NCT05321433

Brief Summary

This is an observational study of pooled population-based samples in three Nordic countries. Country-specific data has already been analysed in previous studies in Sweden, Finland, and Norway. The primary objective is to examine the association between tobacco use, the risk of SARS-CoV-2 infection, and adverse Outcomes using pooled population-based samples.

Trial Health

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
757,585

participants targeted

Target at P75+ for all trials

Timeline
Completed

Started Apr 2022

Geographic Reach
1 country

1 active site

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Start

First participant enrolled

April 1, 2022

Completed
7 days until next milestone

First Submitted

Initial submission to the registry

April 8, 2022

Completed
3 days until next milestone

First Posted

Study publicly available on registry

April 11, 2022

Completed
1.7 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

December 31, 2023

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

December 31, 2023

Completed
Last Updated

March 6, 2024

Status Verified

March 1, 2024

Enrollment Period

1.8 years

First QC Date

April 8, 2022

Last Update Submit

March 5, 2024

Conditions

Keywords

TobaccoCOVID-19SnusEpidemiologyCohort StudiesIncidence

Outcome Measures

Primary Outcomes (4)

  • Any diagnosis of COVID-19 measured as follows:

    Sweden: at least a positive polymerase chain reaction test (PCR) reported by the laboratories to Sweden's national electronic surveillance system for communicable diseases (SmiNet). Finland: cases with a positive SARS-CoV-2 reverse transcription PCR (RT-PCR), either informed by a laboratory or by a physician as a record of an International Classification of Diseases, Tenth Revision (ICD-10) code U07.1 (which requires a positive SARS-CoV-2 RT-PCR). Norway: a positive test for SARS-CoV-2 based on PCR obtained from The Norwegian Surveillance System for Communicable Diseases (MSIS) or the presence of antibodies for SARS-CoV-2. Out of these definitions a categorical variable will be created (No recorded COVID-19 diagnosis= 1, registered COVID-19 diagnosis= 2)

    February 2020 - December 2020

  • Hospital admission for COVID-19 measured as follows:

    Any hospital admission with a diagnosis of COVID-19 (ICD-10 codes U071 and U072). The diagnosis could be registered either as a main or as a concomitant diagnosis. A. A categorical variable for hospital admission with any diagnosis of COVID-19 (either main or secondary diagnosis) will be created (No admissions= 1, any admission= 2). B. A categorical variable for hospital admission with COVID-19 as the main diagnosis only (No admissions= 1, any admission= 2).

    February 2020 - December 2020

  • Intensive unit care because of a diagnosis of COVID-19 measures as follows:

    Admission to an intensive care unit (ICU) because of a diagnosis of COVID-19 (ICD-10 codes as above). A categorical variable for intensive unit care because of a diagnosis of COVID-19 (No/Yes) will be created (No ICU care= 1, any ICU care= 2).

    February 2020 - December 2020

  • Death for COVID-19 measured as follows:

    Death due to COVID-19 will be established using the Swedish, Finnish, and Norwegian Cause of Death Registries. All deaths occurring during the follow-up period with COVID-19 registered as the main cause will be included.

    February 2020 - December 2020

Secondary Outcomes (1)

  • Length of hospital stay for COVID-19

    February 2020 - December 2020

Study Arms (3)

The Swedish Cohort

Swedish data comes from a historical cohort of 424,386 clients of public dental clinics aged 23 and older in the Stockholm region with inception between October 2015 and January 2020, with follow-up from February 2020 to December 2020. In Sweden, the public dental clinics (Folktandvården, FTV) provide routine preventive visits (oral check-ups) to all residents who choose to receive care in these clinics. At each health check-up smoking and snus use are ascertained as past use, current use, and amount of current use. The national personal numbers assigned to every resident in Sweden at birth or at immigration will be used to obtain information on diagnoses of COVID-19 and of other diseases through record-linkage with regional health care registers. Demographic information will be extracted through record-linkage with the register of the total population of the Stockholm region held by Statistics Sweden.

The Finnish Cohort

The Finnish data will come from three pooled cross-sectional national health surveys in Finland (FinSote 2018-2020) of 44,199 participants aged 20 and older. The study samples included permanent residents in Finland from the FinSote surveys 2018, 2019, and 2020. The unique personal identifier assigned to all Finnish residents will be linked to the Communicable Diseases Registry to obtain information on diagnoses of COVID-19, to the Care Register for Health Care (HILMO) to obtain information on hospital admissions due to COVID-19, and to Statistics Finland Mortality Data to obtain information on deaths. Data on some sociodemographic characteristics will be also obtained from the Digital and Population Data Services Agency.

