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1.
Sustainability ; 14(8):4746, 2022.
Article in English | MDPI | ID: covidwho-1792456

ABSTRACT

Heavy metal contamination, waste, and COVID-19 are hazardous to all living things in the environment. This review examined the effects of heavy metals, waste, and COVID-19 on the ecosystem. Scientists and researchers are currently working on ways to extract valuable metals from waste and wastewater. We prefer Tessier sequential extraction for future use for heavy metal pollution in soil. Results indicated that population growth is another source of pollution in the environment. Heavy metal pollution wreaks havoc on soil and groundwater, especially in China. COVID-19 has pros and cons. The COVID-19 epidemic has reduced air pollution in China and caused a significant reduction in CO2 releases globally due to the lockdown but has a harmful effect on human health and the economy. Moreover, COVID-19 brings a huge amount of biomedical waste. COVID-19's biomedical waste appears to be causing different health issues. On the other hand, it was discovered that recycling has become a new source of pollution in south China. Furthermore, heavy metal contamination is the most severe ecological effect. Likewise, every problem has a remedy to create new waste management and pollution monitoring policy. The construction of a modern recycling refinery is an important aspect of national waste disposal.

2.
Front Med (Lausanne) ; 9: 814381, 2022.
Article in English | MEDLINE | ID: covidwho-1753378

ABSTRACT

Background: Multiple Organ Dysfunction Syndrome (MODS) is a major cause of high morbidity and mortality among patients in intensive care units (ICU). Although numerous basic and clinical researches on MODS have been conducted, there is still a long way to go to prevent patients from entering this stage. To our knowledge, no bibliometric analyses of MODS have been reported, this study, therefore, was conducted to reveal MODS research status and trends during 2001-2021. Methods: All relevant literature covering MODS during 2001-2021 were extracted from Web of Science. An online analysis platform of literature metrology was used to analyze the publication trends. VOSviewer software was used to collect and analyze the keywords and research hotspots related to MODS. Results: As of July 31, 2021, a total of 994 MODS-related articles from 2001 to 2021 were identified. The United States accounted for the largest number of publications (31.1%), followed by China and Germany, with 186 and 75 publications, respectively. Among all the institutions, the University of Pittsburgh published the most papers related to MODS (21). Critical Care Medicine published the most papers in this field (106). Professor Moore EE, who had the most citation frequency (1847), made great achievements in MODS research. Moreover, analysis of the keywords identified three MODS research hotspot clusters: "mechanism-related research," "clinical research," and "diagnostic research." Conclusions: The United States maintained a top position worldwide and made the most outstanding contribution in the MODS field. In terms of publication, China was next only to the United States, but there was a disproportion between the quantity of publications and citation frequency. The institution University of Pittsburgh and journal Critical Care Medicine represent the highest level of research in this field. During the 20 years from 2001 to 2021, basic MODS research has been in-depth yet progressed relatively slowly recently, but the outbreak of COVID-19 has to some extent set off an upsurge of clinical research in MODS field.

3.
Ecol Evol ; 12(3): e8659, 2022 Feb.
Article in English | MEDLINE | ID: covidwho-1733864

ABSTRACT

The COVID-19 pandemic has strongly disrupted academic activities, particularly in disciplines with a strong empirical component among other reasons by limiting our mobility. It is thus essential to assess emergency remote teaching plans by surveying learners' opinions and perceptions during these unusual circumstances. To achieve this aim, we conducted a survey during the spring semester of 2021 in an environmental science program to ascertain learners' perceptions on online and onsite learning activities in ecology-based modules. We were particularly interested not only in comparing the performance of these two types of activities but also in understanding the role played by learners' perceptions about nature in shaping this pattern. Environmental science programs are rather heterogeneous from a conceptual point of view and, thus, learners may also be more diverse than in traditional ecology programs, which may affect their interest for ecology-based modules. We assessed connectedness to nature by computing the reduced version of the Nature Relatedness Scale. Here, we found that online activities systematically obtained significantly lower scores than onsite activities regardless of the wording employed, and that altruistic behaviors were prevalent among learners. Interestingly, scores for both onsite and online activities were strongly influenced by learners' connectedness to nature, as learners with a stronger connection to nature gave higher scores to both types of activities. Our results suggest that an effort to improve the efficacy of remote learning activities should be the focus of research about teaching methodologies in predominantly empirical scientific disciplines.

