Urolithiasis pp 395-395 | Cite as

Mineral Metabolism and Bone Mineral Content in Calcium Nephrolithiasis with and without Hyperparathyroidism

  • L. Malvasi
  • L. Sartori
  • S. Giannini
  • M. Al-Awady
  • F. Musaio
  • S. Varotto
  • A. D’Angelo

Abstract

We undertook this study to compare different parameters of mineral metabolism and bone mineral content (BMC) in a population of patients affected by hypercalciuria and recurrent calcium nephrolithiasis (RCN) in the presence or absence of histologically-proven primary hyperparathyroidism (pHPT). We evaluated 20 patients (15 males and 5 females, age 24–68 years) with idiopathic hypercalciuria (381±123 mg Ca/day) and RCN. All but two patients had normal iPTH values (224±113 pg/ml), while the TmPO4/GFR was reduced in eight patients. In 11 patients, 1,25(OH)2D (48±19 pg/ml) was at the high-normal level. Urinary calcium excretion was directly related to urinary phosphate excretion (p<0.005) and iPTH (p<0.01). No correlation was found between hypercalciuria and ionized calcium, serum phosphate, alkaline phosphatase, 1,25(OH)2D, blood pH, FECa, and TmPO4/GFR. The BMC, measured by dual photon absorptiometry of the lumbar spine, was 0.88±0.15 g/cm2, which represents 88% of our control values. We compared these patients with a group of 13 patients affected by pHPT and RCN (10 males and 3 females, age 20–70 years) characterized by iPTH and 1,25(OH)2D values of 613±276 pg/ml and 26±10 pg/ml, respectively, and a slightly higher degree of hypercalciuria (436±146 mg Ca/day). The BMC (0.79±0.18 g/cm2) was 84% of the control value. Urinary calcium excretion was increased in males as compared to females as far as the hypercalciuric group was concerned (414±125 vs. 281±23 mg Ca/day, p<0.05), while no difference was found in the pHPT group (461±150 vs. 429±156 mg Ca/day).

Keywords

Alkaline Phosphatase Lumbar Spine Bone Mineral Content Similar Degree Female Population 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Copyright information

© Springer Science+Business Media New York 1989

Authors and Affiliations

  • L. Malvasi
    • 1
  • L. Sartori
    • 1
  • S. Giannini
    • 1
  • M. Al-Awady
    • 1
  • F. Musaio
    • 2
  • S. Varotto
    • 1
  • A. D’Angelo
    • 1
  1. 1.Institute of Internal MedicineUniversity of PaduaPaduaItaly
  2. 2.Institute of Clinica Chirurgica IIUniversity of PaduaPaduaItaly

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