PMC:7558333 / 294-956 JSONTXT

{"project":"LitCovid-PD-FMA-UBERON","denotations":[{"id":"T1","span":{"begin":357,"end":362},"obj":"Body_part"},{"id":"T2","span":{"begin":371,"end":376},"obj":"Body_part"},{"id":"T3","span":{"begin":562,"end":567},"obj":"Body_part"}],"attributes":[{"id":"A1","pred":"fma_id","subj":"T1","obj":"http://purl.org/sig/ont/fma/fma9670"},{"id":"A2","pred":"fma_id","subj":"T2","obj":"http://purl.org/sig/ont/fma/fma63083"},{"id":"A3","pred":"fma_id","subj":"T3","obj":"http://purl.org/sig/ont/fma/fma9670"}],"text":"emic makes it even harder. Here, we evaluated Aspergillus PCR input to help classifying IA in SARS-CoV-2-infected patients. (2) Methods: 45 COVID-19 patients were prospectively monitored twice weekly for Aspergillus markers and anti-Aspergillus serology. We evaluated the concordance between (I) Aspergillus PCR and culture in respiratory samples, and (II) blood PCR and serum galactomannan. Patients were classified as putative/proven/colonized using AspICU algorithm and two other methods. (3) Results: The concordance of techniques applied on respiratory and blood samples was moderate (kappa = 0.58 and kappa = 0.63, respectively), with a higher sensitivity "}

{"project":"LitCovid-PD-UBERON","denotations":[{"id":"T1","span":{"begin":357,"end":362},"obj":"Body_part"},{"id":"T2","span":{"begin":371,"end":376},"obj":"Body_part"},{"id":"T3","span":{"begin":562,"end":567},"obj":"Body_part"}],"attributes":[{"id":"A1","pred":"uberon_id","subj":"T1","obj":"http://purl.obolibrary.org/obo/UBERON_0000178"},{"id":"A2","pred":"uberon_id","subj":"T2","obj":"http://purl.obolibrary.org/obo/UBERON_0001977"},{"id":"A3","pred":"uberon_id","subj":"T3","obj":"http://purl.obolibrary.org/obo/UBERON_0000178"}],"text":"emic makes it even harder. Here, we evaluated Aspergillus PCR input to help classifying IA in SARS-CoV-2-infected patients. (2) Methods: 45 COVID-19 patients were prospectively monitored twice weekly for Aspergillus markers and anti-Aspergillus serology. We evaluated the concordance between (I) Aspergillus PCR and culture in respiratory samples, and (II) blood PCR and serum galactomannan. Patients were classified as putative/proven/colonized using AspICU algorithm and two other methods. (3) Results: The concordance of techniques applied on respiratory and blood samples was moderate (kappa = 0.58 and kappa = 0.63, respectively), with a higher sensitivity "}

{"project":"LitCovid-PD-MONDO","denotations":[{"id":"T7","span":{"begin":88,"end":90},"obj":"Disease"},{"id":"T8","span":{"begin":94,"end":102},"obj":"Disease"},{"id":"T9","span":{"begin":140,"end":148},"obj":"Disease"}],"attributes":[{"id":"A7","pred":"mondo_id","subj":"T7","obj":"http://purl.obolibrary.org/obo/MONDO_0000240"},{"id":"A8","pred":"mondo_id","subj":"T8","obj":"http://purl.obolibrary.org/obo/MONDO_0005091"},{"id":"A9","pred":"mondo_id","subj":"T9","obj":"http://purl.obolibrary.org/obo/MONDO_0100096"}],"text":"emic makes it even harder. Here, we evaluated Aspergillus PCR input to help classifying IA in SARS-CoV-2-infected patients. (2) Methods: 45 COVID-19 patients were prospectively monitored twice weekly for Aspergillus markers and anti-Aspergillus serology. We evaluated the concordance between (I) Aspergillus PCR and culture in respiratory samples, and (II) blood PCR and serum galactomannan. Patients were classified as putative/proven/colonized using AspICU algorithm and two other methods. (3) Results: The concordance of techniques applied on respiratory and blood samples was moderate (kappa = 0.58 and kappa = 0.63, respectively), with a higher sensitivity "}

{"project":"LitCovid-PD-CLO","denotations":[{"id":"T4","span":{"begin":137,"end":139},"obj":"http://purl.obolibrary.org/obo/CLO_0053799"},{"id":"T5","span":{"begin":357,"end":362},"obj":"http://purl.obolibrary.org/obo/UBERON_0000178"},{"id":"T6","span":{"begin":357,"end":362},"obj":"http://www.ebi.ac.uk/efo/EFO_0000296"},{"id":"T7","span":{"begin":436,"end":445},"obj":"http://purl.obolibrary.org/obo/UBERON_0001155"},{"id":"T8","span":{"begin":562,"end":567},"obj":"http://purl.obolibrary.org/obo/UBERON_0000178"},{"id":"T9","span":{"begin":562,"end":567},"obj":"http://www.ebi.ac.uk/efo/EFO_0000296"},{"id":"T10","span":{"begin":641,"end":642},"obj":"http://purl.obolibrary.org/obo/CLO_0001020"}],"text":"emic makes it even harder. Here, we evaluated Aspergillus PCR input to help classifying IA in SARS-CoV-2-infected patients. (2) Methods: 45 COVID-19 patients were prospectively monitored twice weekly for Aspergillus markers and anti-Aspergillus serology. We evaluated the concordance between (I) Aspergillus PCR and culture in respiratory samples, and (II) blood PCR and serum galactomannan. Patients were classified as putative/proven/colonized using AspICU algorithm and two other methods. (3) Results: The concordance of techniques applied on respiratory and blood samples was moderate (kappa = 0.58 and kappa = 0.63, respectively), with a higher sensitivity "}

