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10.1186/s12879-020-05614-2 http://scihub22266oqcxt.onion/10.1186/s12879-020-05614-2 33256643!7702207!33256643     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       BMC+Infect+Dis 2020 ; 20 (1): 899 Nephropedia Template TP {{tp|p=33256643|t=2020. A nomogramic model based on clinical and laboratory parameters at admission for predicting the survival of COVID-19 patients |pdf=|usr=}}{{33256643}} gab.com Text A nomogramic model based on clinical and laboratory parameters at admission for predicting the survival of COVID-19 patients JO: BMC Infect Dis http://www.kidney.de/pget.php?&tw=1&pmid=33256643 #FOAvip BACKGROUND: COVID-19 has become a major global threat. The present study aimed to develop a nomogram model to predict the survival of COVID-19 patients based on their clinical and laboratory data at admission. METHODS: COVID-19 patients who were admitted at Hankou Hospital and Huoshenshan Hospital in Wuhan, China from January 12, 2020 to March 20, 2020, whose outcome during the hospitalization was known, were retrospectively reviewed. The categorical variables were compared using Pearson's chi(2)-test or Fisher's exact test, and continuous variables were analyzed using Student's t-test or Mann Whitney U-test, as appropriate. Then, variables with a P-value of </=0.1 were included in the log-binomial model, and merely these independent risk factors were used to establish the nomogram model. The discrimination of the nomogram was evaluated using the area under the receiver operating characteristic curve (AUC), and internally verified using the Bootstrap method. RESULTS: A total of 262 patients (134 surviving and 128 non-surviving patients) were included in the analysis. Seven variables, which included age (relative risk [RR]: 0.905, 95% confidence interval [CI]: 0.868-0.944; P < 0.001), chronic heart disease (CHD, RR: 0.045, 95% CI: 0.0097-0.205; P < 0.001, the percentage of lymphocytes (Lym%, RR: 1.125, 95% CI: 1.041-1.216; P = 0.0029), platelets (RR: 1.008, 95% CI: 1.003-1.012; P = 0.001), C-reaction protein (RR: 0.982, 95% CI: 0.973-0.991; P < 0.001), lactate dehydrogenase (LDH, RR: 0.993, 95% CI: 0.990-0.997; P < 0.001) and D-dimer (RR: 0.734, 95% CI: 0.617-0.879; P < 0.001), were identified as the independent risk factors. The nomogram model based on these factors exhibited a good discrimination, with an AUC of 0.948 (95% CI: 0.923-0.973). CONCLUSIONS: A nomogram based on age, CHD, Lym%, platelets, C-reaction protein, LDH and D-dimer was established to accurately predict the prognosis of COVID-19 patients. This can be used as an alerting tool for clinicians to take early intervention measures, when necessary. Twit Text FOAVip A nomogramic model based on clinical and laboratory parameters at admission for predicting the survival of COVID-19 patients ????BMC Infect Dis http://www.kidney.de/pget.php?&tw=1&pmid=33256643 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33256643 #FOAvip English Wikipedia <ref>{{Cite pmid|33256643}}</ref> A nomogramic model based on clinical and laboratory parameters at admission for predicting the survival of COVID-19 patients #MMPMID33256643 Ma X; Wang H; Huang J; Geng Y; Jiang S; Zhou Q; Chen X; Hu H; Li W; Zhou C; Gao X; Peng N; Deng Y BMC Infect Dis 2020[Nov]; 20 (1): 899 PMID33256643show ga BACKGROUND: COVID-19 has become a major global threat. The present study aimed to develop a nomogram model to predict the survival of COVID-19 patients based on their clinical and laboratory data at admission. METHODS: COVID-19 patients who were admitted at Hankou Hospital and Huoshenshan Hospital in Wuhan, China from January 12, 2020 to March 20, 2020, whose outcome during the hospitalization was known, were retrospectively reviewed. The categorical variables were compared using Pearson's chi(2)-test or Fisher's exact test, and continuous variables were analyzed using Student's t-test or Mann Whitney U-test, as appropriate. Then, variables with a P-value of |*Nomograms[MESH] |*Pandemics[MESH] |*Patient Admission[MESH] |Adult[MESH] |Aged[MESH] |Aged, 80 and over[MESH] |C-Reactive Protein/analysis[MESH] |COVID-19/blood/*epidemiology/*mortality/virology[MESH] |China/epidemiology[MESH] |Chronic Disease/epidemiology[MESH] |Comorbidity[MESH] |Female[MESH] |Fibrin Fibrinogen Degradation Products/analysis[MESH] |Heart Diseases/*epidemiology[MESH] |Humans[MESH] |Lymphocytes[MESH] |Male[MESH] |Middle Aged[MESH] |Prognosis[MESH] |ROC Curve[MESH] |Retrospective Studies[MESH] |Risk Assessment/methods[MESH] |Risk Factors[MESH] |SARS-CoV-2/*genetics[MESH]A nomogramic model based on clinical and laboratory parameters at admi(epmc).pdf DeepDyve Pubget Overpricing