4.
EuropePMC; 2020.
Preprint in English | EuropePMC | ID: ppcovidwho-316978

ABSTRACT

The COVID-19 pandemic has had and continues to have major impacts on planned and ongoing clinical trials. Its effects on trial data create multiple potential statistical issues. The scale of impact is unprecedented, but when viewed individually, many of the issues are well defined and feasible to address. A number of strategies and recommendations are put forward to assess and address issues related to estimands, missing data, validity and modifications of statistical analysis methods, need for additional analyses, ability to meet objectives and overall trial interpretability.

5.
EuropePMC; 2020.
Preprint in English | EuropePMC | ID: ppcovidwho-315367

ABSTRACT

Background: : A respiratory epidemic defined as coronavirus disease 2019 ( COVID-19 ) is becoming unstoppable and has been declared a pandemic. Patients with cancer are more likely to develop COVID-19. Based on our experience during the pandemic period, we propose some surgery strategies for gastric cancer patients under the COVID-19 situation. Methods : We defined the ‘COVID-19’ period as occurring between 2020-01-20 and 2020-03-20. All the enrolled patients were divided into two groups, pre-COVID-19 group (PCG) and COVID-19 group (CG). A total of 109 patients with gastric cancer were enrolled in this study. Results : The waiting times before admission increased by 4 days in CG(PCG:4.5 [IQR: 2, 7.8] vs. CG:8.0 [IQR: 2,20];P = 0.006). More patients had performed chest CT scan besides abdominal CT before admission during COVID-19 period(PCG:22[32%]vs. CG:30[73%], p=0.001). After admission, during COVID period, the waiting time before surgery was longer(3[IQR: 2,5] vs. 7[IQR: 5,9];P < 0.001),more laparoscopic surgery were performed(PCG: 51[75%] vs. CG: 38[92%],p=0.021), and hospital stay after surgery was longer (7[IQR: 6,8] vs.9[IQR:7,11] ;P < 0.001). The total cost of hospitalization increased during COVID period, (9.22[IQR:7.82,10.97] vs. 10.42[IQR:8.99,12.57];p=0.006). Conclusion : Since no data is available yet on the impact of COVID-19 on gastric cancer patients,our own experience with COVID-19 in gastric cancer surgery has hopefully provided an opportunity for colleagues to reflect on their own service and any contingency plans they have to tackle the crisis. Keywords: gastric cancer;coronavirus disease 2019;COVID-19;retrospective analysis;real-world data.

6.
EuropePMC; 2020.
Preprint in English | EuropePMC | ID: ppcovidwho-315366

ABSTRACT

Background: The coronavirus disease 2019 (COVID-19) has been declared a global pandemic by the World Health Organization. Patients with cancer are more likely to incur poor clinical outcomes. Due to the prevailing pandemic, we propose some surgical strategies for gastric cancer patients. Methods: : The ‘COVID-19’ period was defined as occurring between 2020-01-20 and 2020-03-20. The enrolled patients were divided into two groups, pre-COVID-19 group (PCG) and COVID-19 group (CG). A total of 109 patients with gastric cancer were enrolled in this study. Results: : The waiting time before admission increased by 4 days in the CG (PCG: 4.5 [IQR: 2, 7.8] vs. CG: 8.0 [IQR: 2,20];p=0.006). More patients had performed chest CT scans besides abdominal CT before admission during the COVID-19 period (PCG: 22 [32%] vs. CG: 30 [73%], p=0.001). After admission during the COVID period, the waiting time before surgery was longer (PCG: 3[IQR: 2,5] vs. CG: 7[IQR: 5,9];p<0.001), more laparoscopic surgeries were performed (PCG: 51[75%] vs. CG: 38[92%], p=0.021), and hospital stay period after surgery was longer (7[IQR: 6,8] vs.9[IQR:7,11];p<0.001). In addition, the total cost of hospitalization increased during this period, (PCG: 9.22[IQR:7.82,10.97] vs. CG: 10.42[IQR:8.99,12.57];p=0.006). Conclusion: This study provides an opportunity for our surgical colleagues to reflect on their own services and any contingency plans they may have to tackle the COVID-19 crisis.

