Objective To conduct a systematic and comprehensive bibliometric analysis related to medical imaging in coronavirus disease 2019 (COVID-19) published by Chinese authors, and indicate the current status and guidance for coping with the challenges brought by long COVID. Methods Literature records pertaining to COVID-19 imaging were retrieved from the Web of Science (WOS) and Chinese Science Citation Database (CSCD) with a date range of January 1st, 2020 to December 31st, 2022. CiteSpace was used to analyze the popular topics and generate a visual map to further refine research trends. Results The search enrolled 2229 publications (1771 publications from WOS and 458 from CSCD). The monthly volume of publications showed a significant increase followed by a gradual decline, and then maintained a stable level. Clustering analysis of keywords and co-citations revealed that the research hotspots in COVID-19 imaging were clinical features, imaging differential diagnosis, and the application of artificial intelligence. Keyword burst analysis showed that “deep learning” was the most intensive keyword, while “attention mechanism” had the longest burst duration. Conclusions In recent years, the research in the field of COVID-19 imaging has made steady progress. Artificial intelligence has received the most attention. Clinical features, imaging features and artificial intelligence assisted diagnosis are the top of most concerns. The future focus of COVID-19 imaging research may be on improving algorithm models to expand the application of artificial intelligence in disease diagnosis, treatment, and management.
Objective To investigate the status of frailty in patients with coronavirus disease 2019 (COVID-19), and to analyze the influence of COVID-19 disease on the prevalence of frailty. Methods This study was conducted using a cross-sectional survey method. COVID-19 patients admitted to a centralized isolation point in Guangzhou were selected for an questionnaire survey by “questionnaire star”, between November and December 2022. The questionnaire included the general information questionnaire, Tilburg Frailty Indicator (TFI), the COVID-19 symptom scale and Mental Resilience Scale (RS-11). Multi-model logistic regression analysis was used to explore the influence of COVID-19 on the occurrence of debilitation. Results A total of 667 questionnaires were distributed, of which 594 were valid, with an effective rate of 89.1%. There were 150 patients (25.3%) were frail, 444 patients (74.7%) were non-frail, and 51 patients (8.6%) were newly frail after infected COVID-19. The median TFI score before COVID-19 was 3 (2, 4) points, 16.7% (99/594) were in a weak state. The median TFI score after COVID-19 was 3 (2, 5) points, 25.3% (150/594) were in a weak state. There were statistically significant differences in TFI scores (Z=?6.596, P＜0.001) and the incidence of debilitation (χ2=351.648, P＜0.001) before and after COVID-19. The results of multivariate logistic regression analysis showed that after controlling disease factors, demographic factors and psychosocial factors, the score of the COVID-19 symptom score was always the influencing factor of COVID-19 patients. The overall change trend of COVID-19 symptom score was statistically significant (P<0.001). Conclusions The COVID-19 symptom score is an important risk factor or predictor of frailty in patients with COVID-19. As the level of COVID-19 symptom score increases, the risk of frailty in COVID-19 patients increases.
ObjectiveTo explore the epidemiological characteristics, clinical manifestations, laboratory examination and imaging findings of patients with coronavirus disease 2019 (COVID-19) outside Hubei Province in 2019.MethodsFrom January 21, 2020 to February 18, 2020, 17 patients with COVID-19 diagnosed by SARS-CoV-2 nucleic acid test in Xianyang Central Hospital of Shaanxi Province and 23 patients in Liaocheng Infectious Disease Hospital of Shandong Province were collected. The information of epidemiology, age, time of onset, first symptom, white blood cell, lymphocyte count, procalcitonin (PCT), serum amyloid protein A (SAA), C-reactive protein (CRP) and chest CT were collected and analyzed.Results40.0% of the 40 patients had a clear history of contact with Wuhan or other areas of Hubei, 60.0% had no clear exposure history, 60.0% were aggregative diseases, 40.0% were imported patients; the average visit time was (4.9±3.5) d, 35% of the patients had underlying diseases; 75.0% of the patients had fever, 7.5% of the initial symptoms were cough, 5.0% pharyngitis, 2.5% headache, and 10.0% were asymptomatic. In the laboratory examination, 77.5% of the patients' white blood cells were normal, 45.0% of the patients' lymphocyte count could be decreased, 72.5% and 55.0% of the patients' SAA and CRP increased respectively, 92.5% of the patients' PCT was normal, 92.5% of the patients were positive for the first nucleic acid test, and 72.5% of the patients' chest CT showed multiple ground glass lesions in one or both lungs, and the positive coincidence rate between the initial nucleic acid test and the chest CT test was 92.5%. 90% of the patients in the group were common type, and all patients were treated with aerosol inhalation of α-interferon combined with lopinavir/ritonavir tablets, 62.5% were treated with antibiotics and 15.0% were treated with glucocorticoid. All patients were improved and 14 patients were cured and discharged from hospital.ConclusionsSARS-COV-2 is highly contagious, family aggregation infection and asymptomatic infection may be the main mode of transmission outside Hubei Province, mild and common types are common, there are no specific changes in laboratory examination, and the condition is stable after treatment.
