{ "biomarker_id": "AN6373-1", "biomarker_canonical_id": "AN6373", "condition": { "recommended_name": { "id": "DOID:0080600", "resource": "Disease Ontology", "url": "https://disease-ontology.org/term/DOID:0080600", "name": "COVID-19", "description": "A Coronavirus infectious disease that is characterized by fever, cough and shortness of breath and that has_material_basis_in Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), a subtype of Betacoronavirus pandemicum." }, "synonyms": [ { "id": "DOID:0080600", "resource": "Disease Ontology", "url": "https://disease-ontology.org/term/DOID:0080600", "name": "2019 Novel Coronavirus (2019-nCoV)", "description": "" }, { "id": "DOID:0080600", "resource": "Disease Ontology", "url": "https://disease-ontology.org/term/DOID:0080600", "name": "2019-nCoV infection", "description": "" }, { "id": "DOID:0080600", "resource": "Disease Ontology", "url": "https://disease-ontology.org/term/DOID:0080600", "name": "COVID19", "description": "" }, { "id": "DOID:0080600", "resource": "Disease Ontology", "url": "https://disease-ontology.org/term/DOID:0080600", "name": "SARS-CoV-2 infection", "description": "" }, { "id": "MONDO:0100096", "resource": "MONDO", "url": "https://monarchinitiative.org/disease/MONDO:0100096", "name": "COVID-19", "description": "A disease caused by infection with severe acute respiratory syndrome coronavirus 2." }, { "id": "MONDO:0100096", "resource": "MONDO", "url": "https://monarchinitiative.org/disease/MONDO:0100096", "name": "2019 novel coronavirus infection", "description": "" }, { "id": "MONDO:0100096", "resource": "MONDO", "url": "https://monarchinitiative.org/disease/MONDO:0100096", "name": "2019-nCoV infection", "description": "" }, { "id": "MONDO:0100096", "resource": "MONDO", "url": "https://monarchinitiative.org/disease/MONDO:0100096", "name": "coronavirus disease 2019", "description": "" }, { "id": "MONDO:0100096", "resource": "MONDO", "url": "https://monarchinitiative.org/disease/MONDO:0100096", "name": "severe acute respiratory syndrome coronavirus 2 infectious disease", "description": "" }, { "id": "MONDO:0100096", "resource": "MONDO", "url": "https://monarchinitiative.org/disease/MONDO:0100096", "name": "2019 novel coronavirus", "description": "" }, { "id": "MONDO:0100096", "resource": "MONDO", "url": "https://monarchinitiative.org/disease/MONDO:0100096", "name": "2019-nCoV", "description": "" }, { "id": "MONDO:0100096", "resource": "MONDO", "url": "https://monarchinitiative.org/disease/MONDO:0100096", "name": "SARS-CoV-2", "description": "" }, { "id": "MONDO:0100096", "resource": "MONDO", "url": "https://monarchinitiative.org/disease/MONDO:0100096", "name": "SARS-coronavirus 2", "description": "" }, { "id": "MONDO:0100096", "resource": "MONDO", "url": "https://monarchinitiative.org/disease/MONDO:0100096", "name": "beta-CoV", "description": "" }, { "id": "MONDO:0100096", "resource": "MONDO", "url": "https://monarchinitiative.org/disease/MONDO:0100096", "name": "beta-CoVs", "description": "" }, { "id": "MONDO:0100096", "resource": "MONDO", "url": "https://monarchinitiative.org/disease/MONDO:0100096", "name": "betacoronavirus", "description": "" }, { "id": "MONDO:0100096", "resource": "MONDO", "url": "https://monarchinitiative.org/disease/MONDO:0100096", "name": "severe acute respiratory syndrome coronavirus 