0000000000940998

AUTHOR

Luca Paolino

showing 1 related works from this author

Prediction of bone mass gain by bone turnover parameters after parathyroidectomy for primary hyperparathyroidism: neural network software statistical…

2006

Background Primary hyperparathyroidism (pHPT) is the most frequent endocrine hypersecretion disease, and parathyroidectomy is the only curative option, since pharmacologic therapy reduces hypercalcemia but does not impede parathyroid hormone hypersecretion. According to guidelines from the National Institutes of Health, parathyroidectomy is associated with bone mass increase in some asymptomatic patients, while in others bone mass is not changed after surgery. Therefore, we performed the present study in an attempt to elucidate whether a preoperative biochemical bone parameter can be predictive of a significant vertebral bone mass increase in patients with pHPT. Methods For each patient we …

Parathyroidectomymedicine.medical_specialtymedicine.medical_treatmentUrinary systemUrologyParathyroid hormoneCollagen Type Ibone mass bone mineralization bone turnoverBone remodelingBone DensityHumansMedicineAgedAged 80 and overParathyroidectomyHyperparathyroidismbiologybusiness.industryMiddle AgedHyperparathyroidism Primarymedicine.diseaseUrinary calciumSurgeryOsteocalcinbiology.proteinSurgeryBone RemodelingNeural Networks ComputerPeptidesbusinessPrimary hyperparathyroidismSurgery
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