Crisis communication in the WHO COVID-19 press conferences: A retrospective analysis.

OBJECTIVES: The objective of this study is to investigate, from a longitudinal perspective, how WHO communicated COVID-19 related information to the public through its press conferences during the first two years of the pandemic. METHODS: The transcripts of 195 WHO COVID-19 press conferences held between January 22, 2020 and February 23, 2022 were collected. All transcripts were syntactically parsed to extract highly frequent noun chunks that were potential topics of the press conferences. First-order autoregression models were fit to identify "hot" and "cold" topics. In addition, sentiments and emotions expressed in the transcripts were analyzed using lexicon-based sentiment/emotion analyses. Mann-Kendall tests were performed to capture the possible trends of sentiments and emotions over time. RESULTS: First, eleven "hot" topics were identified. These topics were pertinent to anti-pandemic measures, disease surveillance and development, and vaccine-related issues. Second, no significant trend was captured in sentiments. Last, significant downward trends were found in anticipation, surprise, anger, disgust, and fear. However, no significant trends were found in joy, trust, and sadness. CONCLUSIONS: This retrospective study provided new empirical evidence on how WHO communicated issues pertaining to COVID-19 to the general public through its press conferences. With the help of the study, members of the general public, health organizations, and other stake-holders will be able to better understand the way in which WHO has responded to various critical events during the first two years of the pandemic.

Social isolation and the brain: effects and mechanisms.

An obvious consequence of the coronavirus disease (COVID-19) pandemic is the worldwide reduction in social interaction, which is associated with many adverse effects on health in humans from babies to adults. Although social development under normal or isolated environments has been studied since the 1940s, the mechanism underlying social isolation (SI)-induced brain dysfunction remains poorly understood, possibly due to the complexity of SI in humans and translational gaps in findings from animal models. Herein, we present a systematic review that focused on brain changes at the molecular, cellular, structural and functional levels induced by SI at different ages and in different animal models. SI studies in humans and animal models revealed common socioemotional and cognitive deficits caused by SI in early life and an increased occurrence of depression and anxiety induced by SI during later stages of life. Altered neurotransmission and neural circuitry as well as abnormal development and function of glial cells in specific brain regions may contribute to the abnormal emotions and behaviors induced by SI. We highlight distinct alterations in oligodendrocyte progenitor cell differentiation and oligodendrocyte maturation caused by SI in early life and later stages of life, respectively, which may affect neural circuit formation and function and result in diverse brain dysfunctions. To further bridge animal and human SI studies, we propose alternative animal models with brain structures and complex social behaviors similar to those of humans.

Integration of a hybrid scan approach and in-house high-resolution MS2 spectral database for charactering the multicomponents of Xuebijing Injection

Xuebijing (XBJ) Injection is a reputable patent Chinese medicine widely used to cure sepsis, among the Chinese ″Three Medicines and Three Prescriptions″ solution to fight against COVID-19. We were aimed to achieve the comprehensive multicomponent characterization from the single drugs to traditional Chinese medicine (TCM) formula, by integrating powerful data acquisition and the in-house MS2 spectral database searching. By ultra-high performance liquid chromatography/ion mobility-quadrupole time-of-flight mass spectrometry (UHPLC/IM-QTOF-MS), a hybrid scan approach (HDMSE-HDDDA) was developed, while the HDMSE data for five component drugs and 56 reference compounds were acquired and processed to establish an in-house MS2 spectral database of XBJ. Good resolution of the XBJ components was accomplished on a Zorbax Eclipse Plus C18 column within 24 min, while a fit-for-purpose HDMSE-HDDDA approach was elaborated in two ionization modes for enhanced MS2 data acquisition. XBJ MS2 spectral library was thus established on the UNIFITM platform involving rich structure-related information for the chemicals from five component drugs. We could identify or tentatively characterize 294 components from XBJ, involving 81 flavonoids, 51 terpenoids, 42 phthalides, 40 organic acids, 13 phenylpropanoids, seven phenanthrenequinones, six alkaloids, and 54 others. In contrast to the application of conventional MS1 library, this newly established strategy could demonstrate superiority in the accuracy of identification results and the characterization of isomers, due to the more restricted filtering/matching criteria. Conclusively, the integration of the HDMSE-HDDDA hybrid scan approach and the in-house MS2 spectral database can favor the efficient and more reliable multicomponent characterization from single drugs to the TCM formula.

