The value of artificial intelligence and imaging diagnosis in the fight against COVID-19.

The outbreak of the new type of coronavirus pneumonia (COVID-19) has caused a huge impact on the world. In this case, only by adhering to the prevention and control methods of early diagnosis, early isolation, and early treatment, can the spread of the virus be prevented to the greatest extent. This article uses artificial intelligence-assisted medical imaging diagnosis as the research object, combines artificial intelligence and CT medical imaging diagnosis, introduces an intelligent COVID-19 detection system, and uses it to achieve COVID-19 disease screening and lesion evaluation. CT examination has the advantages of fast speed and high accuracy, which can provide a favorable basis for clinical diagnosis. This article collected 32 lung CT scan images of patients with confirmed COVID-19. Two professional radiologists analyzed the CT images using traditional imaging diagnostic methods and artificial intelligence-assisted imaging diagnostic methods, and the comparison showed the gap between the two methods. According to experiments, CT imaging diagnosis assisted by artificial intelligence only takes 0.744 min on average, which can save a lot of time and cost compared with the average time of 3.623 min for conventional diagnosis. In terms of comprehensive test accuracy, it can be concluded that the combination of artificial intelligence and imaging diagnosis has extremely high application value in COVID-19 diagnosis.

Psychological Distress and Risk Factors in Frontline Nurses Confronting COVID-19 in Less Severely Affected Areas.

The current study investigated the prevalence and risk factors of somatization, depression, and anxiety among 374 frontline nurses in less severely affected areas during the initial period of the coronavirus disease 2019 (COVID-19) outbreak. The prevalence of somatization, depression, and anxiety among frontline nurses was 41.4%, 40.1%, and 37.4%, respectively. Nurses from provincial-level hospitals were less likely to report somatization (odds ratio [OR] = 0.50; p = 0.018), depression (OR = 0.52; p = 0.024), and anxiety (OR = 0.35; p < 0.001) than those from county-level hospitals. Longer service duration was significantly associated with a higher likelihood of reporting somatization (OR = 1.06; p = 0.008) and depression (OR = 1.06; p = 0.006). Psychological distress exists in frontline nurses in less severely affected areas, and hospital levels and service duration are independent risk factors for psychological stress in these nurses. Maintaining nurses' mental health is an important issue in addressing the COVID-19 pandemic in addition to sufficient distribution of medical resources between hospitals at different levels. [Journal of Psychosocial Nursing and Mental Health Services, xx(x), xx-xx.].

A Novel Mathematical Model That Predicts the Protection Time of SARS-CoV-2 Antibodies.

Infectious diseases such as SARS-CoV-2 pose a considerable threat to public health. Constructing a reliable mathematical model helps us quantitatively explain the kinetic characteristics of antibody-virus interactions. A novel and robust model is developed to integrate antibody dynamics with virus dynamics based on a comprehensive understanding of immunology principles. This model explicitly formulizes the pernicious effect of the antibody, together with a positive feedback stimulation of the virus-antibody complex on the antibody regeneration. Besides providing quantitative insights into antibody and virus dynamics, it demonstrates good adaptivity in recapturing the virus-antibody interaction. It is proposed that the environmental antigenic substances help maintain the memory cell level and the corresponding neutralizing antibodies secreted by those memory cells. A broader application is also visualized in predicting the antibody protection time caused by a natural infection. Suitable binding antibodies and the presence of massive environmental antigenic substances would prolong the protection time against breakthrough infection. The model also displays excellent fitness and provides good explanations for antibody selection, antibody interference, and self-reinfection. It helps elucidate how our immune system efficiently develops neutralizing antibodies with good binding kinetics. It provides a reasonable explanation for the lower SARS-CoV-2 mortality in the population that was vaccinated with other vaccines. It is inferred that the best strategy for prolonging the vaccine protection time is not repeated inoculation but a directed induction of fast-binding antibodies. Eventually, this model will inform the future construction of an optimal mathematical model and help us fight against those infectious diseases.

