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ORIGINAL RESEARCH

Risk of Underlying Diseases and Effectiveness of Drugs on COVID-19 Inpatients Assessed Using Medical Claims in Japan: Retrospective Observational Study

ORCID Icon, & ORCID Icon
Pages 657-672 | Received 02 Nov 2022, Accepted 03 Feb 2023, Published online: 21 Feb 2023

Figures & data

Figure 1 Number of new hospitalizations in MIA data and number of drugs used against COVID-19.

Notes: Blue bars show the numbers of newly COVID-19 hospitalizations in MIA data by their hospitalized week measured by the left scale. Yellow, orange, red, green, and pink lines, respectively, represent the number of inpatients who had been administered remdesivir, dexamethasone, tocilizumab, baricitinib and casirivimab/imdevimab or sotrovimab by their hospitalized week, as shown on the right scale. A single patient could have been administered several of the considered drugs.
Figure 1 Number of new hospitalizations in MIA data and number of drugs used against COVID-19.

Figure 2 Number of underlying diseases of SARS-CoV-2 infected inpatients, by MIA data.

Notes: Blue, orange, gray, and yellow lines, respectively, represent the numbers of underlying diseases in which inpatients with cancer, hypertension, diabetes mellitus, and heart failure by their hospitalized week. One patient could have multiple considered underlying diseases.
Figure 2 Number of underlying diseases of SARS-CoV-2 infected inpatients, by MIA data.

Table 1 Estimation Results of Logistic Regression for Death with the Administered Drug and Proportion of Mutated Strains

Table 2 Estimation Results of Logistic Regression for Death with Proportion of the Mutated Strains and with and without Administered Drugs

Table 3 Estimation Results of Logistic Regression for Death with Administered Drugs and Periods of Waves When the Mutated Strains Were Dominant