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. 2025 Jul 7;143(4):835–850. doi: 10.1097/ALN.0000000000005646

Adverse Events Associated with Airway Management in Pediatric Anesthesia: A Prospective, Multicenter, Observational Japan Pediatric Difficult Airway in Anesthesia (J-PEDIA) Study

Taiki Kojima 1,, Yusuke Yamauchi 2, Fumio Watanabe 3, Shogo Ichiyanagi 4, Yasuma Kobayashi 5, Yu Kaiho 6, Hiroaki Toyama 7, Shugo Kasuya 8, Norifumi Kuratani 9, Yasuyuki Suzuki 10; J-PEDIA study investigators
PMCID: PMC12416892  PMID: 40622860

Abstract

Background:

The incidence of adverse events and desaturation during airway-securing procedures (a sequence from preoxygenation to completion of tracheal intubation or supraglottic airway placement) under general anesthesia in children remains underexplored. Thus, this study investigated the incidence of adverse and desaturation events and associated risk factors.

Methods:

This was a prospective, multicenter, observational study conducted between June 2022 and January 2024 in 10 tertiary care (6 pediatric and 4 university [mixed adult–pediatric]) hospitals in Japan. A standardized data collection system was applied through the recruited institutions to collect 95% or more of cases. The primary and secondary outcomes were adverse events and a 10% or greater drop in oxygen saturation (desaturation) associated with airway-securing procedures.

Results:

There were 17,007 airway management procedures in 16,695 children (mean ± SD age, 6.3 ± 4.8 yr). Any adverse events occurred in 346 of 17,007 (2.0%; 95% CI, 1.8 to 2.3) children, including 189 of 17,007 (1.1%; 0.96 to 1.3) respiratory adverse events. Desaturation occurred during 395 of 17,007 (2.3%; 2.1 to 2.6) procedures, with 66 of 308 (21.4%; 17.0 to 26.4) in neonates and 210 of 2,298 (9.1%; 8.0 to 10.4) in infants. Multilevel regression analysis showed younger age (adjusted odds ratio, 0.92; 95% CI, 0.90 to 0.95; P < 0.001), airway management in radiation diagnostic/therapy rooms (5.7, 1.64 to 19.9; P = 0.006), airway sensitivity (1.46, 1.09 to 1.94; P = 0.010), craniocervical surgery (1.41, 1.09 to 1.83; P = 0.009), and presence of one anatomical difficult airway feature (1.74, 1.02 to 2.95; P = 0.042) versus two or more anatomic difficult airway features (2.82, 1.21 to 6.6; P = 0.017) as risk factors of any adverse events. Supraglottic airway device usage at the first attempt (0.42, 0.288 to 0.62; P < 0.001) and muscle relaxant administration (0.62, 0.43 to 0.89; P = 0.009) showed beneficial effects.

Conclusion

s: The Japan Pediatric Difficult Airway in Anesthesia (J-PEDIA) study demonstrated adverse event and desaturation incidences and the impact of clinically relevant risk factors during airway-securing procedures in Asian children. This study can help anesthesiologists to identify high-risk children and create a safe airway-securing strategy.


In a Japanese prospective, multicenter, observational study involving 17,007 airway management procedures in children, the adverse airway event rate was 1.1%. Adverse events were more likely in younger children, procedures in radiation diagnostic/therapeutic rooms, children with airway sensitivity, craniocervical surgery, and children with anatomic features of a difficult airway. Adverse events were less likely when a supraglottic device or muscle relaxation was used.


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Editor’s Perspective

What We Already Know about This Topic

  • Failure to secure the airway is a common cause of critical adverse events in children

  • Recognizing risk factors for adverse events when securing the airway may promote safe anesthesia in children

What This Article Tells Us That Is New

  • In a Japanese prospective, multicenter, observational study involving 17,007 airway management procedures in children, the adverse airway event rate was 1.1%

  • Adverse events were more likely in younger children, procedures in radiation diagnostic/therapeutic rooms, children with airway sensitivity, craniocervical surgery, and children with anatomic features of a difficult airway

  • Adverse events were less likely when a supraglottic device or muscle relaxation was used

Perioperative life-threatening adverse events occur more frequently in children than in adults based on their unique anatomic and physiologic characteristics.1 Failure to secure the airway is still a common cause of critical adverse events in children due to intolerance to apnea.14 Therefore, recognition of the risk factors of adverse events while securing the airway is essential to promote safe anesthesia in children.

Previous pediatric studies based on real-world data have reported the incidence and risk factors of adverse events during the perianesthesia period. The Anesthesia Practice In Children Observational Trial (APRICOT) study in Europe showed the epidemiologic data of adverse events throughout the perianesthesia period in children.5 However, the APRICOT study was not designed for collecting data specifically related to airway management (e.g., discipline of providers, devices for securing the airway, medications during airway management). The Pediatric Difficult Intubation (PeDI) registry study in the United States reported the incidence of adverse events during airway management under general anesthesia in children.2 However, the PeDI study cohort was composed of children with difficult airways that do not represent the entire pediatric population.6 In addition, this limited study population may restrict the estimation of risks for adverse events attributed to airway management.

Previous studies reported the different craniofacial and oropharyngeal anatomical features and anesthetic sensitivity between Asian and Caucasian persons.710 The occurrence of adverse events and the risks during airway management in Asian persons can be different from those in previous studies in Europe and the United States. However, there is a lack of pediatric multicenter, real-world studies based on prospectively collected data in the Asian regions regarding the adverse events and risk factors associated with airway management during general anesthesia.

This study aimed to describe the current airway management practice in children and the incidence of adverse events associated with airway management during general anesthesia. This study also explored potential risk factors of clinical relevance for adverse events and desaturation during a sequence of airway-securing procedures in children under general anesthesia.

Materials and Methods

Study Design and Participants

This is a prospective, multicenter, observational study conducted between June 2022 and January 2024 in 10 tertiary care hospitals (6 pediatric and 4 university [mixed adult–pediatric] hospitals) in Japan. The local institutional review board, Aichi Children’s Health and Medical Center’s review board, approved the study protocol (approval No. 2021051, September 29, 2021). All participating institutions obtained ethical approval from their local institutional ethical committees. An opt-out procedure was applied to obtain consent for using anonymized data in this study. This study was registered in the University Hospital Medical Information Network (registration No. UMIN00047351; April 1, 2022; principal investigator: Taiki Kojima). We adhered to the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement.11 The study protocol, including the research term definitions and the data analysis plan, had been published as a study protocol article before initiating the data collection.12

This study recruited children aged less than 18 yr who received advanced airway management at least once under general anesthesia or sedation, with or without regional anesthesia, for scheduled or emergency surgeries and tests in operating suites, catheterization laboratory rooms, radiological imaging and procedure rooms, or general wards conducted by anesthesiologists or supervised anesthesia providers. An airway-securing procedure was defined as a sequence from preoxygenation to completion of tracheal intubation or supraglottic airway device (SGD) placement. Advanced airway management was defined as placing a tracheal tube or SGD or securing a surgical airway by applying techniques that include direct or video laryngoscopy, fiberoptic intubation, ridged bronchoscopy, cricothyroidotomy, tracheostomy, or a combination of these. Children were excluded if airway management was performed outside operating suites where anesthesiologists were consulted, in emergency rooms or intensive care units, if they were previously enrolled in this study, or if they or their families opted out of participation.

Data Collection

We prospectively collected data on patient comorbidities, surgery types, anesthesia provider training levels, devices (e.g., video laryngoscope, flexible bronchoscope), equipment (e.g., tracheal tube, SGD), medications used during airway management, number of attempts to place airway securing equipment, occurrence and types of adverse events, treatments for adverse events, and oxygen saturation measured by pulse oximetry (Spo2) at the start and lowest Spo2 during airway management.12 Data regarding airway management practices included reasons for initiating airway management, administered medications, airway securing routes, types and sizes of tracheal tube/SGD, presence of cricoid pressure/external laryngeal manipulation, and glottic opening scores.12

Definitions

For data collection, we defined “encounter” and “attempt” regarding airway management. “Encounter” referred to one sequence of airway management procedures, including preoxygenation, jaw thrust, face mask attachment, and positive pressure ventilation, until the assigned anesthesia providers ensured the child’s respiratory and hemodynamic stability upon airway-securing device placement. “Attempt” was defined as one trial to place a tracheal tube or SGD, starting with the insertion of airway-securing devices (e.g., laryngoscope, bronchoscope) until its removal from the child’s airway (i.e., mouth, nose, and tracheal stoma). Therefore, one encounter can include multiple airway-securing attempts. Other definitions of research terms are provided in Supplemental Digital Content 1 (https://links.lww.com/ALN/E119).13,14 The encounters and attempts were recorded when anesthesia providers initiated airway-securing procedures at any point during the perianesthesia period, including data regarding anesthesia induction, intraoperative period, anesthesia emergence, and recovery period at postanesthesia care units.

