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TRANSCOV Cohort Protocol: an Epidemiological Study Assessing the Impact of Critically Ill COVID-19 Patients Long Distance Transfers Between Intensive Care Units

Overview
Journal BMJ Open
Specialty General Medicine
Date 2021 Oct 22
PMID 34675022
Citations 2
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Abstract

Introduction: During spring 2020, four regions of France faced a surge of severe COVID-19 patients which threatened to overflow local intensive care units (ICU) capacities. As an emergency response, between 13 March 2020 and 10 April 2020, an estimated 661 patients were transferred from overcrowded ICUs to eight other French regions and four neighbouring countries. The intensity, geographical spread and the diversity of vectors used are unprecedented. The study aims at assessing the impact of these inter-ICU transfers on the short-term and medium-term physical and psychological outcomes in this population of severe COVID-19 patients.

Methods And Analysis: The TRANSCOV cohort is a multicentre observational retrospective study. All transferred patients between ICUs outside the origin region will be invited to take part. For each transfer, up to four control patients will be selected among those admitted in the same ICU during the same period (±4 days of transfer date). Clinical data will be extracted from medical records and will include haemodynamic and respiratory parameters, as well as clinical severity scores before, during and after transfer. Data linkage with medicoadministrative data will enrich the clinical database and allow follow-up up to 1 year after initial admission.

Ethics And Dissemination: The study has been approved by the French Ethics and Scientific Committee on the 16 July 2020 (file no. 2046524). The results will be disseminated via publication of scientific articles and communications in national and international conferences.

Trial Registration Number: 20 CO 015 CZ.

Citing Articles

Experiences of Inter-Hospital Transfers (IHT) by Patients and Relatives during the COVID-19 Pandemic in France: A Qualitative Study.

Chauliac N, Salome G, Cheucle J, Cochennec De Biase L, Galia P, Thomas A Int J Environ Res Public Health. 2023; 20(5).

PMID: 36901672 PMC: 10001538. DOI: 10.3390/ijerph20054660.


Usefulness of linked data for infectious disease events: a systematic review.

Field E, Strathearn M, Boyd-Skinner C, Dyda A Epidemiol Infect. 2023; 151:e46.

PMID: 36843485 PMC: 10052405. DOI: 10.1017/S0950268823000316.

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