ABSTRACT
Background:
Esophageal atresia (EA), with or without tracheoesophageal fistula, remains associated with substantial early mortality and long-term morbidity. Reported incidence and outcomes vary across Asia, but interpretation is complicated by differences in case capture, referral pathways, diagnostic capacity, and neonatal intensive care availability.
Methods:
We performed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses 2020-aligned systematic narrative review of observational studies from Asian countries published up to March 2024 (PubMed and Google Scholar). Studies reporting incidence, associated anomalies, morbidity, or mortality were included. Findings were synthesized descriptively and presented stratified by study base (population-based vs. hospital-based) and resource setting (World Bank income proxy). Risk of bias was assessed using a generic domain-based framework (D1–D6).
Results:
Thirty-four studies (3304 infants) were included. Six population-based studies reported incidence ranging from 6.17 to 20.30 per 100,000 live births. Hospital-based reports documented 921 associated anomalies, most commonly gastrointestinal (36%) and cardiovascular (27%). Mortality across 19 cohorts ranged from 2% to 83%. Morbidity profiles differed by setting: in higher-resource cohorts, reported events were dominated by gastroesophageal reflux and anastomotic stricture, whereas in lower-resource cohorts, septicemia (47% of events) and wound infection (10%) were prominent.
Conclusion:
EA incidence in Asia is within international ranges, but published outcomes vary widely and should be interpreted descriptively given referral and ascertainment differences, variable anomaly detection, heterogeneous definitions, and limited follow-up. Priorities include strengthening prenatal detection and referral, improving neonatal stabilization and safe transport, standardizing perioperative care with infection prevention, and establishing feasible long-term follow-up supported by a pragmatic action framework.
KEYWORDS: Asia, congenital anomalies, esophageal atresia, morbidity, mortality
INTRODUCTION
Esophageal atresia (EA) is a life-threatening congenital anomaly that exemplifies the dependence of neonatal surgical outcomes on health system capacity. Advances in neonatal intensive care, anesthesia, and pediatric surgery have transformed EA into a largely survivable condition in high-income settings, where survival now exceeds 90%. In contrast, mortality in many low- and middle-income countries (LMICs) remains above 30%–50%, with some hospital-based series reporting mortality >70%.[1,2] These disparities largely reflect differences in early recognition, referral pathways, neonatal transport, access to intensive care, infection prevention, and continuity of follow-up rather than intrinsic differences in disease biology.
Asia represents a particularly heterogeneous region, encompassing countries with advanced neonatal surgical systems alongside settings where neonatal surgical care remains severely constrained. Interpretation of EA outcomes in the region is complicated by referral dependency and underreporting of early neonatal deaths prior to admission or surgery, which can inflate apparent survival in hospital-based cohorts.[3] Meaningful synthesis therefore requires explicit consideration of health system context.
Globally, EA occurs in approximately 0.4–3.6 per 10,000 live births, although reported incidence varies widely across regions.[2] Population-based studies from Asia demonstrate substantial variation in reported incidence, likely reflecting differences in congenital anomaly surveillance systems, registry coverage, and prenatal detection practices rather than true epidemiologic variation.
EA is frequently associated with other congenital anomalies, with 40%–60% of infants affected, most commonly involving the cardiovascular and gastrointestinal systems. Multisystem patterns such as VACTERL association are well recognized.[4,5] The presence of major associated anomalies, particularly congenital heart disease, is a key predictor of mortality.[6] Reported anomaly profiles vary between studies, reflecting differences in diagnostic work-up rather than underlying disease patterns.
Beyond survival, EA is increasingly recognized as a chronic condition with substantial long-term morbidity. More than half of survivors experience gastrointestinal or respiratory complications, including gastroesophageal reflux, anastomotic stricture, dysphagia, and recurrent respiratory infections, in cohorts with structured follow-up.[7] In lower-resource Asian settings, long-term outcomes are rarely reported due to limited follow-up infrastructure, leading to underestimation of the full disease burden.
Despite the growing literature, few reviews have focused on EA in Asia while explicitly accounting for differences in surveillance systems, referral pathways, and health system capacity. To address this gap, we conducted a systematic narrative review of EA in Asia with three objectives: (1) to synthesize available evidence into a pragmatic, health system-oriented framework highlighting actionable priorities for reducing EA-related mortality and morbidity in LMIC Asian settings, (2) to summarize population-based incidence estimates while accounting for differences in surveillance coverage and case ascertainment, and (3) to describe associated congenital anomalies, mortality, and morbidity reported in hospital-based cohorts, stratified by resource setting to support system-level interpretation. This approach aims to provide a policy-relevant synthesis to inform neonatal surgical planning and quality improvement across Asia.
METHODS
This systematic narrative review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guidelines. Literature searches were conducted in PubMed and Google Scholar from January 2014 to March 2024, representing the most recent 10-year period prior to the search. The search used combinations of Medical Subject Headings and free-text terms related to EA, tracheoesophageal fistula, congenital anomalies, morbidity, mortality, incidence, prevalence, and Asia. Reference lists of relevant articles were also screened to identify additional eligible studies.
We included observational studies from Asian countries (cohort studies, cross-sectional studies, and case series including ≥10 infants) that reported at least one of the following outcomes: population-based incidence or prevalence, associated congenital anomalies, morbidity, or mortality in infants with EA. Studies were limited to those published in English with accessible full texts to allow consistent evaluation of eligibility and data extraction across reviewers using publicly searchable databases. Reviews, editorials, letters, case reports, randomized trials, non-Asian studies, and studies without extractable EA-specific data were excluded. After removal of duplicates, titles and abstracts were screened, followed by full-text assessment of potentially eligible articles. Discrepancies in study selection were resolved through discussion. The study selection process is summarized in the PRISMA flow diagram [Figure 1].
