High myoglobin level as an independent risk factor for death in patients with critical COVID-19 infection：A retrospective case-control study (preprint)

Aim This study aimed to discover risk factors for death in patients with critical COVID-19 infection in order to identify patients with a higher risk of death at an early stage.Methods We retrospectively analyzed the clinical data of patients with critical COVID-19 infection from April 2022 to June 2022. Data were collected from the electronic medical records. Propensity matching scores were used to reduce the effect of confounding factors, such as patient baseline variables. Independent risk factors affecting patient prognosis were assessed using univariate logistic regression and multivariate logistic regression analysis. Restricted cubic spline curves were used to assess the relationship between independent and dependent variables.Results The data of 137 patients with critical COVID-19 infection were collected. Of the 137 patients, 84 survived and 53 died. Among laboratory indicators, patients who died had higher proportions of abnormalities in RDW SD, procalcitonin, aspartate aminotransferase (AST), creatinine, potassium, cardiac troponin I, and myoglobin. Univariate and multivariate logistic regression analyses suggested that abnormal AST (OR = 3.26, P = 0.044), creatinine (OR = 4.49, P = 0.037), and myoglobin (OR = 9.88, P = 0.025) were independent risk factors for death. After correction for AST and creatinine, a linear relationship between myoglobin and risk of death in patients was found using restricted cubic splines.Conclusion High myoglobin level is an independent risk factor for death and is therefore a prognostic marker in patients with severe COVID-19 infection.

From existential anxiety to posttraumatic growth:: The stranded traveler during the pandemic outbreak.

For many, the COVID-19 pandemic is an existential trauma. Existential traumas trigger people's ultimate concerns and shatter individuals' basic assumptions. Based on the perspective of existential positive psychology, this study explores the posttraumatic growth of travelers from Hubei, China, during the early outbreak period. Grounded theory is used to analyze the stranded experience of epicenter travelers during the sudden crisis. This study reveals the intertwined traumatic events that evoke existential anxiety in travelers, as well as five dimensions of posttraumatic growth. Moreover, a theoretical framework is presented, elaborating on the influence path of key factors such as social support, cognition, and coping strategies on posttraumatic growth. Finally, the finding shows a strong resonance between posttraumatic growth and transformative tourism experiences.

Both simulation and sequencing data reveal coinfections with multiple SARS-CoV-2 variants in the COVID-19 pandemic.

SARS-CoV-2 is a single-stranded RNA betacoronavirus with a high mutation rate. The rapidly emerging SARS-CoV-2 variants could increase transmissibility and diminish vaccine protection. However, whether coinfection with multiple SARS-CoV-2 variants exists remains controversial. This study collected 12,986 and 4,113 SARS-CoV-2 genomes from the GISAID database on May 11, 2020 (GISAID20May11), and Apr 1, 2021 (GISAID21Apr1), respectively. With single-nucleotide variant (SNV) and network clique analyses, we constructed single-nucleotide polymorphism (SNP) coexistence networks and discovered maximal SNP cliques of sizes 16 and 34 in the GISAID20May11 and GISAID21Apr1 datasets, respectively. Simulating the transmission routes and SNV accumulations, we discovered a linear relationship between the size of the maximal clique and the number of coinfected variants. We deduced that the COVID-19 cases in GISAID20May11 and GISAID21Apr1 were coinfections with 3.20 and 3.42 variants on average, respectively. Additionally, we performed Nanopore sequencing on 42 COVID-19 patients and discovered recurrent heterozygous SNPs in twenty of the patients, including loci 8,782 and 28,144, which were crucial for SARS-CoV-2 lineage divergence. In conclusion, our findings reported SARS-CoV-2 variants coinfection in COVID-19 patients and demonstrated the increasing number of coinfected variants.

