Exploring classification of birth defects severity in national hospital discharge databases compared to an active
Jennifer L Matas1, Denny Fe G Agana1, George J Germanos1
1Department of Family and Community Medicine, Baylor College of Medicine, Houston, Texas.
Insights
Severity of illness (SOI) and risk of mortality (ROM) measures in national databases effectively differentiate birth defect severity. These findings align with existing surveillance programs, enhancing data analysis for public health initiatives.
Area of Science:
- Pediatrics
- Public Health
- Medical Informatics
Background:
- Birth defects represent a significant public health concern.
- Accurate severity assessment is crucial for resource allocation and patient care.
- National discharge databases offer a potential source for large-scale severity analysis.
Purpose of the Study:
- To determine if Severity of Illness (SOI) and Risk of Mortality (ROM) measures in national inpatient databases can differentiate the severity of various birth defects.
- To compare these measures against existing severity classifications from a birth defects registry.
Main Methods:
- Utilized data from the 2012-14 National Inpatient Sample (NIS).
- Identified hospitalizations with major birth defects using ICD-9-CM codes.
- Calculated mean/median SOI and ROM, mortality rates, and agreement with the Texas Birth Defects Registry (TBDR).
Main Results:
- Mean SOI ranged from 1.5 (cleft lip) to 3.7 (single ventricle); mean ROM from 1.1 (cleft lip) to 3.9 (anencephaly).
- Critical congenital heart defects exhibited the highest mean SOI and ROM.
- Strong agreement was found between NIS severity classifications (SOI/ROM Levels 3-4) and TBDR severity classifications.
Conclusions:
- National discharge data, using SOI and ROM, can effectively differentiate birth defect severity.
- This approach shows promise for enhancing birth defect surveillance and analysis.
- Findings support the integration of these measures into existing public health surveillance algorithms.
Objective:
To explore the extent to which the severity of birth defects could be differentiated using severity of illness (SOI) and risk of mortality (ROM) measures available in national discharge databases.
Methods:
Data from the 2012-14 National Inpatient Sample (NIS) was used to identify hospitalizations with one or more major birth defects reported annually to the National Birth Defects Prevention Network using the International Classification of Diseases, Ninth Edition, Clinical Modification (ICD-9-CM) diagnosis codes. Each hospitalization also contained a 4-level SOI and 4-level ROM classification measure. For each birth defect and for each individual birth defect-related ICD-9-CM code, we calculated mean and median SOI and ROM, the proportion of hospitalizations in each level of SOI and ROM, the inpatient mortality rate, and level of agreement between various existing or derived severity proxies in the NIS and the Texas Birth Defects Registry (TBDR).
Results:
Mean SOI ranged from 1.5 (cleft lip alone) to 3.7 (single ventricle), and mean ROM ranged from 1.1 (cleft lip alone) to 3.9 (anencephaly). As a group, critical congenital heart defects had the highest average number of co-occurring defects, mean SOI, and ROM, whereas orofacial and genitourinary defects had the lowest SOI and ROM. We found strong levels of agreement between TBDR severity classifications and NIS severity classifications defined using Level 3 or 4 SOI or ROM Level 3 or 4.
Conclusions:
This preliminary investigation demonstrated how severity indices of birth defects could be differentiated and compared to a severity algorithm of an existing surveillance program.
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