The impact of genetic and lifestyle factors on the risk of major cardiovascular and thromboembolic events post-COVID-19 diagnosis

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The impact of genetic and lifestyle factors on the risk of major cardiovascular and thromboembolic events post-COVID-19 diagnosis
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The impact of genetic and lifestyle factors on the risk of major cardiovascular and thromboembolic events post-COVID-19 diagnosis medrxivpreprint UniofOxford LSHTM Cambridge_Uni ErasmusMC

By Suchandrima BhowmikOct 31 2022Reviewed by Danielle Ellis, B.Sc. Cardiovascular disease is known to be the leading cause of death throughout the world. Recently, cardiovascular morbidity and mortality have increased further due to the direct and indirect impact of the coronavirus disease 2019 pandemic. The repercussions and long-term consequences of COVID-19 could lead to a further increase in the cardiovascular burden to abnormal levels.

Additionally, effective public health interventions are required immediately to reduce the cardiovascular burden of the population, especially due to the increase in COVID-19 infections following the removal of the early restrictions. In 2022 the US Preventive Service Task Force updated its recommendations for promoting healthy behavior counseling for all adults to prevent cardiovascular complications.

A composite healthy lifestyle index was defined through a combination of nine lifestyle component data that involved alcohol drinking, smoking status, television viewing time, physical activity, intake of oily fish, intake of processed meat, intake of red meat, intake of fruit and vegetable, and sleep duration. Every lifestyle factor was assigned 0 points if it was healthy and 1 point if it was unhealthy.

Following infection, 135 VTE, 29 ISS, 244 CAD, and 422 AF events were reported to occur during the follow-up period, which accounted for 0.53%, 0.12%, 0.96%, and 1.67% of the COVID-19 cohort, respectively. The rate of incidence was reported to be 6.12 per 1,000 person-years for ISS, 86.9 for AF, 48.5 for CAD, and 28.0 for VTE.

Moreover, the results of the sensitivity analysis were observed to be similar to the primary analysis. The extent of PRS association was reduced for the sensitivity analysis of hospital admission-related events and incident events compared to the estimates of events diagnosed after infection.

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