Literature DB >> 36213721

Diaphragmatic Rapid Shallow Breathing Index: A Simple Tool to Give more Power to Predict Weaning?

Riddhi Kundu1, Shrikanth Srinivasan1.   

Abstract

How to cite this article: Kundu R, Srinivasan S. Diaphragmatic Rapid Shallow Breathing Index: A Simple Tool to Give more Power to Predict Weaning? Indian J Crit Care Med 2022;26(9):985-986.
Copyright © 2022; The Author(s).

Entities:  

Keywords:  Diaphragm excursion; Mechanical ventilation; Weaning from mechanical ventilation

Year:  2022        PMID: 36213721      PMCID: PMC9492742          DOI: 10.5005/jp-journals-10071-24318

Source DB:  PubMed          Journal:  Indian J Crit Care Med        ISSN: 0972-5229


Liberating patients from mechanical ventilation (MV) successfully remains one of the foremost and frequently encountered challenges for the intensive care physician. Conventionally, patients are subjected to a spontaneous breathing trial (SBT) varying in duration range 30–120 minutes, during which the patient is closely observed for any worsening clinical signs or respiratory fatigue.[1] Failure in liberation from MV presumably leads to an increased intensive care unit (ICU) and hospital length of stay, greater patient morbidity and mortality, and higher healthcare costs.[2] A great deal of research has focused on finding successful predictors of liberation from MV. Notable among them is the rapid shallow breathing index (RSBI) described by Yang and Tobin in their seminal article more than three decades back that continues to find relevance even today.[3] The widespread availability of bedside ultrasonography, and physicians being increasingly accustomed to its use have enabled us to gain additional information about the changes in respiratory muscles, lung, and cardiac function during the process of ventilator liberation.[2] The recent investigations focusing on lung, diaphragm, or cardiac ultrasound highlight the potential of ultrasonography to enhance the prediction of extubation outcomes.[4,5] Diaphragmatic atrophy following a prolonged duration of MV has been well described. Diaphragmatic thickness has been found to decrease at the rate of 6–7.5% per day in ventilated patients.[6] Curiously, a subset of patients may show an increase in diaphragmatic thickness as a consequence of excessive spontaneous efforts or tissue edema that also portends a poor prognosis. Ultrasound visualization of the diaphragm has enabled us to assess diaphragmatic functional activity at the bedside using measurements of diaphragmatic displacement and diaphragmatic thickness fraction. The usual cut-offs to diagnose diaphragmatic dysfunction in the critically ill is less than 11–14 mm for diaphragmatic displacement and 30–36% for thickness fraction.[7] Spadaro et al. reported the favorable profile of diaphragmatic-RSBI (D-RSBI) as a predictor of weaning failure following a T-tube SBT with an area under the receiver operating characteristic curve (AUROC) of 0.89 compared to 0.72 for RSBI.[8] They modified the traditional RSBI equation by using ultrasonographically measured diaphragmatic displacement instead of tidal volume in the calculation of D-RSBI (expressed as breath/minute/millimeter). The authors hypothesized that the patients with underlying diaphragmatic dysfunction could continue to generate normal tidal volumes during SBT due to accessory muscle activity compensating for diaphragmatic weakness. However, accessory muscles are more likely to fatigue in the subsequent hours leading to excess diaphragmatic load and weaning failure. Given the ability of bedside ultrasound scan (USG) to measure diaphragmatic displacement relatively easily at the bedside, the authors felt that D-RSBI had a better clinical profile and could unmask weaning failure more efficiently compared to RSBI. In the current issue of Indian Journal of Critical Care Medicine, Gupta et al.[9] describe the use of D-RSBI as a predictor of weaning failure in 45 mechanically ventilated patients, in which D-RSBI comprehensively outperformed RSBI as a predictor of weaning failure (AUROC 0.97 for D-RSBI vs 0.70 for RSBI, p <0.05). The findings of the study are in line with similar published research.[10] Around 58% of the current study population were intubated because of hypercapnic respiratory failure due to underlying chronic obstructive pulmonary disease (COPD), in whom extubation to non-invasive ventilation seems to be an accepted practice to avoid re-intubation. This was, however, not pursued in the current study due to the prespecified study protocol and definition of weaning failure. The limitations of diaphragmatic ultrasonography are manifold. Diaphragmatic measurements suffer from differences in intra-observer and interobserver variability.[11] Small differences in measurement can potentially affect the results. Diaphragmatic excursion is affected by the patient's age, sex, loading conditions of the diaphragm, patient position, respiratory efforts, and timing of measurement during the course of a SBT.[12] Kim et al. found that that diaphragmatic displacement of less than 10 mm at the end of a 2-hour SBT to be a better predictor of weaning failure.[13] Patients in this study had diaphragmatic displacements measured at the beginning of SBT, yet evidently, it did not affect the diagnostic accuracy of D-RSBI. Given the small sample size of the weaning failure group (n = 9) in the current study, the possibility of inflated effect size and low reproducibility remains. It is also important to understand that patients with diaphragmatic dysfunction can still be extubated successfully.[14] Patients may often have other coexistent contributors to weaning failure such as such as cardiac dysfunction, loss of lung aeration, the large volume of secretions, etc. during the process of weaning. So, in practice, it makes intuitive sense to use an integrated approach evaluating cardiac, respiratory muscle, and lung aeration during weaning rather than to look at diaphragm in isolation.[5] Ultrasound evaluation should be used as a complimentary tool to clinical examination to gain insight into these underlying physiological processes and institute corrective measures accordingly.