7.
Epidemiol Infect ; 148: e168, 2020 08 04.
Article in English | MEDLINE | ID: covidwho-1537262

ABSTRACT

This study aimed to identify clinical features for prognosing mortality risk using machine-learning methods in patients with coronavirus disease 2019 (COVID-19). A retrospective study of the inpatients with COVID-19 admitted from 15 January to 15 March 2020 in Wuhan is reported. The data of symptoms, comorbidity, demographic, vital sign, CT scans results and laboratory test results on admission were collected. Machine-learning methods (Random Forest and XGboost) were used to rank clinical features for mortality risk. Multivariate logistic regression models were applied to identify clinical features with statistical significance. The predictors of mortality were lactate dehydrogenase (LDH), C-reactive protein (CRP) and age based on 500 bootstrapped samples. A multivariate logistic regression model was formed to predict mortality 292 in-sample patients with area under the receiver operating characteristics (AUROC) of 0.9521, which was better than CURB-65 (AUROC of 0.8501) and the machine-learning-based model (AUROC of 0.4530). An out-sample data set of 13 patients was further tested to show our model (AUROC of 0.6061) was also better than CURB-65 (AUROC of 0.4608) and the machine-learning-based model (AUROC of 0.2292). LDH, CRP and age can be used to identify severe patients with COVID-19 on hospital admission.


Subject(s)
Coronavirus Infections/mortality , Coronavirus Infections/therapy , Logistic Models , Machine Learning , Pneumonia, Viral/mortality , Pneumonia, Viral/therapy , Adolescent , Adult , Aged , COVID-19 , China/epidemiology , Female , Hospitalization , Humans , Male , Middle Aged , Pandemics , Prognosis , ROC Curve , Reproducibility of Results , Retrospective Studies , Risk Assessment/methods , Young Adult
8.
Acta Pharmacol Sin ; 42(11): 1913-1920, 2021 11.
Article in English | MEDLINE | ID: covidwho-1437673

ABSTRACT

Sepsis is a dysregulated immune response to infection and potentially leads to life-threatening organ dysfunction, which is often seen in serious Covid-19 patients. Disulfiram (DSF), an old drug that has been used to treat alcohol addiction for decades, has recently been identified as a potent inhibitor of the gasdermin D (GSDMD)-induced pore formation that causes pyroptosis and inflammatory cytokine release. Therefore, DSF represents a promising therapeutic for the treatment of inflammatory disorders. Lactoferrin (LF) is a multifunctional glycoprotein with potent antibacterial and anti-inflammatory activities that acts by neutralizing circulating endotoxins and activating cellular responses. In addition, LF has been well exploited as a drug nanocarrier and targeting ligands. In this study, we developed a DSF-LF nanoparticulate system (DSF-LF NP) for combining the immunosuppressive activities of both DSF and LF. DSF-LF NPs could effectively block pyroptosis and inflammatory cytokine release from macrophages. Treatment with DSF-LF NPs showed remarkable therapeutic effects on lipopolysaccharide (LPS)-induced sepsis. In addition, this therapeutic strategy was also applied to treat ulcerative colitis (UC), and substantial treatment efficacy was achieved in a murine colitis model. The underlying mode of action of these DSF-LF-NPs may contribute to efficiently suppressing macrophage-mediated inflammatory responses and ameliorating the complications caused by sepsis and UC. As macrophage pyroptosis plays a pivotal role in inflammation, this safe and effective biomimetic nanomedicine may offer a versatile therapeutic strategy for treating various inflammatory diseases by repurposing DSF.


