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.

10.1038/s41598-021-81732-4 http://scihub22266oqcxt.onion/10.1038/s41598-021-81732-4 33500507!7838185!33500507     free     free     free 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       Sci+Rep 2021 ; 11 (1): 2169 Nephropedia Template TP {{tp|p=33500507|t=2021. CD8(+) T cells predicted the conversion of common covid-19 to severe |pdf=|usr=}}{{33500507}} gab.com Text CD8(+) T cells predicted the conversion of common covid-19 to severe JO: Sci Rep http://www.kidney.de/pget.php?&tw=1&pmid=33500507 #FOAvip To evaluate the predictive effect of T-lymphoid subsets on the conversion of common covid-19 to severe. The laboratory data were collected retrospectively from common covid-19 patients in the First People's Hospital of Zaoyang, Hubei Province, China and the Third People's Hospital of Kunming, Yunnan Province, China, between January 20, 2020 and March 15, 2020 and divided into training set and validation set. Univariate and multivariate logistic regression was performed to investigate the risk factors for the conversion of common covid-19 to severe in the training set, the prediction model was established and verified externally in the validation set. 60 (14.71%) of 408 patients with common covid-19 became severe in 6-10 days after diagnosis. Univariate and multiple logistic regression analysis revealed that lactate (P = 0.042, OR = 1097.983, 95% CI 1.303, 924,798.262) and CD8(+) T cells (P = 0.010, OR = 0.903, 95% CI 0.835, 0.975) were independent risk factors for general type patients to turn to severe type. The area under ROC curve of lactate and CD8(+) T cells was 0.754 (0.581, 0.928) and 0.842 (0.713, 0.970), respectively. The actual observation value was highly consistent with the prediction model value in curve fitting. The established prediction model was verified in 78 COVID-19 patients in the verification set, the area under the ROC curve was 0.906 (0.861, 0.981), and the calibration curve was consistent. CD8(+) T cells, as an independent risk factor, could predict the transition from common covid-19 to severe. Twit Text FOAVip CD8(+) T cells predicted the conversion of common covid-19 to severe ????Sci Rep http://www.kidney.de/pget.php?&tw=1&pmid=33500507 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33500507 #FOAvip English Wikipedia <ref>{{Cite pmid|33500507}}</ref> CD8(+) T cells predicted the conversion of common covid-19 to severe #MMPMID33500507 Liu L; Chen Z; Du Y; Gao J; Li J; Deng T; Chen C; Wang L; Yang Y; Liu C Sci Rep 2021[Jan]; 11 (1): 2169 PMID33500507show ga To evaluate the predictive effect of T-lymphoid subsets on the conversion of common covid-19 to severe. The laboratory data were collected retrospectively from common covid-19 patients in the First People's Hospital of Zaoyang, Hubei Province, China and the Third People's Hospital of Kunming, Yunnan Province, China, between January 20, 2020 and March 15, 2020 and divided into training set and validation set. Univariate and multivariate logistic regression was performed to investigate the risk factors for the conversion of common covid-19 to severe in the training set, the prediction model was established and verified externally in the validation set. 60 (14.71%) of 408 patients with common covid-19 became severe in 6-10 days after diagnosis. Univariate and multiple logistic regression analysis revealed that lactate (P = 0.042, OR = 1097.983, 95% CI 1.303, 924,798.262) and CD8(+) T cells (P = 0.010, OR = 0.903, 95% CI 0.835, 0.975) were independent risk factors for general type patients to turn to severe type. The area under ROC curve of lactate and CD8(+) T cells was 0.754 (0.581, 0.928) and 0.842 (0.713, 0.970), respectively. The actual observation value was highly consistent with the prediction model value in curve fitting. The established prediction model was verified in 78 COVID-19 patients in the verification set, the area under the ROC curve was 0.906 (0.861, 0.981), and the calibration curve was consistent. CD8(+) T cells, as an independent risk factor, could predict the transition from common covid-19 to severe. |*Disease Progression[MESH] |Adrenal Cortex Hormones/administration & dosage[MESH] |Adult[MESH] |Algorithms[MESH] |CD8-Positive T-Lymphocytes/*virology[MESH] |COVID-19/*blood/pathology[MESH] |China[MESH] |Female[MESH] |Humans[MESH] |Hypoxia/metabolism[MESH] |Lopinavir/administration & dosage[MESH] |Male[MESH] |Methylprednisolone/administration & dosage[MESH] |Middle Aged[MESH] |Multivariate Analysis[MESH] |Oxygen/chemistry[MESH] |Predictive Value of Tests[MESH] |Prognosis[MESH] |ROC Curve[MESH] |Real-Time Polymerase Chain Reaction[MESH] |Regression Analysis[MESH] |Retrospective Studies[MESH] |Risk Factors[MESH]CD8(+) T cells predicted the conversion of common covid-19 to severe (epmc).pdf DeepDyve Pubget Overpricing