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Congenital Upper Airway Malformations and Malacia in Infancy: Population-Based Prevalence, Sex Differences, and
Jefferson Antonio Buendía1, Diana Guerrero Patiño1
1Departamento de Farmacología y Toxicología, Facultad de Medicina, Grupo de Investigación en Farmacología y Toxicología, Universidad de Antioquia, Medellín, Colombia.
Insights
Congenital upper airway malformations and malacia affect many infants, with prevalence increasing annually. This study highlights the importance of population-based data for understanding these conditions in Colombia.
Area of Science:
- Pediatric Respiratory Medicine
- Epidemiology
- Public Health
Background:
- Congenital upper airway malformations and malacia cause significant infant respiratory issues.
- Population-based data on these conditions are limited, especially in Latin America.
- Existing studies often use single-center data, impacting generalizability.
Purpose of the Study:
- To determine the prevalence and trends of congenital upper airway malformations and malacia in Colombian infants.
- To analyze sex differences and specific diagnoses within these conditions.
- To assess the utility of administrative healthcare data for epidemiological surveillance.
Main Methods:
- Nationwide, retrospective, population-based study using Colombia's RIPS administrative healthcare database.
- Identified infants (<1 year) with ICD-10 diagnoses of congenital upper airway malformations/malacia (2016-2024).
- Calculated crude and age-standardized prevalence rates; analyzed temporal trends using Poisson regression.
Main Results:
- Identified 29,450 cases, with a crude prevalence of 263.0 and age-standardized prevalence of 23.1 per 100,000 children.
- Most common diagnoses included laryngomalacia, tracheomalacia, and nasal malformations.
- Prevalence was higher in females; a significant ~3% annual increase in malformations was observed, with varied diagnostic trends.
Conclusions:
- Congenital upper airway malformations and malacia pose a substantial and growing health burden in Colombian infants.
- Population-based administrative data offer crucial insights into disease frequency, sex disparities, and trends.
- These data are valuable for health system planning and epidemiological surveillance of infant respiratory conditions.
Background:
Congenital upper airway malformations and malacia are important causes of respiratory morbidity in early infancy, yet population-based epidemiological data remain scarce, particularly in Latin America. Most available estimates derive from single-centre cohorts, limiting generalizability and health system planning.
Methods:
We conducted a nationwide, retrospective, population-based study using Colombia's administrative healthcare database (RIPS). We identified healthcare encounters coded with ICD-10 diagnoses corresponding to congenital upper airway malformations and malacia among children younger than 1 year between 2016 and 2024. Crude and sex-specific prevalence rates were calculated per 100 000 children. Age-standardised prevalence rates were estimated using the WHO world standard population. Temporal trends were assessed using Poisson regression models with population offsets and visualised using LOESS smoothing.
Results:
A total of 29 450 cases were identified, corresponding to a national crude prevalence of 263.0 per 100 000 children and an age-standardised prevalence of 23.1 per 100 000. The most frequent diagnoses were congenital nasal septum perforation, laryngomalacia, tracheomalacia, and unspecified congenital nasal malformations. Overall prevalence was higher among females than males, although marked heterogeneity was observed across specific diagnoses. Temporal trend analysis demonstrated a significant annual increase of approximately 3% in upper airway malformations, with diagnosis-specific patterns showing increasing, stable, or decreasing trends over time.
Conclusions:
Congenital upper airway malformations and malacia represent a substantial and evolving burden in Colombian infants. Population-based administrative data provide valuable insights into disease frequency, sex differences and temporal trends, supporting their use for health system planning and epidemiological surveillance.
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