Prediction of recurrence and remission within 3 years in patients with Cushing disease after successful transnasal adenomectomy
Some laboratory and clinical features are associated with a probability of recurrence after transnasal adenomectomy for Cushing disease (CD). However, there is no consensus on a set of predictors. Rules for prediction of recurrence were not proposed earlier.
To develop prediction model of recurrence/remission after successful neurosurgical treatment for CD.
Retrospective single-site comparative study included 349 patients (52 men and 297 women) with a verified diagnosis of CD who underwent effective endoscopic transsphenoidal adenomectomy between 2007 and 2014. Clinical and laboratory parameters were evaluated. Laboratory tests were performed using immunochemiluminescent method. Time-to-event analysis and ROC-analysis were applied. Multivariate models were developed using logistic regression and artificial neural network (ANN).
Postoperative cortisol and ACTH levels and their combinations cannot be used for prediction of recurrence. ANN for prediction of recurrence within 3 years after successful surgery was developed. Input variables are age, duration of the disease, MRI data on adenoma, morning postoperative levels of ACTH and cortisol, output variable is binary (recurrence/remission). Predictive value for remission is 93%, 95% CI [89%; 96%], and predictive value for recurrence is 85%, 95% CI [71%; 94%]. Web-calculator based on the model is developed and free for use.
Effective method for prediction of recurrence and long-term remission within 3 years after successful endoscopic transsphenoidal adenomectomy is proposed.
KeywordsCushing disease Neuroendoscopy Pituitary ACTH hypersecretion Recurrence Remission Prediction Neural network Web calculator
The authors thank M.S. Antyukh for programming the web calculator.
Compliance with ethical standards
Conflict of interest
All authors on this manuscript have declared that they have no conflict of interest.
The study protocol was approved by the Local Ethical Committee of the Endocrinology Research Centre.
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