Abstract
Objectives
To describe the prevalence, risk factors, and outcomes for neonatal air leak syndrome and its subtypes (pneumothorax, pneumomediastinum, pneumopericardium, pulmonary interstitial emphysema, and pneumoperitoneum), evaluate variables associated with the development of air leak, and analyze the national trend of neonatal air leak syndrome in the United States.
Methods
A retrospective cross-sectional analysis of neonates was performed using the Kids’ Inpatient Database. Univariate and multivariable analyses were used to compare neonates with and without air leak syndrome and its subtypes using the 2016 and 2019 data. Data from 1997 to 2019 were used for trend analysis.
Results
Of 7.7 million neonatal discharges, 41,814 developed air leak syndrome (5.41/1,000 discharges) in 2016 and 2019, with a mortality rate of 7.2%. Pneumothorax was the most common air leak syndrome (4.3/1,000 discharges). The risk of air leak syndrome increased with decreasing gestational age on univariate analysis. On multivariable analysis, gestational age had a variable effect on developing air leaks depending on the type of air leak syndrome. The presence of meconium aspiration syndrome, congenital diaphragmatic hernia, persistent pulmonary hypertension, and the use of invasive mechanical ventilation were associated with an increased risk of air leak syndrome. There was an increased linear trend in neonatal air leak syndrome prevalence in the United States from 1997 to 2019.
Conclusions
Air leak syndrome remains a serious and significant issue among the neonatal population and is associated with high morbidity and mortality. We present a national prevalence and outcomes of various neonatal air leak syndromes in the United States.
Keywords
Introduction
Air leak syndrome represents a spectrum of phenomena caused by the rupture of alveoli wherein escaped air from the tracheobronchial tree collects in body spaces where it is not ordinarily present.1,2 Neonatal air leak syndrome encompasses pneumothorax, pneumomediastinum, pneumopericardium, and pulmonary interstitial emphysema (PIE).2,3 Commonly, air leak syndrome results from barotrauma or volutrauma on injured lungs, with a higher incidence occurring in the neonatal period compared to other age groups.2,4 However, the development of air leak syndrome in neonates is often multifactorial regardless of the presence or absence of mechanical ventilation. 5 Multiple studies have identified the presence of underlying lung pathology, gestational age, male sex, and exposure to positive pressure ventilation as contributing factors.3–7
Over the past 50 years, clinical practice changes in the management of neonates, both term and preterm, have led to a decreased incidence of neonatal air leak syndrome in some reports.2,3 Examples of these changes include the use of nasal continuous positive airway pressure, exogenous surfactant therapy, antenatal steroid administration, and practice changes in both conventional and high-frequency oscillatory ventilation.2,8 Despite these changes, neonatal air leak syndrome remains a significant cause of morbidity and mortality.6,7 A wide range of incidences of air leak syndrome have been reported in the past. 9 The rate of pneumothorax in neonates admitted to intensive care units participating in the Canadian Neonatal Network was unchanged from 2005 to 2011, with bimodal peaks at term and 32 weeks gestational age. 10 A review of a single institution’s perinatal data over 10 years showed that the incidence of pneumothorax was 0.27% in neonates who weighed more than 2,500 grams and 2.5% in neonates who weighed less than 2,500 grams. 11 In a regional study from Denmark over 9 years, the incidence of pneumothorax in live births was 0.14%, with transient tachypnea of the newborn being the most common underlying respiratory illness. 12 In a previous study from the Kids’ Inpatient Database (KID), the prevalence of pneumothorax was 0.034% among neonates from 2006 to 2012, with the highest prevalence at ≤24 weeks gestation (0.67%) and lowest at term (0.02%). 13 The overall mortality rate of neonates with pneumothorax was 8.8%, and greater in preterm (16.3%) versus term infants (2.7%). 13 The incidence of asymptomatic pneumothorax may be higher than has been reported. 9
Mortality rates for neonatal air leak syndrome range from 10% to 68%. However, mortality rates vary by subtype.4,6,7 To date, many studies have focused on one subtype of air leak syndrome, with pneumothorax being the most studied. The primary objective of our study aimed to utilize data collected from a large national discharge database to describe the prevalence and outcomes of neonatal air leak syndrome and its subtypes during 2016 and 2019 and to evaluate variables associated with air leak syndrome and their outcome. The secondary objective was to evaluate the trend in the prevalence of neonatal air leak syndrome from 1997 to 2019 in the United States.
