Dataset Information

Understanding myocardial infarction trends during the early COVID-19 pandemic: an infodemiology study.

ABSTRACT: During the first months of the coronavirus disease 2019 (COVID-19) pandemic in early 2020, Google Trends data in the United States showed a strong increase in search query frequency for chest pain symptoms despite a concurrent decrease in search interest for myocardial infarction. This suggests a reduced attention to acute coronary syndrome (ACS) and chest pain as its main symptom during this time period. These observations could help explain why cardiovascular mortality rose dramatically despite a strong decrease in hospitalisation rates for ACS.

SUBMITTER: Dzaye O

PROVIDER: S-EPMC8447322 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature

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Understanding myocardial infarction trends during the early COVID-19 pandemic: an infodemiology study.

Dzaye Omar O Duebgen Matthias M Berning Philipp P Graham Garth G Martin Seth S SS Blaha Michael J MJ

Internal medicine journal 20210702 8

During the first months of the coronavirus disease 2019 (COVID-19) pandemic in early 2020, Google Trends data in the United States showed a strong increase in search query frequency for chest pain symptoms despite a concurrent decrease in search interest for myocardial infarction. This suggests a reduced attention to acute coronary syndrome (ACS) and chest pain as its main symptom during this time period. These observations could help explain why cardiovascular mortality rose dramatically despit ...[more]

PMID: 34213031

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Project description:AimsThis study aimed to evaluate the impact of coronavirus disease 2019 (Covid-19) outbreak on admissions for acute myocardial infarction (AMI) and related mortality, severity of presentation, major cardiac complications and outcome in a tertiary-care university hospital in Berlin, Germany.Methods and resultsIn a single-centre cross-sectional observational study, we included 355 patients with AMI containing ST-elevation or non-ST-elevation myocardial infarction (STEMI or NSTEMI), admitted for emergency cardiac catheterization between January and April 2020 and the equivalent time in 2019. During the early phase of the Covid-19 pandemic (e-COV) in Berlin (March and April 2020), admissions for AMI halved compared with those in the pre-Covid-19 time (January and February 2020; pre-COV) and with those in the corresponding months in 2019. However, mortality for AMI increased substantially from 5.2% pre-COV to 17.7% (P < 0.05) during e-COV. Severity of presentation for AMI was more pronounced during e-COV [increased levels of cardiac enzymes, reduced left ventricular ejection fraction (LVEF), an increase in the need of inotropic support by 25% (P < 0.01)], while patients' demographic and angiographic characteristics did not differ between pre-COV and e-COV. Time from symptom onset to first medical contact was prolonged in all AMI during e-COV (presentation > 72 h +21% in STEMI, p = 0.04 and presentation > 72 h in NSTEMI +22%, p = 0.02). Door to balloon time was similar in STEMI patients, while time from first medical contact to revascularization was significantly delayed in NSTEMI patients (p = 0.02). Major cardiac complications after AMI occurred significantly more often, and cardiac recovery was worse in e-COV than in pre-COV, demonstrated by a significantly lower LVEF (39 ± 16 vs. 46 ± 16, p < 0.05) at hospital discharge and substantially higher NTproBNP levels.ConclusionsThe Covid-19 outbreak affects hospital admissions for acute coronary syndromes. During the first phase of the pandemia, significantly less patients with AMI were admitted, but those admitted presented with a more severe phenotype and had a higher mortality, more complications, and a worse short-term outcome. Therefore, our data indicate that Covid-19 had relevant impact on non-infectious disease states, such as acute coronary syndromes.

Dataset Information

Understanding myocardial infarction trends during the early COVID-19 pandemic: an infodemiology study.

Publications

Understanding myocardial infarction trends during the early COVID-19 pandemic: an infodemiology study.

Similar Datasets

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