More or less deadly? A mathematical model that predicts SARS-CoV-2 evolutionary direction.

SARS-CoV-2 has caused tremendous deaths globally. It is of great value to predict the evolutionary direction of SARS-CoV-2. In this paper, we proposed a novel mathematical model that could predict the evolutionary trend of SARS-CoV-2. We focus on the mutational effects on viral assembly capacity. A robust coarse-grained mathematical model is constructed to simulate the virus dynamics in the host body. Both virulence and transmissibility can be quantified in this model. A delicate equilibrium point that optimizes the transmissibility can be numerically obtained. Based on this model, the virulence of SARS-CoV-2 might further decrease, accompanied by an enhancement of transmissibility. However, this trend is not continuous; its virulence will not disappear but remains at a relatively stable range. A virus assembly model which simulates the virus packing process is also proposed. It can be explained why a few mutations would lead to a significant divergence in clinical performance, both in the overall particle formation quantity and virulence. This research provides a novel mathematical attempt to elucidate the evolutionary driving force in RNA virus evolution.

Recent Advances in Phage-Based Therapeutics for Multi-Drug Resistant Acinetobacter baumannii.

Acinetobacter baumannii is an important opportunistic pathogen common in clinical infections. Phage therapy become a hot research field worldwide again after the post-antibiotic era. This review summarizes the important progress of phage treatments for A. baumannii in the last five years, and focus on the new interesting advances including the combination of phage and other substances (like photosensitizer), and the phage encapsulation (by microparticle, hydrogel) in delivery. We also discuss the remaining challenges and promising directions for phage-based therapy of A. baumannii infection in the future, and the innovative combination of materials in this area may be one promising direction.

The effectiveness of social distancing in reducing transmission during influenza epidemics: A systematic review.

BACKGROUND: Social distance practices are crucial for outpatient clinics during disease outbreaks and are an effective preventive measure for reducing influenza transmission during such pandemics in people with poor health. METHODS: This study applies an evidence-based practice (EBP) approach to confirm the effectiveness of social distancing in healthy individuals during an influenza pandemic and employs the induced ordered weighted averaging model to confirm the effectiveness of EBP. The study design, validity, reliability, results, and generalizability focused on discussing three systematic reviews and two cohort studies via the Critical Appraisal Skills Programme (CASP). First, by introducing the patient, intervention, comparison, outcome (PICO) question; second, by establishing the five steps of EBP; third, by utilizing the CASP checklist for the appraisal; and finally, by presenting a conclusion. RESULTS: According to the hierarchy of evidence, preferred reporting items for systematic reviews and meta-analyses retrieved five articles for addressing the PICO question. All the evidence demonstrates that social distancing is valuable during influenza pandemics among non-infected individuals. Precise, timely, and robust social distancing implementation can reduce the spread of infection, delay the epidemic peak, and ease the pressure on healthcare resources. Gatekeepers are responsible for guiding individuals through the implementation process for reducing influenza transmission, particularly in densely populated areas. CONCLUSIONS: Social distance is crucial for outpatient clinics during an epidemic and effectively reduces the spread of infection, delay epidemic peaks, and eases pressure on healthcare resources.

Effects of Online Psychological Crisis Intervention for Frontline Nurses in COVID-19 Pandemic