Methods
We performed a retrospective cross-sectional analysis of neonates utilizing the Healthcare Cost and Utilization Project’s (HCUP) Kids’ Inpatient Database (KID) for 2016 and 2019. HCUP has published the KID every 3 years since 1997. The KID is an ideal database to identify, track, and analyze demographic data, outcomes, and trends for a broad range of pediatric conditions and procedures on a national level. 14 The KID for the year 2019 includes data from 4,000 US community hospitals (defined as short-term, non-Federal, general, and specialty hospitals, excluding hospital units of other institutions), excluding rehabilitation hospitals. The KID for the year 2016 includes data from 4200 community hospitals. The KID 2019 includes data from 48 states plus the District of Columbia, while the data in KID 2016 includes data from 46 states and the District of Columbia. Normal newborns were sampled at a rate of 10%, while complicated newborns were sampled at 80%. The KID includes pediatric discharges of all payers, including children covered by Medicaid, private insurance, and uninsured children. For trend analysis of neonatal air leak syndrome prevalence, we used KID databases from 1997 to 2019 (1997, 2000, 2003, 2006, 2009, 2012, 2016, and 2019). International Classification of Diseases 9th revision (ICD-9-CM) groups neonatal pneumothorax, pneumomediastinum, pneumpericardium, and PIE into one code (770.2). Hence, we were only able to trend neonatal air leak syndrome and not the subtypes.
We included all neonates, defined as patients aged 0–28 days at hospital admission. Exclusion criteria included patients with more than 28 days of life at admission. We identified neonates with air leak syndromes using ICD diagnosis codes. ICD-10-CM codes P25.0 through P25.8 were used to identify air leak subtypes originating in the perinatal period and J93 through J93.9 for other air leak subtypes. ICD-10-CM codes for PIE and related conditions, P25.0, P25.8, and J98.2, were combined under PIE. For patients with multiple air leak syndrome diagnoses, for example, pneumothorax and PIE, the patient was grouped into the most severe form of air leak based on the case fatality rates. We used ICD-9 codes to identify variables in KID databases before 2016. There are no specific ICD-9 codes for subtypes of neonatal air leak syndrome. Hence, we used aggregate air leak syndrome from 1997 to 2019 for trend analysis. The Clinical Classification Software (CCS) condenses several ICD-10 and ICD-9 diagnosis and procedure codes into a smaller set of clinically relevant groups and is used when appropriate. 15 Other associated conditions, procedures, and risk factors were identified using relevant ICD-10-CM, ICD-10-PCS, or CCS codes. Gestational age was subdivided by weeks of gestation into extremely preterm (<28 weeks), very preterm (28 to <32 weeks), moderate preterm (32 to <34 weeks), late preterm (34 to <37 weeks), and term (≥37 weeks).16,17 Morbidity (non-routine discharges) was defined as those patients whose discharge status included disposition to a short-term hospital, skilled nursing facility, or with home health services, per HCUP data elements classifications. 18
The KID combines race and ethnicity data into one variable. We have regrouped race/ethnicity data into White, Black, Hispanic, and others (Asian and Pacific Islanders, Native Americans, and unspecified). The payor status was regrouped into government insurance, private insurance, and other forms of coverage. Median household income is categorized into quartiles based on estimated income data from residents’ ZIP codes. These quartiles range from 1 (lowest) to 4 (highest), indicating the poorest to wealthiest populations, with the income ranges for each quartile varying annually due to updates in ZIP code-based demographic information. 19 The KID reports total charges as submitted by the source hospital, excluding the professional fees and non-covered charges. Total charges were adjusted for inflation to 2019 values. 20
Statistical analysis
All analyses employed complex sampling and data weighting for national estimates. Demographic, clinical, and outcome variables were compared between neonates with and without air leak syndromes. The outcomes analyzed were length of stay, total charges, and mortality. The demographic characteristics, hospital type, gestational age, various neonatal disease processes, use of mechanical ventilation, and mortality were compared between neonates with and without air leaks using chi-square tests. The Mann–Whitney U test was used to compare continuous variables between the two groups. Chi-square and Kruskal–Wallis tests were used to compare categorical and continuous variables among air leak syndrome subtypes. Multivariable analyses were performed to assess the risk for air leaks in all neonates and the risk factors for mortality in neonates with air leak syndrome. In all multivariable analyses, a priori selected independent variables included in the models were gestational age groups, various pulmonary diseases (respiratory distress syndrome (RDS), meconium aspiration syndrome (MAS), congenital diaphragmatic hernia (CDH), persistent pulmonary hypertension (PPHN), and transient tachypnea of newborn (TTN)), any operating procedure for cardiac conditions, and invasive and non-invasive mechanical ventilation. In the binary regression analysis, to determine the mortality risk in neonates with air leak, we included various subtypes of air leaks in the model in addition to the independent variables mentioned above. The model’s overall performance is presented as chi-square (df) for significance, and Nagelkerke’s R2 is used to explain the variation. The risks for the outcome variable are presented as adjusted odds ratio and 95% confidence intervals (CIs).