Figure 1.

Preferred Reporting Items for Systematic Reviews and Meta-Analyses flowchart of the study
Data were extracted using a standardized template capturing country or subregion, study design, study period, study setting (population-based surveillance/registry versus hospital-based cohort), sample size, and extractable numerators and denominators for incidence, associated anomalies, morbidity, and mortality. For incidence studies, the number of EA cases and the corresponding total number of births in the source population were recorded.
To support stratified interpretation, studies were categorized according to study base (population-based versus hospital-based) and resource context using the World Bank income classification as a proxy for health-system resources. Countries were grouped into higher-resource settings (high-income and upper-middle-income countries) and lower-resource settings (lower-middle-income and low-income countries). Where reported, morbidity outcomes were also categorized according to follow-up type, distinguishing perioperative or early postoperative complications from outcomes reported during longer-term follow-up.
Risk of bias was assessed using a prespecified generic domain-based framework designed for heterogeneous observational evidence. Each study was rated as low risk, some concerns, or high risk across six domains: (D1) selection and referral processes, (D2) incomplete case ascertainment including early neonatal deaths, (D3) differential detection of associated anomalies, (D4) outcome definition and measurement, (D5) missing follow-up or attrition, and (D6) confounding or incomplete case-mix reporting. This framework was selected because the included evidence base comprised both population-based surveillance studies and hospital-based case series, making the consistent application of a single design-specific risk-of-bias tool difficult. These domains were chosen to capture the principal threats to comparability across settings, including referral bias, underascertainment of early deaths, variable diagnostic capacity, and incomplete long-term follow-up. Study-level assessments are summarized in Figure 2 with detailed ratings provided in Supplementary Table 1.
Figure 2.

Risk-of-bias summary[8]
Supplementary Table 1.
Risk-of-bias assessment of included studies using the generic domain-based framework (D1–D6) with overall judgment
|
Because of substantial heterogeneity in study design, outcome definitions, follow-up duration, and reporting practices, findings were synthesized narratively using ranges and descriptive summaries. Where aggregated counts were presented, these were interpreted descriptively rather than as pooled estimates or causal comparisons between the settings.
RESULTS
Study characteristics
A total of 34 studies including 3304 infants with EA met the eligibility criteria and were included in this review. The included studies varied substantially in design, surveillance coverage, and health system context. To improve interpretability, findings are presented separately for population-based studies, which contributed incidence estimates, and hospital-based cohorts, which reported associated anomalies, mortality, and morbidity. Hospital-based studies accounted for the majority of included evidence and primarily originated from tertiary referral centers. Population-based studies were derived from national or regional congenital anomaly surveillance systems and birth registries. The characteristics of included studies and outcome reporting are summarized in Tables 1-5.
Table 1.
Congenital-related anomalies associated with esophageal atresia
| Anomaly type | Number of cases (%) |
|---|---|
| Gastrointestinal | 331 (35.94) |
| Cardiovascular | 250 (27.14) |
| Musculoskeletal | 64 (6.95) |
| Genitourinary | 41 (4.45) |
| Genetic | 12 (1.30) |
| Neurological | 5 (0.54) |
| Pulmonary | 12 (1.30) |
| Unspecified VACTERL | 121 (13.14) |
| Unspecified non-VACTERL | 85 (9.23) |
| Total | 921 (100) |
Percentages represent the distribution of reported anomaly events across included studies. As individual infants may have multiple anomalies, these values do not represent patient-level prevalence
Table 5.
Population-based incidence studies
| Study | Country | Region | Resource setting | Study base | Cases (n) | Births/reported rate | Incidence per 100,000 |
|---|---|---|---|---|---|---|---|
| Faal et al. (2018)[29] | Iran | Western Asia | Higher-resource | Population-based | 1 | 6000 births | 16.67 |
| Lee et al. (2023)[12] | Korea | East Asia | Higher-resource | Population-based | 470 | 2,703,822 births | 17.38 |
| Sirichamratsakul et al. (2023)[17] | Thailand | Southeast Asia | Higher-resource | Population-based | 216 | 0.88 per 10,000 | 8.80 |
| Song et al. (2022)[30] | China | East Asia | Higher-resource | Population-based | 8 | 1.65 per 10,000 | 16.50 |
| Ajimamatov (2023)[31] | Uzbekistan | Central Asia | Lower-resource | Population-based | 1 | 1 in 16,219 births | 6.17 |
| Yang et al. (2022)[32] | China | East Asia | Higher-resource | Population-based | 30 | 147,817 births | 20.30 |
Congenital-related anomalies
Across the included cohorts, a total of 921 associated anomalies were reported [Table 1]. These counts represent event-level totals rather than patient-level prevalence, as individual infants may have more than one anomaly, and most studies did not report the proportion of infants with at least one associated anomaly.
Among reported anomaly events, gastrointestinal anomalies were most frequently reported (331, 36%), followed by cardiovascular anomalies (250, 27%). Syndromic or multisystem patterns were also commonly reported, including unspecified VACTERL (121, 13%) and unspecified non-VACTERL multisystem patterns (85, 9%). Musculoskeletal (64, 7%) and genitourinary system anomalies (41, 4%).
