One Year Follow-ups of Patients Admitted to Spanish Intensive Care Units Due to COVID-19

Sponsor
Consorcio Centro de Investigación Biomédica en Red, M.P. (Other)
Overall Status
Completed
CT.gov ID
NCT04457505
Collaborator
Barcelona Supercomputing Center (Other), Carlos III Health Institute (Other)
8,500
31
19.8
274.2
13.9

Study Details

Study Description

Brief Summary

The latest epidemiological data published from Chine reports that up to 30% of hospital-admitted patients required admission to intensive care units (ICU). The cause for ICU admission for most patients is very severe respiratory failure; 80% of the patients present with severe acute respiratory distress syndrome (SARS) that requires protective mechanical ventilation.

Five percent of patients with SARS require extracorporeal circulation (ECMO) techniques. Global mortality data has been thus far reported in different individual publications from China. Without accounting for those patients still admitted to hospital, bona fide information (from a hospital in Wuhan) received by the PI of this project estimates that mortality of hospitalized patients is more than 10%. Evidently, mortality is concentrated in patients admitted to the ICU and those patients who require mechanical ventilation and present with SARS. As data in China was globally reported, risk factors and prognosis of patients with and without SARS who require mechanical ventilation are not definitively known. The efficacy of different treatments administered empirically or based on small, observation studies is also not known. With many still admitted at the time of publication, a recent study in JAMA about 1500 patients admitted to the ICU in the region of Lombardy (Italy) reported a crude mortality rate of 25%. The data published until the current date is merely observational, prospective or retrospective. Data has not been recorded by analysis performed with artificial intelligence (machine learning) in order to report much more personalized results. Furthermore, as it concerns patients admitted to the ICU who survive, respiratory and cardiovascular consequences, as well as quality of living are completely unknown.

The study further aims to investigate quality of life and different respiratory and cardiovascular outcomes at 6 months, as well as crude mortality within 1 year after discharge of patients with COVID-19 who survive following ICU admission. Lastly, with the objective to help personalize treatment in accordance with altered biological pathways in each patient, two types of studies will be performed: 1) epigenetics and 2) predictive enrichment of biomarkers in plasma.

Hypothesis

  • A significant percentage of patients (20%) admitted to the hospital with COVID-19 infection is expected to require ICU admission, and need mechanical ventilation (80%) and, in a minor percentage (5%), ECMO.

  • Patients who survive an acute episode during ICU hospitalization will have a yearly accumulated mortality of 40%. Those who then survive will have respiratory consequences, cardiovascular complications and poor quality of life (6 months).

Condition or Disease Intervention/Treatment Phase

    Detailed Description

    Objective and Purpose of Study

    1. The main objective is to determine risks factors and prognosis of patients with COVID-19 infection who have been admitted to Spanish ICUs between the beginning and end of the pandemic in Spain. Special attention will be placed on identifying differential expression of prognostic factors based on sex.

    2. The second objective is to perform a follow-up of patients within 6 months after discharge from ICU and hospital in order to determine mortality (including at 1-year mark), functional respiratory and cardiovascular consequences, and quality of life.

    3. The third objective is to perform an epigenetic study in cases, in which a blood sample can be drawn. The aim of such undertaking is to define molecular signatures in liquid biopsies that can provide information regarding prognosis, and treatment monitoring and response to therapy.

    4. Lastly, predictive ability of response to therapy and mortality will be assessed from a panel of protein biomarkers that participate in key physiological pathways of the disease's pathogenesis. This could, in turn, help select prospective treatments with greater potential of being successful in each patient.

    Principal and Secondary Variables

    1. Prior epidemiological data of the patient

    2. Biological and clinical data, including treatment administered upon hospital admission

    3. Biological and clinical data, including treatments administered upon and during ICU admission until either discharge from ICU or hospital, or death

    4. Specific data regarding artificial ventilation and ECMO since the beginning, as well as sequentially, from intubation to either extubation or death

    5. Biological and clinical data upon hospital discharge

    6. Clinical follow-up of patients who survive within 6 months, including: functional respiratory tests, echocardiograms and surveys regarding quality of life

    7. Intrahospital and intra-ICU mortality will be registered at 28- and 90-day marks, as well as within 6 months and 1 year

    8. 1000 blood samples will be drawn for the epigenetic study The molecular profile of a non-coding RNA (ncRNA), specifically the microRNA (miRNA) pattern in liquid biopsy, will be analyzed. A circulating miRNA signature is closer to the phenotype than genomic markers and can provide information regarding epigenetic regulation, cell activation, tissue repair, and metabolic processes in addition to that afforded by clinical predictors and classic risk factors. miRNAs offer appropriate biochemical properties that are highly stable; have a long half-life in biological samples used in clinical laboratories (serum/plasma); can be efficiently and relatively rapidly quantified with high sensitivity and specificity by RT-qPCR; and can serve as a profitable tool for the assessment of risks and disease control.

    All of these characteristics have led distinct authors to propose the clinical application of miRNA in either the short or medium term.

    The experimental design comprises two phases. In the first approximation, a screening of non-coding RNA (ncRNA) will be performed in a sub-population of patients (n=200). The number of samples surpasses the quantity recommended for this type of studies. (Schurch y cols., RNA, 2016). A quotation will be requested for the screening of ncRNA by HTG EdgeSeq miRNA Whole Transcriptome Assay system (HTG). Using next generation sequencing (NGS), this method allows for the quantification of 2083 human candidates. All of the procedure steps will be completed in suitable physical locations in accordance with code OP No. 0028. All of the samples will be prepared in accordance with code No. 0036.