Objective The psychological problems of frontline nurses in COVID-19 prevention and control are very prominent, and targeted intervention is needed to alleviate them. This study was to assess the impact of online intervention programs on psychological crisis of anxiety, depression levels and physical symptoms among frontline nurses fighting the COVID-19 pandemic. Methods A three-stage online psychological crisis intervention program was established. The General Anxiety 7 (GAD-7) assessment, Patient Health Questionnaire-9 (PHQ-9), and the Self-rating Somatic Symptom Scale (SSS) were used to evaluate the effect of intervention on the day before entering isolation wards (Time 1), the first day after leaving the isolation ward (Time 2), and at the end of the intervention (Time 3). Results Sixty-two nurses completed the study, including 59 female (95.2%) and three male nurses (4.8%) with an age range of 23–49 (mean 33.37 ± 6.01). A significant (P < 0.01) difference existed in the scores of GAD-7, PHQ-9, and SSS at different intervention periods. The GAD-7 score was significantly (P < 0.001) lower at the end of quarantine period (time 3) than that before entering the isolation wards (time 1) or after leaving the isolation wards (time 2), the PHQ-9 score was significantly (P = 0.016) lower at the end of quarantine period (time 3) than that after leaving the isolation wards (time 2), and the SSS score was significantly (P < 0.001) lower at the end of quarantine period (time 3) than that before entering the isolation wards (time 1) or after leaving the isolation wards (time 2). Conclusion The three-stage online intervention program based on the psychological crisis can be effective in reducing negative emotions and somatic symptoms and improving the mental health of frontline nurses in prevention and control of the COVID-19 epidemic. It may provide an empirical basis for psychological crisis intervention of frontline medical staff when facing public health emergencies.

Fear of Progression, Anxiety, and Depression in Patients With Advanced Melanoma in the COVID-19 and Post-COVID-19 Era.

Background: The novel coronavirus disease 2019 (COVID-19) pandemic causes great disruption to cancer care services, which might bring about psychological problems and further lower both physical and mental life quality in cancer patients. Until now, very few studies focused on the psychological distress of patients with advanced melanoma before or during the epidemic. This study aimed to elucidate the fear of progression (FoP), anxiety, depression, and related independent predictors in patients with advanced melanoma during the COVID-19 outbreak. Methods: Two hundred and seventy-three patients with unresectable stage III or metastatic melanoma were recruited from February 2020 to November 2021, and completed the Fear of Progression Questionnaire-Short Form (FoP-Q-SF), State Trait Anxiety Inventory (STAI-6), and Patient Health Questionnaire (PHQ-9). Results: One hundred and seventy-four (64.7%) patients experienced heighted FoP (FoP-Q-SF: 39.9 ± 11.0), 198 (72.5%) patients reported elevated anxiety (STAI-6: 13.1 ± 3.0), and 62 (22.7%) patients had increased depression (PHQ-9: 6.4 ± 6.1). In multivariate analysis, illness duration (OR = 0.987 for FoP; OR = 0.984 for depression), cancer stage (OR = 14.394 for anxiety) and disease progression (OR = 1.960 for FoP; OR = 23.235 for anxiety; OR = 1.930 for depression) were independent predictors for FoP, anxiety or depression. Additionally, the high levels of FoP, anxiety and depression were significantly positive correlated with each other (r = 0.466 for FoP and anxiety; r = 0.382 for FoP and depression; r = 0.309 for anxiety and depression). Conclusion: Our study indicates that FoP, anxiety and depression are persisting among patients with advanced melanoma in the COVID-19 and post-COVID-19 era. Effective psycho-oncological interventions are needed for melanoma patients with psychological distress during the ongoing COVID-19 pandemic.

A Continuous Markov-Chain Model for the Simulation of COVID-19 Epidemic Dynamics.