Subject(s)
COVID-19 , Colitis, Ulcerative , Disulfiram/pharmacokinetics , Lactoferrin , Systemic Inflammatory Response Syndrome , Acetaldehyde Dehydrogenase Inhibitors/pharmacology , Animals , Anti-Inflammatory Agents/pharmacology , Biomimetic Materials/pharmacology , COVID-19/drug therapy , COVID-19/immunology , Colitis, Ulcerative/drug therapy , Colitis, Ulcerative/immunology , Disease Models, Animal , Disulfiram/pharmacology , Drug Carriers/pharmacology , Humans , Immunosuppressive Agents/pharmacology , Lactoferrin/metabolism , Lactoferrin/pharmacology , Lipopolysaccharides/immunology , Macrophages/drug effects , Macrophages/immunology , Mice , Mice, Inbred C57BL , Nanoparticles/therapeutic use , Pyroptosis/drug effects , SARS-CoV-2 , Systemic Inflammatory Response Syndrome/drug therapy , Systemic Inflammatory Response Syndrome/immunology , Systemic Inflammatory Response Syndrome/metabolism , Treatment Outcome
9.
STAR Protoc ; 1(3): 100214, 2020 12 18.
Article in English | MEDLINE | ID: covidwho-1386744

ABSTRACT

This protocol describes an integrated approach for analyzing site-specific N- and O-linked glycosylation of SARS-CoV-2 spike protein by mass spectrometry. Glycoproteomics analyzes intact glycopeptides to examine site-specific microheterogeneity of glycoproteins. Glycomics provides structural characterization on any glycan assignments by glycoproteomics. This procedure can be modified and applied to a variety of N- and/or O-linked glycoproteins. Combined with bioinformatics, the glycomics-informed glycoproteomics may be useful in generating 3D molecular dynamics simulations of certain glycoproteins alone or interacting with one another. For complete details on the use and execution of this protocol, please refer to Zhao et al. (2020).


Subject(s)
Glycomics/methods , Glycoproteins , Proteomics/methods , Spike Glycoprotein, Coronavirus , COVID-19/virology , Glycoproteins/analysis , Glycoproteins/chemistry , Glycoproteins/metabolism , Glycosylation , Humans , Spike Glycoprotein, Coronavirus/analysis , Spike Glycoprotein, Coronavirus/chemistry , Spike Glycoprotein, Coronavirus/metabolism
10.
Economic Research-Ekonomska Istraživanja ; : 1-18, 2021.
Article in English | Taylor & Francis | ID: covidwho-1301251
11.
Nat Cell Biol ; 23(6): 620-630, 2021 06.
Article in English | MEDLINE | ID: covidwho-1263492

ABSTRACT

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection often causes severe complications and even death. However, asymptomatic infection has also been reported, highlighting the difference in immune responses among individuals. Here we performed single-cell chromatin accessibility and T cell-receptor analyses of peripheral blood mononuclear cells collected from individuals convalescing from COVID-19 and healthy donors. Chromatin remodelling was observed in both innate and adaptive immune cells in the individuals convalescing from COVID-19. Compared with healthy donors, recovered individuals contained abundant TBET-enriched CD16+ and IRF1-enriched CD14+ monocytes with sequential trained and activated epigenomic states. The B-cell lineage in recovered individuals exhibited an accelerated developmental programme from immature B cells to antibody-producing plasma cells. Finally, an integrated analysis of single-cell T cell-receptor clonality with the chromatin accessibility landscape revealed the expansion of putative SARS-CoV-2-specific CD8+ T cells with epigenomic profiles that promote the differentiation of effector or memory cells. Overall, our data suggest that immune cells of individuals convalescing from COVID-19 exhibit global remodelling of the chromatin accessibility landscape, indicative of the establishment of immunological memory.


