About: DERIVATION OF A SCORE TO PREDICT ADMISSION TO INTENSIVE CARE UNIT IN PATIENTS WITH COVID-19: THE ABC-GOALS SCORE

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Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	DERIVATION OF A SCORE TO PREDICT ADMISSION TO INTENSIVE CARE UNIT IN PATIENTS WITH COVID-19: THE ABC-GOALS SCORE
Creator	Mexico, City, Mexico Zubirán, Nutrición Zubirán, Salvador Angélica Méndez-Pérez, R Córdova-Sánchez, Bertha Domínguez, Belisario Fernández-Camargo, Dheni Hernández-Gilsoul, Thierry Mejía-Vilet, Juan Morales Buenrostro, Luis Tlalpan, Vasco De Quiroga, Mexico Xvi, Sección
Source	MedRxiv
abstract	Background. COVID-19 pandemic poses a burden on hospital resources and intensive care unit (ICU) occupation. The study aimed to derive a scoring system that, assessed upon patient first-contact evaluation, predicts the need for admission to ICU. Methods. All consecutive patients admitted to a COVID-19 reference center were prospectively assessed. Patients were segregated into a group that required admission to ICU during their hospitalization and a group that never required ICU admission and was already discharged from hospitalization. Three models including clinical, laboratory and imaging findings were derived by logistic regression analysis and internally validated. A score, defined as the ABC-GOALS score was created by assigning values based on the variables weighted odd ratios. Results. The study comprised 329 patients, 115 (35%) required ICU admission and 214 (65%) were hospitalized and discharged from general wards. The clinical prediction model (ABC-GOALSc) included sex, obesity, the Charlson comorbidity index, dyspnea, arterial pressure and respiratory rate at triage evaluation. The clinical plus laboratory model (ABC-GOALScl) added serum albumin, glucose, lactate dehydrogenase and S/F ratio to the clinical model. The model that included imaging (ABC-GOALSclx) added the CT scan finding of >50% lung involvement. All three models outperformed other pneumonia-specific scores with area under the curve of 0.79 (0.74-0.83), 0.86 (0.82-0.90) and 0.88 (0.84-0.92) for the clinical, laboratory and imaging model, respectively. Conclusion. The ABC-GOALS score is a tool to evaluate patients with COVID-19 at admission to the emergency department that allows to timely predict their risk of admission to an ICU and may help optimize healthcare capacities.
has issue date	2020-05-16(xsd:dateTime)
bibo:doi	10.1101/2020.05.12.20099416
has license	medrxiv
sha1sum (hex)	828c01aae289528a15cbeb4b4434a0334362b054
schema:url	https://doi.org/10.1101/2020.05.12.20099416
resource representing a document's title	DERIVATION OF A SCORE TO PREDICT ADMISSION TO INTENSIVE CARE UNIT IN PATIENTS WITH COVID-19: THE ABC-GOALS SCORE
resource representing a document's body	covid:828c01aae289528a15cbeb4b4434a0334362b054#body_text
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