To address the urgent need to accurately predict the spreading trend of the COVID-19 epidemic, a continuous Markov-chain model was, for the first time, developed in this work to predict the spread of COVID-19 infection. A probability matrix of infection was first developed in this model based upon the contact frequency of individuals within the population, the individual's characteristics, and other factors that can effectively reflect the epidemic's temporal and spatial variation characteristics. The Markov-chain model was then extended to incorporate both the mutation effect of COVID-19 and the decaying effect of antibodies. The developed comprehensive Markov-chain model that integrates the aforementioned factors was finally tested by real data to predict the trend of the COVID-19 epidemic. The result shows that our model can effectively avoid the prediction dilemma that may exist with traditional ordinary differential equations model, such as the susceptible-infectious-recovered (SIR) model. Meanwhile, it can forecast the epidemic distribution and predict the epidemic hotspots geographically at different times. It is also demonstrated in our result that the influence of the population's spatial and geographic distribution in a herd infection event is needed in the model for a better prediction of the epidemic trend. At the same time, our result indicates that no simple derivative relationship exists between the threshold of herd immunity and the virus basic reproduction number R0. The threshold of herd immunity achieved through natural immunity is significantly higher than 1 - 1/R0. These not only explain the theoretical misconceptions of herd immunity thresholds in herd immunity theory but also provide a guidance for predicting the optimal vaccination coverage. In addition, our model can predict the temporal and spatial distribution of infections in different epidemic waves. It is implied from our model that it is challenging to eradicate COVID-19 in the short term for a large population size and a wide spatial distribution. It is predicted that COVID-19 is likely to coexist with humans for a long time and that it will exhibit multipoint epidemic effects at a later stage. The statistical evidence is consistent with our prediction and strongly supports our modeling results.

Relationship Between Myopia and Other Risk Factors With Anxiety and Depression Among Chinese University Freshmen During the COVID-19 Pandemic.

Purpose: To investigate the association of myopia and other risk factors with anxiety and depression among Chinese university freshmen during the coronavirus disease 2019 (COVID-19) pandemic. Methods: This cross-sectional study was conducted at the Tianjin Medical University from October 2020 to December 2020. Ophthalmic examination of the eyes was performed by an experienced ophthalmologist. Detailed information on depression, anxiety, and other risk factors was collected via the Self-rating Anxiety Scale and Self-rating Depression Scale. Results: The overall prevalence of anxiety and depression in our study was 10.34 and 25.13%, respectively. The prevalence of myopia and high myopia as 92.02 and 26.7%, respectively. There were significant associations between anxiety and spectacle power [odds ratios (OR) = 0.89; 95% CI: 0.81-0.98, P = 0.019], sphere equivalent (OR = 0.89; 95% CI: 0.81- 0.98, P = 0.025), sleep time (OR = 0.53; 95% CI: 0.35-0.79, P = 0.002), and body mass index (OR = 0.93; 95% CI: 0.86-0.99, P = 0.047). In the multivariable linear regression models, spectacle power (ß = -0.43; 95% CI: -0.68 to -0.19, P = 0.001) and sphere equivalent (ß = -0.36; 95% CI: -0.60 to -0.11, P = 0.005) were negatively associated with anxiety scores, whereas axial length (ß = 0.54; 95% CI: 0.02-1.07, P = 0.044) was positively correlated with anxiety scores. Every 1 h decrease in sleep time was associated with a 0.12-point increase in depression score. Conclusion: Myopia was associated with anxiety and anxiety scores. The greater the degree of myopia, the higher the anxiety score. However, myopia was not found to be associated with depression. The results highlight the importance of providing psychological support to students with myopia during the COVID-19 pandemic.

Association of Asthma and Rhinitis with Epigenetics of Coronavirus Related Genes.

INTRODUCTION: Susceptibility factors for coronavirus disease 2019 (COVID-19) include sex and medical conditions such as asthma and rhinitis. DNA methylation (DNAm) is associated with asthma, rhinitis, and several viruses. We examined associations of asthma/rhinitis with DNAm at CpGs located on coronavirus related genes, and if these associations were sex-specific. METHODS: In total, n = 242 subjects aged 26 years from the Isle of Wight Birth Cohort were included in the study. Linear regressions were used to examine sex specific and non-specific associations of DNAm at CpGs on coronavirus related genes with asthma/rhinitis status. Associations of DNAm with gene expression in blood were assessed for functional relevance of identified CpGs. RESULTS: Statistically significant interaction effects of asthma or rhinitis with sex were identified at 40 CpGs for asthma and 27 CpGs for rhinitis. At 21 CpGs, DNAm was associated with asthma, and at 45 CpGs with rhinitis, regardless of sex. Assessment of functional relevance of the identified CpGs indicated a potential of epigenetic regulatory functionality on gene activity at 14 CpGs for asthma and 17 CpGs for rhinitis, and of those 6 CpGs for asthma and 7 CpGs for rhinitis were likely to be sex-specific. CONCLUSION: Subjects with asthma/rhinitis may have altered susceptibility to COVID-19 due to changes in their DNAm associated with these conditions. Sex specificity on association of asthma/rhinitis with DNAm at certain CpGs, and on the association of DNAm at asthma/rhinitis-linked CpGs with gene expression have the potential to explain the reported sex-specificity in COVID-19 morbidity and mortality.

