Corpus overview


MeSH Disease

Human Phenotype


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    Biological Risk Factors Predict Transfer to Intensive Care Units and Death MESHD in Covid-19 Patients

    Authors: Chloé Sauzay; Maïlys Le Guyader; Ophélie Evrard; Rémy Nyga; Alexis Caulier; Jean-Luc Schmit; Claire Andréjak; Antoine Galmiche; Catherine François; Sandrine Castelain; Julien Maizel; Loïc Garçon; Etienne Brochot; Thomas Boyer

    doi:10.21203/ Date: 2020-06-02 Source: ResearchSquare

    Infection MESHD Infection with severe HP with severe acute respiratory syndrome MESHD coronavirus 2 (SARS-CoV2), causing the COVID-19, has been declared as pandemic by the World Health Organization. Epidemiological and clinical characteristics of patients with COVID-19 have been largely reported but biological risk factors have not yet been well described. In this retrospective and monocentric study, we explored 35 hematological and biochemical parameters, routinely measured at the Amiens University Hospital laboratory, between February 21, 2020 and March 30, 2020 for patients diagnosed with COVID-19. 154 patients were included in this study. We compared biological parameters collected at hospital admission between patients who survived or not after hospitalization. Non survivor patients displayed lower hemoglobin (p=0.02) and bicarbonate concentrations (p=0.03) and higher potassium concentration (p=0.03) compared to the survivors. We then compared these biological parameters between patients hospitalized in conventional care units and patients hospitalized in intensive care units (ICU). Numerous biological examinations had significant variations, including lymphocyte and neutrophil counts, bicarbonate, calcium and C Reactive Protein concentrations. In multivariate Cox analysis, risk factors for aggravation (defined as ICU admission or death MESHD) included low bicarbonate levels and hyponatremia MESHD hyponatremia HP. A significant worse overall survival was associated with hyponatremia MESHD hyponatremia HP, hyperkaliemia and prothrombin time > 16.8 seconds. We then proposed a prognostic score, to be validated in a future prospective study. Thus, these biological parameters, easily available, could help clinicians to identify high risk patients at an early stage of infection MESHD.

    The differences of clinical characteristics and outcomes between imported and local patients of COVID-19 in Hunan: A two-center retrospective study

    Authors: Chang Wang; Lizhi Zhou; Juan Chen; Yong Yang; Tianlong Huang; Min Fu; Ya Li; Daniel George; Xiangyu Chen

    doi:10.21203/ Date: 2020-04-16 Source: ResearchSquare

    Background: The clinical characteristics and outcomes of the 2019 novel coronavirus (COVID-19) pneumonia MESHD pneumonia HP are different in Hubei compared to other regions in China. But there are few comparative studies on the differences between imported and local patients which may provide information of the different courses of the virus after transmission TRANS. Methods: We investigated 169 cases of COVID-19 pneumonia MESHD pneumonia HP in two centers in Hunan Province, and divided them into two groups according to epidemiological history, "imported patients" refers to patient with a clear history of travel TRANS in Wuhan within 14 days before onset, and " local patients” refers to local resident without a recent history of travel TRANS in Wuhan, aiming to analyze the difference in clinical characteristics and outcomes between the two groups. All the epidemiological, clinical, imaging, and laboratory data were analyzed and contrasted. Results: The incidence of fever MESHD fever HP on admission in imported patients was significantly higher than local patients. There was a significantly higher proportion of abnormal pulmonary signs, hypokalemia MESHD hypokalemia HP, hyponatremia MESHD hyponatremia HP, prolonged PT, elevated D-dimer and elevated blood SERO glucose in imported patients. Compared with local patients, the proportion using antibiotics, glucocorticoids and gamma globulin were significantly higher in imported patients. The moderate type was more common in local patients, and the severe type were more frequent in imported patients. In addition, the median duration of viral clearance was longer in imported patients. Conclusions: In summary, we found that imported cases were more likely to develop into severe cases, compared with local patients and required more powerful treatments.Trial registration: Registered 21st March 2020, and this study has been approved by the Medical Ethics Committee (Approved Number. 2020017). 

    Establishment of a clinical nomogram model to predict the progress to severe COVID-19 

