title: An algorithmic approach to diagnosis of hypoglycemia.
abstract: An algorithm has been devised to facilitate the diagnostic approach to the causes of hypoglycemia. This systematic approach enables the physician to reach the final diagnosis in a logical way without subjecting the child to unnecessary and possibly hazardous investigations. The algorithm is based on the following measurements as required by each patient: concentrations of blood glucose, lactate, ketone bodies, and glucose-regulating hormones. These measurements are performed with the patient in the fasting state and after loading tests (glycerol and galactose) as needed. If indicated, an enzymatic test is performed to establish the final diagnosis. Eighteen children aged 1 month to 7 years who had persistent or recurrent hypoglycemia have been examined according to this algorithm. The correct diagnosis was arrived at in 17 patients. The diagnosis was not reached in one neonate who had glucose-6-phosphatase deficiency and initially did not have lactic acidosis; once lactic acidosis developed, his illness fitted perfectly into the algorithm.
mesh_terms: D000465:Algorithms; D002648:Child; D002675:Child, Preschool; D003937:Diagnosis, Differential; D006801:Humans; D007003:Hypoglycemia / Q000097:blood / Q000175:diagnosis* / Q000652:urine; D007223:Infant; D007657:Ketone Bodies / Q000097:blood / Q000652:urine; D012008:Recurrence
chemical_list: D007657:Ketone Bodies