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National Databases in Pediatric Orthopaedic Surgery: A Comparison of Demographics, Procedures, and Outcomes
Ilya M Gutman1, Thomas E Niemeier, Shawn R Gilbert
1Children's of Alabama, Department of Orthopaedic Surgery, University of Alabama at Birmingham, Birmingham, AL.
Insights
Pediatric orthopaedic surgery outcomes differ significantly between the Kids' Inpatient Database (KID) and the National Surgical Quality Improvement Program Pediatric (NSQIP Pediatric) database. Researchers must understand these database disparities for accurate patient representation.
Area of Science:
- Orthopaedic Surgery
- Health Services Research
- Pediatric Healthcare
Background:
- Large national databases are crucial for analyzing adverse events and surgical outcomes in pediatric populations.
- Evaluating rare events like 30-day mortality is a key application of these databases.
- No prior studies have compared pediatric orthopaedic data across different national databases.
Purpose of the Study:
- To compare the Kids' Inpatient Database (KID) and the American College of Surgeons National Surgical Quality Improvement Program Pediatric (NSQIP Pediatric) databases.
- To identify differences in patient characteristics and complication rates for common pediatric orthopaedic procedures.
Main Methods:
- The KID and NSQIP Pediatric databases were queried for pediatric orthopaedic procedures including humeral fractures, scoliosis, slipped capital femoral epiphysis, and femoral fractures.
- Patient demographics, clinical characteristics, and complications were compared using statistical tests (Student t test, χ², Fisher's exact test).
- Study design: Level III, prognostic study.
Main Results:
- A total of 26,978 patients from KID and 5,186 from NSQIP Pediatric were analyzed.
- Significant differences were found in age, race, sex, and length of stay between the two databases for identical procedures.
- NSQIP Pediatric reported statistically higher cumulative complication rates, with surgical site infections and sepsis at least twice as common compared to KID.
Conclusions:
- The KID and NSQIP Pediatric databases exhibit clinically and statistically significant differences.
- Researchers and clinicians must be aware of variations in data import, quality control, and sampling when using these large databases.
- Understanding these differences is essential for accurate population representation and reliable research findings.
Background:
Large national databases have been increasingly used in recent years to determine the rate of adverse events and identify factors associated with altered surgical outcomes. This can be especially useful to evaluate rare events such as 30-day mortality. Despite differences between national pediatric databases, there have been no comparison studies in the pediatric orthopaedic population.
Methods:
The Healthcare Cost and Utilization Project's Kids' Inpatient Database (KID) along with the American College of Surgeons National Surgical Quality Improvement Program Pediatric (NSQIP Pediatric) databases were queried to identify common pediatric orthopaedic procedures for humeral fractures, scoliosis, slipped capital femoral epiphysis, and femoral fractures during a single year. Clinical characteristics and complications in the 2 databases were compared using Student t test, χ, or Fisher' exact test.
Results:
In total, 26,978 patients in the KID and 5186 patients in the NSQIP Pediatric databases were identified. Large differences were observed between the databases in identical procedure categories with respect to age, race, sex, and length of stay. Regardless of procedure, NSQIP Pediatric had statistically higher reported rates of cumulative complications. Surgical site infections and sepsis were consistently observed to be at least twice as common in the NSQIP Pediatric database in comparison to the KID. Overall, complication rates ranged from <1% in humeral fractures to >100% in neuromuscular scoliosis.
Conclusions:
Clinically and statistically significant differences exist between the KID and NSQIP Pediatric databases. Clinicians and researchers who utilize large databases must understand the differences in data import, quality control, and population sampling in order to provide adequate representation of the population as a whole.
Level Of Evidence:
Level III, prognostic study.
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