Inhibitory activities of alginate phosphate and sulfate derivatives against SARS-CoV-2 in vitro

Alginate derivatives have been demonstrated remarkable antiviral activities. Here we firstly identified polymannuronate phosphate (PMP) as a highly potential anti-SARS-CoV-2 agent. The structure-activity relationship showed polymannuronate monophosphate (PMPD, Mw: 5.8 kDa, P%: 8.7 %) was the most effective component to block the interaction of spike to ACE2 with an IC50 of 85.5 nM. Surface plasmon resonance study indicated that PMPD could bind to spike receptor binding domain (RBD) with the KD value of 78.59 nM. Molecular docking further suggested that the probable binding site of PMPD to spike RBD protein is the interaction interface between spike and ACE2. PMPD has the potential to inhibit the SARS-CoV-2 infection in an independent manner of heparan sulfate proteoglycans. In addition, polyguluronate sulfate (PGS) and propylene glycol alginate sodium sulfate (PSS) unexpectedly showed 3CLpro inhibition with an IC50 of 1.20 μM and 1.42 μM respectively. The polyguluronate backbone and sulfate group played pivotal roles in the 3CLpro inhibition. Overall, this study revealed the potential of PMPD as a novel agent against SARS-CoV-2. It also provided a theoretical basis for further study on the role of PGS and PSS as 3CLpro inhibitors. Graphical Unlabelled Image

Construction and Validation of Mortality Risk Nomograph Model for Severe/Critical Patients with COVID-19.

Objective: A nomograph model of mortality risk for patients with coronavirus disease 2019 (COVID-19) was established and validated. Methods: We collected the clinical medical records of patients with severe/critical COVID-19 admitted to the eastern campus of Renmin Hospital of Wuhan University from January 2020 to May 2020 and to the north campus of Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, from April 2022 to June 2022. We assigned 254 patients to the former group, which served as the training set, and 113 patients were assigned to the latter group, which served as the validation set. The least absolute shrinkage and selection operator (LASSO) and multivariable logistic regression were used to select the variables and build the mortality risk prediction model. Results: The nomogram model was constructed with four risk factors for patient mortality following severe/critical COVID-19 (≥3 basic diseases, APACHE II score, urea nitrogen (Urea), and lactic acid (Lac)) and two protective factors (percentage of lymphocyte (L%) and neutrophil-to-platelets ratio (NPR)). The area under the curve (AUC) of the training set was 0.880 (95% confidence interval (95%CI), 0.837~0.923) and the AUC of the validation set was 0.814 (95%CI, 0.705~0.923). The decision curve analysis (DCA) showed that the nomogram model had high clinical value. Conclusion: The nomogram model for predicting the death risk of patients with severe/critical COVID-19 showed good prediction performance, and may be helpful in making appropriate clinical decisions for high-risk patients.

Statin Therapy and the Risk of Viral Infection: A Retrospective Population-Based Cohort Study.

Statins exert cholesterol-independent beneficial effects, including immunomodulatory effects. In this study, we attempted to investigate the association between statin therapy and the risk of viral infection. We conducted a retrospective cohort study using data from Taiwan's National Health Insurance Research Database. We identified patients with hyperlipidemia and divided them into two cohorts: statin users and statin nonusers. A 1:1 propensity score matching was conducted between the two cohorts, and a Cox proportional hazards model was used to evaluate the risk of viral infection. Overall, a total of 20,202 patients were included in each cohort. The median follow-up durations were 4.41 and 6.90 years for statin nonusers and users, respectively. The risk of viral infection was 0.40-fold (95% confidence interval = 0.38-0.41) in statin users than in statin nonusers after adjustment for potential confounders. Statin treatment was associated with a significantly lower risk of viral infection in all age groups older than 18 years in both men and women. Moreover, the risk of viral infection substantially reduced as the duration of statin treatment increased. Our findings suggest that statin therapy is associated with a significantly lower risk of viral infection in patients with hyperlipidemia.

