Analysis of social and psychological factors influencing the treatment of patients with chronic kidney disease under the regular epidemic prevention and control of coronavirus disease 2019.

Objective To explore the sociodemographic and psychological factors influencing the continuity of treatment of patients with chronic kidney disease under the regular epidemic prevention and control of coronavirus disease 2019 (COVID-19). Methods A total of 277 patients with chronic kidney disease who were admitted to Department of Nephrology, The First Affiliated Hospital of Naval Medical University (Second Military Medical University) from Apr. 2020 to Mar. 2021 were enrolled and divided into 3 groups: non-dialysis group (n=102), hemodialysis (HD) group (n=108), and peritoneal dialysis (PD) group (n=67). All patients were investigated by online and offline questionnaires, including self-designed basic situation questionnaire, self-rating anxiety scale (SAS), and self-rating depression scale (SDS). The general sociodemographic data, anxiety and depression of the 3 groups were compared, and the influence of sociodemographic and psychological factors on the interruption or delay of treatment was analyzed by binary logistic regression model. Results There were significant differences in age distribution, marital status, occupation, medical insurance type, caregiver type, whether there was an urgent need for hospitalization and whether treatment was delayed or interrupted among the 3 groups (all P0.05). The average SAS score of 65 PD patients was 38.15+/-15.83, including 53 (81.5%) patients without anxiety, 7 (10.8%) patients with mild anxiety, and 5 (7.7%) patients with moderate to severe anxiety. The average SAS score of 104 patients in the HD group was 36.86+/-14.03, including 81 (77.9%) patients without anxiety, 18 (17.3%) patients with mild anxiety, and 5 (4.8%) patients with moderate to severe anxiety. There were no significant differences in the mean score of SAS or anxiety severity grading between the 2 groups (both P0.05). The mean SDS scores of 65 PD patients were 53.42+/-13.30, including 22 (33.8%) patients without depression, 21 (32.3%) patients with mild depression, and 22 (33.8%) patients with moderate to severe depression. The mean SDS scores of 104 patients in the HD group were 50.79+/-10.76, including 36 (34.6%) patients without depression, 56 (53.8%) patients with mild depression, and 12 (11.6%) patients with moderate to severe depression. There were no significant differences in mean SDS scores or depression severity grading between the 2 groups (both P0.05). The results of intra-group comparison showed that the incidence and severity of depression were higher than those of anxiety in both groups. Multivariate binary logistic regression analysis showed that high school education level (odds ratio OR=5.618, 95% confidence interval CI) 2.136-14.776, P0.01), and unmarried (OR=6.916, 95% CI 1.441-33.185, P=0.016), divorced (OR= 5.588, 95% CI 1.442-21.664, P=0.013), urgent need for hospitalization (OR=8.655, 95% CI 3.847-19.476, P0.01) could positively promote the continuity of treatment in maintenance dialysis patients under the regular epidemic prevention and control of COVID-19. In the non-dialysis group, no sociodemographic and psychological factors were found to be associated with the interruption or delay of treatment (P0.05). Conclusion Education, marital status, and urgent need for hospitalization are correlated with the continuity of treatment in patients with chronic kidney disease on maintenance dialysis.Copyright © 2022, Second Military Medical University Press. All rights reserved.

Travel behavior adjustment based epidemic spreading model and prediction for COVID-19