Anomaly detection depends on the intensity of diagnostic evaluation (e.g. routine echocardiography, genetic testing, or multisystem screening), differences in reported anomaly distributions between studies should be interpreted primarily as differences in detection and reporting practices rather than definitive differences in underlying epidemiology [Table 1].
Mortality (hospital-based cohorts)
Nineteen studies reported mortality outcomes [Table 2a and b]. Mortality varied widely across cohorts, ranging from 2.2% (Zhang, 2020, China) to 83% (Chowdhury, 2020, Bangladesh) [Table 2a and b]. In higher-resource settings, multiple cohorts reported mortality in the single-digit to low-teen range, including 8% (Al-Jahdali, 2018, UAE), 8% (Kazemian, 2022, Iran), 5% (Shahri, 2021, Iran), 11% (Chiang, 2023, Singapore), 12% (Lee, 2023, Korea), and 14% (Sirichamratsakul, 2023, Thailand) [Table 2a]. Very low-reported mortality was also observed in selected cohorts, including 3% (Okuyama, 2018, South Korea) and 2% (Zhang, 2020, China), although these findings should be interpreted in relation to study design and case-mix [Table 2a].
Table 2a.
Mortality in higher resource settings
| Study | Country | Resource setting | Sample size (n) | Deaths (n) | Mortality (%) |
|---|---|---|---|---|---|
| Al-Jahdali et al. (2018)[9] | UAE | Higher-resource | 50 | 4 | 8.0 |
| Chiang et al. (2023)[7] | Singapore | Higher-resource | 65 | 7 | 10.8 |
| Kazemian et al. (2022)[10] | Iran | Higher-resource | 233 | 19 | 8.2 |
| Mottaghi et al. (2021)[11] | Iran | Higher-resource | 38 | 2 | 5.3 |
| Lee et al. (2023)[12] | Korea | Higher-resource | 470 | 56 | 11.9 |
| Lu et al. (2021)[13] | Taiwan | Higher-resource | 86 | 14 | 16.3 |
| Murase et al. (2015)[14] | Japan | Higher-resource | 35 | 3 | 8.6 |
| Muto et al. (2022)[15] | Japan | Higher-resource | 32 | 4 | 12.5 |
| Okuyama et al. (2018)[16] | South Korea | Higher-resource | 62 | 2 | 3.2 |
| Sirichamratsakul et al. (2023)[17] | Thailand | Higher-resource | 216 | 30 | 13.9 |
| Syed et al. (2020)[18] | Saudi Arabia | Higher-resource | 12 | 4 | 33.3 |
| Zhang et al. (2020)[19] | China | Higher-resource | 92 | 2 | 2.2 |
Table 2b.
Lower-resource settings
| Study | Country | Resource setting | Sample size (n) | Deaths (n) | Mortality (%) |
|---|---|---|---|---|---|
| Ahmed and Tareen (2018)[20] | Pakistan | Lower-resource | 30 | 5 | 16.7 |
| Chowdhary et al. (2020)[21] | India | Lower-resource | 25 | 6 | 24.0 |
| Chowdhury et al. (2020)[22] | Bangladesh | Lower-resource | 18 | 15 | 83.3 |
| Gupta and Bhatnagar (2016 )[23] | India | Lower-resource | 430 | 296 | 68.8 |
| Hatti et al. (2020)[24] | India | Lower-resource | 61 | 12 | 19.7 |
| Jagdeesh Prasad (2017)[25] | India | Lower-resource | 53 | 21 | 39.6 |
| Saleem et al. (2020)[26] | Pakistan | Lower-resource | 18 | 3 | 16.7 |
In contrast, several cohorts from lower-resource settings reported substantially higher mortality, including 24% (Chowdhary, 2020, India), 40% (Jagdeesh Prasad, 2017, India), 69% (Gupta, 2018, India), and 83% (Chowdhury, 2020, Bangladesh) [Table 2b]. These differences are consistent with variation in referral timing, access to neonatal intensive care, perioperative support, and infection control infrastructure.
Mortality definitions and observation windows were not standardized across studies, with some reporting inhospital mortality, while others reported perioperative or unspecified postoperative mortality [Supplementary Table 2]. Consequently, direct quantitative comparison between studies should be interpreted cautiously.
Supplementary Table 2.
