KMID : 0311120220630070675
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Yonsei Medical Journal 2022 Volume.63 No. 7 p.675 ~ p.682
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Initial Abdominal CT and Laboratory Findings Prior to Diagnosis of Crohn¡¯s Disease in Children
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Kang Cho-Eum
Yoon Hae-Sung Park So-Won Kim Ji-Soo Han Kyung-Hwa Kim Seung Koh Hong Lee Mi-Jung Shin Hyun-Joo
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Abstract
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Purpose: To identify initial abdominal computed tomography (CT) and laboratory findings prior to a diagnosis of Crohn¡¯s disease(CD) in children.
Materials and Methods: In this retrospective study, patients (¡Â18 year-old) who were diagnosed with CD from 2004 to 2019 andhad abdominal CT just prior to being diagnosed with CD were included in the CD group. Patients (¡Â18 years old) who were diag nosed with infectious enterocolitis from 2018 to 2019 and had undergone CT prior to being diagnosed with enterocolitis were in cluded as a control group. We assessed the diagnostic performances of initial CT and laboratory findings for the diagnosis of CDusing logistic regression and the area under the curve (AUC).
Results: In total, 107 patients (50 CD patients, 57 control patients) were included, without an age difference between groups (me dian 13 years old vs. 11 years old, p=0.119). On univariate logistic regression analysis, multisegmental bowel involvement, mesen teric vessel engorgement, higher portal vein/aorta diameter ratio, longer liver longitudinal diameter, lower hemoglobin (¡Â12.5 g/dL), lower albumin (¡Â4 g/dL), and higher platelet (>320¡¿103/¥ìL) levels were significant factors for CD. On multivariate analysis,multisegmental bowel involvement [odds ratio (OR) 111.6, 95% confidence interval (CI) 4.778?2605.925] and lower albumin levels(OR 0.9, 95% CI 0.891?0.993) were significant factors. When these two features were combined, the AUC value was 0.985 with asensitivity of 96% and specificity of 100% for differentiating CD.
Conclusion: Multisegmental bowel involvement on CT and decreased albumin levels can help differentiate CD from infectiousenterocolitis in children prior to a definite diagnosis of CD.
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KEYWORD
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Crohn disease, child, adolescent, early diagnosisl tomography, X-ray computed
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