Owing to the continuous variant of the COVID-19 virus, the present epidemic may persist for a long time, and each breakout displays strongly region/time-dependent characteristics. Predicting each specific burst is the basic task for the corresponding strategies. However, the refinement of prevention and control measures usually means the limitation of the existing records of the evolution of the spread, which leads to a special difficulty in making predictions. Taking into account the interdependence of people' s travel behaviors and the epidemic spreading, we propose a modified logistic model to mimic the COVID-19 epidemic spreading, in order to predict the evolutionary behaviors for a specific bursting in a megacity with limited epidemic related records. It continuously reproduced the COVID-19 infected records in Shanghai, China in the period from March 1 to June 28, 2022. From December 7, 2022 when Mainland China adopted new detailed prevention and control measures, the COVID-19 epidemic broke out nationwide, and the infected people themselves took "ibuprofen” widely to relieve the symptoms of fever. A reasonable assumption is that the total number of searches for the word "ibuprofen” is a good representation of the number of infected people. By using the number of searching for the word "ibuprofen” provided on Baidu, a famous searching platform in Mainland China, we estimate the parameters in the modified logistic model and predict subsequently the epidemic spreading behavior in Shanghai, China starting from December 1, 2022. This situation lasted for 72 days. The number of the infected people increased exponentially in the period from the beginning to the 24th day, reached a summit on the 31st day, and decreased exponentially in the period from the 38th day to the end. Within the two weeks centered at the summit, the increasing and decreasing speeds are both significantly small, but the increased number of infected people each day was significantly large. The characteristic for this prediction matches very well with that for the number of metro passengers in Shanghai. It is suggested that the relevant departments should establish a monitoring system composed of some communities, hospitals, etc. according to the sampling principle in statistics to provide reliable prediction records for researchers. © 2023 Chinese Physical Society.

Study on Infection Probabilities of COVID-19 by SIR Network

Severe Acute Respiratory Syndrome Coronavirus 2 Related Diseases (COVID-19) is now one of the most challenging and concerning epidemics, which has been affecting the world so much. After that, countries around the world have been actively developing vaccines to deal with the sudden disease. How to carry out more efficient epidemic prevention has also become a problem of our concern. Unlike traditional SIR disease transmission models, network percolation has unique advantages in disease immune modelling, which makes it closer to reality in the simulation. This article introduces the study of SIR percolation network on infection probabilities of COVID-19, and proposes a method to preventing the spread of disease. © 2022 IEEE.

Association of Long COVID with Seeing Difficulties Among Adults in the United States

Objectives: Many patients with long COVID experience at least one vision problem. This study determines the association of long COVID with seeing difficulties. Method(s): We conducted a cross-sectional analysis with the Census Household Pulse Survey data (N = 51,288). We excluded adults who reported contracting COVID within the past four weeks, those with missing data on seeing difficulty when infected with COVID, and long COVID. Long COVID was defined as having symptoms lasting three months or longer that the adults did not have prior to having COVID. Adults self-reporting to a question on seeing with "some difficulty," "a lot of difficulty," or "unable to do" were classified as having "seeing difficulties." We conducted Chi-square tests and logistic regressions with replicate weights. Logistic regressions adjusted for long COVID, sex, age, race and ethnicity, marital status, income, education, food sufficiency, health insurance, remote work, vaccine doses, region, depression, and anxiety. Result(s): During the survey period (November 2 - November 14, 2022), 37.3% reported seeing difficulties, and 14.4% reported long COVID. A higher percentage of adults with long COVID reported seeing difficulties than those without long COVID (47.6% vs. 31.9%). In the fully adjusted logistic regression model, compared to adults with no COVID or without long COVID, those with long COVID had greater odds of seeing difficulties (AOR = 1.50, 95%CI = 1.32, 1.70). We did not observe a statistically significant difference between adults without long COVID and no COVID (AOR = 1.01, 95%CI = 0.93, 1.10 p = 0.7888). Conclusion(s): One in eight adults had long COVID. Adults with long COVID had significantly higher odds of seeing difficulties than those without long COVID. Therefore, a follow-up of patients with long COVID needs to include screening for seeing difficulties. More research is needed on the links between long Covid and vision care.Copyright © 2023

Under the background of 100 million tons of crude oil purchase and sale contract: countermeasures for smooth operation of the Alashankou-Dushanzi-Urumqi crude oil pipeline

