Evidence map›Paper›PMID 42050036›Full record

ArticlePituitary2026

COPeptin Evaluation in argininevasopressin Deficiency post transsphenoidal surgery (COPED study).

Fung Kuen Tam, Hiu Yan Chan, Ming Him Yuen, Hoi Kwan Calvin Mak, Mei Tik Stella Leung, Choi Yee Lau, Po Shan Judy Lai, Pak Lam Sammy Chen, Chi Chung Shek, Sze Wai Karen Lee and 3 more

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Article in Pituitary, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

13 authors.

Fung Kuen TamDepartment of Medicine, Queen Elizabeth Hospital, Hong Kong, China.
Hiu Yan ChanDepartment of Medicine, Queen Elizabeth Hospital, Hong Kong, China.
Ming Him YuenDepartment of Neurosurgery, Queen Elizabeth Hospital, Hong Kong, China.
Hoi Kwan Calvin MakDepartment of Neurosurgery, Queen Elizabeth Hospital, Hong Kong, China.
Mei Tik Stella LeungChemical Pathology Laboratory, Department of Clinical Pathology, Tuen Mun Hospital, Hong Kong, China.
Choi Yee LauChemical Pathology Laboratory, Department of Pathology, Queen Elizabeth Hospital, Hong Kong, China.
Po Shan Judy LaiChemical Pathology Laboratory, Department of Pathology, Queen Elizabeth Hospital, Hong Kong, China.
Pak Lam Sammy ChenChemical Pathology Laboratory, Department of Pathology, Queen Elizabeth Hospital, Hong Kong, China.
Chi Chung ShekChemical Pathology Laboratory, Department of Pathology, Queen Elizabeth Hospital, Hong Kong, China.
Sze Wai Karen LeeDepartment of Anesthesiology and Operating Theatre Services, Queen Elizabeth Hospital, Hong Kong, China.
Yew Chuan David ChongDepartment of Anesthesiology and Operating Theatre Services, Queen Elizabeth Hospital, Hong Kong, China.
Chiu Ming NgDepartment of Medicine, Queen Elizabeth Hospital, Hong Kong, China.
Cheung Hei ChoiDepartment of Medicine, Queen Elizabeth Hospital, Hong Kong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeCopeptin is an emerging biomarker for polyuria-polydipsia syndrome. Postoperative copeptin levels may predict acquired arginine vasopressin deficiency (AVP-D). This prospective study evaluated the diagnostic performance of serum copeptin for predicting postoperative AVP-D after transsphenoidal surgery (TSS).

methodsCopeptin was measured preoperatively, immediately after surgery (periextubation, T0), upon first ward arrival (T1), daily until discharge, and at week 2. Delta copeptin was calculated as the percentage change from T0 to T1.

resultsOf 53 patients, 23 (43.4%) developed AVP-D, including 4 (7.5%) permanent and 19 (35.8%) transient cases. The AVP-D group showed significantly lower delta copeptin (median  -38% vs. +66%, p < 0.001), day 2 (median 3.1 vs. 4.0 pmol/L, p = 0.021), and week 2 levels (median 2.5 vs. 3.2 pmol/L, p = 0.021) compared with the non-AVP-D group. Delta copeptin (area under the curve 0.826, p = 0.001) demonstrated the best diagnostic performance for AVP-D with an optimal cutoff of < -10% (sensitivity 100%, specificity 76.2%). All AVP-D patients exhibited negative delta copeptin. Week 2 copeptin (area under the curve 0.891, p = 0.011) predicted permanent AVP-D best with an optimal cutoff of < 2.6 pmol/L (sensitivity 100%, specificity 66.7%).

conclusionsDelta copeptin—the change in copeptin levels from T0 (periextubation) to T1 (2–4 h post-surgery)—predicted AVP-D after TSS. We recommend measuring copeptin immediately after surgery and repeat at 2–4 h. Patients with positive delta copeptin were unlikely to develop AVP-D. A copeptin value > 2.6 pmol/L at week 2 ruled out permanent AVP-D.

Indexed as

Arginine VasopressinGlycopeptidesAdultAgedBiomarkersFemaleHumansMaleMiddle AgedPituitary NeoplasmsProspective StudiesArginine VasopressinBiomarkerscopeptinsGlycopeptidesArginine vasopressin deficiencyCopeptinDelta copeptinTranssphenoidal surgery

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.