Unplanned, Postoperative Intubation in Pediatric Surgical Patients

Advances in pediatric perioperative care using artificial intelligence

PURPOSE OF THIS REVIEW

This article explores how artificial intelligence (AI) can be used to evaluate risks in pediatric perioperative care. It will also describe potential future applications of AI, such as models for airway device selection, controlling anesthetic depth and nociception during surgery, and contributing to the training of pediatric anesthesia providers.

RECENT FINDINGS

The use of AI in healthcare has increased in recent years, largely due to the accessibility of large datasets, such as those gathered from electronic health records. Although there has been less focus on pediatric anesthesia compared to adult anesthesia, research is on- going, especially for applications focused on risk factor identification for adverse perioperative events. Despite these advances, the lack of formal external validation or feasibility testing results in uncertainty surrounding the clinical applicability of these tools.

SUMMARY

The goal of using AI in pediatric anesthesia is to assist clinicians in providing safe and efficient care. Given that children are a vulnerable population, it is crucial to ensure that both clinicians and families have confidence in the clinical tools used to inform medical decision- making. While not yet a reality, the eventual incorporation of AI-based tools holds great potential to contribute to the safe and efficient care of our patients.

Surgical neonates: A retrospective review of procedures and postoperative outcomes at a quaternary children's hospital

INTRODUCTION

Neonates have a high incidence of respiratory and cardiac perioperative events. Disease severity and indications for surgical intervention often dovetail with an overall complex clinical course and predispose these infants to adverse long-term neurodevelopmental outcomes and increased length of stay. Our aims were to describe severe and nonsevere early postoperative complications to establish a baseline of care outcomes and to identify subgroups of surgical neonates and procedures for future prospective studies.

METHODS

Electronic health record data were examined retrospectively for a cohort of patients who had general anesthesia from January 26, 2015 to August 31, 2018. Inclusion criteria were full-term infants with postmenstrual age less than 44 weeks or premature infants less than 60 weeks postmenstrual age undergoing nonimaging, noncardiac surgery. Severe postoperative complications were defined as mortality, reintubation, positive blood culture, and surgical site infection. Nonsevere early postoperative outcomes were defined as hypoglycemia, hyperglycemia, hypothermia, hyperthermia, and readmission within 30 days.

RESULTS

About 2569 procedures were performed in 1842 neonates of which 10.9% were emergency surgeries. There were 120 postoperative severe complications and 965 nonsevere postoperative outcomes. Overall, 30-day mortality was 1.8% for the first procedure performed, with higher mortality seen on subgroup analysis for patients who underwent exploratory laparotomy (10.3%) and congenital lung lesion resection (4.9%). Postoperative areas for improvement included hyperglycemia (13.9%) and hypothermia (7.9%).

DISCUSSION

The mortality rate in our study was comparable to other studies of neonatal surgery despite a high rate of emergency surgery and a high prevalence of prematurity in our cohort. The early outcomes data identified areas for improvement, including prevention of postoperative glucose and temperature derangements.

CONCLUSIONS

Neonates in this cohort were at risk for severe and nonsevere adverse postoperative outcomes. Future studies are suggested to improve mortality and adverse event rates.

Airway management in neonates and infants: European Society of Anaesthesiology and Intensive Care and British Journal of Anaesthesia joint guidelines