A 100 million ton crude oil purchases and sale contract signed between China and Russia, and the crude oil will pass through Kazakhstan and flow along the Alashankou-Dushanzi-Urumchi crude oil pipeline to western Region. As an important crude oil import channel, this paper analyzes the current situation of Alashankou-Dushanzi-Urumchi crude oil pipeline and puts forward some countermeasures. Both Russia and Kazakhstan are major crude oil exporters, with internal demand for exporting crude oil to China. There is a huge gap between domestic crude oil demand, and social and economic development depends on crude oil import. The geographical environment of the crude oil pipeline is conducive to pipeline protection. The security environment of Xinjiang has improved. The situation in Russia and Ukraine and the civil strife in Kazakhstan have limited impact on the pipeline which will have good development opportunities. Thus, this paper proposes the following management strategies. First of all, strengthen communication and coordination between upstream and downstream enterprises. Second, reduce cost and increase efficiency. Third, attach importance of the application of new technologies. Fourth, establish emergency plans and hold emergency drills for emergencies such as COVID-19 outbreak and pipeline leakage. Fifth, strengthen anti-terrorism and riot control. Sixth, strengthen corporate culture and talent team construction. © The Authors, published by EDP Sciences. This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (https://creativecommons.org/licenses/by/4.0/).

Inheritance and innovation: maintain academic communications in microsurgery under the normalized prevention and control of COVID-19 pandemics.

Chinese Journal of Microsurgery, based on the premise of doing well in the prevention and control of COVID-19 pandemics, shall keep on driving on the inheritance and innovation, carry forward the spirit of microsurgery, give full play to the advantages of microsurgery technology and improve the level of surgical repair and reconstruction, as well as try new ways for academic communications and give full play to the roles of an academic platform for a professional magazine;Clinical Orthopaedic Microsurgery (internal communication), the internal journal of editorial office, is the "showcase in China" to highlight and disseminate the achievements in microsurgery, focus on the support for the Chinese young microsurgeons who work in the front-line of medical services, provide a platform effectively for the young microsurgeons in China to actively participate in the Sino-English literary exchange, and truly "publish the papers on the land of our motherland".Copyright © 2022 by the authors.

Design of upper limb rehabilitation evaluation system based on deep learning

The topic of non-contact diagnosis became a hot topic during COVID-19 and online consultation gained popularity. In this research, a deep learning-based autonomous limb evaluation system is developed for online consultation and remote rehabilitation training for people with physical limitations. Its main goal is to collect and analyze information about limb states. The patient can evaluate the limb state at home using the mobile app, and the doctor can view the data and connect with the patient via the web's chat module to offer diagnostic opinions. Deep learning is used for the Start/End Attitude Determination Model and OpenCV for the limb and hand evaluation model, with the results being uploaded to the server. © The Authors. Published under a Creative Commons Attribution CC-BY 3.0 License.

[Performance of screening of contacts of COVID-19 cases in same flight].

Objective: To understand the performance of 2019-nCoV nucleic acid detection in screening of contacts of COVID-19 cases in same flights and provide evidence for the effective screening of persons at high risk for the infection in domestic flights. Methods: The information of passengers who took same domestic flights with COVID-19 cases in China from April 1, 2020 to April 30, 2022 were retrospectively collected,and χ2 test was used to analyze positive nucleic acid detection rates in the passengers in different times before the onsets of the index cases, in different seat rows and in epidemic periods of different 2019-nCoV variants. Results: During the study period, a total of 433 index cases were identified among 23 548 passengers in 370 flights. Subsequently, 72 positive cases of 2019-nCoV nucleic acid were detected in the passengers, in whom 57 were accompanying persons of the index cases. Further analysis of the another 15 passengers who tested positive for the nucleic acid showed that 86.67% of them had onsets or positive detections within 3 days after the diagnosis of the index cases, and the boarding times were all within 4 days before the onsets of the index cases. The positive detection rate in the passengers who seated in first three rows before and after the index cases was 0.15% (95%CI: 0.08%-0.27%), significantly higher than in the passengers in other rows (0.04%, 95%CI: 0.02%-0.10%, P=0.007),and there was no significant difference in the positive detection rate among the passengers in each of the 3 rows before and after the index cases (P=0.577). No significant differences were found in the positive detection rate in the passengers, except the accompanying persons, among the epidemics caused by different 2019-nCoV variants (P=0.565). During the Omicron epidemic period, all the positive detections in the passengers, except the accompanying persons, were within 3 days before the onset of the index cases. Conclusions: The screening test of 2019-nCoV nucleic acid can be conducted in the passengers took the same flights within 4 days before the onsets of the index cases on board. Passengers who seated within 3 rows from the index cases can considered as the close contacts at high risk for 2019-nCoV, for whom screening should be conducted first and special managements are needed. The passengers in other rows can be classified as general risk persons for screening and management.

