Use my Search Websuite to scan PubMed, PMCentral, Journal Hosts and Journal Archives, FullText. Kick-your-searchterm to multiple Engines kick-your-query now !>

A dictionary by aggregated review articles of nephrology, medicine and the life sciences Your one-stop-run pathway from word to the immediate pdf of peer-reviewed on-topic knowledge.

10.1016/j.intimp.2020.106504 http://scihub22266oqcxt.onion/10.1016/j.intimp.2020.106504 32304994!7152924!32304994     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=32304994&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 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Int+Immunopharmacol 2020 ; 84 (ä): 106504 Nephropedia Template TP {{tp|p=32304994|t=2020. The diagnostic and predictive role of NLR, d-NLR and PLR in COVID-19 patients |pdf=|usr=}}{{32304994}} gab.com Text The diagnostic and predictive role of NLR, d-NLR and PLR in COVID-19 patients JO: Int Immunopharmacol http://www.kidney.de/pget.php?&tw=1&pmid=32304994 #FOAvip AIM: To accumulate evidence that indicated the key role played by virus-triggered inflammation in the 2019-novel coronavirus disease (COVID-19) which emerged in Wuhan City and rapidly spread throughout China. METHODS: Age, neutrophil(NEU)-to-lymphocyte (LYM) ratio (NLR), lymphocyte-to-monocyte (MON) ratio, platelet-to-lymphocyte ratio (PLR), and C-reactive protein (CRP) of 93 patients with laboratory confirmed COVID-19 were investigated and compared. The receiver operating characteristic curve was applied to determine the thresholds for five bio-markers, and their prognostic values were assessed via the Kaplan-Meier curve and multivariate COX regression models. RESULTS: The median age was 46.4 years old, and 37cases were females. A total of 27.8% of patients had been to Wuhan, and 73.1% had contacted with people from Wuhan. Fever (83.8%) and cough (70.9%) were the two most common symptoms. Elevated NLR and age were significantly associated with illness severity. The binary logistic analysis identified elevated NLR (hazard risk [HR] 2.46, 95% confidence interval [CI] 1.98-4.57) and age (HR 2.52, 95% CI 1.65-4.83) as independent factors for poor clinical outcome of COVID-19. NLR exhibited the largest area under the curve at 0.841, with the highest specificity (63.6%) and sensitivity (88%). CONCLUSIONS: Elevated age and NLR can be considered independent biomarkers for indicating poor clinical outcomes. Twit Text FOAVip The diagnostic and predictive role of NLR, d-NLR and PLR in COVID-19 patients ????Int Immunopharmacol http://www.kidney.de/pget.php?&tw=1&pmid=32304994 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32304994 #FOAvip English Wikipedia <ref>{{Cite pmid|32304994}}</ref> The diagnostic and predictive role of NLR, d-NLR and PLR in COVID-19 patients #MMPMID32304994 Yang AP; Liu JP; Tao WQ; Li HM Int Immunopharmacol 2020[Jul]; 84 (ä): 106504 PMID32304994show ga AIM: To accumulate evidence that indicated the key role played by virus-triggered inflammation in the 2019-novel coronavirus disease (COVID-19) which emerged in Wuhan City and rapidly spread throughout China. METHODS: Age, neutrophil(NEU)-to-lymphocyte (LYM) ratio (NLR), lymphocyte-to-monocyte (MON) ratio, platelet-to-lymphocyte ratio (PLR), and C-reactive protein (CRP) of 93 patients with laboratory confirmed COVID-19 were investigated and compared. The receiver operating characteristic curve was applied to determine the thresholds for five bio-markers, and their prognostic values were assessed via the Kaplan-Meier curve and multivariate COX regression models. RESULTS: The median age was 46.4 years old, and 37cases were females. A total of 27.8% of patients had been to Wuhan, and 73.1% had contacted with people from Wuhan. Fever (83.8%) and cough (70.9%) were the two most common symptoms. Elevated NLR and age were significantly associated with illness severity. The binary logistic analysis identified elevated NLR (hazard risk [HR] 2.46, 95% confidence interval [CI] 1.98-4.57) and age (HR 2.52, 95% CI 1.65-4.83) as independent factors for poor clinical outcome of COVID-19. NLR exhibited the largest area under the curve at 0.841, with the highest specificity (63.6%) and sensitivity (88%). CONCLUSIONS: Elevated age and NLR can be considered independent biomarkers for indicating poor clinical outcomes. |*Betacoronavirus[MESH] |Adult[MESH] |Blood Platelets/*physiology[MESH] |C-Reactive Protein/analysis[MESH] |COVID-19[MESH] |Coronavirus Infections/blood/*diagnosis/epidemiology/pathology[MESH] |Epidemics[MESH] |Female[MESH] |Humans[MESH] |Lymphocyte Count[MESH] |Lymphocytes/*physiology[MESH] |Male[MESH] |Middle Aged[MESH] |Monocytes/*physiology[MESH] |Neutrophils/*physiology[MESH] |Pandemics[MESH] |Pneumonia, Viral/blood/*diagnosis/epidemiology/pathology[MESH] |Prognosis[MESH] |ROC Curve[MESH]The diagnostic and predictive role of NLR, d-NLR and PLR in COVID-19 p(epmc).pdf DeepDyve Pubget Overpricing