Airway management is required during general anaesthesia and is essential for life-threatening conditions such as cardiopulmonary resuscitation. Evidence from recent trials indicates a high incidence of critical events during airway management, especially in neonates or infants. It is important to define the optimal techniques and strategies for airway management in these groups. In this joint European Society of Anaesthesiology and Intensive Care (ESAIC) and British Journal of Anaesthesia (BJA) guideline on airway management in neonates and infants, we present aggregated and evidence-based recommendations to assist clinicians in providing safe and effective medical care. We identified seven main areas of interest for airway management: i) preoperative assessment and preparation; ii) medications; iii) techniques and algorithms; iv) identification and treatment of difficult airways; v) confirmation of tracheal intubation; vi) tracheal extubation, and vii) human factors. Based on these areas, Population, Intervention, Comparison, Outcomes (PICO) questions were derived that guided a structured literature search. GRADE (Grading of Recommendations, Assessment, Development and Evaluation) methodology was used to formulate the recommendations based on those studies included with consideration of their methodological quality (strong '1' or weak '2' recommendation with high 'A', medium 'B' or low 'C' quality of evidence). In summary, we recommend: 1. Use medical history and physical examination to predict difficult airway management (1C). 2. Ensure adequate level of sedation or general anaesthesia during airway management (1B). 3. Administer neuromuscular blocker before tracheal intubation when spontaneous breathing is not necessary (1C). 4. Use a videolaryngoscope with an age-adapted standard blade as first choice for tracheal intubation (1B). 5. Apply apnoeic oxygenation during tracheal intubation in neonates (1B). 6. Consider a supraglottic airway for rescue oxygenation and ventilation when tracheal intubation fails (1B). 7. Limit the number of tracheal intubation attempts (1C). 8. Use a stylet to reinforce and preshape tracheal tubes when hyperangulated videolaryngoscope blades are used and when the larynx is anatomically anterior (1C). 9. Verify intubation is successful with clinical assessment and end-tidal CO2 waveform (1C). 10. Apply high-flow nasal oxygenation, continuous positive airway pressure or nasal intermittent positive pressure ventilation for postextubation respiratory support, when appropriate (1B).

Reducing Unplanned Intubations in the Neonatal Intensive Care Unit After Children's Surgery: A Quality Improvement Project

BACKGROUND

Unplanned intubation following children's surgery is associated with increased postoperative mortality. In response to being a National Surgical Quality Improvement Program - Pediatric (NSQIP-P) high outlier for postoperative unplanned intubation, we aimed to reduce postoperative unplanned intubation events by 25% in one year.

METHODS/INTERVENTION

A multidisciplinary team of stakeholders was assembled in 2018. Most unplanned intubation events occurred in the neonatal intensive care unit (NICU). Based on apparent causes of unplanned intubations identified in case reviews, an extubation readiness checklist and a postoperative pain management guideline emphasizing non-opioid analgesics were implemented for NICU patients in September 2019. Postoperative unplanned intubation events were tracked prospectively and evaluated using quality improvement statistical process control methods.

RESULTS

Unplanned intubations in the NICU decreased from 0.27 to 0.07 events per patient in the post-intervention group (September 2019-June 2022, n = 145) compared to the pre-intervention group (January 2016-August 2019, n = 200), representing a 76% reduction. Postoperative opioid administration decreased significantly, while acetaminophen usage increased significantly over time. Balancing measures of postoperative pneumonia rate (1.5% vs 0.0%, p = 0.267) and median hospital length of stay [40 (IQR 51) days vs 27 (IQR 60), p = 0.124] were not different between cohorts. The 30-day mortality rate for postoperative patients in the NICU significantly declined [6.5% (n = 13) vs 0.7% (n = 1), p < 0.001].

CONCLUSIONS

Postoperative unplanned intubation rates for NICU patients decreased following a quality improvement effort focused on opioid stewardship and extubation readiness.

TYPE OF STUDY

Prospective Quality Improvement.

LEVEL OF EVIDENCE

Level III.

Factors Associated With Unplanned Post-Craniotomy Re-intubation in Children: A NSQIP-Pediatric ® Analysis

OBJECTIVE

Most children undergoing craniotomy with general endotracheal anesthesia are extubated postoperatively, but some require unplanned postoperative intubation (UPI). We sought to determine the incidence of UPI and identify associated factors and related postoperative mortality.

METHODS

The National Surgical Quality Improvement Program for Pediatrics (2012-2018) was used to retrospectively identify patients less than 18 years old who underwent craniotomy for epilepsy, tumor, and congenital/cyst procedures. Perioperative factors associated with UPI were identified with logistic regression models.