Categorical data are summarized using numerical values and percentages with 95% CI, while continuous data are depicted using medians and interquartile ranges (IQRs). Two-by-two analyses and regression results are presented as p-values alongside odds ratios (ORs) and 95% CI. For multiple analyses, the significance level was reported after the Bonferroni correction. The extended Mantel–Haenszel test was used for linear trend analysis. The linear trend analysis was performed using Epi Info™ (CDC, Atlanta, GA). IBM® SPSS® Statistics version 28.0 (IBM, Armonk, New York) was used for all other statistical analyses. The Institutional Review Board approved the study as exempt. All analyses were performed per the HCUP guidelines, and any data with values <11 patients were not reported.
Results
Prevalence
Prevalence and in-hospital mortality of neonatal air leak syndrome.
*Indicates the p values belong to mortality; ** compared to no air leaks.
Demographic characteristics
Demographic characteristics of neonates with and without any air leak syndrome.
Air leak syndromes and gestation age
Pneumothorax was the most common air leak syndrome, with a prevalence of 4.3/1,000 hospital discharges. The prevalences by subtype of air leak syndrome are presented in Table 1. By univariate analysis, the prevalence of air leak syndrome was significantly associated with earlier gestational age and pathological disease processes related to prematurity. The prevalence of air leak syndrome increased significantly with lower gestational age (Figure 1). The prevalence of each subtype of air leak syndrome also increased as gestation age decreased. The prevalence of air leak syndrome was highest in the extremely premature population, accounting for 101.2/1,000 discharges (Table 3). The prevalence of various neonatal air leak syndromes by gestational age in the United States during 2016 and 2019. Prevalence per 1,000 discharges of neonatal air leak syndrome by gestational age and subtype. Extremely preterm: <28 weeks gestation; very preterm: 28 to <32 weeks gestation; moderate preterm: 32 to <34 weeks gestation; late preterm: 34 to <37 weeks gestation; term: ≥37 weeks gestation. The values for pneumomediastinum and pneumopericardium are shown on the secondary axis. Prevalence of air leak syndrome subtype per 1,000 discharges by gestational age. Extremely preterm: <28 weeks gestation; very preterm: 28 to <32 weeks gestation; moderate preterm: 32 to <34 weeks gestation; late preterm: 34 to <37 weeks gestation; term: ≥37 weeks gestation. p < 0.001 adjusted with the Bonferroni method for multiple comparisons.
Subtypes of air leak syndromes
Characteristics and outcomes of neonatal air leak syndrome subtypes in the United States during 2016 and 2019.
The values are presented as % (95% confidence intervals). ** Too small (<11) to report.
Extreme preterm: <28 weeks gestation; very preterm: 28 to <32 weeks gestation; moderate preterm: 32 to <34 weeks gestation; late preterm: 34 to <37 weeks gestation; term: ≥37 weeks gestation.
Associated risk factors for developing air leaks
Variables associated with adjusted risk for developing air leak syndrome and its subtypes.
Extremely preterm: <28 weeks gestation; very preterm: 28 to <32 weeks gestation; moderate preterm: 32 to <34 weeks gestation; late preterm: 34 to <37 weeks gestation; term: ≥37 weeks gestation. CDH = congenital diaphragmatic hernia. IMV = invasive mechanical ventilation, MAS = meconium aspiration syndrome. NIV = non-invasive ventilation, PPHN = persistent pulmonary hypertension of the newborn, RDS = respiratory distress syndrome, TTN = transient tachypnea of the newborn.