Outcomes

The primary outcome was the occurrence of adverse events associated with airway management during general anesthesia. Adverse events were reported if they occurred during the encounters (from preoxygenation/mask ventilation to the completion of airway-securing device placement with stable respiratory and hemodynamic conditions of the patient). “Any adverse events” included at least one hemodynamic and airway-related complication, such as cardiac arrest, upper airway obstruction, laryngospasm, severe cough lasting 10 s or longer, bronchial intubation, esophageal intubation, vomiting with aspiration, hypotension, hypertension, tooth injury, pneumothorax, mediastinal emphysema, bronchospasm (asthma exacerbation), atelectasis, pulmonary edema, stridor, airway trauma, arrhythmia, and airway securing device dislodgement.12 Respiratory adverse events included upper airway obstruction, laryngospasm, severe cough lasting 10 s or longer, esophageal intubation with desaturation, vomiting with aspiration, pneumothorax, mediastinal emphysema, bronchospasm (asthma exacerbation), atelectasis, pulmonary edema, stridor, and airway trauma. These adverse events and their severity were defined based on NEAR4KIDS, a national registry for quality improvement during emergency tracheal intubation in pediatric intensive care units primarily located in North America.13

The secondary outcome was desaturation, defined as a Spo2 drop of 10% or more between the initiation of airway management and the lowest value during the procedure. There is no consensus regarding the validated Spo2 cutoff for clinical research. We defined the secondary outcome through discussions among board-certified pediatric anesthesiologists in specialized centers, using the PeDI study criteria.15 We focused on Spo2 drop rather than the single lowest values, as our data included patients with congenital cardiac diseases with reduced baseline SpO2.

Quality Control of Data Collection

We recruited site-specific research leaders to ensure data collection quality. They conducted standardized data verification processes to minimize reporting bias and missing data. Before initiating local data collection, these readers educated anesthesia providers on research term definitions based on a research-operational manual. They reviewed paper-based forms daily for missing cases and information. For missing data, they collected the necessary information from case-assigned anesthesia providers and reviewed medical records. Our goal was to achieve a capture rate of 95% or higher across all institutions before initiating data collection. This data-verification process was standardized among all sites.

Site-specific research leaders used Slack (Slack Technologies, USA) to communicate uncertainties regarding data collection (e.g., research-term definitions). The collected paper form–based data was anonymized and registered in the Research Electronic Data Capture (REDCap, Japan) system hosted at the National Center for Child Health and Development. REDCap is a secure, web-based platform designed to support data capture for research studies.16

Sample Size Estimation

A previous pediatric study reported an adverse event rate of 5.2% during the perianesthesia period, including 1.9% involving cardiovascular instability.5 Based on this, we applied 2.0% as the assumed adverse event incidence rate for sample size estimation, resulting in approximately 16,000 participants, assuming a 99% probability of obtaining a 95% Wilson CI with a ±0.3% half-width for critical adverse events.

Statistical Analyses

Continuous variables are presented as means and SDs or medians and interquartile ranges, depending on data distribution normality. Categorical variables are described as numbers and percentages. Univariate analysis used chi-square or Fisher’s exact tests for categorical variables and Student’s t test and Mann–Whitney U test for numerical variables. A composite dichotomous variable identified groups with and without at least one difficult airway feature, including preoperative recognition of a possible difficult airway, difficult airway history, limited cervical range of motion, short hyomental distance, upper airway obstruction, midface hypoplasia, macroglossia, micrognathia, and macrocephaly.

Univariate and multilevel logistic regression with mixed effects analyses analyzed the association between outcomes (i.e., adverse events and desaturation) and patient, surgery, provider, and clinical practice characteristics. Random effects were adjusted for clustering by individuals with repetitive measurement as level 2. In addition, to adjust for variances in local airway management practices at each institution that could not be captured in detail, the institution was incorporated into the regression models as a level 3 random effect.17 We excluded subsequent anesthesia cases from the same patients to ensure the independence of samples but adjusted for cases in which multiple airway encounters occurred during the same surgery by incorporating the patient’s research identification number as a random effect. The odds ratios obtained from the multilevel logistic analysis are conditional estimates for the random effects.

The variables (assumed potential risk factors) incorporated into the multivariable regression models were selected through discussion among board-certified pediatric anesthesiologists based on their clinical experience and previous research findings.5 To develop multivariable regression models, composite dichotomous variables were created by classifying the potential risks based on clinical relevance. These composite variables were: (1) respiratory comorbidity (e.g., respiratory support, hypoxemia, apneic events, upper airway obstruction, laryngeal abnormalities); (2) airway sensitivity including active or within 14 days upper respiratory infection symptoms, asthma, living with an active smoker; (3) environmental sensitivity (e.g., food or medication allergies, allergic rhinitis, atopic dermatitis); (4) cardiovascular conditions (e.g., shock, cardiac arrest, congenital cardiac diseases, pulmonary hypertension); (5) physical conditions (e.g., American Society of Anesthesiologists [Schaumburg, Illinois] Physical Status of III or better, decreased muscle strength, preterm birth, low birth weight); and (6) gastrointestinal conditions, (e.g., noncompliance to nil per os, full-stomach pathophysiology, nausea, or vomiting). Anatomical features of difficult airway were categorized as none, presence of one feature, and presence of two or more features, including limited cervical range of motion, limited mouth opening, short hyomental distance, upper airway obstruction, midface hypoplasia, macroglossia, micrognathia, and macrocephaly. The regression analysis revealed independent associations between the outcomes and the odds of each patient, anesthesia, and airway-management factor after adjusting for potential confounders.

We used the REDCap registration system, which prevents the data registration process from proceeding when missing data are present for most variables. Further, site-specific research leaders reviewed collected data daily to identify any missing data. According to these structural prevention strategies, we performed a complete case analysis, assuming minimal missing data. The data were analyzed using Stata V.18.0 (StataCorp, USA), with a two-sided P value of < 0.05 as the criterion for rejecting the null hypothesis.

Data Sharing Statement

The anonymized data that support the findings of this study can be provided by the principal investigator upon reasonable request.

Results

The final Japan Pediatric Difficult Airway in Anesthesia (J-PEDIA) study data set included 16,695 children, 17,007 encounters, and 19,733 airway-securing attempts across 10 tertiary-care hospitals between June 2022 and January 2024.

Patient Characteristics

Table 1 presents the characteristics of enrolled children. The mean ± SD age was 6.3 ± 4.8 yr: 308 of 17,007 (1.8%) were neonates, 1,990 of 17,007 (11.7%) were infants, 6,860 of 17,007 (40.3%) were preschool children, 5,791 of 17,007 (34.1%) were school children, and 2,058 of 17,007 (12.1%) were adolescents. Regarding preoperative comorbidity, 771 of 17,007 (4.5%) children needed preoperative respiratory support, and 507 of 17,007 (3.0%) experienced hypoxemia. Regarding premature birth week, preterm birth (28 to less than 37 weeks) was reported in 1,118 of 17,007 (6.6%) and very preterm birth in 197 of 17,007 (1.2%). In total, premature birth weight was reported in 2,212 of 17,007 (13.0%) children: low birth weight (1,500 to 2,500 g) in 1,655 of 17,007 (9.8%), very low birth weight (1,000 to 1,500 g) in 267 of 17,007 (1.6%), and extremely low birth weight (less than 1,000 g) in 290 of 17,007 (1.7%; table 1).

Table 1.

Characteristics of Patients and Surgery (n = 17,007)

Characteristics Data
Age, yr, mean ± SD 6.3 ± 4.8
 Neonates (< 1 month), No. (%) 308 (1.8)
 Infants (1 to 11 months), No. (%) 1,990 (11.7)
 Preschool children (1 to 5 yr), No. (%) 6,860 (40.3)
 School children (6 to 12 yr), No. (%) 5,791 (34.1)
 Adolescents (13 to 17 yr), No. (%) 2,058 (12.1)
Female, No. (%) 7,045 (41.4)
Body weight, kg, median (IQR)* 17.5 (10.6, 29.3)
Body mass index, kg · m−2, median (IQR) 16.2 (15.0, 17.9)
Preoperative comorbidity, No. (%)
Preoperative respiratory support 771 (4.5)
 Oral intubation 33 (0.19)
 Nasal intubation 7 (0.041)
 Tracheostomy 224 (1.3)
 Oral or nasal airway 13 (0.076)
 Oxygen administration 291 (1.7)
 High-flow nasal cannula 167 (0.98)
 Mechanical ventilation 107 (0.63)
 ECMO or VAD 5 (0.029)
Hypoxemia§ 507 (3.0)
Apneic events 101 (0.59)
Upper airway stenosis or obstruction 381 (2.2)
Active URI symptoms 422 (2.5)
URI symptoms within 14 days 486 (2.9)
Asthma exacerbation 195 (1.2)
Laryngomalacia 117 (0.69)
Tracheomalacia 135 (0.79)
Vocal cord paralysis 41 (0.24)
Subglottic or tracheal stenosis 131 (0.77)
Nausea and vomiting 132 (0.78)
Unstable hemodynamics 51 (0.30)
History of congenital cardiac diseases 2,355 (13.9)
Pulmonary hypertension 193 (1.1)
Decreased muscle strength 200 (1.2)
Decreased airway reflexes 18 (0.11)
Low birth weight (1,500 to 2,500 g) 1,655 (9.8)
Very low birth weight (1,000 to 1,500 g) 267 (1.6)
Extremely low birth weight (< 1,000 g) 290 (1.7)
Preterm birth (28 to < 37 weeks) 1,118 (6.6)
Very preterm birth (< 28 weeks) 197 (1.2)
Post-term birth (≥ 42 weeks) 10 (0.059)
Allergy for food or medications 807 (4.8)
Symptomatic allergic rhinitis 463 (2.7)
Atopic dermatitis 407 (2.4)
Living with active smokers 2,048 (12.0)
Chromosomal abnormality#
 Trisomy 21 327 (1.9)
 Trisomy 13 16 (0.094)
 Trisomy 18 20 (0.12)
 Others 314 (1.9)
Syndrome assuming difficult airway 270 (1.6)

The data are described as numbers (%), means (SDs), or medians (IQRs).

