Corona virus disease 2019 (COVID-19) due to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection has affected the whole world. Acquired thrombotic thrombocytopenic purpura (TTP) has been reported after administration of mRNA- or adenoviral vector-based COVID-19 vaccines, including Ad26.COV2-S, BNT162b2, mRNA-1273, and ChAdOx1 nCov-19. However, whether inactivated vaccines, such as CoronaVac, could cause TTP and whether the symptoms in TTPs caused by inactivated vaccines are different from previously reported cases are unknown. In this study, two cases were reported. Both cases developed TTP after the second CoronaVac vaccination shot, but not the first. They demonstrated symptoms of fever, neurological abnormalities, renal dysfunction, thrombocytopenia, and hemolysis. Both patients achieved complete remission through several sessions of plasma exchanges and immune suppression. The incidence of TTP in Nanjing area was analyzed. The number of patients with TTP was 12 in 2019, 6 in 2020, 16 in 2021, and 19 in 2022. To the authors\' knowledge, this report is the first report of TTP associated with inactivated COVID-19 vaccine (CoronaVac). The rarity and delayed onset may be due to the relatively milder immune response caused by the inactivated vaccines than mRNA-based ones. Timely plasma exchange is a vital treatment for CoronaVac-related TTP, similar to activated vaccine-related TTP.

OBJECTIVE: The study aimed to investigate the potential influence of COVID-19 infection on embryo implantation and early development in women undergoing frozen embryo transfer (FET), with a specific focus on infections occurring at different periods around FET.
METHODS: A retrospective analysis was performed on women who had undergone FET during a period marked by a significant surge in COVID-19 infection in Shanghai. All enrolled women experienced their first documented COVID-19 infection around the time of FET, ensuring that infections did not occur prior to oocyte retrieval. Participants were categorized into six groups based on the timing of infection: uninfected, ≥ 60 days, < 60 days before FET, 0-14 days, 15-28 days, and 29-70 days after FET. Clinical outcomes were compared across these groups.
RESULTS: The infection rate among the total of 709 cases was 78.28%. Infected individuals exhibited either asymptomatic or mild symptoms. The ongoing pregnancy rates for the first four groups were 40.7%, 44.4%, 40.5%, and 34.2% (P = 0.709) respectively, biochemical pregnancy rates (59.1% vs. 61.1% vs. 67.6% vs. 55.7%, P = 0.471) and clinical pregnancy rates (49.6% vs. 55.6% vs. 55.4% vs. 48.1%, P = 0.749), all showed no significant differences. Early spontaneous abortion rates across all six groups were 18.3%, 20.0%, 25.0%, 28.9%, 5.4%, and 19.0% respectively, with no significant differences (P = 0.113). Multivariable logistic analysis revealed no significant correlation between the infection and ongoing pregnancy.
CONCLUSIONS: Asymptomatic or mild COVID-19 infections occurring around FET do not appear to have a significant adverse impact on early pregnancy outcomes.

Corona Virus Disease 2019 (COVID-19) is a global pandemic epidemic caused by severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2), which poses a serious threat to human health worldwide and results in significant economic losses. With the continuous emergence of new virus strains, small molecule drugs remain the most effective treatment for COVID-19. The traditional drug development process usually requires several years; however, the development of computer-aided drug design (CADD) offers the opportunity to develop innovative drugs quickly and efficiently. The literature review describes the general process of CADD, the viral proteins that play essential roles in the life cycle of SARS-CoV-2 and can serve as therapeutic targets, and examples of drug screening of viral target proteins by applying CADD methods. Finally, the potential of CADD in COVID-19 therapy, the deficiency, and the possible future development direction are discussed.

In the era of Corona Virus Disease 2019 (COVID-19), wearing a mask can effectively protect people from infection risk and largely decrease the spread in public places, such as hospitals and airports. This brings a demand for the monitoring instruments that are required to detect people who are wearing masks. However, this is not the objective of existing face detection algorithms. In this article, we propose a two-stage approach to detect wearing masks using hybrid machine learning techniques. The first stage is designed to detect candidate wearing mask regions as many as possible, which is based on the transfer model of Faster_RCNN and InceptionV2 structure, while the second stage is designed to verify the real facial masks using a broad learning system. It is implemented by training a two-class model. Moreover, this article proposes a data set for wearing mask detection (WMD) that includes 7804 realistic images. The data set has 26403 wearing masks and covers multiple scenes, which is available at \"https://github.com/BingshuCV/WMD.\" Experiments conducted on the data set demonstrate that the proposed approach achieves an overall accuracy of 97.32% for simple scene and an overall accuracy of 91.13% for the complex scene, outperforming the compared methods.

