Dataset Information

The Contribution of Chest X-Ray to Predict Extubation Failure in Mechanically Ventilated Patients Using Machine Learning-Based Algorithms.

ABSTRACT:

Objectives

To evaluate the contribution of a preextubation chest X-ray (CXR) to identify the risk of extubation failure in mechanically ventilated patients.

Design

Retrospective cohort study.

Settings

ICUs in a tertiary center (the Medical Information Mart for Intensive Care IV database).

Patients

Patients greater than or equal to 18 years old who were mechanically ventilated and extubated after a spontaneous breathing trial.

Interventions

None.

Measurements and main results

Among 1,066 mechanically ventilated patients, 132 patients (12%) experienced extubation failure, defined as reintubation or death within 48 hours of extubation. To predict extubation failure, we developed the following models based on deep learning (EfficientNet) and machine learning (LightGBM) with the training data: 1) model using only the rapid-shallow breathing index (RSBI), 2) model using RSBI and CXR, 3) model using all candidate clinical predictors (i.e., patient demographics, vital signs, laboratory values, and ventilator settings) other than CXR, and 4) model using all candidate clinical predictors with CXR. We compared the predictive abilities between models with the test data to investigate the predictive contribution of CXR. The predictive ability of the model using CXR as well as RSBI was not significantly higher than that of the model using only RSBI (c-statistics, 0.56 vs 0.56; p = 0.95). The predictive ability of the model using clinical predictors with CXR was not significantly higher than that of the model using all clinical predictors other than CXR (c-statistics, 0.71 vs 0.70; p = 0.12). Based on SHapley Additive exPlanations values to interpret the model using all clinical predictors with CXR, CXR was less likely to contribute to the predictive ability than other predictors (e.g., duration of mechanical ventilation, inability to follow commands, and heart rate).

Conclusions

Adding CXR to a set of other clinical predictors in our prediction model did not significantly improve the predictive ability of extubation failure in mechanically ventilated patients.

SUBMITTER: Fukuchi K

PROVIDER: S-EPMC9191311 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature

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Publications

The Contribution of Chest X-Ray to Predict Extubation Failure in Mechanically Ventilated Patients Using Machine Learning-Based Algorithms.

Fukuchi Kiyoyasu K Osawa Itsuki I Satake Shunya S Ito Honoka H Shibata Junichiro J Dohi Eisuke E Kasugai Daisuke D Miyamoto Yoshihisa Y Ohbe Hiroyuki H Tamoto Mitsuhiro M Yamada Naoki N Yoshikawa Keisuke K Goto Tadahiro T

Critical care explorations 20220610 6

<h4>Objectives</h4>To evaluate the contribution of a preextubation chest X-ray (CXR) to identify the risk of extubation failure in mechanically ventilated patients.<h4>Design</h4>Retrospective cohort study.<h4>Settings</h4>ICUs in a tertiary center (the Medical Information Mart for Intensive Care IV database).<h4>Patients</h4>Patients greater than or equal to 18 years old who were mechanically ventilated and extubated after a spontaneous breathing trial.<h4>Interventions</h4>None.<h4>Measurement ...[more]

