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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.
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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):
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