Citation advantage of COVID-19-related publications

With the global spread of the COVID-19 pandemic, scientists from various disciplines responded quickly to this historical public health emergency. The sudden boom of COVID-19-related papers in a short period of time may bring unexpected influence to some commonly used bibliometric indicators. By a large-scale investigation using Science Citation Index Expanded and Social Sciences Citation Index, this brief communication confirms the citation advantage of COVID-19-related papers empirically through the lens of Essential Science Indicators' highly cited paper. More than 8% of COVID-19-related papers published during 2020 and 2021 were selected as Essential Science Indicators highly cited papers, which was much higher than the set global benchmark value of 1%. The citation advantage of COVID-19-related papers for different Web of Science categories/countries/journal impact factor quartiles was also demonstrated. The distortions of COVID-19-related papers' citation advantage to some bibliometric indicators such as journal impact factor were discussed at the end of this brief communication.

Morbidity and Mortality Outcomes for Patients with Moderate-to-Severe Covid-19 Diseases: A Post-Hospitalization Follow-up Study

Intro: The burden of post-COVID-related morbidity and mortality is significant yet undermined. We studied the morbidity and mortality outcomes of COVID-19 patients with moderate-to-severe diseases by 90-day post-hospitalization. Method(s): This retrospective cohort study included 510 COVID-19 patients admitted to Kepala Batas Hospital with moderate to severe diseases, requiring oxygen therapy during hospitalization (Malaysia COVID severity category >=5;WHO scale >=5), between January and August 2021. We conducted telephone surveillance for 90 days post-discharge from the hospital, assessing for post- COVID complications and mortality. Relevant clinical data were extracted from medical records. Multiple logistic regression was employed to examine factors associated with post-COVID mortality after index hospitalization. Finding(s): Among 510 patients, 51%(n=260) were male with a mean age of 52.1 (14.65) years. A third had hypertension (39.8%) and diabetes (31.4%). Only 15.5% were partially vaccinated and 4.9% had complete vaccination before hospitalization. Nearly 65% were supplemented with nasal prong or face mask oxygenation (<10L/ min), 25.7% received high flow oxygenation and 10% were mechanically ventilated. Approximately 23.3% (n=119) of patients were admitted to the intensive care unit. By 90-day post-hospitalization, 46% (n=203) reported residual symptoms: lethargy (14.5%), dyspnoea (12.2%), hair loss (7.5%), memory loss (6.3%), depression (3.9%), anxiety (2.7%) and 1.6% required home oxygen supplementation. Forty-four patients (8.5%) were re- hospitalized at least once, with 40.9% due to post-COVID complications. About 87% of patients attended their post-COVID clinic appointment. Nearly 13.5% (n=69) of patients died within 90 days after being discharged from the hospital. Adjusted for gender, comorbids and ventilatory status, age >=60 years (aOR 7.96;95%CI 3.75-16.92;p<0.001), diabetes (aOR 2.30;95%CI 1.12-4.72;p=0.024) and high oxygen requirement (aOR 3.41;95%CI 1.56-7.46;p=0.002), were associated with increased 90-day post-COVID mortality. Conclusion(s): Post-COVID morbidity and mortality are significant among survivors hospitalized for moderate- to-sever disease. Comprehensive care must be addressed to improve the outcomes of post-COVID patients.Copyright © 2023