RESULTS

We identified 15,292 children, of whom 144 (0.94%) required UPI. Ninety-two (0.60%) children required UPI within the first 3 days after surgery. Postoperative mortality was higher among children with UPI within 3 days than in those with UPI later or not at all (8.0 vs. 2.2 vs. 0.3%, respectively; P <0.001). Posterior fossa procedures trended towards an increased odds of UPI (odds ratio [OR], 1.50; 95% confidence interval [CI] 0.99 to 2.27; P =0.05). Five preoperative factors were independently associated with UPI: age ≤ 12 months (OR, 2.78; 95% CI, 1.29 to 5.98), ASA classification ≥3 (OR, 1.92; 95% CI, 1.12 to 3.29), emergent case status (OR, 2.06; 95% CI, 1.30 to 3.26), neuromuscular disease (OR, 1.87; 95% CI, 1.01 to 3.47), and steroid use within 30 days (OR, 1.79; 95% CI 1.14 to 2.79). Long operative times were independently associated with UPI (200 to 400 vs. <200 min OR, 1.92; 95% CI 1.18 to 3.11 and ≥400 vs. <200 min OR, 4.66; 95% CI 2.70 to 8.03).

CONCLUSION

Although uncommon, UPI in children who underwent craniotomy was associated with an elevated risk of postoperative mortality. The presence of identifiable risk factors may be used for preoperative counseling and risk profiling in these patients.

Airway management in neonates and infants: European Society of Anaesthesiology and Intensive Care and British Journal of Anaesthesia joint guidelines

Airway management is required during general anaesthesia and is essential for life-threatening conditions such as cardiopulmonary resuscitation. Evidence from recent trials indicates a high incidence of critical events during airway management, especially in neonates or infants. It is important to define the optimal techniques and strategies for airway management in these groups. In this joint European Society of Anaesthesiology and Intensive Care (ESAIC) and British Journal of Anaesthesia (BJA) guideline on airway management in neonates and infants, we present aggregated and evidence-based recommendations to assist clinicians in providing safe and effective medical care. We identified seven main areas of interest for airway management: i) preoperative assessment and preparation; ii) medications; iii) techniques and algorithms; iv) identification and treatment of difficult airways; v) confirmation of tracheal intubation; vi) tracheal extubation, and vii) human factors. Based on these areas, Population, Intervention, Comparison, Outcomes (PICO) questions were derived that guided a structured literature search. GRADE (Grading of Recommendations, Assessment, Development and Evaluation) methodology was used to formulate the recommendations based on those studies included with consideration of their methodological quality (strong '1' or weak '2' recommendation with high 'A', medium 'B' or low 'C' quality of evidence). In summary, we recommend: 1. Use medical history and physical examination to predict difficult airway management (1С). 2. Ensure adequate level of sedation or general anaesthesia during airway management (1B). 3. Administer neuromuscular blocker before tracheal intubation when spontaneous breathing is not necessary (1С). 4. Use a videolaryngoscope with an age-adapted standard blade as first choice for tracheal intubation (1B). 5. Apply apnoeic oxygenation during tracheal intubation in neonates (1B). 6. Consider a supraglottic airway for rescue oxygenation and ventilation when tracheal intubation fails (1B). 7. Limit the number of tracheal intubation attempts (1C). 8. Use a stylet to reinforce and preshape tracheal tubes when hyperangulated videolaryngoscope blades are used and when the larynx is anatomically anterior (1C). 9. Verify intubation is successful with clinical assessment and end-tidal CO 2 waveform (1C). 10. Apply high-flow nasal oxygenation, continuous positive airway pressure or nasal intermittent positive pressure ventilation for postextubation respiratory support, when appropriate (1B).

Use of artificial intelligence in paediatric anaesthesia: a systematic review

Objectives

Although the development of artificial intelligence (AI) technologies in medicine has been significant, their application to paediatric anaesthesia is not well characterised. As the paediatric operating room is a data-rich environment that requires critical clinical decision-making, this systematic review aims to characterise the current use of AI in paediatric anaesthesia and to identify barriers to the successful integration of such technologies.

Methods

This review was registered with PROSPERO (CRD42022304610), the international registry for systematic reviews. The search strategy was prepared by a librarian and run in five electronic databases (Embase, Medline, Central, Scopus, and Web of Science). Collected articles were screened by two reviewers. Included studies described the use of AI for paediatric anaesthesia (<18 yr old) within the perioperative setting.

Results

From 3313 records identified in the initial search, 40 were included in this review. Identified applications of AI were described for patient risk factor prediction (24 studies; 60%), anaesthetic depth estimation (2; 5%), anaesthetic medication/technique decision guidance (2; 5%), intubation assistance (1; 2.5%), airway device selection (3; 7.5%), physiological variable monitoring (6; 15%), and operating room scheduling (2; 5%). Multiple domains of AI were discussed including machine learning, computer vision, fuzzy logic, and natural language processing.

