A feature extraction and deep learning approach for network traffic volume prediction considering detector reliability

Accurate traffic volume prediction plays a crucial role in urban traffic control by relieving congestion through improved regulation of traffic volume. Network‐level traffic volume prediction and detector failure have rarely been considered in the literature. This paper proposes a framework based on long short‐term memory and the multilayer perceptron that can predict network‐level traffic volumes even with detector failure. A profile model learns the profile of the detector's signature (traffic pattern). Detectors with similar profiles are considered to have similar traffic patterns and are grouped into a cluster. Failed detectors can obtain reference information from similar detectors in the same cluster without additional information. A predictive model is developed for each cluster. The proposed method is validated using Japan Road Traffic Information Center data for three cities. The computational results indicate that the proposed method performs well both on typical days and atypical days (the COVID‐19 lockdown period and the 2021 Tokyo Olympics). Further, it considers detector reliability: the increase in mean absolute error is less than 1 veh/5 min when the probability of detector failure increases to 20%. [ FROM AUTHOR] Copyright of Computer-Aided Civil & Infrastructure Engineering is the property of John Wiley & Sons, Inc. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

Inpatient antibacterial use trends and patterns, China, 2013-2021.

Objective: To analyse trends and patterns in inpatient antibacterial use in China's tertiary and secondary hospitals between 2013 and 2021. Methods: The analysis involved quarterly data from hospitals covered by China's Center for Antibacterial Surveillance. We obtained information on hospital characteristics (e.g. province, a de-identified hospital code, hospital level and inpatient days) and antibacterial characteristics (e.g. generic name, drug classification, dosage, administration route and usage volume). We quantified antibacterial use as the number of daily defined doses per 100 patient-days. The analysis took into account the World Health Organization's (WHO's) Access, Watch, Reserve classification of antibiotics. Findings: Between 2013 and 2021, overall antibacterial use in inpatients decreased significantly from 48.8 to 38.0 daily defined doses per 100 patient-days (P < 0.001). In 2021, the variation between provinces was almost twofold: 29.1 daily defined doses per 100 patient-days in Qinghai versus 55.3 in Tibet. The most-used antibacterials in both tertiary and secondary hospitals throughout the study period were third-generation cephalosporins, which comprised around one third of total antibacterial use. Carbapenems entered the list of most-used antibacterial classifications in 2015. The most frequently used antibacterials in WHO's classification belonged to the Watch group: usage increased significantly from 61.3% (29.9/48.8) in 2013 to 64.1% (24.4/38.0) in 2021 (P < 0.001). Conclusion: Antibacterial use in inpatients decreased significantly during the study period. However, the rising proportion of last-resort antibacterials used is concerning, as is the large gap between the proportion of antibacterials used belonging to the Access group and WHO's global target of no less than 60%.

Body mass index combined with (waist + hip)/height accurately screened for normal-weight obesity in Chinese young adults.

OBJECTIVES: Only a few studies have explored the prevalence of normal-weight obesity in young adults or the development of a simple evaluation index for body fat percentage. Therefore, this study aimed to examine the prevalence of normal-weight obesity in young Chinese adults and use anthropometric measurements to develop an evaluation index. METHODS: In total, 1322 college students participated in the study and were divided into the normal-weight lean, normal-weight obese, and overweight and obese groups based on their body mass index and body fat percentage. The differences in body composition, circumference, and circumference ratio among these three groups were examined. RESULTS: When exploring the correlation between the circumference ratio and body fat percentage, the circumference ratio was suitable for early screening of abnormal body fat percentage, and the cutoff value was calculated. Body composition and circumference were significantly different among the three groups: (waist + hip)-to-height, hip-to-height, and waist-to-height ratios were strongly correlated with body fat percentage. CONCLUSIONS: (Waist + hip)-to-height ratio can be used as a simple evaluation index for indicating abnormal body fat percentage when higher than 1.032 in male and 1.047 in female individuals. Downregulating the normal upper limit for body mass index to 24.4 and 23.8 kg/m2 in male and female individuals, respectively, is recommended. Body mass index combined with (waist + hip)-to-height ratio allowed for more accurate screening of normal-weight obesity as an easy and cost-free evaluation measure for abnormal body fat percentage.

