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Prediction of Weaning Outcome from Mechanical Ventilation Using Diaphragmatic Rapid Shallow Breathing Index

MK Sen, Rohit Kumar, Shibdas Chakrabarti, Pranav Ish, Nitesh Gupta, NK Gupta, PK Shamil

2022Indian Journal of Critical Care Medicine24 citationsDOIOpen Access PDF

Abstract

Background: Diaphragmatic dysfunction has been increasingly documented to play a critical role to determine ventilator dependency and failure of weaning. Objective: The goal was to study the diagnostic accuracy of diaphragmatic rapid shallow breathing index (D-RSBI) as a predictor of weaning outcomes in comparison to RSBI. Materials and methods: A prospective observational study on consecutively admitted patients who were intubated and mechanically ventilated for a duration of at least 48 hours was carried out. The right hemidiaphragm displacement [diaphragm displacement (DD)] was calculated by M-mode ultrasonography, and respiratory rate (RR) and tidal volume (TV) were documented from the ventilator readings. Rapid shallow breathing index (RSBI) was measured as RR/TV (in liters); D-RSBI was calculated as RR/DD (in millimeters) and expressed as breath/minute/millimeter. Extubation failure was defined as the reinstitution of mechanical ventilation at the end of, or during the spontaneous breathing trial (SBT), re-intubation or the need of noninvasive ventilation (NIV) for the patient within 48 hours of extubation. Results: -value <0.001). Conclusion: Diaphragmatic rapid shallow breathing index has a positive correlation and greater diagnostic accuracy than RSBI, the conventional weaning index. How to cite this article: . Prediction of Weaning Outcome from Mechanical Ventilation Using Diaphragmatic Rapid Shallow Breathing Index. Indian J Crit Care Med 2022;26(9):1000-1005.

Topics & Concepts

MedicineSpontaneous breathing trialMechanical ventilationDiaphragmatic breathingTidal volumeRespiratory rateAnesthesiaWeaningVentilation (architecture)Receiver operating characteristicRespiratory systemInternal medicineHeart rateBlood pressureMechanical engineeringEngineeringAlternative medicinePathologyRespiratory Support and MechanismsNeuroscience of respiration and sleepDelphi Technique in Research
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