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HGNC Genes

SARS-CoV-2 proteins

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    Malignancy MESHD History Affected the Prognosis of COVID-19 MESHD Patients via Release of Interleukin-6

    Authors: Jiahao Hu; Haixia Ding; Shenglan Ye; Guoxing Xu; Xiuwen Yang; Liangchao Wang; Xiaowu Shi

    doi:10.21203/rs.3.rs-127495/v1 Date: 2020-12-12 Source: ResearchSquare

    Background: Coronavirus disease 2019 MESHD ( COVID-19 MESHD), a newly erupted respiratory infectious disease MESHD caused by severe acute respiratory syndrome coronavirus 2 MESHD (SARS-CoV-2), has swept across the most of countries. The laboratory characteristics of COVID-patients accompanied with cancer MESHD and the risk factors for disease progression and survival of this particular population were few reported. Methods: We enrolled 585 confirmed COVID-19 MESHD patients admitted to our hospitals with measured interleukin-6 HGNC level on admission. Laboratory tests and outcome were extracted from electronic medical records. Data was divided to cancer group and non-cancer MESHD group to explorer the risk factors of progression and survival.Findings: A total of 44 patients with different cancer type MESHD (cancer group) and 541 patients without cancer MESHD ( non-cancer MESHD group) were included. Cancer group had significant higher levels of NEUT, NLR, IL-6 HGNC, and CRP HGNC than non-cancer group, but lymphocyte count and ALB HGNC were lower. Cancer group showed significantly higher progression rate (42·1% vs 22·5%) and mortality (27·27% vs 11·91%) than non-cancer group. Elevated IL-6 HGNC and CRP were the risk factors associated with progression among moderate patients and death MESHD in-hospital (all p<0·05) in non- cancer group. This correlation was not observed in caner group.Interpretation: IL-6 HGNC, CRP HGNC, NEUT, and NLR were elevated in COVID-19 MESHD patients with cancer MESHD, with lower level of LYMP and ALB HGNC. IL-6 HGNC and CRP were positively correlated with progression and poor outcome in patients without cancer MESHD. As one of combined diseases, despite malignancy MESHD history did not directly affect the prognosis of COVID-19 MESHD, but it could play a role in the poorer outcome through release of IL-6 and CRP.

    Establishment of a clinical nomogram model to predict the progression of COVID-19 MESHD to severe disease

    Authors: changli tu; Guojie Wang; Cuiyan Tan; Meizhu Chen; Zijun Xiang; Hu Peng; Ying Wang; Yingjian Liang; Yiying Huang; Zhenguo Wang; Jian Wu; Qizhen Cao; Qiang Han; Lin Xu; Jin Huang; Xiaobin Zheng; Qiuyue Chen; Yayuan Geng; Na Guo; Xiaorong Zhou; Xinran Liu; Ning Cui; Jing Liu; Hong Shan

    doi:10.21203/rs.3.rs-44136/v1 Date: 2020-07-16 Source: ResearchSquare

    Background Coronavirus disease 2019 MESHD ( COVID-19 MESHD) is a worldwide public health pandemic with a high mortality rate, among severe cases. The disease is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus. It is important to ensure early detection of the virus to curb disease progression to severe COVID-19 MESHD. This study aimed to establish a clinical-nomogram model to predict the progression to severe COVID-19 MESHD in a timely, efficient manner.Methods This retrospective study included 202 patients with COVID-19 MESHD who were admitted to the Fifth Affiliated Hospital of Sun Yat-sen University and Shiyan Taihe Hospital from January 17 to April 30, 2020. The patients were randomly assigned to the training dataset (n = 163, with 43 progressing to severe COVID-19 MESHD) or the validation dataset (n = 39, with 10 progressing to severe COVID-19 MESHD) at a ratio of 8:2. The optimal subset algorithm was applied to filter for the clinical factors most relevant to the disease progression. Based on these factors, the logistic regression model was fit to distinguish severe (including severe and critical cases) from non-severe (including mild and moderate cases) COVID-19 MESHD. Sensitivity, specificity, and area under the curve (AUC) were calculated using the R software package to evaluate prediction performance. A clinical nomogram was established and performance assessed with the discrimination curve.Results Risk factors, including demographics data, symptoms, laboratory and image findings were recorded for the 202 patients. Eight of the 52 variables that were entered into the selection process were selected via the best subset algorithm to establish the predictive model; they included gender, age, BMI, CRP HGNC, D-dimer, TP, ALB HGNC, and involved-lobe. Sensitivity, specificity and AUC were 0.91, 0.84 and 0.86 for the training dataset, and 0.87, 0.66, and 0.80 for the validation dataset.Conclusions We established an efficient and reliable clinical nomogram model which showed that gender, age, and initial indexes including BMI, CRP HGNC, D-dimer, involved-lobe, TP, and ALB HGNC could predict the risk of progression to severe COVID-19 MESHD.