The impact of the COVID-19 pandemic on a surgical PICU in China that did not admit COVID-19 patients.

Background: The unprecedented COVID-19 pandemic has been spreading for a long time. However, it is unclear whether the pandemic influenced admission in a surgical pediatric intensive care unit (PICU) that never received COVID-19 patients during the early outbreak in China. Methods: A retrospective study was conducted in a surgical PICU in a tertiary hospital in Chengdu, China. We sought to describe the trend in admission numbers from January 2018 to April 2021. We explored the impact of the COVID-19 outbreak on PICU admission characteristics by including all patients younger than 18 years admitted to the PICU between January 23 and April 8 in 2020 and those admitted in the same time periods in prepandemic years (2018 and 2019) and in 2021. Results: The percentage of patients admitted to the PICU from the Chengdu region increased from 34.2 percent in 2019 to 40.4 percent in 2020, whereas that from other provinces decreased from 11.7 percent in 2019 to 5.8 percent in 2020 (P = 0.012). The median length of stay (LOS) in the PICU was significantly longer in the 2020 cohort (4.0 days) than in the 2019 cohort (2.0 days) (P < 0.001); the median hospital LOS was also significantly longer in the former (12.0 days) than in the latter (8.0 days) (P < 0.001). Hospital outcomes (P = 0.005) and primary diagnosis distributions (P = 0.025) between the 2020 and 2019 cohorts were both statistically significant. Conclusions: In a surgical PICU that never received COVID-19 patients, the onset of the 2020 major outbreak was accompanied by changes in the composition of the regional sources of patients, longer PICU and hospital stays, increased proportions of unauthorized discharges, and changes in the distribution of primary diseases for admission. These findings have yet to be strengthened by additional studies involving similar healthcare backgrounds.

Generation of microbial protein feed (MPF) from waste and its application in aquaculture in China

Aquaculture is regarded as one of the fastest methods for preparing food and may be relied upon more and more in the future. Production can be seeded from fish caught in the wild and can be maintained with imported fish food however, aquaculture output and quality is limited by cost and resources, and there is an incentive to make it more environmentally sustainable. If these goals can be achieved, we will produce better quality fish and in higher volumes. Microbial protein feed (MPF) offers a sustainable feedstuff solution for the aquaculture industry in China, with the net benefits of taking less time to prepare, using less water and land, being recyclable and also reducing carbon emissions. MPF provides stable and high quality proteins and is produced through the fermentation of microorganisms by utilizing agricultural and industrial waste as substrates and been extensively used in fish and shrimp production in China. This review describes the microorganisms, raw materials, fermentation processes and nutritional components used in MPF production in aquaculture. We shall discuss also MPF large-scale production processes in detail and then finally, what opportunities and challenges are faced by MPF in Chinese aquaculture in the context of "double carbon” targets and Covid-19. High-efficiency biosynthesis technology using mono-carbon gases to produce protein will become an important field in the future, as it shall facilitate sustainable and healthy feedstocks for the aquaculture industry, and allow China to achieve the goal of lower carbon emissions.

