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10.1007/s11605-020-04665-9

http://scihub22266oqcxt.onion/10.1007/s11605-020-04665-9
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suck abstract from ncbi


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pmid32495141      J+Gastrointest+Surg 2021 ; 25 (1): 252-259
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  • 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]


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