Figure AA. The cumulative incidence functions for the time it took for patient discharge. The 50% and 90% cumulative incidence of discharge were labeled in the graph (n=165,760). B. Average length of hospital stay for different age groups. Results were presented as violin plots. One-way ANOVA with Dunnett's multiple comparison tests were performed for any age group compared to the age group 20-29 (control), **** P<0.0001 (n=165,760). C. Average length of hospital stay for patients with or without chronic diseases. Results of patients with (+) or without (-) hypertension or diabetes were analyzed. Unpaired t-tests, **** P<0.0001 (Hypertension n=2,707, Diabetes n=1,096, Total n=37,825). D. Impact of patient source on the average length of hospital stays. Results of patients discovered at their local community or in the fever clinic were shown. Unpaired t-tests, **** P<0.0001 (Community n=24,479, Fever Clinic n=13,346, Total n=37,825). E. Impact of vaccination status and vaccine production company on the average length of hospital stays. Left: results of unvaccinated (-) or vaccinated (+) patients of different doses were shown. Right: results of different vaccine companies including SINOVAC BIOTECH, Beijing Institute of Biological products, CanSino Biologics Inc, Wuhan Institute of Biological Products, Zhifei Longcom Biopharmaceutical. Unpaired t-tests (left) and one-way ANOVA (right), (ns= not significant). (Unvaccinated n=10,984, Vaccinated n=26,841; SINOVAC BIOTECH n=28,454, Beijing Institute of Biological products n=6,531, CanSino Biologics Inc n=601, Wuhan Institute of Biological Products n=1,405, Zhifei Longcom Biopharmaceutical n=426).
A detailed examination of the age cohorts revealed young adults (age 20-29) were the fastest to recover (6.67 ± 2.75 days), while children (age 80) needed the longest length of stay to turn negative, with an average of 7.47 ± 3.01 days and 8.42 ± 3.99 days, respectively. There was also a clear trend that as adults age they gradually recover slower from the infections (Figure B). Out of the total 165,760 cases admitted at the Fangcang shelter hospital, 37,825 cases had detailed information about the origin of the patients, their accompanying medical conditions, and vaccination history and enabled further analysis. Notably, patients with chronic illnesses such as diabetes and hypertension took remarkably longer to recover compared to the unaffected population (Figure C). This emphasized the importance to protect the chronically ill populations, as reported before.6Semenzato L Botton J Drouin J et al.Chronic diseases, health conditions and risk of COVID-19-related hospitalization and in-hospital mortality during the first wave of the epidemic in France: a cohort study of 66 million people. Interestingly, the patients who were discovered at the fever clinic were discharged much quicker than patients who were screened from the community (Figure D). This may be explained by a theory that the latter was often asymptomatic and therefore at the preliminary stage of infection, while the former was frequently symptomatic and therefore at a later stage of disease of the natural history of COVID-19 infection.7Natural history of COVID-19 and current knowledge on treatment therapeutic options. Furthermore, we examined the impact of vaccination on hospital stay, yet found out that neither vaccination nor types of vaccine made remarkable differences (Figure E). The little difference could be partially explained by the relatively mild nature of Omicron infection as the majority (∼90%) of patients recovered within 10 days. The immune evasion due to epitope drifting is another possible explanation as the Omicron variant has mutated significantly compared to the original strain used for the generation of the approved vaccines in China. The impact of vaccination to reduce the incidence of severe cases or death rates was not examined in this cohort as Fangcang shelter hospitals only handle asymptomatic cases or patients with mild to moderate symptoms.To conclude, we have provided the largest dataset of COVID-19 naturally recovered cases at the Fangcang shelter hospital which may serve as an excellent reference for public sectors, policymakers and healthcare professionals to assess the pandemic control strategies and better understand the disease characteristics of mild or asymptomatic COVID-19 patients. The Fangcang shelter hospital model in Shanghai has once again demonstrated its significance as a critical measure for patient care and pandemic control and has fulfilled the goal of China's “Dynamic Zero” policy. All in all, while the dawn of victory lies ahead for this wave of the Omicron epidemic in Shanghai, the tug of war between mankind and COVID-19 or other types of infectious disease continues. The Shanghai experience shared here may advance people's understanding of the SARS-CoV-2 Omicron variant as well as the use of Fangcang shelter hospitals. This may help prepare society for the epidemics to come.
Author contributionsL.Y performed data curation, formal analysis, and wrote the manuscript. W.F.L performed data validation and wrote the manuscript. J.S performed data curation and analysis. Both Z.X and J.J helped in data retrieval and project administration. H.X conceptualized and supervised the study as well as edited the manuscript. All authors contributed to the manuscript revision and read and approved the submitted version.
Highlights•Fangcang shelter hospitals played a vital role to tame Shanghai Omicron outbreak
•Fangcang effectively cut down viral spread and provided sufficient care to patients
•165,760 cases hospitalized at Fangcang revealed Omicron mostly caused mild symptoms
•Patient's age, chronic conditions but not vaccination affected the recovery time
Conflict of InterestsThe authors declare that there is no conflict of interest regarding the publication of this paper.
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Biomed Pharmacother. 129110493Article InfoPublication HistoryPublication stageIn Press Journal Pre-ProofIdentificationDOI: https://doi.org/10.1016/j.jinf.2022.07.006
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