Optimal diagnostic fever thresholds using non-contact infrared thermometers under COVID-19.

Fever screening is an effective method to detect infectors associated with different variants of coronavirus disease 2019 (COVID-19) based on the fact that most infectors with COVID-19 have fever symptoms. Non-contact infrared thermometers (NCITs) are widely used in fever screening. Nevertheless, authoritative data is lacking in defining "fever" at different body surface sites when using NCITs. The purpose of this study was to determine the optimal diagnostic threshold for fever screening using NICTs at different body surface sites, to improve the accuracy of fever screening and provide theoretical reference for healthcare policy. Participants (n = 1860) who were outpatients or emergency patients at Chengdu Women's and Children's Central Hospital were recruited for this prospective investigation from March 1 to June 30, 2021. NCITs and mercury axillary thermometers were used to measure neck, temple, forehead and wrist temperatures of all participants. Receiver operating characteristic curves were used to reflect the accuracy of NCITs. Linear correlation analysis was used to show the effect of age on body temperature. Multilinear regression analysis was used to explore the association between non-febrile participant's covariates and neck temperature. The mean age of participants was 3.45 ± 2.85 years for children and 28.56 ± 7.25 years for adults. In addition 1,304 (70.1%) participants were children (≤12), and 683 (36.7%) were male. The neck temperature exhibited the highest accuracy among the four sites. Further the optimal fever diagnostic thresholds of NCITs at the four body surface measurement sites were neck (36.75 °C, sensitivity: 0.993, specificity: 0.858); temple (36.55 °C, sensitivity: 0.974, specificity: 0.874); forehead (36.45 °C, sensitivity: 0.961, specificity: 0.813); and wrist (36.15 °C, sensitivity: 0.951, specificity: 0.434). Based on the findings of our study, we recommend 36.15, 36.45, 36.55, and 36.75 °C as the diagnostic thresholds of fever at the wrist, forehead, temple and neck, respectively. Among the four surface sites, neck temperature exhibited the highest accuracy.

Perceived stress and its impact on the health behavior of Chinese residents during the COVID-19 epidemic: An Internet-based cross-sectional survey.

Background and Aims: The novel coronavirus disease 2019 (COVID-19) causes severe respiratory illnesses, following exposure to air-borne droplets or direct contact, posing a great threat to human life. This study aimed to investigate perceived stress and its correlation with the health behaviors of Chinese residents during the COVID-19 epidemic. Methods: An Internet survey was conducted among 2449 residents in 20 provinces of China on residents' perceived stress, perception of COVID-19, and health behaviors. SAS 9.4 was used to analyze the relationship between health behaviors and perceived stress, and logistic regression was used to explore the factors influencing health risk stress. Results: The participants' perceived stress score was 22.25 ± 7.2 (total 56), and the incidence of health risk stress was 39.89% (977/2449). Females, students, and medical staff were at high risk. Health risk stress refers to a level of stress that is hazardous to health (score over 25). Perceived stress increased, while the frequency of health behaviors decreased. Age, perception of susceptibility to COVID-19, life-threatening level of COVID-19, perception of the importance of home isolation, and perception of the difference between a common cold and COVID-19 were positively related to the occurrence of health risk stress. Conclusions: A negative correlation was found between health behaviors and perceived stress. Therefore, it is of great significance to provide psychological interventions for those who are experiencing health risk stress and to promote their health behaviors.

Analysis of the Causes of Solitary Pulmonary Nodule Misdiagnosed as Lung Cancer by Using Artificial Intelligence: A Retrospective Study at a Single Center.