*

Body weight included one missing value.

Body mass index included 19 missing values.

All children on ECMO or VAD underwent scheduled tracheal intubation during anesthesia induction in the operating rooms. One child was on high-flow nasal cannula preoperatively.

§

Hypoxemia was defined as a peripheral arterial oxygen saturation of less than or equal to 94% on room air.

Presence of asthma attack was defined either as an asthma attack occurring at least once within 1 month or three times or more within 1 yr.

#

Chromosomal abnormalities included 10 missing values.

ECMO, extracorporeal membrane oxygenation; IQR, interquartile range; MRI, magnetic resonance imaging; URI, upper respiratory infection; VAD, ventricular assist device.

Surgery and Anesthesia Characteristics

Craniocervical and pharyngeal surgeries were performed in 5,815 of 17,007 (34.2%) encounters, cardiac surgeries were performed in 705 of 17,007 (4.1%), and emergency surgeries were performed in 1,076 of 17,007 (6.3%). A total of 14,423 of 17,007 (84.8%) encounters were conducted in pediatric hospitals, with 16,624 of 17,007 (97.8%) occurring in operating rooms. Further, 2,445 of 17,007 (14.7%) were classified as American Society of Anesthesiologists Physical Status III or higher (table 2). Encounters with one difficult airway feature and two or more difficult airway features were reported in 530 of 17,007 (3.1%) and 141 of 17,007 (0.83%), respectively. Children with two or more anatomical features of difficult airway were more likely to have difficult airway syndromes than those with none or one (67 of 141 [47.5%] vs. 292 of 16,858 [1.73%]; P < 0.001 [with eight missing cases]). Difficult mask ventilation occurred in 152 of 17,007 (0.89%) encounters. Anesthesia induction methods included 11,067 of 17,007 (65.1%) inhalational, 5,675 of 17,007 (33.4%) intravenous, and 246 of 17,007 (1.4%) rapid sequence induction (table 2). Tracheal intubation in cardiac catheter laboratory and computed tomography (CT)/magnetic resonance imaging (MRI)/radiation therapy rooms was performed in 170 of 261 (65.1%) and 7 of 49 (14.3%) children, respectively, while SDG placement was performed in 89 of 261 (34.1%) and 34 of 49 (69.4%) children, respectively. A respective 1,991 of 2,354 (84.6%) and 344 of 2,354 (14.6%) children with congenital cardiac diseases received tracheal intubation and SGD placement.

Table 2.

Characteristics of Surgery and Anesthesia (n = 17,007)

Characteristics No. (%)
Surgery type*
 Cerebral 636 (3.7)
 Thoracic, mediastinal 157 (0.92)
 Cardiovascular 705 (4.1)
 Thoracic and abdominal 41 (0.24)
 Upper abdominal 575 (3.4)
 Lower abdominal 1,092 (6.4)
 Craniocervical, pharyngeal 5,815 (34.2)
 Thoracic wall, abdominal wall, perineal 3,056 (18.0)
 Spinal 319 (1.9)
 Hip, extremity 2,346 (13.8)
 Catheterization for examination or treatments 1,292 (7.6)
 Examinations except for catheterization 1,097 (6.5)
 Implantation 39 (0.23)
 Others 224 (1.3)
Emergency surgery 1,076 (6.3)
Intraoperative position, No. (%)
 Supine 15,374 (90.4)
 Prone 989 (5.8)
 Decubitus 828 (4.9)
 Lithotomy 536 (3.2)
 Reverse Trendelenberg 24 (0.14)
 Trendelenberg 36 (0.21)
 Others 19 (0.11)
Type of institution, No. (%)
 Pediatric 14,423 (84.8)
 Mixed adult–pediatric 2,584 (15.2)
Location, No. (%)
 Operating rooms 16,624 (97.8)
 Catheter laboratory rooms 262 (1.54)
 CT, MRI, radiation therapy rooms 49 (0.29)
 General wards 4 (0.024)
 Others 65 (0.38)
Noncompliance to nil per os 291 (1.7)
Full stomach status 379 (2.2)
Drainage of gastric contents before airway management§ 564 (3.3)
Premedication 5,610 (33.0)
ASA-PS#
 I 8,885 (52.2)
 II 5,676 (33.4)
 III 2,197 (12.9)
 IV 243 (1.43)
 V 4 (0.024)
 VI 1 (0.0059)
Difficult airway features
 History of difficult airway 145 (0.85)
 Limited cervical range of motion 70 (0.41)
 Limited mouth opening 78 (0.46)
 Short hyomental distance 27 (0.16)
 Upper airway obstruction 122 (0.72)
 Midface hypoplasia 74 (0.44)
 Macroglossia 87 (0.51)
 Micrognacia 348 (2.1)
 Macrocephaly 47 (0.28)
 Others 143 (0.84)
Difficult mask ventilation** 152 (0.89)
Types of anesthesia induction
 Inhalational 11,067 (65.1)
 Intravenous 5,675 (33.4)
 Rapid sequence†† 246 (1.4)
 Others 19 (0.11)
*

Surgery type included one missing value.

Location included three missing values.

Full stomach status included two missing values.

§

Drainage of gastric contents before airway management included eight missing values.

Premedication included two missing values.

#

ASA-PS included one missing value.

**

Difficult mask ventilation included three missing values.

††

Rapid sequence anesthesia induction was defined as the procedure that sedatives and muscle relaxants were administered simultaneously to minimize the time until tracheal intubation with or without mask ventilation.

ASA-PS, American Society of Anesthesiologists Physical Status; CT, computed tomography; MRI, magnetic resonance imaging.

Incidence and Treatment of Adverse Events

The incidence of any adverse events associated with airway management was 346 of 17,007 (2.0%; 95% CI, 1.8 to 2.3), including 168 of 17,007 (0.99%; 95% CI, 0.84 to 1.14) respiratory adverse events. Overall, desaturation events occurred in 395 of 17,007 (2.3%; 95% CI, 2.1 to 2.6) encounters. Among respiratory adverse events, laryngospasm was the most frequent (69 of 17,007 [0.41%]), followed by severe cough, upper airway obstruction, bronchospasm, esophageal intubation with desaturation, atelectasis, vomiting with aspiration, and stridor (table 3).

Table 3.

Incidence and Treatments of Adverse Events (n = 17,007)

Adverse Events and Treatments No. (%)
Adverse events
 Any adverse events* 346 (2.0)
 Respiratory adverse events 168 (0.99)
 Desaturation 395 (2.3)
 Cardiac arrest (survive) 0 (0)
 Cardiac arrest (death within 48 h) 0 (0)
 Laryngospasm 69 (0.41)
 Upper airway obstruction 27 (0.16)
 Severe cough 34 (0.20)
 Bronchial intubation 40 (0.24)
 Esophageal intubation (absence of desaturation) 86 (0.51)
 Esophageal intubation (presence of desaturation) 16 (0.094)
 Vomiting (absence of aspiration) 8 (0.047)
 Vomiting (presence of aspiration) 2 (0.012)
 Hypotension 3 (0.018)
 Hypertension 1 (0.0059)
 Tooth injury 24 (0.14)
 Pneumothorax, mediastinal emphysema 0 (0)
 Bronchospasm 20 (0.12)
 Atelectasis 9 (0.053)
 Pulmonary edema 2 (0.012)
 Stridor 4 (0.024)
 Airway trauma 2 (0.012)
 Arrhythmia (including bradycardia) 25 (0.15)
 Dislodgement of airway securing devices 13 (0.076)
 Others 27 (0.16)
Treatments for adverse events
 Sedatives 68 (0.40)
 Muscle relaxants 49 (0.29)
 Ventilatory support with tracheal tube 7 (0.041)
 Bronchodilator 16 (0.094)
 Intratracheal suctioning 36 (0.21)
 Positive pressure ventilation 74 (0.44)
 Inhalational epinephrine 11 (0.065)
 Intravenous epinephrine 3 (0.018)
 Atropine 12 (0.071)
 Inotropes, vasopressors 6 (0.035)
 Intravenous steroid 16 (0.094)
 Surgical airway secure 3 (0.018)
 Defibrillation, cardioversion 0 (0)
 Bolus infusion 3 (0.018)
 Anti-arrhythmic medications 1 (0.0059)
 Cardiopulmonary resuscitation 4 (0.024)
 Extracorporeal membrane oxygenation 0 (0)
 Reversal medications§ 2 (0.012)
 Diuretics 0 (0)
 Unscheduled admission to the ICU 12 (0.071)
 Others 45 (0.26)
*

Any adverse events included hemodynamic and airway-related complications, such as cardiac arrest, upper airway obstruction, laryngospasm, severe cough lasting 10 s or longer, bronchial intubation, esophageal intubation, vomiting with aspiration, hypotension, hypertension, tooth injury, pneumothorax, mediastinal emphysema, bronchospasm (asthma exacerbation), atelectasis, pulmonary edema, stridor, airway trauma, arrhythmia, and airway securing device dislodgement.

