Machine learning models predict delayed hyponatremia post-transsphenoidal surgery using clinically available features
Author:
Publisher
Springer Science and Business Media LLC
Subject
Endocrinology,Endocrinology, Diabetes and Metabolism
Link
https://link.springer.com/content/pdf/10.1007/s11102-023-01311-w.pdf
Reference39 articles.
1. Kelly DF, Laws ER, Fossett D (1995) Delayed hyponatremia after transsphenoidal surgery for pituitary adenoma. Report of nine cases. J Neurosurg 83:363–367. https://doi.org/10.3171/JNS.1995.83.2.0363
2. Olson BR, Gumowski J, Rubino D, Oldfield EH (1997) Pathophysiology of hyponatremia after transsphenoidal pituitary surgery. J Neurosurg 87:499–507. https://doi.org/10.3171/jns.1997.87.4.0499
3. Lin K, Zeng R, Pei Z et al (2021) The difference between preoperative and postoperative pituitary stalk deviation angles can predict delayed hyponatremia after transsphenoidal surgery. World Neurosurg 155:e637–e645. https://doi.org/10.1016/j.wneu.2021.08.117
4. Hensen J, Henig A, Fahlbusch R et al (1999) Prevalence, predictors and patterns of postoperative polyuria and hyponatraemia in the immediate course after transsphenoidal surgery for pituitary adenomas. Clin Endocrinol (Oxf) 50:431–439. https://doi.org/10.1046/j.1365-2265.1999.00666.x
5. Younus I, Gerges MM, Dobri GA et al (2019) Readmission after endoscopic transsphenoidal pituitary surgery: analysis of 584 consecutive cases. J Neurol Surg 133:1242–1247. https://doi.org/10.3171/2019.7.JNS191558
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