Mortality definitions and observation windows across included hospital-based studies
| Study | Country | Resource setting | Mortality definition reported | Observation window/time frame | Notes |
|---|---|---|---|---|---|
| Al-Jahdali, 2018 | UAE | Higher-resource | In-hospital mortality | During hospital admission | Mortality reported for neonatal surgical admission |
| Chiang, 2023 | Singapore | Higher-resource | Postoperative mortality | During follow-up after EA repair | Long-term cohort with structured follow-up |
| Kazemian, 2022 | Iran | Higher-resource | Early mortality | Not clearly specified | Reported as early deaths during treatment period |
| Shahri, 2021 | Iran | Higher-resource | In-hospital mortality | During admission | Based on hospital cohort |
| Lee, 2023 | Korea | Higher-resource | Mortality among surgical cases | Not specified | Derived from national surgical dataset |
| Lu, 2021 | Taiwan | Higher-resource | Mortality reported in cohort | Not clearly defined | Focus primarily on postoperative morbidity |
| Murase, 2015 | Japan | Higher-resource | Postoperative mortality | Not clearly defined | Study focused on stricture prevention |
| Muto, 2022 | Japan | Higher-resource | Early postoperative mortality | Not clearly specified | Patients with congenital heart disease included |
| Okuyama, 2018 | South Korea | Higher-resource | Surgical mortality | Perioperative | Thoracoscopic EA repair cohort |
| Sirichamratsakul, 2023 | Thailand | Higher-resource | Mortality among EA cases | Not specified | Registry-based congenital anomaly study |
| Syed, 2020 | Saudi Arabia | Higher-resource | Postoperative mortality | Early postoperative period | Focus on early complications |
| Zhang, 2020 | China | Higher-resource | Surgical mortality | Perioperative | Thoracoscopic repair cohort |
| Ahmed, 2018 | Pakistan | Lower-resource | Mortality among treated EA patients | Not clearly defined | Hospital cohort |
| Chowdhary, 2020 | India | Lower-resource | Mortality in EA with ARM | During hospital management | Mixed congenital anomaly cohort |
| Chowdhury, 2020 | Bangladesh | Lower-resource | Mortality among pediatric surgical patients | Not specified | EA subgroup extracted |
| Gupta, 2018 | India | Lower-resource | In-hospital mortality | During admission | High-volume tertiary center |
| Hatti, 2020 | India | Lower-resource | Early mortality | Perioperative | Study focused on long-gap EA |
| Jagdeesh, Prasad, 2017 | India | Lower-resource | Mortality during treatment | Hospital stay | District hospital cohort |
| Saleem, 2020 | Pakistan | Lower-resource | Mortality reported in surgical series | Not clearly defined | Esophageal replacement cohort |
EA: Esophageal atresia, ARM: Anorectal malformation
Morbidity and follow-up dependent outcome capture
Eleven studies reported morbidity outcomes in sufficient detail for extraction and were stratified according to resource setting and follow-up type [Table 3a and b]. A descriptive distribution of reported morbidity events within each resource group is presented in Table 4.
Table 3b.
Morbidity across studies in lower-resource settings
| Study (year) | Country | Resource setting | Follow-up type | Preoperative morbidity (n) | Intraoperative morbidity (n) | Postoperative morbidity (n) |
|---|---|---|---|---|---|---|
| Ahmed and Tareen, 2018[20] | Pakistan | Lower-resource | Includes follow-up | NR | NR | Early: Sepsis+pneumonia=13; anastomotic leak=3; aspiration pneumonia=1; pneumothorax=1; late: Regurgitation=6; dyspnea=2; stricture=4; GERD=2; tracheomalacia=1; hiatus hernia=1 |
| Gupta, 2018[28] | India | Lower-resource | Includes follow-up | NR | NR | Wound infection=11; pneumonia=11; wound dehiscence=9; septicemia=7; minor leak=3; major leak=1; GERD=3; readmission: Pneumonia=11; stricture=4; septicemia=2; tracheomalacia=1; minor leak=1; major leak=1 |
| Hatti et al., 2020[24] | India | Lower-resource | Perioperative only | NR | NR | Culture-positive sepsis=9 + 4; anastomotic leak=4 + 2 |
| Jagdeesh Prasad, 2017[25] | India | Lower-resource | Perioperative only | NR | NR | Septicemia=18; Leak=5 |
GERD: Gastroesophageal reflux disease, TEF: Tracheoesophageal fistula, NR: Not reported
Table 3a.
Morbidity across studies in higher-resource settings
| Study (year) | Country | Resource setting | Follow-up type | Preoperative morbidity (n) | Intraoperative morbidity (n) | Postoperative morbidity (n) |
|---|---|---|---|---|---|---|
| Chiang et al. (2023)[7] | Singapore | Higher-resource | Includes follow-up | NR | NR | Anastomotic stricture=20; leak=4; recurrent TEF=3; GERD=28; dysphagia=20; esophagitis=4; chronic cough=19; pneumonia=19; recurrent RTI=23; asthma/BHR=13; bronchiectasis=3; tracheomalacia=22 |
| Hattori et al., 2024[27] | Japan | Higher-resource | Includes follow-up | NR | NR | Anastomotic leak=5; recurrent fistula=2; stricture=8; fundoplication=7; scoliosis=3; chest wall asymmetry=5; rib deformity=7 |
| Lu et al., 2021[13] | Taiwan | Higher-resource | Includes follow-up | NR | NR | GERD=39; stricture (2 years postoperative)=22 |
| Murase et al., 2015[14] | Japan | Higher-resource | Includes follow-up | NR | NR | Anastomotic leak=2; GER=15 |
| Okuyama et al., 2018[16] | Japan | Higher-resource | Includes follow-up | NR | NR | Stricture=1; fundoplication (GERD)=2 |
| Syed et al., 2020[18] | Saudi Arabia | Higher-resource | Includes follow-up | NR | NR | GERD=6; septicemia=2; leak=2; lung collapse=1 |
| Zhang et al. (2020)[19] | China | Higher-resource | Includes follow-up | NR | NR | Severe pneumonia=8 + 23 (Groups A/B); poor wound healing=2 + 14; chest wall deformity=0 + 11; pneumothorax=8 + 7; leak=15+13; stenosis=19+23; GERD=4 + 2 |
TEF: Tracheoesophageal fistula, GERD: Gastroesophageal reflux disease, BHR: Bronchial hyperresponsiveness, RTI: Respiratory tract infection, NR: Not reported
Table 4.