Respiratory adverse events included upper airway obstruction, laryngospasm, severe cough lasting 10 s or longer, esophageal intubation with desaturation, vomiting with aspiration, pneumothorax, mediastinal emphysema, bronchospasm (asthma exacerbation), atelectasis, pulmonary edema, stridor, and airway trauma.

Desaturation was defined as a drop in Spo2 greater than or equal to 10% between the initiation of airway management and the lowest value during the procedure.

§

Reversal medications were used for upper airway obstruction in two cases.

Unscheduled ICU admissions were attributed to adverse events related to airway management.

ICU, intensive care unit; Spo2, oxygen saturation measured by pulse oximetry.

Within different age groups, the incidence of any adverse events was 18 of 308 (5.8%; 95% CI, 3.5 to 9.1) in neonates and 65 of 1,995 (3.3%; 95% CI, 2.5 to 4.1) in infants. Respiratory adverse events were 8 of 308 (2.6%; 95% CI, 1.1 to 5.1) in neonates and 36 of 1,990 (1.8%; 95% CI, 1.3 to 2.5) in infants, which were higher than other older age groups (figs. 1 and 2). Desaturation predominantly affected neonates (66 of 308, 21.4%; 95% CI, 17.0 to 26.4) and infants (144 of 1,990, 7.2%; 95% CI, 6.1 to 8.5; fig. 3).

Fig. 1.

Fig. 1.

Incidence of all adverse events by age group. The age groups were defined as neonates (less than 1 month old), infants (1 to 11 months old), preschool children (1 to 5 yr old), school children (6 to 12 yr old), and adolescents (13 to 17 yr old).

Fig. 2.

Fig. 2.

Incidence of respiratory adverse events by age group. The age groups were defined as neonates (less than 1 month old), infants (1 to 11 months old), preschool children (1 to 5 yr old), school children (6 to 12 yr old), and adolescents (13 to 17 yr old).

Fig. 3.

Fig. 3.

Incidence of desaturation (oxygen saturation measured by pulse oximetry [Spo2] greater than or equal to 10% drop) by age group. The age groups were defined as neonates (less than 1 month old), infants (1 to 11 months old), preschool children (1 to 5 yr old), school children (6 to 12 yr old), and adolescents (13 to 17 yr old).

Esophageal intubation occurred more frequently among children with two or more difficult airway features (6 of 359 [1.7%] and 96 of 16,648 [0.58%], P = 0.008) and younger age (mean ± SD age, 4.2 ± 4.8 and 5.8 ± 4.8; P < 0.001). However, no significant differences were found in hospital types (81 of 14,423 [0.56%] and 21 of 2,584 [0.81%]; P = 0.13), specialists and other providers (26 of 3,695 [0.70%] and 76 of 13,312 [0.57%]; P = 0.36), or video laryngoscopy and direct laryngoscopy (24 of 2,015 [1.2%] and 77 of 9,978 [0.77%]; P = 0.060).

Risks for Adverse Events

A multilevel logistic regression analysis of 16,990 encounters showed that increasing age was associated with decreased odds of any adverse events (adjusted odds ratio [aOR], 0.92; 95% CI, 0.90 to 0.95; P < 0.001) and providing anesthesia in CT, MRI, or radiation therapy rooms rather than in operating rooms (aOR, 5.7; 95% CI, 1.64 to 19.9; P = 0.006); airway sensitivity (aOR, 1.46; 95% CI, 1.09 to 1.94; P = 0.010); craniocervical surgery (aOR, 1.41; 95% CI, 1.09 to 1.83; P = 0.009); and the presence of one (aOR, 1.74; 95% CI, 1.02 to 2.95; P = 0.042) or two or more (aOR, 2.82; 95% CI, 1.21 to 6.6; P = 0.017) anatomical difficult airway features were associated with increased odds of any adverse events. Conversely, SGD insertion at the first attempt (aOR, 0.42; 95% CI, 0.288 to 0.62; P < 0.001) and muscle relaxant use at the first airway-securing attempt (aOR, 0.62; 95% CI, 0.43 to 0.89; P = 0.013) were associated with decreased odds of any adverse events (table 4). External laryngeal manipulation, when compared with tracheal intubation, was associated with increased odds of any adverse events (aOR, 1.90; 95% CI, 1.41 to 2.56; P < 0.001). Risk factors for respiratory adverse events are shown in Supplemental Digital Content 2 (https://links.lww.com/ALN/E120).

Table 4.

Odds Ratio and 95% CI for the Risk Factors Associated with Any Adverse Events during Airway Management