Methylation of Host Genes Associated with Coronavirus Infection from Birth to 26 Years.

DNA methylation (DNAm) patterns over time at 1146 CpGs on coronavirus-related genes were assessed to understand whether the varying differences in susceptibility, symptoms, and the outcomes of the SARS-CoV-2 infection in children and young adults could be explained through epigenetic alterations in a host cell's transcriptional apparatus to coronaviruses. DNAm data from the Isle of Wight birth cohort (IOWBC) at birth, 10, 18, and 26 years of age were included. Linear mixed models with repeated measurements stratified by sex were used to examine temporal patterns, and cluster analysis was performed to identify CpGs following similar patterns. CpGs on autosomes and sex chromosomes were analyzed separately. The association of identified CpGs and expression of their genes were evaluated. Pathway enrichment analyses of the genes was conducted at FDR = 0.05. DNAm at 635 of the 1146 CpGs on autosomes showed statistically significant time effects (FDR = 0.05). The 635 CpGs were classified into five clusters with each representing a unique temporal pattern of DNAm. Of the 29 CpGs on sex chromosomes, DNAm at seven CpGs in males and eight CpGs in females showed time effects (FDR = 0.05). Sex-specific and non-specific associations of DNAm with gene expression were found at 24 and 93 CpGs, respectively. Genes which mapped the 643 CpGs represent 460 biological processes. We suggest that the observed variability in DNAm with advancing age may partially explain differing susceptibility, disease severity, and mortality of coronavirus infections among different age groups.

Effects of novel Coronavirus pneumonia pandemic on the spread of multidrug-resistant Acinetobacter in ICU

OBJECTIVE: To investigate the effect of novel coronavirus pneumonia pandemic on multidrug-resistant Acinetobacter baumannii transmission in intensive care units(ICU) and to provide reference for the guidance of nosocomial infection prevention and control. METHODS: Data of multidrug-resistant A. baumannii in ICU1, ICU2 and neurosurgery ICU from Jan. 2019 to Aug. 2020 were collected. Contact times between healthcare workers and environmental surfaces, clearance rate of fluorescent marker in the culture of environment specimens before and after the novel coronavirus pneumonia outbreak, number of free colonies and number of MDR-AB were detected, and the correlation between MDR-AB detection rate of the environment and MDR-AB the infection rate were analyzed by using Pearson correlation analysis. RESULTS: The high-frequency contact surfaces in ICU were bed bars(43.59 times), quilts(39.58 times), treatment vehicles(30.83 times), vein tubes(27.46 times), nursing station table tops(27.20 times) and hand sterilized buttons(26.40 times). The clearance rate of fluorescent marker after novel coronavirus pneumonia outbreak was 81.35%, which was significantly higher than that before the new coronavirus-infected pneumonia epidemic outbreak(P<0.001), with the rate of 56.57%. The detection rate and infection rate of MDR-AB in the environment after new coronavirus-infected pneumonia epidemic were 5.40% and 1.80%, respectively, which were significantly lower than that before the epidemic(P<0.001). Pearson correlation analysis showed that the detection rate of MDR-AB in the ICU environment was positively correlated with the MDR-AB infection rate of patients(r=0.850, P=0.002). CONCLUSION: Methods of novel coronavirus pneumonia epidemic prevention promoted the implementation of environmental sanitation, disinfection and isolation measures, cut off the transmission route of multidrug-resistant A. baumannii, and played a positive role in the prevention and control of infection.