    Screening results will be validated in the validation cohort (n=800) with RT-qPCR, a gold-standard technique. The budget includes material necessary for RNA extraction (miRNeasy Serum/Plasma isolation kits, Qiagen; spike-in; carrier RNA; consumables) and expression quantification of ncRNA in biofluids (RT-qPCR miRCURY LNA Universal RT microRNA PCR System kits, Qiagen; endogenous controls; consumables. Studies will be carried out at the TRRM Group facilities in the IRBLleida. The laboratory has the necessary team and material to isolate and quantify RNA, and store reagents and samples (cold stores, freezers of 20ºC and -80ºC).

    9.- For the study of prognostic biomarkers, concentration of biomarkers in plasma that are key to potentially useful drugs' mechanism of action in this disease will be assessed. This quantification could provide guidance on drug usage (lymphocyte count will be obtained from a blood count):

    Study Design

    Study Type:
    Observational [Patient Registry]
    Actual Enrollment :
    8500 participants
    Observational Model:
    Cohort
    Time Perspective:
    Prospective
    Official Title:
    Risk Factors, Personalized Prognoses and 1-year Follow-ups of Patients Admitted to Spanish Intensive Care Units Due to COVID-19
    Actual Study Start Date :
    May 8, 2020
    Actual Primary Completion Date :
    Sep 30, 2021
    Actual Study Completion Date :
    Dec 31, 2021

    Outcome Measures

    Primary Outcome Measures

    1. One year mortality [At 12 months of ICU admission]

      People who died after one year of follow up

    2. Six month mortality [At 6 month of ICU admission]

      People who died after one year of follow up

    Eligibility Criteria

    Criteria

    Ages Eligible for Study:
    N/A and Older
    Sexes Eligible for Study:
    All
    Accepts Healthy Volunteers:
    No
    Inclusion Criteria:
      1. Laboratory-confirmed COVID-19 infection with either real-time PCR or Next Generation Sequencing (NGS)
      1. Admission to intensive care unit
    Exclusion Criteria:
      1. Patients admitted to COVID-19-negative ICU

    Contacts and Locations

    Locations

    Site City State Country Postal Code
    1 Hospital Universitario Central de Asturias Oviedo Asturias Spain 30011
    2 Hospital Universitario de Bellvitge Hospitalet de Llobregat Barcelona Spain 08907
    3 Hospital de Mataró Mataró Barcelona Spain 08304
    4 Hospital General de Cataluña Sant Cugat Del Vallès Barcelona Spain 08195
    5 Hospital Infanta Margarita de Cabra Cabra Córdoba Spain 14940
    6 Hospital Universitario Lucus Augusti Lugo Galicia Spain 27003
    7 Hospital Son Llatzer Palma De Mallorca Mallorca Spain 07198
    8 Hospital Álvaro Cunqueiro Vigo Pontevedra Spain 36213
    9 Hospital Verge de la Cinta Tortosa Tarragona Spain 43500
    10 Hospital Universitario Sant Joan d'Alacant Alicante Spain 03550
    11 Clínica Sagrada Família Barcelona Spain 08022
    12 Hospital Sagrat Cor Barcelona Spain 08029
    13 Hospital Universitari Vall d'Hebron Barcelona Spain 08035
    14 Vall d'Hebron University Hospital, Barcelona Barcelona Spain 08035
    15 Hospital Clinic Barcelona Spain 08036
    16 Hospital Burgos Burgos Spain 09006
    17 Hospital San Pedro de Alcantara Cáceres Spain 10003
    18 Hospital de León León Spain 24008
    19 Hospital Arnau de Vilanova Lleida Lleida Spain 25198
    20 Hospital Infanta Leonor de Madrid Madrid Spain 28031
    21 Hospital Universitario La Paz Madrid Spain 28046
    22 Complexo Hospitalario Universitario de Ourense Ourense Spain 32005
    23 Complejo Asistencial Universitario de Palencia Palencia Spain 34005
    24 Hospital Montecelo Pontevedra Spain 36071
    25 Hospital Universitario Salamanca Salamanca Spain 37007
    26 Hospital Universitari Virgen de Valme Sevilla Spain 41014
    27 Hospital Universitari de Tarragona Joan XXIII Tarragona Spain 43005
    28 Hospital Clínic Universitari de València Valencia Spain 46010
    29 Hospital Universitari i Politècnic La Fe Valencia Spain 46026
    30 Hospital Universitario Valladolid Valladolid Spain 47003
    31 Hospital Nuestra Señora de Gracia Zaragoza Spain 50004

    Sponsors and Collaborators

    • Consorcio Centro de Investigación Biomédica en Red, M.P.
    • Barcelona Supercomputing Center
    • Carlos III Health Institute

    Investigators

    • Principal Investigator: Antoni Torres, PhD, Spanish Research Center for Respiratory Diseases

    Study Documents (Full-Text)

    None provided.

    More Information

    Publications

    None provided.
    Responsible Party:
    Consorcio Centro de Investigación Biomédica en Red, M.P.
    ClinicalTrials.gov Identifier:
    NCT04457505
    Other Study ID Numbers:
    • CIBERESUCICOVID
    First Posted:
    Jul 7, 2020
    Last Update Posted:
    Jul 21, 2022
    Last Verified:
    Jul 1, 2022
    Individual Participant Data (IPD) Sharing Statement:
    Yes
    Plan to Share IPD:
    Yes
    Studies a U.S. FDA-regulated Drug Product:
    No
    Studies a U.S. FDA-regulated Device Product:
    No
    Additional relevant MeSH terms:

    Study Results

    No Results Posted as of Jul 21, 2022