Evidence map›Paper›PMID 40172984›Full record

ArticleEuropean heart journal2025

Incidence, risk factors, and mortality of pulmonary embolism in the Netherlands (2015-22): sex differences and shifts during the coronavirus disease 2019 pandemic.

Qingui Chen, Nienke van Rein, Luuk J J Scheres, Eva K Kempers, Chantal Visser, Marieke J H A Kruip, Suzanne C Cannegieter

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Article in European heart journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Qingui ChenDepartment of Clinical Epidemiology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA Leiden, The Netherlands.ORCID 0000-0001-9669-0007
Nienke van ReinDepartment of Clinical Epidemiology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA Leiden, The Netherlands.ORCID 0000-0001-9201-401X
Luuk J J ScheresDepartment of Clinical Epidemiology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA Leiden, The Netherlands.ORCID 0000-0001-5282-5520
Eva K KempersDepartment of Hematology, Erasmus MC, Erasmus University Medical Center, Rotterdam, The Netherlands.ORCID 0000-0001-9458-8674
Chantal VisserDepartment of Hematology, Erasmus MC, Erasmus University Medical Center, Rotterdam, The Netherlands.ORCID 0000-0002-2025-1734
Marieke J H A KruipDepartment of Hematology, Erasmus MC, Erasmus University Medical Center, Rotterdam, The Netherlands.ORCID 0000-0002-0265-4871
Suzanne C CannegieterDepartment of Clinical Epidemiology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA Leiden, The Netherlands.ORCID 0000-0003-4707-2303

Funding

Chinese Government Scholarship 201906380148Leiden University Medical Center
6 · The paper itself

Abstract

BACKGROUND AND

aimsEpidemiology of pulmonary embolism (PE) may have shifted since the coronavirus disease 2019 (COVID-19) pandemic. This study aimed to describe temporal trends in PE epidemiology in the Netherlands since 2015.

methodsUsing nationwide data from Statistics Netherlands, all Dutch inhabitants (>16 million) without a history of PE were dynamically identified on 1 January of each year to assemble eight cohorts of PE-free Dutch inhabitants in 2015-22. They were individually followed until the end of that respective year to determine 1-year risk of PE (identified by hospital diagnoses/primary cause of death) and establish relevant risk factors. The PE cases were subsequently studied to determine 1-year all-cause mortality following PE. Multivariable logistic regression with cluster-robust standard errors and robust Poisson regression were respectively employed to evaluate relative differences in PE incidence and mortality between years.

resultsPulmonary embolism incidence in the Dutch population decreased from 2015 to 2019 but markedly increased by 23% (95% confidence interval 20%-26%), 52% (48%-56%), and 7% (4%-9%) in 2020-22 (vs. 2019), respectively. Most traditional PE risk factors remained associated with PE in 2020-22 but generally with a weaker association. Pulmonary embolism mortality was stable until 2019 but then increased by 10% (6%-14%) in 2020 and 9% (6%-13%) in 2021, while the increase [2% (-1% to 6%)] was insignificant in 2022. The above-mentioned changes since 2020 were generally greater in males than females.

conclusionsThe seemingly favourable pre-pandemic temporal trends in PE epidemiology in the Netherlands reversed during the COVID-19 pandemic but appear to revert to pre-pandemic levels after 2022.

Indexed as

COVID-19Pulmonary EmbolismAdultAgedAged, 80 and overFemaleHumansIncidenceMaleMiddle AgedNetherlandsPandemicsRisk FactorsSARS-CoV-2Sex FactorsCOVID-19EpidemiologyPulmonary embolismSex characteristicsTemporal trend

Identifiers

PMID40172984
PMCPMC12277882

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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.