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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.

ABSTRACT: 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.

SUBMITTER: Liang WH

PROVIDER: S-EPMC7144336 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature

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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.

Liang Wen-Hua WH Guan Wei-Jie WJ Li Cai-Chen CC Li Yi-Min YM Liang Heng-Rui HR Zhao Yi Y Liu Xiao-Qing XQ Sang Ling L Chen Ru-Chong RC Tang Chun-Li CL Wang Tao T Wang Wei W He Qi-Hua QH Chen Zi-Sheng ZS Wong Sook-San SS Zanin Mark M Liu Jun J Xu Xin X Huang Jun J Li Jian-Fu JF Ou Li-Min LM Cheng Bo B Xiong Shan S Xie Zhan-Hong ZH Ni Zheng-Yi ZY Hu Yu Y Liu Lei L Shan Hong H Lei Chun-Liang CL Peng Yi-Xiang YX Wei Li L Liu Yong Y Hu Ya-Hua YH Peng Peng P Wang Jian-Ming JM Liu Ji-Yang JY Chen Zhong Z Li Gang G Zheng Zhi-Jian ZJ Qiu Shao-Qin SQ Luo Jie J Ye Chang-Jiang CJ Zhu Shao-Yong SY Cheng Lin-Ling LL Ye Feng F Li Shi-Yue SY Zheng Jin-Ping JP Zhang Nuo-Fu NF Zhong Nan-Shan NS He Jian-Xing JX

The European respiratory journal 20200604 6

<h4>Background</h4>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.<h4>Methods</h4>Collaborating with the National Health Commission ...[more]

PMID: 32269086

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Project description:ObjectiveOlder adults with co-morbidities have been reported to be at higher risk for adverse outcomes of coronavirus disease 2019 (COVID-19). The characteristics of COVID-19 in older patients and its clinical outcomes in different kidney disease groups are not well known.MethodsData were retrieved from a national multicentric database supported by Turkish Society of Nephrology, which consists of retrospectively collected data between 17 April 2020 and 31 December 2020. Hospitalised patients aged 18 years or older with confirmed COVID-19 diagnosis suffering from stage 3-5 chronic kidney disease (CKD) or on maintenance haemodialysis (HD) treatment were included in the database. Non-uraemic hospitalised patients with COVID-19 were also included as the control group.ResultsWe included 879 patients [388 (44.1%) female, median age: 63 (IQR: 50-73) years]. The percentage of older patients in the CKD group was 68.8% (n = 188/273), in the HD group was 49.0% (n = 150/306) and in the control group was 30.4% (n = 70/300). Co-morbidities were higher in the CKD and HD groups. The rate of presentation with severe-critical disease was higher in the older CKD and HD groups (43.6%, 55.3% and 16.1%, respectively). Among older patients, the intensive care unit (ICU) admission rate was significantly higher in the CKD and HD groups than in the control group (38.8%, 37.3% and 15.7%, respectively). In-hospital mortality or death and/or ICU admission rates in the older group were significantly higher in the CKD (29.3% and 39.4%) and HD groups (26.7% and 30.1%) compared with the control group (8.6% and 17.1%). In the multivariate analysis, in-hospital mortality rates in CKD and HD groups were higher than control group [hazard ratio (HR): 4.33 (95% confidence interval [CI]: 1.53-12.26) and HR: 3.09 (95% CI: 1.04-9.17), respectively].ConclusionAmong older COVID-19 patients, in-hospital mortality is significantly higher in those with stage 3-5 CKD and on maintenance HD than older patients without CKD regardless of demographic characteristics, co-morbidities, clinical and laboratory data on admission.

Project description:ObjectivesLittle is known about contemporary characteristics and management of valvular heart disease (VHD) in China. This study aimed to examine the clinical characteristics, aetiology and type of VHD, interventions and in-hospital outcomes of patients with VHD hospitalised in China.MethodsWe used a two-stage random sampling design to create a nationally representative sample of patients with VHD hospitalised in 2015 in China and included adult patients with mild, moderate or severe VHD. We abstracted data from medical records, including echocardiogram reports, on patient characteristics, aetiology, type and severity of VHD, interventions and in-hospital outcomes. We weighted our findings to estimate nationally representative hospitalisations. We performed multivariable logistic regression analysis to identify factors associated with valve intervention.ResultsIn 2015, 38 841 patients with VHD were hospitalised in 188 randomly sampled hospitals, representing 662 384 inpatients with VHD in China. We sampled 9363 patients, mean age 68.7 years (95% CI 42.2 to 95.2) and 46.8% (95% CI 45.8% to 47.8%) male, with an echocardiogram. Degenerative origin was the predominant aetiology overall (33.3%, 95% CI 32.3% to 34.3%), while rheumatic origin was the most frequent aetiology among patients with VHD as the primary diagnosis (37.4%, 95% CI 35.9% to 38.8%). Rheumatic origin was also the most common aetiology among patients with moderate or severe VHD (27.3%, 95% CI 25.6% to 29.0% and 33.6%, 95% CI 31.9% to 35.2%, respectively). The most common VHD was mitral regurgitation (79.1%, 95% CI 78.2% to 79.9%), followed by tricuspid regurgitation (77.4%, 95% CI 76.5% to 78.2%). Among patients with a primary diagnosis of severe VHD who were admitted to facilities capable of valve intervention, 35.6% (95% CI 33.1% to 38.1%) underwent valve intervention during the hospitalisation. The likelihood of intervention decreased significantly among patients with higher operative risk.ConclusionsAmong patients with VHD hospitalised in China, the predominant aetiology was degenerative in origin; among patients with moderate or severe VHD, rheumatic origin was the most common aetiology. Targeted strategies and policies should be promoted to address degenerative VHD. Patients with severe VHD may be undertreated, particularly those with high operative risk.

