Ventilation Weaning and Extubation Readiness in Children in Pediatric Intensive Care Unit: A Review

Evaluation of the combined predictive value of multiple indicators based on diaphragmatic ultrasound using logistic regression and ROC curve in weaning from mechanical ventilation in pediatric patients

Background

Conventional single indicators have low sensitivity and specificity for predicting weaning from mechanical ventilation in pediatric patients, necessitating the establishment of a combined prediction model for predicting weaning outcomes.

Objectives

To explore the combined predictive value of PaO2/FiO2 Ratio (P/F ratio), diaphragm excursion-rapid shallow breathing index (DE-RSBI), diaphragm thickening fraction-rapid shallow breathing index (DTF-RSBI), and Pediatric Critical Illness Score (PCIS) in weaning from mechanical ventilation in pediatric patients.

Methods

Sixty critically ill pneumonia pediatric patients requiring mechanical ventilation treatment from July 2022 to June 2023 at the Second Affiliated Hospital of Jiaxing University were selected. They all underwent a spontaneous breathing trial (SBT) and were divided into the weaning success group (42 cases) and weaning failure group (18 cases) based on the weaning outcome. Parameters including total duration of illness, mechanical ventilation duration, heart rate (HR), P/F ratio, diaphragm excursion (DE), DE-RSBI, diaphragm thickening fraction (DTF), DTF-RSBI, and PCIS were included in univariate and multivariate logistic regression analyses to determine independent factors affecting pediatric weaning success. Receiver operating characteristic (ROC) curves were plotted to evaluate the predictive value of P/F ratio, DE-RSBI, DTF-RSBI, PCIS alone or in combination for weaning success.

Results

Comparing P/F ratio, DE, DE-RSBI, DTF, DTF-RSBI and PCIS, there were statistically significant differences (P < 0.05). Through collinearity analysis and binary logistic regression analysis,P/F ratio [OR = 0.777, 95% CI (0.641,0.941)], DE-RSBI [OR = 1.694, 95% CI (1.172, 2.447)], DTF-RSBI [OR = 1.057, 95% CI (1.002, 1.114)], and PCIS [OR = 0.661, 95% CI (0.445, 0.982)] were identified as independent factors affecting successful weaning(P < 0.05).The regression equation was: LogitP = 73.299-0.253 P/F ratio + 0.525DE-RSBI + 0.055DTF-RSBI-0.43PCIS.The sensitivity of the combined indicator Logit(P) in predicting successful weaning from mechanical ventilation in pediatric patients was 88.9%, with a specificity of 95.2% (optimal cutoff value of 0.511), and the area under the ROC curve (AUC) was 0.960 [95% CI (0.915, 1.000)]. The AUC of the combined prediction model for predicting pediatric weaning was greater than that of P/F ratio, DE-RSBI, DTF-RSBI and PCIS alone (Z values = 9.129, 2.061, 2.075, 8.326, P < 0.05).

Conclusions

In mechanically ventilated pediatric patients, the combined prediction model has better predictive value for weaning success compared to using P/F ratio, DE-RSBI, DTF-RSBI, or PCIS alone.

Predictors and outcomes of extubation failures in a pediatric intensive care unit: A retrospective study

Objectives

This study was aimed at determining the extubation failure (EF) rate in a pediatric intensive care unit (PICU), and assessing the etiology, associated risk factors, and outcomes.

Methods

We conducted a retrospective study on 335 pediatric patients admitted to King Abdulaziz University Hospital between 2018 and 2020, ranging in age from 1 month to 14 years, who required invasive mechanical ventilation (MV) for >24 h. Extubation readiness was determined by the attending pediatric intensive care physician, according to the patients' clinical status and extubation readiness criteria.

Results

In the cohort of 335 patients, 42 experienced issues during extubation (failure rate, 12.5%). Cardiovascular disease (42.9%) was the main primary admission condition in patients with EF. Younger age (median, interquartile range [IQR]: 4, 1.38-36 months) was strongly associated with EF compared with successful extubation (median, IQR: 12, 2-48; p = 0.036), and with a high predicted mortality rate (10.9%; p < 0.001) and Pediatric Risk of Mortality III (PRISM) score (13; p < 0.001). Furthermore, prolonged ICU stay (25.5 days; p < 0.001) and longer MV requirements (4 days; p < 0.001) before extubation in patients with EF were associated with a high mortality rate (∼12%; p < 0.001). Interestingly, dexamethasone administration before extubation significantly alleviated EF risk (28.3%; p < 0.001).

Conclusion

A higher EF rate in younger patients may potentially be associated with longer ICU stays, prolonged MV requirements before extubation, and the primary diagnostic condition. Dexamethasone effectively alleviated EF incidence. Further research with a rigorous evidence-based study design is necessary to substantiate the factors identified as predictors of EF and to develop strategies to avoid EF.