Functional and Psychosocial Outcomes on Patients with Moderate-to-Severe Covid-19 Diseases: A Post-Hospitalization Follow-up Study

Intro: COVID-19 survivors suffer from variable limitations affecting their quality of life. We examined the functional and psychosocial outcomes among COVID-19 patients with moderate-to-severe diseases by three months post-hospitalization. Method(s): This retrospective cohort study included 510 COVID-19 patients admitted to Kepala Batas Hospital with moderate-to-severe diseases, requiring oxygen therapy during hospitalization (Malaysia COVID-19 severity category >=5;WHO scale >=5), between January and August 2021. We followed up with telephone surveillances by 90 days post-discharge from the hospital, assessing their performance in activities of daily living and psychosocial implications. Relevant clinical data were extracted from medical records. We compared patients with low (<10L/ min) versus higher (>=10L/min) oxygen requirements on the patient-reported outcome variables. Finding(s): Among 441 survivors (86.5%), half (n=223, 50.6%) were male, with a relatively young population with a mean age of 50.2 (13.73) years. Only 17.9% were partially vaccinated and 5.7% had complete vaccination before hospitalization. Nearly 70% were supplemented with nasal prong or face mask oxygenation (<10L/ min), 26.1% received high flow oxygenation and 4.1% were mechanically ventilated. By 90-day follow-up, >90% had their functionality returned to baseline before hospitalization. Only 1.6% required home oxygen supplementation. Compared with their baseline functionality, 4.8% were unable to perform basic household chores, 4.1% required assistance in mobilization and 2.5% became fully dependent on caretakers. Among 254 patients returning to work, 98% worked in the same institution but 18.9% required job scope adjustments. About 7.7% experienced post-covid stigma at home and/or work, 3,9% suffered from depression 5.7% became self-isolated and 0.9% had suicidal ideation or attempts. Functional and psychosocial outcomes were similar between patients with low and higher oxygen requirements (all p>0.05). Conclusion(s): Despite fair recovery outcomes reported by survivors with moderate-to-severe disease, a small proportion suffered from significant functional limitations and psychosocial adversity. Post-hospitalization care is essential to screen-detect post-COVID complications and provide timely interventions.Copyright © 2023

Teaching Geography in the Midst of the COVID-19 Pandemic in a Chinese University: A Case Study of Beijing Normal University

Information and communication technologies (ICTs) have been making higher education confront great challenges globally, while COVID-19 has been speeding up the necessity to overcome them. Traditionally, geographical teaching in China involves indoor experiments, fieldtrips and other practical activities in addition to lectures in class. We asked what impacts or changes the COVID-19 epidemic would have on geographical education in universities of China. Based on the case of Beijing Normal University, this chapter aims to examine new learning patterns as a response to the outbreak and the real impacts in China. Questionnaire surveys and typical cases are used to examine the teaching arrangements and effects in three periods, viz., the early stage of the outbreak when it was necessary to prepare contingent teaching plans, the middle and late stage of the spring semester to examine the adaptations and feedback of online learning, and later when traditional teaching resumed in the autumn semester of 2020 to evaluate online learning. This research aims to seek some innovative measurements for reforming geographical education in Chinese universities in post COVID-19 pandemic times. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2022.

