Factors predicting hypocalcemia after total thyroidectomy - A retrospective cohort analysis
Claudius Falch1, Jan Hornig1, Moritz Senne1
1Working Group for Surgical Technique and Training, Clinic for Visceral, General and Transplant Surgery, Tuebingen University Hospital, Germany.
International Journal of Surgery (London, England)
|May 20, 2018
Summary
Hypocalcemia, a common complication after total thyroidectomy, can be predicted by factors like female gender and longer surgery. Symptomatic initial hypocalcemia strongly predicts persistent low calcium levels requiring long-term treatment.
Area of Science:
- Endocrinology
- Surgical Oncology
- Metabolic Disorders
Background:
- Hypocalcemia is the most frequent complication following total thyroidectomy, often leading to extended hospital stays.
- Identifying predictive risk factors for hypocalcemia and its persistence is crucial for patient management.
Purpose of the Study:
- To analyze clinical risk factors associated with initial hypocalcemia after total thyroidectomy.
- To investigate predictors of long-term persistent hypocalcemia post-thyroidectomy.
Main Methods:
- Retrospective analysis of 702 patients who underwent total thyroidectomy between 2005 and 2013.
- Initial hypocalcemia defined as serum calcium < 2.0 mmol/l within 48 hours post-surgery.
- Persistent hypocalcemia defined as serum calcium < 2.0 mmol/l at six months or requiring supplementation.
Main Results:
- Initial hypocalcemia occurred in 22.8% of patients; 6.8% had persistent hypocalcemia.
- Symptomatic initial hypocalcemia was a significant predictor of persistent hypocalcemia (41.8% vs. 14.5%).
- Risk factors for initial hypocalcemia included female gender, prolonged surgery (>189 min), and parathyroid reimplantation.
Conclusions:
- Prolonged surgery time correlates with initial hypocalcemia but not its persistence.
- Initial symptomatic hypocalcemia is a strong independent predictor of persistent hypocalcemia after total thyroidectomy.
Related Concept Videos
Predicting Molecular Geometry
46.1K
VSEPR Theory for Determination of Electron Pair Geometries
46.1K
Prediction Intervals
3.4K
The interval estimate of any variable is known as the prediction interval. It helps decide if a point estimate is dependable.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.
3.4K
Transcription Factors
82.9K
Tissue-specific transcription factors contribute to diverse cellular functions in mammals. For example, the gene for beta globin, a major component of hemoglobin, is present in all cells of the body. However, it is only expressed in red blood cells because the transcription factors that can bind to the promoter sequences of the beta globin gene are only expressed in these cells. Tissue-specific transcription factors also ensure that mutations in these factors may impair only the function of...
82.9K
Sensitivity, Specificity, and Predicted Value
1.4K
In healthcare diagnostics, laboratory tests play a crucial role in identifying and diagnosing a wide range of medical conditions. However, interpreting test results is not always straightforward. An abnormal test result does not always confirm the presence of a disease, just as a normal result does not guarantee its absence. To assess the reliability of these diagnostic tools, healthcare practitioners rely on two key statistical indicators: sensitivity and specificity.
Sensitivity is the...
Sensitivity is the...
1.4K
End Point Prediction: Gran Plot
1.2K
A Gran plot is used to predict the equivalence volume or endpoint of a potentiometric or acid-base titration without reaching the endpoint. Typically, titration data is collected as a function of the titrant's volume up to a point less than the equivalence volume and then transformed into a linear format. The straight line is extended to the x-axis, indicating the necessary titrant volume to achieve the equivalence point.
For potentiometric titration, the Gran plot is created by plotting...
For potentiometric titration, the Gran plot is created by plotting...
1.2K
Electrolytes: van't Hoff Factor
37.0K
Colligative Properties of Electrolytes
The colligative properties of a solution depend only on the number, not on the identity, of solute species dissolved. The concentration terms in the equations for various colligative properties (freezing point depression, boiling point elevation, osmotic pressure) pertain to all solute species present in the solution. Nonelectrolytes dissolve physically without dissociation or any other accompanying process. Each molecule that dissolves yields one...
The colligative properties of a solution depend only on the number, not on the identity, of solute species dissolved. The concentration terms in the equations for various colligative properties (freezing point depression, boiling point elevation, osmotic pressure) pertain to all solute species present in the solution. Nonelectrolytes dissolve physically without dissociation or any other accompanying process. Each molecule that dissolves yields one...
37.0K


