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Development and Validation of a Prognostic Model for Persistent Hypoparathyroidism After Total or Completion
Sam P J van Dijk1, Carolien C H M Maas2,3, Ali Alshangi1
1Department of Surgical Oncology and Gastrointestinal Surgery, Erasmus MC Cancer Institute, Rotterdam, the Netherlands.
Summary
A new model predicts persistent hypoparathyroidism after thyroidectomy. Key predictors include post-surgery parathyroid hormone (PTH) levels, calcium, and intraoperative parathyroid identification, aiding risk assessment.
Area of Science:
- Endocrinology
- Surgical Oncology
- Clinical Prediction Modeling
Background:
- Persistent hypoparathyroidism is a potential complication following thyroidectomy.
- Accurate prediction of this complication is crucial for patient management.
Purpose of the Study:
- To develop and validate a clinical prediction model for persistent hypoparathyroidism post-thyroidectomy.
- To identify key predictors of this complication.
Main Methods:
- Multicenter retrospective cohort study.
- Inclusion of 366 patients undergoing total or completion thyroidectomy (Jan 2010 - June 2021).
- Multivariable logistic regression analysis to identify predictors.
Main Results:
- 12.0% of patients developed persistent hypoparathyroidism.
- Predictors included post-operative ΔPTH, corrected calcium, and intraoperative parathyroid identification.
- Model demonstrated excellent discriminative ability (C-index: 0.88).
Conclusions:
- A validated clinical prediction model can assess individual patient risk.
- The model aids in identifying patients at high risk for persistent hypoparathyroidism after thyroidectomy.