Analysis of social and psychological factors influencing the treatment of patients with chronic kidney disease under the regular epidemic prevention and control of coronavirus disease 2019

Objective To explore the sociodemographic and psychological factors influencing the continuity of treatment of patients with chronic kidney disease under the regular epidemic prevention and control of coronavirus disease 2019 (COVID-19). Methods A total of 277 patients with chronic kidney disease who were admitted to Department of Nephrology, The First Affiliated Hospital of Naval Medical University (Second Military Medical University) from Apr. 2020 to Mar. 2021 were enrolled and divided into 3 groups: non-dialysis group (n=102), hemodialysis (HD) group (n=108), and peritoneal dialysis (PD) group (n=67). All patients were investigated by online and offline questionnaires, including self-designed basic situation questionnaire, self-rating anxiety scale (SAS), and self-rating depression scale (SDS). The general sociodemographic data, anxiety and depression of the 3 groups were compared, and the influence of sociodemographic and psychological factors on the interruption or delay of treatment was analyzed by binary logistic regression model. Results There were significant differences in age distribution, marital status, occupation, medical insurance type, caregiver type, whether there was an urgent need for hospitalization and whether treatment was delayed or interrupted among the 3 groups (all P<0.05). The average SAS score of 65 PD patients was 38.15+/-15.83, including 53 (81.5%) patients without anxiety, 7 (10.8%) patients with mild anxiety, and 5 (7.7%) patients with moderate to severe anxiety. The average SAS score of 104 patients in the HD group was 36.86+/-14.03, including 81 (77.9%) patients without anxiety, 18 (17.3%) patients with mild anxiety, and 5 (4.8%) patients with moderate to severe anxiety. There were no significant differences in the mean score of SAS or anxiety severity grading between the 2 groups (both P>0.05). The mean SDS scores of 65 PD patients were 53.42+/-13.30, including 22 (33.8%) patients without depression, 21 (32.3%) patients with mild depression, and 22 (33.8%) patients with moderate to severe depression. The mean SDS scores of 104 patients in the HD group were 50.79+/-10.76, including 36 (34.6%) patients without depression, 56 (53.8%) patients with mild depression, and 12 (11.6%) patients with moderate to severe depression. There were no significant differences in mean SDS scores or depression severity grading between the 2 groups (both P>0.05). The results of intra-group comparison showed that the incidence and severity of depression were higher than those of anxiety in both groups. Multivariate binary logistic regression analysis showed that high school education level (odds ratio [OR]=5.618, 95% confidence interval [CI]) 2.136-14.776, P<0.01), and unmarried (OR=6.916, 95% CI 1.441-33.185, P=0.016), divorced (OR= 5.588, 95% CI 1.442-21.664, P=0.013), urgent need for hospitalization (OR=8.655, 95% CI 3.847-19.476, P<0.01) could positively promote the continuity of treatment in maintenance dialysis patients under the regular epidemic prevention and control of COVID-19. In the non-dialysis group, no sociodemographic and psychological factors were found to be associated with the interruption or delay of treatment (P>0.05). Conclusion Education, marital status, and urgent need for hospitalization are correlated with the continuity of treatment in patients with chronic kidney disease on maintenance dialysis.Copyright © 2022, Second Military Medical University Press. All rights reserved.

Week 48 results of a phase 3 randomized controlled trial of bictegravir/emtricitabine/tenofovir alafenamide (B/F/TAF) vs dolutegravir 1 emtricitabine/tenofovir disoproxil fumarate (DTG 1 F/TDF) as initial treatment in HIV-1/HBV-coinfected adults (ALLIANCE)