**Continuous variables are presented as median (interquartile range), p < 0.001. The adjusted risk is presented as an odds ratio (95% CI).
Outcomes
The length of stay and hospital charges were higher in neonates with air leak syndrome (Table 2) and differed significantly among air leak syndrome subtypes (Table 5). Compared to neonates without air leak syndrome, routine discharge was significantly lower (74.1% vs 96.2%), while morbidity (18.7% vs 3.5%) and mortality (7.2% vs 0.3%; OR: 24.4; 95% CI: 23.5–25.4) were significantly higher in neonates with air leak syndrome. Males with air leak syndrome had a lower mortality risk than females (6.3% vs 8.7%; OR 0.71; 95% CI: 0.65–0.77). In univariate analysis, the mortality rate varied significantly with the air leak syndrome subtype (Table 1). The highest mortality rate among subtypes was pneumopericardium at 23.6%, although it had the lowest prevalence at 0.034/1,000 discharges. PIE had the second-highest mortality rate at 20.7%, with a prevalence of 0.37/1,000 discharges.
Variables associated with adjusted risk of mortality in neonatal air leak syndrome.
IMV = invasive mechanical ventilation. NIV = non-invasive ventilation. PPHN = persistent pulmonary hypertension of the newborn. RDS = respiratory distress syndrome. TTN = transient tachypnea of newborn. Extreme preterm: <28 weeks gestation; very preterm: 28 to <32 weeks gestation; moderate preterm: 32 to <34 weeks gestation; late preterm: 34 to <37 weeks gestation; term: ≥37 weeks gestation.
Trend analysis
A linear trend analysis was performed to determine the prevalence of air leak syndrome in all neonates from 1997 to 2019. The prevalence ranged from 5.1 to 5.8 neonates with air leak syndrome for every 1,000 neonatal discharges. During the analysis period, the linear trend for neonatal air leak syndrome prevalence increased significantly (Figure 2). The prevalence of neonatal air leak syndrome from 1997 to 2019 in the United States. Prevalence trend of neonatal air leak syndrome from 1997 to 2019.
Discussion
Our study from a national discharge database illustrates that air leak syndrome remains pervasive in the neonatal population and is also increasing, with an overall prevalence of 0.53%. In this analysis, we present the national prevalence of neonatal air leak syndrome, various subtypes of air leak syndromes, and the risk factors associated with the development of neonatal air leak syndromes and associated outcomes. Neonatal air leak syndrome has been well described in the medical literature for decades. While there is data to suggest that the prevalence of air leak syndrome was higher in previous decades, we report an increase in prevalence over the last 2 decades.2,3,5
The study by Acun et al. using the KID database for the years 2006, 2009, and 2012 reported a prevalence rate of 0.034% compared to the prevalence in our report of 0.53%. 13 Several methodologic differences may account for the difference in the reported prevalence of air leak syndromes. We have used all ICD codes for pneumothorax, including neonatal air leaks. The previous study did not report the specific codes used to identify pneumothorax but may have only used neonatal air leaks (ICD-9 code 770.2). In addition, we have included all neonates in our cohort, whereas the authors have excluded neonates with congenital anomalies of the diaphragm, lung, and abdominal wall in the previous study.
Prior studies have shown an increased risk of neonatal air leak syndromes in the male population compared to females, particularly pneumothorax, similar to our study.4,7,21,22 Our data supports this relationship across all neonatal air leak syndrome subtypes. Male gender is known to have a higher risk for mortality and morbidity in those born prematurely. 22 Although the risk of developing air leak syndrome was higher in male neonates, the associated mortality risk was lower in univariate analysis in our study.
Gestational age and risk factors
Prematurity is a well-documented risk factor associated with the development of air leak syndrome.1,4,7,23,24 Our data supports that of previously published literature that air leak syndrome and all subtypes of air leak syndromes are more prevalent in premature than in term babies. This increased risk has been associated with numerous factors, including underlying pulmonary pathology associated with prematurity, such as RDS, MAS, and PPHN. The literature documents the association between underlying pulmonary pathology and the development of air leak syndrome.4,7 Our data support prior publications and show a statistically significant increased risk for air leak syndrome among neonates with the presence of MAS and CDH. In addition, the need for positive pressure ventilation is also associated with higher odds of developing neonatal air leak syndrome, as noted in our study.4,5,7,21 However, when adjusted for various risk factors such as underlying pulmonary pathology and the use of mechanical ventilation, the associated risk of gestational age for developing air leaks depends on the type of air leak syndrome.
