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Covid-19: 76% of Hospitalized Patients Reported Symptoms 6 Months Later

Jan 13, 2021 Fatigue and muscle weakness were reported most often More than three-quarters of Covid-19 patients who required hospitalization had related health issues 6 months after SARS-CoV-2 infection in a study of more than 1,700 early patients from Wuhan, China. In all, 76% of patients reported at least one symptom 6 months after hospitalization, with women more likely than men to report ongoing health issues. Fatigue or muscle weakness were the most common lingering symptoms, reported in 63% of the patients followed for a median of 186 days. Sleep difficulties, anxiety, and depression were also commonly reported. The follow-up also revealed significantly lower antibodies against Covid-19 at 6 months, compared to those observed during acute illness, raising concerns about SARS-CoV-2 reinfection in patients who have had the disease.

The Lancet: Most patients hospitalised with COVID-19 have at least one symptom six months after falling ill, Wuhan follow-up study suggests

 E-Mail Study of 1,733 patients first diagnosed in Wuhan (China) between January and May followed to June and September. 76% of COVID-19 patients have at least one symptom six months after symptom onset. Fatigue or muscle weakness is the most common symptom, with sleep difficulties and anxiety or depression also frequently reported. Lower antibodies against COVID-19 in patients six months after becoming ill compared with during acute infection raises concerns about the possibility of re-infection. More than three quarters of COVID-19 patients have at least one ongoing symptom six months after initially becoming unwell, according to research published in The Lancet. The cohort study, looking at long-term effects of COVID-19 infection on people hospitalised in Wuhan, China, reveals that the most common symptom to persist is fatigue or muscle weakness (63% of patients), with patients also frequently experiencing sleep difficulties (26%). Anxiety or depression was reported a

A genome-wide CRISPR-based screen identifies KAT7 as a driver of cellular senescence

1State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China. 2State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China. 3National Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China. 4University of Chinese Academy of Sciences, Beijing 100049, China. 5Beijing Advanced Innovation Center for Genomics, Biomedical Pioneering Innovation Center, School of Life Sciences, Peking University, Beijing 100871, China. 6Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China. 7Advanced Innovation Center for Human Brain Protection, National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital Capital Medical University, Beijing 100053, China.

International research team calls for glocal approach to help mitigate flooding damage

 E-Mail IMAGE: By coupling a large-scale hydrological model with a local-scale, high-resolution hydraulic model and urban flood model while integrating multiple sources of ground and satellite remote sensing data, a Glocal (global. view more  Credit: Advances in Atmospheric Sciences Large-scale global forecasting and on-the-ground observations need to meld into one system to better predict and prevent wide-spread flooding disasters, according to an international research team who published a short view in A glocal global to local hydrometeorological solution for floods is considered to be critical for better preparedness, mitigation, and management of different types of significant precipitation-caused flooding, which happen extensively almost every year and in many countries, such as China, India and the United States, said paper author Huan Wu, professor and deputy director in the Guangdong Province Key Laboratory for Climate Change and Natural Disaster

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