Conclusion

There is an emerging literature regarding applications of AI for paediatric anaesthesia, and their clinical integration holds potential for ultimately improving patient outcomes. However, multiple barriers to their clinical integration remain including a lack of high-quality input data, lack of external validation/evaluation, and unclear generalisability to diverse settings.

Systematic review protocol

CRD42022304610 (PROSPERO).

A retrospective analysis of the duration of mechanical ventilation in Scandinavian paediatric heart centres

AIM

Early extubation after cardiac surgery shortens paediatric intensive care unit (PICU) length of stay (LOS) and decreases complications from mechanical ventilation (MV). We explored the duration of MV in Scandinavian paediatric heart centres.

METHODS

We retrospectively reviewed the MV duration and PICU LOS of 696 children operated for atrial septal defect (ASD), ventricular septal defect (VSD), tetralogy of Fallot (TOF) or total cavopulmonary connection (TCPC) in four Scandinavian centres in 2015-2016. Neonates (n = 90) were included regardless of heart surgery type.

RESULTS

Patients with ASD were extubated at a median of 3.25 h (interquartile range [IQR] 2.00-4.83), followed by patients with TCPC (median 5.00 h, IQR 2.60-16.83), VSD (median 7.00 h, IQR 3.69-22.25) and TOF (median 18.08 h, IQR 6.00-41.38). Neonates were not extubated early (median 94.42 h, IQR 45.03-138.14). Although MV durations were reflected in PICU LOS, this was not as apparent among those extubated within 12 h. The Swedish centres had shortest MV durations and PICU LOS. Extubation failed in 24/696 (3.4%) of patients.

CONCLUSION

Scandinavian paediatric heart centres differed in the duration of postoperative MV. Deferring extubation up to 12 h postoperatively did not markedly prolong PICU LOS.

An Overview of Commonly Used Data Sources in Observational Research in Anesthesia

Anesthesia research using existing databases has drastically expanded over the last decade. The most commonly used data sources in multi-institutional observational research are administrative databases and clinical registries. These databases are powerful tools to address research questions that are difficult to answer with smaller samples or single-institution information. Given that observational database research has established itself as valuable field in anesthesiology, we systematically reviewed publications in 3 high-impact North American anesthesia journals in the past 5 years with the goal to characterize its scope. We identified a wide range of data sources used for anesthesia-related research. Research topics ranged widely spanning questions regarding optimal anesthesia type and analgesic protocols to outcomes and cost of care both on a national and a local level. Researchers should choose their data sources based on various factors such as the population encompassed by the database, ability of the data to adequately address the research question, budget, acceptable limitations, available data analytics resources, and pipeline of follow-up studies.

Unplanned Postoperative Reintubation in Children with Bronchial Asthma

Unplanned postoperative reintubation is a serious complication that may increase postsurgical hospital length of stay and mortality. Although asthma is a risk factor for perioperative adverse respiratory events, its association with unplanned postoperative reintubation in children has not been comprehensively examined. Our aim was to determine the association between a preoperative comorbid asthma diagnosis and the incidence of unplanned postoperative reintubation in children. This was a retrospective cohort study comprising of 194,470 children who underwent inpatient surgery at institutions participating in the National Surgical Quality Improvement Program–Pediatric. The primary outcome was the association of preoperative asthma diagnosis with early, unplanned postoperative reintubation (within the first 72 hours following surgery). We also evaluated the association between bronchial asthma and prolonged hospital length of stay (longer than the 75th percentile for the cohort). The incidence of unplanned postoperative reintubation in the study cohort was 0.5% in patients with a history of asthma compared with 0.2% in patients without the diagnosis (odds ratio [OR]: 2.23, 95% confidence interval [CI]: 1.71–2.89). This association remained significant after controlling for several clinical characteristics (OR: 1.54, 95% CI: 1.17–2.20). Additionally, asthmatic children were more likely to require a hospital length of stay longer than the 75th percentile for the study cohort (adjusted OR: 1.05, 95% CI: 1.01–1.10). Children with preoperative comorbid asthma diagnosis have an increased incidence of early, unplanned postoperative reintubation and prolonged postoperative hospitalization following inpatient surgery. By identifying these patients as having higher perioperative risks, it may be possible to institute strategies to improve their outcomes.

