Respiratory Rate as a Predictor of Weaning Failure from Mechanical Ventilation

Lima, Emídio Jorge Santos

doi:10.1016/j.bjane.2012.04.001

Cited by 5 publications

(5 citation statements)

References 17 publications

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“…After completion of SBT, patients in Group F had significantly higher respiratory rates than those in Group S. The findings are similar to research by Lima et al . [ 25 ], who suggested that a respiratory rate with a cut-off value of 24 breaths per minute was a predictor of weaning failure.…”

Section: Discussionmentioning

confidence: 99%

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

Kundu¹,

Baidya²,

Anand³

et al. 2022

ait

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The aim of providing mechanical ventilation in the intensive care unit (ICU) is to support the patient's respiration until the patient can maintain adequate ventilatory homeostasis. Once the airway and cardiopulmonary functions are stabilized and the primary disease process is resolved, patients are subjected to a spontaneous breathing trial (SBT), typically 30 to 120 minutes in duration, to gauge readiness for ventilator weaning [1]. Weaning from ventilation may account for almost 40% of the patient time spent in the ICU, and in as many as 20% of cases significant difficulties may be encountered [2]. Weaning failure occurs in patients who fail the initial SBT and in patients who develop respiratory distress

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Section: Discussionmentioning

confidence: 99%

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

Kundu¹,

Baidya²,

Anand³

et al. 2022

ait

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show abstract

“…The respiratory rate has been reported as an effective of weaning failure; the best cut-off point > 24 breaths per minute had a sensitivity of 100%, specificity of 85%, and accuracy of 88%. 19 Furthermore, respiratory rate is incorporated into the more commonly used index to predict weaning failure, the rapid shallow breathing index (RSBI). A rapid shallow breathing index higher than 105 during the SBT is considered highly predictive of weaning failure.…”

Section: Discussionmentioning

confidence: 99%

Can Lung Ultrasound Predict Mechanical Ventilation Weaning Outcomes in Critically Ill Adults?

Abdelwahab,

M. Abdelazeem,

M. Abdelhameed

et al. 2024

Benha Medical Journal

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This study aimed to assess the ability of lung ultrasound (LUS) to predict mechanical ventilation (MV) weaning outcomes in critically ill adults. Methods: A prospective observational study that analyzed data collected from 50 adult patients, mechanically ventilated for more than 48 hours and eligible for their first spontaneous breathing trial. A LUS was performed prior to and at the end of a 1-hour SBT. To quantify lung aeration, a LUS score was calculated. Patients were divided into two groups according to their response to weaning trials with group A showing successful weaning while group B showing failed weaning. All included patients were followed up to Intensive Care Unit discharge. Results: Weaning failure was observed in 36% of patients. LUS score showed a significant difference between both groups (P < 0.001). Pre-and postspontaneous breathing trial (post-SBT), LUS scores were significantly higher in the failed weaning group (14.44 ±2.52 and 18.83 ±3.18 respectively) than in the successful weaning group (11.25 ±3.05 and 12.53 ±3.41 respectively). A ROC analysis for the ability of post-SBT LUS score to predict weaning outcomes revealed a significant AUC of 0.911 with a 95% confidence interval ranging from 0.830-0.992 (P < 0.0001). The best cut-off was 14.5, at which sensitivity and specificity were 88.8% and 68.7%, respectively. Conclusions: Our data suggest that LUS can be used as a predictor of MV weaning outcomes in critically ill adults. A post-SBT LUS score cut-off value of 14.5 has a sensitivity and a specificity of 88.8% and 68.7%, respectively.

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“…The use of ventilators also often causes several effects in the form of respiratory tract infections, inflammation of the throat wall, or mucosa [18]. In a severe condition, it may cause respiratory failure due to narrowing of the respiratory tract due to swelling of the airways due to respiratory tract infections [19], [20]. This is because the air that enters the respiratory tract or lungs is still classified as dry air, which can trigger inflammation of the mucous layer or the outermost membrane of the throat [21].…”

Section: Introductionmentioning

confidence: 99%

Design of Ventilator with Gas Mixing, Tidal Volume, and Humidifier Parameters

Fajrin¹,

Susanto²,

Kristianto³

et al. 2022

Journal of Robotics and Control

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On the ventilator, there are several important parameters, including gas mixing, which functions to mix oxygen with free air, the tidal volume serves to supply mixed air to the patient, respiratory rate is the frequency of breath given to the patient, and the humidifier functions to regulate the temperature of the air given to the patient. In this research, the author intends to design a ventilator device which uses a working system to open and close the valve to distribute air to the patient. This tool uses several sensors: oxygen sensor KE-25F3, flow sensor yf-s201, pressure sensor MPX 5700, and temperature sensor DS 12B20. The tidal volume (VT) has 3 setting values: 700 ml, 500 ml, and 300 ml. The test is carried out by opening and closing the valve. The respiratory rate has 2 settings of 15 and 20 breaths/minute. In addition, the humidifier has 3 setting modes 32, 35, and 40o C. From the test results, the highest error was obtained in the 300 ml tidal volume test, which was 7.20% and in the respiratory rate test, the highest error value was 0%. The test results with the oxygen concentration parameter obtained the largest error value of 0.1% at 100% oxygen concentration. In testing the temperature and humidity parameters, the largest average error was 2.40% at 40o C setting. So, it can be concluded that the tool is feasible to use because of the level of small error and still within the standard calibration tolerance of 15%.

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Respiratory Rate as a Predictor of Weaning Failure from Mechanical Ventilation

Abstract: RR was an effective predictor of weaning failure. The best cut-off point was RR > 24 rpm, which differed from those reported in the literature (35 and 38 rpm). Only 6% of patients were reintubated, but RR or other weaning criteria did not identify them.

Cited by 5 publications

References 17 publications

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

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

Can Lung Ultrasound Predict Mechanical Ventilation Weaning Outcomes in Critically Ill Adults?

Design of Ventilator with Gas Mixing, Tidal Volume, and Humidifier Parameters

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