Background/Aims: The clinical course of hepatitis B virus (HBV) infection in individuals with HIV-1 coinfection is marked by accelerated disease progression. A tenofovir-containing antiretroviral regimen is recommended in most people with HIV-1/HBV-coinfection, but there have not been randomized studies of tenofovir disoproxil fumarate (TDF) vs tenofovir alafenamide (TAF) in treatment- naive HIV-1/HBV-coinfected individuals. We report primary endpoint results from a Phase 3 study comparing bictegravir/emtricitabine/ TAF (B/F/TAF) vs dolutegravir + emtricitabine/TDF (DTG + F/TDF) at Week (W)48 in participants initiating treatment for both viruses. Method(s): Adults with HIV-1/HBV coinfection were randomized 1:1 to initiate blinded treatment with B/F/TAF or DTG + F/TDF (with placebo). Primary endpoints were the proportion of participants with HIV-1 RNA<50 copies/mL (FDA Snapshot) and plasma HBV DNA<29 IU/mL (missing = failure) at W48. Noninferiority was assessed with 95% CI (12% margin). Secondary and other endpoints included change from baseline cluster of differentiation 4 (CD4) count, proportion with hepatitis B surface antigen (HBsAg) and hepatitis B e antigen (HBeAg) loss/seroconversion, and alanine transaminase (ALT) normalization (AASLD criteria). Result(s): Participants (N = 243) were randomized and treated (B/F/ TAF [n = 121], DTG + F/TDF [n = 122]) from 11 countries in Asia, Europe, North, and Latin America. Baseline characteristics were median age of 32 years, 4.5% female, 88% Asian, 30% HIV-1 RNA>100,000 c/mL, 40% CD4<200 cells/lL, median HBV DNA 8.1 log10 IU/mL, 78% HBeAg+. At W48, B/F/TAF was noninferior to DTG + F/TDF at achieving HIV-1 RNA<50 copies/mL (95% vs 91%, difference 4.1%;95% CI -2.5%-10.8%;P = 0.21), with mean CD4 gains of + 200 and + 175 cells/lL, respectively. B/F/TAF was superior to DTG + F/TDF at achieving HBV DNA<29 IU/mL (63% vs 43%, difference 16.6%;95% CI 5.9%-27.3%;P = 0.0023). Participants treated with B/F/TAF vs DTG + F/TDF had numerically higher HBsAg loss (13% vs 6%;P = 0.059), HBeAg loss (26% vs 14%;P = 0.055), HBeAg seroconversion (23% vs 11%;P = 0.031), and ALT normalization (73% vs 55%;P = 0.066). The most frequent adverse events among participants treated with B/F/TAF vs DTG + F/TDF were upper respiratory tract infection (17% vs 11%), COVID- 19 (13% vs 11%), pyrexia (9% vs 12%), ALT increase (7% vs 11%), and nasopharyngitis (11% vs 4%). ALT flares (elevations at >= 2 consecutive postbaseline visits) occurred in 11 participants (7 B/F/ TAF, 4 DTG + F/TDF), and all resolved. Conclusion(s): Among adults with HIV-1/HBV-coinfection starting antiviral therapy, both B/F/TAF and DTG + F/TDF had high HIV-1 suppression at year 1, with B/F/TAF resulting in superior HBV DNA suppression and significantly more HBeAg seroconversion. Safety findings were similar between groups.

Teaching Effect after Changing Mode of Continuing Medical Education during the COVID-19 Pandemic

Objective To explore the teaching effect of the teaching mode changed from traditional teaching to online teaching after the outbreak of coronavirus disease 2019 (COVID-19) pandemic. Methods Relying on the Beijing Women's Health Care Technology Improvement Project, the online and offline continuing medical education was carried out, to train the obstetrician and gynecologist working in 16 maternal and child health care hospitals in 16 administrative regions of Beijing, which was planned from September 2020 to December 2025. This study retrospectively collected the assessment results of the two teaching modes from March 2021 to December 2021 (the first year of the teaching plan), and compared the teaching effects. Results Online teaching completed three sessions of 30 live online conference courses, with about 25 000 participants, including 4757 obstetricians and gynecologists from 16 maternal and child health care hospitals in Beijing. A total of 82 on-site teaching courses were held for offline teaching, and 1771 gynecologists and obstetricians from 16 maternity and child care hospitals in Beijing participated in the study. The scores of online teaching and offline teaching were 90.88+/-4.88 and 88.65+/-4.35, respectively. Conclusions Online teaching maybe has similar teaching effects as offline teaching. Compared with offline teaching, online teaching has more advantages, such as convenience, efficiency and economy, which is worthy of promotion and application in the context of the COVID-19 pandemic.Copyright © 2022, Peking Union Medical College Hospital. All rights reserved.

