The Value of Rapid Shallow Breathing Indeks in Predicting Non-invasive Mechanical

NCT ID: NCT04780503

Last Updated: 2023-09-22

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

267 participants

Study Classification

OBSERVATIONAL

Study Start Date

2020-01-09

Study Completion Date

2021-01-09

Brief Summary

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There are some criteria such as the most frequently used parameters to predict the failure of non-invasive mechanical ventilation, the APACHE 2 score, the presence of pneumonia and ARDS in the etiology, and no improvement in one hour of treatment. However, APECHE 2 score, which is the broadest of these criteria and includes others, is a complex scoring in which a large number of parameters are evaluated together, dependent on laboratory results and still leaves the final decision to the physician with a complete evaluation. In addition, the APACHE 2 score is a more commonly used method for intensive care patients rather than emergency patients who need a quick decision. Therefore, there is a need for a fast and practical method that can predict NIMV failure and determine early intubation decision in the management of patients admitted to the emergency department with acute dyspnea. Rapid Shallow Breathing Index (RSBI) is a parameter calculated by dividing the respiratory rate by the tidal volume and is used to predict whether patients who are intubated in intensive care unit can be extubated successfully.

The aim of this study is to evaluate the success of RSBI in predicting intubation and mortality in patients presented to the emergency department with acute respiratory failure and had NIMV indication.

Detailed Description

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Respiratory failure is a challenging health problem that constitutes a significant part of emergency room visits (1). Acute respiratory failure treatment is a complex process in which pharmacological and non-pharmacological methods are used in combination. Non-invasive Mechanical Ventilation (NIMV) and Invasive Mechanical Ventilation (IMV) are life-saving methods commonly used in the emergency department in severe respiratory failure (2). In patients with severe dyspnea, NIMV improves alveolar gas exchange, with very successful results in selected patients (3). However, while NIMV cannot be used in patients who are unconscious, unable to protect the airway, have upper gastrointestinal bleeding and facial trauma and cannot adapt to non-invasive mechanical ventilation, these patients have IMV indication. Both methods are quite successful when used in selected cases. Therefore, patient selection is very important for NIMV and IMV (4). It is known that endotracheal intubation increases the risk of developing complications such as ventilator-associated pneumonia and sepsis. Therefore, unnecessary endotracheal intubation and invasive mechanical ventilation therapy are expected to increase mortality (5). On the other hand, delayed intubation decision is known to be an independent risk factor for increased mortality when NIMV fails (6) (7) (8). A method that predicts NIMV failure and enables effective mortality estimation may be useful in facilitating patient selection and providing appropriate treatment to patients. There are some criteria predicting that NIMV will fail in patients with severe respiratory distress and may be guiding for early intubation. The most commonly used of these are high APACHE 2 score, ARDS or pneumonia as the etiology of respiratory distress, advanced age, and no clinical improvement after 1 hour of treatment (9). However, APECHE 2 score, which is the broadest of these criteria and includes others, is a complex scoring in which a large number of parameters are evaluated together, dependent on laboratory results and still leaves the final decision to the physician with a complete evaluation. In addition, the APACHE 2 score is a more commonly used method for intensive care patients rather than emergency patients who need a quick decision. Therefore, there is a need for a fast and practical method that can predict NIMV failure and determine early intubation decision in the management of patients admitted to the emergency department with acute dyspnea. Rapid Shallow Breathing Index (RSBI) is a parameter calculated by dividing the respiratory rate by the tidal volume and is used to predict whether patients who are intubated in intensive care unit can be extubated successfully (10). In a study by Berg et al. (11) evaluating the endotracheal intubation and mortality rates of patients who underwent NIMV, it was found that the RSBI value above 105 obtained with a single measurement was significant in predicting NIV failure. Although this result is significant, it is not sufficient to make an early intubation decision. Considering that serial measurements are found to be more meaningful than a single measurement while predicting weaning success (12), serial measurements can provide more successful results in predicting intubation and mortality of patients receiving NIMV. Although the RSBI value obtained immediately after the initiation of NIMV is high, it is possible for the patient to be relieved after the patient has been treated with NIMV for a while and thus, the RSBI value may also decrease. For this reason, after these patients have been treated for a while, obtaining RSBI value once again and looking at the patient's response to treatment may provide more meaningful results.

