Author: He, Yu; Guo, Zhong-Hua; Wu, Yong-Guang; Li, Rui; Xie, Xie; Fu, De-Hao
Title: Customized treatment protocols for patients with closed fracture in hospitals at varying coronavirus disease 2019 (COVID-19) risk Cord-id: ibxd7540 Document date: 2021_8_30
ID: ibxd7540
Snippet: BACKGROUND: To determine an optimized treatment protocol during the COVID-19 epidemic for patients with closed fracture and delayed surgery. METHODS: The epidemic data of three hospitals, randomly selected from different administrative regions of Wuhan, were analyzed retrospectively from 23 January to 31 March 2020. Changes in the number of confirmed cases per day (cumulative and new) of each region were tracked as a reflection of changing epidemic risk levels. The risk level map was drawn. The
Document: BACKGROUND: To determine an optimized treatment protocol during the COVID-19 epidemic for patients with closed fracture and delayed surgery. METHODS: The epidemic data of three hospitals, randomly selected from different administrative regions of Wuhan, were analyzed retrospectively from 23 January to 31 March 2020. Changes in the number of confirmed cases per day (cumulative and new) of each region were tracked as a reflection of changing epidemic risk levels. The risk level map was drawn. The epidemic status, treatment protocols, and treatment efficiencies for patients with closed fracture in the three hospitals were compared. RESULTS: Overall, 138 patients with closed fracture were admitted. Each hospital had established its own protocol, according to the initial perceived risk. Based on the risk level map, over the study period, the risk levels of the three regions changed independently and were not in sync. All patients recovered and were timely discharged. No staff member was detected with COVID-19. CONCLUSIONS: The COVID-19 risk level of each area is dynamic. To optimize medical resources, avoid cross-infection, and improve efficiency, changes in epidemic risk should be monitored. For patients with closed fracture, treatment protocols should be adjusted according to changes in epidemic risk.
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