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  1. Article ; Online: The Age-AST-D Dimer (AAD) Regression Model Predicts Severe COVID-19 Disease

    Fátima Higuera-de-la-Tijera / Alfredo Servín-Caamaño / Daniel Reyes-Herrera / Argelia Flores-López / Enrique J. A. Robiou-Vivero / Felipe Martínez-Rivera / Victor Galindo-Hernández / Victor H. Rosales-Salyano / Catalina Casillas-Suárez / Oscar Chapa-Azuela / Alfonso Chávez-Morales / Billy Jiménez-Bobadilla / María L. Hernández-Medel / Benjamín Orozco-Zúñiga / Jed R. Zacarías-Ezzat / Santiago Camacho / José L. Pérez-Hernández

    Disease Markers, Vol

    2021  Volume 2021

    Abstract: Aim. Coronavirus disease (COVID-19) ranges from mild clinical phenotypes to life-threatening conditions like severe acute respiratory syndrome (SARS). It has been suggested that early liver injury in these patients could be a risk factor for poor outcome. ...

    Abstract Aim. Coronavirus disease (COVID-19) ranges from mild clinical phenotypes to life-threatening conditions like severe acute respiratory syndrome (SARS). It has been suggested that early liver injury in these patients could be a risk factor for poor outcome. We aimed to identify early biochemical predictive factors related to severe disease development with intensive care requirements in patients with COVID-19. Methods. Data from COVID-19 patients were collected at admission time to our hospital. Differential biochemical factors were identified between seriously ill patients requiring intensive care unit (ICU) admission (ICU patients) versus stable patients without the need for ICU admission (non-ICU patients). Multiple linear regression was applied, then a predictive model of severity called Age-AST-D dimer (AAD) was constructed (n=166) and validated (n=170). Results. Derivation cohort: from 166 patients included, there were 27 (16.3%) ICU patients that showed higher levels of liver injury markers (P<0.01) compared with non-ICU patients: alanine aminotrasnferase (ALT) 225.4±341.2 vs. 41.3±41.1, aspartate aminotransferase (AST) 325.3±382.4 vs. 52.8±47.1, lactic dehydrogenase (LDH) 764.6±401.9 vs. 461.0±185.6, D-dimer (DD) 7765±9109 vs. 1871±4146, and age 58.6±12.7 vs. 49.1±12.8. With these finding, a model called Age-AST-DD (AAD), with a cut-point of <2.75 (sensitivity=0.797 and specificity=0.391, c−statistic=0.74; 95%IC: 0.62-0.86, P<0.001), to predict the risk of need admission to ICU (OR=5.8; 95% CI: 2.2-15.4, P=0.001), was constructed. Validation cohort: in 170 different patients, the AAD model<2.75 (c−statistic=0.80 (95% CI: 0.70-0.91, P<0.001) adequately predicted the risk (OR=8.8, 95% CI: 3.4-22.6, P<0.001) to be admitted in the ICU (27 patients, 15.95%). Conclusions. The elevation of AST (a possible marker of early liver injury) along with DD and age efficiently predict early (at admission time) probability of ICU admission during the clinical course of COVID-19. The AAD model can improve ...
    Keywords Medicine (General) ; R5-920
    Subject code 610
    Language English
    Publishing date 2021-01-01T00:00:00Z
    Publisher Hindawi Limited
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: O-26 ASPARTATE AMINOTRANSFERASE, AGE AND D-DIMER IN COVID-19 PATIENTS

    Fátima Higuera-de la Tijera / Alfredo Servín-Caamaño / Daniel Reyes-Herrera / Argelia Flores-López / Enrique J.A. Robiou-Vivero / Felipe Martínez-Rivera / Victor Galindo-Hernández / Catalina Casillas-Suárez / Oscar Chapa-Azuela / Alfonso Chávez-Morales / Víctor Hugo Rosales-Salyano / Billy Jiménez-Bobadilla / María Luisa Hernández-Medel / Benjamín Orozco-Zúñiga / Jed Raful Zacarías-Ezzat / Santiago Camacho-Hernández / José Luis Pérez-Hernández

    Annals of Hepatology, Vol 24, Iss , Pp 100513- (2021)

    A USEFUL PROGNOSTIC MODEL

    2021  

    Abstract: Introduction: Some patients with SARSCov-2 infection develop severe disease (SARS); however, the factors associated with severity are not yet fully understood. Some reports indicate that liver injury may be a poor prognostic factor. Aim: To identify the ... ...

    Abstract Introduction: Some patients with SARSCov-2 infection develop severe disease (SARS); however, the factors associated with severity are not yet fully understood. Some reports indicate that liver injury may be a poor prognostic factor. Aim: To identify the biochemical factors related to the development of SARS with mechanical ventilation (MV) requirement in patients with SARSCov-2 and COVID-19. Methods Type of study: Observational. Cohort study. Procedure: Data from COVID-19 patients were collected at admission time to a tertiary care center. Differential factors were identified between seriously ill SARS+MV patients versus stable patients without MV. Transformation to the natural logarithm of significant variables was performed and multiple linear regression was applied, then a predictive model of severity called AAD (Age-AST-D dimer) was constructed. Results: 166 patients were included, 114(68.7%) men, mean age 50.6±13.3 years-old, 27(16.3%) developed SARS+MV. In the comparative analysis between those with SARS+MV versus stable patients without MV we found significant raises of ALT (225.4±341.2 vs. 41.3±41.1; P=0.003), AST 325.3±382.4 vs. 52.8±47.1; P=0.001), LDH (764.6±401.9 vs. 461.0±185.6; P=0.001), D dimer (7765±9109 vs. 1871±4146; P=0.003), age (58.6±12.7 vs. 49.1±12.8; P=0-001). The results of the regression are shown in the Table, where model 3 was the one that best explained the development of SARS+MV; with these variables was constructed the model called AAD, where: [AAD= 3.896 + ln(age)x-0.218 + ln(AST)x-0.185 + ln(DD)x0.070], where a value ≤ 2.75 had sensitivity=0.797 and 1-specificity= 0.391, AUROC=0.74 (95%CI: 0.62-0.86; P<0.0001), to predict the risk of developing SARS+MV (OR=5.8, 95%CI: 2.2-15.4; P=0.001). Conclusions: Elevation of AST (probable marker of liver damage) is an important predictor of progression to SARS, together with elevation of D-dimer and age early (at admission) and efficiently predict which patients will potentially require MV.
    Keywords Specialties of internal medicine ; RC581-951
    Subject code 610
    Language English
    Publishing date 2021-09-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

    More links

    Kategorien

    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

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