Publications by authors named "Jan Vandenbroucke"

Objectives: To examine the impact of the COVID-19 pandemic on deprivation-related inequalities in hospitalisations for cardiovascular disease (CVD) conditions in Denmark and England between March 2018 and December 2021.

Design: Time-series studies in England and Denmark.

Setting: With the approval of National Health Service England, we used English primary care electronic health records, linked to secondary care and death registry data through the OpenSAFELY platform and nationwide Danish health registry data.

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Objective: To examine the combined impact of migraine and gestational diabetes mellitus (GDM) on the risks of premature (persons aged ≤60 years) major adverse cardiovascular and cerebrovascular events (MACCE) based on a composite endpoint of fatal and non-fatal myocardial infarction (MI) and stroke.

Background: Migraine and GDM are risk factors for cardiovascular disease. It is unknown how the combination of migraine and GDM may affect cardiovascular disease risk.

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We discuss some intriguing methodological aspects of excess mortality analyses, which have been widely used to describe the impact of the COVID-19 pandemic. We describe the main ways of presenting excess mortality: as a mortality rate (incidence rate) or as a percentage increase (relative risk or rate ratio). We discuss what should be regarded as the null value of excess mortality (i.

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This paper is a summary of key presentations from a workshop in Iceland on May 3-4, 2023 arranged by Aarhus University and with participation of the below-mentioned scientists. Below you will find the key messages from the presentations made by: Professor Jan Vandenbroucke, Department of Clinical Epidemiology, Aarhus University, Emeritus Professor, Leiden University; Honorary Professor, London School of Hygiene & Tropical Medicine, UKProfessor, Chair Henrik Toft Sørensen, Department of Clinical Epidemiology, Aarhus University and Aarhus University Hospital, DenmarkProfessor David H. Rehkopf, Director, the Stanford Center for Population Health Sciences, Stanford University, CA.

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Objectives: This study aims to assess risk factors for SARS-CoV-2 infection by combined design; first comparing positive cases to negative controls as determined by PCR testing and then comparing these two groups to an additional prepandemic population control group.

Design And Setting: Test-negative design (TND), multicentre case-control study with additional population controls in South-Eastern Norway.

Participants: Adults who underwent SARS-CoV-2 PCR testing between February and December 2020.

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Background And Objectives: Migraine and pregnancy-induced hypertension (PIH) are known to increase cardiovascular risk on their own. However, evidence is limited on the combined impact of migraine and PIH on risk of cardiovascular disease. The aim of this study was to examine the combined impact of migraine and PIH on risk of premature (age 60 years and younger) major adverse cardiovascular and cerebrovascular events (MACCE), a composite end point consisting of myocardial infarction, stroke, or death due to one of these diseases.

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Article Synopsis
  • The study investigates the relationship between migraine and the risk of premature myocardial infarction (MI) and stroke in men and women aged 18-60.
  • Using Danish medical registries from 1996 to 2018, researchers identified nearly 180,000 women and around 40,000 men with migraines, comparing their health outcomes with matched non-migraine individuals.
  • Results showed that while women with migraines had a significantly higher adjusted risk for both premature MI and ischemic stroke, the increased risk was less clear for men, suggesting a gender difference in how migraines affect cardiovascular health.
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Cerebral venous thrombosis (CVT) predominantly affects young to middle-aged women. Scarce data exist regarding the long-term prognosis. We examined the clinical course of patients with CVT overall and according to their age and sex.

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Objectives: To assess total antibody levels against Severe Acute Respiratory Syndrome CoronaVirus 2 (SARS CoV-2) spike protein up to 12 months after Coronavirus Disease (COVID-19) infection in non-vaccinated individuals and the possible predictors of antibody persistence.

Methods: This is the first part of a prospective multi-centre cohort study.

Participants: The study included SARS-CoV-2 real-time polymerase chain reaction (RT-PCR) positive and negative participants in South-Eastern Norway from February to December 2020.

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Aging of the population is a pressing challenge for healthcare systems and knowledge of a patient's prognosis is a key to shaping effective interventions. As the prevalence of multimorbidity strongly increases with age, the prognostic value of multiple disease diagnoses for survival among older people may diminish, whereas other measures of health, such as functional status (defined as a measure of an individual's ability to perform activities of daily living), may become more important. In this commentary, the impact of age on the prognostic value of multimorbidity is discussed, with the aim of identifying relevant alternative risk indicators for different age groups.

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During the covid-19 pandemic there were large differences in excess deaths between high income countries, as shown in a study recently published in BMJ. The number of excess deaths gives a better estimate of the effects of covid-19 on mortality than the number of reported deaths from covid-19. This comment explains why and shows the consequences for the interpretation of Dutch mortality data.

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There has perhaps been no issue as contentious in Covid-19 as face masks. The most contentious scientific debate has been between those who argue that "there is no scientific evidence", by which they mean that there are no randomized controlled trials (RCTs), versus those who argue that when the evidence is considered together, "the science supports that face coverings save lives". It used to be a 'given' that to decide whether a particular factor, either exogenous or endogenous, can cause a particular disease, and in what order of magnitude, one should consider all reasonably cogent evidence.

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The Covid-19 death rate increases exponentially with age, and the main risk factors are having underlying conditions such as hypertension, diabetes, cardiovascular disease, severe chronic respiratory disease and cancer. These characteristics are consistent with the multi-step model of disease. We applied this model to Covid-19 case fatality rates (CFRs) from China, South Korea, Italy, Spain and Japan.

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Background: Community-acquired bacteremia (CAB) with may signal occult cancer. This might differ between phylogenetic groups.

Methods: We conducted a population-based cohort study in northern Denmark (1994-2013) to examine whether CAB after age 50 is associated with incident cancer.

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Testing of symptomatic persons for infection with severe acute respiratory syndrome coronavirus-2 is occurring worldwide. We propose two types of case-control studies that can be carried out jointly in test settings for symptomatic persons. The first, the test-negative case-control design (TND) is the easiest to implement; it only requires collecting information about potential risk factors for Coronavirus Disease 2019 (COVID-19) from the tested symptomatic persons.

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We explore the different types of causes that are commonly investigated by epidemiologists. We first distinguish between causes which are events (including actions) and causes which are states. Second, we distinguish between modifiable and non-modifiable states.

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Test-negative studies recruit cases who attend a healthcare facility and test positive for a particular disease; controls are patients undergoing the same tests for the same reasons at the same healthcare facility and who test negative. The design is often used for vaccine efficacy studies, but not exclusively, and has been posited as a separate type of study design, different from case-control studies because the controls are not sampled from a wider source population. However, the design is a special case of a broader class of case-control designs that identify cases and sample "other patient" controls from the same healthcare facilities.

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Background: To our knowledge, no publication providing overarching guidance on the conduct of systematic reviews of observational studies of etiology exists.

Methods And Findings: Conducting Systematic Reviews and Meta-Analyses of Observational Studies of Etiology (COSMOS-E) provides guidance on all steps in systematic reviews of observational studies of etiology, from shaping the research question, defining exposure and outcomes, to assessing the risk of bias and statistical analysis. The writing group included researchers experienced in meta-analyses and observational studies of etiology.

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