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10.26355/eurrev_202010_23250 http://scihub22266oqcxt.onion/10.26355/eurrev_202010_23250 33090437!ä!33090437 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 243.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 243.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 243.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 243.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 243.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 243.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Eur+Rev+Med+Pharmacol+Sci 2020 ; 24 (19): 10258-10266 Nephropedia Template TP {{tp|p=33090437|t=2020. Prediction of in-hospital mortality of patients with SARS-CoV-2 infection by comorbidity indexes: an Italian internal medicine single center study |pdf=|usr=}}{{33090437}} gab.com Text Prediction of in-hospital mortality of patients with SARS-CoV-2 infection by comorbidity indexes: an Italian internal medicine single center study JO: Eur Rev Med Pharmacol Sci http://www.kidney.de/pget.php?&tw=1&pmid=33090437 #FOAvip OBJECTIVE: Clinical outcomes in patients hospitalized for severe acute respiratory syndrome due to coronavirus (SARS-CoV-2) infection seems to be closely related with burden of comorbidities. A comorbidity score could help in clinical stratification of patients admitted to internal medicine units. Our aim was to assess a novel modified Elixhauser index (mEi) and the Charlson Comorbidity Index (CCI) for predicting in-hospital mortality (IHM) in internal medicine patients with SARS-CoV-2 infection. PATIENTS AND METHODS: This single-center retrospective study enrolled all consecutive patients discharged from internal medicine unit with confirmed SARS-CoV-2 infection. Both the mEi and CCI were easily calculated from administrative data. Comorbidity scores were tested using receiver operating characteristic (ROC) analysis, and the respective area under the curve (AUC). RESULTS: The total sample consisted of 151 individuals, and 30 (19.9%) died during their hospital stay. Deceased subjects were older (82.8+/-10.8 vs. 63.3+/-18.1 years; p<0.001) and had a higher burden of comorbidities: the mEi and CCI were 29.9+/-11 vs. 8.8+/-9.2 and 4.6+/-2.6 vs. 1.2+/-2 (p<0.001), respectively. Only the mEi was independently associated with IHM (OR 1.173), and ROC curves analysis showed that the AUCs were 0.863 and 0.918 for the CCI and for mEi, respectively. CONCLUSIONS: In patients admitted to internal medicine wards with SARS-CoV-2 infection, the mEi showed a better performance in predicting IHM than CCI. Twit Text FOAVip Prediction of in-hospital mortality of patients with SARS-CoV-2 infection by comorbidity indexes: an Italian internal medicine single center study ????Eur Rev Med Pharmacol Sci http://www.kidney.de/pget.php?&tw=1&pmid=33090437 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33090437 #FOAvip English Wikipedia <ref>{{Cite pmid|33090437}}</ref> Prediction of in-hospital mortality of patients with SARS-CoV-2 infection by comorbidity indexes: an Italian internal medicine single center study #MMPMID33090437 De Giorgi A; Fabbian F; Greco S; Di Simone E; De Giorgio R; Passaro A; Zuliani G; Manfredini R Eur Rev Med Pharmacol Sci 2020[Oct]; 24 (19): 10258-10266 PMID33090437show ga OBJECTIVE: Clinical outcomes in patients hospitalized for severe acute respiratory syndrome due to coronavirus (SARS-CoV-2) infection seems to be closely related with burden of comorbidities. A comorbidity score could help in clinical stratification of patients admitted to internal medicine units. Our aim was to assess a novel modified Elixhauser index (mEi) and the Charlson Comorbidity Index (CCI) for predicting in-hospital mortality (IHM) in internal medicine patients with SARS-CoV-2 infection. PATIENTS AND METHODS: This single-center retrospective study enrolled all consecutive patients discharged from internal medicine unit with confirmed SARS-CoV-2 infection. Both the mEi and CCI were easily calculated from administrative data. Comorbidity scores were tested using receiver operating characteristic (ROC) analysis, and the respective area under the curve (AUC). RESULTS: The total sample consisted of 151 individuals, and 30 (19.9%) died during their hospital stay. Deceased subjects were older (82.8+/-10.8 vs. 63.3+/-18.1 years; p<0.001) and had a higher burden of comorbidities: the mEi and CCI were 29.9+/-11 vs. 8.8+/-9.2 and 4.6+/-2.6 vs. 1.2+/-2 (p<0.001), respectively. Only the mEi was independently associated with IHM (OR 1.173), and ROC curves analysis showed that the AUCs were 0.863 and 0.918 for the CCI and for mEi, respectively. CONCLUSIONS: In patients admitted to internal medicine wards with SARS-CoV-2 infection, the mEi showed a better performance in predicting IHM than CCI. |*Health Status Indicators[MESH] |*Hospital Mortality[MESH] |Age Factors[MESH] |Aged[MESH] |Aged, 80 and over[MESH] |COVID-19/*mortality[MESH] |Comorbidity[MESH] |Female[MESH] |Humans[MESH] |Internal Medicine/*statistics & numerical data[MESH] |Italy/epidemiology[MESH] |Male[MESH] |Middle Aged[MESH] |Pandemics[MESH] |Retrospective Studies[MESH]Prediction of in-hospital mortality of patients with SARS-CoV-2 infect(epmc).pdf DeepDyve Pubget Overpricing