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10.1136/bmjopen-2020-041989 http://scihub22266oqcxt.onion/10.1136/bmjopen-2020-041989 33184086!7662142!33184086     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 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       BMJ+Open 2020 ; 10 (11): e041989 Nephropedia Template TP {{tp|p=33184086|t=2020. Fibrosis-4 index as a predictor for mortality in hospitalised patients with COVID-19: a retrospective multicentre cohort study |pdf=|usr=}}{{33184086}} gab.com Text Fibrosis-4 index as a predictor for mortality in hospitalised patients with COVID-19: a retrospective multicentre cohort study JO: BMJ Open http://www.kidney.de/pget.php?&tw=1&pmid=33184086 #FOAvip OBJECTIVE: The reliable risk factors for mortality of COVID-19 has not evaluated in well-characterised cohort. This study aimed to identify risk factors for in-hospital mortality within 56 days in patients with severe infection of COVID-19. DESIGN: Retrospective multicentre cohort study. SETTING: Five tertiary hospitals of Daegu, South Korea. PARTICIPANTS: 1005 participants over 19 years old confirmed COVID-19 using real-time PCR from nasopharyngeal and oropharyngeal swabs. METHODS: The clinical and laboratory features of patients with COVID-19 receiving respiratory support were analysed to ascertain the risk factors for mortality using the Cox proportional hazards regression model. The relationship between overall survival and risk factors was analysed using the Kaplan-Meier method. OUTCOME: In-hospital mortality for any reason within 56 days. RESULTS: Of the 1005 patients, 289 (28.8%) received respiratory support, and of these, 70 patients (24.2%) died. In multivariate analysis, high fibrosis-4 index (FIB-4; HR 2.784), low lymphocyte count (HR 0.480), diabetes (HR 1.917) and systemic inflammatory response syndrome (HR 1.714) were found to be independent risk factors for mortality in patients with COVID-19 receiving respiratory support (all p<0.05). Regardless of respiratory support, survival in the high FIB-4 group was significantly lower than in the low FIB-4 group (28.8 days vs 44.0 days, respectively, p<0.001). A number of risk factors were also significantly related to survival in patients with COVID-19 regardless of respiratory support (0-4 risk factors, 50.2 days; 49.7 days; 44.4 days; 32.0 days; 25.0 days, respectively, p<0.001). CONCLUSION: FIB-4 index is a useful predictive marker for mortality in patients with COVID-19 regardless of its severity. Twit Text FOAVip Fibrosis-4 index as a predictor for mortality in hospitalised patients with COVID-19: a retrospective multicentre cohort study ????BMJ Open http://www.kidney.de/pget.php?&tw=1&pmid=33184086 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33184086 #FOAvip English Wikipedia <ref>{{Cite pmid|33184086}}</ref> Fibrosis-4 index as a predictor for mortality in hospitalised patients with COVID-19: a retrospective multicentre cohort study #MMPMID33184086 Park JG; Kang MK; Lee YR; Song JE; Kim NY; Kweon YO; Tak WY; Jang SY; Lee C; Kim BS; Hwang JS; Jang BK; Bae J; Lee JY; Suh JI; Park SY; Chung WJ BMJ Open 2020[Nov]; 10 (11): e041989 PMID33184086show ga OBJECTIVE: The reliable risk factors for mortality of COVID-19 has not evaluated in well-characterised cohort. This study aimed to identify risk factors for in-hospital mortality within 56 days in patients with severe infection of COVID-19. DESIGN: Retrospective multicentre cohort study. SETTING: Five tertiary hospitals of Daegu, South Korea. PARTICIPANTS: 1005 participants over 19 years old confirmed COVID-19 using real-time PCR from nasopharyngeal and oropharyngeal swabs. METHODS: The clinical and laboratory features of patients with COVID-19 receiving respiratory support were analysed to ascertain the risk factors for mortality using the Cox proportional hazards regression model. The relationship between overall survival and risk factors was analysed using the Kaplan-Meier method. OUTCOME: In-hospital mortality for any reason within 56 days. RESULTS: Of the 1005 patients, 289 (28.8%) received respiratory support, and of these, 70 patients (24.2%) died. In multivariate analysis, high fibrosis-4 index (FIB-4; HR 2.784), low lymphocyte count (HR 0.480), diabetes (HR 1.917) and systemic inflammatory response syndrome (HR 1.714) were found to be independent risk factors for mortality in patients with COVID-19 receiving respiratory support (all p<0.05). Regardless of respiratory support, survival in the high FIB-4 group was significantly lower than in the low FIB-4 group (28.8 days vs 44.0 days, respectively, p<0.001). A number of risk factors were also significantly related to survival in patients with COVID-19 regardless of respiratory support (0-4 risk factors, 50.2 days; 49.7 days; 44.4 days; 32.0 days; 25.0 days, respectively, p<0.001). CONCLUSION: FIB-4 index is a useful predictive marker for mortality in patients with COVID-19 regardless of its severity. |*Age Factors[MESH] |*Hospital Mortality[MESH] |*Platelet Count[MESH] |Aged[MESH] |Aged, 80 and over[MESH] |Alanine Transaminase/*blood[MESH] |Antiviral Agents/therapeutic use[MESH] |Aspartate Aminotransferases/*blood[MESH] |Betacoronavirus[MESH] |COVID-19[MESH] |Cohort Studies[MESH] |Coronavirus Infections/*blood/immunology/mortality/therapy[MESH] |Diabetes Mellitus/epidemiology[MESH] |Female[MESH] |Humans[MESH] |Immunologic Factors/therapeutic use[MESH] |Lymphopenia/*blood[MESH] |Male[MESH] |Middle Aged[MESH] |Pandemics[MESH] |Pneumonia, Viral/*blood/immunology/mortality/therapy[MESH] |Proportional Hazards Models[MESH] |Republic of Korea[MESH] |Respiration, Artificial[MESH] |Retrospective Studies[MESH] |Risk Assessment[MESH] |SARS-CoV-2[MESH]Fibrosis-4 index as a predictor for mortality in hospitalised patients(epmc).pdf DeepDyve Pubget Overpricing