A Scoring System to Predict the Severity of Hirschsprung Disease at Diagnosis and its Correlation with Molecular Genetics.

OBJECTIVES: Hirschsprung disease (HSCR) has a wide range of severity. There are non-severe forms treated conservatively until surgery and severe forms that require an early stoma and prolonged hospitalization. Our objective was to establish a clinical scoring system to predict the severity of HSCR and to evaluate the possible existence of a clinical-genetic correlation.

METHODS: We carried out a retrospective observational study including all HSCR cases treated in our hospital. The sample was divided into severe and non-severe disease according to the number of surgical procedures, hospitalization time and episodes of enterocolitis. The proposed score was applied at diagnosis, and the sensitivity, specificity and optimal cut-point were determined. We conducted a prospective molecular study of RET, EDNRB and EDN3 on all patients, as well as SOX10 in Waardenburg Syndrome type 4 forms.

RESULTS: Among the 42 patients treated between 1983 and 2013, 15 met the severe disease criteria. This group had a higher mean score (13.15±2.36) than the non-severe group (8.15±2.13; p<0.001). A score {greater than or equal to}11 had a sensitivity of 87% and a specificity of 81% in detecting the severe cases. Causative mutations were identified in 12 patients, 8 of them in the severe group (p=0.015). Most of these mutations (75%) were located in the RET proto-oncogene.

CONCLUSION: The proposed scoring system enables the early selection of patients with severe behaviour of HSCR. A value {greater than or equal to}11 showed good sensitivity and specificity for this purpose. Causative mutations were identified in more than 50% of patients who met the criteria for severe disease.