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10.1186/s12967-020-02505-7 http://scihub22266oqcxt.onion/10.1186/s12967-020-02505-7 32867787!7457219!32867787     free     free     free Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       J+Transl+Med 2020 ; 18 (1): 328 Nephropedia Template TP {{tp|p=32867787|t=2020. ANDC: an early warning score to predict mortality risk for patients with Coronavirus Disease 2019 |pdf=|usr=}}{{32867787}} gab.com Text ANDC: an early warning score to predict mortality risk for patients with Coronavirus Disease 2019 JO: J Transl Med http://www.kidney.de/pget.php?&tw=1&pmid=32867787 #FOAvip BACKGROUND: Patients with severe Coronavirus Disease 2019 (COVID-19) will progress rapidly to acute respiratory failure or death. We aimed to develop a quantitative tool for early predicting mortality risk of patients with COVID-19. METHODS: 301 patients with confirmed COVID-19 admitted to Main District and Tumor Center of the Union Hospital of Huazhong University of Science and Technology (Wuhan, China) between January 1, 2020 to February 15, 2020 were enrolled in this retrospective two-centers study. Data on patient demographic characteristics, laboratory findings and clinical outcomes was analyzed. A nomogram was constructed to predict the death probability of COVID-19 patients. RESULTS: Age, neutrophil-to-lymphocyte ratio, D-dimer and C-reactive protein obtained on admission were identified as predictors of mortality for COVID-19 patients by LASSO. The nomogram demonstrated good calibration and discrimination with the area under the curve (AUC) of 0.921 and 0.975 for the derivation and validation cohort, respectively. An integrated score (named ANDC) with its corresponding death probability was derived. Using ANDC cut-off values of 59 and 101, COVID-19 patients were classified into three subgroups. The death probability of low risk group (ANDC < 59) was less than 5%, moderate risk group (59 </= ANDC </= 101) was 5% to 50%, and high risk group (ANDC > 101) was more than 50%, respectively. CONCLUSION: The prognostic nomogram exhibited good discrimination power in early identification of COVID-19 patients with high mortality risk, and ANDC score may help physicians to optimize patient stratification management. Twit Text FOAVip ANDC: an early warning score to predict mortality risk for patients with Coronavirus Disease 2019 ????J Transl Med http://www.kidney.de/pget.php?&tw=1&pmid=32867787 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32867787 #FOAvip English Wikipedia <ref>{{Cite pmid|32867787}}</ref> ANDC: an early warning score to predict mortality risk for patients with Coronavirus Disease 2019 #MMPMID32867787 Weng Z; Chen Q; Li S; Li H; Zhang Q; Lu S; Wu L; Xiong L; Mi B; Liu D; Lu M; Yang D; Jiang H; Zheng S; Zheng X J Transl Med 2020[Aug]; 18 (1): 328 PMID32867787show ga BACKGROUND: Patients with severe Coronavirus Disease 2019 (COVID-19) will progress rapidly to acute respiratory failure or death. We aimed to develop a quantitative tool for early predicting mortality risk of patients with COVID-19. METHODS: 301 patients with confirmed COVID-19 admitted to Main District and Tumor Center of the Union Hospital of Huazhong University of Science and Technology (Wuhan, China) between January 1, 2020 to February 15, 2020 were enrolled in this retrospective two-centers study. Data on patient demographic characteristics, laboratory findings and clinical outcomes was analyzed. A nomogram was constructed to predict the death probability of COVID-19 patients. RESULTS: Age, neutrophil-to-lymphocyte ratio, D-dimer and C-reactive protein obtained on admission were identified as predictors of mortality for COVID-19 patients by LASSO. The nomogram demonstrated good calibration and discrimination with the area under the curve (AUC) of 0.921 and 0.975 for the derivation and validation cohort, respectively. An integrated score (named ANDC) with its corresponding death probability was derived. Using ANDC cut-off values of 59 and 101, COVID-19 patients were classified into three subgroups. The death probability of low risk group (ANDC < 59) was less than 5%, moderate risk group (59 101) was more than 50%, respectively. CONCLUSION: The prognostic nomogram exhibited good discrimination power in early identification of COVID-19 patients with high mortality risk, and ANDC score may help physicians to optimize patient stratification management. |*Early Warning Score[MESH] |*Nomograms[MESH] |Adult[MESH] |Aged[MESH] |Betacoronavirus/physiology[MESH] |COVID-19[MESH] |China/epidemiology[MESH] |Cohort Studies[MESH] |Coronavirus Infections/*diagnosis/*mortality[MESH] |Female[MESH] |History, 21st Century[MESH] |Humans[MESH] |Male[MESH] |Middle Aged[MESH] |Pandemics[MESH] |Pneumonia, Viral/*diagnosis/*mortality[MESH] |Prognosis[MESH] |Retrospective Studies[MESH] |Risk Assessment[MESH] |Risk Factors[MESH]ANDC: an early warning score to predict mortality risk for patients wi(epmc).pdf DeepDyve Pubget Overpricing