COVID-19 - what should anaethesiologists and intensivists know about it?

被引:95
作者
Wujtewicz, Magdalena A. [1 ]
Dylczyk-Sommer, Anna [1 ]
Aszkielowicz, Aleksander [1 ]
Zdanowski, Szymon [2 ]
Piwowarczyk, Sebastian [2 ]
Owczuk, Radoslaw [1 ]
机构
[1] Med Univ Gdansk, Dept Anaesthesiol & Intens Therapy, Gdansk, Poland
[2] Med Univ Gdansk, Students Sci Soc, Gdansk, Poland
关键词
viruses; SARS-CoV-2; infection; COVID-19; acute pneumonia; acute respiratory distress syndrome (ARDS); CORONAVIRUS;
D O I
10.5114/ait.2020.93756
中图分类号
R614 [麻醉学];
学科分类号
100217 ;
摘要
Over the past three months, the world has faced an unprecedented health hazard. The World Health Organization has announced a pandemia infection with an unknown species of coronavirus called SARS-CoV-2. Spreading mainly through the droplet route, the virus causes mild symptoms in the majority of cases, the most common being: fever (80%), dry cough (56%), fatigue (22%) and muscle pain (7%); less common symptoms include a sore throat, a runny nose, diarrhea, hemoptysis and chills. A life-threatening complication of SARS-CoV-2 infection is an acute respiratory distress syndrome (ARDS), which occurs more often in older adults, those with immune disorders and co-morbidities. Severe forms of the infection, being an indication for treatment in the intensive care unit, comprise acute lung inflammation, ARDS, sepsis and septic shock. The article presents basic information about etiology, pathogenesis and diagnostics (with particular emphasis on the importance of tomocomputer imaging), clinical picture, treatment and prevention of the infection. It goes on to emphasize the specific risks of providing anesthesiology and intensive care services. Due to the fact that effective causal treatment is not yet available and the number of infections and deaths increases day by day, infection prevention and strict adherence to recommendations of infection control organizations remain the basis for fighting the virus.
引用
收藏
页码:34 / 41
页数:8
相关论文
共 35 条
  • [1] [Anonymous], 2003, Consensus Document on the Epidemiology of Severe Acute Respiratory Syndrome (Sars), V11, P1
  • [2] [Anonymous], 2020, J. Infect, DOI [10.1016/j.jinf.2020.02.010, DOI 10.1016/J.JINF.2020.02.010]
  • [3] Incubation period of 2019 novel coronavirus (2019-nCoV) infections among travellers from Wuhan, China, 20-28 January 2020
    Backer, Jantien A.
    Klinkenberg, Don
    Wallinga, Jacco
    [J]. EUROSURVEILLANCE, 2020, 25 (05) : 10 - 15
  • [4] BOUADMA L, 2020, INTENS CARE MED 0226
  • [5] RNA based mNGS approach identifies a novel human coronavirus from two individual pneumonia cases in 2019 Wuhan outbreak
    Chen, Liangjun
    Liu, Weiyong
    Zhang, Qi
    Xu, Ke
    Ye, Guangming
    Wu, Weichen
    Sun, Ziyong
    Liu, Fang
    Wu, Kailang
    Zhong, Bo
    Mei, Yi
    Zhang, Wenxia
    Chen, Yu
    Li, Yirong
    Shi, Mang
    Lan, Ke
    Liu, Yingle
    [J]. EMERGING MICROBES & INFECTIONS, 2020, 9 (01) : 313 - 319
  • [6] Origin and evolution of pathogenic coronaviruses
    Cui, Jie
    Li, Fang
    Shi, Zheng-Li
    [J]. NATURE REVIEWS MICROBIOLOGY, 2019, 17 (03) : 181 - 192
  • [7] Characteristics of and Public Health Responses to the Coronavirus Disease 2019 Outbreak in China
    Deng, Sheng-Qun
    Peng, Hong-Juan
    [J]. JOURNAL OF CLINICAL MEDICINE, 2020, 9 (02)
  • [8] Identification of a novel coronavirus in patients with severe acute respiratory syndrome
    Drosten, C
    Günther, S
    Preiser, W
    van der Werf, S
    Brodt, HR
    Becker, S
    Rabenau, H
    Panning, M
    Kolesnikova, L
    Fouchier, RAM
    Berger, A
    Burguière, AM
    Cinatl, J
    Eickmann, M
    Escriou, N
    Grywna, K
    Kramme, S
    Manuguerra, JC
    Müller, S
    Rickerts, V
    Stürmer, M
    Vieth, S
    Klenk, HD
    Osterhaus, ADME
    Schmitz, H
    Doerr, HW
    [J]. NEW ENGLAND JOURNAL OF MEDICINE, 2003, 348 (20) : 1967 - 1976
  • [9] Guan WJ, 2020, NEW ENGL J MED, V382, P1861, DOI 10.1056/NEJMc2005203
  • [10] Predicting biomarkers from classifier for liver metastasis of colorectal adenocarcinomas using machine learning models
    Han Shuwen
    Yang Xi
    Zhou Qing
    Zhuang Jing
    Wu Wei
    [J]. CANCER MEDICINE, 2020, 9 (18): : 6667 - 6678