An Analysis on the Clinical Features of Maintenance Hemodialysis Patients with Coronavirus Disease 2019: A Single Center Study

Background and Objectives: Patients on maintenance hemodialysis (MHD) are at high risk for coronavirus disease 2019 (COVID-19). However, patients undergoing MHD who are infected with COVID-19 are not fully studied. The objective of this study is to describe the characteristics of patients with COVID-19 undergoing MHD and provide a basis for the recognition and prevention of COVID-19 infection. Materials and Methods: Patients undergoing MHD were assigned into the normal group (537 cases), diagnosed group (66 cases), and suspected group (24 cases). General data, clinical symptoms, hemodialysis indicators, and laboratory indicators were collected and compared. Results: A total of 627 patients undergoing MHD were evaluated. The prevalence of COVID-19 was 10.53% (66/627), mortality was 18.18% (12/66), and death rate was 1.91% (12/627). In addition, 26% of patients were asymptomatic. Cough was the most common symptom (36%), followed by fatigue (16%), dyspnea (16%), and fever (13%). Ultrafiltration volume, ultrafiltration rate, and the duration of weekly dialysis in the diagnosed group were significantly lower than those in the other two groups. Moreover, neutrophil ratio and neutrophil, monocyte, and total carbon dioxide levels in the diagnosed group were significantly higher than those in the normal group, and the lymphocyte ratio was considerably lower than in the normal group. Sixty-five of the suspected and diagnosed patients had positive pulmonary CT findings. Conclusion: Compared with the general population, patients on hemodialysis have a significantly higher risk of contracting COVID-19 and postinfection mortality. Moreover, most patients undergoing hemodialysis have no obvious clinical symptoms after infection with COVID-19 but only have pulmonary changes which make it particularly important to screen and manage patients undergoing hemodialysis on outpatient basis.

CFD Numerical Simulation in Building Drainage Stacks as an Infection Pathway of COVID-19.

Being aware of global pandemics, this research focused on the potential infection routes in building drainage systems. Case studies have found that dysfunctional building drainage systems not only failed to block contaminants but also potentially became a route for the spreading of viruses. Several fluid simulations in pipelines were conducted in this research using COMSOL Multiphysics. In particular, virus transmission from one patient's room to other uninfected residential units through pipelines was visualized. A 12-story building, which is commonly seen in the local area, was designed as a simulation model to visualize the transmission and analyze its hazards. Furthermore, five environmental factors were filtered out for discussion: distance, time span, pressure, initial concentration, and environment temperature. By manipulating these factors, the relationship between the factors and the behavior of the contaminant could be explored. In addition, a simulation with a different pipeline arrangement was included to observe the virus diffusion behavior under different scenarios. The visualized simulation concluded that the contaminant would spread through the drainage system and arrive at the neighboring four floors within an hour under the circumstances of a 12-story building with broken seals and constant pressure and contaminant supply on the seventh floor. Meanwhile, the whole building would be exposed to infection risks by the continuous virus spreading through a drainage system. Distance, time span, and pressure were considered critical factors that affected indoor contamination in the system. On the other hand, initial concentration and environmental temperature did not have significant roles. Visualizing the behavior of viruses provides a glimpse of what happens behind walls, paving the way for recognizing the importance of maintaining functional drainage systems for individuals' health.

5-Hydroxymethylcytosine Signatures in Circulating Cell-Free DNA as Early Warning Biomarkers for COVID-19 Progression and Myocardial Injury.

Background: The symptoms of coronavirus disease 2019 (COVID-19) range from moderate to critical conditions, leading to death in some patients, and the early warning indicators of the COVID-19 progression and the occurrence of its serious complications such as myocardial injury are limited. Methods: We carried out a multi-center, prospective cohort study in three hospitals in Wuhan. Genome-wide 5-hydroxymethylcytosine (5hmC) profiles in plasma cell-free DNA (cfDNA) was used to identify risk factors for COVID-19 pneumonia and develop a machine learning model using samples from 53 healthy volunteers, 66 patients with moderate COVID-19, 99 patients with severe COVID-19, and 38 patients with critical COVID-19. Results: Our warning model demonstrated that an area under the curve (AUC) for 5hmC warning moderate patients developed into severe status was 0.81 (95% CI 0.77-0.85) and for severe patients developed into critical status was 0.92 (95% CI 0.89-0.96). We further built a warning model on patients with and without myocardial injury with the AUC of 0.89 (95% CI 0.84-0.95). Conclusion: This is the first study showing the utility of 5hmC as an accurate early warning marker for disease progression and myocardial injury in patients with COVID-19. Our results show that phosphodiesterase 4D and ten-eleven translocation 2 may be important markers in the progression of COVID-19 disease.