The Role of the Vascular Niche in Organ Fibrosis and COVID-19-Related Organ Damage and the Countermeasures adopted by Chinese and Western Medicine

The vascular niche is a microenvironment located around capillaries and is mainly composed of endothelial cells, pericytes, macrophages, lymphocytes, mesenchymal stem cells, and hematopoietic stem cells. Studies have found that the vascular niche not only functions to regulate cell growth and differentiation in normal tissues, but also has an important role in regulating fibrosis in various organs and tissues in disease states. Coronavirus disease 2019 (COVID-19) is a systemic disease that broke out in 2019, caused by SARS-CoV-2 infection, which results in pulmonary inflammation, systemic multi-organ damage, and an inflammatory cytokine storm. Recently, the vascular niche has been found to play a role in COVID-19-related multi-organ damage. In this review, we introduce the important role of the vascular niche in organ fibrosis and COVID-19-related organ damage, summarize some of the cellular signaling pathways in the vascular niche that promote fibrosis, and discuss the treatment of organ fibrosis in Traditional Chinese medicine and Western medicine.

Exploring Deeper Causes Linking Adolescents' Mental Disorders to Mobile Phone Use Problems: Grounded Theory Approach.

BACKGROUND: Evidence from a variety of studies link mobile phone use with an increase in mental health problems, with the situation being particularly prevalent in China and exacerbated by the COVID-19 quarantine. OBJECTIVE: This study aims to reveal underlying connections between mobile phone use and mental disorders of adolescents, and to develop a theory to help parents and counseling psychologists better understand and intervene in future cases. METHODS: A total of 37 teenagers having both mental health and mobile phone use problems, along with their parents, were included for individual interviews. These interviews were transcribed, coded, and analyzed using qualitative methods of grounded theory. RESULTS: The grades-ranking-first mentality is one of the main factors causing problems such as defective family bonding and peer influences, pushing teenagers with mental disorders to seek comfort in the virtual world through their cellphones. CONCLUSIONS: The idea proposed in this study is not only inspiring for psychological counseling and therapy on adolescents with mental problems but also beneficial for school educators and parents to better understand the adolescents. The findings of the study are also particularly noteworthy in the postpandemic age, where parents whose work locations and schedules are substantially affected due to any emergencies should try to build a relaxing and cozy atmosphere at home to avoid possible conflicts with adolescents.

Increased levels of lactate dehydrogenase and hypertension are associated with severe illness of COVID-19.

BACKGROUND: Coronavirus disease 2019 (COVID-19) is amid an ongoing pandemic. It has been shown that patients with cardiovascular comorbidities are at higher risk of severe illness of COVID-19. AIM: To find out the relationship between cardiovascular comorbidities and severe illness of COVID-19. METHODS: The clinical data of 140 COVID-19 patients treated from January 22, 2020 to March 3, 2020 at our hospital were retrospectively collected. The clinical characteristics were compared between patients with mild illness and those with severe illness. RESULTS: There were 75 male patients and 65 female patients (53.6% vs 46.4%). The mean age was 45.4 ± 14.6 years (range, 2-85 years). Most of the patients had mild illness (n = 114, 81.4%) and 26 patients had severe illness (18.6%). The most common symptom was fever (n = 110, 78.6%), followed by cough (n = 82, 58.6%) and expectoration (n = 51, 36.4%). Eight patients were asymptomatic but were positive for severe acute respiratory syndrome coronavirus 2 RNA. Patients with severe illness were significantly more likely to be hypertensive than those with mild illness [(10/26, 38.4%) vs (22/114, 19.3%), P = 0.036]. The levels of lactate dehydrogenase were significantly higher in the severe illness group than in the mild illness group (299.35 ± 68.82 vs 202.94 ± 63.87, P < 0.001). No patient died in either the severe illness or the mild illness group. CONCLUSION: Hypertension and elevated levels of lactate dehydrogenase may be associated with severe illness of COVID-19.

Severe Adaptive Immune Suppression May Be Why Patients With Severe COVID-19 Cannot Be Discharged From the ICU Even After Negative Viral Tests.

