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10.1016/j.rmed.2020.106206 http://scihub22266oqcxt.onion/10.1016/j.rmed.2020.106206 33166904!7644196!33166904     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=33166904&cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Respir+Med 2020 ; 175 (ä): 106206 Nephropedia Template TP {{tp|p=33166904|t=2020. Determining extent of COVID-19 pneumonia on CT based on biological variables |pdf=|usr=}}{{33166904}} gab.com Text Determining extent of COVID-19 pneumonia on CT based on biological variables JO: Respir Med http://www.kidney.de/pget.php?&tw=1&pmid=33166904 #FOAvip INTRODUCTION: Covid-19 pneumonia CT extent correlates well with outcome including mortality. However, CT is not widely available in many countries. This study aimed to explore the relationship between Covid-19 pneumonia CT extent and blood tests variations. The objective was to determine for the biological variables correlating with disease severity the cut-off values showing the best performance to predict the parenchymal extent of the pneumonia. METHODS: Bivariate correlations were calculated between biological variables and grade of disease extent on CT. Receiving Operating Characteristic curve analysis determined the best cutoffs for the strongest correlated biological variables. The performance of these variables to predict mild (<10%) or severe pneumonia (>50% of parenchyma involved) was evaluated. RESULTS: Correlations between biological variables and disease extent was evaluated in 168 patients included in this study. LDH, lymphocyte count and CRP showed the strongest correlations (with 0.67, -0.41 and 0.52 correlation coefficient, respectively). Patients were split into a training and a validation cohort according to their centers. If one variable was above/below the following cut-offs, LDH>380, CRP>80 or lymphocyte count <0.8G/L, severe pneumonia extent on CT was detected with 100% sensitivity. Values above/below all three thresholds were denoted in 73% of patients with severe pneumonia extent. The combination of LDH<220 and CRP<22 was associated with mild pneumonia extent (<10%) with specificity of 100%. DISCUSSION: LDH showed the strongest correlation with the extent of Covid-19 pneumonia on CT. Combined with CRP+/-lymphocyte count, it helps predicting parenchymal extent of the pneumonia when CT scan is not available. Twit Text FOAVip Determining extent of COVID-19 pneumonia on CT based on biological variables ????Respir Med http://www.kidney.de/pget.php?&tw=1&pmid=33166904 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33166904 #FOAvip English Wikipedia <ref>{{Cite pmid|33166904}}</ref> Determining extent of COVID-19 pneumonia on CT based on biological variables #MMPMID33166904 Tordjman M; Mekki A; Mali RD; Monnier H; Neveu S; Chassagnon G; Mihoubi F; Carlier N; Marey J; Fournier L; Carlier RY; Drape JL; Revel MP Respir Med 2020[Dec]; 175 (ä): 106206 PMID33166904show ga INTRODUCTION: Covid-19 pneumonia CT extent correlates well with outcome including mortality. However, CT is not widely available in many countries. This study aimed to explore the relationship between Covid-19 pneumonia CT extent and blood tests variations. The objective was to determine for the biological variables correlating with disease severity the cut-off values showing the best performance to predict the parenchymal extent of the pneumonia. METHODS: Bivariate correlations were calculated between biological variables and grade of disease extent on CT. Receiving Operating Characteristic curve analysis determined the best cutoffs for the strongest correlated biological variables. The performance of these variables to predict mild (<10%) or severe pneumonia (>50% of parenchyma involved) was evaluated. RESULTS: Correlations between biological variables and disease extent was evaluated in 168 patients included in this study. LDH, lymphocyte count and CRP showed the strongest correlations (with 0.67, -0.41 and 0.52 correlation coefficient, respectively). Patients were split into a training and a validation cohort according to their centers. If one variable was above/below the following cut-offs, LDH>380, CRP>80 or lymphocyte count <0.8G/L, severe pneumonia extent on CT was detected with 100% sensitivity. Values above/below all three thresholds were denoted in 73% of patients with severe pneumonia extent. The combination of LDH<220 and CRP<22 was associated with mild pneumonia extent (<10%) with specificity of 100%. DISCUSSION: LDH showed the strongest correlation with the extent of Covid-19 pneumonia on CT. Combined with CRP+/-lymphocyte count, it helps predicting parenchymal extent of the pneumonia when CT scan is not available. |Aged[MESH] |Aged, 80 and over[MESH] |Biomarkers/*blood[MESH] |C-Reactive Protein/metabolism[MESH] |COVID-19/*diagnostic imaging/epidemiology/*metabolism/virology[MESH] |Female[MESH] |Fibrin Fibrinogen Degradation Products/metabolism[MESH] |France/epidemiology[MESH] |Humans[MESH] |L-Lactate Dehydrogenase/metabolism[MESH] |Lymphocyte Count/statistics & numerical data[MESH] |Male[MESH] |Middle Aged[MESH] |Pneumonia, Viral/epidemiology/pathology[MESH] |Retrospective Studies[MESH] |SARS-CoV-2/genetics[MESH] |Sensitivity and Specificity[MESH] |Severity of Illness Index[MESH]Determining extent of COVID-19 pneumonia on CT based on biological var(epmc).pdf DeepDyve Pubget Overpricing