PMID: 35702351

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Project description:Despite the best efforts of intensive care units (ICUs) professionals, the extubation failure rates in mechanically ventilated patients remain in the range of 5%-30%. Extubation failure is associated with increased risk of death and longer ICU stay. This study aimed to identify respiratory and non-respiratory parameters predictive of extubation outcome, and to use these predictors to develop and validate an "Extubation Predictive Score (ExPreS)" that could be used to predict likelihood of extubation success in patients receiving invasive mechanical ventilation (IMV). Derivation cohort was composed by patients aged ≥18 years admitted to the ICU and receiving IMV through an endotracheal tube for >24 hours. The weaning process followed the established ICU protocol. Clinical signs and ventilator parameters of patients were recorded during IMV, in the end phase of weaning in pressure support ventilation (PSV) mode, with inspiratory pressure of 7 cm H2O over the PEEP (positive end expiratory pressure). Patients who tolerated this ventilation were submitted to spontaneous breathing trial (SBT) with T-tube for 30 minutes. Those who passed the SBT and a subsequent cuff-leak test were extubated. The primary outcome of this study was extubation success at 48 hours. Parameters that showed statistically significant association with extubation outcome were further investigated using the receiver operating characteristics (ROC) analysis to assess their predictive value. The area under the curve (AUC) values were used to select parameters for inclusion in the ExPreS. Univariable logistic regression analysis and ROC analysis were performed to evaluate the performance of ExPreS. Patients' inclusion and statistical analyses for the prospective validation cohort followed the same criteria used for the derivation cohort and the decision to extubate was based on the ExPreS result. In the derivation cohort, a total of 110 patients were extubated: extubation succeeded in 101 (91.8%) patients and failed in 9 (8.2%) patients. Rapid shallow-breathing index (RSBI) in SBT, dynamic lung compliance, duration of IMV, muscle strength, estimated GCS, hematocrit, and serum creatinine were significantly associated with extubation outcome. These parameters, along with another parameter-presence of neurologic comorbidity-were used to create the ExPreS. The AUC value for the ExPreS was 0.875, which was higher than the AUCs of the individual parameters. The total ExPreS can range from 0 to 100. ExPreS ≥59 points indicated high probability of success (OR = 23.07), while ExPreS ≤44 points indicated low probability of success (OR = 0.82). In the prospective validation cohort, 83 patients were extubated: extubation succeeded in 81 (97.6%) patients and failed in 2 (2.4%) patients. The AUC value for the ExPreS in this cohort was 0.971. The multiparameter score that we propose, ExPreS, shows good accuracy to predict extubation outcome in patients receiving IMV in the ICU. In the prospective validation, the use of ExPreS decreased the extubation failure rate from 8.2% to 2.4%, even in a cohort of more severe patients.

Project description:BackgroundPersistent swallowing disorders (SD) are non-pulmonary complications of mechanical ventilation (MV). However, there are few clinical studies on persistent SD in critically ill patients undergoing tracheal intubation for MV. The aim of the present study was to assess the incidence and characteristics of clinical manifestations associated with persistent SD.MethodsWe prospectively evaluated in patients requiring more than 7 days of invasive MV the incidence and characteristics of clinical manifestations related to persistent SD. For this purpose, quality of swallowing was assessed within 24 h after extubation by an experienced physical therapist not directly involved in patient management. Swallowing assessment consisted in a specific standardized test combining a swallowing test and a full clinical evaluation of the cranial nerves involved in swallowing. In patients with SD on the first test, a second test was done within 48 h in order to discriminate between transient and persistent SD.ResultsAmong the 482 patients mechanically ventilated more than 7 days, 138 were enrolled in this study. The first test performed 24 h after extubation revealed SD in 35 patients (25%). According to the second test performed 48 h later, SD were considered transient in 21 (15%) and persistent in 14 (10%) cases. Patients with persistent SD were older (66 ± 16 vs 58 ± 15 years), had lower bodyweight at admission (76 ± 15 vs 87 ± 23 kg) and received less often neuromuscular blocking agents (36% vs 66%) compared to patients without or with only transient SD. Patients with persistent SD had longer duration of Intensive Care Unit (ICU) stay after first extubation and longer delay to oral feeding than patients without or with only transient SD, respectively, 11 ± 9 vs 7 ± 6 days and 23 ± 33 vs 5 ± 7 days.ConclusionsBased on a specific standardized clinical test, 25% of patients mechanically ventilated more than 7 days exhibited clinical manifestations of SD. However, SD were considered as persistent after extubation in only 10% of them. Persistent SD were associated with longer duration of ICU stay after extubation and longer time of enteral feeding.Trial registrationThe study is registered with Clinical Trials (NCT01360580).