Analysis of the Spatial and Temporal Evolution of Land Subsidence in Wuhan, China from 2017 to 2021

Land subsidence is a common geological hazard. Rapid urban expansion has led to different degrees of ground subsidence within Wuhan in the past few years. The novel coronavirus outbreak in 2020 has seriously impacted urban construction and people's lives in Wuhan. Land subsidence in Wuhan has changed greatly with the resumption of work and production. We used 80 Sentinel-1A Synthetic Aperture Radar (SAR) images covering Wuhan to obtain the land subsidence change information of Wuhan from July 2017 to September 2021 by using the small baseline subset interferometric SAR technique. Results show that the subsidence in Wuhan is uneven and concentrated in a few areas, and the maximum subsidence rate reached 57 mm/yr during the study period. Compared with land deformation before 2017, the land subsidence in Wuhan is more obvious after 2020. The most severe area of subsidence is located near Qingling in Hongshan District, with a maximum accumulated subsidence of 90 mm, and obvious subsidence funnels are observed in Qiaokou, Jiangan, Wuchang and Qingshan Districts. The location of subsidence centers in Wuhan is associated with building intensity, and most of the subsidence funnels are formed in connection with urban subway construction and building construction. Carbonate belt and soft ground cover areas are more likely to lead to karst collapse and land subsidence phenomena. Seasonal changes are observed in the land subsidence in Wuhan. A large amount of rainfall can replenish groundwater resources and reduce the rate of land subsidence. The change in water level in the Yangtze River has a certain impact on the land subsidence along the rivers in Wuhan, but the overall impact is small. An obvious uplift is observed in Caidian District in the south of Wuhan, and the reason may be related to the physical and chemical expansion effects of the expansive clay.

CFD Numerical Simulation in Building Drainage Stacks as an Infection Pathway of COVID-19

Being aware of global pandemics, this research focused on the potential infection routes in building drainage systems. Case studies have found that dysfunctional building drainage systems not only failed to block contaminants but also potentially became a route for the spreading of viruses. Several fluid simulations in pipelines were conducted in this research using COMSOL Multiphysics. In particular, virus transmission from one patient's room to other uninfected residential units through pipelines was visualized. A 12-story building, which is commonly seen in the local area, was designed as a simulation model to visualize the transmission and analyze its hazards. Furthermore, five environmental factors were filtered out for discussion: distance, time span, pressure, initial concentration, and environment temperature. By manipulating these factors, the relationship between the factors and the behavior of the contaminant could be explored. In addition, a simulation with a different pipeline arrangement was included to observe the virus diffusion behavior under different scenarios. The visualized simulation concluded that the contaminant would spread through the drainage system and arrive at the neighboring four floors within an hour under the circumstances of a 12-story building with broken seals and constant pressure and contaminant supply on the seventh floor. Meanwhile, the whole building would be exposed to infection risks by the continuous virus spreading through a drainage system. Distance, time span, and pressure were considered critical factors that affected indoor contamination in the system. On the other hand, initial concentration and environmental temperature did not have significant roles. Visualizing the behavior of viruses provides a glimpse of what happens behind walls, paving the way for recognizing the importance of maintaining functional drainage systems for individuals' health.

Effects of statins on the risks of ischemic stroke and heart disease in human immunodeficiency virus infection, influenza and severe acute respiratory syndrome-associated coronavirus: respiratory virus infection with steroid use.

