Clinical cardiology · 2026
Mortality Related to Different Circulatory Diseases Before, During and After the COVID-19 Pandemic.
СтатьяНазвание и аннотация: Перевод пока не подготовлен
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Capodaglio Giulia, Fedeli Ugo, Levantesi Susanna, Girardi Paolo
Аннотация
BACKGROUND: The COVID-19 pandemic caused a global rise in cardiovascular mortality. In Italy, a large excess deaths from ischemic heart disease (IHD), cerebrovascular disease (CVD), hypertensive diseases (HD), and atrial fibrillation (AF) was observed early during the pandemic. Whether mortality has since returned to pre-pandemic levels remains uncertain.
METHODS: This study analyzed mortality data for residents aged ≥ 40 in the Veneto Region, Italy, using multiple causes of death (MCOD) from death certificates. Age-standardized monthly mortality rates were computed for IHD, CVD, HD, and AF. Forecasts for 2023 were generated using two scenarios: excluding the pandemic period (2008-2019) and including it (2008-2022). Seasonal ARIMA and Lee-Carter models were applied, and observed 2023 rates were compared with forecasts.
RESULTS: In 2020, all circulatory disease categories showed a mortality peak, especially HD (+29%). Although rates decreased in 2021-2022, they remained significantly above pre-pandemic levels. In 2023, observed rates for all conditions were close to those forecasted using the 2008-2019 baseline. By contrast, observed rates were significantly lower than expected when using the 2008-2022 baseline. Seasonal peaks were still observed in December 2023, associated with the circulation of multiple respiratory viruses. Lee-Carter model results confirmed a general re-alignment of 2023 mortality with pre-pandemic patterns.
CONCLUSIONS: By 2023, mortality from major circulatory diseases in the Veneto Region largely returned to pre-pandemic trends, suggesting limited long-term excess mortality. The findings underscore the value of MCOD data and time-series modeling in capturing both short-term disruptions and long-term recovery patterns in population health.
METHODS: This study analyzed mortality data for residents aged ≥ 40 in the Veneto Region, Italy, using multiple causes of death (MCOD) from death certificates. Age-standardized monthly mortality rates were computed for IHD, CVD, HD, and AF. Forecasts for 2023 were generated using two scenarios: excluding the pandemic period (2008-2019) and including it (2008-2022). Seasonal ARIMA and Lee-Carter models were applied, and observed 2023 rates were compared with forecasts.
RESULTS: In 2020, all circulatory disease categories showed a mortality peak, especially HD (+29%). Although rates decreased in 2021-2022, they remained significantly above pre-pandemic levels. In 2023, observed rates for all conditions were close to those forecasted using the 2008-2019 baseline. By contrast, observed rates were significantly lower than expected when using the 2008-2022 baseline. Seasonal peaks were still observed in December 2023, associated with the circulation of multiple respiratory viruses. Lee-Carter model results confirmed a general re-alignment of 2023 mortality with pre-pandemic patterns.
CONCLUSIONS: By 2023, mortality from major circulatory diseases in the Veneto Region largely returned to pre-pandemic trends, suggesting limited long-term excess mortality. The findings underscore the value of MCOD data and time-series modeling in capturing both short-term disruptions and long-term recovery patterns in population health.