Aggregated morbidity summary
| Morbidity category | Higher-resource, n (%) | Lower-resource, n (%) |
|---|---|---|
| Gastroesophageal reflux | 94 (26.4) | 5 (4.6) |
| Anastomotic stricture | 93 (26.2) | 8 (7.4) |
| Pneumonia | 50 (14.0) | 12 (11.1) |
| Anastomotic leak | 41 (11.5) | 18 (16.7) |
| Septicemia | 2 (0.6) | 51 (47.2) |
| Tracheomalacia | 22 (6.2) | 2 (1.9) |
| Recurrent respiratory tract infection | 23 (6.5) | 0 |
| Pneumothorax | 15 (4.2) | 1 (0.9) |
| Wound infection | 0 | 11 (10.2) |
| Poor wound healing | 16 (4.5) | 0 |
| Total morbidity events | 356 (100.0) | 108 (100.0) |
Percentages use the total number of reported morbidity events within each resource group as the denominator (higher-resource 356 events; lower-resource 108 events). Counts are derived from Table 3 and reflect reported events rather than patient-level risk; distributions are sensitive to heterogeneity in definitions, follow-up duration, and surveillance intensity
In higher-resource settings, the most frequently reported morbidity categories were gastroesophageal reflux (94 events, 26%) and anastomotic stricture (93 events, 26%), followed by pneumonia (50 events, 14%) and anastomotic leak (41 events, 11%). Respiratory sequelae such as recurrent respiratory tract infection (23 events, 7%) and tracheomalacia (22 events, 6%) were also reported [Table 4].
In lower-resource settings, reported morbidity events were dominated by septicemia (51 events, 47%), followed by anastomotic leak (18 events, 17%), pneumonia (12 events, 11%), and wound infection (11 events, 10%) [Table 4].
These aggregated proportions represent descriptive distributions of reported morbidity events rather than pooled prevalence estimates, because follow-up duration, surveillance intensity, and outcome definitions varied substantially across studies.
Population-based incidence
Six population-based studies reported incidence estimates for EA in Asian settings [Table 5]. Reported incidence ranged from 6.17 to 20.30 per 100,000 live births.
The lowest estimate was reported from Uzbekistan (6.17 per 100,000), while higher estimates were reported from China (20.30 per 100,000) and Korea (17.38 per 100,000). Intermediate estimates were reported from Iran (16.67 per 100,000) and China (16.50 per 100,000), while Thailand reported 8.80 per 100,000 live births.
Several incidence estimates were derived from small case counts in surveillance datasets, which may produce unstable rate estimates and should therefore be interpreted cautiously.
Risk-of-bias summary
Risk-of-bias assessment identified recurrent concerns related to selection and referral processes in hospital-based cohorts, incomplete capture of early neonatal deaths prior to referral or surgery, and differential detection of associated anomalies due to variation in diagnostic work-up. Long-term morbidity outcomes were additionally affected by loss to follow-up, which may lead to underestimation of later complications. Overall risk-of-bias judgments across domains are summarized in Figure 2, with study-level assessments presented in Supplementary Table 1.
DISCUSSION
This systematic narrative review synthesized 34 studies including 3304 infants with EA across Asian settings, separating population-based incidence estimates from hospital-based outcome cohorts to improve interpretability. Population-based incidence ranged from 6.17 to 20.30 per 100,000 live births, indicating substantial variation across countries and surveillance systems. Similar variability has been documented in other population-based studies, where reported incidence closely reflects registry coverage, inclusion criteria, and diagnostic ascertainment rather than true epidemiologic differences.[2,33] The wide range observed across Asian settings therefore likely reflects differences in surveillance completeness, prenatal detection, and case definition rather than biological variation. In addition, several incidence estimates were derived from small case counts within surveillance datasets, which may produce unstable rate estimates and should therefore be interpreted cautiously.
In hospital-based reporting, associated anomalies were common. Gastrointestinal anomalies comprised 36% of all reported associated anomalies, followed by cardiovascular anomalies at 27%, while multisystem patterns such as VACTERL association and other multisystem anomalies together accounted for more than 22% of reported anomalies. As anomaly counts were extracted as reported events across studies, these distributions represent the frequency of reported anomaly types rather than the prevalence of anomalies at the patient level. These distributions are consistent with findings from multiple regional cohorts, where 40%–60% of infants with EA have at least one associated anomaly, and cardiac defects are most frequently identified.[4,5,34] These findings reaffirm that EA is frequently part of a broader congenital disease spectrum and that the apparent anomaly profile is highly dependent on the intensity and completeness of diagnostic evaluation.
A key observation of this review was the wide range of reported mortality and morbidity across Asian settings, which should be interpreted in relation to health system factors affecting case capture, perioperative support, and follow-up rather than as intrinsic differences between the regions. Mortality in hospital-based cohorts ranged from 2% to 83%. Higher-resource settings consistently reported single-digit to low-teen mortality, comparable to outcomes reported in long-established tertiary centers where survival exceeds 85%–90%.[1] By contrast, substantially higher mortality was reported in several lower-resource cohorts, particularly from South Asia. Interpretation of mortality differences should also consider variation in reported mortality definitions and observation periods across studies, including inhospital, perioperative, and unspecified postoperative mortality.
