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10.1016/j.amjcard.2020.08.040 http://scihub22266oqcxt.onion/10.1016/j.amjcard.2020.08.040 32861734!7453224!32861734     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       Am+J+Cardiol 2020 ; 135 (ä): 143-149 Nephropedia Template TP {{tp|p=32861734|t=2020. Assessment of the Modified CHA2DS2VASc Risk Score in Predicting Mortality in Patients Hospitalized With COVID-19 |pdf=|usr=}}{{32861734}} gab.com Text Assessment of the Modified CHA2DS2VASc Risk Score in Predicting Mortality in Patients Hospitalized With COVID-19 JO: Am J Cardiol http://www.kidney.de/pget.php?&tw=1&pmid=32861734 #FOAvip Since the modified CHA2DS2VASC (M-CHA2DS2VASc) risk score includes the prognostic risk factors for COVID-19; we assumed that it might predict in-hospital mortality and identify high-risk patients at an earlier stage compared with troponin increase and neutrophil-lymphocyte ratio (NLR). We aimed to investigate whether M-CHA2DS2VASC RS is an independent predictor of mortality in patients hospitalized with COVID-19 and to compare its discriminative ability with troponin increase and NLR in terms of predicting mortality. A total of 694 patients were retrospectively analyzed and divided into 3 groups according to M-CHA2DS2VASC RS which was simply created by changing gender criteria of the CHA2DS2VASC RS from female to male (Group 1, score 0-1 (n?=?289); group 2, score 2-3 (n?=?231) and group 3, score >/=4 (n?=?174)). Adverse clinical events were defined as in-hospital mortality, admission to intensive care unit, need for high-flow oxygen and/or intubation. As the M-CHA2DS2VASC RS increased, adverse clinical outcomes were also significantly increased (Group 1, 3.8%; group 2, 12.6%; group 3, 20.8%; p <0.001 for in-hospital mortality). The multivariate logistic regression analysis showed that M-CHA2DS2VASC RS, troponin increase and neutrophil-lymphocyte ratio were independent predictors of in-hospital mortality (p?=?0.005, odds ratio 1.29 per scale for M-CHA2DS2VASC RS). In receiver operating characteristic analysis, comparative discriminative ability of M-CHA2DS2VASC RS was superior to CHA2DS2VASC RS score. Area under the curve (AUC) values for in-hospital mortality was 0.70 and 0.64, respectively. (AUC(M-CHA2DS2-VASc) vs. AUC(CHA2DS2-VASc) z test?=?3.56, p 0.0004) In conclusion, admission M-CHA2DS2VASc RS may be a useful tool to predict in-hospital mortality in patients with COVID-19. Twit Text FOAVip Assessment of the Modified CHA2DS2VASc Risk Score in Predicting Mortality in Patients Hospitalized With COVID-19 ????Am J Cardiol http://www.kidney.de/pget.php?&tw=1&pmid=32861734 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32861734 #FOAvip English Wikipedia <ref>{{Cite pmid|32861734}}</ref> Assessment of the Modified CHA2DS2VASc Risk Score in Predicting Mortality in Patients Hospitalized With COVID-19 #MMPMID32861734 Cetinkal G; Kocas BB; Ser OS; Kilci H; Keskin K; Ozcan SN; Verdi Y; Zeren MI; Demir T; Kilickesmez K Am J Cardiol 2020[Nov]; 135 (ä): 143-149 PMID32861734show ga Since the modified CHA2DS2VASC (M-CHA2DS2VASc) risk score includes the prognostic risk factors for COVID-19; we assumed that it might predict in-hospital mortality and identify high-risk patients at an earlier stage compared with troponin increase and neutrophil-lymphocyte ratio (NLR). We aimed to investigate whether M-CHA2DS2VASC RS is an independent predictor of mortality in patients hospitalized with COVID-19 and to compare its discriminative ability with troponin increase and NLR in terms of predicting mortality. A total of 694 patients were retrospectively analyzed and divided into 3 groups according to M-CHA2DS2VASC RS which was simply created by changing gender criteria of the CHA2DS2VASC RS from female to male (Group 1, score 0-1 (n?=?289); group 2, score 2-3 (n?=?231) and group 3, score >/=4 (n?=?174)). Adverse clinical events were defined as in-hospital mortality, admission to intensive care unit, need for high-flow oxygen and/or intubation. As the M-CHA2DS2VASC RS increased, adverse clinical outcomes were also significantly increased (Group 1, 3.8%; group 2, 12.6%; group 3, 20.8%; p <0.001 for in-hospital mortality). The multivariate logistic regression analysis showed that M-CHA2DS2VASC RS, troponin increase and neutrophil-lymphocyte ratio were independent predictors of in-hospital mortality (p?=?0.005, odds ratio 1.29 per scale for M-CHA2DS2VASC RS). In receiver operating characteristic analysis, comparative discriminative ability of M-CHA2DS2VASC RS was superior to CHA2DS2VASC RS score. Area under the curve (AUC) values for in-hospital mortality was 0.70 and 0.64, respectively. (AUC(M-CHA2DS2-VASc) vs. AUC(CHA2DS2-VASc) z test?=?3.56, p 0.0004) In conclusion, admission M-CHA2DS2VASc RS may be a useful tool to predict in-hospital mortality in patients with COVID-19. |*Cause of Death[MESH] |*Severity of Illness Index[MESH] |Adult[MESH] |Aged[MESH] |COVID-19[MESH] |Cohort Studies[MESH] |Coronavirus Infections/*diagnosis/*mortality[MESH] |Female[MESH] |Heart Failure/diagnosis/mortality[MESH] |Hospitalization/statistics & numerical data[MESH] |Humans[MESH] |Hypertension/diagnosis/epidemiology[MESH] |Male[MESH] |Middle Aged[MESH] |Pandemics[MESH] |Pneumonia, Viral/*diagnosis/*mortality[MESH] |Predictive Value of Tests[MESH] |Pulmonary Disease, Chronic Obstructive/diagnosis/mortality[MESH] |ROC Curve[MESH] |Retrospective Studies[MESH] |Risk Assessment[MESH] |Severe Acute Respiratory Syndrome/diagnosis/*mortality[MESH] |Survival Analysis[MESH]Assessment of the Modified CHA2DS2VASc Risk Score in Predicting Mortal(epmc).pdf DeepDyve Pubget Overpricing