Patient and Airway Management Characteristics Univariate Analysis (n = 17,007) Multivariable Analysis (n = 16,990)
Yes No OR (95% CI); P Value OR (95% CI); P Value
Total SD, IQR, or No. (%) Total SD, IQR, or No. (%)
Mean age, yr 4.7 4.4 6.3 4.8 0.92 (0.90–0.94); P < 0.001 0.92 (0.90–0.95); P < 0.001
Sex (male vs. female) 9,959 227 (2.3) 7,045 119 (1.7) 1.39 (1.10–1.76); P = 0.007 1.42 (1.12–1.80); P = 0.004
Median body weight, kg* 13.9 8.5, 21.2 17.5 10.7, 29.5
Place for airway management
 Mixed adult–pediatric hospital   
vs. pediatric hospital
2,584 58 (2.2) 14,423 288 (2.0)
 Catheter laboratory vs. operating room 262 4 (1.5) 16,624 337 (2.0) 1.00 (0.349–2.89); P = 0.99 1.01 (0.337–3.02); P = 0.99
 CT, MRI, radiation therapy rooms vs. operating room 49 4 (8.2) 16,624 337 (2.0) 5.3 (1.59–17.3); P = 0.006 5.7 (1.64–19.9); P = 0.006
Respiratory comorbidity
 Respiratory support 771 25 (3.2) 16,236 321 (2.0)
 Hypoxemia§ 507 12 (2.4) 16,500 334 (2.0)
 Apneic events 101 2 (2.0) 16,906 344 (2.0)
 Upper airway obstruction 381 13 (3.4) 16,626 333 (2.0)
 Laryngeal abnormalities 376 6 (1.6) 16,631 340 (2.0)
 Respiratory comorbidity 1,561 41 (2.6) 15,446 305 (2.0) 1.36 (0.96–1.94); P = 0.086 0.78 (0.51–1.20); P = 0.258
Airway sensitivity
 Active URI symptoms 422 20 (4.7) 16,585 326 (2.0)
 URI within 14 days without active symptoms 486 18 (3.7) 16,521 328 (2.0)
 Asthma 195 7 (3.6) 16,812 339 (2.0)
 Living with an active smoker 2,048 38 (1.9) 14,959 308 (2.1)
 Airway sensitivity 2,983 79 (2.7) 14,024 267 (1.9) 1.47 (1.11–1.96); P = 0.008 1.46 (1.09–1.94); P = 0.010
Environmental sensitivity
 Allergy for food or medication 807 17 (2.1) 16,200 329 (2.0)
 Allergic rhinitis 463 9 (1.9) 16,544 337 (2.0)
 Atopic dermatitis 407 6 (1.5) 16,600 340 (2.1)
 Environmental sensitivity 1,532 30 (2.0) 15,475 316 (2.0) 0.97 (0.65–1.45); P = 0.883 1.09 (0.73–1.65); P = 0.667
Cardiovascular comorbidity
 Shock status or cardiac arrest 51 2 (3.9) 16,956 344 (2.0)
 Congenital cardiac diseases 2,355 51 (2.2) 14,652 295 (2.0)
 Pulmonary hypertension 193 4 (2.1) 16,814 342 (2.0)
 Cardiovascular conditions 2,403 53 (2.2) 14,604 293 (2.0) 1.16 (0.84–1.59); P = 0.367 1.09 (0.74–1.62); P = 0.658
Physical condition
 ASA-PS score of III or higher 2,445 59 (2.4) 14,562 287 (2.0)
 Decreased muscle strength 200 3 (1.5) 16,807 343 (2.0)
 Preterm birth 2,448 68 (2.8) 14,559 278 (1.9)
 Low birth weight 2,222 60 (2.7) 14,785 286 (1.9)
 Physical condition 4,368 107 (2.5) 12,639 239 (1.9) 1.27 (0.99–1.62); P = 0.058 1.11 (0.84–1.48); P = 0.467
Chromosomal abnormality
 Trisomy 21 vs. none 327 5 (1.5) 16,320 328 (2.0)
 Trisomy 13 vs. none 16 1 (6.3) 16,320 328 (2.0)
 Trisomy 18 vs. none 20 2 (10.0) 16,320 328 (2.0)
 Other abnormalities vs. none 314 10 (3.2) 16,320 328 (2.0) 1.64 (0.82–3.28); P = 0.160
Gastrointestinal condition
 Noncompliance to nil per os 291 11 (3.8) 16,716 335 (2.0)
 Full-stomach pathophysiology# 379 16 (4.2) 16,626 330 (2.0)
 Nausea or vomiting 132 6 (4.6) 16,875 340 (2.0)
 Gastrointestinal condition 604 25 (4.1) 16,403 321 (2.0) 2.28 (1.44–3.63); P < 0.001 1.73 (0.97–3.07); P = 0.061
Type of surgery
 Cerebral 636 13 (2.0) 16,371 333 (2.0)
 Cardiac surgery 705 13 (1.8) 16,302 333 (2.0) 0.93 (0.51–1.67); P = 0.796 0.70 (0.36–1.36); P = 0.296
 Craniocervical 5,803 138 (2.4) 11,204 208 (1.9) 1.24 (0.98–1.56); P = 0.074 1.41 (1.09–1.83); P = 0.009
 Emergency surgery 1,076 36 (3.4) 15,931 310 (2.0) 1.77 (1.21–2.58); P = 0.003 1.47 (0.91–2.38); P = 0.116
Difficult airway evaluation
 Syndrome assuming difficult airway 359 25 (7.0) 16,648 321 (1.9) 3.98 (2.41–6.6); P < 0.001
 Difficult mask ventilation** 152 25 (16.5) 16,555 314 (1.9) 9.7 (5.6–17.1); P < 0.001
Preoperative difficult airway evaluation
 History of difficult airway 145 8 (5.5) 16,862 338 (2.0) 3.17 (1.41–7.1); P = 0.005
Anatomical features of difficult airway
 Limited cervical range of motion 70 1 (1.4) 16,937 345 (2.0) 0.64 (0.081–5.0); P = 0.669
 Limited mouth opening 78 6 (7.7) 16,929 340 (2.0) 4.3 (1.66–11.4); P = 0.003
 Short hyomental distance 27 2 (7.4) 16,980 344 (2.0) 3.60 (0.70–18.7); P = 0.127
 Upper airway obstruction 122 5 (4.1) 16,885 341 (2.0) 2.01 (0.75–5.4); P = 0.167
 Midface hypoplasia 74 1 (1.4) 16,933 345 (2.0) 0.58 (0.075–4.5); P = 0.604
 Macroglossia 87 3 (3.5) 16,920 343 (2.0) 1.75 (0.50–6.1); P = 0.380
 Micrognacia 348 21 (6.0) 16,659 325 (2.0) 3.39 (2.00–5.7); P < 0.001
 Macrocephaly 47 1 (2.1) 16,960 345 (2.0) 1.09 (0.14–8.8); P = 0.932
Preoperative difficult airway features
 One feature vs. none 530 20 (3.8) 16,336 317 (1.9) 2.00 (1.20–3.32); P = 0.007 1.74 (1.02–2.95); P = 0.042
 Two or more features vs. none 141 9 (6.4) 16,336 317 (1.9) 3.49 (1.59–7.7); P = 0.002 2.82 (1.21–6.6); P = 0.017
Airway management
 Attempt frequency (three times or more) 487 68 (14.0) 16,520 278 (1.7) 13.3 (8.3–21.5); P < 0.001
Reason for initiating a course
 Airway issue vs. planned 157 33 (21.0) 16,850 313 (1.9)
Least experienced provider in each course
 Frequent or occasional vs. specialist 2,199 45 (2.1) 3,434 92 (2.7) 0.82 (0.53–1.26); P = 0.363 0.88 (0.57–1.37); P = 0.575
 Trainee vs. specialist 10,158 180 (1.8) 3,434 92 (2.7) 0.77 (0.57–1.04); P = 0.086 0.80 (0.59–1.09); P = 0.159
Airway devices at first attempt
 Uncuffed ETT vs. cuffed ETT 965 21 (2.2) 11,502 262 (2.3)
 SGD placement vs. direct laryngoscopy†† 4,762 63 (1.3) 12,118 280 (2.3) 0.46 (0.340–0.62); P < 0.001 0.42 (0.288–0.62); P < 0.001
 Video laryngoscopy vs. direct laryngoscopy 2,015 67 (3.3) 9,978 219 (2.2) 1.82 (1.32–2.50); P < 0.001 0.70 (0.45–1.08); P = 0.109
Supportive maneuvers at first attempt
 Cricoid pressure 399 17 (4.3) 16,608 329 (2.0)
 External laryngeal manipulation 2,107 76 (3.6) 14,900 270 (1.8) 2.22 (1.66–2.96); P < 0.001 1.90 (1.41–2.56); P < 0.001
 Apneic oxygenation 191 9 (4.7) 16,816 337 (2.0)
Anesthesia management
 Induction method
  Intravenous vs. inhalational 5,921 118 (2.0) 11,067 223 (2.0) 0.92 (0.73–1.18); P = 0.526 1.05 (0.78–1.41); P = 0.749
  Rapid sequence 246 8 (3.3) 16,761 338 (2.0) 1.65 (0.76–3.59); P = 0.204 0.88 (0.36–2.15); P = 0.781
 Muscle relaxant use at first attempt 12,481 240 (1.9) 4,526 106 (2.3) 1.02 (0.78–1.34); P = 0.890 0.62 (0.43–0.89); P = 0.009
 Premedication 5,324 118 (2.2) 11,683 228 (2.0)

The data are described as numbers (%), means ± SDs, or medians (IQRs). The mean ± SD or median (IQR) values are shown in continuous variables (age and weight) by the presence (yes) and absence (no) of adverse events. The number (%) shows the occurrence of adverse events in nominal variables (sex [male vs. female], place for airway management (mixed adult–pediatric hospital vs. pediatric hospital; catheter laboratory vs. operating room; CT, MRI, or radiation therapy room vs. operating room), perioperative difficult airway features, reasons for initiating a course, least experienced provider in each course, airway devices at first attempt, and induction method). The multivariable regression analysis included the variables reported in the multivariable analysis columns. The maximal value of variance inflation factor of incorporated variables in the multilevel logistic regression model was 1.45.

*

Median body weight included one missing value.

Catheter laboratory vs. operating room included three missing values.

CT, MRI, radiation therapy rooms vs. operating room included three missing values.

§

Hypoxemia was defined as a peripheral arterial oxygen saturation of 94% or lower on room air.

Chromosomal abnormality included 10 missing values.

#

Full-stomach pathophysiology included two missing values.

**

Difficult mask ventilation included three missing values.

††

SGD placement vs. direct laryngoscopy included seven missing values.

ASA-PS, American Society of Anesthesiologists Physical Status; CT, computed tomography; ETT, endotracheal tube; IQR, interquartile range; MRI, magnetic resonance imaging; OR, odds ratio; SGD, supra glottic device; URI, upper respiratory infection.

Risks for Desaturation

Multilevel logistic analysis of 16,990 encounters revealed that increasing age was associated with decreased odds of desaturation (aOR, 0.78; 95% CI, 0.75 to 0.82; P < 0.001), and providing anesthesia in catheter laboratories (aOR, 2.76; 95% CI, 1.39 to 5.5; P = 0.004) and CT, MRI, or radiation therapy rooms (aOR, 4.3; 95% CI, 1.14 to 16.0; P = 0.031) compared with that performed in operating rooms, respiratory comorbidities (aOR, 1.51; 95% CI, 1.07 to 2.12; P = 0.017), and physical conditions (aOR, 1.94; 95% CI, 1.44 to 2.61; P < 0.001) were associated with increased odds of desaturation. In addition, cardiac (aOR, 1.75; 95% CI, 1.11 to 2.76; P = 0.016) and emergency (aOR, 1.58; 95% CI, 1.03 to 2.42; P = 0.036) surgeries, nonspecialist anesthesiologists (aOR, 1.63; 95% CI, 1.04 to 2.55; P = 0.032), and anesthesia trainees (aOR, 1.56; 95% CI, 1.10 to 2.22; P = 0.014) compared with pediatric anesthesia specialists, video laryngoscope usage at the first attempt (aOR, 1.93; 95% CI, 1.35 to 2.76; P < 0.001) when compared with tracheal intubation, and intravenous induction (aOR, 1.71; 95% CI, 1.28 to 2.30; P < 0.001) and rapid sequence induction (aOR, 3.12; 95% CI, 1.50 to 6.5; P = 0.002) when compared with inhalational induction were associated with increased odds of desaturation (table 5).

Table 5.