The Norwegian Cohort

The Norwegian data will be based on the Norwegian Mother, Father and Child Cohort Study (MoBa) (Magnus et al., 2016), and the Norwegian Influenza Pregnancy Cohort (NorFlu) (Laake, 2018), with linkages to the Norwegian Surveillance System for Communicable Diseases (MSIS), the Norwegian Immunisation Registry (SYSVAK), and the Norwegian Population Registry. MoBa is a nation-wide population-based cohort consisting of 280 000 participants, where parents were recruited during pregnancy from 1999 to 2008, while NorFlu is a pregnancy cohort consisting of 9 000 participants recruited in Oslo and Bergen during the swine flu pandemic in 2009-2010. Demographic information is extracted from the registries via linkage to the existing cohort databases. For the purpose of this study, all subjects who died before the onset of the pandemic (February 2020) in the three countries will be excluded from the analysis.

Eligibility Criteria

Age20 Years+
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

This is an observational study of pooled population-based samples in three Nordic countries. Country-specific data has already been analysed in previous studies in Sweden (Galanti, 2021), Finland (Peña et al., 2021), and Norway (Magnus et al., 2016). We will use the national personal number assigned to every resident in these three countries at birth or at immigration to obtain information on diagnoses of COVID-19 and adverse outcomes among individuals in these cohorts through record-linkage with regional and national databases.

You may not qualify if:

  • All subjects who died before the onset of the pandemic (February 2020) in the three countries will be excluded from the analysis.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Karolinska Institutet

Solna, Stockholm County, 171 77, Sweden

Location

Related Publications (21)

  • Andersen PK, Abildstrom SZ, Rosthoj S. Competing risks as a multi-state model. Stat Methods Med Res. 2002 Apr;11(2):203-15. doi: 10.1191/0962280202sm281ra.

    PMID: 12040697BACKGROUND
  • Austin PC, Lee DS, Fine JP. Introduction to the Analysis of Survival Data in the Presence of Competing Risks. Circulation. 2016 Feb 9;133(6):601-9. doi: 10.1161/CIRCULATIONAHA.115.017719.

    PMID: 26858290BACKGROUND
  • Berry SD, Ngo L, Samelson EJ, Kiel DP. Competing risk of death: an important consideration in studies of older adults. J Am Geriatr Soc. 2010 Apr;58(4):783-7. doi: 10.1111/j.1532-5415.2010.02767.x. Epub 2010 Mar 22.

    PMID: 20345862BACKGROUND
  • Farsalinos, K., Barbouni, A., & Niaura, R. (2020). Smoking, vaping and hospitalization for COVID-19. Qeios.

    BACKGROUND
  • Fine, J. P., & Gray, R. J. (1999). A proportional hazards model for the subdistribution of a competing risk. Journal of the American Statistical Association, 94(446), 496-509.

    BACKGROUND
  • Galanti, M. R. (2021). Tobacco Use and the Risk of COVID-19. ClinicalTrials.gov: NCT04896918. 2021. [Available from: https://clinicaltrials.gov/ct2/show/NCT04896918].

    BACKGROUND
  • Goldstein, H. (1995). Multilevel Statistical Models, Chapter 2. Edward Arnold. In: London, Wiley, New York.

    BACKGROUND
  • Haddad C, Bou Malhab S, Sacre H, Salameh P. Smoking and COVID-19: A Scoping Review. Tob Use Insights. 2021 Feb 15;14:1179173X21994612. doi: 10.1177/1179173X21994612. eCollection 2021.

    PMID: 33642886BACKGROUND
  • Hilbe, J. M. (2011). Negative binomial regression. Cambridge University Press.

    BACKGROUND
  • Hilbe, J. M. (2014). Modeling count data. Cambridge University Press.

    BACKGROUND
  • Ioannidis JPA. Over- and under-estimation of COVID-19 deaths. Eur J Epidemiol. 2021 Jun;36(6):581-588. doi: 10.1007/s10654-021-00787-9. Epub 2021 Jul 28.