2", "description": "" }, { "id": "MONDO:0100096", "resource": "MONDO", "url": "https://monarchinitiative.org/disease/MONDO:0100096", "name": "-CoV", "description": "" }, { "id": "MONDO:0100096", "resource": "MONDO", "url": "https://monarchinitiative.org/disease/MONDO:0100096", "name": "-CoVs", "description": "" }, { "id": "MONDO:0100096", "resource": "MONDO", "url": "https://monarchinitiative.org/disease/MONDO:0100096", "name": "-coronavirus", "description": "" } ], "id": "DOID:0080600" }, "biomarker_component": [ { "biomarker": "increased TNNI3 level", "assessed_biomarker_entity_id": "P19429-1", "assessed_entity_type": "protein", "assessed_biomarker_entity": { "recommended_name": "Troponin I, cardiac muscle", "synonyms": [ { "synonym": "Cardiac troponin I" } ] }, "specimen": [ { "name": "blood", "namespace": "UBERON", "id": "0000178", "url": "http://purl.obolibrary.org/obo/UBERON_0000178", "loinc_code": "10839-9" } ], "evidence_source": [ { "id": "AN6373-1", "database": "BiomarkerKB", "url": "https://biomarkerkb.org/biomarker/AN6373-1" }, { "id": "32169400", "database": "PubMed", "url": "https://glygen.org/publication/PubMed/32169400", "tags": [ "assessed_biomarker_entity", " assessed_biomarker_entity_id", " biomarker", " specimen" ], "evidence_list": [ { "evidence": "cTnI values are significantly increased in patients with severe SARS-CoV-2 infection compared to those with milder forms of disease. It is hence reasonable to hypothesize that initial measurement of cardiac damage biomarkers immediately after hospitalization for SARS-CoV-2 infection, as well as longitudinal monitoring during hospital stay, may help identifying a subset of patients with possible cardiac injury and thereby predict the progression of COVID-19 towards a worse clinical picture." } ] }, { "id": "32530509", "database": "PubMed", "url": "https://glygen.org/publication/PubMed/32530509", "tags": [ "assessed_biomarker_entity", " biomarker", " specimen" ], "evidence_list": [ { "evidence": "High troponin I levels with either advanced age more than 60 years or elevated AST levels was the best model to predict poor outcomes." } ] }, { "id": "32171076", "database": "PubMed", "url": "https://glygen.org/publication/PubMed/32171076", "tags": [ "assessed_biomarker_entity", " biomarker", " specimen" ], "evidence_list": [ { "evidence": "Age, comorbidities, lymphocytopenia and elevated alanine aminotransferase, d-dimer, creatine kinase, high-sensitivity cardiac troponin I, prothrombin time, and disease severity were reported to be associated with intensive care unit admission." } ] }, { "id": "32475810", "database": "PubMed", "url": "https://glygen.org/publication/PubMed/32475810", "tags": [ "assessed_biomarker_entity", " biomarker", " specimen" ], "evidence_list": [ { "evidence": "A retrospective study performed in China of patients with confirmed COVID-19 based on SARS-CoV-2 RNA detection, revealed a univariable odds ratio for death at 80.1 (95% CI 10.3-620.4, p<0.0001) for hs-TnI. Another study of 416 hospitalised patients with COVID-19 reported that hs-TnI was elevated in 1 in 5 patients on presentation." } ] }, { "id": "32251612", "database": "PubMed", "url": "https://glygen.org/publication/PubMed/32251612", "tags": [ "assessed_biomarker_entity", " biomarker", " specimen" ], "evidence_list": [ { "evidence": "In a cohort of 191 patients with confirmed COVID-19 based on SARS-CoV-2 RNA detection, the univariable odds ratio for death when high-sensitivity cardiac troponin I concentrations were above the 99th percentile upper reference limit was 80.1 (95% CI, 10.3-620.4; P<0.0001). This was higher than the odds ratios observed for all other biomarkers tested, including D-dimer and lymphocyte