Project description:ObjectivesThe impact of extrapulmonary organ dysfunction, independent from sepsis and lung injury severity, on outcomes in pediatric acute respiratory failure is unclear. We sought to determine the frequency, timing, and risk factors for extrapulmonary organ dysfunction and the independent association of multiple organ dysfunction syndrome with outcomes in pediatric acute respiratory failure.DesignSecondary observational analysis of the Randomized Evaluation of Sedation Titration for Respiratory Failure cluster-randomized prospective clinical trial conducted between 2009 and 2013.SettingThirty-one academic PICUs in the United States.PatientsTwo thousand four hundred forty-nine children mechanically ventilated for acute respiratory failure enrolled in Randomized Evaluation of Sedation Titration for Respiratory Failure.Measurements and main resultsOrgan dysfunction was defined using criteria published for pediatric sepsis. Multiple organ dysfunction syndrome was defined as respiratory dysfunction one or more extrapulmonary organ dysfunctions. We used multivariable logistic regression to identify risk factors for multiple organ dysfunction syndrome, and logistic or proportional hazards regression to compare clinical outcomes. All analyses accounted for PICU as a cluster variable. Overall, 73% exhibited extrapulmonary organ dysfunction, including 1,547 (63%) with concurrent multiple organ dysfunction syndrome defined by onset on day 0/1 and 244 (10%) with new multiple organ dysfunction syndrome with onset on day 2 or later. Most patients (93%) with indirect lung injury from sepsis presented with concurrent multiple organ dysfunction syndrome, whereas patients with direct lung injury had both concurrent (56%) and new (12%) multiple organ dysfunction syndrome. Risk factors for concurrent multiple organ dysfunction syndrome included older age, illness severity, sepsis, cancer, and moderate/severe lung injury. Risk factors for new multiple organ dysfunction syndrome were moderate/severe lung injury and neuromuscular blockade. Both concurrent and new multiple organ dysfunction syndrome were associated with 90-day in-hospital mortality (concurrent: adjusted odds ratio, 6.54; 95% CI, 3.00-14.25 and new: adjusted odds ratio, 3.21; 95% CI, 1.48-6.93) after adjusting for sepsis, moderate/severe lung injury, and other baseline characteristics.ConclusionsExtrapulmonary organ dysfunction was common, generally occurred concurrent with respiratory dysfunction (especially in sepsis), and was a major risk factor for mortality in pediatric acute respiratory failure.

Project description:Sonographic assessment of diaphragmatic thickness and excursion has been found to be an accurate tool in predicting successful extubation of adult patients from invasive mechanical ventilation. We aimed to evaluate the accuracy of sonographic assessment of diaphragmatic thickness and excursion in predicting successful extubation of preterm infants from invasive conventional mechanical ventilation. Preterm infants less than 32 weeks gestation who required invasive conventional mechanical ventilation were evaluated by diaphragmatic sonography within 1 h of their planned extubation. Infants were classified into successful or failed extubation groups based on their ability to stay off invasive mechanical ventilation for 72 h after extubation. Inspiratory and expiratory thickness plus excursion of the right and left hemidiaphragm as well as diaphragmatic thickening fraction (DTF) measures were compared between groups. We included 43 eligible infants, of whom 34 infants succeeded and 9 infants failed extubation. Infants in the successful extubation group had a significantly higher expiratory thickness of the right and left hemidiaphragm, excursion of the right and left hemidiaphragm, inspiratory thickness of the left hemidiaphragm, and DTF of the left hemidiaphragm compared with infants who failed extubation. The receiver-operating characteristic curves showed that excursion of the right and left hemidiaphragm has the highest significant accuracy in predicting successful extubation of preterm infants among all diaphragmatic parameters (AUC is 0.98 and 0.96, respectively; p value < 0.001 for both).Conclusion: We conclude that diaphragmatic excursion is a useful indicator for successful extubation of preterm infants from mechanical ventilation. What is Known: • Invasive mechanical ventilation induces ventilator induced diaphragmatic dysfunction (VIDD) particularly when used for long time. • Assessment of diaphragmatic dimensions and functional activity has been a valuable tool in predicting successful extubation of adult patients from invasive mechanical ventilation. What is New: • Sonographic assessment of diaphragmatic dimensions can be used to predict successful extubation of preterm infants from mechanical ventilation. • Sonographic assessment of diaphragmatic excursion shows the highest sensitivity and specificity in predicting successful extubation of preterm infants.

Dataset Information

The Contribution of Chest X-Ray to Predict Extubation Failure in Mechanically Ventilated Patients Using Machine Learning-Based Algorithms.

Objectives

Design

Settings

Patients

Interventions

Measurements and main results

Conclusions

Publications

The Contribution of Chest X-Ray to Predict Extubation Failure in Mechanically Ventilated Patients Using Machine Learning-Based Algorithms.

Similar Datasets

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