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  1. Article ; Online: Synergistic impact of N-antigenemia profiled by a rapid antigen test and low anti-S1 antibodies on the risk of hospitalization in COVID-19.

    de la Fuente, Amanda / Postigo, Tamara / Sanus Ferri, Francisco / Domínguez-Gil, Marta / Álvarez-Manzanares, Jesús / Eiros, Jose María / Carbajosa Rodríguez, Virginia / Sanchez Ramon, Susana / Ortega, Alicia / Fadrique Millán, Laura N / Vaquero-Roncero, Luis Mario / Esteban-Velasco, Carmen / Navarro-Matías, Elena / Barbé, Ferran / Bermejo-Martin, Jesús F / Lopez-Izquierdo, Raul

    International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases

    2024  Volume 140, Page(s) 132–135

    Abstract: Objectives: Identifying patients with COVID-19 who are at risk of poor evolution is key to early decide on their hospitalization. We evaluated the combined impact of nucleocapsid (N)-antigenemia profiled by a rapid test and antibodies against the S1 ... ...

    Abstract Objectives: Identifying patients with COVID-19 who are at risk of poor evolution is key to early decide on their hospitalization. We evaluated the combined impact of nucleocapsid (N)-antigenemia profiled by a rapid test and antibodies against the S1 subunit of the SARS-CoV S protein (S1) on the hospitalization risk of patients with COVID-19.
    Methods: N-antigenemia and anti-S1 antibodies were profiled at admission to the emergency department in 146 patients with COVID-19 using the Panbio® antigen Rapid Test and the SARS-CoV-2 immunoglobulin G II Quant/SARS-CoV-2 immunoglobulin G assay from Abbott. A multivariable analysis was used to evaluate the impact of these factors on hospitalization.
    Results: Patients with a positive N-antigen test in plasma and anti-S1 levels <2821 arbitrary units/mL needed hospitalization more frequently (20 of 23, 87%). A total of 20 of 71 (28.2%) of those showing a negative N-antigen test and anti-S1 ≥2821 arbitrary units/mL were hospitalized for 18 of 52 (34.6%) of the patients with only one of these conditions. Patients with a positive N-antigen test and low antibody levels showed an odds ratio, 95% confidence interval, and P-value for hospitalization of 18.21, 2.74-121.18, and 0.003, respectively, and exhibited the highest mortality (30.4%).
    Conclusions: Simultaneous profiling of a rapid N-antigen test in plasma and anti-S1 levels could help to early identify patients with COVID-19 needing hospitalization.
    MeSH term(s) Humans ; COVID-19/diagnosis ; SARS-CoV-2 ; Antibodies, Viral ; Immunoglobulin G ; Hospitalization
    Chemical Substances Antibodies, Viral ; Immunoglobulin G
    Language English
    Publishing date 2024-02-02
    Publishing country Canada
    Document type Journal Article
    ZDB-ID 1331197-9
    ISSN 1878-3511 ; 1201-9712
    ISSN (online) 1878-3511
    ISSN 1201-9712
    DOI 10.1016/j.ijid.2024.01.018
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 4516: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (2.OG)
    ab Jg. 2022: Lesesaal (EG)

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  2. Article ; Online: A blood microRNA classifier for the prediction of ICU mortality in COVID-19 patients: a multicenter validation study.

