Network approach to the child with primary intestinal failure.
Intestinal failure (IF) is a rare condition resulting from short gut and other heterogeneous intestinal diseases. Major centers in Italy merged in a national network to build common diagnostic and management approaches and to investigate the natural history of IF. Gastroenterological reference centers with specific expertise in intestinal morphology, diagnosis of autoimmune conditions, intestinal microbiology and parenteral nutrition were identified to act as consultants to the network. These centers of expertise provided specific diagnostic approaches while ensuring high technical standards. The approach allowed each center to learn from a larger cohort of patient samples. A database was set up to investigate etiology, epidemiology and natural history of IF. A common diagnostic algorithm for intractable diarrhea was designed. This process was largely based on electronic communication among centers and specimen shipping. Etiologic diagnosis was obtained in almost all cases of IF secondary to severe protracted diarrhea. The study of the natural history of IF showed a close association between etiology of IF and its outcome. The natural history of IF also provided the starting point for specific therapeutic approaches to its complications such as parenteral nutrition-associated cholestasis and catheter-related sepsis. The network approach to IF provides an effective model to optimize resources and prospectively investigate the natural history of IF, essential steps to design interventions, including intestinal transplantation and improve the outcome of IF.
De Marco
Giulio
G
Department of Pediatrics, University Federico II of Naples, Naples, Italy.
Barabino
Arrigo
A
Gambarara
Manuela
M
Diamanti
Antonella
A
Martelossi
Stefano
S
Guarino
Alfredo
A
D002648:Child; D002675:Child, Preschool; D003967:Diarrhea / Q000453:epidemiology / Q000209:etiology; D005769:Gastrointestinal Motility; D006801:Humans; D007223:Infant; D007410:Intestinal Diseases / Q000150:complications / Q000175:diagnosis / Q000453:epidemiology / Q000503:physiopathology / Q000628:therapy; D007558:Italy / Q000453:epidemiology; D016571:Neural Networks, Computer; D010288:Parenteral Nutrition / Q000009:adverse effects