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10.1007/s11605-020-04665-9 http://scihub22266oqcxt.onion/10.1007/s11605-020-04665-9 32495141!7269615!32495141     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 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 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 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 Deprecated: Implicit conversion from float 300.79999999999995 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 300.79999999999995 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\32495141.jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       J+Gastrointest+Surg 2021 ; 25 (1): 252-259 Nephropedia Template TP {{tp|p=32495141|t=2021. Development and Validation of a Clinical Risk Score for Intensive Care Resource Utilization After Colon Cancer Surgery: a Practical Guide to the Selection of Patients During COVID-19 |pdf=|usr=}}{{32495141}} gab.com Text Development and Validation of a Clinical Risk Score for Intensive Care Resource Utilization After Colon Cancer Surgery: a Practical Guide to the Selection of Patients During COVID-19 JO: J Gastrointest Surg http://www.kidney.de/pget.php?&tw=1&pmid=32495141 #FOAvip BACKGROUND: The purpose of this study was to develop and validate a prediction model and clinical risk score for Intensive Care Resource Utilization after colon cancer surgery. METHODS: Adult (>/= 18 years old) patients from the 2012 to 2018 ACS-NSQIP colectomy-targeted database who underwent elective colon cancer surgery were identified. A prediction model for 30-day postoperative Intensive Care Resource Utilization was developed and transformed into a clinical risk score based on the regression coefficients. Model performance was assessed using the area under the receiver operating characteristic curve (AUC) and Hosmer-Lemeshow goodness-of-fit test. The model was validated in a separate test set of similar patients. RESULTS: In total, 54,893 patients underwent an elective colon cancer resection, of which 1224 (2.2%) required postoperative Intensive Care Resource Utilization. The final prediction model retained six variables: age (>/= 70; OR 1.90, 95% CI 1.68-2.14), sex (male; OR 1.73, 95% CI 1.54-1.95), American Society of Anesthesiologists score (III/IV; OR 2.52, 95% CI 2.15-2.95), cardiorespiratory disease (yes; OR 2.22, 95% CI 1.94-2.53), functional status (dependent; OR 2.81, 95% CI 2.22-3.56), and operative approach (open surgery; OR 1.70, 95% CI 1.51-1.93). The model demonstrated good discrimination (AUC = 0.73). A clinical risk score was developed, and the risk of requiring postoperative Intensive Care Resource Utilization ranged from 0.03 (0 points) to 19.0% (8 points). The model performed well on test set validation (AUC = 0.73). CONCLUSION: A prediction model and clinical risk score for postoperative Intensive Care Resource Utilization after colon cancer surgery was developed and validated. Twit Text FOAVip Development and Validation of a Clinical Risk Score for Intensive Care Resource Utilization After Colon Cancer Surgery: a Practical Guide to the Selection of Patients During COVID-19 ????J Gastrointest Surg http://www.kidney.de/pget.php?&tw=1&pmid=32495141 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32495141 #FOAvip English Wikipedia <ref>{{Cite pmid|32495141}}</ref> Development and Validation of a Clinical Risk Score for Intensive Care Resource Utilization After Colon Cancer Surgery: a Practical Guide to the Selection of Patients During COVID-19 #MMPMID32495141 Garfinkle R; Abou-Khalil M; Salama E; Marinescu D; Pang A; Morin N; Demyttenaere S; Liberman AS; Vasilevsky CA; Boutros M J Gastrointest Surg 2021[Jan]; 25 (1): 252-259 PMID32495141show ga BACKGROUND: The purpose of this study was to develop and validate a prediction model and clinical risk score for Intensive Care Resource Utilization after colon cancer surgery. METHODS: Adult (>/= 18 years old) patients from the 2012 to 2018 ACS-NSQIP colectomy-targeted database who underwent elective colon cancer surgery were identified. A prediction model for 30-day postoperative Intensive Care Resource Utilization was developed and transformed into a clinical risk score based on the regression coefficients. Model performance was assessed using the area under the receiver operating characteristic curve (AUC) and Hosmer-Lemeshow goodness-of-fit test. The model was validated in a separate test set of similar patients. RESULTS: In total, 54,893 patients underwent an elective colon cancer resection, of which 1224 (2.2%) required postoperative Intensive Care Resource Utilization. The final prediction model retained six variables: age (>/= 70; OR 1.90, 95% CI 1.68-2.14), sex (male; OR 1.73, 95% CI 1.54-1.95), American Society of Anesthesiologists score (III/IV; OR 2.52, 95% CI 2.15-2.95), cardiorespiratory disease (yes; OR 2.22, 95% CI 1.94-2.53), functional status (dependent; OR 2.81, 95% CI 2.22-3.56), and operative approach (open surgery; OR 1.70, 95% CI 1.51-1.93). The model demonstrated good discrimination (AUC = 0.73). A clinical risk score was developed, and the risk of requiring postoperative Intensive Care Resource Utilization ranged from 0.03 (0 points) to 19.0% (8 points). The model performed well on test set validation (AUC = 0.73). CONCLUSION: A prediction model and clinical risk score for postoperative Intensive Care Resource Utilization after colon cancer surgery was developed and validated. |*COVID-19[MESH] |*Colectomy[MESH] |*Patient Selection[MESH] |Adult[MESH] |Age Factors[MESH] |Aged[MESH] |Clinical Decision Rules[MESH] |Colonic Neoplasms/pathology/*surgery[MESH] |Comorbidity[MESH] |Critical Care/*statistics & numerical data[MESH] |Databases, Factual[MESH] |Elective Surgical Procedures[MESH] |Female[MESH] |Humans[MESH] |Intensive Care Units/*statistics & numerical data[MESH] |Male[MESH] |Middle Aged[MESH] |Neoadjuvant Therapy[MESH] |Postoperative Complications/*epidemiology/therapy[MESH] |Proof of Concept Study[MESH] |ROC Curve[MESH] |Reproducibility of Results[MESH] |Risk Assessment[MESH] |Risk Factors[MESH] |SARS-CoV-2[MESH]Development and Validation of a Clinical Risk Score for Intensive Care(epmc).pdf DeepDyve Pubget Overpricing