• Alireza Sharifi, Peter H Hwang, Ali Kouhi, Mohaddeseh Zojaji, Mohammad E Ghaffari, and Sahar Ghaedsharaf.
• Department of Otolaryngology Head and Neck Surgery, Amir A'lam Hospital, Tehran University of Medical Sciences, Tehran, Iran; Otorhinolaryngology Research Center, Tehran University of Medical Sciences, Tehran, Iran.
• World Neurosurg. 2024 Oct 9.

PurposeEarly diagnosis of Diabetes insipidus (DI), a complication following pituitary surgery, can avoid the catastrophic results such as lethargy or even death. Measurement of Arginine vasopressin (AVP) may help the early diagnosis, but its direct assaying is challenging. Copeptin, which is co-secreted in equimolar quantities to AVP, is suggested to be a reliable marker in prediction of post-op DI. Therefore, this systematic review plus meta-analysis aims to discover this possible role.MethodsGoogle Scholar, PubMed, Scopus, Web of Science, Embase, and Cochrane library were systematically searched up to August 2024. The Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) and Problem/Population, Intervention, Comparison, and Outcome (PICO) guidelines were used. Two authors independently reviewed the eligible articles and assessed the quality of them. A meta-analysis was conducted to assess the discriminative performance of copeptin.ResultsIn total, 8 cohort studies including 1255 participants met the inclusion criteria. The median copeptin levels were significantly lower in DI groups compared to non-DI groups in all included studies (P < 0.005). Meta-analysis of AUCs demonstrated that early measurement of copeptin level had an accuracy of 0.791 (SE: 0.0198, 95% CI: 0.752 to 0.830), which was statistically significant (P < 0.001).ConclusionCopeptin level was significantly lower in DI patients than in non-DI patients who underwent pituitary surgery. Early measurement, as soon as possible (from the first hour to 48 hours after the operation), of copeptin after pituitary surgeries has good, but not excellent, accuracy to exclude post-op DI.Copyright © 2024 Elsevier Inc. All rights reserved.

6 keywords...

hide…