Subject(s)
COVID-19/genetics , Epigenesis, Genetic , Epigenomics , Genes, T-Cell Receptor , Immunologic Memory , Lymphocyte Subsets/immunology , Monocytes/immunology , SARS-CoV-2/immunology , Single-Cell Analysis , Adaptive Immunity , Adolescent , Adult , Aged , B-Lymphocytes/immunology , B-Lymphocytes/metabolism , B-Lymphocytes/virology , CD8-Positive T-Lymphocytes/immunology , CD8-Positive T-Lymphocytes/metabolism , CD8-Positive T-Lymphocytes/virology , COVID-19/immunology , COVID-19/metabolism , COVID-19/virology , Case-Control Studies , Cell Differentiation , Chromatin Assembly and Disassembly , Female , Gene Expression Profiling , Host-Pathogen Interactions , Humans , Immunity, Innate , Lymphocyte Subsets/metabolism , Lymphocyte Subsets/virology , Male , Middle Aged , Monocytes/metabolism , Monocytes/virology , SARS-CoV-2/pathogenicity , Young Adult
12.
J Hazard Mater Lett ; 2: 100027, 2021 Nov.
Article in English | MEDLINE | ID: covidwho-1233433

ABSTRACT

Facing the ongoing coronavirus infectious disease-2019 (COVID-19) pandemic, many studies focus on severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in indoor environment, on solid surface or in wastewater. It remains unclear whether SARS-CoV-2 can spill over into outdoor environments and impose transmission risks to surrounding people and communities. In this study, we investigated the presence of SARS-CoV-2 by measuring viral RNA in 118 samples from outdoor environment of three hospitals in Wuhan. We detected SARS-CoV-2 in soils (205-550 copies/g), aerosols (285-1,130 copies/m3) and wastewaters (255-18,744 copies/L) in locations close to hospital departments receiving COVID-19 patients or in wastewater treatment sectors. These findings revealed a significant viral spillover in hospital outdoor environments that was possibly caused by respiratory droplets from patients or aerosolized particles from wastewater containing SARS-CoV-2. In contrast, SARS-CoV-2 was not detected in other areas or on surfaces with regular implemented disinfection. Soils may behave as viral warehouse through deposition and serve as a secondary source spreading SARS-CoV-2 for a prolonged time. For the first time, our findings demonstrate that there are high-risk areas out of expectation in hospital outdoor environments to spread SARS-CoV-2, calling for sealing of wastewater treatment unit and complete sanitation to prevent COVID-19 transmission risks.

13.
Cell Regen ; 10(1): 21, 2021 Apr 26.
Article in English | MEDLINE | ID: covidwho-1201957

ABSTRACT

Organoids are three-dimensional self-organizing structures formed by adult tissue stem cells or pluripotent stem cells. They recapitulate cell-cell, cell-niche interactions in tissue development, homeostasis, regeneration and disease, and provide an in vitro model for drug screening. This review summarizes the recent advances of organoid cultures derived from adult lung stem cells and human pluripotent stem cells, especially focusing on the organoids of the distal airway stem/progenitor cells. We also discuss the applications of organoids in studying lung regeneration and pulmonary diseases, including pulmonary fibrosis, airway diseases and Coronavirus disease 2019 (COVID-19).

14.
SciFinder; 2020.
Preprint | SciFinder | ID: ppcovidwho-5384

ABSTRACT

The review discussed the medical team management model for the new coronavirus pneumonia COVID-19. The time for the team being established, stuff composition, the numbers of members, training, supply preparation, and protective equipment were discussed.

