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10.1016/j.jaci.2021.02.021 http://scihub22266oqcxt.onion/10.1016/j.jaci.2021.02.021 33662370!7919507!33662370     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 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 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 267.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       J+Allergy+Clin+Immunol 2021 ; 147 (5): 1652-1661.e1 Nephropedia Template TP {{tp|p=33662370|t=2021. IL-6-based mortality prediction model for COVID-19: Validation and update in multicenter and second wave cohorts |pdf=|usr=}}{{33662370}} gab.com Text IL-6-based mortality prediction model for COVID-19: Validation and update in multicenter and second wave cohorts JO: J Allergy Clin Immunol http://www.kidney.de/pget.php?&tw=1&pmid=33662370 #FOAvip BACKGROUND: Coronavirus disease 2019 (COVID-19) is a highly variable condition. Validated tools to assist in the early detection of patients at high risk of mortality can help guide medical decisions. OBJECTIVE: We sought to validate externally, as well as in patients from the second pandemic wave in Europe, our previously developed mortality prediction model for hospitalized COVID-19 patients. METHODS: Three validation cohorts were generated: 2 external with 185 and 730 patients from the first wave and 1 internal with 119 patients from the second wave. The probability of death was calculated for all subjects using our prediction model, which includes peripheral blood oxygen saturation/fraction of inspired oxygen ratio, neutrophil-to-lymphocyte ratio, lactate dehydrogenase, IL-6, and age. Discrimination and calibration were evaluated in the validation cohorts. The prediction model was updated by reestimating individual risk factor effects in the overall cohort (N = 1477). RESULTS: The mortality prediction model showed good performance in the external validation cohorts 1 and 2, and in the second wave validation cohort 3 (area under the receiver-operating characteristic curve, 0.94, 0.86, and 0.86, respectively), with excellent calibration (calibration slope, 0.86, 0.94, and 0.79; intercept, 0.05, 0.03, and 0.10, respectively). The updated model accurately predicted mortality in the overall cohort (area under the receiver-operating characteristic curve, 0.91), which included patients from both the first and second COVID-19 waves. The updated model was also useful to predict fatal outcome in patients without respiratory distress at the time of evaluation. CONCLUSIONS: This is the first COVID-19 mortality prediction model validated in patients from the first and second pandemic waves. The COR+12 online calculator is freely available to facilitate its implementation (https://utrero-rico.shinyapps.io/COR12_Score/). Twit Text FOAVip IL-6-based mortality prediction model for COVID-19: Validation and update in multicenter and second wave cohorts ????J Allergy Clin Immunol http://www.kidney.de/pget.php?&tw=1&pmid=33662370 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33662370 #FOAvip English Wikipedia <ref>{{Cite pmid|33662370}}</ref> IL-6-based mortality prediction model for COVID-19: Validation and update in multicenter and second wave cohorts #MMPMID33662370 Utrero-Rico A; Ruiz-Hornillos J; Gonzalez-Cuadrado C; Rita CG; Almoguera B; Minguez P; Herrero-Gonzalez A; Fernandez-Ruiz M; Carretero O; Taracido-Fernandez JC; Lopez-Rodriguez R; Corton M; Aguado JM; Villar LM; Ayuso-Garcia C; Paz-Artal E; Laguna-Goya R J Allergy Clin Immunol 2021[May]; 147 (5): 1652-1661.e1 PMID33662370show ga BACKGROUND: Coronavirus disease 2019 (COVID-19) is a highly variable condition. Validated tools to assist in the early detection of patients at high risk of mortality can help guide medical decisions. OBJECTIVE: We sought to validate externally, as well as in patients from the second pandemic wave in Europe, our previously developed mortality prediction model for hospitalized COVID-19 patients. METHODS: Three validation cohorts were generated: 2 external with 185 and 730 patients from the first wave and 1 internal with 119 patients from the second wave. The probability of death was calculated for all subjects using our prediction model, which includes peripheral blood oxygen saturation/fraction of inspired oxygen ratio, neutrophil-to-lymphocyte ratio, lactate dehydrogenase, IL-6, and age. Discrimination and calibration were evaluated in the validation cohorts. The prediction model was updated by reestimating individual risk factor effects in the overall cohort (N = 1477). RESULTS: The mortality prediction model showed good performance in the external validation cohorts 1 and 2, and in the second wave validation cohort 3 (area under the receiver-operating characteristic curve, 0.94, 0.86, and 0.86, respectively), with excellent calibration (calibration slope, 0.86, 0.94, and 0.79; intercept, 0.05, 0.03, and 0.10, respectively). The updated model accurately predicted mortality in the overall cohort (area under the receiver-operating characteristic curve, 0.91), which included patients from both the first and second COVID-19 waves. The updated model was also useful to predict fatal outcome in patients without respiratory distress at the time of evaluation. CONCLUSIONS: This is the first COVID-19 mortality prediction model validated in patients from the first and second pandemic waves. The COR+12 online calculator is freely available to facilitate its implementation (https://utrero-rico.shinyapps.io/COR12_Score/). |*COVID-19/epidemiology/immunology/mortality[MESH] |*Models, Immunological[MESH] |Age Factors[MESH] |Aged[MESH] |Aged, 80 and over[MESH] |Europe/epidemiology[MESH] |Female[MESH] |Humans[MESH] |Interleukin-6/*immunology[MESH] |Male[MESH] |Middle Aged[MESH] |Predictive Value of Tests[MESH] |Retrospective Studies[MESH] |Risk Factors[MESH]IL-6-based mortality prediction model for COVID-19: Validation and upd(epmc).pdf DeepDyve Pubget Overpricing