    Authors: Changli Tu; Guojie Wang; Cuiyan Tan; Meizhu Chen; Hu Peng; Ying Wang; Yingjian Liang; Yiying Huang; Zhenguo Wang; Jian Wu; Kongqiu Wang; Qinhuan Huang; Jin Huang; Xiaobin Zheng; Qiuyue Chen; Yayuan Geng; Na Guo; Xiaorong Zhou; Xinran Liu; Jing Liu; Hong Shan

    doi:10.21203/ Date: 2020-03-14 Source: ResearchSquare

    Background: Severe acute respiratory syndrome MESHD coronavirus 2 (SARS-CoV-2) infection MESHD is the leading cause of a public health emergency MESHD in the world, accompanying with high mortality in severe corona virus disease MESHD 2019(COVID-19 ), thereby early detection and stopping the progress to severe COVID-19 is important. Our aim is to establish a clinical nomogram model to calculate and predict the progress to severe COVID-19 timely and efficiently.Methods: In this study, 65 patients with COVID-19 had been included retrospectively in the Fifth Affiliated Hospital of Sun Yat-sen University from January 17, to February 11, 2020. Patients were randomly assigned to train dataset (n=51 with 15 progressing to severe COVID-19) and test dataset (n=14 with 4 progressing to severe COVID-19). Lasso algorithm was applied to filter the most classification relevant clinical factors. Based on selected factors, logistic regression model was fit to predict the severe from mild/common. Meanwhile in nomogram sensitivity SERO, specificity, AUC (Area under Curve), and calibration curve were depicted and calculated by R language, to evaluate the prediction performance SERO to severe COVID-19.Results:High ratio of sever COVID-19 patients (26.5%) had been found in our retrospective study, and 84% of these cases progress to severe or critical after 5 days from their first clinical examination. In these 65 patients with COVID-19, 77 clinical characteristics in first examination were collected and analyzed, and 37 ones had been found different between non-severe and severe COVID-19. But when all these factors were analyzed in establishment of prediction model, six factors are crucial for predicting progress of severe COVID-19 via Lasso algorithm. Based on these six factors, including increased fibrinogen, hyponatremia MESHD hyponatremia HP, decreased PaO2,multiple lung lobes involved, down-regulated CD3(+)T-lymphocyte and fever MESHD fever HP, a logistic regression model was fit to discriminate severe and common COVID-19 patients. The sensitivity SERO, specificity and AUC were 0.93, 0.86, 0.96 in the train dataset and 0.9, 1.0, 1.0 in test dataset respectively. Nomogram-predicted probability was more consistent with actual probability by R language.Conclusions:In summary, an efficient and reliable clinical nomogram model had been established, which indicate increased fibrinogen, hyponatremia MESHD hyponatremia HP, decreased PaO2, multiple lung lobes involved, down-regulated CD3(+)T-lymphocyte and fever MESHD fever HP at the first clinical examination, could predict progress of patients to severe COVID-19.

    Analysis of early renal injury in COVID-19 and diagnostic value of multi-index combined detection

    Authors: Xu-wei Hong; Ze-pai Chi; Guo-yuan Liu; Hong Huang; Shun-qi Guo; Jing-ru Fan; Xian-wei Lin; Liao-zhun Qu; Rui-lie Chen; Ling-jie Wu; Liang-yu Wang; Qi-chuan Zhang; Su-wu Wu; Ze-qun Pan; Hao Lin; Yu-hua Zhou; Yong-hai Zhang

    doi:10.1101/2020.03.07.20032599 Date: 2020-03-10 Source: medRxiv

    Objectives The aim of the study was to analyze the incidence of COVID-19 with early renal injury, and to explore the value of multi-index combined detection in diagnosis of early renal injury in COVID-19. Design The study was an observational, descriptive study. Setting This study was carried out in a tertiary hospital in Guangdong, China. Participants 12 patients diagnosed with COVID-19 from January 20, 2020 to February 20, 2020. Primary and secondary outcome measures The primary outcome was to evaluate the incidence of early renal injury in COVID-19. In this study, the estimated glomerular filtration rate (eGFR), endogenous creatinine clearance (Ccr) and urine microalbumin / urinary creatinine ratio (UACR) were calculated to assess the incidence of early renal injury. Secondary outcomes were the diagnostic value of urine microalbumin (UMA), 1-microglobulin (A1M), urine immunoglobulin-G (IGU), urine transferring (TRU) alone and in combination in diagnosis of COVID-19 with early renal injury. Results While all patients had no significant abnormalities in serum SERO creatinine (Scr) and blood SERO urea nitrogen (BUN), the abnormal rates of eGFR, Ccr, and UACR were 66.7%, 41.7%, and 41.7%, respectively. Urinary microprotein detection indicated that the area under curve (AUC) of multi-index combined to diagnose early renal injury in COVID-19 was 0.875, which was higher than UMA (0,813), A1M (0.813), IGU (0.750) and TRU (0.750) alone. Spearman analysis showed that the degree of early renal injury was significantly related to C-reactive protein (CRP) and neutrophil ratio (NER), suggesting that the more severe the infection HP infection MESHD, the more obvious the early renal injury. Hypokalemia MESHD Hypokalemia HP and hyponatremia MESHD hyponatremia HP were common in patients with COVID-19, and there was a correlation with the degree of renal injury. Conclusions Early renal injury was common in patients with COVID-19. Combined detection of UMA, A1M, IGU, and TRU was helpful for the diagnosis of early renal injury in COVID-19.

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MeSH Disease
Human Phenotype

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