Changes in vaccine administration trends across the life-course during the COVID-19 pandemic in the United States: a claims database study.

BACKGROUND: This study provides an updated and expanded analysis of the impact of the COVID-19 pandemic on routine vaccinations across the life-course in the United States. RESEARCH DESIGN AND METHODS: Routine wellness visits and vaccination rates were calculated using structured claims data for each month during the impact period (January 2020 to August 2022) and compared to the respective baseline period (January 2018 to December 2019). Monthly rates were aggregated as annual accumulated and cumulative percent changes. RESULTS: The complete monthly rate interactive dataset can be viewed at https://vaccinationtrends.com. The greatest decrease in annual accumulated administration rates in the 0-2 and 4-6 years age groups was for the measles, mumps, and rubella vaccine; for adolescents and older adults, it was for human papillomavirus and pneumococcal vaccines, respectively. Routine in-person wellness visit rates recovered faster and more completely than vaccination rates in all age groups, indicating potential missed opportunities to administer vaccines during visits. CONCLUSIONS: This updated analysis reveals that the negative impact of the COVID-19 pandemic on routine vaccination continued through 2021 and into 2022. Proactive efforts to reverse this decline are needed to increase individual- and population-level vaccination coverage and avoid the associated preventable morbidity, mortality, and health care costs.

Machine Learning-Based Scoring System for Early Prognosis Evaluation of Patients with Coronavirus Disease 2019

Background The global spread of coronavirus disease 2019 (COVID-19) continues to threaten human health security, exerting considerable pressure on healthcare systems worldwide. While prognostic models for COVID-19 hospitalized or intensive care patients are currently available, prognostic models developed for large cohorts of thousands of individuals are still lacking. Methods Between February 4 and April 16, 2020, we enrolled 3,974 patients admitted with COVID-19 disease in the Wuhan Huo-Shen-Shan Hospital and the Maternal and Child Hospital, Hubei Province, China. (1) Screening of key prognostic factors: A univariate Cox regression analysis was performed on 2,649 patients in the training set, and factors affecting prognosis were initially screened. Subsequently, a random survival forest model was established through machine analysis to further screen for factors that are important for prognosis. Finally, multivariate Cox regression analysis was used to determine the synergy among various factors related to prognosis. (2) Establishment of a scoring system: The nomogram algorithm established a COVID-19 patient death risk assessment scoring system for the nine selected key prognostic factors, calculated the C index, drew calibration curves and drew training set patient survival curves. (3) Verification of the scoring system: The scoring system assessed 1,325 patients in the test set, splitting them into high- and low-risk groups, calculated the C-index, and drew calibration and survival curves. Results The cross-sectional study found that age, clinical classification, sex, pulmonary insufficiency, hypoproteinemia, and four other factors (underlying diseases: blood diseases, malignant tumor;complications: digestive tract bleeding, heart dysfunction) have important significance for the prognosis of the enrolled patients with COVID-19. Herein, we report the discovery of the effects of hypoproteinemia and hematological diseases on the prognosis of COVID-19. Meanwhile, the scoring system established here can effectively evaluate objective scores for the early prognoses of patients with COVID-19 and can divide them into high- and low-risk groups (using a scoring threshold of 117.77, a score below which is considered low risk). The efficacy of the system was better than that of clinical classification using the current COVID-19 guidelines (C indexes, 0.95 vs. 0.89). Conclusions Age, clinical typing, sex, pulmonary insufficiency, hypoproteinemia, and four other factors were important for COVID-19 survival. Compared with general statistical methods, this method can quickly and accurately screen out the relevant factors affecting prognosis, provide an order of importance, and establish a scoring system based on the nomogram model, which is of great clinical significance. © Wolters Kluwer Health, Inc. All rights reserved.