Development and validation of riskprediction models for permanenthypocalcemia after totalthyroidectomy in patients withpapillary thyroid carcinoma

This study develops and validates risk prediction models for permanent hypocalcemia following total thyroidectomy (TT) in patients with papillary thyroid carcinoma (PTC). Hypocalcemia is a common complication of TT, impacting post-surgical quality of life.

Key Findings:

  • Study Population: Data from 92 patients with PTC undergoing TT were analyzed.
  • Risk Factors Identified: Univariate and multivariate analyses found significant correlations between permanent hypocalcemia and parathyroid hormone (PTH), calcium (Ca), and phosphorus (P) levels at postoperative month 1.
  • Two Predictive Models:
    • Model 1: Uses IM PTH, IM Ca, and IM P levels for risk assessment.
    • Model 2: Incorporates tumor, node, metastasis (TNM) staging in addition to the indicators in Model 1.
  • Performance Metrics:
  • Both models demonstrated high predictive accuracy, with areas under the curve (AUCs) above 0.80 in training and validation sets.
  • Calibration curves showed good agreement between predicted and actual hypocalcemia incidence.

Conclusion:

Model 1 is simpler and more clinically practical, enabling early identification of high-risk patients, ensuring timely intervention and appropriate calcium supplementation strategies. These findings provide valuable guidance for postoperative care and improving long-term patient outcomes.

Scientific Reports

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