15.
Infect Dis Poverty ; 9(1): 161, 2020 Nov 25.
Article in English | MEDLINE | ID: covidwho-949105

ABSTRACT

BACKGROUND: Coronavirus disease 2019 (COVID-19) is pandemic. It is critical to identify COVID-19 patients who are most likely to develop a severe disease. This study was designed to determine the clinical and epidemiological features of COVID-19 patients associated with the development of pneumonia and factors associated with disease progression. METHODS: Seventy consecutive patients with etiologically confirmed COVID-19 admitted to PLA General Hospital in Beijing, China from December 27, 2019 to March 12, 2020 were enrolled in this study and followed-up to March 16, 2020. Differences in clinical and laboratory findings between COVID-19 patients with pneumonia and those without were determined by the χ2 test or the Fisher exact test (categorical variables) and independent group t test or Mann-Whitney U test (continuous variables). The Cox proportional hazard model and Generalized Estimating Equations were applied to evaluate factors that predicted the progression of COVID-19. RESULTS: The mean incubation was 8.67 (95% confidence interval, 6.78-10.56) days. Mean duration from the first test severe acute respiratory syndrome coronavirus 2-positive to conversion was 11.38 (9.86-12.90) days. Compared to pneumonia-free patients, pneumonia patients were 16.5 years older and had higher frequencies of having hypertension, fever, and cough and higher circulating levels of neutrophil proportion, interleukin-6, low count (< 190/µl) of CD8+ T cells, and neutrophil/lymphocyte ratio. Thirteen patients deteriorated during hospitalization. Cox regression analysis indicated that older age and higher serum levels of interleukin-6, C-reactive protein, procalcitonin, and lactate at admission significantly predicted the progression of COVID-19. During hospitalization, circulating counts of T lymphocytes, CD4+ T cells, and CD8+ T cells were lower, whereas neutrophil proportion, neutrophil/lymphocyte ratio, and the circulating levels of interleukin-6, C-reactive protein, and procalcitonin were higher, in pneumonia patients than in pneumonia-free patients. CD8+ lymphocyte count in pneumonia patients did not recover when discharged. CONCLUSIONS: Older age and higher levels of C-reactive protein, procalcitionin, interleukin-6, and lactate might predict COVID-19 progression. T lymphocyte, especially CD8+ cell-mediated immunity is critical in recovery of COVID-19. This study may help in predicting disease progression and designing immunotherapy for COVID-19.


Subject(s)
CD8-Positive T-Lymphocytes/pathology , COVID-19/pathology , Interleukin-6/blood , Adolescent , Adult , Aged , Aged, 80 and over , COVID-19/diagnosis , COVID-19/epidemiology , Child , Child, Preschool , China/epidemiology , Disease Progression , Female , Hospitalization , Humans , Leukocyte Count , Male , Middle Aged , Neutrophils/pathology , Pneumonia, Viral/diagnosis , Pneumonia, Viral/epidemiology , Pneumonia, Viral/pathology , Risk Factors , SARS-CoV-2 , Young Adult
16.
Open Forum Infect Dis ; 7(7): ofaa283, 2020 Jul.
Article in English | MEDLINE | ID: covidwho-846713