OBJECTIVES: We sought to fill the research gap on the effects of statins on the risks of ischemic stroke and heart disease among individuals with human immunodeficiency virus infection, influenza, and severe acute respiratory syndrome associated-coronavirus (HIS) disorders. METHODS: We enrolled a HIS cohort treated with statins (n = 4921) and a HIS cohort not treated with statins (n = 4921). The cumulative incidence of ischemic stroke and heart disease was analyzed using a time-dependent Cox proportional regression analysis. We analyzed the adjusted hazard ratio (aHR) and 95% confidence interval (CI) of ischemic stroke and heart disease for statins users relative to nonusers based on sex, age, comorbidities and medications. RESULTS: The aHR (95% CI) was 0.38 (0.22-0.65) for ischemic stroke. The aHR (95% CI) of heart disease was 0.50 (0.46-0.55). The aHRs (95% CI) of statin users with low, medium, and high adherence (statin use covering <33%, 33%-66%, and >66%, respectively, of the study period) for the risks of ischemic stroke were 0.50 (0.27-0.92), 0.31 (0.10-1.01), and 0.16 (0.04-0.68) and for heart disease were 0.56 (0.51-0.61), 0.40 (0.33-0.48), and 0.44 (0.38-0.51), respectively, compared with statin nonusers. CONCLUSION: Statin use was associated with lower aHRs for ischemic stroke and heart disease in those with HIS disorders with comorbidities.

Poloxamer-188 Adjuvant Efficiently Maintains Adaptive Immunity of SARS-CoV-2 RBD Subunit Vaccination through Repressing p38MAPK Signaling.

Poloxamer-188 (P188) is a nonionic triblock linear copolymer that can be used as a pharmaceutical excipient because of its amphiphilic nature. This study investigated whether P188 can act as an adjuvant to improve the immunogenicity of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) receptor binding domain (RBD) subunit vaccine. BALB/c mice were vaccinated twice with the RBD antigen alone or in combination with P188 or MF59 (a commercial adjuvant for comparison purposes). The resulting humoral and cellular immunity were assessed. Results showed that P188 helped elicit higher neutralizing activity than MF59 after vaccination. P188 induced significant humoral immune response, along with type 1 T helper (Th1) and type 2 T helper (Th2) cellular immune response when compared with MF59 due to repressing p38MAPK phosphorylation. Furthermore, P188 did not result in adverse effects such as fibrosis of liver or kidney after vaccination. In conclusion, P188 is a novel adjuvant that may be used for safe and effective immune enhancement of the SARS-CoV-2 RBD antigen.

Analyzing an Epidemic of Human Infections with Two Strains of Zoonotic Virus

Due to the existence and variation of various viruses, an epidemic in which different strains spread at the same time will occur. here, an avian–human epidemic model with two strain viruses are established and analyzed. Both theoretical and simulation results reveal that the mixed infections intensify the epidemic and the dynamics become more complex and sensitive. There are six equilibria. The trivial equilibrium point is a high-order singular point and will undergo the transcritical bifurcations to bifurcate three equilibria. The existence and stability of equilibria mainly depend on five thresholds. A bifurcation portrait for the existence and stability of equilibria is presented. Simulations suggest that the key control measure is to develop the identification technology to eliminate the poultry infected with a high pathogenic virus preferentially, then the infected poultry with a low pathogenic virus in the recruitment and on farms. Controlling contact between human and poultry can effectively restrain the epidemic and controlling contagions in poultry can avoid great infection in humans.

The influencing factors of psychological carrying capacity of tourists in outdoor scenic areas in the context of COVID-19 - empirical study based on a visual behavior experiment