Clinical characteristics of 30 COVID-19 patients with epilepsy: A retrospective study in Wuhan.

OBJECTIVE: This study aims to present the clinical characteristics of 30 hospitalized cases with epileptic seizures and coronavirus disease 2019(COVID-19). METHODS: This is a retrospective observational research study. Clinical data were extracted from electronic medical records in 1550 patients with a laboratory-confirmed diagnosis of COVID-19, who were hospitalized in Wuhan Central Hospital, China, from 1 January to 31 April 2020. 30 COVID-19 patients with the diagnosis of epilepsy were enrolled. The clinical characteristics, complications, treatments, and clinical outcomes of 30 cases were collected and analyzed. RESULT: Of 30 patients with a diagnosis of epilepsy and COVID-19, 13 patients (43.4%) had new-onset epileptic seizures without an epilepsy history(new-onset seizure group, NS group), ten patients(33.3%) had an epilepsy history with a recurrent epileptic seizure (recurrent seizure group, RS group) and seven patients(23.3%) had an epilepsy history but no seizure during the course of COVID-19 (epilepsy history group, EH group). Patients in the RS group had a larger number of other-neurological-disease histories than those in the NS and EH groups (7/10[70%] VS 1/13 [7.7%] VS 1/7[14.3%]); the difference between the RS group and NS group is significant (P < 0.05). Patients in the NE and RS groups suffered more severe/critical COVID-19 infection than patients in the EH group (10/13[76.9%] VS 6/10[60%] VS 1/7[14.3%]); the difference between the NS group and EH group is significant (P < 0.05). 36.7% of patients had one to five neurological complications, and 46.4% of patients had 6-10 neurological complications. The complications in patients with seizures (in the RS and NS groups) seem to be more than those without seizures (in the EH group), but it did not reach statistical significance. The proportion of antiepileptic drugs (AEDs) treatment before admission was higher in the EH group than in the RE group(7/7 [100%] VS 2/10 [20%], P < 0.05). The mortality of 30 patients with epilepsy and COVID-19 was 36.67%. The mortality of the NS group(38.5%) and the RS group(50%) were a little higher than in the EH group(14.3%). None of the convalescent patients had a recurrent seizure, and there were no more deaths in the 3-month follow-up after discharge. CONCLUSIONS: COVID-19 patients with recurrent epileptic seizures had more underlying neurological diseases than patients who had an epilepsy history but without a seizure. Patients with new-onset and recurrent epileptic seizures suffered more severe/critical COVID-19, which may lead to a worse prognosis. If patients with epilepsy history continue using AEDs during COVID-19 pandemics, the risk of recurrent seizure may be reduced, and a good prognosis for patients with epilepsy history could be expected.

Red cell distribution width (RDW): a prognostic indicator of severe COVID-19.

BACKGROUND: The global mortality rate for coronavirus disease 2019 (COVID-19) is 3.68%, but the mortality rate for critically ill patients is as high as 50%. Therefore, the exploration of prognostic predictors for patients with COVID-19 is vital for prompt clinical intervention. Our study aims to explore the predictive value of hematological parameters in the prognosis of patients with severe COVID-19. METHODS: Ninety-eight patients who were diagnosed with COVID-19 at Jingzhou Central Hospital and Central Hospital of Wuhan, Hubei Province, were included in this study. RESULTS: The median age of the patients was 59 [28-80] years; the median age of patients with a good prognosis was 56 [28-79] years, and the median age of patients with a poor outcome was 67 [35-80] years. The patients in the poor outcome group were older than the patients in the good outcome group (P<0.05). The comparison of hematological parameters showed that lymphocyte count (Lym#), red blood cells (RBCs), hemoglobin (HGB), hematocrit (HCT), mean corpuscular volume (MCV), and mean corpuscular hemoglobin (MCH) were significantly lower in the poor outcome group than in the good outcome group (P<0.05). Further, the red cell volume distribution width-CV (RDW-CV) and red cell volume distribution width-SD (RDW-SD) were significantly higher in the poor outcome group than in the good outcome group (P<0.0001). Receiver operating characteristic (ROC) curves showed RDW-SD, with an area under the ROC curve (AUC) of 0.870 [95% confidence interval (CI) 0.796-0.943], was the most significant single parameter for predicting the prognosis of severe patients. When the cut-off value was 42.15, the sensitivity and specificity of RDW-SD for predicting the prognosis of severe patients were 73.1% and 80.2%, respectively. Reticulocyte (RET) channel results showed the RET level was significantly higher in critical patients than in moderate patients and severe patients (P<0.05), which may be one cause of the elevated RDW in patients with a poor outcome. CONCLUSIONS: In this study, the hematological parameters of COVID-19 patients were statistically analyzed. RDW was found to be a prognostic predictor for patients with severe COVID-19, and the increase in RET may contribute to elevated RDW.

