Wuchang Fangcang Shelter Hospital: Practices, Experiences, and Lessons Learned in Controlling COVID-19

Shen, Bingzheng; Chen, Li; Zhang, Lu; Zhang, Mengke; Li, Jing; Wu, Jie; Chen, Kunlin; Xiong, Yuanguo; Song, Wei; Zhou, Benhong

doi:10.1007/s42399-020-00382-1

Cited by 14 publications

(16 citation statements)

References 11 publications

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“…For developing an optimal individualized prediction model for the critical illness evidence, 25 candidate variables related to demographics and clinical characteristics 20,22 were reduced to 6 potential predictors by verifying the predictor‐outcome association using the Box‐Tidwell test and binary logistic regression analysis. Consistent with the conclusions documented by recent studies, old age, comorbidity diseases, NLR, CRP, d ‐dimer, and platelet count were identified as predictive factors for the severity or poor outcome of COVID‐19 11,23–27 . The vulnerability of patients infected with SAS‐CoV2 could largely be augmented by comorbid conditions 28 .…”

Section: Discussionsupporting

confidence: 81%

Development and validation of a simplified nomogram predicting individual critical illness of risk in COVID‐19: A retrospective study

Cui

et al. 2020

Journal of Medical Virology

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This study aims to screen useful predictors of critical cases among coronavirus disease 2019 (COVID‐19) patients and to develop a simple‐to‐use nomogram for clinical utility. A retrospective study was conducted that consisted of a primary cohort with 315 COVID‐19 patients and two validation cohorts with 69 and 123 patients, respectively. Logistic regression analyses were used to identify the independent risks of progression to critical. An individualized prediction model was developed, and calibration, decision curve, and clinical impact curves were used to assess the performance of the model. External validations for the predictive nomogram were also provided. The variables of age, comorbid diseases, neutrophil‐to‐lymphocyte ratio, d‐dimer, C‐reactive protein, and platelet count were estimated to be independent predictors of progression to critical, which were incorporated to establish a model of the nomogram. It demonstrated good discrimination (with a C‐index of 0.923) and calibration. Good discrimination (C‐index, 0.882 and 0.906) and calibration were also noted on applying the nomogram in two validation cohorts. The clinical relevance of the nomogram was justified by the decision curve and clinical impact curve analysis. This study presents an individualized prediction nomogram incorporating six clinical characteristics, which can be conveniently applied to assess an individual's risk of progressing to critical COVID‐19.

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Section: Discussionsupporting

confidence: 81%

Development and validation of a simplified nomogram predicting individual critical illness of risk in COVID‐19: A retrospective study

Cui

et al. 2020

Journal of Medical Virology

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“…Patients with comorbidities are particularly vulnerable to the virus [4,20], and there are several risk factors that have been associated with a worse prognosis [3,21,22]. The prompt diagnosis, isolation and treatment of patients is crucial [23]. Every clinician should be prepared for facing the virus, as the pandemic has extended worldwide causing hundreds of thousands of deaths and millions of cases [2].…”

Section: Discussionmentioning

confidence: 99%

Factors associated with the presence of headache in hospitalized COVID-19 patients and impact on prognosis: a retrospective cohort study

et al. 2020

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Introduction: Headache is one of the most frequent neurologic manifestations in COVID-19. We aimed to analyze which symptoms and laboratory abnormalities were associated with the presence of headache and to evaluate if patients with headache had a higher adjusted in-hospital risk of mortality. Methods: Retrospective cohort study. We included all consecutive patients admitted to the Hospital with confirmed SARS-CoV-2 infection between March 8th and April 11th, 2020. We collected demographic data, clinical variables and laboratory abnormalities. We used multivariate regression analysis. Results: During the study period, 576 patients were included, aged 67.2 (SD: 14.7), and 250/576 (43.3%) being female. Presence of headache was described by 137 (23.7%) patients. The all-cause in-hospital mortality rate was 127/576 (20.0%). In the multivariate analysis, patients with headache had a lower risk of mortality (OR: 0.39, 95% CI: 0.17-0.88, p = 0.007). After adjusting for multiple comparisons in a multivariate analysis, variables that were independently associated with a higher odds of having headache in COVID-19 patients were anosmia, myalgia, female sex and fever; variables that were associated with a lower odds of having headache were younger age, lower score on modified Rankin scale, and, regarding laboratory variables on admission, increased C-reactive protein, abnormal platelet values, lymphopenia and increased D-dimer. Conclusion: Headache is a frequent symptom in COVID-19 patients and its presence is an independent predictor of lower risk of mortality in COVID-19 hospitalized patients.

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“…This current report summarizes the relevant experience and analyzed the key issues so as to assist in further constructing and perfecting the medical emergency management system under crisis conditions (2)(3)(4).…”

Section: Brief Reportmentioning

confidence: 99%

Practice and experience of regional medical center entrance linkage and closed-loop management under the wartime situation of the COVID-19 in China

Bai¹,

Geng²,

Wang³

et al. 2022

Ann Transl Med

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On 28 July 2021, the first indigenous case of novel coronavirus pneumonia emerged in Yangzhou, marking the beginning of a public health crisis caused by the new coronavirus pneumonia. It is a significant challenge for hospitals to carry out prevention and control measures to ensure the safety of medical professionals and patients when facing the changes in an epidemic situation. Subei People's Hospital, as one of the first group of "Grade III-class A" hospitals in Jiangsu Province and the Yangzhou Regional Medical Centre, responded quickly and scientifically to prevent and control the disease.A closed-loop management system was implemented at the hospital entrance (consisting of the outpatient clinic, emergency clinic, fever clinic, and buffer ward) and an epidemic prevention and control group was established with the assistance of multiple departments. This group optimized the pre-screening and triage system, standardized the fever clinic consultation process, and improved the construction of an informationbased prevention and control network so that patients were detected, diagnosed, isolated, and treated early.The emergency management capability was improved to achieve zero missed consultations of patients attending for COVID-19 and to effectively maintain medical order during this critical period. This current report systematically summarizes the operational practices and the effectiveness achieved by implementation of the entrance closed-loop management in the hospital and analyzed the key operational issues for future reference by medical institutions and management departments.

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Wuchang Fangcang Shelter Hospital: Practices, Experiences, and Lessons Learned in Controlling COVID-19

Cited by 14 publications

References 11 publications

Development and validation of a simplified nomogram predicting individual critical illness of risk in COVID‐19: A retrospective study

Development and validation of a simplified nomogram predicting individual critical illness of risk in COVID‐19: A retrospective study

Factors associated with the presence of headache in hospitalized COVID-19 patients and impact on prognosis: a retrospective cohort study

Practice and experience of regional medical center entrance linkage and closed-loop management under the wartime situation of the COVID-19 in China

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