    de Gonzalo-Calvo, David / Molinero, Marta / Benítez, Iván D / Perez-Pons, Manel / García-Mateo, Nadia / Ortega, Alicia / Postigo, Tamara / García-Hidalgo, María C / Belmonte, Thalia / Rodríguez-Muñoz, Carlos / González, Jessica / Torres, Gerard / Gort-Paniello, Clara / Moncusí-Moix, Anna / Estella, Ángel / Tamayo Lomas, Luis / Martínez de la Gándara, Amalia / Socias, Lorenzo / Peñasco, Yhivian /
    de la Torre, Maria Del Carmen / Bustamante-Munguira, Elena / Gallego Curto, Elena / Martínez Varela, Ignacio / Martin Delgado, María Cruz / Vidal-Cortés, Pablo / López Messa, Juan / Pérez-García, Felipe / Caballero, Jesús / Añón, José M / Loza-Vázquez, Ana / Carbonell, Nieves / Marin-Corral, Judith / Jorge García, Ruth Noemí / Barberà, Carmen / Ceccato, Adrián / Fernández-Barat, Laia / Ferrer, Ricard / Garcia-Gasulla, Dario / Lorente-Balanza, Jose Ángel / Menéndez, Rosario / Motos, Ana / Peñuelas, Oscar / Riera, Jordi / Bermejo-Martin, Jesús F / Torres, Antoni / Barbé, Ferran

    Respiratory research

    2023  Volume 24, Issue 1, Page(s) 159

    Abstract: Background: The identification of critically ill COVID-19 patients at risk of fatal outcomes remains a challenge. Here, we first validated candidate microRNAs (miRNAs) as biomarkers for clinical decision-making in critically ill patients. Second, we ... ...

    Abstract Background: The identification of critically ill COVID-19 patients at risk of fatal outcomes remains a challenge. Here, we first validated candidate microRNAs (miRNAs) as biomarkers for clinical decision-making in critically ill patients. Second, we constructed a blood miRNA classifier for the early prediction of adverse outcomes in the ICU.
    Methods: This was a multicenter, observational and retrospective/prospective study including 503 critically ill patients admitted to the ICU from 19 hospitals. qPCR assays were performed in plasma samples collected within the first 48 h upon admission. A 16-miRNA panel was designed based on recently published data from our group.
    Results: Nine miRNAs were validated as biomarkers of all-cause in-ICU mortality in the independent cohort of critically ill patients (FDR < 0.05). Cox regression analysis revealed that low expression levels of eight miRNAs were associated with a higher risk of death (HR from 1.56 to 2.61). LASSO regression for variable selection was used to construct a miRNA classifier. A 4-blood miRNA signature composed of miR-16-5p, miR-192-5p, miR-323a-3p and miR-451a predicts the risk of all-cause in-ICU mortality (HR 2.5). Kaplan‒Meier analysis confirmed these findings. The miRNA signature provides a significant increase in the prognostic capacity of conventional scores, APACHE-II (C-index 0.71, DeLong test p-value 0.055) and SOFA (C-index 0.67, DeLong test p-value 0.001), and a risk model based on clinical predictors (C-index 0.74, DeLong test-p-value 0.035). For 28-day and 90-day mortality, the classifier also improved the prognostic value of APACHE-II, SOFA and the clinical model. The association between the classifier and mortality persisted even after multivariable adjustment. The functional analysis reported biological pathways involved in SARS-CoV infection and inflammatory, fibrotic and transcriptional pathways.
    Conclusions: A blood miRNA classifier improves the early prediction of fatal outcomes in critically ill COVID-19 patients.
    MeSH term(s) Humans ; MicroRNAs/genetics ; MicroRNAs/metabolism ; Prospective Studies ; Retrospective Studies ; COVID-19/diagnosis ; COVID-19/genetics ; Critical Illness ; Biomarkers ; Intensive Care Units
    Chemical Substances MicroRNAs ; Biomarkers
    Language English
    Publishing date 2023-06-17
    Publishing country England
    Document type Observational Study ; Multicenter Study ; Journal Article
    ZDB-ID 2041675-1
    ISSN 1465-993X ; 1465-993X
    ISSN (online) 1465-993X
    ISSN 1465-993X
    DOI 10.1186/s12931-023-02462-x
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: N-antigenemia detection by a rapid lateral flow test predicts 90-day mortality in COVID-19: A prospective cohort study.