At present, coronavirus disease 2019 has become the most serious public health emergency in the world. The disease is still spreading around the world. The disease progresses rapidly and is highly contagious, causing great harm to the public health security of the world. Based on the research evidence published at home and abroad, this article systematically summarizes the biological structure of severe acute respiratory syndrome coronavirus 2, and the pathogenesis, transmission routes and susceptible populations, clinical features and treatment methods of coronavirus disease 2019. It aims to help medical workers understand coronavirus disease 2019 in order to better diagnose and treat the disease, and provide references for future research.
ObjectiveTo investigate the clinical characteristics and risk factors of patients with coronavirus disease 2019 (COVID-19), to provide a basis for clinical classification, diagnosis, and treatment.MethodsThe clinical data of COVID-19 patients comfirmed between January 17th and February 13th, 2020 were collected, single-factor test and multivariate logistic regression were used to compare the relevant indicators between the mild or common cases and the severe or critically severe cases.ResultsA total of 202 patients with COVID-19 were included, with an average age of 45.2 years and a male-to-female ratio of 1∶1.02. There were 146 patients (72.3%) without underlying diseases. The average time from onset to diagnosis was 5.4 d, and 31 were clustering epidemic cases. There were 13 (6.4%) mild cases, 151 (74.8%) common cases, 32 (15.8%) severe cases, and 6 (3.0%) critically severe cases. The main clinical symptoms were fever, cough, gasp, and diarrhea. Of the 202 patients, 135 (66.8%) had normal white blood cell count, 22 (10.9%) had lymphocyte ratio >40%, 18 (8.9%) had elevated aspartate aminotransferase (AST), 11 (5.4%) had elevated creatine kinase MB isoenzyme (CKMB), and 143 (70.8%) had elevated C-reactive protein (CRP). Single factor analyses showed that there were statistically significant differences between the mild or common cases and the severe or critically severe cases in the days of diagnosis, age, underlying disease, percentage of neutrophil, percentage of lymphocyte, arterial oxygen partial pressure, CRP, procalcitonin, lactate dehydrogenase, creatine kinase, CKMB, and AST (all P<0.05); multiple logistic regression analysis showed that CRP [odds ratio (OR)=1.035, 95% confidence interval (CI) (1.015, 1.055), P=0.001], CKMB [OR=1.078, 95%CI (1.023, 1.135), P=0.005], and AST [OR=1.042, 95%CI (1.016, 1.069), P=0.002] were correlated with clinical classification.ConclusionsCOVID-19 patients are mild or common cases mostly. CRP, CKMB, and AST are elevated in some cases, which may be related to early inflammation and certain myocardial damages and are independent risk factors for predicting classification.
Since December 2019, severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection has gradually spread all over the world. With the implementation of class B infectious disease management policy for coronavirus disease 2019 (COVID-19), China has experienced a pandemic. For patients receiving a time-sensitive or emergency surgery, SARS-CoV-2 infection may increase the risk of postoperative pulmonary complications. An appropriate perioperative mechanical ventilation strategy, such as lung protective ventilation strategy, is particularly important for preventing postoperative pulmonary complications in patients undergoing general anesthesia. In addition, how to protect medical personnel from being infected is also the focus we need to pay attention to. This article will discuss the perioperative mechanical ventilation strategy for COVID-19 patients and the protection of medical personnel, in order to provide reference for the development of guidelines.