count." } ] }, { "id": "32596365", "database": "PubMed", "url": "https://glygen.org/publication/PubMed/32596365", "tags": [ "assessed_biomarker_entity", " biomarker", " specimen" ], "evidence_list": [ { "evidence": "The levels of laboratory cardiac markers, lactose dehydrogenase (LDH), creatine kinase (CK), creatinine kinase-muscle/brain activity (CK-MB), myoglobin (Mb), cardiac troponin I (cTnI), alpha-hydroxybutyrate dehydrogenase (\u03b1-HBDH), aspartate aminotransferase (AST), and N-terminal of the prohormone brain natriuretic peptide (NT-proBNP) increase in different proportions in patients with COVID-19 (see Table 1)." } ] }, { "id": "32209382", "database": "PubMed", "url": "https://glygen.org/publication/PubMed/32209382", "tags": [ "assessed_biomarker_entity", " biomarker", " specimen" ], "evidence_list": [ { "evidence": "This study reveals that the heart is also a major target of COVID-19 infection, and myocardial enzyme spectrum assays could help the diagnosis, prognosis and guide the treatments to prevent heart failure in COVID-19 patients. [DOI:https://doi.org/10.21203/rs.3.rs-23849/v1] We noted significantly increased cTnI, CK, HBDB and LDH levels in very severe group as compare to severe." } ] }, { "id": "32305557", "database": "PubMed", "url": "https://glygen.org/publication/PubMed/32305557", "tags": [ "assessed_biomarker_entity", " biomarker", " specimen" ], "evidence_list": [ { "evidence": "More severe COVID-19 infection is associated with higher mean troponin (SMD 0.53, 95% CI 0.30 to 0.75, p < 0.001), with a similar trend for creatine kinase-MB, myoglobin, and NT-proBNP.;|hsTnI and NT-proBNP levels increased during the course of hospitalization only in non-survivors." } ] } ] } ], "best_biomarker_role": [ { "role": "monitoring" } ], "evidence_source": [ { "id": "AN6373-1", "database": "BiomarkerKB", "url": "https://biomarkerkb.org/biomarker/AN6373-1" }, { "id": "32169400", "database": "PubMed", "url": "https://glygen.org/publication/PubMed/32169400", "tags": [ "best_biomarker_role", " condition" ], "evidence_list": [ { "evidence": "cTnI values are significantly increased in patients with severe SARS-CoV-2 infection compared to those with milder forms of disease. It is hence reasonable to hypothesize that initial measurement of cardiac damage biomarkers immediately after hospitalization for SARS-CoV-2 infection, as well as longitudinal monitoring during hospital stay, may help identifying a subset of patients with possible cardiac injury and thereby predict the progression of COVID-19 towards a worse clinical picture." } ] }, { "id": "32475810", "database": "PubMed", "url": "https://glygen.org/publication/PubMed/32475810", "tags": [ "best_biomarker_role", " condition" ], "evidence_list": [ { "evidence": "A retrospective study performed in China of patients with confirmed COVID-19 based on SARS-CoV-2 RNA detection, revealed a univariable odds ratio for death at 80.1 (95% CI 10.3-620.4, p<0.0001) for hs-TnI. Another study of 416 hospitalised patients with COVID-19 reported that hs-TnI was elevated in 1 in 5 patients on presentation." } ] }, { "id": "32251612", "database": "PubMed", "url": "https://glygen.org/publication/PubMed/32251612", "tags": [ "best_biomarker_role", " condition" ], "evidence_list": [ { "evidence": "In a cohort of 191 patients with confirmed COVID-19 based on SARS-CoV-2 RNA detection, the univariable odds ratio for death when high-sensitivity cardiac troponin I concentrations were above the 99th percentile upper reference limit was 80.1 (95% CI, 10.3-620.4; P<0.0001). This was higher than the odds ratios observed