Postsurgical utility of copeptin for the prediction of postoperative arginine vasopressin deficiency.

arginine vasopressin copeptin diabetes insipidus pituitary surgery

Journal

Journal of neurosurgery
ISSN: 1933-0693
Titre abrégé: J Neurosurg
Pays: United States
ID NLM: 0253357

Informations de publication

Date de publication:
10 Nov 2023
Historique:
received: 15 03 2023
accepted: 24 08 2023
medline: 10 11 2023
pubmed: 10 11 2023
entrez: 10 11 2023
Statut: aheadofprint

Résumé

Arginine vasopressin deficiency (AVD) following neurosurgical procedures for pituitary disorders is common and can delay discharge. Copeptin, a stable surrogate marker of arginine vasopressin, may predict postoperative AVD. The authors' aim was to assess the optimal postoperative sampling time and cut-point concentration of copeptin to predict the development of postsurgical AVD. Adults without preexisting AVD who were undergoing surgery for a pituitary lesion between February 2020 and April 2022 were eligible for study inclusion. Two samples were drawn from each patient postoperatively to assess the copeptin concentration using an immunofluorescent assay. Samples were denoted as "early" (within 6 hours of extubation) or "postoperative day 1" (POD1; within 10-30 hours of extubation). Patients were evaluated for the development of AVD. One hundred ninety-two patients (54.2% female) with a median age of 54.5 years (IQR 39.8-67.0 years) were included in the study. The median copeptin concentration at both time points was significantly lower in those with AVD (transient or permanent; n = 22, 11.5%) than in those without (early: 4.9 vs 18.7 pmol/L, p < 0.001; POD1: 3.4 vs 4.9 pmol/L, p < 0.001) but did not differ in those who developed transient versus permanent AVD. The optimal copeptin cut point for the prediction of AVD was < 8.5 pmol/L for early samples (sensitivity 0.70, specificity 0.80, positive predictive value [PPV] 0.29, negative predictive value [NPV] 0.96) and < 4.3 pmol/L for POD1 samples (sensitivity 0.82, specificity 0.63, PPV 0.22, NPV 0.96). In early samples, a copeptin cutoff of 22.9 pmol/L increased the sensitivity for the detection of AVD to 95% with an NPV of 99%. The proportion of patients who had AVD was higher (60.0% vs 8.8%, p < 0.001) and the copeptin concentration lower (early: 4.3 vs 17.0 pmol/L, p < 0.001; POD1: 2.7 vs 4.9 pmol/L, p < 0.001) among those who had undergone surgery for a craniopharyngeal duct pathology versus a pituitary adenoma. Although copeptin was lower in patients with persistent Cushing's disease than in those in remission, the difference did not reach statistical significance (early p = 0.11, POD1 p = 0.52). Furthermore, the copeptin concentration could not predict the development of syndrome of inappropriate secretion of antidiuretic hormone. Patients without AVD who had received stress dose steroids intraoperatively had lower median early copeptin (11.7 vs 19.1 pmol/L, p = 0.027). In early postoperative copeptin samples, the optimal copeptin cut point for AVD diagnosis was < 8.5 pmol/L, and a level > 22.9 pmol/L had predicative utility in excluding AVD. Caution should be used when interpreting copeptin results, as patients administered glucocorticoids intraoperatively without AVD had lower median copeptin concentrations.

Identifiants

pubmed: 37948691
doi: 10.3171/2023.8.JNS23418
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1-9

Auteurs

Diane Donegan (D)

1Department of Medicine, Division of Endocrinology Diabetes and Metabolism, Indiana University, Indianapolis, Indiana.
6Division of Endocrinology, Diabetes, Metabolism and Nutrition, Mayo Clinic, Rochester, Minnesota.

Joshua Bornhorst (J)

Departments of2Laboratory Medicine and Pathology.

Jamie Van Gompel (J)

3Neurosurgery.
4Otolaryngology, and.

John Atkinson (J)

3Neurosurgery.
4Otolaryngology, and.

J P Theobald (JP)

Departments of2Laboratory Medicine and Pathology.

Fredric F Meyer (FF)

3Neurosurgery.
4Otolaryngology, and.

Michael J Link (MJ)

3Neurosurgery.
4Otolaryngology, and.

Maria Peris-Celda (M)

3Neurosurgery.
4Otolaryngology, and.

Grant Spears (G)

5Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota; and.

Dana Erickson (D)

6Division of Endocrinology, Diabetes, Metabolism and Nutrition, Mayo Clinic, Rochester, Minnesota.

Classifications MeSH