A Predictive Model for Pediatric Postoperative Respiratory Failure: A National Inpatient Sample Study

STUDY OBJECTIVE

To identify risk factors for pediatric postoperative respiratory failure and develop a predictive model.

DESIGN

This retrospective case-control study utilized the US National Inpatient Sample (NIS) from 2012 to 2014. Significant predictors were selected, and the predicted probability of pediatric postoperative respiratory failure was calculated. Sensitivity, specificity, and accuracy were then calculated, and receiver-operator curves were drawn.

SETTING

National Inpatient Sample data sets from years 2012, 2013, and 2014 were used.

PATIENTS

Patients aged 17 and younger in the 2012, 2013, and 2014 NIS data sets.

INTERVENTIONS

Candidate predictors included demographic variables, type of surgical procedure, a modified pediatric comorbidity score, presence of substance abuse diagnosis, and presence/absence of kyphoscoliosis.

MEASUREMENTS

The primary outcome measure was the pediatric quality indicator (PDI 09), which is defined by the Agency for Healthcare Research Quality, and identifies pediatric patients with postoperative respiratory failure.

MAIN RESULTS

The incidence of pediatric postoperative respiratory failure in each year's data set varied from 1.31% in 2012 to 1.41% in 2014. Significant risk factors for the development of postoperative respiratory failure included abdominal surgery ([OR] = 1.92 in 2012 data set, 1.79 in 2013 data set), spine surgery (OR = 7.10 in 2012 data set, 6.41 in 2013 data set), and an elevated pediatric comorbidity score (score of 3 or greater: OR = 32.58 in 2012 data set, 22.74 in 2013 data set). A predictive model utilizing these risk factors achieved a C statistic of 0.82.

CONCLUSIONS

Risk factors associated with postoperative respiratory failure in pediatric patients undergoing noncardiac surgery include type of surgery (abdominal and spine) and higher pediatric comorbidity scores. A prediction model based on the identified factors had good predictive ability.

A Multivariable Model Predictive of Unplanned Postoperative Intubation in Infant Surgical Patients

BACKGROUND

Unplanned postoperative intubation is an important quality indicator, and is associated with significantly increased mortality in children. Infant patients are more likely than older pediatric patients to experience unplanned postoperative intubation, yet the literature provides few characterizations of this outcome in our youngest patients. The objective of this study was to identify risk factors for unplanned postoperative intubation and to develop a scoring system to predict this complication in infants undergoing major surgical procedures.

METHODS

In this retrospective cohort study, The National Surgical Quality Improvement Program-Pediatric database was surveyed for all infants who underwent noncardiac surgery between January 1, 2012 and December 31, 2015 (derivation cohort, n = 56,962) and between January 1 and December 31, 2016 (validation cohort, n = 20,559). Demographic and perioperative clinical characteristics were examined in association with our primary outcome of unplanned postoperative intubation within 30 days of surgery. Risk factors were analyzed in the derivation cohort (2012-2015 data) using multivariable logistic regression with stepwise selection. Parameters from the final model were used to create a scoring system for predicting unplanned postoperative intubation. Data from the validation cohort were utilized to assess the performance of the scoring system using the area under the receiver operating characteristic curve.

RESULTS

In the derivation cohort, 2.2% of the infants experienced unplanned postoperative intubation within 30 days of surgery. Of the 14 risk factors identified in multivariable analysis, 10 (age, prematurity, American Society of Anesthesiologists physical status, inpatient status, operative time >120 minutes, cardiac disease, malignancy, hematologic disorder, oxygen supplementation, and nutritional support) were included in the final multivariable logistic regression model to create the risk score. The area under the receiver operating characteristic curve of the final model was 0.86 (95% CI, 0.85-0.87) for the derivation cohort and 0.83 (95% CI, 0.82-0.85) for the validation cohort.

CONCLUSIONS

About 1 in 50 infants undergoing major surgical procedures experiences unplanned postoperative intubation. Our scoring system based on routinely collected perioperative assessment data can predict risk in infants with good accuracy. Further investigation should assess the clinical utility of the scoring system for risk stratification and improvement in perioperative care quality and patient outcomes.

