About: 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

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About: 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 Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

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type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	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
Creator	Abou-Khalil, Maria Boutros, Marylise Demyttenaere, Sebastian Garfinkle, Richard Liberman, & Marinescu, Daniel Morin, Nancy Pang, Allison Salama, Ebram Vasilevsky, Carol-Ann
Source	Medline; PMC
abstract	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.
has issue date	2020-06-03(xsd:dateTime)
bibo:doi	10.1007/s11605-020-04665-9
bibo:pmid	32495141
has license	no-cc
sha1sum (hex)	6d6c2b34375d82bc28d9812e89539005d2afadf0
schema:url	https://doi.org/10.1007/s11605-020-04665-9
resource representing a document's title	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
has PubMed Central identifier	PMC7269615
has PubMed identifier	32495141
schema:publication	J Gastrointest Surg
resource representing a document's body	covid:6d6c2b34375d82bc28d9812e89539005d2afadf0#body_text
is schema:about of	named entity 'test set' named entity 'AUC' named entity 'regression coefficients' named entity 'score' named entity 'retained' named entity 'patients' named entity 'model' named entity 'Validation' named entity 'Surgery' named entity 'score' named entity 'Conclusion' named entity 'developed' named entity 'points' named entity 'receiver operating characteristic' named entity 'day' named entity 'model' named entity 'model' named entity 'sex' named entity 'open surgery' named entity 'Intensive Care' named entity 'model' named entity 'database' named entity 'receiver operating characteristic' named entity 'open surgery' named entity 'resection' named entity 'colon cancer surgery' named entity '95% CI' named entity 'database' named entity 'validation' named entity 'training set' named entity 'infection' named entity 'PUF' named entity 'colectomy' named entity 'ICRU' named entity 'Italy' named entity 'sensitivity analysis' named entity 'colon cancer' named entity 'COVID-19 pandemic' named entity 'ICRU' named entity 'ASA score' named entity 'COVID' named entity 'hypertension' named entity 'colon cancer surgery' named entity 'disseminated cancer' named entity 'colon cancer surgery' named entity 'ICU' named entity 'tumor' named entity 'chronic obstructive pulmonary disease' named entity 'comorbidities' named entity 'ICRU' named entity 'Jewish General Hospital' named entity 'neoadjuvant' named entity 'sensitivity analysis' named entity 'obesity' named entity 'hypertension' named entity 'septic shock' named entity 'MIS' named entity 'inclusion and exclusion criteria' named entity 'ICU' named entity 'colon cancer' named entity 'open surgery' named entity 'COVID' named entity 'tumors' named entity 'open surgery' named entity 'ICRU' named entity 'Colon cancer' named entity 'COVID-19 pandemic' named entity 'training set' named entity 'health status' named entity 'ICRU' named entity 'training set' named entity 'ICRU'

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