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10.1111/apt.13546 http://scihub22266oqcxt.onion/10.1111/apt.13546 C5094350!5094350 !26849527     free     free     free 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 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 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 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\26849527 .jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Aliment+Pharmacol+Ther 2016 ; 43 (6 ): 725-33 Nephropedia Template TP {{tp|p=26849527 |t=2016. Clostridium difficile associated risk of death score (CARDS): a novel severity score to predict mortality among hospitalised patients with C difficile infection |pdf=|usr=}}{{26849527 }} gab.com Text Clostridium difficile associated risk of death score (CARDS): a novel severity score to predict mortality among hospitalised patients with C difficile infection JO: Aliment Pharmacol Ther http://www.kidney.de/pget.php?&tw=1&pmid=26849527 #FOAvip BACKGROUND: Clostridium difficile infection (CDI) is a public health threat and associated with significant mortality. However, there is a paucity of objectively derived CDI severity scoring systems to predict mortality. AIM: To develop a novel CDI risk score to predict mortality entitled: Clostridium difficile associated risk of death score (CARDS). METHODS: We obtained data from the United States 2011 Nationwide Inpatient Sample (NIS) database. All CDI-associated hospitalisations were identified using discharge codes (ICD-9-CM, 008.45). Multivariate logistic regression was utilised to identify independent predictors of mortality. Clostridium difficile associated risk of death score was calculated by assigning a numeric weight to each parameter based on their odds ratio in the final logistic model. Predictive properties of model discrimination were assessed using the c-statistic and validated in an independent sample using the 2010 NIS database. RESULTS: We identified 77 776 hospitalisations, yielding an estimate of 374 747 cases with an associated diagnosis of CDI in the US, 8% of whom died in the hospital. The eight severity score predictors were identified on multivariate analysis: age, cardiopulmonary disease, malignancy, diabetes, inflammatory bowel disease, acute renal failure, liver disease and ICU admission, with weights ranging from -1 (for diabetes) to 5 (for ICU admission). The overall risk score in the cohort ranged from 0 to 18. Mortality increased significantly as CARDS increased. CDI-associated mortality was 1.2% with a CARDS of 0 compared to 100% with CARDS of 18. The model performed equally well in our validation cohort. CONCLUSION: Clostridium difficile associated risk of death score is a promising simple severity score to predict mortality among those hospitalised with C. difficile infection. Twit Text FOAVip Clostridium difficile associated risk of death score (CARDS): a novel severity score to predict mortality among hospitalised patients with C difficile infection ????Aliment Pharmacol Ther http://www.kidney.de/pget.php?&tw=1&pmid=26849527 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26849527 #FOAvip English Wikipedia <ref>{{Cite pmid|26849527 }}</ref> Clostridium difficile associated risk of death score (CARDS): a novel severity score to predict mortality among hospitalised patients with C difficile infection #MMPMID26849527 Kassam Z ; Cribb Fabersunne C ; Smith MB ; Alm EJ ; Kaplan GG ; Nguyen GC ; Ananthakrishnan AN Aliment Pharmacol Ther 2016[Mar]; 43 (6 ): 725-33 PMID26849527 show ga BACKGROUND: Clostridium difficile infection (CDI) is a public health threat and associated with significant mortality. However, there is a paucity of objectively derived CDI severity scoring systems to predict mortality. AIM: To develop a novel CDI risk score to predict mortality entitled: Clostridium difficile associated risk of death score (CARDS). METHODS: We obtained data from the United States 2011 Nationwide Inpatient Sample (NIS) database. All CDI-associated hospitalisations were identified using discharge codes (ICD-9-CM, 008.45). Multivariate logistic regression was utilised to identify independent predictors of mortality. Clostridium difficile associated risk of death score was calculated by assigning a numeric weight to each parameter based on their odds ratio in the final logistic model. Predictive properties of model discrimination were assessed using the c-statistic and validated in an independent sample using the 2010 NIS database. RESULTS: We identified 77 776 hospitalisations, yielding an estimate of 374 747 cases with an associated diagnosis of CDI in the US, 8% of whom died in the hospital. The eight severity score predictors were identified on multivariate analysis: age, cardiopulmonary disease, malignancy, diabetes, inflammatory bowel disease, acute renal failure, liver disease and ICU admission, with weights ranging from -1 (for diabetes) to 5 (for ICU admission). The overall risk score in the cohort ranged from 0 to 18. Mortality increased significantly as CARDS increased. CDI-associated mortality was 1.2% with a CARDS of 0 compared to 100% with CARDS of 18. The model performed equally well in our validation cohort. CONCLUSION: Clostridium difficile associated risk of death score is a promising simple severity score to predict mortality among those hospitalised with C. difficile infection. |*Clostridioides difficile [MESH] |*Health Status Indicators [MESH] |Adolescent [MESH] |Adult [MESH] |Age Factors [MESH] |Aged [MESH] |Aged, 80 and over [MESH] |Clostridium Infections/*mortality [MESH] |Comorbidity [MESH] |Female [MESH] |Hospitalization [MESH] |Humans [MESH] |Inpatients [MESH] |Logistic Models [MESH] |Male [MESH] |Middle Aged [MESH] |Multivariate Analysis [MESH] |Odds Ratio [MESH] |Socioeconomic Factors [MESH] |United States [MESH]Clostridium difficile associated risk of death score (CARDS): a novel (epmc).pdf DeepDyve Pubget Overpricing