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10.1038/s41598-021-83054-x http://scihub22266oqcxt.onion/10.1038/s41598-021-83054-x 33594193!7887205!33594193     free     free     free Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 265.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 265.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 265.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Sci+Rep 2021 ; 11 (1): 3863 Nephropedia Template TP {{tp|p=33594193|t=2021. A rapid screening model for early predicting novel coronavirus pneumonia in Zhejiang Province of China: a multicenter study |pdf=|usr=}}{{33594193}} gab.com Text A rapid screening model for early predicting novel coronavirus pneumonia in Zhejiang Province of China: a multicenter study JO: Sci Rep http://www.kidney.de/pget.php?&tw=1&pmid=33594193 #FOAvip Novel coronavirus pneumonia (NCP) has been widely spread in China and several other countries. Early finding of this pneumonia from huge numbers of suspects gives clinicians a big challenge. The aim of the study was to develop a rapid screening model for early predicting NCP in a Zhejiang population, as well as its utility in other areas. A total of 880 participants who were initially suspected of NCP from January 17 to February 19 were included. Potential predictors were selected via stepwise logistic regression analysis. The model was established based on epidemiological features, clinical manifestations, white blood cell count, and pulmonary imaging changes, with the area under receiver operating characteristic (AUROC) curve of 0.920. At a cut-off value of 1.0, the model could determine NCP with a sensitivity of 85% and a specificity of 82.3%. We further developed a simplified model by combining the geographical regions and rounding the coefficients, with the AUROC of 0.909, as well as a model without epidemiological factors with the AUROC of 0.859. The study demonstrated that the screening model was a helpful and cost-effective tool for early predicting NCP and had great clinical significance given the high activity of NCP. Twit Text FOAVip A rapid screening model for early predicting novel coronavirus pneumonia in Zhejiang Province of China: a multicenter study ????Sci Rep http://www.kidney.de/pget.php?&tw=1&pmid=33594193 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33594193 #FOAvip English Wikipedia <ref>{{Cite pmid|33594193}}</ref> A rapid screening model for early predicting novel coronavirus pneumonia in Zhejiang Province of China: a multicenter study #MMPMID33594193 Dai YN; Zheng W; Wu QQ; Hui TC; Sun NN; Chen GB; Tong YX; Bao SX; Wu WH; Huang YC; Yin QQ; Wu LJ; Yu LX; Shi JC; Fang N; Shen YF; Xie XS; Ma CL; Yu WJ; Tu WH; Yan R; Wang MS; Chen MJ; Zhang JJ; Ju B; Gao HN; Huang HJ; Li LJ; Pan HY Sci Rep 2021[Feb]; 11 (1): 3863 PMID33594193show ga Novel coronavirus pneumonia (NCP) has been widely spread in China and several other countries. Early finding of this pneumonia from huge numbers of suspects gives clinicians a big challenge. The aim of the study was to develop a rapid screening model for early predicting NCP in a Zhejiang population, as well as its utility in other areas. A total of 880 participants who were initially suspected of NCP from January 17 to February 19 were included. Potential predictors were selected via stepwise logistic regression analysis. The model was established based on epidemiological features, clinical manifestations, white blood cell count, and pulmonary imaging changes, with the area under receiver operating characteristic (AUROC) curve of 0.920. At a cut-off value of 1.0, the model could determine NCP with a sensitivity of 85% and a specificity of 82.3%. We further developed a simplified model by combining the geographical regions and rounding the coefficients, with the AUROC of 0.909, as well as a model without epidemiological factors with the AUROC of 0.859. The study demonstrated that the screening model was a helpful and cost-effective tool for early predicting NCP and had great clinical significance given the high activity of NCP. |*Mass Screening[MESH] |*Models, Biological[MESH] |Adult[MESH] |COVID-19/*diagnosis/*epidemiology[MESH] |China/epidemiology[MESH] |Female[MESH] |Humans[MESH] |Male[MESH] |Middle Aged[MESH] |Pneumonia/*diagnosis[MESH] |ROC Curve[MESH]A rapid screening model for early predicting novel coronavirus pneumon(epmc).pdf DeepDyve Pubget Overpricing