Odds Ratio and 95% CI for the Risk Factors Associated with the Occurrence of Desaturation during Airway Management

Patient and Airway Management Characteristics Univariate Analysis (n = 17,707) Multivariable Analysis (n = 16,990)
Yes No OR (95% CI);
P Value
OR (95% CI);
P Value
Total SD, IQR, or No. (%) Total SD, IQR, or No. (%)
Mean age, yr 2.4 3.6 6.3 4.8 0.75 (0.73–0.78); P < 0.001 0.78 (0.75–0.82); P < 0.001
Sex (male vs. female) 9,959 217 (2.2) 7,045 178 (2.5) 0.86 (0.69–1.07); P = 0.181 0.86 (0.68–1.09); P = 0.21
Median body weight,* kg 7.7 3.8, 13.0 17.7 10.9, 29.7
Location for airway management
 Mixed adult–pediatric hospital
vs. pediatric hospital
2,584 113 (4.4) 14,423 282 (2.0)
 Catheter laboratory vs. operating room 262 20 (7.6) 16,624 370 (2.2) 5.7 (2.94–10.9); P < 0.001 2.76 (1.39–5.5); P = 0.004
 CT, MRI, radiation therapy rooms vs. operating room 49 4 (8.2) 16,624 370 (2.2) 6.3 (1.71–23.0); P = 0.006 4.3 (1.14–16.0); P = 0.031
Respiratory comorbidity
 Respiratory support 771 64 (8.3) 16,236 331 (2.0)
 Hypoxemia§ 507 47 (9.3) 16,500 348 (2.1)
 Apneic events 101 5 (5.0) 16,906 390 (2.3)
 Upper airway obstruction 381 9 (2.4) 16,626 386 (2.3)
 Laryngeal abnormalities 376 16 (4.3) 16,631 379 (2.3)
 Respiratory comorbidity 1,561 103 (6.6) 15,446 292 (1.9) 5.3 (3.60–7.8); P < 0.001 1.51 (1.07–2.12); P = 0.017
Airway sensitivity
 Active URI symptoms 422 19 (4.5) 16,585 376 (2.3)
 URI within 14 days without active symptoms 486 15 (3.1) 16,521 380 (2.3)
 Asthma 195 3 (1.5) 16,812 392 (2.3)
 Living with an active smoker 2,048 35 (1.7) 14,959 360 (2.4)
 Airway sensitivity 2,983 67 (2.3) 14,024 328 (2.3) 1.01 (0.74–1.38); P = 0.940 1.19 (0.87–1.63); P = 0.283
Environmental sensitivity
 Allergy for food or medication 807 10 (1.2) 16,200 385 (2.4)
 Allergic rhinitis 463 5 (1.1) 16,544 390 (2.4)
 Atopic dermatitis 407 6 (1.5) 16,600 389 (2.3)
 Environmental sensitivity 1,532 20 (1.3) 15,475 375 (2.4) 0.56 (0.34–0.92); P = 0.023 1.05 (0.63–1.75); P = 0.841
Cardiovascular comorbidity
 Shock status or cardiac arrest 51 6 (11.8) 16,956 389 (2.3)
 Congenital cardiac diseases 2,355 120 (5.1) 14,652 275 (1.9)
 Pulmonary hypertension 193 23 (11.9) 16,814 372 (2.2)
 Cardiovascular comorbidity 2,403 124 (5.2) 14,604 271 (1.9) 3.79 (2.74–5.2); P < 0.001 0.82 (0.57–1.19); P = 0.307
Physical condition
 ASA-PS score or III or higher 2,445 171 (7.0) 14,562 224 (1.5)
 Decreased muscle strength 200 3 (1.5) 16,807 392 (2.3)
 Preterm birth 2,448 89 (3.6) 14,559 306 (2.1)
 Low birth weight 2,222 83 (3.7) 14,785 312 (2.1)
 Physical condition 4,368 214 (4.9) 12,639 181 (1.4) 4.7 (3.43–6.4); P < 0.001 1.94 (1.44–2.61); P < 0.001
Chromosomal abnormality
 Trisomy 21 vs. none 327 8 (2.5) 16,320 374 (2.3)
 Trisomy 13 vs. none 16 2 (12.5) 16,320 374 (2.3)
 Trisomy 18 vs. none 20 2 (10.0) 16,320 374 (2.3)
 Other abnormalities vs. none 314 9 (2.9) 16,320 374 (2.3)
Gastrointestinal condition
 Noncompliance to nil per os 291 10 (3.4) 16,716 385 (2.3)
 Full-stomach pathophysiology# 379 25 (6.6) 16,626 370 (2.2)
 Nausea or vomiting 132 8 (6.1) 16,875 387 (2.3)
 Gastrointestinal condition 604 32 (5.3) 16,403 363 (2.2) 2.81 (1.76–4.5); P < 0.001 0.85 (0.49–1.49); P = 0.569
Type of surgery
 Cerebral 636 23 (3.6) 16,371 372 (2.3)
 Cardiac surgery 705 67 (9.5) 16,302 328 (2.0) 7.1 (4.5–11.1); P < 0.001 1.75 (1.11–2.76); P = 0.016
 Craniocervical 5,803 76 (1.3) 11,204 319 (2.9) 0.41 (0.305–0.55); P < 0.001 0.78 (0.57–1.06); P = 0.112
 Emergency surgery 1,076 58 (5.4) 15,931 337 (2.1) 2.80 (1.95–4.0); P < 0.001 1.58 (1.03–2.42); P = 0.036
Difficult airway evaluation
 Syndrome assuming difficult airway 359 19 (5.3) 16,648 376 (2.3) 2.65 (1.49–4.7); P = 0.001
 Difficult mask ventilation** 152 22 (14.5) 16,555 360 (2.2) 9.6 (4.8–19.4); P < 0.001
Preoperative difficult airway evaluation
 History of difficult airway 145 9 (6.2) 16,862 386 (2.3) 3.50 (1.52–8.1); P = 0.003
Anatomical features of difficult airway
 Limited cervical range of motion 70 5 (7.1) 16,937 390 (2.3) 3.90 (1.26–12.1); P = 0.018
 Limited mouth opening 78 3 (3.9) 16,929 392 (2.3) 1.83 (0.48–7.0); P = 0.376
 Short hyomental distance 27 0 (0) 16,980 395 (2.3) NA
 Upper airway obstruction 122 6 (4.9) 16,885 389 (2.3) 2.38 (0.89–6.4); P = 0.085
 Midface hypoplasia 74 5 (6.8) 16,933 390 (2.3) 3.22 (1.05–9.9); P = 0.041
 Macroglossia 87 2 (2.3) 16,920 393 (2.3) 0.95 (0.20–4.6); P = 0.950
 Micrognathia 348 16 (4.6) 16,659 379 (2.3) 2.17 (1.18–3.99); P = 0.013
 Macrocephaly 47 5 (10.6) 16,960 390 (2.3) 7.43 (2.21–24.9); P = 0.001
Anatomical difficult airway features
 One risk vs. none 530 19 (3.6) 16,336 366 (2.2) 1.63 (0.94–2.80); P = 0.080 0.98 (0.55–1.75); P = 0.948
 Two or more risks vs. none 141 10 (7.1) 16,336 366 (2.2) 4.1 (1.81–9.3); P = 0.001 2.03 (0.86–4.8); P = 0.108
Airway management
 Attempt frequency (three times or more) 487 65 (13.4) 16,520 330 (2.0) 10.3 (6.3–16.9); P < 0.001
Reason for initiating a course
 Airway issue vs. planned 157 39 (24.8) 16,850 356 (2.1)
Least experienced provider in each course
 Frequent or occasional vs. specialist 2,199 83 (3.8) 3,434 67 (2.0) 1.55 (1.01–2.38); P = 0.043 1.63 (1.04–2.55); P = 0.032
 Trainee vs. specialist 10,158 233 (2.3) 3,434 67 (2.0) 1.20 (0.86–1.68); P = 0.279 1.56 (1.10–2.22); P = 0.014
Airway devices at the first attempt
 Uncuffed ETT vs. cuffed ETT 965 49 (5.1) 11,502 301 (2.6)
 SGD placement vs. direct
    laryngoscopy††
4,762 48 (1.0) 12,118 343 (2.8) 0.338 (0.237–0.48); P < 0.001 0.76 (0.49–1.20); P = 0.242
 Video laryngoscopy vs. direct laryngoscopy 2,015 119 (5.9) 9,978 225 (2.3) 3.04 (2.17–4.3); P < 0.001 1.93 (1.35–2.76); P < 0.001
Supportive maneuvers at first attempt
 Cricoid pressure 399 11 (2.8) 16,608 384 (2.3)
 External laryngeal manipulation 2,107 68 (3.2) 14,900 327 (2.2) 1.65 (1.21–2.25); P = 0.001 1.28 (0.93–1.76); P = 0.134
 Apneic oxygenation 191 9 (4.7) 16,816 386 (2.3)
Anesthesia management
 Induction method
  Intravenous vs. inhalational 5,921 214 (3.6) 11,067 175 (1.6) 2.40 (1.85–3.12); P < 0.001 1.71 (1.28–2.30); P < 0.001
  Rapid sequence 246 19 (7.7) 16,761 376 (2.2) 4.77 (2.51–9.0); P < 0.001 3.12 (1.50–6.5); P = 0.002
 Muscle relaxant use at first attempt 12,481 323 (2.6) 4,526 72 (1.6) 1.65 (1.21–2.26); P = 0.002 0.79 (0.52–1.18); P = 0.251
 Premedication 5,324 73 (1.4) 11,683 322 (2.8)

The data are described as numbers (%), means ± SDs, or medians (IQRs). The mean ± SD or median (IQR) values are shown in continuous variables (age and weight) by the presence (yes) and absence (no) of adverse events. The number (%) shows the occurrence of adverse events in nominal variables (sex [male vs. female], place for airway management (mixed adult–pediatric hospital vs. pediatric hospital; catheter laboratory vs. operating room; CT, MRI, or radiation therapy room vs. operating room), perioperative difficult airway features, reasons for initiating a course, least experienced provider in each course, airway devices at first attempt, and induction method). The multivariable regression analysis included the variables reported in the multivariable analysis columns. The maximal value of the variance inflation factor of incorporated variables in the multilevel logistic regression model was 1.86.