During the COVID-19 pandemic, a phenomenon emerged in which some patients with severe disease were critically ill and could not be discharged from the ICU even though they exhibited negative viral tests. To explore the underlying mechanism, we collected blood samples from these patients and analyzed the gene expression profiles of peripheral immune cells. We found that all enrolled patients, regardless of changes in genes related to different symptoms and inflammatory responses, showed universally and severely decreased expression of adaptive immunity-related genes, especially those related to T/B cell arms and HLA molecules, and that these patients exhibited long-term secondary infections. In addition, no significant change was found in the expression of classic immunosuppression molecules including PD-1, PD-L1, and CTLA-4, suggesting that the adaptive immune suppression may not be due to the change of these genes. According to the published literatures and our data, this adaptive immunosuppression is likely to be caused by the "dysregulated host response" to severe infection, similar to the immunosuppression that exists in other severely infected patients with sepsis.

Association between glucocorticoids treatment and viral clearance delay in patients with COVID-19: a systematic review and meta-analysis.

BACKGROUND: Evidence of glucocorticoids on viral clearance delay of COVID-19 patients is not clear. METHODS: In this systematic review and meta-analysis, we searched for studies on Medline, Embase, EBSCO, ScienceDirect, Web of Science, Cochrane Library, and ClinicalTrials.gov from 2019 to April 20, 2021. We mainly pooled the risk ratios (RRs) and mean difference (MD) for viral clearance delay and did subgroup analyses by the severity of illness and doses of glucocorticoids. RESULTS: 38 studies with a total of 9572 patients were identified. Glucocorticoids treatment was associated with delayed viral clearance in COVID-19 patients (adjusted RR 1.52, 95% CI 1.29 to 1.80, I2 = 52%), based on moderate-quality evidence. In subgroup analyses, risk of viral clearance delay was significant both for COVID-19 patients being mild or moderate ill (adjusted RR 1.86, 95% CI 1.35 to 2.57, I2 = 48%), and for patients of being severe or critical ill (adjusted RR 1.59, 95% CI 1.23 to 2.07, I2 = 0%); however, this risk significantly increased for patients taking high doses (unadjusted RR 1.85, 95% CI 1.08 to 3.18; MD 7.19, 95% CI 2.78 to 11.61) or medium doses (adjusted RR 1.86, 95% CI 0.96 to 3.62, I2 = 45%; MD 3.98, 95% CI 3.07 to 4.88, I2 = 4%), rather those taking low doses (adjusted RR 1.38, 95% CI 0.94 to 2.02, I2 = 59%; MD 1.46, 95% CI -0.79 to 3.70, I2 = 82%). CONCLUSIONS: Glucocorticoids treatment delayed viral clearance in COVID-19 patients of taking high doses or medium doses, rather in those of taking low doses of glucocorticoids.

Effect of the COVID-19 lockdown period on the physical condition, living habits, and physical activity of citizens in Beijing, China.

[Purpose] We aimed to explore the effects of the COVID-19-induced lockdown in Beijing. [Participants and Methods] We distributed a web-based questionnaire survey among 1,029 Beijing citizens to inquire about their physical condition, living habits, and physical activity before and during home isolation. [Results] In the context of forced home isolation due to COVID-19, both males and females reported reductions in daily steps and weekly exercise time and significant increases in daily physical activity time and daily sitting time. The proportions of smokers, patients with metabolic syndrome, and patients with internal diseases were higher in males than in females; females had lower daily step counts and spent more time sitting. [Conclusion] The COVID-19 lockdown affected the physical condition, living habits, and physical activity of both males and females; females were more affected than males. People should be cognizant of the various effects of COVID-19 lockdowns on the body. We recommend a reasonable diet and appropriate home exercise. There is a need to develop training methods and evaluation tools for home exercises in COVID-19 lockdowns.

Psychological Interventions for Healthcare Providers With PTSD in Life-Threatening Pandemic: Systematic Review and Meta-Analysis.