OBJECTIVE: To explore the impacts of delayed ureteral stent removal on the quality of life (QoL) and mental health of urinary calculi postoperative patients due to the corona virus disease 2019(COVID-19) pandemic.
METHODS: The demographic and clinical data of patients with ureteral stent placement after urinary endoscopic lithotripsy and returned to Peking University People\'s Hospital for stent removal from December 2019 to June 2020 were collected. Ureteral stent symptoms questionnaire (USSQ) score and the outcome 20-item self-rating anxiety scale (SAS) and self-rating depression scale (SDS) were collected to estimate the QoL and mental status. The USSQ consisted of 44 questions in 6 domains (including urinary symptom, physical pain, general health, work performance, sexual function, and ureteral stent related infection). For most questions in each domain, its score was a five-point Likert-type scale from 1 to 5, and a small proportion of questions was quantified by 1 to 4 or 1 to 7 scale. SAS and SDS both contained 20 questions used to assess a patient\'s level of anxiety and depression. Its scoring for each item was on a four-point Likert-type scale from 1 to 4. A total score (ranging from 20 to 80) was the main statistical indicator. The level of clinical anxiety and depression was quantified by using standard scores (total score multiplied by 1.25 to produce integers). And the multi-group structural equation model was constructed by analysis of moment structure (AMOS) analysis.
RESULTS: Overall, 71 patients were enrolled for analysis. It was found that the median duration of ureteral stent time differed significantly between the control and delayed groups for 32 (30, 33) d and 94.5 (88, 103) d, respectively. The delayed group resulted in higher scores in the USSQ multidimensional, which included urinary symptoms, general health, work performance and ureteral stent related infections. Anxiety and depression were also significantly serious in the delayed group than in the control group. A longer indwelling time of a ureteral stent could exacerbate the effects of urinary symptoms and physical pain on work performance (P=0.029 < 0.05). Among them, the patients with severe urinary symptoms leading to poor work performance were most significantly affected by prolonged ureteral stent duration time (CR=2.619>1.96).
CONCLUSIONS: Patients with delayed ureteral stent removal due to the COVID-19 had resulted in worse QoL and mental status. Stents related symptoms are more severe in patients with higher anxiety and depression degree during COVID-19. To improve the QoL and mental health of patients after urinary calculi surgery during COVID-19, it is still not recommended to prolong the stent duration time or corresponding intervention measures should be taken.

UNASSIGNED: Characterized by rapid transmission but lower severity, the new Omicron wave brought about an acute increase in local corona virus disease 2019 (COVID-19) cases in Shanghai, followed by stricter infection prevention and control strategies. Inevitably, more time was required for emergency consultation and treatment of children with critical illnesses. Therefore, a multidimensional approach was designed to streamline the emergency service and reduce the incidence of nosocomial infection of sever acute respiratory syndrome coronavirus 2 (SARS-CoV-2) during the Omicron wave for the emergency department (ED) at the Children\'s Hospital of Fudan University (CHFU).
UNASSIGNED: A multidimensional approach was implemented in the ED to help achieve a balance between the demand for emergency services and pandemic control, consisting of ED layout adjustment; electronic screening (E-screening) measures; standard management processes for patients, medical staff, and goods transfer; reliable disinfection measures; and a surveillance system for infection prevention and control. To evaluate the effect of the management strategy, the data on nosocomial infection cases and occupational exposure episodes among staff in the ED were collected. The demographic and clinical characteristics of level I/II children by the five-level pediatric triage tool and their mean duration of stay in the resuscitation room were collected.
UNASSIGNED: There were 12,114 ED visitors from March 1 to May 31 in 2022, among which 53.24% were medical emergencies (6,449/12,114) and 46.76% were surgical emergencies (5,665/12,114). Twenty-nine patients were sent to the buffer zone, four of whom were transferred to the pediatric intensive care unit (PICU) because of the critical situation. Six patients tested positive for COVID-19 after entering ED, including three in the buffer zone and three in the ED clinic, causing a temporary closure of the ED for disinfection. There were no reports on medical care delays, unintended deaths, staff with COVID-19 infection, or occupational exposures to COVID-19.
UNASSIGNED: Our findings highlight the effectiveness of the multidimensional approach, which can simultaneously meet the emergency care needs of patients as well as pandemic prevention and control. However, the results were obtained against the proportional decrease in clinic visitors due to the Shanghai lockdown. Dynamic assessment and further optimization may be adopted to cope with the pre-pandemic visit volume.

