Validation of ICDPIC software injury severity scores using a large regional trauma registry.

Greene, Nathaniel H

Kernic, Mary A

Vavilala, Monica S

Rivara, Frederick P

England

2015-05-26T19:00:11Z

2015-10

BACKGROUND: Administrative or quality improvement registries may or may not contain the elements needed for investigations by trauma researchers. International Classification of Diseases Program for Injury Categorisation (ICDPIC), a statistical program available through Stata, is a powerful tool that can extract injury severity scores from ICD-9-CM codes. We conducted a validation study for use of the ICDPIC in trauma research. METHODS: We conducted a retrospective cohort validation study of 40,418 patients with injury using a large regional trauma registry. ICDPIC-generated AIS scores for each body region were compared with trauma registry AIS scores (gold standard) in adult and paediatric populations. A separate analysis was conducted among patients with traumatic brain injury (TBI) comparing the ICDPIC tool with ICD-9-CM embedded severity codes. Performance in characterising overall injury severity, by the ISS, was also assessed. RESULTS: The ICDPIC tool generated substantial correlations in thoracic and abdominal trauma (weighted κ 0.87-0.92), and in head and neck trauma (weighted κ 0.76-0.83). The ICDPIC tool captured TBI severity better than ICD-9-CM code embedded severity and offered the advantage of generating a severity value for every patient (rather than having missing data). Its ability to produce an accurate severity score was consistent within each body region as well as overall. CONCLUSIONS: The ICDPIC tool performs well in classifying injury severity and is superior to ICD-9-CM embedded severity for TBI. Use of ICDPIC demonstrates substantial efficiency and may be a preferred tool in determining injury severity for large trauma datasets, provided researchers understand its limitations and take caution when examining smaller trauma datasets.

http://www.ncbi.nlm.nih.gov/pubmed/25985974

injuryprev-2014-041524

1475-5785

https://hdl.handle.net/10161/10182

eng

BMJ

Inj Prev

10.1136/injuryprev-2014-041524

Injury Diagnosis

Abbreviated Injury Scale

Area Under Curve

Female

Forms and Records Control

Humans

Injury Severity Score

International Classification of Diseases

Male

Outcome Assessment (Health Care)

Quality Improvement

Registries

Retrospective Studies

Software

Wounds and Injuries

Validation of ICDPIC software injury severity scores using a large regional trauma registry.

Journal article

Greene, Nathaniel H|0000-0003-0230-0499

http://www.ncbi.nlm.nih.gov/pubmed/25985974

325

330

5

Anesthesiology

Anesthesiology, Pediatrics

Clinical Science Departments

Duke

School of Medicine

Published

21