Characterizing the spectrum of body mass index associated with severe postoperative pulmonary complications in children

PURPOSE

While high body mass index (BMI) is a recognized risk factor for pulmonary complications in adults, its importance as a risk factor for complications following pediatric surgery is poorly described. We evaluated the association between BMI and severe pediatric perioperative pulmonary complications (PPCs).

METHODS

In this retrospective cohort study, we evaluated pediatric patients (aged 2-17 years) undergoing elective procedures in the 2015 Pediatric National Surgical Quality Improvement Program (NSQIP-P). Severe PPCs were defined as either pneumonia/reintubation within 3 days of surgery, or pneumonia/reintubation as an index complication within 7 days. Univariate and multivariable logistic regression analyses adjusting for patient factors and surgical case-mix tested associations between BMI class-using the Centers for Disease Control age- and sex-dependent BMI percentiles-and severe PPCs.

RESULTS

Among 40,949 patients, BMI class was distributed as follows: 2740 (6.7%) were underweight, 23,630 (57.7%) normal weight, 6161 (15.0%) overweight, and 8418 (20.6%) obese. Overweight BMI class was not associated with PPCs in univariate analyses, but became statistically significant after adjustment [OR 1.84 (95% CI 1.07-3.15), p = 0.03], and persisted across multiple adjustment approaches. Neither underweight [OR 1.01 (95% CI 0.53-1.94), p = 0.97] nor obesity [OR 1.10 (95% CI 0.63-1.94), p = 0.73] were associated with PPCs after adjustment.

CONCLUSION

Overweight pediatric patients have an elevated, previously underappreciated risk of severe PPCs. Contrary to prior studies, the present study found no greater risk in obese children, perhaps due to bias, confounding, or practice migration from "availability bias". Findings from the present study, taken with prior work describing pulmonary risks of obesity, suggest that both obese and overweight children may be evaluated for tailored perioperative care to improve outcomes.

Unstructured Text in EMR Improves Prediction of Death after Surgery in Children

Text fields in electronic medical records (EMR) contain information on important factors that influence health outcomes, however, they are underutilized in clinical decision making due to their unstructured nature. We analyzed 6497 inpatient surgical cases with 719,308 free text notes from Le Bonheur Children’s Hospital EMR. We used a text mining approach on preoperative notes to obtain a text-based risk score to predict death within 30 days of surgery. In addition, we evaluated the performance of a hybrid model that included the text-based risk score along with structured data pertaining to clinical risk factors. The C-statistic of a logistic regression model with five-fold cross-validation significantly improved from 0.76 to 0.92 when text-based risk scores were included in addition to structured data. We conclude that preoperative free text notes in EMR include significant information that can predict adverse surgery outcomes.

Pediatric patients receiving naloxone within 48 h of anesthesia: a case-control study

PURPOSE

Excessive narcotization in pediatric surgical patients has not been well characterized. This report describes the use of postoperative naloxone in pediatric patients.

METHODS

Pediatric surgical patients from January 1, 2010, through June 30, 2016, who underwent general anesthesia and received naloxone within 48 h postoperatively were identified and matched 1:1 with controls by age, sex, and procedure. Cases and controls underwent retrospective chart review.

RESULTS

Forty-seven patients received naloxone, with a rate of 2.0 (95% CI 1.5-2.7) per 1000 anesthetics. Indications were respiratory depression (n = 19), facilitating extubation (n = 15), and reversing sedation (n = 13), and 44 cases received naloxone in a monitored environment. The median (interquartile range) naloxone dose was 4.0 (2.0-23.5) mcg/kg, and five patients (11%) later required subsequent naloxone treatments. Their characteristics were similar to controls, including opioid medications, except cases that had signs of respiratory depression before naloxone administration. The outcomes were similar, although more cases were admitted to the intensive care unit before naloxone administration. One patient died 13 days postoperatively of unrelated causes.

CONCLUSION

Postoperative naloxone administration in pediatric patients is rare. The observation that most administrations occurred in a monitored setting implies that at-risk patients had been appropriately identified and kept under closer surveillance.