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10.1097/CCM.0000000000004549 http://scihub22266oqcxt.onion/10.1097/CCM.0000000000004549 32897668!7448719!32897668     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 Deprecated: Implicit conversion from float 267.2 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 Deprecated: Implicit conversion from float 267.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Crit+Care+Med 2020 ; 48 (11): e1004-e1011 Nephropedia Template TP {{tp|p=32897668|t=2020. Evaluation of the Risk Prediction Tools for Patients With Coronavirus Disease 2019 in Wuhan, China: A Single-Centered, Retrospective, Observational Study |pdf=|usr=}}{{32897668}} gab.com Text Evaluation of the Risk Prediction Tools for Patients With Coronavirus Disease 2019 in Wuhan, China: A Single-Centered, Retrospective, Observational Study JO: Crit Care Med http://www.kidney.de/pget.php?&tw=1&pmid=32897668 #FOAvip OBJECTIVES: To evaluate and compare the efficacy of National Early Warning Score, National Early Warning Score 2, Rapid Emergency Medicine Score, Confusion, Respiratory rate, Blood pressure, Age 65 score, and quick Sepsis-related Organ Failure Assessment on predicting in-hospital death in patients with coronavirus disease 2019. DESIGN: A retrospective, observational study. SETTING: Single center, West Campus of Wuhan Union hospital-a temporary center to manage critically ill patients with coronavirus disease 2019. PATIENTS: A total of 673 consecutive adult patients with coronavirus disease 2019 between January 30, 2020, and March 14, 2020. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Data on demography, comorbidities, vital signs, mental status, oxygen saturation, and use of supplemental oxygen at admission to the ward were collected from medical records and used to score National Early Warning Score, National Early Warning Score 2, Rapid Emergency Medicine Score, Confusion, Respiratory rate, Blood pressure, Age 65 score, and quick Sepsis-related Organ Failure Assessment. Total number of patients was 673 (51% male) and median (interquartile range) age was 61 years (50-69 yr). One-hundred twenty-one patients died (18%). For predicting in-hospital death, the area under the receiver operating characteristics (95% CI) for National Early Warning Score, National Early Warning Score 2, Rapid Emergency Medicine Score, Confusion, Respiratory rate, Blood pressure, Age 65 score, and quick Sepsis-related Organ Failure Assessment were 0.882 (0.847-0.916), 0.880 (0.845-0.914), 0.839 (0.800-0.879), 0.766 (0.718-0.814), and 0.694 (0.641-0.746), respectively. Among the parameters of National Early Warning Score, the oxygen saturation score was found to be the most significant predictor of in-hospital death. The area under the receiver operating characteristic (95% CI) for oxygen saturation score was 0.875 (0.834-0.916). CONCLUSIONS: In this single-center study, the discrimination of National Early Warning Score/National Early Warning Score 2 for predicting mortality in patients with coronavirus disease 2019 admitted to the ward was found to be superior to Rapid Emergency Medicine Score, Confusion, Respiratory rate, Blood pressure, Age 65 score, and quick Sepsis-related Organ Failure Assessment. Peripheral oxygen saturation could independently predict in-hospital death in these patients. Further validation of our finding in multiple settings is needed to determine its applicability for coronavirus disease 2019. Twit Text FOAVip Evaluation of the Risk Prediction Tools for Patients With Coronavirus Disease 2019 in Wuhan, China: A Single-Centered, Retrospective, Observational Study ????Crit Care Med http://www.kidney.de/pget.php?&tw=1&pmid=32897668 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32897668 #FOAvip English Wikipedia <ref>{{Cite pmid|32897668}}</ref> Evaluation of the Risk Prediction Tools for Patients With Coronavirus Disease 2019 in Wuhan, China: A Single-Centered, Retrospective, Observational Study #MMPMID32897668 Liu FY; Sun XL; Zhang Y; Ge L; Wang J; Liang X; Li JF; Wang CL; Xing ZT; Chhetri JK; Sun P; Chan P Crit Care Med 2020[Nov]; 48 (11): e1004-e1011 PMID32897668show ga OBJECTIVES: To evaluate and compare the efficacy of National Early Warning Score, National Early Warning Score 2, Rapid Emergency Medicine Score, Confusion, Respiratory rate, Blood pressure, Age 65 score, and quick Sepsis-related Organ Failure Assessment on predicting in-hospital death in patients with coronavirus disease 2019. DESIGN: A retrospective, observational study. SETTING: Single center, West Campus of Wuhan Union hospital-a temporary center to manage critically ill patients with coronavirus disease 2019. PATIENTS: A total of 673 consecutive adult patients with coronavirus disease 2019 between January 30, 2020, and March 14, 2020. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Data on demography, comorbidities, vital signs, mental status, oxygen saturation, and use of supplemental oxygen at admission to the ward were collected from medical records and used to score National Early Warning Score, National Early Warning Score 2, Rapid Emergency Medicine Score, Confusion, Respiratory rate, Blood pressure, Age 65 score, and quick Sepsis-related Organ Failure Assessment. Total number of patients was 673 (51% male) and median (interquartile range) age was 61 years (50-69 yr). One-hundred twenty-one patients died (18%). For predicting in-hospital death, the area under the receiver operating characteristics (95% CI) for National Early Warning Score, National Early Warning Score 2, Rapid Emergency Medicine Score, Confusion, Respiratory rate, Blood pressure, Age 65 score, and quick Sepsis-related Organ Failure Assessment were 0.882 (0.847-0.916), 0.880 (0.845-0.914), 0.839 (0.800-0.879), 0.766 (0.718-0.814), and 0.694 (0.641-0.746), respectively. Among the parameters of National Early Warning Score, the oxygen saturation score was found to be the most significant predictor of in-hospital death. The area under the receiver operating characteristic (95% CI) for oxygen saturation score was 0.875 (0.834-0.916). CONCLUSIONS: In this single-center study, the discrimination of National Early Warning Score/National Early Warning Score 2 for predicting mortality in patients with coronavirus disease 2019 admitted to the ward was found to be superior to Rapid Emergency Medicine Score, Confusion, Respiratory rate, Blood pressure, Age 65 score, and quick Sepsis-related Organ Failure Assessment. Peripheral oxygen saturation could independently predict in-hospital death in these patients. Further validation of our finding in multiple settings is needed to determine its applicability for coronavirus disease 2019. |*Betacoronavirus[MESH] |*Early Warning Score[MESH] |Aged[MESH] |Blood Pressure[MESH] |COVID-19[MESH] |Coronavirus Infections/*diagnosis/*mortality[MESH] |Critical Illness/*mortality[MESH] |Female[MESH] |Hospital Mortality[MESH] |Humans[MESH] |Intensive Care Units[MESH] |Male[MESH] |Middle Aged[MESH] |Organ Dysfunction Scores[MESH] |Pandemics[MESH] |Pneumonia, Viral/*diagnosis/*mortality[MESH] |Prognosis[MESH] |Retrospective Studies[MESH] |Risk Assessment[MESH]Evaluation of the Risk Prediction Tools for Patients With Coronavirus (epmc).pdf DeepDyve Pubget Overpricing