OPTimal IMAging strategy in patients suspected of non-traumatic pulmonary disease at the emergency department: chest X-ray or ultra-low-dose chest CT (OPTIMACT) trial-statistical analysis plan.


Journal

Trials
ISSN: 1745-6215
Titre abrégé: Trials
Pays: England
ID NLM: 101263253

Informations de publication

Date de publication:
14 May 2020
Historique:
received: 19 11 2019
accepted: 24 04 2020
entrez: 16 5 2020
pubmed: 16 5 2020
medline: 26 1 2021
Statut: epublish

Résumé

A chest X-ray is a standard imaging procedure in the diagnostic work-up of patients suspected of having non-traumatic pulmonary disease. Compared to a chest X-ray, an ultra-low-dose (ULD) chest computed tomography (CT) scan provides substantially more detailed information on pulmonary conditions. To what extent this translates into an improvement in patient outcomes and health care efficiency is yet unknown. The OPTimal IMAging strategy in patients suspected of non-traumatic pulmonary disease at the emergency department: chest X-ray or ultra-low-dose chest CT (OPTIMACT) study is a multicenter, pragmatic, non-inferiority randomized controlled trial designed to evaluate replacement of chest X-ray by ULD chest CT in the diagnostic work-up of such patients, in terms of patient-related health outcomes and costs. During randomly assigned periods of 1 calendar month, either conventional chest X-ray or ULD chest CT scan was used as the imaging strategy. This paper presents in detail the statistical analysis plan of the OPTIMACT trial, developed prior to data analysis. Functional health at 28 days is the primary clinical outcome. Functional health at 28 days is measured by the physical component summary scale of the Short Form (SF)-12 questionnaire version 1. Secondary outcomes are mental health (mental component summary scale of the SF-12), length of hospital stay, mortality within 28 days, quality-adjusted life year equivalent during the first 28 days (derived from the EuroQol five-dimension, five-level instrument), correct diagnoses at emergency department discharge as compared to the final post hoc diagnosis at day 28, number of patients in follow-up because of incidental findings on chest X-ray or ULD chest CT, and health care costs. After this pragmatic trial we will have precise estimates of the effectiveness of replacing chest X-ray with ULD chest CT in terms of patient-related health outcomes and costs. Netherlands National Trial Register: NTR6163. Registered on 6 December 2016.

Sections du résumé

BACKGROUND BACKGROUND
A chest X-ray is a standard imaging procedure in the diagnostic work-up of patients suspected of having non-traumatic pulmonary disease. Compared to a chest X-ray, an ultra-low-dose (ULD) chest computed tomography (CT) scan provides substantially more detailed information on pulmonary conditions. To what extent this translates into an improvement in patient outcomes and health care efficiency is yet unknown. The OPTimal IMAging strategy in patients suspected of non-traumatic pulmonary disease at the emergency department: chest X-ray or ultra-low-dose chest CT (OPTIMACT) study is a multicenter, pragmatic, non-inferiority randomized controlled trial designed to evaluate replacement of chest X-ray by ULD chest CT in the diagnostic work-up of such patients, in terms of patient-related health outcomes and costs. During randomly assigned periods of 1 calendar month, either conventional chest X-ray or ULD chest CT scan was used as the imaging strategy. This paper presents in detail the statistical analysis plan of the OPTIMACT trial, developed prior to data analysis.
METHODS/RESULTS RESULTS
Functional health at 28 days is the primary clinical outcome. Functional health at 28 days is measured by the physical component summary scale of the Short Form (SF)-12 questionnaire version 1. Secondary outcomes are mental health (mental component summary scale of the SF-12), length of hospital stay, mortality within 28 days, quality-adjusted life year equivalent during the first 28 days (derived from the EuroQol five-dimension, five-level instrument), correct diagnoses at emergency department discharge as compared to the final post hoc diagnosis at day 28, number of patients in follow-up because of incidental findings on chest X-ray or ULD chest CT, and health care costs.
CONCLUSIONS CONCLUSIONS
After this pragmatic trial we will have precise estimates of the effectiveness of replacing chest X-ray with ULD chest CT in terms of patient-related health outcomes and costs.
TRIAL REGISTRATION BACKGROUND
Netherlands National Trial Register: NTR6163. Registered on 6 December 2016.

Identifiants

pubmed: 32410657
doi: 10.1186/s13063-020-04343-w
pii: 10.1186/s13063-020-04343-w
pmc: PMC7227355
doi:

Types de publication

Clinical Trial Protocol Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

407

Subventions

Organisme : ZonMw
ID : 843001806

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Auteurs

Maadrika M N P Kanglie (MMNP)

Department of Radiology and Nuclear Medicine, Amsterdam UMC, location AMC, University of Amsterdam, P.O. Box 22660, 1100 DD, Amsterdam, the Netherlands. m.m.kanglie@amsterdamumc.nl.

Shandra Bipat (S)

Department of Radiology and Nuclear Medicine, Amsterdam UMC, location AMC, University of Amsterdam, P.O. Box 22660, 1100 DD, Amsterdam, the Netherlands.

Inge A H van den Berk (IAH)

Department of Radiology and Nuclear Medicine, Amsterdam UMC, location AMC, University of Amsterdam, P.O. Box 22660, 1100 DD, Amsterdam, the Netherlands.

Tjitske S R van Engelen (TSR)

Center of Experimental and Molecular Medicine, Amsterdam UMC, University of Amsterdam, P.O. Box 22660, 1100 DD, Amsterdam, the Netherlands.

Marcel G W Dijkgraaf (MGW)

Department of Clinical Epidemiology, Biostatics and Bioinformatics, Amsterdam UMC, location AMC, University of Amsterdam, P.O. Box 22660, 1100 DD, Amsterdam, the Netherlands.

Jan M Prins (JM)

Department of Internal Medicine, Amsterdam UMC, University of Amsterdam, P.O. Box 22660, 1100 DD, Amsterdam, the Netherlands.

Jaap Stoker (J)

Department of Radiology and Nuclear Medicine, Amsterdam UMC, location AMC, University of Amsterdam, P.O. Box 22660, 1100 DD, Amsterdam, the Netherlands.

Patrick M M Bossuyt (PMM)

Department of Clinical Epidemiology, Biostatics and Bioinformatics, Amsterdam UMC, location AMC, University of Amsterdam, P.O. Box 22660, 1100 DD, Amsterdam, the Netherlands.

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Classifications MeSH