The aim of this study is to evaluate the success of RSBI in predicting intubation and mortality in patients presented to the emergency department with acute respiratory failure and had NIMV indication.

Conditions

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Acute Respiratory Failure

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Study Groups

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Intubation Group/ Non-Intubation Group

Intubation group: Patients who failed noninvasive mechanical ventilation and who underwent endotracheal intubation Non-Intubation Group: Patients whose noninvasive mechanical ventilation is successful and endotracheal intubation is not applied

Rapid Shallow Breathing Index

Intervention Type DIAGNOSTIC_TEST

The RSBI is defined as the ratio of respiratory frequency to tidal volume.

Dying patients / Surviving patients

Dying patients :Patients with in-hospital mortality presenting with acute respiratory failure Surviving patients: Patients presenting and surviving due to acute respiratory failure

Rapid Shallow Breathing Index

Intervention Type DIAGNOSTIC_TEST

The RSBI is defined as the ratio of respiratory frequency to tidal volume.

Interventions

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Rapid Shallow Breathing Index

The RSBI is defined as the ratio of respiratory frequency to tidal volume.

Intervention Type DIAGNOSTIC_TEST

Eligibility Criteria

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Inclusion Criteria

* This study included patients 18 years of age and older with acute respiratory failure of any etiology and in need of NIVM. NIMV Initiation Criteria;
* Presentation of acute respiratory acidosis (pH ⩽7.35)
* Tachypnea (respiratory rate \>20-24 breaths/minute) despite the standart medical teraphy
* Arterial oxygen tension/inspiratory oxygen fraction ratio (PaO2/FIO2) ⩽200

Exclusion Criteria

* Pregnancy, trauma, NIMV intolerance and IMV initiation criteria;
* Cardiac or respiratory arrest
* Unstable cardiac arrhythmias
* Hemodynamic instability
* Severe encephalopathy (GCS \<10)
* Severe upper gastrointestinal bleeding
* Facial trauma
* Upper airway obstruction
* Inability to protect the airway
Minimum Eligible Age

18 Years

Maximum Eligible Age

99 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Izmir Katip Celebi University

OTHER

Sponsor Role lead

Responsible Party

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Adnan Yamanoğlu

Emergency Medicine Specialist

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

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Fatih Topal, MD

Role: STUDY_CHAIR

Izmir Katip Celebi University

Locations

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IKCU, Ataturk Training and Research Hospital, Department of Emergency Medicine

Izmir, , Turkey (Türkiye)

Site Status

Countries

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Turkey (Türkiye)

References

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Chatila W, Jacob B, Guaglionone D, Manthous CA. The unassisted respiratory rate-tidal volume ratio accurately predicts weaning outcome. Am J Med. 1996 Jul;101(1):61-7. doi: 10.1016/s0002-9343(96)00064-2.

Reference Type BACKGROUND
PMID: 8686717 (View on PubMed)

Shrestha AP, Shrestha R, Shrestha SK, Pradhan A. Prevalence of Dyspnea among Patients Attending the Emergency Department of a Tertiary Care Hospital: A Descriptive Cross-sectional Study. JNMA J Nepal Med Assoc. 2019 Sep-Oct;57(219):302-306. doi: 10.31729/jnma.4582.

Reference Type RESULT
PMID: 32329452 (View on PubMed)

Huang CC, Muo CH, Wu TF, Chi TY, Shen TC, Hsia TC, Shih CM. The application of non-invasive and invasive mechanical ventilation in the first episode of acute respiratory failure. Intern Emerg Med. 2021 Jan;16(1):83-91. doi: 10.1007/s11739-020-02315-1. Epub 2020 Mar 30.

Reference Type RESULT
PMID: 32232782 (View on PubMed)

Mas A, Masip J. Noninvasive ventilation in acute respiratory failure. Int J Chron Obstruct Pulmon Dis. 2014 Aug 11;9:837-52. doi: 10.2147/COPD.S42664. eCollection 2014.