Objective: This study aims to evaluate the effect of psychological interventions on healthcare providers (HCP) with post-traumatic stress disorder (PTSD) due to their necessary exposure in life-threatening pandemic. Methods: We performed a systematic research on Medline, Embase, Cochrane Central, PsycInfo, Cochrane Central Register of Controlled Trials, Clinicaltrials.gov, ProQuest PTSD Pubs ProQuest Dissertations & Theses Global, and other gray databases by January 2021. Randomized controlled trials involving therapeutic interventions for HCP with PTSD were included. The primary outcome was PTSD symptom severity. Summary standardized mean differences (SMDs) and 95% confidence intervals were estimated using inverse variance meta-analysis with fixed effects. Risks of bias were assessed using Cochrane methods. Results: Among 773 citations, this review includes six studies, randomizing 810 participants. A meta-analysis of the effect of interventions compared to placebo showed a significant reduction of PTSD symptom severity: Cognitive Behavioral Therapy-Brief (CBT-B) (M = 27.80, 95% CI: 17.12, 38.48), Cognitive Behavioral Therapy-Long (CBT-L) (M = 26.50, 95% CI: 15.75, 37.25), and Mindfulness-Based Stretching and Deep Breathing Exercise (MBX) (M = 17.2, 95% CI: 6.57, 27.83). CBT-L and CBT-B also showed a significant effect on depression severity. Conclusions: The most effective and feasible treatment option for HCP with PTSD is still unclear, but CBT and MBX have displayed the most significant effects based on current limited evidence. Future research in this area-preferably large robust randomized controlled trials-is much needed.

Comparison of Associations Between Glucocorticoids Treatment and Mortality in COVID-19 Patients and SARS Patients: A Systematic Review and Meta-Analysis.

BACKGROUND: The response to glucocorticoids treatment may be different between coronavirus disease 2019 (Covid-19) and severe acute respiratory syndrome (SARS). METHODS: In this systematic review and meta-analysis, we searched studies on Medline, Embase, EBSCO, ScienceDirect, Web of Science, Cochrane Library, ClinicalTrials.gov, International Clinical Trials Registry Platform from 2002 to October 7, 2020. We used fixed-effects and random-effects models to compute the risk ratio of death in the group receiving glucocorticoids treatment and the control group for COVID-19 and SARS, respectively. RESULTS: Ten trials and 71 observational studies, with a total of 45,935 patients, were identified. Glucocorticoids treatment was associated with decreased all-cause mortality both in COVID-19 (risk ratio, 0.88; 95% confidence interval, 0.82-0.94; I2 = 26%) and SARS (0.48; 0.29-0.79; 10%), based on high-quality evidence, as well as decreased all-cause mortality-including composite outcome of COVID-19 (0.89; 0.82-0.98; 0%). In subgroup analyses, all-cause mortality was significantly lower among COVID-19 patients being accompanied by severe ARDS but not mild ARDS, taking low-dose or pulse glucocorticoids, being critically severe but not only severe, being of critical severity and old but not young, being of critical severity and men but not women, non-early taking glucocorticoids, taking dexamethasone or methylprednisolone, and with the increased inflammatory state; but for SARS, lower mortality was observed among those who were taking medium-high dose glucocorticoids, being severe or critically severe, early taking glucocorticoids, and taking methylprednisolone or prednisolone. CONCLUSIONS: Glucocorticoids treatment reduced mortality in COVID-19 and SARS patients of critical severity; however, different curative effects existed between the two diseases among subpopulations, mainly regarding sex- and age-specific effects, optimal doses, and use timing of glucocorticoids.

Effects of moxibustion for COVID-19 convalescence: A protocol for systematic review and meta-analysis.