ABSTRACT

BACKGROUND: Clinical manifestation and neonatal outcomes of pregnant women with coronavirus disease 2019 (COVID-19) were unclear in Wuhan, China. METHODS: We retrospectively analyzed clinical characteristics of pregnant and nonpregnant women with COVID-19 aged from 20 to 40, admitted between January 15 and March 15, 2020 at Union Hospital, Wuhan, and symptoms of pregnant women with COVID-19 and compared the clinical characteristics and symptoms to historic data previously reported for H1N1. RESULTS: Among 64 patients, 34 (53.13%) were pregnant, with higher proportion of exposure history (29.41% vs 6.67%) and more pulmonary infiltration on computed tomography test (50% vs 10%) compared to nonpregnant women. Of pregnant patients, 27 (79.41%) completed pregnancy, 5 (14.71%) had natural delivery, 18 (52.94%) had cesarean section, and 4 (11.76%) had abortion; 5 (14.71%) patients were asymptomatic. All 23 newborns had negative reverse-transcription polymerase chain results, and an average 1-minute Apgar score was 8-9 points. Pregnant and nonpregnant patients show differences in symptoms such as fever, expectoration, and fatigue and on laboratory tests such as neurophils, fibrinogen, D-dimer, and erythrocyte sedimentation rate. Pregnant patients with COVID-19 tend to have more milder symptoms than those with H1N1. CONCLUSIONS: Clinical characteristics of pregnant patients with COVID-19 are less serious than nonpregnant. No evidence indicated that pregnant women may have fetal infection through vertical transmission of COVID-19. Pregnant patients with H1N1 had more serious condition than those with COVID-19.

17.
BMC Surg ; 20(1): 222, 2020 Oct 02.
Article in English | MEDLINE | ID: covidwho-810419

ABSTRACT

BACKGROUND: The coronavirus disease 2019 (COVID-19) has been declared a global pandemic by the World Health Organization. Patients with cancer are more likely to incur poor clinical outcomes. Due to the prevailing pandemic, we propose some surgical strategies for gastric cancer patients. METHODS: The 'COVID-19' period was defined as occurring between 2020 and 01-20 and 2020-03-20. The enrolled patients were divided into two groups, pre-COVID-19 group (PCG) and COVID-19 group (CG). A total of 109 patients with gastric cancer were enrolled in this study. RESULTS: The waiting time before admission increased by 4 days in the CG (PCG: 4.5 [IQR: 2, 7.8] vs. CG: 8.0 [IQR: 2,20]; p = 0.006). More patients had performed chest CT scans besides abdominal CT before admission during the COVID-19 period (PCG: 22 [32%] vs. CG: 30 [73%], p = 0.001). After admission during the COVID period, the waiting time before surgery was longer (PCG: 3[IQR: 2,5] vs. CG: 7[IQR: 5,9]; p < 0.001), more laparoscopic surgeries were performed (PCG: 51[75%] vs. CG: 38[92%], p = 0.021), and hospital stay period after surgery was longer (7[IQR: 6,8] vs.9[IQR:7,11]; p < 0.001). In addition, the total cost of hospitalization increased during this period, (PCG: 9.22[IQR:7.82,10.97] vs. CG: 10.42[IQR:8.99,12.57]; p = 0.006). CONCLUSION: This study provides an opportunity for our surgical colleagues to reflect on their own services and any contingency plans they may have to tackle the COVID-19 crisis.


Subject(s)
Betacoronavirus , Coronavirus Infections/epidemiology , Digestive System Surgical Procedures/statistics & numerical data , Laparoscopy/statistics & numerical data , Pneumonia, Viral/epidemiology , Stomach Neoplasms/surgery , Adult , Aged , COVID-19 , Coronavirus Infections/prevention & control , Coronavirus Infections/transmission , Female , Hospitalization , Humans , Male , Middle Aged , Pandemics/prevention & control , Patient Selection , Pneumonia, Viral/prevention & control , Pneumonia, Viral/transmission , Practice Patterns, Physicians' , Procedures and Techniques Utilization , Retrospective Studies , SARS-CoV-2
19.
SSRN; 2020.
Preprint | SSRN | ID: ppcovidwho-694

ABSTRACT

Background: Since December 2019, Novel coronavirus pneumonia has been reported from Wuhan, China, we try to analysis the clinical, biological and epidemiologica

20.
SSRN; 2020.
Preprint | SSRN | ID: ppcovidwho-513

ABSTRACT

Background: With the outbreak of COVID-19 from Wuhan, HubeProvince, China since January 2020, there is a tremendous pressure on medical resources. We studie

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