As we have noted, PIE is more likely to develop in premature babies. In contrast, pneumothorax or any air leak syndrome is more likely to develop in a term baby after adjusting for other risk factors. The discordance of the effect of gestational age on the development of air leaks in univariate and multivariable analyses may be due to the risk factors included in the regression models. For example, positive pressure ventilation in the delivery room is a known risk factor for developing pneumothorax in term and near-term neonates. 25 Delivery by elective caesarian section is also known to be associated with developing pneumothorax in term babies.26,27 Spontaneous pneumothorax at the time of delivery due to high pressure generated during initial breaths is known to occur. 28 Due to a lack of documentation, we could not include the use of positive pressure ventilation in the delivery room and elective caesarian section in our model. RDS and the use of invasive mechanical ventilation are strong risk factors for premature babies developing air leaks. We included those variables in our regression analyses.
Air leak syndrome subtypes
In our study, pneumothorax and pneumomediastinum had similar characteristics regarding gestational age, the use of mechanical ventilation, and mortality risk. Similar to pneumothorax, pneumomediastinum is known to occur spontaneously after birth.23,29 Pathophysiologically and epidemiologically, pneumomediastinum and pneumothorax behave similarly, as seen in our study.
PIE is uncommon and can occur at any age, but it is most frequent in neonates. 30 As our study shows, the prevalence of PIE is inversely related to gestational age. 31 The risk factors for pulmonary PIE in preterm infants include higher oxygen use during resuscitation and increased surfactant use, as well as high ventilatory pressures. 32 PIE continues to occur in premature babies who are mechanically ventilated despite advancements in neonatal management.
The diagnosis of PIE is fraught with inaccuracies. 30 PIE can be difficult to differentiate from lucent bronchiole overdistention. PIE can also be misinterpreted as pulmonary edema or aspiration syndrome. Air bronchograms of respiratory distress syndrome may be misdiagnosed as PIE. The airways and alveoli can appear distended in neonates on mechanical ventilators, as in PIE.
National trend
Surfactant therapy has been shown to improve pneumothorax in premature babies with RDS.33–35 There are several reports of decreased prevalence of air leaks after surfactant therapy was approved. Our study period is several decades after surfactant therapy is in use. We find that air leak prevalence has increased nationally from 1997 to 2019. We could not find a similar study comparing the prevalence of air leaks at a national level before the surfactant was used. In a study from the Canadian Neonatal Network, the rate of pneumothorax in neonates admitted to intensive care units from 2005 to 2011 was unchanged. 10 Although there is improved neonatal care, such as ventilator management, the increased trend in air leaks may be due to an increase in survival of extremely preterm and other contributing perinatal management practices. This is an area that needs further exploration.
Limitations
Our study has several limitations. Like many administrative databases, the KID is subject to coding errors, including incorrect coding and omission of relevant codes. The data provided by these databases often lack granularity by nature of how and what information is entered into the databases. Laboratory and physiologic data are not included in the KID. Several perinatal variables that may influence the development of air leaks, such as delivery room resuscitation and vigorous suctioning efforts, are not coded and were not used in the analyses. The KID does not provide temporal associations, so we could not evaluate temporal relationships. Our data may not apply to neonates outside of the United States. Due to transfers across the institutions, there is a potential for double counting of neonates with air leaks.
Conclusion
In summary, air leak syndrome remains a serious and significant medical condition among the neonatal population and is associated with high morbidity and mortality. Our national study presents the prevalence of air leak syndrome and its subtypes at different gestational ages, the risk factors for developing air leaks, and associated mortality. Since 1997, the prevalence trend of air leak syndrome in neonates has increased significantly in the United States, an area that needs further exploration.
Statements and declarations
Footnotes
Author contributions
Adam Beaton: conceptualization, formal analysis, and writing—original draft preparation. Prithvi Sendi: data curation, formal analysis, and writing—reviewing and editing. Paul Martinez: writing—reviewing and editing. Balagangadhar Totapally: conceptualization, formal analysis, supervision, and writing—reviewing and editing.
Conflicting interest
The authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
Funding
The authors received no financial support for the research, authorship, and/or publication of this article.
