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10.1002/jmv.25871 http://scihub22266oqcxt.onion/10.1002/jmv.25871 32281668!7262341!32281668     free     free     free Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 253.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       J+Med+Virol 2020 ; 92 (7): 856-862 Nephropedia Template TP {{tp|p=32281668|t=2020. C-reactive protein correlates with computed tomographic findings and predicts severe COVID-19 early |pdf=|usr=}}{{32281668}} gab.com Text C-reactive protein correlates with computed tomographic findings and predicts severe COVID-19 early JO: J Med Virol http://www.kidney.de/pget.php?&tw=1&pmid=32281668 #FOAvip COVID-19 has developed into a worldwide pandemic; early identification of severe illness is critical for controlling it and improving the prognosis of patients with limited medical resources. The present study aimed to analyze the characteristics of severe COVID-19 and identify biomarkers for differential diagnosis and prognosis prediction. In total, 27 consecutive patients with COVID-19 and 75 patients with flu were retrospectively enrolled. Clinical parameters were collected from electronic medical records. The disease course was divided into four stages: initial, progression, peak, and recovery stages, according to computed tomography (CT) progress. to mild COVID-19, the lymphocytes in the severe COVID-19 progressively decreased at the progression and the peak stages, but rebound in the recovery stage. The levels of C-reactive protein (CRP) in the severe group at the initial and progression stages were higher than those in the mild group. Correlation analysis showed that CRP (R = .62; P < .01), erythrocyte sedimentation rate (R = .55; P < .01) and granulocyte/lymphocyte ratio (R = .49; P < .01) were positively associated with the CT severity scores. In contrast, the number of lymphocytes (R = -.37; P < .01) was negatively correlated with the CT severity scores. The receiver-operating characteristic analysis demonstrated that area under the curve of CRP on the first visit for predicting severe COVID-19 was 0.87 (95% CI 0.10-1.00) at 20.42 mg/L cut-off, with sensitivity and specificity 83% and 91%, respectively. CRP in severe COVID-19 patients increased significantly at the initial stage, before CT findings. Importantly, CRP, which was associated with disease development, predicted early severe COVID-19. Twit Text FOAVip C-reactive protein correlates with computed tomographic findings and predicts severe COVID-19 early ????J Med Virol http://www.kidney.de/pget.php?&tw=1&pmid=32281668 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32281668 #FOAvip English Wikipedia <ref>{{Cite pmid|32281668}}</ref> C-reactive protein correlates with computed tomographic findings and predicts severe COVID-19 early #MMPMID32281668 Tan C; Huang Y; Shi F; Tan K; Ma Q; Chen Y; Jiang X; Li X J Med Virol 2020[Jul]; 92 (7): 856-862 PMID32281668show ga COVID-19 has developed into a worldwide pandemic; early identification of severe illness is critical for controlling it and improving the prognosis of patients with limited medical resources. The present study aimed to analyze the characteristics of severe COVID-19 and identify biomarkers for differential diagnosis and prognosis prediction. In total, 27 consecutive patients with COVID-19 and 75 patients with flu were retrospectively enrolled. Clinical parameters were collected from electronic medical records. The disease course was divided into four stages: initial, progression, peak, and recovery stages, according to computed tomography (CT) progress. to mild COVID-19, the lymphocytes in the severe COVID-19 progressively decreased at the progression and the peak stages, but rebound in the recovery stage. The levels of C-reactive protein (CRP) in the severe group at the initial and progression stages were higher than those in the mild group. Correlation analysis showed that CRP (R = .62; P < .01), erythrocyte sedimentation rate (R = .55; P < .01) and granulocyte/lymphocyte ratio (R = .49; P < .01) were positively associated with the CT severity scores. In contrast, the number of lymphocytes (R = -.37; P < .01) was negatively correlated with the CT severity scores. The receiver-operating characteristic analysis demonstrated that area under the curve of CRP on the first visit for predicting severe COVID-19 was 0.87 (95% CI 0.10-1.00) at 20.42 mg/L cut-off, with sensitivity and specificity 83% and 91%, respectively. CRP in severe COVID-19 patients increased significantly at the initial stage, before CT findings. Importantly, CRP, which was associated with disease development, predicted early severe COVID-19. |*Disease Outbreaks[MESH] |Adolescent[MESH] |Adult[MESH] |Aged[MESH] |Area Under Curve[MESH] |Betacoronavirus/genetics/*pathogenicity[MESH] |Biomarkers/blood[MESH] |Blood Sedimentation[MESH] |C-Reactive Protein/*metabolism[MESH] |COVID-19[MESH] |China/epidemiology[MESH] |Coronavirus Infections/blood/*diagnosis/*epidemiology/pathology[MESH] |Early Diagnosis[MESH] |Electronic Health Records[MESH] |Female[MESH] |Granulocytes/pathology[MESH] |Humans[MESH] |Influenza, Human/blood/*diagnosis/*epidemiology/pathology[MESH] |Lymphocytes/pathology[MESH] |Male[MESH] |Middle Aged[MESH] |Orthomyxoviridae/genetics/isolation & purification[MESH] |Pandemics[MESH] |Pneumonia, Viral/blood/*diagnosis/*epidemiology/pathology[MESH] |Prognosis[MESH] |ROC Curve[MESH] |Retrospective Studies[MESH] |SARS-CoV-2[MESH] |Severity of Illness Index[MESH]C-reactive protein correlates with computed tomographic findings and p(epmc).pdf DeepDyve Pubget Overpricing