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Risk factors associated with hospitalization in patients with asymptomatic or mild COVID-19 in public accommodation facilities in Tokyo.
Sakamoto, Yohei; Satoh, Kenichi; Tanaka, Takuma; Yamaguchi, Takayuki; Miyamoto, Tomomi; Sawaki, Kenji; Miyajima, Makiko; Nakaharai, Kazuhiko; Hoshina, Tokio; Horino, Tetsuya; Nakazawa, Yasushi; Ikenoue, Tatsuyoshi; Yoshida, Masaki.
  • Sakamoto Y; The Jikei University School of Medicine, 3-25-8, Nishi-Shimbashi, Minato-ku, Tokyo, 105-8461, Japan. Electronic address: yohy.skmt@gmail.com.
  • Satoh K; Data Science and AI Innovation Research Promotion Center, Shiga University, 1-1-1 Banba, Hikone, 522-8522, Japan.
  • Tanaka T; Data Science and AI Innovation Research Promotion Center, Shiga University, 1-1-1 Banba, Hikone, 522-8522, Japan.
  • Yamaguchi T; Data Science and AI Innovation Research Promotion Center, Shiga University, 1-1-1 Banba, Hikone, 522-8522, Japan.
  • Miyamoto T; The Jikei University School of Medicine, 3-25-8, Nishi-Shimbashi, Minato-ku, Tokyo, 105-8461, Japan.
  • Sawaki K; The Jikei University School of Medicine, 3-25-8, Nishi-Shimbashi, Minato-ku, Tokyo, 105-8461, Japan.
  • Miyajima M; The Jikei University School of Medicine, 3-25-8, Nishi-Shimbashi, Minato-ku, Tokyo, 105-8461, Japan.
  • Nakaharai K; The Jikei University School of Medicine, 3-25-8, Nishi-Shimbashi, Minato-ku, Tokyo, 105-8461, Japan.
  • Hoshina T; The Jikei University School of Medicine, 3-25-8, Nishi-Shimbashi, Minato-ku, Tokyo, 105-8461, Japan.
  • Horino T; The Jikei University School of Medicine, 3-25-8, Nishi-Shimbashi, Minato-ku, Tokyo, 105-8461, Japan.
  • Nakazawa Y; The Jikei University School of Medicine, 3-25-8, Nishi-Shimbashi, Minato-ku, Tokyo, 105-8461, Japan.
  • Ikenoue T; Data Science and AI Innovation Research Promotion Center, Shiga University, 1-1-1 Banba, Hikone, 522-8522, Japan.
  • Yoshida M; The Jikei University School of Medicine, 3-25-8, Nishi-Shimbashi, Minato-ku, Tokyo, 105-8461, Japan.
J Infect Chemother ; 28(10): 1439-1444, 2022 Oct.
Article in English | MEDLINE | ID: covidwho-1885917
ABSTRACT

INTRODUCTION:

In Japan, patients with coronavirus disease 2019 (COVID-19) who do not require medical intervention are provided care in recovery accommodation facilities (RAFs). However, some patients may require hospitalization if their symptoms become more severe during their stay. We conducted an observational study using epidemiological data of patients with COVID-19 admitted to RAFs in Tokyo.

METHODS:

This was an observational cohort study using data from COVID-19 patients admitted to one of the RAFs in Tokyo from December 2020 to November 2021. Admissions to the facilities were limited to patients with asymptomatic or mild COVID-19 with no underlying disease or at least stable underlying disease at the time of admission. Patients were hospitalized when they required oxygen administration or when they had, or persistent fever, or severe respiratory symptoms. We evaluated the association between hospitalization and the risk factors for hospitalization using a Cox regression model.

RESULTS:

The number of patients with COVID-19 admitted to the RAF was 6176. The number of hospitalized patients was 393 (6.4%), and the median length of stay was 5.50 days (IQR 4.50, 6.50). In the Cox regression analysis, the hazard ratio increased with age and was significantly higher among patients aged >60 years (HR = 10.23, 95% CI 6.72-15.57) than those in other age groups. This trend is similar to that observed in the sensitivity analysis.

CONCLUSION:

Patients with diabetes, the elderly, obesity, and medications for gout and psychiatric diseases may be at a high risk of hospitalization. In particular, an age over 60 years was strongly associated with hospitalization.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Cohort study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Topics: Long Covid Limits: Aged / Humans Country/Region as subject: Asia Language: English Journal: J Infect Chemother Journal subject: Microbiology / Drug Therapy Year: 2022 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Cohort study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Topics: Long Covid Limits: Aged / Humans Country/Region as subject: Asia Language: English Journal: J Infect Chemother Journal subject: Microbiology / Drug Therapy Year: 2022 Document Type: Article