarily driven by advancements in technology,changes in healthcare delivery,and a deeper understanding of disease processes.Advancements in technology have revolutionized patient monitoring,diagnosis,and treatment in the critical care setting.From minimally invasive procedures to advances imaging techniques,clinicians now have access to a wide array of tools to assess and manage critically ill patients more effectively.In this editorial we comment on the review article published by Padte S et al wherein they concisely describe the latest developments in critical care medicine.展开更多
Pneumonia is a disease associated with significant healthcare burden with over 1.5 million hospitalizations annually and is the eighth leading cause of death in the United States.While community-acquired pneumonia(CAP...Pneumonia is a disease associated with significant healthcare burden with over 1.5 million hospitalizations annually and is the eighth leading cause of death in the United States.While community-acquired pneumonia(CAP)is generally considered an acute time-limited illness,it is associated with high long-term mortality,with nearly one-third of patients requiring hospitalization dying within one year.An increasing trend of detecting multidrug-resistant(MDR)organisms causing CAP has been observed,especially in the Western world.In this editorial,we discuss about a publication by Jatteppanavar et al which reported that a case of a MDR organism was the culprit in developing pneumonia,bacteremia,and infective endocarditis that led to the patient’s death.The early detection of these resistant organisms helps improve patient outcomes.Significant advances have been made in the biotechnological and research space,but preventive measures,diagnostic techniques,and treatment strategies need to be developed.展开更多
Mechanical ventilation(MV)is an important strategy for improving the survival of patients with respiratory failure.However,MV is associated with aggravation of lung injury,with ventilator-induced lung injury(VILI)beco...Mechanical ventilation(MV)is an important strategy for improving the survival of patients with respiratory failure.However,MV is associated with aggravation of lung injury,with ventilator-induced lung injury(VILI)becoming a major concern.Thus,ventilation protection strategies have been developed to minimize complications from MV,with the goal of relieving excessive breathing workload,improving gas exchange,and minimizing VILI.By opting for lower tidal volumes,clinicians seek to strike a balance between providing adequate ventilation to support gas exchange and preventing overdistension of the alveoli,which can contribute to lung injury.Additionally,other factors play a role in optimizing lung protection during MV,including adequate positive end-expiratory pressure levels,to maintain alveolar recruitment and prevent atelectasis as well as careful consideration of plateau pressures to avoid excessive stress on the lung parenchyma.展开更多
文摘Prediction of weaning success from invasive mechanical ventilation remains a challenge in everyday clinical practice.Several prediction scores have been developed to guide success during spontaneous breathing trials to help with weaning decisions.These scores aim to provide a structured framework to support clinical judgment.However,their effectiveness varies across patient populations,and their predictive accuracy remains inconsistent.In this review,we aim to identify the strengths and limitations of commonly used clinical prediction tools in assessing readiness for ventilator liberation.While scores such as the Rapid Shallow Breathing Index and the Integrative Weaning Index are widely adopted,their sensitivity and specificity often fall short in complex clinical settings.Factors such as underlying disease pathophysiology,patient characteristics,and clinician subjectivity impact score performance and reliability.Moreover,disparities in validation across diverse populations limit generalizability.With growing interest in artificial intelligence(AI)and machine learning,there is potential for enhanced prediction models that integrate multidimensional data and adapt to individual patient profiles.However,current AI approaches face challenges related to interpretability,bias,and ethical implementation.This paper underscores the need for more robust,individualized,and transparent prediction systems and advocates for careful integration of emerging technologies into clinical workflows to optimize weaning success and patient outcomes.
文摘Traumatic Brain Injury is a major cause of death and long-term disability.The early identification of patients at high risk of mortality is important for both management and prognosis.Although many modified scoring systems have been developed for improving the prediction accuracy in patients with trauma,few studies have focused on prediction accuracy and application in patients with traumatic brain injury.The shock index(SI)which was first introduced in the 1960s has shown to strongly correlate degree of circulatory shock with increasing SI.In this editorial we comment on a publication by Carteri et al wherein they perform a retrospective analysis studying the predictive potential of SI and its variants in populations with severe traumatic brain injury.
文摘primarily driven by advancements in technology,changes in healthcare delivery,and a deeper understanding of disease processes.Advancements in technology have revolutionized patient monitoring,diagnosis,and treatment in the critical care setting.From minimally invasive procedures to advances imaging techniques,clinicians now have access to a wide array of tools to assess and manage critically ill patients more effectively.In this editorial we comment on the review article published by Padte S et al wherein they concisely describe the latest developments in critical care medicine.
文摘Pneumonia is a disease associated with significant healthcare burden with over 1.5 million hospitalizations annually and is the eighth leading cause of death in the United States.While community-acquired pneumonia(CAP)is generally considered an acute time-limited illness,it is associated with high long-term mortality,with nearly one-third of patients requiring hospitalization dying within one year.An increasing trend of detecting multidrug-resistant(MDR)organisms causing CAP has been observed,especially in the Western world.In this editorial,we discuss about a publication by Jatteppanavar et al which reported that a case of a MDR organism was the culprit in developing pneumonia,bacteremia,and infective endocarditis that led to the patient’s death.The early detection of these resistant organisms helps improve patient outcomes.Significant advances have been made in the biotechnological and research space,but preventive measures,diagnostic techniques,and treatment strategies need to be developed.
文摘Mechanical ventilation(MV)is an important strategy for improving the survival of patients with respiratory failure.However,MV is associated with aggravation of lung injury,with ventilator-induced lung injury(VILI)becoming a major concern.Thus,ventilation protection strategies have been developed to minimize complications from MV,with the goal of relieving excessive breathing workload,improving gas exchange,and minimizing VILI.By opting for lower tidal volumes,clinicians seek to strike a balance between providing adequate ventilation to support gas exchange and preventing overdistension of the alveoli,which can contribute to lung injury.Additionally,other factors play a role in optimizing lung protection during MV,including adequate positive end-expiratory pressure levels,to maintain alveolar recruitment and prevent atelectasis as well as careful consideration of plateau pressures to avoid excessive stress on the lung parenchyma.