In post-coronavirus disease 2019 era, people’s style of work and life have undergone major changes. The sedentary style of work and life, such as long-time office work, online meetings, home eating, online social interactions, and reduced range of activities, affect people’s physical and mental health. Neck and shoulder pain is one of the common symptoms. By combining the clinical practice experience of orthopedic medical experts in West China Hospital of Sichuan University, and reviewing a large number of literatures, this article summarized the definition, incidence, hazards, causes, evaluation and prevention of neck and shoulder pain in post-coronavirus disease 2019 era. It aimed to provide experience for the prevention and treatment of neck and shoulder pain in post-coronavirus disease 2019 era.
ObjectiveTo investigate the static pulmonary function and cardiopulmonary exercise function of convalescent patients with coronavirus disease 2019 (COVID-19) after discharge.MethodsPulmonary function and cardiopulmonary exercise capacity of COVID-19 patients who admitted to our hospital from January to March 2020 were analyzed. The patients were divided into a non-critical group (3 cases of moderate illness, 2 cases of severe illness) and a critical group (5 cases of critical illness). Five of the 10 patients completed spirometry on day 14 after discharge. All patients performed spirometry, diffusion capacity and cardiopulmonary exercise test around 28 days post-discharge. Ten healthy subjects were used as a control group.ResultsForced expiratory volume in one second of percent predicted (FEV1%pred), forced vital capacity of percent predicted (FVC%pred), the FEV1/FVC ratio (FEV1/FVC), peak expiratory flow of percent predicted (PEF%pred) and mean forced expiratory flow between 25% and 75% of percent predicted (FEF25%-75%%pred) of COVID-19 group were all within normal ranges, and there were no significant difference between COVID-19 group and the healthy group (P>0.05). Diffusion capacity (the carbon monoxide diffusion capacity of percent predicted, DLCO%pred) decreased in 3 patients. The peak oxygen uptake of percent predicted (PeakVO2%pred), oxygen uptake efficiency slope (OUES), Oxygen pulse of percent predicted (VO2/HR%pred) in COVID-19 group decreased and were statistically significantly lower than the control group (P<0.05), but there was no significant difference in ventilatory equivalents for carbon dioxide at anaerobic threshold (VE/VCO2@AT) and the slope of ventilatory equivalent for carbon dioxide (VE/VCO2 slope) between the two groups (P>0.05). Compared to the non-critical group, the critical group displayed significantly lower FVC%pred and VO2/HR%pred (P<0.05). A decrease in PeakVO2%pred was observed in critical group, but the difference did not reach statistical significance (P>0.05). The FVC%pred and PEF%pred were significantly improved in 5 COVID-19 convalescents on Day 28 after discharge when comparing with day 14 (P<0.05).ConclusionsIn the first month after discharge, recovered COVID-19 patients mainly presented decreased exercise endurance in cardiopulmonary function tests.There are also some survivors with reduced diffusion function, but the impaired lung function of COVID-19 patients might return over time.
This article discusses the concret implementation of day surgery in Ophthalmology Center, Beijing Tongren Hospital, Capital Medical University during the coronavirus disease 2019 epidemic and under the regular prevention and control, so as to provide a basis for ensuring the safety and effectiveness of clinical work in the special period. According to the requirements of health administration departments and the hospital for the prevention and control of epidemic, combining with the characteristics of concret work, the Ophthalmology Center carried out and accurately implemented a series of prevention and control management measures, and obtained good results in the clinical work on the basis of comprehensive security protection. From February to October, 2020, there were a total of 16 507 cases who underwent the day surgery in the Ophthalmology Center, with no surgical infection or suspected case of coronavirus disease 2019. The safety and quality management of epidemic prevention and control has played an active and effective role in the active development of day surgery in this center. The safe and optimized diagnosis and treatment process has reassured the patients and their families, and the strict implementation of protective measures by medical staff has ensured the safety of surgery and the work being proceed with smooth progress and high efficacy.
The prevention and control of coronavirus disease 2019 is severe. In order to reduce the exposure of high-risk population and help home protection for at-risk population, West China Hospital of Sichuan University actively explored the construction and practice of online monitoring and home control systems, established a follow-up work team for at-risk population, formulated standardized work models and procedures, set up an online standardized follow-up information registration form to collect follow-up data, and controlled the process quality through repeated supervision. During the epidemic period of coronavirus disease 2019, West China Hospital of Sichuan University online follow-up mode can play a positive supporting role in the epidemic prevention and control and promoting this model has certain reference value for various medical institutions.