Artificial intelligence (AI) adopting deep learning technology has been widely used in the med-ical imaging domain in recent years. It realized the automatic judgment of benign and malig-nant solitary pulmonary nodules (SPNs) and even replaced the work of doctors to some extent. However, misdiagnoses can occur in certain cases. Only by determining the causes can AI play a larger role. A total of 21 Coronavirus disease 2019 (COVID-19) patients were diagnosed with SPN by CT imaging. Their Clinical data, including general condition, imaging features, AI re-ports, and outcomes were included in this retrospective study. Although they were confirmed COVID-19 by testing reverse transcription-polymerase chain reaction (RT-PCR) with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), their CT imaging data were misjudged by AI to be high-risk nodules for lung cancer. Imaging characteristics included burr sign (76.2%), lobulated sign (61.9%), pleural indentation (42.9%), smooth edges (23.8%), and cavity (14.3%). The accuracy of AI was different from that of radiologists in judging the nature of be-nign SPNs (p < 0.001, κ = 0.036 < 0.4, means the two diagnosis methods poor fit). COVID-19 patients with SPN might have been misdiagnosed using the AI system, suggesting that the AI system needs to be further optimized, especially in the event of a new disease outbreak.

Perceived stress and its impact on the health behavior of Chinese residents during the COVID‐19 epidemic: An Internet‐based cross‐sectional survey

Background and Aims The novel coronavirus disease 2019 (COVID‐19) causes severe respiratory illnesses, following exposure to air‐borne droplets or direct contact, posing a great threat to human life. This study aimed to investigate perceived stress and its correlation with the health behaviors of Chinese residents during the COVID‐19 epidemic. Methods An Internet survey was conducted among 2449 residents in 20 provinces of China on residents' perceived stress, perception of COVID‐19, and health behaviors. SAS 9.4 was used to analyze the relationship between health behaviors and perceived stress, and logistic regression was used to explore the factors influencing health risk stress. Results The participants' perceived stress score was 22.25 ± 7.2 (total 56), and the incidence of health risk stress was 39.89% (977/2449). Females, students, and medical staff were at high risk. Health risk stress refers to a level of stress that is hazardous to health (score over 25). Perceived stress increased, while the frequency of health behaviors decreased. Age, perception of susceptibility to COVID‐19, life‐threatening level of COVID‐19, perception of the importance of home isolation, and perception of the difference between a common cold and COVID‐19 were positively related to the occurrence of health risk stress. Conclusions A negative correlation was found between health behaviors and perceived stress. Therefore, it is of great significance to provide psychological interventions for those who are experiencing health risk stress and to promote their health behaviors.

[Analysis of the Characteristics of the Outcomes of Job-Transfer Subspecialty Training Program in Pediatrics in Sichuan].

Objective: To discuss the characteristics of physician trainee outcomes after completion of the job-transfer subspecialty training in pediatrics, a program designed to increase the number of pediatricians, in Sichuan Province and to provide countermeasures for alleviating the shortage of pediatricians. Methods: We collected with questionnaire surveys information on changes in the workload and salaries experienced by physicians who completed the job-transfer subspecialty training program in pediatrics between February 2017 and May 2020 in Sichuan Province. Then, we compared the characteristics of physicians who successful became pediatricians and those who did no. Results: A total of 208 physicians completed the job-transfer subspecialty training program in pediatrics. Among them, 178, accounting for 85.6%, completed the questionnaire survey, and 120, accounting for 67.4%, had a background in other subspecialties than pediatrics. The majority (>90%) of physicians who participated in the training program came from secondary or lower levels of hospitals from the cities and prefectures all over Sichuan Province. In this study, we found that the rate of successful job transfer from being a physician to being a pediatrician in Sichuan Province in the past four years was 85.0% (102/120), with the year-by-year results being 88.2% (15/17) in 2017, 72.7% (16/22) in 2018, 86.7% (39/45) in 2019, and 94.% (32/34) in 2020. There was no significant difference between physicians who had successful job transfer and became pediatricians and those who failed to do so in terms of gender, age, hospital level, specialization prior to the job transfer, whether or not the hospital had a pediatrics department, amount of support for the pediatrics department, whether or not the physician was working at a new hospital after the job transfer, salaries, and changes of responsibilities during COVID-19 (all P>0.05). There was significant difference in the change of workload after completion of the training program between physicians who had successful job transfer and became pediatricians and those who failed to do so ( χ 2=9.037, P=0.003), and 78.4% of the trainees stated that their workload had increased after the job transfer. There was a moderate correlation between successful job transfer and changes in workload after the transfer (|Phi[ψ] |=0.729). Conclusions: The policy of government-supported job-transfer subspecialty training in pediatrics has played an active and important role in the swift resolution of the shortage of pediatricians. However, finding the root cause of and addressing the problem of the overwhelming workload of pediatricians remain challenging issues to be resolved.