Orcid

Riddhi Kundu https://orcid.org/0000-0001-6222-1974 Shrikanth Srinivasan https://orcid.org/0000-0002-5336-3767
  13 in total

1.  A prospective study of indexes predicting the outcome of trials of weaning from mechanical ventilation.

Authors:  K L Yang; M J Tobin
Journal:  N Engl J Med       Date:  1991-05-23       Impact factor: 91.245

2.  Measuring diaphragm thickness with ultrasound in mechanically ventilated patients: feasibility, reproducibility and validity.

Authors:  Ewan C Goligher; Franco Laghi; Michael E Detsky; Paulina Farias; Alistair Murray; Deborah Brace; Laurent J Brochard; Steffen-Sebastien Bolz; Steffen Sebastien-Bolz; Gordon D Rubenfeld; Brian P Kavanagh; Niall D Ferguson
Journal:  Intensive Care Med       Date:  2015-02-19       Impact factor: 17.440

Review 3.  Ultrasonography evaluation during the weaning process: the heart, the diaphragm, the pleura and the lung.

Authors:  P Mayo; G Volpicelli; N Lerolle; A Schreiber; P Doelken; A Vieillard-Baron
Journal:  Intensive Care Med       Date:  2016-03-07       Impact factor: 17.440

4.  Integrated ultrasound protocol in predicting weaning success and extubation failure: a prospective observational study.

Authors:  Riddhi Kundu; Dalim Baidya; Rahul Anand; Souvik Maitra; Kapil Soni; Rajeshwari Subramanium
Journal:  Anaesthesiol Intensive Ther       Date:  2022

5.  Diaphragmatic dysfunction in patients with ICU-acquired weakness and its impact on extubation failure.

Authors:  Boris Jung; Pierre Henri Moury; Martin Mahul; Audrey de Jong; Fabrice Galia; Albert Prades; Pierre Albaladejo; Gerald Chanques; Nicolas Molinari; Samir Jaber
Journal:  Intensive Care Med       Date:  2015-11-16       Impact factor: 17.440

6.  Mechanical Ventilation and Diaphragmatic Atrophy in Critically Ill Patients: An Ultrasound Study.

Authors:  Massimo Zambon; Paolo Beccaria; Jun Matsuno; Marco Gemma; Elena Frati; Sergio Colombo; Luca Cabrini; Giovanni Landoni; Alberto Zangrillo
Journal:  Crit Care Med       Date:  2016-07       Impact factor: 7.598

7.  Diaphragm ultrasound as a new method to predict extubation outcome in mechanically ventilated patients.

Authors:  Shereen Farghaly; Ali A Hasan
Journal:  Aust Crit Care       Date:  2016-04-22       Impact factor: 2.737

8.  Role of diaphragmatic rapid shallow breathing index in predicting weaning outcome in patients with acute exacerbation of COPD.

Authors:  Ahmad Abbas; Sameh Embarak; Mohammad Walaa; Samah Mohamed Lutfy
Journal:  Int J Chron Obstruct Pulmon Dis       Date:  2018-05-21

Review 9.  A narrative review of diaphragm ultrasound to predict weaning from mechanical ventilation: where are we and where are we heading?

Authors:  Peter Turton; Sondus ALAidarous; Ingeborg Welters
Journal:  Ultrasound J       Date:  2019-02-28

10.  A comprehensive protocol for ventilator weaning and extubation: a prospective observational study.

Authors:  Kenichi Nitta; Kazufumi Okamoto; Hiroshi Imamura; Katsunori Mochizuki; Hiroshi Takayama; Hiroshi Kamijo; Mayumi Okada; Kanako Takeshige; Yuichiro Kashima; Takahisa Satou
Journal:  J Intensive Care       Date:  2019-11-06
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