China approved its first messenger RNA vaccine for COVID-19, clearing a shot from a local drugmaker that harnesses the powerful technology months after the world’s most-populous nation lifted pandemic curbs
hina approved its first messenger RNA vaccine for Covid-19, clearing a shot from a local drugmaker that harnesses the powerful technology months after the world’s most-populous nation abandoned pandemic curbs.
CSPC said the shot demonstrated an efficacy of between 70.2% and 85.3% up to four weeks following its use as a booster in a clinical trial involving 4,000 participants, though it’s not clear what the rates refer to. The company said the vaccine can be stored at 2C to 8C, but didn’t say for how long. The Chinese government hasn’t approved the mRNA shot co-developed by BioNTech SE and Pfizer Inc., despite of a slew of data and applications filed by local partner Shanghai Fosun Pharmaceutical Group Co. It instead depended on inactivated vaccines developed by local state-owned drugmaker Sinopharm and the private firm Sinovac Biotech Ltd. for most of the pandemic.
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Post COVID-19 irritable bowel syndromeObjectives The long-term consequences of COVID-19 infection on the gastrointestinal tract remain unclear. Here, we aimed to evaluate the prevalence of gastrointestinal symptoms and post-COVID-19 disorders of gut–brain interaction after hospitalisation for SARS-CoV-2 infection. Design GI-COVID-19 is a prospective, multicentre, controlled study. Patients with and without COVID-19 diagnosis were evaluated on hospital admission and after 1, 6 and 12 months post hospitalisation. Gastrointestinal symptoms, anxiety and depression were assessed using validated questionnaires. Results The study included 2183 hospitalised patients. The primary analysis included a total of 883 patients (614 patients with COVID-19 and 269 controls) due to the exclusion of patients with pre-existing gastrointestinal symptoms and/or surgery. At enrolment, gastrointestinal symptoms were more frequent among patients with COVID-19 than in the control group (59.3% vs 39.7%, p|0.001). At the 12-month follow-up, constipation and hard stools were significantly more prevalent in controls than in patients with COVID-19 (16% vs 9.6%, p=0.019 and 17.7% vs 10.9%, p=0.011, respectively). Compared with controls, patients with COVID-19 reported higher rates of irritable bowel syndrome (IBS) according to Rome IV criteria: 0.5% versus 3.2%, p=0.045. Factors significantly associated with IBS diagnosis included history of allergies, chronic intake of proton pump inhibitors and presence of dyspnoea. At the 6-month follow-up, the rate of patients with COVID-19 fulfilling the criteria for depression was higher than among controls. Conclusion Compared with controls, hospitalised patients with COVID-19 had fewer problems of constipation and hard stools at 12 months after acute infection. Patients with COVID-19 had significantly higher rates of IBS than controls. Trial registration number [NCT04691895][1]. Data are available upon reasonable request. Data are available on reasonable request. All figures have associated ra
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IMF approves $3bn bailout for Sri Lanka\n\t\t\tKeep abreast of significant corporate, financial and political developments around the world.\n\t\t\tStay informed and spot emerging risks and opportunities with independent global reporting, expert\n\t\t\tcommentary and analysis you can trust.\n\t\t
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An artificial intelligence approach for predicting death or organ failure after hospitalization for COVID-19: development of a novel risk prediction tool and comparisons with ISARIC-4C, CURB-65, qSOFA, and MEWS scoring systems - Respiratory ResearchBackground We applied machine learning (ML) algorithms to generate a risk prediction tool [Collaboration for Risk Evaluation in COVID-19 (CORE-COVID-19)] for predicting the composite of 30-day endotracheal intubation, intravenous administration of vasopressors, or death after COVID-19 hospitalization and compared it with the existing risk scores. Methods This is a retrospective study of adults hospitalized with COVID-19 from March 2020 to February 2021. Patients, each with 92 variables, and one composite outcome underwent feature selection process to identify the most predictive variables. Selected variables were modeled to build four ML algorithms (artificial neural network, support vector machine, gradient boosting machine, and Logistic regression) and an ensemble model to generate a CORE-COVID-19 model to predict the composite outcome and compared with existing risk prediction scores. The net benefit for clinical use of each model was assessed by decision curve analysis. Results Of 1796 patients, 278 (15%) patients reached primary outcome. Six most predictive features were identified. Four ML algorithms achieved comparable discrimination (P | 0.827) with c-statistics ranged 0.849–0.856, calibration slopes 0.911–1.173, and Hosmer–Lemeshow P | 0.141 in validation dataset. These 6-variable fitted CORE-COVID-19 model revealed a c-statistic of 0.880, which was significantly (P | 0.04) higher than ISARIC-4C (0.751), CURB-65 (0.735), qSOFA (0.676), and MEWS (0.674) for outcome prediction. The net benefit of the CORE-COVID-19 model was greater than that of the existing risk scores. Conclusion The CORE-COVID-19 model accurately assigned 88% of patients who potentially progressed to 30-day composite events and revealed improved performance over existing risk scores, indicating its potential utility in clinical practice.
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Fear of China is pushing India and Japan into each other’s armsAsia’s biggest democracy and its richest one were on opposite sides in the cold war. Yet in recent years India and Japan have improved their ties, aiming to forge a democratic counterweight to China
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The talks between Xi and Putin, and the chances of China supporting war in Ukraine, explainedMr Xi has arrived in Moscow for a meeting with Mr Putin which, according to the Kremlin, will be focusing on peace talks
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