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Radiographic predictors of disease severity in neonates and infants with necrotizing enterocolitis.

Publication ,  Journal Article
Coursey, CA; Hollingsworth, CL; Wriston, C; Beam, C; Rice, H; Bisset, G
Published in: AJR Am J Roentgenol
November 2009

OBJECTIVE: The objective of our study was to validate a radiographic scale, the Duke abdominal assessment scale (DAAS), as a tool for predicting the severity of disease in neonates and infants with suspected necrotizing enterocolitis (NEC). MATERIALS AND METHODS: Study group patients (n = 43) underwent at least two two-view abdominal radiographic series within 48 hours of surgical intervention for suspected NEC complications. Control group patients (n = 86) were patients with suspected NEC who did not undergo surgery for suspected NEC complications. DAAS scores were assigned by two pediatric radiologists with 20 and 6 years' experience. RESULTS: The initial radiographs of 26 of 43 (60.5%) patients in the study group showed fixed bowel loops (10/43, 23.3%), highly probable or definite pneumatosis (9/43, 20.9%), or portal venous gas (7/43, 16.3%). These findings had progressed to pneumoperitoneum on the follow-up series in 20 (46.5%) study group patients. Among the control group, three patients (3.5%) had highly probable or definite pneumatosis, and none had fixed bowel loops, portal venous gas, or pneumoperitoneum. Patients with higher DAAS scores were more likely to undergo surgical intervention than patients with lower scores (odds ratio, 1.69; 95% CI, 1.40-2.03). A receiver operating characteristic curve analysis showed good overall performance (c statistic = 0.83) for predicting eventual surgical intervention in the study group with higher DAAS scores. CONCLUSION: The DAAS provides a standardized 10-point radiographic scale that increases with disease severity when using need for surgical intervention as a surrogate for severe NEC. For every 1-point increase in the DAAS score, patients were statistically significantly more likely to have severe disease as measured by need for surgical intervention.

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Published In

AJR Am J Roentgenol

DOI

EISSN

1546-3141

Publication Date

November 2009

Volume

193

Issue

5

Start / End Page

1408 / 1413

Location

United States

Related Subject Headings

  • Statistics, Nonparametric
  • Severity of Illness Index
  • Radiography, Abdominal
  • Nuclear Medicine & Medical Imaging
  • Male
  • Logistic Models
  • Infant, Newborn
  • Infant
  • Humans
  • Female
 

Citation

APA
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ICMJE
MLA
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Coursey, C. A., Hollingsworth, C. L., Wriston, C., Beam, C., Rice, H., & Bisset, G. (2009). Radiographic predictors of disease severity in neonates and infants with necrotizing enterocolitis. AJR Am J Roentgenol, 193(5), 1408–1413. https://doi.org/10.2214/AJR.08.2306
Coursey, Courtney A., Caroline L. Hollingsworth, Cooper Wriston, Craig Beam, Henry Rice, and George Bisset. “Radiographic predictors of disease severity in neonates and infants with necrotizing enterocolitis.AJR Am J Roentgenol 193, no. 5 (November 2009): 1408–13. https://doi.org/10.2214/AJR.08.2306.
Coursey CA, Hollingsworth CL, Wriston C, Beam C, Rice H, Bisset G. Radiographic predictors of disease severity in neonates and infants with necrotizing enterocolitis. AJR Am J Roentgenol. 2009 Nov;193(5):1408–13.
Coursey, Courtney A., et al. “Radiographic predictors of disease severity in neonates and infants with necrotizing enterocolitis.AJR Am J Roentgenol, vol. 193, no. 5, Nov. 2009, pp. 1408–13. Pubmed, doi:10.2214/AJR.08.2306.
Coursey CA, Hollingsworth CL, Wriston C, Beam C, Rice H, Bisset G. Radiographic predictors of disease severity in neonates and infants with necrotizing enterocolitis. AJR Am J Roentgenol. 2009 Nov;193(5):1408–1413.

Published In

AJR Am J Roentgenol

DOI

EISSN

1546-3141

Publication Date

November 2009

Volume

193

Issue

5

Start / End Page

1408 / 1413

Location

United States

Related Subject Headings

  • Statistics, Nonparametric
  • Severity of Illness Index
  • Radiography, Abdominal
  • Nuclear Medicine & Medical Imaging
  • Male
  • Logistic Models
  • Infant, Newborn
  • Infant
  • Humans
  • Female