Similar patterns have been documented in other LMIC settings, where mortality frequently exceeds 40%–50% and is strongly associated with delayed presentation, low birth weight, prematurity, and sepsis.[6,35,36] Importantly, early neonatal deaths prior to referral or surgery are often underrepresented in hospital-based series, potentially inflating apparent survival in referral centers and limiting cross-setting comparability.[3]
Morbidity profiles also differed across settings but were strongly influenced by follow-up duration and surveillance intensity. In higher-resource settings, reported morbidity was dominated by longer-term gastrointestinal and respiratory sequelae, including gastroesophageal reflux, anastomotic stricture, dysphagia, and recurrent respiratory tract infections. Long-term follow-up data from Singapore demonstrated that more than 60% of survivors experienced ongoing gastrointestinal or respiratory morbidity,[7] consistent with international reviews highlighting the chronic disease burden among survivors.[37] In contrast, lower-resource cohorts primarily reported early postoperative complications, with septicemia and wound infection accounting for a large proportion of morbidity events. This pattern is consistent with reports from neonatal surgical literature in lower-resource settings. As follow-up duration and surveillance intensity differed across studies, the reported morbidity distributions likely reflect differences in outcome capture rather than directly comparable complication rates.[38,39]
The observed burden of early infectious morbidity and high mortality in lower-resource cohorts supports prioritizing pragmatic system improvements across the continuum of care. Delayed presentation beyond 24–48 h of life has been consistently associated with increased mortality in EA and other neonatal surgical emergencies.[20,35] Strengthening referral pathways, neonatal transport, and early stabilization is therefore likely to yield substantial survival gains.
Standardization of perioperative care and infection prevention is another high-impact target. Sepsis remains the leading cause of neonatal surgical mortality in many Asian and African settings, accounting for up to 40%–50% of deaths.[40,41] Even modest improvements in perioperative protocols and neonatal intensive care access have been associated with dramatic reductions in mortality over time.[33]
Pragmatic action framework for low- and middle-income Asian settings
To facilitate translation into practice, we propose a pragmatic action framework for LMIC Asian settings, summarized in Figure 3. The framework integrates antenatal detection, neonatal stabilization and safe transport, standardized perioperative care, and longitudinal follow-up within enabling health-system structures.
Figure 3.

Action framework to reduce esophageal atresia morbidity and mortality in the Global South. EA: Esophageal atresia
Similar system-oriented interventions have been associated with reductions in anastomotic leak and mortality, including targeted perioperative adjuncts and improved neonatal intensive care support. The framework is intentionally modular, allowing phased implementation prioritizing early stabilization, infection prevention, and safe referral before expansion to comprehensive long-term follow-up. These findings should therefore be interpreted primarily as descriptive patterns across heterogeneous health system contexts rather than direct quantitative comparisons between the settings.
Study limitations
Several limitations constrain inference from the available evidence. Most included studies were hospital-based tertiary series and therefore vulnerable to referral and selection bias, with undercapture of early neonatal deaths prior to referral or surgery. Detection bias is likely in associated anomaly reporting due to variable diagnostic work-up, particularly for cardiac and genetic anomalies. Outcome definitions were heterogeneous, with inconsistent mortality time windows and follow-up duration, and long-term morbidity was susceptible to loss to follow-up. Incomplete reporting of key case-mix variables such as gestational age, birth weight, and disease severity further limits risk adjustment. Associated anomaly counts were also reported as aggregated events across studies; the proportion of infants with at least one associated anomaly could not be consistently determined. These limitations support descriptive synthesis and system-level interpretation rather than causal attribution of outcome differences between the settings.
Future directions
Future research should prioritize prospective, standardized multicenter registries capturing all diagnosed EA cases, including early deaths, with harmonized definitions for mortality and morbidity. Implementation research evaluating feasible bundles for neonatal stabilization, infection prevention, and safe transport in lower-resource settings is urgently needed, alongside sustainable follow-up programs to quantify long-term gastrointestinal and respiratory morbidity.
CONCLUSION
This systematic narrative review synthesized 34 Asian studies including 3304 infants with EA, separating population-based incidence estimates from hospital-based outcome cohorts. Population-based studies reported incidence ranging from 6.17 to 20.30 per 100,000 live births. Hospital-based reports showed frequent associated anomalies, most commonly gastrointestinal (36%) and cardiovascular (27%), and wide variation in mortality (2% to 83%), alongside substantial postoperative morbidity; higher-resource cohorts more often reported longer-term gastrointestinal and respiratory sequelae, while lower-resource cohorts reported a high proportion of early infectious complications including septicemia and wound infection.
These findings should be interpreted descriptively given referral and selection processes in tertiary series, incomplete capture of early deaths, variable anomaly detection, heterogeneous outcome definitions, and limited follow-up. Priorities to reduce preventable mortality and morbidity include strengthening prenatal detection and referral networks, improving neonatal stabilization and safe transport, standardizing perioperative care with infection prevention, and ensuring accessible long-term follow-up. The proposed action framework [Figure 3] summarizes pragmatic steps for implementation in resource-constrained Asian settings.
Conflicts of interest
There are no conflicts of interest.
Funding Statement
Nil.
