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Neutrophil count predicts clinical outcome in hospitalized COVID-19 patients: Results from the NOR-Solidarity trial.

作者信息

Kåsine Trine, Dyrhol-Riise Anne Ma, Barratt-Due Andreas, Kildal Anders Benjamin, Olsen Inge Christoffer, Nezvalova-Henriksen Katerina, Lund-Johansen Fridtjof, Hoel Hedda, Holten Aleksander Rygh, Tveita Anders, Mathiessen Alexander, Haugli Mette, Eiken Ragnhild, Berg Åse, Johannessen Asgeir, Heggelund Lars, Dahl Tuva Børresdatter, Halvorsen Bente, Mielnik Pawel, Le Lan Ai Kieu, Thoresen Lars, Ernst Gernot, Hoff Dag Arne Lihaug, Skudal Hilde, Kittang Bård Reiakvam, Olsen Roy Bjørkholt, Tholin Birgitte, Ystrøm Carl Magnus, Skei Nina Vibeche, Hannula Raisa, Dalgard Olav, Finbråten Ane-Kristine, Tonby Kristian, Aballi Saad, Müller Fredrik, Mohn Kristin Greve-Isdahl, Trøseid Marius, Aukrust Pål, Ueland Thor

机构信息

Division of Critical Care and Emergencies, Oslo University Hospital, Oslo, Norway.

Department of Anesthesiology and Intensive Care, University Hospital of North Norway, Tromsø, Norway.

出版信息

J Intern Med. 2022 Feb;291(2):241-243. doi: 10.1111/joim.13377. Epub 2021 Oct 3.

DOI:10.1111/joim.13377
PMID:34411368
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8447398/
Abstract
摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/69da/10138732/d588873ea99c/JOIM-291-241-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/69da/10138732/d588873ea99c/JOIM-291-241-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/69da/10138732/d588873ea99c/JOIM-291-241-g001.jpg

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Ann Intern Med. 2021 Sep;174(9):1261-1269. doi: 10.7326/M21-0653. Epub 2021 Jul 13.
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Co-infections, secondary infections, and antimicrobial use in patients hospitalised with COVID-19 during the first pandemic wave from the ISARIC WHO CCP-UK study: a multicentre, prospective cohort study.在国际严重急性呼吸系统与传染病联盟-世界卫生组织合作中心英国队列研究中，对首次大流行浪潮期间因 COVID-19 住院的患者中的合并感染、继发感染和抗菌药物使用情况进行的一项多中心、前瞻性队列研究。
Lancet Microbe. 2021 Aug;2(8):e354-e365. doi: 10.1016/S2666-5247(21)00090-2. Epub 2021 Jun 2.
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Viruses. 2024 Oct 29;16(11):1683. doi: 10.3390/v16111683.
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Predictive modeling of COVID-19 mortality risk in chronic kidney disease patients using multiple machine learning algorithms.使用多种机器学习算法预测慢性肾脏病患者 COVID-19 死亡率风险。
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