    PMID: 34322831BACKGROUND
  • Jimenez-Ruiz CA, Lopez-Padilla D, Alonso-Arroyo A, Aleixandre-Benavent R, Solano-Reina S, de Granda-Orive JI. [COVID-19 and Smoking: A Systematic Review and Meta-Analysis of the Evidence]. Arch Bronconeumol. 2021 Jan;57:21-34. doi: 10.1016/j.arbres.2020.06.024. Epub 2020 Jul 25. Spanish.

    PMID: 34629638BACKGROUND
  • Kim HT. Cumulative incidence in competing risks data and competing risks regression analysis. Clin Cancer Res. 2007 Jan 15;13(2 Pt 1):559-65. doi: 10.1158/1078-0432.CCR-06-1210.

    PMID: 17255278BACKGROUND
  • Laake I, Tunheim G, Robertson AH, Hungnes O, Waalen K, Haberg SE, Mjaaland S, Trogstad L. Risk of pregnancy complications and adverse birth outcomes after maternal A(H1N1)pdm09 influenza: a Norwegian population-based cohort study. BMC Infect Dis. 2018 Oct 22;18(1):525. doi: 10.1186/s12879-018-3435-8.

    PMID: 30348103BACKGROUND
  • Magnus P, Birke C, Vejrup K, Haugan A, Alsaker E, Daltveit AK, Handal M, Haugen M, Hoiseth G, Knudsen GP, Paltiel L, Schreuder P, Tambs K, Vold L, Stoltenberg C. Cohort Profile Update: The Norwegian Mother and Child Cohort Study (MoBa). Int J Epidemiol. 2016 Apr;45(2):382-8. doi: 10.1093/ije/dyw029. Epub 2016 Apr 10.

    PMID: 27063603BACKGROUND
  • Puebla Neira D, Watts A, Seashore J, Polychronopoulou E, Kuo YF, Sharma G. Smoking and risk of COVID-19 hospitalization. Respir Med. 2021 Jun;182:106414. doi: 10.1016/j.rmed.2021.106414. Epub 2021 Apr 17.

    PMID: 33915414BACKGROUND
  • Peña, S., Ilmarinen, K., Kestilä, L., & Karvonen, S. (2021). Tobacco Use and COVID-19 Incidence in the Finnish General Population (Tobrisk-CoV). ClinicalTrials.gov: NCT04915781. 2021. [Available from: https://clinicaltrials.gov/ct2/show/NCT04915781]. https://clinicaltrials.gov/ct2/show/NCT04915781

    BACKGROUND
  • Simons D, Shahab L, Brown J, Perski O. The association of smoking status with SARS-CoV-2 infection, hospitalization and mortality from COVID-19: a living rapid evidence review with Bayesian meta-analyses (version 7). Addiction. 2021 Jun;116(6):1319-1368. doi: 10.1111/add.15276. Epub 2020 Nov 17.

    PMID: 33007104BACKGROUND
  • Southern DA, Faris PD, Brant R, Galbraith PD, Norris CM, Knudtson ML, Ghali WA; APPROACH Investigators. Kaplan-Meier methods yielded misleading results in competing risk scenarios. J Clin Epidemiol. 2006 Oct;59(10):1110-4. doi: 10.1016/j.jclinepi.2006.07.002.

    PMID: 16980152BACKGROUND
  • WHO. (2022). Coronavirus (COVID-19) Dashboard. https://covid19.who.int/]

    BACKGROUND
  • Zou G. A modified poisson regression approach to prospective studies with binary data. Am J Epidemiol. 2004 Apr 1;159(7):702-6. doi: 10.1093/aje/kwh090.

    PMID: 15033648BACKGROUND

Related Links

MeSH Terms

Conditions

COVID-19Respiratory Tract InfectionsInfectionsPneumonia, ViralPneumoniaVirus Diseases

Condition Hierarchy (Ancestors)

Coronavirus InfectionsCoronaviridae InfectionsNidovirales InfectionsRNA Virus InfectionsLung DiseasesRespiratory Tract Diseases

Study Officials

  • Maria Rosaria Galanti

    Department of Global Public Health, Karolinska Institute

    PRINCIPAL INVESTIGATOR

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
PROSPECTIVE
Target Duration
11 Months
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Adjunct professor

Study Record Dates

First Submitted

April 8, 2022

First Posted

April 11, 2022

Study Start

April 1, 2022

Primary Completion

December 31, 2023

Study Completion

December 31, 2023

Last Updated

March 6, 2024

Record last verified: 2024-03

Data Sharing

IPD Sharing
Will not share

Locations