As COVID-19 mainly transmits through close contact, people tend to avoid crowded places when travelling. The psychological carrying capacity from tourists' perspective in outdoor scenic areas changes accordingly. However, tourism carrying capacity has been refined overtime to fit the changing situations in the context of COVID-19 without considering the psychological dimension. The Chinese government has required social distancing and mask wearing in crowded areas to control COVID-19 transmission at the individual level, which may change the psychological carrying capacity from tourists' perspective. Moreover, tourism risk perception and tourism motivation under the pandemic also leads to the change of psychological carrying capacity. What is the impact of self-protections, tourism risk perception and tourism motivation on the psychological carrying capacity in outdoor scenic areas? Therefore, based on the normative theory, with crowding norms as the indicator of psychological carrying capacity, this study focuses on the influence of social distance, mask wearing, tourism risk perception and tourism motivation on psychological carrying capacity of tourists in outdoor scenic areas. Since the visual method has been widely used to measure psychological carrying capacity with pictures as the substitutes of real scenes, the study takes the simulation pictures of outdoor scenic spots as the visual materials and carry out a visual behavior experiment. The experiment adopts a 6(in-group: social distance of 0 m/0.5 m-1 m/1 m-1.2 m/1.5 m-2 m/3 m-4.5 m/5 m-10 m)..2(between group: wearing/without a mask) two-factor mixed design. The results show that:(1) social distance and mask wearing both have significant main effect and interaction effect on crowding norms.(2) When wearing a mask, the psychological carrying capacity is the"safe distance"of 1 m-1.2 m, consistent with the current space carrying capacity of outdoor scenic areas and the safe social distance standard. When without a mask, the psychological carrying capacity is the"medium distance"of 1.5 m-2 m, which is significantly lower than the current space carrying capacity of outdoor scenic areas.(3) EFA discovers tourism risk perception includes three factors, namely "risk of infection", "individual realistic pressure", and "tourism environment pressure", and tourism motivation includes "released from the pandemic", "regaining sense of autonomy", and "enjoying life". Regression analysis finds that "risk of infection" has a significant negative impact on crowding norms, and"released from the pandemic"has a significant positive impact on crowding norms. The study integrated the COVID-19 prevention standards about self-protections closely related to outdoor activities with the psychological carrying capacity of outdoor scenic areas, and analyzed the influence mechanism of psychological carrying capacity, thus providing a theoretical basis for tourism carrying capacity management practices in the context of COVID-19.

Effects of statins and steroids on coronary artery disease and stroke in patients with interstitial lung disease and pulmonary fibrosis: A general population study.

PURPOSE: To determine the effects of statins and steroids on the risk of coronary artery disease (CAD) and stroke in patients with interstitial lung disease and pulmonary fibrosis (ILD-PF). METHODS: We retrospectively enrolled patients with ILD-PF who were using statins (statin cohort, N = 11,567) and not using statins (nonstatin cohort, N = 26,159). Cox proportional regression was performed to analyze the cumulative incidence of CAD and stroke. Adjusted hazard ratios (aHRs) and 95% confidence intervals (CIs) of CAD and stroke were determined after sex, age, and comorbidities, as well as the use of inhaler corticosteroids (ICSs), oral steroids (OSs), and statins, were controlled for. RESULTS: Compared with those of patients without statin use, the aHRs (95% CIs) of patients with statin use for CAD and ischemic stroke were 0.72 (0.65-0.79) and 0.52 (0.38-0.72), respectively. For patients taking single-use statins but not ICSs/OSs, the aHRs (95% CIs) for CAD and ischemic stroke were 0.72 (0.65-0.79)/0.69 (0.61-0.79) and 0.54 (0.39-0.74)/0.50 (0.32-0.79), respectively. For patients using ICSs/OSs, the aHRs (95% CIs) for CAD and ischemic stroke were 0.71 (0.42-1.18)/0.74 (0.64-0.85) and 0.23 (0.03-1.59)/0.54 (0.35-0.85), respectively. CONCLUSIONS: The findings demonstrate that statin use, either alone or in combination with OS use, plays an auxiliary role in the management of CAD and ischemic stroke in patients with ILD-PF.

[Recent Developments and Future Directions of Oral Healthcare System and Dental Public Health System in China in Light of the Current Global Emergency].