Serum surfactant protein D in COVID-19 is elevated and correlated with disease severity.

BACKGROUND: The serum surfactant protein D (SP-D) level is suggested to be a useful biomarker for acute lung injuries and acute respiratory distress syndrome. Whether the serum SP-D level could identify the severity of coronavirus disease 2019 (COVID-19) in the early stage has not been elucidated. METHODS: We performed an observational study on 39 laboratory-confirmed COVID-19 patients from The Fourth People's Hospital of Yiyang, Hunan, China. Receiver operating characteristic (ROC) curve analysis, correlation analysis, and multivariate logistic regression model analysis were performed. RESULTS: In the acute phase, the serum levels of SP-D were elevated significantly in severe COVID-19 patients than in mild cases (mean value ± standard deviation (SD), 449.7 ± 125.8 vs 245.9 ± 90.0 ng/mL, P<0.001), while the serum levels of SP-D in the recovery period were decreased dramatically than that in the acute phase (mean value ± SD, 129.5 ± 51.7 vs 292.9 ± 130.7 ng/ml, P<0.001), and so were for the stratified patients. The chest CT imaging scores were considerably higher in the severe group compared with those in the mild group (median value, 10.0 vs 9.0, P = 0.011), while markedly lower in the recovery period than those in the acute phase (median value, 2.0 vs 9.0, P<0.001), and so were for the stratified patients. ROC curve analysis revealed that areas under the curve of lymphocyte counts (LYM), C-reaction protein (CRP), erythrocyte sedimentation rate (ESR), interleukin-6 (IL-6), and SP-D for severe COVID-19 were 0.719, 0.833, 0.817, 0.837, and 0.922, respectively. Correlation analysis showed that the SP-D levels were negatively correlated with LYM (r = - 0.320, P = 0.047), while positively correlated with CRP (r = 0.658, P<0.001), IL-6 (r = 0.471, P = 0.002), the duration of nucleic acid of throat swab turning negative (r = 0.668, P<0.001), chest CT imaging score on admission (r = 0.695, P<0.001) and length of stay (r = 0.420, P = 0.008). Multivariate logistic regression model analysis showed that age (P = 0.041, OR = 1.093) and SP-D (P = 0.008, OR = 1.018) were risk factors for severe COVID-19. CONCLUSIONS: Elevated serum SP-D level was a potential biomarker for the severity of COVID-19; this may be useful in identifying patients whose condition worsens at an early stage.

Correlation of autopsy pathological findings and imaging features from 9 fatal cases of COVID-19 pneumonia.

ABSTRACT: We aimed to investigate the relationship of radiological features and the corresponding pulmonary pathology of patients with Coronavirus Disease (COVID-19) pneumonia.In this multicenter study, serial chest CT and radiographic images from 9 patients (51-85 years old, 56% male) were reviewed and analyzed. Postmortem lungs were sampled and studied from these autopsies, with a special focus on several corresponding sites based on imaging features.The predominant pattern of pulmonary injury in these 9 cases was diffuse alveolar damage (DAD) and interstitial inflammation. Moreover, acute fibrinous exudates, organization, inflammatory cell infiltration, hyaline membranes, pulmonary edema, pneumocyte hyperplasia, and fibrosis were all observed. The histopathology features varied according to the site and severity of each lesion. In most of the 9 cases, opacities started from a subpleural area and peripheral structures were more severely damaged based on gross views and pathological examinations. Fibrosis could occur in early stages of infection and this was supported by radiological and pathological findings. The radiological features of COVID-19 pneumonia, at the critically ill stage, were diffuse ground-glass opacities with consolidation, interstitial thickening, and fibrous stripes, which was based in the fibrous tissue proliferation in the alveolar and interlobular septa, and filled alveoli with organizing exudation. Fungal and bacterial co-infections were also observed in 6 cases.Typical imaging features can be correlated with underlying pathological findings. Combining assessments of imaging features with pathological findings therefore can enhance our understanding of the histopathological mechanism of COVID-19 pneumonia, and facilitate early radiological diagnosis and prognosis estimation of COVID-19 pneumonia, which has important implications for the development of clinical targeted treatments and research related to COVID-19 pneumonia.