REFERENCES
- 1.Höllwarth ME, Till H. Pediatric Surgery: General Principles and Newborn Surgery. Springer, Berlin, Germany: 2020. Esophageal atresia; pp. p. 661–80. [Google Scholar]
- 2.Gaol L, Firmansyah Y, Anita M. Prevalence of esophageal atresia as well as mortality outcomes based on prognostic criteria at Tarakan General Hospital from 2015 to 2021. Int J Surg Sci. 2021;5:91–5. [Google Scholar]
- 3.Ekenze SO, Ibeziako SN, Ezomike UO. Trends in neonatal intestinal obstruction in a developing country, 1996-2005. World J Surg. 2007;31:2405–9. doi: 10.1007/s00268-007-9206-0. [DOI] [PubMed] [Google Scholar]
- 4.Badran EF, Kamal W, Yaseen A, Abbad A, Al-Lawama M, Khdair Ahmad F, et al. Esophageal atresia: Associated anomalies, mortality, and morbidity in Jordan. Pediatr Int. 2020;62:1250–5. doi: 10.1111/ped.14311. [DOI] [PubMed] [Google Scholar]
- 5.Chang EY, Chang HK, Han SJ, Choi SH, Hwang EH, Oh JT. Clinical characteristics and treatment of esophageal atresia: A single institutional experience. J Korean Surg Soc. 2012;83:43–9. doi: 10.4174/jkss.2012.83.1.43. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Davari HA, Hosseinpour M, Nasiri GM, Kiani G. Mortality in esophageal atresia: Assessment of probable risk factors (10 years’ experience) J Res Med Sci. 2012;17:540–2. [PMC free article] [PubMed] [Google Scholar]
- 7.Chiang J, Yap TL, Arif S, Choo CS, Pugalenthi AK, Thomas B, et al. Gastro-esophageal and respiratory morbidity in children after esophageal atresia repair: A 23-year review from a single tertiary institution in Asia. Ann Pediatr Surg. 2023;19:19. [Google Scholar]
- 8.McGuinness LA, Higgins JP. Risk-of-bias VISualization (robvis): An R package and shiny web app for visualizing risk-of-bias assessments. Res Synth Methods. 2021;12:55–61. doi: 10.1002/jrsm.1411. [DOI] [PubMed] [Google Scholar]
- 9.Al-Jahdali F, Alsania MA, Almagushi AA, Alsaqqat MT, Alnamshan MK. Risk factors and short outcome of bowel atresia in neonates at Tertiary Hospital. Afr J Paediatr Surg. 2018;15:108–10. doi: 10.4103/ajps.AJPS_65_17. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Kazemian M, Fallahi M, Babaei G, Kazemian S, Tajalli S, Noripour S, et al. Predictors of early mortality in esophageal atresia: A 12-year cohort study in Tehran, Iran. Int J Pediatr. 2022;32:e129266. doi:10.5812/ijp-129266. [Google Scholar]
- 11.Mottaghi MSH, Soltan ZF, Afzoon S, Kianifar HR, Abbasi Z. Congenital heart defects in children with upper gastrointestinal anomalies. Iran J Neonatol. 2021;12:54–8. [Google Scholar]
- 12.Lee SM, Lee JA, Chung SH, Lee JH, Shim JW, Lim JW, et al. Nationwide long-term growth and developmental outcomes of infants for congenital anomalies in the digestive system and abdominal wall defects with surgery in Korea. J Korean Med Sci. 2023;38:e372. doi: 10.3346/jkms.2023.38.e372. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Lu YH, Yen TA, Chen CY, Tsao PN, Lin WH, Hsu WM, et al. Risk factors for digestive morbidities after esophageal atresia repair. Eur J Pediatr. 2021;180:187–94. doi: 10.1007/s00431-020-03733-1. [DOI] [PubMed] [Google Scholar]
- 14.Murase N, Uchida H, Kaneko K, Ono Y, Makita S, Yokota K. Prophylactic effect of H2 blocker for anastomotic stricture after esophageal atresia repair. Pediatr Int. 2015;57:461–4. doi: 10.1111/ped.12529. [DOI] [PubMed] [Google Scholar]
- 15.Muto M, Sugita K, Matsuba T, Kedoin C, Matsui M, Ikoma S, et al. How should we treat representative neonatal surgical diseases with congenital heart disease? Pediatr Surg Int. 2022;38:1235–40. doi: 10.1007/s00383-022-05178-z. [DOI] [PubMed] [Google Scholar]
- 16.Okuyama H, Tazuke Y, Ueno T, Yamanaka H, Takama Y, Saka R, et al. Learning curve for the thoracoscopic repair of esophageal atresia with tracheoesophageal fistula. Asian J Endosc Surg. 2018;11:30–4. doi: 10.1111/ases.12411. [DOI] [PubMed] [Google Scholar]
- 17.Sirichamratsakul K, Laochareonsuk W, Surachat K, Sangkhathat S. Population-based prevalence study of common congenital malformations of the alimentary tract and abdominal wall in Thailand: A study using data from the National Health Security Office. World J Pediatr Surg. 2023;6:e000540. doi: 10.1136/wjps-2022-000540. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Syed MK, Al Faqeeh AA, Othman A, Almas T, Khedro T, Alsufyani R, et al. Management of early post-operative complications of esophageal atresia with tracheoesophageal fistula: A retrospective study. Cureus. 2020;12:e11904. doi: 10.7759/cureus.11904. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Zhang J, Wu Q, Chen L, Wang Y, Cui X, Huang W, et al. Clinical analysis of surgery for type III esophageal atresia via thoracoscopy: A study of a Chinese single-center experience. J Cardiothorac Surg. 2020;15:55. doi: 10.1186/s13019-020-01097-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Ahmed S, Aurangzaib, Tareen HK, Baloch M, Zahidullah, et al. Risk stratification according to Waterston's classification in oesophageal atresia and tracheoesophageal fistula in a developing country. Asian J Res Surg. 2018;1:36–41. doi:10.9734/AJRS/2018/44331. [Google Scholar]
