BACKGROUND: Focused parathyroidectomy is a safe technique for the treatment of primary hyperparathyroidism. The CaPTHUS score and the Wisconsin index are preoperative diagnostic tools designed to distinguish between single- and multigland disease. The aim of the study is to evaluate the usefulness of these models for predicting multiglandular disease in a European population. METHODS: Retrospective review of a database of patients operated upon for primary hyperparathyroidism at a referral center. The sensitivity, specificity, positive and negative predictive values, and reliability of both scores for the prediction of multiglandular disease, were calculated. Receiver operating characteristic (ROC) curves were constructed to assess the sensitivity and specificity of CaPTHUS score and Wisconsin Index for predicting single-gland disease. A level of P<0.05 was accepted as significant. RESULTS: Two hundred and eighty-one patients who underwent successful surgery from January 2001 to December 2018 were included. Single-gland disease was detected in 92.5%, and 73.7% had a CaPTHUS score of ≥3. The sensitivity, specificity, positive and negative predictive values of this model for predicting single-gland disease with a score of ≥3 were 76.9%, 66.7%, 96.6%, and 18.9% respectively. The area under the curve value of the CaPTHUS score for predicting single-gland disease was 0.74. A Wisconsin Index >2,000 and an excised gland weight above one gram presented a positive predictive value for single-gland disease of 92.5%. CONCLUSIONS: Despite the good performance of both scales, the established cut-off points did not definitively rule out parathyroid multiglandular disease in our population. In cases with a minimal suspicion of this condition, additional intraoperative techniques must be used, or bilateral neck explorations should be performed. 2021 Gland Surgery. All rights reserved.
BACKGROUND: Focused parathyroidectomy is a safe technique for the treatment of primary hyperparathyroidism. The CaPTHUS score and the Wisconsin index are preoperative diagnostic tools designed to distinguish between single- and multigland disease. The aim of the study is to evaluate the usefulness of these models for predicting multiglandular disease in a European population. METHODS: Retrospective review of a database of patients operated upon for primary hyperparathyroidism at a referral center. The sensitivity, specificity, positive and negative predictive values, and reliability of both scores for the prediction of multiglandular disease, were calculated. Receiver operating characteristic (ROC) curves were constructed to assess the sensitivity and specificity of CaPTHUS score and Wisconsin Index for predicting single-gland disease. A level of P<0.05 was accepted as significant. RESULTS: Two hundred and eighty-one patients who underwent successful surgery from January 2001 to December 2018 were included. Single-gland disease was detected in 92.5%, and 73.7% had a CaPTHUS score of ≥3. The sensitivity, specificity, positive and negative predictive values of this model for predicting single-gland disease with a score of ≥3 were 76.9%, 66.7%, 96.6%, and 18.9% respectively. The area under the curve value of the CaPTHUS score for predicting single-gland disease was 0.74. A Wisconsin Index >2,000 and an excised gland weight above one gram presented a positive predictive value for single-gland disease of 92.5%. CONCLUSIONS: Despite the good performance of both scales, the established cut-off points did not definitively rule out parathyroid multiglandular disease in our population. In cases with a minimal suspicion of this condition, additional intraoperative techniques must be used, or bilateral neck explorations should be performed. 2021 Gland Surgery. All rights reserved.
Authors: Scott M Wilhelm; Tracy S Wang; Daniel T Ruan; James A Lee; Sylvia L Asa; Quan-Yang Duh; Gerard M Doherty; Miguel F Herrera; Janice L Pasieka; Nancy D Perrier; Shonni J Silverberg; Carmen C Solórzano; Cord Sturgeon; Mitchell E Tublin; Robert Udelsman; Sally E Carty Journal: JAMA Surg Date: 2016-10-01 Impact factor: 14.766
Authors: John P Bilezikian; Maria Luisa Brandi; Richard Eastell; Shonni J Silverberg; Robert Udelsman; Claudio Marcocci; John T Potts Journal: J Clin Endocrinol Metab Date: 2014-08-27 Impact factor: 5.958
Authors: Dmitrii M Buzanakov; Ilya V Sleptsov; Arseny A Semenov; Roman A Chernikov; Konstantin Y Novokshonov; Yulia V Karelina; Natalya I Timofeeva; Anna A Uspenskaya; Viktor A Makarin; Igor K Chinchuk; Elisey A Fedorov; Natalya A Gorskaya; Ilya V Sablin; Yuriy N Malugov; Svetlana A Alekseeva; Ksenya A Gerasimova; Alexander A Pushkaruk; Mikhail V Lyubimov; Dina V Rebrova; Shamil S Shikhmagomedov; Timur A Dzhumatov; Anna V Zolotoukho; Alexander N Bubnov Journal: Langenbecks Arch Surg Date: 2022-10-17 Impact factor: 2.895
Authors: Loredana De Pasquale; Eleonora Lori; Antonio Mario Bulfamante; Giovanni Felisati; Luca Castellani; Alberto Maria Saibene Journal: Int J Endocrinol Date: 2021-10-11 Impact factor: 3.257