{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,21]],"date-time":"2026-08-21T12:44:30Z","timestamp":1787316270142,"version":"build-2736575974"},"reference-count":31,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2025,1,9]],"date-time":"2025-01-09T00:00:00Z","timestamp":1736380800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"},{"start":{"date-parts":[[2025,1,9]],"date-time":"2025-01-09T00:00:00Z","timestamp":1736380800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Sci Rep"],"DOI":"10.1038\/s41598-024-83319-1","type":"journal-article","created":{"date-parts":[[2025,1,9]],"date-time":"2025-01-09T07:54:04Z","timestamp":1736409244000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Machine learning algorithms for predicting delayed hyponatremia after transsphenoidal surgery for patients with pituitary adenoma"],"prefix":"10.1038","volume":"15","author":[{"given":"Kunzhe","family":"Lin","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jianping","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lin","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Liangfeng","family":"Wei","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shousen","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,1,9]]},"reference":[{"issue":"4","key":"83319_CR1","doi-asserted-by":"publisher","first-page":"981","DOI":"10.1016\/j.ncl.2016.06.014","volume":"34","author":"KA McNeill","year":"2016","unstructured":"McNeill, K. A. Epidemiology of brain tumors. Neurol. Clin. 34(4), 981\u2013998 (2016).","journal-title":"Neurol. Clin."},{"key":"83319_CR2","doi-asserted-by":"crossref","unstructured":"Banskota, S. & Adamson, D. C. Pituitary adenomas: From diagnosis to therapeutics. Biomedicines 9(5) (2021).","DOI":"10.3390\/biomedicines9050494"},{"issue":"4","key":"83319_CR3","doi-asserted-by":"publisher","first-page":"2245","DOI":"10.1007\/s10143-020-01408-x","volume":"44","author":"VM Butenschoen","year":"2021","unstructured":"Butenschoen, V. M. et al. Visual acuity and its postoperative outcome after transsphenoidal adenoma resection. Neurosurg. Rev. 44(4), 2245\u20132251 (2021).","journal-title":"Neurosurg. Rev."},{"key":"83319_CR4","doi-asserted-by":"publisher","first-page":"87","DOI":"10.1016\/j.clineuro.2019.05.007","volume":"182","author":"KS Patel","year":"2019","unstructured":"Patel, K. S. et al. Prediction of post-operative delayed hyponatremia after endoscopic transsphenoidal surgery. Clin. Neurol. Neurosurg. 182, 87\u201391 (2019).","journal-title":"Clin. Neurol. Neurosurg."},{"issue":"1","key":"83319_CR5","doi-asserted-by":"publisher","first-page":"84","DOI":"10.1227\/NEU.0000000000001003","volume":"78","author":"MA Bohl","year":"2016","unstructured":"Bohl, M. A. et al. Delayed hyponatremia is the most common cause of 30-day unplanned readmission after transsphenoidal surgery for pituitary tumors. Neurosurgery 78(1), 84\u201390 (2016).","journal-title":"Neurosurgery"},{"issue":"1","key":"83319_CR6","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1007\/s12020-020-02247-y","volume":"69","author":"M Araujo-Castro","year":"2020","unstructured":"Araujo-Castro, M. et al. Postoperative management of patients with pituitary tumors submitted to pituitary surgery. Experience of a Spanish Pituitary Tumor Center of Excellence. Endocrine 69(1), 5\u201317 (2020).","journal-title":"Endocrine"},{"issue":"2","key":"83319_CR7","doi-asserted-by":"publisher","first-page":"340","DOI":"10.4103\/0028-3886.280637","volume":"68","author":"S Rajaratnam","year":"2020","unstructured":"Rajaratnam, S., Jeyaseelan, L. & Rajshekhar, V. Delayed hyponatremia following surgery for pituitary adenomas: An under-recognized complication. Neurol. India 68(2), 340\u2013345 (2020).","journal-title":"Neurol. India"},{"key":"83319_CR8","doi-asserted-by":"publisher","first-page":"e1457","DOI":"10.1016\/j.wneu.2018.11.085","volume":"122","author":"HK Yoon","year":"2019","unstructured":"Yoon, H. K., Lee, H. C., Kim, Y. H., Lim, Y. J. & Park, H. P. Predictive factors for delayed hyponatremia after endoscopic transsphenoidal surgery in patients with nonfunctioning pituitary tumors: A retrospective observational study. World Neurosurg. 