Management of COVID-19 patients in Fangcang shelter hospital: clinical practice and effectiveness analysis.

Fangcang shelter (Cabin) hospitals were set up in order to cope with the rapid growth of confirmed cases of coronavirus disease 2019 (COVID-19) in Wuhan, China at a time when there were insufficient beds in designated hospitals. This paper describes the layout and functioning of a typical Fangcang shelter hospital, Wuhan Dongxihu Fangcang shelter Hospital, where the author has worked, the working mechanism, experience and effectiveness. A set of patient management protocols was employed for daily practice, which included preset criteria and procedure for admission, examination, medication treatment, referral and discharge. WeChat platform with different groups was used for communication, ward round, test appointments and patient data communication. All these procedures and mechanisms of working enabled the effective management of a larger number of patients with relatively few doctors. As a result, 442 mild or moderate COVID-19 patients in Hall C were successfully managed by a team of 40 doctors, with 246 (56%) patients were cured and discharged from the Fangcang shelter hospital while the remaining 196 (44%) patients were referred on to designated hospitals for further treatment. The reasons for referral included poor resolution in computerized tomography (CT) scan (59%), persistently positive severe acute respiratory syndrome coronavirus 2 by PCR after 9 days of admission (16%), deterioration in CT image (4%), development of dyspnoea (1%) and other (4%) or unclear reasons (16%) due to no record of reasons for referral on the document. There were no deaths and no complaints from the patients in Hall C. In summary, the Fangcang shelter hospital could be run successfully with a set of patient management protocols under conditions of limited facilities and medical staff. It was effective and safe in isolating patients, providing basic medical care and early identification of potential severe cases. This experience may provide a successful example of a working mechanism for the prevention and control of the COVID-19 pandemic worldwide.

Clinical and hematological characteristics of 88 patients with COVID-19.

INTRODUCTION: To retrospectively analyze epidemiological, clinical and hematological characteristics of COVID-19 patients. METHODS: The demographic, symptoms, and physiological parameters of 88 patients were collected and analyzed. The performance of complete blood count (CBC) indexes for monitoring and predicting the severity of COVID-19 in patients was evaluated by analyzing and comparing CBC results among different COVID-19 patient groups. RESULTS: White blood cells (WBCs), the neutrophil percentage (Neu%), absolute neutrophil count (Neu#), and neutrophil-to-lymphocyte ratio (NLR) were significantly higher in the critical group than in the other three groups (P < .05), while the lymphocyte percentage (Lym%), monocyte percentage (Mon%), lymphocyte count (Lym#), and lymphocyte-to-monocyte ratio (LMR) were significantly lower in the critical group than in the other three groups (P < .05). WBCs, the Neu%, Neu#, NLR, and neutrophil-to-monocyte ratio (NMR) were significantly higher in the severe group than in the mild and moderate groups (P < .05), while the Lym% was significantly lower in the severe group than in the mild and moderate groups (P < .05). The Mon%, Lym#, and LMR were significantly lower in the severe group than in the moderate group (P < .05). Using receiver operating characteristic (ROC) curve analysis to differentiate severe and nonsevere patients, the areas under the curve (AUCs) for the NLR, Neu%, and Lym% were 0.733, 0.732, and 0.730, respectively. When differentiating critical patients from noncritical patients, the AUCs for the NLR, Neu%, and Lym% were 0.832, 0.831, and 0.831. CONCLUSIONS: The NLR is valuable for differentiating and predicting patients who will become critical within 4 weeks after the onset of COVID-19.

