Mortality Related to Different Circulatory Diseases Before, During and After the COVID-19 Pandemic

Giulia Capodaglio1, Ugo Fedeli2, Susanna Levantesi3

  • 1Screening Unit, Azienda Zero, Veneto Region, Padova, Italy.

Clinical Cardiology
|July 31, 2026
PubMed

Insights

Cardiovascular mortality in Italy

Area of Science:

  • Public Health
  • Epidemiology
  • Cardiovascular Disease Research

Background:

  • The COVID-19 pandemic significantly increased cardiovascular mortality globally.
  • Early pandemic data from Italy showed excess deaths from ischemic heart disease (IHD), cerebrovascular disease (CVD), hypertensive diseases (HD), and atrial fibrillation (AF).
  • Uncertainty remained regarding whether these mortality rates returned to pre-pandemic levels.

Purpose of the Study:

  • To assess if cardiovascular disease mortality in the Veneto Region, Italy, returned to pre-pandemic levels by 2023.
  • To analyze trends in mortality for IHD, CVD, HD, and AF.
  • To evaluate the long-term impact of the pandemic on circulatory disease mortality.

Main Methods:

  • Analysis of mortality data (≥40 years) in the Veneto Region using multiple causes of death (MCOD) from death certificates.
  • Calculation of age-standardized monthly mortality rates for IHD, CVD, HD, and AF.
  • Forecasting 2023 mortality using Seasonal ARIMA and Lee-Carter models, with scenarios excluding (2008-2019) and including (2008-2022) the pandemic period.

Main Results:

  • A mortality peak for all circulatory diseases was observed in 2020, with hypertensive diseases (HD) peaking at +29%.
  • Despite decreasing rates in 2021-2022, mortality remained significantly above pre-pandemic levels.
  • By 2023, observed mortality rates aligned with pre-pandemic forecasts (2008-2019 baseline) and were lower than pandemic-inclusive forecasts (2008-2022), indicating a return to pre-pandemic patterns.

Conclusions:

  • Mortality from major circulatory diseases in the Veneto Region largely reverted to pre-pandemic trends by 2023.
  • The study suggests limited long-term excess mortality from these conditions post-pandemic.
  • Highlights the utility of multiple causes of death data and time-series modeling for tracking population health recovery.
Abstract

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