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

Development and validation of a score for prediction of postoperative respiratory complications in infants and children (SPORC-C)

BACKGROUND

In infants and children, postoperative respiratory complications are leading causes of perioperative morbidity, mortality, and increased healthcare utilisation. We aimed to develop a novel score for prediction of postoperative respiratory complications in paediatric patients (SPORC for children).

METHODS

We analysed data from paediatric patients (≤12 yr) undergoing surgery in New York and Boston, USA for score development and external validation. The primary outcome was postoperative respiratory complications within 30 days after surgery, defined as respiratory infection, respiratory failure, aspiration pneumonitis, pneumothorax, pleural effusion, bronchospasm, laryngospasm, and reintubation. Data from Children's Hospital at Montefiore were used to create the score by stepwise backwards elimination using multivariate logistic regression. External validation was conducted using a separate cohort of children who underwent surgery at Massachusetts General Hospital for Children.

RESULTS

The study included data from children undergoing 32,187‬ surgical procedures, where 768 (2.4%) children experienced postoperative respiratory complications. The final score consisted of 11 predictors, and showed discriminatory ability in development, internal, and external validation cohorts with areas under the receiver operating characteristic curve of 0.85 (95% confidence interval: 0.83-0.87), 0.84 (0.80-0.87), and 0.83 (0.80-0.86), respectively.

CONCLUSION

SPORC is a novel validated score for predicting the likelihood of postoperative respiratory complications in children that can be used to predict postoperative respiratory complications in infants and children.

Artificial intelligence in pediatric airway - A scoping review

Artificial intelligence is an ever-growing modality revolutionizing the field of medical science. It utilizes various computational models and algorithms and helps out in different sectors of healthcare. Here, in this scoping review, we are trying to evaluate the use of Artificial intelligence (AI) in the field of pediatric anesthesia, specifically in the more challenging domain, the pediatric airway. Different components within the domain of AI include machine learning, neural networks, deep learning, robotics, and computer vision. Electronic databases like Google Scholar, Cochrane databases, and Pubmed were searched. Different studies had heterogeneity of age groups, so all studies with children under 18 years of age were included and assessed. The use of AI was reviewed in the preoperative, intraoperative, and postoperative domains of pediatric anesthesia. The applicability of AI needs to be supplemented by clinical judgment for the final anticipation in various fields of medicine.

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.

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).

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.

Development of a preoperative risk score predicting allogeneic red blood cell transfusion in children undergoing spinal fusion

BACKGROUND

Children undergoing spinal fusion often receive blood products. The goal of this study was to develop a preoperative score to help physicians identify those who are at risk of allogeneic red blood cell (RBC) transfusion.

STUDY DESIGN AND METHODS

This retrospective study of children undergoing spinal fusion in the ACS-NSQIP Pediatric database (2016-2019) aimed at identifying risk factors associated with allogeneic RBC transfusion. Univariable logistic regression and multivariable logistic regression were performed using preoperative patient characteristics and aided in the creation of a simplified scoring system.

RESULTS

Out of 13,929 total patients, 2990 (21.5%) were transfused. We created a risk score based on 10 independent predictors of transfusion: age, sex, race, weight < 3rd percentile, American Society of Anesthesiologists physical status classification, cardiac risk factors, hematologic disease, preoperative anemia, deformity type, and number of spinal levels to be fused. Patients in both the training and testing cohorts were assigned a score ranging from 0 (lowest risk) to 21 (highest risk). The developed transfusion risk score showed 77% accuracy in distinguishing patients who did not receive a transfusion during or soon after surgery (AUROC 0.7736 [95% CI, 0.7619-0.7852]) in the training cohort and 77% accuracy (AUROC 0.7732 [95% CI, 0.7554-0.7910]) in the testing cohort.

DISCUSSION

Our score, based on routinely available preoperative data, accurately estimates the risk of allogeneic RBC transfusion in pediatric patients undergoing spinal fusion. Future studies will inform whether patient blood management interventions targeted to high-risk patients can help reduce the need for transfusion and improve outcomes.

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.

Risk factors and associated complications with unplanned intubation in patients with craniotomy for brain tumor

Patients undergoing surgical resection of a brain tumor have the potential risk for beingintubated post-operatively, which may be associated with significant morbidity and/or mortality after surgery. This study was analyzed various preoperative patient characteristics, postoperative outcomes, and complications to identify risk factors for unplanned intubation (UI) in adult patients undergoing craniotomy for a brain tumor and created a risk score framework for that cohort. Patients undergoing surgery for a brain tumor were identified according to primary Current Procedural Terminology codes, and information found in The American College of Surgeons (ACS) National Surgical Quality Improvement Project (NSQIP) database from 2012 to 2015 was reviewed. A total of 18,642 adult brain tumor patients were included in the ACS-NSQIP. The rate of unplanned intubation in this cohort was 2.30% (4 2 8). The mortality rate of patients who underwent UI after surgical resection of brain tumor was 24.78% compared to an overall mortality of 2.46%. During the first 30 days after surgery, 33% of patients who underwent UI had an unplanned reoperation, compared to 4.76% of patients who did not undergo unplanned intubation. Bivariate and multivariate analyses identified several predictors and computed a risk score for UI. A risk score based on patient factors for those undergoing a craniotomy for a brain tumor predicts the postoperative UI rate. This could aid in surgical decision-making by identify patients at a higher risk of UI, while modifying perioperative management may help prevent UI.