Very fast-progressive pulmonary opacities and high inflammatory factors levels are associated with decease of young Coronavirus Disease 2019 patients.

ABSTRACT: We aimed to retrospectively analyze the clinical and computed tomography (CT) characteristics of young adults with Coronavirus Disease 2019 (COVID-19) pneumonia who were critically ill and to identify the features associated with non-survival.Thirty-eight COVID-19 patients (20-45 years old, 28 men) who had been admitted in the intensive care unit were included, including 18 non-survivors (group 1) and 20 survivors (group 2). Their clinical characteristics and initial and follow-up CT were compared between groups.In group 1, the days from illness onset to death were 21.1 ±â€Š10.3 days; 7 patients had underlying comorbidities. At admission, group 1 exhibited higher serum ferritin and interleukin-6 (IL-6) levels (1142.6 ±â€Š242.4 mg/L and 33.8 ±â€Š18.6 mmol/L) compared with group 2 (728.3 ±â€Š150.9 mg/L and 15.2 ±â€Š6.9 mmol/L, P < .01). Group 1 exhibited more rapidly progressive opacities and consolidation in follow-up CT (16.7 ±â€Š3.1 scores, 15.7 ±â€Š3.1 segments) than group 2 (11.4 ±â€Š4.0 scores, 10.3 ±â€Š4.6 segments, P < .01). The oxygenation index was lower (87.6 ±â€Š19.2 vs 99.1 ±â€Š20.4 mm Hg) and the mechanical ventilation duration was longer (14.7 ±â€Š6.9 vs 9.7 ±â€Š3.7 days) in group 1 compare with group 2 (P < .01).Compared with the survivors, the non-survivors showed higher serum ferritin and IL-6 levels, more rapidly progressive opacities in CT, lower oxygenation index, and longer mechanical ventilation durations. Special attention to ferritin/IL-6 levels and oxygenation index as well as early CT application and timely reexaminations are important to identify the individuals who may be at risk of becoming critically ill.

Elevated Serum Pentraxin-3 Levels is Positively Correlated to Disease Severity and Coagulopathy in COVID-19 Patients.

BACKGROUND: Coronavirus disease 2019 (COVID-19) is highly contagious and deadly and is associated with coagulopathy. Pentraxin-3(PTX3) participates in innate resistance to infections and plays a role in thrombogenesis. PURPOSE: The present study aimed to investigate the role of PTX3 in coagulopathy in patients with COVID-19. METHODS: A retrospective study, including thirty-nine COVID-19 patients, enrolled in Hunan, China, were performed. The patients were classified into the D-dimer_L (D-dimer <1mg/L) and D-dimer_H (D-dimer≥1mg/L) groups basing on the plasma D-dimer levels on admission. Serum PTX3 levels were detected by enzyme-linked immunosorbent assays and compared between those two groups, then receiver operating characteristic (ROC) curve analysis, correlation analysis, and linear regression models were performed to analyze the association between PTX3 and D-dimer. RESULTS: Our results showed that serum PTX3 levels (median values, 10.21 vs. 3.36, P<0.001), computerized chest tomography (C.T.) scores (median values, 10.0 vs. 9.0, P<0.05), and length of stay (LOS) (mean values, 16.0 vs. 10.7, P=0.001) in the D-dimer_H group were significantly higher than that in D-dimer_L group. ROC curve analysis revealed that the AUC of white blood corpuscle counts, C-reaction protein, erythrocyte sedimentation rate, and PTX3 for COVID-19 were 0.685, 0.863, 0.846, and 0.985, respectively. Correlation analysis showed that there was a positive relationship between PTX3 and D-dimer (r=0.721, P<0.001), chest CT imaging score (r=0.418, P=0.008), and LOS (r=0.486, P=0.002). Multiple linear regression analysis showed that the coefficient of determination was 0.657 (P < 0.001). CONCLUSION: Serum level of PTX3 was positively correlated with disease severity and coagulopathy. Detection of serum PTX3 level could help identify severer patients on admission and may be a potential therapeutic target for coagulopathy in patients with COVID-19.

Obesity predisposes to the risk of higher mortality in young COVID-19 patients. (Special issue on new coronavirus (2019-nCoV or SARS-CoV-2) and the outbreak of the respiratory illness (COVID-19): part-VII.)