The study is aimed to help promote the development of the oral healthcare system and dental public health system in China and to help achieve the goal of improving the nation's oral health. We herein provided an overview and critical evaluation of recent developments in oral healthcare systems and dental public health systems in China and other countries, and discussed a number of potential directions for the future development of dental public health. The current global public health emergency of the coronavirus disease 2019 (COVID-19) pandemic was also taken into account in our discussions. Thus, to facilitate the accomplishment of the goals of the Healthy China 2030 Program, we suggested the establishment of a community-based, prevention-oriented model for the oral healthcare system and dental public health system. The model we proposed features the integration of oral and general health services, the utilization of technological innovations and big data concerning health, and a forceful promotion of remote dental services focused on prevention and early diagnosis and treatment. Furthermore, under the background of COVID-19 becoming a normal part of people's lives, we should adopt differentiated prevention and protection measures and emergency response preplans appropriate for the actual epidemic situation of a particular region so that clinical services are strengthened while unnecessary wastes of resources are avoided. We should actively explore for alternative approaches to care in the face of special circumstances.

Status quo and influencing factors of post-traumatic stress disorder among front-line anti-epidemic medical staff

[Background] Front-line medical staff are an important group in fighting against Coronavirus Disease 2019 (COVID-19), and their mental health should not be ignored. [Objective] This study investigates the current situation and influencing factors of post-traumatic stress disorder (PTSD) among front-line anti-epidemic medical staff during COVID-19 epidemic. [Methods] Medical staff who had participated in fighting against the COVID-19 epidemic wereselected from three grade III Class A hospitals and four grade II Class A hospitals in a city of Hubei Province by convenient sampling method in May 2020. The survey was conducted online using the Post-traumatic Stress Checklist-Civilian Version (PCL-C) as the main survey tool to investigate current situation and characteristics of PTSD among these participants. A total of 1120 questionnaires were collected, of which 1071 were valid, and the effective rate was 95.6%. [Results] Of the 1071 participants, the average age was (32.59±5.21) years;the ratio of male to female was 1: 5.02;the ratio of doctor to nurse was 1:5.8;nearly 70% participants came from grade III Class A hospitals;married participants accounted for 75.4%;most of them held a bachelor degree or above (86.5%);members of the Communist Party of China (CPC) accounted for 22.9%;50.9% had junior titles;the working years were mainly 5−10 years (42.8%);more than 80.0% participants volunteered to join the front-line fight;95.1% participants received family support;43.0% participated in rescue missions;78.1% participants fought the epidemic in their own hospitals;more than 60% participants considered the workload was greater than before;34.4% participants fought in the front-line for 2−4 weeks, and 23.5% participants did for more than 6 weeks. There were 111 cases of positive PTSD syndromes (PCL-C total score ≥38) with an overall positive rate of 10.4%, and the scores of reexperience [1.40 (1.00, 1.80)] and hypervigilance [1.40 (1.00, 2.00)] were higher than the score of avoidance [1.14 (1.00, 2.57)]. The results of univariate analysis revealed that PTSD occurred differently among participants grouped by age, political affiliation, working years, anti-epidemic activities location, accumulated working hours in fighting against COVID-19, having child parenting duty, voluntariness, family support, whether family members participated in front-line activities, and rescue mission assignment (P<0.05). The results of logistic regression analysis showed that the incidence rates of reporting PTSD syndromes in medical personnel aged 31−40 years (OR=0.346, 95%CI: 0.164−0.730) and aged 41 years and above (OR=0.513, 95%CI: 0.319-0.823) were lower than that in those aged 20−30 years;the incidence rates of reporting PTSD syndromes in medical staff who were CPC members (OR=0.499, 95%CI: 0.274−0.909), volunteered to participate (OR=0.584, 95%CI: 0.360−0.945), and received family support (OR=0.453, 95%CI: 0.222-0.921) were lower than those did not (P<0.05);the incidence rates of reporting PTSD syndromes among medical workers who had child parenting duty (OR=2.372, 95%CI: 1.392−4.042), whose family members participated in front-line activities (OR=1.709, 95%CI: 1.135−2.575), and who participated in rescue missions (OR=1.705, 95%CI: 1.133-2.565) were higher than those who did not (P<0.05). [Conclusion] The positive PTSD syndrome rate is 10.4% in the front-line anti-epidemic medical staff. Age, political affiliation, voluntariness, family support, having child parenting duty, with a family members participating in the fight, and rescue mission assignment are the influencing factors of PTSD.