Reference Type RESULT
PMID: 25143721 (View on PubMed)

Hayzy RC, McSpasson JI. Noninvasive ventilation in adults with acute respiratory failure: Benefits and contraindications. In: UpToDate, Post, TW (Ed), UpToDate, Waltham, MA, 2020.

Reference Type RESULT

Girou E, Schortgen F, Delclaux C, Brun-Buisson C, Blot F, Lefort Y, Lemaire F, Brochard L. Association of noninvasive ventilation with nosocomial infections and survival in critically ill patients. JAMA. 2000 Nov 8;284(18):2361-7. doi: 10.1001/jama.284.18.2361.

Reference Type RESULT
PMID: 11066187 (View on PubMed)

Esteban A, Frutos-Vivar F, Ferguson ND, Arabi Y, Apezteguia C, Gonzalez M, Epstein SK, Hill NS, Nava S, Soares MA, D'Empaire G, Alia I, Anzueto A. Noninvasive positive-pressure ventilation for respiratory failure after extubation. N Engl J Med. 2004 Jun 10;350(24):2452-60. doi: 10.1056/NEJMoa032736.

Reference Type RESULT
PMID: 15190137 (View on PubMed)

Rochwerg B, Brochard L, Elliott MW, Hess D, Hill NS, Nava S, Navalesi P Members Of The Steering Committee, Antonelli M, Brozek J, Conti G, Ferrer M, Guntupalli K, Jaber S, Keenan S, Mancebo J, Mehta S, Raoof S Members Of The Task Force. Official ERS/ATS clinical practice guidelines: noninvasive ventilation for acute respiratory failure. Eur Respir J. 2017 Aug 31;50(2):1602426. doi: 10.1183/13993003.02426-2016. Print 2017 Aug.

Reference Type RESULT
PMID: 28860265 (View on PubMed)

Demoule A, Chevret S, Carlucci A, Kouatchet A, Jaber S, Meziani F, Schmidt M, Schnell D, Clergue C, Aboab J, Rabbat A, Eon B, Guerin C, Georges H, Zuber B, Dellamonica J, Das V, Cousson J, Perez D, Brochard L, Azoulay E; oVNI Study Group; REVA Network (Research Network in Mechanical Ventilation). Changing use of noninvasive ventilation in critically ill patients: trends over 15 years in francophone countries. Intensive Care Med. 2016 Jan;42(1):82-92. doi: 10.1007/s00134-015-4087-4. Epub 2015 Oct 13.

Reference Type RESULT
PMID: 26464393 (View on PubMed)

Antonelli M, Conti G, Moro ML, Esquinas A, Gonzalez-Diaz G, Confalonieri M, Pelaia P, Principi T, Gregoretti C, Beltrame F, Pennisi MA, Arcangeli A, Proietti R, Passariello M, Meduri GU. Predictors of failure of noninvasive positive pressure ventilation in patients with acute hypoxemic respiratory failure: a multi-center study. Intensive Care Med. 2001 Nov;27(11):1718-28. doi: 10.1007/s00134-001-1114-4. Epub 2001 Oct 16.

Reference Type RESULT
PMID: 11810114 (View on PubMed)

Karthika M, Al Enezi FA, Pillai LV, Arabi YM. Rapid shallow breathing index. Ann Thorac Med. 2016 Jul-Sep;11(3):167-76. doi: 10.4103/1817-1737.176876.

Reference Type RESULT
PMID: 27512505 (View on PubMed)

Berg KM, Lang GR, Salciccioli JD, Bak E, Cocchi MN, Gautam S, Donnino MW. The rapid shallow breathing index as a predictor of failure of noninvasive ventilation for patients with acute respiratory failure. Respir Care. 2012 Oct;57(10):1548-54. doi: 10.4187/respcare.01597. Epub 2012 Mar 12.

Reference Type RESULT
PMID: 22417884 (View on PubMed)

Other Identifiers

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2020-GOKAE-0011

Identifier Type: -

Identifier Source: org_study_id

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