Evidence map›Paper›PMID 36443699›Full record

Observational studyBMC infectious diseases2022

Risk factors for severe Covid-19 breakthrough infections: an observational longitudinal study.

Sihem Ben Fredj, Rim Ghammem, Nawel Zammit, Amani Maatouk, Nihel Haddad, Nouha Haddad, Manel Kachroudi, Senda Rebai, Hafsia Laadhari, Mohamed Mizouni Ghodhbani and 2 more

Abstract readObservational Study
In one paragraph

Observational study in BMC infectious diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Sihem Ben FredjFaculty of Medicine of Sousse, University of Sousse, 4000, Sousse, Tunisia.
Rim GhammemFaculty of Medicine of Sousse, University of Sousse, 4000, Sousse, Tunisia.
Nawel ZammitFaculty of Medicine of Sousse, University of Sousse, 4000, Sousse, Tunisia.
Amani MaatoukDepartment of Epidemiology "LR19SP03", Farhat Hached University Hospital, 4000, Sousse, Tunisia. amani.maatoukk@gmail.com.
Nihel HaddadDepartment of Epidemiology "LR19SP03", Farhat Hached University Hospital, 4000, Sousse, Tunisia.
Nouha HaddadDepartment of Epidemiology "LR19SP03", Farhat Hached University Hospital, 4000, Sousse, Tunisia.
Manel KachroudiDepartment of Epidemiology "LR19SP03", Farhat Hached University Hospital, 4000, Sousse, Tunisia.
Senda RebaiDepartment of Epidemiology "LR19SP03", Farhat Hached University Hospital, 4000, Sousse, Tunisia.
Hafsia LaadhariMinistry of Health, Regional Health Office of Sousse, Sousse, Tunisia.
Mohamed Mizouni GhodhbaniMinistry of Health, Regional Health Office of Sousse, Sousse, Tunisia.
Jihen MaatougFaculty of Medicine of Sousse, University of Sousse, 4000, Sousse, Tunisia.
Hassen GhannemFaculty of Medicine of Sousse, University of Sousse, 4000, Sousse, Tunisia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe drive to vaccinate large populations is nowadays the main instrument for combating the pandemic and preventing serious disease and death. However, breakthrough infection (post-vaccination infection) still happens after vaccination among fully vaccinated people. We aimed to assess the severity outcomes and to determine its associated factors among vaccinated COVID-19 cases in the governorate of Sousse, Tunisia.

methodsWe carried out a five-month observational longitudinal study including all the population of Sousse. Confirmed infections of SARS-CoV-2 and the vaccination status are recorded in the daily COVID- 19 database of the Regional Office of the Tunisian Ministry of Health. We included all post-vaccination COVID-19 cases for the analysis of the COVID-19 serious outcomes. Data were collected via 15-min telephonic call interviews conducted by trained interviewers. Descriptive analysis with calculating incidence rates of confirmed COVID-19 cases per 100,000 inhabitants was conducted. In binary logistic regression, adjusted odds ratios along with 95% intervals confidence were performed to determine factors related to severe or critical COVID-19.

resultsAs of 31 July 2021, 107,545 persons over 19 years old have received at least one dose of COVID-19 vaccination. Among the vaccinated population, we traced and included 765 breakthrough infection cases, and the incidence rate was 711.3 per week. The majority were female (sex-ratio = 0.8), and the average age of the overall cases was 55.7 years. The prevalence of severe or critical cases in vaccinated COVID-19 patients occurs in 10.8% of cases. Patients with a medical history of cardiovascular diseases had more than two times increased odds to have a severe or critical disease. We also found the highest self-estimation of adherence to preventive measures was inversely correlated to serious cases and having an incomplete vaccination schema was strongly associated with complications.

conclusionsWe tried to provide evidence about the breakthrough infections to improve measures of prevention and control of COVID-19. Boosting immunity for vulnerable patients added to maintaining and promoting preventive measures are not only essential to prevent severe cases of breakthrough infections of COVID-19, but also other influenza-like diseases.

Indexed as

COVID-19COVID-19 VaccinesAdultBreakthrough InfectionsFemaleHumansLongitudinal StudiesMaleMiddle AgedRisk FactorsSARS-CoV-2Young AdultCOVID-19 VaccinesCOVID-19COVID-19 breakthrough infectionsCOVID-19 vaccinesRisk factors

Identifiers

PMID36443699
PMCPMC9706846

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.