Descriptive epidemiology of COVID-19 in Japan 2020: insights from a multihospital database.

coronavirus disease 2019 inpatient medical resource utilization outpatient repurposed drug

Journal

Annals of clinical epidemiology
ISSN: 2434-4338
Titre abrégé: Ann Clin Epidemiol
Pays: Japan
ID NLM: 9918521386206676

Informations de publication

Date de publication:
2023
Historique:
received: 04 03 2022
accepted: 17 08 2022
medline: 29 9 2022
pubmed: 29 9 2022
entrez: 20 3 2024
Statut: epublish

Résumé

Epidemiological data are essential for developing strategies against the current coronavirus disease 2019 (COVID-19) pandemic. Data on COVID-19 epidemiology in Japan are limited owing to a focus on specific regions and patient groups, particularly in the early phase of the pandemic. We investigated COVID-19 epidemiology in Japan in 2020 using a large nationwide multihospital database containing insurance claim records and medical records. Inclusion criteria were inpatient and outpatient referrals for COVID-19 in 2020. We analyzed demographic data, comorbidities, drug use, severe COVID-19 risk, and clinical course of hospitalized patients (including death). We identified 11,868 COVID-19 cases from 56 institutions: 6,440 outpatients and 5,428 inpatients. Of the patients, 53.2% had comorbid conditions, the most common of which was tumor (22.1%), and 56.4% were classed as having a high risk of COVID-19. Pharmacological management patterns were generally consistent between the first and second half of 2020, except for glucocorticoid use. The use of unauthorized medications (hydroxychloroquine, ivermectin, and favipiravir) was infrequent. For hospitalized patients, the median length of stay was 10 days, and 2.4% of patients were admitted to intensive care units. Post-COVID-19 all-cause mortality, all-cause 30-day mortality, and in-hospital deaths were recorded for 7.9%, 5.4%, and 4.6% of patients, respectively. Patients with high-risk conditions had a lower survival probability. This descriptive study of COVID-19 in 2020 identified differences in care across outpatient and inpatient settings and changes in care delivery as the pandemic progressed. These findings could inform strategies for future infectious disease pandemics.

Sections du résumé

BACKGROUND BACKGROUND
Epidemiological data are essential for developing strategies against the current coronavirus disease 2019 (COVID-19) pandemic. Data on COVID-19 epidemiology in Japan are limited owing to a focus on specific regions and patient groups, particularly in the early phase of the pandemic.
METHODS METHODS
We investigated COVID-19 epidemiology in Japan in 2020 using a large nationwide multihospital database containing insurance claim records and medical records. Inclusion criteria were inpatient and outpatient referrals for COVID-19 in 2020. We analyzed demographic data, comorbidities, drug use, severe COVID-19 risk, and clinical course of hospitalized patients (including death).
RESULTS RESULTS
We identified 11,868 COVID-19 cases from 56 institutions: 6,440 outpatients and 5,428 inpatients. Of the patients, 53.2% had comorbid conditions, the most common of which was tumor (22.1%), and 56.4% were classed as having a high risk of COVID-19. Pharmacological management patterns were generally consistent between the first and second half of 2020, except for glucocorticoid use. The use of unauthorized medications (hydroxychloroquine, ivermectin, and favipiravir) was infrequent. For hospitalized patients, the median length of stay was 10 days, and 2.4% of patients were admitted to intensive care units. Post-COVID-19 all-cause mortality, all-cause 30-day mortality, and in-hospital deaths were recorded for 7.9%, 5.4%, and 4.6% of patients, respectively. Patients with high-risk conditions had a lower survival probability.
CONCLUSIONS CONCLUSIONS
This descriptive study of COVID-19 in 2020 identified differences in care across outpatient and inpatient settings and changes in care delivery as the pandemic progressed. These findings could inform strategies for future infectious disease pandemics.

Identifiants

pubmed: 38505379
doi: 10.37737/ace.23002
pmc: PMC10760473
doi:

Types de publication

Journal Article

Langues

eng

Pagination

5-12

Informations de copyright

© 2023 Society for Clinical Epidemiology.

Déclaration de conflit d'intérêts

SI and TK are employees of Real World Data, Co., Ltd. KK received research funds from Eisai Co., Ltd., Kyowa Kirin Co., Ltd., Sumitomo Dainippon Pharma Co., Ltd., Pfizer Inc., Stella Pharma Corporation, CMIC Co., Ltd., Suntory Beverage & Food Ltd., Mitsubishi Corporation, and Real World Data Co., Ltd.; consulting fees from LEBER Inc., JMDC Inc., Shin Nippon Biomedical Laboratories Ltd., Kaken Pharmaceutical Co., Ltd., and Advanced Medical Care Inc.; executive compensation from Cancer Intelligence Care Systems, Inc.; honorarium from Mitsubishi Chemical Holdings Corporation, Mitsubishi Corporation, Pharma Business Academy, and Toppan Inc.; and holds stock in Real World Data Co., Ltd. MT, NE, and TT have no competing interests relevant to this study.

Auteurs

Masato Takeuchi (M)

Department of Pharmacoepidemiology, Graduate School of Medicine and Public Health, Kyoto University.

Shoichiro Inokuchi (S)

Real World Data Co., Ltd.

Takeshi Kimura (T)

Real World Data Co., Ltd.

Narumi Eguchi (N)

Japan Medical Association Research Institute.

Koji Kawakami (K)

Department of Pharmacoepidemiology, Graduate School of Medicine and Public Health, Kyoto University.

Tai Takahashi (T)

Department of Social Services and Healthcare Management, School of Health and Welfare, International University of Health and Welfare.

Classifications MeSH