    Characteristics and outcomes of coronavirus disease 2019 MESHD ( COVID-19 MESHD) patients with cancer: A single-center retrospective observational study in Tokyo, Japan

    Authors: Shohei Nakamura; Yusuke Kanemasa; Yuya Atsuta; Sho Fujiwara; Masaru Tanaka; Kazuaki Fukushima; Taiichiro Kobayashi; Tatsu Shimoyama; Yasushi Omuro; Noritaka Sekiya; Akifumi Imamura

    doi:10.21203/rs.3.rs-39157/v1 Date: 2020-06-30 Source: ResearchSquare

    BackgroundAlthough severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused an international outbreak of coronavirus disease 2019 MESHD ( COVID-19 MESHD), data on the clinical characteristics of COVID-19 MESHD patients with cancer MESHD are limited. This study aimed to evaluate the clinical characteristics and outcomes including mortality and viral shedding period in COVID-19 MESHD patients with cancer MESHD in Japan.MethodsWe retrospectively analyzed 32 patients with a history of cancer MESHD who were referred to our hospital between January 31, 2020 and May 25, 2020. We evaluated the association between clinical outcomes and potential prognostic factors using univariate analyses.ResultsThe median age was 74.5 (range, 24–90) years and 22 patients (69%) were men. A total of 11 patients (34%) died. Our analyses demonstrated that the mortality was significantly associated with lymphocyte count, albumin HGNC, lactate dehydrogenase, serum ferritin, and C-reactive protein HGNC on admission. The median period between illness onset and the first effective negative SARS-CoV-2 PCR result was 22 days (interquartile range, 18–25) in survivors. Of four patients with hematological malignancy MESHD who developed COVID-19 MESHD within the rest period of chemotherapy, three died and the other patient, who received bendamustine plus rituximab therapy, had the longest duration of viral shedding (56 days).ConclusionOur study suggested that the risk factors for mortality previously reported in general COVID-19 MESHD patients, including lymphocytopenia MESHD, were also effective in cancer MESHD patients. Patients who received cytotoxic chemotherapy recently or were treated with chemotherapy, which can lead to lymphocyte reduction, had poor prognosis and prolonged periods of viral shedding.

    Corona Virus Disease 2019 ( COVID-19 MESHD): Intensive Care Admission Prediction Model

    Authors: Mahomood Y. Hachim; Ibrahim Y. Hachim; Kashif Bin Naeem; Haifa Hannawi; Issa Al Salmi; Suad Hannawi

    doi:10.21203/rs.3.rs-35442/v1 Date: 2020-06-14 Source: ResearchSquare

    Background: Identifying clinical-features or a scoring-system to predict a benefit from hospital admission for patients with COVID-19 MESHD can be of great value for the decision-makers in the health-sector. We aim to identify differences in patients' demographic, clinical, laboratory and radiological findings of COVID-19 MESHD positive cases to develop and validate a diagnostic-model predicting who will develop severe-form and who will need critical-care in the future.Methodology: Patients were classified according to their clinical state into mild, moderate, severe, and critical. All their baseline clinical data, laboratory, and radiological results were used to construct a prediction-model that can predict if the COVID-19 MESHD patients will develop a severe condition that will necessitate their ICU-admission. An ensemble feature selection tool was used to identify the relative importance of each variable. The performance of the selected features compared to all features using logistic regression and area under curve test.Results: Patients with ICU admission showed a distinct clinical, demographic as well as laboratory features when compared to pattients that did not need ICU admission. This includes elder age group, male gender and presence of comorbidities like diabetis and history of hypertension MESHD.Out of the different demographic, clinical and laboratory charasteristics of these patients, Age at diagnosis, Lymphocyte count, C-reactive protein HGNC ( CRP HGNC), lactate dehydrogenase (LDH), Albumin HGNC, Urea, and Procalcitonin levels were found to be able to predict which patients may need ICU admission. Conclusion: Higher CRP HGNC, LDH, Age at diagnosis, Urea, Procalcitonin, and lower Albumin HGNC, Lymphocyte count are significant determinant in ICU admission for COVID-19 MESHD patients. 