Fitness checklist model for spontaneous breathing tests in pediatrics

OBJECTIVE

To evaluate whether a model of a daily fitness checklist for spontaneous breathing tests is able to identify predictive variables of extubation failure in pediatric patients admitted to a Brazilian intensive care unit.

METHODS

This was a single-center, cross-sectional study with prospective data collection. The checklist model comprised 20 items and was applied to assess the ability to perform spontaneous breathing tests.

RESULTS

The sample consisted of 126 pediatric patients (85 males (67.5%)) on invasive mechanical ventilation, for whom 1,217 daily assessments were applied at the bedside. The weighted total score of the prediction model showed the highest discriminatory power for the spontaneous breathing test, with sensitivity and specificity indices for fitness failure of 89.7% or success of 84.6%. The cutoff point suggested by the checklist was 8, with a probability of extubation failure less than 5%. Failure increased progressively with increasing score, with a maximum probability of predicting extubation failure of 85%.

CONCLUSION

The extubation failure rate with the use of this model was within what is acceptable in the literature. The daily checklist model for the spontaneous breathing test was able to identify predictive variables of failure in the extubation process in pediatric patients.

Predictive parameters and model for extubation outcome in pediatric patients

Background

Prolonged mechanical ventilation is associated with significant morbidity in critically ill pediatric patients. In addition, extubation failure and deteriorating respiratory status after extubation contribute to increased morbidity. Well-prepared weaning procedures and accurate identification of at-risk patients using multimodal ventilator parameters are warranted to improve patient outcomes. This study aimed to identify and assess the diagnostic accuracy of single parameters and to develop a model that can help predict extubation outcomes.

Materials and methods

This prospective observational study was conducted at a university hospital between January 2021 and April 2022. Patients aged 1 month to 15 years who were intubated for more than 12 h and deemed clinically ready for extubation were enrolled. A weaning process with a spontaneous breathing trial (SBT), with or without minimal setting, was employed. The ventilator and patient parameters during the weaning period at 0, 30, and 120 min and right before extubation were recorded and analyzed.

Results

A total of 188 eligible patients were extubated during the study. Of them, 45 (23.9%) patients required respiratory support escalation within 48 h. Of 45, 13 (6.9%) were reintubated. The predictors of respiratory support escalation consisted of a nonminimal-setting SBT [odds ratio (OR) 2.2 (1.1, 4.6), P = 0.03], >3 ventilator days [OR 2.4 (1.2, 4.9), P = 0.02], occlusion pressure (P0.1) at 30 min ≥0.9 cmH₂O [OR 2.3 (1.1, 4.9), P = 0.03], and exhaled tidal volume per kg at 120 min ≤8 ml/kg [OR 2.2 (1.1, 4.6), P = 0.03]; all of these predictors had an area under the curve (AUC) of 0.72. A predictive scoring system to determine the probability of respiratory support escalation was developed using a nomogram.

Conclusion

The proposed predictive model, which integrated both patient and ventilator parameters, showed a modest performance level (AUC 0.72); however, it could facilitate the process of patient care.

Ventilator weaning and extubation practices in critically ill children: An Australian and New Zealand survey of practice

OBJECTIVES

We aimed to (i) describe current weaning and extubation practices in children (protocols to identify weaning candidates, spontaneous breathing trials, and other aspects of care such as sedation weaning) and (ii) understand responsibilities for ventilation weaning decisions across Australia and New Zealand (ANZ).

METHODS

A cross-sectional survey of ANZ intensive care units who routinely intubate and ventilate children (<18 years) was conducted. We worked with the Australian and New Zealand Intensive Care Society Paediatric Study Group to identify units and potential respondents (senior nurse representative per unit) and to administer questionnaires. Survey questions (n = 35) examined current protocols, practices, unit staffing, and decision-making responsibilities for ventilation weaning and extubation. Open-ended questions examined respondents' experiences of weaning and extubation.

RESULTS

A senior nursing respondent from 18/22 intensive care units (82%) completed the survey. Across units, most used sedation assessment tools (88%), and less often, sedation weaning tools (55%). Spontaneous awakening protocols were not used; one unit (5%) reported the use of a spontaneous breathing protocol. Two respondents reported that ventilation weaning protocols (11%) were in use, with 44% of units reporting the use of extubation protocols. Weaning and extubation practices were largely perceived as medically driven, with qualitative data demonstrating a desire from most respondents for greater shared decision-making.

CONCLUSION

In ANZ, ventilation weaning and extubation practices are largely medically driven with variation in the use of protocols to support mechanical ventilation weaning and extubation in children. Our findings highlight the importance of future research to determine the impact of greater collaboration of the multidisciplinary team on weaning practices.