*

Median body weight included one missing value.

Catheter laboratory vs. operating room included three missing values.

CT, MRI, radiation therapy rooms vs. operating room included three missing values.

§

Hypoxemia was defined as the status where the preoperative Spo2 was 94% or lower on room air.

Chromosomal abnormality included 10 missing values.

#

Full-stomach pathophysiology included two missing values.

**

Difficult mask ventilation included three missing values.

††

SGD placement vs. direct laryngoscopy included seven missing values.

ASA-PS, American Society of Anesthesiologists Physical Status; CT, computed tomography; ETT, endotracheal tube; IQR, interquartile range; MRI, magnetic resonance imaging; NA, Not applicable; OR, odds ratio; SGD, supra glottic device; Spo2, oxygen saturation measured by pulse oximetry; URI, upper respiratory infection.

Discussion

This large prospective cross-sectional study explored the incidence and risks of adverse events in pediatric airway management during general anesthesia in Japan. Adverse events and desaturation occurred in approximately 2.0% of airway management courses. Desaturation predominantly occurred in neonates and infants when compared with other age groups. Risk factors included younger age, providing anesthesia outside operating rooms, airway sensitivity, craniocervical surgeries, two or more preoperatively confirmed difficult airway features, and external laryngeal manipulation. This study also highlighted the benefits of using SGDs and muscle relaxants before the first airway-securing attempt.

Our results showed a lower adverse event incidence during airway management than those reported in APRICOT, the largest multicenter prospective study in Europe, which reported a severe adverse event rate of 5.2%.5 However, this study included adverse events throughout the perianesthesia period, not exclusively those related to airway management. In contrast, this study specifically focused on adverse events during airway-securing procedures, accounting for the lower incidence of adverse events observed.

The PeDI registry, which prospectively collected data on adverse events during tracheal intubation from pediatric-specialized centers in several countries, reported at least one adverse event in 20% of children2; however, the entire PeDI study population had difficult airways, which is not representative of the general pediatric anesthesia population. In contrast, our study included all children undergoing general anesthesia, with only 671 of 17,007 (3.9%) airway-securing courses performed for children with at least one anatomical difficult airway feature and 487 of 17,007 (2.9%) courses requiring three or more airway-securing attempts, likely contributing to our lower adverse event incidence (2.0%). Additionally, several previous single-center, self-reported surveys showed higher respiratory adverse event rates, possibly due to differences in study design, definitions of outcomes, and study populations.1820 In our study, the adverse event incidence rates in children with one difficult airway feature or two or more difficult airway features were 20 of 530 (3.8%) and 9 of 141 (6.4%), respectively (table 4), lower than that in the PeDI registry (204 of 1,018 [20%]).2 This discrepancy might be due to reporting and measurement biases, misclassification, and inclusion of different pediatric populations.

Our multivariable analysis emphasized the impact of younger age on the risk of adverse events and desaturation during a sequence of airway-securing procedures, consistent with previous pediatric literature across the perianesthesia period (i.e., APRICOT) that recorded desaturation events except for during airway management.5,18 Our study, focusing specifically on airway management, showed that approximately 21% of neonates and 7% of infants experienced desaturation, which was higher than that in other age groups. Neonates’ unique physiologic and anatomical characteristics can explain this hypoxic progression tendency.1 Additionally, cardiac surgery was linked to an increased desaturation risk, possibly due to neonates with congenital cardiac diseases with right-to-left intracardiac shunts, which reduces tolerance to apnea. In some cases, preoxygenation with high-concentration oxygen is restricted for neonates with the hemodynamics and pulmonary artery flow reliance on patent ductus arteriosus.21 The higher desaturation incidence in neonates in our study highlights the necessity for shorter tracheal intubation time and higher first-attempt success rates in neonates. Our data showed that approximately 40% of respiratory adverse events in neonates involved esophageal intubation with hypoxia. In addition, overall esophageal intubation occurred more frequently among younger children. Recent European guidelines recommend video laryngoscopes for neonatal tracheal intubation, as they allow multiple anesthesia providers to confirm glottic exposure.22 Our data revealed that approximately 40% of the reasons for tracheal intubation failure in airway-securing attempts with video laryngoscopy comprised the inability to lead the tracheal tube to the vocal cords even with optimal glottic exposure, suggesting the necessity of training to guide a tracheal tube under video laryngoscopy visualization.

This study evaluated the risk of preoperative patient history and anatomical features of difficult airway for adverse events and desaturation during airway-securing attempts. Univariate analysis showed that syndromic difficult airway, preoperative recognition of a possibility of difficult airway, history of difficult airway, limited mouth opening, and micrognathia were associated with adverse events. Limited cervical motion, midface hypoplasia, and macrocephaly were associated with desaturation. Limited mouth opening hinders the insertion of airway-securing devices (e.g., laryngoscope, tracheal tube). During intrauterine development, micrognathia results from the posterior displacement of the tongue base with a decreased oropharynx space.23 In children with micrognathia, glottic exposure and insertion and manipulation of airway devices are challenging. Our univariate analysis revealed that overall esophageal intubation was more common among children with two or more difficult airway features. The higher esophageal–tracheal intubation rate in children with difficult airway features may result from limited mouth opening and oropharyngeal space for manipulating laryngoscopes. This could lead to difficulty in identifying the vocal cords and smoothly guiding the tracheal tube to them, which may result from insufficient training and experience among anesthesia providers. Efficient training for manipulating laryngoscopes to achieve a sufficient glottic view and smooth guidance of the tracheal tube to the vocal cords is essential to secure the airway of children with difficult airway features.

Regression analysis showed that the presence of at least one difficult airway feature was a risk factor for adverse events during airway-securing procedures. The risk of adverse events was deemed higher in children with two or more difficult airway features than in those with one feature. Combined features across different sites could interactively increase management difficulty. In our data set, approximately half of the children with two or more difficult airway features had difficult airway syndrome, suggesting an extensive degree of anatomical challenges.

Our data revealed that desaturation (a potential adverse event precursor) occurred more often during procedures performed by nonspecialist anesthesiologists than by specialist anesthesiologists, even without increased risk for adverse events. Hypoxia is a common cause of critical adverse events during airway management in children. Our results might reflect the occurrence of “near-miss” hypoxic events that did not progress to critical adverse events, which more likely occurred during airway management by nonspecialists and trainees.

Regarding other risk factors, providing anesthesia in CT, MRI, and radiation therapy rooms was an independent risk factor associated with adverse events after adjusting for potential patient and anesthesia risks. This implies that environmental factors outside the operating rooms, including resources (e.g., height-unadjusted table for airway management and inexperienced anesthesia assistants), may be associated with adverse events. Most children who underwent CT/MRI/radiation therapy received monitored anesthesia care without tracheal intubation or SDG placement, while most children who underwent cardiac catheterization received tracheal intubation or SDG placement. Our study only included children who underwent tracheal intubation or SGD placement. These children could be considered high-risk, leading clinicians to apply airway-securing procedures. In addition, craniocervical surgeries, emergency surgeries, and composite variables such as airway sensitivity, including current and recent (2 weeks) upper respiratory infection symptoms, and physical conditions, including preterm birth and low birth weight, were associated with adverse events.5 Conversely, SGD (instead of tracheal intubation) and muscle relaxant usage at the first airway-securing attempt were associated with a decrease in adverse events. Further research, including the type of SGDs, may help identify the features of SGDs that are associated with the failure of airway securing attempts. Consistent with previous pediatric studies in intensive care units,24 we found that external laryngeal manipulation increased the risk of adverse events in general anesthesia settings. Unlike a previous randomized controlled study,25 our data showed that intravenous anesthesia induction was associated with an increased risk of hypoxemia after adjusting for potential confounders. This finding may be explained by several assumptions. First, intravenous anesthetics might hinder subsequent bag-mask ventilation due to events such as opioid-induced (i.e., fentanyl, remifentanil, and morphine) wooden chest syndrome and cough. Second, the initiation of mask ventilation might have been delayed after spontaneous breathing disappeared due to a delay in its recognition by the anesthesia providers. In children who resist preoxygenation, desaturation is more likely to occur when mask ventilation is delayed. Our real-world data might reflect the gap between the real-world practice and the results of studies conducted under experimental conditions, including patients’ comorbidities, use of various types of airway-securing devices, and lack of sufficient preoxygenation. However, the remaining unmeasured confounders (e.g., absence of sufficient preoxygenation) might have influenced the results. Finally, unadjusted confounders, including difficult airway history, severe comorbidities causing difficult mask ventilation, or rapid hypoxemia progression (e.g., abdominal distention in GI surgery cases, pulmonary hypertension), may be involved. Further studies evaluating opioid-induced adverse events during anesthesia induction adjusting for potential confounders are needed.