    Clinical and biochemical indexes of 11 COVID-19 MESHD patients and the genome sequence analysis of the tested SARS-CoV-2

    Authors: Zhikang Yu; Heming Wu; Qingyan Huang; Xuemin Guo; Zhixiong Zhong

    doi:10.21203/rs.3.rs-32414/v2 Date: 2020-05-29 Source: ResearchSquare

    BackgroundAt present, SARS-CoV-2 epidemic MESHD in the world rapidly spread. It is a serious global public health emergency.MethodsHere we described the clinical characteristics of 11 SARS-CoV-2 infected MESHD patients hospitalized in the Meizhou People's Hospital. And viral genome sequences of SARS-CoV-2 from these patients were analyzed.ResultsOf the 11 patients, six cases developed fever MESHD, nine cases developed cough MESHD, and two cases developed headache MESHD and chills. Four patients (36.4%) had underlying diseases. Pneumonia is the most common complication. The laboratory test results showed that there was no adult patients with increased LYM/LYM%. Most patients had normal total protein (TP) and albumin ( ALB HGNC), but only two patients had decreased. Most patients had increased or normal levels of erythrocyte sedimentation rate (ESR), C reactive protein HGNC ( CRP HGNC), activated partial thromboplastin time (APTT), fibrinogen HGNC (FIB), creatine kinase isoenzymes (CK-MB), and lactate dehydrogenase (LDH). Neutrophil (NEU) (r=0.664, P=0.026), CK-MB (r=0.655, P=0.029), blood urea nitrogen (BUN) (r=0.682, P=0.021) and SARS-CoV-2 virus cycle threshold (Ct) value were significantly correlated. Multiple sequence alignment (MSA) shows that we identified two different SNPs at positions 8781 and 28144, and have a completely linked genetic form of 8781C-28144T and 8781T-28144C.ConclusionsThe reports of these 11 cases in our hospital will provide useful information for the diagnosis, treatment and drug development of SARS-CoV-2.

    An increased pretreatment neutrophil-to-lymphocyte ratio predicts severe novel coronavirus-infected pneumonia

    Authors: Xiaoyue Wang; Desheng Jiang; Huang Huang; Xiaofeng Chen; Chunlei Zhou; Dongsheng Jiao; Ping Fan; Qian Cui; Hui Liao; Binbin Shi

    doi:10.21203/rs.3.rs-31796/v1 Date: 2020-05-26 Source: ResearchSquare

    Objective The aim of this study was to identify early warning signs for severe novel coronavirus-infected pneumonia MESHD ( COVID-19 MESHD).Methods We retrospectively analyzed the clinical data of 90 patients with COVID-19 MESHD at the Guanggu District of Hubei Women and Children Medical and Healthcare Center comprising 60 mild cases and 30 severe cases. The demographic data, underlying diseases, clinical manifestations and laboratory blood test results were compared between the two groups. Logistic regression analysis was performed to identify the independent risk factors that predicted severe COVID-19 MESHD. The receiver-operating characteristic (ROC) curve of independent risk factors was calculated, and the area under the curve (AUC) was used to evaluate the efficiency of the prediction of severe COVID-19 MESHD.Results The patients with mild and severe COVID-19 MESHD showed significant differences in terms of cancer MESHD incidence, age, pretreatment neutrophil-to-lymphocyte ratio (NLR), C-reactive protein HGNC ( CRP HGNC) and the serum albumin HGNC ( ALB HGNC) level (P<0.05). The severity of COVID-19 MESHD was correlated positively with the comorbidity of cancer MESHD, age, NLR, and CRP HGNC but was negatively correlated with the ALB HGNC level (P<0.05). Multivariate logistic regression analysis showed that the NLR and ALB HGNC level were independent risk factors for severe COVID-19 MESHD (OR=1.319, 95% CI: 1.043-1.669, P=0.021; OR=0.739, 95% CI: 0.616-0.886, P=0.001), with AUCs of 0.851 and 0.128, respectively. An NLR of 4.939 corresponded to the maximum joint sensitivity and specificity according to the ROC curve (0.700 and 0.917, respectively).Conclusion An increased NLR can serve as an early warning sign of severe COVID-19 MESHD.

    Metabolic disturbances and inflammatory dysfunction predict severity of coronavirus disease 2019 MESHD ( COVID-19 MESHD): a retrospective study

