Evidence map›Paper›PMID 36977515›Full record

ArticleOpen heart2023

Impact of COVID-19 pandemic on cardiovascular diseases hospitalisation, management and mortality in Switzerland.

Ko Ko Maung, Pedro Marques-Vidal

Abstract read
In one paragraph

Article in Open heart, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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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

9 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

2 authors.

Ko Ko MaungDeparment of Medicine, Internal Medicine, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.ORCID 0000-0002-3506-3701
Pedro Marques-VidalDeparment of Medicine, Internal Medicine, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland Pedro-Manuel.Marques-Vidal@chuv.ch.ORCID 0000-0002-4548-8500

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCOVID-19 pandemic led to a reduction in hospital admissions and intervention for other diseases in many countries. We aimed to assess the effect of COVID-19 pandemic on cardiovascular disease (CVD) hospitalisations, management and mortality in Switzerland.

methodsSwiss hospital discharge and mortality data for period 2017-2020. CVD hospitalisations, CVD interventions and CVD mortality were assessed before (2017-2019) and during (2020) the pandemic. Expected numbers of admissions, interventions and deaths for 2020 were computed using simple linear regression model.

resultsCompared with 2017-2019, 2020 was characterised by a reduction of CVD admissions in age groups 65-84 and ≥85 by approximately 3700 and 1700 cases, respectively, and by an increase in the percentage of admissions with a Charlson index >8. The total number of CVD-related deaths decreased from 21 042 in 2017 to 19 901 in 2019, and increased to 20 511 in 2020, with an estimated excess of 1139 deaths. This increase was due to out-of-hospital deaths (+1342), while the number of in-hospital deaths decreased from 5030 in 2019 to 4796 in 2020, which concerned mostly subjects aged ≥85 years. The total number of admissions with cardiovascular interventions increased from 55 181 in 2017 to 57 864 in 2019, and decreased in 2020, with an estimated reduction of 4414 admissions; percutaneous transluminal coronary angioplasty (PTCA) was the exception, as the number and percentage of emergency admissions with PTCA increased. The preventive measures applied against COVID-19 inverted the seasonal pattern of CVD admissions, the highest number of admissions being found in summer and the lowest in winter.

conclusionThe COVID-19 pandemic led to a reduction in CVD hospital admissions, planned CVD interventions, an increase in total and out-of-hospital CVD deaths and a change in seasonal patterns.

Indexed as

Cardiovascular DiseasesCOVID-19HospitalizationHumansPandemicsSwitzerlandCOVID-19Death, Sudden, CardiacEndovascular ProceduresEpidemiology

Identifiers

PMID36977515
PMCPMC10069278

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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.