122, e1457\u2013e1464 (2019).","journal-title":"World Neurosurg."},{"issue":"2","key":"83319_CR9","doi-asserted-by":"publisher","first-page":"312","DOI":"10.1007\/s12020-017-1415-1","volume":"58","author":"D Miljic","year":"2017","unstructured":"Miljic, D. et al. Impact of etiology, age and gender on onset and severity of hyponatremia in patients with hypopituitarism: retrospective analysis in a specialised endocrine unit. Endocrine 58(2), 312\u2013319 (2017).","journal-title":"Endocrine"},{"issue":"11","key":"83319_CR10","doi-asserted-by":"publisher","first-page":"2511","DOI":"10.1007\/s40618-021-01611-7","volume":"44","author":"K Lin","year":"2021","unstructured":"Lin, K. et al. Diaphragma sellae sinking can predict the onset of hyponatremia after transsphenoidal surgery for pituitary adenomas. J. Endocrinol. Invest. 44(11), 2511\u20132520 (2021).","journal-title":"J. Endocrinol. Invest."},{"key":"83319_CR11","doi-asserted-by":"publisher","first-page":"635795","DOI":"10.3389\/fendo.2021.635795","volume":"12","author":"W Zhang","year":"2021","unstructured":"Zhang, W. et al. Machine learning in preoperative prediction of postoperative immediate remission of histology-positive Cushing\u2019s disease. Front. Endocrinol. (Lausanne) 12, 635795 (2021).","journal-title":"Front. Endocrinol. (Lausanne)"},{"issue":"7","key":"83319_CR12","doi-asserted-by":"publisher","first-page":"952","DOI":"10.1530\/EC-19-0156","volume":"8","author":"N Qiao","year":"2019","unstructured":"Qiao, N. A systematic review on machine learning in sellar region diseases: quality and reporting items. Endocr. Connect. 8(7), 952\u2013960 (2019).","journal-title":"Endocr. Connect."},{"issue":"2","key":"83319_CR13","doi-asserted-by":"publisher","first-page":"412","DOI":"10.1007\/s12020-019-02121-6","volume":"67","author":"Y Fan","year":"2020","unstructured":"Fan, Y. et al. Development and assessment of machine learning algorithms for predicting remission after transsphenoidal surgery among patients with acromegaly. Endocrine 67(2), 412\u2013422 (2020).","journal-title":"Endocrine"},{"issue":"1","key":"83319_CR14","doi-asserted-by":"publisher","first-page":"e217","DOI":"10.1210\/clinem\/dgaa698","volume":"106","author":"Y Fan","year":"2021","unstructured":"Fan, Y. et al. Development of machine learning models for predicting postoperative delayed remission in patients with Cushing\u2019s disease. J. Clin. Endocrinol. Metab. 106(1), e217\u2013e231 (2021).","journal-title":"J. Clin. Endocrinol. Metab."},{"issue":"3","key":"83319_CR15","doi-asserted-by":"publisher","first-page":"201","DOI":"10.1159\/000496753","volume":"108","author":"Y Liu","year":"2019","unstructured":"Liu, Y. et al. Prediction of Recurrence after Transsphenoidal Surgery for Cushing\u2019s Disease: The Use of Machine Learning Algorithms. Neuroendocrinology 108(3), 201\u2013210 (2019).","journal-title":"Neuroendocrinology"},{"issue":"2","key":"83319_CR16","doi-asserted-by":"publisher","first-page":"263","DOI":"10.1227\/neu.0000000000001967","volume":"91","author":"BT Crabb","year":"2022","unstructured":"Crabb, B. T. et al. Machine Learning-Based Analysis and Prediction of Unplanned 30-Day Readmissions After Pituitary Adenoma Resection: A Multi-Institutional Retrospective Study With External Validation. Neurosurgery 91(2), 263\u2013271 (2022).","journal-title":"Neurosurgery"},{"issue":"4","key":"83319_CR17","doi-asserted-by":"publisher","first-page":"803","DOI":"10.3171\/2014.12.JNS141083","volume":"122","author":"AS Micko","year":"2015","unstructured":"Micko, A. S., W\u00f6hrer, A., Wolfsberger, S. & Knosp, E. Invasion of the cavernous sinus space in pituitary adenomas: endoscopic verification and its correlation with an MRI-based classification. J. Neurosurg. 