UNASSIGNED: This study sought to investigate the surgical workflow and practical effects of infection prevention and control in specialist pediatric hospitals during the Corona Virus Disease 2019 (COVID-19) epidemic to provide a foundation for ensuring the safety of children and medical staff.
UNASSIGNED: The Guidelines for the Management of Surgical Procedures and Infection Prevention and Control of COVID-19 Pneumonia in Children were formulated according to the industry specifications and standards, the prevention and control work system for hospitals in China, and the experiences of the Chinese Nursing Association in infection prevention and control in the operating room. These guidelines focus on the characteristics of children, and provide management priorities in relation to personnel management, infection prevention and control during surgery, intraoperative safety, and the cooperation of medical staff teams. These operation management and prevention and control strategies were applied to children who were suspected or confirmed to have COVID-19.
UNASSIGNED: The operation process and prevention and control measures were effectively implemented. During the epidemic, a total of 219 surgeries which patients\' COVID-19 nucleic test result are not out were completed. No medical staff or nosocomial infection occurred during the surgeries.
UNASSIGNED: As a special group, children are susceptible to COVID-19, and should receive special attention. As the only hospital designated to treat children with COVID-19 in Hubei Province, our hospital effectively implemented the infection prevention and control measures in surgery according to the characteristics of children. These measures ensured the safety of the surgeries and reduced the risk of infection in children and medical staff.

The mortality rate of the recent global pandemic corona virus disease 2019 (COVID-19) is currently as high as 7%. The SARS-CoV-2 virus is the culprit behind COVID-19. SARS-CoV-2 is an enveloped single-stranded RNA virus, the genome encodes four types of the structural proteins: S protein, E protein (envelope protein), M protein (matrix protein) and N protein (nucleocapsid protein). In COVID-19, monoclonal antibodies have played a significant role in diagnosis and treatment. This article briefly introduced the development of monoclonal antibodies targeting on S protein and N protein, which represents the main direction of monoclonal antibody drugs used in the diagnosis and treatment of COVID-19. Meanwhile, the traditional Chinese medicine also plays important role in the fight against COVID-19 by regulating human immunity. The article introduced the use of traditional Chinese medicine in fighting against COVID-19.

The Internet of Medical Things (IoMT) is a brand new technology of combining medical devices and other wireless devices to access to the healthcare management systems. This article has sought the possibilities of aiding the current Corona Virus Disease 2019 (COVID-19) pandemic by implementing machine learning algorithms while offering emotional treatment suggestion to the doctors and patients. The cognitive model with respect to IoMT is best suited to this pandemic as every person is to be connected and monitored through a cognitive network. However, this COVID-19 pandemic still remain some challenges about emotional solicitude for infants and young children, elderly, and mentally ill persons during pandemic. Confronting these challenges, this article proposes an emotion-aware and intelligent IoMT system, which contains information sharing, information supervision, patients tracking, data gathering and analysis, healthcare, etc. Intelligent IoMT devices are connected to collect multimodal data of patients in a surveillance environments. The latest data and inputs from official websites and reports are tested for further investigation and analysis of the emotion analysis. The proposed novel IoMT platform enables remote health monitoring and decision-making about the emotion, therefore greatly contribute convenient and continuous emotion-aware healthcare services during COVID-19 pandemic. Experimental results on some emotion data indicate that the proposed framework achieves significant advantage when compared with the some mainstream models. The proposed cognition-based dynamic technology is an effective solution way for accommodating a big number of devices and this COVID-19 pandemic application. The controversy and future development trend are also discussed.

BACKGROUND: Corona virus disease 2019 (COVID-19) showed a significant difference in case fatality rate between different regions at the early stage of the epidemic. In addition to the well-known factors such as age structure, detection efficiency, and race, there was also a possibility that medical resource shortage caused the increase of the case fatality rate in some regions.
METHODS: Medline, Cochrane Library, Embase, Web of Science, CBM, CNKI, and Wan fang of identified articles were searched through 29 June 2020. Cohort studies and case series with duration information on COVID-19 patients were included. Two independent reviewers extracted the data using a standardized data collection form and assessed the risk of bias. Data were synthesized through description and analysis methods including a meta-analysis.
RESULTS: A total of 109 articles were retrieved. The time interval from onset to the first medical visit of COVID-19 patients in China was 3.38±1.55 days (corresponding intervals in Hubei province, non-Hubei provinces, Wuhan, Hubei provinces without Wuhan were 4.22±1.13, 3.10±1.57, 4.20±0.97, and 4.34±1.72 days, respectively). The time interval from onset to the hospitalization of COVID-19 patients in China was 8.35±6.83 days (same corresponding intervals were 12.94±7.43, 4.17±1.45, 14.86±7.12, and 5.36±1.19 days, respectively), and when it was outside China, this interval was 5.27±1.19 days.
CONCLUSIONS: In the early stage of the COVID-19 epidemic, patients with COVID-19 did not receive timely treatment, resulting in a higher case fatality rate in Hubei province, partly due to the relatively insufficient and unequal medical resources. This research suggested that additional deaths caused by the out-of-control epidemic can be avoided if prevention and control work is carried out at the early stage of the epidemic.
BACKGROUND: CRD42020195606.