    Almansa, Raquel / Eiros, Jose María / de Gonzalo-Calvo, David / Postigo, Tamara / Ortega, Alicia / Lopez-Izquierdo, Raul / Moncusí-Moix, Anna / Gort-Paniello, Clara / Dominguez-Gil, Marta / de la Fuente, Amanda / González-González, Laura / Luis-García, Tania / García-Mateo, Nadia / Tedim, Ana P / Rodríguez-Jara, Fátima / Jorge, Noelia / González, Jessica / Torres, Gerard / Gutiérrez-Pérez, Oliver Norberto /
    Villegas, Maria José / Campo, Sonia / Ayllon, Eva / Ruiz Albi, Tomás / de Frutos Arribas, Julio / Arroyo Domingo, Ainhoa / Abadia-Otero, Jesica / Gómez Barquero, Julia / Trapiello, Wysali / Garcia Frade, Luis Javier / Inglada, Luis / Del Campo, Felix / Bermejo-Martin, Jesús F / Barbé, Ferran / Torres, Antoni

    Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases

    2022  Volume 28, Issue 10, Page(s) 1391.e1–1391.e5

    Abstract: Objectives: To evaluate if the detection of N antigen of SARS-CoV-2 in plasma by a rapid lateral flow test predicts 90-day mortality in COVID-19 patients hospitalized at the wards.: Methods: The presence of N-antigenemia was evaluated in the first 36  ...

    Abstract Objectives: To evaluate if the detection of N antigen of SARS-CoV-2 in plasma by a rapid lateral flow test predicts 90-day mortality in COVID-19 patients hospitalized at the wards.
    Methods: The presence of N-antigenemia was evaluated in the first 36 hours after hospitalization in 600 unvaccinated COVID-19 patients, by using the Panbio COVID-19 Ag Rapid Test Device from Abbott (Abbott Laboratories Inc., Chicago, IL, USA). The impact of N-antigenemia on 90-day mortality was assessed by multivariable Cox regression analysis.
    Results: Prevalence of N-antigenemia at hospitalization was higher in nonsurvivors (69% (82/118) vs. 52% (250/482); p < 0.001). The patients with N-antigenemia showed more frequently RNAemia (45.7% (148/324) vs. 19.8% (51/257); p < 0.001), absence of anti-SARS-CoV-2 N antibodies (80.7% (264/327) vs. 26.6% (69/259); p < 0.001) and absence of S1 antibodies (73.4% (240/327) vs. 23.6% (61/259); p < 0.001). The patients with antigenemia showed more frequently acute respiratory distress syndrome (30.1% (100/332) vs. 18.7% (50/268); p = 0.001) and nosocomial infections (13.6% (45/331) vs. 7.9% (21/267); p = 0.026). N-antigenemia was a risk factor for increased 90-day mortality in the multivariable analysis (HR, 1.99 (95% CI,1.09-3.61), whereas the presence of anti-SARS-CoV-2 N-antibodies represented a protective factor (HR, 0.47 (95% CI, 0.26-0.85).
    Discussion: The presence of N-antigenemia or the absence of anti-SARS-CoV-2 N-antibodies after hospitalization is associated to increased 90-day mortality in unvaccinated COVID-19 patients. Detection of N-antigenemia by using lateral flow tests is a quick, widely available tool that could contribute to early identify those COVID-19 patients at risk of deterioration.
    MeSH term(s) Antibodies, Viral ; COVID-19/diagnosis ; COVID-19 Testing ; Humans ; Prospective Studies ; SARS-CoV-2
    Chemical Substances Antibodies, Viral
    Language English
    Publishing date 2022-05-30
    Publishing country England
    Document type Journal Article
    ZDB-ID 1328418-6
    ISSN 1469-0691 ; 1470-9465 ; 1198-743X
    ISSN (online) 1469-0691
    ISSN 1470-9465 ; 1198-743X
    DOI 10.1016/j.cmi.2022.05.023
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 4541: Show issues Location:
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    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (2.OG)
    ab Jg. 2022: Lesesaal (EG)
    Zs.MO 284: Show issues

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