Although emerging data demonstrated mortality of young COVID-19 patients, no data have reported the risk factors of mortality for these young patients, and whether obesity is a risk for young COVID-19 patients remains unknown. We conducted a retrospective study including 13 young patients who died of COVID-19 and 40 matched survivors. Logistic regression was employed to characterize the risk factors of mortality in young obese COVID-19 patients. Most of the young deceased COVID-19 patients were mild cases at the time of admission, but the disease progressed rapidly featured by a higher severity of patchy shadows (100.00% vs 48.70%;P = .006), pleural thickening (61.50% vs 12.80%;P = .012), and mild pericardial effusion (76.90% vs 0.00%;P < .001). Most importantly, the deceased patients manifested higher body mass index (odds ratio [OR] = 1.354;95% confidence interval [CI] = 1.075-1.704;P = .010), inflammation-related index C-reactive protein (OR = 1.014;95% CI = 1.003-1.025;P = .014), cardiac injury biomarker hs-cTnI (OR = 1.420;95% CI = 1.112-1.814;P = .005), and increased coagulation activity biomarker D-dimer (OR = 418.7;P = .047), as compared with that of survivors. Our data support that obesity could be a risk factor associated with high mortality in young COVID-19 patients, whereas aggravated inflammatory response, enhanced cardiac injury, and increased coagulation activity are likely to be the mechanisms contributing to the high mortality.

Clinical and CT characteristics of healthcare workers with COVID-19: A single-centered, retrospective study.

A large number of healthcare workers have been infected with coronavirus disease-2019 (COVID-19). We aimed to investigate their clinical and chest computed tomography (CT) characteristics.The clinical, laboratory test and CT features of 43 medical and hospital staff with confirmed COVID-19 (MP group, 26-70 years old) were retrospectively analyzed, and compared to 43 non-medical related patients (non-MP group, 26-71 years old). Follow-up CT characteristics were analyzed to assess the disease progression in the period of hospitalization.At admission, the main complaints of the MP group, including fever (81.4%), fatigue (48.8%) and cough (41.9%), were similar to the non-MP group. The C-reactive protein, erythrocyte sedimentation rate, and lactate dehydrogenase levels were higher in the non-MP group than the MP group (17.5 ±â€Š22.4 mg/L, 20.2 ±â€Š23.4 mm/H and 219 ±â€Š66U/L, respectively, P < .05). Ground-grass opacities, consolidation, interstitial thickening were common CT features of both groups. The severity of opacities on initial CT were less in the MP group (5.3 ±â€Š3.9 scores) than in the non-MP group (9.1 ±â€Š4.8 scores, P < .05). Before regular treatments, the sum score of the opacities showed weak to moderate correlations with duration, C-reactive protein, erythrocyte sedimentation rate and lactate dehydrogenase levels (R ranged from 0.341-0.651, P < .05). In the study time window, the duration from illness onset to when the most obvious pulmonary opacities were observed, according to CT findings, were similar in the MP group (13.3 ±â€Š6.6 days) and the non-MP group (13.8 ±â€Š5.1 days, P = .69). Mild to moderate anxiety and depression were observed in both groups.Despite greater knowledge of how to protect themselves than the general population, healthcare workers are also susceptible to COVID-19 infection. Occupational exposure is a very important factor. Healthcare workers have a higher vigilance about the infection in the early stage of the disease.

Clinical and Imaging Features of COVID-19 in a Neonate.

We report the clinical history, laboratory findings, and imaging features of coronavirus disease 2019 (COVID-19) in a neonate whose mother was also a patient. The newborn was the youngest patient with COVID-19 in the world at the time he was diagnosed. This case has brought more attention and understanding to the epidemic and mode of transmission of the disease.

Elevated Expression of Serum Endothelial Cell Adhesion Molecules in COVID-19 Patients.

In a retrospective study of 39 COVID-19 patients and 32 control participants in China, we collected clinical data and examined the expression of endothelial cell adhesion molecules by enzyme-linked immunosorbent assays. Serum levels of fractalkine, vascular cell adhesion molecule-1 (VCAM-1), intercellular adhesion molecule 1 (ICAM-1), and vascular adhesion protein-1 (VAP-1) were elevated in patients with mild disease, dramatically elevated in severe cases, and decreased in the convalescence phase. We conclude the increased expression of endothelial cell adhesion molecules is related to COVID-19 disease severity and may contribute to coagulation dysfunction.