- 21.Chowdhary S, Panigrahi P, Kumar R. Five-year experience of anorectal malformation with oesophageal atresia in tertiary care hospital. Afr J Paediatr Surg. 2020;17:49–53. doi: 10.4103/ajps.AJPS_54_17. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Chowdhury TK, Kabir SM, Alam MA, Chowdhury MT, Khan R, Farhad T, et al. Prevalence and pattern of birth defects among pediatric surgical patients: A 12-year analysis in a tertiary-level Government Hospital in Bangladesh. Asian J Med Health. 2020;18:84–93. [Google Scholar]
- 23.Gupta L, Bhatnagar V. A study of associated congenital anomalies with biliary atresia. J Indian Assoc Pediatr Surg. 2016;21:10–3. doi: 10.4103/0971-9261.158095. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Hatti RB, Nyamagoudar AH, R Patil TG, Patil SJ, Patil RT, Pylla PR. Thirteen ribs and long gap oesophageal atresia: The embryological hypothesis for exploration. Afr J Paediatr Surg. 2020;17:99–103. doi: 10.4103/ajps.AJPS_72_19. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Prasad J. Factors contributing to mortality among patients with esophageal atresia and tracheoesophageal fistula in district Varanasi. Natl J Med Allied Sci. 2017;6:33–7. [Google Scholar]
- 26.Saleem M, Iqbal A, Ather U, Haider N, Talat N, Hashim I, et al. 14 Years’ experience of esophageal replacement surgeries. Pediatr Surg Int. 2020;36:835–41. doi: 10.1007/s00383-020-04649-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Hattori K, Kawashima H, Ishimaru T, Yanagida Y, Miyake K, Iguchi M, et al. Musculoskeletal deformities after thoracoscopic versus conventional open repair for esophageal atresia. Asian J Surg. 2024;47:968–72. doi: 10.1016/j.asjsur.2023.11.043. [DOI] [PubMed] [Google Scholar]
- 28.Gupta R. Esophageal atresia: Early outcome analysis from a high-volume tertiary care institute in India. Saudi J Health Sci. 2018;7:14–22. [Google Scholar]
- 29.Faal G, Abbasi R, Bijari B. The prevalence of major congenital anomalies among live births in Birjand, Iran. Mod Care J. 2018:15. [Google Scholar]
- 30.Song F, Chen J, Cai W. The prevalence of digestive tract defects in East China: A population-based study. Sci J Pediatr Child Care. 2022;1:1–8. [Google Scholar]
- 31.Ajimamatov KT, Toshboev SO, Toshmatov KZ, Sadikov NI ugli. Descriptive epidemiology of esophageal atresia in newborn. Art Med Int Med Sci J. 2023;3:211–27. [Google Scholar]
- 32.Yang X, Zeng J, Gu Y, Fang Y, Wei C, Tan S, et al. Birth defects data from hospital-based birth defect surveillance in Guilin, China, 2018-2020. Front Public Health. 2022;10:961613. doi: 10.3389/fpubh.2022.961613. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Kovačević T, Polić B, Markić J, Ardalić Čatipović T, Bucat M, Mikulić S, et al. Epidemiology and treatment outcomes in neonates with esophageal atresia: A 30-year population-based study. Healthcare (Basel) 2025;13:418. doi: 10.3390/healthcare13040418. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Seo J, Kim DY, Kim AR, Kim DY, Kim SC, Kim IK, et al. An 18-year experience of tracheoesophageal fistula and esophageal atresia. Korean J Pediatr. 2010;53:705–10. doi: 10.3345/kjp.2010.53.6.705. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Sharma S, More S, Laddha A, Lahoti BK. A prospective study outcome of surgical intervention of EA and TOF in neonates. Int J Surg Sci. 2019;3:463–6. doi:10.33545/surgery.2019.v3.i4h.287. [Google Scholar]
- 36.Moneme C, Selden O, Duru K, Twardus S, Gooding J, Habumufasha JP, et al. Management and outcomes of anorectal malformations at University Teaching Hospital of Kigali, Rwanda from 2015 to 2023. Res Sq. 2025:rs–3. [Google Scholar]
- 37.Almog A, Zani A. Postoperative complications and long-term outcomes of tracheoesophageal fistula repair. Curr Chall Thorac Surg. 2021;4:15. doi:10.21037/ccts-21-15. [Google Scholar]
- 38.Hasan MS, Islam N, Mitul AR. Neonatal surgical morbidity and mortality at a single tertiary center in a low- and middle-income country: A retrospective study of clinical outcomes. Front Surg. 2022;9:817528. doi: 10.3389/fsurg.2022.817528. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Siddharth V, Gupta SK, Agarwala S, Satpathy S, Goel P. Outcome of care provided in neonatal surgery intensive care unit of a public sector tertiary care teaching hospital of India. J Indian Assoc Pediatr Surg. 2019;24:257–63. doi: 10.4103/jiaps.JIAPS_177_18. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Katugume B, Muzungu J, Okello N, Kigongo E, Namutebi DA. Prevalence of neonatal sepsis and associated factors among neonates admitted in the neonatal intensive care unit at Lira Regional Referral Hospital, Northern Uganda. PLoS One. 2025;20:e0315794. doi: 10.1371/journal.pone.0315794. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Bakoush FB, Azab AE, Yahya R. Neonatal sepsis: Insight into incidence, classification, risk factors, causative organisms, pathophysiology, prognosis, clinical manifestations, complications, systemic examination, and treatment. South Asian Res J Appl Med Sci. 2023;5:136–57. [Google Scholar]