    Authors: Shuke Nie; Xueqing Zhao; Kang Zhao; Zhaohui Zhang; Zhentao Zhang; Zhan Zhang

    doi:10.1101/2020.03.24.20042283 Date: 2020-03-26 Source: medRxiv

    Background: The coronavirus disease 2019 MESHD ( COVID-19 MESHD) is spreading worldwide with 16,558 deaths till date. Serum albumin HGNC, high-density lipoprotein (HDL-C), and C-reactive protein HGNC have been known to be associated with the severity and mortality of community-acquired pneumonia MESHD. However, the characteristics and role of metabolic and inflammatory indicators in COVID-19 MESHD is unclear. Methods: We included 97 hospitalized patients with laboratory-confirmed COVID-19 MESHD. Epidemiological, clinical, and laboratory indices; radiological features; and treatment were analysed. The differences in the clinical and laboratory parameters between mild and severe COVID-19 MESHD patients and the role of these indicators in severity prediction of COVID-19 MESHD were investigated. Results: All were Wuhan residents with contact with confirmed COVID-19 MESHD cases. The median age was 39 years (IQR: 30-59). The most common presenting symptoms were fever MESHD (58.8%), cough (55.7%), and fatigue MESHD (33%). Other features were lymphopenia MESHD, impaired fasting glucose, hypoproteinaemia MESHD, hypoalbuminemia MESHD, low high-density lipoproteinemia MESHD. Decrease in lymphocyte count, serum total protein, serum albumin HGNC, high-density lipoprotein cholesterol (HDL-C), ApoA1 HGNC, CD3+T%, and CD8+T% were found to be valuable in predicting the transition of COVID-19 MESHD from mild to severe illness. Chest computed tomography (CT) images showed that the absorption of bilateral lung lesions synchronized with the recovery of metabolic and inflammatory indicators. Conclusions: Hypoproteinaemia, hypoalbuminemia MESHD, low high-density lipoproteinemia MESHD, and decreased ApoA1 HGNC, CD3+T%, and CD8+T% could predict severity of COVID-19 MESHD. Lymphocyte count, total serum protein, and HDL-C may be potentially useful for the evaluation of COVID-19 MESHD.

    Analysis on the Clinical Characteristics of 36 Cases of Novel Coronavirus Pneumonia in Kunming

    Authors: Haiyan Fu; Hongjuan Li; Xiaoqing Tang; Xiang Li; Jie Shen; Yujun Zhou; Bing Xu; Yu Luo

    doi:10.1101/2020.02.28.20029173 Date: 2020-03-01 Source: medRxiv

    Objective: To analyze the clinical characteristics of patients with novel coronavirus pneumonia in Kunming City, and to study the correlation between nutritional status and immune function. Methods: Clinical data of 36 patients with novel coronavirus pneumonia in isolation area of Kunming Third People's Hospital from January 31 to February 15, 2020 were collected, and the basic situation, clinical characteristics, laboratory examination and CT imaging characteristics were analyzed. Serum albumin HGNC ( ALB HGNC), prealbumin (PAB), hypersensitive c-reactive protein HGNC (hs-crp), CD3T cells, CD4T cells, CD8T cells and normal control group were analyzed. A simple linear regression analysis of the relationship between proalbumin and T cell subpopulation counts in the blood of patients. Results: (1) The patients with new coronavirus pneumonia in Kunming were mainly of common type. (2) 50% of the patients' first symptoms were fever and cough; (3) The total number of white blood cells in peripheral blood was normal or decreased in 23 cases (79%), and the lymphocyte count decreased in 5 cases (13.89%), without anemia. Hypersensitive c-reactive protein HGNC increased in 19 (52.78%) cases, and procalcitonin increased in 1 case. Albumin decreased in 5 cases (13.89%), proalbumin decreased in 15 cases (41.67%), alanine transaminase increased slightly in 4 cases (11.11%), alanine transaminase increased slightly in 4 cases (11.11%), total bilirubin increased slightly in 11 cases (30.56%), and renal function and blood coagulation were normal. Absolute value of CD3+T cells is with a decrease in 21 cases (58.3%), CD4 HGNC+T in 28 cases (77.8%), CD8 HGNC+T in 17 cases (47.2%), and CD4 HGNC+/ CD8 HGNC+ inverse in 6 cases (16.7%). (4) The prealbumin, CD3 T cells, CD4 HGNC T cells and CD8 HGNC T cells in the new coronavirus pneumonia group were significantly lower than those in the normal control group, and the hypersensitive c-reactive protein HGNC was higher than that in the normal control group. (5) The levels of PAB in the serum of the patients were linearly correlated with hs-crp, CD3 T cells, CD4 HGNC T cells and CD8 HGNC T cells, and the correlation coefficients were -0.474, 0.558, 0.467 and 0.613, respectively, showing statistical differences. Conclusion: The clinical characteristics of the novel coronavirus pneumonia in Kunming are different from those in Wuhan. The changes of serum proalbumin and T cell subsets are relatively obvious. Changes in serum proalbumin may contribute to the early warning of novel coronavirus pneumonia. The nutritional status of patients with common and mild pneumonia should be considered.

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MeSH Disease
HGNC Genes
SARS-CoV-2 Proteins


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