BACKGROUND: Coronavirus disease 2019 (COVID-19) is still spreading around the world. Moxibustion, as a significant therapy in traditional Chinese medicine (TCM), has been widely used to treat COVID-19, especially in recovery period. The study will aim to assess the efficacy and safety of moxibustion for COVID-19 convalescence. METHODS: We will systematically search the relevant randomized controlled trials in the 7 databases from inception to February 2021, including PubMed, MEDLINE, Embase, Cochrane Clinical Trials Database, Web of Science, China National Knowledge Infrastructure and Chinese Biomedical Literature Database. No language and publication status restrictions will be applied. Two reviewers will independently conduct and screen all included studies and the meta-analysis will be performed with RevMan V5.3 (The Cochrane Collaboration, Oxford, England). RESULTS: The study will provide a high-quality convincing assessment of the efficacy and safety of moxibustion for the treatment of COVID-19 convalescence, which will be published in a peer-reviewed journal. CONCLUSION: Our study will give more comprehensive evidence of the effectiveness of moxibustion for COVID-19 convalescence. TRIAL REGISTRATION NUMBER: CRD42021230364.

Aggravation effect of regional transport on wintertime PM2.5 over the middle reaches of the Yangtze River under China's air pollutant emission reduction process

The contributions of emission reduction and meteorological changes to air quality improvement in Hubei Province (HB) have required assessment in recent years. In this study, the WRF-Chem scenario tests were conducted to evaluate the effect of both the emission and meteorological changes on the winter PM2.5 from 2015 to 2019, especially that of regional transport and local emissions on the PM2.5 variations in HB. The results showed that meteorological changes in January 2019 increased the PM2.5 by 24% relative to January 2015, whereas emissions reduced it by 36%, indicating that emission reduction was vital in improving the air quality in HB. However, the meteorological changes increased the concentration of air pollutants by 10–25% relative to January 2018. This led to a rebound of the observed pollutant concentrations in January 2019, highlighting the importance of meteorological conditions on air pollution. Regional transport of air pollutants contributed to the inter-annual increase of wintertime PM2.5 by 78%, driven purely by meteorology from 2015 to 2019. This indicated that regional PM2.5 transport could aggravate PM2.5 levels in winter over HB with the reduction of air pollutant emissions in China. Additionally, the regional transport of air pollutants contributed to the decrease in PM2.5 in HB by 42%, resulting from the non-local emission reduction during COVID-19 lockdown in winter. This indicates the importance of the regional transport of air pollutants in driving regional changes in the atmospheric environment over China.

Efficacy and safety of acupuncture for elderly patients with coronavirus disease 2019 (COVID-19): A protocol for systematic review and meta-analysis.

BACKGROUND: The study aims to evaluate the effectiveness and safety of acupuncture therapy for elderly patients with coronavirus disease 2019 (COVID-19). METHODS: Relevant articles from December 2019 to December 2020 will be searched in the following electronic databases: Medline, PubMed, EMBASE, Web of Science, Cochrane Library, China National Knowledge Infrastructure (CNKI), China Biomedical Literature Database (CBM), and China Scientific Journals Database. All published randomized controlled trials (RCTs) and credible clinical observations about this topic will be included. Two independent researchers will operate article retrieval, duplication removing, screening and data analysis by EndNote X9.0 and Stata 15.0. We will use the Cochrane risk of bias tool for randomized trials to assess the risk of bias of included studies. Meta-analysis, subgroup analysis, and/or descriptive analysis will be performed according to the data conditions included. RESULTS: High-quality synthesis and/or descriptive analysis of current evidence will be provided from mortality rate, cure rate, C-reactive protein (CRP), creatine, troponin, aspartate aminotransferase, alanine aminotransferase, and improvements in chest CT scans, clinical symptoms (including fever, fatigue, cough, nausea, vomiting and diarrhea) and the side effects of acupuncture. CONCLUSION: This study will provide evidence of whether acupuncture is an effective and safe intervention for the elderly with COVID-19. PROSPERO REGISTRATION NUMBER: CRD42020225245.

Summary of respiratory rehabilitation and physical therapy guidelines for patients with COVID-19 based on recommendations of World Confederation for Physical Therapy and National Association of Physical Therapy.