{"project":"LitCovid-PD-GlycoEpitope","denotations":[{"id":"T1","span":{"begin":377,"end":390},"obj":"GlycoEpitope"}],"attributes":[{"id":"A1","pred":"glyco_epitope_db_id","subj":"T1","obj":"http://www.glycoepitope.jp/epitopes/EP0510"}],"text":"emic makes it even harder. Here, we evaluated Aspergillus PCR input to help classifying IA in SARS-CoV-2-infected patients. (2) Methods: 45 COVID-19 patients were prospectively monitored twice weekly for Aspergillus markers and anti-Aspergillus serology. We evaluated the concordance between (I) Aspergillus PCR and culture in respiratory samples, and (II) blood PCR and serum galactomannan. Patients were classified as putative/proven/colonized using AspICU algorithm and two other methods. (3) Results: The concordance of techniques applied on respiratory and blood samples was moderate (kappa = 0.58 and kappa = 0.63, respectively), with a higher sensitivity "}

{"project":"LitCovid-sentences","denotations":[{"id":"T6","span":{"begin":27,"end":136},"obj":"Sentence"},{"id":"T7","span":{"begin":137,"end":254},"obj":"Sentence"},{"id":"T8","span":{"begin":255,"end":391},"obj":"Sentence"},{"id":"T9","span":{"begin":392,"end":504},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"text":"emic makes it even harder. Here, we evaluated Aspergillus PCR input to help classifying IA in SARS-CoV-2-infected patients. (2) Methods: 45 COVID-19 patients were prospectively monitored twice weekly for Aspergillus markers and anti-Aspergillus serology. We evaluated the concordance between (I) Aspergillus PCR and culture in respiratory samples, and (II) blood PCR and serum galactomannan. Patients were classified as putative/proven/colonized using AspICU algorithm and two other methods. (3) Results: The concordance of techniques applied on respiratory and blood samples was moderate (kappa = 0.58 and kappa = 0.63, respectively), with a higher sensitivity "}

{"project":"LitCovid-PubTator","denotations":[{"id":"23","span":{"begin":114,"end":122},"obj":"Species"},{"id":"24","span":{"begin":149,"end":157},"obj":"Species"},{"id":"25","span":{"begin":392,"end":400},"obj":"Species"},{"id":"29","span":{"begin":46,"end":57},"obj":"Species"},{"id":"30","span":{"begin":204,"end":215},"obj":"Species"},{"id":"31","span":{"begin":233,"end":244},"obj":"Species"},{"id":"32","span":{"begin":296,"end":307},"obj":"Species"},{"id":"34","span":{"begin":377,"end":390},"obj":"Chemical"},{"id":"37","span":{"begin":94,"end":113},"obj":"Disease"},{"id":"38","span":{"begin":140,"end":148},"obj":"Disease"}],"attributes":[{"id":"A23","pred":"tao:has_database_id","subj":"23","obj":"Tax:9606"},{"id":"A24","pred":"tao:has_database_id","subj":"24","obj":"Tax:9606"},{"id":"A25","pred":"tao:has_database_id","subj":"25","obj":"Tax:9606"},{"id":"A29","pred":"tao:has_database_id","subj":"29","obj":"Tax:746128"},{"id":"A30","pred":"tao:has_database_id","subj":"30","obj":"Tax:746128"},{"id":"A31","pred":"tao:has_database_id","subj":"31","obj":"Tax:746128"},{"id":"A32","pred":"tao:has_database_id","subj":"32","obj":"Tax:746128"},{"id":"A34","pred":"tao:has_database_id","subj":"34","obj":"MESH:C012990"},{"id":"A37","pred":"tao:has_database_id","subj":"37","obj":"MESH:C000657245"},{"id":"A38","pred":"tao:has_database_id","subj":"38","obj":"MESH:C000657245"}],"namespaces":[{"prefix":"Tax","uri":"https://www.ncbi.nlm.nih.gov/taxonomy/"},{"prefix":"MESH","uri":"https://id.nlm.nih.gov/mesh/"},{"prefix":"Gene","uri":"https://www.ncbi.nlm.nih.gov/gene/"},{"prefix":"CVCL","uri":"https://web.expasy.org/cellosaurus/CVCL_"}],"text":"emic makes it even harder. Here, we evaluated Aspergillus PCR input to help classifying IA in SARS-CoV-2-infected patients. (2) Methods: 45 COVID-19 patients were prospectively monitored twice weekly for Aspergillus markers and anti-Aspergillus serology. We evaluated the concordance between (I) Aspergillus PCR and culture in respiratory samples, and (II) blood PCR and serum galactomannan. Patients were classified as putative/proven/colonized using AspICU algorithm and two other methods. (3) Results: The concordance of techniques applied on respiratory and blood samples was moderate (kappa = 0.58 and kappa = 0.63, respectively), with a higher sensitivity "}