書誌事項
- タイトル別名
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- Experience with a nosocomial cluster of novel coronavirus infection and the cluster response algorithm
- シンガタ コロナウイルス カンセンショウ インナイ クラスター ノ タイオウ ケイケン ト ソコ カラ ミエタ クラスター タイオウ アルゴリズム
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抄録
The novel coronavirus disease (COVID-19) pandemic that began in 2019 is yet to end, as of the summer of 2022. During the pandemic, community-acquired infections spread easily to healthcare-associated facilities, resulting in COVID-19 clusters among high-risk individuals that have been difficult to contain. Our regional base hospital also experienced a nosocomial cluster of COVID-19 in October 2020 that took 30 days to contain and affected 9 hospital staff and 14 patients. Six patients died due to COVID-19, and six died due to COVID-19-related complications. Two patients were discharged alive. Patient characteristics included ① advanced age (79.0±8.1 years), ② dementia (64.3%), ③ low Prognostic Nutrition Index (31.1 ±7.9), ④ zinc deficiency (50.2±13.1μg/dL), ⑤ vitamin C deficiency (1.6±1.9μg/mL), ⑥ elevated urea nitrogen-to-creatinine ratio (27.4±23.5), ⑦ anticancer and immunosuppressive drug use (78.6%), and ⑧ malignancy (75.6%). This cluster had a very high mortality rate, but the viral spread was contained in a short period. Algorithmizing the cluster response was crucial to controlling this cluster. We report on our actual cluster response algorithm, as well as our strategy and response procedure during the pandemic.
収録刊行物
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- 岡山医学会雑誌
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岡山医学会雑誌 135 (1), 22-33, 2023-04-01
岡山医学会
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詳細情報 詳細情報について
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- CRID
- 1390295956280096384
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- NII書誌ID
- AN00032489
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- ISSN
- 18824528
- 00301558
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- NDL書誌ID
- 032818207
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- NDL
- Crossref
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- 抄録ライセンスフラグ
- 使用不可