for all other biomarkers tested, including D-dimer and lymphocyte count." } ] }, { "id": "32596365", "database": "PubMed", "url": "https://glygen.org/publication/PubMed/32596365", "tags": [ "best_biomarker_role", " condition" ], "evidence_list": [ { "evidence": "The levels of laboratory cardiac markers, lactose dehydrogenase (LDH), creatine kinase (CK), creatinine kinase-muscle/brain activity (CK-MB), myoglobin (Mb), cardiac troponin I (cTnI), alpha-hydroxybutyrate dehydrogenase (\u03b1-HBDH), aspartate aminotransferase (AST), and N-terminal of the prohormone brain natriuretic peptide (NT-proBNP) increase in different proportions in patients with COVID-19 (see Table 1)." } ] }, { "id": "32209382", "database": "PubMed", "url": "https://glygen.org/publication/PubMed/32209382", "tags": [ "best_biomarker_role", " condition" ], "evidence_list": [ { "evidence": "This study reveals that the heart is also a major target of COVID-19 infection, and myocardial enzyme spectrum assays could help the diagnosis, prognosis and guide the treatments to prevent heart failure in COVID-19 patients. [DOI:https://doi.org/10.21203/rs.3.rs-23849/v1] We noted significantly increased cTnI, CK, HBDB and LDH levels in very severe group as compare to severe." } ] }, { "id": "32305557", "database": "PubMed", "url": "https://glygen.org/publication/PubMed/32305557", "tags": [ "best_biomarker_role", " condition" ], "evidence_list": [ { "evidence": "More severe COVID-19 infection is associated with higher mean troponin (SMD 0.53, 95% CI 0.30 to 0.75, p < 0.001), with a similar trend for creatine kinase-MB, myoglobin, and NT-proBNP.;|hsTnI and NT-proBNP levels increased during the course of hospitalization only in non-survivors." } ] }, { "id": "32589600", "database": "PubMed", "url": "https://glygen.org/publication/PubMed/32589600", "tags": [ "best_biomarker_role", " condition" ], "evidence_list": [ { "evidence": "Many biomarkers have been associated with poor outcomes and represent a candidate for risk stratification models for predicting severe COVID-19 in order to guide clinical care. Among all, lymphopenia, thrombocytopenia, leucocytosis, CRP, PCT, LDH, AST, ALT, D-dimer, cTn represent the most predictive parameters of severe COVID-19" } ] } ], "crossref": [ { "id": "AN6373-1", "database": "BiomarkerKB", "url": "https://biomarkerkb.org/biomarker/AN6373-1", "categories": [ "Biomarkers" ] } ], "citation": [ { "title": "Cardiac troponin I in patients with coronavirus disease 2019 (COVID-19): Evidence from a meta-analysis.", "journal": "Progress in cardiovascular diseases", "authors": "Lippi G, Lavie CJ, Sanchis-Gomar F", "date": "2020", "reference": [ { "type": "PubMed", "id": "32169400", "url": "https://glygen.org/publication/PubMed/32169400" } ], "evidence": [ { "id": "BB1524-1", "database": "BiomarkerKB", "url": "https://biomarkerkb.org/biomarker/AN6373-1" } ] }, { "title": "Association of cardiac biomarkers and comorbidities with increased mortality, severity, and cardiac injury in COVID-19 patients: A meta-regression and decision tree analysis.", "journal": "Journal of medical virology", "authors": "Toraih EA, Elshazli RM, Hussein MH, Elgaml A, Amin M, El-Mowafy M, El-Mesery M, Ellythy A, Duchesne J, Killackey MT, Ferdinand KC, Kandil E, Fawzy MS", "date": "2020", "reference": [ { "type": "PubMed", "id": "32530509", "url": "https://glygen.org/publication/PubMed/32530509" } ], "evidence": [ { "id": "AN6373-1", "database": "BiomarkerKB", "url": "https://biomarkerkb.org/biomarker/AN6373-1" } ] }, { "title": "Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study.", "journal": "Lancet (London, England)", "authors": "Zhou F, Yu T, Du R, Fan G, Liu Y, Liu Z, Xiang J, Wang Y, Song B, Gu X, Guan L, Wei Y, Li H, Wu X, Xu J, Tu S, Zhang Y, Chen H, Cao B", "date": "2020", "reference": [ { "type": "PubMed", "id": "32171076", "url": "https://glygen.org/publication/PubMed/32171076" } ], "evidence": [ { "id": "AN6373-1", "database": "BiomarkerKB", "url": "https://biomarkerkb.org/biomarker/AN6373-1" } ] }, { "title": "The role of biomarkers in diagnosis of COVID-19 - A systematic review.", "journal": "Life sciences", "authors": "Kermali M, Khalsa RK, Pillai K, Ismail Z, Harky A", "date": "2020", "reference": [ { "type": "PubMed", "id": "32475810", "url": "https://glygen.org/publication/PubMed/32475810" } ], "evidence": [ { "id": "AN6373-1", "database": "BiomarkerKB", "url": "https://biomarkerkb.org/biomarker/AN6373-1" } ] }, { "title": "High-Sensitivity Cardiac Troponin Can Be an Ally in the Fight Against COVID-19.", "journal": "Circulation", "authors": "Chapman AR, Bularga A, Mills NL", "date": "2020", "reference": [ { "type": "PubMed", "id": "32251612", "url": "https://glygen.org/publication/PubMed/32251612" } ], "evidence": [ { "id": "AN6373-1", "database": "BiomarkerKB", "url": "https://biomarkerkb.org/biomarker/AN6373-1" } ] }, { "title": "Changes of Laboratory Cardiac Markers and Mechanisms of Cardiac Injury in Coronavirus Disease 2019.", "journal": "BioMed research international", "authors": "Li Lin, Zhou Qi, Xu Jiancheng", "date": "2020", "reference": [ { "type": "PubMed", "id": "32596365", "url": "https://glygen.org/publication/PubMed/32596365" } ], "evidence": [ { "id": "AN6373-1", "database": "BiomarkerKB", "url": "https://biomarkerkb.org/biomarker/AN6373-1" } ] }, { "title": "The clinical characteristics of myocardial injury in severe and very severe patients with 2019 novel coronavirus disease.", "journal": "The Journal of infection", "authors": "Zhou B, She J, Wang Y, Ma X", "date": "2020", "reference": [ { "type": "PubMed", "id": "32209382", "url": "https://glygen.org/publication/PubMed/32209382" } ], "evidence": [ { "id": "AN6373-1", "database": "BiomarkerKB", "url": "https://biomarkerkb.org/biomarker/AN6373-1" } ] }, { "title": "The impact of 2019 novel coronavirus on heart injury: A Systematic review and Meta-analysis.", "journal": "Progress in cardiovascular diseases", "authors": "Li JW, Han TW, Woodward M, Anderson CS, Zhou H, Chen YD, Neal B", "date": "2020", "reference": [ { "type": "PubMed", "id": "32305557", "url": "https://glygen.org/publication/PubMed/32305557" } ], "evidence": [ { "id": "AN6373-1", "database": "BiomarkerKB", "url": "https://biomarkerkb.org/biomarker/AN6373-1" } ] }, { "title": "Biochemical biomarkers alterations in Coronavirus Disease 2019 (COVID-19).", "journal": "Diagnosis (Berlin, Germany)", "authors": "Ciaccio Marcello, Agnello Luisa", "date": "2020-11-18", "reference": [ { "type": "PubMed", "id": "32589600", "url": "https://glygen.org/publication/PubMed/32589600" } ], "evidence": [ { "id": "AN6373-1", "database": "BiomarkerKB", "url": "https://biomarkerkb.org/biomarker/AN6373-1" } ] } ], "section_stats": [ { "table_id": "biomarker_component", "table_stats": [ { "field": "total", "count": 1 } ], "sort_fields": [ "biomarker", "assessed_biomarker_entity_id", "assessed_entity_type", "assessed_biomarker_entity.recommended_name" ] }, { "table_id": "citation", "table_stats": [ { "field": "total", "count": 9 } ], "sort_fields": [ "title", "journal", "authors", "date" ] } ] }