Higher level of neutrophil-to-lymphocyte is associated with severe COVID-19.

In December 2019, cases of severe coronavirus 2019 (COVID-19) infection rapidly progressed to acute respiratory failure. This study aims to assess the association between the neutrophil-to-lymphocyte ratio (NLR) and the incidence of severe COVID-19 infection. A retrospective cohort study was conducted on 210 patients with COVID-19 infection who were admitted to the Central Hospital of Wuhan from 27 January 2020 to 9 March 2020. Peripheral blood samples were collected and examined for lymphocyte subsets by flow cytometry. Associations between tertiles of NLR and the incidence of severe illness were analysed by logistic regression.Of the 210 patients with COVID-19, 87 were diagnosed as severe cases. The mean NLR of the severe group was higher than that of the mild group (6.6 vs. 3.3, P < 0.001). The highest tertile of NLR (5.1-19.7) exhibited a 5.9-fold (95% CI 1.3-28.5) increased incidence of severity relative to that of the lowest tertile (0.6-2.5) after adjustments for age, diabetes, hypertension and other confounders. The number of T cells significantly decreased in the severe group (0.5 vs. 0.9, P < 0.001). COVID-19 might mainly act on lymphocytes, particularly T lymphocytes. NLR was identified as an early risk factor for severe COVID-19 illness. Patients with increased NLR should be admitted to an isolation ward with respiratory monitoring and supportive care.

Distinctive trajectories of the COVID-19 epidemic by age and gender: A retrospective modeling of the epidemic in South Korea.

OBJECTIVES: Elderly people had suffered a disproportionate burden of COVID-19. We hypothesized that males and females in different age groups might have different epidemic trajectories. METHODS: Using publicly available data from South Korea, daily new COVID-19 cases were assessed using generalized additive models, assuming Poisson and negative binomial distributions. Epidemic dynamics by age and gender groups were explored using interactions between smoothed time terms and age and gender. RESULTS: A negative binomial distribution fitted the daily case counts best. The relationship between the dynamic patterns of daily new cases and age groups was statistically significant (p<0.001), but this was not the case with gender groups. People aged 20-39 years led the epidemic processes in South Korean society with two peaks - one major peak around March 1 and a smaller peak around April 7, 2020. The epidemic process among people aged 60 or above trailed behind that of the younger age group, and with smaller magnitude. After March 15, there was a consistent decline of daily new cases among elderly people, despite large fluctuations in case counts among young adults. CONCLUSIONS: Although young people drove the COVID-19 epidemic throughout society, with multiple rebounds, elderly people could still be protected from infection after the peak of the epidemic.

Plasma albumin levels predict risk for nonsurvivors in critically ill patients with COVID-19.

Aim: We aimed to explore the biomarkers for disease progression or the risk of nonsurvivors. Materials & methods: This study included 134 hospitalized patients with confirmed COVID-19 infection. The outcome of moderate versus severe versus critically ill patients and survivors versus nonsurvivors were compared. Results: An increase in the severity of COVID-19 pneumonia was positively associated with lower levels of platelets and albumin (all p < 0.05). In the critical group, the plasma levels of albumin continued to have a significant association for the risk of nonsurvivors (p < 0.05), even after adjusting for confounding factors. Conclusion: Albumin levels could be used as an independent predictor of the risk of nonsurvivors in critically ill patients with COVID-19.