122(4), 803\u2013811 (2015).","journal-title":"J. Neurosurg."},{"issue":"4","key":"83319_CR18","doi-asserted-by":"publisher","first-page":"707","DOI":"10.1007\/s00701-019-03818-3","volume":"161","author":"Y Tomita","year":"2019","unstructured":"Tomita, Y. et al. Delayed postoperative hyponatremia after endoscopic transsphenoidal surgery for pituitary adenoma. Acta Neurochir. 161(4), 707 (2019).","journal-title":"Acta NeurochirurgicaActa Neurochir."},{"key":"83319_CR19","doi-asserted-by":"publisher","first-page":"233","DOI":"10.1016\/j.wneu.2017.09.192","volume":"109","author":"G Alzhrani","year":"2018","unstructured":"Alzhrani, G., Sivakumar, W., Park, M. S., Taussky, P. & Couldwell, W. T. Delayed complications after transsphenoidal surgery for pituitary adenomas. World Neurosurg. 109, 233\u2013241 (2018).","journal-title":"World Neurosurg."},{"issue":"2","key":"83319_CR20","doi-asserted-by":"publisher","first-page":"340","DOI":"10.4103\/0028-3886.280637","volume":"68","author":"S Rajaratnam","year":"2020","unstructured":"Rajaratnam, S., Jeyaseelan, L. & Rajshekhar, V. Delayed hyponatremia following surgery for pituitary adenomas: An under-recognized complication. Neurol. India 68(2), 340 (2020).","journal-title":"Neurol. IndiaNeurol India"},{"key":"83319_CR21","doi-asserted-by":"crossref","unstructured":"Sorba, E. L. et al. Diabetes insipidus and syndrome of inappropriate antidiuresis (SIADH) after pituitary surgery: incidence and risk factors. Neurosurg. Rev. (2020).","DOI":"10.1007\/s10143-020-01340-0"},{"issue":"2","key":"83319_CR22","doi-asserted-by":"publisher","first-page":"121","DOI":"10.1016\/j.clineuro.2012.08.009","volume":"115","author":"M Schreckinger","year":"2013","unstructured":"Schreckinger, M., Szerlip, N. & Mittal, S. Diabetes insipidus following resection of pituitary tumors. Clin. Neurol. Neurosurg. 115(2), 121\u2013126 (2013).","journal-title":"Clin. Neurol. Neurosurg."},{"issue":"4","key":"83319_CR23","doi-asserted-by":"publisher","first-page":"707","DOI":"10.1007\/s00701-019-03818-3","volume":"161","author":"Y Tomita","year":"2019","unstructured":"Tomita, Y. et al. Delayed postoperative hyponatremia after endoscopic transsphenoidal surgery for pituitary adenoma. Acta Neurochir. (Wien) 161(4), 707\u2013715 (2019).","journal-title":"Acta Neurochir. (Wien)"},{"issue":"4","key":"83319_CR24","doi-asserted-by":"publisher","first-page":"431","DOI":"10.1046\/j.1365-2265.1999.00666.x","volume":"50","author":"J Hensen","year":"1999","unstructured":"Hensen, J. et al. Prevalence, predictors and patterns of postoperative polyuria and hyponatraemia in the immediate course after transsphenoidal surgery for pituitary adenomas. Clin. Endocrinol. (Oxf) 50(4), 431\u2013439 (1999).","journal-title":"Clin. Endocrinol. (Oxf)"},{"issue":"5","key":"83319_CR25","doi-asserted-by":"publisher","first-page":"543","DOI":"10.1007\/s11102-020-01056-w","volume":"23","author":"S Voglis","year":"2020","unstructured":"Voglis, S. et al. Feasibility of machine learning based predictive modelling of postoperative hyponatremia after pituitary surgery. Pituitary 23(5), 543\u2013551 (2020).","journal-title":"Pituitary"},{"issue":"2","key":"83319_CR26","doi-asserted-by":"publisher","first-page":"237","DOI":"10.1007\/s11102-023-01311-w","volume":"26","author":"Y Fuse","year":"2023","unstructured":"Fuse, Y. et al. Machine learning models predict delayed hyponatremia post-transsphenoidal surgery using clinically available features. Pituitary 26(2), 237\u2013249 (2023).","journal-title":"Pituitary"},{"key":"83319_CR27","doi-asserted-by":"publisher","first-page":"643","DOI":"10.3389\/fendo.2020.00643","volume":"11","author":"C Dai","year":"2020","unstructured":"Dai, C. et al. Development and interpretation of multiple machine learning models for predicting postoperative delayed remission of acromegaly patients during long-term follow-up. Front. Endocrinol. (Lausanne) 11, 643 (2020).","journal-title":"Front. Endocrinol. (Lausanne)"},{"key":"83319_CR28","doi-asserted-by":"crossref","unstructured":"Lin, X. et al. Prediction of surgical approach in mitral valve disease by XGBoost Algorithm based on echocardiographic features. J. Clin. Med. 12(3) (2023).","DOI":"10.3390\/jcm12031193"},{"key":"83319_CR29","doi-asserted-by":"crossref","unstructured":"Lee, C. C. et al. Incidence and factors associated with postoperative delayed hyponatremia after transsphenoidal pituitary surgery: A meta-analysis and systematic review. Int. J. Endocrinol. 2021, 6659152 (2021).","DOI":"10.1155\/2021\/6659152"},{"issue":"3","key":"83319_CR30","doi-asserted-by":"publisher","first-page":"349","DOI":"10.1002\/clc.23541","volume":"44","author":"TT Wu","year":"2021","unstructured":"Wu, T. T., Lin, X. Q., Mu, Y., Li, H. & Guo, Y. S. Machine learning for early prediction of in-hospital cardiac arrest in patients with acute coronary syndromes. Clin. Cardiol. 44(3), 349\u2013356 (2021).","journal-title":"Clin. Cardiol."},{"key":"83319_CR31","doi-asserted-by":"publisher","first-page":"116969","DOI":"10.1016\/j.jenvman.2022.116969","volume":"328","author":"S Iftikhar","year":"2023","unstructured":"Iftikhar, S. et al. Prediction and interpretation of antibiotic-resistance genes occurrence at recreational beaches using machine learning models. J. Environ. Manage. 328, 116969 (2023).","journal-title":"J. Environ. Manage."}],"container-title":["Scientific Reports"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.nature.com\/articles\/s41598-024-83319-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/s41598-024-83319-1","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/s41598-024-83319-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,9]],"date-time":"2025-01-09T08:05:19Z","timestamp":1736409919000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.nature.com\/articles\/s41598-024-83319-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,1,9]]},"references-count":31,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2025,12]]}},"alternative-id":["83319"],"URL":"https:\/\/doi.org\/10.1038\/s41598-024-83319-1","relation":{},"ISSN":["2045-2322"],"issn-type":[{"value":"2045-2322","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,1,9]]},"assertion":[{"value":"23 March 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"13 December 2024","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"9 January 2025","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no competing interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}},{"value":"The studies involving human participants were reviewed and approved by ethics committees of Fuzong Clinical Medical College of Fujian Medical University. The participants provided their written informed consent to participate in this study.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval"}}],"article-number":"1463"}}