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10.1183/13993003.00562-2020

http://scihub22266oqcxt.onion/10.1183/13993003.00562-2020
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32269086!7144336!32269086
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suck abstract from ncbi


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pmid32269086      Eur+Respir+J 2020 ; 55 (6): ä
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  • Clinical characteristics and outcomes of hospitalised patients with COVID-19 treated in Hubei (epicentre) and outside Hubei (non-epicentre): a nationwide analysis of China #MMPMID32269086
  • Liang WH; Guan WJ; Li CC; Li YM; Liang HR; Zhao Y; Liu XQ; Sang L; Chen RC; Tang CL; Wang T; Wang W; He QH; Chen ZS; Wong SS; Zanin M; Liu J; Xu X; Huang J; Li JF; Ou LM; Cheng B; Xiong S; Xie ZH; Ni ZY; Hu Y; Liu L; Shan H; Lei CL; Peng YX; Wei L; Liu Y; Hu YH; Peng P; Wang JM; Liu JY; Chen Z; Li G; Zheng ZJ; Qiu SQ; Luo J; Ye CJ; Zhu SY; Cheng LL; Ye F; Li SY; Zheng JP; Zhang NF; Zhong NS; He JX
  • Eur Respir J 2020[Jun]; 55 (6): ä PMID32269086show ga
  • BACKGROUND: During the outbreak of coronavirus disease 2019 (COVID-19), consistent and considerable differences in disease severity and mortality rate of patients treated in Hubei province compared to those in other parts of China have been observed. We sought to compare the clinical characteristics and outcomes of patients being treated inside and outside Hubei province, and explore the factors underlying these differences. METHODS: Collaborating with the National Health Commission, we established a retrospective cohort to study hospitalised COVID-19 cases in China. Clinical characteristics, the rate of severe events and deaths, and the time to critical illness (invasive ventilation or intensive care unit admission or death) were compared between patients within and outside Hubei. The impact of Wuhan-related exposure (a presumed key factor that drove the severe situation in Hubei, as Wuhan is the epicentre as well the administrative centre of Hubei province) and the duration between symptom onset and admission on prognosis were also determined. RESULTS: At the data cut-off (31 January 2020), 1590 cases from 575 hospitals in 31 provincial administrative regions were collected (core cohort). The overall rate of severe cases and mortality was 16.0% and 3.2%, respectively. Patients in Hubei (predominantly with Wuhan-related exposure, 597 (92.3%) out of 647) were older (mean age 49.7 versus 44.9 years), had more cases with comorbidity (32.9% versus 19.7%), higher symptomatic burden, abnormal radiologic manifestations and, especially, a longer waiting time between symptom onset and admission (5.7 versus 4.5 days) compared with patients outside Hubei. Patients in Hubei (severe event rate 23.0% versus 11.1%, death rate 7.3% versus 0.3%, HR (95% CI) for critical illness 1.59 (1.05-2.41)) have a poorer prognosis compared with patients outside Hubei after adjusting for age and comorbidity. However, among patients outside Hubei, the duration from symptom onset to hospitalisation (mean 4.4 versus 4.7 days) and prognosis (HR (95%) 0.84 (0.40-1.80)) were similar between patients with or without Wuhan-related exposure. In the overall population, the waiting time, but neither treated in Hubei nor Wuhan-related exposure, remained an independent prognostic factor (HR (95%) 1.05 (1.01-1.08)). CONCLUSION: There were more severe cases and poorer outcomes for COVID-19 patients treated in Hubei, which might be attributed to the prolonged duration of symptom onset to hospitalisation in the epicentre. Future studies to determine the reason for delaying hospitalisation are warranted.
  • |*Hospitalization[MESH]
  • |Adult[MESH]
  • |Aged[MESH]
  • |Betacoronavirus[MESH]
  • |COVID-19[MESH]
  • |Cardiovascular Diseases/epidemiology[MESH]
  • |China[MESH]
  • |Cohort Studies[MESH]
  • |Comorbidity[MESH]
  • |Coronavirus Infections/complications/diagnostic imaging/*mortality[MESH]
  • |Cough/etiology[MESH]
  • |Diabetes Mellitus/epidemiology[MESH]
  • |Disease Outbreaks[MESH]
  • |Dyspnea/etiology[MESH]
  • |Fatigue/etiology[MESH]
  • |Female[MESH]
  • |Fever/etiology[MESH]
  • |Geography[MESH]
  • |Humans[MESH]
  • |Hypertension/epidemiology[MESH]
  • |Intensive Care Units/statistics & numerical data[MESH]
  • |Lung/diagnostic imaging[MESH]
  • |Male[MESH]
  • |Middle Aged[MESH]
  • |Pandemics[MESH]
  • |Pharyngitis/etiology[MESH]
  • |Pneumonia, Viral/complications/diagnostic imaging/*mortality[MESH]
  • |Prognosis[MESH]
  • |Proportional Hazards Models[MESH]
  • |Respiration, Artificial/statistics & numerical data[MESH]
  • |Retrospective Studies[MESH]
  • |SARS-CoV-2[MESH]
  • |Severity of Illness Index[MESH]
  • |Time Factors[MESH]
  • |Time-to-Treatment/statistics & numerical data[MESH]


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