Medium-Term Impact of the Coronavirus Disease 2019 Pandemic on the Practice of Percutaneous Coronary Interventions in Japan

Figures

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  Supplementary Fig.1. Trend of case numbers of COVID-19 in Japan. COVID-19: coronavirus disease 2019

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  Supplementary Fig.2.. Flowchart of the patients’ selection and classification process

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  Fig.1a. Trend of the ratio of rates of cases undergoing elective PCIs in each month to that in corresponding months in previous 2 years. The error bars indicate the confidence intervals.

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  Fig.1b. Trend of the ratio of rates of cases undergoing emergency PCIs in each month to that in corresponding months in previous 2 years. The error bars indicate the confidence intervals.

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  Supplementary Fig.3a. Trend of the ratio of rates of cases undergoing elective PCIs in each month to that in corresponding months in previous 2 years, limited to the areas with proactive COVID-19 policies. The error bars indicate the confidence intervals.

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  Supplementary Fig.3b. Trend of the ratio of rates of cases undergoing emergency PCIs in each month to that in corresponding months in previous 2 years, limited to the areas with proactive COVID-19 policies. The error bars indicate the confidence intervals.

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  Supplementary Fig.4. Trend of the ratio of rates of all cases undergoing PCIs in each month to that in corresponding months in previous 2 years. The error bars indicate the confidence intervals.

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  Supplementary Fig.3c. Trend of the ratio of rates of all cases undergoing PCIs in each month to that in corresponding months in previous 2 years, limited to the areas with proactive COVID-19 policies. The error bars indicate the confidence intervals.

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  Fig.2a. Interrupted time series analysis for changes in the proportion of severe cases in cases undergoing elective PCIs. The proportion of severe cases in cases undergoing elective PCIs is plotted on the vertical axis and year and month on the horizontal axis. Blue curved line: predicted value of the proportion of severe cases based on the seasonally adjusted regression model before the change point (the week beginning from April 5, 2020). Blue straight line: linear predicted value of the proportion of severe cases before the change point. Pink curved line: predicted value of the proportion of severe cases based on the seasonally adjusted regression model after the change point. Pink straight line: linear predicted value of the proportion of severe cases after the change point. Blue dotted straight line: predicted value of the proportion of severe cases after the change point based on the observations before the change point. Vertical dotted line indicates the change point (the week beginning from April 5, 2020).

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  Fig.2b. Interrupted time series analysis for changes in the proportion of severe cases in cases undergoing emergency PCIs. The proportion of severe cases in cases undergoing emergency PCIs is plotted on the vertical axis and year and month on the horizontal axis. Blue curved line: predicted value of the proportion of severe cases based on the seasonally adjusted regression model before the change point (the week beginning from April 5, 2020). Blue straight line: linear predicted value of the proportion of severe cases before the change point. Pink curved line: predicted value of the proportion of severe cases based on the seasonally adjusted regression model after the change point. Pink straight line: linear predicted value of the proportion of severe cases after the change point. Blue dotted straight line: predicted value of the proportion of severe cases after the change point based on the observations before the change point. Vertical dotted line indicates the change point (the week beginning from April 5, 2020).

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  Supplementary Fig.5a. Interrupted time series analysis for changes in the proportion of cases initially undertaking MV in cases undergoing emergency PCIs. The proportion of cases initially undertaking MV is plotted on the vertical axis and year and month on the horizontal axis. Blue curved line: predicted value of the proportion of cases initially undertaking MV based on the seasonally adjusted regression model before the change point (the week beginning from April 5, 2020). Blue straight line: linear predicted value of the proportion of cases initially undertaking MV before the change point. Pink curved line: predicted value of the proportion of cases initially undertaking MV based on the seasonally adjusted regression model after the change point. Pink straight line: linear predicted value of the proportion of cases initially undertaking MV after the change point. Blue dotted straight line: predicted value of the proportion of cases initially undertaking MV after the change point based on the observations before the change point. Vertical dotted line indicates the change point (the week beginning from April 5, 2020).

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  Supplementary Fig.5b. Interrupted time series analysis for changes in the proportion of cases initially undertaking circulation support in cases undergoing emergency PCIs. The proportion of cases initially undertaking circulation support is plotted on the vertical axis and year and month on the horizontal axis. Blue curved line: predicted value of the proportion of cases initially undertaking circulation support based on the seasonally adjusted regression model before the change point (the week beginning from April 5, 2020). Blue straight line: linear predicted value of the proportion of cases initially undertaking circulation support before the change point. Pink curved line: predicted value of the proportion of cases initially undertaking circulation support based on the seasonally adjusted regression model after the change point. Pink straight line: linear predicted value of the proportion of cases initially undertaking circulation support after the change point. Blue dotted straight line: predicted value of the proportion of cases initially undertaking circulation support after the change point based on the observations before the change point. Vertical dotted line indicates the change point (the week beginning from April 5, 2020).