Cost-effectiveness of postoperative imaging surveillance strategies for nonfunctional pituitary adenomas after resection with curative intent.

cost-effectiveness follow-up nonfunctional pituitary adenomas pituitary surgery recurrence surveillance

Journal

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

Informations de publication

Date de publication:
01 11 2023
Historique:
received: 24 08 2022
accepted: 10 02 2023
medline: 7 11 2023
pubmed: 6 11 2023
entrez: 3 11 2023
Statut: epublish

Résumé

The aim of this study was to determine an optimal follow-up imaging surveillance strategy in terms of cost-effectiveness after resection of nonfunctioning pituitary adenomas with curative intent. An individual-level state-transition microsimulation model was used to simulate costs and outcomes associated with three postoperative imaging strategies over a lifetime time horizon: 1) annual MRI surveillance, 2) tapered MRI surveillance (annual surveillance for 5 years followed by surveillance every 2 years), and 3) personalized surveillance (annual surveillance for 5 years followed by surveillance every 2 years when MRI shows remnant disease/postoperative changes, and surveillance at 7, 10, and 15 years for disease-free MRI). Transition probabilities, utilities, and costs were estimated from recent published data and discounted by 3% annually. Model outcomes included lifetime costs (2022 US dollars), quality-adjusted life-years (QALYs), and incremental cost-effectiveness ratios (ICERs). Under base case assumptions, annual surveillance yielded higher costs and lower health effects (QALYs) compared with the tapered and personalized surveillance strategies (dominated). Personalized surveillance demonstrated an additional 0.1 QALY at additional cost ($1298) compared with tapered surveillance (7.7 QALYs at a cost of $12,862). The ICER was $11,793/QALY. The optimal decision was most sensitive to the probability of postoperative changes on MRI after surgery and MRI cost. Accounting for parameter uncertainty, personalized surveillance had a higher probability of being a cost-effective surveillance option compared with the alternative strategies at 79%. Using standard cost-effectiveness thresholds in the US ($100,000/QALY), personalized surveillance that accounted for remnant disease or postoperative changes on MRI was cost-effective compared with alternative surveillance strategies.

Identifiants

pubmed: 37922550
doi: 10.3171/2023.2.JNS221903
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1207-1215

Auteurs

Lisa Caulley (L)

Departments of1Otolaryngology-Head and Neck Surgery.
2Clinical Epidemiology Program, The Ottawa Hospital Research Institute, Ottawa, Ontario, Canada.
Departments of3Epidemiology.
4Department of Clinical Medicine, Aarhus University, Aarhus, Denmark.

Stijntje W Dijk (SW)

5Epidemiology and Biostatistics.
6Radiology and Nuclear Medicine, Erasmus University Medical Center Rotterdam, The Netherlands.

Eline Krijkamp (E)

5Epidemiology and Biostatistics.

Selina X Dong (SX)

7Undergraduate Medicine, and.

Fahad Alkherayf (F)

8Department of Neurosurgery, University of Ottawa, The Ottawa Hospital Research Institute, Ottawa, Ontario, Canada.

Liza Amrani (L)

7Undergraduate Medicine, and.

Mary-Anne Doyle (MA)

2Clinical Epidemiology Program, The Ottawa Hospital Research Institute, Ottawa, Ontario, Canada.
9Medicine, Endocrinology and Metabolism, University of Ottawa.

Anas Eid (A)

10Schulich School of Medicine & Dentistry, Western University, London, Ontario, Canada.

Stephanie Johnson-Obaseki (S)

Departments of1Otolaryngology-Head and Neck Surgery.
2Clinical Epidemiology Program, The Ottawa Hospital Research Institute, Ottawa, Ontario, Canada.

Michel Khoury (M)

11Department of Otolaryngology-Head and Neck Surgery, University of Montréal, Québec, Canada.

Janine Malcolm (J)

9Medicine, Endocrinology and Metabolism, University of Ottawa.

Dorsa Mavedatnia (D)

7Undergraduate Medicine, and.

Nick Sahlollbey (N)

7Undergraduate Medicine, and.

David Schramm (D)

Departments of1Otolaryngology-Head and Neck Surgery.
2Clinical Epidemiology Program, The Ottawa Hospital Research Institute, Ottawa, Ontario, Canada.

Jonathan Whelan (J)

Departments of1Otolaryngology-Head and Neck Surgery.

Kednapa Thavorn (K)

2Clinical Epidemiology Program, The Ottawa Hospital Research Institute, Ottawa, Ontario, Canada.
12School of Epidemiology and Public Health, University of Ottawa, Ontario, Canada; and.

Shaun Kilty (S)

Departments of1Otolaryngology-Head and Neck Surgery.
2Clinical Epidemiology Program, The Ottawa Hospital Research Institute, Ottawa, Ontario, Canada.

Myriam G M Hunink (MGM)

5Epidemiology and Biostatistics.
13Center for Health Decision Sciences, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.

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