Should patients stop their radiotherapy or chemotherapy during the COVID-19 pandemic.

In the previous stage, there were too many patients with Corona virus disease 2019 (COVID-19) in Wuhan. Ordinary people, patients, even doctors, had a great sense of desperate. On the one hand, almost all doctors participated in the treatment of patients of COVID-19. On the other hand, the government restricted residents to go out, and the sick people were also afraid of being infected with COVID-19 when seeking medical treatment. Whether cancer patients seek medical treatment or not has become a contradiction for a long time. Our Viewpoint paper is to provide a positive signal to doctors and patients that patients with in the middle or advanced stage of cancer can receive radiotherapy and/or chemotherapy normally under protective measures.

Obesity predisposes to the risk of higher mortality in young COVID-19 patients

BACKGROUND: Although emerging data demonstrated mortality of young COVID-19 patients, but no data reported the risk factors of mortality for those young patients, and whether obesity is a risk for young COVID-19 patients remains unknown. METHODS: We conducted a retrospective study including 13 young patients died of COVID-19 and 40 matched survivors. Logistic regression was employed to characterize the risk factors of mortality in young obese COVID-19 patients. RESULTS: Most of the young deceased COVID-19 patients were mild cases at the time of admission, but the disease progressed rapidly featured by the higher severity of Patchy shadows (100.00% vs. 48.70%, P = 0.006), pleural thickening (61.50% vs. 12.80%, P = 0.012), mild pericardial effusion (76.90% vs. 0.00%, P < 0.001). Most importantly, the deceased patients manifested higher BMI (OR = 1.354, 95% CI = 1.075-1.704, P = 0.010), inflammatory-related index CRP (OR = 1.014, 95% CI = 1.003-1.025, P = 0.014), cardiac injury biomarker hs-cTnI (OR = 1.420, 95% CI = 1.112-1.814, P = 0.005), and increased coagulation activity biomarker D-Dimer (OR = 418.7, P = 0.047), as compared to that of survivors. CONCLUSIONS: Our data support that obesity could be a risk factor associated with high mortality in young COVID-19 patients, while aggravated inflammatory response, enhanced cardiac injury and increased coagulation activity are likely to be the mechanisms contributing to the high mortality. This article is protected by copyright. All rights reserved.

Clinical and High-Resolution CT Features of the COVID-19 Infection: Comparison of the Initial and Follow-up Changes.

OBJECTIVES: In late December 2019, an outbreak of coronavirus disease (COVID-19) in Wuhan, China was caused by a novel coronavirus, newly named severe acute respiratory syndrome coronavirus 2. We aimed to quantify the severity of COVID-19 infection on high-resolution chest computed tomography (CT) and to determine its relationship with clinical parameters. MATERIALS AND METHODS: From January 11, 2020, to February 5, 2020, the clinical, laboratory, and high-resolution CT features of 42 patients (26-75 years, 25 males) with COVID-19 were analyzed. The initial and follow-up CT, obtained a mean of 4.5 days and 11.6 days from the illness onset were retrospectively assessed for the severity and progression of pneumonia. Correlations among clinical parameters, initial CT features, and progression of opacifications were evaluated with Spearman correlation and linear regression analysis. RESULTS: Thirty-five patients (83%) exhibited a progressive process according to CT features during the early stage from onset. Follow-up CT findings showed progressive opacifications, consolidation, interstitial thickening, fibrous strips, and air bronchograms, compared with initial CT (all P < 0.05). Before regular treatments, there was a moderate correlation between the days from onset and sum score of opacifications (R = 0.68, P < 0.01). The C-reactive protein, erythrocyte sedimentation rate, and lactate dehydrogenase showed significantly positive correlation with the severity of pneumonia assessed on initial CT (Rrange, 0.36-0.75; P < 0.05). The highest temperature and the severity of opacifications assessed on initial CT were significantly related to the progression of opacifications on follow-up CT (P = 0.001-0.04). CONCLUSIONS: Patients with the COVID-19 infection usually presented with typical ground glass opacities and other CT features, which showed significant correlations with some clinical and laboratory measurements. Follow-up CT images often demonstrated progressions during the early stage from illness onset.