[Purpose] To summarize the existing official guidelines issued by the World Confederation for Physical Therapy and Associations of Physical Therapy in various countries and to clarify the recommended methods of respiratory rehabilitation and physiotherapy for patients in different stages of the coronavirus disease of 2019 (COVID-19). [Methods] An introductory literature search was conducted using the keywords "COVID-19", "respiratory rehabilitation", "physical therapy", and others in the database of the Association of Physical Therapy. [Results] Using 12 coronavirus disease-2019 rehabilitation-related articles, we summarized data on physical therapy (PT) evaluation; treatment; indications; contraindications; and termination indicators for patients in acute, stable, and post-discharge stages. [Conclusion] PT for COVID-19 patients with coronavirus disease 2019 should be formulated according to the stage of the disease and condition of the patients.

Comorbidities and the risk of severe or fatal outcomes associated with coronavirus disease 2019: A systematic review and meta-analysis.

OBJECTIVES: Existing findings regarding the relationship between comorbidities and the severity of coronavirus disease 2019 (COVID-19) are inconsistent and insufficient. The aim of this study was to evaluate the association between different comorbidities and the severity of COVID-19. METHODS: The PubMed, Embase, and Cochrane Library databases were searched to identify studies reporting the rates of comorbidities in COVID-19 patients with severe/fatal outcomes. Subgroup analyses were conducted according to disease severity and the country of residence. Odds ratios (OR) with 95% confidence intervals (CI) were pooled using random-effects models. RESULTS: A total of 34 eligible studies were identified. In patients with severe/fatal COVID-19, the most prevalent chronic comorbidities were obesity (42%, 95% CI 34-49%) and hypertension (40%, 95% CI 35-45%), followed by diabetes (17%, 95% CI 15-20%), cardiovascular disease (13%, 95% CI 11-15%), respiratory disease (8%, 95% CI 6-10%), cerebrovascular disease (6%, 95% CI 4-8%), malignancy (4%, 95% CI 3-6%), kidney disease (3%, 95% CI 2-4%), and liver disease (2%, 95% CI 1-3%). In order of the prediction, the pooled ORs of the comorbidities in patients with severe or fatal COVID-19 when compared to patients with non-severe/fatal COVID-19 were as follows: chronic respiratory disease, OR 3.56 (95% CI 2.87-4.41); hypertension, OR 3.17 (95% CI 2.46-4.08); cardiovascular disease, OR 3.13 (95% CI 2.65-3.70); kidney disease, OR 3.02 (95% CI 2.23-4.08); cerebrovascular disease, OR 2.74 (95% CI 1.59-4.74); malignancy, OR 2.73 (95% CI 1.73-4.21); diabetes, OR 2.63 (95% CI 2.08-3.33); and obesity, OR 1.72 (95% CI 1.04-2.85). No correlation was observed between liver disease and COVID-19 aggravation (OR 1.54, 95% CI 0.95-2.49). CONCLUSIONS: Chronic comorbidities, including obesity, hypertension, diabetes, cardiovascular disease, cerebrovascular disease, respiratory disease, kidney disease, and malignancy are clinical risk factors for a severe or fatal outcome associated with COVID-19, with obesity being the most prevalent and respiratory disease being the most strongly predictive. Knowledge of these risk factors could help clinicians better identify and manage the high-risk populations.

Obesity and diabetes as high-risk factors for severe coronavirus disease 2019 (Covid-19).

The outbreak of the coronavirus disease 2019 (Covid-19) has become an evolving worldwide health crisis. With the rising prevalence of obesity and diabetes has come an increasing awareness of their impacts on infectious diseases, including increased risk for various infections, post-infection complications and mortality from critical infections. Although epidemiological and clinical characteristics of Covid-19 have been constantly reported, no article has systematically illustrated the role of obesity and diabetes in Covid-19, or how Covid-19 affects obesity and diabetes, or special treatment in these at-risk populations. Here, we present a synthesis of the recent advances in our understanding of the relationships between obesity, diabetes and Covid-19 along with the underlying mechanisms, and provide special treatment guidance for these at-risk populations.