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10.1016/j.rce.2021.06.003 http://scihub22266oqcxt.onion/10.1016/j.rce.2021.06.003 34176952!8221018!34176952     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=34176952&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       Rev+Clin+Esp 2022 ; 222 (1): 1-12 Nephropedia Template TP {{tp|p=34176952|t=2022. Derivacion y validacion de una puntuacion de riesgo de ingreso en la Unidad de Cuidados Intensivos para pacientes con COVID-19 |pdf=|usr=}}{{34176952}} gab.com Text Derivacion y validacion de una puntuacion de riesgo de ingreso en la Unidad de Cuidados Intensivos para pacientes con COVID-19 JO: Rev Clin Esp http://www.kidney.de/pget.php?&tw=1&pmid=34176952 #FOAvip BACKGROUND: This work aims to identify and validate a risk scale for admission to intensive care units (ICU) in hospitalized patients with coronavirus disease 2019 (COVID-19). METHODS: We created a derivation rule and a validation rule for ICU admission using data from a national registry of a cohort of patients with confirmed SARS-CoV-2 infection who were admitted between March and August 2020 (n = 16,298). We analyzed the available demographic, clinical, radiological, and laboratory variables recorded at hospital admission. We evaluated the performance of the risk score by estimating the area under the receiver operating characteristic curve (AUROC). Using the beta coefficients of the regression model, we developed a score (0 to 100 points) associated with ICU admission. RESULTS: The mean age of the patients was 67 years; 57% were men. A total of 1,420 (8.7%) patients were admitted to the ICU. The variables independently associated with ICU admission were age, dyspnea, Charlson Comorbidity Index score, neutrophil-to-lymphocyte ratio, lactate dehydrogenase levels, and presence of diffuse infiltrates on a chest X-ray. The model showed an AUROC of 0.780 (CI: 0.763-0.797) in the derivation cohort and an AUROC of 0.734 (CI: 0.708-0.761) in the validation cohort. A score of greater than 75 points was associated with a more than 30% probability of ICU admission while a score of less than 50 points reduced the likelihood of ICU admission to 15%. CONCLUSION: A simple prediction score was a useful tool for forecasting the probability of ICU admission with a high degree of precision. Twit Text FOAVip Derivacion y validacion de una puntuacion de riesgo de ingreso en la Unidad de Cuidados Intensivos para pacientes con COVID-19 ????Rev Clin Esp http://www.kidney.de/pget.php?&tw=1&pmid=34176952 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34176952 #FOAvip English Wikipedia <ref>{{Cite pmid|34176952}}</ref> Derivacion y validacion de una puntuacion de riesgo de ingreso en la Unidad de Cuidados Intensivos para pacientes con COVID-19 #MMPMID34176952 Ena J; Segura-Heras JV; Fonseca-Aizpuru EM; Lopez-Reboiro ML; Gracia-Gutierrez A; Martin-Oterino JA; Martin-Urda Diez-Canseco A; Perez-Garcia C; Ramos-Rincon JM; Gomez-Huelgas R Rev Clin Esp 2022[Jan]; 222 (1): 1-12 PMID34176952show ga BACKGROUND: This work aims to identify and validate a risk scale for admission to intensive care units (ICU) in hospitalized patients with coronavirus disease 2019 (COVID-19). METHODS: We created a derivation rule and a validation rule for ICU admission using data from a national registry of a cohort of patients with confirmed SARS-CoV-2 infection who were admitted between March and August 2020 (n = 16,298). We analyzed the available demographic, clinical, radiological, and laboratory variables recorded at hospital admission. We evaluated the performance of the risk score by estimating the area under the receiver operating characteristic curve (AUROC). Using the beta coefficients of the regression model, we developed a score (0 to 100 points) associated with ICU admission. RESULTS: The mean age of the patients was 67 years; 57% were men. A total of 1,420 (8.7%) patients were admitted to the ICU. The variables independently associated with ICU admission were age, dyspnea, Charlson Comorbidity Index score, neutrophil-to-lymphocyte ratio, lactate dehydrogenase levels, and presence of diffuse infiltrates on a chest X-ray. The model showed an AUROC of 0.780 (CI: 0.763-0.797) in the derivation cohort and an AUROC of 0.734 (CI: 0.708-0.761) in the validation cohort. A score of greater than 75 points was associated with a more than 30% probability of ICU admission while a score of less than 50 points reduced the likelihood of ICU admission to 15%. CONCLUSION: A simple prediction score was a useful tool for forecasting the probability of ICU admission with a high degree of precision. ?Derivacion y validacion de una puntuacion de riesgo de ingreso en la U(epmc).pdf DeepDyve Pubget Overpricing