This study has some limitations. First, reporting bias may arise since data collection relied on self-reports from assigned anesthesiologists, which may cause inaccurate memory and misunderstandings of research terminology. In addition, clinical judgment and interpretation of adverse event definitions (e.g., laryngospasm) might have differed at the reporter level. Second, selection bias may occur due to missing cases for inclusion. To minimize these biases, we applied a standardized data collection and verification system, in which local research leaders checked for missing data and educated anesthesia providers regarding research terminology using a manual. Additionally, research collaborators clarified any uncertainties regarding definitions or event classification through communication software (Slack). Local research leaders encouraged anesthesiologists to complete data collection within a few days to accurately recall airway management details, aiming for a data capture rate of 95% or higher. Site-specific leaders were tasked with confirming the submission of data collection forms for all applicable cases. Third, unmeasured confounders (e.g., experiences of pediatric anesthesia fellowship training) may bias the results. We addressed this by carefully reviewing previous literature to select potential confounders, which were verified by experienced board-certified anesthesiologists during protocol development.12 Fourth, missing data could distort the results. We utilized the REDCap data registration system, configured to reject registrations with missing data, which was enforced for most variables. Fifth, as our data set recorded outcomes per encounter that could include multiple attempts utilizing different airway-securing devices (e.g., tracheal tube, SGD), the exact incidence of adverse events according to tracheal intubation or SGD placement was unknown. Therefore, regarding multivariable analysis, the odds ratios of variables in the subcategory “airway devices at the first attempt” required cautious interpretation due to unadjusted confounding in cases with multiple attempts with different airway-securing devices during each course. Sixth, we selected the clinically relevant variables for multivariable regression models to evaluate their impact on the outcomes. However, the complexity of the models can cause model fitting issues, and further investigation of the prediction models is needed. Finally, the Hawthorne effect may have influenced anesthesia providers’ performance during the study period, necessitating careful interpretation of the results considering this behavioral bias.

In conclusion, this large prospective, multicenter, real-world, observational study conducted in Japan reported the incidence of adverse events and evaluated their risks during airway-securing procedures. The findings from the J-PEDIA study can help recognize airway management risks and increase safety during airway management under general anesthesia in children.

Acknowledgments

The authors thank Editage (www.editage.com) for English language editing.

Research Support

Supported by Grant-in-Aid for Scientific Research No. 22K09085 from the Ministry of Education in Japan (Tokyo, Japan).

Competing Interests

The authors declare no competing interests.

Supplemental Digital Content

Supplemental Digital Content 1. Definitions for research terminologies, https://links.lww.com/ALN/E119

Supplemental Digital Content 2. Risks for respiratory adverse events and desaturation, https://links.lww.com/ALN/E120

Supplementary Material

aln-143-835-s001.pdf (111.6KB, pdf)
aln-143-835-s002.pdf (210KB, pdf)

Appendix: J-PEDIA Nonauthor Collaborators

Chika Kikuchi, M.D.: Department of Anesthesiology, Miyagi Children’s Hospital, Sendai, Japan. Dr. Kikuchi was a research coordinator involved in ethics approval coordination and data collection.

Takashi Fujiwara, M.D.: Department of Anesthesiology, Kobe Children’s Hospital, Kobe, Japan. Dr. Fujiwara was a research coordinator involved in ethics approval coordination and data collection.

Aya Sueda, M.D.: Department of Anesthesiology, Kobe Children’s Hospital, Kobe, Japan. Dr. Sueda was a research coordinator involved in ethics approval coordination and data collection.

Tomohiro Chaki, M.D., Ph.D.: Department of Anesthesiology, Sapporo Medical University School of Medicine, Sapporo, Japan. Dr. Chaki was a research coordinator involved in ethics approval coordination and data collection.

Yuta Ikeshima, M.D.: Department of Anesthesiology, Sapporo Medical University School of Medicine, Sapporo, Japan. Dr. Ikeshima was a research coordinator involved in data collection.

Yuka Uchinami, M.D., Ph.D.: Department of Anesthesiology, Hokkaido University Hospital, Sapporo, Japan. Dr. Uchinami was a research coordinator involved in ethics approval coordination and data collection.

Yuko Nawa, M.D.: Department of Anesthesiology, Hokkaido Medical Center for Children and Rehabilitation, Sapporo, Japan. Dr. Nawa was a research coordinator involved in ethics approval coordination and data collection.

Megumi Okuyama, M.D., Ph.D.: Department of Anesthesiology, Chiba University Hospital, Chiba, Japan. Dr. Okuyama was a research coordinator involved in ethics approval coordination and data collection.

Tomohiro Yamamoto, M.D., Ph.D.: Department of Anesthesiology, Niigata University Hospital, Niigata, Japan. Dr. Yamamoto was a research coordinator involved in ethics approval coordination and data collection.

Kenya Yarimizu, M.D.: Department of Anesthesiology, Yamagata University Hospital, Yamagata, Japan. Dr. Yarimizu was a research coordinator involved in ethics approval coordination and data collection.

Yutaro Funahashi, M.D.: Department of Anesthesiology and Perioperative Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan. Dr. Funahashi was a research coordinator involved in data collection.

Abbreviations:

aOR
adjusted odds ratio
APRICOT
Anesthesia Practice In Children Observational Trial
CT
computed tomography
J-PEDIA
Japan Pediatric Difficult Airway in Anesthesia
MRI
magnetic resonance imaging
PeDI
Pediatric Difficult Intubation
SGD
supraglottic airway device
Spo2
oxygen saturation measured by pulse oximetry
STROBE
Strengthening the Reporting of Observational Studies in Epidemiology

This article is featured in “This Month in Anesthesiology,” page A1.

This article is accompanied by an editorial on p. 802.

*

The J-PEDIA study investigators are listed in the appendix.

The article processing charge was funded by the authors.

Supplemental Digital Content is available for this article. Direct URL citations appear in the printed text and are available in both the HTML and PDF versions of this article. Links to the digital files are provided in the HTML text of this article on the Journal’s Web site (www.anesthesiology.org).

Contributor Information

Taiki Kojima, Email: nql41544@gmail.com.

Yusuke Yamauchi, Email: mthgoheven@gmail.com.

Fumio Watanabe, Email: fumio_watanabe@sk00106.achmc.pref.aichi.jp.

Shogo Ichiyanagi, Email: shougo_ichiyanagi@sk00106.achmc.pref.aichi.jp.

Yasuma Kobayashi, Email: k.yasuma0416@gmail.com.

Yu Kaiho, Email: yu.kaiho.e5@tohoku.ac.jp.

Hiroaki Toyama, Email: h-toyama@umin.ac.jp.

Shugo Kasuya, Email: kasuya-s@ncchd.go.jp.

Norifumi Kuratani, Email: nori-kuratani@umin.ac.jp.

Yasuyuki Suzuki, Email: suzuki-y@ncchd.go.jp.

Chika Kikuchi, Department of Anesthesiology, Miyagi Children’s Hospital, Sendai, Japan. Dr. Kikuchi was a research coordinator involved in ethics approval coordination and data collection.

Takashi Fujiwara, Department of Anesthesiology, Kobe Children’s Hospital, Kobe, Japan. Dr. Fujiwara was a research coordinator involved in ethics approval coordination and data collection.

Aya Sueda, Department of Anesthesiology, Kobe Children’s Hospital, Kobe, Japan. Dr. Sueda was a research coordinator involved in ethics approval coordination and data collection.

Tomohiro Chaki, Department of Anesthesiology, Sapporo Medical University School of Medicine, Sapporo, Japan. Dr. Chaki was a research coordinator involved in ethics approval coordination and data collection.

Yuta Ikeshima, Department of Anesthesiology, Sapporo Medical University School of Medicine, Sapporo, Japan. Dr. Ikeshima was a research coordinator involved in data collection.

Yuka Uchinami, Department of Anesthesiology, Hokkaido University Hospital, Sapporo, Japan. Dr. Uchinami was a research coordinator involved in ethics approval coordination and data collection.

Yuko Nawa, Department of Anesthesiology, Hokkaido Medical Center for Children and Rehabilitation, Sapporo, Japan. Dr. Nawa was a research coordinator involved in ethics approval coordination and data collection.

Megumi Okuyama, Department of Anesthesiology, Chiba University Hospital, Chiba, Japan. Dr. Okuyama was a research coordinator involved in ethics approval coordination and data collection.

Tomohiro Yamamoto, Department of Anesthesiology, Niigata University Hospital, Niigata, Japan. Dr. Yamamoto was a research coordinator involved in ethics approval coordination and data collection.

Kenya Yarimizu, Department of Anesthesiology, Yamagata University Hospital, Yamagata, Japan. Dr. Yarimizu was a research coordinator involved in ethics approval coordination and data collection.

Yutaro Funahashi, Department of Anesthesiology and Perioperative Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan. Dr. Funahashi was a research coordinator involved in data collection.

Collaborators: Chika Kikuchi, Takashi Fujiwara, Aya Sueda, Tomohiro Chaki, Yuta Ikeshima, Yuka Uchinami, Yuko Nawa, Megumi Okuyama, Tomohiro Yamamoto, Kenya Yarimizu, and Yutaro Funahashi

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