2022
DOI: 10.1016/j.lanepe.2022.100441
|View full text |Cite
|
Sign up to set email alerts
|

Characteristics associated with the residual risk of severe COVID-19 after a complete vaccination schedule: A cohort study of 28 million people in France

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
25
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
6
2

Relationship

3
5

Authors

Journals

citations
Cited by 20 publications
(25 citation statements)
references
References 30 publications
0
25
0
Order By: Relevance
“…However, the sensitivity analysis of the vaccination periods did not reveal any significant differences from the main results. In addition, Semenzato et al 2,3 reported an increased risk of severe COVID-19 in SOTRs during the first wave in 2020 and a residual risk in the period after vaccination. Belatacept, a hospital-based immunosuppressant, was not included in our analyses because its reimbursement data are not provided in the SNDS.…”
Section: Strengths and Limitationsmentioning
confidence: 99%
“…However, the sensitivity analysis of the vaccination periods did not reveal any significant differences from the main results. In addition, Semenzato et al 2,3 reported an increased risk of severe COVID-19 in SOTRs during the first wave in 2020 and a residual risk in the period after vaccination. Belatacept, a hospital-based immunosuppressant, was not included in our analyses because its reimbursement data are not provided in the SNDS.…”
Section: Strengths and Limitationsmentioning
confidence: 99%
“…With the growing interest of the scientific medical community in real-world data from large administrative healthcare databases, the SNDS is increasingly used for pharmacoepidemiologic studies, 16,17 including studies on COVID-19. 8,11,18,19 The study took advantage of the G9 mapping, a useful tool provided within the SNDS which allows an automatic selection of individuals labelled with a given chronic disease in a given year. 20 Several pathologies have been considered in the G9 mapping including persons with end stage terminal kidney disease (ESKD) and we used it for selecting the persons included in the study.…”
Section: Methodsmentioning
confidence: 99%
“…The study was based on data of the National Health Data System (SNDS) which covers more than 99% of the French population (67 million inhabitants). 2,3 Data on hospital admission were obtained from the French hospital discharge database (PMSI) and linked at the individual level with the nationwide databases for Covid-19 vaccination (VAC-SI) and testing (SI-DEP).…”
Section: Supplementary Informationmentioning
confidence: 99%
“…These binary variables reflected a prior history (within 5 years unless otherwise mentioned) of the following conditions: sarcoidosis, opioid use disorder, coronary artery disease and myocardial infarction, heart failure, antihypertensive drug use, arrhythmia, diabetes, autoimmune disease, respiratory disease, active cancer, and antibiotic use (within a month). 2…”
Section: Supplementary Informationmentioning
confidence: 99%