Project description:The gut microbiota (GM) and its potential functions play a crucial role in maintaining host health and longevity. The aim of this study was to investigate the potential relationship between GM and longevity. We collected fecal samples from 92 healthy volunteers (middle-aged and elderly: 43-79 years old; longevity: ≥ 90 years old) from Changshou Town, Zhongxiang City, Hubei, China. In addition, we collected samples from 30 healthy middle-aged and elderly controls (aged 51-70 years) from Wuhan, Hubei. The 16S rDNA V3 + V4 region of the fecal samples was sequenced using high-throughput sequencing technology. Diversity analysis results showed that the elderly group with longevity and the elderly group with low body mass index (BMI) exhibited higher α diversity. However, no significant difference was observed in β diversity. The results of the microbiome composition indicate that Firmicutes, Proteobacteria, and Bacteroidota are the core phyla in all groups. Compared to younger elderly individuals, Akkermansia and Lactobacillus are significantly enriched in the long-lived elderly group, while Megamonas is significantly reduced. In addition, a high abundance of Akkermansia is a significant characteristic of elderly populations with low BMI values. Furthermore, the functional prediction results showed that the elderly longevity group had higher abilities in short-chain fatty acid metabolism, amino acid metabolism, and xenobiotic biodegradation. Taken together, our study provides characteristic information on GM in the long-lived elderly population in Changshou Town. This study can serve as a valuable addition to the current research on age-related GM. KEY POINTS: • The gut microbiota of elderly individuals with longevity and low BMI exhibit higher alpha diversity • Gut microbiota diversity did not differ significantly between genders in the elderly population • Several potentially beneficial bacteria (e.g., Akkermansia and Lactobacillus) are enriched in long-lived individuals.

Project description:BackgroundThe coronavirus disease 2019 (COVID-19) epidemic, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), began in Wuhan city, Hubei province, in December, 2019, and has spread throughout China. Understanding the evolving epidemiology and transmission dynamics of the outbreak beyond Hubei would provide timely information to guide intervention policy.MethodsWe collected individual information from official public sources on laboratory-confirmed cases reported outside Hubei in mainland China for the period of Jan 19 to Feb 17, 2020. We used the date of the fourth revision of the case definition (Jan 27) to divide the epidemic into two time periods (Dec 24 to Jan 27, and Jan 28 to Feb 17) as the date of symptom onset. We estimated trends in the demographic characteristics of cases and key time-to-event intervals. We used a Bayesian approach to estimate the dynamics of the net reproduction number (Rt) at the provincial level.FindingsWe collected data on 8579 cases from 30 provinces. The median age of cases was 44 years (33-56), with an increasing proportion of cases in younger age groups and in elderly people (ie, aged >64 years) as the epidemic progressed. The mean time from symptom onset to hospital admission decreased from 4·4 days (95% CI 0·0-14·0) for the period of Dec 24 to Jan 27, to 2·6 days (0·0-9·0) for the period of Jan 28 to Feb 17. The mean incubation period for the entire period was estimated at 5·2 days (1·8-12·4) and the mean serial interval at 5·1 days (1·3-11·6). The epidemic dynamics in provinces outside Hubei were highly variable but consistently included a mixture of case importations and local transmission. We estimated that the epidemic was self-sustained for less than 3 weeks, with mean Rt reaching peaks between 1·08 (95% CI 0·74-1·54) in Shenzhen city of Guangdong province and 1·71 (1·32-2·17) in Shandong province. In all the locations for which we had sufficient data coverage of Rt, Rt was estimated to be below the epidemic threshold (ie, <1) after Jan 30.InterpretationOur estimates of the incubation period and serial interval were similar, suggesting an early peak of infectiousness, with possible transmission before the onset of symptoms. Our results also indicate that, as the epidemic progressed, infectious individuals were isolated more quickly, thus shortening the window of transmission in the community. Overall, our findings indicate that strict containment measures, movement restrictions, and increased awareness of the population might have contributed to interrupt local transmission of SARS-CoV-2 outside Hubei province.FundingNational Science Fund for Distinguished Young Scholars, National Institute of General Medical Sciences, and European Commission Horizon 2020.

Dataset Information

Clinical characteristics and outcomes of hospitalised patients with COVID-19 treated in Hubei (epicentre) and outside Hubei (non-epicentre): a nationwide analysis of China.

Publications

Clinical characteristics and outcomes of hospitalised patients with COVID-19 treated in Hubei (epicentre) and outside Hubei (non-epicentre): a nationwide analysis of China.

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